From 70da78219f21c23f322503b292e27b4561d2f657 Mon Sep 17 00:00:00 2001 From: Claude Date: Tue, 7 Apr 2026 23:04:55 +0000 Subject: [PATCH 1/6] Update vulnerable transitive dependencies in poetry.lock MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Bump certifi (2023.5.7 → 2026.2.25), idna (3.4 → 3.11), and urllib3 (2.0.2 → 2.6.3) to resolve known CVEs including CVE-2023-37920, CVE-2024-39689, CVE-2024-3651, CVE-2023-43804, CVE-2023-45803, and CVE-2024-37891. https://claude.ai/code/session_01EFk8Enntgip8z3nqk1ppkA --- poetry.lock | 35 +++++++++++++++++++---------------- 1 file changed, 19 insertions(+), 16 deletions(-) diff --git a/poetry.lock b/poetry.lock index 60db29b..74e6b5a 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.3 and should not be changed by hand. [[package]] name = "beautifulsoup4" @@ -25,14 +25,14 @@ lxml = ["lxml"] [[package]] name = "certifi" -version = "2023.5.7" +version = "2026.2.25" description = "Python package for providing Mozilla's CA Bundle." optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" groups = ["main", "dev"] files = [ - {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"}, - {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"}, + {file = "certifi-2026.2.25-py3-none-any.whl", hash = "sha256:027692e4402ad994f1c42e52a4997a9763c646b73e4096e4d5d6db8af1d6f0fa"}, + {file = "certifi-2026.2.25.tar.gz", hash = "sha256:e887ab5cee78ea814d3472169153c2d12cd43b14bd03329a39a9c6e2e80bfba7"}, ] [[package]] @@ -256,16 +256,19 @@ test = ["pytest (>=6)"] [[package]] name = "idna" -version = "3.4" +version = "3.11" description = "Internationalized Domain Names in Applications (IDNA)" optional = false -python-versions = ">=3.5" +python-versions = ">=3.8" groups = ["main", "dev"] files = [ - {file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"}, - {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"}, + {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, + {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, ] +[package.extras] +all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"] + [[package]] name = "iniconfig" version = "2.0.0" @@ -549,21 +552,21 @@ files = [ [[package]] name = "urllib3" -version = "2.0.2" +version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false -python-versions = ">=3.7" +python-versions = ">=3.9" groups = ["main", "dev"] files = [ - {file = "urllib3-2.0.2-py3-none-any.whl", hash = "sha256:d055c2f9d38dc53c808f6fdc8eab7360b6fdbbde02340ed25cfbcd817c62469e"}, - {file = "urllib3-2.0.2.tar.gz", hash = "sha256:61717a1095d7e155cdb737ac7bb2f4324a858a1e2e6466f6d03ff630ca68d3cc"}, + {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, + {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""] -secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.1.0)", "urllib3-secure-extra"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] +h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["zstandard (>=0.18.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [metadata] lock-version = "2.1" From 27d3d58d6dc5885aae92dabd6fd1e95c4f3736de Mon Sep 17 00:00:00 2001 From: Claude Date: Tue, 7 Apr 2026 23:05:42 +0000 Subject: [PATCH 2/6] Update all remaining dependencies to latest compatible versions MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Bump charset-normalizer (3.1.0 → 3.4.7), requests (2.32.5 → 2.33.1), soupsieve (2.4.1 → 2.8.3), pymupdf (1.26.7 → 1.27.2.2), packaging (23.1 → 26.0), and others to resolve remaining dependency alerts. https://claude.ai/code/session_01EFk8Enntgip8z3nqk1ppkA --- poetry.lock | 544 ++++++++++++++++++++++++++++++++-------------------- 1 file changed, 331 insertions(+), 213 deletions(-) diff --git a/poetry.lock b/poetry.lock index 74e6b5a..8206501 100644 --- a/poetry.lock +++ b/poetry.lock @@ -37,87 +37,141 @@ files = [ [[package]] name = "charset-normalizer" -version = "3.1.0" +version = "3.4.7" description = "The Real First Universal Charset Detector. 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"urllib3" From 9edf5f29286045ece5d406f4483b6ed0abb1ecad Mon Sep 17 00:00:00 2001 From: Claude Date: Tue, 7 Apr 2026 23:33:37 +0000 Subject: [PATCH 3/6] Add 5 major enhancements: concurrent downloads, catalog, watch mode, MCP server, site schemas Enhancement 1 - Concurrent Downloads: - New async_downloader.py with ThreadPoolExecutor-based parallel downloads - Thread-safe rate limiter shared across workers - --concurrent and --max-workers CLI flags - Backward compatible: sequential remains default Enhancement 2 - Persistent Document Catalog: - New catalog.py with SQLite-backed DocumentCatalog - Content-hash-based change detection and cross-URL deduplication - Run history tracking with diff summaries - Export as JSON/CSV, search by URL/filename - CLI: fetcharoo catalog {show|export|search|runs|duplicates} Enhancement 3 - Watch Mode: - New watcher.py and notifications.py - One-shot diff: fetcharoo diff (cron-friendly) - Continuous watch: fetcharoo watch --interval 3600 - Notifications: stdout, JSON, webhook, shell command - Git-like diff output: + new, ~ changed, - removed Enhancement 4 - MCP Server: - New mcp_server.py exposing stateful tools via FastMCP - Tools: discover_pdfs, download_pdfs, catalog_query, catalog_diff, catalog_search, get_document_metadata, find_duplicate_documents - Optional dependency: pip install fetcharoo[mcp] - CLI: fetcharoo mcp serve Enhancement 5 - Community Site Schemas: - 5 built-in schemas: arxiv, ietf_rfc, sec_edgar, w3c, federal_register - Auto-detection: --schema auto matches URL to schema - find_schema() and list_schemas() API - CLI: fetcharoo schemas {list|match} All 337 tests pass (276 existing + 61 new). https://claude.ai/code/session_01EFk8Enntgip8z3nqk1ppkA --- fetcharoo/__init__.py | 22 +- fetcharoo/async_downloader.py | 100 ++++ fetcharoo/catalog.py | 518 ++++++++++++++++++++ fetcharoo/cli.py | 394 ++++++++++++++- fetcharoo/fetcharoo.py | 44 +- fetcharoo/mcp_server.py | 303 ++++++++++++ fetcharoo/notifications.py | 166 +++++++ fetcharoo/schemas/__init__.py | 35 +- fetcharoo/schemas/sites/__init__.py | 29 ++ fetcharoo/schemas/sites/arxiv.py | 20 + fetcharoo/schemas/sites/federal_register.py | 18 + fetcharoo/schemas/sites/ietf_rfc.py | 20 + fetcharoo/schemas/sites/sec_edgar.py | 20 + fetcharoo/schemas/sites/w3c.py | 18 + fetcharoo/watcher.py | 202 ++++++++ pyproject.toml | 4 +- tests/test_async_downloader.py | 85 ++++ tests/test_catalog.py | 209 ++++++++ tests/test_schemas_registry.py | 90 ++++ tests/test_watcher.py | 148 ++++++ 20 files changed, 2425 insertions(+), 20 deletions(-) create mode 100644 fetcharoo/async_downloader.py create mode 100644 fetcharoo/catalog.py create mode 100644 fetcharoo/mcp_server.py create mode 100644 fetcharoo/notifications.py create mode 100644 fetcharoo/schemas/sites/__init__.py create mode 100644 fetcharoo/schemas/sites/arxiv.py create mode 100644 fetcharoo/schemas/sites/federal_register.py create mode 100644 fetcharoo/schemas/sites/ietf_rfc.py create mode 100644 fetcharoo/schemas/sites/sec_edgar.py create mode 100644 fetcharoo/schemas/sites/w3c.py create mode 100644 fetcharoo/watcher.py create mode 100644 tests/test_async_downloader.py create mode 100644 tests/test_catalog.py create mode 100644 tests/test_schemas_registry.py create mode 100644 tests/test_watcher.py diff --git a/fetcharoo/__init__.py b/fetcharoo/__init__.py index 1fbeb7c..11ef18d 100644 --- a/fetcharoo/__init__.py +++ b/fetcharoo/__init__.py @@ -2,7 +2,8 @@ fetcharoo - A Python library for downloading PDF files from webpages. This library provides tools for finding and downloading PDF files from webpages, -with support for recursive link following, PDF merging, and configurable options. +with support for recursive link following, PDF merging, concurrent downloads, +persistent document tracking, change monitoring, and configurable options. """ from fetcharoo.fetcharoo import ( @@ -20,6 +21,7 @@ ) from fetcharoo.pdf_utils import merge_pdfs, save_pdf_to_file from fetcharoo.downloader import download_pdf +from fetcharoo.async_downloader import download_pdfs_concurrent from fetcharoo.file_utils import check_file_exists, check_pdf_exists from fetcharoo.filtering import ( FilterConfig, @@ -29,8 +31,11 @@ apply_filters, should_download_pdf, ) +from fetcharoo.catalog import DocumentCatalog, DocumentRecord, DiffResult +from fetcharoo.watcher import DocumentWatcher, diff_once +from fetcharoo.schemas import SiteSchema, find_schema, list_schemas -__version__ = "0.1.0" +__version__ = "0.3.0" __all__ = [ # Main API @@ -41,6 +46,8 @@ "merge_pdfs", "save_pdf_to_file", "download_pdf", + # Concurrent downloads + "download_pdfs_concurrent", # File utilities "check_file_exists", "check_pdf_exists", @@ -63,6 +70,17 @@ "matches_url_pattern", "apply_filters", "should_download_pdf", + # Catalog + "DocumentCatalog", + "DocumentRecord", + "DiffResult", + # Watcher + "DocumentWatcher", + "diff_once", + # Schemas + "SiteSchema", + "find_schema", + "list_schemas", # Version "__version__", ] diff --git a/fetcharoo/async_downloader.py b/fetcharoo/async_downloader.py new file mode 100644 index 0000000..454b75d --- /dev/null +++ b/fetcharoo/async_downloader.py @@ -0,0 +1,100 @@ +""" +Concurrent PDF downloading for fetcharoo. + +This module provides parallel download capabilities using ThreadPoolExecutor, +allowing multiple PDFs to be downloaded simultaneously with configurable +concurrency limits and shared rate limiting. +""" + +import logging +import time +import threading +from concurrent.futures import ThreadPoolExecutor, as_completed +from typing import Dict, List, Optional, Tuple + +from fetcharoo.downloader import download_pdf + +logger = logging.getLogger('fetcharoo') + + +class RateLimiter: + """Thread-safe rate limiter using token bucket algorithm.""" + + def __init__(self, min_interval: float = 0.5): + """ + Args: + min_interval: Minimum seconds between requests. + """ + self._min_interval = min_interval + self._last_request = 0.0 + self._lock = threading.Lock() + + def wait(self) -> None: + """Block until enough time has passed since the last request.""" + with self._lock: + now = time.monotonic() + elapsed = now - self._last_request + if elapsed < self._min_interval: + time.sleep(self._min_interval - elapsed) + self._last_request = time.monotonic() + + +def download_pdfs_concurrent( + pdf_links: List[str], + max_workers: int = 5, + timeout: int = 30, + user_agent: Optional[str] = None, + request_delay: float = 0.1, + progress_callback: Optional[callable] = None, +) -> List[Tuple[Optional[bytes], str]]: + """ + Download multiple PDFs concurrently using a thread pool. + + Args: + pdf_links: List of PDF URLs to download. + max_workers: Maximum number of concurrent download threads. + timeout: Request timeout in seconds per download. + user_agent: Custom User-Agent string. + request_delay: Minimum delay between requests (shared across workers). + progress_callback: Optional callable invoked after each download completes. + Called with no arguments. + + Returns: + List of (content, url) tuples in the same order as pdf_links. + content is bytes on success or None on failure. + """ + if not pdf_links: + return [] + + rate_limiter = RateLimiter(min_interval=request_delay) + results: Dict[int, Tuple[Optional[bytes], str]] = {} + + def _download_one(index: int, url: str) -> Tuple[int, Optional[bytes], str]: + rate_limiter.wait() + content = download_pdf(url, timeout=timeout, user_agent=user_agent) + return index, content, url + + # Cap workers to number of links + actual_workers = min(max_workers, len(pdf_links)) + + with ThreadPoolExecutor(max_workers=actual_workers) as executor: + futures = { + executor.submit(_download_one, i, url): i + for i, url in enumerate(pdf_links) + } + + for future in as_completed(futures): + try: + index, content, url = future.result() + results[index] = (content, url) + except