diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml index b28952705..f8cfe2162 100644 --- a/.github/workflows/lint.yml +++ b/.github/workflows/lint.yml @@ -5,40 +5,31 @@ on: [push] jobs: lint-python: runs-on: ubuntu-latest - strategy: - matrix: - python-version: ["3.9", "3.10"] steps: - - uses: actions/checkout@v3 - - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v3 - with: - python-version: ${{ matrix.python-version }} - - name: Install dependencies - run: | - python -m pip install --upgrade pip - pip install pycodestyle - - name: Analysing the code with pycodestyle - run: | - pycodestyle --ignore=E501,W503 $(git ls-files 'learning_observer/*.py' 'modules/*.py') + - name: Checkout code + uses: actions/checkout@v3 + - name: Set up Python + uses: actions/setup-python@v4 + with: + python-version: '3.11' + + - name: Install Make + run: sudo apt-get install make + + - name: Lint files + run: make linting-python lint-node: runs-on: ubuntu-latest steps: - name: Checkout code - uses: actions/checkout@v2 - - name: Set up Node.js - uses: actions/setup-node@v2 + uses: actions/checkout@v3 + - name: Set up Node + uses: actions/setup-node@v4 with: - node-version: '16.x' - - name: Install dependencies - run: | - npm install - - - name: List unused CSS - run: npm run find-unused-css + node-version: '22.x' - - name: Lint CSS - run: npm run lint:css + - name: Install Make + run: sudo apt-get install make - - name: Lint JS - run: npm run lint:js + - name: Lint files + run: make linting-node diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml deleted file mode 100644 index a12bd81d9..000000000 --- a/.github/workflows/pytest.yml +++ /dev/null @@ -1,14 +0,0 @@ -name: Pytest - -on: [push] - -jobs: - build: - runs-on: ubuntu-latest - steps: - - name: Checkout code - uses: actions/checkout@v3 - - name: Build Docker image - run: docker build -t lotesting . - - name: Run tests - run: docker run lotesting diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml new file mode 100644 index 000000000..490d33e0e --- /dev/null +++ b/.github/workflows/test.yml @@ -0,0 +1,51 @@ +name: Test packages + +on: [push] + +jobs: + test-packages: + runs-on: ubuntu-latest + strategy: + matrix: + package: ['learning_observer/', 'modules/writing_observer/'] + steps: + - name: Checkout code + uses: actions/checkout@v3 + - name: Set up Python + uses: actions/setup-python@v4 + with: + python-version: '3.11' + + - name: Install Make + run: sudo apt-get install make + + - name: Get list of changed files + id: changes + run: | + git fetch origin master + git diff --name-only origin/master HEAD > changed_files.txt + + - name: Check if package has changes + id: package_check + run: | + if grep -qE "^${{ matrix.package }}" changed_files.txt; then + echo "run_tests=true" >> $GITHUB_ENV + else + echo "run_tests=false" >> $GITHUB_ENV + fi + + - name: Skip tests if no changes + if: env.run_tests == 'false' + run: echo "Skipping tests for ${{ matrix.package }} as there are no changes." + + - name: Install the base Learning Observer + if: env.run_tests == 'true' + run: make install + + - name: Install the package with pip + if: env.run_tests == 'true' + run: pip install -e ${{ matrix.package }} + + - name: Run tests + if: env.run_tests == 'true' + run: make test PKG=${{ matrix.package }} diff --git a/.github/workflows/versioning.yml b/.github/workflows/versioning.yml deleted file mode 100644 index a0b2fd439..000000000 --- a/.github/workflows/versioning.yml +++ /dev/null @@ -1,27 +0,0 @@ -name: Pytest - -on: - push: - branches: - - master - -jobs: - build: - runs-on: ubuntu-latest - steps: - - name: GitHub Script - uses: actions/github-script@v7.0.1 - with: - # The script to run - script: | - const shortSHA = context.sha.substring(0, 7); - const date = new Date().toISOString().split('T')[0]; // Gets date in YYYY-MM-DD format - const formattedDate = date.replace(/-/g, '.'); // Replaces '-' with '.' - const tagName = `${formattedDate}-${shortSHA}`; - - github.rest.git.createRef({ - owner: context.repo.owner, - repo: context.repo.repo, - ref: `refs/tags/${tagName}`, - sha: context.sha - }) diff --git a/.gitignore b/.gitignore index d951ebd57..6f37666ef 100644 --- a/.gitignore +++ b/.gitignore @@ -37,4 +37,7 @@ LanguageTool-5.4 package-lock.json learning_observer/learning_observer/static_data/google/ learning_observer/learning_observer/static_data/admins.yaml -.ipynb_checkpoints/ \ No newline at end of file +.ipynb_checkpoints/ +.eggs/ +.next/ +modules/wo_portfolio_diff/wo_portfolio_diff/portfolio_diff/* \ No newline at end of file diff --git a/Makefile b/Makefile index f22128c14..a45c90b55 100644 --- a/Makefile +++ b/Makefile @@ -1,16 +1,40 @@ -PACKAGES ?= wo,awe +# TODO rename these packages to something else +PACKAGES ?= wo + +help: + @echo "Available commands:" + @echo "" + @echo " run Run the learning_observer Python application." + @echo " install-pre-commit-hook Install the pre-commit git hook." + @echo " install Install the learning_observer package in development mode." + @echo " install-dev Install dev dependencies (requires additional setup)." + @echo " install-packages Install specific packages: [${PACKAGES}]." + @echo " test Run tests for the specified package (PKG=)." + @echo " linting-setup Setup linting tools and dependencies." + @echo " linting-python Lint Python files using pycodestyle and pylint." + @echo " linting-node Lint Node files (JS, CSS, and unused CSS detection)." + @echo " linting Perform all linting tasks (Python and Node)." + @echo " build-wo-chrome-extension Build the writing-process extension." + @echo " build-python-distribution Build a distribution for the specified package (PKG=)." + @echo "" + @echo "Note: All commands are executed in the current shell environment." + @echo " Ensure your virtual environment is activated if desired, as installs and actions" + @echo " will occur in the environment where the 'make' command is run." + @echo "" + @echo "Use 'make ' to execute a command. For example: make run" run: # If you haven't done so yet, run: make install # we need to make sure we are on the virtual env when we do this cd learning_observer && python learning_observer -venv: - # This is unnecessary since LO installs requirements on install. - # pip install --no-cache-dir -r requirements.txt +# Install commands +install-pre-commit-hook: + # Adding pre-commit.sh to Git hooks + cp scripts/hooks/pre-commit.sh .git/hooks/pre-commit + chmod +x .git/hooks/pre-commit -# install commands -install: venv +install: install-pre-commit-hook # The following only works with specified packages # we need to install learning_observer in dev mode to # more easily pass in specific files we need, such as creds @@ -25,52 +49,28 @@ install: venv @LODRC_CURRENT=$$(curl -s https://raw.githubusercontent.com/ETS-Next-Gen/lo_assets/main/lo_dash_react_components/lo_dash_react_components-current.tar.gz); \ pip install https://raw.githubusercontent.com/ETS-Next-Gen/lo_assets/main/lo_dash_react_components/$${LODRC_CURRENT} -install-dev: venv +install-dev: # TODO create a dev requirements file pip install --no-cache-dir -e learning_observer/[${PACKAGES}] . ${HOME}/.nvm/nvm.sh && nvm use && pip install -v -e modules/lo_dash_react_components/ -install-packages: venv +install-packages: pip install -e learning_observer/[${PACKAGES}] - # Just a little bit of dependency hell... - - # The AWE Components are built using a specific version of - # `spacy`. This requires an out-of-date `typing-extensions` - # package. There are few other dependecies that require a - # newer version. As far as I can tell, upgrading this package - # does not effect the functionality we receive from the AWE - # components. - # TODO remove this extra step after AWE Component's `spacy` - # is no longer version locked. - # This is no longer an issue, but we will leave until all - # dependecies can be resolved in the appropriate locations. - # pip install -U typing-extensions - - # On Python3.11 with tensorflow, we get some odd errors - # regarding compatibility with `protobuf`. Some installation - # files are missing from the protobuf binary on pip. - # Using the `--no-binary` option includes all files. - pip uninstall -y protobuf - pip install --no-binary=protobuf protobuf==4.25 - -# testing commands +# Testing commands test: - # this is where we run doctests - pytest modules/wo_highlight_dashboard + @if [ -z "$(PKG)" ]; then echo "No module specified, please try again with \"make test PKG=path/to/module\""; exit 1; fi + ./test.sh $(PKG) # Linting commands -linting-setup: - # Setting up linting related packages - pip install pycodestyle pylint - npm install - linting-python: # Linting Python modules + pip install pycodestyle pylint pycodestyle --ignore=E501,W503 $$(git ls-files 'learning_observer/*.py' 'modules/*.py') pylint -d W0613,W0511,C0301,R0913,too-few-public-methods $$(git ls-files 'learning_observer/*.py' 'modules/*.py') linting-node: + npm install # TODO each of these have lots of errors and block # the next item from running # Starting to lint Node modules @@ -84,8 +84,27 @@ linting-node: linting: linting-setup linting-python linting-node # Finished linting -build-writing-ext: +# Build commands +build-wo-chrome-extension: # Installing LO Event cd modules/lo_event && npm install & npm link lo_event # Building extension cd extension/writing-process && npm install && npm run build + +build-python-distribution: + # Building distribution for package + pip install build + # Switching to package directory + cd $(PKG) && python -m build + +# TODO we may want to have a separate command for uploading to testpypi +upload-python-package-to-pypi: build-python-distribution + pip install twine + # TODO we currently only upload to testpypi + # TODO we need to include `TWINE_USERNAME=__token__` + # and `TWINE_PASSWORD={ourTwineToken}` to authenticate + # + # TODO We have not fully tested the following commands. + # Try out the following steps and fix any bugs so the + # Makefile can do it automatically. + # cd $(PKG) && twine upload -r testpypi dist/* diff --git a/README.md b/README.md index 589843d63..b555f2276 100644 --- a/README.md +++ b/README.md @@ -7,7 +7,7 @@ learning analytics dashboard to help instructors be able to manage student learning processes, and in particular, student writing processes. -![linting](https://github.com/ETS-Next-Gen/writing_observer/actions/workflows/pycodestyle.yml/badge.svg) +![linting](https://github.com/ArgLab/writing_observer/actions/workflows/pycodestyle.yml/badge.svg) ## Learning Observer @@ -17,6 +17,14 @@ per-student writing data, and aggegators to make dashboards. We've tested this in math and writing, but our focus is on writing process data. +At a high level, Learning Observer functions as an application platform. +The primary `learning_observer` module bootstraps the system: it loads +configuration, connects to storage and messaging back ends, and brokers +communication with data sources. Other modules plug into that +infrastructure to define the specific reducers, dashboards, and other +items that users interact with, letting teams experiment with new +features without having to reimplement the platform core. + It's not finished, but it's moving along quickly. ## Writing Observer @@ -54,9 +62,9 @@ that the core approach and APIs are correct. ## Getting Started -We have a short guide to [getting started](docs/workshop.md). Getting -the base system working is pretty easy. The guide is pretty -comprehensive (including how to develop your first module). +We have a short guide to [installing the system](docs/tutorials/install.md). +Getting the base system working is pretty easy. To create a new module +for the system to use, check out our [cookiecutter module guide](docs/tutorials/cookiecutter-module.md). ### System requirements diff --git a/VERSION b/VERSION new file mode 100644 index 000000000..42ec10d5b --- /dev/null +++ b/VERSION @@ -0,0 +1 @@ +0.1.0+2026.03.06T16.07.48.997Z.0bfff3a0.berickson.20260303.copy.paste.reducer diff --git a/autodocs/.gitignore b/autodocs/.gitignore index 9c36f954f..90045b728 100644 --- a/autodocs/.gitignore +++ b/autodocs/.gitignore @@ -1,3 +1,4 @@ _build/ generated/ apidocs/ +module_readmes/ diff --git a/autodocs/api.rst b/autodocs/api.rst index ab7dcdf04..2d744d115 100644 --- a/autodocs/api.rst +++ b/autodocs/api.rst @@ -2,5 +2,6 @@ API === .. toctree:: + :maxdepth: 4 apidocs/index diff --git a/autodocs/concepts.rst b/autodocs/concepts.rst new file mode 100644 index 000000000..8c0002830 --- /dev/null +++ b/autodocs/concepts.rst @@ -0,0 +1,49 @@ +Concepts +============= + +Explanations of key ideas, principles, and background knowledge. +Follow this recommended sequence to build context before diving into +implementation details: + +- :doc:`History ` - establishes the background and + problem space the project is addressing. +- :doc:`System Design ` - explains how the product + strategy and user needs translate into an overall system approach. +- :doc:`Architecture ` - outlines the concrete + architecture that implements the system design. +- :doc:`Technologies ` - surveys the primary tools + and platforms we rely on to realize the architecture. +- :doc:`System Settings ` - describes how the + system loads global and cascading settings. +- :doc:`Events ` - introduces the event model that drives + data flowing through the system. +- :doc:`Reducers ` - details how incoming events are + aggregated into the state our experiences depend on. +- :doc:`Communication Protocol ` - discusses how + the system queries data from reducers for dashboards. +- :doc:`Student Identity Mapping ` - explain + how learners information is mapped across integrations. +- :doc:`Scaling ` - covers strategies for growing the + system once the fundamentals are in place. +- :doc:`Auth ` - describes authentication considerations + that secure access to the system. +- :doc:`Privacy ` - documents how we protect learner data + and comply with privacy expectations. + +.. toctree:: + :hidden: + :maxdepth: 1 + :titlesonly: + + docs/concepts/history + docs/concepts/system_design + docs/concepts/architecture + docs/concepts/technologies + docs/concepts/system_settings + docs/concepts/events + docs/concepts/reducers + docs/concepts/communication_protocol + docs/concepts/student_identity_mapping + docs/concepts/scaling + docs/concepts/auth + docs/concepts/privacy diff --git a/autodocs/conf.py b/autodocs/conf.py index 84d390af0..3af5b92ef 100644 --- a/autodocs/conf.py +++ b/autodocs/conf.py @@ -1,5 +1,10 @@ -import sys import os +import pathlib +import re +import shutil +import sphinx.util +import sys +import unicodedata # Configuration file for the Sphinx documentation builder. # # For the full list of built-in configuration values, see the documentation: @@ -9,7 +14,7 @@ # https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information project = 'Learning Observer' -copyright = '2023, Bradley Erickson' +copyright = '2020-2025, Bradley Erickson' author = 'Bradley Erickson' # -- General configuration --------------------------------------------------- @@ -26,6 +31,9 @@ '../modules/writing_observer/writing_observer' ] +autodoc2_output_dir = 'apidocs' +autodoc2_member_order = 'bysource' + source_suffix = { '.rst': 'restructuredtext', '.md': 'markdown', @@ -40,3 +48,143 @@ html_theme = 'alabaster' html_static_path = ['_static'] + +LOGGER = sphinx.util.logging.getLogger(__name__) + + +_MARKDOWN_IMAGE_PATTERN = re.compile(r'!\[[^\]]*\]\(([^)]+)\)') +_RST_IMAGE_PATTERNS = [ + re.compile(r'\.\.\s+image::\s+([^\s]+)'), + re.compile(r'\.\.\s+figure::\s+([^\s]+)'), +] + + +def _extract_local_assets(text): + """Return relative asset paths referenced in the provided README text.""" + + asset_paths = set() + for match in _MARKDOWN_IMAGE_PATTERN.findall(text): + asset_paths.add(match) + for pattern in _RST_IMAGE_PATTERNS: + asset_paths.update(pattern.findall(text)) + + filtered_assets = set() + for raw_path in asset_paths: + candidate = raw_path.strip() + if not candidate: + continue + # Remove optional titles ("path "optional title"") and URL fragments + candidate = candidate.split()[0] + candidate = candidate.split('#', maxsplit=1)[0] + candidate = candidate.split('?', maxsplit=1)[0] + + if candidate.startswith(('http://', 'https://', 'data:')): + continue + if candidate.startswith('#'): + continue + + filtered_assets.add(candidate) + + return sorted(filtered_assets) + + +def _copy_module_assets(readme_path, destination_dir): + """Copy image assets referenced by ``readme_path`` into ``destination_dir``.""" + + module_dir = readme_path.parent.resolve() + readme_text = readme_path.read_text(encoding='utf-8') + asset_paths = _extract_local_assets(readme_text) + for asset in asset_paths: + relative_posix_path = pathlib.PurePosixPath(asset) + if relative_posix_path.is_absolute(): + LOGGER.warning( + "Skipping absolute image path %s referenced in %s", asset, readme_path + ) + continue + + normalized_relative_path = pathlib.Path(*relative_posix_path.parts) + source_path = (module_dir / normalized_relative_path).resolve(strict=False) + + try: + source_path.relative_to(module_dir) + except ValueError: + LOGGER.warning( + "Skipping image outside module directory: %s referenced in %s", + asset, + readme_path, + ) + continue + + if not source_path.exists(): + LOGGER.warning( + "Referenced image %s in %s was not found", asset, readme_path + ) + continue + + destination_path = destination_dir / normalized_relative_path + destination_path.parent.mkdir(parents=True, exist_ok=True) + shutil.copy2(source_path, destination_path) + + +def _extract_readme_title(readme_path: pathlib.Path) -> str: + """Return the first Markdown heading in ``readme_path``. + + Defaults to the parent directory name if no heading can be found. + """ + + try: + for line in readme_path.read_text(encoding='utf-8').splitlines(): + stripped = line.strip() + if stripped.startswith('#'): + title = stripped.lstrip('#').strip() + if title: + return title + except OSError as exc: # pragma: no cover - filesystem error propagation + LOGGER.warning("unable to read %s: %s", readme_path, exc) + + return readme_path.parent.name + + +def _slugify(text: str) -> str: + """Convert ``text`` to a lowercase filename-safe slug.""" + + normalized = unicodedata.normalize('NFKD', text) + without_diacritics = ''.join(ch for ch in normalized if not unicodedata.combining(ch)) + slug = re.sub(r'[^a-z0-9]+', '-', without_diacritics.casefold()).strip('-') + return slug or 'module' + + +def _copy_module_readmes(app): + """Populate ``module_readmes`` with module README files and assets.""" + + docs_root = pathlib.Path(__file__).parent.resolve() + modules_root = docs_root.parent / 'modules' + destination_root = docs_root / 'module_readmes' + + if not modules_root.exists(): + LOGGER.warning("modules directory %s was not found", modules_root) + return + + if destination_root.exists(): + shutil.rmtree(destination_root) + destination_root.mkdir(parents=True, exist_ok=True) + + readme_info = [] + for readme_path in modules_root.glob('*/README.md'): + title = _extract_readme_title(readme_path) + readme_info.append((title, readme_path)) + + readme_info.sort(key=lambda item: item[0].casefold()) + + for title, readme_path in readme_info: + module_name = readme_path.parent.name + slug = _slugify(title) + module_destination = destination_root / f'{slug}--{module_name}' + module_destination.mkdir(parents=True, exist_ok=True) + destination_path = module_destination / "README.md" + shutil.copy2(readme_path, destination_path) + _copy_module_assets(readme_path, module_destination) + + +def setup(app): + app.connect('builder-inited', _copy_module_readmes) diff --git a/autodocs/development.rst b/autodocs/development.rst deleted file mode 100644 index 2fae1da45..000000000 --- a/autodocs/development.rst +++ /dev/null @@ -1,25 +0,0 @@ -.. _development: - -Development ------------ - -.. include:: ../docs/documentation.md - :parser: myst_parser.sphinx_ -.. include:: ../modules/lo_dash_react_components/README.md - :parser: myst_parser.sphinx_ -.. include:: ../modules/lo_event/README.md - :parser: myst_parser.sphinx_ -.. include:: ../modules/writing_observer/README.md - :parser: myst_parser.sphinx_ -.. include:: ../docs/interactive_environments.md - :parser: myst_parser.sphinx_ -.. include:: ../docs/privacy.md - :parser: myst_parser.sphinx_ -.. include:: ../docs/config.md - :parser: myst_parser.sphinx_ -.. include:: ../docs/linting.md - :parser: myst_parser.sphinx_ -.. include:: ../docs/testing.md - :parser: myst_parser.sphinx_ -.. include:: ../docs/technologies.md - :parser: myst_parser.sphinx_ diff --git a/autodocs/docs b/autodocs/docs new file mode 120000 index 000000000..6246dffc3 --- /dev/null +++ b/autodocs/docs @@ -0,0 +1 @@ +../docs/ \ No newline at end of file diff --git a/autodocs/extension.rst b/autodocs/extension.rst deleted file mode 100644 index 8bc9e1ca3..000000000 --- a/autodocs/extension.rst +++ /dev/null @@ -1,6 +0,0 @@ -.. _extension: - -Extension ---------- -.. include:: ../docs/extension.md - :parser: myst_parser.sphinx_ diff --git a/autodocs/how-to.rst b/autodocs/how-to.rst new file mode 100644 index 000000000..9b97f0992 --- /dev/null +++ b/autodocs/how-to.rst @@ -0,0 +1,31 @@ +How-to +============= + +Practical instructions for achieving specific goals within Learning Observer. Use these guides when you know what outcome you need and want a proven recipe to follow: + +- :doc:`Communication Protocol ` - How to query data from reducers or system endpoints for dashboards. +- :doc:`Build Dashboards ` - Walk through creating dashboards from reducer outputs, including layout choices and data wiring. +- :doc:`Offline Reducer Replay ` - Explain how to repopulate reducer content with study logs. +- :doc:`Serve as LTI application` - Cover how to install Learning Observer as an LTI application. +- :doc:`Connect LO Blocks to Canvas via Learning Observer` - Show how to connect launch LO Blocks through Learning Observer from within Canvas. +- :doc:`Configure Multiple Roster Sources` - Allow the system to dynamically choose a roster source given a user's context. +- :doc:`Run with Docker ` - Learn how to containerize the stack, manage images, and operate the project using Docker Compose. +- :doc:`Writing Observer Extension ` - Install, configure, and validate the Writing Observer browser extension for capturing events. +- :doc:`Interactive Environments ` - Connect Learning Observer to Jupyter and other live coding setups for iterative development. +- :doc:`Impersonate Users ` - Start and stop acting as another user while keeping dashboards informed. + +.. toctree:: + :hidden: + :maxdepth: 1 + :titlesonly: + + docs/how-to/communication_protocol.md + docs/how-to/dashboards.md + docs/how-to/offline_replay.md + docs/how-to/lti.md + docs/how-to/connect_lo_blocks_to_canvas.md + docs/how-to/multiple_roster_sources.md + docs/how-to/docker.md + docs/how-to/extension.md + docs/how-to/interactive_environments.md + docs/how-to/impersonation.md diff --git a/autodocs/images.rst b/autodocs/images.rst deleted file mode 100644 index eae7f3bfa..000000000 --- a/autodocs/images.rst +++ /dev/null @@ -1,10 +0,0 @@ -.. _images: - -Images -================= - -.. image:: ../docs/_images/block.png - -.. image:: ../docs/_images/lo_block.png - -.. image:: ../docs/_images/mmnd.png diff --git a/autodocs/index.rst b/autodocs/index.rst index c631233ae..10bedee6f 100644 --- a/autodocs/index.rst +++ b/autodocs/index.rst @@ -12,13 +12,27 @@ per-student writing data, and aggegators to make dashboards. We've tested this in math and writing, but our focus is on writing process data. +At a high level, Learning Observer operates as an application platform: +the core :mod:`learning_observer` package boots the system, loads +configured modules, and manages shared data services, while each module +provides the specific dashboards, reducers, and other artifacts that +users interact with. + +Our documentation is organized into four main categories, each serving a different purpose. You can explore them below: + +- :doc:`Tutorials ` - Step-by-step guides to help you learn by doing. +- :doc:`Concepts ` - Explanations of key ideas and background knowledge. +- :doc:`How-To ` - Practical instructions to solve specific goals. +- :doc:`Reference ` - Detailed API/configuration information. + .. toctree:: - :maxdepth: 2 + :hidden: + :maxdepth: 3 - development - system_design - extension - api + tutorials + concepts + how-to + reference Additional Information ---------------------- diff --git a/autodocs/modules.rst b/autodocs/modules.rst new file mode 100644 index 000000000..a8395ea34 --- /dev/null +++ b/autodocs/modules.rst @@ -0,0 +1,9 @@ +Modules +----------- +The module READMEs are collected automatically during the Sphinx build. + +.. toctree:: + :maxdepth: 1 + :glob: + + module_readmes/*/README diff --git a/autodocs/reference.rst b/autodocs/reference.rst new file mode 100644 index 000000000..ba358f17b --- /dev/null +++ b/autodocs/reference.rst @@ -0,0 +1,27 @@ +Reference +============= + +Detailed, structured information about APIs, configurations, and technical details. Consult these resources when you need definitive answers about how the system behaves or how to integrate with it: + +- :doc:`Code Quality Standards ` - Understand our expectations for readability, style, and continuous improvement. +- :doc:`System Settings ` - Review what each system setting does and where it is used. +- :doc:`Documentation Conventions ` - Learn how we structure docs, what tools we use, and how to contribute updates. +- :doc:`Linting Rules ` - Review the automated checks that keep the codebase healthy and how to run them locally. +- :doc:`Testing Strategy ` - Explore the testing layers we rely on and guidelines for writing reliable tests. +- :doc:`Versioning and Releases ` - See how we tag releases, manage dependencies, and maintain backward compatibility. +- :doc:`Module Reference ` - Dive into the autogenerated API reference for Python modules within Learning Observer. +- :doc:`API Reference ` - Inspect the internal functionality of the system. + +.. toctree:: + :hidden: + :maxdepth: 1 + :titlesonly: + + docs/reference/code_quality.md + docs/reference/system_settings.md + docs/reference/documentation.md + docs/reference/linting.md + docs/reference/testing.md + docs/reference/versioning.md + modules + api diff --git a/autodocs/system_design.rst b/autodocs/system_design.rst deleted file mode 100644 index a48558798..000000000 --- a/autodocs/system_design.rst +++ /dev/null @@ -1,14 +0,0 @@ -.. _system_design: - -System Design -------------- -.. include:: ../docs/architecture.md - :parser: myst_parser.sphinx_ -.. include:: ../docs/auth.md - :parser: myst_parser.sphinx_ -.. include:: ../docs/system_design.md - :parser: myst_parser.sphinx_ -.. include:: ../docs/events.md - :parser: myst_parser.sphinx_ -.. include:: ../docs/reducers.md - :parser: myst_parser.sphinx_ diff --git a/autodocs/tutorials.rst b/autodocs/tutorials.rst new file mode 100644 index 000000000..0d6771b53 --- /dev/null +++ b/autodocs/tutorials.rst @@ -0,0 +1,15 @@ +Tutorials +============= + +Step-by-step guides that teach by doing. Follow these tutorials to get hands-on experience with core workflows: + +- :doc:`Install Learning Observer ` - Set up the development environment, install dependencies, and verify your deployment. +- :doc:`Create a Module with Cookiecutter ` - Generate a new module scaffold, customize it, and understand the key files produced by the template. + +.. toctree:: + :hidden: + :maxdepth: 1 + :titlesonly: + + docs/tutorials/install.md + docs/tutorials/cookiecutter-module.md diff --git a/awe_requirements.txt b/awe_requirements.txt deleted file mode 100644 index 042887396..000000000 --- a/awe_requirements.txt +++ /dev/null @@ -1,7 +0,0 @@ -spacy==3.4.4 -pydantic==1.10 -spacytextblob==3.0.1 -AWE_SpellCorrect @ git+https://github.com/ETS-Next-Gen/AWE_SpellCorrect.git -AWE_Components @ git+https://github.com/ETS-Next-Gen/AWE_Components.git -AWE_Lexica @ git+https://github.com/ETS-Next-Gen/AWE_Lexica.git -AWE_LanguageTool @ git+https://github.com/ETS-Next-Gen/AWE_LanguageTool.git diff --git a/devops/requirements.txt b/devops/requirements.txt index fbb305608..e548f11b9 100644 --- a/devops/requirements.txt +++ b/devops/requirements.txt @@ -2,4 +2,5 @@ chevron boto3 pyyaml fabric - +invoke +filetype diff --git a/devops/single_server_instances/README.md b/devops/single_server_instances/README.md new file mode 100644 index 000000000..f2123849b --- /dev/null +++ b/devops/single_server_instances/README.md @@ -0,0 +1,74 @@ +# Learning Observer — Instance Control Scripts + +This directory contains two bash scripts to start and stop multiple instances of the `learning_observer` application. + +## Files + +* **`start_lo_instances.sh`** — Launches one or more instances of the app on sequential ports, creates log files, and stores process IDs in a PID directory. +* **`stop_lo_instances.sh`** — Stops all running instances recorded in the PID directory. + +## Configuration + +Before use, edit the scripts to match your system: + +* `LEARNING_OBSERVER_LOC` — Path to your project code. +* `VIRTUALENV_PATH` — Path to your Python virtual environment. +* `LOGFILE_DEST` — Directory for logs (default `/var/log/learning_observer`). +* `START_PORT` — First port to use. +* `SCRIPT_NAME` — Command or Python file to run. + +## Usage + +Start instances (default: 1): + +```bash +./start_lo_instances.sh +./start_lo_instances.sh 3 # start 3 instances +``` + +Stop all instances: + +```bash +./stop_lo_instances.sh +``` + +Logs are saved in `LOGFILE_DEST`, and PIDs are stored in `LOGFILE_DEST/pids`. +You may need to change paths or permissions depending on your environment. + +## Nginx Settings + +The file `nginx.conf.example` provides a sample configration for Nginx when you start 4 instances of LO. +First, these settings split the incoming events and all other traffic between 2 upstream servers. +Each upstream server balances connections between 2 instances of Learning Observer. + +```text +Incoming Request + │ + ▼ ++---------------+ +| NGINX | ++---------------+ + │ + ▼ + Path starts + with "/wsapi/in/"? + ┌───────────────┐ + Yes│ │No + ▼ ▼ ++------------------+ +-----------------+ +| wsapi_in_backend | | general_backend | +| | | | ++-------+----------+ +--------+--------+ + │ │ + +----+----+ +----+----+ Balanced by least + | App 1 | | App 3 | connections `least_conn` + | :9001 | | :9003 | + +---------+ +---------+ + +----+----+ +----+----+ + | App 2 | | App 4 | + | :9002 | | :9004 | + +---------+ +---------+ +``` + +Note: these are settings to add to your nginx configuration. +You will likely have other settings, such as ssl certificates. diff --git a/devops/single_server_instances/nginx.conf.example b/devops/single_server_instances/nginx.conf.example new file mode 100644 index 000000000..571ba0f2d --- /dev/null +++ b/devops/single_server_instances/nginx.conf.example @@ -0,0 +1,55 @@ +# Upstreams +upstream wsapi_in_backend { + least_conn; + server 127.0.0.1:9001; + server 127.0.0.1:9002; +} + +upstream general_backend { + least_conn; + server 127.0.0.1:9003; + server 127.0.0.1:9004; +} + +# Simple CORS preflight detection +map $request_method $cors_preflight { + default 0; + OPTIONS 1; +} + +server { + # Common proxy headers for everything + proxy_set_header X-Real-IP $remote_addr; + proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; + proxy_http_version 1.1; + proxy_set_header Upgrade $http_upgrade; + proxy_set_header Connection "upgrade"; + + # --- Split route for /wsapi/in/ --- + location /wsapi/in/ { + proxy_pass http://wsapi_in_backend; + proxy_read_timeout 86400; + + add_header 'Access-Control-Allow-Origin' '*'; + add_header 'Access-Control-Allow-Methods' 'GET, POST, OPTIONS, HEAD'; + add_header 'Access-Control-Allow-Headers' 'Authorization, Origin, X-Requested-With, Content-Type, Accept'; + + if ($cors_preflight) { + return 200; + } + } + + # --- Everything else goes to general backend --- + location / { + proxy_pass http://general_backend; + proxy_read_timeout 86400; + + add_header 'Access-Control-Allow-Origin' '*'; + add_header 'Access-Control-Allow-Methods' 'GET, POST, OPTIONS, HEAD'; + add_header 'Access-Control-Allow-Headers' 'Authorization, Origin, X-Requested-With, Content-Type, Accept'; + + if ($cors_preflight) { + return 200; + } + } +} diff --git a/devops/single_server_instances/start_lo_instances.sh b/devops/single_server_instances/start_lo_instances.sh new file mode 100755 index 000000000..c872430dc --- /dev/null +++ b/devops/single_server_instances/start_lo_instances.sh @@ -0,0 +1,39 @@ +#!/bin/bash + +# === Config === +NUM_SERVERS=${1:-1} # default 1 server instance +START_PORT=9001 +LOGFILE_DEST="/var/log/learning_observer" +PIDFILE_DIR="$LOGFILE_DEST/pids" +LEARNING_OBSERVER_LOC="/path/to/your/code" +VIRTUALENV_PATH="/path/to/your/venv" +SCRIPT_NAME="learning_observer" + +# Create log + pid dirs if they don't exist +mkdir -p "$LOGFILE_DEST" +mkdir -p "$PIDFILE_DIR" + +# Timestamp for log grouping +LOG_DATE=$(date "+%m-%d-%Y--%H-%M-%S") + +# === Start Servers === +echo "Starting $NUM_SERVERS instances of $SCRIPT_NAME..." + +cd "$LEARNING_OBSERVER_LOC" +source "$VIRTUALENV_PATH/bin/activate" + +for ((i=0; i Log: $LOGFILE_NAME" + nohup python $SCRIPT_NAME --port $PORT > "$LOGFILE_NAME" 2>&1 & + PROCESS_ID=$! + echo $PROCESS_ID > "$PIDFILE_NAME" + echo " -> PID $PROCESS_ID logged to $PIDFILE_NAME" +done + +echo "✅ All servers started." +echo "Run ./scripts/stop_lo_instances.sh to stop server processes." diff --git a/devops/single_server_instances/stop_lo_instances.sh b/devops/single_server_instances/stop_lo_instances.sh new file mode 100755 index 000000000..2a3243445 --- /dev/null +++ b/devops/single_server_instances/stop_lo_instances.sh @@ -0,0 +1,29 @@ +#!/bin/bash + +# === Config === +LOGFILE_DEST="/var/log/learning_observer" +PIDFILE_DIR="$LOGFILE_DEST/pids" +SCRIPT_NAME="learning_observer" + +# === Stop All Servers === +echo "Stopping all $SCRIPT_NAME servers..." + +if [ ! -d "$PIDFILE_DIR" ]; then + echo "PID directory not found. Nothing to stop." + exit 1 +fi + +for PIDFILE in "$PIDFILE_DIR"/*.pid; do + if [ -f "$PIDFILE" ]; then + PID=$(cat "$PIDFILE") + if kill -0 "$PID" 2>/dev/null; then + echo "Stopping PID $PID from $PIDFILE" + kill "$PID" + else + echo "PID $PID not running, skipping." + fi + rm -f "$PIDFILE" + fi +done + +echo "✅ All servers stopped." diff --git a/devops/tasks/remote_scripts/gitpaths.py b/devops/tasks/remote_scripts/gitpaths.py index 80801ca85..db0db4d52 100644 --- a/devops/tasks/remote_scripts/gitpaths.py +++ b/devops/tasks/remote_scripts/gitpaths.py @@ -10,7 +10,7 @@ def gitpath_to_name(packagepath): ''' Convert a git path to the name of the repo. For example: - `https://github.com/ETS-Next-Gen/writing_observer.git` ==> `writing_observer` + `https://github.com/ArgLab/writing_observer.git` ==> `writing_observer` ''' package = os.path.split(packagepath)[1] if package.endswith(".git"): diff --git a/devops/tasks/scripts/baseline_packages.fab b/devops/tasks/scripts/baseline_packages.fab index fbd88ece4..a4b19fe9c 100644 --- a/devops/tasks/scripts/baseline_packages.fab +++ b/devops/tasks/scripts/baseline_packages.fab @@ -1,4 +1,4 @@ cd sudo apt-get -y install git ansible awscli -git clone https://github.com/ETS-Next-Gen/writing_observer.git +git clone https://github.com/ArgLab/writing_observer.git cd writing_observer/devops/ansible ; sudo ansible-playbook local.yaml diff --git a/docs/architecture.md b/docs/concepts/architecture.md similarity index 81% rename from docs/architecture.md rename to docs/concepts/architecture.md index cdfead31e..084a65170 100644 --- a/docs/architecture.md +++ b/docs/concepts/architecture.md @@ -5,7 +5,7 @@ Piotr Mitros ## Introduction Like all such documents, this document should be taken with a grain of -salt. It my be out-of-date, or not fully implemented. +salt. It my be out-of-date, or not fully implemented. ## Overview @@ -19,6 +19,17 @@ salt. It my be out-of-date, or not fully implemented. 5. Consumers can aggregate these notifications, inspect the external state, and make a dashboard. +## Application platform structure + +Learning Observer acts as the shared platform that hosts and coordinates +modules. The core `learning_observer` package owns the boot process: it +loads configuration, establishes connections to databases and pub/sub +systems, and exposes the APIs modules use to register reducers, +dashboards, and other artifacts. Individual modules focus on defining +those artifacts, relying on the platform to handle data ingestion and +communication so new functionality can be added without duplicating the +runtime infrastructure. + ### Technology choices 1. Generic student information (e.g. names, auth, etc.) cn live in diff --git a/docs/auth.md b/docs/concepts/auth.md similarity index 100% rename from docs/auth.md rename to docs/concepts/auth.md diff --git a/docs/concepts/communication_protocol.md b/docs/concepts/communication_protocol.md new file mode 100644 index 000000000..3738286a4 --- /dev/null +++ b/docs/concepts/communication_protocol.md @@ -0,0 +1,131 @@ +# Communication Protocol + +The communication protocol is Learning Observer's query and transport +layer. It allows dashboards, notebooks, and other clients to request +aggregated data from the key-value store and supporting services by +submitting a declarative *execution DAG* (directed acyclic graph). The +server evaluates the DAG node-by-node, resolves the required +parameters, executes reducers or helper functions, and returns the +assembled result. This document explains how that process fits +together, the core building blocks you can use in a query, and the +helper utilities that make it easier to integrate those queries into +applications. + +## Lifecycle of a Request + +1. **Query construction** - A client builds a nested query description + in Python (or another language) with the helpers in + `learning_observer.communication_protocol.query`. The helpers mirror + relational concepts such as parameters, joins, and projections and + produce JSON-serialisable dictionaries. (See: query.py L1-L123) +2. **Flattening** - Before execution, the DAG is normalised so every + node has a unique identifier and can reference other nodes via + `variable` pointers. The `flatten` utility rewrites nested + structures such as `select(keys(...))` into separate nodes to make + evaluation straightforward. (See: util.py L1-L59) +3. **Execution** - The executor walks the flattened DAG, dispatching + each node type to a registered handler. Nodes can call Python + functions, fetch keys from the key-value store, join intermediate + datasets, or map functions across collections. The executor + assembles the final payload and enforces error handling through the + `DAGExecutionException` type. (See: executor.py L1-L145, L147-L220) +4. **Exports** - Queries expose named *exports* that identify the DAG + nodes clients may request. The integration layer can bind those + exports to callables so dashboards or notebooks can invoke them as + regular async functions. (See: util.py L64-L104, integration.py L38-L102) + +This flow supports both server-defined queries and open-ended +exploration. Production deployments typically offer curated, predefined +queries while development tooling exposes the full language for +experimentation. (See: README.md L11-L36) + +## Core Node Types + +Every node in the execution DAG has a `dispatch` type that determines +how the executor evaluates it. The query helper functions generate the +correct shape for each node type. (See: query.py L19-L123) The most common nodes are: + +- **`parameter`** - Declares a runtime argument. Parameters can be + required or optional, and the executor substitutes provided values or + defaults before downstream nodes run. (See: query.py L33-L42, executor.py L114-L144) +- **`variable`** - References the output of another node in the DAG. + These indirections are automatically inserted during flattening but + can also be used explicitly when wiring complex queries. (See: query.py L45-L52, util.py L13-L61) +- **`call`** - Invokes a published Python function on the server. + Functions are registered with `publish_function`, which ensures every + callable has a unique name. Called functions may be synchronous or + asynchronous; the executor awaits results as needed. (See: query.py L55-L67, executor.py L61-L112, integration.py L21-L47) +- **`keys`** - Produces the key descriptions required to fetch reducer + outputs from the key-value store. Keys nodes typically wrap the + outputs of roster or metadata queries so downstream `select` nodes + can retrieve the associated reducer documents. (See: query.py L114-L123, util.py L72-L102) +- **`select`** - Retrieves documents from the key-value store for the + provided keys. You can request all fields or limit to specific + projections via `SelectFields` enumerations. (See: query.py L70-L83) +- **`join`** - Merges two lists of dictionaries on matching keys using + dotted-path lookups. Left rows are preserved even without a matching + right-hand record, making it straightforward to enrich reducer + outputs with roster data. (See: query.py L86-L96, executor.py L147-L220) +- **`map`** - Applies a published function to each value in a list, + optionally in parallel, returning the transformed collection. This is + useful for server-side post-processing or feature extraction before a + result is exported. (See: query.py L99-L111) + +## Building Queries Efficiently + +Writing DAGs by hand is verbose, so the protocol provides shorthands +for common access patterns. For example, +`generate_base_dag_for_student_reducer` returns an execution DAG that +retrieves the latest reducer output for every student in a course, +including roster metadata and a preconfigured export entry. Dashboards +use this helper to quickly expose reducer results without writing the +full DAG each time. (See: util.py L63-L101) + +The `integration` module can also bind exports directly to a module so +code can call `await module.student_event_counter_export(course_id=...)` +instead of manually constructing requests. This keeps the protocol's +flexibility while offering ergonomic entry points for UI +components. (See: integration.py L49-L102) + +## WebSocket Endpoint + +Dashboards and other clients interact with the communication protocol +through a dedicated WebSocket endpoint exposed at +`/wsapi/communication_protocol`. The aiohttp application wires that path +to `websocket_dashboard_handler`, making the protocol available to +browser sessions and backend consumers alike. (See: learning_observer/routes.py L195-L213) + +When a client connects, the handler waits for a JSON payload describing +one or more queries. Each entry typically includes the flattened +`execution_dag`, a list of `target_exports` to stream, and optional +`kwargs` that provide runtime parameters. Whenever the client submits a +new payload, the server builds the requested DAG generators, executes +them, and schedules reruns based on the provided settings. Responses are +batched into arrays of `{op, path, value}` records so the client can +efficiently apply partial updates to its local state. (See: learning_observer/dashboard.py L331-L411) + +## Tooling and Debugging + +Two exploratory tools live alongside the protocol implementation: + +- `debugger.py` - Provides an interface for submitting ad-hoc queries + and inspecting intermediate results. +- `explorer.py` - Lists predefined queries already published on the + server so you can execute them interactively. + +Because the protocol is evolving, these tools occasionally require +updates when the underlying schema changes. Keeping the communication +protocol documented and covered by tests makes it easier to spot and +fix those regressions quickly. (See: README.md L45-L72) + +## Security Considerations + +Production deployments default to predefined queries so clients can +only request vetted datasets. Open-query mode should be restricted to +trusted environments—such as local notebooks or read replicas—because +it allows arbitrary function calls and joins that may expose sensitive +information or stress backing stores. (See: README.md L11-L36) + +Understanding these concepts makes it easier to extend the protocol, +design new reducers, and reason about the performance characteristics +of dashboards built on Learning Observer. diff --git a/docs/concepts/events.md b/docs/concepts/events.md new file mode 100644 index 000000000..d4b1d12d2 --- /dev/null +++ b/docs/concepts/events.md @@ -0,0 +1,162 @@ +# Event Format + +Our event format is inspired in part by IMS Caliper, xAPI/Tincan, and the edX +tracking log events. None of these standards are quite right for our +application, but several are close. They're pretty good standards! + +## Limitations of Industry Formats + +* **Verbosity.** Both Caliper and xAPI require a lot of cruft to be appended to + events. For example, we have random GUIDs, URLs, and other redundancy on each + event. Having a little bit of context (e.g. a header) or a little rationale + (e.g. IDs which point into a data store) is sometimes good, but too much is a + problem. With too much redundancy, events can get massive: + * Our speed in handling large data scales with data size. Megabytes can be + done instantly, gigabytes in minutes, and terabytes in hours. Cutting data + sizes makes working with data easier. + * Repeating oneself can lead to inconsistent data. Data formats where data + goes in one place (or where redundancy is intentional and engineered for + data correction) are more robust and less bug-prone. +* **Envelopes.** Caliper payloads are bundled in JSON envelopes. This is a + horrible format because: + * It results in a lot of additional parsing... + * ... of very large JSON objects. + * If there's an error or incompatibility anywhere, you can easily lose a + whole block of data. + * You can't process events in realtime, for example, for formative feedback. + +Text files with one JSON event per line are more robust and more scalable: + +* They can be processed as a stream, without loading the whole file. +* Individual corrupt events don't break the entire pipeline-you can skip bad + events. +* They can be streamed over a network. +* They can be preprocessed without decoding. For example, you can filter a file + for a particular type of event, student ID, or otherwise with a plain text + search. The primary goal of first-stage preprocessing is simply to quickly cut + down data size, so it doesn't need to reject 100% of irrelevant events. + +* **Details.** In many cases, the details of a format are inappropriate for a + given purpose. There are event types which are in neither Tincan/xAPI nor + Caliper, and don't fit neatly into their frameworks. For example: + * Formats specify timestamps with great precision, while coarse events (such + as a student graduating) don't maintain that precision. + * In one of our clients, events are generated without a user identifier, which + is then added by the server once the user is authenticated. For these + events, validation fails. + * Related to the above, fields are sometimes repeated (e.g. client-side + timestamp, server-side timestamp, and further timestamps as the event is + processed by downstream systems). Much of this fits into security; + downstream systems should not trust data from upstream systems. For example, + a student shouldn't be able to fake submitting a homework assignment earlier + than they did, and a school should not be able to backdate a state exam + response. + +There are similar minor mismatches for group events, very frequent events (such +as typing), and other types of events not fully anticipated when the standards +were created. + +I'd like to emphasize that, in contrast to most industry formats, these are +quite good. They're not fundamentally broken. + +## How We'd Like to Leverage Industry Formats + +Fortunately, we don't need 100% compatibility for pretty good interoperability. +Our experience is that event formats are almost never interchangeable between +systems; even with standardized formats, the meaning changes based on the +pedagogical design. This level of compatibility is enough to give interoperability +without being constrained by details of these formats. + +Our goal is to be compatible where convenient. Pieces we'd like to borrow: + +* Critically, the universe has converged on events as JSON lines. This already + allows for common data pipelines. +* We can borrow vocabulary-verbs, nouns, and similar. +* We can borrow field formats, where sensible. + +With this level of standardization, adapting to data differences is typically +already less work than adapting to differences in underlying pedagogy. + +## Where We Are + +We have not yet done more careful engineering of our event format. Aside from a +JSON-event-per-line, the above level of compatibility is mostly aspirational. + +## Incoming Event Flow + +Incoming events reach the Learning Observer through `/wsapi/in/`, which +establishes a long-lived websocket for each client session. The websocket stream +is processed through a series of generators that progressively enrich and +validate each message before it reaches reducers. + +1. **Initial decode and logging.** Every websocket frame is decoded by + `event_decoder_and_logger`, which writes the raw payloads to per-session log + files. When the Merkle feature flag is enabled, the same routine also commits + events to the Merkle store using the configured backend. This stage ensures + that we always have an immutable audit log of the stream. +2. **Lock fields and metadata.** Clients typically send a `lock_fields` event + first to declare metadata such as the `source`, `activity`, or other + immutable context. These fields are cached and injected into subsequent + events so downstream reducers receive consistent metadata. Server-side + metadata like IP and user agent is added separately via `compile_server_data` + and cannot be spoofed by the client. +3. **Authentication.** The pipeline buffers events until + `learning_observer.auth.events.authenticate` confirms the session. Successful + authentication attaches the derived `auth` context-containing identifiers + like the `user_id`-to each event before it continues. The websocket + acknowledges authentication so the client can react if credentials are + missing or invalid. +4. **Protection stages.** Events flow through guardrails that: + * stop processing on an explicit `terminate` event and close the associated + log files, + * block sources that appear on the runtime blacklist, notifying the client + when a block occurs, and + * handle optional blob storage interactions (`save_blob` and `fetch_blob`) + that reducers can request. +5. **Reducer preparation.** After authentication and metadata are in place we + call `handle_incoming_client_event`. This builds a pipeline from the declared + client `source`. Each source maps to a set of stream analytics modules that + expose coroutine reducers. Reducers are partially applied with metadata + (including the authenticated user) so they can maintain per-student state. +6. **Reducer execution.** Every canonicalized event passes through the prepared + reducers. Events are logged a second time-now with server metadata and + authentication context-and reducers update their internal state. If the + reducer definitions change during a session (e.g. due to a hot reload in + development) the pipeline is rebuilt on the next event. + +This staged processing allows us to maintain separate concerns for logging, +authentication, safety checks, and analytics while keeping the event format +itself lightweight. Clients only need to agree on the JSON structure of events, +while the server handles durability and routing responsibilities on their +behalf. + +## Configuring domain-based event blacklisting + +Incoming events can be blacklisted through PMSS rules so that specific domains +either continue streaming, are told to retry later, or drop events entirely. +The `blacklist_event_action` setting controls the action and defaults to +`TRANSMIT`. Define rules under the `incoming_events` namespace and include a +`domain` attribute to scope the behavior per organization. When the action is +`MAINTAIN`, the `blacklist_time_limit` setting controls whether the client +should wait a short time or stop sending forever. + +```pmss +incoming_events { + blacklist_event_action: TRANSMIT; +} + +incoming_events[domain="example.org"] { + blacklist_event_action: DROP; +} + +incoming_events[domain="pilot.example.edu"] { + blacklist_event_action: MAINTAIN; + blacklist_time_limit: DAYS; +} +``` + +When a client connects, the server extracts a candidate domain from the event +payload and uses it to resolve the `blacklist_event_action` setting. If +a rule returns `DROP`, the client is instructed to stop sending events. +`MAINTAIN` asks the client to retain events and retry after a delay (as defined +by `blacklist_time_limit`), while `TRANSMIT` streams events normally. diff --git a/docs/history.md b/docs/concepts/history.md similarity index 100% rename from docs/history.md rename to docs/concepts/history.md diff --git a/docs/concepts/key_value_store.md b/docs/concepts/key_value_store.md new file mode 100644 index 000000000..5d994724f --- /dev/null +++ b/docs/concepts/key_value_store.md @@ -0,0 +1,107 @@ +# Key-value store + +Learning Observer reducers and dashboards communicate through a key-value store (KVS). +Reducers write internal state and dashboard-facing summaries to the store, while +queries and presentation layers read those JSON blobs back. The +[`learning_observer.kvs` module](../../learning_observer/learning_observer/kvs.py) +wraps the different storage backends behind a common async API. + +## Router and lifecycle + +The `KVSRouter` constructed during startup owns every configured backend. When +`learning_observer.prestartup` runs it reads the `kvs` section from system +settings, instantiates the requested implementations, and exposes them through +the module-level `KVS` callable. Most code imports `learning_observer.kvs.KVS` +and invokes it to obtain the default backend: + +```python +from learning_observer import kvs + +store = kvs.KVS() # returns the default backend configured in settings +value = await store[key] +``` + +Reducers obtain the store implicitly through decorators such as +`kvs_pipeline` and `student_event_reducer`. Those helpers capture the module +context, derive the reducer keys, and persist the reducer's internal and +external state back to the configured KVS. + +The router also exposes named backends as attributes. If a module needs to +store data in a non-default backend it can call `kvs.KVS.()` where +`` matches the identifier from configuration. + +## Configuring backends + +The `kvs` block in `creds.yaml` (or an equivalent PMSS overlay) declares each +backend. Settings accept either a mapping or an array of key/value tuples. +Every entry must provide a `type` that matches one of the built-in +implementations: + +```yaml +kvs: + default: + type: filesystem + path: .lo_kvs + redis_cache: + type: redis_ephemeral + expiry: 30 +``` + +During startup the router validates the configuration and raises a +`StartupCheck` error if a backend is missing required parameters or references +an unknown type. Once the process finishes booting, the resulting callable is +available to the rest of the system as `learning_observer.kvs.KVS`. + +### Supported types + +| Type | Class | Persistence behavior | Required settings | +|------------------|-----------------------------|------------------------------------------------------------------------|-----------------------------------------------| +| `stub` | `InMemoryKVS` | Data lives only in process memory and disappears on restart. | None | +| `redis_ephemeral`| `EphemeralRedisKVS` | Uses Redis with a per-key TTL for temporary caches. | `expiry` (seconds) | +| `redis` | `PersistentRedisKVS` | Stores data in Redis without an expiry; persistence depends on Redis. | Redis connection parameters in system config. | +| `filesystem` | `FilesystemKVS` | Serializes each key to JSON on disk for simple local persistence. | `path`; optional `subdirs` boolean | + +All backends share the async API: `await store[key]`, `await store.set(key, value)`, +`await store.keys()`, and `await store.dump()` for debugging. + +### Filesystem layout + +The filesystem implementation writes JSON documents under the configured path. +If `subdirs` is true it mirrors slash-separated key prefixes into nested +folders while prefixing directory names with underscores to avoid collisions. +This backend is convenient for workshops or debugging because state survives +restarts as long as the directory remains intact, but it is not designed for +large-scale deployments. + +### Redis variants + +Both Redis implementations rely on the shared connection utilities in +`learning_observer.redis_connection`. The ephemeral variant requires an +`expiry` value so it can set a TTL when calling `SET`, making it suitable for +integration tests or scratch environments. The persistent variant omits the TTL +so keys remain until explicitly deleted or until the Redis server evicts them. +Ensure the Redis instance has persistence enabled (`appendonly` or RDB +snapshots) if the deployment expects reducer state to survive reboots. + +### In-memory stub + +The stub backend keeps a Python dictionary in memory. It is useful for unit +tests or prototype scripts but should not be used when the process restarts or +scales across workers. The module exposes a `clear()` helper to wipe the store +between tests. + +## Working with reducer state + +Reducer keys follow the pattern `,,` where the scope +captures whether the state is internal or external, the module identifies the +producer, and the selector encodes the entity (for example, a student ID). When +reducers process new events they read the previous state from the KVS, compute +an updated value, and call `set()` to write it back. Dashboards and protocol +adapters then fetch the external state by constructing the same key or by using +higher-level query helpers that wrap the KVS API. + +If a dashboard appears empty after restarting the server, confirm which backend +is active. In-memory and ephemeral Redis stores start empty on boot, so the +system needs a fresh stream of events to repopulate reducer state. Filesystem +and persistent Redis backends retain data unless their underlying storage was +cleared. diff --git a/docs/privacy.md b/docs/concepts/privacy.md similarity index 100% rename from docs/privacy.md rename to docs/concepts/privacy.md diff --git a/docs/reducers.md b/docs/concepts/reducers.md similarity index 90% rename from docs/reducers.md rename to docs/concepts/reducers.md index 36cb2f588..2139974dd 100644 --- a/docs/reducers.md +++ b/docs/concepts/reducers.md @@ -82,4 +82,13 @@ REDUCERS = [ ] ``` +The `context` value must match the `source` string attached to incoming +events. When an event arrives on the websocket it advertises a `source` +identifier (for example `org.mitros.writing_analytics`). The stream +analytics loader uses that identifier to look up which reducers to +execute. If the reducer `context` does not match the event `source`, the +event will never reach your reducer. Double-check that any new event +emitters (such as browser extensions or test scripts) populate the same +`source` string that your module registers here. + NOTE: the `default` defined in the `module.py` file is for handling defaults when queries are made, while the `null_state` defined in the reducer decorator is used for initializing state of a new incoming event stream (e.g. a new student started sending events). diff --git a/docs/scaling.md b/docs/concepts/scaling.md similarity index 100% rename from docs/scaling.md rename to docs/concepts/scaling.md diff --git a/docs/concepts/student_identity_mapping.md b/docs/concepts/student_identity_mapping.md new file mode 100644 index 000000000..73d4fc123 --- /dev/null +++ b/docs/concepts/student_identity_mapping.md @@ -0,0 +1,37 @@ +# Student Identity Mapping + +This document describes the current approach for reconciling a student's identity across the Google Workspace context used by Writing Observer and external platforms that only surface an email address (for example when the application is launched as an LTI tool). + +## Why the mapping exists + +When Writing Observer runs inside Google Workspace we naturally have access to the Google user identifier that shows up in event payloads. However, when the product is embedded as an LTI application we receive the learner's email address but do not receive the Google identifier. Many downstream reducers and dashboards expect to look students up by the Google identifier that is emitted by Google Docs events. Without an explicit bridge between those two identifiers we would be unable to join activity data with roster or profile information for LTI launches. + +## Data sources involved + +Two pieces of infrastructure cooperate to keep an email-to-Google-ID lookup table available: + +1. **`student_profile` reducer** – The `student_profile` KVS pipeline in `writing_analysis.py` stores the latest email address and Google identifier (`safe_user_id`) observed for each student. The reducer only updates its state when either value changes. The resulting records live in the reducer's internal key-value namespace and therefore need to be copied to a place where other services can access them. 【F:modules/writing_observer/writing_observer/writing_analysis.py†L233-L253】 +2. **`map_emails_to_ids_in_kvs.py` script** – This maintenance script scans the reducer's internal keys, extracts any records that contain both `email` and `google_id`, and writes a dedicated `email-studentID-mapping:{email}` entry to the key-value store. The explicit mapping gives any service that only knows the email address a way to recover the Google identifier. 【F:scripts/map_emails_to_ids_in_kvs.py†L1-L29】 + +This flow is intentionally simple: the reducer captures whatever the client reports, and the script copies the data to keys that other components already know how to query. + +## Operating the script + +The email mapping script is normally run in the same environment as other KVS maintenance tasks. It requires access to the same credentials file that the main server use. Thus, we need to run the script from the `learning_observer` directory. A manual run looks like this: + +```bash +cd learning_observer/ +python ../scripts/map_emails_to_ids_in_kvs.py +``` + +The script performs a full scan every time it runs, so it is safe to execute multiple times or to schedule as a recurring job. + +## Limitations and future direction + +The current reducer-plus-script approach fills an immediate gap but remains a stopgap solution: + +* **Tight coupling to Google identity** – The reducer only records the Google identifier surfaced by Google Docs. If we ingest events from another platform, there is no canonical place to persist its identifiers. +* **No user object abstraction** – Each consumer must know which KVS keys to query. A shared user object (or identity service) would allow the system to attach multiple external identifiers, roles, and profile attributes to a learner and to expose them through a stable API. +* **Operational overhead** – Because the mapping lives in the KVS, we must remember to run the maintenance script anywhere we expect the lookup table to be fresh. + +In the future we plan to introduce a formal user object that encapsulates identifiers, roles, and cross-system metadata. That abstraction would make this lookup process unnecessary by giving every component a single source of truth for student identity. Until then, this document serves as a reference for the current mapping workflow. diff --git a/docs/system_design.md b/docs/concepts/system_design.md similarity index 96% rename from docs/system_design.md rename to docs/concepts/system_design.md index 6dc2a9ab5..e4a15ae4e 100644 --- a/docs/system_design.md +++ b/docs/concepts/system_design.md @@ -20,7 +20,7 @@ Our goal is to build a system which will: In other words: -![](_images/block.png) +![](../_images/block.png) Internally, the system takes a stream of events from each learner, and routes it to one or more analytics modules. Each of these modules @@ -37,7 +37,7 @@ through instructors for such an aggregation, and only aggregate where data has changed, so that with large numbers of instructors, the system merely updates dashboards less quickly: -![](_images/lo_block.png) +![](../_images/lo_block.png) Although at present, reduce operations are per-student, and aggregations per-class, in the future, we envision: @@ -51,6 +51,6 @@ aggregations per-class, in the future, we envision: Data will be stored in a git-like Merkle tree format: -![](_images/mmnd.png) +![](../_images/mmnd.png) We'll document this in more detail later. \ No newline at end of file diff --git a/docs/concepts/system_settings.md b/docs/concepts/system_settings.md new file mode 100644 index 000000000..f1749dc40 --- /dev/null +++ b/docs/concepts/system_settings.md @@ -0,0 +1,149 @@ +# System settings + +Learning Observer depends on a single source of truth for everything from +server ports to which pieces of modules are enabled. We rely on the +[PMSS](https://github.com/ETS-Next-Gen/pmss) registry because it gives us a +predictable, type-checked way to describe those concerns once and reuse them +across the whole stack. This article explains why the settings layer exists, +how `creds.yaml` fits into the picture, and why we support cascading +``*.pmss`` files that behave a bit like CSS for configuration. + +To view all settings and what they do, checkout the [System Settings Reference](../reference/system_settings.md). + +## Why centralize configuration? + +* **Shared vocabulary.** Modules, reducers, and integrations all speak the same + language when they ask for `hostname`, `redis_connection.port`, or + `modules.writing_observer.use_nlp`. PMSS enforces the field definitions so we + can freely move code between services without wondering what the knobs are + called. +* **Type safety and validation.** Every field is registered with a type and + optional parser. PMSS refuses to start if a value is missing or malformed, + surfacing errors during boot instead of in the middle of a request. +* **Operational portability.** Teams deploy Learning Observer to wildly + different environments. A single registry allows a site to describe network + boundaries, third-party credentials, or feature flags in one place and keep + those choices under version control. + +## Defining which settings files to use + +To load alternate or additional PMSS rulesets, start the server with +`--pmss-rulesets` and pass one or more file paths or a directory. The startup +logic expands directories into sorted file lists, then loads each file as a +`YAMLFileRuleset` when it ends in `.yaml`/`.yml` or a `PMSSFileRuleset` when it +ends in `.pmss`. Any other file suffix is skipped with a warning so you can +keep README files or notes alongside the rulesets without breaking startup. + +## The role of `creds.yaml` + +Most installations load configuration from `creds.yaml`. When the process +starts, `learning_observer.settings` initializes PMSS with a +`YAMLFileRuleset`, parses that file, and registers the run mode and other core +fields. The YAML mirrors the namespace hierarchy, so options live exactly where +operators expect to see them: + +```yaml +server: + port: 5000 +modules: + writing_observer: + use_nlp: true +``` + +`creds.yaml` gives us a stable default: it travels with the deployment, can be +checked into private infrastructure repositories, and is easy to audit during +reviews. Even when we introduce additional sources, the YAML baseline remains +the anchor that documents the "intent" of the environment. + +## Cascading ``*.pmss`` overlays + +While one file covers global defaults, we often need tweaks that depend on +**who** is asking for data or **where** a request originates. PMSS supports +multiple rule sets, so we extend the base YAML with optional ``*.pmss`` +overlays. Each overlay is a small PMSS file whose contents look just like the +YAML fragment they augment, but they add selectors that encode *specificity*. + +Think of these selectors like CSS. We start with the low-specificity default +rule and then layer on increasingly precise matches: + +```pmss +roster_data { + source: all; +} + +roster_data[domain="learning-observer.org"] { + source: google; +} +``` + +When `learning_observer/learning_observer/rosters.py` asks for `roster_data` +it supplies attributes such as the caller's email domain or provider. PMSS +walks the rule set, finds the most specific block that matches the request, and +returns that value. In the example above a teacher from +`learning-observer.org` would receive the `google` roster source, while any +other user would keep the global `all` default. Additional selectors can layer +on top for providers, schools, or classrooms with each more specific rule +overriding the broader ones. + +At runtime we still assemble a deterministic cascade: + +1. Load the global `creds.yaml` defaults. +2. Apply any environment overlays (for example, a `district.pmss` file that + swaps OAuth credentials for that customer). +3. Resolve request-scoped overlays that match the supplied selectors, letting + the most specific rule win. + +PMSS tracks the provenance of each value so developers can inspect which file +supplied the final answer when troubleshooting. Because overlays reuse the +same registered fields, we retain all of the type checking that protects the +base configuration. + +## How code consumes the cascade + +Once the cascade is assembled, code does not care whether a value came from the +YAML baseline or an overlay. Components call +`learning_observer.settings.pmss_settings.()` (optionally via +`module_setting()` helpers) and PMSS resolves the field using the active rule +stack. That means a request handled for an instructor can pick up +instructor-specific defaults while a system job, using the same accessor, still +observes the site-wide configuration. + +### What context we pass today + +Every call into `pmss_settings` names the setting through the `types` list. We +build that list from the canonical namespace of the setting—`['server']` for the +public port, `['redis_connection']` for Redis, `['modules', module_name]` for +module flags, and so on. Because the list mirrors the hierarchy defined in +`creds.yaml`, we get deterministic lookups even when overlays layer additional +rules on top. + +Selectors (the `attributes` argument) are rarer. Only features that genuinely +vary per request provide them today. For example, roster resolution passes the +requesting user's email domain and the LTI provider so the `roster_data` +configuration can pick the correct backend, and the dashboard logging toggle +adds the user's domain to honour tenant-specific overrides. Most other settings +still rely solely on the namespace lookup. + +### Where we want to go + +We want every lookup that depends on request context to assemble the same +attribute payload in the same place. Rather than sprinkling ad-hoc conditionals +around the codebase, helpers should gather the domain, provider, role, or other +selectors once and pass them through every relevant PMSS call. This keeps the +setting definitions declarative, makes it obvious which selectors operators can +target in overlays, and avoids drift between different parts of the system. + +## Extending the system settings surface + +Adding a new capability follows a consistent pattern: + +1. Register the field with PMSS, giving it a name, type, description, and + default if appropriate. +2. Update `creds.yaml` (or the reference documentation) to teach operators what + the new setting does. +3. Optionally create overlay files where the value should vary by tenant, user, + or integration partner. + +By keeping configuration declarative and cascading, we get the flexibility to +serve many partners without branching the codebase, all while preserving the +predictability administrators expect from a single system settings registry. diff --git a/docs/technologies.md b/docs/concepts/technologies.md similarity index 100% rename from docs/technologies.md rename to docs/concepts/technologies.md diff --git a/docs/config.md b/docs/config.md deleted file mode 100644 index 84f9ea673..000000000 --- a/docs/config.md +++ /dev/null @@ -1,279 +0,0 @@ -# Config (creds.yaml) - -The Learning Observer project can be configured on a per-system basis using a configuration file. This configuration file is essential for setting various options such as the environment mode (development or production), authentication, and module-specific settings. - -## Settings - -The settings are loaded in via the `learning_observer/learning_observer/settings.py` file. You see them referred to in the code with - -```python -import learning_observer.settings -item = learning_observer.settings.settings['kvs'] -``` - -### Hostname and Protocol - -The `hostname` and `protocol` sections define the address and protocol used for accessing the Learning Observer application. - -- `hostname`: The address of the application server. -- `protocol`: The protocol used for communication (http or https). - -Example: - -```yaml -hostname: localhost:8888 -protocol: http -``` - -### XMPP - -The `xmpp` section defines the credentials and configurations for XMPP connections, including sinks, sources, and stream components. - -- `sink`: Configuration for XMPP sinks that receive messages. - - `jid`: The Jabber ID for the sink. - - `password`: The password for the sink. -- `source`: Configuration for XMPP sources that send messages. - - `jid`: The Jabber ID for the source. - - `password`: The password for the source. -- `stream`: Configuration for XMPP streams used for debugging. - - `jid`: The Jabber ID for the stream. - - `password`: The password for the stream. - -Example: - -```yaml -xmpp: - sink: - jid: sink@localhost - password: {xmpp-sink-password} - source: - jid: source@localhost - password: {xmpp-source-password} - stream: - jid: stream@localhost - password: {xmpp-stream-password} -``` - -### Authentication - -The `auth` section is responsible for configuring various authentication methods. - -- `google_oauth`: Configuration for Google OAuth authentication. - - `web`: A sub-configuration containing Google OAuth settings. - - `client_id`: The Google OAuth client ID. - - `project_id`: The Google OAuth project ID. - - `auth_uri`: The Google OAuth authorization URI. - - `token_uri`: The Google OAuth token URI. - - `auth_provider_x509_cert_url`: The Google OAuth provider x509 certificate URL. - - `client_secret`: The Google OAuth client secret. - - `javascript_origins`: The list of allowed JavaScript origins. -- `password_file`: The path to the password file used for authentication, created using the `lo_passwd.py` script. -- `http_basic_auth`: Configuration for HTTP basic authentication. - - `mode`: The mode of HTTP basic authentication, either 'nginx' or 'password-file'. - - `password_file`: The path to the password file used for authentication, or 'null' if authentication is done by nginx. - -Example: - -```yaml -auth: - google_oauth: - web: - client_id: {google-oauth-client-id} - project_id: {google-oauth-project-id} - auth_uri: https://accounts.google.com/o/oauth2/auth - token_uri: https://oauth2.googleapis.com/token - auth_provider_x509_cert_url: https://www.googleapis.com/oauth2/v1/certs - client_secret: {google-client-secret} - javascript_origins: ["{url}"] - password_file: passwd.lo - http_basic_auth: - mode: remove-this - password_file: passwd.lo -``` - -### PubSub - -The `pubsub` section configures the pubsub system type used for the application. - -- `type`: The type of pubsub system, either 'stub' for in-memory debugging or 'redis' for small-scale production. - -Example: - -```yaml -pubsub: - type: stub -``` - -### Redis Connection - -This determines how we should be connecting to Redis. If these are not -set, the connection will default to using `localhost:6389` without a -password. - -```yaml -redis_connection: - redis_host: localhost - redis_port: 6389 - redis_password: yoursupersecurepassword -``` - -### KVS - -The `kvs` section configures the key-value store used in the application. - -- `default`: The default configuration for the key-value store. - - `type`: The type of key-value store, such as 'stub', 'redis', or 'redis_ephemeral'. - - `expiry`: The expiry time for objects in the key-value store (in seconds). - -Example: - -```yaml -kvs: - default: - type: stub - expiry: 6000 -``` - -### Roster Data - -The `roster_data` section configures the source of roster data. - -- `source`: The source of roster data, such as 'filesystem', 'google_api', 'all', or 'test'. - -Example: - -```yaml -roster_data: - source: filesystem -``` - -### AIO - -The `aio` section configures user session settings. - -- `session_secret`: The unique secret key for your deployment. -- `session_max_age`: The maximum age of a session, in seconds. - -Example: - -```yaml -aio: - session_secret: {unique-aio-session-key} - session_max_age: 3600 -``` - -### Config - -The `config` section configures the run mode and debug settings. - -- `run_mode`: The run mode, either 'dev' or 'deploy'. -- `debug`: A list of debug options, such as "tracemalloc". - -Example: - -```yaml -config: - run_mode: dev - debug: [] -``` - -### Logging - -The `logging` section configures the logging settings. - -- `debug_log_level`: The log level, either 'NONE', 'SIMPLE', or 'EXTENDED'. -- `debug_log_destinations`: A list of log destinations, such as 'CONSOLE' and 'FILE'. - -Example: - -```yaml -logging: - debug_log_level: SIMPLE - debug_log_destinations: - - CONSOLE - - FILE -``` - -### Theme - -The `theme` section configures the appearance and messages of the application. - -- `server_name`: The name of the server. -- `front_page_pitch`: The message displayed on the front page. -- `logo_big`: The URL of the logo. - -Example: - -```yaml -theme: - server_name: Learning Observer - front_page_pitch: Learning Observer is an experimental dashboard. If you'd like to be part of the experiment, please contact us. If you're already part of the experiment, log in! - logo_big: /static/media/logo-clean.jpg -``` - -### Event Auth - -The `event_auth` section configures authentication settings for events. - -- `local_storage`: Configuration for local storage authentication. - - `userfile`: The file containing user information. - - `allow_guest`: A boolean indicating whether guest access is allowed. -- `chromebook`: (optional) Configuration for Chromebook authentication. - - `allow_guest`: A boolean indicating whether guest access is allowed on Chromebooks. - -Example: - -```yaml -event_auth: - local_storage: - userfile: students.yaml - allow_guest: true -``` - -### Feature Flags - -The `feature_flags` section allows you to enable or disable specific features in development. - A dictionary with the feature names as keys and boolean values to indicate whether the feature is enabled or disabled. - -Example: - -```yaml -feature_flags: {} -``` - -### Server - -The `server` section configures the server settings. - -- `port`: The port number on which the server will listen. - -Example: - -```yaml -server: - port: 8888 -``` - -### Modules - -The `modules` section configures the settings for each module installed on the system. Different systems may define different items depending on which modules they wish to have installed on their system. An error will be raised if an expected setting is missing from a given module. Here is an example for the `writing_observer` module. - -- `writing_observer`: Settings specific to the Writing Observer module. - - `use_nlp`: A boolean indicating whether to use natural language processing or a stub function. (default: `false`) - - `use_google_documents`: A boolean indicating whether to use Google Documents. (default: `false`) - - `languagetool_port`: The port the LanguageTool server is running on (default: `8081`) - - `languagetool_host`: The host the LanguageTool server is running on (default: `localhost`) - - `use_languagetool`: A boolean indicating whether to use LanguageTool or a stub function. (default: `false`) - -Example: - -```yaml -modules: - writing_observer: - use_nlp: true - use_google_documents: false - languagetool_port: 8081 - use_languagetool: true -``` - -Note: This is just an example of how to configure the settings for a specific module. Each module may have its own unique settings, and you should consult the module's documentation for information on which settings are required and how they should be configured. diff --git a/docs/documentation.md b/docs/documentation.md deleted file mode 100644 index fd3188f15..000000000 --- a/docs/documentation.md +++ /dev/null @@ -1,43 +0,0 @@ -# Documentation - -## Build process - -Using [Sphinx](https://www.sphinx-doc.org/en/master/) we automatically build the documentation using markdown files and docstrings from the code. - -On pushes or pull requests to the main branch, the documentation is auto-built and available on [Readthedocs](https://readthedocs.org/). - -## Including documentation - -Since documentation is built from the code, you need to follow specific steps to include new documentation elements. - -### Markdown file - -To include a new markdown file in the documentation, follow these steps: - -1. Place your markdown file in the `docs/` directory. Any images should be placed in `docs/_images`. -2. Add a reference to your markdown file in `autodocs/other_docs.rst`. The reference will look like this: - -```rst -.. include:: ../docs/your_markdown_file.md - :parser: myst_parser.sphinx_ -``` - -Replace `your_markdown_file.md` with the name of your markdown file. - -### Module - -To include a newly added module in the documentation, follow these steps: - -1. Add a reference to the module in `autodocs/modules.rst`. The reference will look like this: - -```rst -.. autosummary:: - :recursive: - :toctree: generated/your_module_name - - your_module_name -``` - -Replace `your_module_name` with the name of your module. - -By following these steps, you can ensure that your new markdown files and modules are properly integrated into the documentation, which will then be automatically built and made available on Readthedocs. diff --git a/docs/events.md b/docs/events.md deleted file mode 100644 index 8eb8bfec7..000000000 --- a/docs/events.md +++ /dev/null @@ -1,106 +0,0 @@ -Event Format Notes -================== - -Our event format is inspired in part by: - -* IMS Caliper -* xAPI/Tincan -* edX tracking log events - -None of these are _quite_ right for our application, but several are -close. They're pretty good standards! - -Limitations of industry formats -------------------------------- - -*Verbosity* Both Caliper and xAPI require a lot of cruft to be -appended to the events. For example, we have random ID GUIDs, URLs, -and all sorts of other redundancy on each event. Having things have -either *a little* bit of context (e.g. a header) or *a little* -rationale (e.g. IDs which point into a data store) is sometimes good, -but too much is a problem. With too much redundancy, events can get -massive: - -* Our speed in handling large data scales with data size. Megabytes - can be done instantly, gigabytes in minutes, and terabytes in - hours. Cutting data sizes makes working with data easier. -* Repeating oneself can lead to inconsistent data. Data formats where - data goes one place (or where redundancy is *intentional* and - *engineered* for data correction) is more robust and less bug-prone. - -*Envelopes* Caliper payloads are bundled in JSON envelopes. This is -a horrible format since: - -* It results in a lot of additional parsing... -* ... of very large JSON objects -* If there's an error or incompatibility anywhere, you can easily lose - a whole block of data -* You can't process events in realtime, for example, for formative - feedback - -Text files with one JSON event per line are more robust and more -scalable: - -* They can be processed as a stream, without loading the whole file -* Individual corrupt events don't break the entire pipeline -- you can - skip bad events -* They can be streamed over a network -* They can be preprocessed without decoding. For example, one can - filter a file for a particular type of event, student ID, or - otherwise with a plain text search. The primary goal of first-stage - preprocessing is simply to quickly cut down data size, so it doesn't - need to be reject 100% of irrelevant events. - -*Details* In many cases, the details of a format are inappropriate for -a given purpose. There are event types which are in neither -Tincan/xAPI nor Caliper, and don't fit neatly into their -frameworks. For example: - -* Formats specify timestamps with great precision, while coarse events - (such as a student graduating) don't maintain that precision. -* In one of our clients, events are generated without a user - identifier, which is then added by the server once the user is - authenticated. For these events, validation fails. -* Related to the above, fields are sometimes repeated (e.g. client-side - timestamp, server-side timestamp, and further timestamps as the event - is processed by downstream systems). Much of this fits into security; - downstream systems _should not_ trust data from upstream systems. For - example, a student shouldn't be able to fake submitting a homework - assignment earlier than they did, and a school should not be able to - backdate a state exam response. - -There are similar minor mismatches to e.g. group events, very frequent -events (such as typing), and other types of events not fully -anticipated when the standards were created. - -I'd like to emphasize that in contrast to most industry formats, these -are quite good. They're not fundamentally broken. - -How we'd like to leverage industry formats ------------------------------------------- - -Fortunately, we don't need 100% compatibility for pretty good -interoperability. Our experience is that event formats are almost -never interchangeable between systems; even with standardized formats, -the meaning changes based on the pedagogical design. This level of -compatibility is enough to give pretty interoperability, without being -constrained by details of these formats. - -Our goal is to be compatible where convenient. Pieces we'd like to -borrow: - -* Critically, the universe has converged on events as JSON lines. This - already allows for common data pipelines. -* We can borrow vocabulary -- verbs, nouns, and similar. -* We can borrow field formats, where sensible - -With this level of standardization, adapting to data differences is -typically already less work than adapting to differences in underlying -pedagogy. - -Where we are ------------- - -We have not yet done more careful engineering of our event -format. Aside from a JSON-event-per-line, the above level of -compatibility is mostly aspirational. \ No newline at end of file diff --git a/docs/extension.md b/docs/extension.md deleted file mode 100644 index ea085c1ae..000000000 --- a/docs/extension.md +++ /dev/null @@ -1,82 +0,0 @@ -# Writing Observer Extension - -This is an extension which collects data from the client. - -## Google Churn and Breakage - -Google regularly changes how they do things, breaking extensions like -this one. We had major changes for the transition from -[Manifest V2 to Manifest V3](https://developer.chrome.com/docs/extensions/mv3/mv2-sunset/). -Google was trying to cripple ad blockers, which made extensions like -these much harder to write and maintain. This change, as is very -Googly, was mandated by Google before Google properly documented Manifest V3. - -2. Google changed [rendering on the -front-end](https://workspaceupdates.googleblog.com/2021/05/Google-Docs-Canvas-Based-Rendering-Update.html) -such that our code to grab text is broken. On the whole, this is less -harmful, since we never relied on this code path. We grabbed visible -on-screen text to have ground truth data for debugging how we -reconstruct documents. We can make due without that, but it'd be nice -to fix at some point. In the design of the system, we did not count on -this text to be stable (it's used for debugging). We primarily rely on -document change events and the Google Docs API. - -## System Design - -* `writing_common.js` has common utility functions -* `writing.js` sits on each page, and listens for keystrokes. It also - collects other data, such as document title, or commenting activity. - Only the keystroke logging is well-tested. This is sent onto - `background.js` -* `background.js` used to be once per browser, and maintain a - websocket connection to the server. It also listened for Google AJAX - events which contain document edits. This was changed with Manifest - V3 and still needs to be correctly documented. - -The document edits are short snippets, which aggregate a small number -of keystrokes (e.g. a couple hundred milliseconds or typically 1-2 -keystrokes). These are our primary source of data. The keystroke -collection on each page is more precise (we have timestamps for each -keystroke), and helpful for some typing speed estimations, but -currently lacks a lot of context we would need to e.g. reconstruct -documents. - -Each file has more in-depth documentation. - -## Setup information - -The extension is built as a node project. This structure helps us allow for testing and for the use of external node packages. - -### Dependencies - -For building the extension, we rely on a handful of build tools, like webpack to bundle the code together. - -The extension has a dependency on the LOEvent package, located at `/modules/lo_event`. The LOEvent package handles passing messages from Learning Observer data sources and the Learning Observer server. - -The LOEvent package has a handful of downstream dependencies that are used when it does not have access to a browser environment. These are used to mirror browser behavior in testing environments. - -When building the extension, we found that these were not always ignored when bundling the extension together. To ignore the dependencies on building the extension, we had to add them to the `externals` portion of the `webpack.config.js` on the extension itself. - -### Installation - -To get started, run the following: - -```bash -cd extention/writing-process -npm install -``` - -Since the LOEvent package is not published, you'll need to install it locally via the `npm link` command. If there are any issues with this, `npm pack`+`npm install` is more robust, but more cumbersome since it needs to be rerun whenever `lo_event` changes. See the LOEvent installation for more information about this process. - -### Bundling and Building - -After all the installation finishes, you can bundle and build the extension. Running the following command will first bundle the code and then build the extension. - -```bash -npm build -``` - -Two items will be produced. - -1. `dist/`: a directory where all the built files are copied to -2. `release.zip`: a zip of the extension diff --git a/docs/how-to/communication_protocol.md b/docs/how-to/communication_protocol.md new file mode 100644 index 000000000..a0725329a --- /dev/null +++ b/docs/how-to/communication_protocol.md @@ -0,0 +1,286 @@ +# How to Build and Run Communication Protocol Queries + +This guide explains the end-to-end workflow for turning a reporting idea into a runnable query on the Learning Observer communication protocol. Follow the steps in order—both humans and language models can use this as a checklist when creating or automating queries. + +## 1. Frame the Data Task + +1. Write a one-sentence description of the insight or dataset you need (e.g., *“Return the latest writing sample for each student in a course”*). +2. Identify the reducers, helper functions, or key-value store documents that expose the data. Concept docs provide summaries of the executor lifecycle, node types, and utilities for transforming reducer outputs. 【F:docs/concepts/communication_protocol.md†L1-L100】 +3. Check whether an existing helper (e.g., `generate_base_dag_for_student_reducer`) already provides most of the DAG structure. Reusing helpers keeps queries consistent and concise. 【F:docs/concepts/communication_protocol.md†L62-L87】 + +## 2. Confirm Your Goal and Required Data + +1. Identify the data source(s): + + * **Reducers** - Aggregated documents stored in the key-value store. + * **Helper functions** - Python callables published with `publish_function`. + * **Roster/metadata** - Collections that need to be joined with reducer data. +2. Decide which fields must appear in the output. Note whether you need the entire document or only specific fields. +3. List all runtime values (course ID, time range, student list, etc.). These become `parameter` nodes later. + +Document these choices (in comments or metadata) so you can refer to them in later steps. + +## 3. Declare Parameters and Defaults + +Each runtime input must be expressed as a `parameter` node. Parameters can be required or optional and may include default values: + +```python +course_id = query.parameter("course_id", required=True) +student_id = query.parameter("student_id", required=False, default=None) +``` + +For each parameter, document: + +* **Name** - Identifier passed to the DAG node. +* **Type** - String, UUID, ISO date, etc. +* **Required** - Boolean flag. +* **Default** - Optional fallback value. + +> Tip: Emit parameter declarations first so later steps can reuse variables like `course_id["variable"]` consistently. + +For fixed values (e.g., reducer names or field lists), define constants once near where they are used. + +## 4. Plan the Data Flow (DAG Skeleton) + +Translate the goal into a linear sequence of operations. A typical reducer query involves: + +1. Fetching roster metadata or other context. +2. Producing keys for each entity (`keys` nodes). +3. Retrieving reducer documents with `select`. +4. Joining reducer outputs with metadata. +5. (Optional) Post-processing with `map` or `call`. + +Example outline: + +``` +roster = call("get_course_roster", course_id) +reducer_keys = keys(reducer_name, roster.students) +reducer_docs = select(reducer_keys, fields=[...]) +enriched = join(reducer_docs, roster, left_on="student.id", right_on="id") +export enriched +``` + +Verify that every step depends only on earlier outputs, and adjust until the flow is acyclic. + +## 5. Construct Nodes with Query Helpers + +Use `query.py` helpers to implement the skeleton: + +```python +from learning_observer.communication_protocol import query + +roster = query.call("get_course_roster", args={"course_id": course_id}) +reducer_keys = query.keys( + "reading_fluency", + scope_fields={ + "student": {"values": query.variable(roster), "path": "user_id"}, + }, +) +reducer_docs = query.select( + keys=reducer_keys, + fields=query.SelectFields.SUMMARY, +) +enriched = query.join( + left=reducer_docs, + right=query.variable(roster), + left_on="student_id", + right_on="id", +) +``` + +Guidelines: + +* Use `query.variable(node, path=None)` for downstream access to prior outputs. +* Encapsulate repeated or complex logic in functions for reuse and testing. +* Use explicit names and keyword arguments—avoid positional arguments for clarity. + +### Defining reducer scopes for `keys` (preferred vs. legacy) + +Reducers define a scope (e.g., student, student+document, student+document+tab). When +building a `keys` node, pass scope values that align with the reducer scope so the +executor can build the right Redis keys. + +**Preferred: `scope_fields` (supports arbitrary scopes)** + +Use `scope_fields` to supply each scope axis with either a `values` iterable or a +single value (applied across all items), plus an optional `path` into each item. +The scope field names should match the reducer scope: `student`, +`doc_id`, `tab_id`, `page_id`, etc. + +```python +reducer_keys = query.keys( + "writing_observer.some_tabbed_reducer", + scope_fields={ + "student": {"values": query.variable("roster"), "path": "user_id"}, + "doc_id": {"values": query.variable("documents"), "path": "doc_id"}, + "tab_id": {"values": query.variable("tabs"), "path": "tab_id"}, + # or a single value + "student": "bobs_user_id" + }, +) +``` + +**Legacy: `STUDENTS`/`RESOURCES`** + +The older hack only supported student-only or student+document scopes. It is still +accepted for backward compatibility, but prefer `scope_fields` for new work. + +```python +reducer_keys = query.keys( + "writing_observer.last_document", + STUDENTS=query.variable("roster"), + STUDENTS_path="user_id", + RESOURCES=query.variable("documents"), + RESOURCES_path="doc_id", +) +``` + +## 6. Define Exports and Integrations + +Choose which nodes should be externally accessible: + +```python +exports = { + "reading_fluency": query.export("reading_fluency", enriched) +} +``` + +If integrating with the async helper layer, pass `exports` to `learning_observer.communication_protocol.integration.bind_exports`. + +Document required parameters and defaults with the export definitions. + +## 7. Flatten, Validate, and Serialise + +1. Convert the nested DAG into executor-ready form: + + ```python + from learning_observer.communication_protocol import util + dag = util.flatten(exports) + ``` + +2. Confirm all node IDs are unique and reference earlier nodes. Inspect the flattened DAG if generated automatically. + +3. Serialise to JSON (e.g., `json.dumps(dag)`) when sending over the wire. + +4. Add automated tests—at minimum a smoke test against a fixture store. + +## 8. Expose the DAG to Clients + +To make the DAG discoverable over the websocket interface: + +* Define `EXECUTION_DAG` in the module file and register it with the loader. +* On server start, the DAG will be advertised under the module’s namespace. + +Production deployments should prefer predefined DAGs for security. Open-query mode is optional and must be explicitly enabled. + +## 9. Execute the Query + +Submit the flattened DAG to the communication protocol endpoint with runtime parameters: + +```json +{ + "parameters": { + "course_id": "course-123", + "start_date": "2023-09-01" + }, + "exports": ["reading_fluency"], + "dag": { ... flattened nodes ... } +} +``` + +On success, the response includes export payloads keyed by export name. Inspect `DAGExecutionException` for error details. + +The executor validates each requested export before any DAG work begins. If an +export name is unknown - or if its declared `returns` node cannot be found - the +server responds with a `DAGExecutionException` describing the missing export or +node. Surfacing these errors in logs or UI telemetry helps diagnose typos and +stale configuration quickly. + +When using integration bindings, call the generated async function with the same parameters. + +## 10. Construct Websocket Requests + +Clients interact with `/wsapi/communication_protocol` via JSON messages. Each message contains: + +* `execution_dag` - Name of a predefined DAG or a full DAG object. +* `target_exports` - List of exports to run. +* `kwargs` - Runtime parameters. + +Example: + +```json +{ + "docs_request": { + "execution_dag": "writing_observer", + "target_exports": ["docs_with_roster"], + "kwargs": { "course_id": "COURSE-123" } + } +} +``` + +The server streams back updates in messages shaped like: + +```json +[ + { + "op": "update", + "path": "students.student-1", + "value": { "text": "...", "provenance": { ... } } + } +] +``` + +If `rerun_dag_delay` is set, the server automatically re-executes the DAG and pushes updates. + +### Manual testing with the generic websocket dashboards + +Two helper scripts live in `scripts/` for exercising websocket flows without running a full dashboard UI: + +* `generic_websocket_dashboard.py` (Python + `aiohttp`) +* `generic_websocket_dashboard.js` (Node.js + `ws`) + +Both scripts ship with a template payload under the `REQUEST` constant. Update the payload to target the exports and parameters you want to test—for example, changing `execution_dag`, `target_exports`, or `kwargs.course_id`. + +To run the Python version: + +```bash +python scripts/generic_websocket_dashboard.py +``` + +The script opens a websocket to `/wsapi/communication_protocol`, sends the JSON request, and pretty-prints any responses. Install dependencies with `pip install aiohttp` if needed. + +The Node.js version follows the same pattern. After adjusting `REQUEST`, run: + +```bash +node scripts/generic_websocket_dashboard.js +``` + +If you copy the script into a browser console, delete the `require('ws')` line so the native `WebSocket` implementation is used. + +Use these scripts to confirm executor behaviour during development—for example, to observe partial updates or to verify that query parameters are wired correctly before embedding a request in a Dash dashboard. + +## 11. Iterate and Maintain + +* Profile slow queries; large joins may need new helpers or precomputed reducers. +* Keep DAGs version-controlled. Update dependent queries when reducers or helpers change. +* Review security before exposing exports to untrusted clients. + +## 12. Test End-to-End + +* **Unit-test** reducers and helpers independently. +* **Reference** `learning_observer/learning_observer/communication_protocol/test_cases.py` for DAG tests. +* **Exercise websocket flows** manually or with automated integration tests. + +## 13. Document Parameters and Outputs + +Update module documentation with: + +* Export descriptions, parameter types, and return structures. +* Sample request payloads. +* Notes on authentication or runtime context. + +Good documentation ensures developers and tooling can invoke queries reliably. + +### Summary + +Following this workflow ensures queries are consistent, testable, and safe to expose across dashboards, notebooks, and automation tools. diff --git a/docs/how-to/connect_lo_blocks_to_canvas.md b/docs/how-to/connect_lo_blocks_to_canvas.md new file mode 100644 index 000000000..ef99b2f8a --- /dev/null +++ b/docs/how-to/connect_lo_blocks_to_canvas.md @@ -0,0 +1,364 @@ +# Setting up LO Blocks with Canvas Integration + +This guide walks you through integrating LO Blocks with Learning Observer and Canvas via LTI. This setup allows Canvas users to access LO Blocks dashboards while maintaining proper authentication and data flow between all three systems. + +## Prerequisites + +You'll need access to the following systems: + +- **Learning Observer** - Base platform installation +- **LO Blocks** - Dashboard application +- **Canvas** - LMS instance with administrative rights + +## Part 1: Canvas Configuration + +### Initial Setup + +1. **Sign in to Canvas** with administrative privileges + +2. **Create test environment** (recommended for initial setup): + - Create a sample course + - Add sample students + + > **Note for local testing**: If running Canvas locally via Docker Compose: + > - No email server is configured by default + > - All "sent" emails print to the console + > - You must find confirmation email URLs in the console when adding users + +### Configure LTI Application + +Follow the [detailed LTI configuration guide](https://learning-observer.readthedocs.io/en/latest/docs/how-to/lti.html) in our documentation. + +Within Canvas, you'll want to: + +1. Navigate to the Admin portal +2. Click `Developer Keys`, then click `+ Developer Key` +3. Select `LTI Key` +4. Populate the configuration +5. Save the key +6. Enable the key for use + +> **Note**: You may need to revisit these settings after completing the Learning Observer configuration (see "Putting it all together" section below). + +## Part 2: Learning Observer Configuration + +### Base Installation + +1. **Install Learning Observer** base platform using the [Tutorial: Install](../tutorials/install.md) + +### Module Setup + +2. **Create a module** to connect to a reducer: + - [Tutorial: Build and Run a Module from the Cookiecutter Template](../tutorials/cookiecutter-module.md) + - Match the `context` in your module to the `source` in your LO Event (see LO Blocks) + - Add an endpoint in `COURSE_DASHBOARDS` defining the connection to the LO Blocks server + +3. **Configure authentication**: + - Set up password file login using `scripts/lo_passwd.py` (place the outputted file within the `learning_observer/` directory) + +### Canvas Integration Settings + +4. **Modify roster source settings** + + Edit `learning_observer/rosters.py` to update available PMSS values for `roster_source`. + + ```python + pmss.parser('roster_source', parent='string', choices=['google', 'demo-canvas', 'schoology', 'all', 'test', 'filesystem'], transform=None) + ``` + +5. **Update core settings** in your configuration: + + ```yaml + auth: + lti: + demo-canvas: # Allows users to sign in via LTI + + event_auth: + lti_session: # Allows websocket events from LTI-authenticated users + + feature_flags: + canvas_routes: true # Enables Canvas LTI API calls + + roster_data: # See roster PMSS configuration below + ``` + + > **Important**: Replace `demo-canvas` with an identifier specific to your Canvas instance (e.g., `middleton-canvas`, `easttownhigh-canvas`) + +6. **Create roster PMSS file** (`rosters.pmss`): + + ```pmss + roster_data { + source: all; + } + + roster_data[provider="demo-canvas"] { + source: demo-canvas; + } + ``` + + Any user with the provider `demo-canvas` will use the roster source `demo-canvas` whereas the rest of the users will use rouster source equal to `all`. + +7. **Register PMSS file** in `learning_observer/settings.py`: + + ```python + pmss_settings = pmss.init( + prog=__name__, + description="A system for monitoring", + epilog="For more information, see PMSS documentation.", + rulesets=[ + pmss.YAMLFileRuleset(filename=learning_observer.paths.config_file()), + pmss.PMSSFileRuleset(filename='rosters.pmss') + ] + ) + ``` + +**TODO**: Document any other settings needed "for data to flow properly" (referenced but incomplete in original document) + +## Part 3: LO Blocks Configuration + +1. **Configure websocket connection** + + Inside of `src/lib/state/store.ts` check the following: + + - `WEBSOCKET_URL` points to the Learning Observer instance + - `websocketLogger` is included in our list of available `loggers` + - Ensure the `lo_event.init` function uses the same source as defined in the reducer created earlier + +2. **Build the application**: + + ```bash + npx next build + ``` + +3. **Start the application**: + + ```bash + npx next start + ``` + +## Part 4: Putting It All Together + +### Understanding the Architecture + +LO Blocks is a Next.js application with both client and server-side components. This means: + +- We cannot serve it directly from Learning Observer (which requires static builds) +- We must run both applications side-by-side on the same machine +- We need a reverse proxy to route traffic between them + +### Nginx Reverse Proxy Configuration + +We'll use Nginx to route traffic between Learning Observer and LO Blocks. + +#### Routing Strategy + +- **Default traffic** → Learning Observer +- **`/lo-blocks` path** → LO Blocks application +- Users navigate to LO Blocks via a course dashboard link in Learning Observer + +#### Step 1: Configure Next.js Base Path + +Edit your `next.config.js` to set the base path: + +```javascript +const nextConfig = { + basePath: '/lo-blocks' +}; + +export default nextConfig; +``` + +Then rebuild LO Blocks: + +```bash +npx next build +``` + +> **Important**: The `basePath` setting only affects `next/link` and `next/router`. It does NOT affect `fetch()` calls made by the application. + +#### Step 2: Configure Nginx + +Create an Nginx configuration to handle both applications: + +``` +upstream learning_observer { + server localhost:8002; +} + +upstream lo_blocks { + server localhost:3000; +} + +proxy_cache_path /var/cache/nginx/auth levels=1:2 keys_zone=auth_cache:10m max_size=100m inactive=60m; + +map $http_upgrade $connection_upgrade { + default upgrade; + '' close; +} + +server { + listen 8001; + server_name localhost; + + # Default: primary service + location / { + proxy_pass http://learning_observer; + + # WebSocket bits + proxy_http_version 1.1; + proxy_set_header Upgrade $http_upgrade; + proxy_set_header Connection $connection_upgrade; + + # Common headers + proxy_set_header Host $host; + proxy_set_header X-Real-IP $remote_addr; + proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; + proxy_set_header X-Forwarded-Proto $scheme; + proxy_set_header Cookie $http_cookie; + } + + # 1) Next.js app mounted at /special-route + # (this is essentially your original block; I only added a slash to the prefix + # for clarity in matching deeper paths). + location /special-route { + # auth for anything under /special-route + auth_request /auth-check; + + auth_request_set $user_id $upstream_http_x_user_id; + auth_request_set $user_email $upstream_http_x_user_email; + auth_request_set $user_name $upstream_http_x_user_name; + + proxy_pass http://lo_blocks; # passes /special-route[...] as-is to Next + proxy_set_header Host $host; + proxy_set_header X-Real-IP $remote_addr; + proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; + proxy_set_header X-Forwarded-Proto $scheme; + + proxy_set_header X-User-ID $user_id; + proxy_set_header X-User-Email $user_email; + proxy_set_header X-User-Name $user_name; + + proxy_set_header Authorization $http_authorization; + } + + # 2) NEW: route /api/* -> Next's /special-route/api/* + # + # This is the key bit: we don't use 'rewrite' here, we let proxy_pass + # do the path mapping via its trailing slash behavior. + location /api/ { + # Apply the same auth behavior as /special-route + auth_request /auth-check; + + auth_request_set $user_id $upstream_http_x_user_id; + auth_request_set $user_email $upstream_http_x_user_email; + auth_request_set $user_name $upstream_http_x_user_name; + + # Map: + # /api/content -> /special-route/api/content + # /api/foo/bar?x=1 -> /special-route/api/foo/bar?x=1 + proxy_pass http://lo_blocks/special-route/api/; + + proxy_set_header Host $host; + proxy_set_header X-Real-IP $remote_addr; + proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; + proxy_set_header X-Forwarded-Proto $scheme; + + proxy_set_header X-User-ID $user_id; + proxy_set_header X-User-Email $user_email; + proxy_set_header X-User-Name $user_name; + + proxy_set_header Authorization $http_authorization; + } + + # Internal location for auth checking + location = /auth-check { + internal; + + proxy_pass http://learning_observer/auth/userinfo; + proxy_pass_request_body off; + proxy_set_header Content-Length ""; + proxy_set_header X-Original-URI $request_uri; + + proxy_set_header Authorization $http_authorization; + proxy_set_header Cookie $http_cookie; + + proxy_cache auth_cache; + proxy_cache_valid 200 5m; + proxy_cache_key "$http_authorization$cookie_session"; + } + + location /auth/userinfo { + proxy_pass http://learning_observer/auth/userinfo; + proxy_set_header Host $host; + proxy_set_header X-Real-IP $remote_addr; + proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; + } + + error_page 401 403 = @auth_error; + + location @auth_error { + return 401 '{"error": "Authentication required or user does not exist"}'; + add_header Content-Type application/json; + } +} +``` + +The configuration should include: + +- Proxy pass rules for Learning Observer (default) +- Proxy pass rules for `/lo-blocks` → LO Blocks +- **API fetch() workaround**: Rewrite `/api/*` requests to include the `/lo-blocks` prefix + - This is necessary because Next.js `fetch()` calls don't respect `basePath` + - Safe because Learning Observer doesn't use `/api` routes + +> **Assumption**: LO Blocks runs on port 3000, Learning Observer runs on port 8002 +> To change the Learning Observer port: Add `--port 8002` to the Makefile run command or adjust in `creds.yaml` + +### HTTPS Configuration for Canvas + +Canvas requires HTTPS for LTI integrations. For local development: + +#### Option 1: Cloudflare Tunnel (Recommended for local testing) + +1. **Create a secure tunnel**: + + ```bash + cloudflared tunnel --url http://localhost:8001 + ``` + + This creates a tunnel between your local port and a public HTTPS URL. + +2. **Update configurations** with the tunnel URL: + + **In `creds.yaml`**: + + ```yaml + hostname: your-tunnel-url.trycloudflare.com # Without https:// + + auth: + lti: + demo-canvas: + redirect_uri: https://your-tunnel-url.trycloudflare.com/auth/lti/callback + ``` + + **In Canvas LTI configuration**: + - Update all URL fields with the proper domain `https://your-tunnel-url.trycloudflare.com` + - `target_link_uri: domain/lti/demo-canvas/login` + - `oidc_initiation_url: domain/lti/demo-canvas/login` + - `redirect_uris: domain/lti/demo-canvas/launch` + +## Verification and Testing + +Once everything is configured: + +1. **Canvas → Learning Observer connection**: + - Users should be able to launch the LTI tool from Canvas + - Authentication should work via LTI + +2. **Navigation to LO Blocks**: + - Users should see the dashboard link in Learning Observer + - Clicking should navigate to LO Blocks interface + +3. **Data persistence**: + - User progress in LO Blocks should save properly + - Data flows through websocket connection to Learning Observer diff --git a/docs/dashboards.md b/docs/how-to/dashboards.md similarity index 55% rename from docs/dashboards.md rename to docs/how-to/dashboards.md index baa271f70..f0f767fc5 100644 --- a/docs/dashboards.md +++ b/docs/how-to/dashboards.md @@ -6,7 +6,7 @@ We can create custom dashboards for the system. Dash is a package for writing and serving web applications directly in Python. In Dash, there are 2 primary items, 1) page components such as headers, divs, spans, etc. and 2) callbacks. -### Getting started +### Getting Started with Dash Page components can be set up similar to other `html` layouts, like so @@ -157,6 +157,13 @@ window.dash_clientside.learning_observer_template = { } ``` +The websocket helper always reads its connection details from the page +hash. Without a hash (or without a `course_id` entry in the decoded +parameters) the client returns `no_update`, meaning the dashboard never +sends a query to the communication protocol. When you add links to a +dashboard, ensure they preserve whatever hash parameters the module +expects—typically at least `course_id` and sometimes other filter values. + To add a dashboard to a module, add the following to the module's `module.py` file ```python @@ -180,3 +187,95 @@ DASH_PAGES = [ } ] ``` + +## NextJS + +NextJS is web framework for building React-based web applications along with additional server-side functionality. + +### Getting Started with NextJS + +Follow the [Getting Started Guide](https://nextjs.org/docs/app/getting-started) in the official NextJS documentation. + +### Serving NextJS in the Learning Observer + +Before NextJS application can be built and added to the system, a few configuration changes need to be made. The built application will not access the server-side code. Any server-side API endpoints need to be implemented in Python. The code that calls these endpoints will need to be updated to point to the correct path. + +Additionally, we need to add a `basePath` to our `next.config.js` file. When building the application, this prefixes all paths with the defined base path. This allows links to function appropriately while being served from Learning Observer. Using a base path is especially important when multiple modules serve NextJS dashboards, because it prevents routing conflicts by ensuring that each module's assets are namespaced by the module name. + +```js +const nextConfig = { + // ... the rest of your config + basePath: '/_next//', + output: 'export', +} +``` + +With this configuration: + +* Without a base path, multiple modules exporting dashboards to `/` will conflict with one another and with Learning Observer's own root path. +* With a base path, each module is served from `/_next///`, which avoids those conflicts by including the module name in the URL path. +* Avoid absolute paths inside the application (for example, `href="/students"`). Absolute paths ignore the configured `basePath`, which breaks routing when the dashboard is served from Learning Observer. Prefer relative links or the [`next/link`](https://nextjs.org/docs/pages/api-reference/components/link) component's `basePath`-aware helpers. + +Use query parameters instead of dynamic path segments for any routing that needs to work after static export. For example, prefer `students/compare?id=123` instead of `/students/[id]/compare` so that the static export can generate the page. + +During development it can be helpful to mock the data that will normally arrive via the Learning Observer websocket. A simple placeholder object keeps the dashboard usable before the websocket connection is wired up: + +```js +const data = { + students: { + martha: { + documents: { + history_essay: { + text: 'this is my history essay' + } + } + } + } +}; +``` + +To add a NextJS project to a module: + +1. Build the project with `npm run build`. The static export requires the `output: 'export'` setting shown above. A directory named `out` will be created and the built application will be placed there. +2. Copy the contents of `out` to `modules///`. +3. Add the path to the built application to the module's `module.py` file + + ```python + # module.py + # ...other definitions + ''' + Next js dashboards + ''' + NEXTJS_PAGES = [ + {'path': '/'} + ] + ``` + +4. Install the module in editable mode with `pip install -e modules/`. +5. Start Learning Observer with `make run` to serve the dashboard. + +### Connecting to the Communication Protocol + +When you are ready to connect to Learning Observer's Communication Protocol, install the `lo_event` module to gain access to the shared websocket utilities. + +Installing `lo_event` makes the `LOConnectionDataManager` React hook available to your NextJS project. The hook manages websocket connection state and incoming messages so that your components can focus on rendering data. + +Adding `lo_event` may surface build-time errors if your environment lacks Node polyfills. For example, some systems report `fs` being unavailable. You can instruct Webpack to ignore the `fs` module when bundling the client by extending `next.config.js`: + +```js +const nextConfig = { + // ...existing config + webpack: ( + config, + { buildId, dev, isServer, defaultLoaders, nextRuntime, webpack } + ) => { + config.resolve.fallback = { + ...config.resolve.fallback, + fs: false, // tells Webpack to ignore fs in client bundle + }; + return config; + }, +}; + +module.exports = nextConfig; +``` diff --git a/docs/docker.md b/docs/how-to/docker.md similarity index 100% rename from docs/docker.md rename to docs/how-to/docker.md diff --git a/docs/how-to/extension.md b/docs/how-to/extension.md new file mode 100644 index 000000000..a89476ea0 --- /dev/null +++ b/docs/how-to/extension.md @@ -0,0 +1,136 @@ +# Writing Observer Extension + +The Writing Observer browser extension collects rich event data while a writer works in Google Docs so that the Learning Observer platform can analyse the writing process. The extension code lives in [`extension/writing-process/`](../../extension/writing-process/) and is packaged with [Extension CLI](https://oss.mobilefirst.me/extension-cli/) and webpack. + +## Project Layout + +The directory contains a standard Extension CLI project: + +- `src/` - extension source files. Webpack writes the bundled content scripts and background bundles back into this directory as `*.bundle.js` files. + - `writing.js` and `writing_common.js` run in the Google Docs page and capture keystrokes and context. + - `background.js` and `service_worker.js` coordinate logging, open the websocket connection to Learning Observer, and respond to browser lifecycle events. + - `pages/` stores the popup, options page, and other extension UI assets. +- `assets/` - icons used by the published extension. +- `webpack.config.js` - bundles the source code and excludes Node-specific dependencies required by the `lo-event` package. +- `test/` - placeholder for unit tests executed by the Extension CLI test runner. + +## Prerequisites + +- Node.js and npm (the project was last updated with Node 18.x, though later LTS versions should also work). +- Google Chrome for manual testing. +- Access to the [`lo-event`](../../modules/lo_event/) package, which provides messaging utilities that the extension uses to communicate with Learning Observer services. + +## Install Dependencies + +Install everything from inside the extension directory: + +```bash +cd extension/writing-process +npm install +``` + +The `lo-event` dependency is declared as a `file:` package in `package.json`, so it is linked from the local repository when you install. If `npm install` cannot resolve it automatically, install it explicitly: + +```bash +npm install ../../modules/lo_event +# or link it for iterative development +cd ../../modules/lo_event +npm link +cd - +npm link lo-event +``` + +## Everyday development tasks + +Most workflows are exposed through npm scripts. Run them from `extension/writing-process/`. + +### Bundle source files + +Use webpack to generate the bundled scripts that the extension loads at runtime. + +```bash +npm run bundle # one-off build of background.js, writing.js, etc. +npm run bundle:watch # continuously rebuild while editing +``` + +The bundles are written to `src/*.bundle.js`. Ensure these bundles exist before packaging the extension or running tests. + +### Run the extension in development + +Extension CLI can watch the project, rebuild on changes, and output an unpacked extension in `dist/`. + +```bash +npm run ext:start # Chrome/Chromium development build +``` + +Both commands keep watching the filesystem and rebuild when files change. Load the unpacked directory they produce (see [Loading the extension locally](#loading-the-extension-locally)). + +### Run automated tests + +```bash +npm run ext:test # run the Extension CLI test suite +npm run coverage # generate an lcov coverage report via nyc +``` + +The default tests under `test/` are minimal; extend them as new functionality is added. + +### Clean build artefacts and generate docs + +```bash +npm run ext:clean # remove dist/ +npm run ext:docs # produce API docs in public/documentation/ +npm run ext:sync # refresh Extension CLI config files +``` + +Use these scripts before packaging to ensure the release contains only fresh bundles. + +## Building for release + +`npm run build` is the primary release command. It removes any existing `dist/` directory, builds the webpack bundles, and then invokes `ext:build`. + +```bash +npm run build +``` + +After the command completes you will have: + +1. `dist/` – the unpacked extension directory that can be loaded directly in Chromium-based browsers. +2. `release.zip` – an archive suitable for uploading to the Chrome Web Store or distributing manually. + +You can also call the lower-level packaging commands when needed: + +```bash +npm run ext:build # Chrome release bundle only +``` + +## Loading the extension locally + +1. Run `npm run build` (or `npm run ext:start`) to populate the `dist/` directory. +2. Navigate to `chrome://extensions/` in Chrome. +3. Enable **Developer mode** and click **Load unpacked**. +4. Select the `extension/writing-process/dist` directory. + +## Deploying updates + +- Upload the generated `release.zip` to the Chrome Web Store dashboard when publishing new versions. +- Update the `version` field in `src/manifest.json` to match the release number before packaging. +- If the Learning Observer websocket endpoint changes, update `WEBSOCKET_SERVER_URL` in `src/background.js` so that the extension sends analytics to the correct server. + +## System design overview + +The extension relies on two complementary streams of information: + +- **Content scripts (`writing.js`, `writing_common.js`)** run inside Google Docs. They capture keystrokes, document metadata, and lifecycle events, and send structured messages to the background service worker. +- **Background/service worker (`service_worker.js`, `background.js`)** manages the analytics pipeline. It listens for messages from content scripts, observes Google Docs network requests (notably `save` and `bind` endpoints), and forwards data to Learning Observer via the `lo-event` logging framework. It activates only when a Google Docs tab has injected the content script to avoid unnecessary logging. + +This design protects against frequent changes in Google Docs. The network listener provides redundancy when Google modifies the document structure, while the keystroke data keeps precise typing information. + +## Maintaining compatibility with Google Docs + +Google occasionally introduces changes that can disrupt the extension, especially around Manifest V3 requirements and Google Docs rendering updates. To reduce churn: + +- Keep an eye on [Chrome extension updates](https://developer.chrome.com/docs/extensions/whatsnew/). Manifest-level changes (e.g. the MV2 → MV3 migration) often require updates to background scripts and permissions. +- When Google Docs changes its network endpoints, temporarily enable `RAW_DEBUG` in `src/background.js` to capture raw traffic and help reverse-engineer new request formats. +- Test the extension after major Google Docs updates to confirm that keystroke logging and document reconstruction still work as expected. + +For deeper architectural details, consult the inline documentation within each source file in `extension/writing-process/src/`. diff --git a/docs/how-to/impersonation.md b/docs/how-to/impersonation.md new file mode 100644 index 000000000..149fbe5ca --- /dev/null +++ b/docs/how-to/impersonation.md @@ -0,0 +1,31 @@ +# Impersonating users + +Learning Observer includes a lightweight impersonation flow so administrators can review dashboards and data as another user. The implementation relies on two HTTP routes that adjust the authenticated session and a Dash banner that surfaces the active impersonation. + +## Start impersonating + +The `start_impersonation` handler is protected by the `@learning_observer.auth.admin` decorator, so only administrators can trigger the flow. It accepts the target user ID as a path parameter and stores that identifier in the encrypted session under the `impersonating_as` key. + +``` +GET /start-impersonation/{user_id} +``` + +Once the route runs, the session entry looks like `{ "user_id": }`, and any request that reads the active user from the session will treat this impersonated identity as the current user. + +## Stop impersonating + +The stop route clears the impersonation entry from the session. + +``` +GET /stop-impersonation +``` + +If no impersonation was active, the handler returns a message indicating that nothing changed. + +## How impersonation affects user lookup + +Whenever user information is needed during a request, `learning_observer.auth.utils.get_active_user` checks for the `impersonating_as` session entry first. When present, it returns the impersonated profile instead of the authenticated user stored under `user`. This makes downstream code unaware of whether a request is genuine or impersonated. + +## Dash banner for impersonation state + +Dash pages include a small banner at the top of the layout. On page load, `update_impersonation_header` reads the session from the underlying `aiohttp` request. When an impersonated user is present, the banner renders a label showing the impersonated identity and a “Stop” button that links to `/stop-impersonation`. diff --git a/docs/interactive_environments.md b/docs/how-to/interactive_environments.md similarity index 100% rename from docs/interactive_environments.md rename to docs/how-to/interactive_environments.md diff --git a/docs/how-to/lti.md b/docs/how-to/lti.md new file mode 100644 index 000000000..e2af168b4 --- /dev/null +++ b/docs/how-to/lti.md @@ -0,0 +1,180 @@ +# Serve Learning Observer as an LTI 1.3 tool + +Learning Observer ships with an IMS LTI 1.3 implementation that relies on the platform's OpenID Connect (OIDC) handshake to authenticate users and obtain scoped API access tokens from the learning management system (LMS). Use this guide to register the tool in an LMS and connect it to a course shell. + +## Prerequisites + +* A deployment of Learning Observer reachable by the LMS (typically via HTTPS). +* An LMS that supports LTI 1.3 with dynamic registration or manual developer keys (e.g., Canvas or Schoology). +* Administrative access in that LMS to create a developer key / external tool. + +## 1. Generate and share a signing key + +Learning Observer signs client assertions with an RSA private key when it exchanges OIDC launch data for an LMS access token. Generate a keypair, store the private key somewhere on the application host, and upload the public key to the LMS when you create the developer key. + +```bash +# create a 4096-bit RSA keypair +openssl genrsa -out secrets/lti-tool-private.pem 4096 +openssl rsa -in secrets/lti-tool-private.pem -pubout > secrets/lti-tool-public.pem +``` + +Record the filesystem path to the private key; you'll reference it in the application configuration in the next step. + +## 2. Configure `creds.yaml` + +Enable the LTI provider in `learning_observer/creds.yaml` by adding an entry under `auth.lti.