From 57b1367829facf6ef2209316c02f982c8e76344e Mon Sep 17 00:00:00 2001 From: "google-labs-jules[bot]" <161369871+google-labs-jules[bot]@users.noreply.github.com> Date: Tue, 20 May 2025 18:47:55 +0000 Subject: [PATCH] Readme test from Jules --- README.md | 435 ++++++++++----------------------------------- frontend/README.md | 38 ---- 2 files changed, 93 insertions(+), 380 deletions(-) delete mode 100644 frontend/README.md diff --git a/README.md b/README.md index 33ecd1f..4a60cb8 100644 --- a/README.md +++ b/README.md @@ -1,356 +1,107 @@ # StockUP -A sophisticated AI assistant for stock market analysis and recommendations. - ## Overview -StockUP is a web application leveraging advanced AI algorithms to suggest optimal stock trading strategies. It offers users a comprehensive dashboard to track the performance of their stock portfolios. By utilizing the Google Gemeni AI library for predictive analytics and Plotly for interactive data visualization, StockUP empowers users to make informed investment decisions. +StockUP is a sophisticated AI assistant for stock market analysis and recommendations. It leverages advanced AI algorithms to suggest optimal stock trading strategies and offers users a comprehensive dashboard to track stock performance. + +## Disclaimer + +This application is for educational and research purposes only. It is not intended to serve as investment advice. StockUP is not responsible for any losses or gains made while using this application. + +## Features -**Disclaimer:** This application is for educational and research purposes only. It is not intended to serve as investment advice. StockUP is not responsible for any losses or gains made while using this application. +* Displays historical stock data (1d, 5d, 1mo, 6mo, 1y, 5y). +* Shows general stock information and latest news. +* Provides AI-powered analysis and trading recommendations for stocks using Google Gemini. +* Includes an AI chatbot for specific stock-related queries, also powered by Google Gemini. +* Homepage features a dashboard for "big seven" tech companies. ## Tech Stack -- **Frontend**: Streamlit -- **AI**: Google Gemeni -- **Package Management**: Poetry -- **Charting Library**: Plotly +* **Backend:** Python, FastAPI, Poetry (for dependency management), Google Gemini API. +* **Frontend:** Svelte, Vite, TypeScript, Node.js. + +## Prerequisites + +* Node.js and npm (or pnpm/yarn) +* Python (3.9+ recommended) +* Poetry + +## Project Structure + +* `backend/`: Contains the FastAPI application. +* `frontend/`: Contains the SvelteKit application. + +## Setup and Installation + +### General + +1. Clone the repository: `git clone ` +2. Navigate to the project directory: `cd ` + +### Backend Setup + +1. Navigate to the backend directory: `cd backend` +2. Create a virtual environment (optional but recommended if not using Poetry's env management): `python -m venv .venv` and `source .venv/bin/activate` (or `.\.venv\Scriptsctivate` on Windows). +3. Install dependencies: `poetry install` +4. Set up environment variables: + * Copy `.env.example` to `.env`: `cp .env.example .env` + * Add your Google Gemini API Key to `.env`: `GEMINI_API_KEY="YOUR_API_KEY"` + +### Frontend Setup -## Installation +1. Navigate to the frontend directory: `cd frontend` +2. Install dependencies: `npm install` (or `pnpm install` / `yarn install`) -To get started with StockUP, follow these steps: +## Running the Application -1. Install Poetry: - ```bash - pip install poetry - ``` -2. Install project dependencies: - ```bash - poetry install - ``` +### Backend + +1. Navigate to `backend/`. +2. Run: `poetry run uvicorn app.main:app --reload --host 0.0.0.0 --port 8000` + +### Frontend + +1. Navigate to `frontend/`. +2. Run: `npm run dev -- --host` + * Alternatively, use `npm run dev -- --open` to automatically open the app in a new browser tab. +3. Access the application in your browser, usually at `http://localhost:5173`. + +## Building for Production (Frontend) + +To create a production version of the frontend app: + +1. Navigate to `frontend/`. +2. Run: `npm run build` + +You can preview the production build locally (after building) with: `npm run preview`. ## Testing -Ensure the reliability of the application by running the following tests and checks: - -1. Execute unit tests: - ```bash - pytest . - ``` -2. Run code linters: - ```bash - poetry run pylint . - ``` -3. Run code formatter: - ```bash - poetry run black . - ``` -4. Execute pre-commit hooks: - ```bash - poetry run pre-commit run --all-files - ``` - -## Docker - -For deployment using Docker, execute these commands: - -1. Build the Docker image: - ```bash - docker build -t stockup-app . - ``` -2. Start the Docker container: - ```bash - docker run -p 8501:8501 stockup-app - ``` - -+++++++++++++++++++++++ -======================== - -### **1. Project Directory Structure** -We'll structure the project as follows: - -``` -my-web-app/ -│── backend/ # FastAPI backend -│ ├── app/ -│ │ ├── main.py # Entry point for FastAPI -│ │ ├── models/ # Database models (if using a database) -│ │ ├── routers/ # API routes -│ │ ├── services/ # Business logic -│ │ ├── dependencies.py # Common dependencies -│ │ ├── config.py # Configuration settings -│ ├── pyproject.toml # Poetry package configuration -│ ├── poetry.lock # Poetry lock file -│ ├── .env # Environment variables -│ -│── frontend/ # Svelte frontend -│ ├── src/ -│ │ ├── routes/ # Svelte pages -│ │ ├── components/ # Reusable UI components -│ │ ├── main.ts # Entry file -│ │ ├── App.svelte # Root Svelte component -│ ├── package.json # NPM dependencies -│ ├── svelte.config.js # Svelte configuration -│ ├── vite.config.js # Vite configuration -│ ├── tsconfig.json # TypeScript configuration -│ ├── node_modules/ # Installed dependencies -│ -│── README.md # Documentation -│── .gitignore # Ignore unnecessary files -│── .dockerignore # Ignore unnecessary files in Docker -│── docker-compose.yml # Docker configuration (if needed) -│── .env # Global environment variables -``` - ---- - -### **2. Setting Up the Backend (FastAPI with Poetry)** - -#### **Step 1: Create Backend with Poetry** -```bash -mkdir my-web-app && cd my-web-app -mkdir backend && cd backend -poetry init -``` -(Answer the questions, or use `--no-interaction` for default values.) - -#### **Step 2: Install Dependencies** -```bash -poetry add fastapi uvicorn -``` - -If using a database (e.g., PostgreSQL with SQLAlchemy & Alembic): -```bash -poetry add sqlalchemy psycopg2 alembic -``` - -#### **Step 3: Create the FastAPI App** -Create `backend/app/main.py`: - -```python -from fastapi import FastAPI -from fastapi.middleware.cors import CORSMiddleware - -app = FastAPI() - -# CORS for frontend communication -app.add_middleware( - CORSMiddleware, - allow_origins=["http://localhost:5173"], # Adjust this for deployment - allow_credentials=True, - allow_methods=["*"], - allow_headers=["*"], -) - -@app.get("/") -def read_root(): - return {"message": "Hello from FastAPI!"} -``` - -#### **Step 4: Run the Backend** -```bash -poetry run uvicorn app.main:app --reload --host 0.0.0.0 --port 8000 -``` - ---- - -### **3. Setting Up the Frontend (Svelte with Vite)** - -#### **Step 1: Create Frontend** -```bash -cd .. -mkdir frontend && cd frontend -npm create vite@latest . -- --template svelte -``` - -#### **Step 2: Install Dependencies** -```bash -npm install -``` - -#### **Step 3: Create API Call in Frontend** -Modify `frontend/src/routes/+page.svelte`: - -```svelte - - -

{message}

-``` - -#### **Step 4: Run the Frontend** -```bash -npm run dev -- --host -``` -This will run the frontend on `http://localhost:5173`. - ---- - -### **4. Connecting Backend and Frontend** -Your **frontend** makes API calls to `http://localhost:8000/`, and FastAPI allows requests from `http://localhost:5173` thanks to the CORS middleware. - -If you deploy, update CORS settings and API URLs accordingly. - ---- - -### **5. Running the Full Stack** -To start everything: -1. Run the backend: - ```bash - cd backend - poetry run uvicorn app.main:app --reload - ``` -2. Run the frontend: - ```bash - cd frontend - npm run dev - ``` - -Now open `http://localhost:5173`, and your frontend should fetch data from the FastAPI backend. - - - -=========================================== - -## **Approach: Serve the Frontend with FastAPI** -A common solution is to **build the frontend as static files** and serve them with FastAPI. This way, you only need to run FastAPI, and it will serve both the API and frontend. - -### **Steps to Deploy on Render** ---- - -### **1. Modify the Backend to Serve the Frontend** -After building the Svelte app, we serve the static files using FastAPI’s `StaticFiles`. - -#### **Install Required Package** -```bash -poetry add fastapi[all] -``` - -#### **Modify `backend/app/main.py`** -Update `main.py` to serve the frontend: -```python -from fastapi import FastAPI -from fastapi.staticfiles import StaticFiles -from fastapi.middleware.cors import CORSMiddleware -from pathlib import Path - -app = FastAPI() - -# CORS for local development -app.add_middleware( - CORSMiddleware, - allow_origins=["*"], # Change this for production - allow_credentials=True, - allow_methods=["*"], - allow_headers=["*"], -) - -@app.get("/api") -def read_root(): - return {"message": "Hello from FastAPI!"