`. Each provider requires the LMS endpoints, the Learning Observer redirect URL, and the private key location. A Canvas example looks like this: + +```yaml +auth: + lti: + sample-canvas: + client_id: "10000000000000" + auth_uri: "https://canvas.example.edu/api/lti/authorize_redirect" + jwks_uri: "https://canvas.example.edu/api/lti/security/jwks" + token_uri: "https://canvas.example.edu/login/oauth2/token" + redirect_uri: "https://lo.example.edu/lti/sample-canvas/launch" + private_key_path: "secrets/lti-tool-private.pem" + api_domain: "https://canvas.example.edu" # Canvas-specific +``` + +Set `redirect_uri` to the public URL that will receive the POST launch request (`/lti//launch`). The login initiation URL for the LMS is the matching `/lti//login` route. + +Restart the application after updating configuration so the new provider registration is loaded. + +## 3. Enable LMS API routes + +Learning Observer only exposes the IMS Names & Roles (NRPS) and Assignment & Grade Service (AGS) proxy routes when the matching feature flag is turned on. Add the appropriate flag to `creds.yaml` so the application registers the routes during startup: + +```yaml +feature_flags: + canvas_routes: true # Canvas NRPS/AGS proxy endpoints + # schoology_routes: true # Schoology NRPS/AGS proxy endpoints +``` + +## 4. Map the roster source with PMSS + +LTI launches identify the LMS provider in the session so roster lookups can decide which backend to call. Create a PMSS overlay that maps the provider to the correct roster source (see [System settings](../concepts/system_settings.md) for more on PMSS). For Canvas, create a file such as `config/roster_source.pmss` alongside `creds.yaml` with the following contents: + +```pmss +roster_data[provider="sample-canvas"] { + source: sample-canvas; +} +``` + +If you support multiple LMS tenants, add additional selector blocks for their email domains or provider names and point them at `schoology`, `filesystem`, or any other supported roster backend. + +## 5. Register the tool in the LMS + +When you create the LTI developer key/external tool inside the LMS: + +1. Supply the **OIDC login initiation URL** as `https:///lti//login`. +2. Supply the **redirect/launch URL** as `https:///lti//launch`. +3. Paste the **public key** generated earlier so the LMS can validate the signed client assertions. +4. Copy the LMS-issued **client ID** and the platform endpoints (authorize, JWKS, token) into `creds.yaml` if you have not done so already. + +Publish the developer key and install the tool in the desired course/context. The LMS will send the context identifiers in the launch claims so Learning Observer can associate sessions with the right course. + +## 6. Verify the launch + +* Add the external tool link to a module or assignment inside the LMS course. +* Launch the tool from within the LMS. Learning Observer should redirect the browser to the LMS's authorize endpoint, validate the launch state and nonce, and then create a session for the user when the LMS returns. +* Successful launches land on the root of the application with LMS-specific authorization headers stored in the session for follow-up roster and grade sync operations. + +If the launch fails, inspect the Learning Observer logs for messages beginning with `LTI Launch`—they include detailed context whenever state validation, token exchange, or JWT verification fails. Once the LMS recognizes the tool, you can remove or hide other authentication methods; Learning Observer will automatically expose the LTI login routes whenever `auth.lti` providers are configured. + +## 7. Plan student identity mapping + +LTI launch data only includes the learner's email address, while Writing Observer's Google Workspace integrations emit a Google-specific user identifier. To keep downstream reducers and dashboards working for LTI cohorts, plan to run the maintenance workflow that maps emails to Google IDs. Refer to the [Student Identity Mapping guide](../concepts/student_identity_mapping.md) for an overview of how the reducer and maintenance script cooperate and how to operate the sync in production. + +## 8. Submit grades through the AGS proxy + +Once the feature flag for your LMS is enabled (for example `canvas_routes: true`), Learning Observer registers proxy endpoints that forward IMS Assignment & Grade Service (AGS) calls using the authorization headers captured during the LTI launch. You can submit grades for a Canvas course line item with a simple POST to the proxy URL: + +```bash +curl -X POST \ + -H "Content-Type: application/json" \ + -b cookies.txt \ # session created by an LTI launch + https://lo.example.edu/sample-canvas/lineitem_scores/12345/67890 \ + -d '{ + "userId": "student-lti-id", + "scoreGiven": 8, + "scoreMaximum": 10, + "activityProgress": "Completed", + "gradingProgress": "FullyGraded", + "timestamp": "2024-06-30T15:04:05Z" + }' +``` + +* Replace `sample-canvas` with your configured provider name. +* `12345` is the Canvas course ID and `67890` is the AGS line item ID returned by the `/course_lineitems` endpoint. +* The JSON body follows the [IMS AGS score](https://www.imsglobal.org/spec/lti-ags/v2p0#score-media-type) format and is forwarded verbatim to the LMS. + +For server-side use, the corresponding local function accepts the same parameters via `json_body`: + +```python +await canvas_functions['raw_lineitem_scores']( + runtime, + courseId='12345', + lineItemId='67890', + json_body={ + 'userId': 'student-lti-id', + 'scoreGiven': 8, + 'scoreMaximum': 10, + 'activityProgress': 'Completed', + 'gradingProgress': 'FullyGraded', + 'timestamp': '2024-06-30T15:04:05Z' + } +) +``` + +`canvas_functions` is the dictionary returned by `setup_canvas_provider(...)(app)` during app initialization. Both the HTTP route and the local call reuse the LTI access token stored in the user's session, so no additional authentication headers are required. + +### Try it with the sample LTI Grade Demo module + +The repository ships with a sample module you can use to poke at the LTI launch context and post grades through a browser form. Install the module (e.g., `pip install -e modules/wo_lti_grade_demo`) and visit `/views/wo_lti_grade_demo/lti-grade-demo/` after launching via LTI. The page shows: + +- A session summary pulled from the launch claims (provider, course context IDs, and the current `userId`). +- A minimal grade submission form that forwards to `/views/wo_lti_grade_demo/submit-score/`, which in turn calls the AGS score endpoint registered for the provider detected in the session. +- A "Load line items" helper that calls `/views/wo_lti_grade_demo/line-items/` for the current course (or a manually entered `courseId`) and fills a datalist so you can pick a valid AGS line item ID. + +The helper endpoints `/views/wo_lti_grade_demo/session-summary/` and `/views/wo_lti_grade_demo/line-items/` are also available if you prefer to pull the launch metadata and line items directly and post scores with your own client. + +### Getting Canvas line items to appear + +Canvas only exposes LTI Assignment & Grade Service (AGS) line items for assignments that are tied to an external tool launch (or that were created through the AGS API). A plain Canvas assignment without an LTI tool configured will not show up in `/course_lineitems`. To create a testable line item: + +1. In Canvas, open the course and click **Assignments → + Assignment**. +2. Set a name and points, then under **Submission Type** choose **External Tool** and pick your installed LTI tool. Save and publish the assignment. +3. Launch the tool from the assignment at least once so Canvas associates the line item with the tool. +4. Re-run the demo module's "Load line items" helper or call `/course_lineitems` and you should see the new line item label and ID. + +If you prefer to create a line item programmatically, POST an AGS line item object to `/api/lti/courses/{courseId}/line_items` (or the proxy route registered by `canvas_routes`). A minimal body looks like: + +```json +{ + "scoreMaximum": 10, + "label": "My LTI Practice Assignment", + "resourceId": "practice-1" +} +``` + +Canvas returns the new `id` URL in the response, which is the `lineItemId` you can plug into the grade submission examples above. + +### Managing multiple assignments from one LTI tool + +If your Writing Observer deployment hosts several learning experiences (for example, multiple dashboards or writing tasks) but you want to keep using a single LTI tool installation, create **one Canvas assignment per experience** and route inside the tool based on the launch claims: + +1. In Canvas, add a separate **External Tool** assignment for each activity. All of them can point to the same LTI launch URL; Canvas will still generate distinct AGS line items and a unique `resource_link_id` per assignment. +2. (Optional but recommended) Add a Canvas *Custom Field* on each assignment such as `module_slug=revision` or `activity_id=essay-1`. These become `custom` claims in the LTI launch payload and let you steer users to the right part of your app. +3. In your request handler, read the launch session and route to the correct module using the custom field or `resource_link_id`. A minimal example: + + ```python + launch = request.session['lti_launch'] + custom = launch.get('custom', {}) + target = custom.get('module_slug') or MODULE_BY_RESOURCE_LINK.get(launch['resource_link_id']) + return RedirectResponse(f"/views/{target}/") + ``` + +4. When posting grades, reuse the AGS line item associated with the launch. You can pull it from `/views/wo_lti_grade_demo/line-items/` (filtered by `courseId` and matched via `label`/`resourceId`) or store the returned `lineItem` claim from the launch for the active assignment. + +This approach keeps a single LTI registration while giving instructors separate Canvas assignments and gradebook columns for each experience in your app. diff --git a/docs/how-to/multiple_roster_sources.md b/docs/how-to/multiple_roster_sources.md new file mode 100644 index 000000000..fe0823342 --- /dev/null +++ b/docs/how-to/multiple_roster_sources.md @@ -0,0 +1,101 @@ +# Configuring Multiple Roster Sources + +This guide explains how to configure Learning Observer to load rosters from +multiple providers using [PMSS (Preference Management Style Sheets)](https://github.com/ETS-Next-Gen/pmss). + +## 1. Define roster sources in PMSS + +Create a PMSS file (for example `rosters.pmss`) that declares the roster sources +and the provider/domain specific overrides. The default rule selects `all` +roster data, while provider- and domain-specific rules replace that value when a +match is found. + +```pmss +roster_data { + source: all; +} + +roster_data[provider="example-schoology"] { + source: schoology; +} + +/* Note that Canvas requires a slightly different source format */ +roster_data[provider="example-canvas"] { + source: example-canvas; +} + +roster_data[domain="learning-observer.org"] { + source: google; +} +``` + +Save the file alongside your configuration so that it can be referenced by the +application. + +## 2. Load the PMSS ruleset in `settings.py` + +Add the new PMSS file to the `pmss.init` call in `settings.py`. This loads both +the standard YAML configuration and the roster rules you just defined. + +```python +# settings.py +pmss_settings = pmss.init( + prog=__name__, + description="A system for monitoring", + epilog="For more information, see PMSS documentation.", + rulesets=[ + pmss.YAMLFileRuleset(filename=learning_observer.paths.config_file()), + pmss.PMSSFileRuleset(filename="rosters.pmss"), + ], +) +``` + +> **Note:** The PMSS file path is currently hard-coded. Future work will make +> this discovery automatic. + +## 3. Ensure roster sources are supported + +Each roster source requires the associated integration to be configured: + +- `google` requires Google OAuth credentials and callback URLs to be set up. +- `example-canvas` (and other Canvas instances) may need additional PMSS options to + expose Canvas-specific configuration, such as API tokens and instance URLs. +- `schoology` requires the Schoology integration to be enabled and configured. + +Verify that the necessary credentials and configuration options exist before +enabling a source. + +## 4. Enable feature flags for roster routes + +In the system settings, confirm that the relevant feature flags are enabled so the +system exposes the API routes for each provider. Flags follow the +`_routes` naming pattern, for example: + +```yml +# creds.yaml +feature_flags: {google_routes, canvas_routes, schoology_routes} +``` + +These flags allow the application to access the provider-specific endpoints and +retrieve roster data. + +## 5. Test with multiple contexts + +Access the system through each supported context to verify that rosters appear +as expected: + +- Sign in with Google to check the `google` roster data. +- Launch from Canvas via LTI to verify the `example-canvas` roster. +- Launch from Schoology to validate the `example-schoology` roster. + +The user's session context (provider and domain) is evaluated in +`learning_observer/rosters.py` to choose the appropriate PMSS setting. As you +switch between providers, confirm that the roster displayed matches the source +specified in your PMSS configuration. + +## 6. PMSS as a user-specific configuration tool + +This setup demonstrates how PMSS can tailor settings per user or institution by +matching on provider and domain. While roster selection is the primary use case +now, the same approach can be extended to differentiate other settings for +specific audiences in the future. diff --git a/docs/how-to/offline_replay.md b/docs/how-to/offline_replay.md new file mode 100644 index 000000000..12c97328e --- /dev/null +++ b/docs/how-to/offline_replay.md @@ -0,0 +1,84 @@ +# Offline replay with study logs + +This guide covers how to replay Learning Observer study logs for offline analysis using `learning_observer/offline.py`. + +## Prerequisites + +- Install dependencies so the Learning Observer package and its modules are importable +- Change into the Learning Observer directory for proper discoverability of files + +```bash +pip install -e learning_observer/ +cd learning_observer/ +``` + +- Collect the study logs you want to replay. Study logs are produced with a `.study.log` suffix (optionally `.gz` when compressed). They include replay metadata that the offline pipeline expects; do **not** use the raw `.log` files. + +## Processing a single study log file + +Use the helper functions in `learning_observer/offline.py` to initialize the environment and process a file. The examples below assume you are running them from the repository root. + +```bash +python - <<'PY' +import asyncio +from learning_observer import offline + +# Prepare the in-memory KVS and reducers for offline replay +offline.init('creds.yaml') + +# TODO: Offline replay currently initializes PMSS with default rulesets only. +# If you need custom `.pmss` overlays or alternate YAML files, update the +# offline initializer to accept ruleset paths. + + +# Replace this path with the study log you want to replay +log_path = "/path/to/your/session.study.log" + +async def main(): + processed, source, user = await offline.process_file(file_path=log_path) + print(f"Processed {processed} events from {source} as user {user}") + +asyncio.run(main()) +PY +``` + +- `process_file` only accepts study logs ending in `.study.log` or `.study.log.gz` and will reject other log types. +- If you do not provide a `userid`, a random safe username is generated to avoid inadvertently reusing PII from the log. + +## Processing all study logs in a directory + +To replay multiple study logs, point `process_dir` at a directory. It automatically filters to `*.study.log` and `*.study.log.gz` files. + +```bash +python - <<'PY' +import asyncio +from learning_observer import offline + +offline.init('creds.yaml') + +async def main(): + files, events = await offline.process_dir("/path/to/study/logs") + print(f"Processed {events} events across {files} study logs") + +asyncio.run(main()) +PY +``` + +## Resetting state between runs + +Offline processing stores data in the in-memory key-value store (KVS). To clear previously replayed events before another run, call `offline.reset()`: + +```bash +python - <<'PY' +import asyncio +from learning_observer import offline + +offline.init('creds.yaml') + +async def main(): + await offline.reset() + print("KVS cleared") + +asyncio.run(main()) +PY +``` diff --git a/docs/install.md b/docs/install.md deleted file mode 100644 index 0d3099820..000000000 --- a/docs/install.md +++ /dev/null @@ -1,73 +0,0 @@ -# Formative Process for Writing - Installation Instructions -Last updated: 16-JAN-2020 - -## Install Chrome Extension -* Set up a github SSH key. -* Download the extension code: -```bash -cd -git clone https://github.com/ETS-Next-Gen/writing_analysis.git writing_analysis -``` -* Navigate to `chrome://extensions`. -* Click on "Load Unpacked". Select ~/writing_anlysis/extensions - -## Create an AWS account and an EC2 instance. -* Select Ubuntu, nano AMI. The cost should be 0.5 cents per hour. -* In security groups, add HTTP, HTTPS rules. Open up only to your computer's IP address (the client). -* Launch instance. -* Suppose your instance public DNS is {ec2_ip}, e.g., ec2-18-223-122-172.us-east-2.compute.amazonaws.com. -* Create aSSH key pair, save PEM file say under ~/.ssh, chmod to u+r. - -## Set up the EC2 instance. -* SSH into the machine: `bash ssh -i {pem_file} ubuntu@{ec2_ip}`. -* (Optional) Create a user account: sudo useradd {user} -* Download the server code (same repository as the extension): -```bash -cd -git clone https://github.com/ETS-Next-Gen/writing_analysis.git writing_analysis -``` -* Install Ansible. -```bash -sudo apt-get update -sudo apt-get upgrade -sudo apt-get install ansible -```` -* Configure Ansible. -sudo pico /etc/ansible/hosts -Add -``` -[localhost] -127.0.0.1 -``` -* `cd ~/writing_analysis/configuration`. -* Run `sudo ansible-playbook local.yaml`. This may take a while on an EC2 nanon machine. -If all goes well, you should see an output with no errors, like this: -``` -bash -... -PLAY RECAP ****************************************************************************************** -127.0.0.1 : ok=5 changed=4 unreachable=0 failed=0 -``` -* Navigate to http://{ec2_ip}; you should see the message "Welcome to nginx!" if it's working. - -## Obtain a free domain name -* Go to noip.com. -* Sign up - -## Obtain a free SSL Certificate Using Certbot -* Run the following commands: -```bash -sudo apt-get install software-properties-common -Sudo add-apt-repository universe -sudo add-apt-repository ppa:certbot/certbot -sudo apt-get update -sudo apt-get install certbot python-certbot-nginx -``` -``` -bash -sudo certbot --nginx -``` --- Put in your {mydomain}.hopto.org address. --- Choose 1 - no redirect. - -## Stand up a backend server on the EC2 instance. diff --git a/docs/code_quality.md b/docs/reference/code_quality.md similarity index 100% rename from docs/code_quality.md rename to docs/reference/code_quality.md diff --git a/docs/reference/documentation.md b/docs/reference/documentation.md new file mode 100644 index 000000000..52ce073de --- /dev/null +++ b/docs/reference/documentation.md @@ -0,0 +1,33 @@ +# Documentation + +## Build process + +Using [Sphinx](https://www.sphinx-doc.org/en/master/) we automatically build the documentation using markdown files and docstrings from the code. + +On pushes or pull requests to the main branch, the documentation is auto-built and available on [Readthedocs](https://readthedocs.org/). + +## Including documentation + +Since documentation is built from the code, every contribution should clearly state what component the documentation describes (for example a module, CLI tool, or feature page). After creating the content, make sure a reference to the source file lives in the appropriate subsection so that Sphinx can locate and render it. + +### Markdown file + +To document a new page that lives in a standalone markdown file, follow these steps: + +1. Place the markdown file under the appropriate section in `docs/`. For example, how-to guides live in `docs/how-to/` and reference material belongs in `docs/reference/`. Any images should be placed in `docs/_images`. +2. In the pull request description (and any related communication), specify which page the new file documents so reviewers understand the context. +3. Update the corresponding section index (`autodocs/how-to.rst`, `autodocs/reference.rst`, etc.) to include your new page in its `.. toctree::`. Each index file keeps its toctree organized by the section's subsections, so add a line that points to the new markdown file (for example, `docs/how-to/new_guide.md`). + +This ensures the page is discoverable from the rendered documentation and is built automatically by Sphinx. + +### Module + +To document a Python package or module, follow these steps: + +1. In your change description, call out the module the documentation targets so the reviewer can verify coverage. +2. Add or update the module's `README.md` under `modules//README.md`. During the Sphinx build, `autodocs/conf.py` copies each module README into `autodocs/module_readmes/`, and `autodocs/modules.rst` automatically includes every file in that directory via a globbed toctree. +3. Make sure the module's docstrings are accurate. The `autodoc2_packages` setting in `autodocs/conf.py` lists the packages whose code documentation is generated automatically, so keeping docstrings up to date ensures the API reference stays correct. + +Because the READMEs are gathered automatically, you only need to make sure the README exists alongside the module. The build will pick it up and render it in the Modules section. + +By following these steps, you can ensure that your new markdown files and modules are properly integrated into the documentation, which will then be automatically built and made available on Readthedocs. diff --git a/docs/linting.md b/docs/reference/linting.md similarity index 100% rename from docs/linting.md rename to docs/reference/linting.md diff --git a/docs/reference/system_settings.md b/docs/reference/system_settings.md new file mode 100644 index 000000000..354a27840 --- /dev/null +++ b/docs/reference/system_settings.md @@ -0,0 +1,171 @@ +# System Settings + +This page lists every field registered with PMSS for the **Learning Observer +base application**, grouped by the namespace you use in `creds.yaml`. Each +entry includes the YAML path, purpose, default (if any), and the code that +relies on it. Module-specific settings (such as the Writing Observer module) +should be documented alongside their module guides in the reference section. + +Refer back to the [system settings concept](../concepts/system_settings.md) +concept guide for details on how these values are loaded and consumed by the +runtime. + +## Global application keys + +| YAML path | Description | Default | Used in | +| --- | --- | --- | --- | +| `run_mode` | Selects `dev`, `deploy`, or `interactive` runtime profiles to control logging and startup behaviour. | required | [`learning_observer/learning_observer/settings.py`](../../learning_observer/learning_observer/settings.py), [`learning_observer/learning_observer/main.py`](../../learning_observer/learning_observer/main.py) | +| `hostname` | Public host name for OAuth callbacks and secure cookie scopes. Include the port when not using 80/443. | required | [`learning_observer/learning_observer/auth/social_sso.py`](../../learning_observer/learning_observer/auth/social_sso.py), [`learning_observer/learning_observer/webapp_helpers.py`](../../learning_observer/learning_observer/webapp_helpers.py) | +| `protocol` | Protocol (`http` or `https`) that governs cookie security and OAuth redirect URLs. | required | [`learning_observer/learning_observer/auth/social_sso.py`](../../learning_observer/learning_observer/auth/social_sso.py), [`learning_observer/learning_observer/webapp_helpers.py`](../../learning_observer/learning_observer/webapp_helpers.py) | +| `clone_module_git_repos` | Controls whether module git repositories are cloned automatically (`y`), skipped (`n`), or prompted (`prompt`). | `prompt` | [`learning_observer/learning_observer/module_loader.py`](../../learning_observer/learning_observer/module_loader.py) | +| `dangerously_allow_insecure_dags` | Enables uploading arbitrary dashboard DAG definitions for development experiments. Leave disabled in production. | `false` | [`learning_observer/learning_observer/dashboard.py`](../../learning_observer/learning_observer/dashboard.py) | +| `fetch_additional_info_from_teacher_on_login` | Starts a background job after Google login to fetch extra teacher documents immediately. | `false` | [`learning_observer/learning_observer/auth/social_sso.py`](../../learning_observer/learning_observer/auth/social_sso.py) | + +### `config` namespace + +| YAML path | Description | Default | Used in | +| --- | --- | --- | --- | +| `config.run_mode` | Mirror of the root `run_mode` so runtime helpers can resolve the value within the `config` namespace. | required | [`learning_observer/learning_observer/main.py`](../../learning_observer/learning_observer/main.py) | +| `config.debug` | List of diagnostic toggles (for example `"tracemalloc"`) that enable extra debugging helpers during development. | `[]` | [`learning_observer/learning_observer/routes.py`](../../learning_observer/learning_observer/routes.py) | + +### `server` namespace + +| YAML path | Description | Default | Used in | +| --- | --- | --- | --- | +| `server.port` | Port that the aiohttp web server binds to. Falling back to an open port in development remains TODO. | `8888` | [`learning_observer/learning_observer/main.py`](../../learning_observer/learning_observer/main.py) | + +### Session management (`aio` namespace) + +| YAML path | Description | Default | Used in | +| --- | --- | --- | --- | +| `aio.session_secret` | Secret used to encrypt and sign aiohttp session cookies. Generate a unique value per deployment. | required | [`learning_observer/learning_observer/webapp_helpers.py`](../../learning_observer/learning_observer/webapp_helpers.py) | +| `aio.session_max_age` | Session lifetime in seconds. | required | [`learning_observer/learning_observer/webapp_helpers.py`](../../learning_observer/learning_observer/webapp_helpers.py) | + +### Dashboard Settings (`dashboard_settings` namespace) + +| YAML path | Description | Default | Used in | +| --- | --- | --- | --- | +| `dashboard_settings.logging_enabled` | Determine if we should log dashboard sessions. | `false` | [`learning_observer/learning_observer/dashboard.py`](../../learning_observer/learning_observer/dashboard.py) | + +### LMS Integration (`lms_integration` namespace) + +| YAML path | Description | Default | Used in | +| --- | --- | --- | --- | +| `lms_integration.logging_enabled` | Determine if we should log lms integration calls. | `false` | [`learning_observer/learning_observer/log_event.py`](../../learning_observer/learning_observer/log_event.py) | + +### Redis connection (`redis_connection` namespace) + +| YAML path | Description | Default | Used in | +| --- | --- | --- | --- | +| `redis_connection.redis_host` | Hostname for Redis. | `localhost` | [`learning_observer/learning_observer/redis_connection.py`](../../learning_observer/learning_observer/redis_connection.py) | +| `redis_connection.redis_port` | Port for Redis. | `6379` | [`learning_observer/learning_observer/redis_connection.py`](../../learning_observer/learning_observer/redis_connection.py) | +| `redis_connection.redis_password` | Password for Redis (set to `null` when unused). | `null` | [`learning_observer/learning_observer/redis_connection.py`](../../learning_observer/learning_observer/redis_connection.py) | + +### Logging (`logging` namespace) + +| YAML path | Description | Default | Used in | +| --- | --- | --- | --- | +| `logging.debug_log_level` | Chooses how verbose diagnostic logging should be (`NONE`, `SIMPLE`, or `EXTENDED`). | inherits environment default | [`learning_observer/learning_observer/log_event.py`](../../learning_observer/learning_observer/log_event.py) | +| `logging.debug_log_destinations` | Ordered list of destinations that should receive debug logs (`CONSOLE`, `FILE`). | `['CONSOLE', 'FILE']` in development | [`learning_observer/learning_observer/log_event.py`](../../learning_observer/learning_observer/log_event.py) | + +### Key-value stores (`kvs` namespace) + +| YAML path | Description | Default | Used in | +| --- | --- | --- | --- | +| `kvs.default.type` | Backend used for the default key-value store (`stub`, `redis`, `redis_ephemeral`, or `filesystem`). | required | [`learning_observer/learning_observer/kvs.py`](../../learning_observer/learning_observer/kvs.py) | +| `kvs.default.expiry` | Expiration (seconds) required when `type` is `redis_ephemeral`. | required for `redis_ephemeral` | [`learning_observer/learning_observer/kvs.py`](../../learning_observer/learning_observer/kvs.py) | +| `kvs.default.path` | Filesystem directory for persisted values when `type` is `filesystem`; supports optional `subdirs`. | required for `filesystem` | [`learning_observer/learning_observer/kvs.py`](../../learning_observer/learning_observer/kvs.py) | +| `kvs..type` | Additional named KVS pools that modules can request by name. Same accepted values as `kvs.default.type`. | optional | [`learning_observer/learning_observer/kvs.py`](../../learning_observer/learning_observer/kvs.py) | +| `kvs..expiry` | Per-store expiration when the named pool uses the `redis_ephemeral` backend. | required for `redis_ephemeral` pools | [`learning_observer/learning_observer/kvs.py`](../../learning_observer/learning_observer/kvs.py) | +| `kvs..path` | Filesystem location (and optional `subdirs`) for the named store when using the `filesystem` backend. | required for `filesystem` pools | [`learning_observer/learning_observer/kvs.py`](../../learning_observer/learning_observer/kvs.py) | + +### Roster ingestion (`roster_data` namespace) + +| YAML path | Description | Default | Used in | +| --- | --- | --- | --- | +| `roster_data.source` | Selects the roster provider: `filesystem`, `google`, `schoology`, `x-canvas`, `all`, or `test`. | required | [`learning_observer/learning_observer/rosters.py`](../../learning_observer/learning_observer/rosters.py) | + +### Core authentication flags (`auth`) + +| YAML path | Description | Default | Used in | +| --- | --- | --- | --- | +| `auth.password_file` | Enables password authentication using the specified credentials file (generated with `lo_passwd.py`). | disabled | [`learning_observer/learning_observer/routes.py`](../../learning_observer/learning_observer/routes.py) | +| `auth.test_case_insecure` | When `true` or configured with overrides, short-circuits authentication for automated tests. | `false` | [`learning_observer/learning_observer/auth/handlers.py`](../../learning_observer/learning_observer/auth/handlers.py) | +| `auth.demo_insecure` | Demo mode that fabricates user sessions for walkthroughs; may be a boolean or a mapping with a fixed `name`. | `false` | [`learning_observer/learning_observer/auth/handlers.py`](../../learning_observer/learning_observer/auth/handlers.py) | + +#### Google OAuth (`auth.google_oauth.web`) + +| YAML path | Description | Default | Used in | +| --- | --- | --- | --- | +| `auth.google_oauth.web.client_id` | Google OAuth client ID. | required | [`learning_observer/learning_observer/auth/social_sso.py`](../../learning_observer/learning_observer/auth/social_sso.py) | +| `auth.google_oauth.web.client_secret` | Google OAuth client secret. | required | [`learning_observer/learning_observer/auth/social_sso.py`](../../learning_observer/learning_observer/auth/social_sso.py) | + +#### LTI providers (`auth.lti.`) + +| YAML path | Description | Default | Used in | +| --- | --- | --- | --- | +| `auth.lti..auth_uri` | LMS endpoint that initiates the OIDC login flow. | required | [`learning_observer/learning_observer/auth/lti_sso.py`](../../learning_observer/learning_observer/auth/lti_sso.py) | +| `auth.lti..jwks_uri` | JWKS endpoint used to validate LMS ID tokens. | required | [`learning_observer/learning_observer/auth/lti_sso.py`](../../learning_observer/learning_observer/auth/lti_sso.py) | +| `auth.lti..token_uri` | OAuth token endpoint for the LMS. | required | [`learning_observer/learning_observer/auth/lti_sso.py`](../../learning_observer/learning_observer/auth/lti_sso.py) | +| `auth.lti..redirect_uri` | Callback URL inside Learning Observer. | required | [`learning_observer/learning_observer/auth/lti_sso.py`](../../learning_observer/learning_observer/auth/lti_sso.py) | +| `auth.lti..private_key_path` | Location of the private key used to sign LTI messages. | required | [`learning_observer/learning_observer/auth/lti_sso.py`](../../learning_observer/learning_observer/auth/lti_sso.py) | +| `auth.lti..api_domain` | Base Canvas API domain for roster and assignment cleaners (Canvas-specific). | required | [`learning_observer/learning_observer/integrations/canvas.py`](../../learning_observer/learning_observer/integrations/canvas.py) | + +#### HTTP Basic authentication (`auth.http_basic`) + +| YAML path | Description | Default | Used in | +| --- | --- | --- | --- | +| `auth.http_basic.password_file` | Credential store used when Learning Observer verifies HTTP basic logins directly. Set to `null` when nginx handles auth. | required when present | [`learning_observer/learning_observer/routes.py`](../../learning_observer/learning_observer/routes.py), [`learning_observer/learning_observer/auth/http_basic.py`](../../learning_observer/learning_observer/auth/http_basic.py) | +| `auth.http_basic.login_page_enabled` | Enables the built-in login endpoint that proxies browser-provided credentials into a session. | `false` | [`learning_observer/learning_observer/auth/http_basic.py`](../../learning_observer/learning_observer/auth/http_basic.py) | +| `auth.http_basic.full_site_auth` | Marks that nginx protects every route so middleware should expect auth headers on each request. | `false` | [`learning_observer/learning_observer/auth/http_basic.py`](../../learning_observer/learning_observer/auth/http_basic.py) | +| `auth.http_basic.delegate_nginx_auth` | Indicates that nginx performs the credential check; Learning Observer only trusts forwarded headers. | `false` | [`learning_observer/learning_observer/auth/http_basic.py`](../../learning_observer/learning_observer/auth/http_basic.py) | + +### Background services and feature flags + +| YAML path | Description | Default | Used in | +| --- | --- | --- | --- | +| `feature_flags.*` | Optional feature toggles (`uvloop`, `watchdog`, `canvas_routes`, etc.). `True` enables a flag and allows nested configuration. | varies | [`learning_observer/learning_observer/settings.py`](../../learning_observer/learning_observer/settings.py) | + +### Event stream authentication (`event_auth` namespace) + +| YAML path | Description | Default | Used in | +| --- | --- | --- | --- | +| `event_auth.local_storage.userfile` | Path (under the data directory) listing device tokens that should be treated as authenticated. | required for `local_storage` | [`learning_observer/learning_observer/auth/events.py`](../../learning_observer/learning_observer/auth/events.py) | +| `event_auth.local_storage.allow_guest` | Permits unauthenticated fallbacks when the Chromebook or extension token is unknown. | `false` | [`learning_observer/learning_observer/auth/events.py`](../../learning_observer/learning_observer/auth/events.py) | +| `event_auth.http_basic` | Presence enables nginx-backed HTTP basic auth for event streams. No additional keys are required. | disabled | [`learning_observer/learning_observer/auth/events.py`](../../learning_observer/learning_observer/auth/events.py) | +| `event_auth.guest` | Enables guest sessions that mint random IDs for browsers without credentials. | disabled | [`learning_observer/learning_observer/auth/events.py`](../../learning_observer/learning_observer/auth/events.py) | +| `event_auth.hash_identify` | Enables hash-based identity hints (e.g., `/page#user=alice`) for one-off experiments. | disabled | [`learning_observer/learning_observer/auth/events.py`](../../learning_observer/learning_observer/auth/events.py) | +| `event_auth.testcase_auth` | Allows automated tests to tag events with deterministic user IDs. | disabled | [`learning_observer/learning_observer/auth/events.py`](../../learning_observer/learning_observer/auth/events.py) | + +### Incoming events blacklist (`incoming_events` namespace) + +| YAML path | Description | Default | Used in | +| --- | --- | --- | --- | +| `incoming_events.blacklist_event_action` | Action to take for incoming events (`TRANSMIT`, `MAINTAIN`, or `DROP`) when blacklist rules match. | `TRANSMIT` | [`learning_observer/learning_observer/blacklist.py`](../../learning_observer/learning_observer/blacklist.py) | +| `incoming_events.blacklist_time_limit` | Time limit to return when `blacklist_event_action` is `MAINTAIN` (`PERMANENT`, `MINUTES`, or `DAYS`). | `MINUTES` | [`learning_observer/learning_observer/blacklist.py`](../../learning_observer/learning_observer/blacklist.py) | + +## Modules + +Modules can define their own PMSS namespaces under `modules.`. +Consult each module's reference guide for those settings - for example, the +Writing Observer module documents its configuration alongside the rest of its +module documentation. + +## Example snippet + +```yaml +run_mode: dev +hostname: localhost:8888 +protocol: http +config: + run_mode: dev +server: + port: 8888 +aio: + session_secret: "replace-me" + session_max_age: 3600 +redis_connection: + redis_host: localhost + redis_port: 6379 + redis_password: null +``` diff --git a/docs/testing.md b/docs/reference/testing.md similarity index 52% rename from docs/testing.md rename to docs/reference/testing.md index 80f2aa46f..1c4d1e99b 100644 --- a/docs/testing.md +++ b/docs/reference/testing.md @@ -2,6 +2,54 @@ Testing is an essential part of software development to ensure the reliability and stability of your code. In the Learning Observer project, we currently support Python testing, using the pytest framework. This document provides an overview of how the testing framework is used in the project. +## Preparing a Module for Testing + +The following workflow is a **HACK** while we work toward better testing infrastructure. +Each module should define a `test.sh` at the root of the module's directory. This script should define how to run the tests for the module. + +### How Testing Ought to be + +We want to have a finite set of testing infrastructure. The types of tests we ought to support are + +- Client / dashboard tests + - Basic: we're not getting 500 errors on any pages (which can be semi-automatic from routes) + - Advanced: things work as expected. +- Python unit tests +- Server-side integration tests +- Data pipeline tests + - The very explicit models, like reducers, are designed to support this + - Also, query language, etc. + - This is related to replicability, which is important in science and in debugging in ways we discussed + +We should have an opinionated, recommended way to do things, included in the example template package. + +## Running Tests + +The Makefile offers a `test` command which calls an overall `test.sh` script. This script takes the passed in module paths and runs each of their respective `test.sh` scripts. To run via the Makefile, use + +```bash +make test PKG=path/to/module +# OR to test multiple packages at once +make test PKG="modules/writing_observer learning_observer" +``` + +## GitHub Actions for Automated Testing + +To automate testing in your project, you can use GitHub Actions. This allows you to run tests automatically when you push changes to your repository. The provided GitHub Action YAML file will iterate over the defined modules and + +1. Check for any changes within that module. If no changes are found, proceed to next module in list. +1. Install Learning Observer - `make install` +1. Install the module itself - `pip install path/to/module` +1. Run tests - `make test PKG=path/to/module` + +To add an additional module to this testing pipeline, add its path to the list of packages under the matrix strategy in `.github/workflows/test.yml`, like so: + +```yml + strategy: + matrix: + package: ['learning_observer/', 'modules/writing_observer/', 'path/to/new/module/'] +``` + ## Python Testing We use the [pytest framework](https://docs.pytest.org/) for Python testing. Pytest is a popular testing framework that simplifies writing and running test cases. It provides powerful features, such as fixtures, parametrized tests, and plugins, to help you test your code efficiently and effectively. @@ -23,7 +71,7 @@ To write test cases for your Python code, follow these guidelines: 2. For each file or functionality you want to test, create a separate test file with a name in the format `test_.py` or `test_.py`. 3. Inside each test file, write test functions that test specific aspects of your code. Start each test function's name with `test_` to ensure that pytest can discover and run the test. -### Running Tests +### Running PyTests Once you have written your test cases, you can run them using the pytest command: @@ -37,18 +85,6 @@ For example, to run tests for the `wo_highlight_dashboard` module, you would run pytest modules/wo_highlight_dashboard/ ``` -### GitHub Actions for Automated Testing - -To automate testing in your project, you can use GitHub Actions. This allows you to run tests automatically when you push changes to your repository. The provided GitHub Action YAML file sets up a testing environment for the specified Python versions, installs the necessary dependencies, and runs the tests using pytest. You can customize this file to add or modify steps as needed for your project. - -If your tests should be automated make sure to provide them as a parameter in the `.github/workflows/pytest.yml`. While we work on cleaning up the prior testing framework, we only run select tests. - -```yaml - - name: Unit testing with pytest - run: | - pytest modules/wo_highlight_dashboard/ -``` - ## Other testing Not yet implemented. diff --git a/docs/reference/versioning.md b/docs/reference/versioning.md new file mode 100644 index 000000000..f0efb4d87 --- /dev/null +++ b/docs/reference/versioning.md @@ -0,0 +1,47 @@ +# Versioning + +## Tracking Versions + +Each module should include a `VERSION` file to specify the module's current version. This version is referenced in the module's setup configuration. Typically, this is done in the `setup.cfg` file as follows: + +```cfg +# setup.cfg +[metadata] +name = Module name +version = file:VERSION +``` + +## Version Format + +The version format is split into 2 pieces, the semantic version and the local version string separated by a `+`. The semantic version is primarily used for uploading to PyPI and resolving dependency conflicts. The local version string contains additional metadata about when the code was last modified and the commit it came from. The versions should follow the following format: + +```sh +major.minor.patch+%Y.%m.%dT%H.%M.%S.%3NZ.abc123.branch.name +``` + +A example version string might look like this: + +```sh +0.1.0+2024.12.16T16.42.38.637Z.abc123.branch.name +``` + +## Bumping Versions + +The local version strings that contain metadata are automatically managed using a Git pre-commit hook. Before each commit is made, the appropriate `VERSION` is updated to reflect the current time and commit. + +Bumping the semantic version is done manually. + +## Setting Up the Pre-Commit Hook + +To enable automatic version bumping, use the `install-pre-commit-hook` command provided in the `Makefile`. This command handles copying the pre-commit hook script into the appropriate location and making it executable. Run the following command: + +```bash +make install-pre-commit-hook +``` + +With this setup, every commit will automatically update the version for you. + +## Notes + +- Ensure that `setup.cfg` properly references the `VERSION` file to avoid version mismatches. +- Avoid manually editing the `VERSION` file; rely on the pre-commit hook for consistency. diff --git a/docs/tutorials/cookiecutter-module.md b/docs/tutorials/cookiecutter-module.md new file mode 100644 index 000000000..ad2639cf9 --- /dev/null +++ b/docs/tutorials/cookiecutter-module.md @@ -0,0 +1,102 @@ +# Tutorial: Build and Run a Module from the Cookiecutter Template + +This tutorial walks through generating a new Learning Observer module from the cookiecutter template, installing it, and seeing it run inside the system. We assume you already have the development environment installed and can start the stack with `make run`. + +## 1. Prepare your environment + +1. Activate the Python environment you use for Learning Observer development. +2. Make sure the `cookiecutter` command is available. If you have not installed it yet, run: + + ```bash + pip install cookiecutter + ``` + +3. From the repository root, change into the `modules/` directory: + + ```bash + cd modules/ + ``` + +## 2. Generate a module from the template + +1. Run cookiecutter against the Learning Observer template: + + ```bash + cookiecutter lo_template_module/ + ``` + +2. Fill in the prompts with information for your module. At minimum you will supply: + * **project_name** – Human-friendly title that appears in the UI. + * **project_short_description** – A one-line summary shown with the module. + * **reducer** – The name of the default reducer function the template creates. +3. Cookiecutter writes a new module directory inside `modules/`. If you entered `Revision Counter` as the name, the generated package would live in `modules/revision_counter/`. + +The template scaffolds all of the pieces Learning Observer expects, including a reducer, Dash layout, entry points, and packaging configuration so the module can be installed like any other Python package. You'll find these generated files within `modules//`, including `module.py`, `reducers.py`, the Dash dashboard, and the accompanying `setup.cfg` that defines how the package is exposed. + +## 3. Explore the generated code (optional but recommended) + +1. Inspect `module.py` to see the metadata exposed to Learning Observer, the default execution DAG, reducer list, and Dash page configuration. The file lives in `modules///module.py`. +2. Review `reducers.py` to understand how the template reducer counts events and where to extend it for your own analytics. You can find it next to `module.py` in the generated package directory. +3. Open `dash_dashboard.py` to learn how the generated layout publishes the reducer output on a Dash page. Use this as a starting point for your own visualizations. + + While you examine `module.py`, note that each reducer entry includes a + `context` string. That value must match the `source` identifier the + event producer sends on every message (for example the Google Docs + extension reports `org.mitros.writing_analytics`). The stream + analytics loader uses the pairing to dispatch events to the correct + reducers. If you change the `context` in your module, be sure to + update the emitting client so its `source` field matches—otherwise the + reducer will never receive the events you expect. + +## 4. Install the module in editable mode + +Installing the module registers its entry point so Learning Observer can discover it. From the repository root run: + +```bash +pip install -e modules// +``` + +Replace `` with the directory created in step 2 (for example, `modules/revision_counter/`). The template’s `setup.cfg` already declares the `lo_modules` entry point that exposes `module.py` to the system, so no additional registration is required. + +## 5. Start Learning Observer + +1. Return to a terminal at the repository root. +2. Launch the stack: + + ```bash + make run + ``` + +3. Wait for the services to come up, then open `http://localhost:8888/` in a browser. Your new module should appear on the home screen because the template registers it as a course dashboard card by default inside `module.py`. + + The generated dashboard expects URL hash parameters (for example + `#course_id=`) so the client-side websocket helper + knows which course to query. Navigating through the home page card + fills these values in automatically. If you copy or bookmark the + dashboard URL, make sure to keep the hash segment - without it the + websocket connection will never send a query and the page will stay + blank. + +## 6. Stream sample data to exercise the module + +To see live data, send synthetic writing events using the helper script. + +1. Open a second terminal with your environment activated. +2. Run the streaming script from the repository root: + + ```bash + python scripts/stream_writing.py --streams=5 + ``` + + This sends five concurrent simulated students worth of Google Docs events to the default local endpoint using the helper found at `scripts/stream_writing.py`. +3. Refresh your browser. The default reducer counts incoming events, so you should see the totals increase on the Dash page included with the template. Both the reducer and the dashboard live alongside `module.py` in your generated package. + +A common cause for missing data is having 0 reducer output available in storage. Check your [Key Value Store](../concepts/key_value_store.md) settings to assess how the reducer output is being stored. + +## 7. Next steps + +* Customize the reducer in `reducers.py` to compute the metrics your dashboard requires. See the [reducers concept overview](../concepts/reducers.md) for guidance. +* Expand the Dash layout to visualize your new metrics. The [dashboard how-to](../how-to/dashboards.md) walks through available UI patterns. +* Add additional reducers, exports, or pages to `module.py` as your module grows. Refer back to the [communication protocol concepts](../concepts/communication_protocol.md) when defining new DAG exports. + +With these steps you have a working, template-based module running end-to-end inside Learning Observer. From here you can iterate on analytics and UI changes quickly by editing the generated files and reloading the server. diff --git a/docs/tutorials/install.md b/docs/tutorials/install.md new file mode 100644 index 000000000..9a5c177ce --- /dev/null +++ b/docs/tutorials/install.md @@ -0,0 +1,125 @@ +# Tutorial: Install + +Use this tutorial to get the Learning Observer running on your machine. It walks you through the exact commands to run and the order to run them in, so you can follow along step by step. + +As you set things up, keep in mind that Learning Observer functions as an application platform: the core `learning_observer` package starts the services and loads modules, and each module contributes dashboards, reducers, or other features that run on top of that core. + +## Before you begin + +Make sure your computer meets these requirements: + +1. **Operating system** – A Unix-style system works best. We regularly test on Ubuntu. macOS generally works as well. Windows users should install the project inside [Windows Subsystem for Linux (WSL)](../workshop/wsl-install.md) before continuing. +2. **Python** – Install Python 3.10 or 3.11 (any version newer than 3.9 is expected to work). +3. **Package manager (recommended)** – Have a virtual environment tool ready. We prefer [`virtualenvwrapper`](https://pypi.org/project/virtualenvwrapper/), but you can use `python -m venv`, Conda, or another tool you like. +4. **Optional tools** – + - [Valkey](https://valkey.io/) or Redis as a key–value store if you plan to run production-style deployments (this tutorial uses on-disk storage instead). + - Docker 26.1 if you want to experiment with the container-based workflow. The steps below focus on the native installation. + +Have two terminal windows or tabs open. We will run the server in one and use the other for helper scripts. + +## Step 1 – Download the project + +1. Open a terminal and clone the repository: + + ```bash + git clone https://github.com/ArgLab/writing_observer.git lo_tutorial + ``` + + If you have an SSH key configured with GitHub, you can use: + + ```bash + git clone git@github.com:ArgLab/writing_observer.git lo_tutorial + ``` + +2. Change into the new directory: + + ```bash + cd lo_tutorial/ + ``` + + All commands that follow run from this repository root unless the tutorial notes otherwise. + +## Step 2 – Create and activate a Python environment + +Choose one of the options below to create an isolated environment for the tutorial. + +*With `virtualenvwrapper`:* + +```bash +mkvirtualenv lo_env +workon lo_env +``` + +*With `venv` (built into Python):* + +```bash +python -m venv lo_env +source lo_env/bin/activate +``` + +Verify that the shell prompt shows the environment name before continuing. + +```bash +(lo_env) user@pc:~/lo_tutorial$ +``` + +## Step 3 – Install Python dependencies + +1. Make sure `pip` itself is up to date (optional but helpful): + + ```bash + pip install --upgrade pip + ``` + +2. Install all project requirements: + + ```bash + make install + ``` + + This command downloads Python packages and builds local assets. Depending on your network speed, it can take a few minutes. + +## Step 4 – Apply the workshop configuration + +The project ships with an example configuration tailored for workshops. Copy it into place so the application starts with sensible defaults such as file-based storage and relaxed authentication. + +```bash +cp learning_observer/learning_observer/creds.yaml.workshop learning_observer/creds.yaml +``` + +If you are curious about the changes, compare it with the example file: + +```bash +diff -u learning_observer/learning_observer/creds.yaml.example learning_observer/creds.yaml +``` + +## Step 5 – Start the Learning Observer + +1. Launch the development server: + + ```bash + make run + ``` + +2. The first run performs several setup tasks (such as generating role files), so it may exit after downloading dependencies. When the command finishes, run it again: + + ```bash + make run + ``` + + Repeat until the command reports that the system is ready and stays running. + +## Step 6 – Verify everything worked + +Once the server is running, open a browser and go to one of the following URLs: + +- `http://localhost:8888/` +- `http://0.0.0.0:8888/` +- `http://127.0.0.1:8888/` + +You should see the Learning Observer dashboard with a list of courses and analytics modules. Because the workshop configuration disables authentication, you can immediately click around and start experimenting. + +## Next steps + +- Explore the [cookiecutter module tutorial](cookiecutter-module.md) to scaffold a package from the template. +- Review [system settings concepts](../concepts/system_settings.md) before deploying beyond a simple setup. diff --git a/docs/workshop.md b/docs/tutorials/workshop.md similarity index 93% rename from docs/workshop.md rename to docs/tutorials/workshop.md index e32f6fdd8..6fa12feed 100644 --- a/docs/workshop.md +++ b/docs/tutorials/workshop.md @@ -48,13 +48,13 @@ If you don't have a way of managing Python virtual environments, or would prefer First make sure you clone the repository: ```bash -git clone https://github.com/ETS-Next-Gen/writing_observer.git lo_workshop +git clone https://github.com/ArgLab/writing_observer.git lo_workshop ``` **or**, if you have a github account properly configured with ssh: ```bash -git clone git@github.com:ETS-Next-Gen/writing_observer.git lo_workshop +git clone git@github.com:ArgLab/writing_observer.git lo_workshop ``` ```bash @@ -67,11 +67,20 @@ NOTE: All future commands should be ran starting from the repository's root dire Make sure you are on a fresh virtual environment. In `virtualenvwrapper`: +You can either run this + ```bash mkvirtualenv lo_workshop workon lo_workshop ``` +or run this to set up the virtual environment + +```bash +python -m venv lo_workshop +source lo_workshop/bin/activate +``` + Then run the install command: ```bash @@ -149,7 +158,7 @@ We can stream data into the system to simulate a classroom of students working. ```bash workon lo_workshop -python learning_observer/util/stream_writing.py --streams=10 +python scripts/stream_writing.py --streams=10 ``` To avoid cache issues, we recommend this order: @@ -164,7 +173,7 @@ This will generate events for 10 students typing a set of loremipsum texts and s You can look at the format of these specific events in the `/learning_observer/learning_observer/logs/` directory. In the test system, we simply put events into log files, but we are gradually moving towards a more sophisticated, open-science, family-rights oriented data store (shown at the bottom of [this document](system_design.md). This is theoretically interesting, since it gives a cryptographically-verifiable way to audit what data was created and what analyses ran. -There are several good standards for [event formats](events.md), and to integrate learning data, we will need to support them all. Most of these have converged on a line of JSON per event, but the specifics are format-specific. We are including [some code](https://github.com/ETS-Next-Gen/writing_observer/blob/master/modules/lo_event/lo_event/xapi.cjs) to help support the major ones. However, the events here are somewhat bound to how Google Docs thinks about documents. +There are several good standards for [event formats](events.md), and to integrate learning data, we will need to support them all. Most of these have converged on a line of JSON per event, but the specifics are format-specific. We are including [some code](https://github.com/ArgLab/writing_observer/blob/master/modules/lo_event/lo_event/xapi.cjs) to help support the major ones. However, the events here are somewhat bound to how Google Docs thinks about documents. ## module.py @@ -242,7 +251,7 @@ In `module.py`, you see this line: EXECUTION_DAG = learning_observer.communication_protocol.util.generate_base_dag_for_student_reducer('student_event_counter', 'my_event_module') ``` -This is shorthand for a common query which JOINs the class roster with the output of the reducers. The Python code for the query itself is [here](https://github.com/ETS-Next-Gen/writing_observer/blob/berickson/workshop/learning_observer/learning_observer/communication_protocol/util.py#L58), but the jist of the code is: +This is shorthand for a common query which JOINs the class roster with the output of the reducers. The Python code for the query itself is [here](https://github.com/ArgLab/writing_observer/blob/berickson/workshop/learning_observer/learning_observer/communication_protocol/util.py#L58), but the jist of the code is: ```python 'roster': course_roster(runtime=q.parameter('runtime'), course_id=q.parameter("course_id", required=True)), @@ -317,11 +326,11 @@ Once set up, the development workflow here is rather fast, since the UX updates ### `lo_event` -Our data streaming library is [lo_event](https://github.com/ETS-Next-Gen/writing_observer/tree/master/modules/lo_event). This library is designed to stream events (typically) from a JavaScript client, and handles all of the complexity of things like persistance, queuing, and retries for you. Cookiecutter cde, but it should save you a bunch of time. +Our data streaming library is [lo_event](https://github.com/ArgLab/writing_observer/tree/master/modules/lo_event). This library is designed to stream events (typically) from a JavaScript client, and handles all of the complexity of things like persistance, queuing, and retries for you. Cookiecutter cde, but it should save you a bunch of time. ### `lo_assess` -Much more interesting, in development (and probably in need of renaming) is [`lo_assess`](https://github.com/ETS-Next-Gen/writing_observer/tree/pmitros/loevent-v2/modules/lo_event/lo_event/lo_assess). +Much more interesting, in development (and probably in need of renaming) is [`lo_assess`](https://github.com/ArgLab/writing_observer/tree/pmitros/loevent-v2/modules/lo_event/lo_event/lo_assess). There is an XML format (based on edX OLX, which is in turn based on LON-CAPA XML) for creating interactives. diff --git a/docs/workshop_creds.md b/docs/tutorials/workshop_creds.md similarity index 83% rename from docs/workshop_creds.md rename to docs/tutorials/workshop_creds.md index 9cf605d56..7bfad2f2a 100644 --- a/docs/workshop_creds.md +++ b/docs/tutorials/workshop_creds.md @@ -63,11 +63,12 @@ The platform expects both of these files to exist under `learning_observer/learn ### passwd.lo -Each install of the system needs an admin password file associated with it. The `learning_observer/util/lo_passwd.py` file can be used to generate this password file. This does not have to be done in the same virtual environment as the main server. If you are using Docker, just create a local virtual environment to run this command. +Each install of the system needs an admin password file associated with it. The `scripts/lo_passwd.py` file can be used to generate this password file. This does not have to be done in the same virtual environment as the main server. If you are using Docker, just create a local virtual environment to run this command. ```bash -cd learning_observer/ -python util/lo_passwd.py --username admin --password supersecureadminpassword --filename passwd.lo +python scripts/lo_passwd.py --username admin --password supersecureadminpassword --filename learning_observer/passwd.lo ``` +Note that Learning Observer expects the file to be placed in the `learning_observer/` directory, similar to `creds.yaml`. + Depending on how the `creds.yaml` authorization settings are configured, you may be required to use the password you create. diff --git a/extension/extension/manifest.json b/extension/extension/manifest.json deleted file mode 100644 index 0ebb21523..000000000 --- a/extension/extension/manifest.json +++ /dev/null @@ -1,46 +0,0 @@ -{ - "author": "Piotr Mitros", - "manifest_version": 3, - "name": "Writing Process", - "homepage_url": "https://github.com/ETS-Next-Gen/writing_observer", - "incognito": "not_allowed", - "offline_enabled": true, - "version": "1.0.0.2", - "description": "Tracks writing in Google Docs, and provides nifty insights to you and your teachers!", - "action": { - "default_title": "Writing Process", - "default_popup": "pages/settings.html", - "default_icon": { - "48": "icons/lousy-fountain-pen-48.png" - } - }, - "content_scripts": [{ - "matches": ["*://docs.google.com/document/*"], - "js": ["3rdparty/sha256.js", "writing_common.js", "writing.js"] - }], - "web_accessible_resources": [{ - "resources": ["inject.js"], - "matches": ["*://docs.google.com/*"], - "use_dynamic_url": true - }], - "background": { - "service_worker": "service_worker.js" - }, - "permissions": [ - "webRequest", - "identity", - "identity.email", - "storage", - "scripting", - "activeTab" - ], - "host_permissions": [ - "*://docs.google.com/document/*" - ], - "icons": { - "48": "icons/lousy-fountain-pen-48.png" - }, - "options_ui": { - "page": "pages/options.html" - } -} diff --git a/extension/extension/wo_front_end.png b/extension/extension/wo_front_end.png deleted file mode 100644 index 9b6e33a62..000000000 Binary files a/extension/extension/wo_front_end.png and /dev/null differ diff --git a/extension/writing-process/.gitignore b/extension/writing-process/.gitignore index 9a7d305e4..5905017c8 100644 --- a/extension/writing-process/.gitignore +++ b/extension/writing-process/.gitignore @@ -1,3 +1,5 @@ dist/ node_modules/ **/*.bundle.js* +public/ +release.zip diff --git a/extension/writing-process/package.json b/extension/writing-process/package.json index b789a11c1..d1bb950f3 100644 --- a/extension/writing-process/package.json +++ b/extension/writing-process/package.json @@ -6,7 +6,7 @@ "author": "Piotr Mitros, Bradley Erickson", "repository": { "type": "git", - "url": "https://github.com/ETS-Next-Gen/writing_observer/tree/master/extension/writing-process" + "url": "https://github.com/ArgLab/writing_observer/tree/master/extension/writing-process" }, "scripts": { "ext:start": "xt-build -e dev -w", diff --git a/extension/writing-process/src/background.js b/extension/writing-process/src/background.js index aa569cfed..058232fb2 100644 --- a/extension/writing-process/src/background.js +++ b/extension/writing-process/src/background.js @@ -2,22 +2,17 @@ Background script. This works across all of Google Chrome. */ -// Do not save debug requests. We flip this frequently. Perhaps this -// should be a cookie or browser.storage? -var RAW_DEBUG = false; - -/* This variable must be manually updated to specify the server that - * the data will be sent to. -*/ -var WEBSOCKET_SERVER_URL = "wss://learning-observer.org/wsapi/in/"; - -import { googledocs_id_from_url } from './writing_common'; - +import { CONFIG } from "./service_worker_config.js"; +import { googledocs_id_from_url, googledocs_tab_id_from_url } from './writing_common'; import * as loEvent from 'lo_event/lo_event/lo_event.js'; import * as loEventDebug from 'lo_event/lo_event/debugLog.js'; import { websocketLogger } from 'lo_event/lo_event/websocketLogger.js'; import { consoleLogger } from 'lo_event/lo_event/consoleLogger.js'; -import * as loEventUtils from 'lo_event/lo_event/util.js'; +import { browserInfo } from 'lo_event/lo_event/metadata/browserinfo.js'; +import { chromeAuth } from 'lo_event/lo_event/metadata/chromeauth.js'; +import { localStorageInfo, sessionStorageInfo } from 'lo_event/lo_event/metadata/storage.js'; + +const { RAW_DEBUG, WEBSOCKET_SERVER_URL } = CONFIG; // We would like to support fetching the websocket server from storage @@ -26,22 +21,53 @@ import * as loEventUtils from 'lo_event/lo_event/util.js'; // } /* and other async logic */); // websocketLogger( callback ); +// Track which tabs currently have an active content script and the state of +// our logger so that we only initialize logging when needed. +const activeContentTabs = new Set(); +let loEventActive = false; +let loggers = []; +const manifestVersion = chrome.runtime.getManifest().version; + // We are not sure if this should be done within `websocketLogger()`'s `init` // or one level up. -const loggers = [ - consoleLogger(), - websocketLogger(WEBSOCKET_SERVER_URL) -] +function startLogger () { + if (loEventActive) return; + loggers = [ + consoleLogger(), + websocketLogger(WEBSOCKET_SERVER_URL) + ]; + loEvent.init( + 'org.mitros.writing_analytics', + manifestVersion, + loggers, + { + debugLevel: loEventDebug.LEVEL.SIMPLE, + // TODO document what we have currently and what we want + metadata: [ + browserInfo(), + chromeAuth(), + localStorageInfo(), + sessionStorageInfo(), + ] + } + ); + loEvent.go(); + loEventActive = true; + loEvent.logEvent('extension_loaded', {}); + logFromServiceWorker('Extension loaded'); +} -loEvent.init('org.mitros.writing_analytics', '0.01', loggers, loEventDebug.LEVEL.SIMPLE); -loEvent.setFieldSet([loEventUtils.getBrowserInfo(), loEventUtils.fetchDebuggingIdentifier()]); -loEvent.go(); +function stopLogger () { + if (!loEventActive) return; + loEvent.logEvent('terminate', {}); + loEventActive = false; +} // Function to serve as replacement for // chrome.extension.getBackgroundPage().console.log(event); because it is not allowed in V3 // It logs the event to the console for debugging. function logFromServiceWorker(event) { - console.log(event); + console.log(event); } function this_a_google_docs_save(request) { @@ -55,7 +81,7 @@ function this_a_google_docs_save(request) { went from a conservative regexp to a liberal one. We should confirm this never catches extra requests, though. */ - if(request.url.match(/.*:\/\/docs\.google\.com\/document\/(.*)\/save/i)) { + if (request.url.match(/.*:\/\/docs\.google\.com\/document\/(.*)\/save/i)) { return true; } return false; @@ -71,7 +97,7 @@ function this_a_google_docs_bind(request) { https://stackoverflow.com/questions/6831916/is-it-possible-to-monitor-http-traffic-in-chrome-using-an-extension#6832018 */ - if(request.url.match(/.*:\/\/docs\.google\.com\/document\/(.*)\/bind/i)) { + if (request.url.match(/.*:\/\/docs\.google\.com\/document\/(.*)\/bind/i)) { return true; } return false; @@ -92,10 +118,29 @@ chrome.storage.sync.get(['process_server'], function(result) { // Listen for the keystroke messages from the page script and forward to the server. chrome.runtime.onMessage.addListener( - function(request, sender, sendResponse) { - //chrome.extension.getBackgroundPage().console.log("Got message"); - //chrome.extension.getBackgroundPage().console.log(request); - //console.log(sender); + function (request, sender, sendResponse) { + // Lifecycle messages from content scripts manage the logger state + if (request?.type === 'content_script_ready') { + if (sender.tab?.id !== undefined) { + activeContentTabs.add(sender.tab.id); + if (!loEventActive) { + startLogger(); + } + } + return; + } else if (request?.type === 'content_script_unloading') { + if (sender.tab?.id !== undefined) { + activeContentTabs.delete(sender.tab.id); + if (activeContentTabs.size === 0) { + stopLogger(); + } + } + return; + } + // Forward analytics events only when the logger is active + if (!loEventActive) { + return; + } request['wa_source'] = 'client_page'; loEvent.logEvent(request['event'], request); } @@ -128,31 +173,36 @@ chrome.webRequest.onBeforeRequest.addListener( especially new pages. They do inject a lot of noise, though, and from there, being able to easily ignore these is nice. */ - function(request) { + function (request) { + // No logger availaber + if (!loEventActive) { + return; + } //chrome.extension.getBackgroundPage().console.log("Web request url:"+request.url); var formdata = {}; let event; - if(request.requestBody) { + if (request.requestBody) { formdata = request.requestBody.formData; } - if(!formdata) { + if (!formdata) { formdata = {}; } - if(RAW_DEBUG) { + if (RAW_DEBUG) { loEvent.logEvent('raw_http_request', { - 'url': request.url, + 'url': request.url, 'form_data': formdata }); } - if(this_a_google_docs_save(request)){ + if (this_a_google_docs_save(request)) { //chrome.extension.getBackgroundPage().console.log("Google Docs bundles "+request.url); try { /* We should think through which time stamps we should log. These are all subtly different: browser event versus request timestamp, as well as user time zone versus GMT. */ event = { - 'doc_id': googledocs_id_from_url(request.url), + 'doc_id': googledocs_id_from_url(request.url), + 'tab_id': googledocs_tab_id_from_url(request.url), 'url': request.url, 'bundles': JSON.parse(formdata.bundles), 'rev': formdata.rev, @@ -160,12 +210,13 @@ chrome.webRequest.onBeforeRequest.addListener( }; logFromServiceWorker(event); loEvent.logEvent('google_docs_save', event); - } catch(err) { + } catch (err) { /* Oddball events, like text selections. */ event = { - 'doc_id': googledocs_id_from_url(request.url), + 'doc_id': googledocs_id_from_url(request.url), + 'tab_id': googledocs_tab_id_from_url(request.url), 'url': request.url, 'formdata': formdata, 'rev': formdata.rev, @@ -173,10 +224,10 @@ chrome.webRequest.onBeforeRequest.addListener( }; loEvent.logEvent('google_docs_save_extra', event); } - } else if(this_a_google_docs_bind(request)) { + } else if (this_a_google_docs_bind(request)) { logFromServiceWorker(request); } else { - logFromServiceWorker("Not a save or bind: "+request.url); + logFromServiceWorker("Not a save or bind: " + request.url); } }, { urls: ["*://docs.google.com/*"] }, @@ -188,10 +239,10 @@ chrome.webRequest.onBeforeRequest.addListener( chrome.runtime.onInstalled.addListener(reinjectContentScripts); async function reinjectContentScripts() { for (const contentScript of chrome.runtime.getManifest().content_scripts) { - for (const tab of await chrome.tabs.query({url: contentScript.matches})) { + for (const tab of await chrome.tabs.query({ url: contentScript.matches })) { // re-inject content script await chrome.scripting.executeScript({ - target: {tabId: tab.id, allFrames: true}, + target: { tabId: tab.id, allFrames: true }, files: contentScript.js, }, function () { if (!chrome.runtime.lastError) { @@ -201,20 +252,3 @@ async function reinjectContentScripts() { } } } - -// Let the server know we've loaded. -loEvent.logEvent("extension_loaded", {}); - -// Send the server the user info. This might not always be available. -// HACK: this code will be changed pending server side changes to how we -// handle auth and metadata. -loEventUtils.profileInfoWrapper().then((result) => { - if (Object.keys(result).length > 0) { - loEvent.logEvent('chrome_identity', { chrome_identity: result }); - loEvent.logEvent('metadata_finished', {}) - } -}); - -// And let the console know we've loaded -// chrome.extension.getBackgroundPage().console.log("Loaded"); remove -logFromServiceWorker("Loaded"); diff --git a/extension/writing-process/src/inject.js b/extension/writing-process/src/inject.js deleted file mode 100644 index 613429ba3..000000000 --- a/extension/writing-process/src/inject.js +++ /dev/null @@ -1,19 +0,0 @@ -/* - Inject script. This is a web_accessible_resources used to pass the id - of the document as a globally accessible variable to the extension. - It is called by the injectScript function in writing.js to make the result - accessible using an event listener. - - TODO: - * We don't really understand this code. It should be commented - * In particular, why are we using an IIFE (immediately invoked function - expression) rather than just the code? - - If this is a relic, it should be cleaned up. If this has a - reason, it should be documented. -*/ - -(function() { - const result = JSON.stringify(_docs_flag_initialData.info_params.token); - window.postMessage({ from: 'inject.js', data: result }); -})(); diff --git a/extension/writing-process/src/manifest.json b/extension/writing-process/src/manifest.json index 9d26efaa6..945ec7709 100644 --- a/extension/writing-process/src/manifest.json +++ b/extension/writing-process/src/manifest.json @@ -2,7 +2,7 @@ "name": "__MSG_appName__", "short_name": "__MSG_appShortName__", "description": "__MSG_appDescription__", - "homepage_url": "https://github.com/ETS-Next-Gen/writing_observer/tree/master/extension/writing-process", + "homepage_url": "https://github.com/ArgLab/writing_observer/tree/master/extension/writing-process", "incognito": "not_allowed", "version": "1.0.0.2", "version_name": "1.0.0.2", @@ -17,7 +17,8 @@ "storage", "nativeMessaging", "scripting", - "activeTab" + "activeTab", + "tabs" ], "icons": { "48": "assets/lousy-fountain-pen-48.png" @@ -36,11 +37,6 @@ "matches": ["*://docs.google.com/document/*"], "js": ["3rdparty/sha256.js", "writing_common.js", "writing.js"] }], - "web_accessible_resources": [{ - "resources": ["inject.js"], - "matches": ["*://docs.google.com/*"], - "use_dynamic_url": true - }], "host_permissions": [ "*://docs.google.com/document/*" ], diff --git a/extension/writing-process/src/service_worker_config.js b/extension/writing-process/src/service_worker_config.js new file mode 100644 index 000000000..464af0659 --- /dev/null +++ b/extension/writing-process/src/service_worker_config.js @@ -0,0 +1,7 @@ +// service_worker_config.js +export const CONFIG = { + // Flag for logging `raw_http_request` events + RAW_DEBUG: false, + // Learning Observer websocket connection endpoint + WEBSOCKET_SERVER_URL: "wss://learning-observer.org/wsapi/in/", +}; diff --git a/extension/writing-process/src/writing.js b/extension/writing-process/src/writing.js index 653544a28..084affc5e 100644 --- a/extension/writing-process/src/writing.js +++ b/extension/writing-process/src/writing.js @@ -3,13 +3,26 @@ */ /* For debugging purposes: we know the extension is active */ -document.body.style.border = "5px solid blue"; +// document.body.style.border = "1px solid blue"; -import { googledocs_id_from_url, treeget } from './writing_common'; +import { googledocs_id_from_url, googledocs_tab_id_from_url, treeget } from './writing_common'; /* General Utility Functions */ +// Notify the service worker that this content script is active. We also +// provide a hook to let the service worker know when the script is about to +// unload so it can perform any necessary cleanup (for example, shutting down +// loggers when no tabs are active). +if (chrome.runtime?.id !== undefined) { + chrome.runtime.sendMessage({ type: 'content_script_ready' }); + window.addEventListener('beforeunload', () => { + if (chrome.runtime?.id !== undefined) { + chrome.runtime.sendMessage({ type: 'content_script_unloading' }); + } + }); +} + function log_error(error_string) { /* We should send errors to the server, but for now, we @@ -36,8 +49,9 @@ function log_event(event_type, event) { "type": "http://schema.learning-observer.org/writing-observer/", "title": google_docs_title(), "id": doc_id(), + "tab_id": tab_id(), "url": window.location.href, - } + }; event['event'] = event_type; // We want to track the page status during events. For example, @@ -65,6 +79,18 @@ function doc_id() { } } +function tab_id() { + /* + Extract the Google document's current Tab ID from the window + */ + try { + return googledocs_tab_id_from_url(window.location.href); + } catch(error) { + log_error("Couldn't read document's tab id"); + return null; + } +} + function this_is_a_google_doc() { /* @@ -142,29 +168,31 @@ function is_string(myVar) { } } -function injectScript(file_path, tag) { - /* - This function is to inject a script from 'file_path' - into a specific DOM tag passed in as 'tag' - */ - var node = document.getElementsByTagName(tag)[0]; - var script = document.createElement('script'); - script.setAttribute('type', 'text/javascript'); - script.setAttribute('src', file_path); - node.appendChild(script); -} - -function execute_on_page_space(code){ - /* This is from - https://stackoverflow.com/questions/9602022/chrome-extension-retrieving-global-variable-from-webpage - - It is used to run code outside of the extension isolation box, - for example to access page JavaScript variables. +function extractDocsToken() { + /** + * We need the doc token to be able to fetch the document + * history. This token is provided via a - - - - - - - - - Writing Analysis - - - -
+ + + + + + + + + + + + Writing Analysis + + + + +
- +
-
- - +
+ + + \ No newline at end of file diff --git a/learning_observer/learning_observer/static/webapp.js b/learning_observer/learning_observer/static/webapp.js index d1626e706..e69082753 100644 --- a/learning_observer/learning_observer/static/webapp.js +++ b/learning_observer/learning_observer/static/webapp.js @@ -31,6 +31,18 @@ function ajax(config) } } +function initializeBurgerMenu() { + document.querySelectorAll('.navbar-burger').forEach(burger => { + burger.addEventListener('click', () => { + const target = burger.dataset.target; + const targetMenu = document.getElementById(target); + burger.classList.toggle('is-active'); + targetMenu.classList.toggle('is-active'); + }); + }); +} + + requirejs( // TODO: Clean up absolute paths. We hardcoded these for now, due to refactor. @@ -52,11 +64,12 @@ requirejs( function(config, tool_list, d3, mustache, showdown, fontawesome, unauth, login, courses, course, tool, navbar_li, info, auth_info) { // Parse client configuration. config = JSON.parse(config); - console.log(tool_list); + // console.log(tool_list); tool_list = JSON.parse(tool_list); - console.log(tool_list); - console.log(auth_info); - console.log(JSON.stringify(auth_info)); + // console.log(tool_list); + // console.log(auth_info); + // console.log(JSON.stringify(auth_info)); + // Add libraries config.d3 = d3; config.ajax = ajax(config); @@ -152,7 +165,7 @@ requirejs( // * course_json are the course properties // Merged, we can render tools for courses! joined = Object.assign({}, course_json, tool_list[i]); - console.log(joined); + // console.log(joined); tools += mustache.render(tool, joined); } course_json['tools'] = tools; @@ -225,10 +238,16 @@ requirejs( } function loggedin_navbar_menu() { - d3.select(".main-navbar-menu").html(mustache.render(navbar_li, { - 'user_name': user_info()['name'], - 'user_picture': user_info()['picture'] - })); + const navbarMenu = d3.select("#mainNavbar"); + const navbarBurger = d3.select(".navbar-burger"); + + navbarMenu.html(mustache.render(navbar_li, { + 'user_name': user_info()['name'], + 'user_picture': user_info()['picture'] + })); + navbarMenu.classed("is-hidden", false); + navbarBurger.classed("is-hidden", false); + initializeBurgerMenu(); } function setup_page() { diff --git a/learning_observer/learning_observer/stream_analytics/__init__.py b/learning_observer/learning_observer/stream_analytics/__init__.py index e52cf138c..36a809ea3 100644 --- a/learning_observer/learning_observer/stream_analytics/__init__.py +++ b/learning_observer/learning_observer/stream_analytics/__init__.py @@ -20,6 +20,8 @@ from learning_observer.log_event import debug_log +import learning_observer.stream_analytics.time_on_task + REDUCER_MODULES = None LAST_UPDATED = None diff --git a/learning_observer/learning_observer/stream_analytics/time_on_task.py b/learning_observer/learning_observer/stream_analytics/time_on_task.py new file mode 100644 index 000000000..a31391f88 --- /dev/null +++ b/learning_observer/learning_observer/stream_analytics/time_on_task.py @@ -0,0 +1,103 @@ +''' +Helpers for time-on-task reducers. +''' +import pmss + +pmss.register_field( + name='time_on_task_threshold', + type=pmss.pmsstypes.TYPES.integer, + description='Maximum time to pass before marking a session as over. '\ + 'Should be 60-300 seconds in production, but 5 seconds is nice for '\ + 'debugging in a local deployment.', + default=60 +) +pmss.register_field( + name='binned_time_on_task_bin_size', + type=pmss.pmsstypes.TYPES.integer, + description='How large (in seconds) to make timestamp bins when '\ + 'recording binned time on task.', + default=600 +) + + +def default_time_on_task_state(): + return { + 'saved_ts': None, + 'total_time_on_task': 0 + } + + +def apply_time_on_task(internal_state, current_timestamp, time_delta_threshold): + if internal_state is None: + internal_state = default_time_on_task_state() + last_ts = internal_state['saved_ts'] + internal_state['saved_ts'] = current_timestamp + + if last_ts is None: + last_ts = internal_state['saved_ts'] + if last_ts is not None: + delta_t = min( + time_delta_threshold, + internal_state['saved_ts'] - last_ts + ) + internal_state['total_time_on_task'] += delta_t + return internal_state + + +def default_binned_time_on_task_state(): + return { + 'saved_ts': None, + 'binned_time_on_task': {}, + 'current_bin': None + } + + +def get_time_bin(timestamp, bin_size): + b = (timestamp // bin_size) * bin_size + return int(b) + + +def update_binned_time_on_task(internal_state, current_bin, last_timestamp, delta_time, bin_size): + '''Handle updating the internal state for binned time on task.''' + next_bin = current_bin + bin_size + next_bin_str = str(next_bin) + + current_bin_str = str(current_bin) + if current_bin_str not in internal_state['binned_time_on_task']: + internal_state['binned_time_on_task'][current_bin_str] = 0 + + if last_timestamp + delta_time >= next_bin: + internal_state['binned_time_on_task'][current_bin_str] += next_bin - last_timestamp + if next_bin_str not in internal_state['binned_time_on_task']: + internal_state['binned_time_on_task'][next_bin_str] = 0 + internal_state['binned_time_on_task'][next_bin_str] += last_timestamp + delta_time - next_bin + else: + internal_state['binned_time_on_task'][current_bin_str] += delta_time + + +def apply_binned_time_on_task( + internal_state, + current_timestamp, + time_delta_threshold, + bin_size +): + if internal_state is None: + internal_state = default_binned_time_on_task_state() + last_timestamp = internal_state['saved_ts'] + current_bin = internal_state['current_bin'] + internal_state['saved_ts'] = current_timestamp + + if last_timestamp is None: + last_timestamp = internal_state['saved_ts'] + if current_bin is None: + current_bin = get_time_bin(last_timestamp, bin_size) + + if last_timestamp is not None: + delta_time = min( + time_delta_threshold, + internal_state['saved_ts'] - last_timestamp + ) + update_binned_time_on_task(internal_state, current_bin, last_timestamp, delta_time, bin_size) + + internal_state['current_bin'] = get_time_bin(internal_state['saved_ts'], bin_size) + return internal_state diff --git a/learning_observer/learning_observer/util.py b/learning_observer/learning_observer/util.py index 96140943d..c3b085129 100644 --- a/learning_observer/learning_observer/util.py +++ b/learning_observer/learning_observer/util.py @@ -146,7 +146,7 @@ def get_nested_dict_value(d, key_str=None, default=MissingType.Missing): key_str = '' keys = key_str.split('.') for key in keys: - if d is not None and key in d: + if isinstance(d, dict) and key in d: d = d[key] elif key == '': d = d @@ -299,6 +299,16 @@ async def async_generator_to_list(gen): return result +def get_domain_from_email(email): + '''Helper function to extract the domain from an email address + ''' + if email is None: + return None + if '@' in email: + return email.split('@')[1] + return None + + # And a test case if __name__ == '__main__': assert to_safe_filename('{') == '-123-' diff --git a/learning_observer/learning_observer/webapp_helpers.py b/learning_observer/learning_observer/webapp_helpers.py index a201c399d..4210a0548 100644 --- a/learning_observer/learning_observer/webapp_helpers.py +++ b/learning_observer/learning_observer/webapp_helpers.py @@ -66,9 +66,19 @@ def setup_session_storage(app): ''' This is a helper function to setup session storage. ''' + protocol = settings.pmss_settings.protocol() + cookie_params = {} + if protocol == 'https': + debug_log('Setting cookie parameters for HTTPS') + cookie_params = { + 'domain': settings.pmss_settings.hostname(), + 'secure': True, + 'samesite': 'None' + } aiohttp_session.setup(app, aiohttp_session.cookie_storage.EncryptedCookieStorage( learning_observer.auth.fernet_key(settings.pmss_settings.session_secret(types=['aio'])), - max_age=settings.pmss_settings.session_max_age(types=['aio']))) + max_age=settings.pmss_settings.session_max_age(types=['aio']), + **cookie_params)) def find_open_port(): diff --git a/learning_observer/pyproject.toml b/learning_observer/pyproject.toml new file mode 100644 index 000000000..7b959378a --- /dev/null +++ b/learning_observer/pyproject.toml @@ -0,0 +1,3 @@ +[build-system] +requires = ["setuptools>=64", "wheel"] +build-backend = "setuptools.build_meta" diff --git a/learning_observer/setup.cfg b/learning_observer/setup.cfg index d8941a776..50a723bb2 100644 --- a/learning_observer/setup.cfg +++ b/learning_observer/setup.cfg @@ -4,7 +4,7 @@ description = Learning Observer Core Package url = http://www.ets.org author_email = pmitros@ets.org author = Piotr Mitros -version = 0.1 +version = file:VERSION [options] packages = learning_observer diff --git a/learning_observer/setup.py b/learning_observer/setup.py index 9aa5aeb40..28dd9e631 100644 --- a/learning_observer/setup.py +++ b/learning_observer/setup.py @@ -11,7 +11,6 @@ my_path = os.path.dirname(os.path.realpath(__file__)) parent_path = os.path.abspath(os.path.join(my_path, os.pardir)) req_path = os.path.join(parent_path, 'requirements.txt') -awe_path = os.path.join(parent_path, 'awe_requirements.txt') wo_path = os.path.join(parent_path, 'wo_requirements.txt') @@ -24,8 +23,7 @@ def clean_requirements(filename): install_requires=clean_requirements(req_path), extras_require={ "wo": clean_requirements(wo_path), - "awe": clean_requirements(awe_path) }, packages=find_packages(), - package_data={'': ['util/*', 'static/**/*', 'static_data/*.template', 'creds.yaml.example', 'communication_protocol/schema.json']} + package_data={'': ['static/**/*', 'static_data/*.template', 'creds.yaml.example', 'communication_protocol/schema.json']} ) diff --git a/learning_observer/test.sh b/learning_observer/test.sh new file mode 100755 index 000000000..11568d9c6 --- /dev/null +++ b/learning_observer/test.sh @@ -0,0 +1,21 @@ +#!/bin/bash +# learning_observer/test.sh +echo "=================================================" +echo "Running tests for Learning Observer" +echo "=================================================" + +# Modify the commands below to fit your testing needs +echo "Running doctests" +# Learning Observer expects a `creds.yaml` file to be +# present. This command creates one if it does not +# already exist. +if [ ! -f "creds.yaml" ]; then + cp learning_observer/creds.yaml.workshop creds.yaml +fi + +# Including the `learning_observer/` path will ignore +# our `util` and `prototype` directories. We ignore +# the `main.py` file as it expects us to pass command +# line arguments which interferes with PyTest's +# `--doctest-modules` flag. +pytest --doctest-modules learning_observer/ --ignore=learning_observer/main.py diff --git a/learning_observer/util/generic_websocket_dashboard.js b/learning_observer/util/generic_websocket_dashboard.js deleted file mode 100644 index fbce5797a..000000000 --- a/learning_observer/util/generic_websocket_dashboard.js +++ /dev/null @@ -1,53 +0,0 @@ -/* - This is test code for our new generic dashboard framework. - - It runs with node.js. We're developing it in node so that we can use - this as a starting point for thinking about a front-end framework, and - perhaps share test code. - - We don't have a clean plan for where we'll go (e.g. reuse code versus - prototypes). It's starting as a clone of the Python code with the same - filename. -*/ - -// var d3 = require('d3'); -// d3.text("https://www.google.com", function(d) {console.log(d);}); -const WebSocket = require('ws'); - -server = 'ws://localhost:8888/wsapi/generic_dashboard' - -messages = [ - { - "action": "subscribe", - "keys": [{ - "source" : "da_timeline.visualize.handle_event", - "KeyField.STUDENT": "guest-225d890e93a6b04c0aefe515b9d2dac9" - }], - "refresh": [0.5, "seconds"] - }, - { - "action": "subscribe", - "keys": [{ - "source" : "da_timeline.visualize.handle_event", - "KeyField.STUDENT": "INVALID-STUDENT" - }], - "refresh": [2, "seconds"] - }, - { - "action": "start" - } -] - -socket = new WebSocket(server); -socket.on('message', msg => console.log(msg.toString())); - -socket.onopen = function() { - console.log("Open"); - for(var i=0; i 0) { + sourceOptions.splice(1, 0, { label: 'Assignment', value: 'assignment' }); + } + + let sourceValue = currentSource; + if (sourceValue === 'assignment' && assignmentOptions.length === 0) { + sourceValue = 'latest'; + } + + return [assignmentOptions, sourceOptions, sourceValue]; + } + ''', + Output(ids.assignment_input(MATCH), 'options'), + Output(ids.source_selector(MATCH), 'options'), + Output(ids.source_selector(MATCH), 'value'), + Input(ids.source_selector(MATCH), 'id'), + Input('_pages_location', 'hash'), + State(ids.source_selector(MATCH), 'value'), + ) diff --git a/modules/lo_dash_react_components/lo_dash_react_components/__init__.py b/modules/lo_dash_react_components/lo_dash_react_components/__init__.py index 4c6fecb3a..f22c1ea64 100644 --- a/modules/lo_dash_react_components/lo_dash_react_components/__init__.py +++ b/modules/lo_dash_react_components/lo_dash_react_components/__init__.py @@ -12,6 +12,7 @@ from .LOConnectionStatusAIO import LOConnectionStatusAIO from .LOConnectionAIO import LOConnectionAIO +from .LODocumentSourceSelectorAIO import LODocumentSourceSelectorAIO from .ProfileSidebarAIO import ProfileSidebarAIO if not hasattr(_dash, '__plotly_dash') and not hasattr(_dash, 'development'): diff --git a/modules/lo_dash_react_components/package-lock.json b/modules/lo_dash_react_components/package-lock.json index 036c4ca1c..e9c4b7c64 100644 --- a/modules/lo_dash_react_components/package-lock.json +++ b/modules/lo_dash_react_components/package-lock.json @@ -9,110 +9,117 @@ "version": "0.0.1", "license": "AGPL-3.0", "dependencies": { - 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Please use @babel/plugin-transform-class-properties instead.", + "license": "MIT", "dependencies": { - "@babel/helper-plugin-utils": "^7.18.6", - "@babel/plugin-syntax-json-strings": "^7.8.3" + "@babel/helper-create-class-features-plugin": "^7.18.6", + "@babel/helper-plugin-utils": "^7.18.6" }, "engines": { "node": ">=6.9.0" @@ -625,13 +556,15 @@ "@babel/core": "^7.0.0-0" } }, - "node_modules/@babel/plugin-proposal-logical-assignment-operators": { - "version": "7.20.7", - "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-logical-assignment-operators/-/plugin-proposal-logical-assignment-operators-7.20.7.tgz", - "integrity": "sha512-y7C7cZgpMIjWlKE5T7eJwp+tnRYM89HmRvWM5EQuB5BoHEONjmQ8lSNmBUwOyy/GFRsohJED51YBF79hE1djug==", + "node_modules/@babel/plugin-proposal-decorators": { + "version": "7.25.9", + "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-decorators/-/plugin-proposal-decorators-7.25.9.tgz", + "integrity": "sha512-smkNLL/O1ezy9Nhy4CNosc4Va+1wo5w4gzSZeLe6y6dM4mmHfYOCPolXQPHQxonZCF+ZyebxN9vqOolkYrSn5g==", + "license": "MIT", "dependencies": { - "@babel/helper-plugin-utils": "^7.20.2", - "@babel/plugin-syntax-logical-assignment-operators": "^7.10.4" + "@babel/helper-create-class-features-plugin": "^7.25.9", + "@babel/helper-plugin-utils": "^7.25.9", + "@babel/plugin-syntax-decorators": "^7.25.9" }, "engines": { "node": ">=6.9.0" @@ -644,6 +577,8 @@ "version": "7.18.6", "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-nullish-coalescing-operator/-/plugin-proposal-nullish-coalescing-operator-7.18.6.tgz", "integrity": "sha512-wQxQzxYeJqHcfppzBDnm1yAY0jSRkUXR2z8RePZYrKwMKgMlE8+Z6LUno+bd6LvbGh8Gltvy74+9pIYkr+XkKA==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-nullish-coalescing-operator instead.", + "license": "MIT", "dependencies": { "@babel/helper-plugin-utils": "^7.18.6", "@babel/plugin-syntax-nullish-coalescing-operator": "^7.8.3" @@ -659,6 +594,8 @@ "version": "7.18.6", "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-numeric-separator/-/plugin-proposal-numeric-separator-7.18.6.tgz", "integrity": "sha512-ozlZFogPqoLm8WBr5Z8UckIoE4YQ5KESVcNudyXOR8uqIkliTEgJ3RoketfG6pmzLdeZF0H/wjE9/cCEitBl7Q==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-numeric-separator instead.", + "license": "MIT", "dependencies": { "@babel/helper-plugin-utils": "^7.18.6", "@babel/plugin-syntax-numeric-separator": "^7.10.4" @@ -674,6 +611,9 @@ "version": "7.20.7", "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-object-rest-spread/-/plugin-proposal-object-rest-spread-7.20.7.tgz", "integrity": "sha512-d2S98yCiLxDVmBmE8UjGcfPvNEUbA1U5q5WxaWFUGRzJSVAZqm5W6MbPct0jxnegUZ0niLeNX+IOzEs7wYg9Dg==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-object-rest-spread instead.", + "dev": true, + "license": "MIT", "dependencies": { "@babel/compat-data": "^7.20.5", "@babel/helper-compilation-targets": "^7.20.7", @@ -688,25 +628,12 @@ "@babel/core": "^7.0.0-0" } }, - "node_modules/@babel/plugin-proposal-optional-catch-binding": { - "version": "7.18.6", - "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-optional-catch-binding/-/plugin-proposal-optional-catch-binding-7.18.6.tgz", - "integrity": "sha512-Q40HEhs9DJQyaZfUjjn6vE8Cv4GmMHCYuMGIWUnlxH6400VGxOuwWsPt4FxXxJkC/5eOzgn0z21M9gMT4MOhbw==", - "dependencies": { - "@babel/helper-plugin-utils": "^7.18.6", - "@babel/plugin-syntax-optional-catch-binding": "^7.8.3" - }, - "engines": { - "node": ">=6.9.0" - }, - "peerDependencies": { - "@babel/core": "^7.0.0-0" - } - }, "node_modules/@babel/plugin-proposal-optional-chaining": { "version": "7.21.0", "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-optional-chaining/-/plugin-proposal-optional-chaining-7.21.0.tgz", "integrity": "sha512-p4zeefM72gpmEe2fkUr/OnOXpWEf8nAgk7ZYVqqfFiyIG7oFfVZcCrU64hWn5xp4tQ9LkV4bTIa5rD0KANpKNA==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-optional-chaining instead.", + "license": "MIT", "dependencies": { "@babel/helper-plugin-utils": "^7.20.2", "@babel/helper-skip-transparent-expression-wrappers": "^7.20.0", @@ -723,6 +650,8 @@ "version": "7.18.6", "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-private-methods/-/plugin-proposal-private-methods-7.18.6.tgz", "integrity": "sha512-nutsvktDItsNn4rpGItSNV2sz1XwS+nfU0Rg8aCx3W3NOKVzdMjJRu0O5OkgDp3ZGICSTbgRpxZoWsxoKRvbeA==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-private-methods instead.", + "license": "MIT", "dependencies": { "@babel/helper-create-class-features-plugin": "^7.18.6", "@babel/helper-plugin-utils": "^7.18.6" @@ -735,15 +664,10 @@ } }, "node_modules/@babel/plugin-proposal-private-property-in-object": { - "version": "7.21.0", - "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-private-property-in-object/-/plugin-proposal-private-property-in-object-7.21.0.tgz", - "integrity": "sha512-ha4zfehbJjc5MmXBlHec1igel5TJXXLDDRbuJ4+XT2TJcyD9/V1919BA8gMvsdHcNMBy4WBUBiRb3nw/EQUtBw==", - "dependencies": { - "@babel/helper-annotate-as-pure": "^7.18.6", - "@babel/helper-create-class-features-plugin": "^7.21.0", - "@babel/helper-plugin-utils": "^7.20.2", - "@babel/plugin-syntax-private-property-in-object": "^7.14.5" - }, + "version": "7.21.0-placeholder-for-preset-env.2", + "resolved": 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"resolved": "https://registry.npmjs.org/ylru/-/ylru-1.3.2.tgz", - "integrity": "sha512-RXRJzMiK6U2ye0BlGGZnmpwJDPgakn6aNQ0A7gHRbD4I0uvK4TW6UqkK1V0pp9jskjJBAXd3dRrbzWkqJ+6cxA==", - "devOptional": true, - "engines": { - "node": ">= 4.0.0" - } - }, "node_modules/yocto-queue": { "version": "0.1.0", "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz", "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==", + "license": "MIT", "engines": { "node": ">=10" }, diff --git a/modules/lo_dash_react_components/package.json b/modules/lo_dash_react_components/package.json index 09a9a0c0f..fc12ef115 100644 --- a/modules/lo_dash_react_components/package.json +++ b/modules/lo_dash_react_components/package.json @@ -2,83 +2,63 @@ "name": "lo_dash_react_components", "version": "0.0.1", "description": "React and Dash components for Learning Observer dashboards", - "repository": { - "type": "git", - "url": "git://github.com/ETS-Next-Gen/lo-dash-react-components.git" - }, - "bugs": { - "url": "https://github.com/ETS-Next-Gen/lo-dash-react-components/issues" - }, - "homepage": "https://github.com/ETS-Next-Gen/lo-dash-react-components", "main": "build/index.js", "scripts": { - "webpack-start": "webpack-serve --config ./webpack.serve.config.js --open", - "describe-webpack-start": "echo Run react app (without dash) with WebPack, which is Dash's default.", + "webpack-start": "webpack serve --config ./webpack.serve.config.js --open", "react-start": "react-scripts start", - "describe-react-start": "echo Run react app (without dash) with React Scripts, which probably gives the most rapid workflow.", "dash-start": "nodemon", - "describe-dash-start": "echo Run full dash app with nodemon. This requires a rebuild each time files change.", - "validate-init": "python _validate_init.py", - "prepublishOnly": "npm run validate-init", "build:js": "webpack --mode production", "build:backends": "dash-generate-components ./src/lib/components lo_dash_react_components -p package-info.json --r-prefix '' --jl-prefix '' --ignore \\.test\\.", - "build:backends-activated": "(. venv/bin/activate || venv\\scripts\\activate && npm run build:py_and_r)", "build": "npm run build-css && npm run build:js && npm run build:backends", - "build:activated": "npm run build:js && npm run build:backends-activated", - "build-css": "node-sass --recursive src/lib -o lo_dash_react_components/css", - "watch-css": "node-sass --recursive src/lib -o lo_dash_react_components/css --watch", + "build-css": "sass src/lib:lo_dash_react_components/css --no-source-map", + "watch-css": "sass src/lib:lo_dash_react_components/css --watch", "start-all": "npm-run-all --parallel watch-css react-start webpack-start dash-start", - "clean-build": "rm -rf dist/ && rm -rf build/", - "build:python": "npm run clean-build && python setup.py sdist bdist_wheel" + "clean-build:python": "rm -rf dist/ && rm -rf build/", + "build:python": "npm run clean-build:python && npm run build && python setup.py sdist bdist_wheel" }, "author": "Piotr Mitros ", "license": "AGPL-3.0", + "engines": { + "node": ">=22.0.0" + }, "dependencies": { - "@testing-library/jest-dom": "^5.16.5", - "@testing-library/react": "^13.4.0", - "@testing-library/user-event": "^13.5.0", - "bootstrap": "^5.2.3", - "node-sass": "^9.0.0", - "nodemon": "^2.0.21", - "ramda": "^0.26.1", - "react": "^18.2.0", - "react-bootstrap": "^2.7.2", - "react-dom": "^18.2.0", - "react-router": "^6.8.2", - "react-router-dom": "^6.8.2", + "bootstrap": "^5.3.3", + "ramda": "^0.30.1", + "react": "^18.3.1", + "react-bootstrap": "^2.10.5", + "react-dom": "^18.3.1", + "react-router-dom": "^6.28.0", "react-scripts": "^5.0.1", - "react-tooltip": "^5.20.0", - "recharts": "^2.4.3", - "web-vitals": "^2.1.4" + "react-tooltip": "^5.28.0", + "recharts": "^2.13.3", + "web-vitals": "^4.2.4" }, "devDependencies": { - "@babel/core": "^7.5.4", - "@babel/plugin-proposal-object-rest-spread": "^7.5.4", - "@babel/preset-env": "^7.5.4", - "@babel/preset-react": "^7.0.0", - "@plotly/dash-component-plugins": "^1.2.0", - "@plotly/webpack-dash-dynamic-import": "^1.2.0", - "babel-eslint": "^10.0.2", - "babel-loader": "^8.0.6", - "copyfiles": "^2.1.1", - "css-loader": "^3.0.0", - "eslint": "^6.0.1", - "eslint-config-prettier": "^6.0.0", - "eslint-plugin-import": "^2.18.0", - "eslint-plugin-react": "^7.14.2", + "@babel/core": "^7.26.0", + "@babel/plugin-proposal-object-rest-spread": "^7.20.7", + "@babel/preset-env": "^7.26.0", + "@babel/preset-react": "^7.25.9", + "@plotly/webpack-dash-dynamic-import": "^1.3.0", + "autoprefixer": "^10.4.20", + "babel-loader": "^9.2.1", + "css-loader": "^7.1.2", + "eslint-config-prettier": "^9.1.0", + "eslint-config-standard": "^17.1.0", + "eslint-plugin-import": "^2.31.0", + "eslint-plugin-node": "^11.1.0", + "eslint-plugin-promise": "^6.0.0", + "eslint-plugin-standard": "^4.1.0", + "nodemon": "^3.1.7", "npm-run-all": "^4.1.5", - "prop-types": "^15.7.2", - "react-docgen": "^4.1.1", - "style-loader": "^0.23.1", - "styled-jsx": "^5.1.2", - "terser-webpack-plugin": "^2.3.0", - "webpack": "4.37.0", - "webpack-cli": "3.3.6", - "webpack-serve": "3.1.0" - }, - "engines": { - "npm": ">=8.11.0", - "node": ">=16.0.0 <17.0.0" + "prettier": "^3.3.3", + "react-docgen": "^5.4.3", + "sass": "^1.80.6", + "style-loader": "^4.0.0", + "styled-jsx": "^5.1.6", + "tailwindcss": "^3.4.14", + "webpack": "^5.96.1", + "webpack-cli": "^5.1.4", + "webpack-dev-server": "^5.2.1" }, "browserslist": { "production": [ @@ -87,8 +67,8 @@ "not op_mini all" ], "development": [ - "last 1 firefox version", "last 1 chrome version", + "last 1 firefox version", "last 1 safari version" ] } diff --git a/modules/lo_dash_react_components/requirements.txt b/modules/lo_dash_react_components/requirements.txt index e9f14b969..804e5c082 100644 --- a/modules/lo_dash_react_components/requirements.txt +++ b/modules/lo_dash_react_components/requirements.txt @@ -1,2 +1,3 @@ # dash is required to call `build:py` dash[dev]>=2.0.0 +js2py diff --git a/modules/lo_dash_react_components/src/lib/components/DAProblemDisplay.react.js b/modules/lo_dash_react_components/src/lib/components/DAProblemDisplay.react.js index 3e18b9f44..871fe60b8 100644 --- a/modules/lo_dash_react_components/src/lib/components/DAProblemDisplay.react.js +++ b/modules/lo_dash_react_components/src/lib/components/DAProblemDisplay.react.js @@ -418,7 +418,7 @@ class DAProblemDisplay extends React.Component { return (
- + {/**/} diff --git a/modules/lo_dash_react_components/src/lib/components/LONameTag.scss b/modules/lo_dash_react_components/src/lib/components/LONameTag.scss index 611345779..4670217be 100644 --- a/modules/lo_dash_react_components/src/lib/components/LONameTag.scss +++ b/modules/lo_dash_react_components/src/lib/components/LONameTag.scss @@ -6,7 +6,6 @@ span.name-tag-photo { font-family: monospace; text-align: center; - width: 42px; background-color: white; padding: 0.25rem; border-radius: 50%; diff --git a/modules/lo_dash_react_components/src/lib/components/LOPanelLayout.react.js b/modules/lo_dash_react_components/src/lib/components/LOPanelLayout.react.js index e794cac0c..deb6282a4 100644 --- a/modules/lo_dash_react_components/src/lib/components/LOPanelLayout.react.js +++ b/modules/lo_dash_react_components/src/lib/components/LOPanelLayout.react.js @@ -24,7 +24,7 @@ export default class LOPanelLayout extends Component { {leftPanels.map(panel =>
{panel.children} @@ -36,7 +36,7 @@ export default class LOPanelLayout extends Component { {rightPanels.map(panel =>
{panel.children} @@ -77,6 +77,7 @@ LOPanelLayout.propTypes = { width: PropTypes.string, offset: PropTypes.number, side: PropTypes.string, + className: PropTypes.string, id: PropTypes.string.isRequired })), diff --git a/modules/lo_dash_react_components/src/lib/components/WOAnnotatedText.react.js b/modules/lo_dash_react_components/src/lib/components/WOAnnotatedText.react.js index 27593c548..a50e35e20 100644 --- a/modules/lo_dash_react_components/src/lib/components/WOAnnotatedText.react.js +++ b/modules/lo_dash_react_components/src/lib/components/WOAnnotatedText.react.js @@ -9,7 +9,7 @@ import 'react-tooltip/dist/react-tooltip.css'; * WOAnnotatedText */ export default class WOAnnotatedText extends Component { - constructor(props) { + constructor (props) { super(props); this.state = { selectedItem: null @@ -22,14 +22,14 @@ export default class WOAnnotatedText extends Component { return split.map((line, index) => ( {line} - {split.length-1 === index ? :
} + {split.length - 1 === index ? :
} )); } return str; - } + }; - render() { + render () { const { breakpoints, text, className } = this.props; const breaks = new Set(); @@ -53,13 +53,13 @@ export default class WOAnnotatedText extends Component { matchingBreaks.forEach(b => { ids[b] = ids[b].concat({ tooltip: obj.tooltip, style: obj.style }); }); - }) + }); const chunks = Array(breaksList.length - 1); let curr, textChunk; for (let i = 0; i < chunks.length; i++) { curr = ids[breaksList[i]]; - textChunk = text.substring(breaksList[i], breaksList[i+1]); + textChunk = text.substring(breaksList[i], breaksList[i + 1]); if (curr.length === 0) { chunks[i] = { text: textChunk, @@ -79,7 +79,7 @@ export default class WOAnnotatedText extends Component { if (chunks.length === 0) { return
{this.replaceNewLines(text)} -
+
; } // TODO figure out how empty breakpoints @@ -93,8 +93,7 @@ export default class WOAnnotatedText extends Component {
{chunks.map((chunk, index) => ( chunk.annotated - ? - optionsMap.set(option.id, option)); - // Initialize an array to store the sorted options const sortedOptions = []; - // Function to recursively add children to the sorted array function addChildren (parentId, depth) { options .filter(option => option.parent === parentId) .forEach(option => { sortedOptions.push({ ...option, depth }); - addChildren(option.id, depth + 1); // Recursively add children + addChildren(option.id, depth + 1); }); } - // Start by adding top-level items (those with an empty parent) addChildren('', 0); return sortedOptions; } -/** - * WOSettings is a generic settings interface. - * User can define - */ export default class WOSettings extends Component { constructor (props) { super(props); + this.state = { + collapsed: {}, + showHighlight: props.options.some(option => option.types && option.types.includes('highlight')), + showMetric: props.options.some(option => option.types && option.types.includes('metric')) + }; this.handleRowEvent = this.handleRowEvent.bind(this); this.renderRow = this.renderRow.bind(this); + this.toggleCollapse = this.toggleCollapse.bind(this); } handleRowEvent (event, key, type, colorPicker = false) { - const { setProps, options } = this.props; - const oldOptions = structuredClone(options); - const current = oldOptions.find(option => option.id === key); + const { setProps, value } = this.props; + const currentValue = structuredClone(value); + if (!(key in currentValue)) { + currentValue[key] = {}; + } if (colorPicker) { - current.types[type].color = event.target.value; + currentValue[key][type].color = event.target.value; } else { const { checked } = event.target; - current.types[type].value = checked; - current.types[type].color = current.types[type].color || generateNewHighlightColor(); + if (!(type in currentValue[key])) { + currentValue[key][type] = {}; + } + currentValue[key][type].value = checked; + if (type === 'highlight') { + currentValue[key][type].color = currentValue[key][type].color || generateNewHighlightColor(); + } } - setProps({ options: oldOptions }); + setProps({ value: currentValue }); + } + + toggleCollapse (id) { + this.setState(prevState => ({ + collapsed: { + ...prevState.collapsed, + [id]: !prevState.collapsed[id] + } + })); } - renderRow (row) { - const highlightCell = (row.types && 'highlight' in row.types) + renderRow (row, allRows) { + const { collapsed, showHighlight, showMetric } = this.state; + const { value } = this.props; + const hasChildren = allRows.some(option => option.parent === row.id); + const isCollapsed = collapsed[row.id] || false; + + const highlightCell = row.types && row.types.includes('highlight') ? (<> - this.handleRowEvent(e, row.id, 'highlight')} /> - {row.types.highlight.value - ? this.handleRowEvent(e, row.id, 'highlight', true)} /> + this.handleRowEvent(e, row.id, 'highlight')} + className='me-1' + /> + {value[row.id]?.highlight.value + ? ( this.handleRowEvent(e, row.id, 'highlight', true)} + />) : null} ) : null; - const metricCell = (row.types && 'metric' in row.types) - ? this.handleRowEvent(e, row.id, 'metric')} /> + const metricCell = (row.types && row.types.includes('metric')) + ? this.handleRowEvent(e, row.id, 'metric')} /> : null; + return ( - - {'\u00A0'.repeat(row.depth * 2) + row.label} - {highlightCell} - {/* {metricCell} */} - + <> + + +
{row.label}
+ {hasChildren && ( + + )} + + {showHighlight && {highlightCell}} + {showMetric && {metricCell}} + + {/* Render children rows if not collapsed */} + {!isCollapsed && + allRows + .filter(child => child.parent === row.id) + .map(child => this.renderRow(child, allRows))} + ); } render () { const { id, className, options } = this.props; + const { showHighlight, showMetric } = this.state; const rows = sortOptionsIntoTree(options); - // TODO due to a HACK with passing data to the child component of - // the student tiles, we currently only support a single child and - // expect it to be the highlighted text component. + return ( - - {/* */} + {showHighlight && } + {showMetric && } - {rows.map((r) => this.renderRow(r))} + {rows + .filter(row => row.parent === '') // Start with top-level rows + .map(row => this.renderRow(row, rows))}
NameHighlightMetricHighlightMetric
); } -}; +} WOSettings.defaultProps = { id: '', className: '', - options: {} + options: [], + value: {} }; WOSettings.propTypes = { @@ -143,6 +199,11 @@ WOSettings.propTypes = { PropTypes.object, PropTypes.undefined ]) - })) + })), + + /** + * Dictionary of selected items + */ + value: PropTypes.object }; diff --git a/modules/lo_dash_react_components/src/lib/components/WOStudentTextTile.react.js b/modules/lo_dash_react_components/src/lib/components/WOStudentTextTile.react.js index 041bf875e..385d07565 100644 --- a/modules/lo_dash_react_components/src/lib/components/WOStudentTextTile.react.js +++ b/modules/lo_dash_react_components/src/lib/components/WOStudentTextTile.react.js @@ -1,77 +1,50 @@ import React, { Component } from 'react'; import PropTypes from 'prop-types'; +import Button from 'react-bootstrap/Button'; +import ButtonGroup from 'react-bootstrap/ButtonGroup'; import Card from 'react-bootstrap/Card'; -import Form from 'react-bootstrap/Form'; import LONameTag from './LONameTag.react'; -function createGoogleDocumentURL (docId) { - return `https://docs.google.com/document/d/${docId}`; -} - /** * WOStudentTextTile */ export default class WOStudentTextTile extends Component { - constructor (props) { - super(props); - this.handleDocumentSelectChange = this.handleDocumentSelectChange.bind(this); - } - - handleDocumentSelectChange (event) { - this.props.setProps({ selectedDocument: event.target.value }); - } - render () { - const { id, className, style, showHeader, studentInfo, selectedDocument, currentOptionHash, childComponent } = this.props; - // HACK we need to pass the appropriate student information into the child component - childComponent.props._dashprivate_layout.props = {...studentInfo.documents[selectedDocument]}; - - const documentIsSelected = selectedDocument && studentInfo.documents[selectedDocument]; - const isLoading = documentIsSelected && currentOptionHash !== studentInfo.documents[selectedDocument].optionHash; + const { id, className, style, showName, profile, documentTitle, currentStudentHash, currentOptionHash, childComponent, additionalButtons } = this.props; + const isLoading = currentOptionHash !== currentStudentHash; let bodyClassName = isLoading ? 'loading' : ''; bodyClassName = `${bodyClassName} overflow-auto position-relative`; - const loadedItem = documentIsSelected - ? <>{childComponent} - :
Document information not found.
; - - // TODO the chunk of commented code allows for linking directly to the selected document - // and allows the user to select which document they wish to see at a given moment. - // Neither of these features are currently available due to limitations with the communication - // protocol. For now they are being commented out so users are not inclined to use them. return ( - - - {/* - - - - - {studentInfo.availableDocuments.map(doc => ( - - ))} - */} - - {isLoading && ( -
-
- Loading... + +
+
+ + {documentTitle && showName && ( +
+ {documentTitle} +
+ )} +
+ + {isLoading && ( + + )} + {additionalButtons && additionalButtons} +
- )} + - {loadedItem} + {childComponent} ); @@ -80,13 +53,10 @@ export default class WOStudentTextTile extends Component { WOStudentTextTile.defaultProps = { className: '', - showHeader: true, + showName: true, style: {}, - studentInfo: { - profile: {}, - availableDocuments: [], - documents: {} - } + profile: {}, + documentTitle: '' }; WOStudentTextTile.propTypes = { @@ -110,12 +80,13 @@ WOStudentTextTile.propTypes = { * Determine whether the header with the student * name should be visible or not */ - showHeader: PropTypes.bool, + showName: PropTypes.bool, /** - * Which document is currently selected for this student + * Title of the currently selected document. + * Displayed beneath the student name when present and showName is true. */ - selectedDocument: PropTypes.string, + documentTitle: PropTypes.string, /** * Hash of the current options, used to determine if we @@ -123,33 +94,30 @@ WOStudentTextTile.propTypes = { */ currentOptionHash: PropTypes.string, + /** + * Hash of the current student, used to determine if we + * should be in a loading state or not. + */ + currentStudentHash: PropTypes.string, + /** * Component to use for within the card body */ childComponent: PropTypes.node, /** - * The breakpoints of our text + * Buttons to add to the button group */ - studentInfo: PropTypes.exact({ - profile: PropTypes.object, - availableDocuments: PropTypes.arrayOf(PropTypes.exact({ - id: PropTypes.string, - title: PropTypes.string - })), - documents: PropTypes.object - // objectOf( - // PropTypes.shape({ - // text: PropTypes.string, - // breakpoints: PropTypes.arrayOf(PropTypes.any), - // optionHash: PropTypes.string - // }) - // ) - }), + additionalButtons: PropTypes.node, + + /** + * The profile of the student + */ + profile: PropTypes.object, /** * Dash-assigned callback that should be called to report property changes * to Dash, to make them available for callbacks. */ setProps: PropTypes.func -}; +}; \ No newline at end of file diff --git a/modules/lo_dash_react_components/src/lib/components/WOStudentTextTile.testdata.js b/modules/lo_dash_react_components/src/lib/components/WOStudentTextTile.testdata.js index 0d297f065..c12774038 100644 --- a/modules/lo_dash_react_components/src/lib/components/WOStudentTextTile.testdata.js +++ b/modules/lo_dash_react_components/src/lib/components/WOStudentTextTile.testdata.js @@ -1,51 +1,16 @@ const testData = { id: 'example', - showHeader: true, + showName: true, currentOptionHash: '123', - studentInfo: { - availableDocuments: [ - { id: '1_2V-Npp1L0G3cw4lcH_ENSo_y_OV1BP3s8NdnwaFbVw', title: 'Document A' }, - { id: 'docB', title: 'Document B' }, - { id: 'docC', title: 'Document C' } - ], - profile: { - email_address: 'example@example.com', - name: { - family_name: 'Doe', - full_name: 'John Doe', - given_name: 'John' - }, - photo_url: '//lh3.googleusercontent.com/a/default-user' + currentStudentHash: '123', + profile: { + email_address: 'example@example.com', + name: { + family_name: 'Doe', + full_name: 'John Doe', + given_name: 'John' }, - documents: { - '1_2V-Npp1L0G3cw4lcH_ENSo_y_OV1BP3s8NdnwaFbVw': { - optionHash: '123', - text: "This summer was AMAZING!!! First, I went to the beach with my family for two whole weeks! We stayed in this super cool beach house that had its own private pool and hot tub. My siblings and I spent hours playing in the waves and building sandcastles on the beach. We even went on a snorkeling trip and saw some really cool fish!\n\nWhen we weren't at the beach, I hung out with my friends and we had a blast! We went to the trampoline park and played laser tag. I also started reading this really good book called \"The Giver\" and it was sooo good that I couldn't put it down.\n\nMy parents took me and my siblings on a road trip to visit our grandparents in another state. It was a pretty long drive, but we made some great memories along the way. We stopped at a few theme parks and went on some really cool rides. My favorite one was this roller coaster that had loops and corkscrews!\n\nAt home, I started working on my own little garden project. I planted some flowers and herbs, and even tried to grow my own tomatoes (which didn't quite work out as planned...). It was pretty cool seeing everything grow and flourish.\n\nOverall, this summer was definitely the best one yet!", - breakpoints: [ - { - id: 'split0', - tooltip: 'This is the first tooltip', - start: 220, - offset: 5, - style: { textDecoration: 'underline' } - }, - { - id: 'split1', - tooltip: 'This is a tooltip', - start: 240, - offset: 25, - style: { textDecoration: 'underline' } - }, - { - id: 'split2', - tooltip: 'This is another tooltip', - start: 310, - offset: 15, - style: { backgroundColor: 'green' } - } - ] - } - } + photo_url: '//lh3.googleusercontent.com/a/default-user' } }; diff --git a/modules/lo_dash_react_components/src/lib/index.scss b/modules/lo_dash_react_components/src/lib/index.scss index 15527b7df..c98e8f10b 100644 --- a/modules/lo_dash_react_components/src/lib/index.scss +++ b/modules/lo_dash_react_components/src/lib/index.scss @@ -245,11 +245,11 @@ body { } .left-column { - @include columnMixin + @include columnMixin; } .right-column { - @include columnMixin + @include columnMixin; flex-direction: column; } diff --git a/modules/lo_dash_react_components/webpack.config.js b/modules/lo_dash_react_components/webpack.config.js index 4fe7e6da8..f91f4a382 100644 --- a/modules/lo_dash_react_components/webpack.config.js +++ b/modules/lo_dash_react_components/webpack.config.js @@ -71,7 +71,6 @@ module.exports = (env, argv) => { { loader: 'style-loader', options: { - insertAt: 'top' } }, { @@ -84,9 +83,7 @@ module.exports = (env, argv) => { optimization: { minimizer: [ new TerserPlugin({ - sourceMap: true, parallel: true, - cache: './.build_cache/terser', terserOptions: { warnings: false, ie8: false @@ -94,7 +91,6 @@ module.exports = (env, argv) => { }) ], splitChunks: { - name: true, cacheGroups: { async: { chunks: 'async', diff --git a/modules/lo_event/examples/browser_events.html b/modules/lo_event/examples/browser_events.html index 6bfe88435..5b7e59317 100644 --- a/modules/lo_event/examples/browser_events.html +++ b/modules/lo_event/examples/browser_events.html @@ -12,6 +12,26 @@

HTML DOM Events

+ + +""" + + +def _current_user_and_context(session): + user = session.get(constants.USER, {}) + context = user.get("lti_context", {}) if isinstance(user, dict) else {} + return user, context + + +def _validate_lti_session(session): + user, context = _current_user_and_context(session) + if not user: + raise web.HTTPUnauthorized(text="No active LTI session") + if constants.AUTH_HEADERS not in session: + raise web.HTTPUnauthorized(text="Missing LTI authorization headers") + if not context: + raise web.HTTPBadRequest(text="Missing LTI launch context") + provider = context.get("provider") + if not provider: + raise web.HTTPBadRequest(text="Missing LTI provider on session") + return user, context, provider + + +async def render_dashboard(request): + await aiohttp_session.get_session(request) # ensure session cookie exists + return web.Response(text=DASHBOARD_HTML, content_type="text/html") + + +async def session_summary(request): + session = await aiohttp_session.get_session(request) + try: + user, context, provider = _validate_lti_session(session) + except web.HTTPException as exc: + raise exc + + response = { + "userId": user.get(constants.USER_ID), + "email": user.get("email"), + "name": user.get("name"), + "provider": provider, + "ltiContext": context, + "hasAuthHeaders": constants.AUTH_HEADERS in session, + } + return web.json_response(response) + + +async def course_line_items(request): + session = await aiohttp_session.get_session(request) + _, context, provider = _validate_lti_session(session) + + integrations = learning_observer.integrations.INTEGRATIONS.get(provider) + if not integrations or "assignments" not in integrations: + raise web.HTTPServiceUnavailable(text="Line item endpoint is not registered for this provider") + + course_id = request.query.get("courseId") or context.get("api_id") + if not course_id: + raise web.HTTPBadRequest(text="courseId is required") + + runtime = learning_observer.runtime.Runtime(request) + line_items = await integrations["assignments"](runtime, courseId=str(course_id)) + return web.json_response(line_items) + + +async def submit_score(request): + session = await aiohttp_session.get_session(request) + user, context, provider = _validate_lti_session(session) + + integrations = learning_observer.integrations.INTEGRATIONS.get(provider) + if not integrations or "raw_lineitem_scores" not in integrations: + raise web.HTTPServiceUnavailable(text="Grade submission endpoint is not registered for this provider") + + try: + data = await request.json() + except Exception as exc: # pragma: no cover - aiohttp provides clear message already + raise web.HTTPBadRequest(text=f"Invalid JSON body: {exc}") + + line_item_id = data.get("lineItemId") + if not line_item_id: + raise web.HTTPBadRequest(text="lineItemId is required") + + course_id = data.get("courseId") or context.get("api_id") + if not course_id: + raise web.HTTPBadRequest(text="courseId is required") + + timestamp = data.get("timestamp") or datetime.datetime.utcnow().replace(tzinfo=datetime.timezone.utc).isoformat() + + score_payload = { + "userId": data.get("userId") or user.get(constants.USER_ID), + "scoreGiven": data.get("scoreGiven"), + "scoreMaximum": data.get("scoreMaximum"), + "activityProgress": data.get("activityProgress", "Completed"), + "gradingProgress": data.get("gradingProgress", "FullyGraded"), + "timestamp": timestamp, + } + + runtime = learning_observer.runtime.Runtime(request) + result = await integrations["raw_lineitem_scores"]( + runtime, + courseId=str(course_id), + lineItemId=str(line_item_id), + json_body={k: v for k, v in score_payload.items() if v is not None}, + ) + + return web.json_response({ + "provider": provider, + "courseId": str(course_id), + "lineItemId": str(line_item_id), + "submittedPayload": score_payload, + "lmsResponse": result, + }) diff --git a/modules/lo_lti_grade_demo/pyproject.toml b/modules/lo_lti_grade_demo/pyproject.toml new file mode 100644 index 000000000..8fe2f47af --- /dev/null +++ b/modules/lo_lti_grade_demo/pyproject.toml @@ -0,0 +1,3 @@ +[build-system] +requires = ["setuptools>=42", "wheel"] +build-backend = "setuptools.build_meta" diff --git a/modules/lo_lti_grade_demo/setup.cfg b/modules/lo_lti_grade_demo/setup.cfg new file mode 100644 index 000000000..c38499e9e --- /dev/null +++ b/modules/lo_lti_grade_demo/setup.cfg @@ -0,0 +1,12 @@ +[metadata] +name = LTI Grade Demo +version = 0.1 +description = Basic dashboard to inspect LTI context and post AGS scores + +[options] +packages = find: +include_package_data = true + +[options.entry_points] +lo_modules = + lo_lti_grade_demo = lo_lti_grade_demo.module diff --git a/modules/lo_template_module/{{ cookiecutter.project_slug }}/README.md b/modules/lo_template_module/{{ cookiecutter.project_slug }}/README.md index 54fdda9cf..de913072c 100644 --- a/modules/lo_template_module/{{ cookiecutter.project_slug }}/README.md +++ b/modules/lo_template_module/{{ cookiecutter.project_slug }}/README.md @@ -10,20 +10,18 @@ module/ {{ cookiecutter.project_slug }}/ assets/ ... - helpers/ - additional_script.py module.py reducers.py dash_dashboards.py + utils.py + tests/ + test_utils.py MANIFEST.in - setup.py setup.cfg + pyproject.toml + VERSION ``` -### setup.py - -This is a standard `setup.py` file. - ### setup.cfg Notice we include the following items in our `setup.cfg` file. @@ -41,12 +39,20 @@ The `lo_modules` entry point tells Learning Observer to treat `{{ cookiecutter.p The package data section is where we include additional directories we want included in the build. +### pyproject.toml + +The `pyproject.toml` file specifies the build system, which in this case is `setuptools`. It works alongside the `setup.cfg` file to provide metadata for the installation process. + ### MANIFEST.in The manifest specifies which files to include during Python packaging. This specifies the additional non-python files we want included. If you do not have additional files needed, this file is unnecessary. For modules with Dash-made dashboards, this will typically include a relative path to the assets folder. +### VERSION + +The VERSION file specifies the version of the package. Each one defaults to `0.1.0`. + ### module.py This file defines everything about the module. See the dedicated section below. diff --git a/modules/lo_template_module/{{ cookiecutter.project_slug }}/VERSION b/modules/lo_template_module/{{ cookiecutter.project_slug }}/VERSION new file mode 100644 index 000000000..cbbd3281b --- /dev/null +++ b/modules/lo_template_module/{{ cookiecutter.project_slug }}/VERSION @@ -0,0 +1 @@ +0.1.0+2025.07.16T17.39.45.896Z.a3b5acf4.workshop.updates diff --git a/modules/lo_template_module/{{ cookiecutter.project_slug }}/pyproject.toml b/modules/lo_template_module/{{ cookiecutter.project_slug }}/pyproject.toml new file mode 100644 index 000000000..8fe2f47af --- /dev/null +++ b/modules/lo_template_module/{{ cookiecutter.project_slug }}/pyproject.toml @@ -0,0 +1,3 @@ +[build-system] +requires = ["setuptools>=42", "wheel"] +build-backend = "setuptools.build_meta" diff --git a/modules/lo_template_module/{{ cookiecutter.project_slug }}/setup.cfg b/modules/lo_template_module/{{ cookiecutter.project_slug }}/setup.cfg index f3017da79..42ff5a2ef 100644 --- a/modules/lo_template_module/{{ cookiecutter.project_slug }}/setup.cfg +++ b/modules/lo_template_module/{{ cookiecutter.project_slug }}/setup.cfg @@ -1,10 +1,14 @@ [metadata] name = {{ cookiecutter.project_name }} +version = file:VERSION description = Use this as a base template for creating new modules on the Learning Observer. [options] packages = {{ cookiecutter.project_slug }} +[options.package_data] +{{ cookiecutter.project_slug }} = assets/* + [options.entry_points] lo_modules = {{ cookiecutter.project_slug }} = {{ cookiecutter.project_slug }}.module diff --git a/modules/lo_template_module/{{ cookiecutter.project_slug }}/setup.py b/modules/lo_template_module/{{ cookiecutter.project_slug }}/setup.py deleted file mode 100644 index 3fcd10cf0..000000000 --- a/modules/lo_template_module/{{ cookiecutter.project_slug }}/setup.py +++ /dev/null @@ -1,14 +0,0 @@ -''' -Install script. Everything is handled in setup.cfg - -To set up locally for development, run `python setup.py develop`, in a -virtualenv, preferably. -''' -from setuptools import setup - -setup( - name="{{ cookiecutter.project_slug }}", - package_data={ - '{{ cookiecutter.project_slug }}': ['assets/*'], - } -) diff --git a/modules/lo_template_module/{{ cookiecutter.project_slug }}/test.sh b/modules/lo_template_module/{{ cookiecutter.project_slug }}/test.sh new file mode 100755 index 000000000..888cd1278 --- /dev/null +++ b/modules/lo_template_module/{{ cookiecutter.project_slug }}/test.sh @@ -0,0 +1,11 @@ +#!/bin/bash +# modules/{{ cookiecutter.project_slug }}/test.sh +echo "=================================================" +echo "Running tests for {{ cookiecutter.project_name }}" +echo "=================================================" + +# Modify the commands below to fit your testing needs +echo "Running traditional pytests" +pytest tests/ +echo "Running doctests" +pytest --doctest-modules diff --git a/modules/lo_template_module/{{ cookiecutter.project_slug }}/tests/test_utils.py b/modules/lo_template_module/{{ cookiecutter.project_slug }}/tests/test_utils.py new file mode 100644 index 000000000..bc0bef163 --- /dev/null +++ b/modules/lo_template_module/{{ cookiecutter.project_slug }}/tests/test_utils.py @@ -0,0 +1,6 @@ +import {{ cookiecutter.project_slug }}.utils as unit + +def test_increment(): + n = 1 + result = unit.increment(n) + assert result == n + 1 diff --git a/modules/lo_template_module/{{ cookiecutter.project_slug }}/{{ cookiecutter.project_slug }}/assets/scripts.js b/modules/lo_template_module/{{ cookiecutter.project_slug }}/{{ cookiecutter.project_slug }}/assets/scripts.js index f0f919126..5733e08c1 100644 --- a/modules/lo_template_module/{{ cookiecutter.project_slug }}/{{ cookiecutter.project_slug }}/assets/scripts.js +++ b/modules/lo_template_module/{{ cookiecutter.project_slug }}/{{ cookiecutter.project_slug }}/assets/scripts.js @@ -34,37 +34,18 @@ window.dash_clientside.{{ cookiecutter.project_slug }} = { return window.dash_clientside.no_update; }, - /** - * Process a message from LOConnection - * @param {object} incomingMessage object received from LOConnection - * @returns parsed data to local storage - */ - receiveWSMessage: async function (incomingMessage) { - // TODO the naming here is broken serverside. Notice above we - // called the target export `{{ cookiecutter.reducer }}_export`, i.e. the named - // export. Below, we need to call `{{ cookiecutter.project_slug }}_join_roster`, i.e. the name - // of the node. This ought to be cleaned up in the communication protocl. - const messageData = JSON.parse(incomingMessage.data).{{ cookiecutter.project_slug }}_query.{{ cookiecutter.reducer }}_join_roster || []; - if (messageData.error !== undefined) { - console.error('Error received from server', messageData.error); - return []; - } - return messageData; - }, - /** * Build the student UI components based on the stored websocket data * @param {*} wsStorageData information stored in the websocket store * @returns Dash object to be displayed on page */ - populateOutput: function(wsStorageData) { - if (!wsStorageData) { + populateOutput: function (wsStorageData) { + if (!wsStorageData?.students) { return 'No students'; } let output = [] // Iterate over students and create UI items for each - for (const student of wsStorageData) { - + for (const [student, value] of Object.entries(wsStorageData.students)) { // We define Dash components in JS via a dictionary // of where the component lives, what it is, and any // parameters we want to pass along to it. @@ -72,31 +53,27 @@ window.dash_clientside.{{ cookiecutter.project_slug }} = { // - `type`: the component to use // - `props`: any parameters the component expects // The following produces a LONameTag and Span wrapped in a Div - studentBadge = { + const studentBadge = { namespace: 'dash_html_components', type: 'Div', props: { children: [{ - namespace: 'lo_dash_react_components', + namespace: 'dash_html_components', props: { - profile: student.profile, - className: 'student-name-tag d-inline-block', - includeName: true, - id: `${student.user_id}-activity-img` + children: student }, - type: 'LONameTag' - },{ + type: 'Span' + }, { namespace: 'dash_html_components', props: { - children: ` - ${student.count} events`, + children: ` - ${value.count} events` }, type: 'Span' - }] } } - output = output.concat(studentBadge) + output = output.concat(studentBadge); } return output; } -} +}; diff --git a/modules/lo_template_module/{{ cookiecutter.project_slug }}/{{ cookiecutter.project_slug }}/dash_dashboard.py b/modules/lo_template_module/{{ cookiecutter.project_slug }}/{{ cookiecutter.project_slug }}/dash_dashboard.py index 05dbe2831..e82bf3cf2 100644 --- a/modules/lo_template_module/{{ cookiecutter.project_slug }}/{{ cookiecutter.project_slug }}/dash_dashboard.py +++ b/modules/lo_template_module/{{ cookiecutter.project_slug }}/{{ cookiecutter.project_slug }}/dash_dashboard.py @@ -23,35 +23,24 @@ _prefix = '{{ cookiecutter.project_hyphenated }}' _namespace = '{{ cookiecutter.project_slug }}' _websocket = f'{_prefix}-websocket' -_websocket_storage = f'{_prefix}-websocket-store' _output = f'{_prefix}-output' def layout(): ''' Function to define the page's layout. ''' - return my_layout(_websocket, _websocket_storage, _output) + return my_layout(_websocket, _output) # Send the initial state based on the url hash to LO. # If this is not included, nothing will be returned from # the communication protocol. clientside_callback( ClientsideFunction(namespace=_namespace, function_name='sendToLOConnection'), - Output(lodrc.LOConnectionStatusAIO.ids.websocket(_websocket), 'send'), - Input(lodrc.LOConnectionStatusAIO.ids.websocket(_websocket), 'state'), # used for initial setup + Output(lodrc.LOConnectionAIO.ids.websocket(_websocket), 'send'), + Input(lodrc.LOConnectionAIO.ids.websocket(_websocket), 'state'), # used for initial setup Input('_pages_location', 'hash') ) -# Handle receiving a message from the websocket. -# This step will parse the message and update the -# local storage accordingly. -clientside_callback( - ClientsideFunction(namespace=_namespace, function_name='receiveWSMessage'), - Output(_websocket_storage, 'data'), - Input(lodrc.LOConnectionStatusAIO.ids.websocket(_websocket), 'message'), - prevent_initial_call=True -) - # Build the UI based on what we've received from the # communicaton protocol # This clientside callback and the serverside callback below are @@ -59,13 +48,13 @@ def layout(): # clientside_callback( # ClientsideFunction(namespace=_namespace, function_name='populateOutput'), # Output(_output, 'children'), -# Input(_websocket_storage, 'data'), +# Input(lodrc.LOConnectionAIO.ids.ws_store(_websocket), 'data'), # ) @callback( Output(_output, 'children'), - Input(_websocket_storage, 'data'), + Input(lodrc.LOConnectionAIO.ids.ws_store(_websocket), 'data'), ) def populate_output(data): '''This method creates UI components for each student found diff --git a/modules/lo_template_module/{{ cookiecutter.project_slug }}/{{ cookiecutter.project_slug }}/my_layout.py b/modules/lo_template_module/{{ cookiecutter.project_slug }}/{{ cookiecutter.project_slug }}/my_layout.py index 70eea5739..f33b39111 100644 --- a/modules/lo_template_module/{{ cookiecutter.project_slug }}/{{ cookiecutter.project_slug }}/my_layout.py +++ b/modules/lo_template_module/{{ cookiecutter.project_slug }}/{{ cookiecutter.project_slug }}/my_layout.py @@ -2,22 +2,20 @@ import dash_bootstrap_components as dbc import lo_dash_react_components as lodrc -def my_layout(_websocket, _websocket_storage, _output): +def my_layout(_websocket, _output): ''' This is the layout for the static part of your dashboard which is loaded when the page first loads. * The data would be populated in a div with id _output. * We pass the _websocket so we can render a component letting us know when things updated - * We pass the _websocket_storage, although we really should bubble that up. ''' page_layout = html.Div(children=[ html.H1(children='{{ cookiecutter.project_name }}'), dbc.InputGroup([ - dbc.InputGroupText(lodrc.LOConnectionStatusAIO(aio_id=_websocket)), + dbc.InputGroupText(lodrc.LOConnectionAIO(aio_id=_websocket)), lodrc.ProfileSidebarAIO(class_name='rounded-0 rounded-end', color='secondary'), ]), - dcc.Store(id=_websocket_storage), html.H2('Output from reducers'), html.Div(id=_output) ]) @@ -29,13 +27,10 @@ def my_data_layout(data): This is the layout for the changing part of your dashboard populated from the data. ''' - if not data: + if not data or len(data.get('students', {})) == 0: return 'No students' output = [html.Div([ - lodrc.LONameTag( - profile=s['profile'], className='d-inline-block student-name-tag', - includeName=True, id=f'{s["user_id"]}-name-tag' - ), - html.Span(f' - {s["count"]} events') - ]) for s in data] + k, + html.Span(f' - {v["count"]} events') + ]) for k, v in data.get('students', {}).items()] return output diff --git a/modules/lo_template_module/{{ cookiecutter.project_slug }}/{{ cookiecutter.project_slug }}/utils.py b/modules/lo_template_module/{{ cookiecutter.project_slug }}/{{ cookiecutter.project_slug }}/utils.py new file mode 100644 index 000000000..ee1d72674 --- /dev/null +++ b/modules/lo_template_module/{{ cookiecutter.project_slug }}/{{ cookiecutter.project_slug }}/utils.py @@ -0,0 +1,28 @@ +''' +This file contains functions that are common across your package. +''' + +def increment(i): + ''' + Increment passed in variable `i`. Raise an exception if it fails. + + Simple use case + >>> increment(1) + 2 + + Raise an exception on increment error. + >>> increment('abc') + Traceback (most recent call last): + ... + Exception: Unable to increment: invalid literal for int() with base 10: 'abc' + ''' + try: + return int(i) + 1 + except Exception as e: + raise Exception(f'Unable to increment: {e}') + + +if __name__ == "__main__": + # Run doctests + import doctest + doctest.testmod(optionflags=doctest.ELLIPSIS) diff --git a/modules/lo_toy_sba/MANIFEST.in b/modules/lo_toy_sba/MANIFEST.in new file mode 100644 index 000000000..e69de29bb diff --git a/modules/lo_toy_sba/README.md b/modules/lo_toy_sba/README.md new file mode 100644 index 000000000..377245633 --- /dev/null +++ b/modules/lo_toy_sba/README.md @@ -0,0 +1,8 @@ +# LO Toy SBA + +This module provides various functionality for using the Toy SBA code within the Learning Observer system. + +The included functionality + +1. Providing a stub reducer so the Toy SBA can save/fetch state - we need a reducer that matches the source of LO Event +1. Serve the Toy SBA built NextJS output - not yet implemented diff --git a/modules/lo_toy_sba/lo_toy_sba/__init__.py b/modules/lo_toy_sba/lo_toy_sba/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/modules/lo_toy_sba/lo_toy_sba/module.py b/modules/lo_toy_sba/lo_toy_sba/module.py new file mode 100644 index 000000000..6d26ffeaa --- /dev/null +++ b/modules/lo_toy_sba/lo_toy_sba/module.py @@ -0,0 +1,80 @@ +''' +Toy-SBA Module + +Toy-SBA Module +''' +import learning_observer.communication_protocol.util +from learning_observer.stream_analytics.helpers import KeyField, Scope + +import lo_toy_sba.reducers + +# Name for the module +NAME = 'Toy-SBA Module' + +''' +Define execution DAGs for this module. We provide a default DAG +for fetching information from the provided reducer. The internal +structure looks like: + +`execution_dag`: defined directed acyclic graph (DAG) for querying data + : q.select() # or some other communication protocol query +`exports`: fetchable nodes from the execution dag + : { + "returns": , + "parameters": ["list", "of", "parameters", "needed"] + } + +NOTE interfacing with the communication protocol may change, +the current flow is the first iteration. We will mark where things +ought to be improved. +''' +EXECUTION_DAG = learning_observer.communication_protocol.util.generate_base_dag_for_student_reducer('student_event_counter', 'lo_toy_sba') + +''' +This is a simple reducer we use to ensure events are +passed into the event pipeline to save/fetch state. +We need a reducer whose context matches the source of +a page using LO Event. +''' +REDUCERS = [ + { + 'context': 'org.ets.sba', + 'scope': Scope([KeyField.STUDENT]), + 'function': lo_toy_sba.reducers.student_event_counter, + 'default': {'count': 0} + } +] + +''' +Which pages to link on the home page. +''' +COURSE_DASHBOARDS = [ + # { + # 'name': NAME, + # 'url': "/lo_toy_sba/toy-sba/", + # "icon": { + # "type": "fas", + # "icon": "fa-play-circle" + # } + # } +] + + +''' +Additional API calls we can define, this one returns the colors of the rainbow +''' +EXTRA_VIEWS = [ + # { + # 'name': 'Colors of the Rainbow', + # 'suburl': 'api/llm', + # 'method': 'POST', + # 'handler': function_to_call + # } +] + +''' +Built NextJS pages we want to serve. +''' +NEXTJS_PAGES = [ + # {'path': 'toy_sba/'} +] diff --git a/modules/lo_toy_sba/lo_toy_sba/reducers.py b/modules/lo_toy_sba/lo_toy_sba/reducers.py new file mode 100644 index 000000000..f34958ac7 --- /dev/null +++ b/modules/lo_toy_sba/lo_toy_sba/reducers.py @@ -0,0 +1,16 @@ +''' +This file defines reducers we wish to add to the incoming event +pipeline. The `learning_observer.stream_analytics` package includes +helper functions for Scoping the and setting the null state. +''' +from learning_observer.stream_analytics.helpers import student_event_reducer + + +@student_event_reducer(null_state={"count": 0}) +async def student_event_counter(event, internal_state): + ''' + An example of a per-student event counter + ''' + state = {"count": internal_state.get('count', 0) + 1} + + return state, state diff --git a/modules/lo_toy_sba/pyproject.toml b/modules/lo_toy_sba/pyproject.toml new file mode 100644 index 000000000..8fe2f47af --- /dev/null +++ b/modules/lo_toy_sba/pyproject.toml @@ -0,0 +1,3 @@ +[build-system] +requires = ["setuptools>=42", "wheel"] +build-backend = "setuptools.build_meta" diff --git a/modules/lo_toy_sba/setup.cfg b/modules/lo_toy_sba/setup.cfg new file mode 100644 index 000000000..9c06f7fa1 --- /dev/null +++ b/modules/lo_toy_sba/setup.cfg @@ -0,0 +1,10 @@ +[metadata] +name = Toy-SBA Module +description = Module for serving the Toy SBA work. + +[options] +packages = lo_toy_sba + +[options.entry_points] +lo_modules = + lo_toy_sba = lo_toy_sba.module diff --git a/modules/portfolio_diff/.gitignore b/modules/portfolio_diff/.gitignore new file mode 100644 index 000000000..5ef6a5207 --- /dev/null +++ b/modules/portfolio_diff/.gitignore @@ -0,0 +1,41 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.* +.yarn/* +!.yarn/patches +!.yarn/plugins +!.yarn/releases +!.yarn/versions + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* + +# env files (can opt-in for committing if needed) +.env* + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts diff --git a/modules/portfolio_diff/README.md b/modules/portfolio_diff/README.md new file mode 100644 index 000000000..66bb426ff --- /dev/null +++ b/modules/portfolio_diff/README.md @@ -0,0 +1,36 @@ +This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app). + +## Getting Started + +First, run the development server: + +```bash +npm run dev +# or +yarn dev +# or +pnpm dev +# or +bun dev +``` + +Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. + +You can start editing the page by modifying `app/page.js`. The page auto-updates as you edit the file. + +This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel. + +## Learn More + +To learn more about Next.js, take a look at the following resources: + +- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. +- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial. + +You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome! + +## Deploy on Vercel + +The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js. + +Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details. diff --git a/modules/portfolio_diff/build_and_add_to_module.sh b/modules/portfolio_diff/build_and_add_to_module.sh new file mode 100755 index 000000000..4f2fbbdd8 --- /dev/null +++ b/modules/portfolio_diff/build_and_add_to_module.sh @@ -0,0 +1,5 @@ +rm -rf out/ +npm run build +rm -rf ../wo_portfolio_diff/wo_portfolio_diff/portfolio_diff/ +mkdir ../wo_portfolio_diff/wo_portfolio_diff/portfolio_diff/ +cp -r out/. ../wo_portfolio_diff/wo_portfolio_diff/portfolio_diff/ diff --git a/modules/portfolio_diff/eslint.config.mjs b/modules/portfolio_diff/eslint.config.mjs new file mode 100644 index 000000000..348c45a2f --- /dev/null +++ b/modules/portfolio_diff/eslint.config.mjs @@ -0,0 +1,14 @@ +import { dirname } from "path"; +import { fileURLToPath } from "url"; +import { FlatCompat } from "@eslint/eslintrc"; + +const __filename = fileURLToPath(import.meta.url); +const __dirname = dirname(__filename); + +const compat = new FlatCompat({ + baseDirectory: __dirname, +}); + +const eslintConfig = [...compat.extends("next/core-web-vitals")]; + +export default eslintConfig; diff --git a/modules/portfolio_diff/jsconfig.json b/modules/portfolio_diff/jsconfig.json new file mode 100644 index 000000000..b8d6842d7 --- /dev/null +++ b/modules/portfolio_diff/jsconfig.json @@ -0,0 +1,7 @@ +{ + "compilerOptions": { + "paths": { + "@/*": ["./src/*"] + } + } +} diff --git a/modules/portfolio_diff/lo_event.sh b/modules/portfolio_diff/lo_event.sh new file mode 100755 index 000000000..4efe395b5 --- /dev/null +++ b/modules/portfolio_diff/lo_event.sh @@ -0,0 +1,14 @@ +# `lo_event` is the Learning Observer event library (and also `lo_assess` within it is the Learning Observer activity library, which should be factored out eventually). + +# * It's a library, and there's no practical stand-alone way to do more extensive development without some use-cases. This is a good set of use cases. +# * As we develop those, we often make changes to `lo_event` and `lo_assess`. Quite a lot, actually. + +# This script packages `lo_event` into a node package, wipes the `next.js` cache (which often contains relics before changes), and installs it. + +# Without this, development of `lo_event` is painful. Even with this, in an ideal case, we would rerun this whenever there were changes to `lo_event` automatically with some kind of watch daemon. +rm -Rf .next/cache/ +pushd ../lo_event/ +npm run prebuild +npm pack +popd +npm install ../lo_event/lo_event-0.0.3.tgz --no-save diff --git a/modules/portfolio_diff/next.config.mjs b/modules/portfolio_diff/next.config.mjs new file mode 100644 index 000000000..0f9816ced --- /dev/null +++ b/modules/portfolio_diff/next.config.mjs @@ -0,0 +1,21 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + basePath: "/_next/wo_portfolio_diff/portfolio_diff", + eslint: { + ignoreDuringBuilds: true, + }, + transpilePackages: ["lo_event"], + webpack: ( + config, + { buildId, dev, isServer, defaultLoaders, nextRuntime, webpack } + ) => { + config.resolve.fallback = { + ...config.resolve.fallback, + fs: false, // tells Webpack to ignore fs in client bundle + }; + return config; + }, + output: "export", +}; + +export default nextConfig; diff --git a/modules/portfolio_diff/package.json b/modules/portfolio_diff/package.json new file mode 100644 index 000000000..19f1880f9 --- /dev/null +++ b/modules/portfolio_diff/package.json @@ -0,0 +1,32 @@ +{ + "name": "portfolio_diff", + "version": "0.1.0", + "private": true, + "scripts": { + "dev": "next dev", + "build": "next build", + "start": "next start", + "lint": "next lint" + }, + "dependencies": { + "babel-loader": "^10.0.0", + "echarts": "^6.0.0", + "echarts-for-react": "^3.0.5", + "framer-motion": "^12.23.6", + "lo_event": "file:../lo_event", + "lucide-react": "^0.525.0", + "next": "15.3.5", + "react": "^19.0.0", + "react-dom": "^19.0.0", + "react-redux": "^9.2.0", + "recharts": "^3.1.2", + "redux": "^5.0.1" + }, + "devDependencies": { + "@eslint/eslintrc": "^3", + "@tailwindcss/postcss": "^4", + "eslint": "^9", + "eslint-config-next": "15.3.5", + "tailwindcss": "^4" + } +} diff --git a/modules/portfolio_diff/postcss.config.mjs b/modules/portfolio_diff/postcss.config.mjs new file mode 100644 index 000000000..c7bcb4b1e --- /dev/null +++ b/modules/portfolio_diff/postcss.config.mjs @@ -0,0 +1,5 @@ +const config = { + plugins: ["@tailwindcss/postcss"], +}; + +export default config; diff --git a/modules/portfolio_diff/src/app/components/Breadcrumb.js b/modules/portfolio_diff/src/app/components/Breadcrumb.js new file mode 100644 index 000000000..ce4cb03e3 --- /dev/null +++ b/modules/portfolio_diff/src/app/components/Breadcrumb.js @@ -0,0 +1,70 @@ +"use client"; + +import Link from "next/link"; +import { Home } from "lucide-react"; +import PropTypes from "prop-types"; + +export default function Breadcrumb({ + items = [], + homeHref = "/", + homeLabel = "Dashboard", + className = "", +}) { + const wrapCls = `mb-4 ${className}`.trim(); + + return ( + + ); +} + +Breadcrumb.propTypes = { + items: PropTypes.arrayOf( + PropTypes.shape({ + label: PropTypes.string.isRequired, + href: PropTypes.string, + }) + ), + homeHref: PropTypes.string, + homeLabel: PropTypes.string, + className: PropTypes.string, +}; diff --git a/modules/portfolio_diff/src/app/components/MetricsPanel.js b/modules/portfolio_diff/src/app/components/MetricsPanel.js new file mode 100644 index 000000000..e44412ee0 --- /dev/null +++ b/modules/portfolio_diff/src/app/components/MetricsPanel.js @@ -0,0 +1,904 @@ +"use client"; + +import { useCallback, useEffect, useState } from "react"; +import { + ArrowLeftRight, + ChevronDown, + FileText, + Gauge, + Languages, + ListCollapse, + MessageSquareText, + MessagesSquare, + Quote, + Speech, + Trash2, + Users, + WholeWord, +} from "lucide-react"; + +/* ---------------------- deterministic helpers ---------------------- */ +const seedFrom = (s) => { + let h = 2166136261; + for (let i = 0; i < s.length; i++) h = ((h ^ s.charCodeAt(i)) * 16777619) >>> 0; + return h >>> 0; +}; + +const HIGHLIGHT_CLASSES = [ + "bg-emerald-200/70", + "bg-sky-200/70", + "bg-amber-200/70", + "bg-rose-200/70", + "bg-indigo-200/70", + "bg-lime-200/70", + "bg-violet-200/60", + "bg-teal-200/70", + "bg-fuchsia-200/60", + "bg-orange-200/70", +]; + +const highlightClassForMetric = (metricId) => { + const idx = seedFrom(metricId || "metric") % HIGHLIGHT_CLASSES.length; + return HIGHLIGHT_CLASSES[idx]; +}; + +/* ============================================================= + METRICS (FULL LIST) — matches EssayComparison + ============================================================= */ + +const CATEGORY_LABELS = { + language: "Language", + argumentation: "Argumentation", + statements: "Statements", + transitions: "Transition Words", + pos: "Parts of Speech", + sentence_type: "Sentence Types", + source_information: "Source Information", + dialogue: "Dialogue", + tone: "Tone", + details: "Details", + other: "Other", +}; + +const iconForCategory = (catKey) => { + switch (catKey) { + case "language": + return Languages; + case "argumentation": + return MessagesSquare; + case "statements": + return MessageSquareText; + case "transitions": + return ArrowLeftRight; + case "pos": + return Speech; + case "sentence_type": + return WholeWord; + case "source_information": + return Quote; + case "dialogue": + return Users; + case "tone": + return Gauge; + case "details": + return ListCollapse; + default: + return FileText; + } +}; + +const METRIC_DEFS = [ + // language + { + id: "academic_language", + title: "Academic Language", + icon: iconForCategory("language"), + category: CATEGORY_LABELS.language, + function: "percent", + desc: "Percent of tokens flagged academic", + }, + { + id: "informal_language", + title: "Informal Language", + icon: iconForCategory("language"), + category: CATEGORY_LABELS.language, + function: "percent", + desc: "Percent of tokens flagged informal", + }, + { + id: "latinate_words", + title: "Latinate Words", + icon: iconForCategory("language"), + category: CATEGORY_LABELS.language, + function: "percent", + desc: "Percent of tokens flagged latinate", + }, + { + id: "opinion_words", + title: "Opinion Words", + icon: iconForCategory("language"), + category: CATEGORY_LABELS.language, + function: "total", + desc: "Total opinion-word signals", + }, + { + id: "emotion_words", + title: "Emotion Words", + icon: iconForCategory("language"), + category: CATEGORY_LABELS.language, + function: "percent", + desc: "Percent emotion words", + }, + + // argumentation + { + id: "argument_words", + title: "Argument Words", + icon: iconForCategory("argumentation"), + category: CATEGORY_LABELS.argumentation, + function: "percent", + desc: "Percent argument words", + }, + { + id: "explicit_argument", + title: "Explicit argument", + icon: iconForCategory("argumentation"), + category: CATEGORY_LABELS.argumentation, + function: "percent", + desc: "Percent explicit argument markers", + }, + + // statements + { + id: "statements_of_opinion", + title: "Statements of Opinion", + icon: iconForCategory("statements"), + category: CATEGORY_LABELS.statements, + function: "percent", + desc: "Percent of sentences classified as opinion", + }, + { + id: "statements_of_fact", + title: "Statements of Fact", + icon: iconForCategory("statements"), + category: CATEGORY_LABELS.statements, + function: "percent", + desc: "Percent of sentences classified as fact", + }, + + // transitions + { + id: "transition_words", + title: "Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "counts", + desc: "Transition counts (by type)", + }, + { + id: "positive_transition_words", + title: "Positive Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total positive transitions", + }, + { + id: "conditional_transition_words", + title: "Conditional Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total conditional transitions", + }, + { + id: "consequential_transition_words", + title: "Consequential Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total consequential transitions", + }, + { + id: "contrastive_transition_words", + title: "Contrastive Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total contrastive transitions", + }, + { + id: "counterpoint_transition_words", + title: "Counterpoint Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total counterpoint transitions", + }, + { + id: "comparative_transition_words", + title: "Comparative Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total comparative transitions", + }, + { + id: "cross_referential_transition_words", + title: "Cross Referential Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total cross-referential transitions", + }, + { + id: "illustrative_transition_words", + title: "Illustrative Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total illustrative transitions", + }, + { + id: "negative_transition_words", + title: "Negative Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total negative transitions", + }, + { + id: "emphatic_transition_words", + title: "Emphatic Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total emphatic transitions", + }, + { + id: "evenidentiary_transition_words", + title: "Evenidentiary_transition_words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total evidentiary transitions", + }, + { + id: "general_transition_words", + title: "General Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total general transitions", + }, + { + id: "ordinal_transition_words", + title: "Ordinal Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total ordinal transitions", + }, + { + id: "purposive_transition_words", + title: "Purposive Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total purposive transitions", + }, + { + id: "periphrastic_transition_words", + title: "Periphrastic Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total periphrastic transitions", + }, + { + id: "hypothetical_transition_words", + title: "Hypothetical Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total hypothetical transitions", + }, + { + id: "summative_transition_words", + title: "Summative Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total summative transitions", + }, + { + id: "introductory_transition_words", + title: "Introductory Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total introductory transitions", + }, + + // parts of speech + { + id: "adjectives", + title: "Adjectives", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total adjectives", + }, + { + id: "adverbs", + title: "Adverbs", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total adverbs", + }, + { + id: "nouns", + title: "Nouns", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total nouns", + }, + { + id: "proper_nouns", + title: "Proper Nouns", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total proper nouns", + }, + { + id: "verbs", + title: "Verbs", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total verbs", + }, + { + id: "numbers", + title: "Numbers", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total numbers", + }, + { + id: "prepositions", + title: "Prepositions", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total prepositions", + }, + { + id: "coordinating_conjunction", + title: "Coordinating Conjunction", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total coordinating conjunctions", + }, + { + id: "subordinating_conjunction", + title: "Subordinating Conjunction", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total subordinating conjunctions", + }, + { + id: "auxiliary_verb", + title: "Auxiliary Verb", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total auxiliary verbs", + }, + { + id: "pronoun", + title: "Pronoun", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total pronouns", + }, + + // sentence types + { + id: "simple_sentences", + title: "Simple Sentences", + icon: iconForCategory("sentence_type"), + category: CATEGORY_LABELS.sentence_type, + function: "total", + desc: "Total simple sentences", + }, + { + id: "simple_with_complex_predicates", + title: "Simple with Complex Predicates", + icon: iconForCategory("sentence_type"), + category: CATEGORY_LABELS.sentence_type, + function: "total", + desc: "Total simple (complex predicates)", + }, + { + id: "simple_with_compound_predicates", + title: "Simple with Compound Predicates", + icon: iconForCategory("sentence_type"), + category: CATEGORY_LABELS.sentence_type, + function: "total", + desc: "Total simple (compound predicates)", + }, + { + id: "simple_with_compound_complex_predicates", + title: "Simple with Compound Complex Predicates", + icon: iconForCategory("sentence_type"), + category: CATEGORY_LABELS.sentence_type, + function: "total", + desc: "Total simple (compound complex predicates)", + }, + { + id: "compound_sentences", + title: "Compound Sentences", + icon: iconForCategory("sentence_type"), + category: CATEGORY_LABELS.sentence_type, + function: "total", + desc: "Total compound sentences", + }, + { + id: "complex_sentences", + title: "Complex Sentences", + icon: iconForCategory("sentence_type"), + category: CATEGORY_LABELS.sentence_type, + function: "total", + desc: "Total complex sentences", + }, + { + id: "compound_complex_sentences", + title: "Compound Complex Sentences", + icon: iconForCategory("sentence_type"), + category: CATEGORY_LABELS.sentence_type, + function: "total", + desc: "Total compound-complex sentences", + }, + + // source info + { + id: "information_sources", + title: "Information Sources", + icon: iconForCategory("source_information"), + category: CATEGORY_LABELS.source_information, + function: "percent", + desc: "Percent source references", + }, + { + id: "attributions", + title: "Attributions", + icon: iconForCategory("source_information"), + category: CATEGORY_LABELS.source_information, + function: "percent", + desc: "Percent attributions", + }, + { + id: "citations", + title: "Citations", + icon: iconForCategory("source_information"), + category: CATEGORY_LABELS.source_information, + function: "percent", + desc: "Percent citations", + }, + { + id: "quoted_words", + title: "Quoted Words", + icon: iconForCategory("source_information"), + category: CATEGORY_LABELS.source_information, + function: "percent", + desc: "Percent quoted words", + }, + + // dialogue + { + id: "direct_speech_verbs", + title: "Direct Speech Verbs", + icon: iconForCategory("dialogue"), + category: CATEGORY_LABELS.dialogue, + function: "percent", + desc: "Percent direct speech verbs", + }, + { + id: "indirect_speech", + title: "Indirect Speech", + icon: iconForCategory("dialogue"), + category: CATEGORY_LABELS.dialogue, + function: "percent", + desc: "Percent indirect speech", + }, + + // tone + { + id: "positive_tone", + title: "Positive Tone", + icon: iconForCategory("tone"), + category: CATEGORY_LABELS.tone, + function: "percent", + desc: "Percent positive tone", + }, + { + id: "negative_tone", + title: "Negative Tone", + icon: iconForCategory("tone"), + category: CATEGORY_LABELS.tone, + function: "percent", + desc: "Percent negative tone", + }, + + // details + { + id: "concrete_details", + title: "Concrete Details", + icon: iconForCategory("details"), + category: CATEGORY_LABELS.details, + function: "percent", + desc: "Percent concrete details", + }, + { + id: "main_idea_sentences", + title: "Main Idea Sentences", + icon: iconForCategory("details"), + category: CATEGORY_LABELS.details, + function: "total", + desc: "Total main idea sentences", + }, + { + id: "supporting_idea_sentences", + title: "Supporting Idea Sentences", + icon: iconForCategory("details"), + category: CATEGORY_LABELS.details, + function: "total", + desc: "Total supporting idea sentences", + }, + { + id: "supporting_detail_sentences", + title: "Supporting Detail Sentences", + icon: iconForCategory("details"), + category: CATEGORY_LABELS.details, + function: "total", + desc: "Total supporting detail sentences", + }, + + // other + { + id: "polysyllabic_words", + title: "Polysyllabic Words", + icon: iconForCategory("other"), + category: CATEGORY_LABELS.other, + function: "percent", + desc: "Percent polysyllabic tokens", + }, + { + id: "low_frequency_words", + title: "Low Frequency Words", + icon: iconForCategory("other"), + category: CATEGORY_LABELS.other, + function: "percent", + desc: "Percent low-frequency tokens", + }, + { + id: "sentences", + title: "Sentences", + icon: iconForCategory("other"), + category: CATEGORY_LABELS.other, + function: "total", + desc: "Total sentences", + }, + { + id: "paragraphs", + title: "Paragraphs", + icon: iconForCategory("other"), + category: CATEGORY_LABELS.other, + function: "total", + desc: "Total paragraphs", + }, + { + id: "character_trait_words", + title: "Character Trait Words", + icon: iconForCategory("other"), + category: CATEGORY_LABELS.other, + function: "percent", + desc: "Percent character trait tokens", + }, + { + id: "in_past_tense", + title: "In Past Tense", + icon: iconForCategory("other"), + category: CATEGORY_LABELS.other, + function: "percent", + desc: "Percent past tense scope", + }, + { + id: "explicit_claims", + title: "Explicit Claims", + icon: iconForCategory("other"), + category: CATEGORY_LABELS.other, + function: "percent", + desc: "Percent explicit claims", + }, + { + id: "social_awareness", + title: "Social Awareness", + icon: iconForCategory("other"), + category: CATEGORY_LABELS.other, + function: "percent", + desc: "Percent social awareness", + }, +]; + +const ALL_KEYS = METRIC_DEFS.map((m) => m.id); +const CATEGORIES = Array.from(new Set(METRIC_DEFS.map((m) => m.category))); + +const DEFAULT_PRESETS = { + "Core (language + structure)": [ + "academic_language", + "informal_language", + "latinate_words", + "transition_words", + "citations", + "sentences", + "paragraphs", + ], + "Sources & Evidence": ["information_sources", "attributions", "citations", "quoted_words"], +}; + +const PRESETS_STORAGE_KEY = "wo_metric_presets_v1"; + +/* ---------------------- presets helpers ---------------------- */ +function safeParseJSON(s) { + try { + return JSON.parse(s); + } catch { + return null; + } +} + +function normalizePresetMetrics(arr) { + const uniq = Array.from(new Set((arr || []).filter(Boolean))); + const known = new Set(ALL_KEYS); + return uniq.filter((id) => known.has(id)); +} + +/* ============================================================= + MetricsPanel (updated to match EssayComparison sidebar) + - Keeps backward compat with your existing call: + + ============================================================= */ + +export function MetricsPanel({ + // Backward-compatible props + metrics, + setMetrics, + + // Optional UI knobs + stickyTopClassName = "top-24", + title = "Metrics", + className = "", + panelClassName = "", + useSticky = true, +}) { + const selectedMetrics = Array.isArray(metrics) ? metrics : []; + const setSelectedMetrics = typeof setMetrics === "function" ? setMetrics : () => {}; + + /* ---------------------- Presets (stateful, deletable, creatable) ---------------------- */ + const [presets, setPresets] = useState(DEFAULT_PRESETS); + const [presetName, setPresetName] = useState(""); + + useEffect(() => { + if (typeof window === "undefined") return; + const raw = window.localStorage.getItem(PRESETS_STORAGE_KEY); + const parsed = raw ? safeParseJSON(raw) : null; + + if (parsed && typeof parsed === "object") { + const merged = { ...DEFAULT_PRESETS }; + for (const [k, v] of Object.entries(parsed)) { + if (!k) continue; + merged[k] = normalizePresetMetrics(v); + } + setPresets(merged); + } else { + setPresets(DEFAULT_PRESETS); + } + }, []); + + useEffect(() => { + if (typeof window === "undefined") return; + window.localStorage.setItem(PRESETS_STORAGE_KEY, JSON.stringify(presets)); + }, [presets]); + + const createPreset = useCallback(() => { + const name = (presetName || "").trim(); + if (!name) return; + + const arr = normalizePresetMetrics(selectedMetrics); + if (!arr.length) return; + + setPresets((prev) => ({ + ...prev, + [name]: arr, + })); + setPresetName(""); + }, [presetName, selectedMetrics]); + + const deletePreset = useCallback((name) => { + setPresets((prev) => { + const next = { ...prev }; + delete next[name]; + if (!Object.keys(next).length) return { ...DEFAULT_PRESETS }; + return next; + }); + }, []); + + const applyPreset = useCallback( + (name) => { + const arr = presets?.[name] || []; + setSelectedMetrics(normalizePresetMetrics(arr)); + }, + [presets, setSelectedMetrics] + ); + + /* ---------------------- Category collapse state ---------------------- */ + const [expanded, setExpanded] = useState(() => { + const o = {}; + CATEGORIES.forEach((c) => (o[c] = true)); + return o; + }); + + const handleMetricToggle = useCallback( + (id) => { + setSelectedMetrics((prev) => + (prev || []).includes(id) ? prev.filter((x) => x !== id) : [...(prev || []), id] + ); + }, + [setSelectedMetrics] + ); + + const selectedCount = selectedMetrics.length; + + return ( + + ); +} diff --git a/modules/portfolio_diff/src/app/components/Navbar.js b/modules/portfolio_diff/src/app/components/Navbar.js new file mode 100644 index 000000000..042a97a4d --- /dev/null +++ b/modules/portfolio_diff/src/app/components/Navbar.js @@ -0,0 +1,224 @@ +"use client"; + +import { useEffect, useRef, useState } from "react"; +import { + Search, + Bell, + User, + ChevronDown, + Menu, + X, + BookOpen, + LogOut, + Link, + Home +} from "lucide-react"; +import { navigateTo } from "../utils/navigation"; + +export default function Navbar() { + const [open, setOpen] = useState(false); // mobile sheet + const [menuOpen, setMenuOpen] = useState(false); // desktop profile menu + const [courseDashboards, setCourseDashboards] = useState([]); + const menuRef = useRef(null); + + const dashboardLinks = [ + { name: "Home", url: "/", preserveHash: false }, + ...courseDashboards.map((dashboard) => ({ + ...dashboard, + preserveHash: true, + })), + ]; + + const getDashboardHref = (dashboard) => { + if (typeof window === "undefined") return dashboard.url; + + if (!dashboard.preserveHash) return dashboard.url; + return `${dashboard.url}${window.location.hash || ""}`; + }; + + useEffect(() => { + const loadCourseDashboards = async () => { + try { + const response = await fetch("/webapi/course_dashboards"); + if (!response.ok) return; + const dashboards = await response.json(); + if (!Array.isArray(dashboards)) return; + + setCourseDashboards( + dashboards.filter((dashboard) => dashboard?.name && dashboard?.url) + ); + } catch { + setCourseDashboards([]); + } + }; + + loadCourseDashboards(); + }, []); + + // Close profile menu on outside click + useEffect(() => { + const onClick = (e) => { + if (!menuRef.current) return; + if (!menuRef.current.contains(e.target)) setMenuOpen(false); + }; + const onKey = (e) => { + if (e.key === "Escape") setMenuOpen(false); + }; + window.addEventListener("mousedown", onClick); + window.addEventListener("keydown", onKey); + return () => { + window.removeEventListener("mousedown", onClick); + window.removeEventListener("keydown", onKey); + }; + }, []); + + return ( +
+ + + {/* Mobile sheet */} +
+
+
+ + +
+ + {/* Mobile profile actions */} +
+
+
+
+ +
+
+