} - -# Serve frontend from "frontend/dist" -frontend_path = Path(__file__).parent.parent / "frontend" / "dist" -if frontend_path.exists(): - app.mount("/", StaticFiles(directory=str(frontend_path), html=True), name="frontend") -``` ---- -### **2. Modify the Frontend** -Update the frontend API call in `frontend/src/routes/+page.svelte`: -```svelte - - -

{message}

-``` - ---- -### **3. Modify the Dockerfile** -The Dockerfile should: -- **Build the frontend** -- **Copy it into the backend** -- **Run FastAPI** - -Create `backend/Dockerfile`: -```dockerfile -# Stage 1: Build the frontend -FROM node:18 AS frontend-build -WORKDIR /app/frontend -COPY frontend/package.json frontend/package-lock.json ./ -RUN npm install -COPY frontend ./ -RUN npm run build - -# Stage 2: Build the backend -FROM python:3.11 AS backend -WORKDIR /app -COPY backend/pyproject.toml backend/poetry.lock ./ -RUN pip install poetry && poetry install --no-dev - -# Copy backend and built frontend -COPY backend ./ -COPY --from=frontend-build /app/frontend/dist ./frontend/dist - -# Expose FastAPI port -EXPOSE 8000 -CMD ["poetry", "run", "uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"] -``` ---- -### **4. Deploy on Render** -#### **Step 1: Push to GitHub** -Ensure your repository is structured like this: -``` -my-web-app/ -├── backend/ -│ ├── app/ -│ ├── Dockerfile -│ ├── pyproject.toml -│ ├── poetry.lock -├── frontend/ -│ ├── src/ -│ ├── package.json -│ ├── package-lock.json -``` -Commit and push it to GitHub. - -#### **Step 2: Deploy on Render** -1. Go to **Render** → Create a new **Web Service**. -2. Select your GitHub repository. -3. Choose **Docker** as the environment. -4. Set the **Dockerfile path** to `backend/Dockerfile`. -5. Set the **PORT** environment variable to `8000`. -6. Deploy! - - - - - - - - - - ------------ -npm run format -npm run format:check - - -Lint: -npm run lint +### Backend + +1. Navigate to `backend/`. +2. Run unit tests: `pytest .` +3. Linters/Formatters: + * `poetry run pylint .` + * `poetry run black .` + * `poetry run pre-commit run --all-files` + +### Frontend + +1. Navigate to `frontend/`. +2. Run linter: `npm run lint` +3. Run formatter: `npm run format` + +## Docker Deployment (Simplified) + +* The project includes a `backend/Dockerfile` that can be used to build a container image for the application. +* This Dockerfile builds the frontend and serves it using the FastAPI backend. +* Build the image: `docker build -t stockup-app -f backend/Dockerfile .` +* Run the container: `docker run -p 8000:8000 -e GEMINI_API_KEY="YOUR_API_KEY" stockup-app` + +## Contributing + +* Contributions are welcome! Please feel free to open an issue or submit a pull request. +* Check the `.github/ISSUE_TEMPLATE/` for reporting bugs or requesting features. +* Follow the existing coding style and ensure tests pass before submitting a PR. diff --git a/frontend/README.md b/frontend/README.md deleted file mode 100644 index b5b2950..0000000 --- a/frontend/README.md +++ /dev/null @@ -1,38 +0,0 @@ -# sv - -Everything you need to build a Svelte project, powered by [`sv`](https://github.com/sveltejs/cli). - -## Creating a project - -If you're seeing this, you've probably already done this step. Congrats! - -```bash -# create a new project in the current directory -npx sv create - -# create a new project in my-app -npx sv create my-app -``` - -## Developing - -Once you've created a project and installed dependencies with `npm install` (or `pnpm install` or `yarn`), start a development server: - -```bash -npm run dev - -# or start the server and open the app in a new browser tab -npm run dev -- --open -``` - -## Building - -To create a production version of your app: - -```bash -npm run build -``` - -You can preview the production build with `npm run preview`. - -> To deploy your app, you may need to install an [adapter](https://svelte.dev/docs/kit/adapters) for your target environment.