Dashboards

+
+
+
+ +
+ {dashboardLinks.map((dashboard) => ( + setOpen(false)} + > + {dashboard.name} + + ))} + +
+
+
+
+
+ ); +} diff --git a/modules/portfolio_diff/src/app/components/TypeFilterDropdown.js b/modules/portfolio_diff/src/app/components/TypeFilterDropdown.js new file mode 100644 index 000000000..d97516057 --- /dev/null +++ b/modules/portfolio_diff/src/app/components/TypeFilterDropdown.js @@ -0,0 +1,104 @@ +import { useState, useRef, useEffect } from "react"; +import { ChevronDown, Filter } from "lucide-react"; +import { motion, AnimatePresence } from "framer-motion"; + +const essayTypes = [ + "Argumentative", + "Narrative", + "Personal", + "Analytical", + "Reflective", + "Opinion", + "Education", + "Descriptive", + "Experience", + "Economics", + "Research", +]; + +export default function TypeFilterDropdown({ selectedTypes, setSelectedTypes }) { + const [isDropdownOpen, setIsDropdownOpen] = useState(false); + const dropdownRef = useRef(null); + + const toggleType = (type) => { + setSelectedTypes((prev) => + prev.includes(type) ? prev.filter((t) => t !== type) : [...prev, type] + ); + }; + + const handleClearAll = () => { + setSelectedTypes([]); + }; + + // Close on outside click + useEffect(() => { + function handleClickOutside(event) { + if (dropdownRef.current && !dropdownRef.current.contains(event.target)) { + setIsDropdownOpen(false); + } + } + document.addEventListener("mousedown", handleClickOutside); + return () => document.removeEventListener("mousedown", handleClickOutside); + }, []); + + return ( +
+ {/* Toggle Button */} + + + {/* Dropdown Panel with Animation */} + + {isDropdownOpen && ( + +
+ + + {essayTypes.map((type) => ( + + ))} +
+ + )} + +
+ ); +} diff --git a/modules/portfolio_diff/src/app/favicon.ico b/modules/portfolio_diff/src/app/favicon.ico new file mode 100644 index 000000000..718d6fea4 Binary files /dev/null and b/modules/portfolio_diff/src/app/favicon.ico differ diff --git a/modules/portfolio_diff/src/app/globals.css b/modules/portfolio_diff/src/app/globals.css new file mode 100644 index 000000000..7ddd1f015 --- /dev/null +++ b/modules/portfolio_diff/src/app/globals.css @@ -0,0 +1,43 @@ +@import "tailwindcss"; + +:root { + --background: #ffffff; + --foreground: #171717; +} + +@theme inline { + --color-background: var(--background); + --color-foreground: var(--foreground); + --font-sans: var(--font-geist-sans); + --font-mono: var(--font-geist-mono); +} + +@media (prefers-color-scheme: dark) { + :root { + --background: #0a0a0a; + --background: #f2f2f2; + --foreground: #ededed; + } +} + +body { + background: var(--background); + font-family: Arial, Helvetica, sans-serif; +} + +a, button { + cursor: pointer; +} + +.text-p { + font-size: 15px; +} + + +.dashboard-card { + cursor: pointer; + box-sizing: border-box; + border: 1px solid rgba(60,73,81,0.16); + border-radius: 8px; + box-shadow: 0 4px 0 0 rgba(35,57,91,0.08); +} \ No newline at end of file diff --git a/modules/portfolio_diff/src/app/hooks/useCourseId.js b/modules/portfolio_diff/src/app/hooks/useCourseId.js new file mode 100644 index 000000000..6a57b5b51 --- /dev/null +++ b/modules/portfolio_diff/src/app/hooks/useCourseId.js @@ -0,0 +1,92 @@ +"use client"; + +import { useCallback, useEffect, useMemo, useState } from "react"; + +const STORAGE_KEY = "wo_course_id"; + +/** + * Parses hash params like: + * "#course_id=12345678901;tool=WritingObserver" + * Supports separators: ";" or "&" + */ +function parseHashParams(hash) { + const raw = (hash || "").replace(/^#/, ""); + const out = {}; + if (!raw) return out; + + const parts = raw.split(/[;&]/g).filter(Boolean); + for (const part of parts) { + const [k, ...rest] = part.split("="); + if (!k) continue; + const v = rest.join("="); + out[decodeURIComponent(k)] = decodeURIComponent(v ?? ""); + } + return out; +} + +function getCourseIdFromHash() { + if (typeof window === "undefined") return null; + const params = parseHashParams(window.location.hash); + return params.course_id || null; +} + +function getCourseIdFromStorage() { + if (typeof window === "undefined") return null; + try { + return window.localStorage.getItem(STORAGE_KEY); + } catch { + return null; + } +} + +function setCourseIdToStorage(courseId) { + if (typeof window === "undefined") return; + try { + if (courseId) window.localStorage.setItem(STORAGE_KEY, String(courseId)); + else window.localStorage.removeItem(STORAGE_KEY); + } catch { + // ignore storage failures (private mode, etc.) + } +} + +/** + * useCourseId + * - If URL hash has course_id => use it AND persist it. + * - Else fall back to localStorage. + * - Listens to hash changes. + */ +export function useCourseId() { + const [courseId, _setCourseId] = useState(null); + + // initialize + keep in sync with hash changes + useEffect(() => { + const sync = () => { + const fromHash = getCourseIdFromHash(); + if (fromHash) { + _setCourseId(fromHash); + setCourseIdToStorage(fromHash); + return; + } + + const fromStorage = getCourseIdFromStorage(); + _setCourseId(fromStorage || null); + }; + + sync(); + window.addEventListener("hashchange", sync); + return () => window.removeEventListener("hashchange", sync); + }, []); + + // allow manual overrides (and persist them) + const setCourseId = useCallback((next) => { + const value = next ? String(next) : null; + _setCourseId(value); + setCourseIdToStorage(value); + }, []); + + const ready = useMemo(() => courseId !== undefined, [courseId]); + + console.log("courseId: ", courseId) + + return { courseId, setCourseId, ready }; +} diff --git a/modules/portfolio_diff/src/app/layout.js b/modules/portfolio_diff/src/app/layout.js new file mode 100644 index 000000000..a588683e3 --- /dev/null +++ b/modules/portfolio_diff/src/app/layout.js @@ -0,0 +1,21 @@ +import Navbar from "./components/Navbar"; +import { CourseIdProvider } from "@/app/providers/CourseIdProvider"; +import "./globals.css"; + +export const metadata = { + title: "Writing Portfolio", + description: "Generated by create next app", +}; + +export default function RootLayout({ children }) { + return ( + + + + + {children} + + + + ); +} diff --git a/modules/portfolio_diff/src/app/page.js b/modules/portfolio_diff/src/app/page.js new file mode 100644 index 000000000..24252a56f --- /dev/null +++ b/modules/portfolio_diff/src/app/page.js @@ -0,0 +1,7 @@ +"use client"; + +import StudentsPage from "./students/page"; + +export default function WritingPortfolioDashboard() { + return ; +} \ No newline at end of file diff --git a/modules/portfolio_diff/src/app/providers/CourseIdProvider.jsx b/modules/portfolio_diff/src/app/providers/CourseIdProvider.jsx new file mode 100644 index 000000000..d765d6f77 --- /dev/null +++ b/modules/portfolio_diff/src/app/providers/CourseIdProvider.jsx @@ -0,0 +1,35 @@ +"use client"; + +import React, { createContext, useContext } from "react"; +import { useCourseId } from "@/app/hooks/useCourseId"; + +/** + * React context for sharing the current course ID state + * across the component tree without prop drilling. + */ +const CourseIdContext = createContext(null); + +/** + * Provides the course ID context to all descendant components. + * + * Internally calls `useCourseId()` and exposes its return value + * via React Context. + * + * Must wrap any component that calls `useCourseIdContext()`. + */ +export function CourseIdProvider({ children }) { + const value = useCourseId(); + return {children}; +} + +/** + * Custom hook to access the course ID context. + * + * Throws an error if used outside of `CourseIdProvider` + * to prevent silent failures and undefined access. + */ +export function useCourseIdContext() { + const ctx = useContext(CourseIdContext); + if (!ctx) throw new Error("useCourseIdContext must be used within CourseIdProvider"); + return ctx; +} diff --git a/modules/portfolio_diff/src/app/students/compare/page.js b/modules/portfolio_diff/src/app/students/compare/page.js new file mode 100644 index 000000000..1a9fe796f --- /dev/null +++ b/modules/portfolio_diff/src/app/students/compare/page.js @@ -0,0 +1,1946 @@ +"use client"; + +import { navigateTo } from "@/app/utils/navigation"; +import { + ArrowLeftRight, + Check, + ChevronDown, + Clock, + Eye, + FileText, + Focus, + Gauge, + Languages, + ListCollapse, + MessageSquareText, + MessagesSquare, + Minus, + Quote, + RefreshCw, + Search, + Speech, + TrendingDown, + TrendingUp, + Users, + WholeWord, + X, +} from "lucide-react"; +import { useCallback, useEffect, useMemo, useRef, useState } from "react"; + +import { useLOConnectionDataManager, LOConnectionLastUpdated } from "lo_event/lo_event/lo_assess/components/components.jsx"; +import dynamic from "next/dynamic"; + +import { MetricsPanel } from "@/app/components/MetricsPanel"; +import { useCourseIdContext } from "@/app/providers/CourseIdProvider"; +import { getWsOriginFromWindow } from "@/app/utils/ws"; + +/* ---------------------- deterministic helpers ---------------------- */ +const seedFrom = (s) => { + let h = 2166136261; + for (let i = 0; i < s.length; i++) h = ((h ^ s.charCodeAt(i)) * 16777619) >>> 0; + return h >>> 0; +}; + +/* ============================================================= + OFFSET HIGHLIGHTING HELPERS (multi-metric, overlap-safe) + ============================================================= */ + +const HIGHLIGHT_CLASSES = [ + "bg-emerald-200/70", + "bg-sky-200/70", + "bg-amber-200/70", + "bg-rose-200/70", + "bg-indigo-200/70", + "bg-lime-200/70", + "bg-violet-200/60", + "bg-teal-200/70", + "bg-fuchsia-200/60", + "bg-orange-200/70", +]; + +const highlightClassForMetric = (metricId) => { + const idx = seedFrom(metricId || "metric") % HIGHLIGHT_CLASSES.length; + return HIGHLIGHT_CLASSES[idx]; +}; + +function buildSpansFromDoc(doc, metricIds) { + const text = (doc?.text || "").toString(); + const spans = []; + + for (const metricId of metricIds || []) { + const m = doc?.[metricId]; + const offsets = m?.offsets; + if (!Array.isArray(offsets)) continue; + + for (const pair of offsets) { + if (!Array.isArray(pair) || pair.length < 2) continue; + const start = Number(pair[0]); + const len = Number(pair[1]); + if (!Number.isFinite(start) || !Number.isFinite(len) || len <= 0) continue; + + const end = start + len; + + const s = Math.max(0, Math.min(text.length, start)); + const e = Math.max(0, Math.min(text.length, end)); + if (e > s) spans.push({ start: s, end: e, metricId }); + } + } + + spans.sort((a, b) => a.start - b.start || b.end - b.start - (a.end - a.start)); + return { text, spans }; +} + +function segmentTextBySpans(text, spans) { + const cuts = new Set([0, text.length]); + for (const s of spans) { + cuts.add(s.start); + cuts.add(s.end); + } + const points = Array.from(cuts).sort((a, b) => a - b); + + const segs = []; + for (let i = 0; i < points.length - 1; i++) { + const a = points[i], + b = points[i + 1]; + if (b <= a) continue; + + const active = []; + for (const sp of spans) { + if (sp.start <= a && sp.end >= b) active.push(sp.metricId); + } + + segs.push({ start: a, end: b, text: text.slice(a, b), active }); + } + return segs; +} + +/* ============================================================= + METRICS (FULL LIST) + ============================================================= */ + +const CATEGORY_LABELS = { + language: "Language", + argumentation: "Argumentation", + statements: "Statements", + transitions: "Transition Words", + pos: "Parts of Speech", + sentence_type: "Sentence Types", + source_information: "Source Information", + dialogue: "Dialogue", + tone: "Tone", + details: "Details", + other: "Other", +}; + +const iconForCategory = (catKey) => { + switch (catKey) { + case "language": + return Languages; + case "argumentation": + return MessagesSquare; + case "statements": + return MessageSquareText; + case "transitions": + return ArrowLeftRight; + case "pos": + return Speech; + case "sentence_type": + return WholeWord; + case "source_information": + return Quote; + case "dialogue": + return Users; + case "tone": + return Gauge; + case "details": + return ListCollapse; + default: + return FileText; + } +}; + +const METRIC_DEFS = [ + // language + { + id: "academic_language", + title: "Academic Language", + icon: iconForCategory("language"), + category: CATEGORY_LABELS.language, + function: "percent", + desc: "Percent of tokens flagged academic", + }, + { + id: "informal_language", + title: "Informal Language", + icon: iconForCategory("language"), + category: CATEGORY_LABELS.language, + function: "percent", + desc: "Percent of tokens flagged informal", + }, + { + id: "latinate_words", + title: "Latinate Words", + icon: iconForCategory("language"), + category: CATEGORY_LABELS.language, + function: "percent", + desc: "Percent of tokens flagged latinate", + }, + { + id: "opinion_words", + title: "Opinion Words", + icon: iconForCategory("language"), + category: CATEGORY_LABELS.language, + function: "total", + desc: "Total opinion-word signals", + }, + { + id: "emotion_words", + title: "Emotion Words", + icon: iconForCategory("language"), + category: CATEGORY_LABELS.language, + function: "percent", + desc: "Percent emotion words", + }, + + // argumentation + { + id: "argument_words", + title: "Argument Words", + icon: iconForCategory("argumentation"), + category: CATEGORY_LABELS.argumentation, + function: "percent", + desc: "Percent argument words", + }, + { + id: "explicit_argument", + title: "Explicit argument", + icon: iconForCategory("argumentation"), + category: CATEGORY_LABELS.argumentation, + function: "percent", + desc: "Percent explicit argument markers", + }, + + // statements + { + id: "statements_of_opinion", + title: "Statements of Opinion", + icon: iconForCategory("statements"), + category: CATEGORY_LABELS.statements, + function: "percent", + desc: "Percent of sentences classified as opinion", + }, + { + id: "statements_of_fact", + title: "Statements of Fact", + icon: iconForCategory("statements"), + category: CATEGORY_LABELS.statements, + function: "percent", + desc: "Percent of sentences classified as fact", + }, + + // transitions + { + id: "transition_words", + title: "Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "counts", + desc: "Transition counts (by type)", + }, + { + id: "positive_transition_words", + title: "Positive Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total positive transitions", + }, + { + id: "conditional_transition_words", + title: "Conditional Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total conditional transitions", + }, + { + id: "consequential_transition_words", + title: "Consequential Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total consequential transitions", + }, + { + id: "contrastive_transition_words", + title: "Contrastive Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total contrastive transitions", + }, + { + id: "counterpoint_transition_words", + title: "Counterpoint Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total counterpoint transitions", + }, + { + id: "comparative_transition_words", + title: "Comparative Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total comparative transitions", + }, + { + id: "cross_referential_transition_words", + title: "Cross Referential Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total cross-referential transitions", + }, + { + id: "illustrative_transition_words", + title: "Illustrative Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total illustrative transitions", + }, + { + id: "negative_transition_words", + title: "Negative Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total negative transitions", + }, + { + id: "emphatic_transition_words", + title: "Emphatic Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total emphatic transitions", + }, + { + id: "evenidentiary_transition_words", + title: "Evenidentiary_transition_words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total evidentiary transitions", + }, + { + id: "general_transition_words", + title: "General Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total general transitions", + }, + { + id: "ordinal_transition_words", + title: "Ordinal Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total ordinal transitions", + }, + { + id: "purposive_transition_words", + title: "Purposive Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total purposive transitions", + }, + { + id: "periphrastic_transition_words", + title: "Periphrastic Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total periphrastic transitions", + }, + { + id: "hypothetical_transition_words", + title: "Hypothetical Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total hypothetical transitions", + }, + { + id: "summative_transition_words", + title: "Summative Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total summative transitions", + }, + { + id: "introductory_transition_words", + title: "Introductory Transition Words", + icon: iconForCategory("transitions"), + category: CATEGORY_LABELS.transitions, + function: "total", + desc: "Total introductory transitions", + }, + + // parts of speech + { + id: "adjectives", + title: "Adjectives", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total adjectives", + }, + { + id: "adverbs", + title: "Adverbs", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total adverbs", + }, + { + id: "nouns", + title: "Nouns", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total nouns", + }, + { + id: "proper_nouns", + title: "Proper Nouns", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total proper nouns", + }, + { + id: "verbs", + title: "Verbs", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total verbs", + }, + { + id: "numbers", + title: "Numbers", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total numbers", + }, + { + id: "prepositions", + title: "Prepositions", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total prepositions", + }, + { + id: "coordinating_conjunction", + title: "Coordinating Conjunction", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total coordinating conjunctions", + }, + { + id: "subordinating_conjunction", + title: "Subordinating Conjunction", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total subordinating conjunctions", + }, + { + id: "auxiliary_verb", + title: "Auxiliary Verb", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total auxiliary verbs", + }, + { + id: "pronoun", + title: "Pronoun", + icon: iconForCategory("pos"), + category: CATEGORY_LABELS.pos, + function: "total", + desc: "Total pronouns", + }, + + // sentence types + { + id: "simple_sentences", + title: "Simple Sentences", + icon: iconForCategory("sentence_type"), + category: CATEGORY_LABELS.sentence_type, + function: "total", + desc: "Total simple sentences", + }, + { + id: "simple_with_complex_predicates", + title: "Simple with Complex Predicates", + icon: iconForCategory("sentence_type"), + category: CATEGORY_LABELS.sentence_type, + function: "total", + desc: "Total simple (complex predicates)", + }, + { + id: "simple_with_compound_predicates", + title: "Simple with Compound Predicates", + icon: iconForCategory("sentence_type"), + category: CATEGORY_LABELS.sentence_type, + function: "total", + desc: "Total simple (compound predicates)", + }, + { + id: "simple_with_compound_complex_predicates", + title: "Simple with Compound Complex Predicates", + icon: iconForCategory("sentence_type"), + category: CATEGORY_LABELS.sentence_type, + function: "total", + desc: "Total simple (compound complex predicates)", + }, + { + id: "compound_sentences", + title: "Compound Sentences", + icon: iconForCategory("sentence_type"), + category: CATEGORY_LABELS.sentence_type, + function: "total", + desc: "Total compound sentences", + }, + { + id: "complex_sentences", + title: "Complex Sentences", + icon: iconForCategory("sentence_type"), + category: CATEGORY_LABELS.sentence_type, + function: "total", + desc: "Total complex sentences", + }, + { + id: "compound_complex_sentences", + title: "Compound Complex Sentences", + icon: iconForCategory("sentence_type"), + category: CATEGORY_LABELS.sentence_type, + function: "total", + desc: "Total compound-complex sentences", + }, + + // source info + { + id: "information_sources", + title: "Information Sources", + icon: iconForCategory("source_information"), + category: CATEGORY_LABELS.source_information, + function: "percent", + desc: "Percent source references", + }, + { + id: "attributions", + title: "Attributions", + icon: iconForCategory("source_information"), + category: CATEGORY_LABELS.source_information, + function: "percent", + desc: "Percent attributions", + }, + { + id: "citations", + title: "Citations", + icon: iconForCategory("source_information"), + category: CATEGORY_LABELS.source_information, + function: "percent", + desc: "Percent citations", + }, + { + id: "quoted_words", + title: "Quoted Words", + icon: iconForCategory("source_information"), + category: CATEGORY_LABELS.source_information, + function: "percent", + desc: "Percent quoted words", + }, + + // dialogue + { + id: "direct_speech_verbs", + title: "Direct Speech Verbs", + icon: iconForCategory("dialogue"), + category: CATEGORY_LABELS.dialogue, + function: "percent", + desc: "Percent direct speech verbs", + }, + { + id: "indirect_speech", + title: "Indirect Speech", + icon: iconForCategory("dialogue"), + category: CATEGORY_LABELS.dialogue, + function: "percent", + desc: "Percent indirect speech", + }, + + // tone + { + id: "positive_tone", + title: "Positive Tone", + icon: iconForCategory("tone"), + category: CATEGORY_LABELS.tone, + function: "percent", + desc: "Percent positive tone", + }, + { + id: "negative_tone", + title: "Negative Tone", + icon: iconForCategory("tone"), + category: CATEGORY_LABELS.tone, + function: "percent", + desc: "Percent negative tone", + }, + + // details + { + id: "concrete_details", + title: "Concrete Details", + icon: iconForCategory("details"), + category: CATEGORY_LABELS.details, + function: "percent", + desc: "Percent concrete details", + }, + { + id: "main_idea_sentences", + title: "Main Idea Sentences", + icon: iconForCategory("details"), + category: CATEGORY_LABELS.details, + function: "total", + desc: "Total main idea sentences", + }, + { + id: "supporting_idea_sentences", + title: "Supporting Idea Sentences", + icon: iconForCategory("details"), + category: CATEGORY_LABELS.details, + function: "total", + desc: "Total supporting idea sentences", + }, + { + id: "supporting_detail_sentences", + title: "Supporting Detail Sentences", + icon: iconForCategory("details"), + category: CATEGORY_LABELS.details, + function: "total", + desc: "Total supporting detail sentences", + }, + + // other + { + id: "polysyllabic_words", + title: "Polysyllabic Words", + icon: iconForCategory("other"), + category: CATEGORY_LABELS.other, + function: "percent", + desc: "Percent polysyllabic tokens", + }, + { + id: "low_frequency_words", + title: "Low Frequency Words", + icon: iconForCategory("other"), + category: CATEGORY_LABELS.other, + function: "percent", + desc: "Percent low-frequency tokens", + }, + { + id: "sentences", + title: "Sentences", + icon: iconForCategory("other"), + category: CATEGORY_LABELS.other, + function: "total", + desc: "Total sentences", + }, + { + id: "paragraphs", + title: "Paragraphs", + icon: iconForCategory("other"), + category: CATEGORY_LABELS.other, + function: "total", + desc: "Total paragraphs", + }, + { + id: "character_trait_words", + title: "Character Trait Words", + icon: iconForCategory("other"), + category: CATEGORY_LABELS.other, + function: "percent", + desc: "Percent character trait tokens", + }, + { + id: "in_past_tense", + title: "In Past Tense", + icon: iconForCategory("other"), + category: CATEGORY_LABELS.other, + function: "percent", + desc: "Percent past tense scope", + }, + { + id: "explicit_claims", + title: "Explicit Claims", + icon: iconForCategory("other"), + category: CATEGORY_LABELS.other, + function: "percent", + desc: "Percent explicit claims", + }, + { + id: "social_awareness", + title: "Social Awareness", + icon: iconForCategory("other"), + category: CATEGORY_LABELS.other, + function: "percent", + desc: "Percent social awareness", + }, +]; + +const METRIC_BY_ID = Object.fromEntries(METRIC_DEFS.map((m) => [m.id, m])); + +/* ---------------------- Tooltip values from backend ---------------------- */ +const PERCENT_IDS = new Set(METRIC_DEFS.filter((m) => m.function === "percent").map((m) => m.id)); + +const formatMetricValue = (value, id) => { + if (value == null) return "—"; + if (PERCENT_IDS.has(id)) return `${Math.round(Number(value))}%`; + if (typeof value === "number") return Number.isInteger(value) ? String(value) : value.toFixed(1); + const n = Number(value); + return Number.isNaN(n) ? String(value) : n.toFixed(1); +}; + +/* ============================================================= + coverage-based metric value from offsets + ============================================================= */ +function metricCoveragePercent(doc, metricId) { + const text = (doc?.text || "").toString(); + const L = text.length; + if (!L) return 0; + + const offsets = doc?.[metricId]?.offsets; + if (!Array.isArray(offsets) || offsets.length === 0) return 0; + + const ranges = []; + for (const pair of offsets) { + if (!Array.isArray(pair) || pair.length < 2) continue; + const start = Number(pair[0]); + const len = Number(pair[1]); + if (!Number.isFinite(start) || !Number.isFinite(len) || len <= 0) continue; + + let s = Math.max(0, Math.min(L, start)); + let e = Math.max(0, Math.min(L, start + len)); + if (e > s) ranges.push([s, e]); + } + if (!ranges.length) return 0; + + ranges.sort((a, b) => a[0] - b[0] || a[1] - b[1]); + + let covered = 0; + let [curS, curE] = ranges[0]; + + for (let i = 1; i < ranges.length; i++) { + const [s, e] = ranges[i]; + if (s <= curE) { + curE = Math.max(curE, e); + } else { + covered += curE - curS; + curS = s; + curE = e; + } + } + covered += curE - curS; + + return (covered / L) * 100; +} + +/* ---------------------- Tooltip builder for highlights ---------------------- */ +function buildHighlightTooltip(doc, metricIds) { + const uniq = Array.from(new Set(metricIds || [])); + if (uniq.length === 0) return ""; + + const lines = []; + for (const id of uniq) { + const meta = METRIC_BY_ID[id]; + const label = meta?.title || id; + + const v = doc?.[id]?.metric; + const hasNum = v != null && !Number.isNaN(Number(v)); + + const cov = metricCoveragePercent(doc, id); + const covStr = `${cov.toFixed(1)}% of text`; + + if (hasNum) { + lines.push(`${label}: ${formatMetricValue(v, id)} (${covStr})`); + } else { + lines.push(`${label}: ${covStr}`); + } + } + return lines.join("\n"); +} + +/* ---------------------- Floating tooltip (custom, reliable) ---------------------- */ +function clamp(n, lo, hi) { + return Math.max(lo, Math.min(hi, n)); +} + +function FloatingTooltip({ tooltip }) { + if (!tooltip?.visible) return null; + + return ( +
+
+ {tooltip.content} +
+
+ ); +} + +function HighlightedEssay({ + doc, + activeMetricIds, + containerRef, + onShowTooltip, + onMoveTooltip, + onHideTooltip, +}) { + const { text, spans } = useMemo(() => buildSpansFromDoc(doc, activeMetricIds), [doc, activeMetricIds]); + const segments = useMemo(() => segmentTextBySpans(text, spans), [text, spans]); + + if (!text.trim()) { + return ( +
+ (No text returned for this document.) +
+ ); + } + + return ( +
+ {segments.map((seg, idx) => { + if (!seg.active.length) return {seg.text}; + + const top = seg.active[0]; + const cls = highlightClassForMetric(top); + const tooltipText = buildHighlightTooltip(doc, seg.active); + + return ( + onShowTooltip(tooltipText, e)} + onMouseMove={(e) => onMoveTooltip(e)} + onMouseLeave={() => onHideTooltip()} + onPointerEnter={(e) => onShowTooltip(tooltipText, e)} + onPointerMove={(e) => onMoveTooltip(e)} + onPointerLeave={() => onHideTooltip()} + > + {seg.text} + + ); + })} +
+ ); +} + +/* ---------------------- URL param reader (client-safe) ---------------------- */ +function readCompareParamsFromLocation() { + if (typeof window === "undefined") { + return { urlReady: false, studentID: "", docIds: [] }; + } + + const sp = new URLSearchParams(window.location.search); + const studentID = (sp.get("student_id") || "").trim(); + const idsRaw = (sp.get("ids") || "").trim(); + + const parts = idsRaw + .split(",") + .map((s) => s.trim()) + .filter(Boolean); + + const seen = new Set(); + const docIds = []; + for (const p of parts) { + if (!seen.has(p)) { + seen.add(p); + docIds.push(p); + } + if (docIds.length === 2) break; + } + + return { urlReady: true, studentID, docIds }; +} + +function buildEssayFromDoc({ docId, text, side, title }) { + const content = (text || "").trim(); + const words = content ? content.split(/\s+/).filter(Boolean).length : 0; + + return { + id: docId || `${side}-unknown`, + title: title || (docId ? `Document: ${docId}` : `Document (${side})`), + date: "", + minutes: Math.max(10, Math.round(words / 30)), + words, + grade: "—", + tags: [], + content: content || "(No text returned for this document.)", + }; +} + +/* ---------------------- Metrics comparison UI helpers ---------------------- */ +function formatPct(n) { + const x = Number.isFinite(Number(n)) ? Number(n) : 0; + return `${x.toFixed(1)}%`; +} +function formatDelta(n) { + const x = Number.isFinite(Number(n)) ? Number(n) : 0; + const sign = x > 0 ? "+" : x < 0 ? "−" : "±"; + const abs = Math.abs(x).toFixed(1); + return `${sign}${abs}%`; +} + +/* ---------------------- Evidence extraction (short excerpts) ---------------------- */ +function extractMetricExamples(doc, metricId, maxExamples = 2) { + const text = (doc?.text || "").toString(); + if (!text.trim()) return []; + + const offsets = doc?.[metricId]?.offsets; + if (!Array.isArray(offsets) || offsets.length === 0) return []; + + const L = text.length; + const spans = []; + for (const pair of offsets) { + if (!Array.isArray(pair) || pair.length < 2) continue; + const start = Number(pair[0]); + const len = Number(pair[1]); + if (!Number.isFinite(start) || !Number.isFinite(len) || len <= 0) continue; + const s = Math.max(0, Math.min(L, start)); + const e = Math.max(0, Math.min(L, start + len)); + if (e > s) spans.push([s, e]); + } + if (!spans.length) return []; + + spans.sort((a, b) => a[0] - b[0] || a[1] - b[1]); + + const seen = new Set(); + const out = []; + for (const [s, e] of spans) { + if (out.length >= maxExamples) break; + + const pad = 70; + const a = Math.max(0, s - pad); + const b = Math.min(L, e + pad); + + let snippet = text.slice(a, b).replace(/\s+/g, " ").trim(); + + if (a > 0) snippet = `…${snippet}`; + if (b < L) snippet = `${snippet}…`; + + const key = snippet.toLowerCase(); + if (seen.has(key)) continue; + seen.add(key); + + out.push(snippet); + } + return out; +} + +function MetricDeltaIcon({ delta }) { + const d = Number(delta) || 0; + if (d > 0.0001) return ; + if (d < -0.0001) return ; + return ; +} + +function MetricDeltaPill({ delta }) { + const d = Number(delta) || 0; + const cls = + d > 0.0001 + ? "bg-emerald-50 text-emerald-700 ring-1 ring-emerald-200" + : d < -0.0001 + ? "bg-rose-50 text-rose-700 ring-1 ring-rose-200" + : "bg-gray-100 text-gray-700"; + return ( + + Δ {formatDelta(d)} + + ); +} + +function StoryCard({ label, metricTitle, category, left, right, delta, tone, isDisabled }) { + const toneCls = + tone === "up" + ? "border-emerald-200 bg-emerald-50/40" + : tone === "down" + ? "border-rose-200 bg-rose-50/40" + : "border-gray-200 bg-gray-50"; + + return ( +
+
{label}
+
+
+
+ {isDisabled ? "—" : metricTitle || "—"} +
+
{isDisabled ? "" : category || ""}
+
+ +
+ +
+ {formatPct(left)} + → + {formatPct(right)} +
+
+ ); +} + +function MetricRow({ row, isFocused, onFocusToggle, onShow }) { + const { def, left, right, delta } = row; + return ( +
+
+ +
+
+
{def.title}
+ · {def.category} +
+
{def.desc}
+
+ +
+
+ {formatPct(left)} + → + {formatPct(right)} +
+ +
+ + +
+ + + + +
+
+
+ ); +} + +export default function EssayComparison() { + const initial = useMemo(() => readCompareParamsFromLocation(), []); + const [urlReady, setUrlReady] = useState(initial.urlReady); + const [studentID, setStudentID] = useState(initial.studentID); + const [docIds, setDocIds] = useState(initial.docIds); + const { courseId } = useCourseIdContext(); + + useEffect(() => { + const next = readCompareParamsFromLocation(); + if (!next.urlReady) return; + + const sameStudent = next.studentID === studentID; + const sameDocs = + next.docIds.length === docIds.length && + next.docIds[0] === docIds[0] && + next.docIds[1] === docIds[1]; + + if (!sameStudent) setStudentID(next.studentID); + if (!sameDocs) setDocIds(next.docIds); + if (!urlReady) setUrlReady(true); + // eslint-disable-next-line react-hooks/exhaustive-deps + }, []); + + const leftDocId = docIds[0] || ""; + const rightDocId = docIds[1] || ""; + + const enabled = urlReady && !!studentID && docIds.length === 2; + const missingParams = urlReady && (!studentID || docIds.length !== 2); + + const [selectedMetrics, setSelectedMetrics] = useState([ + "academic_language", + "informal_language", + "latinate_words", + "transition_words", + "citations", + "sentences", + "paragraphs", + ]); + + /* ---------------------- comparison data fetch ---------------------- */ + const origin = + process.env.NEXT_PUBLIC_LO_WS_ORIGIN?.replace(/\/+$/, "") || + getWsOriginFromWindow() || + "ws://localhost:8888"; + + const dataScope = useMemo(() => { + if (!urlReady || !studentID) { + return { + wo: { + execution_dag: "writing_observer", + target_exports: [], + kwargs: {}, + }, + }; + } + + const target_exports = ["student_with_docs", "single_student_profile"]; + + // Only add NLP annotation export when we have 2 docs selected + if (docIds.length === 2 && docIds[0] && docIds[1]) { + target_exports.push("single_student_docs_with_nlp_annotations"); + } + + return { + wo: { + execution_dag: "writing_observer", + target_exports, + kwargs: { + course_id: courseId, + student_id: studentID, + ...(docIds.length === 2 && docIds[0] && docIds[1] + ? { + document: docIds, + nlp_options: selectedMetrics, + } + : {}), + }, + }, + }; + }, [urlReady, studentID, courseId, docIds, selectedMetrics]); + + const { data: loData, errors: loErrors, connection: loConnection } = useLOConnectionDataManager({ + url: `${origin}/wsapi/communication_protocol`, + dataScope, + }); + + /* ---------------------- Available docs list (for replacement selection) ---------------------- */ + const availableDocIds = useMemo(() => { + const docsObj = loData?.students?.[studentID]?.documents || {}; + const ids = Object.keys(docsObj || {}); + ids.sort(); + return ids; + }, [loData, studentID]); + + useEffect(() => { + if (loConnection && loConnection.sendMessage && dataScope?.wo?.target_exports?.length > 0) { + try { + loConnection.sendMessage(JSON.stringify(dataScope)); + } catch (e) { + console.warn("Failed to resend dataScope:", e); + } + } + }, [dataScope, loConnection]); + + const docTitle = useCallback( + (docId) => { + if (!docId) return "—"; + const doc = loData?.students?.[studentID]?.documents?.[docId]; + return doc?.title || docId; + }, + [loData, studentID] + ); + + const studentProfile = loData?.students?.[studentID]; + const studentDisplayName = studentProfile?.profile?.name?.full_name || studentID || "—"; + const docsObj = loData?.students?.[studentID]?.documents || {}; + const leftDoc = leftDocId ? docsObj?.[leftDocId] : null; + const rightDoc = rightDocId ? docsObj?.[rightDocId] : null; + + // ----------------- LOADING GATE (non-empty text) ----------------- + const leftHasTextField = !!(leftDoc && Object.prototype.hasOwnProperty.call(leftDoc, "text")); + const rightHasTextField = !!(rightDoc && Object.prototype.hasOwnProperty.call(rightDoc, "text")); + + const leftTextNonEmpty = leftHasTextField && typeof leftDoc.text === "string" && leftDoc.text.trim().length > 0; + const rightTextNonEmpty = rightHasTextField && typeof rightDoc.text === "string" && rightDoc.text.trim().length > 0; + + const docsReady = enabled && leftTextNonEmpty && rightTextNonEmpty; + const isDocsLoading = enabled && !docsReady; + // ------------------------------------------------------------------- + + const leftText = leftHasTextField ? leftDoc?.text || "" : ""; + const rightText = rightHasTextField ? rightDoc?.text || "" : ""; + + const showInlineWarning = enabled && isDocsLoading && !!loErrors; + + const [leftEssay, setLeftEssay] = useState(() => buildEssayFromDoc({ docId: leftDocId, text: "", side: "left" })); + const [rightEssay, setRightEssay] = useState(() => buildEssayFromDoc({ docId: rightDocId, text: "", side: "right" })); + + useEffect(() => { + setLeftEssay(buildEssayFromDoc({ docId: leftDocId, text: "", side: "left", title: docTitle(leftDocId) })); + setRightEssay(buildEssayFromDoc({ docId: rightDocId, text: "", side: "right", title: docTitle(rightDocId) })); + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [leftDocId, rightDocId, docTitle]); + + useEffect(() => { + if (!enabled) return; + if (leftHasTextField) setLeftEssay(buildEssayFromDoc({ docId: leftDocId, text: leftText, side: "left", title: docTitle(leftDocId) })); + if (rightHasTextField) setRightEssay(buildEssayFromDoc({ docId: rightDocId, text: rightText, side: "right", title: docTitle(rightDocId) })); + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [enabled, leftHasTextField, rightHasTextField, leftDocId, rightDocId, leftText, rightText, docTitle]); + + /* ---------------------- CUSTOM TOOLTIP STATE ---------------------- */ + const [tooltip, setTooltip] = useState({ visible: false, x: 0, y: 0, content: "" }); + + const positionFromMouse = useCallback((e) => { + const pad = 12; + const vw = typeof window !== "undefined" ? window.innerWidth : 1200; + const vh = typeof window !== "undefined" ? window.innerHeight : 800; + + const maxW = 420; + const maxH = 220; + + const x = clamp(e.clientX + pad, 8, vw - maxW); + const y = clamp(e.clientY + pad, 8, vh - maxH); + return { x, y }; + }, []); + + const onShowTooltip = useCallback( + (content, e) => { + if (!content) return; + const { x, y } = positionFromMouse(e); + setTooltip({ visible: true, x, y, content: content || "" }); + }, + [positionFromMouse] + ); + + const onMoveTooltip = useCallback( + (e) => { + setTooltip((t) => { + if (!t.visible) return t; + const { x, y } = positionFromMouse(e); + return { ...t, x, y }; + }); + }, + [positionFromMouse] + ); + + const onHideTooltip = useCallback(() => { + setTooltip((t) => ({ ...t, visible: false })); + }, []); + + /* ---------------------- URL update (no navigation, no page shift) ---------------------- */ + const updateUrlIds = useCallback( + (nextDocIds) => { + if (typeof window === "undefined") return; + const sp = new URLSearchParams(window.location.search); + sp.set("student_id", studentID || ""); + sp.set("ids", nextDocIds.join(",")); + const next = `${window.location.pathname}?${sp.toString()}`; + window.history.replaceState({}, "", next); + }, + [studentID] + ); + + const setDocIdForSide = useCallback( + (side, newId) => { + const id = (newId || "").trim(); + if (!id) return; + + setDocIds((prev) => { + const next = [...prev]; + const L = next[0] || ""; + const R = next[1] || ""; + + // Prevent selecting the same doc for both sides; if chosen, swap. + if (side === "left") { + if (id === R) { + next[0] = R; + next[1] = L; + } else { + next[0] = id; + next[1] = R; + } + } else { + if (id === L) { + next[0] = R; + next[1] = L; + } else { + next[0] = L; + next[1] = id; + } + } + + // Ensure length 2 + if (!next[0]) next[0] = L; + if (!next[1]) next[1] = R; + + updateUrlIds(next); + return next; + }); + }, + [updateUrlIds] + ); + + /* ---------------------- Replace Modal (no shifting, full doc list) ---------------------- */ + const [replaceModal, setReplaceModal] = useState({ open: false, side: "left" }); + const [replaceQuery, setReplaceQuery] = useState(""); + const [replaceActiveIdx, setReplaceActiveIdx] = useState(0); + const [metricsModalOpen, setMetricsModalOpen] = useState(false); + + const openReplace = (side) => { + setReplaceQuery(""); + setReplaceActiveIdx(0); + setReplaceModal({ open: true, side }); + }; + const closeReplace = () => { + setReplaceModal({ open: false, side: "left" }); + setReplaceQuery(""); + setReplaceActiveIdx(0); + }; + + const openMetricsModal = () => setMetricsModalOpen(true); + const closeMetricsModal = () => setMetricsModalOpen(false); + + useEffect(() => { + if (typeof document === "undefined") return; + document.body.style.overflow = replaceModal.open || metricsModalOpen ? "hidden" : ""; + + return () => { + document.body.style.overflow = ""; + }; + }, [replaceModal.open, metricsModalOpen]); + + const currentIdForSide = replaceModal.side === "left" ? leftDocId : rightDocId; + const otherIdForSide = replaceModal.side === "left" ? rightDocId : leftDocId; + + const replaceMatches = useMemo(() => { + const q = replaceQuery.trim().toLowerCase(); + const pool = availableDocIds || []; + if (!q) return pool; + return pool.filter((id) => { + const title = docTitle(id).toLowerCase(); + return title.includes(q) || id.toLowerCase().includes(q); + }); + }, [replaceQuery, availableDocIds, docTitle]); + + const replacePick = (id) => { + setDocIdForSide(replaceModal.side, id); + closeReplace(); + }; + + const onReplaceKeyDown = (e) => { + if (!replaceModal.open) return; + + if (e.key === "Escape") { + e.preventDefault(); + closeReplace(); + return; + } + if (e.key === "ArrowDown") { + e.preventDefault(); + setReplaceActiveIdx((i) => Math.min(replaceMatches.length - 1, i + 1)); + return; + } + if (e.key === "ArrowUp") { + e.preventDefault(); + setReplaceActiveIdx((i) => Math.max(0, i - 1)); + return; + } + if (e.key === "Enter") { + e.preventDefault(); + const id = replaceMatches[replaceActiveIdx]; + if (id) replacePick(id); + return; + } + }; + + // Keep active index in bounds as filter changes + useEffect(() => { + if (!replaceModal.open) return; + setReplaceActiveIdx(0); + }, [replaceModal.open, replaceQuery]); + + /* ============================================================= + METRICS COMPARISON (Coverage-based) + ============================================================= */ + + const [focusedMetricId, setFocusedMetricId] = useState(null); + const [showAllMetrics, setShowAllMetrics] = useState(false); + + // If focused metric is removed from selection, clear focus + useEffect(() => { + if (focusedMetricId && !selectedMetrics.includes(focusedMetricId)) { + setFocusedMetricId(null); + } + }, [focusedMetricId, selectedMetrics]); + + const activeMetricIds = focusedMetricId ? [focusedMetricId] : selectedMetrics; + + const coverageRows = useMemo(() => { + if (!selectedMetrics.length) return []; + const defs = selectedMetrics.map((id) => METRIC_BY_ID[id]).filter(Boolean); + + const rows = defs.map((def) => { + const a = metricCoveragePercent(leftDoc, def.id); + const b = metricCoveragePercent(rightDoc, def.id); + const delta = (Number(b) || 0) - (Number(a) || 0); + const absDelta = Math.abs(delta); + + return { def, left: Number(a) || 0, right: Number(b) || 0, delta, absDelta }; + }); + + rows.sort((x, y) => y.absDelta - x.absDelta || String(x.def.title).localeCompare(String(y.def.title))); + return rows; + }, [selectedMetrics, leftDoc, rightDoc]); + + const metricsSummary = useMemo(() => { + if (!coverageRows.length) { + return { mostIncreased: null, mostDecreased: null, mostStable: null }; + } + + const byDeltaDesc = [...coverageRows].sort((a, b) => b.delta - a.delta); + const mostIncreased = byDeltaDesc[0] || null; + + const byStable = [...coverageRows].sort((a, b) => a.absDelta - b.absDelta); + const mostStable = byStable[0] || null; + + const negatives = coverageRows.filter((r) => r.delta < -0.0001); + let mostDecreased = null; + if (negatives.length) { + negatives.sort((a, b) => a.delta - b.delta); + mostDecreased = negatives[0]; + } + + return { mostIncreased, mostDecreased, mostStable }; + }, [coverageRows]); + + const topChanges = useMemo(() => coverageRows.slice(0, 8), [coverageRows]); + const allRemaining = useMemo(() => (coverageRows.length > 8 ? coverageRows.slice(8) : []), [coverageRows]); + + const leftEssayRef = useRef(null); + const rightEssayRef = useRef(null); + + const scrollToFirstHighlight = useCallback((metricId) => { + if (!metricId) return; + + const sel = `mark[data-metrics*="${metricId}"], mark[data-primary-metric="${metricId}"]`; + + const leftEl = leftEssayRef.current ? leftEssayRef.current.querySelector(sel) : null; + const rightEl = rightEssayRef.current ? rightEssayRef.current.querySelector(sel) : null; + + const target = leftEl || rightEl; + if (target && typeof target.scrollIntoView === "function") { + target.scrollIntoView({ behavior: "smooth", block: "center", inline: "nearest" }); + } + }, []); + + const focusMetric = useCallback( + (metricId, shouldScroll = false) => { + if (!metricId) return; + + setFocusedMetricId((cur) => (cur === metricId ? null : metricId)); + + if (shouldScroll) setTimeout(() => scrollToFirstHighlight(metricId), 30); + }, + [scrollToFirstHighlight] + ); + + const focusedMeta = focusedMetricId ? METRIC_BY_ID[focusedMetricId] : null; + + const focusedExamples = useMemo(() => { + if (!focusedMetricId) return { left: [], right: [] }; + return { + left: extractMetricExamples(leftDoc, focusedMetricId, 2), + right: extractMetricExamples(rightDoc, focusedMetricId, 2), + }; + }, [focusedMetricId, leftDoc, rightDoc]); + + return ( +
+ + + {/* Metrics Modal (small screens) */} + {metricsModalOpen && ( +
+
+
+
+
+
+
Metrics & Presets
+
Choose metrics and manage presets for this comparison.
+
+ +
+ +
+ +
+
+
+
+ )} + + {/* Replace Modal */} + {replaceModal.open && ( +
+
+
+
+
+
+
+ Replace {replaceModal.side === "left" ? "Left" : "Right"} document +
+
+ Student: {studentDisplayName} + {" • "} + Docs: {availableDocIds.length} + {" • "} + Current: {docTitle(currentIdForSide)} +
+
+ +
+ +
+
+ + setReplaceQuery(e.target.value)} + autoFocus + placeholder="Search by document…" + className="w-full pl-9 pr-3 py-2.5 text-sm border border-gray-200 rounded-xl focus:outline-none focus:ring-2 focus:ring-emerald-500" + /> +
+ +
Tip: Use ↑ / ↓ then Enter to select.
+
+ +
+ {replaceMatches.length === 0 ? ( +
No matches.
+ ) : ( + replaceMatches.map((id, idx) => { + const isActive = idx === replaceActiveIdx; + const isCurrent = id === currentIdForSide; + const isOther = id === otherIdForSide; + + return ( + + ); + }) + )} +
+ +
+ + +
+
+
+
+ )} + +
+ + + {missingParams ? ( +
+ Missing URL params. Expected: ?student_id=...&ids=docA,docB +
+ ) : null} + {urlReady ? ( +
+ +
+ ) : null} +
+ +
+ {isDocsLoading ? ( +
+
+
+
Loading documents…
+
+
+ Waiting until both documents return non-empty text. +
+
+ ) : ( +
+ {/* ✅ Sidebar replaced with MetricsPanel */} +
+ +
+ +
+
+ +
+ + {showInlineWarning ? ( +
+ Some data errors were reported while loading documents. +
+ ) : null} + + {/* Essays */} +
+ {/* Left */} +
+
+
+

{leftEssay.title}

+ +
+ +
+ + {leftEssay.minutes} min + + + {leftEssay.words.toLocaleString()} words + +
+ + {focusedMetricId ? ( +
+ + + Focus: {focusedMeta?.title || focusedMetricId} + + +
+ ) : null} +
+ +
+
+ Hover highlights to see metric tooltip. + {focusedMetricId ? Showing only the focused metric highlights. : null} +
+ +
+
+ + {/* Right */} +
+
+
+

{rightEssay.title}

+ +
+ +
+ + {rightEssay.minutes} min + + + {rightEssay.words.toLocaleString()} words + +
+ + {focusedMetricId ? ( +
+ + + Focus: {focusedMeta?.title || focusedMetricId} + + +
+ ) : null} +
+ +
+
+ Hover highlights to see metric tooltip. + {focusedMetricId ? Showing only the focused metric highlights. : null} +
+ +
+
+
+ + {/* ========================= + What changed in the writing (Coverage) + ========================= */} + {selectedMetrics.length > 0 && ( +
+
+
+

What is different

+
+ Coverage = % of essay text highlighted for a signal. +
+
+ + {focusedMetricId ? ( + + ) : null} +
+ + {/* Story cards (Improved | Consistent | Dropped) */} +
+ + + + + +
+ +
+
+
+
Top changes
+
+ Click “Focus” to show only that metric’s highlights in both essays. +
+
+
+ Showing {Math.min(8, coverageRows.length)} of{" "} + {coverageRows.length} +
+
+ +
+ {topChanges.length === 0 ? ( +
No metrics selected.
+ ) : ( + topChanges.map((r) => ( + focusMetric(r.def.id, false)} + onShow={() => { + setFocusedMetricId(r.def.id); + setTimeout(() => scrollToFirstHighlight(r.def.id), 30); + }} + /> + )) + )} +
+ + {coverageRows.length > 8 ? ( +
+ + + {showAllMetrics ? ( +
+ {allRemaining.map((r) => ( + focusMetric(r.def.id, false)} + onShow={() => { + setFocusedMetricId(r.def.id); + setTimeout(() => scrollToFirstHighlight(r.def.id), 30); + }} + /> + ))} +
+ ) : null} +
+ ) : null} +
+
+ )} +
+
+ )} +
+
+ ); +} diff --git a/modules/portfolio_diff/src/app/students/components/StudentDetail/SingleEssayModel.js b/modules/portfolio_diff/src/app/students/components/StudentDetail/SingleEssayModel.js new file mode 100644 index 000000000..cc62510d3 --- /dev/null +++ b/modules/portfolio_diff/src/app/students/components/StudentDetail/SingleEssayModel.js @@ -0,0 +1,1076 @@ +"use client"; + +import React, { useEffect, useMemo, useRef, useState } from "react"; +import { + X, + History, + Sparkles, + Gauge, + Layers, + Activity, + Loader2, + AlertTriangle, + SlidersHorizontal, + ArrowUpDown, +} from "lucide-react"; + +import { MetricsPanel } from "@/app/components/MetricsPanel"; +import { useLOConnectionDataManager } from "lo_event/lo_event/lo_assess/components/components.jsx"; +import { useCourseIdContext } from "@/app/providers/CourseIdProvider"; +import { getWsOriginFromWindow } from "@/app/utils/ws"; + +/* ========================================================= + Helpers +========================================================= */ + +const DEBUG = true; + +function clamp(v, lo, hi) { + return Math.max(lo, Math.min(hi, v)); +} + +function mean(arr) { + if (!arr.length) return 0; + return arr.reduce((s, x) => s + x, 0) / arr.length; +} + +function stableStringify(obj) { + const seen = new WeakSet(); + const sortObj = (v) => { + if (v === null || typeof v !== "object") return v; + if (seen.has(v)) return "[Circular]"; + seen.add(v); + if (Array.isArray(v)) return v.map(sortObj); + const keys = Object.keys(v).sort(); + const out = {}; + for (const k of keys) out[k] = sortObj(v[k]); + return out; + }; + try { + return JSON.stringify(sortObj(obj)); + } catch { + return String(obj); + } +} + +/** + * Robust normalization to handle whatever MetricsPanel emits. + */ +function normalizeSelectedMetrics(input) { + if (!input) return []; + + const pickMetricId = (x) => { + if (!x) return null; + if (typeof x === "string") return x; + + if (x && typeof x === "object") { + return ( + x.metricKey || + x.metric_key || + x.metricId || + x.metric_id || + x.metric || + x.metric_name || + x.metricName || + x.id || + x.key || + x.name || + x.value || + x.label || + null + ); + } + return null; + }; + + if (Array.isArray(input)) { + return input + .map(pickMetricId) + .filter(Boolean) + .map((s) => String(s).trim()) + .filter(Boolean); + } + + if (typeof input === "object") { + return Object.entries(input) + .filter(([, v]) => !!v) + .map(([k]) => String(k).trim()) + .filter(Boolean); + } + + return []; +} + +function metricCoveragePercent(doc, metricId) { + const text = (doc?.text || "").toString(); + const L = text.length; + if (!L) return 0; + + const offsets = doc?.[metricId]?.offsets; + if (!Array.isArray(offsets) || offsets.length === 0) return 0; + + const ranges = []; + for (const pair of offsets) { + if (!Array.isArray(pair) || pair.length < 2) continue; + const start = Number(pair[0]); + const len = Number(pair[1]); + if (!Number.isFinite(start) || !Number.isFinite(len) || len <= 0) continue; + + const s = clamp(start, 0, L); + const e = clamp(start + len, 0, L); + if (e > s) ranges.push([s, e]); + } + if (!ranges.length) return 0; + + ranges.sort((a, b) => a[0] - b[0] || a[1] - b[1]); + + let covered = 0; + let [curS, curE] = ranges[0]; + for (let i = 1; i < ranges.length; i++) { + const [s, e] = ranges[i]; + if (s <= curE) curE = Math.max(curE, e); + else { + covered += curE - curS; + curS = s; + curE = e; + } + } + covered += curE - curS; + return (covered / L) * 100; +} + +function initialsFromStudentKey(studentKey) { + const s = String(studentKey || "").trim(); + if (!s) return "ST"; + const parts = s.split(/[^a-zA-Z0-9]+/).filter(Boolean); + const a = (parts[0]?.[0] || "S").toUpperCase(); + const b = (parts[1]?.[0] || "T").toUpperCase(); + return `${a}${b}`.slice(0, 2); +} + +/* ========================================================= + Charts (Auto-zoom for low ranges + delta annotation) +========================================================= */ + +function niceStep(range) { + if (range <= 0.5) return 0.1; + if (range <= 1) return 0.2; + if (range <= 2) return 0.5; + if (range <= 5) return 1; + if (range <= 10) return 2; + if (range <= 20) return 5; + if (range <= 40) return 10; + return 25; +} + +function buildTicks(yMin, yMax, maxTicks = 5) { + const span = Math.max(1e-6, yMax - yMin); + const step = niceStep(span); + const start = Math.floor(yMin / step) * step; + const end = Math.ceil(yMax / step) * step; + + const ticks = []; + for (let v = start; v <= end + 1e-9; v += step) { + if (v >= yMin - 1e-9 && v <= yMax + 1e-9) ticks.push(Number(v.toFixed(3))); + } + + if (ticks.length > maxTicks) { + const stride = Math.ceil(ticks.length / maxTicks); + return ticks.filter((_, i) => i % stride === 0); + } + + if (!ticks.length) return [yMin, yMax]; + if (ticks[0] !== yMin) ticks.unshift(yMin); + if (ticks[ticks.length - 1] !== yMax) ticks.push(yMax); + return ticks; +} + +function BaselineCurrentChart({ + baselinePct, + currentPct, + height = 120, + autoZoom = true, +}) { + const width = 520; + const padL = 42; + const padR = 10; + const padT = 10; + const padB = 28; + + const b = Number.isFinite(baselinePct) ? Number(baselinePct) : 0; + const c = Number.isFinite(currentPct) ? Number(currentPct) : 0; + + const deltaPP = c - b; + const relDelta = b !== 0 ? (deltaPP / b) * 100 : null; + + const minVal = Math.min(b, c); + const maxVal = Math.max(b, c); + const spread = maxVal - minVal; + + const shouldZoom = + autoZoom && (maxVal <= 15 || spread <= 3) && maxVal < 98; + + let yMin = 0; + let yMax = 100; + let zoomLabel = ""; + + if (shouldZoom) { + const pad = Math.max(0.6, spread * 0.6); + yMin = clamp(minVal - pad, 0, 100); + yMax = clamp(maxVal + pad, 0, 100); + + const minSpan = 4; + if (yMax - yMin < minSpan) { + const mid = (yMin + yMax) / 2; + yMin = clamp(mid - minSpan / 2, 0, 100); + yMax = clamp(mid + minSpan / 2, 0, 100); + } + + const span = yMax - yMin; + const step = niceStep(span); + yMin = clamp(Math.floor(yMin / step) * step, 0, 100); + yMax = clamp(Math.ceil(yMax / step) * step, 0, 100); + + if (yMax <= yMin) { + yMin = clamp(minVal - 2, 0, 100); + yMax = clamp(maxVal + 2, 0, 100); + } + + zoomLabel = `Zoomed: ${yMin.toFixed(1)}–${yMax.toFixed(1)}%`; + } + + const xBaseline = padL; + const xCurrent = width - padR; + + const Y = (v) => { + const t = (v - yMin) / Math.max(1e-6, yMax - yMin); + return padT + (1 - t) * (height - padT - padB); + }; + + const yBaseline = Y(b); + const yCurrent = Y(c); + + const ticks = shouldZoom ? buildTicks(yMin, yMax, 5) : [0, 25, 50, 75, 100]; + + const tickFmt = (v) => { + const span = yMax - yMin; + const needsDecimal = span <= 10 || shouldZoom; + return `${needsDecimal ? Number(v).toFixed(1) : Number(v).toFixed(0)}%`; + }; + + const deltaText = `${deltaPP >= 0 ? "+" : ""}${deltaPP.toFixed(1)} pp${ + relDelta === null ? "" : ` (${relDelta >= 0 ? "+" : ""}${relDelta.toFixed(0)}%)` + }`; + + return ( + + {ticks.map((t) => { + const y = Y(t); + return ( + + + + {tickFmt(t)} + + + ); + })} + + + + + + Baseline + + + Current + + + {shouldZoom ? ( + + + + {zoomLabel} + + + ) : null} + + + + + + + {b.toFixed(1)}% + + + {c.toFixed(1)}% + + + + + + {deltaText} + + + + ); +} + +function MetricTile({ metricKey, baseline, currentValue }) { + return ( +
+
+
{metricKey}
+
Baseline (prior essays only) → Current (this essay)
+
+
+ +
+
+ ); +} + +/* ========================================================= + Evidence blocks for Actionable Feedback +========================================================= */ + +function EvidenceProduct({ cues }) { + const list = Array.isArray(cues) ? cues : []; + if (!list.length) { + return ( +
+ No product evidence attached yet. +
+ ); + } + return ( +
+
+ Evidence cues (justification signals) +
+
+ {list.map((c, i) => ( +
+
{c.label}
+ {c.sub ?
{c.sub}
: null} +
+ ))} +
+
+ ); +} + +function EvidenceProcess({ features }) { + const list = Array.isArray(features) ? features : []; + if (!list.length) { + return ( +
+ No process evidence attached yet. +
+ ); + } + return ( +
+
+ Process signals (keystroke / behavior metrics) +
+
+ {list.map((f, i) => ( +
+
{f.name}
+
+ Baseline {Number(f.baseline).toFixed(1)} → Current {Number(f.current).toFixed(1)} (Score{" "} + {Number(f.score).toFixed(0)}/100) +
+
+ ))} +
+
+ ); +} + +/* ========================================================= + Feedback Controls (left column in feedback tab) +========================================================= */ + +function FeedbackControls({ + detailLevel, + setDetailLevel, + ordering, + setOrdering, + priority, + setPriority, + includeEvidence, + setIncludeEvidence, + includeProcessSignals, + setIncludeProcessSignals, +}) { + return ( +
+
+
+ + + +
+
Feedback Controls
+
+
+
Choose ordering and how many items to show.
+
+ +
+
+
Detail level
+
+ {["brief", "standard"].map((k) => ( + + ))} +
+
+ +
+
+
Sequence / ordering
+ + + Order + +
+
+ {[ + { key: "highest_impact", label: "Highest impact" }, + { key: "lowest_impact", label: "Lowest impact" }, + ].map((opt) => ( + + ))} +
+
+ +
+
Priority
+
+ {[ + { key: "top1", label: "Top 1" }, + { key: "top2", label: "Top 2" }, + { key: "all", label: "All" }, + ].map((opt) => ( + + ))} +
+
+ +
+
+ Include in feedback +
+
+ + + +
+
+ +
+ Tip: "Highest impact + Top 1 + Brief" works well for quick LMS comments. +
+
+
+ ); +} + +/* ========================================================= + Exported Modal +========================================================= */ + +export function SingleEssayModal({ + studentKey, + docId, + docIds, + docTitle, + docIndex, + initialWords, + subtitleDate, + onClose, +}) { + useEffect(() => { + const prev = document.body.style.overflow; + document.body.style.overflow = "hidden"; + return () => { + document.body.style.overflow = prev || ""; + }; + }, []); + + useEffect(() => { + const onKey = (e) => { + if (e.key === "Escape") onClose?.(); + }; + window.addEventListener("keydown", onKey); + return () => window.removeEventListener("keydown", onKey); + }, [onClose]); + + const title = docTitle || (docIndex ? `Document ${docIndex}` : "Document"); + const subtitle = subtitleDate ? `Document • ${subtitleDate}` : "Document"; + + return ( +
+
onClose?.()} /> + +
+
e.stopPropagation()} + > +
+
+
+
+
{title}
+
{subtitle}
+
+
+ +
+ +
+
+
+ +
+ +
+
+
+
+ ); +} + +/* ========================================================= + Inner modal +========================================================= */ + +function SingleEssayInnerModal({ studentKey, docId, docIds }) { + const [activeTab, setActiveTab] = useState("trajectory"); + const [feedbackMode, setFeedbackMode] = useState("product"); + const [selectedMetrics, setSelectedMetricsState] = useState(["academic_language"]); + + // feedback controls + const [detailLevel, setDetailLevel] = useState("standard"); + const [ordering, setOrdering] = useState("highest_impact"); + const [priority, setPriority] = useState("all"); + const [includeEvidence, setIncludeEvidence] = useState(true); + const [includeProcessSignals, setIncludeProcessSignals] = useState(true); + const { courseId } = useCourseIdContext(); + + const setSelectedMetrics = (next) => { + setSelectedMetricsState((prev) => { + const resolved = typeof next === "function" ? next(prev) : next; + const normalized = normalizeSelectedMetrics(resolved); + + if (DEBUG) { + console.groupCollapsed("[SingleEssayInnerModal] metrics-change"); + console.log("resolved from panel:", resolved); + console.log("normalized ids:", normalized); + console.groupEnd(); + } + + return normalized; + }); + }; + + const exportEnabled = + activeTab === "trajectory" && + !!studentKey && + !!docId && + Array.isArray(docIds) && + docIds.length > 0 && + selectedMetrics.length > 0; + + const dataScope = useMemo(() => { + if (!exportEnabled) return { wo: { execution_dag: "writing_observer", target_exports: [], kwargs: {} } }; + + return { + wo: { + execution_dag: "writing_observer", + target_exports: ["single_student_docs_with_nlp_annotations"], + kwargs: { + course_id: courseId, + student_id: studentKey, + document: docIds, + nlp_options: selectedMetrics, + }, + }, + }; + }, [exportEnabled, courseId, docIds, selectedMetrics, studentKey]); + + // Connect to LO websocket + const origin = + process.env.NEXT_PUBLIC_LO_WS_ORIGIN?.replace(/\/+$/, "") || + getWsOriginFromWindow() || + "ws://localhost:8888"; + + const url = `${origin}/wsapi/communication_protocol`; + const { connection, data: loData, errors: loErrors } = useLOConnectionDataManager({ url, dataScope }); + + // When dataScope changes, send the new scope over the existing connection + const prevScopeRef = useRef(null); + useEffect(() => { + if (!connection?.sendMessage || !exportEnabled) return; + + const scopeStr = stableStringify(dataScope); + if (scopeStr === prevScopeRef.current) return; + prevScopeRef.current = scopeStr; + + if (DEBUG) { + console.groupCollapsed("[SingleEssayInnerModal] sending updated dataScope"); + console.log("dataScope:", dataScope); + console.groupEnd(); + } + + try { + connection.sendMessage(JSON.stringify(dataScope)); + } catch (e) { + console.warn("[SingleEssayInnerModal] failed to send updated dataScope", e); + } + }, [connection, dataScope, exportEnabled]); + + const docsObj = useMemo(() => loData?.students?.[studentKey]?.documents || {}, [loData, studentKey]); + + const hasError = useMemo(() => { + if (!exportEnabled) return false; + if (!loErrors) return false; + if (Array.isArray(loErrors)) return loErrors.length > 0; + if (typeof loErrors === "object") return Object.keys(loErrors).length > 0; + return true; + }, [exportEnabled, loErrors]); + + const hasAllDocs = useMemo(() => { + if (!exportEnabled) return false; + return docIds.every((id) => { + const d = docsObj?.[id]; + return d && typeof d.text === "string" && d.text.length > 0; + }); + }, [exportEnabled, docIds, docsObj]); + + const isLOLoading = useMemo(() => exportEnabled && !hasError && !hasAllDocs, [exportEnabled, hasError, hasAllDocs]); + + const currentDocIndex = useMemo(() => { + const idx = docIds.findIndex((id) => String(id) === String(docId)); + return Math.max(0, idx); + }, [docIds, docId]); + + const hasPriorData = currentDocIndex > 0; + + const metricSummaries = useMemo(() => { + if (!exportEnabled || !hasAllDocs) return []; + return selectedMetrics.map((metricKey) => { + const series = docIds.map((id) => metricCoveragePercent(docsObj?.[id], metricKey)); + const current = Number(series[currentDocIndex] ?? 0); + const prior = series.slice(0, currentDocIndex).map((x) => Number(x) || 0); + const baseline = prior.length ? mean(prior) : 0; + return { key: metricKey, baseline, currentValue: current }; + }); + }, [exportEnabled, hasAllDocs, selectedMetrics, docIds, docsObj, currentDocIndex]); + + const currentText = useMemo(() => (docsObj?.[docId]?.text || "").toString(), [docsObj, docId]); + + const wordCount = useMemo(() => { + const t = (currentText || "").trim(); + if (!t) return 0; + return t.split(/\s+/).filter(Boolean).length; + }, [currentText]); + + /* -------------------------- + Actionable feedback content + -------------------------- */ + + const feedbackBlocks = useMemo(() => { + const product = [ + { + category: "clarity", + heading: "Clarify the claim early", + why: "Your central claim becomes clear only midway through the essay.", + suggestion: "Rewrite the opening as: claim → reason → preview of evidence (2–3 lines).", + evidence: { cues: [{ label: "Thesis appears late", sub: "Main stance introduced after several sentences." }] }, + impact: 0.9, + }, + { + category: "organization", + heading: "Use a stronger paragraph map", + why: "Paragraph purposes aren't clearly signposted.", + suggestion: "Add a 1-sentence topic line at the start of each paragraph to guide the reader.", + evidence: { cues: [{ label: "Weak topic sentences", sub: "Paragraph goals inferred rather than stated." }] }, + impact: 0.75, + }, + { + category: "evidence", + heading: "Connect evidence to the claim explicitly", + why: "Evidence is present, but the link back to the thesis is implicit.", + suggestion: 'After each quote/example, add one sentence: "This shows ___ because ___."', + evidence: { cues: [{ label: "Evidence-to-claim bridge", sub: "Explanation is shorter than evidence in places." }] }, + impact: 0.7, + }, + ]; + + const process = [ + { + category: "overall", + heading: "Revise globally before polishing", + why: "Edits appear late and are mostly sentence-level.", + suggestion: "Next time: draft quickly → structure pass → line edits.", + evidence: { features: [{ name: "Late revision burst", baseline: 42.1, current: 61.4, score: 68 }] }, + impact: 0.8, + }, + { + category: "organization", + heading: "Pause to outline before drafting", + why: "Drafting begins immediately without a planning phase.", + suggestion: "Spend 3–5 minutes outlining: claim → reasons → evidence before writing.", + evidence: { features: [{ name: "Planning time", baseline: 18.0, current: 6.5, score: 42 }] }, + impact: 0.7, + }, + { + category: "focus", + heading: "Avoid long uninterrupted drafting runs", + why: "Long runs often reduce clarity and increase later cleanup work.", + suggestion: 'Try a short checkpoint every 5–7 minutes: "Does this paragraph support my claim?"', + evidence: { features: [{ name: "Longest uninterrupted run (min)", baseline: 9.2, current: 14.8, score: 55 }] }, + impact: 0.6, + }, + ]; + + return { product, process }; + }, []); + + const applyDetailLevel = (b) => { + if (detailLevel === "brief") { + return { ...b, why: "" }; + } + return b; + }; + + const orderingLabel = useMemo(() => { + return ordering === "lowest_impact" ? "Lowest impact" : "Highest impact"; + }, [ordering]); + + const sortedAndFilteredFeedbackBlocks = useMemo(() => { + const base = feedbackMode === "product" ? feedbackBlocks.product : feedbackBlocks.process; + const blocks = [...base]; + + if (ordering === "highest_impact") { + blocks.sort((a, b) => (Number(b.impact) || 0) - (Number(a.impact) || 0)); + } else { + blocks.sort((a, b) => (Number(a.impact) || 0) - (Number(b.impact) || 0)); + } + + if (priority === "top1") return blocks.slice(0, 1); + if (priority === "top2") return blocks.slice(0, 2); + return blocks; + }, [feedbackBlocks, feedbackMode, ordering, priority]); + + return ( +
+ {/* Tab bar */} +
+
+ + + +
+
+ +
+
+ {/* Left column */} + + + {/* Middle column: essay text */} +
+
+
+
+ + {wordCount.toLocaleString()} words + +
+ +
+
+ {currentText ? ( +

{currentText}

+ ) : ( +

No text available yet.

+ )} +
+
+
+
+
+ + {/* Right column */} +
+ {activeTab === "trajectory" ? ( +
+
+
+
+
+ + + +

Writing Trajectory

+
+
+ Baseline = average of prior essays only. Current = this essay. +
+
+
+
+ +
+ {selectedMetrics.length === 0 ? ( +
+
+ Select metrics on the left to view trajectory +
+
This starts empty by design — pick signals first.
+
+ ) : isLOLoading ? ( +
+
+ + Computing trajectory… +
+
+ ) : hasError ? ( +
+
+ + Couldn't compute trajectory +
+ 
+                        {JSON.stringify(loErrors, null, 2)}
+
+
+ ) : !hasPriorData ? ( +
+
No prior data to compare with
+
+ This is the student's first essay in the trajectory sequence, so we can't compute a baseline yet. +
+
+ ) : ( +
+ {metricSummaries.map((m) => ( + + ))} +
+ )} +
+
+ ) : ( +
+
+
+
+
+ + + +

Actionable Feedback

+
+
+ {orderingLabel} • {priority === "top1" ? "Top 1" : priority === "top2" ? "Top 2" : "All"} •{" "} + {detailLevel === "brief" ? "Brief" : "Standard"} +
+
+ +
+ + +
+
+
+ +
+ {sortedAndFilteredFeedbackBlocks.length === 0 ? ( +
+
No feedback items available
+
+ Try switching Product/Process or set Priority to "All". +
+
+ ) : ( + sortedAndFilteredFeedbackBlocks.map((raw, i) => { + const b = applyDetailLevel(raw); + + return ( +
+
{b.heading}
+ + {b.why ?
{b.why}
: null} + +
+
Comment
+
{b.suggestion}
+
+ + {feedbackMode === "product" ? ( + includeEvidence ? ( +
+
Evidence (justification)
+ +
+ ) : null + ) : includeProcessSignals ? ( +
+
Evidence (process signals)
+ +
+ ) : null} +
+ ); + }) + )} +
+
+ )} +
+
+
+
+ ); +} diff --git a/modules/portfolio_diff/src/app/students/components/StudentDetail/StudentDetailCompare.js b/modules/portfolio_diff/src/app/students/components/StudentDetail/StudentDetailCompare.js new file mode 100644 index 000000000..77d90ea9e --- /dev/null +++ b/modules/portfolio_diff/src/app/students/components/StudentDetail/StudentDetailCompare.js @@ -0,0 +1,594 @@ +"use client"; + +import React, { useMemo, useState } from "react"; +import { + X, + Calendar, + Search, + ChevronDown, + Info, + Maximize2, + GitCompareArrows, +} from "lucide-react"; + +import { SingleEssayModal } from "./SingleEssayModel"; + +/* ========================================================= + Student Compare (Modal imported) +========================================================= */ + +export default function StudentDetailCompare({ + groupedEssays, + studentId, + + selectedEssays, + setSelectedEssays, + handleEssaySelect, + + cardsPerRow, + setCardsPerRow, + sortBy, + setSortBy, + search, + setSearch, + filterTags, + setFilterTags, + tagOpen, + setTagOpen, + tagQuery, + setTagQuery, + tagRef, + baseTags, + clearFilters, + isAnyFilter, + + getGridCols, + getGradeColor, + strengthAndFocusForEssay, + + loDocData, + loDocErrors, + loDocConnection, + documentIDS, +}) { + const safeGetGridCols = typeof getGridCols === "function" ? getGridCols : () => "grid-cols-3"; + const safeGetGradeColor = + typeof getGradeColor === "function" + ? getGradeColor + : () => "bg-gray-50 text-gray-700 ring-1 ring-gray-200"; + const safeStrengthAndFocus = + typeof strengthAndFocusForEssay === "function" + ? strengthAndFocusForEssay + : () => ({ strength: null, focus: null }); + const safeHandleEssaySelect = typeof handleEssaySelect === "function" ? handleEssaySelect : () => {}; + const safeSetSelectedEssays = typeof setSelectedEssays === "function" ? setSelectedEssays : () => {}; + + // ---- Modal state (inside compare) ---- + const [openEssay, setOpenEssay] = useState(null); + + // ---- LO docs for compare list ---- + const loStudentID = String(studentId); + const docsObj = loDocData?.students?.[loStudentID]?.documents || {}; + + const expectedDocIds = Array.isArray(documentIDS) ? documentIDS : []; + const receivedDocIds = Object.keys(docsObj || {}); + const hasAllExpectedDocs = + expectedDocIds.length === 0 || expectedDocIds.every((id) => receivedDocIds.includes(id)); + + const isDocsLoading = + !!(loDocConnection && + (loDocConnection.loading || loDocConnection.isLoading || loDocConnection.status === "loading")) || + (expectedDocIds.length > 0 && !hasAllExpectedDocs); + + const isDocsEmpty = !isDocsLoading && Object.keys(docsObj || {}).length === 0; + + // ---- Build doc list (used for modal props too) ---- + const docList = useMemo(() => { + return Object.entries(docsObj || {}).map(([docId, doc], index) => { + const text = typeof doc?.text === "string" ? doc.text : ""; + const words = text ? text.trim().split(/\s+/).filter(Boolean).length : 0; + + let dateISO = + doc?.dateISO || doc?.date_iso || doc?.date || doc?.submitted_at || doc?.created_at || ""; + + if (!dateISO && doc?.last_access != null) { + const la = Number(doc.last_access); + if (Number.isFinite(la) && la > 0) { + // Handle both seconds and milliseconds timestamps + const ms = la > 1e12 ? la : la * 1000; + dateISO = new Date(ms).toISOString(); + } + } + const grade = doc?.grade ?? doc?.score ?? ""; + const tagsFromDoc = Array.isArray(doc?.tags) + ? doc.tags + : Array.isArray(doc?.meta?.tags) + ? doc.meta.tags + : ["Document"]; + + return { + id: docId, + title: doc?.title || `Document ${index + 1}`, + date: dateISO + ? new Date(dateISO).toLocaleDateString("en-US", { month: "short", day: "numeric", year: "numeric" }) + : "", + dateISO: dateISO ? new Date(dateISO).toISOString() : "", + words, + grade: grade === null || grade === undefined ? "" : String(grade), + preview: text, + tags: tagsFromDoc.map(String), + _raw: doc, + _index: index + 1, + }; + }); + }, [docsObj]); + + const allDocIds = useMemo(() => docList.map((d) => d.id).filter(Boolean), [docList]); + + const docMetaById = useMemo(() => { + const m = new Map(); + for (const d of docList) m.set(String(d.id), d); + return m; + }, [docList]); + + // ---- tags base ---- + const safeBaseTags = useMemo(() => { + if (Array.isArray(baseTags) && baseTags.length) return baseTags; + const s = new Set(); + for (const d of docList) { + for (const t of (Array.isArray(d?.tags) ? d.tags : [])) s.add(String(t)); + } + return Array.from(s).sort((a, b) => a.localeCompare(b)); + }, [baseTags, docList]); + + // ---- filtering + sorting ---- + const filteredDocs = useMemo(() => { + const q = String(search || "").trim().toLowerCase(); + const activeTags = Array.isArray(filterTags) ? filterTags : []; + + return (docList || []) + .filter((d) => { + if (activeTags.length > 0) { + const dtags = Array.isArray(d?.tags) ? d.tags.map(String) : []; + if (!activeTags.every((t) => dtags.includes(t))) return false; + } + + if (q) { + const hay = [ + d?.title || "", + d?.preview || "", + Array.isArray(d?.tags) ? d.tags.join(" ") : "", + d?.grade || "", + d?.date || "", + ] + .join(" ") + .toLowerCase(); + if (!hay.includes(q)) return false; + } + return true; + }) + .sort((a, b) => { + const mode = String(sortBy || "date"); + if (mode === "words") return (Number(b.words) || 0) - (Number(a.words) || 0); + if (mode === "title") return String(a.title || "").localeCompare(String(b.title || "")); + if (mode === "grade") return (Number(b.grade) || 0) - (Number(a.grade) || 0); + + const ad = a?.dateISO ? new Date(a.dateISO).getTime() : 0; + const bd = b?.dateISO ? new Date(b.dateISO).getTime() : 0; + return bd - ad; + }); + }, [docList, search, filterTags, sortBy]); + + const groupedDocs = useMemo(() => { + return filteredDocs.reduce((acc, d) => { + const key = d.dateISO + ? new Date(d.dateISO).toLocaleString("en-US", { month: "long", year: "numeric" }) + : "Undated"; + (acc[key] ||= []).push(d); + return acc; + }, {}); + }, [filteredDocs]); + + const SkeletonCard = ({ i }) => ( +
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ ); + + return ( + <> + {isDocsLoading ? ( +
+
+ {Array.from({ length: 6 }).map((_, i) => ( + + ))} +
+
+ ) : isDocsEmpty ? ( +
+
No documents yet
+
We didn’t find any documents for this student.
+
+ ) : ( + <> + {Object.entries(groupedDocs).map(([category, list], index) => { + const wordsAvg = Math.round( + list.reduce((s, e) => s + (Number(e.words) || 0), 0) / Math.max(1, list.length) + ); + + return ( +
+ {index !== 0 &&
} + +
+
+

{category}

+
+ {list.length} essays • Avg {wordsAvg.toLocaleString()} words +
+
+ + {index === 0 && ( +
+
+
+ + + {tagOpen && ( +
+
+ + typeof setTagQuery === "function" && setTagQuery(e.target.value)} + className="w-full bg-transparent text-sm outline-none" + /> +
+
+ {safeBaseTags + .filter((t) => String(t).toLowerCase().includes(String(tagQuery || "").toLowerCase())) + .map((t) => ( + + ))} +
+
+ )} +
+ +
+ + typeof setSearch === "function" && setSearch(e.target.value)} + placeholder="Search title, tags, text…" + className="pl-8 pr-3 py-2 border border-gray-300 rounded-md text-sm bg-white w-64 focus:outline-none focus:ring-2 focus:ring-emerald-500" + /> +
+ +
+ +
+ Sort by: + +
+ +
+ Cards per row + +
+
+ + {isAnyFilter && ( +
+ {(Array.isArray(filterTags) ? filterTags : []).map((t) => ( + + Tag: {t} + + + ))} + + {String(search || "").trim().length > 0 && ( + + Search: “{search}” + + + )} + + +
+ )} +
+ )} +
+ +
+ {list.map((essay) => { + const essayTags = Array.isArray(essay?.tags) ? essay.tags : []; + const isSelected = Array.isArray(selectedEssays) ? selectedEssays.includes(essay.id) : false; + const { strength, focus } = safeStrengthAndFocus(essay); + + return ( +
safeHandleEssaySelect(essay.id)} + > +
+
+
+ safeHandleEssaySelect(essay.id)} + className="w-5 h-5 accent-emerald-600" + onClick={(e) => e.stopPropagation()} + aria-label={`Select ${essay.title}`} + /> +

{essay.title}

+
+ + +
+ +
+

+ + {essay.date || "Unknown date"} +

+
+ + {(Number(essay.words) || 0).toLocaleString()} words + +
+
+ +
+

{essay.preview || ""}

+
+ +
+ {strength && ( + + Strength: {String(strength.label || "").split("(")[0].trim()}{" "} + {Number(strength.delta) > 0 ? "▲" : ""} + + )} + {focus && ( + + Focus: {String(focus.label || "").split("(")[0].trim()}{" "} + {Number(focus.delta) < 0 ? "▼" : ""} + + )} +
+ +
+ {essayTags.map((tag, i) => ( + + {tag} + + ))} +
+
+
+ ); + })} +
+
+ ); + })} + + )} + + {Array.isArray(selectedEssays) && selectedEssays.length < 2 && ( +
+
+ +

Tip: click cards or use the checkboxes to add essays to the selection tray (max 2).

+
+
+ )} + +
+
+
+
+
+
+ + + Selected {Array.isArray(selectedEssays) ? selectedEssays.length : 0}/2 + + +
+ {[0, 1].map((i) => { + const id = Array.isArray(selectedEssays) ? selectedEssays[i] : undefined; + const meta = id ? docMetaById.get(String(id)) : null; + const displayName = meta?.title || (id ? `#${id}` : "—"); + return ( +
+ {displayName} + {id && ( + + )} +
+ ); + })} +
+ + +
+ + +
+
+ + {openEssay?.docId && ( + setOpenEssay(null)} + /> + )} + + ); +} diff --git a/modules/portfolio_diff/src/app/students/components/StudentDetail/StudentDetailGrowth.js b/modules/portfolio_diff/src/app/students/components/StudentDetail/StudentDetailGrowth.js new file mode 100644 index 000000000..eb0bf51e7 --- /dev/null +++ b/modules/portfolio_diff/src/app/students/components/StudentDetail/StudentDetailGrowth.js @@ -0,0 +1,556 @@ +"use client"; + +import { useMemo, useCallback, useState, useEffect, useRef } from "react"; +import dynamic from "next/dynamic"; +import { Loader2 } from "lucide-react"; + +import { useLOConnectionDataManager } from "lo_event/lo_event/lo_assess/components/components.jsx"; +import { MetricsPanel } from "@/app/components/MetricsPanel"; +import { useCourseIdContext } from "@/app/providers/CourseIdProvider"; +import { getWsOriginFromWindow } from "@/app/utils/ws"; + +const ReactECharts = dynamic(() => import("echarts-for-react"), { ssr: false }); + +const DEBUG = false; + +/* ---------------------- stable stringify ---------------------- */ +function stableStringify(obj) { + const seen = new WeakSet(); + const sortObj = (v) => { + if (v === null || typeof v !== "object") return v; + if (seen.has(v)) return "[Circular]"; + seen.add(v); + + if (Array.isArray(v)) return v.map(sortObj); + + const keys = Object.keys(v).sort(); + const out = {}; + for (const k of keys) out[k] = sortObj(v[k]); + return out; + }; + + try { + return JSON.stringify(sortObj(obj)); + } catch { + return String(obj); + } +} + +/* ---------------------- Metric normalization ---------------------- */ +function normalizeSelectedMetrics(input) { + if (!input) return []; + + const pickMetricId = (x) => { + if (!x) return null; + if (typeof x === "string") return x; + + if (x && typeof x === "object") { + return ( + x.metricKey || + x.metric_key || + x.metricId || + x.metric_id || + x.metric || + x.metric_name || + x.metricName || + x.id || + x.key || + x.name || + x.value || + x.label || + null + ); + } + return null; + }; + + if (Array.isArray(input)) { + return input + .map(pickMetricId) + .filter(Boolean) + .map((s) => String(s).trim()) + .filter(Boolean); + } + + if (typeof input === "object") { + return Object.entries(input) + .filter(([, v]) => !!v) + .map(([k]) => String(k).trim()) + .filter(Boolean); + } + + return []; +} + +/* ---------------------- Coverage helpers ---------------------- */ +function coveragePercentFromDoc(doc, metricId) { + const text = (doc?.text || "").toString(); + const L = text.length; + if (!L) return 0; + + const offsets = doc?.[metricId]?.offsets; + if (!Array.isArray(offsets) || offsets.length === 0) return 0; + + const ranges = []; + for (const pair of offsets) { + if (!Array.isArray(pair) || pair.length < 2) continue; + const start = Number(pair[0]); + const len = Number(pair[1]); + if (!Number.isFinite(start) || !Number.isFinite(len) || len <= 0) continue; + + const s = Math.max(0, Math.min(L, start)); + const e = Math.max(0, Math.min(L, start + len)); + if (e > s) ranges.push([s, e]); + } + if (!ranges.length) return 0; + + ranges.sort((a, b) => a[0] - b[0] || a[1] - b[1]); + + let covered = 0; + let [curS, curE] = ranges[0]; + for (let i = 1; i < ranges.length; i++) { + const [s, e] = ranges[i]; + if (s <= curE) curE = Math.max(curE, e); + else { + covered += curE - curS; + curS = s; + curE = e; + } + } + covered += curE - curS; + + return (covered / L) * 100; +} + +/* ---------------------- LO Runner ---------------------- */ +function LORunner({ wsUrl, dataScope, scopeKey, onData, onErrors }) { + const { data, errors } = useLOConnectionDataManager({ + url: wsUrl, + dataScope, + }); + + useEffect(() => onData?.(data), [data, onData]); + useEffect(() => onErrors?.(errors), [errors, onErrors]); + + useEffect(() => { + if (!DEBUG) return; + console.log("[LORunner] mounted scopeKey:", scopeKey); + return () => console.log("[LORunner] unmounted scopeKey:", scopeKey); + }, [scopeKey]); + + return null; +} + +/* ---------------------- ECharts option builder ---------------------- */ +function buildEChartOption({ metricId, points }) { + const labels = points.map((p) => p.label); + + const values = points.map((p) => p.raw).filter(Number.isFinite); + const dataMin = values.length ? Math.min(...values) : 0; + const dataMax = values.length ? Math.max(...values) : 100; + const range = dataMax - dataMin; + + // Add padding: 20% of range on each side, minimum ±5 percentage points + const padding = Math.max(range * 0.2, 5); + const yMin = Math.max(0, Math.floor((dataMin - padding) / 5) * 5); + const yMax = Math.min(100, Math.ceil((dataMax + padding) / 5) * 5); + + // If all values are identical or very close, center around that value + const finalMin = yMin === yMax ? Math.max(0, yMin - 10) : yMin; + const finalMax = yMin === yMax ? Math.min(100, yMax + 10) : yMax; + + const barData = points.map((p) => ({ + value: p.barValue, + docId: p.docId, + label: p.label, + title: p.title, + raw: p.raw, + })); + + const lineData = points.map((p) => ({ + value: p.value, + docId: p.docId, + label: p.label, + title: p.title, + raw: p.raw, + })); + + return { + animation: false, + grid: { top: 20, right: 20, bottom: 40, left: 60 }, + + tooltip: { + trigger: "axis", + confine: true, + axisPointer: { + type: "line", + shadowStyle: { opacity: 0 }, + lineStyle: { color: "rgba(107,114,128,0.55)", width: 1 }, + }, + formatter: (params) => { + const primary = Array.isArray(params) ? params[0] : params; + const d = primary?.data || {}; + const pct = Number.isFinite(Number(d.raw)) ? Number(d.raw).toFixed(1) : "0.0"; + const docId = d.docId || "—"; + const title = d.title || "Untitled"; + const date = d.label || primary?.axisValue || ""; + + return ` +
+
${metricId}
+
${title}
+
${date}
+
Coverage: ${pct}%
+
Document: ${docId}
+
+ `; + }, + }, + + xAxis: { + type: "category", + data: labels, + axisLabel: { fontSize: 11, interval: "auto" }, + axisPointer: { + show: true, + type: "line", + shadowStyle: { opacity: 0 }, + lineStyle: { color: "rgba(107,114,128,0.55)", width: 1 }, + }, + }, + + yAxis: { + type: "value", + min: finalMin, + max: finalMax, + axisLabel: { formatter: "{value}%" }, + }, + + series: [ + { + name: "Coverage (bar)", + type: "bar", + data: barData, + barMaxWidth: 28, + emphasis: { focus: "none" }, + select: { disabled: true }, + blur: { itemStyle: { opacity: 1 } }, + }, + { + name: "Coverage (line)", + type: "line", + data: lineData, + smooth: true, + symbol: "circle", + symbolSize: 8, + emphasis: { focus: "none" }, + select: { disabled: true }, + blur: { lineStyle: { opacity: 1 }, itemStyle: { opacity: 1 } }, + }, + ], + }; +} + +export default function StudentDetailGrowth({ + metrics, + setMetrics, + + studentID, + + essaysInRangeAsc = [], +}) { + const selectedMetrics = useMemo(() => normalizeSelectedMetrics(metrics), [metrics]); + const { courseId } = useCourseIdContext(); + const wsUrl = `${origin}/wsapi/communication_protocol`; + + const docIdsAsc = useMemo(() => { + return (Array.isArray(essaysInRangeAsc) ? essaysInRangeAsc : []) + .map((e) => (e?.id || "").toString().trim()) + .filter(Boolean); + }, [essaysInRangeAsc]); + + const enabled = !!studentID && docIdsAsc.length > 0 && selectedMetrics.length > 0; + + const origin = + process.env.NEXT_PUBLIC_LO_WS_ORIGIN?.replace(/\/+$/, "") || + getWsOriginFromWindow() || + "ws://localhost:8888"; + + const dataScope = useMemo(() => { + if (!enabled) { + return { wo: { execution_dag: "writing_observer", target_exports: [], kwargs: {} } }; + } + + return { + wo: { + execution_dag: "writing_observer", + target_exports: ["single_student_docs_with_nlp_annotations", 'student_with_docs'], + kwargs: { + course_id: courseId, + student_id: studentID, + document: docIdsAsc, + nlp_options: selectedMetrics, + }, + }, + }; + }, [enabled, courseId, studentID, docIdsAsc, selectedMetrics]); + + const scopeKey = useMemo(() => { + const signature = { enabled, studentID, courseId, docIdsAsc, selectedMetrics }; + return stableStringify(signature); + }, [enabled, studentID, courseId, docIdsAsc, selectedMetrics]); + + const [loData, setLoData] = useState(null); + const [loErrors, setLoErrors] = useState(null); + const [isFetching, setIsFetching] = useState(false); + const prevScopeKeyRef = useRef(scopeKey); + + useEffect(() => { + if (!enabled) { + setIsFetching(false); + return; + } + if (prevScopeKeyRef.current !== scopeKey) { + prevScopeKeyRef.current = scopeKey; + setIsFetching(true); + setLoErrors(null); + } + }, [enabled, scopeKey]); + + useEffect(() => { + if (!enabled) return; + + const hasErrors = + loErrors && + ((Array.isArray(loErrors) && loErrors.length > 0) || + (typeof loErrors === "object" && Object.keys(loErrors).length > 0)); + + if (hasErrors) { + setIsFetching(false); + return; + } + if (loData) setIsFetching(false); + }, [enabled, loData, loErrors]); + + const docsObj = loData?.students?.[studentID]?.documents || {}; + + const isMetricReady = useCallback( + (metricId) => { + if (!metricId) return false; + for (const d of docIdsAsc) { + const doc = docsObj?.[d]; + const offsets = doc?.[metricId]?.offsets; + if (Array.isArray(offsets) && offsets.length > 0) return true; + } + return false; + }, + [docsObj, docIdsAsc] + ); + + const seriesByMetric = useMemo(() => { + const out = {}; + if (!enabled || !loData) return out; + + for (const metricId of selectedMetrics) { + // keep per-metric loader behavior for newly added metrics + if (isFetching && !isMetricReady(metricId)) { + out[metricId] = null; + continue; + } + + const points = []; + for (let i = 0; i < docIdsAsc.length; i++) { + const docId = docIdsAsc[i]; + const doc = docsObj?.[docId]; + + const essay = essaysInRangeAsc[i] || {}; + const label = + (essay?.date && String(essay.date)) || + `Essay ${i + 1}`; + const title = + (essay?.title && String(essay.title)) || + `Document ${i + 1}`; + + const raw = coveragePercentFromDoc(doc, metricId); + + points.push({ + idx: i, + label, + title, + docId, + raw, + value: raw, + barValue: raw, + metricLabel: metricId, + }); + } + + out[metricId] = points; + } + + return out; + }, [enabled, loData, selectedMetrics, docIdsAsc, docsObj, essaysInRangeAsc, isFetching, isMetricReady]); + + // lock tooltip per metric + const [lockedIndexByMetric, setLockedIndexByMetric] = useState({}); + const chartRefs = useRef({}); + + const showEmpty = selectedMetrics.length === 0; + + return ( +
+ {enabled ? ( + setLoData(d)} + onErrors={(e) => setLoErrors(e)} + /> + ) : null} + + + +
+
+
+ Showing {docIdsAsc.length} docs +
+ + {enabled && isFetching ? ( +
+ + Updating… +
+ ) : null} +
+ + {showEmpty ? ( +
+ Select one or more metrics from the left to view trends over time. +
+ ) : !loData ? ( +
+ + Loading documents… +
+ ) : ( +
+ {selectedMetrics.map((metricId) => { + const points = seriesByMetric?.[metricId]; + + if (enabled && isFetching && points === null) { + return ( +
+
+

{metricId}

+
+ + Fetching… +
+
+ +
+
+ + Computing new metric… +
+
+
+ ); + } + + const data = Array.isArray(points) ? points : []; + const lockedIndex = lockedIndexByMetric?.[metricId]; + + const option = buildEChartOption({ metricId, points: data }); + + const onEvents = { + click: (params) => { + const idx = params?.dataIndex; + if (typeof idx !== "number") return; + + setLockedIndexByMetric((prev) => { + const cur = prev?.[metricId]; + if (typeof cur === "number" && cur === idx) { + const next = { ...prev }; + delete next[metricId]; + return next; + } + return { ...prev, [metricId]: idx }; + }); + + const inst = chartRefs.current?.[metricId]; + if (inst) { + // lock tooltip without any highlight/selection + inst.dispatchAction({ type: "showTip", seriesIndex: 0, dataIndex: idx }); + } + }, + }; + + return ( +
+
+

{metricId}

+ +
+ {data.length} points + + {typeof lockedIndex === "number" ? ( + + ) : null} +
+
+ +
+ { + const inst = ref?.getEchartsInstance?.(); + if (inst) chartRefs.current[metricId] = inst; + }} + /> + + {enabled && isFetching ? ( +
+
+ + Fetching updated metrics… +
+
+ ) : null} +
+ +

+ Hover to show more information. +

+
+ ); + })} +
+ )} +
+
+ ); +} diff --git a/modules/portfolio_diff/src/app/students/components/StudentDetail/index.js b/modules/portfolio_diff/src/app/students/components/StudentDetail/index.js new file mode 100644 index 000000000..183060368 --- /dev/null +++ b/modules/portfolio_diff/src/app/students/components/StudentDetail/index.js @@ -0,0 +1,915 @@ +"use client"; + +import { Calendar, FileText, GitCompareArrows, TrendingUp, Users } from "lucide-react"; +import { useRouter, useSearchParams } from "next/navigation"; +import { useCallback, useEffect, useMemo, useRef, useState } from "react"; + +import { useLOConnectionDataManager } from "lo_event/lo_event/lo_assess/components/components.jsx"; + +import StudentDetailCompare from "./StudentDetailCompare"; +import StudentDetailGrowth from "./StudentDetailGrowth"; +import { useCourseIdContext } from "@/app/providers/CourseIdProvider"; +import { getWsOriginFromWindow } from "@/app/utils/ws"; + +/* ============================================================= + CONSTANTS + ============================================================= */ + +const MODES = { COMPARE: "compare", GROWTH: "growth" }; + +const STUDENTS_BREADCRUMB_HREF = + "/wo_portfolio_diff/portfolio_diff/students"; + +const monthsShort = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]; +const monthsLong = [ + "January", + "February", + "March", + "April", + "May", + "June", + "July", + "August", + "September", + "October", + "November", + "December", +]; + +const CATEGORY_KEYS = { + language: "Language", + argumentation: "Argumentation", + statements: "Statements", + transitions: "Transition Words", + pos: "Parts of Speech", + sentence_type: "Sentence Types", + source_information: "Source Information", + dialogue: "Dialogue", + tone: "Tone", + details: "Details", + other: "Other", +}; + +const iconForCategoryKey = (catKey) => { + switch (catKey) { + case "tone": + return TrendingUp; + case "dialogue": + return Users; + case "details": + return FileText; + default: + return FileText; + } +}; + +const METRIC_DEFS_RAW = [ + // language + { id: "academic_language", title: "Academic Language", categoryKey: "language", function: "percent", desc: "Percent of tokens flagged academic" }, + { id: "informal_language", title: "Informal Language", categoryKey: "language", function: "percent", desc: "Percent of tokens flagged informal" }, + { id: "latinate_words", title: "Latinate Words", categoryKey: "language", function: "percent", desc: "Percent of tokens flagged latinate" }, + { id: "opinion_words", title: "Opinion Words", categoryKey: "language", function: "total", desc: "Total opinion-word signals" }, + { id: "emotion_words", title: "Emotion Words", categoryKey: "language", function: "percent", desc: "Percent emotion words" }, + + // argumentation + { id: "argument_words", title: "Argument Words", categoryKey: "argumentation", function: "percent", desc: "Percent argument words" }, + { id: "explicit_argument", title: "Explicit argument", categoryKey: "argumentation", function: "percent", desc: "Percent explicit argument markers" }, + + // statements + { id: "statements_of_opinion", title: "Statements of Opinion", categoryKey: "statements", function: "percent", desc: "Percent of sentences classified as opinion" }, + { id: "statements_of_fact", title: "Statements of Fact", categoryKey: "statements", function: "percent", desc: "Percent of sentences classified as fact" }, + + // transitions + { id: "transition_words", title: "Transition Words", categoryKey: "transitions", function: "counts", desc: "Transition counts (by type)" }, + { id: "positive_transition_words", title: "Positive Transition Words", categoryKey: "transitions", function: "total", desc: "Total positive transitions" }, + { id: "conditional_transition_words", title: "Conditional Transition Words", categoryKey: "transitions", function: "total", desc: "Total conditional transitions" }, + { id: "consequential_transition_words", title: "Consequential Transition Words", categoryKey: "transitions", function: "total", desc: "Total consequential transitions" }, + { id: "contrastive_transition_words", title: "Contrastive Transition Words", categoryKey: "transitions", function: "total", desc: "Total contrastive transitions" }, + { id: "counterpoint_transition_words", title: "Counterpoint Transition Words", categoryKey: "transitions", function: "total", desc: "Total counterpoint transitions" }, + { id: "comparative_transition_words", title: "Comparative Transition Words", categoryKey: "transitions", function: "total", desc: "Total comparative transitions" }, + { id: "cross_referential_transition_words", title: "Cross Referential Transition Words", categoryKey: "transitions", function: "total", desc: "Total cross-referential transitions" }, + { id: "illustrative_transition_words", title: "Illustrative Transition Words", categoryKey: "transitions", function: "total", desc: "Total illustrative transitions" }, + { id: "negative_transition_words", title: "Negative Transition Words", categoryKey: "transitions", function: "total", desc: "Total negative transitions" }, + { id: "emphatic_transition_words", title: "Emphatic Transition Words", categoryKey: "transitions", function: "total", desc: "Total emphatic transitions" }, + { id: "evenidentiary_transition_words", title: "Evenidentiary Transition Words", categoryKey: "transitions", function: "total", desc: "Total evidentiary transitions" }, + { id: "general_transition_words", title: "General Transition Words", categoryKey: "transitions", function: "total", desc: "Total general transitions" }, + { id: "ordinal_transition_words", title: "Ordinal Transition Words", categoryKey: "transitions", function: "total", desc: "Total ordinal transitions" }, + { id: "purposive_transition_words", title: "Purposive Transition Words", categoryKey: "transitions", function: "total", desc: "Total purposive transitions" }, + { id: "periphrastic_transition_words", title: "Periphrastic Transition Words", categoryKey: "transitions", function: "total", desc: "Total periphrastic transitions" }, + { id: "hypothetical_transition_words", title: "Hypothetical Transition Words", categoryKey: "transitions", function: "total", desc: "Total hypothetical transitions" }, + { id: "summative_transition_words", title: "Summative Transition Words", categoryKey: "transitions", function: "total", desc: "Total summative transitions" }, + { id: "introductory_transition_words", title: "Introductory Transition Words", categoryKey: "transitions", function: "total", desc: "Total introductory transitions" }, + + // parts of speech + { id: "adjectives", title: "Adjectives", categoryKey: "pos", function: "total", desc: "Total adjectives" }, + { id: "adverbs", title: "Adverbs", categoryKey: "pos", function: "total", desc: "Total adverbs" }, + { id: "nouns", title: "Nouns", categoryKey: "pos", function: "total", desc: "Total nouns" }, + { id: "proper_nouns", title: "Proper Nouns", categoryKey: "pos", function: "total", desc: "Total proper nouns" }, + { id: "verbs", title: "Verbs", categoryKey: "pos", function: "total", desc: "Total verbs" }, + { id: "numbers", title: "Numbers", categoryKey: "pos", function: "total", desc: "Total numbers" }, + { id: "prepositions", title: "Prepositions", categoryKey: "pos", function: "total", desc: "Total prepositions" }, + { id: "coordinating_conjunction", title: "Coordinating Conjunction", categoryKey: "pos", function: "total", desc: "Total coordinating conjunctions" }, + { id: "subordinating_conjunction", title: "Subordinating Conjunction", categoryKey: "pos", function: "total", desc: "Total subordinating conjunctions" }, + { id: "auxiliary_verb", title: "Auxiliary Verb", categoryKey: "pos", function: "total", desc: "Total auxiliary verbs" }, + { id: "pronoun", title: "Pronoun", categoryKey: "pos", function: "total", desc: "Total pronouns" }, + + // sentence types + { id: "simple_sentences", title: "Simple Sentences", categoryKey: "sentence_type", function: "total", desc: "Total simple sentences" }, + { id: "simple_with_complex_predicates", title: "Simple with Complex Predicates", categoryKey: "sentence_type", function: "total", desc: "Total simple (complex predicates)" }, + { id: "simple_with_compound_predicates", title: "Simple with Compound Predicates", categoryKey: "sentence_type", function: "total", desc: "Total simple (compound predicates)" }, + { id: "simple_with_compound_complex_predicates", title: "Simple with Compound Complex Predicates", categoryKey: "sentence_type", function: "total", desc: "Total simple (compound complex predicates)" }, + { id: "compound_sentences", title: "Compound Sentences", categoryKey: "sentence_type", function: "total", desc: "Total compound sentences" }, + { id: "complex_sentences", title: "Complex Sentences", categoryKey: "sentence_type", function: "total", desc: "Total complex sentences" }, + { id: "compound_complex_sentences", title: "Compound Complex Sentences", categoryKey: "sentence_type", function: "total", desc: "Total compound-complex sentences" }, + + // source info + { id: "information_sources", title: "Information Sources", categoryKey: "source_information", function: "percent", desc: "Percent source references" }, + { id: "attributions", title: "Attributions", categoryKey: "source_information", function: "percent", desc: "Percent attributions" }, + { id: "citations", title: "Citations", categoryKey: "source_information", function: "percent", desc: "Percent citations" }, + { id: "quoted_words", title: "Quoted Words", categoryKey: "source_information", function: "percent", desc: "Percent quoted words" }, + + // dialogue + { id: "direct_speech_verbs", title: "Direct Speech Verbs", categoryKey: "dialogue", function: "percent", desc: "Percent direct speech verbs" }, + { id: "indirect_speech", title: "Indirect Speech", categoryKey: "dialogue", function: "percent", desc: "Percent indirect speech" }, + + // tone + { id: "positive_tone", title: "Positive Tone", categoryKey: "tone", function: "percent", desc: "Percent positive tone" }, + { id: "negative_tone", title: "Negative Tone", categoryKey: "tone", function: "percent", desc: "Percent negative tone" }, + + // details + { id: "concrete_details", title: "Concrete Details", categoryKey: "details", function: "percent", desc: "Percent concrete details" }, + { id: "main_idea_sentences", title: "Main Idea Sentences", categoryKey: "details", function: "total", desc: "Total main idea sentences" }, + { id: "supporting_idea_sentences", title: "Supporting Idea Sentences", categoryKey: "details", function: "total", desc: "Total supporting idea sentences" }, + { id: "supporting_detail_sentences", title: "Supporting Detail Sentences", categoryKey: "details", function: "total", desc: "Total supporting detail sentences" }, + + // other + { id: "polysyllabic_words", title: "Polysyllabic Words", categoryKey: "other", function: "percent", desc: "Percent polysyllabic tokens" }, + { id: "low_frequency_words", title: "Low Frequency Words", categoryKey: "other", function: "percent", desc: "Percent low-frequency tokens" }, + { id: "sentences", title: "Sentences", categoryKey: "other", function: "total", desc: "Total sentences" }, + { id: "paragraphs", title: "Paragraphs", categoryKey: "other", function: "total", desc: "Total paragraphs" }, + { id: "character_trait_words", title: "Character Trait Words", categoryKey: "other", function: "percent", desc: "Percent character trait tokens" }, + { id: "in_past_tense", title: "In Past Tense", categoryKey: "other", function: "percent", desc: "Percent past tense scope" }, + { id: "explicit_claims", title: "Explicit Claims", categoryKey: "other", function: "percent", desc: "Percent explicit claims" }, + { id: "social_awareness", title: "Social Awareness", categoryKey: "other", function: "percent", desc: "Percent social awareness" }, +]; + +const METRIC_BY_ID = Object.fromEntries(METRIC_DEFS_RAW.map((m) => [m.id, m])); + +const DEFAULT_METRICS = [ + "academic_language", + "informal_language", + "latinate_words", + "transition_words", + "citations", + "sentences", + "paragraphs", +]; + +const GENRE_COLORS = { Document: "hsl(160 70% 40%)" }; + +/* ============================================================= + HELPERS + ============================================================= */ + + + +const median = (arr) => { + if (!arr.length) return 0; + const a = [...arr].sort((x, y) => x - y); + const mid = Math.floor(a.length / 2); + return a.length % 2 ? a[mid] : (a[mid - 1] + a[mid]) / 2; +}; +const mean = (a) => a.reduce((s, x) => s + x, 0) / Math.max(1, a.length); +const std = (a) => { + if (a.length < 2) return 0; + const m = mean(a); + return Math.sqrt(mean(a.map((v) => (v - m) * (v - m)))); +}; +const slopePerIndex = (series) => { + if (series.length < 2) return 0; + const xs = series.map((p) => p.idx); + const ys = series.map((p) => p.value); + const xbar = mean(xs); + const ybar = mean(ys); + const num = xs.reduce((s, x, i) => s + (x - xbar) * (ys[i] - ybar), 0); + const den = xs.reduce((s, x) => s + (x - xbar) * (x - xbar), 0) || 1; + return num / den; +}; + +const safeNum = (v, fallback = 0) => { + const n = Number(v); + return Number.isFinite(n) ? n : fallback; +}; + +const sentenceSplit = (text) => { + const t = (text || "").trim(); + if (!t) return []; + return t.split(/(?<=[.!?])\s+/).filter(Boolean); +}; + +const wordSplit = (text) => { + const t = (text || "").trim(); + if (!t) return []; + return t + .split(/\s+/) + .map((w) => w.replace(/[^\p{L}\p{N}'-]+/gu, "").trim()) + .filter(Boolean); +}; + +const makePreviewFromText = (text, maxChars = 420) => { + const t = (text || "").replace(/\s+/g, " ").trim(); + if (!t) return ""; + return t.length > maxChars ? `${t.slice(0, maxChars)}…` : t; +}; + +const formatDocTitle = (docId, meta) => { + const fromMeta = + meta?.title || + meta?.name || + meta?.doc_title || + meta?.document_title || + meta?.filename || + meta?.file_name; + if (fromMeta && String(fromMeta).trim()) return String(fromMeta).trim(); + return docId ? String(docId).replace(/[-_]/g, " ") : "Document"; +}; + +const getDocObjFromLO = (data, studentID, docId) => { + const s = data?.students?.[studentID]; + const d1 = s?.documents?.[docId]; + if (d1 && typeof d1 === "object") return d1; + const d2 = s?.docs?.[docId]; + if (d2 && typeof d2 === "object") return d2; + const d3 = s?.doc_by_id?.[docId]; + if (d3 && typeof d3 === "object") return d3; + const d4 = s?.documents?.[docId]?.value; + if (d4 && typeof d4 === "object") return d4; + return null; +}; + +const getDocTextFromLO = (data, studentID, docId) => { + const doc = getDocObjFromLO(data, studentID, docId); + const t = doc?.text; + return typeof t === "string" ? t : ""; +}; + +function metricCoveragePercent(doc, metricId) { + const text = (doc?.text || "").toString(); + const L = text.length; + if (!L) return 0; + + const offsets = doc?.[metricId]?.offsets; + if (!Array.isArray(offsets) || offsets.length === 0) return 0; + + const ranges = []; + for (const pair of offsets) { + if (!Array.isArray(pair) || pair.length < 2) continue; + const start = Number(pair[0]); + const len = Number(pair[1]); + if (!Number.isFinite(start) || !Number.isFinite(len) || len <= 0) continue; + + let s = Math.max(0, Math.min(L, start)); + let e = Math.max(0, Math.min(L, start + len)); + if (e > s) ranges.push([s, e]); + } + if (!ranges.length) return 0; + + ranges.sort((a, b) => a[0] - b[0] || a[1] - b[1]); + + let covered = 0; + let [curS, curE] = ranges[0]; + + for (let i = 1; i < ranges.length; i++) { + const [s, e] = ranges[i]; + if (s <= curE) curE = Math.max(curE, e); + else { + covered += curE - curS; + curS = s; + curE = e; + } + } + covered += curE - curS; + + return (covered / L) * 100; +} + +const buildEssaysFromDocs = ({ studentID, documentIDS, docsObj, data }) => { + const out = (documentIDS || []).map((docId) => { + const meta = docsObj?.[docId] || {}; + const lastAccess = meta?.last_access; + const lastAccessMs = + typeof lastAccess === "number" + ? (lastAccess > 1e12 ? lastAccess : lastAccess * 1000) + : null; + + const dateISO = lastAccessMs ? new Date(lastAccessMs).toISOString() : ""; + const dateObj = lastAccessMs ? new Date(lastAccessMs) : null; + + const dateStr = dateObj + ? `${monthsShort[dateObj.getMonth()]} ${dateObj.getDate()}, ${dateObj.getFullYear()}` + : "—"; + + const category = dateObj ? `${monthsLong[dateObj.getMonth()]} ${dateObj.getFullYear()}` : "Unknown date"; + + const doc = getDocObjFromLO(data, studentID, docId); + const text = + doc?.text && typeof doc.text === "string" ? doc.text : getDocTextFromLO(data, studentID, docId); + + const wordsArr = wordSplit(text); + const words = wordsArr.length; + + const lowerWords = wordsArr.map((w) => w.toLowerCase()); + const uniqueWords = new Set(lowerWords).size; + const lexicalDiversity = words ? Number(((uniqueWords / words) * 100).toFixed(1)) : 0; + + const sents = sentenceSplit(text); + const sentences = Math.max(1, sents.length || 1); + const avgSentenceLen = words ? Math.round(words / sentences) : 0; + + return { + id: docId, + title: formatDocTitle(docId, meta), + date: dateStr, + dateISO: dateISO || new Date(0).toISOString(), + category, + words, + uniqueWords, + lexicalDiversity, + avgSentenceLen, + grade: "—", + preview: makePreviewFromText(text), + tags: ["Document"], // ✅ never empty + _doc: doc || { text }, + }; + }); + + return out.sort((a, b) => new Date(b.dateISO) - new Date(a.dateISO)); +}; + +/* ============================================================= + component + ============================================================= */ + +export default function StudentDetail({ studentId }) { + // console.count("StudentDetail render"); + const router = useRouter(); + const searchParams = useSearchParams(); + + const studentID = searchParams.get("student_id") || String(studentId); + + const [mode, setMode] = useState(MODES.COMPARE); + const [selectedEssays, setSelectedEssays] = useState([]); + + const [cardsPerRow, setCardsPerRow] = useState(3); + const [sortBy, setSortBy] = useState("date"); + const [search, setSearch] = useState(""); + + const [filterTags, setFilterTags] = useState([]); + const [tagOpen, setTagOpen] = useState(false); + const [tagQuery, setTagQuery] = useState(""); + + const [startDate, setStartDate] = useState(""); + const [endDate, setEndDate] = useState(""); + + const [metrics, setMetrics] = useState([...DEFAULT_METRICS]); + + const [openEssay, setOpenEssay] = useState(null); + const { courseId } = useCourseIdContext(); + + const [activeQuickRange, setActiveQuickRange] = useState("all"); + + // ------ Initial dataScope: only student_with_docs ------ + const initialDataScope = useMemo(() => ({ + wo: { + execution_dag: "writing_observer", + target_exports: ["student_with_docs", "single_student_profile"], + kwargs: { + course_id: courseId, + student_id: studentID, + }, + }, + }), [courseId, studentID]); + + const origin = + process.env.NEXT_PUBLIC_LO_WS_ORIGIN?.replace(/\/+$/, "") || + getWsOriginFromWindow() || + "ws://localhost:8888"; + + // Single hook for the entire page + const { data, errors, connection } = useLOConnectionDataManager({ + url: `${origin}/wsapi/communication_protocol`, + dataScope: initialDataScope, + }); + + // ------ Derive docsObj & documentIDS from student_with_docs response ------ + const docsObj = data?.students?.[studentID]?.documents || {}; + const studentProfile = data?.students?.[studentID]?.profile?.name || {}; + const studentName = studentProfile?.full_name || studentProfile?.name || studentID; + + const getStudentById = useCallback((id) => { + const profile = data?.students?.[id]?.profile; + const name = profile?.name?.full_name || profile?.name?.name || (id ? String(id).replace(/[-_]/g, " ") : "Student"); + + const initials = name + .split(" ") + .map((w) => w[0]) + .join("") + .toUpperCase() + .slice(0, 2) || "ST"; + return { + id, + name, + initials, + avatarColor: "bg-gray-100", + textColor: "text-gray-700", + gradeLevel: profile?.grade_level || "—", + section: profile?.section || "—", + }; + }, [data]); + + const documentIDS = useMemo(() => { + const ids = Object.keys(docsObj || {}); + ids.sort(); + return ids; + }, [docsObj]); + + // ------ When documentIDS changes, send updated dataScope via connection ------ + const prevDocIDSSigRef = useRef(""); + + useEffect(() => { + const sig = documentIDS.join(","); + if (sig === prevDocIDSSigRef.current) return; + if (documentIDS.length === 0) return; + if (!connection?.sendMessage) return; + + prevDocIDSSigRef.current = sig; + + const updatedDataScope = { + wo: { + execution_dag: "writing_observer", + target_exports: ["student_with_docs", "single_student_doc_by_id", "single_student_profile"], + kwargs: { + course_id: courseId, + student_id: studentID, + doc_ids: documentIDS, + }, + } + }; + + connection.sendMessage(JSON.stringify(updatedDataScope)); + }, [documentIDS, connection, courseId, studentID]); + + const essays = useMemo(() => { + return buildEssaysFromDocs({ + studentID, + documentIDS, + docsObj, + data, + }); + }, [studentID, documentIDS, docsObj, data]); + + const metricSections = useMemo(() => { + return Object.entries(CATEGORY_KEYS).map(([categoryKey, title]) => { + const list = METRIC_DEFS_RAW.filter((m) => m.categoryKey === categoryKey).map((m) => m.id); + return { + title, + icon: iconForCategoryKey(categoryKey), + metrics: list, + }; + }); + }, []); + + const metricByKey = useCallback((key) => { + const raw = METRIC_BY_ID[key]; + if (!raw) return null; + + const get = (essay) => { + const doc = essay?._doc || {}; + const direct = doc?.[key]?.metric; + if (direct != null && !Number.isNaN(Number(direct))) return Number(direct); + return metricCoveragePercent(doc, key); + }; + + return { + key, + label: raw.title, + unit: raw.function === "percent" ? "%" : "", + get, + desc: raw.desc, + }; + }, []); + + const essaysAscAll = useMemo(() => { + return [...essays].sort((a, b) => new Date(a.dateISO) - new Date(b.dateISO)); + }, [essays]); + + const baselineByMetric = useMemo(() => { + const out = {}; + for (const k of metrics) { + const def = metricByKey(k); + if (!def) continue; + const vals = essaysAscAll.map((e) => safeNum(def.get(e), 0)); + out[k] = { median: median(vals), sd: std(vals) }; + } + return out; + }, [essaysAscAll, metrics, metricByKey]); + + const essaysInRangeAsc = useMemo(() => { + const inRange = essaysAscAll.filter((e) => { + const d = new Date(e.dateISO); + const afterStart = !startDate || d >= new Date(startDate); + const beforeEnd = !endDate || d <= new Date(endDate); + return afterStart && beforeEnd; + }); + return inRange; + }, [essaysAscAll, startDate, endDate]); + + const getSeriesForMetric = useCallback( + (key) => { + const def = metricByKey(key); + if (!def) return []; + const base = baselineByMetric[key] || { median: 0, sd: 0 }; + + return essaysInRangeAsc.map((e, idx) => { + const raw = safeNum(def.get(e), 0); + const delta = raw - base.median; + const badge = + base.sd > 0 ? (delta > 0.75 * base.sd ? "▲" : delta < -0.75 * base.sd ? "▼" : "●") : "●"; + return { + idx, + label: e.date, + title: e.title, + date: e.date, + genre: e.tags[0], + raw, + value: delta, + delta, + badge, + unit: def.unit, + }; + }); + }, + [metricByKey, baselineByMetric, essaysInRangeAsc] + ); + + const getGenreSegments = () => { + const segs = []; + if (!essaysInRangeAsc.length) return segs; + let start = 0; + let current = essaysInRangeAsc[0].tags[0]; + for (let i = 1; i < essaysInRangeAsc.length; i++) { + const g = essaysInRangeAsc[i].tags[0]; + if (g !== current) { + segs.push({ x1: start, x2: i - 1, genre: current }); + current = g; + start = i; + } + } + segs.push({ x1: start, x2: essaysInRangeAsc.length - 1, genre: current }); + return segs; + }; + const genreSegments = useMemo(() => getGenreSegments(), [essaysInRangeAsc]); + + const filteredEssaysCompare = useMemo(() => { + const byTags = (e) => filterTags.length === 0 || filterTags.some((t) => (e.tags || []).includes(t)); + const bySearch = (e) => { + if (!search.trim()) return true; + const q = search.toLowerCase(); + return ( + (e.title || "").toLowerCase().includes(q) || + (e.preview || "").toLowerCase().includes(q) || + (e.tags || []).some((t) => t.toLowerCase().includes(q)) + ); + }; + + const sorted = [...essays].sort((a, b) => { + if (sortBy === "words") return safeNum(b.words) - safeNum(a.words); + if (sortBy === "title") return (a.title || "").localeCompare(b.title || ""); + return new Date(a.dateISO) < new Date(b.dateISO) ? 1 : -1; + }); + + return sorted.filter(byTags).filter(bySearch); + }, [essays, filterTags, sortBy, search]); + + const groupedEssays = useMemo(() => { + return filteredEssaysCompare.reduce((acc, essay) => { + if (!acc[essay.category]) acc[essay.category] = []; + acc[essay.category].push(essay); + return acc; + }, {}); + }, [filteredEssaysCompare]); + + const getGridCols = () => { + switch (cardsPerRow) { + case 1: + return "grid-cols-1"; + case 2: + return "grid-cols-2"; + case 3: + return "grid-cols-3"; + case 4: + return "grid-cols-4"; + case 5: + return "grid-cols-5"; + case 6: + return "grid-cols-6"; + default: + return "grid-cols-4"; + } + }; + + const tagRef = useRef(null); + useEffect(() => { + const onClick = (e) => { + if (tagRef.current && !tagRef.current.contains(e.target)) setTagOpen(false); + }; + window.addEventListener("click", onClick); + return () => window.removeEventListener("click", onClick); + }, []); + + const applyQuickRange = (key) => { + setActiveQuickRange(key); + + if (key === "all") { + setStartDate(""); + setEndDate(""); + return; + } + + if (!essaysAscAll.length) return; + + const last = new Date(essaysAscAll[essaysAscAll.length - 1].dateISO); + const end = new Date(last); + const start2 = new Date(last); + + if (key === "3mo") start2.setMonth(start2.getMonth() - 3); + if (key === "6mo") start2.setMonth(start2.getMonth() - 6); + if (key === "9mo") start2.setMonth(start2.getMonth() - 9); + + setStartDate(start2.toISOString().slice(0, 10)); + setEndDate(end.toISOString().slice(0, 10)); + }; + + const onStartDateChange = (v) => { + setStartDate(v); + setActiveQuickRange(""); + }; + const onEndDateChange = (v) => { + setEndDate(v); + setActiveQuickRange(""); + }; + + const clearFilters = () => { + setFilterTags([]); + setTagQuery(""); + setSearch(""); + }; + const isAnyFilter = filterTags.length > 0 || search.trim().length > 0; + + const handleEssaySelect = (essayId) => { + if (mode !== MODES.COMPARE) return; + setSelectedEssays((prev) => { + if (prev.includes(essayId)) return prev.filter((id) => id !== essayId); + if (prev.length >= 2) return prev; + return [...prev, essayId]; + }); + }; + + return ( +
+
+ + +
+
+
+

Essays in Portfolio

+ +
+

{documentIDS.length}

+

Available documents

+
+ + {/* TODO: Populate top summary cards with real student analytics data, then re-enable this section. */} + {false && ( + <> +
+
+

Most Improved

+ +
+

—

+

Uses selected growth metrics

+
+ +
+
+

Biggest Decline

+ +
+

—

+

Uses selected growth metrics

+
+ +
+
+

Avg. Time on Task

+ +
+

—

+

(Not available yet)

+
+ +
+
+

Writing Fluency

+ +
+

—

+

(Not available yet)

+
+ + )} +
+ +
+
+ + + +
+
+ + {mode === MODES.GROWTH && ( +
+
+
+ + onStartDateChange(e.target.value)} + className="border-0 text-sm focus:outline-none" + aria-label="Start date" + /> + – + onEndDateChange(e.target.value)} + className="border-0 text-sm focus:outline-none" + aria-label="End date" + /> +
+ +
+ + + + + + + +
+
+
+ )} +
+ +
+ {mode === MODES.GROWTH ? ( + + ) : ( + + )} +
+
+ ); +} diff --git a/modules/portfolio_diff/src/app/students/components/StudentsIndex.js b/modules/portfolio_diff/src/app/students/components/StudentsIndex.js new file mode 100644 index 000000000..009c1c583 --- /dev/null +++ b/modules/portfolio_diff/src/app/students/components/StudentsIndex.js @@ -0,0 +1,668 @@ +"use client"; + +import { + CheckCircle, + ChevronDown, + ChevronUp, + Clock, + Download, + FileText, + Search, + Users, + AlertTriangle, + TrendingUp, + Minus, + Loader, +} from "lucide-react"; +import Link from "next/link"; +import { useMemo, useState } from "react"; +import { + useLOConnectionDataManager, + LO_CONNECTION_STATUS, +} from "lo_event/lo_event/lo_assess/components/components.jsx"; +import { useCourseIdContext } from "@/app/providers/CourseIdProvider"; +import { getWsOriginFromWindow } from "@/app/utils/ws"; + + +const SEVEN_DAYS_SECS = 7 * 24 * 60 * 60; + +function deepMerge(a, b) { + const aObj = a && typeof a === "object" && !Array.isArray(a); + const bObj = b && typeof b === "object" && !Array.isArray(b); + if (aObj && bObj) { + const out = { ...a }; + for (const k of Object.keys(b)) out[k] = deepMerge(a[k], b[k]); + return out; + } + return b; +} + +function latestLastAccessSec(availableDocuments) { + if (!availableDocuments) return null; + const docs = Object.values(availableDocuments); + if (!docs.length) return null; + + let max = null; + for (const d of docs) { + const v = d?.last_access; + if (v == null) continue; + const n = Number(v); + if (Number.isNaN(n)) continue; + if (max == null || n > max) max = n; + } + return max; +} + +function formatLastActivity(lastAccessSec) { + if (!lastAccessSec) return "—"; + + const nowSec = Date.now() / 1000; + const diffSec = Math.max(0, nowSec - Number(lastAccessSec)); + + const mins = Math.floor(diffSec / 60); + const hrs = Math.floor(diffSec / 3600); + const days = Math.floor(diffSec / 86400); + + if (mins < 1) return "Just now"; + if (mins < 60) return `${mins} min ago`; + if (hrs < 24) return `${hrs} hr${hrs === 1 ? "" : "s"} ago`; + if (days <= 14) return `${days} day${days === 1 ? "" : "s"} ago`; + + try { + return new Date(Number(lastAccessSec) * 1000).toLocaleDateString(); + } catch { + return "—"; + } +} + +function riskBadgeClass(risk) { + if (risk === "At-Risk") return "text-amber-800 bg-amber-100 ring-1 ring-inset ring-amber-200"; + if (risk === "Top Growth") return "text-emerald-800 bg-emerald-100 ring-1 ring-inset ring-emerald-200"; + if (risk === "Under Review") return "text-gray-800 bg-gray-100 ring-1 ring-inset ring-gray-200"; + return "text-gray-700 bg-gray-100 ring-1 ring-inset ring-gray-200"; +} + +function riskIcon(risk) { + if (risk === "At-Risk") return ; + if (risk === "Top Growth") return ; + if (risk === "Under Review") return ; + return ; +} + +export default function WritingPortfolioDashboard() { + // table controls + const [query, setQuery] = useState(""); + const [focusFilter, setFocusFilter] = useState("All"); // All | At-Risk | Top Growth + const [pageSize, setPageSize] = useState(10); + const [page, setPage] = useState(1); + const [sortKey, setSortKey] = useState("id"); + const [sortDir, setSortDir] = useState("asc"); + const [selected, setSelected] = useState(new Set()); + const { courseId } = useCourseIdContext(); + + // ------ LO connection setup ------ + const decoded = {}; + decoded.course_id = courseId; + decoded.student_id = [{ user_id: "tc-testcase-Alberta" }]; + decoded.document = [{ doc_id: "fake-google-doc-id-1" }]; + decoded.nlp_options = ["academic_language"]; + + const dataScope = { + wo: { + execution_dag: "writing_observer", + target_exports: ["roster", "document_list"], + kwargs: decoded, + }, + }; + + const origin = + process.env.NEXT_PUBLIC_LO_WS_ORIGIN?.replace(/\/+$/, "") || + getWsOriginFromWindow() || + "ws://localhost:8888"; + + const { data, errors, connection } = useLOConnectionDataManager({ + url: `${origin}/wsapi/communication_protocol`, + dataScope, + }); + + // Merge roster + document_list if they are separate; otherwise use data.students if already merged. + const studentsMap = useMemo(() => { + if (!data) return {}; + + // In many LO setups, patches are already applied into `data.students` + const flatStudents = data?.students ?? {}; + if (flatStudents && Object.keys(flatStudents).length) return flatStudents; + + const rosterStudents = data?.wo?.roster?.students ?? {}; + const docsStudents = data?.wo?.document_list?.students ?? {}; + + const merged = { ...rosterStudents }; + for (const [k, v] of Object.entries(docsStudents)) { + merged[k] = deepMerge(merged[k] ?? {}, v ?? {}); + } + return merged; + }, [data]); + + // Build rows for the table + const DATA = useMemo(() => { + const list = Object.values(studentsMap || {}); + return list.map((s, idx) => { + const profile = s?.profile ?? {}; + const nameObj = profile?.name ?? {}; + const availableDocuments = s?.availableDocuments ?? {}; + const docCount = Object.keys(availableDocuments).length; + + const lastAccessSec = latestLastAccessSec(availableDocuments); + const lastActivity = formatLastActivity(lastAccessSec); + + const risk = "Under Review"; + + return { + id: s?.user_id ?? `student-${idx + 1}`, + firstname: nameObj?.given_name || `Student ${idx + 1}`, + lastname: nameObj?.family_name || "", + fullname: nameObj?.full_name || `Student ${idx + 1}`, + avatar: "", + documents: docCount, + lastAccessSec: lastAccessSec ?? null, // for sorting + lastActivity, + risk, + }; + }); + }, [studentsMap]); + + // Cards metrics + const metrics = useMemo(() => { + const totalStudents = DATA.length; + + let totalDocuments = 0; + let studentsWithDocs = 0; + let active7d = 0; + + const nowSec = Date.now() / 1000; + + for (const s of DATA) { + const docs = Number(s.documents) || 0; + totalDocuments += docs; + if (docs > 0) studentsWithDocs += 1; + + const last = s.lastAccessSec ? Number(s.lastAccessSec) : null; + if (last && nowSec - last <= SEVEN_DAYS_SECS) active7d += 1; + } + + const coverage = totalStudents === 0 ? 0 : Math.round((studentsWithDocs / totalStudents) * 100); + + return { totalStudents, totalDocuments, active7d, coverage }; + }, [DATA]); + + const toggleSort = (key) => { + if (key === sortKey) setSortDir((d) => (d === "asc" ? "desc" : "asc")); + else { + setSortKey(key); + setSortDir("asc"); + } + }; + + const filtered = useMemo(() => { + let rows = DATA.slice(); + + // search + if (query.trim()) { + const q = query.toLowerCase(); + rows = rows.filter((r) => { + const full = `${r.firstname || ""} ${r.lastname || ""}`.toLowerCase(); + return full.includes(q) || String(r.id).toLowerCase().includes(q); + }); + } + + // focus tabs now drive the Risk Level column and filtering + if (focusFilter === "At-Risk") rows = rows.filter((r) => r.risk === "At-Risk"); + if (focusFilter === "Top Growth") rows = rows.filter((r) => r.risk === "Top Growth"); + + // sorting + rows.sort((a, b) => { + if (sortKey === "lastActivity") { + const aT = a.lastAccessSec ?? -Infinity; + const bT = b.lastAccessSec ?? -Infinity; + if (aT < bT) return sortDir === "asc" ? -1 : 1; + if (aT > bT) return sortDir === "asc" ? 1 : -1; + return 0; + } + + const A = a[sortKey]; + const B = b[sortKey]; + + if (A < B) return sortDir === "asc" ? -1 : 1; + if (A > B) return sortDir === "asc" ? 1 : -1; + return 0; + }); + + return rows; + }, [DATA, query, focusFilter, sortKey, sortDir]); + + // pagination + const total = filtered.length; + const totalPages = Math.max(1, Math.ceil(total / pageSize)); + const safePage = Math.min(page, totalPages); + const start = (safePage - 1) * pageSize; + const rows = filtered.slice(start, start + pageSize); + + const allIdsOnPage = (pageRows) => pageRows.map((s) => s.id); + const allSelectedOnPage = rows.length > 0 && rows.every((r) => selected.has(r.id)); + + // Loading state (improved) + const isConnecting = + connection?.status === LO_CONNECTION_STATUS.CONNECTING || + connection?.status === LO_CONNECTION_STATUS.RECONNECTING; + + const hasErrors = errors && Object.keys(errors).length > 0; + const hasStudents = (DATA?.length ?? 0) > 0; + + const showLoading = !hasErrors && !hasStudents; + + console.log(hasErrors, isConnecting, hasStudents, data); + console.log(DATA); + + const renderLoading = () => ( +
+
+
+
+ {isConnecting ? "Connecting to data source…" : "Loading roster…"} +
+
+ +
+ {[0, 1, 2, 3].map((i) => ( +
+ ))} +
+ +
+
+ {[0, 1, 2, 3, 4].map((i) => ( +
+ ))} +
+
+ ); + + const renderError = () => ( +
+
Failed to load dashboard data
+ 
{JSON.stringify(errors, null, 2)}
+
+ ); + + // Export selected rows as CSV + const exportSelectedToCsv = () => { + const esc = (v) => { + const s = v == null ? "" : String(v); + const needsQuotes = /[",\n\r]/.test(s); + const out = s.replace(/"/g, '""'); + return needsQuotes ? `"${out}"` : out; + }; + + const headers = ["ID", "First Name", "Last Name", "Documents", "Last Activity", "Risk Level"]; + + const selectedRows = DATA.filter((r) => selected.has(r.id)); + const lines = [ + headers.map(esc).join(","), + ...selectedRows.map((r) => + [r.id, r.firstname, r.lastname, r.documents, r.lastActivity, r.risk].map(esc).join(",") + ), + ]; + + const csv = lines.join("\r\n"); + const blob = new Blob([csv], { type: "text/csv;charset=utf-8;" }); + const url = URL.createObjectURL(blob); + + const a = document.createElement("a"); + a.href = url; + a.download = `students_export_${new Date().toISOString().slice(0, 10)}.csv`; + document.body.appendChild(a); + a.click(); + a.remove(); + + URL.revokeObjectURL(url); + }; + + // UPDATED: bulk bar shows ONLY Export (and performs CSV download) + const renderBulkBar = () => ( +
+
+ {selected.size} selected +
+
+ +
+
+ ); + + const renderStatsRow = () => ( +
+ {/* Total Students */} +
+

Total Students

+
+

{metrics.totalStudents}

+
+ +
+
+
+ + {/* Total Documents */} +
+

Total Documents

+
+

{metrics.totalDocuments}

+
+ +
+
+
+ + {/* Active last 7 days */} +
+

Active (Last 7 Days)

+
+

{metrics.active7d}

+
+ +
+
+
+ + {/* Roster coverage */} +
+

Roster Coverage

+
+

{metrics.coverage}%

+
+ +
+
+
+
+ ); + + const renderHeaderBar = () => ( +
+
+
+

Student Overview & Signals

+

Search for student or use the filter tabs to focus on a subset and review students' writing activities.

+
+ + {/* Tabs mapped to risk */} +
+ {["All", "At-Risk", "Top Growth"].map((opt) => ( + + ))} +
+
+
+ ); + + const renderTable = () => ( +
+
+
+

Students

+ Total: {total.toLocaleString()} +
+ +
+
+ + { + setQuery(e.target.value); + setPage(1); + }} + onKeyDown={(e) => e.stopPropagation()} + onClick={(e) => e.stopPropagation()} + className="w-full md:w-64 pl-8 pr-3 py-2 text-sm bg-white border border-gray-300 rounded-md focus:outline-none focus:ring-2 focus:ring-emerald-500" + placeholder="Search name or ID…" + autoComplete="off" + autoCorrect="off" + spellCheck={false} + /> +
+
+
+ + {selected.size > 0 && renderBulkBar()} + +
+ + + + + + {[ + { key: "id", label: "ID", align: "text-left" }, + { key: "fullname", label: "Name", align: "text-left" }, + { key: "documents", label: "Documents", align: "text-center" }, + { key: "lastActivity", label: "Last Activity", align: "text-left" }, + { key: "risk", label: "Risk Level", align: "text-left" }, + ].map((c) => ( + + ))} + + + + + + + {rows.map((student) => ( + + + + + + + + + + + + + + + + ))} + + {rows.length === 0 && ( + + + + )} + +
+ { + const next = new Set(selected); + if (e.target.checked) allIdsOnPage(rows).forEach((id) => next.add(id)); + else allIdsOnPage(rows).forEach((id) => next.delete(id)); + setSelected(next); + }} + /> + + + + Actions +
+ { + const next = new Set(selected); + if (e.target.checked) next.add(student.id); + else next.delete(student.id); + setSelected(next); + }} + /> + + {student.id} + + +
+
+ {student.avatar} +
+
{student.fullname}
+
+ + 		+ {student.documents} + + {student.lastActivity} + + + {riskIcon(student.risk)} + {student.risk} + + + + + +
+ No students match your filters. +
+
+ +
+
+
+ + {total === 0 ? "0" : `${start + 1}–${Math.min(start + pageSize, total)} of ${total.toLocaleString()}`} + + • + + +
+ +
+ + + Page {safePage} of {totalPages} + + +
+
+
+
+ ); + + return ( +
+ {/* Welcome header */} +
+
+
+
+

+ Welcome back! 👋 +

+

A snapshot of your class writing activity and progress.

+ {/* TODO implement meaningful tags for the current course being shown */} + {false && ( +
+ 📚 English 10A + 📅 Fall 2025 +
+ )} +
+
+
+
+ + {/* Main content */} +
+ {hasErrors ? renderError() : showLoading ? renderLoading() : ( + <> + {renderStatsRow()} + {renderHeaderBar()} + {renderTable()} + + )} +
+
+ ); +} diff --git a/modules/portfolio_diff/src/app/students/page.js b/modules/portfolio_diff/src/app/students/page.js new file mode 100644 index 000000000..b39d86fb7 --- /dev/null +++ b/modules/portfolio_diff/src/app/students/page.js @@ -0,0 +1,23 @@ +// app/students/page.js +"use client"; + +import { Suspense } from "react"; +import { useSearchParams } from "next/navigation"; +import StudentsIndex from "./components/StudentsIndex"; +import StudentDetail from "./components/StudentDetail"; + +function StudentsPageContent() { + const sp = useSearchParams(); + const studentId = sp.get("student_id"); + + if (!studentId) return ; + return ; +} + +export default function StudentsPage() { + return ( + Loading…
}> + + + ); +} diff --git a/modules/portfolio_diff/src/app/utils/data.js b/modules/portfolio_diff/src/app/utils/data.js new file mode 100644 index 000000000..23027c4c0 --- /dev/null +++ b/modules/portfolio_diff/src/app/utils/data.js @@ -0,0 +1,359 @@ +export const students = [ + { + id: 1, + name: "Robert Fox", + period: "Period 1A", + avgScore: 85.3, + essays: 12, + mostImproved: "Grammar", + avatar: "RF", + gender: "Male", + age: 17, + class: "1A", + missingDays: 0, + }, + { + id: 2, + name: "Marvin McKinney", + period: "Period 1B", + avgScore: 92.1, + essays: 15, + mostImproved: "Argumentation", + avatar: "MM", + gender: "Male", + age: 6, + class: "1B", + missingDays: 0, + }, + { + id: 3, + name: "Darrell Steward", + period: "Period 4C", + avgScore: 78.9, + essays: 8, + mostImproved: "Structure", + avatar: "DS", + gender: "Female", + age: 10, + class: "4C", + missingDays: 6, + }, + { + id: 4, + name: "Savannah Nguyen", + period: "Period 4C", + avgScore: 88.7, + essays: 11, + mostImproved: "Transitions", + avatar: "SN", + gender: "Male", + age: 11, + class: "4C", + missingDays: 6, + }, + { + id: 5, + name: "Dianne Russell", + period: "Period 11B", + avgScore: 91.2, + essays: 14, + mostImproved: "Grammar", + avatar: "DR", + gender: "Female", + age: 16, + class: "11B", + missingDays: 10, + }, + { + id: 6, + name: "Cody Fisher", + period: "Period 4A", + avgScore: 82.4, + essays: 9, + mostImproved: "Structure", + avatar: "CF", + gender: "Female", + age: 11, + class: "4A", + missingDays: 20, + }, + { + id: 7, + name: "Leslie Alexander", + period: "Period 5A", + avgScore: 87.6, + essays: 13, + mostImproved: "Argumentation", + avatar: "LA", + gender: "Female", + age: 12, + class: "5A", + missingDays: 0, + }, + { + id: 8, + name: "Albert Flores", + period: "Period 7B", + avgScore: 84.1, + essays: 10, + mostImproved: "Grammar", + avatar: "AF", + gender: "Male", + age: 14, + class: "7B", + missingDays: 0, + }, + { + id: 9, + name: "Ralph Edwards", + period: "Period 11C", + avgScore: 89.5, + essays: 16, + mostImproved: "Transitions", + avatar: "RE", + gender: "Male", + age: 17, + class: "11C", + missingDays: 1, + }, + { + id: 10, + name: "Darlene Robertson", + period: "Period 1A", + avgScore: 86.8, + essays: 12, + mostImproved: "Structure", + avatar: "DR", + gender: "Female", + age: 18, + class: "1A", + missingDays: 0, + }, +]; + +export const assignments = [ + { + id: 1, + title: "Persuasive Essay", + submissions: "26/28", + avgScore: 84.3, + dueDate: "May 12", + status: "Graded", + statusColor: "text-green-600 bg-green-50", + }, + { + id: 2, + title: "Book Report #2", + submissions: "22/28", + avgScore: 79.6, + dueDate: "May 5", + status: "Grading", + statusColor: "text-orange-600 bg-orange-50", + }, + { + id: 3, + title: "Poetry Analysis", + submissions: "28/28", + avgScore: 88.9, + dueDate: "Apr 30", + status: "Graded", + statusColor: "text-green-600 bg-green-50", + }, + { + id: 4, + title: "Research Paper Draft", + submissions: "18/28", + avgScore: 76.2, + dueDate: "May 20", + status: "Open", + statusColor: "text-blue-600 bg-blue-50", + }, + { + id: 5, + title: "Creative Writing", + submissions: "24/28", + avgScore: 91.4, + dueDate: "Apr 25", + status: "Graded", + statusColor: "text-green-600 bg-green-50", + }, + { + id: 6, + title: "Compare & Contrast Essay", + submissions: "28/28", + avgScore: 82.7, + dueDate: "Apr 15", + status: "Graded", + statusColor: "text-green-600 bg-green-50", + }, +]; + +export const baseTags = [ + "Argumentative", + "Narrative", + "Personal", + "Analytical", + "Reflective", + "Opinion", + "Education", + "Descriptive", + "Experience", + "Economics", + "Research", +]; + +// genre colors for shading +export const GENRE_COLORS = { + Argumentative: "#ecfccb", + Narrative: "#e0e7ff", + Analytical: "#e0f2fe", + Reflective: "#fae8ff", + Descriptive: "#fef9c3", + Personal: "#fef3c7", + Opinion: "#f5f5f5", + Education: "#f0fdf4", + Experience: "#fff1f2", + Economics: "#eef2ff", + Research: "#f1f5f9", +}; + +// ---- Metric definitions (adds longPauseRatioPct + clearer labels) ---- +export const METRIC_DEFS = [ + // PRODUCT + { + key: "wordCount", + label: "Word Count", + category: "Product", + unit: "words", + get: (e) => e.words, + }, + { + key: "uniqueWords", + label: "Unique Words", + category: "Product", + unit: "words", + get: (e) => e.uniqueWords, + }, + { + key: "lexicalDiversity", + label: "Lexical Diversity", + category: "Product", + unit: "%", + get: (e) => e.lexicalDiversity, + }, + { + key: "avgSentenceLen", + label: "Avg Sentence Length", + category: "Product", + unit: "words/sent", + get: (e) => e.avgSentenceLen, + }, + // PROCESS + { + key: "wpm", + label: "Fluency (WPM in bursts)", + category: "Process", + unit: "wpm", + get: (e) => e.wpm, + }, + { + key: "burst", + label: "Burst Length", + category: "Process", + unit: "words", + get: (e) => Math.max(1, Math.round(e.burst / 1)), + }, + { + key: "avgPauseSec", + label: "Avg Pause (sec)", + category: "Process", + unit: "sec", + get: (e) => e.avgPauseSec, + }, + { + key: "longPauseRatioPct", + label: "Long-Pause Ratio (%)", + category: "Process", + unit: "%", + get: (e) => { + const total = Math.max(1, e.pauses + e.longPauses); + return Number(((e.longPauses / total) * 100).toFixed(1)); + }, + }, + // REVISION + { + key: "revisionDepth", + label: "Revision Depth (count)", + category: "Revision", + unit: "revisions", + get: (e) => e.revisionDepth, + }, + { + key: "deletions", + label: "Deletions", + category: "Revision", + unit: "ops", + get: (e) => e.deletions, + }, + { + key: "insertions", + label: "Insertions", + category: "Revision", + unit: "ops", + get: (e) => e.insertions, + }, + { + key: "editRatioPct", + label: "Revision Density (% per 100 words)", + category: "Revision", + unit: "%", + get: (e) => e.editRatioPct, + }, + // OUTCOME + { + key: "gradePct", + label: "Grade (%)", + category: "Quality", + unit: "%", + get: (e) => gradeToPct(e.grade), + }, +]; + +export const metricSections = [ + { + name: "Product Metrics", + keys: ["wordCount", "uniqueWords", "lexicalDiversity", "avgSentenceLen"], + }, + { + name: "Process Metrics", + keys: ["wpm", "burst", "avgPauseSec", "longPauseRatioPct"], + }, + { + name: "Revision Metrics", + keys: ["revisionDepth", "deletions", "insertions", "editRatioPct"], + }, + { name: "Quality & Outcomes", keys: ["gradePct"] }, +]; + +export const DEFAULT_METRICS = [ + "wpm", + "longPauseRatioPct", + "burst", + "editRatioPct", + "gradePct", +]; + +const gradeToPct = (g) => { + const map = { + "A+": 97, + A: 94, + "A-": 91, + "B+": 88, + B: 85, + "B-": 82, + "C+": 78, + C: 75, + "C-": 72, + }; + return map[g] ?? 80; +}; \ No newline at end of file diff --git a/modules/portfolio_diff/src/app/utils/navigation.js b/modules/portfolio_diff/src/app/utils/navigation.js new file mode 100644 index 000000000..5b687c67a --- /dev/null +++ b/modules/portfolio_diff/src/app/utils/navigation.js @@ -0,0 +1,22 @@ +/** + * Force a full page navigation to a route with query params. + * This intentionally avoids Next.js router to prevent `_rsc` fetches. + * + * @param {string} path - Relative path (e.g. "students/compare") + * @param {Object} queryParams - Key/value pairs for query string + */ +export function navigateTo(path, queryParams = {}) { + if (typeof window === "undefined") return; + + const query = Object.entries(queryParams) + .filter(([, value]) => value !== undefined && value !== null && value !== "") + .map(([key, value]) => { + return `${encodeURIComponent(key)}=${encodeURIComponent(String(value))}`; + }) + .join("&"); + + const url = query ? `${path}?${query}` : path; + + // Force full navigation (prevents Next.js from app-router data fetching) + window.location.assign("/wo_portfolio_diff/portfolio_diff/" + url); +} diff --git a/modules/portfolio_diff/src/app/utils/ws.js b/modules/portfolio_diff/src/app/utils/ws.js new file mode 100644 index 000000000..528bb49e7 --- /dev/null +++ b/modules/portfolio_diff/src/app/utils/ws.js @@ -0,0 +1,15 @@ +/** + * Returns the WebSocket origin based on the current browser window location. + * + * - Uses `wss:` if the page is loaded over HTTPS. + * - Uses `ws:` if the page is loaded over HTTP. + * - Returns `null` when executed in a non-browser environment (e.g., SSR or Node.js), + * where `window` is undefined. + */ + +export function getWsOriginFromWindow() { + if (typeof window === "undefined") return null; + + const proto = window.location.protocol === "https:" ? "wss:" : "ws:"; + return `${proto}//${window.location.host}`; +} \ No newline at end of file diff --git a/modules/toy-assess/README.md b/modules/toy-assess/README.md index 1b05a7098..c161a3911 100644 --- a/modules/toy-assess/README.md +++ b/modules/toy-assess/README.md @@ -8,7 +8,7 @@ This may require also running npm audit fix You will also need to install writing_observer and package up lo_event to use inside the project. -Place to clone from: https://github.com/ETS-Next-Gen/writing_observer +Place to clone from: https://github.com/ArgLab/writing_observer cd to cloned directory, type npm install Then, inside writing_observer/modules/lo_event: diff --git a/modules/toy-assess/lo_event.sh b/modules/toy-assess/lo_event.sh index 47a29fdf5..4efe395b5 100755 --- a/modules/toy-assess/lo_event.sh +++ b/modules/toy-assess/lo_event.sh @@ -11,4 +11,4 @@ pushd ../lo_event/ npm run prebuild npm pack popd -npm install ../lo_event/lo_event-0.0.2.tgz --no-save +npm install ../lo_event/lo_event-0.0.3.tgz --no-save diff --git a/modules/toy-assess/next.config.js b/modules/toy-assess/next.config.js index 5d65a05a8..f7e13b93a 100644 --- a/modules/toy-assess/next.config.js +++ b/modules/toy-assess/next.config.js @@ -11,7 +11,7 @@ const nextConfig = { crypto: 'crypto', ws: 'ws', 'indexeddb-js': 'indexeddb-js' - }) + }); config.module.rules.push({ test: /\.jsx?$/, // This regex matches both .js and .jsx files include: [/node_modules\/lo_event/], // Include only the lo_event module @@ -19,12 +19,18 @@ const nextConfig = { loader: 'babel-loader', options: { // Add your babel presets here (e.g., @babel/preset-react) - presets: ['@babel/preset-react'], // Assuming you use React + presets: ['@babel/preset-react'] // Assuming you use React }, }, - }) - return config + }); + return config; }, -} + eslint: { + ignoreDuringBuilds: true, + }, + output: 'export', + // TODO this is only needed when building for use within LO + // basePath: '/_next/learning_observer_template/toy_assess' +}; -module.exports = nextConfig +module.exports = nextConfig; diff --git a/modules/toy-assess/package.json b/modules/toy-assess/package.json index 8834e6609..3d749bb6d 100644 --- a/modules/toy-assess/package.json +++ b/modules/toy-assess/package.json @@ -16,7 +16,7 @@ "bufferutil": "^4.0.8", "indexeddb-js": "^0.0.14", "jasmine": "^5.1.0", - "lo_event": "file:../lo_event/lo_event-0.0.2.tgz", + "lo_event": "file:../lo_event/lo_event-0.0.3.tgz", "mapbox": "^1.0.0-beta10", "mock-aws-s3": "^4.0.2", "next": "13.5.5", diff --git a/modules/toy-assess/src/app/changer/page.js b/modules/toy-assess/src/app/changer/page.js index dd529bf46..e5c6e7a0a 100644 --- a/modules/toy-assess/src/app/changer/page.js +++ b/modules/toy-assess/src/app/changer/page.js @@ -1,4 +1,4 @@ -// This is a little demo which changes the style of text +// This is a little demo that retypes text as different characters. 'use client'; // @refresh reset diff --git a/modules/toy-assess/src/app/lib/azureInterface.js b/modules/toy-assess/src/app/lib/azureInterface.js index ce09c45d2..33e317cd7 100644 --- a/modules/toy-assess/src/app/lib/azureInterface.js +++ b/modules/toy-assess/src/app/lib/azureInterface.js @@ -4,7 +4,7 @@ const { OpenAIClient, AzureKeyCredential } = require("@azure/openai"); const resource=await process.env.OPENAI_URL; const deploymentID=process.env.OPENAI_DEPLOYMENT_ID; -const key = await process.env.OPENAI_API_KEY; +const key = await process.env.OPENAI_API_KEY || 'EMPTY'; console.log("In azureInterface"); console.log("key: " + key); diff --git a/modules/toy-assess/src/app/websocket/page.js b/modules/toy-assess/src/app/websocket/page.js new file mode 100644 index 000000000..0453bee7d --- /dev/null +++ b/modules/toy-assess/src/app/websocket/page.js @@ -0,0 +1,56 @@ +// Demo to show the Websocket + +'use client'; +// @refresh reset + +// We need to import this to call init() for now +import { } from '../components.js'; + +import React, { useState, useEffect } from 'react'; +import { LOConnectionLastUpdated, useLOConnectionDataManager, LO_CONNECTION_STATUS, Button } from 'lo_event/lo_event/lo_assess/components/components.jsx'; + +export default function Home ({ children }) { + const decoded = {}; + decoded.course_id = '123456'; + const dataScope = { + wo: { + execution_dag: 'writing_observer', + target_exports: ['docs_with_nlp_annotations'], + kwargs: decoded + } + }; + + const { data, errors, connection } = useLOConnectionDataManager({ url: 'ws://localhost:8888/wsapi/communication_protocol', dataScope }); + return ( +
+

WebSocket Connection Page

+
+ +
+
+ + + +
+
+

User Data

+ {Object.keys(data).length > 0 + ? (
{JSON.stringify(data, null, 2)}
) + : (

No user data available.

) + } +
+ {Object.keys(errors).length > 0 && ( +
+

Errors

+ 
{JSON.stringify(errors, null, 2)}
+
+ )} +
+ ); +}; diff --git a/modules/wo_bulk_essay_analysis/README.md b/modules/wo_bulk_essay_analysis/README.md new file mode 100644 index 000000000..867001cdc --- /dev/null +++ b/modules/wo_bulk_essay_analysis/README.md @@ -0,0 +1,71 @@ +# Writing Observer - Classroom AI Feedback Assistant + +**Last updated:** September 30th, 2025 + +![Bulk Essay Analysis dashboard overview](_images/bulk-essay-analysis-overview.png) + +The Classroom AI Feedback Assistant dashboard helps teachers generate AI-driven feedback for an entire class of student essays in a single workspace. It combines Writing Observer's learning data with configurable prompts so you can rapidly review submissions, capture high-level trends, and craft targeted responses for each student. + +> **Who is this for?** Educators who need fast, consistent formative feedback across a large set of essays or narrative responses. + +## What you can do with this dashboard + +* **Queue AI feedback for the whole class.** Select a document source and instantly request AI-generated feedback for every student submission at once. +* **Customize prompts with placeholders.** Build prompts that reference student-specific context (e.g., `{student_text}` or custom placeholders you upload) so the AI response stays grounded in your classroom language. +* **Fine-tune the AI's voice.** Provide a system prompt that frames the tone, rubric, or learning goals you want the AI to follow. +* **Track prompt history.** Quickly re-run or iterate on past prompts without rebuilding them from scratch. +* **Monitor progress in real time.** A loading panel shows how many students have been processed so you know when the batch is complete. +* **Dive into individual students.** Expand any student tile to review their essay, the applied prompt, and the returned feedback side-by-side. +* **Adjust the layout to match your workflow.** Change tile height, students per row, and visibility of profile headers for small-group reviews or projector-friendly displays. + +## Getting started + +1. **Open the dashboard.** From the main dashboard, choose **Classroom AI Feedback Assistant** in your course navigation. The URL ends with `/wo_bulk_essay_analysis/dash/bulk-essay-analysis`. +2. **Connect to your class.** The dashboard automatically reads the course and assignment from the page URL. Use the profile sidebar to confirm you are logged in and connected. +3. **Pick a document source.** In **Settings → Document Source**, choose where essays should come from (e.g., most recent document, document accessed at specific time, etc). Adjust any source-specific options if prompted. +4. **Draft your prompts.** + * **System prompt:** Sets expectations for the AI (tone, rubric, grading stance). + * **Query prompt:** Explain what you want the AI to produce. Use placeholders such as `{student_text}` to insert student work. Add your own placeholders via the **Add** button - paste text or upload `.txt`, `.md`, `.pdf`, or `.docx` files to reference rubrics or exemplars. +5. **Review placeholder tags.** Click a placeholder pill to insert it into your query. The tag manager prevents duplicate labels and shows warnings if required content is missing. +6. **Submit the batch.** Click **Submit**. The dashboard disables the button while processing and displays a progress bar with status updates. + +## Reading the results + +![Student tile and feedback panel](_images/bulk-essay-analysis-student-tile.png) + +Each student tile shows: + +* **Profile header** (optional) with avatar, name. +* **Process tags** summarizing analytics such as time on task or current activity status. +* **Student text panel** rendered with Writing Observer's rich text component. +* **Feedback card** that fills in once the AI response returns. Loading spinners indicate students still in progress. Errors surface in a dismissible alert with debug details (visible in development mode). + +Use the expand icon on any tile to open the **Individual Student** drawer for focused review, longer scrolling feedback, or to copy responses into LMS comments. + +## Managing prompts and history + +The **Prompt History** panel (right side) stores every submitted prompt for this browser session. Selecting an entry previews the exact text that was sent. + +## Advanced configuration + +Open the **Advanced** panel to: + +* **Change layout density.** Set students-per-row and tile height for flexible layouts (e.g., 1-up for conferencing, 3-up for scanning). +* **Hide/show student profiles.** Toggle headers off when projecting or sharing anonymized work samples. +* **Switch document sources on the fly.** Quickly pivot between document sources. +* **Select information overlays.** Enable additional metrics from the Classroom Text Highlighter module (e.g., time on task) to contextualize feedback. + +## Tips for effective use + +* Start with the provided sample prompts and iterate. Short, specific requests (3-5 bullet points) generate the most actionable feedback. +* Use the tag manager to maintain a consistent rubric voice. Uploading a rubric once lets you reuse it across prompts without copy/paste. +* Watch the progress bar before closing the tab—students remaining in queue continue to update, and the bar helps you gauge completion. +* If no text is available for a student, the tile will note that explicitly so you can follow up with the student. + +## Troubleshooting + +* **Nothing happens when I click Submit.** Ensure the course URL includes `course_id` and `assignment_id`, and verify at least one placeholder (`{student_text}`) is present in your prompt. +* **The alert banner appears.** Hover to read the message. In development environments, open the error JSON to share with your technical support team. +* **PDF/DOCX uploads fail.** Confirm the file size is manageable and the content is mostly text (scanned images are not supported for extraction). + +Once configured, the Classroom AI Feedback Assistant becomes your hub for consistent, high-quality formative feedback at scale. diff --git a/modules/wo_bulk_essay_analysis/VERSION b/modules/wo_bulk_essay_analysis/VERSION new file mode 100644 index 000000000..42ec10d5b --- /dev/null +++ b/modules/wo_bulk_essay_analysis/VERSION @@ -0,0 +1 @@ +0.1.0+2026.03.06T16.07.48.997Z.0bfff3a0.berickson.20260303.copy.paste.reducer diff --git a/modules/wo_bulk_essay_analysis/_images/bulk-essay-analysis-overview.png b/modules/wo_bulk_essay_analysis/_images/bulk-essay-analysis-overview.png new file mode 100644 index 000000000..b74085665 Binary files /dev/null and b/modules/wo_bulk_essay_analysis/_images/bulk-essay-analysis-overview.png differ diff --git a/modules/wo_bulk_essay_analysis/_images/bulk-essay-analysis-student-tile.png b/modules/wo_bulk_essay_analysis/_images/bulk-essay-analysis-student-tile.png new file mode 100644 index 000000000..13c6efca4 Binary files /dev/null and b/modules/wo_bulk_essay_analysis/_images/bulk-essay-analysis-student-tile.png differ diff --git a/modules/wo_bulk_essay_analysis/pyproject.toml b/modules/wo_bulk_essay_analysis/pyproject.toml new file mode 100644 index 000000000..8fe2f47af --- /dev/null +++ b/modules/wo_bulk_essay_analysis/pyproject.toml @@ -0,0 +1,3 @@ +[build-system] +requires = ["setuptools>=42", "wheel"] +build-backend = "setuptools.build_meta" diff --git a/modules/wo_bulk_essay_analysis/setup.cfg b/modules/wo_bulk_essay_analysis/setup.cfg index 524a8e0b1..a1883dcdc 100644 --- a/modules/wo_bulk_essay_analysis/setup.cfg +++ b/modules/wo_bulk_essay_analysis/setup.cfg @@ -1,13 +1,16 @@ [metadata] -name = Writing Observer Automated Essay Feedback +name = WO Bulk Essay Analysis description = Dashboard for interfacing a classroom of essays with automated feedback -url = https://github.com/ETS-Next-Gen/writing_observer -version = 0.1 +url = https://github.com/ArgLab/writing_observer +version = file:VERSION [options] packages = find: include_package_data = true +[options.package_data] +wo_bulk_essay_analysis = assets/* + [options.entry_points] lo_modules = wo_bulk_essay_analysis = wo_bulk_essay_analysis.module diff --git a/modules/wo_bulk_essay_analysis/setup.py b/modules/wo_bulk_essay_analysis/setup.py deleted file mode 100644 index e562a4cba..000000000 --- a/modules/wo_bulk_essay_analysis/setup.py +++ /dev/null @@ -1,13 +0,0 @@ -''' -Rather minimalistic install script. To install, run `python -setup.py develop` or just install via requirements.txt -''' - -from setuptools import setup, find_packages - -setup( - name="wo_bulk_essay_analysis", - package_data={ - 'wo_bulk_essay_analysis': ['assets/*'], - } -) diff --git a/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/assets/scripts.js b/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/assets/scripts.js index fe5c7756a..6ed6589c5 100644 --- a/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/assets/scripts.js +++ b/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/assets/scripts.js @@ -8,91 +8,231 @@ if (!window.dash_clientside) { pdfjsLib.GlobalWorkerOptions.workerSrc = '/static/3rd_party/pdf.worker.min.js'; -const createStudentCard = async function (s, prompt) { - // TODO this ought to come from the comm protocol - const document = Object.keys(s.documents)[0]; - const student = s.documents[document]; - const promptHash = await hashObject({ prompt }); - - const header = { - namespace: 'dash_bootstrap_components', - type: 'CardHeader', - props: { children: student.profile.name.full_name } - }; - const studentText = { - namespace: 'lo_dash_react_components', - type: 'WOAnnotatedText', - props: { text: student.text, breakpoints: [], className: 'border-end' } - }; - const errorMessage = { - namespace: 'dash_html_components', - type: 'Div', - props: { - children: 'An error occurred while processing the text.' - } - }; - const feedbackMessage = { - namespace: 'dash_html_components', - type: 'Div', - props: { +function fetchSelectedItemsFromOptions (value, options, type) { + return options.reduce(function (filtered, option) { + if (value?.[option.id]?.[type]?.value) { + const selected = { ...option, ...value[option.id] }; + filtered.push(selected); + } + return filtered; + }, []); +} + +function createPasteBadge (children, color = 'secondary', className = 'me-1') { + return createDashComponent( + DASH_BOOTSTRAP_COMPONENTS, + 'Badge', + { children, color, className } + ); +} + +function createBinnedPasteEventsBadge (document) { + const lengthBins = document?.length_bins ?? {}; + const smallPastes = lengthBins.short_1_20 ?? 0; + const mediumPastes = lengthBins.medium_21_200 ?? 0; + const largePastes = lengthBins.long_201_plus ?? 0; + const largeColor = largePastes > 0 ? 'warning' : 'secondary'; + const mediumColor = mediumPastes > 0 ? 'warning' : 'seconday'; + + return createDashComponent( + DASH_HTML_COMPONENTS, + 'Div', + { + children: [ + createPasteBadge(`${smallPastes} small (<20)`, 'secondary'), + createPasteBadge(`${mediumPastes} medium (21-200)`,mediumColor), + createPasteBadge(`${largePastes} large (201+)`, largeColor) + ], + className: 'd-inline' + } + ); +} + +function createPasteMetricComponent (document, metricId) { + const pasteCount = document?.pastes_with_length ?? 0; + const totalPasteChars = document?.total_paste_chars ?? 0; + + switch (metricId) { + case 'paste_events': + return createPasteBadge(`${pasteCount} pastes`, pasteCount > 0 ? 'secondary' : 'light', 'me-1'); + case 'paste_bins': + return createBinnedPasteEventsBadge(document); + case 'total_paste_chars': + const totalPastedColor = totalPasteChars > 500 ? 'danger' : totalPasteChars > 100 ? 'warning' : 'secondary'; + return createPasteBadge(`${totalPasteChars} pasted chars`, totalPastedColor, 'me-1'); + case 'paste': + return createPasteMetricComponent(document, 'paste_events'); + default: + return null; + } +} + +window.WOPasteMetricHelpers = { + createPasteBadge, + createBinnedPasteEventsBadge, + createPasteMetricComponent +}; + + +function createProcessTags (document, metrics) { + const children = metrics.map(metric => { + switch (metric.id) { + case 'time_on_task': + return createDashComponent( + DASH_BOOTSTRAP_COMPONENTS, 'Badge', + { children: `${rendertime2(document[metric.id])} on task`, className: 'me-1' } + ); + case 'status': + const color = document[metric.id] === 'active' ? 'success' : 'warning'; + return createDashComponent( + DASH_BOOTSTRAP_COMPONENTS, 'Badge', + { children: document[metric.id], color } + ); + case 'paste_events': + case 'paste_bins': + case 'total_paste_chars': + case 'paste': + return window.WOPasteMetricHelpers.createPasteMetricComponent(document, metric.id); + case 'copy': + const copyCount = document?.copy_count ?? 0; + const copyColor = copyCount > 0 ? 'primary' : 'secondary' + return createDashComponent( + DASH_BOOTSTRAP_COMPONENTS, 'Badge', + { children: `${copyCount} copies`, color: copyColor } + ); + default: + break; + } + }).filter(Boolean); + return createDashComponent(DASH_HTML_COMPONENTS, 'Div', { children, className: 'sticky-top' }); +} + +async function hashObject (obj) { + const jsonString = JSON.stringify(obj); + const encoder = new TextEncoder(); + const data = encoder.encode(jsonString); + + if (crypto && crypto.subtle) { + try { + const hashBuffer = await crypto.subtle.digest('SHA-256', data); + const hashArray = Array.from(new Uint8Array(hashBuffer)); + const hashHex = hashArray.map(byte => byte.toString(16).padStart(2, '0')).join(''); + return hashHex; + } catch (error) { + console.warn('crypto.subtle.digest failed; falling back to simple hash.'); + } + } + + return simpleHash(jsonString); +} + +function simpleHash (str) { + let hash = 0; + for (let i = 0; i < str.length; i++) { + const char = str.charCodeAt(i); + hash = (hash << 5) - hash + char; + hash |= 0; + } + return hash.toString(16); +} + +const createStudentCard = function (s, promptHash, width, height, showName, selectedMetrics) { + const selectedDocument = s.doc_id || Object.keys(s.documents || {})[0] || ''; + const documentTitle = s?.availableDocuments?.[selectedDocument]?.title ?? selectedDocument ?? ''; + const student = s.documents?.[selectedDocument] ?? {}; + + const studentText = createDashComponent( + LO_DASH_REACT_COMPONENTS, 'WOAnnotatedText', + { text: student.text, breakpoints: [] } + ); + const studentTileChild = createDashComponent( + DASH_HTML_COMPONENTS, 'Div', + { + children: [ + createProcessTags({ ...student }, selectedMetrics), + studentText + ] + } + ); + const errorMessage = createDashComponent( + DASH_HTML_COMPONENTS, 'Div', + { children: 'An error occurred while processing the text.' } + ); + const feedbackMessage = createDashComponent( + DASH_CORE_COMPONENTS, 'Markdown', + { children: student?.feedback ? student.feedback : '', className: student?.feedback ? 'p-1 overflow-auto' : '', style: { whiteSpace: 'pre-line' } } - }; - const feedbackLoading = { - namespace: 'dash_html_components', - type: 'Div', - props: { - children: [{ - namespace: 'dash_bootstrap_components', - type: 'Spinner', - props: {} - }, { - namespace: 'dash_html_components', - type: 'Div', - props: { children: 'Waiting for a response.' } - }], + ); + const feedbackLoading = createDashComponent( + DASH_HTML_COMPONENTS, 'Div', + { + children: [ + createDashComponent(DASH_BOOTSTRAP_COMPONENTS, 'Spinner', {}), + createDashComponent(DASH_HTML_COMPONENTS, 'Div', { children: 'Waiting for a response.' }) + ], className: 'text-center' } - }; - const feedback = promptHash === student.option_hash ? feedbackMessage : feedbackLoading; + ); + const feedback = promptHash === student.option_hash_gpt_bulk ? feedbackMessage : feedbackLoading; const feedbackOrError = 'error' in student ? errorMessage : feedback; - const body = { - namespace: 'lo_dash_react_components', - type: 'LOPanelLayout', - props: { - children: studentText, - panels: [{ children: feedbackOrError, id: 'feedback-text', width: '40%' }], - shown: ['feedback-text'], - className: 'overflow-auto p-1' - } - }; - const card = { - namespace: 'dash_bootstrap_components', - type: 'Card', - props: { - children: [header, body], - style: { maxHeight: '375px' } - } - }; - return { - namespace: 'dash_bootstrap_components', - type: 'Col', - props: { - children: card, - id: student.user_id, - xs: 12, - lg: 6, - xxl: 4 - } - }; + const userId = student?.user_id; + if (!userId) { return null; } + + const studentTile = createDashComponent( + LO_DASH_REACT_COMPONENTS, 'WOStudentTextTile', + { + showName, + profile: student?.profile || {}, + selectedDocument, + documentTitle, + childComponent: studentTileChild, + id: { type: 'WOAIAssistStudentTileText', index: userId }, + currentOptionHash: promptHash, + currentStudentHash: student.option_hash_gpt_bulk, + style: { height: `${height}px` }, + additionalButtons: createDashComponent( + DASH_BOOTSTRAP_COMPONENTS, 'Button', + { + id: { type: 'WOAIAssistStudentTileExpand', index: userId }, + children: createDashComponent(DASH_HTML_COMPONENTS, 'I', { className: 'fas fa-expand' }), + color: 'transparent' + } + ) + } + ); + const tileWrapper = createDashComponent( + DASH_HTML_COMPONENTS, 'Div', + { + className: 'position-relative mb-2', + children: [ + studentTile, + createDashComponent( + DASH_BOOTSTRAP_COMPONENTS, 'Card', + { children: feedbackOrError, body: true } + ), + ], + id: { type: 'WOAIAssistStudentTile', index: userId }, + style: { width: `${(100 - width) / width}%` } + } + ); + return tileWrapper; }; -const checkForResponse = function (s, promptHash) { - const document = Object.keys(s.documents)[0]; - const student = s.documents[document]; - return promptHash === student.option_hash; +const checkForBulkResponse = function (s, promptHash, options) { + if (!('documents' in s)) { return false; } + const selectedDocument = s.doc_id || Object.keys(s.documents || {})[0] || ''; + const student = s.documents[selectedDocument]; + if (!student) { return false; } + return options.every(option => { + const hashKey = `option_hash_${option}`; + if (hashKey in student) { + return promptHash === student[hashKey]; + } + return option in student; + }); }; const charactersAfterChar = function (str, char) { @@ -103,36 +243,437 @@ const charactersAfterChar = function (str, char) { return str.slice(commaIndex + 1).trim(); }; +// Helper functions for extracting text from files const extractPDF = async function (base64String) { - const pdfData = atob(charactersAfterChar(base64String, ',')) - - // Use PDF.js to load and parse the PDF - const pdf = await pdfjsLib.getDocument({ data: pdfData }).promise - - const totalPages = pdf.numPages - const allTextPromises = [] - + const pdfData = atob(charactersAfterChar(base64String, ',')); + const pdf = await pdfjsLib.getDocument({ data: pdfData }).promise; + const totalPages = pdf.numPages; + const allTextPromises = []; for (let pageNumber = 1; pageNumber <= totalPages; pageNumber++) { const pageTextPromise = pdf.getPage(pageNumber).then(function (page) { - return page.getTextContent() + return page.getTextContent(); }).then(function (textContent) { - return textContent.items.map(item => item.str).join(' ') - }) - - allTextPromises.push(pageTextPromise) + return textContent.items.map(item => item.str).join(' '); + }); + allTextPromises.push(pageTextPromise); } + const allTexts = await Promise.all(allTextPromises); + return allTexts.join('\n'); +}; + +const extractTXT = async function (base64String) { + return atob(charactersAfterChar(base64String, ',')); +}; - const allTexts = await Promise.all(allTextPromises) - const allText = allTexts.join('\n') +const extractMD = async function (base64String) { + return atob(charactersAfterChar(base64String, ',')); +}; + +const extractDOCX = async function (base64String) { + const arrayBuffer = Uint8Array.from(atob(charactersAfterChar(base64String, ',')), c => c.charCodeAt(0)).buffer; + const result = await mammoth.extractRawText({ arrayBuffer }); + return result.value; +}; - return allText +const fileTextExtractors = { + pdf: extractPDF, + txt: extractTXT, + md: extractMD, + docx: extractDOCX }; +const AIAssistantLoadingQueries = ['gpt_bulk', 'time_on_task', 'activity', 'paste_metrics', 'copy_cut_metrics']; + +// ── Walkthrough step definitions ────────────────────────────────────── +const BULK_WALKTHROUGH_STEPS = [ + { + title: 'Welcome to the Classroom AI Feedback Assistant!', + icon: 'fas fa-robot', + body: [ + 'This dashboard lets you send every student\'s writing to an AI assistant ', + 'and view the feedback side-by-side with their original text.', + '\n\n', + 'Let\'s walk through how to get started — it only takes a minute.' + ].join('') + }, + { + title: 'Step 1 — Write Your Prompt', + icon: 'fas fa-pen-fancy', + body: [ + 'In the Prompt Input panel you\'ll see a text area for your query. ', + 'This is what the AI will do with each student\'s writing.\n\n', + 'Use placeholders like {student_text} to reference student essays. ', + 'You can also add custom placeholders (e.g. a rubric) via the ', + '"Add" button next to the placeholder word bank.\n\n', + 'There\'s also a system prompt that guides the AI\'s overall behavior — ', + 'you can edit it in Settings (⚙).' + ].join('') + }, + { + title: 'Step 2 — Click Submit', + icon: 'fas fa-paper-plane', + body: [ + 'Once your prompt is ready, click the "Submit" button.\n\n', + 'The dashboard will send your prompt (with each student\'s text filled in) ', + 'to the AI. A progress bar will appear while results load — this can take ', + 'a few minutes for larger classes.' + ].join('') + }, + { + title: 'Step 3 — Review AI Feedback', + icon: 'fas fa-comments', + body: [ + 'Each student tile shows their original writing on top and the AI\'s ', + 'feedback below.\n\n', + '• Click the expand icon (⤢) on any tile to open a larger view.\n', + '• Use the Settings (⚙) button to adjust tile sizes, change the document ', + 'source, or edit the system prompt.\n', + '• Your prompt history is saved so you can see what you\'ve already tried.' + ].join('') + }, + { + title: 'You\'re Ready!', + icon: 'fas fa-check-circle', + body: [ + 'That\'s everything you need to get started.\n\n', + 'You can change your prompt at any time and click "Submit" again ', + 'to get new feedback.\n\n', + 'To revisit this guide later, click the ', + 'help button (?) in the toolbar.' + ].join('') + } +]; + +/** + * Build the walkthrough modal body for a given step index. + */ +function buildBulkWalkthroughBody (step) { + const info = BULK_WALKTHROUGH_STEPS[step]; + const paragraphs = info.body.split('\n').filter(Boolean).map(line => + createDashComponent(DASH_HTML_COMPONENTS, 'P', { + children: line, + className: 'mb-2', + style: { whiteSpace: 'pre-wrap' } + }) + ); + return createDashComponent(DASH_HTML_COMPONENTS, 'Div', { + children: [ + createDashComponent(DASH_HTML_COMPONENTS, 'Div', { + children: createDashComponent(DASH_HTML_COMPONENTS, 'I', { + className: `${info.icon} fa-3x text-primary mb-3` + }), + className: 'text-center' + }), + ...paragraphs + ] + }); +} + +/** + * Build an empty-state placeholder when no student data is loaded yet. + */ +function buildBulkEmptyState () { + return createDashComponent(DASH_HTML_COMPONENTS, 'Div', { + className: 'd-flex flex-column align-items-center justify-content-center text-center py-5 w-100', + style: { minHeight: '300px', color: '#6c757d' }, + children: [ + createDashComponent(DASH_HTML_COMPONENTS, 'I', { + className: 'fas fa-users fa-4x mb-3', + style: { opacity: 0.3 } + }), + createDashComponent(DASH_HTML_COMPONENTS, 'H4', { + children: 'No student data loaded yet', + className: 'mb-3' + }), + createDashComponent(DASH_HTML_COMPONENTS, 'P', { + children: 'To get started:', + className: 'mb-2 fw-bold' + }), + createDashComponent(DASH_HTML_COMPONENTS, 'Div', { + className: 'text-start', + style: { maxWidth: '400px' }, + children: [ + createDashComponent(DASH_HTML_COMPONENTS, 'P', { + className: 'mb-1', + children: '1. Write your prompt in the Prompt Input panel above' + }), + createDashComponent(DASH_HTML_COMPONENTS, 'P', { + className: 'mb-1', + children: '2. Make sure {student_text} is included in your query' + }), + createDashComponent(DASH_HTML_COMPONENTS, 'P', { + className: 'mb-1', + children: '3. Click "Submit" to send the prompt to the AI for each student' + }) + ] + }), + createDashComponent(DASH_HTML_COMPONENTS, 'P', { + className: 'mt-3 text-muted small', + children: 'Click the ? button for a full walkthrough.' + }) + ] + }); +} + window.dash_clientside.bulk_essay_feedback = { + // ── Walkthrough callbacks ──────────────────────────────────────────── + + navigateWalkthrough: function (nextClicks, backClicks, doneClicks, skipClicks, helpClicks, currentStep) { + const triggered = window.dash_clientside.callback_context?.triggered_id; + if (!triggered) { return window.dash_clientside.no_update; } + + const totalSteps = BULK_WALKTHROUGH_STEPS.length; + + switch (triggered) { + case 'bulk-essay-analysis-walkthrough-next': + return Math.min(currentStep + 1, totalSteps - 1); + case 'bulk-essay-analysis-walkthrough-back': + return Math.max(currentStep - 1, 0); + case 'bulk-essay-analysis-walkthrough-done': + case 'bulk-essay-analysis-walkthrough-skip': + return -1; + case 'bulk-essay-analysis-help': + return 0; + default: + return window.dash_clientside.no_update; + } + }, + + renderWalkthroughStep: function (step) { + const totalSteps = BULK_WALKTHROUGH_STEPS.length; + const isOpen = step >= 0 && step < totalSteps; + + if (!isOpen) { + return [ + '', '', true, + { display: 'inline-block' }, + { display: 'none' }, + '', + false + ]; + } + + const info = BULK_WALKTHROUGH_STEPS[step]; + const body = buildBulkWalkthroughBody(step); + const isFirst = step === 0; + const isLast = step === totalSteps - 1; + const counter = `${step + 1} of ${totalSteps}`; + + return [ + info.title, + body, + isFirst, + { display: isLast ? 'none' : 'inline-block' }, + { display: isLast ? 'inline-block' : 'none' }, + counter, + true + ]; + }, + + initWalkthroughFromStorage: function (step, hasSeenWalkthrough) { + const triggered = window.dash_clientside.callback_context?.triggered_id; + + if (!triggered) { + if (hasSeenWalkthrough) { + return [-1, true]; + } + return [0, false]; + } + + if (step === -1) { + return [-1, true]; + } + + return [step, hasSeenWalkthrough]; + }, + + // ── Settings modal callbacks ───────────────────────────────────────── + + toggleSettingsModal: function (clicks, isOpen) { + if (!clicks) { return window.dash_clientside.no_update; } + return !isOpen; + }, + + applySettingsAndCloseModal: function (clicks, stagedSystemPrompt, docKwargs) { + if (!clicks) { + return [ + window.dash_clientside.no_update, + window.dash_clientside.no_update, + window.dash_clientside.no_update + ]; + } + return [stagedSystemPrompt, docKwargs, false]; + }, + + // ── Expanded student modal ─────────────────────────────────────────── + /** - * Sends data to server via websocket + * When a student tile expand button is clicked, record which student + * was selected and open the modal. + * + * Returns [selectedStudentId, isModalOpen, showIdentity]. */ - send_to_loconnection: async function (state, hash, clicks, docSrc, docDate, docTime, query, systemPrompt, tags) { + expandCurrentStudent: function (clicks, ids, isModalOpen, currentStudentId, globalShowName) { + const triggeredItem = window.dash_clientside.callback_context?.triggered_id ?? null; + if (!triggeredItem) { return window.dash_clientside.no_update; } + + // Only act on actual expand button clicks + if (triggeredItem?.type !== 'WOAIAssistStudentTileExpand') { + return window.dash_clientside.no_update; + } + + // Make sure something was actually clicked (not just initial callback fire) + const hasActualClick = clicks && clicks.some(c => c !== undefined && c !== null && c > 0); + if (!hasActualClick) { return window.dash_clientside.no_update; } + + const id = triggeredItem?.index; + const index = ids.findIndex(item => item.index === id); + if (index === -1) { return window.dash_clientside.no_update; } + + const showIdentity = globalShowName !== undefined ? globalShowName : true; + + return [id, true, showIdentity]; + }, + + /** + * Reactively render the expanded student modal content from live + * websocket data. Only builds content when the modal is actually open + * and a student is selected. + * + * Returns [studentName, docTitle, childContent]. + */ + renderExpandedStudent: async function (wsStorageData, selectedStudentId, isModalOpen, history, value, options) { + // Don't do anything if the modal isn't open + if (!isModalOpen) { + return window.dash_clientside.no_update; + } + + if (!selectedStudentId || !wsStorageData?.students) { + return [ + '', + '', + createDashComponent(DASH_HTML_COMPONENTS, 'Div', { + children: 'No student selected.', + className: 'text-muted text-center py-5' + }) + ]; + } + + const student = wsStorageData.students[selectedStudentId]; + if (!student) { + return [ + 'Student', + '', + createDashComponent(DASH_HTML_COMPONENTS, 'Div', { + children: 'Student data not available.', + className: 'text-muted text-center py-5' + }) + ]; + } + + const selectedDocument = student.doc_id || Object.keys(student.documents || {})[0] || ''; + const documentName = student?.availableDocuments?.[selectedDocument]?.title ?? selectedDocument ?? ''; + const doc = student.documents?.[selectedDocument]; + + if (!doc) { + return [ + 'Student', + documentName, + createDashComponent(DASH_HTML_COMPONENTS, 'Div', { + children: 'Document data not available yet.', + className: 'text-muted text-center py-5' + }) + ]; + } + + const names = doc.profile?.name || {}; + const studentName = [names.given_name, names.family_name] + .filter(Boolean) + .join(' ') || 'Student'; + + const selectedMetrics = fetchSelectedItemsFromOptions(value, options, 'metric'); + + // Compute prompt hash for feedback status + const currPrompt = history.length > 0 ? history[history.length - 1] : ''; + const promptHash = await hashObject({ prompt: currPrompt }); + + // Build student text + const studentText = createDashComponent( + LO_DASH_REACT_COMPONENTS, 'WOAnnotatedText', + { text: doc.text, breakpoints: [] } + ); + + const studentTileChild = createDashComponent( + DASH_HTML_COMPONENTS, 'Div', + { + children: [ + createProcessTags({ ...doc }, selectedMetrics), + studentText + ] + } + ); + + // Build feedback + const errorMessage = createDashComponent( + DASH_HTML_COMPONENTS, 'Div', + { children: 'An error occurred while processing the text.' } + ); + const feedbackMessage = createDashComponent( + DASH_CORE_COMPONENTS, 'Markdown', + { + children: doc?.feedback ? doc.feedback : '', + className: doc?.feedback ? 'p-1 overflow-auto' : '', + style: { whiteSpace: 'pre-line' } + } + ); + const feedbackLoading = createDashComponent( + DASH_HTML_COMPONENTS, 'Div', + { + children: [ + createDashComponent(DASH_BOOTSTRAP_COMPONENTS, 'Spinner', {}), + createDashComponent(DASH_HTML_COMPONENTS, 'Div', { children: 'Waiting for a response.' }) + ], + className: 'text-center' + } + ); + const feedback = promptHash === doc.option_hash_gpt_bulk ? feedbackMessage : feedbackLoading; + const feedbackOrError = 'error' in doc ? errorMessage : feedback; + + const childContent = createDashComponent( + DASH_HTML_COMPONENTS, 'Div', + { + children: [ + studentTileChild, + createDashComponent( + DASH_BOOTSTRAP_COMPONENTS, 'Card', + { children: feedbackOrError, body: true } + ) + ] + } + ); + + return [studentName, documentName, childContent]; + }, + + toggleExpandedStudentIdentity: function (clicks, currentValue) { + if (!clicks) { return window.dash_clientside.no_update; } + return !currentValue; + }, + + renderExpandedStudentIdentity: function (showIdentity) { + const visible = {}; + const hidden = { display: 'none' }; + + const titleStyle = showIdentity ? visible : hidden; + const docTitleStyle = showIdentity ? visible : hidden; + const iconClass = showIdentity ? 'fas fa-eye' : 'fas fa-eye-slash'; + + return [titleStyle, docTitleStyle, iconClass]; + }, + + // ── Core dashboard callbacks ───────────────────────────────────────── + + send_to_loconnection: async function (state, hash, clicks, docKwargs, query, appliedSystemPrompt, tags) { if (state === undefined) { return window.dash_clientside.no_update; } @@ -143,16 +684,14 @@ window.dash_clientside.bulk_essay_feedback = { decoded.gpt_prompt = ''; decoded.message_id = ''; - decoded.doc_source = docSrc; - decoded.requested_timestamp = new Date(`${docDate}T${docTime}`).getTime().toString(); - // TODO what is a reasonable time to wait inbetween subsequent calls for - // the same arguments + decoded.doc_source = docKwargs.src; + decoded.doc_source_kwargs = docKwargs.kwargs; decoded.rerun_dag_delay = 120; const trig = window.dash_clientside.callback_context.triggered[0]; if (trig.prop_id.includes('bulk-essay-analysis-submit-btn')) { decoded.gpt_prompt = query; - decoded.system_prompt = systemPrompt; + decoded.system_prompt = appliedSystemPrompt; decoded.tags = tags; } @@ -161,8 +700,8 @@ window.dash_clientside.bulk_essay_feedback = { const message = { wo: { - execution_dag: 'wo_bulk_essay_analysis', - target_exports: ['gpt_bulk'], + execution_dag: 'writing_observer', + target_exports: ['gpt_bulk', 'document_list', 'document_sources', 'time_on_task', 'activity', 'paste_metrics', 'copy_cut_metrics'], kwargs: decoded } }; @@ -171,110 +710,72 @@ window.dash_clientside.bulk_essay_feedback = { return window.dash_clientside.no_update; }, - toggleAdvanced: function (clicks, isOpen) { - if (!clicks) { - return window.dash_clientside.no_update; - } - return !isOpen; - }, - - /** - * parse message from websocket to the data and error store - */ - receive_ws_message: function (message) { - const data = JSON.parse(message.data).wo.gpt_bulk || []; - if (data.error !== undefined) { - console.error('Error received from server', data.error); - return [[], data.error]; - } - return [data, false]; - }, - - /** - * adds submitted query to history and clear input - */ update_input_history_on_query_submission: async function (clicks, query, history) { if (clicks > 0) { - return ['', history.concat(query)] + return history.concat(query); } - return [query, window.dash_clientside.no_update] + return window.dash_clientside.no_update; }, - /** - * update history based on history browser storage - */ update_history_list: function (history) { const items = history.map((x) => { - return { - namespace: 'dash_html_components', - type: 'Li', - props: { children: x } - }; + return createDashComponent(DASH_HTML_COMPONENTS, 'Li', { children: x }); }); - return { - namespace: 'dash_html_components', - type: 'Ol', - props: { children: items } - }; + return createDashComponent(DASH_HTML_COMPONENTS, 'Ol', { children: items }); }, - /** - * update student cards based on new data in storage - */ - updateStudentGridOutput: async function (wsStorageData, history) { - if (!wsStorageData) { - return 'No students'; + updateStudentGridOutput: async function (wsStorageData, history, width, height, showName, value, options) { + if (!wsStorageData?.students) { + return buildBulkEmptyState(); + } + + const students = wsStorageData.students; + if (Object.keys(students).length === 0) { + return buildBulkEmptyState(); } + const currPrompt = history.length > 0 ? history[history.length - 1] : ''; + const promptHash = await hashObject({ prompt: currPrompt }); + const selectedMetrics = fetchSelectedItemsFromOptions(value, options, 'metric'); let output = []; - for (const student in wsStorageData) { - output = output.concat(await createStudentCard(wsStorageData[student], currPrompt)); + for (const student in students) { + const card = createStudentCard(students[student], promptHash, width, height, showName, selectedMetrics); + if (card) { + output = output.concat(card); + } } return output; }, - /** - * show attachment panel upon uploading document and populate fields - * - * updates the following - * - extracted text from uploaded file - * - default attachment name (based on filename) - * - whether we show the attachment upload panel - */ - open_and_populate_attachment_panel: async function (contents, filename, timestamp, shown) { + handleFileUploadToTextField: async function (contents, filename, timestamp) { if (filename === undefined) { - return ['', '', shown]; + return ''; } - let data = '' - if (filename.endsWith('.pdf')) { - data = await extractPDF(contents); + let data = ''; + try { + const filetype = charactersAfterChar(filename, '.'); + if (filetype in fileTextExtractors) { + data = await fileTextExtractors[filetype](contents); + } else { + console.error('Unsupported file type'); + } + } catch (error) { + console.error('Error extracting text from file:', error); } - // TODO add support for docx-like files - return [data, filename.slice(0, filename.lastIndexOf('.')), shown.concat('attachment')]; + return data; }, - /** - * append tag in curly braces to input - */ add_tag_to_input: function (clicks, curr, store) { - const trig = window.dash_clientside.callback_context.triggered[0] - const trigProp = trig.prop_id - const trigJSON = JSON.parse(trigProp.slice(0, trigProp.lastIndexOf('.'))) + const trig = window.dash_clientside.callback_context.triggered[0]; + const trigProp = trig.prop_id; + const trigJSON = JSON.parse(trigProp.slice(0, trigProp.lastIndexOf('.'))); if (trig.value > 0) { - return curr.concat(` {${trigJSON.index}}`) + return curr.concat(` {${trigJSON.index}}`); } - return window.dash_clientside.no_update + return window.dash_clientside.no_update; }, - /** - * enable/disabled submit based on query - * makes sure there is a query and the tags are properly formatted - * - * updates the following components - * - submit query button disbaled status - * - helper text for why we disabled the submit query button - */ disableQuerySubmitButton: function (query, loading, store) { if (query.length === 0) { return [true, 'Please create a request before submitting.']; @@ -293,65 +794,108 @@ window.dash_clientside.bulk_essay_feedback = { return [false, '']; }, - /** - * enable/disable the save attachment button if tag is already in use/blank - * - * updates the following components - * - save button disbaled status - * - helper text for why we are disabled - */ - disable_attachment_save_button: function (label, tags) { - if (label.length === 0) { - return [true, 'Please add a unique label to your attachment'] - } else if (tags.includes(label)) { - return [true, `Label ${label} is already in use.`] + disableAttachmentSaveButton: function (label, content, currentTagStore, replacementId) { + const tags = Object.keys(currentTagStore); + if (label.length === 0 & content.length === 0) { + return [true, '']; + } else if (label.length === 0) { + return [true, 'Add a label for your content']; + } else if (content.length === 0) { + return [true, 'Add content for your label']; + } else if ((!replacementId | replacementId !== label) & tags.includes(label)) { + return [true, `Label ${label} is already in use.`]; } - return [false, ''] + return [false, '']; + }, + + openTagAddModal: function (clicks, editClicks, currentTagStore, ids) { + const triggeredItem = window.dash_clientside.callback_context?.triggered_id ?? null; + if (!triggeredItem) { return window.dash_clientside.no_update; } + if (triggeredItem === 'bulk-essay-analysis-tags-add-open-btn') { + return [true, null, '', '']; + } + const id = triggeredItem.index; + const index = ids.findIndex(item => item.index === id); + if (editClicks[index]) { + return [true, id, id, currentTagStore[id]]; + } + return window.dash_clientside.no_update; }, - /** - * populate word bank of tags - */ update_tag_buttons: function (tagStore) { const tagLabels = Object.keys(tagStore); const tags = tagLabels.map((val) => { - const button = { - namespace: 'dash_bootstrap_components', - type: 'Button', - props: { + const isStudentText = val === 'student_text'; + const button = createDashComponent( + DASH_BOOTSTRAP_COMPONENTS, 'Button', + { children: val, - id: { type: 'bulk-essay-analysis-tag', index: val }, + id: { type: 'bulk-essay-analysis-tags-tag', index: val }, n_clicks: 0, - size: 'sm', - color: 'secondary' + color: isStudentText ? 'warning' : 'info' } - }; - return button; + ); + const editButton = createDashComponent( + DASH_BOOTSTRAP_COMPONENTS, 'Button', + { + children: createDashComponent(DASH_HTML_COMPONENTS, 'I', { className: 'fas fa-edit' }), + id: { type: 'bulk-essay-analysis-tags-tag-edit', index: val }, + n_clicks: 0, + color: 'info' + } + ); + const deleteButton = createDashComponent( + DASH_CORE_COMPONENTS, 'ConfirmDialogProvider', + { + children: createDashComponent( + DASH_BOOTSTRAP_COMPONENTS, 'Button', + { + children: createDashComponent(DASH_HTML_COMPONENTS, 'I', { className: 'fas fa-trash' }), + color: 'info' + } + ), + id: { type: 'bulk-essay-analysis-tags-tag-delete', index: val }, + message: `Are you sure you want to delete the \`${val}\` placeholder?` + } + ); + const buttons = isStudentText ? [button] : [button, editButton, deleteButton]; + const buttonGroup = createDashComponent( + DASH_BOOTSTRAP_COMPONENTS, 'ButtonGroup', + { + children: buttons, + class_name: `${isStudentText ? '' : 'prompt-variable-tag'} ms-1 mb-1` + } + ); + return buttonGroup; }); return tags; }, - /** - * Save attachment to tag storage - */ - save_attachment: function (clicks, label, text, tagStore, shown) { + savePlaceholder: function (clicks, label, text, replacementId, tagStore) { if (clicks > 0) { - const newStore = tagStore - newStore[label] = text - return [newStore, shown.filter(item => item !== 'attachment')] + const newStore = { ...tagStore }; + if (!!replacementId && replacementId !== label) { + delete newStore[replacementId]; + } + newStore[label] = text; + return [newStore, false]; } - return tagStore + return window.dash_clientside.no_update; + }, + + removePlaceholder: function (clicks, tagStore, ids) { + const triggeredItem = window.dash_clientside.callback_context?.triggered_id ?? null; + if (!triggeredItem) { return window.dash_clientside.no_update; } + const id = triggeredItem.index; + const index = ids.findIndex(item => item.index === id); + if (clicks[index]) { + const newStore = { ...tagStore }; + delete newStore[id]; + return newStore; + } + return window.dash_clientside.no_update; }, - /** - * Check if we've received any errors and update - * the alert with the appropriate information - * - * returns an array which updates dash components - * - text to display on alert - * - show alert - * - JSON error data on the alert (only in debug) - */ updateAlertWithError: function (error) { if (Object.keys(error).length === 0) { return ['', false, '']; @@ -364,25 +908,35 @@ window.dash_clientside.bulk_essay_feedback = { return [text, true, error]; }, - disable_doc_src_datetime: function (value) { - if (value === 'ts') { - return [false, false]; - } - return [true, true]; - }, - updateLoadingInformation: async function (wsStorageData, history) { const noLoading = [false, 0, '']; - if (!wsStorageData) { + if (!wsStorageData?.students) { + return noLoading; + } + const students = wsStorageData.students; + const totalStudents = Object.keys(students).length; + if (totalStudents === 0) { return noLoading; } const currentPrompt = history.length > 0 ? history[history.length - 1] : ''; const promptHash = await hashObject({ prompt: currentPrompt }); - const returnedResponses = Object.values(wsStorageData).filter(student => checkForResponse(student, promptHash)).length; - const totalStudents = Object.keys(wsStorageData).length; + const returnedResponses = Object.values(students).filter(student => checkForBulkResponse(student, promptHash, AIAssistantLoadingQueries)).length; if (totalStudents === returnedResponses) { return noLoading; } const loadingProgress = returnedResponses / totalStudents + 0.1; const outputText = `Fetching responses from server. This will take a few minutes. (${returnedResponses}/${totalStudents} received)`; return [true, loadingProgress, outputText]; + }, + + adjustTileSize: function (width, height, studentIds) { + const total = studentIds.length; + return [ + Array(total).fill({ width: `${(100 - width) / width}%` }), + Array(total).fill({ height: `${height}px` }) + ]; + }, + + showHideHeader: function (show, ids) { + const total = ids.length; + return Array(total).fill(show ? 'd-none' : ''); } }; diff --git a/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/assets/styles.css b/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/assets/styles.css new file mode 100644 index 000000000..b134da7e3 --- /dev/null +++ b/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/assets/styles.css @@ -0,0 +1,8 @@ +.prompt-variable-tag button:last-child { + border-top-left-radius: 0; + border-bottom-left-radius: 0; +} + +.prompt-variable-tag>div:last-child { + display: inline; +} diff --git a/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/dashboard/layout.py b/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/dashboard/layout.py index e3ee9a69b..d98b034c3 100644 --- a/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/dashboard/layout.py +++ b/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/dashboard/layout.py @@ -4,55 +4,101 @@ ''' import dash_bootstrap_components as dbc from dash_renderjson import DashRenderjson -import datetime import lo_dash_react_components as lodrc +import random from dash import html, dcc, clientside_callback, ClientsideFunction, Output, Input, State, ALL -# TODO pull this flag from settings -DEBUG_FLAG = True +import learning_observer.settings +import wo_classroom_text_highlighter.options + +DEBUG_FLAG = learning_observer.settings.RUN_MODE == learning_observer.settings.RUN_MODES.DEV prefix = 'bulk-essay-analysis' _websocket = f'{prefix}-websocket' _namespace = 'bulk_essay_feedback' -alert = f'{prefix}-alert' -alert_text = f'{prefix}-alert-text' -alert_error_dump = f'{prefix}-alert-error-dump' +# Alert +_alert = f'{prefix}-alert' +_alert_text = f'{prefix}-alert-text' +_alert_error_dump = f'{prefix}-alert-error-dump' +# Query input query_input = f'{prefix}-query-input' +# Panel layout panel_layout = f'{prefix}-panel-layout' -_advanced_toggle = f'{prefix}-advanced-toggle' -_advanced_collapse = f'{prefix}-advanced-collapse' - -system_input = f'{prefix}-system-prompt-input' -# document source DOM ids -doc_src = f'{prefix}-doc-src' -doc_src_date = f'{prefix}-doc-src-date' -doc_src_timestamp = f'{prefix}-doc-src-timestamp' - -# attachment upload DOM ids -attachment_upload = f'{prefix}-attachment-upload' -attachment_label = f'{prefix}-attachment-label' -attachment_extracted_text = f'{prefix}-attachment-extracted-text' -attachment_save = f'{prefix}-attachment-save' -attachment_warning_message = f'{prefix}-attachment-warning-message' -attachment_store = f'{prefix}-attachment-store' - -# placeholder DOM ids -tags = f'{prefix}-tags' -placeholder_tooltip = f'{prefix}-placeholder-tooltip' -tag = f'{prefix}-tag' -tag_store = f'{prefix}-tags-store' - -# prompt history DOM ids +# ── Settings modal DOM IDs ───────────────────────────────────────────── +_settings_prefix = f'{prefix}-settings' +_settings_toggle = f'{_settings_prefix}-toggle' +_settings_modal = f'{_settings_prefix}-modal' +_settings_run = f'{_settings_prefix}-run' +_settings_doc_src = f'{_settings_prefix}-document-source' +_settings_width = f'{_settings_prefix}-width' +_settings_height = f'{_settings_prefix}-height' +_settings_hide_header = f'{_settings_prefix}-hide-header' +_settings_text_information = f'{_settings_prefix}-text-information' + +# System prompt: staged (in modal) and applied (in store) +_system_input_staged = f'{prefix}-system-prompt-staged' +_system_input_tooltip = f'{_system_input_staged}-tooltip' +_applied_system_prompt = f'{prefix}-applied-system-prompt' +_applied_doc_src = f'{_settings_prefix}-applied-doc-src' + +# Placeholder / tag DOM ids +_tags = f'{prefix}-tags' +placeholder_tooltip = f'{_tags}-placeholder-tooltip' +tag = f'{_tags}-tag' +_tag_edit = f'{tag}-edit' +_tag_delete = f'{tag}-delete' +tag_store = f'{_tags}-tags-store' +_tag_add = f'{_tags}-add' +_tag_replacement_id = f'{_tag_add}-replacement-id' +_tag_add_modal = f'{_tag_add}-modal' +_tag_add_open = f'{_tag_add}-open-btn' +_tag_add_label = f'{_tag_add}-label' +_tag_add_text = f'{_tag_add}-text' +_tag_add_upload = f'{_tag_add}-upload' +_tag_add_warning = f'{_tag_add}-warning' +_tag_add_save = f'{_tag_add}-save' + +tag_modal = dbc.Modal([ + dbc.ModalHeader('Add Placeholder'), + dbc.ModalBody([ + dbc.Input(id=_tag_replacement_id, class_name='d-none'), + dbc.Label('Label'), + dbc.Input( + placeholder='Name your placeholder (e.g., "Narrative Grade 8 Rubric")', + id=_tag_add_label, + value='' + ), + dbc.Label('Contents'), + dbc.Textarea( + placeholder='Enter text here... Uploading a file replaces this content', + id=_tag_add_text, + style={'height': '300px'}, + value='' + ), + dbc.Button( + dcc.Upload( + [html.I(className='fas fa-plus me-1'), 'Upload'], + accept='.txt,.md,.pdf,.docx', + id=_tag_add_upload + ) + ) + ]), + dbc.ModalFooter([ + html.Small(id=_tag_add_warning, className='text-danger'), + dbc.Button('Save', class_name='ms-auto', id=_tag_add_save), + ]) +], id=_tag_add_modal, is_open=False) + +# Prompt history DOM ids history_body = f'{prefix}-history-body' history_store = f'{prefix}-history-store' -favorite_store = f'{prefix}-favorite-store' -# loading message/bar DOM ids +# Loading message/bar DOM ids _loading_prefix = f'{prefix}-loading' _loading_collapse = f'{_loading_prefix}-collapse' _loading_progress = f'{_loading_prefix}-progress-bar' @@ -62,213 +108,495 @@ submit_warning_message = f'{prefix}-submit-warning-msg' grid = f'{prefix}-essay-grid' -# default prompts -system_prompt = 'You are an assistant to a language arts teacher in a school setting. '\ - 'Your task is to help the teacher assess, understand, and provide feedback on student essays.' +# ── Expanded student modal DOM IDs ───────────────────────────────────── +_expanded_student = f'{prefix}-expanded-student' +_expanded_student_modal = f'{_expanded_student}-modal' +_expanded_student_title = f'{_expanded_student}-title' +_expanded_student_child = f'{_expanded_student}-child' +_expanded_student_show_identity = f'{_expanded_student}-show-identity' +_expanded_student_show_identity_toggle = f'{_expanded_student}-show-identity-toggle' +_expanded_student_doc_title = f'{_expanded_student}-doc-title' +_expanded_student_id = f'{_expanded_student}-id' + +expanded_student_id_store = dcc.Store( + id=_expanded_student_id, + data=None +) -starting_prompt = 'Provide 3 bullet points summarizing the following text:\n{student_text}' +expanded_student_show_identity_store = dcc.Store( + id=_expanded_student_show_identity, + data=True +) + +expanded_student_modal = dbc.Modal( + [ + dbc.ModalHeader([ + dbc.ModalTitle([ + html.Div(id=_expanded_student_title), + html.Small( + id=_expanded_student_doc_title, + className='text-muted ms-2', + style={'fontSize': '0.75em'} + ), + ], className='d-flex align-items-baseline'), + dbc.Button( + html.I(className='fas fa-eye', id=f'{_expanded_student_show_identity_toggle}-icon'), + id=_expanded_student_show_identity_toggle, + color='link', + size='sm', + className='ms-2 text-secondary', + title='Show/hide student name and document title', + ), + ], close_button=True, className='d-flex align-items-center'), + dbc.ModalBody( + html.Div(id=_expanded_student_child), + style={'overflowY': 'auto'}, + ), + ], + id=_expanded_student_modal, + is_open=False, + size='xl', + centered=True, + scrollable=True, +) + +# ── Walkthrough DOM IDs ──────────────────────────────────────────────── +_walkthrough_prefix = f'{prefix}-walkthrough' +_walkthrough_store = f'{_walkthrough_prefix}-step' +_walkthrough_modal = f'{_walkthrough_prefix}-modal' +_walkthrough_title = f'{_walkthrough_prefix}-title' +_walkthrough_body = f'{_walkthrough_prefix}-body' +_walkthrough_counter = f'{_walkthrough_prefix}-counter' +_walkthrough_back = f'{_walkthrough_prefix}-back' +_walkthrough_next = f'{_walkthrough_prefix}-next' +_walkthrough_done = f'{_walkthrough_prefix}-done' +_walkthrough_skip = f'{_walkthrough_prefix}-skip' +_walkthrough_seen_store = f'{_walkthrough_prefix}-seen' +_help_button = f'{prefix}-help' + +walkthrough_seen_store = dcc.Store( + id=_walkthrough_seen_store, + storage_type='local', + data=False +) + +walkthrough_store = dcc.Store(id=_walkthrough_store, data=0) + +walkthrough_modal = dbc.Modal( + [ + dbc.ModalHeader( + dbc.ModalTitle(id=_walkthrough_title), + close_button=False, + ), + dbc.ModalBody( + html.Div(id=_walkthrough_body), + style={'minHeight': '200px'}, + ), + dbc.ModalFooter( + html.Div([ + html.Small(id=_walkthrough_counter, className='text-muted me-auto'), + dbc.Button( + [html.I(className='fas fa-forward me-1'), 'Skip intro'], + id=_walkthrough_skip, + color='link', + size='sm', + className='me-auto text-muted', + ), + dbc.Button( + [html.I(className='fas fa-arrow-left me-1'), 'Back'], + id=_walkthrough_back, + color='secondary', + outline=True, + size='sm', + className='me-2', + ), + dbc.Button( + ['Next', html.I(className='fas fa-arrow-right ms-1')], + id=_walkthrough_next, + color='primary', + size='sm', + className='me-2', + ), + dbc.Button( + [html.I(className='fas fa-check me-1'), 'Get Started!'], + id=_walkthrough_done, + color='success', + size='sm', + ), + ], className='d-flex align-items-center w-100'), + ), + ], + id=_walkthrough_modal, + is_open=False, + centered=True, + backdrop='static', + keyboard=False, + size='lg', +) + +# ── Settings Modal ───────────────────────────────────────────────────── +# Default prompts +system_prompt = ( + 'You are a helpful assistant for grade school teachers. Your task is to analyze ' + 'student writing and provide clear, constructive, and age-appropriate feedback. ' + 'Focus on key writing traits such as clarity, creativity, grammar, and organization. ' + 'When summarizing, highlight the main ideas and key details. Always maintain a ' + 'positive and encouraging tone to support student growth.' +) + +starting_prompt = [ + 'Provide 3 bullet points summarizing this text:\n{student_text}', + 'List 3 strengths in this student\'s writing. Use bullet points and focus on creativity or clear ideas:\n{student_text}', + 'Find 2-3 grammar or spelling errors in this text. For each, quote the sentence and suggest a fix:\n{student_text}', + 'Identify 1) Main theme 2) Best sentence 3) One area to improve. Use numbered responses:\n{student_text}', + 'Give one specific compliment and one gentle suggestion to improve this story:\n{student_text}' +] + +settings_modal = dbc.Modal([ + dbc.ModalHeader(dbc.ModalTitle('Dashboard Settings'), close_button=True), + dbc.ModalBody([ + lodrc.LODocumentSourceSelectorAIO(aio_id=_settings_doc_src), + dbc.Card([ + dbc.CardHeader('System Prompt'), + dbc.CardBody([ + html.P( + "The system prompt guides the AI's behavior. It sets the context " + "for how the AI should analyze or summarize student text.", + className='text-muted small mb-2', + ), + dbc.Textarea( + id=_system_input_staged, + value=system_prompt, + style={'minHeight': '150px'} + ), + ]) + ], className='my-3'), + dbc.Card([ + dbc.CardHeader('Display Settings'), + dbc.CardBody([ + dbc.Label('Students per row'), + dbc.Input(type='number', min=1, max=10, value=2, step=1, id=_settings_width), + dbc.Label('Height of student tile'), + dcc.Slider(min=100, max=800, marks=None, value=350, id=_settings_height), + dbc.Label('Student profile'), + dbc.Switch(value=True, id=_settings_hide_header, label='Show/Hide'), + ]) + ], className='mb-3'), + dbc.Card([ + dbc.CardHeader('Metrics'), + dbc.CardBody([ + html.P( + 'Select which metrics to display as badges on each student tile.', + className='text-muted small mb-3', + ), + lodrc.WOSettings( + id=_settings_text_information, + options=wo_classroom_text_highlighter.options.PROCESS_OPTIONS, + value=wo_classroom_text_highlighter.options.DEFAULT_VALUE, + className='table table-striped align-middle' + ) + ]) + ]) + ], style={'overflowY': 'auto'}), + dbc.ModalFooter( + dbc.Button( + [html.I(className='fas fa-check me-2'), 'Apply'], + id=_settings_run, + color='success', + size='lg', + className='w-100' + ) + ), +], id=_settings_modal, is_open=False, size='lg', scrollable=True, + style={'maxHeight': '100vh'}) + +# Hidden stores for applied values +applied_system_prompt_store = dcc.Store( + id=_applied_system_prompt, + data=system_prompt +) +applied_doc_src_store = dcc.Store( + id=_applied_doc_src, + data={} +) + +# Alert Component +alert_component = dbc.Alert([ + html.Div(id=_alert_text), + html.Div(DashRenderjson(id=_alert_error_dump), className='' if DEBUG_FLAG else 'd-none') +], id=_alert, color='danger', is_open=False) + +# Loading component +loading_component = dbc.Collapse([ + html.Div(id=_loading_information), + dbc.Progress(id=_loading_progress, animated=True, striped=True, max=1.1) +], id=_loading_collapse, is_open=False, class_name='mb-1 sticky-top bg-light') + +# ── Settings toolbar ─────────────────────────────────────────────────── +input_group = dbc.InputGroup([ + dbc.InputGroupText(lodrc.LOConnectionAIO(aio_id=_websocket)), + dbc.Button( + [html.I(className='fas fa-cog me-1'), 'Document Source & Display Settings'], + id=_settings_toggle, + color='secondary' + ), + dbc.Button( + [ + html.I(className='fas fa-question-circle me-1'), + 'Help' + ], + id=_help_button, + color='primary', + title='Reopen the walkthrough guide', + ), + lodrc.ProfileSidebarAIO(class_name='rounded-0 rounded-end', color='secondary'), +], class_name='mb-1 align-items-center') def layout(): ''' Generic layout function to create dashboard ''' - # advanced menu for system prompt - advanced = [ - html.Div([ - dbc.Label('System prompt'), - dbc.Textarea(id=system_input, value=system_prompt) - ]), - html.Div([ - dbc.Label('Document Source'), - dbc.RadioItems(options=[ - {'label': 'Latest Document', 'value': 'latest' }, - {'label': 'Specific Time', 'value': 'ts'}, - ], value='latest', id=doc_src), - dbc.InputGroup([ - dcc.DatePickerSingle(id=doc_src_date, date=datetime.date.today()), - dbc.Input(type='time', id=doc_src_timestamp, value=datetime.datetime.now().strftime("%H:%M")) - ]) - ]) - ] - - # history panel + # History panel history_favorite_panel = dbc.Card([ dbc.CardHeader('Prompt History'), dbc.CardBody([], id=history_body), dcc.Store(id=history_store, data=[]) ], class_name='h-100') - # attachment information panel - attachment_panel = dbc.Card([ - dbc.CardHeader('Upload'), - dbc.CardBody([ - dbc.Label('What is this?'), - dbc.Input(placeholder='e.g. argumentative attachment', id=attachment_label, value=''), - dbc.Label('Extracted text from attachment'), - dbc.Textarea(value='', id=attachment_extracted_text, style={'height': '300px'}) - ]), - dbc.CardFooter([ - html.Small(id=attachment_warning_message, className='text-danger'), - dbc.Button('Save', id=attachment_save, color='primary', n_clicks=0, class_name='float-end') - ]), - dcc.Store(id=attachment_store, data='') - ], class_name='h-100') - - # query creator panel + # Query creator panel input_panel = dbc.Card([ dbc.CardHeader('Prompt Input'), - # TODO figure out the proper way to create new tags/upload docs - # then remove the `class_name='d-none'` from this button. - dbc.Button(dcc.Upload([html.I(className='fas fa-plus me-1'), 'Upload'], accept='.pdf', id=attachment_upload), class_name='d-none'), dbc.CardBody([ - dbc.Textarea(id=query_input, value=starting_prompt, class_name='h-100', style={'minHeight': '150px'}), + dbc.Label('Query'), + dbc.Textarea( + id=query_input, + value=random.choice(starting_prompt), + class_name='h-100', + style={'minHeight': '150px'} + ), html.Div([ html.Span([ 'Placeholders', html.I(className='fas fa-circle-question ms-1', id=placeholder_tooltip) ], className='me-1'), - html.Span([], id=tags), + html.Span([], id=_tags), + dbc.Button( + [html.I(className='fas fa-add me-1'), 'Add'], + id=_tag_add_open, + class_name='ms-1 mb-1' + ) ], className='mt-1'), dbc.Tooltip( - 'Click a placeholder to insert it into your prompt. Upon submission, it will be replaced with the corresponding value.', + 'Click a placeholder to insert it into your query. Upon submission, ' + 'it will be replaced with the corresponding value.', target=placeholder_tooltip ), + tag_modal, dcc.Store(id=tag_store, data={'student_text': ''}), ]), dbc.CardFooter([ - html.Small(id=submit_warning_message, className='text-danger'), - dbc.Button('Submit', color='primary', id=submit, n_clicks=0, class_name='float-end') + html.Small(id=submit_warning_message, className='text-secondary'), + dbc.Button( + [html.I(className='fas fa-paper-plane me-1'), 'Submit'], + color='primary', + id=submit, + n_clicks=0, + class_name='float-end' + ) ]) ]) - alert_component = dbc.Alert([ - html.Div(id=alert_text), - html.Div(DashRenderjson(id=alert_error_dump), className='' if DEBUG_FLAG else 'd-none') - ], id=alert, color='danger', is_open=False) - - loading_component = dbc.Collapse([ - html.Div(id=_loading_information), - dbc.Progress(id=_loading_progress, animated=True, striped=True, max=1.1) - ], id=_loading_collapse, is_open=False, class_name='mb-1 sticky-top bg-light') - - # overall container cont = dbc.Container([ - html.H2('Writing Observer - AskGPT'), - dbc.InputGroup([ - dbc.InputGroupText(lodrc.LOConnectionAIO(aio_id=_websocket)), - dbc.Button([html.I(className='fas fa-cog me-1'), 'Advanced'], id=_advanced_toggle), - lodrc.ProfileSidebarAIO(class_name='rounded-0 rounded-end', color='secondary'), - ], class_name='mb-1'), - dbc.Collapse(advanced, id=_advanced_collapse, class_name='mb-1'), + html.H1('Writing Observer — Classroom AI Feedback Assistant'), + # Stores + applied_system_prompt_store, + applied_doc_src_store, + walkthrough_store, + walkthrough_seen_store, + expanded_student_id_store, + expanded_student_show_identity_store, + # Modals + walkthrough_modal, + settings_modal, + expanded_student_modal, + # Toolbar + html.Div([ + html.Div(input_group, className='d-flex me-2'), + html.Div(loading_component, className='d-flex') + ], className='d-flex sticky-top pb-1 bg-light'), + alert_component, + # Prompt input + history lodrc.LOPanelLayout( input_panel, panels=[ {'children': history_favorite_panel, 'width': '30%', 'id': 'history-favorite'}, - {'children': attachment_panel, 'width': '40%', 'id': 'attachment'}, ], shown=['history-favorite'], id=panel_layout ), - alert_component, html.H3('Student Text', className='mt-1'), - loading_component, - dbc.Row(id=grid, class_name='g-4'), + html.Div(id=grid, className='d-flex justify-content-between flex-wrap'), ], fluid=True) - return dcc.Loading(cont) + return html.Div(cont) + +# ══════════════════════════════════════════════════════════════════════ +# Walkthrough callbacks +# ══════════════════════════════════════════════════════════════════════ -# disbale document date/time options +# On load or when step changes, sync with localStorage clientside_callback( - ClientsideFunction(namespace='bulk_essay_feedback', function_name='disable_doc_src_datetime'), - Output(doc_src_date, 'disabled'), - Output(doc_src_timestamp, 'disabled'), - Input(doc_src, 'value') + ClientsideFunction(namespace=_namespace, function_name='initWalkthroughFromStorage'), + Output(_walkthrough_store, 'data', allow_duplicate=True), + Output(_walkthrough_seen_store, 'data'), + Input(_walkthrough_store, 'data'), + State(_walkthrough_seen_store, 'data'), + prevent_initial_call='initial_duplicate', ) -# Toggle if the advanced menu collapse is open or not +# Navigate between walkthrough steps clientside_callback( - ClientsideFunction(namespace=_namespace, function_name='toggleAdvanced'), - Output(_advanced_collapse, 'is_open'), - Input(_advanced_toggle, 'n_clicks'), - State(_advanced_collapse, 'is_open') + ClientsideFunction(namespace=_namespace, function_name='navigateWalkthrough'), + Output(_walkthrough_store, 'data'), + Input(_walkthrough_next, 'n_clicks'), + Input(_walkthrough_back, 'n_clicks'), + Input(_walkthrough_done, 'n_clicks'), + Input(_walkthrough_skip, 'n_clicks'), + Input(_help_button, 'n_clicks'), + State(_walkthrough_store, 'data'), + prevent_initial_call=True, ) -# send request on websocket +# Render walkthrough step content clientside_callback( - ClientsideFunction(namespace='bulk_essay_feedback', function_name='send_to_loconnection'), + ClientsideFunction(namespace=_namespace, function_name='renderWalkthroughStep'), + Output(_walkthrough_title, 'children'), + Output(_walkthrough_body, 'children'), + Output(_walkthrough_back, 'disabled'), + Output(_walkthrough_next, 'style'), + Output(_walkthrough_done, 'style'), + Output(_walkthrough_counter, 'children'), + Output(_walkthrough_modal, 'is_open'), + Input(_walkthrough_store, 'data'), +) + +# ══════════════════════════════════════════════════════════════════════ +# Settings modal callbacks +# ══════════════════════════════════════════════════════════════════════ + +# Toggle settings modal open +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='toggleSettingsModal'), + Output(_settings_modal, 'is_open'), + Input(_settings_toggle, 'n_clicks'), + State(_settings_modal, 'is_open'), + prevent_initial_call=True +) + +# Apply settings and close modal +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='applySettingsAndCloseModal'), + Output(_applied_system_prompt, 'data'), + Output(_applied_doc_src, 'data'), + Output(_settings_modal, 'is_open', allow_duplicate=True), + Input(_settings_run, 'n_clicks'), + State(_system_input_staged, 'value'), + State(lodrc.LODocumentSourceSelectorAIO.ids.kwargs_store(_settings_doc_src), 'data'), + prevent_initial_call=True +) + +# ══════════════════════════════════════════════════════════════════════ +# Core dashboard callbacks +# ══════════════════════════════════════════════════════════════════════ + +# Send request on websocket +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='send_to_loconnection'), Output(lodrc.LOConnectionAIO.ids.websocket(_websocket), 'send'), - Input(lodrc.LOConnectionAIO.ids.websocket(_websocket), 'state'), # used for initial setup + Input(lodrc.LOConnectionAIO.ids.websocket(_websocket), 'state'), Input('_pages_location', 'hash'), Input(submit, 'n_clicks'), - Input(doc_src, 'value'), - Input(doc_src_date, 'date'), - Input(doc_src_timestamp, 'value'), + Input(_applied_doc_src, 'data'), State(query_input, 'value'), - State(system_input, 'value'), + State(_applied_system_prompt, 'data'), State(tag_store, 'data'), ) -# enable/disabled submit based on query -# makes sure there is a query and the tags are properly formatted +# Enable/disable submit based on query clientside_callback( - ClientsideFunction(namespace='bulk_essay_feedback', function_name='disableQuerySubmitButton'), + ClientsideFunction(namespace=_namespace, function_name='disableQuerySubmitButton'), Output(submit, 'disabled'), Output(submit_warning_message, 'children'), Input(query_input, 'value'), Input(_loading_collapse, 'is_open'), - State(tag_store, 'data') + Input(tag_store, 'data') ) -# add submitted query to history and clear input +# Add submitted query to history clientside_callback( - ClientsideFunction(namespace='bulk_essay_feedback', function_name='update_input_history_on_query_submission'), - Output(query_input, 'value'), + ClientsideFunction(namespace=_namespace, function_name='update_input_history_on_query_submission'), Output(history_store, 'data'), Input(submit, 'n_clicks'), State(query_input, 'value'), State(history_store, 'data') ) -# update history based on history browser storage -# TODO create a history component that can handle favorites +# Update history list display clientside_callback( - ClientsideFunction(namespace='bulk_essay_feedback', function_name='update_history_list'), + ClientsideFunction(namespace=_namespace, function_name='update_history_list'), Output(history_body, 'children'), Input(history_store, 'data') ) -# show attachment panel upon uploading document and populate fields +# Toggle add placeholder modal +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='openTagAddModal'), + Output(_tag_add_modal, 'is_open'), + Output(_tag_replacement_id, 'value'), + Output(_tag_add_label, 'value'), + Output(_tag_add_text, 'value'), + Input(_tag_add_open, 'n_clicks'), + Input({'type': _tag_edit, 'index': ALL}, 'n_clicks'), + State(tag_store, 'data'), + State({'type': _tag_edit, 'index': ALL}, 'id'), +) + +# Handle file upload to placeholder text field clientside_callback( - ClientsideFunction(namespace='bulk_essay_feedback', function_name='open_and_populate_attachment_panel'), - Output(attachment_extracted_text, 'value'), - Output(attachment_label, 'value'), - Output(panel_layout, 'shown'), - Input(attachment_upload, 'contents'), - Input(attachment_upload, 'filename'), - Input(attachment_upload, 'last_modified'), - State(panel_layout, 'shown') + ClientsideFunction(namespace=_namespace, function_name='handleFileUploadToTextField'), + Output(_tag_add_text, 'value', allow_duplicate=True), + Input(_tag_add_upload, 'contents'), + Input(_tag_add_upload, 'filename'), + Input(_tag_add_upload, 'last_modified'), + prevent_initial_call=True ) +# Update alert with errors clientside_callback( ClientsideFunction(namespace=_namespace, function_name='updateAlertWithError'), - Output(alert_text, 'children'), - Output(alert, 'is_open'), - Output(alert_error_dump, 'data'), + Output(_alert_text, 'children'), + Output(_alert, 'is_open'), + Output(_alert_error_dump, 'data'), Input(lodrc.LOConnectionAIO.ids.error_store(_websocket), 'data') ) -# update student cards based on new data in storage +# Update student grid clientside_callback( ClientsideFunction(namespace=_namespace, function_name='updateStudentGridOutput'), Output(grid, 'children'), Input(lodrc.LOConnectionAIO.ids.ws_store(_websocket), 'data'), - Input(history_store, 'data') + Input(history_store, 'data'), + Input(_settings_width, 'value'), + Input(_settings_height, 'value'), + Input(_settings_hide_header, 'value'), + Input(_settings_text_information, 'value'), + State(_settings_text_information, 'options') ) -# append tag in curly braces to input +# Append tag to query input clientside_callback( - ClientsideFunction(namespace='bulk_essay_feedback', function_name='add_tag_to_input'), + ClientsideFunction(namespace=_namespace, function_name='add_tag_to_input'), Output(query_input, 'value', allow_duplicate=True), Input({'type': tag, 'index': ALL}, 'n_clicks'), State(query_input, 'value'), @@ -276,36 +604,48 @@ def layout(): prevent_initial_call=True ) -# enable/disable the save attachment button if tag is already in use/blank +# Enable/disable save attachment button clientside_callback( - ClientsideFunction(namespace='bulk_essay_feedback', function_name='disable_attachment_save_button'), - Output(attachment_save, 'disabled'), - Output(attachment_warning_message, 'children'), - Input(attachment_label, 'value'), - State({'type': tag, 'index': ALL}, 'value') + ClientsideFunction(namespace=_namespace, function_name='disableAttachmentSaveButton'), + Output(_tag_add_save, 'disabled'), + Output(_tag_add_warning, 'children'), + Input(_tag_add_label, 'value'), + Input(_tag_add_text, 'value'), + State(tag_store, 'data'), + State(_tag_replacement_id, 'value') ) -# populate word bank of tags +# Populate tag word bank clientside_callback( - ClientsideFunction(namespace='bulk_essay_feedback', function_name='update_tag_buttons'), - Output(tags, 'children'), + ClientsideFunction(namespace=_namespace, function_name='update_tag_buttons'), + Output(_tags, 'children'), Input(tag_store, 'data') ) -# save attachment to tag storage +# Save placeholder to storage clientside_callback( - ClientsideFunction(namespace='bulk_essay_feedback', function_name='save_attachment'), + ClientsideFunction(namespace=_namespace, function_name='savePlaceholder'), Output(tag_store, 'data'), - Output(panel_layout, 'shown', allow_duplicate=True), - Input(attachment_save, 'n_clicks'), - State(attachment_label, 'value'), - State(attachment_extracted_text, 'value'), + Output(_tag_add_modal, 'is_open', allow_duplicate=True), + Input(_tag_add_save, 'n_clicks'), + State(_tag_add_label, 'value'), + State(_tag_add_text, 'value'), + State(_tag_replacement_id, 'value'), + State(tag_store, 'data'), + prevent_initial_call=True +) + +# Remove placeholder from storage +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='removePlaceholder'), + Output(tag_store, 'data', allow_duplicate=True), + Input({'type': _tag_delete, 'index': ALL}, 'submit_n_clicks'), State(tag_store, 'data'), - State(panel_layout, 'shown'), + State({'type': _tag_delete, 'index': ALL}, 'id'), prevent_initial_call=True ) -# update loading information +# Update loading information clientside_callback( ClientsideFunction(namespace=_namespace, function_name='updateLoadingInformation'), Output(_loading_collapse, 'is_open'), @@ -314,3 +654,69 @@ def layout(): Input(lodrc.LOConnectionAIO.ids.ws_store(_websocket), 'data'), Input(history_store, 'data') ) + +# Adjust student tile size +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='adjustTileSize'), + Output({'type': 'WOAIAssistStudentTile', 'index': ALL}, 'style', allow_duplicate=True), + Output({'type': 'WOAIAssistStudentTileText', 'index': ALL}, 'style', allow_duplicate=True), + Input(_settings_width, 'value'), + Input(_settings_height, 'value'), + State({'type': 'WOAIAssistStudentTile', 'index': ALL}, 'id'), + prevent_initial_call=True +) + +# Expand a single student into modal +# ── Expand: record which student was clicked, open modal ────────────── +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='expandCurrentStudent'), + Output(_expanded_student_id, 'data'), + Output(_expanded_student_modal, 'is_open'), + Output(_expanded_student_show_identity, 'data'), + Input({'type': 'WOAIAssistStudentTileExpand', 'index': ALL}, 'n_clicks'), + State({'type': 'WOAIAssistStudentTile', 'index': ALL}, 'id'), + State(_expanded_student_modal, 'is_open'), + State(_expanded_student_id, 'data'), + State(_settings_hide_header, 'value'), + prevent_initial_call=True +) + +# ── Expand: reactively render content from live websocket data ──────── +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='renderExpandedStudent'), + Output(_expanded_student_title, 'children'), + Output(_expanded_student_doc_title, 'children'), + Output(_expanded_student_child, 'children'), + Input(lodrc.LOConnectionAIO.ids.ws_store(_websocket), 'data'), + Input(_expanded_student_id, 'data'), + State(_expanded_student_modal, 'is_open'), + State(history_store, 'data'), + State(_settings_text_information, 'value'), + State(_settings_text_information, 'options'), +) + +# Toggle identity visibility within the expanded modal +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='toggleExpandedStudentIdentity'), + Output(_expanded_student_show_identity, 'data', allow_duplicate=True), + Input(_expanded_student_show_identity_toggle, 'n_clicks'), + State(_expanded_student_show_identity, 'data'), + prevent_initial_call=True +) + +# Render identity visibility in the expanded modal (hide/show name, doc title, icon) +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='renderExpandedStudentIdentity'), + Output(_expanded_student_title, 'style'), + Output(_expanded_student_doc_title, 'style'), + Output(f'{_expanded_student_show_identity_toggle}-icon', 'className'), + Input(_expanded_student_show_identity, 'data'), +) + +# Show/hide student tile headers +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='showHideHeader'), + Output({'type': 'WOAIAssistStudentTileText', 'index': ALL}, 'showName'), + Input(_settings_hide_header, 'value'), + State({'type': 'WOAIAssistStudentTileText', 'index': ALL}, 'id'), +) diff --git a/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/gpt.py b/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/gpt.py index baf06a6a1..7562f9ef8 100644 --- a/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/gpt.py +++ b/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/gpt.py @@ -1,175 +1,12 @@ -import aiohttp -import loremipsum -import os - import learning_observer.communication_protocol.integration -from learning_observer.log_event import debug_log +import learning_observer.cache import learning_observer.prestartup import learning_observer.settings +import lo_gpt.gpt + template = """[Task]\n{question}\n\n[Essay]\n{text}""" rubric_template = """{task}\n\n[Rubric]\n{rubric}""" -gpt_responder = None - - -class GPTAPI: - def chat_completion(self, prompt, system_prompt): - ''' - Respond to user prompt - ''' - raise NotImplementedError - - -class GPTInitializationError(Exception): - '''Raise when GPT fails to initialize. - This usually happens when the users forgets to - provide information in the `creds.yaml` file. - ''' - - -class GPTRequestErorr(Exception): - '''Raise when the GPT chat completion raises - an exception - ''' - - -class OpenAIGPT(GPTAPI): - def __init__(self, **kwargs): - ''' - kwargs: - - `model`: the GPT model we should use, defaults to `gpt-3.5-turbo-16k` - - `api_key`: OpenAI api key, defaults to the `OPENAI_API_KEY` environment variable. - ''' - super().__init__() - self.model = kwargs.get('model', 'gpt-3.5-turbo-16k') - self.api_key = kwargs.get('api_key', os.getenv('OPENAI_API_KEY')) - if self.api_key is None: - exception_text = 'Error while starting openai:\n'\ - 'Please ensure that the API Key is correctly configured in '\ - '`creds.yaml` under `modules.writing_observer.gpt_responders.openai.api_key`, '\ - 'or alternatively, set it as the `OPENAI_API_KEY` environment '\ - 'variable.' - raise GPTInitializationError(exception_text) - - async def chat_completion(self, prompt, system_prompt): - url = 'https://api.openai.com/v1/chat/completions' - headers = {'Content-Type': 'application/json', 'Authorization': f'Bearer {self.api_key}'} - messages = [ - {'role': 'system', 'content': system_prompt}, - {'role': 'user', 'content': prompt} - ] - content = {'model': self.model, 'messages': messages} - async with aiohttp.ClientSession() as session: - async with session.post(url, headers=headers, json=content) as resp: - json_resp = await resp.json() - if resp.status == 200: - return json_resp['choices'][0]['message']['content'] - error = 'Error occured while making OpenAI request' - if 'error' in json_resp: - error += f"\n{json_resp['error']['message']}" - raise GPTRequestErorr(error) - - -class OllamaGPT(GPTAPI): - '''GPT responder for handling request to the Ollama API - ''' - def __init__(self, **kwargs): - ''' - kwargs - - `model`: the GPT model we should use, defaults to `llama2` - - `host`: Ollama server to connect to - the Ollama client will - default to `localhost:11434`. - ''' - super().__init__() - self.model = kwargs.get('model', 'llama2') - # the Ollama client checks for the `OLLAMA_HOST` env variable - # or defaults to `localhost:11434`. We provide a warning when - # a specific host is not found. - self.ollama_host = kwargs.get('host', os.getenv('OLLAMA_HOST', None)) - if self.ollama_host is None: - debug_log('WARNING:: Ollama host not specified. Defaulting to '\ - '`localhost:11434`.\nTo set a specific host, set '\ - '`modules.writing_observer.gpt_responders.ollama.host` '\ - 'in `creds.yaml` or set the `OLLAMA_HOST` environment '\ - 'variable.\n'\ - 'If you wish to install Ollama and download a model, '\ - 'run the following commands:\n'\ - '```bash\ncurl https://ollama.ai/install.sh | sh\n'\ - 'ollama run \n```') - self.ollama_host = 'http://localhost:11434' - - async def chat_completion(self, prompt, system_prompt): - '''Ollama only returns a single item compared to GPT returning a list - ''' - url = f'{self.ollama_host}/api/chat' - messages = [ - {'role': 'system', 'content': system_prompt}, - {'role': 'user', 'content': prompt} - ] - content = {'model': self.model, 'messages': messages, 'stream': False} - async with aiohttp.ClientSession() as session: - async with session.post(url, json=content) as resp: - json_resp = await resp.json() - if resp.status == 200: - return json_resp['message']['content'] - error = 'Error occured while making Ollama request' - if 'error' in json_resp: - error += f"\n{json_resp['error']['message']}" - raise GPTRequestErorr(error) - - -class StubGPT(GPTAPI): - '''GPT responder for handling stub requests - ''' - def __init__(self, **kwargs): - super().__init__() - - async def chat_completion(self, prompt, system_prompt): - return "\n".join(loremipsum.get_paragraphs(1)) - - -GPT_RESPONDERS = { - 'openai': OpenAIGPT, - 'ollama': OllamaGPT, - 'stub': StubGPT -} - - -@learning_observer.prestartup.register_startup_check -def initialize_gpt_responder(): - '''Iterate over the gpt_responders listed in `creds.yaml` - and attempt to initialize it. On successful initialization - of a responder, exit the this startup check. Otherwise, - try the next one. - ''' - global gpt_responder - # TODO change this to use settings.module_settings() instead - # that method now uses pmss which doesn't support lists and - # dictionaries yet. - responders = learning_observer.settings.settings['modules']['writing_observer'].get('gpt_responders', {}) - exceptions = [] - for key in responders: - if key not in GPT_RESPONDERS: - exceptions.append(KeyError( - f'GPT Responder `{key}` is not yet configured on this system.\n'\ - f'The available responders are [{", ".join(GPT_RESPONDERS.keys())}].' - )) - continue - try: - gpt_responder = GPT_RESPONDERS[key](**responders[key]) - debug_log(f'INFO:: Using GPT responder `{key}` with model `{responders[key]["model"]}`') - return True - except GPTInitializationError as e: - exceptions.append(e) - debug_log(f'WARNING:: Unable to initialize GPT responder `{key}:`.\n{e}') - gpt_responder = None - no_responders = 'No GPT responders found in `creds.yaml`. To add a responder, add either'\ - '`openai` or `ollama` along with any subsettings to `modules.writing_observer.gpt_responders`.\n'\ - 'Example:\n```\ngpt_responders:\n ollama:\n model: llama2\n```' - exception_strings = '\n'.join(str(e) for e in exceptions) if len(exceptions) > 0 else no_responders - exception_text = 'Unable to initialize a GPT responder. Encountered the following errors:\n'\ - f'{exception_strings}' - raise learning_observer.prestartup.StartupCheck("GPT: " + exception_text) @learning_observer.communication_protocol.integration.publish_function('wo_bulk_essay_analysis.gpt_essay_prompt') @@ -183,7 +20,7 @@ async def process_student_essay(text, prompt, system_prompt, tags): @learning_observer.cache.async_memoization() async def gpt(gpt_prompt): - completion = await gpt_responder.chat_completion(gpt_prompt, system_prompt) + completion = await lo_gpt.gpt.gpt_responder.chat_completion(gpt_prompt, system_prompt) return completion if len(prompt) == 0: @@ -208,17 +45,3 @@ async def gpt(gpt_prompt): 'prompt': prompt } return output - - -async def test_responder(): - responder = OllamaGPT() - response = await responder.chat_completion('Why is the sky blue?', 'You are a helper agent, please help fulfill user requests.') - print('Response:', response) - - -if __name__ == '__main__': - import asyncio - loop = asyncio.get_event_loop() - asyncio.ensure_future(test_responder()) - loop.run_forever() - loop.close() diff --git a/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/module.py b/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/module.py index d4c9f951c..0f180f754 100644 --- a/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/module.py +++ b/modules/wo_bulk_essay_analysis/wo_bulk_essay_analysis/module.py @@ -6,15 +6,15 @@ import wo_bulk_essay_analysis.dashboard.layout -NAME = "Writing Observer - AskGPT" +NAME = "Writing Observer - Classroom AI Feedback Assistant" DASH_PAGES = [ { "MODULE": wo_bulk_essay_analysis.dashboard.layout, "LAYOUT": wo_bulk_essay_analysis.dashboard.layout.layout, "ASSETS": 'assets', - "TITLE": "AskGPT", - "DESCRIPTION": "The AskGPT is a robust educational tool that leverages AI to simultaneously analyze and provide feedback on large batches of essays, delivering comprehensive insights and constructive critiques for educators in diverse group settings.", + "TITLE": "Classroom AI Feedback Assistant", + "DESCRIPTION": "The Classroom AI Feedback Assistant is a robust educational tool that leverages AI to simultaneously analyze and provide feedback on large batches of essays, delivering comprehensive insights and constructive critiques for educators in diverse group settings.", "SUBPATH": "bulk-essay-analysis", "CSS": [ thirdparty_url("css/bootstrap.min.css"), @@ -22,34 +22,15 @@ ], "SCRIPTS": [ thirdparty_url('pdf.js'), - thirdparty_url('pdf.worker.js') + thirdparty_url('pdf.worker.js'), + thirdparty_url('mammoth.js') ] } ] -gpt_bulk_essay = q.call('wo_bulk_essay_analysis.gpt_essay_prompt') - -EXECUTION_DAG = { - 'execution_dag': { - 'gpt_map': q.map( - gpt_bulk_essay, - values=q.variable('writing_observer.docs'), - value_path='text', - func_kwargs={'prompt': q.parameter('gpt_prompt'), 'system_prompt': q.parameter('system_prompt'), 'tags': q.parameter('tags', required=False, default={})}, - parallel=True - ), - 'gpt_bulk': q.join(LEFT=q.variable('gpt_map'), LEFT_ON='provenance.provenance.provenance.STUDENT.value.user_id', RIGHT=q.variable('writing_observer.roster'), RIGHT_ON='user_id') - }, - 'exports': { - 'gpt_bulk': { - 'returns': 'gpt_bulk', - 'parameters': ['course_id', 'gpt_prompt', 'system_prompt'], - 'output': '' - } - } -} THIRD_PARTY = { + # PDF parser for reading in files clientside 'pdf.js': { 'url': 'https://cdnjs.cloudflare.com/ajax/libs/pdf.js/3.9.179/pdf.min.js', 'hash': { @@ -64,6 +45,14 @@ '3ebb7dad9946bd3d00bdcd29527dc753fde4b950b2a7a052bd8f66ee643bb736767' } }, + # Docx parser for reading in files clientside + 'mammoth.js': { + 'url': 'https://cdnjs.cloudflare.com/ajax/libs/mammoth/1.9.0/mammoth.browser.min.js', + 'hash': { + '1.9.0': '7e77162c6d0103528615896ba72fcca385ab2f64699cd06d744a6d740c16179' + '322e02e2d45adf1c4d8720f6c8ac7c54e19c6a061eb0814f2abb4b80738d8766a' + } + }, "css/bootstrap.min.css": d.BOOTSTRAP_MIN_CSS, "css/fontawesome_all.css": d.FONTAWESOME_CSS, "webfonts/fa-solid-900.woff2": d.FONTAWESOME_WOFF2, diff --git a/modules/wo_classroom_text_highlighter/README.md b/modules/wo_classroom_text_highlighter/README.md index b1f7f2edf..f088d3bb1 100644 --- a/modules/wo_classroom_text_highlighter/README.md +++ b/modules/wo_classroom_text_highlighter/README.md @@ -1,5 +1,58 @@ -# WO Classroom Text Highlighter +# Writing Observer - Classroom Text Highlighter -The Writing Observer Classroom Text Highlighter is dashboard for highlighting student text. -Teachers are preseted with a grid of their students and a document for each of them. -Then, the teachers can select different language metrics to highlight the text with. +**Last updated:** September 30th, 2025 + +![Classroom Text Highlighter dashboard overview](_images/classroom-text-highlighter-overview.png) + +The Classroom Text Highlighter dashboard visualizes student writing with rich NLP-driven annotations. Use it to help students notice patterns in their drafts, guide whole-class discussions, or plan targeted mini-lessons based on the language skills your learners are using. + +> **Who is this for?** Teachers who want to explore student writing through highlights, time-on-task metrics, and reusable annotation presets. + +## What you can do with this dashboard + +* **Display student writing at a glance.** See every student's document in a responsive grid, with quick navigation between document sources. +* **Highlight key language features.** Turn on NLP indicators (parts of speech, sentence structures, tone, etc.) and instantly spot trends across the class. +* **Track writing behaviors.** Add process metrics such as time on task or status badges so you know who is still working versus finished. +* **Save and reuse presets.** Build highlight collections (e.g., "Argumentative Evidence" or "Narrative Voice") and recall them with one click. +* **Surface a legend for students.** Share the color key so learners understand what each highlight represents during conferences or gallery walks. +* **Zoom into individual students.** Expand any tile for a focused view, ideal for projecting on screen or printing annotated drafts. + +## Getting started + +1. **Open the dashboard.** From the primary dashboard, select **Classroom Text Highlighter**. The dashboard loads at `/wo_classroom_text_highlighter/dash`. +2. **Confirm the connection.** The WebSocket indicator in the toolbar should be green. If not, check your login status via the profile sidebar. +3. **Pick a document source.** In **Settings → Document Source**, choose where essays should come from (e.g., most recent document, document accessed at specific time, etc). Adjust any source-specific options if prompted. +4. **Select NLP options.** In the **Information Options** table, check the highlights and metrics you want to display. Group headers (e.g., *Text Information*, *Process Information*) expand to reveal individual features. +5. **Adjust the layout.** Use the view controls to set students per row, tile height, and whether student names appear. These settings make it easy to adapt the dashboard for stations, projector mode, or screen readers. + +## Working with highlights and presets + +![Highlight configuration panel](_images/classroom-text-highlighter-options.png) + +* **Legend button:** Shows the current highlight color key so you can share the meaning with students. +* **Presets panel:** Save combinations of options (e.g., "Sentence Structure") for future lessons. Name your preset, click **Add Preset**, and it stores the current configuration. Select a preset from the list to instantly apply it. +* **Deselect All preset:** Quickly clears every highlight and metric selection if you want to start fresh. +* **Custom colors:** Customize colors for each selected highlightable item. + +## Exploring student writing + +![Expanded student tile](_images/classroom-text-highlighter-student.png) + +* **Student tiles:** Each tile shows badges for selected metrics (time on task, status) followed by the highlighted text. Tiles resize automatically based on your layout settings. +* **Expand view:** Click the expand icon to open the **Individual Student** drawer. This view removes the grid so you can focus on one student, scroll without distractions, and discuss highlights during conferences. +* **Loading feedback:** A progress bar appears while new highlights are generated. The banner updates with counts so you know when all documents are ready. + +## Tips for classroom use + +* Begin mini-lessons by projecting the legend and a few anonymized tiles. Have students identify how the highlights connect to the day's learning target. +* Combine process metrics with highlights to spot students who spent little time on task but still produced strong structures—perfect for peer coaching pairs. +* Encourage student self-assessment by sharing individual tiles and asking learners to explain why certain phrases received highlights. + +## Troubleshooting + +* **No students appear.** Ensure the URL contains a `course_id` and that the selected document source has submissions. Try toggling the Options panel to refresh the selection. +* **Highlights don't change after I toggle options.** Wait for the loading banner to disappear; the dashboard batches NLP requests and updates tiles when processing finishes. +* **Colors are confusing.** Use the legend button to review the palette, or save a preset with fewer simultaneous highlights. +* **Error alert shows up.** Read the message for guidance. The dashboard records error details (visible to developers) that you can share with your support contact. + +With the Classroom Text Highlighter, you can transform raw student writing into an interactive, data-informed experience that keeps learners engaged and reflective. diff --git a/modules/wo_classroom_text_highlighter/VERSION b/modules/wo_classroom_text_highlighter/VERSION new file mode 100644 index 000000000..42ec10d5b --- /dev/null +++ b/modules/wo_classroom_text_highlighter/VERSION @@ -0,0 +1 @@ +0.1.0+2026.03.06T16.07.48.997Z.0bfff3a0.berickson.20260303.copy.paste.reducer diff --git a/modules/wo_classroom_text_highlighter/_images/classroom-text-highlighter-options.png b/modules/wo_classroom_text_highlighter/_images/classroom-text-highlighter-options.png new file mode 100644 index 000000000..0cce1f8cc Binary files /dev/null and b/modules/wo_classroom_text_highlighter/_images/classroom-text-highlighter-options.png differ diff --git a/modules/wo_classroom_text_highlighter/_images/classroom-text-highlighter-overview.png b/modules/wo_classroom_text_highlighter/_images/classroom-text-highlighter-overview.png new file mode 100644 index 000000000..1a9380e3c Binary files /dev/null and b/modules/wo_classroom_text_highlighter/_images/classroom-text-highlighter-overview.png differ diff --git a/modules/wo_classroom_text_highlighter/_images/classroom-text-highlighter-student.png b/modules/wo_classroom_text_highlighter/_images/classroom-text-highlighter-student.png new file mode 100644 index 000000000..b58d22cc9 Binary files /dev/null and b/modules/wo_classroom_text_highlighter/_images/classroom-text-highlighter-student.png differ diff --git a/modules/wo_classroom_text_highlighter/pyproject.toml b/modules/wo_classroom_text_highlighter/pyproject.toml new file mode 100644 index 000000000..8fe2f47af --- /dev/null +++ b/modules/wo_classroom_text_highlighter/pyproject.toml @@ -0,0 +1,3 @@ +[build-system] +requires = ["setuptools>=42", "wheel"] +build-backend = "setuptools.build_meta" diff --git a/modules/wo_classroom_text_highlighter/setup.cfg b/modules/wo_classroom_text_highlighter/setup.cfg index 50964c01d..5ad128574 100644 --- a/modules/wo_classroom_text_highlighter/setup.cfg +++ b/modules/wo_classroom_text_highlighter/setup.cfg @@ -1,10 +1,14 @@ [metadata] -name = Writing Observer Classroom Text Highlighter +name = WO Classroom Text Highlighter +version = file:VERSION description = Use this as a base template for creating new modules on the Learning Observer. [options] packages = wo_classroom_text_highlighter +[options.package_data] +wo_classroom_text_highlighter = assets/* + [options.entry_points] lo_modules = wo_classroom_text_highlighter = wo_classroom_text_highlighter.module diff --git a/modules/wo_classroom_text_highlighter/setup.py b/modules/wo_classroom_text_highlighter/setup.py deleted file mode 100644 index 77bd0119f..000000000 --- a/modules/wo_classroom_text_highlighter/setup.py +++ /dev/null @@ -1,14 +0,0 @@ -''' -Install script. Everything is handled in setup.cfg - -To set up locally for development, run `python setup.py develop`, in a -virtualenv, preferably. -''' -from setuptools import setup - -setup( - name="wo_classroom_text_highlighter", - package_data={ - 'wo_classroom_text_highlighter': ['assets/*'], - } -) diff --git a/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/assets/general.css b/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/assets/general.css index 9138b7239..839d40551 100644 --- a/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/assets/general.css +++ b/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/assets/general.css @@ -21,4 +21,11 @@ .preset button:last-child { border-top-left-radius: 0; border-bottom-left-radius: 0; -} \ No newline at end of file +} + +.modal-backdrop.show { + backdrop-filter: blur(20px) saturate(0.5); + -webkit-backdrop-filter: blur(20px) saturate(0.5); + background-color: rgba(0, 0, 0, 0.7) !important; + opacity: 1 !important; +} diff --git a/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/assets/scripts.js b/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/assets/scripts.js index 6167cfc4a..d05e6785b 100644 --- a/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/assets/scripts.js +++ b/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/assets/scripts.js @@ -2,33 +2,46 @@ * Javascript callbacks to be used with the LO Example dashboard */ -// Initialize the `dash_clientside` object if it doesn't exist if (!window.dash_clientside) { window.dash_clientside = {}; } const DASH_HTML_COMPONENTS = 'dash_html_components'; +const DASH_CORE_COMPONENTS = 'dash_core_components'; +const DASH_BOOTSTRAP_COMPONENTS = 'dash_bootstrap_components'; const LO_DASH_REACT_COMPONENTS = 'lo_dash_react_components'; -// TODO this ought to move to a more common place function createDashComponent (namespace, type, props) { return { namespace, type, props }; } -function determineSelectedNLPOptionsList (options) { - return options.filter(option => - (option.types?.highlight?.value === true) || - (option.types?.metric?.value === true) - ).map(option => option.id); +function determineSelectedNLPOptionsList (optionsObj) { + if (optionsObj === undefined | optionsObj === null) { return []; } + return Object.keys(optionsObj).filter(id => + optionsObj[id].highlight?.value === true || + optionsObj[id].metric?.value === true + ); } -// TODO this ought to move to a more common place like liblo.js +const checkForResponse = function (s, promptHash, options) { + if (!('documents' in s)) { return false; } + const selectedDocument = s.doc_id || Object.keys(s.documents || {})[0] || ''; + const student = s.documents[selectedDocument]; + if (!student) { return false; } + return options.every(option => { + const hashKey = `option_hash_${option}`; + if (hashKey in student) { + return promptHash === student[hashKey]; + } + return option in student; + }); +}; + async function hashObject (obj) { const jsonString = JSON.stringify(obj); const encoder = new TextEncoder(); const data = encoder.encode(jsonString); - // Check if crypto.subtle is available if (crypto && crypto.subtle) { try { const hashBuffer = await crypto.subtle.digest('SHA-256', data); @@ -40,7 +53,6 @@ async function hashObject (obj) { } } - // Fallback to the simple hash if crypto.subtle is unavailable return simpleHash(jsonString); } @@ -49,23 +61,14 @@ function simpleHash (str) { for (let i = 0; i < str.length; i++) { const char = str.charCodeAt(i); hash = (hash << 5) - hash + char; - hash |= 0; // Convert to 32-bit integer + hash |= 0; } return hash.toString(16); } -// TODO some of this will move to the communication protocol, but for now -// it lives here -// Currently the system only handles grabbing the first document available -// from the student and populates it under latest. We shouldn't hardcode -// anything like latest here and instead pull it from the communication protocol -function formatStudentData (student, selectedHighlights) { - // TODO this ought to come from the comm protocol - const document = Object.keys(student.documents)[0]; - - // TODO make sure the comm protocol is providing the doc id - const highlightBreakpoints = selectedHighlights.reduce((acc, option) => { - const offsets = student.documents[document][option.id]?.offsets || []; +function formatStudentData (document, selectedHighlights) { + const breakpoints = selectedHighlights.reduce((acc, option) => { + const offsets = document[option.id]?.offsets || []; if (offsets) { const modifiedOffsets = offsets.map(offset => { return { @@ -73,47 +76,290 @@ function formatStudentData (student, selectedHighlights) { tooltip: option.label, start: offset[0], offset: offset[1], - style: { backgroundColor: option.types.highlight.color } + style: { backgroundColor: option.highlight.color } }; }); acc = acc.concat(modifiedOffsets); } return acc; }, []); - // const availableDocuments = Object.keys(student.docs).map(id => ({ - // id, - // title: student.docs[id].title || id - // })); - // availableDocuments.push({ id: 'latest', title: 'Latest' }); - const availableDocuments = [{ id: 'latest', title: 'Latest' }] - // TODO currently we only populate the latest data of the student documents - // this is currently the muddiest part of the data flow and ought to be - // cleaned up. - return { - profile: student.documents[document].profile, - availableDocuments, - documents: { - latest: { - text: student.documents[document].text, - breakpoints: highlightBreakpoints, - optionHash: student.documents[document].option_hash - } - } - }; + const text = document.text; + return { text, breakpoints }; } function styleStudentTile (width, height) { return { width: `${(100 - width) / width}%`, height: `${height}px` }; } +function fetchSelectedItemsFromOptions (value, options, type) { + return options.reduce(function (filtered, option) { + if (value?.[option.id]?.[type]?.value) { + const selected = { ...option, ...value[option.id] }; + filtered.push(selected); + } + return filtered; + }, []); +} + +function createProcessTags (document, metrics) { + const children = metrics.map(metric => { + switch (metric.id) { + case 'time_on_task': + return createDashComponent( + DASH_BOOTSTRAP_COMPONENTS, 'Badge', + { children: `${rendertime2(document[metric.id])} on task`, className: 'me-1' } + ); + case 'status': + const color = document[metric.id] === 'active' ? 'success' : 'warning'; + return createDashComponent( + DASH_BOOTSTRAP_COMPONENTS, 'Badge', + { children: document[metric.id], color, className: 'me-1' } + ); + case 'paste_events': + case 'paste_bins': + case 'total_paste_chars': + case 'paste': + if (!window.WOPasteMetricHelpers?.createPasteMetricComponent) { return null; } + return window.WOPasteMetricHelpers.createPasteMetricComponent(document, metric.id); + case 'copy': + const copyCount = document?.copy_count ?? 0; + const copyColor = copyCount > 0 ? 'primary' : 'secondary' + return createDashComponent( + DASH_BOOTSTRAP_COMPONENTS, 'Badge', + { children: `${copyCount} copies`, color: copyColor } + ); + default: + break; + } + }).filter(Boolean); + return createDashComponent(DASH_HTML_COMPONENTS, 'Div', { children, className: 'sticky-top' }); +} + +function studentHasResponded (student, appliedHash) { + const documents = student.documents || {}; + const docKeys = Object.keys(documents); + + if (docKeys.length === 0) { return false; } + + for (const docKey of docKeys) { + const doc = documents[docKey]; + if (!doc) { return false; } + + const docHash = doc.option_hash_docs_with_nlp_annotations; + if (docHash !== appliedHash) { + return false; + } + } + return true; +} + +const ClassroomTextHighlightLoadingQueries = ['docs_with_nlp_annotations', 'time_on_task', 'activity', 'paste_metrics', 'copy_cut_metrics']; + +// ── Walkthrough step definitions ────────────────────────────────────── +const WALKTHROUGH_STEPS = [ + { + title: 'Welcome to the Classroom Text Highlighter!', + icon: 'fas fa-chalkboard-teacher', + body: [ + 'This dashboard lets you see every student\'s writing at a glance, with ', + 'color-coded highlights that surface things like grammar patterns, ', + 'argument strength, vocabulary usage, and more.', + '\n\n', + 'Let\'s walk through how to get started — it only takes a minute.' + ].join('') + }, + { + title: 'Step 1 — Choose What to Highlight', + icon: 'fas fa-highlighter', + body: [ + 'Click the "Choose What to Highlight" button in the toolbar at the top. ', + 'This opens a setup panel where you pick which analyses to run on ', + 'your students\' writing.\n\n', + 'You\'ll see two types of options:\n', + '• Highlights — color-coded annotations on the text (e.g. grammar types, ', + 'key claims)\n', + '• Metrics — summary badges shown on each tile (e.g. time on task, ', + 'active/inactive status)' + ].join('') + }, + { + title: 'Step 2 — Click Run to Load Results', + icon: 'fas fa-play-circle', + body: [ + 'After choosing your highlights and metrics, click the green "Run" button ', + 'at the bottom of the panel.\n\n', + 'The dashboard will fetch analysis for every student in your class. ', + 'A progress bar will appear while results load — this can take a minute ', + 'or two for larger classes.' + ].join('') + }, + { + title: 'Step 3 — Read and Explore Student Work', + icon: 'fas fa-search-plus', + body: [ + 'Each tile represents one student. Their writing is displayed with your ', + 'chosen highlights applied directly to the text.\n\n', + '• Click the expand icon (⤢) on any tile to open that student\'s writing ', + 'in a larger, more readable view.\n', + '• Use the "Highlight Key" button in the toolbar to see what each color means.\n', + '• Hover over any highlighted word to see which specific annotations apply to it.' + ].join('') + }, + { + title: 'You\'re Ready!', + icon: 'fas fa-check-circle', + body: [ + 'That\'s everything you need to get started.\n\n', + 'You can change your highlight selections at any time by clicking ', + '"Choose What to Highlight" again and pressing "Run."\n\n', + 'To revisit this guide later, click the ', + 'help button (?) in the toolbar.' + ].join('') + } +]; + +/** + * Build the walkthrough modal body for a given step index. + */ +function buildWalkthroughBody (step) { + const info = WALKTHROUGH_STEPS[step]; + const paragraphs = info.body.split('\n').filter(Boolean).map(line => + createDashComponent(DASH_HTML_COMPONENTS, 'P', { + children: line, + className: 'mb-2', + style: { whiteSpace: 'pre-wrap' } + }) + ); + return createDashComponent(DASH_HTML_COMPONENTS, 'Div', { + children: [ + createDashComponent(DASH_HTML_COMPONENTS, 'Div', { + children: createDashComponent(DASH_HTML_COMPONENTS, 'I', { + className: `${info.icon} fa-3x text-primary mb-3` + }), + className: 'text-center' + }), + ...paragraphs + ] + }); +} + +/** + * Build an empty-state placeholder when no student data is loaded yet. + */ +function buildEmptyState () { + return createDashComponent(DASH_HTML_COMPONENTS, 'Div', { + className: 'd-flex flex-column align-items-center justify-content-center text-center py-5 w-100', + style: { minHeight: '300px', color: '#6c757d' }, + children: [ + createDashComponent(DASH_HTML_COMPONENTS, 'I', { + className: 'fas fa-users fa-4x mb-3', + style: { opacity: 0.3 } + }), + createDashComponent(DASH_HTML_COMPONENTS, 'H4', { + children: 'No student data loaded yet', + className: 'mb-3' + }), + createDashComponent(DASH_HTML_COMPONENTS, 'P', { + children: 'To get started:', + className: 'mb-2 fw-bold' + }), + createDashComponent(DASH_HTML_COMPONENTS, 'Div', { + className: 'text-start', + style: { maxWidth: '400px' }, + children: [ + createDashComponent(DASH_HTML_COMPONENTS, 'P', { + className: 'mb-1', + children: '1. Click "Choose What to Highlight" in the toolbar above' + }), + createDashComponent(DASH_HTML_COMPONENTS, 'P', { + className: 'mb-1', + children: '2. Select the highlights and metrics you\'d like to see' + }), + createDashComponent(DASH_HTML_COMPONENTS, 'P', { + className: 'mb-1', + children: '3. Click the green "Run" button to load student data' + }) + ] + }), + createDashComponent(DASH_HTML_COMPONENTS, 'P', { + className: 'mt-3 text-muted small', + children: 'Click the ? button for a full walkthrough.' + }) + ] + }); +} + window.dash_clientside.wo_classroom_text_highlighter = { + // ── Walkthrough callbacks ──────────────────────────────────────────── + /** - * Send updated queries to the communication protocol. - * @param {object} wsReadyState LOConnection status object - * @param {string} urlHash query string from hash for determining course id - * @returns stringified json object that is sent to the communication protocl + * Navigate walkthrough steps. Triggered by next, back, done, or help button. + * Returns the new step index (0..N-1) or -1 when dismissed. */ - sendToLOConnection: async function (wsReadyState, urlHash, fullOptions) { + navigateWalkthrough: function (nextClicks, backClicks, doneClicks, skipClicks, helpClicks, currentStep) { + const triggered = window.dash_clientside.callback_context?.triggered_id; + if (!triggered) { return window.dash_clientside.no_update; } + + const totalSteps = WALKTHROUGH_STEPS.length; + + switch (triggered) { + case 'wo-classroom-text-highlighter-walkthrough-next': + return Math.min(currentStep + 1, totalSteps - 1); + case 'wo-classroom-text-highlighter-walkthrough-back': + return Math.max(currentStep - 1, 0); + case 'wo-classroom-text-highlighter-walkthrough-done': + case 'wo-classroom-text-highlighter-walkthrough-skip': + return -1; + case 'wo-classroom-text-highlighter-help': + return 0; + default: + return window.dash_clientside.no_update; + } + }, + + /** + * Render the walkthrough modal based on the current step. + * Returns [title, body, backDisabled, nextStyle, doneStyle, stepCounter, isOpen]. + */ + renderWalkthroughStep: function (step) { + const totalSteps = WALKTHROUGH_STEPS.length; + const isOpen = step >= 0 && step < totalSteps; + + if (!isOpen) { + return [ + '', '', true, + { display: 'inline-block' }, + { display: 'none' }, + '', + false + ]; + } + + const info = WALKTHROUGH_STEPS[step]; + const body = buildWalkthroughBody(step); + const isFirst = step === 0; + const isLast = step === totalSteps - 1; + const counter = `${step + 1} of ${totalSteps}`; + + return [ + info.title, + body, + isFirst, + { display: isLast ? 'none' : 'inline-block' }, + { display: isLast ? 'inline-block' : 'none' }, + counter, + true + ]; + }, + + computeAppliedHash: async function (appliedValue) { + if (!appliedValue) { return ''; } + const h = await hashObject(appliedValue); + // console.log('[computeAppliedHash] computed hash:', h.substring(0, 12) + '...'); + return h; + }, + + sendToLOConnection: function (wsReadyState, urlHash, docKwargs, appliedHash, nlpValue) { if (wsReadyState === undefined) { return window.dash_clientside.no_update; } @@ -122,28 +368,45 @@ window.dash_clientside.wo_classroom_text_highlighter = { const decodedParams = decode_string_dict(urlHash.slice(1)); if (!decodedParams.course_id) { return window.dash_clientside.no_update; } - const optionsHash = await hashObject(fullOptions); - const nlpOptions = determineSelectedNLPOptionsList(fullOptions); + if (!appliedHash) { + // console.log('[sendToLOConnection] No hash yet, skipping'); + return window.dash_clientside.no_update; + } + + const nlpOptions = determineSelectedNLPOptionsList(nlpValue); decodedParams.nlp_options = nlpOptions; - decodedParams.option_hash = optionsHash; + decodedParams.option_hash = appliedHash; + decodedParams.doc_source = docKwargs.src; + decodedParams.doc_source_kwargs = docKwargs.kwargs; + decodedParams.rerun_dag_delay = 45; const outgoingMessage = { wo_classroom_text_highlighter_query: { execution_dag: 'writing_observer', - // TODO add `doc_list` here when available - target_exports: ['docs_with_nlp_annotations'], + target_exports: ['docs_with_nlp_annotations', 'document_sources', 'document_list', 'time_on_task', 'activity', 'paste_metrics', 'copy_cut_metrics'], kwargs: decodedParams } }; + // console.log('[sendToLOConnection] Sending with hash:', appliedHash.substring(0, 12) + '...'); return JSON.stringify(outgoingMessage); } return window.dash_clientside.no_update; }, - toggleOptions: function (clicks, isOpen) { + toggleOptionsModal: function (clicks, isOpen) { + if (!clicks) { return window.dash_clientside.no_update; } + return !isOpen; + }, + + applyOptionsAndCloseModal: function (clicks, stagedValue, docKwargs) { if (!clicks) { - return window.dash_clientside.no_update; + return [ + window.dash_clientside.no_update, + window.dash_clientside.no_update, + window.dash_clientside.no_update + ]; } - return !isOpen; + // console.log('[applyOptionsAndCloseModal] Applying staged options and doc source'); + return [stagedValue, docKwargs, false]; }, adjustTileSize: function (width, height, studentIds) { @@ -156,50 +419,81 @@ window.dash_clientside.wo_classroom_text_highlighter = { return Array(total).fill(show ? 'd-none' : ''); }, - updateCurrentOptionHash: async function (options, ids) { - const optionHash = await hashObject(options); + updateCurrentOptionHash: function (appliedHash, ids) { + if (!appliedHash) { + return window.dash_clientside.no_update; + } const total = ids.length; - return Array(total).fill(optionHash); + // console.log('[updateCurrentOptionHash] Broadcasting hash to', total, 'tiles:', appliedHash.substring(0, 12) + '...'); + return Array(total).fill(appliedHash); }, - /** - * Build the student UI components based on the stored websocket data - * @param {*} wsStorageData information stored in the websocket store - * @returns Dash object to be displayed on page - */ - populateOutput: async function (wsStorageData, options, width, height, showHeader) { - console.log('wsStorageData', wsStorageData); - if (!wsStorageData) { - return 'No students'; + populateOutput: function (wsStorageData, value, width, height, showName, options, optionHash) { + if (!wsStorageData?.students) { + return buildEmptyState(); } + + const students = wsStorageData.students; + if (Object.keys(students).length === 0) { + return buildEmptyState(); + } + let output = []; - const selectedHighlights = options.filter(option => option.types?.highlight?.value); - // TODO do something with the selected metrics/progress bars/etc. - // currently due to a HACK with how we pass data to the `childComponent` - // we are only able to have a single child and we expect it to be the - // `WOAnnotatedText` component. - const selectedMetrics = options.filter(option => option.types?.metric?.value); + const selectedHighlights = fetchSelectedItemsFromOptions(value, options, 'highlight'); + const selectedMetrics = fetchSelectedItemsFromOptions(value, options, 'metric'); - const optionHash = await hashObject(options); + // console.log('[populateOutput] Using hash:', optionHash ? optionHash.substring(0, 12) + '...' : 'NONE'); - for (const student in wsStorageData) { + for (const student in students) { + const selectedDocument = students[student].doc_id || Object.keys(students[student].documents || {})[0] || ''; + const documentTitle = students[student]?.availableDocuments?.[selectedDocument]?.title ?? selectedDocument ?? ''; + const studentTileChild = createDashComponent( + DASH_HTML_COMPONENTS, 'Div', + { + children: [ + createProcessTags({ ...students[student].documents[selectedDocument] }, selectedMetrics), + createDashComponent( + LO_DASH_REACT_COMPONENTS, 'WOAnnotatedText', + formatStudentData({ ...students[student].documents[selectedDocument] }, selectedHighlights) + ) + ] + } + ); const studentTile = createDashComponent( LO_DASH_REACT_COMPONENTS, 'WOStudentTextTile', { - showHeader, - style: styleStudentTile(width, height), - studentInfo: formatStudentData(wsStorageData[student], selectedHighlights), - // TODO the selectedDocument ought to remain the same upon updating the student object - // i.e. it should be pulled from the current client student state - selectedDocument: 'latest', - childComponent: createDashComponent(LO_DASH_REACT_COMPONENTS, 'WOAnnotatedText', {}), + showName, + profile: students[student].documents[selectedDocument]?.profile || {}, + selectedDocument, + documentTitle, + childComponent: studentTileChild, id: { type: 'WOStudentTextTile', index: student }, + currentStudentHash: students[student].documents[selectedDocument]?.option_hash_docs_with_nlp_annotations, currentOptionHash: optionHash, - className: 'mb-2' + className: 'h-100', + additionalButtons: createDashComponent( + DASH_BOOTSTRAP_COMPONENTS, 'Button', + { + id: { type: 'WOStudentTileExpand', index: student }, + children: createDashComponent(DASH_HTML_COMPONENTS, 'I', { className: 'fas fa-expand' }), + color: 'transparent' + } + ) + } + ); + const tileWrapper = createDashComponent( + DASH_HTML_COMPONENTS, 'Div', + { + className: 'mb-2', + children: [ + studentTile, + ], + id: { type: 'WOStudentTile', index: student }, + style: styleStudentTile(width, height) } ); - output = output.concat(studentTile); + output = output.concat(tileWrapper); } return output; }, @@ -228,5 +522,219 @@ window.dash_clientside.wo_classroom_text_highlighter = { const itemsClicked = clicks.some(item => item !== undefined); if (!preset | !itemsClicked) { return window.dash_clientside.no_update; } return data[preset]; - } + }, + + updateLoadingInformation: function (wsStorageData, appliedHash) { + const noLoading = [false, 0, '']; + + if (!wsStorageData?.students || !appliedHash) { + return noLoading; + } + + const students = wsStorageData.students; + const totalStudents = Object.keys(students).length; + + if (totalStudents === 0) { + return noLoading; + } + + let returnedResponses = 0; + + for (const studentId of Object.keys(students)) { + const student = students[studentId]; + if (checkForResponse(student, appliedHash, ClassroomTextHighlightLoadingQueries)) { + returnedResponses++; + } + } + + // console.log(`[updateLoadingInformation] ${returnedResponses}/${totalStudents} responded for hash=${appliedHash.substring(0, 12)}...`); + + if (totalStudents === returnedResponses) { + return noLoading; + } + + const loadingProgress = returnedResponses / totalStudents + 0.1; + const outputText = `Fetching responses from server. This will take a few minutes. (${returnedResponses}/${totalStudents} received)`; + return [true, loadingProgress, outputText]; + }, + + /** + * When a student tile expand button is clicked, record which student + * was selected and open the modal. + * + * Returns [selectedStudentId, isModalOpen, showIdentity]. + */ + expandCurrentStudent: function (clicks, ids, isModalOpen, currentStudentId, globalShowName) { + const triggeredItem = window.dash_clientside.callback_context?.triggered_id ?? null; + if (!triggeredItem) { return window.dash_clientside.no_update; } + + // Only act on actual expand button clicks + if (triggeredItem?.type !== 'WOStudentTileExpand') { + return window.dash_clientside.no_update; + } + + // Make sure something was actually clicked (not just initial callback fire) + const hasActualClick = clicks && clicks.some(c => c !== undefined && c !== null && c > 0); + if (!hasActualClick) { return window.dash_clientside.no_update; } + + const id = triggeredItem?.index; + const index = ids.findIndex(item => item.index === id); + if (index === -1) { return window.dash_clientside.no_update; } + + const showIdentity = globalShowName !== undefined ? globalShowName : true; + + return [id, true, showIdentity]; + }, + + /** + * Reactively render the expanded student modal content from live + * websocket data. Only builds content when the modal is actually open + * and a student is selected. + * + * Returns [studentName, docTitle, childContent]. + */ + renderExpandedStudent: function (wsStorageData, selectedStudentId, isModalOpen, value, options, optionHash) { + // Don't do anything if the modal isn't open + if (!isModalOpen) { + return window.dash_clientside.no_update; + } + + if (!selectedStudentId || !wsStorageData?.students) { + return [ + '', + '', + createDashComponent(DASH_HTML_COMPONENTS, 'Div', { + children: 'No student selected.', + className: 'text-muted text-center py-5' + }) + ]; + } + + const student = wsStorageData.students[selectedStudentId]; + if (!student) { + return [ + 'Student', + '', + createDashComponent(DASH_HTML_COMPONENTS, 'Div', { + children: 'Student data not available.', + className: 'text-muted text-center py-5' + }) + ]; + } + + const selectedDocument = student.doc_id || Object.keys(student.documents || {})[0] || ''; + const documentName = student?.availableDocuments?.[selectedDocument]?.title ?? selectedDocument ?? ''; + const doc = student.documents?.[selectedDocument]; + + if (!doc) { + return [ + 'Student', + documentName, + createDashComponent(DASH_HTML_COMPONENTS, 'Div', { + children: 'Document data not available yet.', + className: 'text-muted text-center py-5' + }) + ]; + } + + const names = doc.profile?.name || {}; + const studentName = [names.given_name, names.family_name] + .filter(Boolean) + .join(' ') || 'Student'; + + const selectedHighlights = fetchSelectedItemsFromOptions(value, options, 'highlight'); + const selectedMetrics = fetchSelectedItemsFromOptions(value, options, 'metric'); + + const childContent = createDashComponent( + DASH_HTML_COMPONENTS, 'Div', + { + children: [ + createProcessTags({ ...doc }, selectedMetrics), + createDashComponent( + LO_DASH_REACT_COMPONENTS, 'WOAnnotatedText', + formatStudentData({ ...doc }, selectedHighlights) + ) + ] + } + ); + + return [studentName, documentName, childContent]; + }, + + toggleExpandedStudentIdentity: function (clicks, currentValue) { + if (!clicks) { return window.dash_clientside.no_update; } + return !currentValue; + }, + + renderExpandedStudentIdentity: function (showIdentity) { + const visible = { }; + const hidden = { display: 'none' }; + + const titleStyle = showIdentity ? visible : hidden; + const docTitleStyle = showIdentity ? visible : hidden; + const iconClass = showIdentity ? 'fas fa-eye' : 'fas fa-eye-slash'; + + return [titleStyle, docTitleStyle, iconClass]; + }, + + updateLegend: function (value, options) { + const selectedHighlights = fetchSelectedItemsFromOptions(value, options, 'highlight'); + const selectedMetrics = fetchSelectedItemsFromOptions(value, options, 'metric'); + const total = selectedHighlights.length + selectedMetrics.length; + + if (selectedHighlights.length === 0) { + return [ + 'No highlights selected yet. Click "Choose What to Highlight" in the toolbar, select your options, then click "Run."', + total + ]; + } + let output = selectedHighlights.map(highlight => { + const color = highlight.highlight.color; + const legendItem = createDashComponent( + DASH_HTML_COMPONENTS, 'Div', + { + children: [ + createDashComponent( + DASH_HTML_COMPONENTS, 'Span', + { style: { width: '0.875rem', height: '0.875rem', backgroundColor: color, display: 'inline-block', marginRight: '0.5rem' } } + ), + highlight.label + ] + } + ); + return legendItem; + }); + output = output.concat('Note: words in the student text may have multiple highlights. Hover over a word for the full list of which options apply.'); + return [output, total]; + }, + + /** + * Determine the initial walkthrough step based on whether the user + * has previously completed/skipped it (persisted in localStorage). + * Also writes back to localStorage when the walkthrough is dismissed. + * + * Returns [walkthroughStep, seenFlag]. + */ + initWalkthroughFromStorage: function (step, hasSeenWalkthrough) { + // On initial load (no trigger), check localStorage flag + const triggered = window.dash_clientside.callback_context?.triggered_id; + + if (!triggered) { + // Initial load: if they've seen it before, keep it closed + if (hasSeenWalkthrough) { + return [-1, true]; + } + // First visit: open at step 0 + return [0, false]; + } + + // Step changed (user navigated/dismissed/reopened) + if (step === -1) { + // User dismissed or completed — mark as seen + return [-1, true]; + } + + // User reopened via help button or is navigating + return [step, hasSeenWalkthrough]; + }, }; diff --git a/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/dash_dashboard.py b/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/dash_dashboard.py index a2e51808e..a7badda57 100644 --- a/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/dash_dashboard.py +++ b/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/dash_dashboard.py @@ -18,28 +18,231 @@ _websocket = f'{_prefix}-websocket' _output = f'{_prefix}-output' +# loading message/bar DOM ids +_loading_prefix = f'{_prefix}-loading' +_loading_collapse = f'{_loading_prefix}-collapse' +_loading_progress = f'{_loading_prefix}-progress-bar' +_loading_information = f'{_loading_prefix}-information-text' + +loading_component = dbc.Collapse([ + html.Div(id=_loading_information), + dbc.Progress(id=_loading_progress, animated=True, striped=True, max=1.1) +], id=_loading_collapse, is_open=False) + # Option components _options_toggle = f'{_prefix}-options-toggle' -_options_collapse = f'{_prefix}-options-collapse' -# TODO abstract these into a more generic options component +_options_toggle_count = f'{_prefix}-options-toggle-count' +_options_modal = f'{_prefix}-options-modal' +_options_run = f'{_prefix}-options-run' _options_prefix = f'{_prefix}-options' +_options_doc_src = f'{_options_prefix}-document-source' _options_width = f'{_options_prefix}-width' _options_height = f'{_options_prefix}-height' _options_hide_header = f'{_options_prefix}-hide-names' _options_text_information = f'{_options_prefix}-text-information' +_options_text_information_staged = f'{_options_text_information}-staged' + +# Store that holds the hash of the currently applied options. +_applied_option_hash = f'{_options_prefix}-applied-hash' +_applied_doc_src = f'{_options_prefix}-applied-doc-src' + +# ── Walkthrough DOM IDs ──────────────────────────────────────────────── +_walkthrough_prefix = f'{_prefix}-walkthrough' +_walkthrough_store = f'{_walkthrough_prefix}-step' +_walkthrough_modal = f'{_walkthrough_prefix}-modal' +_walkthrough_title = f'{_walkthrough_prefix}-title' +_walkthrough_body = f'{_walkthrough_prefix}-body' +_walkthrough_counter = f'{_walkthrough_prefix}-counter' +_walkthrough_back = f'{_walkthrough_prefix}-back' +_walkthrough_next = f'{_walkthrough_prefix}-next' +_walkthrough_done = f'{_walkthrough_prefix}-done' +_walkthrough_skip = f'{_walkthrough_prefix}-skip' +_walkthrough_seen_store = f'{_walkthrough_prefix}-seen' +_help_button = f'{_prefix}-help' + +# ── Walkthrough persistent store (localStorage) ─────────────────────── +walkthrough_seen_store = dcc.Store( + id=_walkthrough_seen_store, + storage_type='local', + data=False +) + +# Store holds current walkthrough step (0-based, -1 = dismissed). +# Initialised to 0 so the walkthrough opens on first page load. +walkthrough_store = dcc.Store(id=_walkthrough_store, data=0) + +walkthrough_modal = dbc.Modal( + [ + dbc.ModalHeader( + dbc.ModalTitle(id=_walkthrough_title), + close_button=False, + ), + dbc.ModalBody( + html.Div(id=_walkthrough_body), + style={'minHeight': '200px'}, + ), + dbc.ModalFooter( + html.Div([ + html.Small(id=_walkthrough_counter, className='text-muted me-auto'), + dbc.Button( + [html.I(className='fas fa-forward me-1'), 'Skip intro'], + id=_walkthrough_skip, + color='link', + size='sm', + className='me-auto text-muted', + ), + dbc.Button( + [html.I(className='fas fa-arrow-left me-1'), 'Back'], + id=_walkthrough_back, + color='secondary', + outline=True, + size='sm', + className='me-2', + ), + dbc.Button( + ['Next', html.I(className='fas fa-arrow-right ms-1')], + id=_walkthrough_next, + color='primary', + size='sm', + className='me-2', + ), + dbc.Button( + [html.I(className='fas fa-check me-1'), 'Get Started!'], + id=_walkthrough_done, + color='success', + size='sm', + ), + ], className='d-flex align-items-center w-100'), + ), + ], + id=_walkthrough_modal, + is_open=False, # <-- start closed; callback will open if needed + centered=True, + backdrop='static', + keyboard=False, + size='lg', +) -options_component = [ - html.H4('View Options'), - dbc.Label('Students per row'), - dbc.Input(type='number', min=1, max=10, value=3, step=1, id=_options_width), - dbc.Label('Height of student tile'), - dcc.Slider(min=100, max=800, marks=None, value=500, id=_options_height), - dbc.Label('Student name headers'), - dbc.Switch(value=True, id=_options_hide_header, label='Show/Hide'), - html.H4('Highlight Options'), - wo_classroom_text_highlighter.preset_component.create_layout(), - lodrc.WOSettings(id=_options_text_information, options=wo_classroom_text_highlighter.options.OPTIONS, className='table table-striped align-middle') -] +# ── Options Modal ────────────────────────────────────────────────────── +options_modal = dbc.Modal([ + dbc.ModalHeader(dbc.ModalTitle('Dashboard Setup'), close_button=True), + dbc.ModalBody([ + lodrc.LODocumentSourceSelectorAIO(aio_id=_options_doc_src), + dbc.Card([ + dbc.CardHeader('Display Settings'), + dbc.CardBody([ + dbc.Label('Students per row'), + dbc.Input(type='number', min=1, max=10, value=2, step=1, id=_options_width), + dbc.Label('Height of student tile'), + dcc.Slider(min=100, max=800, marks=None, value=500, id=_options_height), + dbc.Label('Student profile'), + dbc.Switch(value=True, id=_options_hide_header, label='Show/Hide'), + ]) + ], className='mb-3'), + dbc.Card([ + dbc.CardHeader('Highlights & Metrics'), + dbc.CardBody([ + html.P( + 'Select which analyses to apply to student writing. ' + 'Highlights add color-coded annotations to the text; ' + 'metrics add summary badges to each student tile.', + className='text-muted small mb-3', + ), + wo_classroom_text_highlighter.preset_component.create_layout(), + lodrc.WOSettings( + id=_options_text_information_staged, + options=wo_classroom_text_highlighter.options.OPTIONS, + value=wo_classroom_text_highlighter.options.DEFAULT_VALUE, + className='table table-striped align-middle' + ) + ]) + ]) + ], style={'overflowY': 'auto'}), + dbc.ModalFooter( + dbc.Button( + [html.I(className='fas fa-play me-2'), 'Run'], + id=_options_run, + color='success', + size='lg', + className='w-100' + ) + ), +], id=_options_modal, is_open=False, size='lg', scrollable=True, + style={'maxHeight': '100vh'}) + +# Hidden store that holds the "applied" text information value. +applied_options_store = dcc.Store( + id=_options_text_information, + data=wo_classroom_text_highlighter.options.DEFAULT_VALUE +) + +# Hidden store for the pre-computed hash of the applied options. +applied_option_hash_store = dcc.Store( + id=_applied_option_hash, + data='' +) +applied_doc_src_store = dcc.Store( + id=_applied_doc_src, + data={} +) + +# Legend +_legend = f'{_prefix}-legend' +_legend_button = f'{_legend}-button' +_legend_children = f'{_legend}-children' + +# Expanded student modal +_expanded_student = f'{_prefix}-expanded-student' +_expanded_student_modal = f'{_expanded_student}-modal' +_expanded_student_title = f'{_expanded_student}-title' +_expanded_student_child = f'{_expanded_student}-child' +_expanded_student_show_identity = f'{_expanded_student}-show-identity' +_expanded_student_show_identity_toggle = f'{_expanded_student}-show-identity-toggle' +_expanded_student_doc_title = f'{_expanded_student}-doc-title' +_expanded_student_id = f'{_expanded_student}-id' + +expanded_student_id_store = dcc.Store( + id=_expanded_student_id, + data=None +) + +expanded_student_modal = dbc.Modal( + [ + dbc.ModalHeader([ + dbc.ModalTitle([ + html.Div(id=_expanded_student_title), + html.Small( + id=_expanded_student_doc_title, + className='text-muted ms-2', + style={'fontSize': '0.75em'} + ), + ], className='d-flex align-items-baseline'), + dbc.Button( + html.I(className='fas fa-eye', id=f'{_expanded_student_show_identity_toggle}-icon'), + id=_expanded_student_show_identity_toggle, + color='link', + size='sm', + className='ms-2 text-secondary', + title='Show/hide student name and document title', + ), + ], close_button=True, className='d-flex align-items-center'), + dbc.ModalBody( + html.Div(id=_expanded_student_child), + style={'overflowY': 'auto'}, + ), + ], + id=_expanded_student_modal, + is_open=False, + size='xl', + centered=True, + scrollable=True, +) + +# Store for the modal-local identity visibility +expanded_student_show_identity_store = dcc.Store( + id=_expanded_student_show_identity, + data=True +) # Alert Component _alert = f'{_prefix}-alert' @@ -51,87 +254,226 @@ html.Div(dash_renderjson.DashRenderjson(id=_alert_error_dump), className='' if DEBUG_FLAG else 'd-none') ], id=_alert, color='danger', is_open=False) +# Panels layout ID +_panels_layout = f'{_prefix}-panels-layout' + +# ── Settings toolbar ─────────────────────────────────────────────────── +input_group = dbc.InputGroup([ + dbc.InputGroupText(lodrc.LOConnectionAIO(aio_id=_websocket)), + dbc.Button([ + html.I(className='fas fa-highlighter me-1'), + 'Choose What to Highlight (', + html.Span('0', id=_options_toggle_count), + ')' + ], id=_options_toggle, color='primary'), + dbc.Button( + [html.I(className='fas fa-palette me-1'), 'Highlight Key'], + id=_legend_button, color='secondary'), + dbc.Popover( + id=_legend_children, target=_legend_button, + trigger='focus', body=True, placement='bottom'), + dbc.Button( + html.I(className='fas fa-question-circle'), + id=_help_button, + color='primary', + title='Reopen the walkthrough guide', + ), + lodrc.ProfileSidebarAIO(class_name='rounded-0 rounded-end', color='secondary'), +], class_name='align-items-center') + def layout(): - ''' - Function to define the page's layout. - ''' page_layout = html.Div([ - html.H1('Writing Observer - Classroom Text Highlighter'), + html.H1('Writing Observer — Classroom Text Highlighter'), alert_component, - dbc.InputGroup([ - dbc.InputGroupText(lodrc.LOConnectionAIO(aio_id=_websocket)), - dbc.Button([ - html.I(className='fas fa-cog me-1'), - 'Highlight Options' - ], id=_options_toggle), - lodrc.ProfileSidebarAIO(class_name='rounded-0 rounded-end', color='secondary'), - ], class_name='sticky-top mb-1'), - dbc.Offcanvas(options_component, id=_options_collapse, scrollable=True, title='Settings'), - html.Div(id=_output, className='d-flex justify-content-between flex-wrap') + applied_options_store, + applied_option_hash_store, + applied_doc_src_store, + expanded_student_show_identity_store, + expanded_student_id_store, + walkthrough_store, + walkthrough_seen_store, + walkthrough_modal, + options_modal, + expanded_student_modal, + html.Div([ + html.Div(input_group, className='d-flex me-2'), + html.Div(loading_component, className='d-flex') + ], className='d-flex sticky-top pb-1 bg-light'), + lodrc.LOPanelLayout( + html.Div(id=_output, className='d-flex justify-content-between flex-wrap'), + panels=[], + id=_panels_layout, shown=[] + ), ]) return page_layout +# ══════════════════════════════════════════════════════════════════════ +# Walkthrough callbacks +# ══════════════════════════════════════════════════════════════════════ + +# On load or when step changes, sync with localStorage to decide +# whether to show the walkthrough. +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='initWalkthroughFromStorage'), + Output(_walkthrough_store, 'data', allow_duplicate=True), + Output(_walkthrough_seen_store, 'data'), + Input(_walkthrough_store, 'data'), + State(_walkthrough_seen_store, 'data'), + prevent_initial_call='initial_duplicate', +) + +# Navigate between walkthrough steps (next / back / done / skip / help reopen) +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='navigateWalkthrough'), + Output(_walkthrough_store, 'data'), + Input(_walkthrough_next, 'n_clicks'), + Input(_walkthrough_back, 'n_clicks'), + Input(_walkthrough_done, 'n_clicks'), + Input(_walkthrough_skip, 'n_clicks'), + Input(_help_button, 'n_clicks'), + State(_walkthrough_store, 'data'), + prevent_initial_call=True, +) + +# Render the correct step content in the walkthrough modal (unchanged) +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='renderWalkthroughStep'), + Output(_walkthrough_title, 'children'), + Output(_walkthrough_body, 'children'), + Output(_walkthrough_back, 'disabled'), + Output(_walkthrough_next, 'style'), + Output(_walkthrough_done, 'style'), + Output(_walkthrough_counter, 'children'), + Output(_walkthrough_modal, 'is_open'), + Input(_walkthrough_store, 'data'), +) + # Send the initial state based on the url hash to LO. -# If this is not included, nothing will be returned from -# the communication protocol. clientside_callback( ClientsideFunction(namespace=_namespace, function_name='sendToLOConnection'), Output(lodrc.LOConnectionAIO.ids.websocket(_websocket), 'send'), - Input(lodrc.LOConnectionAIO.ids.websocket(_websocket), 'state'), # used for initial setup + Input(lodrc.LOConnectionAIO.ids.websocket(_websocket), 'state'), Input('_pages_location', 'hash'), - Input(_options_text_information, 'options') + Input(_applied_doc_src, 'data'), + Input(_applied_option_hash, 'data'), + State(_options_text_information, 'data') +) + +# When the applied options store changes, compute and store the hash. +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='computeAppliedHash'), + Output(_applied_option_hash, 'data'), + Input(_options_text_information, 'data'), +) + +# When Run is clicked, apply staged options, snapshot doc source, and close modal. +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='applyOptionsAndCloseModal'), + Output(_options_text_information, 'data'), + Output(_applied_doc_src, 'data'), + Output(_options_modal, 'is_open', allow_duplicate=True), + Input(_options_run, 'n_clicks'), + State(_options_text_information_staged, 'value'), + State(lodrc.LODocumentSourceSelectorAIO.ids.kwargs_store(_options_doc_src), 'data'), + prevent_initial_call=True ) -# Build the UI based on what we've received from the -# communicaton protocol +# Build the UI clientside_callback( ClientsideFunction(namespace=_namespace, function_name='populateOutput'), Output(_output, 'children'), Input(lodrc.LOConnectionAIO.ids.ws_store(_websocket), 'data'), - Input(_options_text_information, 'options'), + Input(_options_text_information, 'data'), Input(_options_width, 'value'), Input(_options_height, 'value'), Input(_options_hide_header, 'value'), + State(_options_text_information_staged, 'options'), + State(_applied_option_hash, 'data'), ) -# Toggle if the options collapse is open or not +# Toggle the options modal open clientside_callback( - ClientsideFunction(namespace=_namespace, function_name='toggleOptions'), - Output(_options_collapse, 'is_open'), + ClientsideFunction(namespace=_namespace, function_name='toggleOptionsModal'), + Output(_options_modal, 'is_open'), Input(_options_toggle, 'n_clicks'), - State(_options_collapse, 'is_open') + State(_options_modal, 'is_open'), + prevent_initial_call=True ) # Adjust student tile size clientside_callback( ClientsideFunction(namespace=_namespace, function_name='adjustTileSize'), - Output({'type': 'WOStudentTextTile', 'index': ALL}, 'style'), + Output({'type': 'WOStudentTile', 'index': ALL}, 'style'), Input(_options_width, 'value'), Input(_options_height, 'value'), - State({'type': 'WOStudentTextTile', 'index': ALL}, 'id'), + State({'type': 'WOStudentTile', 'index': ALL}, 'id'), ) # Handle showing or hiding the student tile header clientside_callback( ClientsideFunction(namespace=_namespace, function_name='showHideHeader'), - Output({'type': 'WOStudentTextTile', 'index': ALL}, 'showHeader'), + Output({'type': 'WOStudentTextTile', 'index': ALL}, 'showName'), Input(_options_hide_header, 'value'), State({'type': 'WOStudentTextTile', 'index': ALL}, 'id'), ) -# When options change, update the current option hash for all students. -# When the option hash is different from the students internal option hash -# a loading class is applied to each student tile. +# When applied hash changes, push to all existing student tiles. clientside_callback( ClientsideFunction(namespace=_namespace, function_name='updateCurrentOptionHash'), Output({'type': 'WOStudentTextTile', 'index': ALL}, 'currentOptionHash'), - Input(_options_text_information, 'options'), + Input(_applied_option_hash, 'data'), State({'type': 'WOStudentTextTile', 'index': ALL}, 'id'), ) -# Update the alert component with any errors that come through +# ── Expand: record which student was clicked, open modal ────────────── +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='expandCurrentStudent'), + Output(_expanded_student_id, 'data'), + Output(_expanded_student_modal, 'is_open'), + Output(_expanded_student_show_identity, 'data'), + Input({'type': 'WOStudentTileExpand', 'index': ALL}, 'n_clicks'), + State({'type': 'WOStudentTile', 'index': ALL}, 'id'), + State(_expanded_student_modal, 'is_open'), + State(_expanded_student_id, 'data'), + State(_options_hide_header, 'value'), + prevent_initial_call=True +) + +# ── Expand: reactively render content from live websocket data ──────── +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='renderExpandedStudent'), + Output(_expanded_student_title, 'children'), + Output(_expanded_student_doc_title, 'children'), + Output(_expanded_student_child, 'children'), + Input(lodrc.LOConnectionAIO.ids.ws_store(_websocket), 'data'), + Input(_expanded_student_id, 'data'), + State(_expanded_student_modal, 'is_open'), + State(_options_text_information, 'data'), + State(_options_text_information_staged, 'options'), + State(_applied_option_hash, 'data'), +) + +# Toggle identity visibility within the expanded modal +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='toggleExpandedStudentIdentity'), + Output(_expanded_student_show_identity, 'data', allow_duplicate=True), + Input(_expanded_student_show_identity_toggle, 'n_clicks'), + State(_expanded_student_show_identity, 'data'), + prevent_initial_call=True +) + +# Render identity visibility in the expanded modal (hide/show name, doc title, icon) +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='renderExpandedStudentIdentity'), + Output(_expanded_student_title, 'style'), + Output(_expanded_student_doc_title, 'style'), + Output(f'{_expanded_student_show_identity_toggle}-icon', 'className'), + Input(_expanded_student_show_identity, 'data'), +) + +# Update the alert component with any errors clientside_callback( ClientsideFunction(namespace=_namespace, function_name='updateAlertWithError'), Output(_alert_text, 'children'), @@ -146,15 +488,34 @@ def layout(): Output(wo_classroom_text_highlighter.preset_component._store, 'data'), Input(wo_classroom_text_highlighter.preset_component._add_button, 'n_clicks'), State(wo_classroom_text_highlighter.preset_component._add_input, 'value'), - State(_options_text_information, 'options'), + State(_options_text_information_staged, 'value'), State(wo_classroom_text_highlighter.preset_component._store, 'data') ) -# Apply clicked preset +# Apply clicked preset to the staged settings clientside_callback( ClientsideFunction(namespace=_namespace, function_name='applyPreset'), - Output(_options_text_information, 'options'), + Output(_options_text_information_staged, 'value'), Input({'type': wo_classroom_text_highlighter.preset_component._set_item, 'index': ALL}, 'n_clicks'), State(wo_classroom_text_highlighter.preset_component._store, 'data'), prevent_initial_call=True ) + +# Update loading information +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='updateLoadingInformation'), + Output(_loading_collapse, 'is_open'), + Output(_loading_progress, 'value'), + Output(_loading_information, 'children'), + Input(lodrc.LOConnectionAIO.ids.ws_store(_websocket), 'data'), + Input(_applied_option_hash, 'data') +) + +# Update legend +clientside_callback( + ClientsideFunction(namespace=_namespace, function_name='updateLegend'), + Output(_legend_children, 'children'), + Output(_options_toggle_count, 'children'), + Input(_options_text_information, 'data'), + State(_options_text_information_staged, 'options') +) diff --git a/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/options.py b/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/options.py index 6b29036f1..eefe5a52f 100644 --- a/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/options.py +++ b/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/options.py @@ -1,18 +1,31 @@ -import copy import writing_observer.nlp_indicators +import writing_observer.languagetool_features -parents = [] - -OPTIONS = [ - {'id': indicator['id'], 'types': {'highlight': {}, 'metric': {}}, 'label': indicator['name'], 'parent': ''} +PROCESS_OPTIONS = [ + {'id': 'process_information', 'label': 'Process Information', 'parent': ''}, + {'id': 'time_on_task', 'label': 'Time on Task', 'types': ['metric'], 'parent': 'process_information'}, + {'id': 'status', 'label': 'Status', 'types': ['metric'], 'parent': 'process_information'}, + {'id': 'paste_events', 'label': '# Paste Events', 'types': ['metric'], 'parent': 'process_information'}, + {'id': 'paste_bins', 'label': 'Binned Paste Events', 'types': ['metric'], 'parent': 'process_information'}, + {'id': 'total_paste_chars', 'label': 'Total Characters Pasted', 'types': ['metric'], 'parent': 'process_information'}, + {'id': 'copy', 'label': 'Copy', 'types': ['metric'], 'parent': 'process_information'} +] +OPTIONS = PROCESS_OPTIONS + [ + {'id': indicator['id'], 'types': ['highlight'], 'label': indicator['name'], 'parent': indicator['category']} for indicator in writing_observer.nlp_indicators.INDICATOR_JSONS ] +for category, label in writing_observer.nlp_indicators.INDICATOR_CATEGORIES.items(): + OPTIONS.append({'id': category, 'label': label, 'parent': 'text_information'}) +OPTIONS.append({'id': 'text_information', 'label': 'Text Information', 'parent': ''}) -# TODO currently each preset is the full list of options with specific -# values being set to true/including a color. We ought to just store -# the true values and their respective colors. -# Though if we keep the entire list in the preset, we can choose colors -# for non-true values before they are selected. +DEFAULT_VALUE = { + 'time_on_task': {'metric': {'value': True}}, + 'status': {'metric': {'value': True}}, + 'paste_events': {'metric': {'value': True}}, + 'paste_bins': {'metric': {'value': True}}, + 'total_paste_chars': {'metric': {'value': True}}, + 'copy': {'metric': {'value': True}} +} # Set of colors to use for highlighting with presets HIGHLIGHTING_COLORS = [ @@ -55,13 +68,10 @@ def add_preset_to_presets(key, value): from the `PRESETS_TO_CREATE` object. ''' color_index = 0 - preset = copy.deepcopy(OPTIONS) - for option in preset: - if option['id'] in value: - option['types']['highlight']['value'] = True - option['types']['highlight']['color'] = HIGHLIGHTING_COLORS[color_index] - color_index += 1 - + preset = {} + for option in value: + preset[option] = {'highlight': {'value': True, 'color': HIGHLIGHTING_COLORS[color_index]}} + color_index += 1 PRESETS[key] = preset diff --git a/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/preset_component.py b/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/preset_component.py index dd9c86c69..3dfeac035 100644 --- a/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/preset_component.py +++ b/modules/wo_classroom_text_highlighter/wo_classroom_text_highlighter/preset_component.py @@ -10,6 +10,7 @@ _prefix = 'option-preset' _store = f'{_prefix}-store' _add_input = f'{_prefix}-add-input' +_add_help = f'{_prefix}-add-help' _add_button = f'{_prefix}-add-button' _tray = f'{_prefix}-tray' _set_item = f'{_prefix}-set-item' @@ -19,6 +20,11 @@ def create_layout(): add_preset = dbc.InputGroup([ dbc.Input(id=_add_input, placeholder='Preset name', type='text', value=''), + dbc.InputGroupText(html.I(className='fas fa-circle-question'), id=_add_help), + dbc.Tooltip( + 'Save the current selected information as a preset for quick use in the future.', + target=_add_help + ), dbc.Button([ html.I(className='fas fa-plus me-1'), 'Preset' @@ -28,8 +34,9 @@ def create_layout(): add_preset, html.Div(id=_tray), # TODO we ought to store the presets on the server instead of browser storage + # TODO we need to migrate the old options to new ones dcc.Store(id=_store, data=wo_classroom_text_highlighter.options.PRESETS, storage_type='local') - ]) + ], id=_prefix) # disabled add preset when name already exists diff --git a/modules/wo_common_student_errors/setup.cfg b/modules/wo_common_student_errors/setup.cfg index cec31a2ff..0f7c59fe2 100644 --- a/modules/wo_common_student_errors/setup.cfg +++ b/modules/wo_common_student_errors/setup.cfg @@ -1,7 +1,7 @@ [metadata] name = Writing Observer Common Student Errors description = Dashboard for viewing errors across a classroom of students. -url = https://github.com/ETS-Next-Gen/writing_observer +url = https://github.com/ArgLab/writing_observer version = 0.1 [options] diff --git a/modules/wo_document_list/setup.cfg b/modules/wo_document_list/setup.cfg index 01be4a27e..1d99323fc 100644 --- a/modules/wo_document_list/setup.cfg +++ b/modules/wo_document_list/setup.cfg @@ -1,7 +1,7 @@ [metadata] name = Writing Observer List of Documents description = Dashboard for viewing documents from various sources for each student. -url = https://github.com/ETS-Next-Gen/writing_observer +url = https://github.com/ArgLab/writing_observer version = 0.1 [options] diff --git a/modules/wo_highlight_dashboard/setup.cfg b/modules/wo_highlight_dashboard/setup.cfg index 617f176d5..af3d30f0d 100644 --- a/modules/wo_highlight_dashboard/setup.cfg +++ b/modules/wo_highlight_dashboard/setup.cfg @@ -1,7 +1,7 @@ [metadata] name = Dash Writing Observer Class Highlight Dashboard description = Dashboard using Dash for the Writing Observer -url = https://github.com/ETS-Next-Gen/writing_observer +url = https://github.com/ArgLab/writing_observer version = 0.1 [options] diff --git a/modules/wo_portfolio_diff/README.md b/modules/wo_portfolio_diff/README.md new file mode 100644 index 000000000..d45678607 --- /dev/null +++ b/modules/wo_portfolio_diff/README.md @@ -0,0 +1,56 @@ +# wo_portfolio_diff + +This package bundles the compiled frontend output of the `portfolio_diff` project as a Python package, allowing it to be installed and served as a static asset. + +## How It Works + +### 1. Build the Frontend + +The frontend lives in the `portfolio_diff` source directory. To produce a fresh build, run the following from that directory: + +```bash +rm -rf out/ +npm run build +``` + +This removes any previous build artifacts and compiles the project into an `out/` folder. + +### 2. Copy the Build Output + +Once the build is complete, the compiled assets are copied into this package: + +```bash +rm -rf ../wo_portfolio_diff/wo_portfolio_diff/portfolio_diff/ +mkdir ../wo_portfolio_diff/wo_portfolio_diff/portfolio_diff/ +cp -r out/ ../wo_portfolio_diff/wo_portfolio_diff/portfolio_diff/ +``` + +This replaces the previously bundled assets with the freshly built ones, placing the contents of `out/` under `wo_portfolio_diff/portfolio_diff/`. + +### 3. Install the Package + +With the build output in place, install the Python package in editable mode: + +```bash +pip install -e modules/wo_portfolio_diff +``` + +The `-e` flag installs the package in editable (development) mode, meaning changes to the package directory are immediately reflected without needing to reinstall. + +## Summary + +| Step | Command | Purpose | +|------|---------|---------| +| Clean | `rm -rf out/` | Remove stale build artifacts | +| Build | `npm run build` | Compile the frontend into `out/` | +| Sync | `cp -r out/ ../wo_portfolio_diff/...` | Update bundled assets in this package | +| Install | `pip install -e modules/wo_portfolio_diff` | Install the package locally | + +### ENV Variables + +To set environment variables at build time, add them to a `.env.production` file. The build command will load these in. + +| Env | Purpose | +|-----|---------| +| NEXT_PUBLIC_LO_WS_ORIGIN | Where to point communication protocol queries. | + diff --git a/modules/wo_portfolio_diff/VERSION b/modules/wo_portfolio_diff/VERSION new file mode 100644 index 000000000..d6b123109 --- /dev/null +++ b/modules/wo_portfolio_diff/VERSION @@ -0,0 +1 @@ +0.1.0+2026.02.27T21.15.41.540Z.01d7abed.berickson.20260220.dami.portfolio.pr diff --git a/modules/wo_portfolio_diff/pyproject.toml b/modules/wo_portfolio_diff/pyproject.toml new file mode 100644 index 000000000..8fe2f47af --- /dev/null +++ b/modules/wo_portfolio_diff/pyproject.toml @@ -0,0 +1,3 @@ +[build-system] +requires = ["setuptools>=42", "wheel"] +build-backend = "setuptools.build_meta" diff --git a/modules/wo_portfolio_diff/setup.cfg b/modules/wo_portfolio_diff/setup.cfg new file mode 100644 index 000000000..c081ec603 --- /dev/null +++ b/modules/wo_portfolio_diff/setup.cfg @@ -0,0 +1,11 @@ +[metadata] +name = Writing Observer Portfolio Diff +version = file:VERSION +description = Use this as a base template for creating new modules on the Learning Observer. + +[options] +packages = wo_portfolio_diff + +[options.entry_points] +lo_modules = + wo_portfolio_diff = wo_portfolio_diff.module diff --git a/modules/wo_portfolio_diff/wo_portfolio_diff/__init__.py b/modules/wo_portfolio_diff/wo_portfolio_diff/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/modules/wo_portfolio_diff/wo_portfolio_diff/module.py b/modules/wo_portfolio_diff/wo_portfolio_diff/module.py new file mode 100644 index 000000000..a8b13d7c9 --- /dev/null +++ b/modules/wo_portfolio_diff/wo_portfolio_diff/module.py @@ -0,0 +1,31 @@ +''' +Writing Observer Portfolio Diff + +A writing observer module that shows the difference between the works of a student +''' + +# Name for the module +NAME = 'Writing Observer - Portfolio Diff' + + +''' +The Course Dashboards are used to populate the modules +on the home screen. + +Note the icon uses Font Awesome v5 +''' +COURSE_DASHBOARDS = [{ + 'name': NAME, + 'url': "/wo_portfolio_diff/portfolio_diff/", + "icon": { + "type": "fas", + "icon": "fa-play-circle" + } +}] + +''' +Built NextJS pages we want to serve. +''' +NEXTJS_PAGES = [ + {'path': 'portfolio_diff/'} +] \ No newline at end of file diff --git a/modules/writing_observer/README.md b/modules/writing_observer/README.md index 38c136149..1aa811ea4 100644 --- a/modules/writing_observer/README.md +++ b/modules/writing_observer/README.md @@ -1,53 +1,124 @@ # Writing Observer -The Writing Observer platform provides and interface to various Natural Language Processing (NLP) tools. +**Last updated:** September 30th, 2025 + +The Writing Observer module wraps the NLP and feedback services that power Writing Observer features. It exposes a consistent interface for: + +* generating writing indicators from the Analytics for Writing Evaluation (AWE) stack, see [AWE Workbench](https://github.com/ETS-Next-Gen/AWE_Workbench) +* surfacing grammar and usage issues through LanguageTool +* forwarding communication protocol queries to GPT-based responders + +This document explains how to configure the module and reuse individual components inside another system. + +## Quick Start + +1. Ensure the module is installed in your environment `pip install modules/writing_observer`. +2. Configure module level settings in `creds.yaml` (see the next section). +3. Import the module into your project and call the service(s) you require. + +> The module is designed so that any feature can be toggled on or off. This lets you reuse only the pieces that are available in your deployment environment. + +## Configuration (`creds.yaml`) + +Below is a representative configuration block. Any unspecified key falls back to the documented default value. ## Config (`creds.yaml`) ```yaml modules: - writing_observer: - use_nlp: false - use_google_documents: false - use_languagetool: false - languagetool_host: http://localhost - languagetool_port: 8081 - verbose: false - gpt_responders: - ollama: - model: llama2 - host: http://localhost:11434 - openai: - model: gpt-3.5-turbo-16k - api_key: your-secret-key + writing_observer: + use_nlp: false + use_google_documents: false + use_languagetool: false + languagetool_host: http://localhost + languagetool_port: 8081 + verbose: false + gpt_responders: + ollama: + model: llama2 + host: http://localhost:11434 + openai: + model: gpt-3.5-turbo-16k + api_key: your-secret-key ``` -- `use_nlp` (bool, default false): determines whether or not we should use the AWE libraries or not to compute NLP indicators. -- `use_google_documents` (bool, default false): determines if we should attempt to update the reconstruct reducer with the ground truth (Google docs API). -- `use_languagetool` (bool, default false): enable LanguageTool information to be processed. - - `languagetool_host` (str, default `localhost`): host that is running LanguageTool - - `languagetool_port` (int, default 8081): which port LanguageTool is running on -- `verbose` (bool, default false): print state whenever reducers update -- `gpt_responders` (obj, {}): how you wish to connect to GPTs. See dedicated section below for more details. +### Top-level flags + +| Key | Type | Default | Description | +| --- | --- | --- | --- | +| `use_nlp` | bool | `false` | Enable AWE NLP indicators such as parts of speech, main idea detection, and academic language metrics. | +| `use_google_documents` | bool | `false` | Sync reconstructed reducer state with a Google Doc using the Google Docs API. | +| `use_languagetool` | bool | `false` | Run LanguageTool analysis on submitted text. | +| `verbose` | bool | `false` | Log reducer state whenever it updates (useful when debugging pipelines). | + +### LanguageTool options + +| Key | Type | Default | Description | +| --- | --- | --- | --- | +| `languagetool_host` | str | `http://localhost` | Host URL for the LanguageTool server. | +| `languagetool_port` | int | `8081` | Port on which LanguageTool is available. | + +Set `use_languagetool` to `true` only when LanguageTool is reachable at the configured host and port. + +### GPT responders + +The `gpt_responders` object declares one or more providers. The system iterates over the responders in the order they appear and selects the first one that is correctly configured. This allows you to offer fallbacks (for example, try a local Ollama instance before hitting OpenAI). + +Currently supported responders: + +#### Ollama + +| Key | Type | Default | Description | +| --- | --- | --- | --- | +| `model` | str | `llama2` | Model name served by the Ollama runtime. | +| `host` | str | `http://localhost:11434` | Base URL of the Ollama server. You can also supply this via the `OLLAMA_HOST` environment variable. | + +#### OpenAI + +| Key | Type | Default | Description | +| --- | --- | --- | --- | +| `model` | str | `gpt-3.5-turbo-16k` | Chat completion model to call. | +| `api_key` | str | _(required)_ | Secret API key for your OpenAI account. You can also provide it through the `OPENAI_API_KEY` environment variable. | + +## Feature-by-feature guidance + +### NLP indicators (AWE) + +1. Set `use_nlp: true` in the configuration. +2. Ensure the AWE libraries are installed and accessible from the runtime environment. +3. Call the relevant reducers or service functions to compute indicators such as parts-of-speech counts or academic language percentages. + +These indicators are useful for automated writing evaluation and can be combined with LanguageTool or GPT feedback. + +### Google Docs synchronization + +Enable `use_google_documents` when you want the module to keep a Google Doc up to date with reconstructed reducer state. You must supply Google API credentials in the broader system configuration (outside the scope of this document). + +### LanguageTool error detection -## Available tools +1. Run or connect to a LanguageTool server. +2. Configure `languagetool_host` and `languagetool_port`. +3. Set `use_languagetool: true`. -There are 3 primary tools we have available to us. +The module will then enrich reducer output with spelling and usage error information, which can be displayed directly to writers or incorporated into other feedback flows. -1. NLP indicators to suppoprt automated writing evaulation. These indicators provide information about the text (parts of speech, main ideas, % of academic langauge, etc.). -2. LanguageTool to detect specific errors being made in text. These errors include spelling and incorrect word usage. -3. Ability to interface with LLMs. +### GPT-based feedback -## GPT Responders +1. Add one or more entries to `gpt_responders` (see tables above). +2. Provide any required credentials via configuration or environment variables. +3. Enable the module feature or reducer that consumes GPT responses (for instance, conversational feedback or revision suggestions). -We allow users to define different ways of interacting with GPTs. The system will iterate over each listed responder and return the first successfully configured one. The current supported responders are: +## Tips for integration -### Ollama +* Toggle features gradually during development to keep dependencies manageable. +* Use the `verbose` flag while integrating new reducers to observe state transitions and diagnose issues. +* Keep secrets (such as API keys) out of version control by relying on environment variables or secret management tooling. +* When deploying in containers, expose the LanguageTool and Ollama ports to the module runtime. -- `model` (str, default `llama2`): the model you wish to use. -- `host` (str, default `http://localhost:11434`): the host running Ollama. You may also set the `OLLAMA_HOST` environment variable. +## Further resources -### OpenAI +* [LanguageTool server documentation](https://dev.languagetool.org/http-server) +* [Ollama documentation](https://docs.ollama.ai/) +* [OpenAI API reference](https://platform.openai.com/docs/) -- `model` (str, default `gpt-3.5-turbo-16k`): the model you wish to use. -- `api_key` (str): your secret openai API key. You may also set this with the `OPENAI_API_KEY` environment variable. +These resources provide additional setup instructions and troubleshooting guides for the third-party services referenced above. diff --git a/modules/writing_observer/VERSION b/modules/writing_observer/VERSION new file mode 100644 index 000000000..42ec10d5b --- /dev/null +++ b/modules/writing_observer/VERSION @@ -0,0 +1 @@ +0.1.0+2026.03.06T16.07.48.997Z.0bfff3a0.berickson.20260303.copy.paste.reducer diff --git a/modules/writing_observer/pyproject.toml b/modules/writing_observer/pyproject.toml new file mode 100644 index 000000000..8fe2f47af --- /dev/null +++ b/modules/writing_observer/pyproject.toml @@ -0,0 +1,3 @@ +[build-system] +requires = ["setuptools>=42", "wheel"] +build-backend = "setuptools.build_meta" diff --git a/modules/writing_observer/setup.cfg b/modules/writing_observer/setup.cfg index 5515d2a7e..57445aba3 100644 --- a/modules/writing_observer/setup.cfg +++ b/modules/writing_observer/setup.cfg @@ -4,10 +4,16 @@ description = Writing Observer, a tool for monitoring student writing processes url = http://www.ets.org author_email = pmitros@ets.org author = Piotr Mitros -version = 0.1 +version = file:VERSION [options] packages = writing_observer +install_requires = + AWE_SpellCorrect @ git+https://github.com/ETS-Next-Gen/AWE_SpellCorrect.git + AWE_Components @ git+https://github.com/ETS-Next-Gen/AWE_Components.git + AWE_Lexica @ git+https://github.com/ETS-Next-Gen/AWE_Lexica.git + AWE_LanguageTool @ git+https://github.com/ETS-Next-Gen/AWE_LanguageTool.git + wikipedia [options.entry_points] lo_modules = diff --git a/modules/writing_observer/writing_observer/aggregator.py b/modules/writing_observer/writing_observer/aggregator.py index f45e06714..280f10ef4 100644 --- a/modules/writing_observer/writing_observer/aggregator.py +++ b/modules/writing_observer/writing_observer/aggregator.py @@ -12,6 +12,7 @@ import learning_observer.communication_protocol.integration import learning_observer.constants as constants import learning_observer.kvs +import learning_observer.rosters import learning_observer.settings from learning_observer.stream_analytics.fields import KeyField, KeyStateType, EventField import learning_observer.stream_analytics.helpers @@ -278,11 +279,11 @@ async def fetch_doc_from_google(student, doc_id): """ if student is None or doc_id is None or len(doc_id) == 0: return None - import learning_observer.google + import learning_observer.integrations.google kvs = learning_observer.kvs.KVS() - text = await learning_observer.google.doctext(runtime, documentId=doc_id) + text = await learning_observer.integrations.google.doctext(runtime, documentId=doc_id) # Only update Redis is we have text available. If `text` is missing, then # we likely encountered an error, usually related to document permissions. if 'text' not in text: @@ -298,12 +299,14 @@ async def fetch_doc_from_google(student, doc_id): await kvs.set(key, text) return text - if learning_observer.settings.module_setting('writing_observer', 'use_google_documents'): - [await fetch_doc_from_google( - learning_observer.util.get_nested_dict_value(d, 'provenance.provenance.value.user_id'), - learning_observer.util.get_nested_dict_value(d, 'doc_id') - ) for d in doc_ids] - return doc_ids + fetch_from_google_documents = learning_observer.settings.module_setting('writing_observer', 'use_google_documents') + async for d in doc_ids: + if fetch_from_google_documents: + await fetch_doc_from_google( + learning_observer.util.get_nested_dict_value(d, 'provenance.provenance.STUDENT.value.user_id'), + learning_observer.util.get_nested_dict_value(d, 'doc_id') + ) + yield d def get_last_document_id(s): @@ -330,13 +333,13 @@ async def fetch_doc_from_google(student): :param student: A student object :return: The text of the latest document """ - import learning_observer.google + import learning_observer.integrations.google kvs = learning_observer.kvs.KVS() docId = get_last_document_id(student) # fetch text - text = await learning_observer.google.doctext(runtime, documentId=docId) + text = await learning_observer.integrations.google.doctext(runtime, documentId=docId) # set reconstruction data to ground truth key = learning_observer.stream_analytics.helpers.make_key( writing_observer.writing_analysis.reconstruct, @@ -412,7 +415,7 @@ async def latest_data(runtime, student_data, options=None): @learning_observer.communication_protocol.integration.publish_function('google.fetch_assignment_docs') -async def fetch_assignment_docs(runtime, course_id, assignment_id): +async def fetch_assignment_docs(runtime, course_id, kwargs=None): ''' Invoke the Google API to retrieve a list of students, where each student possesses a collection of documents associated with the specified assignment. @@ -420,4 +423,24 @@ async def fetch_assignment_docs(runtime, course_id, assignment_id): I wasn't sure where to put this code, so I just tossed it here for now. This entire file needs a bit of reworking, what's a little more? ''' - return await learning_observer.google.assigned_docs(runtime, courseId=course_id, courseWorkId=assignment_id) + if kwargs is None: + kwargs = {} + assignment_id = kwargs.get('assignment') + output = [] + if assignment_id: + output = await learning_observer.rosters.courseassignment_assigned_docs(runtime.get_request(), course_id, assignment_id) + async for student in learning_observer.util.ensure_async_generator(output): + s = {} + s['doc_id'] = student['documents'][0]['id'] + # HACK a piece above the source selector in the communication protocol + # expects all items returned to have the same provenance. This mirrors + # the provenance that will be returned by the other sources. + # TODO modify the source selector to handle the provenance + provenance = { + 'provenance': {'STUDENT': { + 'value': {'user_id': student['user_id']}, + 'user_id': student['user_id'] + }} + } + s['provenance'] = provenance + yield s diff --git a/modules/writing_observer/writing_observer/awe_nlp.py b/modules/writing_observer/writing_observer/awe_nlp.py index 838f82d09..4028d1265 100644 --- a/modules/writing_observer/writing_observer/awe_nlp.py +++ b/modules/writing_observer/writing_observer/awe_nlp.py @@ -75,6 +75,7 @@ def init_nlp(): raise OSError(error_text) from e import awe_components.setup.data awe_components.setup.data.download_models() + nlp = spacy.load('en_core_web_lg') # Adding all of the components, since # each of them turns out to be implicated in @@ -153,7 +154,7 @@ def process_text(text, options=None): if item not in writing_observer.nlp_indicators.INDICATORS: continue indicator = writing_observer.nlp_indicators.INDICATORS[item] - (id, label, infoType, select, filterInfo, summaryType) = indicator + (id, label, infoType, select, filterInfo, summaryType, category) = indicator results[id] = outputIndicator(doc, select, infoType, stype=summaryType, text=text, added_filter=filterInfo) results[id].update({ "label": label, @@ -371,6 +372,7 @@ async def process_writings_with_caching(writing_data, options=None, mode=RUN_MOD async for writing in writing_data: text = writing.get('text', '') if len(text) == 0: + yield writing continue # Creating text hash and setting defaults diff --git a/modules/writing_observer/writing_observer/copy_paste_utils.py b/modules/writing_observer/writing_observer/copy_paste_utils.py new file mode 100644 index 000000000..c7f7b11d4 --- /dev/null +++ b/modules/writing_observer/writing_observer/copy_paste_utils.py @@ -0,0 +1,322 @@ +""" +Helpers for extracting copy, cut, and paste signals from writing analytics +events. +""" + +from __future__ import annotations + +import datetime as dt + +PASTE_WAIT_MS = 2500 +MENU_FLAG_MS = 1500 +DEDUP_MS = 750 +BIG_PASTE_THRESHOLD = 200 +MAX_RECENT_PASTE_TEXT_CHARS = 500 +MAX_RECURSION_DEPTH = 50 + + +class Actions: + COPY = frozenset({"copy", "clipboard_copy", "gdocs_copy", "menu_copy", "edit_copy"}) + CUT = frozenset({"cut", "clipboard_cut", "gdocs_cut", "menu_cut", "edit_cut"}) + PASTE = frozenset({"paste", "clipboard_paste", "gdocs_paste", "insert_from_clipboard"}) + MENU_PASTE = frozenset({"menu_paste", "edit_paste", "contextmenu_paste"}) + GDOCS_SAVE = "google_docs_save" + + +def unwrap_event(event): + if isinstance(event, dict) and isinstance(event.get("client"), dict): + return event["client"] + return event if isinstance(event, dict) else {} + + +def _get_event_time(event, client): + """Resolve the timestamp once per event, with fallback.""" + server_time = (event.get("server") or {}).get("time") + if server_time is not None: + return server_time + return client.get("timestamp") or (client.get("metadata") or {}).get("ts") + + +def event_action(client): + action = client.get("action") or client.get("event") or client.get("type") or client.get("event_type") or "" + if action: + return str(action).lower() + keystroke = client.get("keystroke", {}) if isinstance(client.get("keystroke"), dict) else {} + return str(keystroke.get("action") or keystroke.get("type") or "").lower() + + +def keys_info(client): + keystroke = client.get("keystroke", {}) if isinstance(client.get("keystroke"), dict) else {} + key = keystroke.get("key") or client.get("key") or "" + code = keystroke.get("code") or client.get("code") or "" + event_type = keystroke.get("type") or client.get("type") or "" + ctrl = bool(keystroke.get("ctrl") or client.get("ctrl") or keystroke.get("ctrlKey") or client.get("ctrlKey")) + meta = bool(keystroke.get("metaKey") or client.get("metaKey")) + key_code = keystroke.get("keyCode") or client.get("keyCode") or keystroke.get("which") or client.get("which") + return { + "key": str(key).lower() if key else "", + "code": str(code), + "event_type": str(event_type).lower(), + "ctrl_or_meta": bool(ctrl or meta), + "key_code": int(key_code) if isinstance(key_code, (int, float)) else None, + } + + +def _is_key_combo(info, key_char, code_str, key_code_int): + return info["event_type"] == "keydown" and info["ctrl_or_meta"] and ( + info["key"] == key_char or info["code"] == code_str or info["key_code"] == key_code_int + ) + + +def is_copy(client): + action = event_action(client) + if action in Actions.COPY: + return True + return _is_key_combo(keys_info(client), "c", "KeyC", 67) + + +def is_cut(client): + action = event_action(client) + if action in Actions.CUT: + return True + return _is_key_combo(keys_info(client), "x", "KeyX", 88) + + +def is_paste_keyboard(client): + action = event_action(client) + if action in Actions.PASTE: + return True + return _is_key_combo(keys_info(client), "v", "KeyV", 86) + + +def looks_like_menu_paste(client): + action = event_action(client) + if action in Actions.MENU_PASTE: + return True + return action == "contextmenu" + + +def timestamp_ms(event, client=None): + client = client or unwrap_event(event) + value = _get_event_time(event, client) + if isinstance(value, (int, float)): + return int(value * 1000) if value < 10**11 else int(value) + return int(dt.datetime.now(dt.timezone.utc).timestamp() * 1000) + + +def collect_inserted_text(command, output, _depth=0): + if not isinstance(command, dict) or _depth > MAX_RECURSION_DEPTH: + return + + if command.get("ty") == "is": + string_value = command.get("s") + if isinstance(string_value, str) and string_value: + output.append(string_value) + + if isinstance(command.get("nmc"), dict): + collect_inserted_text(command["nmc"], output, _depth + 1) + + for child in command.get("mts") or []: + collect_inserted_text(child, output, _depth + 1) + + +def extract_insert_from_gdocs_save(client): + parts = [] + for bundle in client.get("bundles") or []: + for command in (bundle or {}).get("commands") or []: + collect_inserted_text(command, parts) + return "".join(parts) + + +def paste_length_bin(length): + if length <= 0: + return "none" + if length <= 20: + return "short_1_20" + if length <= 200: + return "medium_21_200" + return "long_201_plus" + + +def append_recent(items, entry, limit=10): + result = list(items or []) + result.append(entry) + return result[-limit:] + + +def clip_recent_paste_text(text, limit=MAX_RECENT_PASTE_TEXT_CHARS): + if text is None: + return None, False + if len(text) <= limit: + return text, False + return text[:limit], True + + +def default_paste_state(): + return { + "paste_count": 0, + "pastes_with_length": 0, + "total_paste_chars": 0, + "max_paste_len": 0, + "last_paste_len": 0, + "big_pastes": 0, + "length_bins": { + "short_1_20": 0, + "medium_21_200": 0, + "long_201_plus": 0, + }, + "recent_pastes": [], + "awaiting_paste_until": 0, + "maybe_menu_paste_until": 0, + "last_paste_signal_ms": 0, + } + + +def default_copy_cut_state(): + return { + "copy_count": 0, + "cut_count": 0, + "last_copy_ts": 0, + "last_cut_ts": 0, + "recent_events": [], + } + + +def update_paste_state(event, state): + state = dict(default_paste_state() if state is None else state) + state["length_bins"] = dict(state.get("length_bins", {})) + state["recent_pastes"] = [dict(p) for p in state.get("recent_pastes", [])] + + client = unwrap_event(event) + ts_ms = timestamp_ms(event, client) + action = event_action(client) + + if is_paste_keyboard(client): + if ts_ms - state.get("last_paste_signal_ms", 0) <= DEDUP_MS: + return False + state["paste_count"] = state.get("paste_count", 0) + 1 + state["last_paste_signal_ms"] = ts_ms + state["awaiting_paste_until"] = ts_ms + PASTE_WAIT_MS + state["recent_pastes"] = append_recent( + state["recent_pastes"], + { + "timestamp_ms": ts_ms, + "length": None, + "source": "keyboard", + "text": None, + "text_truncated": False, + "resolved": False, + }, + ) + return state + + if looks_like_menu_paste(client): + state["maybe_menu_paste_until"] = ts_ms + MENU_FLAG_MS + return state + + if action != Actions.GDOCS_SAVE: + return False + + inserted_text = extract_insert_from_gdocs_save(client) + if not inserted_text: + return False + + paste_length = len(inserted_text) + awaiting_paste_until = state.get("awaiting_paste_until", 0) + maybe_menu_paste_until = state.get("maybe_menu_paste_until", 0) + counted_from_save = False + + if ts_ms <= maybe_menu_paste_until and ts_ms > awaiting_paste_until: + if ts_ms - state.get("last_paste_signal_ms", 0) <= DEDUP_MS: + return False + state["paste_count"] = state.get("paste_count", 0) + 1 + state["last_paste_signal_ms"] = ts_ms + counted_from_save = True + + if ts_ms > awaiting_paste_until and not counted_from_save: + return False + + state["pastes_with_length"] = state.get("pastes_with_length", 0) + 1 + state["total_paste_chars"] = state.get("total_paste_chars", 0) + paste_length + state["max_paste_len"] = max(state.get("max_paste_len", 0), paste_length) + state["last_paste_len"] = paste_length + if paste_length >= BIG_PASTE_THRESHOLD: + state["big_pastes"] = state.get("big_pastes", 0) + 1 + + bin_name = paste_length_bin(paste_length) + if bin_name != "none": + state["length_bins"][bin_name] = state["length_bins"].get(bin_name, 0) + 1 + + clipped_text, was_truncated = clip_recent_paste_text(inserted_text) + + # --- Coalesce: find the pending keyboard entry and enrich it --- + if not counted_from_save: + resolved = False + for entry in reversed(state["recent_pastes"]): + if not entry.get("resolved") and entry.get("source") == "keyboard": + entry["length"] = paste_length + entry["text"] = clipped_text + entry["text_truncated"] = was_truncated + entry["resolved"] = True + resolved = True + break + if not resolved: + # Defensive fallback: no pending entry found, append standalone + state["recent_pastes"] = append_recent( + state["recent_pastes"], + { + "timestamp_ms": ts_ms, + "length": paste_length, + "source": "keyboard", + "text": clipped_text, + "text_truncated": was_truncated, + "resolved": True, + }, + ) + else: + state["recent_pastes"] = append_recent( + state["recent_pastes"], + { + "timestamp_ms": ts_ms, + "length": paste_length, + "source": "menu", + "text": clipped_text, + "text_truncated": was_truncated, + "resolved": True, + }, + ) + + state["awaiting_paste_until"] = 0 + state["maybe_menu_paste_until"] = 0 + return state + + +def update_copy_cut_state(event, state): + state = dict(default_copy_cut_state() if state is None else state) + state["recent_events"] = list(state.get("recent_events", [])) + + client = unwrap_event(event) + ts_ms = timestamp_ms(event, client) + event_type = None + + if is_copy(client): + if ts_ms - state.get("last_copy_ts", 0) <= DEDUP_MS: + return False + state["copy_count"] = state.get("copy_count", 0) + 1 + state["last_copy_ts"] = ts_ms + event_type = "copy" + elif is_cut(client): + if ts_ms - state.get("last_cut_ts", 0) <= DEDUP_MS: + return False + state["cut_count"] = state.get("cut_count", 0) + 1 + state["last_cut_ts"] = ts_ms + event_type = "cut" + + if not event_type: + return False + + state["recent_events"] = append_recent( + state.get("recent_events"), + {"timestamp_ms": ts_ms, "event_type": event_type}, + ) + return state diff --git a/modules/writing_observer/writing_observer/document_timestamps.py b/modules/writing_observer/writing_observer/document_timestamps.py index b7c9f5285..4d6ec4449 100644 --- a/modules/writing_observer/writing_observer/document_timestamps.py +++ b/modules/writing_observer/writing_observer/document_timestamps.py @@ -13,22 +13,63 @@ def select_source(sources, source): within the protocol, we could make it so the system only runs the requested source node. TODO make this a dispatch type within the protocol + TODO add provenance at this layer. Each source might have a different + provenance structure. This should create one to use. ''' if source not in sources: raise KeyError(f'Source, `{source}`, not found in available sources: {sources.keys()}') return sources[source] +@learning_observer.communication_protocol.integration.publish_function('writing_observer.fetch_doc_by_title_text') +async def fetch_doc_by_title_text(document_lists, kwargs=None): + ''' + Iterate over student document metadata and choose the most recently + accessed document whose title contains the provided `kwargs.title_text`. + ''' + if kwargs is None: + kwargs = {} + title_text = (kwargs.get('title_text') or '').strip().lower() + + async for student in document_lists: + docs = student.get('docs', {}) + student['doc_id'] = '' + if not title_text: + yield student + continue + + best_doc_id = '' + best_last_access = -1 + for doc_id, metadata in docs.items(): + title = str(metadata.get('title', '') or '').lower() + if title_text not in title: + continue + + last_access = metadata.get('last_access') + try: + last_access = float(last_access) + except (TypeError, ValueError): + last_access = -1 + + if last_access > best_last_access: + best_last_access = last_access + best_doc_id = doc_id + + student['doc_id'] = best_doc_id + yield student + + @learning_observer.communication_protocol.integration.publish_function('writing_observer.fetch_doc_at_timestamp') -async def fetch_doc_at_timestamp(overall_timestamps, requested_timestamp=None): +async def fetch_doc_at_timestamp(overall_timestamps, kwargs=None): ''' Iterate over a list of students and determine their latest document - in reference to the `requested_timestamp`. + in reference to the `kwargs.requested_timestamp`. `requested_timestamp` should be a string of ms since unix epoch ''' - # output = [] - # TODO this should be an async gen + if kwargs is None: + kwargs = {} + requested_timestamp = kwargs.get('requested_timestamp', None) async for student in overall_timestamps: timestamps = student.get('timestamps', {}) student['doc_id'] = '' @@ -44,3 +85,13 @@ async def fetch_doc_at_timestamp(overall_timestamps, requested_timestamp=None): target_ts = sorted_ts[bisect_index] student['doc_id'] = timestamps[target_ts] yield student + + +@learning_observer.communication_protocol.integration.publish_function('writing_observer.single_student_from_roster') +def single_student_from_roster(roster, student_id): + ''' + Return the roster entry for a single student id. + + We use roster data as the source of profile truth for dashboards. + ''' + return [student for student in roster if student.get('user_id') == student_id] diff --git a/modules/writing_observer/writing_observer/languagetool.py b/modules/writing_observer/writing_observer/languagetool.py index 9a4d3e750..c9fdecd70 100644 --- a/modules/writing_observer/writing_observer/languagetool.py +++ b/modules/writing_observer/writing_observer/languagetool.py @@ -1,5 +1,4 @@ import pmss -import requests import learning_observer.cache import learning_observer.communication_protocol.integration @@ -13,6 +12,10 @@ client = None DEFAULT_PORT = 8081 lt_started = False +# TODO fill this in +STUB_LANGUAGETOOL_OUTPUT = { + 'languagetool_stub': 'This is stub output. It will probably break something until we clean this up.' +} pmss.register_field( name='use_languagetool', @@ -47,46 +50,22 @@ def check_languagetool_running(): if learning_observer.settings.module_setting('writing_observer', 'use_languagetool'): host = learning_observer.settings.module_setting('writing_observer', 'languagetool_host') port = learning_observer.settings.module_setting('writing_observer', 'languagetool_port') + # TODO LanguageTool Client also accepts a full server url, we ought to fetch that from pmss - # HACK the following code is a hack to check if the LanguageTool Server is up and running or not - # We ought to set the LT Client object on startup (here); however, - # the LT Client has no way of telling us whether the Server is running or not. - # i.e. the LT Client runs normally even without the server running. - # Thus, we manually make a request to the server to and check the response. - global lt_started + global client, lt_started try: - resp = requests.get(f'http://{host}:{port}/v2/check', params={'text': 'test', 'language': 'en-US'}) - lt_started = resp.status_code == 200 - except requests.ConnectionError: - pass - - if not lt_started: + client = languagetoolClient.languagetoolClient(port=port, host=host) + lt_started = True + except RuntimeError as e: raise learning_observer.prestartup.StartupCheck( - f'LanguageTool Server was not found running on port {port}.\n' - 'Please make sure to run the LanguageTool Server before starting Learning Observer.\n' - 'From within your Python environment, run\n' - '```python\nfrom awe_languagetool import languagetoolServer\nlanguagetoolServer.runServer()\n```.\n' - 'If the LanguageTool is already running on a diffrent port, make sure to adjust ' - 'the `writing_observer.languagetool_port` setting in the `creds.yaml`.' - ) + f'Unable to start LanguageTool Client.\n{e}' + ) from e else: debug_log('WARNING:: We are not configured to try and use to LanguageTool. '\ 'Set `modules.writing_observer.use_languagetool: true` in `creds.yaml` '\ 'to enable the usage of the LanguageTool client.') -def initialize_client(): - ''' - Language Tool requires a client to connect with the server. - This method checks to see if we've created a client yet and - initializes one if we haven't. - ''' - global client - if client is None: - port = learning_observer.settings.module_setting('writing_observer', 'languagetool_port') - client = languagetoolClient.languagetoolClient(port=port) - - @learning_observer.communication_protocol.integration.publish_function('writing_observer.languagetool') async def process_texts(texts): ''' @@ -95,24 +74,13 @@ async def process_texts(texts): We use a closure to allow the system to initialize the memoization KVS. ''' - - initialize_client() - - if not lt_started: - error_text = 'The LanguageTool server has not started. '\ - 'Set `modules.writing_observer.use_languagetool: true` in `creds.yaml` '\ - 'to enable the usage of the LanguageTool client.' - raise ConnectionError(error_text) - @learning_observer.cache.async_memoization() async def process_text(text): return await client.summarizeText(text) - output = [] - for t in texts: + async for t in texts: text = t.get('text', '') - text_data = await process_text(text) + text_data = await process_text(text) if lt_started else STUB_LANGUAGETOOL_OUTPUT text_data['text'] = text text_data['provenance'] = t['provenance'] - output.append(text_data) - return output + yield text_data diff --git a/modules/writing_observer/writing_observer/languagetool_features.py b/modules/writing_observer/writing_observer/languagetool_features.py new file mode 100644 index 000000000..a76350c16 --- /dev/null +++ b/modules/writing_observer/writing_observer/languagetool_features.py @@ -0,0 +1,128 @@ +'''This file lists all the options for LanguageTool (LT) +so we can query specific items. + +Note that all features are calculated at once when +querying LT. Listing all the features here allows +dashboards pull out specific items from the returned +query. + +TODO figure out the best data structure for storing +the available features +''' + +# Each tuple in AVAILABLE_ITEMS contains the full path of +# the categories. +AVAILABLE_ITEMS = [ + ('Capitalization', 'Unnecessary capitalization'), + ('Capitalization', 'Acronyms'), + ('Capitalization', 'Abbreviations'), + ('Capitalization', 'Hyphenated Letter Case'), + ('Capitalization', 'Sentence Start'), + ('Capitalization', 'Proper noun case'), + ('Capitalization', 'First person singular caps'), + ('Grammar', 'Extra function word'), + ('Grammar', 'Nonstandard copula'), + ('Grammar', 'Tag question error'), + ('Grammar', 'Missing function word'), + ('Grammar', 'Wrong verb tense'), + ('Grammar', 'Conjunction error'), + ('Grammar', 'Bare possessive'), + ('Grammar', 'Wrong word order'), + ('Grammar', 'Pronoun/antecedent agreement'), + ('Grammar', 'Plural error'), + ('Grammar', 'Missing content word'), + ('Grammar', 'Repeated words'), + ('Grammar', 'Pronoun case'), + ('Grammar', 'Article error'), + ('Grammar', 'Complement error'), + ('Grammar', 'Sentence fragment'), + ('Grammar', 'Comparative error'), + ('Grammar', 'Superlative error'), + ('Grammar', 'Tense error'), + ('Grammar', 'Wrong verb form'), + ('Grammar', 'Wrong part of speech'), + ('Grammar', 'Subject/verb agreement'), + ('Grammar', 'Wrong past participle'), + ('Grammar', 'Negation error'), + ('Possible Typo', 'Misplaced space'), + ('Possible Typo', 'Missing space'), + ('Possible Typo', 'Incorrect plural possessive'), + ('Possible Typo', 'Wrong case'), + ('Possible Typo', 'Missing hyphen'), + ('Possible Typo', 'Wrong contraction'), + ('Possible Typo', 'Possessive as contraction'), + ('Possible Typo', 'Wrong letter'), + ('Possible Typo', 'Terminology'), + ('Possible Typo', 'Reversed letters'), + ('Possible Typo', 'Possessive as plural'), + ('Possible Typo', 'Extra space'), + ('Possible Typo', 'Bare possessive'), + ('Possible Typo', 'Missing punctuation'), + ('Possible Typo', 'Extra letter'), + ('Possible Typo', 'Missing period'), + ('Possible Typo', 'Plural as possessive'), + ('Possible Typo', 'Repeated words'), + ('Possible Typo', 'Contraction without apostrophe'), + ('Possible Typo', 'Missing letter'), + ('Punctuation', 'Missing end punctuation'), + ('Punctuation', 'Oxford comma'), + ('Punctuation', 'Conjunction'), + ('Punctuation', 'Abbreviation'), + ('Punctuation', 'Comparison'), + ('Punctuation', 'Restrictive modifier'), + ('Punctuation', 'Compound sentence'), + ('Punctuation', 'Compound adjective'), + ('Punctuation', 'Sentence modifier'), + ('Punctuation', 'Vocative'), + ('Semantics', 'Date inconsistency'), + ('Semantics', 'Meaning mismatch'), + ('Spelling', 'Number in Name'), + ('Spelling', 'Misused idiom'), + ('Spelling', 'Missing letter'), + ('Spelling', 'Extra letter'), + # ('Spelling', 'Possible Typo'), + ('Spelling', 'Added or dropped t/ed'), + ('Spelling', 'Phonetic spelling'), + ('Spelling', 'Inconsistent Spelling'), + ('Spelling', 'Homonym'), + ('Spelling', 'Unknown word'), + ('Style', 'Formality'), + ('Style', 'Word choice'), + ('Style', 'Repetition'), + ('Style', 'Wikipedia'), + ('Style', 'British English'), + ('Style', 'Readability'), + ('Style', 'Profanity'), + ('Style', 'Awkward language'), + ('Style', 'Redundancy'), + ('Style', 'Informal'), + ('Style', 'Indian English Only'), + ('Typography', 'Roman Numerals'), + ('Typography', 'Math'), + ('Typography', 'Date format'), + ('Typography', 'Missing space'), + ('Typography', 'Repeated punctuation'), + ('Typography', 'Headings'), + ('Typography', 'Redundant punctuation'), + ('Typography', 'Extra whitespace'), + ('Typography', 'Paragraph Indent'), + ('Typography', 'Time format'), + ('Typography', 'Special character'), + ('Typography', 'Currency'), + ('Usage', 'Confused words'), + ('Usage', 'Missing preposition'), + ('Usage', 'Misused idiom'), + ('Usage', 'Wrong preposition'), + ('Usage', 'Wrong verb'), + ('Usage', 'Extra preposition'), + ('Word Boundaries', 'Missing hyphen'), + ('Word Boundaries', 'Extra space'), + ('Word Boundaries', 'Prefix as word'), + ('Word Boundaries', 'Missing space') +] + +CATEGORIES = [ + 'Grammar', 'Semantics', 'Style', 'Usage', + 'Capitalization', 'Possible Typo', 'Punctuation', + 'Spelling', 'Typography', 'Word Boundaries' +] diff --git a/modules/writing_observer/writing_observer/module.py b/modules/writing_observer/writing_observer/module.py index da1f03ace..6da99bce0 100644 --- a/modules/writing_observer/writing_observer/module.py +++ b/modules/writing_observer/writing_observer/module.py @@ -11,8 +11,11 @@ # files. import pmss +import learning_observer.communication_protocol.integration import learning_observer.communication_protocol.query as q +import learning_observer.constants as constants import learning_observer.settings +import learning_observer.rosters from learning_observer import downloads as d @@ -21,11 +24,22 @@ import writing_observer.languagetool import writing_observer.tag_docs import writing_observer.document_timestamps +import writing_observer.copy_paste_utils from writing_observer.nlp_indicators import INDICATOR_JSONS NAME = "The Writing Observer" +@learning_observer.communication_protocol.integration.publish_function('writing_observer.roster_with_provenance') +async def roster_with_provenance(roster, course_id): + """Fetch roster entries and add STUDENT provenance for protocol consumers.""" + for student in roster: + if constants.USER_ID not in student: + continue + student['provenance'] = {'STUDENT': {constants.USER_ID: student[constants.USER_ID]}} + return roster + + # things that process data versus things that interact with the environment # side-effects or not # course_id or rosters.course_id to distinguish or provide a default - how to specify selector @@ -40,8 +54,10 @@ group_docs_by = q.call('writing_observer.group_docs_by') document_access_ts = q.call('writing_observer.fetch_doc_at_timestamp') +document_by_title_text = q.call('writing_observer.fetch_doc_by_title_text') source_selector = q.call('source_selector') +single_student_from_roster = q.call('writing_observer.single_student_from_roster') # TODO each of these choices should come from an Enum pmss.parser('nlp_source', parent='string', choices=['nlp', 'nlp_sep_proc'], transform=None) @@ -78,20 +94,84 @@ nlp_source = learning_observer.settings.module_setting('writing_observer', setting='nlp_source') lt_single_source = learning_observer.settings.module_setting('writing_observer', setting='languagetool_individual_source') lt_group_source = learning_observer.settings.module_setting('writing_observer', setting='languagetool_source') + +gpt_bulk_essay = q.call('wo_bulk_essay_analysis.gpt_essay_prompt') + +# Document sources +document_sources = source_selector( + sources={'timestamp': q.variable('docs_at_ts'), + 'latest': q.variable('doc_ids'), + 'assignment': q.variable('assignment_docs'), + 'title_text': q.variable('docs_by_title_text') + }, + source=q.parameter('doc_source', required=False, default='latest') +) + EXECUTION_DAG = { "execution_dag": { "roster": course_roster(runtime=q.parameter("runtime"), course_id=q.parameter("course_id", required=True)), + "roster_with_provenance": q.call('writing_observer.roster_with_provenance')(roster=q.variable('roster'), course_id=q.parameter("course_id", required=True)), + # all documents for a student + 'student_with_docs': q.select( + q.keys( + 'writing_observer.document_list', + scope_fields={ + "student": q.parameter("student_id", required=True) + } + ), + fields={'docs': 'documents'} + ), + # a single document by explicit doc id + 'single_student_doc_by_id': q.select( + q.keys( + 'writing_observer.reconstruct', + scope_fields={ + "student": q.parameter("student_id", required=True), + "doc_id": q.parameter("doc_ids", default=[]) + } + ), + fields={'text': 'text'} + ), + 'single_student_profile': single_student_from_roster( + roster=q.variable('roster_with_provenance'), + student_id=q.parameter('student_id', required=True) + ), + "docs": q.select( + q.keys( + 'writing_observer.reconstruct', + scope_fields={ + "student": {"values": q.variable("roster"), "path": "user_id"}, + "doc_id": {"values": q.variable("update_docs"), "path": "doc_id"} + } + ), + fields={'text': 'text'} + ), + 'single_student_docs_by_ids': q.select( + q.keys( + 'writing_observer.reconstruct', + scope_fields={ + "student": q.parameter("student_id", required=True), + "doc_id": q.parameter("document", default=[]) + } + ), + fields={'text': 'text'} + ), + 'single_student_nlp': process_texts( + writing_data=q.variable('single_student_docs_by_ids'), + options=q.parameter('nlp_options', required=False, default=[]) + ), "doc_ids": q.select(q.keys('writing_observer.last_document', STUDENTS=q.variable("roster"), STUDENTS_path='user_id'), fields={'document_id': 'doc_id'}), 'update_docs': update_via_google(runtime=q.parameter("runtime"), doc_ids=q.variable('doc_sources')), - "docs": q.select(q.keys('writing_observer.reconstruct', STUDENTS=q.variable("roster"), STUDENTS_path='user_id', RESOURCES=q.variable("update_docs"), RESOURCES_path='doc_id'), fields={'text': 'text'}), + "docs_combined": q.join(LEFT=q.variable("docs"), RIGHT=q.variable("roster"), LEFT_ON='provenance.provenance.STUDENT.value.user_id', RIGHT_ON='user_id'), + "paste_metrics": q.select(q.keys('writing_observer.lo_paste_reducer', STUDENTS=q.variable("roster"), STUDENTS_path='user_id', RESOURCES=q.variable("doc_sources"), RESOURCES_path='doc_id'), fields={'pastes_with_length': 'pastes_with_length', 'length_bins': 'length_bins', 'total_paste_chars': 'total_paste_chars'}), + "copy_cut_metrics": q.select(q.keys('writing_observer.lo_copy_cut_reducer', STUDENTS=q.variable("roster"), STUDENTS_path='user_id', RESOURCES=q.variable("doc_sources"), RESOURCES_path='doc_id'), fields={'copy_count': 'copy_count'}), 'nlp': process_texts(writing_data=q.variable('docs'), options=q.parameter('nlp_options', required=False, default=[])), 'nlp_sep_proc': q.select(q.keys('writing_observer.nlp_components', STUDENTS=q.variable('roster'), STUDENTS_path='user_id', RESOURCES=q.variable("doc_ids"), RESOURCES_path='doc_id'), fields='All'), 'nlp_combined': q.join(LEFT=q.variable(nlp_source), LEFT_ON='provenance.provenance.STUDENT.value.user_id', RIGHT=q.variable('roster'), RIGHT_ON='user_id'), # error dashboard activity map nodes - 'time_on_task': q.select(q.keys('writing_observer.time_on_task', STUDENTS=q.variable("roster"), STUDENTS_path='user_id', RESOURCES=q.variable("doc_sources"), RESOURCES_path='doc_id'), fields={'saved_ts': 'last_ts'}), + 'time_on_task': q.select(q.keys('writing_observer.time_on_task', STUDENTS=q.variable("roster"), STUDENTS_path='user_id', RESOURCES=q.variable("doc_sources"), RESOURCES_path='doc_id'), fields={'saved_ts': 'last_ts', 'total_time_on_task': 'time_on_task'}), 'activity_map': q.map(determine_activity, q.variable('time_on_task'), value_path='last_ts'), - 'activity_combined': q.join(LEFT=q.variable('activity_map'), LEFT_ON='provenance.value.provenance.provenance.STUDENT.value.user_id', RIGHT=q.variable('roster'), RIGHT_ON='user_id'), # single student language tool nodes 'single_student_latest_doc': q.select(q.keys('writing_observer.last_document', STUDENTS=q.parameter("student_id", required=True), STUDENTS_path='user_id'), fields={'document_id': 'doc_id'}), 'single_timestamped_docs': q.select(q.keys('writing_observer.document_access_timestamps', STUDENTS=q.parameter("student_id", required=True), STUDENTS_path='user_id'), fields={'timestamps': 'timestamps'}), @@ -122,18 +202,32 @@ 'tagged_doc_list': q.join(LEFT=q.variable('unwind_tags'), RIGHT=q.variable('unwind_doc_list'), LEFT_ON='doc_id', RIGHT_ON='doc.id'), 'grouped_doc_list_by_student': group_docs_by(items=q.variable('tagged_doc_list'), value_path='provenance.provenance.value.user_id'), 'tagged_docs_per_student': q.join(LEFT=q.variable('roster'), RIGHT=q.variable('grouped_doc_list_by_student'), LEFT_ON='user_id', RIGHT_ON='user_id'), + # Student document list + 'document_list': q.select(q.keys('writing_observer.document_list', STUDENTS=q.variable('roster'), STUDENTS_path='user_id'), fields={'docs': 'availableDocuments'}), # the following nodes just fetches docs related to an assignment on Google Classroom - 'assignment_docs': assignment_documents(runtime=q.parameter('runtime'), course_id=q.parameter('course_id', required=True), assignment_id=q.parameter('assignment_id', required=True)), + 'assignment_docs': assignment_documents(runtime=q.parameter('runtime'), course_id=q.parameter('course_id', required=True), kwargs=q.parameter('doc_source_kwargs')), # fetch the doc less than or equal to a timestamp 'timestamped_docs': q.select(q.keys('writing_observer.document_access_timestamps', STUDENTS=q.variable('roster'), STUDENTS_path='user_id'), fields={'timestamps': 'timestamps'}), - 'docs_at_ts': document_access_ts(overall_timestamps=q.variable('timestamped_docs'), requested_timestamp=q.parameter('requested_timestamp')), + 'docs_at_ts': document_access_ts(overall_timestamps=q.variable('timestamped_docs'), kwargs=q.parameter('doc_source_kwargs')), + + # fetch the latest matching document by title text + 'raw_doc_lists': q.select(q.keys('writing_observer.document_list', STUDENTS=q.variable('roster'), STUDENTS_path='user_id'), fields={'docs': 'docs'}), + 'docs_by_title_text': document_by_title_text(document_lists=q.variable('raw_doc_lists'), kwargs=q.parameter('doc_source_kwargs')), # figure out where to source document ids from # current options include `ts` for a given timestamp # or `latest` for the most recently accessed - 'doc_sources': source_selector(sources={'ts': q.variable('docs_at_ts'), 'latest': q.variable('doc_ids')}, source=q.parameter('doc_source', required=False, default='latest')), + 'doc_sources': document_sources, + 'gpt_map': q.map( + gpt_bulk_essay, + values=q.variable('docs'), + value_path='text', + func_kwargs={'prompt': q.parameter('gpt_prompt'), 'system_prompt': q.parameter('system_prompt'), 'tags': q.parameter('tags', required=False, default={})}, + parallel=True + ), + 'gpt_bulk': q.join(LEFT=q.variable('gpt_map'), LEFT_ON='provenance.provenance.provenance.STUDENT.value.user_id', RIGHT=q.variable('roster'), RIGHT_ON='user_id'), }, "exports": { "docs_with_roster": { @@ -141,13 +235,73 @@ "parameters": ["course_id"], "output": "" }, + "paste_metrics": { + "returns": "paste_metrics", + "parameters": ["course_id"], + "output": "" + }, + "copy_cut_metrics": { + "returns": "copy_cut_metrics", + "parameters": ["course_id"], + "output": "" + }, + "roster": { + "returns": "roster_with_provenance", + "parameters": ["course_id"], + "output": "" + }, + "student_with_docs": { + "returns": "student_with_docs", + # "parameters": ["student_id"], + "output": "" + }, + "single_student_doc_by_id": { + "returns": "single_student_doc_by_id", + "parameters": ["student_id", "doc_ids"], + "output": "" + }, + "single_student_profile": { + "returns": "single_student_profile", + "parameters": ["student_id"], + "output": "" + }, + "single_student_all_reconstruct": { + "returns": "single_student_all_reconstruct", + "parameters": ["student_id"], + "output": "" + }, + "single_student_docs_with_nlp_annotations": { + "returns": "single_student_nlp", + "parameters": ["student_id", "document", "nlp_options"], + "output": "" + }, + "document_list": { + "returns": "document_list", + "parameters": ["course_id"], + "output": "" + }, + "document_sources": { + "returns": "doc_sources", + "parameters": ["course_id"], + "output": "" + }, + 'gpt_bulk': { + 'returns': 'gpt_bulk', + 'parameters': ['course_id', 'gpt_prompt', 'system_prompt'], + 'output': '' + }, "docs_with_nlp_annotations": { "returns": "nlp_combined", "parameters": ["course_id", "nlp_options"], "output": "" }, "activity": { - "returns": "activity_combined", + "returns": "activity_map", + "parameters": ["course_id"], + "output": "" + }, + "time_on_task": { + "returns": "time_on_task", "parameters": ["course_id"], "output": "" }, @@ -165,10 +319,6 @@ 'returns': 'tagged_docs_per_student', 'parameters': ['course_id', 'tag_path'] }, - 'assignment_docs': { - 'returns': 'assignment_docs', - 'parameters': ['course_id', 'assignment_id'] - }, 'latest_doc_ids': { 'returns': 'latest_doc_ids', 'parameters': ['course_id'] @@ -219,7 +369,25 @@ { 'context': "org.mitros.writing_analytics", 'scope': writing_observer.writing_analysis.gdoc_scope, - 'function': writing_observer.writing_analysis.time_on_task, + 'function': writing_observer.writing_analysis.lo_paste_reducer, + 'default': writing_observer.copy_paste_utils.default_paste_state() + }, + { + 'context': "org.mitros.writing_analytics", + 'scope': writing_observer.writing_analysis.gdoc_scope, + 'function': writing_observer.writing_analysis.lo_copy_cut_reducer, + 'default': writing_observer.copy_paste_utils.default_copy_cut_state() + }, + { + 'context': "org.mitros.writing_analytics", + 'scope': writing_observer.writing_analysis.gdoc_scope, + 'function': writing_observer.writing_analysis.gdoc_scope_time_on_task, + 'default': {'saved_ts': 0} + }, + { + 'context': "org.mitros.writing_analytics", + 'scope': writing_observer.writing_analysis.gdoc_tab_scope, + 'function': writing_observer.writing_analysis.gdoc_tab_scope_time_on_task, 'default': {'saved_ts': 0} }, { @@ -244,6 +412,12 @@ 'function': writing_observer.writing_analysis.document_list, 'default': {'docs': []} }, + { + 'context': "org.mitros.writing_analytics", + 'scope': writing_observer.writing_analysis.gdoc_scope, + 'function': writing_observer.writing_analysis.tab_list, + 'default': {'tabs': {}} + }, { 'context': "org.mitros.writing_analytics", 'scope': writing_observer.writing_analysis.student_scope, @@ -274,6 +448,11 @@ 'function': writing_observer.writing_analysis.languagetool_process, 'default': {'text': '', 'category_counts': {}, 'matches': [], 'subcategory_counts': {}, 'wordcounts': {}} }, + { + 'context': "org.mitros.writing_analytics", + 'scope': writing_observer.writing_analysis.student_scope, + 'function': writing_observer.writing_analysis.student_profile, + } ] @@ -300,7 +479,7 @@ STATIC_FILE_GIT_REPOS = { 'writing_observer': { # Where we can grab a copy of the repo, if not already on the system - 'url': 'https://github.com/ETS-Next-Gen/writing_observer.git', + 'url': 'https://github.com/ArgLab/writing_observer.git', # Where the static files in the repo lie 'prefix': 'modules/writing_observer/writing_observer/static', # Branches we serve. This can either be a whitelist (e.g. which ones diff --git a/modules/writing_observer/writing_observer/nlp_indicators.py b/modules/writing_observer/writing_observer/nlp_indicators.py index f3468e761..38c307fdc 100644 --- a/modules/writing_observer/writing_observer/nlp_indicators.py +++ b/modules/writing_observer/writing_observer/nlp_indicators.py @@ -21,92 +21,92 @@ # filter (if needed), summary function to use SPAN_INDICATORS = [ # language - ('Academic Language', 'Token', 'is_academic', None, 'percent'), - ('Informal Language', 'Token', 'vwp_interactive', None, 'percent'), - ('Latinate Words', 'Token', 'is_latinate', None, 'percent'), - ('Opinion Words', 'Token', 'vwp_evaluation', None, 'total'), - ('Emotion Words', 'Token', 'vwp_emotionword', None, 'percent'), + ('Academic Language', 'Token', 'is_academic', None, 'percent', 'language'), + ('Informal Language', 'Token', 'vwp_interactive', None, 'percent', 'language'), + ('Latinate Words', 'Token', 'is_latinate', None, 'percent', 'language'), + ('Opinion Words', 'Token', 'vwp_evaluation', None, 'total', 'language'), + ('Emotion Words', 'Token', 'vwp_emotionword', None, 'percent', 'language'), # vwp_emotion_states looks for noun/emotion word pairs (takes a lot of resources) - ignoring for now # Argumentation # ('Argumentation', 'Token', 'vwp_argumentation', None, 'percent'), # most resource heavy - ignoring for now - ('Argument Words', 'Token', 'vwp_argumentword', None, 'percent'), # more surfacey # TODO needs new label - ('Explicit argument', 'Token', 'vwp_explicit_argument', None, 'percent'), # surfacey # TODO needs new label + ('Argument Words', 'Token', 'vwp_argumentword', None, 'percent', 'argumentation'), # more surfacey # TODO needs new label + ('Explicit argument', 'Token', 'vwp_explicit_argument', None, 'percent', 'argumentation'), # surfacey # TODO needs new label # statements - ('Statements of Opinion', 'Doc', 'vwp_statements_of_opinion', None, 'percent'), - ('Statements of Fact', 'Doc', 'vwp_statements_of_fact', None, 'percent'), + ('Statements of Opinion', 'Doc', 'vwp_statements_of_opinion', None, 'percent', 'statements'), + ('Statements of Fact', 'Doc', 'vwp_statements_of_fact', None, 'percent', 'statements'), # Transitions # eventually we want to exclude \n\n as transitions using `[('!=', ['introductory'])]` # however the introductory category also includes "let us" and "let's" # no highlighting is shown on the new lines, so we won't remove it for now. - ('Transition Words', 'Doc', 'transitions', None, 'counts'), + ('Transition Words', 'Doc', 'transitions', None, 'counts', 'transitions'), # - ('Positive Transition Words', 'Doc', 'transitions', [('==', ['positive'])], 'total'), - ('Conditional Transition Words', 'Doc', 'transitions', [('==', ['conditional'])], 'total'), - ('Consequential Transition Words', 'Doc', 'transitions', [('==', ['consequential'])], 'total'), - ('Contrastive Transition Words', 'Doc', 'transitions', [('==', ['contrastive'])], 'total'), - ('Counterpoint Transition Words', 'Doc', 'transitions', [('==', ['counterpoint'])], 'total'), - ('Comparative Transition Words', 'Doc', 'transitions', [('==', ['comparative'])], 'total'), - ('Cross Referential Transition Words', 'Doc', 'transitions', [('==', ['crossreferential'])], 'total'), - ('Illustrative Transition Words', 'Doc', 'transitions', [('==', ['illustrative'])], 'total'), - ('Negative Transition Words', 'Doc', 'transitions', [('==', ['negative'])], 'total'), - ('Emphatic Transition Words', 'Doc', 'transitions', [('==', ['emphatic'])], 'total'), - ('Evenidentiary Transition Words', 'Doc', 'transitions', [('==', ['evidentiary'])], 'total'), - ('General Transition Words', 'Doc', 'transitions', [('==', ['general'])], 'total'), - ('Ordinal Transition Words', 'Doc', 'transitions', [('==', ['ordinal'])], 'total'), - ('Purposive Transition Words', 'Doc', 'transitions', [('==', ['purposive'])], 'total'), - ('Periphrastic Transition Words', 'Doc', 'transitions', [('==', ['periphrastic'])], 'total'), - ('Hypothetical Transition Words', 'Doc', 'transitions', [('==', ['hypothetical'])], 'total'), - ('Summative Transition Words', 'Doc', 'transitions', [('==', ['summative'])], 'total'), - ('Introductory Transition Words', 'Doc', 'transitions', [('==', ['introductory'])], 'total'), + ('Positive Transition Words', 'Doc', 'transitions', [('==', ['positive'])], 'total', 'transitions'), + ('Conditional Transition Words', 'Doc', 'transitions', [('==', ['conditional'])], 'total', 'transitions'), + ('Consequential Transition Words', 'Doc', 'transitions', [('==', ['consequential'])], 'total', 'transitions'), + ('Contrastive Transition Words', 'Doc', 'transitions', [('==', ['contrastive'])], 'total', 'transitions'), + ('Counterpoint Transition Words', 'Doc', 'transitions', [('==', ['counterpoint'])], 'total', 'transitions'), + ('Comparative Transition Words', 'Doc', 'transitions', [('==', ['comparative'])], 'total', 'transitions'), + ('Cross Referential Transition Words', 'Doc', 'transitions', [('==', ['crossreferential'])], 'total', 'transitions'), + ('Illustrative Transition Words', 'Doc', 'transitions', [('==', ['illustrative'])], 'total', 'transitions'), + ('Negative Transition Words', 'Doc', 'transitions', [('==', ['negative'])], 'total', 'transitions'), + ('Emphatic Transition Words', 'Doc', 'transitions', [('==', ['emphatic'])], 'total', 'transitions'), + ('Evenidentiary Transition Words', 'Doc', 'transitions', [('==', ['evidentiary'])], 'total', 'transitions'), + ('General Transition Words', 'Doc', 'transitions', [('==', ['general'])], 'total', 'transitions'), + ('Ordinal Transition Words', 'Doc', 'transitions', [('==', ['ordinal'])], 'total', 'transitions'), + ('Purposive Transition Words', 'Doc', 'transitions', [('==', ['purposive'])], 'total', 'transitions'), + ('Periphrastic Transition Words', 'Doc', 'transitions', [('==', ['periphrastic'])], 'total', 'transitions'), + ('Hypothetical Transition Words', 'Doc', 'transitions', [('==', ['hypothetical'])], 'total', 'transitions'), + ('Summative Transition Words', 'Doc', 'transitions', [('==', ['summative'])], 'total', 'transitions'), + ('Introductory Transition Words', 'Doc', 'transitions', [('==', ['introductory'])], 'total', 'transitions'), # pos_ - ('Adjectives', 'Token', 'pos_', [('==', ['ADJ'])], 'total'), - ('Adverbs', 'Token', 'pos_', [('==', ['ADV'])], 'total'), - ('Nouns', 'Token', 'pos_', [('==', ['NOUN'])], 'total'), - ('Proper Nouns', 'Token', 'pos_', [('==', ['PROPN'])], 'total'), - ('Verbs', 'Token', 'pos_', [('==', ['VERB'])], 'total'), - ('Numbers', 'Token', 'pos_', [('==', ['NUM'])], 'total'), - ('Prepositions', 'Token', 'pos_', [('==', ['ADP'])], 'total'), - ('Coordinating Conjunction', 'Token', 'pos_', [('==', ['CCONJ'])], 'total'), - ('Subordinating Conjunction', 'Token', 'pos_', [('==', ['SCONJ'])], 'total'), - ('Auxiliary Verb', 'Token', 'pos_', [('==', ['AUX'])], 'total'), - ('Pronoun', 'Token', 'pos_', [('==', ['PRON'])], 'total'), + ('Adjectives', 'Token', 'pos_', [('==', ['ADJ'])], 'total', 'pos'), + ('Adverbs', 'Token', 'pos_', [('==', ['ADV'])], 'total', 'pos'), + ('Nouns', 'Token', 'pos_', [('==', ['NOUN'])], 'total', 'pos'), + ('Proper Nouns', 'Token', 'pos_', [('==', ['PROPN'])], 'total', 'pos'), + ('Verbs', 'Token', 'pos_', [('==', ['VERB'])], 'total', 'pos'), + ('Numbers', 'Token', 'pos_', [('==', ['NUM'])], 'total', 'pos'), + ('Prepositions', 'Token', 'pos_', [('==', ['ADP'])], 'total', 'pos'), + ('Coordinating Conjunction', 'Token', 'pos_', [('==', ['CCONJ'])], 'total', 'pos'), + ('Subordinating Conjunction', 'Token', 'pos_', [('==', ['SCONJ'])], 'total', 'pos'), + ('Auxiliary Verb', 'Token', 'pos_', [('==', ['AUX'])], 'total', 'pos'), + ('Pronoun', 'Token', 'pos_', [('==', ['PRON'])], 'total', 'pos'), # sentence variety # The general 'Sentence Types' will return a complex object of all sentence types # that we do not yet handle. # ('Sentence Types', 'Doc', 'sentence_types', None, 'counts'), - ('Simple Sentences', 'Doc', 'sentence_types', [('==', ['Simple'])], 'total'), - ('Simple with Complex Predicates', 'Doc', 'sentence_types', [('==', ['SimpleComplexPred'])], 'total'), - ('Simple with Compound Predicates', 'Doc', 'sentence_types', [('==', ['SimpleCompoundPred'])], 'total'), - ('Simple with Compound Complex Predicates', 'Doc', 'sentence_types', [('==', ['SimpleCompoundComplexPred'])], 'total'), - ('Compound Sentences', 'Doc', 'sentence_types', [('==', ['Compound'])], 'total'), - ('Complex Sentences', 'Doc', 'sentence_types', [('==', ['Complex'])], 'total'), - ('Compound Complex Sentences', 'Doc', 'sentence_types', [('==', ['CompoundComplex'])], 'total'), + ('Simple Sentences', 'Doc', 'sentence_types', [('==', ['Simple'])], 'total', 'sentence_type'), + ('Simple with Complex Predicates', 'Doc', 'sentence_types', [('==', ['SimpleComplexPred'])], 'total', 'sentence_type'), + ('Simple with Compound Predicates', 'Doc', 'sentence_types', [('==', ['SimpleCompoundPred'])], 'total', 'sentence_type'), + ('Simple with Compound Complex Predicates', 'Doc', 'sentence_types', [('==', ['SimpleCompoundComplexPred'])], 'total', 'sentence_type'), + ('Compound Sentences', 'Doc', 'sentence_types', [('==', ['Compound'])], 'total', 'sentence_type'), + ('Complex Sentences', 'Doc', 'sentence_types', [('==', ['Complex'])], 'total', 'sentence_type'), + ('Compound Complex Sentences', 'Doc', 'sentence_types', [('==', ['CompoundComplex'])], 'total', 'sentence_type'), # Sources/Attributes/Citations/Quotes - ('Information Sources', 'Token', 'vwp_source', None, 'percent'), - ('Attributions', 'Token', 'vwp_attribution', None, 'percent'), - ('Citations', 'Token', 'vwp_cite', None, 'percent'), - ('Quoted Words', 'Token', 'vwp_quoted', None, 'percent'), + ('Information Sources', 'Token', 'vwp_source', None, 'percent', 'source_information'), + ('Attributions', 'Token', 'vwp_attribution', None, 'percent', 'source_information'), + ('Citations', 'Token', 'vwp_cite', None, 'percent', 'source_information'), + ('Quoted Words', 'Token', 'vwp_quoted', None, 'percent', 'source_information'), # Dialogue - ('Direct Speech Verbs', 'Doc', 'vwp_direct_speech', None, 'percent'), - ('Indirect Speech', 'Token', 'vwp_in_direct_speech', None, 'percent'), + ('Direct Speech Verbs', 'Doc', 'vwp_direct_speech', None, 'percent', 'dialogue'), + ('Indirect Speech', 'Token', 'vwp_in_direct_speech', None, 'percent', 'dialogue'), # vwp_quoted - already used above # tone - ('Positive Tone', 'Token', 'vwp_tone', [('>', [.4])], 'percent'), - ('Negative Tone', 'Token', 'vwp_tone', [('<', [-.4])], 'percent'), + ('Positive Tone', 'Token', 'vwp_tone', [('>', [.4])], 'percent', 'tone'), + ('Negative Tone', 'Token', 'vwp_tone', [('<', [-.4])], 'percent', 'tone'), # details - ('Concrete Details', 'Token', 'concrete_details', None, 'percent'), - ('Main Idea Sentences', 'Doc', 'main_ideas', None, 'total'), - ('Supporting Idea Sentences', 'Doc', 'supporting_ideas', None, 'total'), - ('Supporting Detail Sentences', 'Doc', 'supporting_details', None, 'total'), + ('Concrete Details', 'Token', 'concrete_details', None, 'percent', 'details'), + ('Main Idea Sentences', 'Doc', 'main_ideas', None, 'total', 'details'), + ('Supporting Idea Sentences', 'Doc', 'supporting_ideas', None, 'total', 'details'), + ('Supporting Detail Sentences', 'Doc', 'supporting_details', None, 'total', 'details'), # Other items - ('Polysyllabic Words', 'Token', 'nSyll', [('>', [3])], 'percent'), - ('Low Frequency Words', 'Token', 'max_freq', [('<', [4])], 'percent'), - ('Sentences', 'Doc', 'sents', None, 'total'), - ('Paragraphs', 'Doc', 'delimiter_\n', None, 'total'), - ('Character Trait Words', 'Token', 'vwp_character', None, 'percent'), - ('In Past Tense', 'Token', 'in_past_tense_scope', None, 'percent'), - ('Explicit Claims', 'Doc', 'vwp_propositional_attitudes', None, 'percent'), - ('Social Awareness', 'Doc', 'vwp_social_awareness', None, 'percent') + ('Polysyllabic Words', 'Token', 'nSyll', [('>', [3])], 'percent', 'other'), + ('Low Frequency Words', 'Token', 'max_freq', [('<', [4])], 'percent', 'other'), + ('Sentences', 'Doc', 'sents', None, 'total', 'other'), + ('Paragraphs', 'Doc', 'delimiter_\n', None, 'total', 'other'), + ('Character Trait Words', 'Token', 'vwp_character', None, 'percent', 'other'), + ('In Past Tense', 'Token', 'in_past_tense_scope', None, 'percent', 'other'), + ('Explicit Claims', 'Doc', 'vwp_propositional_attitudes', None, 'percent', 'other'), + ('Social Awareness', 'Doc', 'vwp_social_awareness', None, 'percent', 'other') ] # Create indicator dict to easily refer to each tuple above by name @@ -125,8 +125,23 @@ class NLPIndicators(dataobject): parent: str filters: list function: str + category: str # tooltip: str indicators = map(lambda ind: NLPIndicators(*ind), INDICATOR_W_IDS) INDICATOR_JSONS = [asdict(ind) for ind in indicators] + +INDICATOR_CATEGORIES = { + 'language': 'Language', + 'argumentation': 'Argumentation', + 'statements': 'Statements', + 'transitions': 'Transition Words', + 'pos': 'Parts of Speech', + 'sentence_type': 'Sentence Types', + 'source_information': 'Source Information', + 'dialogue': 'Dialogue', + 'tone': 'Tone', + 'details': 'Details', + 'other': 'Other' +} diff --git a/modules/writing_observer/writing_observer/reconstruct_doc.py b/modules/writing_observer/writing_observer/reconstruct_doc.py index ab609fe8e..39cb57328 100644 --- a/modules/writing_observer/writing_observer/reconstruct_doc.py +++ b/modules/writing_observer/writing_observer/reconstruct_doc.py @@ -14,13 +14,13 @@ when there's a mismatch between the index and the length of the document's text (doc._text). In an empty document, the insertion index (from the insert event `is`) is 1. However, when the extension is started on a non-empty document, the first insertion index will be -greater than 1. This can lead to inconsistencies in indexing. -This placeholder is used to fill the 'gap' between len(doc._text) and the first insertion -index recorded in the logs. +greater than 1. This can lead to inconsistencies in indexing. +This placeholder is used to fill the 'gap' between len(doc._text) and the first insertion +index recorded in the logs. This is done for the delete event ('ds') as well. -Say the first insert event in the logs is of a character 'a' with an index of 10 . +Say the first insert event in the logs is of a character 'a' with an index of 10. This placeholder will be used to fill the gap between 1 and 10. Internally doc._text will -have 10 characters and when returning the output, all placeholders will be removed from +have 10 characters and when returning the output, all placeholders will be removed from doc._text leaving only the character 'a'. """ PLACEHOLDER = '\x00' @@ -40,6 +40,7 @@ def __new__(cls): new_object._text = "" new_object._position = 0 new_object._edit_metadata = {} + new_object._tabs = {} new_object.fix_validity() return new_object @@ -100,6 +101,14 @@ def from_json(json_rep): new_object._text = json_rep.get('text', '') new_object._position = json_rep.get('position', 0) new_object._edit_metadata = json_rep.get('edit_metadata', {}) + + if 'tabs' in json_rep and json_rep['tabs']: + new_object._tabs = {} + for tab_id, tab_data in json_rep['tabs'].items(): + new_object._tabs[tab_id] = google_text.from_json(tab_data) + else: + new_object._tabs = {} + new_object.fix_validity() return new_object @@ -155,17 +164,30 @@ def json(self): ''' This serializes to JSON. ''' - return { + result = { 'text': self._text, 'position': self._position, 'edit_metadata': self._edit_metadata } + if self._tabs: + result['tabs'] = {tab_id: tab.json for tab_id, tab in self._tabs.items()} + return result - def get_parsed_text(self): - ''' - Returns the text ignoring the normal placeholders - ''' - return self._text.replace(PLACEHOLDER, "") + +def get_parsed_text(self): + ''' + Returns the text ignoring the normal placeholders + ''' + return self._text.replace(PLACEHOLDER, "") + + +def dispatch_command(doc, cmd): + if cmd['ty'] in dispatch: + doc = dispatch[cmd['ty']](doc, **cmd) + else: + print("Unrecogized Google Docs command: " + repr(cmd['ty'])) + # TODO: Log issue and fix it! + return doc def command_list(doc, commands): @@ -175,11 +197,7 @@ def command_list(doc, commands): new `save` requests. ''' for item in commands: - if item['ty'] in dispatch: - doc = dispatch[item['ty']](doc, **item) - else: - print("Unrecogized Google Docs command: " + repr(item['ty'])) - # TODO: Log issue and fix it! + doc = dispatch_command(doc, item) return doc @@ -207,7 +225,6 @@ def insert(doc, ty, ibi, s): # This occurs when the document has undergone modifications before the logger has been initialized if ibi > nextchar_index: insert(doc, ty, nextchar_index, PLACEHOLDER * (ibi - nextchar_index)) - doc.update("{start}{insert}{end}".format( start=doc._text[0:ibi - 1], insert=s, @@ -234,7 +251,6 @@ def delete(doc, ty, si, ei): insert(doc, ty, lastchar_index + 1, PLACEHOLDER * (si - lastchar_index)) if ei > lastchar_index: insert(doc, ty, lastchar_index + 1, PLACEHOLDER * (ei - lastchar_index)) - doc.update("{start}{end}".format( start=doc._text[0:si - 1], end=doc._text[ei:] @@ -245,6 +261,43 @@ def delete(doc, ty, si, ei): return doc +def replace(doc, ty, snapshot): + for entry in snapshot: + + # The index of the next character after the last + # character of the text + nextchar_index = len(doc._text) + 1 + if 'ty' in entry and entry['ty'] == 'is': + + s = entry['s'] + ibi = entry['ibi'] + if 'sl' in entry: + sl = entry['sl'] + else: + sl = len(s) + + # If the insert index is greater than + # nextchar_index, insert placeholders + # to fill the gap. + # + # This occurs when the document has undergone + # modifications before the logger has been + # initialized + if ibi > nextchar_index: + insert(doc, + ty, + nextchar_index, + PLACEHOLDER * (ibi - nextchar_index)) + + doc.update("{start}{insert}{end}".format( + start=doc._text[0:ibi - 1], + insert=s, + end=doc._text[ibi + sl - 1:] + )) + + return doc + + def alter(doc, si, ei, st, sm, ty): ''' Alter commands change formatting. @@ -265,23 +318,85 @@ def null(doc, **kwargs): return doc +def nm(doc, nmc, nmr, **kwargs): + ''' + Handle named commands for tabs (sub-documents). + + * `nmc` is the command to execute + * `nmr` is the name/reference list, which contains the target tab ID + ''' + # Find the target tab from the nmr list + target_tab = None + for item in reversed(nmr or []): + if isinstance(item, str) and item.startswith("t."): + target_tab = item + break + + if target_tab is None: + # No tab specified, apply to main document + doc = dispatch_command(doc, nmc) + else: + # Ensure the tab exists + if target_tab not in doc._tabs: + doc._tabs[target_tab] = google_text() + + # Apply the command to the sub-document + doc._tabs[target_tab] = dispatch_command(doc._tabs[target_tab], nmc) + + return doc + + # This dictionary maps the `ty` parameter to the function which # handles data of that type. # TODO: `ae,``ue,` `de,` and `te` need to be # reverse-engineered. These happens if we e.g. make a new bullet # list, or add an image. + +# TODO: 'iss' and 'dss' are generated when suggested text is inserted or deleted. +# these can't be handled like plain 'is' or 'ds' because the include different fields +# (e.g., 'sugid', presumably, suggestion id.) dispatch = { + 'ac': null, # new tab title 'ae': null, + 'ase': null, # suggestion + 'ast': null, # suggestion. Image? + 'astss': null, # suggestion. Autospell? 'ue': null, 'de': null, + 'dse': null, # suggestion + 'dss': null, # suggested deletion 'te': null, 'as': alter, 'ds': delete, 'is': insert, + 'iss': null, # suggested insertion + 'mefd': null, # suggestion + 'mkch': null, # name of the first tab 'mlti': multi, + 'msfd': null, # suggestion + 'nm': nm, # named command for tabs 'null': null, + 'ord': null, + 'ras': null, # suggestion. Autospell? + 'rplc': replace, # rplc is called as the first edit + # when the document is created from + # a template, so if you want to know + # what text was NOT written by the author, + # logging the text buffer after the initial + # rplc action will give you that. + 'rte': null, # suggestion + 'rue': null, # suggestion + 'rvrt': replace, # apparently logged after an undo + 'sas': null, # suggestion. Autospell? 'sl': null, + 'ste': null, # suggestion + 'sue': null, # suggestion + 'ucp': null, # updated tab title + 'uefd': null, # suggestion + 'use': null, # suggestion + 'umv': null, + 'usfd': null, # suggestion } if __name__ == '__main__': @@ -292,4 +407,4 @@ def null(doc, **kwargs): doc = command_list(doc, docs_history_short) print(doc) print(doc.position) - print(doc.edit_metadata) \ No newline at end of file + print(doc.edit_metadata) diff --git a/modules/writing_observer/writing_observer/stub_nlp.py b/modules/writing_observer/writing_observer/stub_nlp.py index bca9c352b..a9ce89811 100644 --- a/modules/writing_observer/writing_observer/stub_nlp.py +++ b/modules/writing_observer/writing_observer/stub_nlp.py @@ -137,7 +137,7 @@ async def process_texts(writing_data, options=None): if option not in writing_observer.nlp_indicators.INDICATORS: continue indicator = writing_observer.nlp_indicators.INDICATORS[option] - (id, label, infoType, select, filterInfo, summaryType) = indicator + (id, label, infoType, select, filterInfo, summaryType, category) = indicator results[id] = {} state = random.getstate() random.seed(id) diff --git a/modules/writing_observer/writing_observer/writing_analysis.py b/modules/writing_observer/writing_observer/writing_analysis.py index c2cb9b33b..e5cde008a 100644 --- a/modules/writing_observer/writing_observer/writing_analysis.py +++ b/modules/writing_observer/writing_observer/writing_analysis.py @@ -11,11 +11,13 @@ import re import time +import writing_observer.copy_paste_utils import writing_observer.reconstruct_doc import learning_observer.adapters import learning_observer.communication_protocol.integration from learning_observer.stream_analytics.helpers import student_event_reducer, kvs_pipeline, KeyField, EventField, Scope +import learning_observer.stream_analytics.time_on_task import learning_observer.settings import learning_observer.util @@ -78,6 +80,8 @@ else: gdoc_scope = student_scope # HACK for backwards-compatibility +gdoc_tab_scope = Scope([KeyField.STUDENT, EventField('doc_id'), EventField('tab_id')]) + @learning_observer.communication_protocol.integration.publish_function('writing_observer.activity_map') def determine_activity_status(last_ts): @@ -85,7 +89,6 @@ def determine_activity_status(last_ts): return {'status': status} -@kvs_pipeline(scope=gdoc_scope) async def time_on_task(event, internal_state): ''' This adds up time intervals between successive timestamps. If the interval @@ -93,64 +96,16 @@ async def time_on_task(event, internal_state): goes away for 2 hours without typing, we only add e.g. 5 minutes if `time_threshold` is set to 300. ''' - if internal_state is None: - internal_state = { - 'saved_ts': None, - 'total_time_on_task': 0 - } - last_ts = internal_state['saved_ts'] - internal_state['saved_ts'] = event['server']['time'] - - # Initial conditions - if last_ts is None: - last_ts = internal_state['saved_ts'] - if last_ts is not None: - delta_t = min( - learning_observer.settings.module_setting('writing_obersver', 'time_on_task_threshold'), # Maximum time step - internal_state['saved_ts'] - last_ts # Time step - ) - internal_state['total_time_on_task'] += delta_t - return internal_state, internal_state - - -def _get_time_delta(last_event_timestamp, current_event_timestamp): - return min( - learning_observer.settings.module_setting('writing_obersver', 'time_on_task_threshold'), # Maximum time step - last_event_timestamp - current_event_timestamp # Time step + internal_state = learning_observer.stream_analytics.time_on_task.apply_time_on_task( + internal_state, + event['server']['time'], + learning_observer.settings.module_setting('writing_obersver', 'time_on_task_threshold') ) + return internal_state, internal_state -def _get_time_bin(timestamp): - bin_size = learning_observer.settings.module_setting('writing_obersver', 'binned_time_on_task_bin_size') - b = (timestamp // bin_size) * bin_size - b = int(b) - return b - - -def _update_binned_time_on_task(internal_state, current_bin, last_timestamp, delta_time): - '''Handle updating the internal state for binned time on task. - ''' - next_bin = current_bin + learning_observer.settings.module_setting('writing_obersver', 'binned_time_on_task_bin_size') - next_bin_str = str(next_bin) - - # default current_bin to 0 if it doesn't exist - current_bin_str = str(current_bin) - if current_bin_str not in internal_state['binned_time_on_task']: - internal_state['binned_time_on_task'][current_bin_str] = 0 - - # time-on-task overflows to the next bin - # first add a portion of the time to the current bin - # default the next bin to 0 if it doesn't exist - # add remaining time to next bin - if last_timestamp + delta_time >= next_bin: - internal_state['binned_time_on_task'][current_bin_str] += next_bin - last_timestamp - if next_bin_str not in internal_state['binned_time_on_task']: - internal_state['binned_time_on_task'][next_bin_str] = 0 - internal_state['binned_time_on_task'][next_bin_str] += last_timestamp + delta_time - next_bin - # process normal within bin time on task update - else: - internal_state['binned_time_on_task'][current_bin_str] += delta_time - +gdoc_scope_time_on_task = kvs_pipeline(scope=gdoc_scope)(time_on_task) +gdoc_tab_scope_time_on_task = kvs_pipeline(scope=gdoc_tab_scope)(time_on_task) @kvs_pipeline(scope=gdoc_scope) @@ -159,28 +114,12 @@ async def binned_time_on_task(event, internal_state): Similar to the `time_on_task` reducer defined above, except it bins the time spent. ''' - if internal_state is None: - internal_state = { - 'saved_ts': None, - 'binned_time_on_task': {}, - 'current_bin': None - } - last_timestamp = internal_state['saved_ts'] - current_bin = internal_state['current_bin'] - internal_state['saved_ts'] = event['server']['time'] - - # Initialization - if last_timestamp is None: - last_timestamp = internal_state['saved_ts'] - if current_bin is None: - current_bin = _get_time_bin(last_timestamp) - - if last_timestamp is not None: - delta_time = _get_time_delta(internal_state['saved_ts'], last_timestamp) - _update_binned_time_on_task(internal_state, current_bin, last_timestamp, delta_time) - - # update our current bin with the current event's timestamp - internal_state['current_bin'] = _get_time_bin(internal_state['saved_ts']) + internal_state = learning_observer.stream_analytics.time_on_task.apply_binned_time_on_task( + internal_state, + event['server']['time'], + learning_observer.settings.module_setting('writing_obersver', 'time_on_task_threshold'), + learning_observer.settings.module_setting('writing_obersver', 'binned_time_on_task_bin_size') + ) return internal_state, internal_state @@ -229,6 +168,40 @@ async def event_count(event, internal_state): return state, state +@kvs_pipeline( + scope=gdoc_scope, + null_state=writing_observer.copy_paste_utils.default_paste_state() +) +async def lo_paste_reducer(event, internal_state): + state = writing_observer.copy_paste_utils.update_paste_state(event, internal_state) + if not state: + return False, False + return state, state + + +@kvs_pipeline( + scope=gdoc_scope, + null_state=writing_observer.copy_paste_utils.default_copy_cut_state() +) +async def lo_copy_cut_reducer(event, internal_state): + state = writing_observer.copy_paste_utils.update_copy_cut_state(event, internal_state) + if not state: + return False, False + return state, state + + +@kvs_pipeline(scope=student_scope, null_state={}) +async def student_profile(event, internal_state): + '''Store profile information for a given id + ''' + email = event['client'].get('chrome_identity', {}).get('email') + id = event['client'].get('auth', {}).get('safe_user_id') + if email != internal_state.get('email') or id != internal_state.get('user_id'): + state = {'email': email, 'google_id': id} + return state, state + return False, False + + @kvs_pipeline(scope=gdoc_scope, null_state={}) async def nlp_components(event, internal_state): '''HACK the reducers need this method to query data @@ -332,6 +305,159 @@ async def document_list(event, internal_state): return False, False +def _iter_commands_from_client(client): + """Yield command dicts from either bundles (google_docs_save) or history (document_history).""" + event_type = client.get("event") + + if event_type == "google_docs_save": + for bundle in client.get("bundles") or []: + for command in bundle.get("commands") or []: + if isinstance(command, dict): + yield command + + elif event_type == "document_history": + history = client.get("history") or {} + changelog = history.get("changelog") or [] + # Each changelog item is expected to be like: [, ...] + for item in changelog: + if isinstance(item, (list, tuple)) and item and isinstance(item[0], dict): + yield item[0] + + +def _iter_leaf_commands(client): + for cmd in _iter_commands_from_client(client): + if not isinstance(cmd, dict): + continue + + if cmd.get("ty") == "mlti": + for sub in cmd.get("mts") or []: + if isinstance(sub, dict): + yield sub + else: + yield cmd + + +def _get_event_time(event, client): + """Resolve the timestamp once per event, with fallback.""" + server_time = (event.get("server") or {}).get("time") + if server_time is not None: + return server_time + return client.get("timestamp") or (client.get("metadata") or {}).get("ts") + + +def extract_from_ucp(command): + if command.get("ty") != "ucp": + return None, None + d = command.get("d") + try: + return d[0], d[1][1][1] + except (TypeError, IndexError, KeyError): + return None, None + + +def extract_from_mkch(command): + if command.get("ty") != "mkch": + return None, None + + d = command.get("d") + try: + return 't.0', d[0][1] + except (TypeError, IndexError, KeyError, AttributeError): + return None, None + + +def extract_from_ac(command): + if command.get("ty") != "ac": + return None, None + + d = command.get("d") + try: + return d[0], d[1][1] + except (TypeError, IndexError, KeyError, AttributeError): + return None, None + + +TITLE_EXTRACTORS = { + "ucp": extract_from_ucp, + "mkch": extract_from_mkch, + "ac": extract_from_ac, +} + + +def _extract_all_tab_titles(client): + """ + Extract all (tab_id, title) pairs from leaf commands (including those inside mlti). + """ + event_type = client.get("event") + if event_type not in ("google_docs_save", "document_history"): + return [] + + out = [] + for cmd in _iter_leaf_commands(client): + ty = cmd.get("ty") + extractor = TITLE_EXTRACTORS.get(ty) + if not extractor: + continue + tab_id, title = extractor(cmd) + if tab_id is None: + continue + out.append((tab_id, title)) + return out + + +def _extract_tab_id(event): + client = event.get("client", {}) or {} + tab_id = client.get("tab_id") or event.get("tab_id") + if tab_id: + return tab_id + url = client.get("url") or client.get("object", {}).get("url") or event.get("url") + if not url: + return None + match = re.search(r"tab=([^&#]+)", url) + return match.group(1) if match else None + + +@kvs_pipeline(scope=gdoc_scope, null_state={"tabs": {}}) +async def tab_list(event, internal_state): + """ + Track per-document tab metadata (tab_id, title, last_accessed) per student. + + Rules: + - If client.tab_id exists AND is already in state: ONLY update last_accessed for that tab. + - Still add new tabs discovered in commands (and set last_accessed for those new tabs). + - For existing tabs discovered in commands: update title if present, but do NOT touch last_accessed + unless it's the active existing tab (handled first). + """ + internal_state = internal_state or {"tabs": {}} + tabs = internal_state.get("tabs") or {} + + client = event.get("client") or {} + server_time = _get_event_time(event, client) + + active_tab_id = _extract_tab_id(event) + + # 1) Only bump last_accessed for the active tab IF it already exists in state + if active_tab_id is not None and active_tab_id in tabs: + tabs[active_tab_id]["last_accessed"] = server_time + + # 2) Add/update titles for all extracted tabs + for tab_id, title in _extract_all_tab_titles(client): + if tab_id not in tabs: + # New tab: initialize and set last_accessed now + tabs[tab_id] = { + "tab_id": tab_id, + "title": title, + "last_accessed": server_time, + } + else: + # Existing tab: update title if we learned one; do not update last_accessed here + if title is not None: + tabs[tab_id]["title"] = title + + internal_state["tabs"] = tabs + return internal_state, internal_state + + @kvs_pipeline(scope=student_scope) async def last_document(event, internal_state): ''' @@ -361,7 +487,7 @@ async def last_document(event, internal_state): # Document URls are as follows: # https://docs.google.com/document/d/18JAnmxzVD_lGSfa8t6Se66KLZm30YFrC_4M-D2zdYG4/edit -DOC_URL_re = re.compile("^https://docs.google.com/document/d/(?P[^/\s]+)/(?P[a-zA-Z]+)") # noqa: W605 \s is invalid escape +DOC_URL_re = re.compile("^https://docs.google.com/document/d/(?P[^/\\s]+)/(?P[a-zA-Z]+)") def get_doc_id(event): @@ -393,17 +519,10 @@ def get_doc_id(event): if doc_id: return doc_id - # Failing that pull out the url event. - # Object_value = event.get('client', {}).get('object', None) url = client.get('object', {}).get('url') if not url: return None - # Now test if the object has a URL and if that corresponds - # to a doc edit/review URL as opposed to their main page. - # if so return the id from it. In the off chance the id - # is still not present or is none then this will return - # none. url_match = DOC_URL_re.match(url) if not url_match: return None @@ -411,6 +530,7 @@ def get_doc_id(event): doc_id = client.get('object', {}).get('id') return doc_id + def document_link_to_doc_id(event): ''' Convert a document link to include a doc_id diff --git a/package.json b/package.json index b5d78de21..a76186902 100644 --- a/package.json +++ b/package.json @@ -15,14 +15,14 @@ }, "repository": { "type": "git", - "url": "git+https://github.com/ETS-Next-Gen/writing_observer.git" + "url": "git+https://github.com/ArgLab/writing_observer.git" }, "author": "", "license": "SEE LICENSE IN LICENSE.TXT", "bugs": { - "url": "https://github.com/ETS-Next-Gen/writing_observer/issues" + "url": "https://github.com/ArgLab/writing_observer/issues" }, - "homepage": "https://github.com/ETS-Next-Gen/writing_observer#readme", + "homepage": "https://github.com/ArgLab/writing_observer#readme", "devDependencies": { "@actions/core": "^1.10.0", "eslint": "^8.38.0", @@ -36,5 +36,8 @@ "stylelint": "^15.5.0", "stylelint-config-standard": "^33.0.0", "stylelint-scss": "^4.6.0" + }, + "dependencies": { + "@react-native-async-storage/async-storage": "^2.1.0" } } diff --git a/requirements.txt b/requirements.txt index 58399169a..ad7eb08ce 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,44 +1,30 @@ -aiodns aiofiles aiohttp aiohttp_cors aiohttp_session aiohttp_wsgi -asyncio_redis -asyncpg +asyncio_redis # pubsub +asyncpg # used in prototypes cookiecutter cryptography -cython dash -dash-extensions dash_renderjson docopt dash-bootstrap-components -dash-core-components -dash-html-components -dash-table -faker -filetype tsvx @ git+https://github.com/pmitros/tsvx.git@09bf7f33107f66413d929075a8b54c36ca581dae#egg=tsvx loremipsum @ git+https://github.com/testlabauto/loremipsum.git@b7bd71a6651207ef88993045cd755f20747f2a1e#egg=loremipsum -google-auth ipython ipykernel -invoke jsonschema -js2py -lxml -multiprocess -myst_parser +pyjwt +lxml # pubsub names notebook numpy pandas pathvalidate -pep8 pmss psutil -pyasn1 py-bcrypt pycodestyle pylint @@ -46,12 +32,9 @@ pytest pyyaml recordclass redis -scipy -slixmpp -sphinx +slixmpp # pubsub svgwrite uvloop watchdog -wikipedia -gitserve @ git+https://github.com/ETS-Next-Gen/writing_observer.git#subdirectory=gitserve +gitserve @ git+https://github.com/ArgLab/writing_observer.git#subdirectory=gitserve diff --git a/scripts/generate_jwks.py b/scripts/generate_jwks.py new file mode 100644 index 000000000..095dd2676 --- /dev/null +++ b/scripts/generate_jwks.py @@ -0,0 +1,82 @@ +#!/usr/bin/env python3 +""" +Generate JWKS from your public key for Canvas LTI configuration +Usage: python generate_jwks.py [kid] +""" + +import sys +import json +import base64 +import hashlib +from cryptography.hazmat.primitives import serialization +from cryptography.hazmat.backends import default_backend + +def generate_jwks(public_key_path, kid=None): + try: + # Load the public key + with open(public_key_path, 'rb') as f: + public_key_pem = f.read() + public_key = serialization.load_pem_public_key( + public_key_pem, + backend=default_backend() + ) + + # Extract the public numbers + numbers = public_key.public_numbers() + + # Helper function to convert int to base64url + def to_base64url(num): + byte_len = (num.bit_length() + 7) // 8 + num_bytes = num.to_bytes(byte_len, byteorder='big') + encoded = base64.urlsafe_b64encode(num_bytes).decode('utf-8') + return encoded.rstrip('=') # Remove padding + + # Generate kid if not provided + # Using SHA256 hash of the public key (common practice) + if kid is None: + key_hash = hashlib.sha256(public_key_pem).digest() + kid = base64.urlsafe_b64encode(key_hash[:16]).decode('utf-8').rstrip('=') + + # Build the JWK + jwk = { + "kty": "RSA", + "e": to_base64url(numbers.e), + "n": to_base64url(numbers.n), + "alg": "RS256", + "kid": kid, + "use": "sig" + } + + return jwk + + except FileNotFoundError: + print(f"Error: Could not find file '{public_key_path}'") + sys.exit(1) + except Exception as e: + print(f"Error: {e}") + sys.exit(1) + +if __name__ == "__main__": + if len(sys.argv) < 2 or len(sys.argv) > 3: + print("Usage: python generate_jwks.py [kid]") + print("\nExamples:") + print(" python generate_jwks.py public_key.pem") + print(" python generate_jwks.py public_key.pem my-custom-key-id") + sys.exit(1) + + public_key_file = sys.argv[1] + custom_kid = sys.argv[2] if len(sys.argv) == 3 else None + + jwks = generate_jwks(public_key_file, custom_kid) + + print("\n" + "="*60) + print("Copy this JSON and paste it into Canvas public_jwk field:") + print("="*60 + "\n") + print(json.dumps(jwks, indent=2)) + print("\n" + "="*60) + print(f"\n✓ Key ID (kid): {jwks['kid']}") + if custom_kid is None: + print(" (auto-generated from key fingerprint)") + print("\n IMPORTANT: If you specify a 'kid' when signing JWTs,") + print(" it must match this value!") + print("="*60) diff --git a/scripts/generic_websocket_dashboard.js b/scripts/generic_websocket_dashboard.js new file mode 100644 index 000000000..018616a9e --- /dev/null +++ b/scripts/generic_websocket_dashboard.js @@ -0,0 +1,48 @@ +/* + Simple Node.js websocket client for exercising the communication protocol. + + Update the REQUEST payload to point at the execution DAG and exports you want + to test. +*/ + +// Remove this line when running within a browser terminal (i.e. non-Node.js environment) +const WebSocket = require('ws'); + +const SERVER = 'ws://localhost:8888/wsapi/communication_protocol'; + +const REQUEST = { + docs_request: { + execution_dag: 'writing_observer', + target_exports: ['docs_with_roster'], + kwargs: { + course_id: 'COURSE-123', + } + } +}; +const socket = new WebSocket(SERVER); + +socket.on('open', () => { + console.log('Open'); + socket.send(JSON.stringify(REQUEST)); +}); + +socket.on('message', (msg) => { + try { + const parsed = JSON.parse(msg.toString()); + console.log(parsed); + } catch (error) { + console.log(msg.toString()); + } +}); + +socket.on('error', (err) => { + console.log('Error'); + console.log(err); +}); + +socket.on('close', (event) => { + console.log('Close'); + if (event) { + console.log(event); + } +}); diff --git a/scripts/generic_websocket_dashboard.py b/scripts/generic_websocket_dashboard.py new file mode 100644 index 000000000..0615b6d9f --- /dev/null +++ b/scripts/generic_websocket_dashboard.py @@ -0,0 +1,41 @@ +"""Simple websocket client for manual communication protocol testing.""" + +import aiohttp +import asyncio +import json + +# Example request payload for the communication protocol websocket. Adjust the +# execution_dag, target_exports, and kwargs to match the reducers you want to +# exercise. +REQUEST = { + "docs_request": { + "execution_dag": "writing_observer", + "target_exports": ["docs_with_roster"], + "kwargs": { + "course_id": 12345678901 + }, + } +} + + +async def main(): + async with aiohttp.ClientSession() as session: + async with session.ws_connect( + "http://localhost:8888/wsapi/communication_protocol", + timeout=5, + ) as ws: + await ws.send_json(REQUEST) + async for msg in ws: + if msg.type == aiohttp.WSMsgType.TEXT: + try: + parsed = json.loads(msg.data) + except json.JSONDecodeError: + parsed = msg.data + print(json.dumps(parsed, indent=2)) + elif msg.type == aiohttp.WSMsgType.ERROR: + print("Error received from websocket:", msg) + break + + +if __name__ == '__main__': + asyncio.run(main()) diff --git a/scripts/hooks/pre-commit.sh b/scripts/hooks/pre-commit.sh new file mode 100755 index 000000000..99dfbabbd --- /dev/null +++ b/scripts/hooks/pre-commit.sh @@ -0,0 +1,67 @@ +#!/bin/bash + +# Function to get current timestamp and branch +get_new_local_version_string() { + local timestamp=$(date -u +"%Y.%m.%dT%H.%M.%S.%3NZ") + local commit_hash=$(git rev-parse --short HEAD) + local branch=$(git rev-parse --abbrev-ref HEAD | tr '/' '.' | tr '-' '.' | tr '_' '.') + echo "${timestamp}.${commit_hash}.${branch}" +} + +# Function to find relevant VERSION files based on changed paths +find_version_files() { + local changed_files=$(git diff --cached --name-only) + local project_root=$(git rev-parse --show-toplevel) + local version_files=("$project_root/VERSION") + + # Function to find the nearest VERSION file within the project root + find_nearest_version_file() { + local dir="$1" + while [[ "$dir" != "$project_root" && "$dir" != "/" ]]; do + if [[ -f "$dir/VERSION" ]]; then + echo "$dir/VERSION" + return + fi + dir=$(dirname "$dir") + done + + # Fallback to root VERSION file if none found and it exists + echo "$project_root/VERSION" + } + + # Process changed files line-by-line + while IFS= read -r file; do + local file_dir=$(dirname "$file") + local nearest_version_file=$(find_nearest_version_file "$file_dir") + + # Add the VERSION file if it's found and not already in the list + if [[ -n "$nearest_version_file" ]] && [[ ! " ${version_files[@]} " =~ " ${nearest_version_file} " ]]; then + version_files+=("$nearest_version_file") + fi + done < <(echo "$changed_files") + + printf "%s\n" "${version_files[@]}" +} + +# Main versioning logic +update_version_files() { + local version_string=$(get_new_local_version_string) + local version_files=$(find_version_files) + + # Update each relevant VERSION file + while IFS= read -r file; do + # Extract semantic version from file + base_version=$(sed -n 's/\(.*\)+.*/\1/p' "$file") + + # Prepend the semantic version to local version + new_version_string="$base_version+$version_string" + + echo "$new_version_string" > "$file" + git add "$file" + done < <(echo "$version_files") +} + +# Run the versioning update +update_version_files + +exit 0 diff --git a/learning_observer/util/lo_dump.py b/scripts/lo_dump.py similarity index 100% rename from learning_observer/util/lo_dump.py rename to scripts/lo_dump.py diff --git a/learning_observer/util/lo_load.py b/scripts/lo_load.py similarity index 100% rename from learning_observer/util/lo_load.py rename to scripts/lo_load.py diff --git a/learning_observer/util/lo_passwd.py b/scripts/lo_passwd.py similarity index 100% rename from learning_observer/util/lo_passwd.py rename to scripts/lo_passwd.py diff --git a/learning_observer/util/log_process.py b/scripts/log_process.py similarity index 100% rename from learning_observer/util/log_process.py rename to scripts/log_process.py diff --git a/scripts/map_emails_to_ids_in_kvs.py b/scripts/map_emails_to_ids_in_kvs.py new file mode 100644 index 000000000..953269bbe --- /dev/null +++ b/scripts/map_emails_to_ids_in_kvs.py @@ -0,0 +1,28 @@ +import asyncio + +import learning_observer.kvs +import learning_observer.offline +import learning_observer.stream_analytics.helpers as sa_helpers + +import writing_observer.writing_analysis + + +def create_key(email): + return f'email-studentID-mapping:{email}' + + +async def run(): + learning_observer.offline.init('creds.yaml') + kvs = learning_observer.kvs.KVS() + reducer_function_name = sa_helpers.fully_qualified_function_name(writing_observer.writing_analysis.student_profile) + all_keys = await kvs.keys() + keys = [k for k in all_keys if 'Internal' in k and reducer_function_name in k] + values = await kvs.multiget(keys) + for profile in values: + if 'email' not in profile or 'google_id' not in profile: + continue + await kvs.set(create_key(profile['email']), profile['google_id']) + + +if __name__ == '__main__': + asyncio.run(run()) diff --git a/learning_observer/util/package-lock.json b/scripts/package-lock.json similarity index 100% rename from learning_observer/util/package-lock.json rename to scripts/package-lock.json diff --git a/learning_observer/util/package.json b/scripts/package.json similarity index 66% rename from learning_observer/util/package.json rename to scripts/package.json index ca6df8c8e..7a25eaade 100644 --- a/learning_observer/util/package.json +++ b/scripts/package.json @@ -8,14 +8,14 @@ }, "repository": { "type": "git", - "url": "git+https://github.com/ETS-Next-Gen/writing_observer.git" + "url": "git+https://github.com/ArgLab/writing_observer.git" }, "author": "Piotr Mitros", "license": "AGPL-3.0", "bugs": { - "url": "https://github.com/ETS-Next-Gen/writing_observer/issues" + "url": "https://github.com/ArgLab/writing_observer/issues" }, - "homepage": "https://github.com/ETS-Next-Gen/writing_observer#readme", + "homepage": "https://github.com/ArgLab/writing_observer#readme", "dependencies": { "ws": "^8.17.1" } diff --git a/learning_observer/util/populate_writing_observer_data.py b/scripts/populate_writing_observer_data.py similarity index 100% rename from learning_observer/util/populate_writing_observer_data.py rename to scripts/populate_writing_observer_data.py diff --git a/learning_observer/util/restream.py b/scripts/restream.py similarity index 100% rename from learning_observer/util/restream.py rename to scripts/restream.py diff --git a/learning_observer/util/stream_writing.py b/scripts/stream_writing.py similarity index 100% rename from learning_observer/util/stream_writing.py rename to scripts/stream_writing.py diff --git a/learning_observer/util/traditional_dashboard.py b/scripts/traditional_dashboard.py similarity index 100% rename from learning_observer/util/traditional_dashboard.py rename to scripts/traditional_dashboard.py diff --git a/test.sh b/test.sh new file mode 100755 index 000000000..5c1856934 --- /dev/null +++ b/test.sh @@ -0,0 +1,43 @@ +#!/bin/bash +# test.sh +# This script iterates over the passed in `PACKAGES`, +# change directory to that path, and execute the `test.sh` +# file. +set -e # Exit immediately if a command exits with a non-zero status + +# Parse arguments +PACKAGES=("$@") + +# Check for no arguments +if [ ${#PACKAGES[@]} -eq 0 ]; then + echo "Error: No packages specified." + echo "Usage:" + echo "$0 /path/to/package_a path/to/package_b ..." + echo "or" + echo "make test PKG=/path/to/package_a" + exit 1 +fi + +echo "Running tests for: ${PACKAGES[*]}" + +# Run tests for each package +for package in "${PACKAGES[@]}"; do + ABS_PACKAGE_PATH="$(cd "$(dirname "$package")" && pwd)/$(basename "$package")/" + PACKAGE_TEST_SCRIPT="$ABS_PACKAGE_PATH/test.sh" + + # Debug directory + if [ -d "$ABS_PACKAGE_PATH" ]; then + echo "Directory exists: $ABS_PACKAGE_PATH" + else + echo "Warning: Directory does not exist: $ABS_PACKAGE_PATH, skipping." + continue + fi + + # Check if the file exists + if [ -f "$PACKAGE_TEST_SCRIPT" ]; then + echo "Running $PACKAGE_TEST_SCRIPT..." + (cd "$ABS_PACKAGE_PATH" && ./test.sh) + else + echo "Warning: No test.sh found in $package, skipping." + fi +done diff --git a/ux/ux.html b/ux/ux.html index 2ff54a621..d66bdd19e 100644 --- a/ux/ux.html +++ b/ux/ux.html @@ -13,7 +13,7 @@ - + diff --git a/wo_requirements.txt b/wo_requirements.txt index 54e26e129..6741b1cdd 100644 --- a/wo_requirements.txt +++ b/wo_requirements.txt @@ -1,3 +1,4 @@ -writing_observer @ git+https://github.com/ETS-Next-Gen/writing_observer.git#subdirectory=modules/writing_observer/ -wo_bulk_essay_analysis @ git+https://github.com/ETS-Next-Gen/writing_observer.git#subdirectory=modules/wo_bulk_essay_analysis/ -wo_classroom_text_highlighter @ git+https://github.com/ETS-Next-Gen/writing_observer.git#subdirectory=modules/wo_classroom_text_highlighter/ +writing_observer @ git+https://github.com/ArgLab/writing_observer.git#subdirectory=modules/writing_observer/ +lo_gpt @ git+https://github.com/ArgLab/writing_observer.git#subdirectory=modules/lo_gpt/ +wo_bulk_essay_analysis @ git+https://github.com/ArgLab/writing_observer.git#subdirectory=modules/wo_bulk_essay_analysis/ +wo_classroom_text_highlighter @ git+https://github.com/ArgLab/writing_observer.git#subdirectory=modules/wo_classroom_text_highlighter/