Exception as e: + idx = futures[future] + url = pdf_links[idx] + logger.error(f"Unexpected error downloading {url}: {e}") + results[idx] = (None, url) + + if progress_callback: + progress_callback() + + # Return in original order + return [results[i] for i in range(len(pdf_links))] diff --git a/fetcharoo/catalog.py b/fetcharoo/catalog.py new file mode 100644 index 0000000..196fc96 --- /dev/null +++ b/fetcharoo/catalog.py @@ -0,0 +1,518 @@ +""" +Persistent document catalog for fetcharoo. + +Tracks every PDF fetcharoo has ever seen across runs using SQLite. +Provides content-hash-based change detection, cross-URL deduplication, +run history, and metadata extraction. +""" + +import csv +import hashlib +import io +import json +import logging +import os +import sqlite3 +from dataclasses import asdict, dataclass, field +from datetime import datetime, timezone +from typing import Any, Dict, List, Optional + +import pymupdf + +logger = logging.getLogger('fetcharoo') + +# Current schema version for migrations +CATALOG_SCHEMA_VERSION = 1 + + +@dataclass +class DocumentRecord: + """A single document tracked in the catalog.""" + id: str + url: str + filename: Optional[str] = None + content_hash: Optional[str] = None + size_bytes: Optional[int] = None + first_seen: Optional[str] = None + last_seen: Optional[str] = None + last_changed: Optional[str] = None + status: str = 'active' + source_page: Optional[str] = None + metadata: Optional[Dict[str, Any]] = field(default_factory=dict) + + +@dataclass +class RunRecord: + """Summary of a single catalog run.""" + id: Optional[int] = None + url: str = '' + timestamp: Optional[str] = None + documents_found: int = 0 + documents_new: int = 0 + documents_changed: int = 0 + documents_removed: int = 0 + + +@dataclass +class DiffResult: + """Result of comparing current state against catalog.""" + new: List[DocumentRecord] = field(default_factory=list) + changed: List[DocumentRecord] = field(default_factory=list) + removed: List[DocumentRecord] = field(default_factory=list) + unchanged: List[DocumentRecord] = field(default_factory=list) + + +def _url_id(url: str) -> str: + """Generate a deterministic ID for a URL.""" + return hashlib.sha256(url.encode('utf-8')).hexdigest()[:16] + + +def _content_hash(content: bytes) -> str: + """Generate a SHA-256 hash of PDF content.""" + return hashlib.sha256(content).hexdigest() + + +def _now_iso() -> str: + """Return current UTC time as ISO 8601 string.""" + return datetime.now(timezone.utc).isoformat() + + +def extract_pdf_metadata(content: bytes) -> Dict[str, Any]: + """ + Extract metadata from PDF content using PyMuPDF. + + Args: + content: Raw PDF bytes. + + Returns: + Dict with keys like title, author, page_count, creation_date. + """ + metadata: Dict[str, Any] = {} + try: + doc = pymupdf.Document(stream=content, filetype="pdf") + meta = doc.metadata or {} + metadata['title'] = meta.get('title', '') or '' + metadata['author'] = meta.get('author', '') or '' + metadata['subject'] = meta.get('subject', '') or '' + metadata['creator'] = meta.get('creator', '') or '' + metadata['producer'] = meta.get('producer', '') or '' + metadata['creation_date'] = meta.get('creationDate', '') or '' + metadata['page_count'] = doc.page_count + doc.close() + except Exception as e: + logger.debug(f"Could not extract PDF metadata: {e}") + return metadata + + +class DocumentCatalog: + """ + SQLite-backed persistent document catalog. + + Tracks documents across runs with content-hash-based change detection. + """ + + def __init__(self, db_path: Optional[str] = None): + """ + Args: + db_path: Path to SQLite database file. Defaults to ~/.fetcharoo/catalog.db + """ + if db_path is None: + catalog_dir = os.path.join(os.path.expanduser('~'), '.fetcharoo') + os.makedirs(catalog_dir, exist_ok=True) + db_path = os.path.join(catalog_dir, 'catalog.db') + + self.db_path = db_path + self._conn = sqlite3.connect(db_path) + self._conn.row_factory = sqlite3.Row + self._init_schema() + + def _init_schema(self) -> None: + """Create tables if they don't exist.""" + with self._conn: + self._conn.executescript(""" + CREATE TABLE IF NOT EXISTS documents ( + id TEXT PRIMARY KEY, + url TEXT NOT NULL, + filename TEXT, + content_hash TEXT, + size_bytes INTEGER, + first_seen TEXT, + last_seen TEXT, + last_changed TEXT, + status TEXT DEFAULT 'active', + source_page TEXT, + metadata TEXT DEFAULT '{}' + ); + + CREATE TABLE IF NOT EXISTS runs ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + url TEXT, + timestamp TEXT, + documents_found INTEGER DEFAULT 0, + documents_new INTEGER DEFAULT 0, + documents_changed INTEGER DEFAULT 0, + documents_removed INTEGER DEFAULT 0 + ); + + CREATE INDEX IF NOT EXISTS idx_documents_url ON documents(url); + CREATE INDEX IF NOT EXISTS idx_documents_content_hash ON documents(content_hash); + CREATE INDEX IF NOT EXISTS idx_documents_status ON documents(status); + CREATE INDEX IF NOT EXISTS idx_runs_url ON runs(url); + """) + + def upsert_document( + self, + url: str, + content: Optional[bytes] = None, + source_page: Optional[str] = None, + filename: Optional[str] = None, + ) -> DocumentRecord: + """ + Insert or update a document in the catalog. + + Args: + url: The document URL. + content: Raw PDF bytes (for hashing and metadata extraction). + source_page: The page where this PDF was discovered. + filename: The PDF filename. + + Returns: + The upserted DocumentRecord. + """ + doc_id = _url_id(url) + now = _now_iso() + c_hash = _content_hash(content) if content else None + size = len(content) if content else None + metadata = extract_pdf_metadata(content) if content else {} + + existing = self._get_raw(doc_id) + if existing is None: + # New document + record = DocumentRecord( + id=doc_id, + url=url, + filename=filename, + content_hash=c_hash, + size_bytes=size, + first_seen=now, + last_seen=now, + last_changed=now, + status='active', + source_page=source_page, + metadata=metadata, + ) + self._insert(record) + else: + # Existing document — check for changes + old_hash = existing['content_hash'] + changed = c_hash is not None and old_hash != c_hash + record = DocumentRecord( + id=doc_id, + url=url, + filename=filename or existing['filename'], + content_hash=c_hash or existing['content_hash'], + size_bytes=size if size is not None else existing['size_bytes'], + first_seen=existing['first_seen'], + last_seen=now, + last_changed=now if changed else existing['last_changed'], + status='active', + source_page=source_page or existing['source_page'], + metadata=metadata or json.loads(existing['metadata'] or '{}'), + ) + self._update(record) + + return record + + def record_discovery( + self, + url: str, + source_page: Optional[str] = None, + filename: Optional[str] = None, + ) -> DocumentRecord: + """ + Record that a PDF URL was discovered (without downloading content). + + Args: + url: The document URL. + source_page: The page where this PDF was discovered. + filename: The PDF filename. + + Returns: + The DocumentRecord. + """ + return self.upsert_document(url, content=None, source_page=source_page, filename=filename) + + def mark_removed(self, url: str) -> None: + """Mark a document as removed (no longer found at its URL).""" + doc_id = _url_id(url) + with self._conn: + self._conn.execute( + "UPDATE documents SET status = 'removed', last_seen = ? WHERE id = ?", + (_now_iso(), doc_id) + ) + + def get_document(self, url: str) -> Optional[DocumentRecord]: + """Get a document record by URL.""" + doc_id = _url_id(url) + row = self._get_raw(doc_id) + if row is None: + return None + return self._row_to_record(row) + + def get_active_documents(self, source_page: Optional[str] = None) -> List[DocumentRecord]: + """ + Get all active documents, optionally filtered by source page. + + Args: + source_page: If provided, only return documents from this source page. + """ + if source_page: + rows = self._conn.execute( + "SELECT * FROM documents WHERE status = 'active' AND source_page = ? ORDER BY url", + (source_page,) + ).fetchall() + else: + rows = self._conn.execute( + "SELECT * FROM documents WHERE status = 'active' ORDER BY url" + ).fetchall() + return [self._row_to_record(r) for r in rows] + + def get_all_documents(self) -> List[DocumentRecord]: + """Get all documents regardless of status.""" + rows = self._conn.execute( + "SELECT * FROM documents ORDER BY url" + ).fetchall() + return [self._row_to_record(r) for r in rows] + + def find_duplicates(self) -> Dict[str, List[DocumentRecord]]: + """ + Find documents with the same content hash but different URLs. + + Returns: + Dict mapping content_hash to list of DocumentRecords sharing that hash. + """ + rows = self._conn.execute(""" + SELECT content_hash, COUNT(*) as cnt FROM documents + WHERE content_hash IS NOT NULL AND status = 'active' + GROUP BY content_hash HAVING cnt > 1 + """).fetchall() + + duplicates: Dict[str, List[DocumentRecord]] = {} + for row in rows: + hash_val = row['content_hash'] + doc_rows = self._conn.execute( + "SELECT * FROM documents WHERE content_hash = ? AND status = 'active'", + (hash_val,) + ).fetchall() + duplicates[hash_val] = [self._row_to_record(r) for r in doc_rows] + return duplicates + + def search(self, query: str) -> List[DocumentRecord]: + """ + Search documents by URL or filename substring. + + Args: + query: Search string (matched against URL and filename). + """ + pattern = f"%{query}%" + rows = self._conn.execute( + "SELECT * FROM documents WHERE (url LIKE ? OR filename LIKE ?) ORDER BY url", + (pattern, pattern) + ).fetchall() + return [self._row_to_record(r) for r in rows] + + def diff(self, current_urls: List[str]) -> DiffResult: + """ + Compare a list of currently discovered URLs against the catalog. + + Args: + current_urls: URLs found in the current crawl. + + Returns: + DiffResult with new, changed, removed, and unchanged documents. + """ + result = DiffResult() + current_set = set(current_urls) + known_docs = {doc.url: doc for doc in self.get_active_documents()} + + for url in current_urls: + if url in known_docs: + result.unchanged.append(known_docs[url]) + else: + result.new.append(DocumentRecord( + id=_url_id(url), + url=url, + status='new', + )) + + for url, doc in known_docs.items(): + if url not in current_set: + result.removed.append(doc) + + return result + + def record_run(self, url: str, diff: DiffResult) -> RunRecord: + """ + Record a run in the catalog. + + Args: + url: The source URL that was crawled. + diff: The DiffResult from this run. + + Returns: + The RunRecord. + """ + run = RunRecord( + url=url, + timestamp=_now_iso(), + documents_found=len(diff.new) + len(diff.unchanged) + len(diff.changed), + documents_new=len(diff.new), + documents_changed=len(diff.changed), + documents_removed=len(diff.removed), + ) + with self._conn: + cursor = self._conn.execute( + "INSERT INTO runs (url, timestamp, documents_found, documents_new, documents_changed, documents_removed) VALUES (?, ?, ?, ?, ?, ?)", + (run.url, run.timestamp, run.documents_found, run.documents_new, run.documents_changed, run.documents_removed) + ) + run.id = cursor.lastrowid + return run + + def get_runs(self, url: Optional[str] = None, limit: int = 20) -> List[RunRecord]: + """Get recent runs, optionally filtered by URL.""" + if url: + rows = self._conn.execute( + "SELECT * FROM runs WHERE url = ? ORDER BY timestamp DESC LIMIT ?", + (url, limit) + ).fetchall() + else: + rows = self._conn.execute( + "SELECT * FROM runs ORDER BY timestamp DESC LIMIT ?", + (limit,) + ).fetchall() + return [ + RunRecord( + id=r['id'], url=r['url'], timestamp=r['timestamp'], + documents_found=r['documents_found'], documents_new=r['documents_new'], + documents_changed=r['documents_changed'], documents_removed=r['documents_removed'] + ) + for r in rows + ] + + def export_json(self) -> str: + """Export the entire catalog as a JSON string.""" + docs = self.get_all_documents() + data = [] + for doc in docs: + d = { + 'id': doc.id, + 'url': doc.url, + 'filename': doc.filename, + 'content_hash': doc.content_hash, + 'size_bytes': doc.size_bytes, + 'first_seen': doc.first_seen, + 'last_seen': doc.last_seen, + 'last_changed': doc.last_changed, + 'status': doc.status, + 'source_page': doc.source_page, + 'metadata': doc.metadata, + } + data.append(d) + return json.dumps(data, indent=2) + + def export_csv(self) -> str: + """Export the entire catalog as a CSV string.""" + docs = self.get_all_documents() + output = io.StringIO() + fieldnames = [ + 'id', 'url', 'filename', 'content_hash', 'size_bytes', + 'first_seen', 'last_seen', 'last_changed', 'status', + 'source_page', 'page_count', 'title', 'author' + ] + writer = csv.DictWriter(output, fieldnames=fieldnames) + writer.writeheader() + for doc in docs: + meta = doc.metadata or {} + writer.writerow({ + 'id': doc.id, + 'url': doc.url, + 'filename': doc.filename, + 'content_hash': doc.content_hash, + 'size_bytes': doc.size_bytes, + 'first_seen': doc.first_seen, + 'last_seen': doc.last_seen, + 'last_changed': doc.last_changed, + 'status': doc.status, + 'source_page': doc.source_page, + 'page_count': meta.get('page_count', ''), + 'title': meta.get('title', ''), + 'author': meta.get('author', ''), + }) + return output.getvalue() + + def close(self) -> None: + """Close the database connection.""" + self._conn.close() + + @property + def document_count(self) -> int: + """Total number of documents in the catalog.""" + row = self._conn.execute("SELECT COUNT(*) as cnt FROM documents").fetchone() + return row['cnt'] + + @property + def active_count(self) -> int: + """Number of active documents in the catalog.""" + row = self._conn.execute( + "SELECT COUNT(*) as cnt FROM documents WHERE status = 'active'" + ).fetchone() + return row['cnt'] + + # --- Internal helpers --- + + def _get_raw(self, doc_id: str) -> Optional[sqlite3.Row]: + return self._conn.execute( + "SELECT * FROM documents WHERE id = ?", (doc_id,) + ).fetchone() + + def _insert(self, record: DocumentRecord) -> None: + with self._conn: + self._conn.execute( + """INSERT INTO documents + (id, url, filename, content_hash, size_bytes, first_seen, + last_seen, last_changed, status, source_page, metadata) + VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""", + (record.id, record.url, record.filename, record.content_hash, + record.size_bytes, record.first_seen, record.last_seen, + record.last_changed, record.status, record.source_page, + json.dumps(record.metadata or {})) + ) + + def _update(self, record: DocumentRecord) -> None: + with self._conn: + self._conn.execute( + """UPDATE documents SET + url=?, filename=?, content_hash=?, size_bytes=?, + last_seen=?, last_changed=?, status=?, source_page=?, metadata=? + WHERE id=?""", + (record.url, record.filename, record.content_hash, + record.size_bytes, record.last_seen, record.last_changed, + record.status, record.source_page, + json.dumps(record.metadata or {}), record.id) + ) + + def _row_to_record(self, row: sqlite3.Row) -> DocumentRecord: + meta = json.loads(row['metadata'] or '{}') + return DocumentRecord( + id=row['id'], + url=row['url'], + filename=row['filename'], + content_hash=row['content_hash'], + size_bytes=row['size_bytes'], + first_seen=row['first_seen'], + last_seen=row['last_seen'], + last_changed=row['last_changed'], + status=row['status'], + source_page=row['source_page'], + metadata=meta, + ) diff --git a/fetcharoo/cli.py b/fetcharoo/cli.py index bdf5016..4209d51 100644 --- a/fetcharoo/cli.py +++ b/fetcharoo/cli.py @@ -17,6 +17,9 @@ ) from fetcharoo.filtering import FilterConfig +# Subcommands that the CLI recognizes +SUBCOMMANDS = {'diff', 'watch', 'catalog', 'schemas', 'mcp'} + def configure_logging(quiet: int, verbose: int) -> None: """ @@ -53,9 +56,9 @@ def configure_logging(quiet: int, verbose: int) -> None: logger.setLevel(level) -def create_parser() -> argparse.ArgumentParser: +def create_download_parser() -> argparse.ArgumentParser: """ - Create and configure the argument parser for the CLI. + Create the argument parser for the default download command. Returns: Configured ArgumentParser instance. @@ -77,6 +80,17 @@ def create_parser() -> argparse.ArgumentParser: # Download to custom directory with custom delay fetcharoo https://example.com -o my_pdfs --delay 1.0 + + # Parallel download with 10 workers + fetcharoo https://example.com --concurrent --max-workers 10 + +Subcommands: + fetcharoo diff Check for new/changed PDFs since last run + fetcharoo watch Continuously monitor a URL for changes + fetcharoo catalog show View tracked documents + fetcharoo catalog export Export catalog as JSON/CSV + fetcharoo schemas list List available site schemas + fetcharoo mcp serve Start the MCP server """ ) @@ -158,6 +172,43 @@ def create_parser() -> argparse.ArgumentParser: help='show progress bars during download' ) + # Concurrent download options + parser.add_argument( + '--concurrent', + action='store_true', + help='download PDFs in parallel using multiple threads' + ) + + parser.add_argument( + '--max-workers', + type=int, + default=5, + metavar='N', + help='maximum concurrent download threads (default: 5, used with --concurrent)' + ) + + # Catalog option + parser.add_argument( + '--catalog', + action='store_true', + help='track downloaded documents in the persistent catalog' + ) + + parser.add_argument( + '--catalog-db', + type=str, + metavar='PATH', + help='path to catalog database file (default: ~/.fetcharoo/catalog.db)' + ) + + # Schema option + parser.add_argument( + '--schema', + type=str, + metavar='NAME', + help='use a site schema (use "auto" for auto-detection, or a schema name)' + ) + # Verbosity options parser.add_argument( '-q', '--quiet', @@ -218,6 +269,262 @@ def create_parser() -> argparse.ArgumentParser: return parser +# Keep backward compatibility alias +def create_parser() -> argparse.ArgumentParser: + """Create the argument parser (alias for create_download_parser).""" + return create_download_parser() + + +def _handle_diff(argv: list) -> int: + """Handle the 'diff' subcommand.""" + from fetcharoo.catalog import DocumentCatalog + from fetcharoo.watcher import diff_once + from fetcharoo.notifications import has_changes + + parser = argparse.ArgumentParser(prog='fetcharoo diff', description='Check for new/changed PDFs since last run') + parser.add_argument('url', type=str, help='URL to check for changes') + parser.add_argument('-d', '--depth', type=int, default=0, help='recursion depth') + parser.add_argument('--format', type=str, choices=['text', 'json'], default='text', help='output format') + parser.add_argument('--catalog-db', type=str, metavar='PATH', help='catalog database path') + parser.add_argument('--delay', type=float, default=0.5, help='request delay') + parser.add_argument('--timeout', type=int, default=30, help='request timeout') + parser.add_argument('--respect-robots', action='store_true', help='respect robots.txt') + parser.add_argument('--user-agent', type=str, help='custom user agent') + parser.add_argument('-q', '--quiet', action='count', default=0) + parser.add_argument('-v', '--verbose', action='count', default=0) + + args = parser.parse_args(argv) + configure_logging(args.quiet, args.verbose) + if args.user_agent: + set_default_user_agent(args.user_agent) + + catalog = DocumentCatalog(db_path=args.catalog_db) + try: + diff = diff_once( + url=args.url, + catalog=catalog, + recursion_depth=args.depth, + request_delay=args.delay, + timeout=args.timeout, + respect_robots=args.respect_robots, + user_agent=args.user_agent, + output_format=args.format, + ) + return 0 if has_changes(diff) else 1 + finally: + catalog.close() + + +def _handle_watch(argv: list) -> int: + """Handle the 'watch' subcommand.""" + from fetcharoo.catalog import DocumentCatalog + from fetcharoo.watcher import DocumentWatcher + + parser = argparse.ArgumentParser(prog='fetcharoo watch', description='Continuously monitor a URL for new/changed PDFs') + parser.add_argument('url', type=str, help='URL to watch') + parser.add_argument('-d', '--depth', type=int, default=0, help='recursion depth') + parser.add_argument('--interval', type=float, default=3600, metavar='SECONDS', help='check interval (default: 3600)') + parser.add_argument('--notify', type=str, choices=['stdout', 'json', 'webhook', 'command'], default='stdout', help='notification method') + parser.add_argument('--webhook', type=str, metavar='URL', help='webhook URL') + parser.add_argument('--on-command', type=str, metavar='CMD', help='shell command on change') + parser.add_argument('--catalog-db', type=str, metavar='PATH', help='catalog database path') + parser.add_argument('--delay', type=float, default=0.5, help='request delay') + parser.add_argument('--timeout', type=int, default=30, help='request timeout') + parser.add_argument('--respect-robots', action='store_true', help='respect robots.txt') + parser.add_argument('--user-agent', type=str, help='custom user agent') + parser.add_argument('-q', '--quiet', action='count', default=0) + parser.add_argument('-v', '--verbose', action='count', default=0) + + args = parser.parse_args(argv) + configure_logging(args.quiet, args.verbose) + if args.user_agent: + set_default_user_agent(args.user_agent) + + catalog = DocumentCatalog(db_path=args.catalog_db) + try: + watcher = DocumentWatcher( + url=args.url, + catalog=catalog, + recursion_depth=args.depth, + request_delay=args.delay, + timeout=args.timeout, + respect_robots=args.respect_robots, + user_agent=args.user_agent, + ) + watcher.watch( + interval=args.interval, + notify=args.notify, + webhook_url=args.webhook, + command=args.on_command, + ) + return 0 + finally: + catalog.close() + + +def _handle_catalog(argv: list) -> int: + """Handle the 'catalog' subcommand.""" + from fetcharoo.catalog import DocumentCatalog + + if not argv: + print("Usage: fetcharoo catalog {show|export|search|runs|duplicates}") + return 1 + + action = argv[0] + rest = argv[1:] + + parser = argparse.ArgumentParser(prog=f'fetcharoo catalog {action}') + parser.add_argument('--catalog-db', type=str, metavar='PATH', help='catalog database path') + + if action == 'show': + parser.add_argument('--source', type=str, help='filter by source URL') + args = parser.parse_args(rest) + catalog = DocumentCatalog(db_path=args.catalog_db) + try: + docs = catalog.get_active_documents(source_page=args.source) + if not docs: + print("Catalog is empty.") + return 0 + print(f"Tracked documents: {len(docs)}") + for doc in docs: + status_mark = {'active': ' ', 'removed': '-', 'changed': '~'}.get(doc.status, '?') + size = f"{doc.size_bytes:,} bytes" if doc.size_bytes else "unknown size" + print(f" [{status_mark}] {doc.url}") + print(f" {doc.filename or 'unnamed'} | {size} | last seen: {doc.last_seen or 'never'}") + return 0 + finally: + catalog.close() + + elif action == 'export': + parser.add_argument('--format', type=str, choices=['json', 'csv'], default='json', help='export format') + args = parser.parse_args(rest) + catalog = DocumentCatalog(db_path=args.catalog_db) + try: + if args.format == 'json': + print(catalog.export_json()) + else: + print(catalog.export_csv()) + return 0 + finally: + catalog.close() + + elif action == 'search': + parser.add_argument('query', type=str, help='search string') + args = parser.parse_args(rest) + catalog = DocumentCatalog(db_path=args.catalog_db) + try: + docs = catalog.search(args.query) + if not docs: + print(f"No documents matching '{args.query}'") + return 1 + print(f"Found {len(docs)} document(s):") + for doc in docs: + print(f" {doc.url} [{doc.status}]") + return 0 + finally: + catalog.close() + + elif action == 'runs': + parser.add_argument('--limit', type=int, default=20, help='max runs to show') + args = parser.parse_args(rest) + catalog = DocumentCatalog(db_path=args.catalog_db) + try: + runs = catalog.get_runs(limit=args.limit) + if not runs: + print("No runs recorded.") + return 0 + print(f"Recent runs ({len(runs)}):") + for run in runs: + print(f" {run.timestamp} | {run.url}") + print(f" found={run.documents_found} new={run.documents_new} " + f"changed={run.documents_changed} removed={run.documents_removed}") + return 0 + finally: + catalog.close() + + elif action == 'duplicates': + args = parser.parse_args(rest) + catalog = DocumentCatalog(db_path=args.catalog_db) + try: + dupes = catalog.find_duplicates() + if not dupes: + print("No duplicate documents found.") + return 0 + print(f"Found {len(dupes)} group(s) of duplicates:") + for hash_val, docs in dupes.items(): + print(f"\n Content hash: {hash_val[:16]}...") + for doc in docs: + print(f" {doc.url}") + return 0 + finally: + catalog.close() + + else: + print(f"Unknown catalog action: {action}") + print("Usage: fetcharoo catalog {show|export|search|runs|duplicates}") + return 1 + + +def _handle_schemas(argv: list) -> int: + """Handle the 'schemas' subcommand.""" + from fetcharoo.schemas import find_schema, list_schemas + + if not argv: + print("Usage: fetcharoo schemas {list|match }") + return 1 + + action = argv[0] + + if action == 'list': + schemas = list_schemas() + if not schemas: + print("No schemas available.") + return 0 + print(f"Available schemas ({len(schemas)}):") + for schema in schemas: + print(f" {schema.name:20s} {schema.description or ''}") + print(f" {'':20s} pattern: {schema.url_pattern}") + print(f" {'':20s} depth: {schema.recommended_depth}, delay: {schema.request_delay}s") + print() + return 0 + + elif action == 'match': + if len(argv) < 2: + print("Usage: fetcharoo schemas match ") + return 1 + url = argv[1] + schema = find_schema(url) + if schema: + print(f"Matched schema: {schema.name}") + print(f" Description: {schema.description}") + print(f" Recommended depth: {schema.recommended_depth}") + print(f" Request delay: {schema.request_delay}s") + if schema.include_patterns: + print(f" Include patterns: {schema.include_patterns}") + if schema.exclude_patterns: + print(f" Exclude patterns: {schema.exclude_patterns}") + else: + print(f"No schema matches: {url}") + return 1 + return 0 + + else: + print(f"Unknown schemas action: {action}") + print("Usage: fetcharoo schemas {list|match }") + return 1 + + +def _handle_mcp(argv: list) -> int: + """Handle the 'mcp' subcommand.""" + if not argv or argv[0] != 'serve': + print("Usage: fetcharoo mcp serve") + return 1 + + from fetcharoo.mcp_server import main as mcp_main + mcp_main() + return 0 + + def main(argv: Optional[list] = None) -> int: """ Main entry point for the CLI. @@ -228,9 +535,38 @@ def main(argv: Optional[list] = None) -> int: Returns: Exit code (0 for success, 1 for failure). """ - parser = create_parser() + if argv is None: + argv = sys.argv[1:] + + # Route to subcommand if the first argument is a known subcommand + if argv and argv[0] in SUBCOMMANDS: + command = argv[0] + rest = argv[1:] + try: + if command == 'diff': + return _handle_diff(rest) + elif command == 'watch': + return _handle_watch(rest) + elif command == 'catalog': + return _handle_catalog(rest) + elif command == 'schemas': + return _handle_schemas(rest) + elif command == 'mcp': + return _handle_mcp(rest) + except KeyboardInterrupt: + print("\n\nOperation cancelled by user.") + return 1 + except Exception as e: + print(f"\nError: {e}", file=sys.stderr) + return 1 + + # Default: download command + parser = create_download_parser() + + if not argv: + parser.print_help() + sys.exit(2) - # Parse arguments args = parser.parse_args(argv) # Configure logging based on verbosity flags @@ -240,6 +576,29 @@ def main(argv: Optional[list] = None) -> int: if args.user_agent: set_default_user_agent(args.user_agent) + # Auto-detect or apply schema + if args.schema: + from fetcharoo.schemas import find_schema, list_schemas + if args.schema == 'auto': + schema = find_schema(args.url) + else: + schemas = list_schemas() + schema = next((s for s in schemas if s.name == args.schema), None) + + if schema: + print(f"Using schema: {schema.name}") + if args.depth == 0 and schema.recommended_depth > 0: + args.depth = schema.recommended_depth + if args.delay == 0.5 and schema.request_delay != 0.5: + args.delay = schema.request_delay + if args.sort_by is None and schema.sort_by: + args.sort_by = schema.sort_by + if not args.include and not args.exclude: + schema_filter = schema.get_filter_config() + if schema_filter: + args.include = schema_filter.filename_include or None + args.exclude = schema_filter.filename_exclude or None + # Build filter config if any filtering options are provided filter_config = None if args.include or args.exclude or args.min_size or args.max_size: @@ -286,13 +645,15 @@ def main(argv: Optional[list] = None) -> int: print(f"Output directory: {args.output}") print(f"Recursion depth: {args.depth}") print(f"Mode: {mode}") + if args.concurrent: + print(f"Concurrent: {args.max_workers} workers") if args.respect_robots: print("Respecting robots.txt rules") if filter_config: print("Filtering enabled") print() - success = download_pdfs_from_webpage( + result = download_pdfs_from_webpage( args.url, recursion_depth=args.depth, mode=mode, @@ -305,10 +666,29 @@ def main(argv: Optional[list] = None) -> int: show_progress=args.progress, filter_config=filter_config, sort_by=args.sort_by, - output_name=args.output_name + output_name=args.output_name, + concurrent=args.concurrent, + max_workers=args.max_workers, ) - if success: + # Optionally record in catalog + if args.catalog and result: + from fetcharoo.catalog import DocumentCatalog + catalog = DocumentCatalog(db_path=args.catalog_db) + try: + pdf_links = find_pdfs_from_webpage( + args.url, + recursion_depth=args.depth, + request_delay=args.delay, + timeout=args.timeout, + ) + for link in pdf_links: + catalog.record_discovery(link, source_page=args.url) + print(f"Recorded {len(pdf_links)} document(s) in catalog.") + finally: + catalog.close() + + if result: print(f"\nSuccessfully downloaded PDFs to: {args.output}") return 0 else: diff --git a/fetcharoo/fetcharoo.py b/fetcharoo/fetcharoo.py index be6d1a8..057edba 100644 --- a/fetcharoo/fetcharoo.py +++ b/fetcharoo/fetcharoo.py @@ -12,6 +12,7 @@ from typing import List, Set, Optional, Union, Dict, Callable from fetcharoo.downloader import download_pdf +from fetcharoo.async_downloader import download_pdfs_concurrent from fetcharoo.pdf_utils import merge_pdfs, save_pdf_to_file from fetcharoo.filtering import FilterConfig, should_download_pdf @@ -433,7 +434,9 @@ def process_pdfs( filter_config: Optional[FilterConfig] = None, sort_by: Optional[str] = None, sort_key: Optional[Callable[[str], any]] = None, - output_name: Optional[str] = None + output_name: Optional[str] = None, + concurrent: bool = False, + max_workers: int = 5 ) -> ProcessResult: """ Download and process each PDF file based on the specified mode ('separate' or 'merge'). @@ -455,6 +458,8 @@ def process_pdfs( Takes precedence over sort_by if both are provided. output_name: Custom filename for merged PDF output. Only used in 'merge' mode. Defaults to 'merged.pdf' if not specified. + concurrent: If True, download PDFs in parallel using a thread pool. Defaults to False. + max_workers: Maximum number of concurrent download threads. Defaults to 5. Returns: ProcessResult with detailed information about the operation. @@ -507,15 +512,32 @@ def process_pdfs( if user_agent is None: user_agent = get_default_user_agent() - # Download PDF contents with optional progress bar - if show_progress: - pdf_contents = [download_pdf(pdf_link, timeout, user_agent=user_agent) for pdf_link in tqdm(pdf_links, desc="Downloading PDFs")] + # Download PDF contents + if concurrent and len(pdf_links) > 1: + # Parallel downloads using thread pool + progress_bar = tqdm(total=len(pdf_links), desc="Downloading PDFs") if show_progress else None + callback = (lambda: progress_bar.update(1)) if progress_bar else None + download_results = download_pdfs_concurrent( + pdf_links, + max_workers=max_workers, + timeout=timeout, + user_agent=user_agent, + progress_callback=callback, + ) + if progress_bar: + progress_bar.close() + pdf_contents_with_links = download_results else: - pdf_contents = [download_pdf(pdf_link, timeout, user_agent=user_agent) for pdf_link in pdf_links] + # Sequential downloads (original behavior) + if show_progress: + pdf_contents = [download_pdf(pdf_link, timeout, user_agent=user_agent) for pdf_link in tqdm(pdf_links, desc="Downloading PDFs")] + else: + pdf_contents = [download_pdf(pdf_link, timeout, user_agent=user_agent) for pdf_link in pdf_links] + pdf_contents_with_links = list(zip(pdf_contents, pdf_links)) # Separate valid and failed downloads pdf_contents_valid = [] - for content, link in zip(pdf_contents, pdf_links): + for content, link in pdf_contents_with_links: if content is not None and content.startswith(b'%PDF'): pdf_contents_valid.append((content, link)) else: @@ -604,7 +626,9 @@ def download_pdfs_from_webpage( filter_config: Optional[FilterConfig] = None, sort_by: Optional[str] = None, sort_key: Optional[Callable[[str], any]] = None, - output_name: Optional[str] = None + output_name: Optional[str] = None, + concurrent: bool = False, + max_workers: int = 5 ) -> Union[ProcessResult, Dict[str, Union[List[str], int]]]: """ Download PDFs from a webpage and process them based on the specified mode. @@ -629,6 +653,8 @@ def download_pdfs_from_webpage( Takes precedence over sort_by if both are provided. output_name: Custom filename for merged PDF output. Only used in 'merge' mode. Defaults to 'merged.pdf' if not specified. + concurrent: If True, download PDFs in parallel. Defaults to False. + max_workers: Maximum concurrent download threads. Defaults to 5. Returns: If dry_run=True: A dict with {"urls": [...], "count": N} @@ -678,5 +704,7 @@ def download_pdfs_from_webpage( filter_config=filter_config, sort_by=sort_by, sort_key=sort_key, - output_name=output_name + output_name=output_name, + concurrent=concurrent, + max_workers=max_workers, ) diff --git a/fetcharoo/mcp_server.py b/fetcharoo/mcp_server.py new file mode 100644 index 0000000..bc507b9 --- /dev/null +++ b/fetcharoo/mcp_server.py @@ -0,0 +1,303 @@ +""" +MCP (Model Context Protocol) server for fetcharoo. + +Exposes fetcharoo's stateful capabilities as MCP tools, enabling AI agents +to discover, download, and track PDF documents persistently. + +Usage: + fetcharoo mcp serve + # or directly: + python -m fetcharoo.mcp_server +""" + +import json +import logging +import os +import sys +from typing import Optional + +logger = logging.getLogger('fetcharoo') + + +def _check_mcp_available(): + """Check if the MCP/FastMCP library is installed.""" + try: + from mcp.server.fastmcp import FastMCP + return True + except ImportError: + return False + + +def create_server(): + """ + Create and configure the fetcharoo MCP server. + + Returns: + A configured FastMCP server instance. + + Raises: + ImportError: If the mcp package is not installed. + """ + try: + from mcp.server.fastmcp import FastMCP + except ImportError: + raise ImportError( + "MCP support requires the 'mcp' package. " + "Install it with: pip install 'fetcharoo[mcp]' or pip install mcp" + ) + + from fetcharoo.catalog import DocumentCatalog, DiffResult + from fetcharoo.fetcharoo import find_pdfs_from_webpage, download_pdfs_from_webpage + from fetcharoo.filtering import FilterConfig + from fetcharoo.watcher import diff_once + + mcp = FastMCP( + "fetcharoo", + description="PDF document discovery, download, and tracking from websites", + ) + + # Shared catalog instance + _catalog = DocumentCatalog() + + @mcp.tool() + def discover_pdfs( + url: str, + recursion_depth: int = 0, + include_patterns: Optional[list] = None, + exclude_patterns: Optional[list] = None, + ) -> str: + """ + Discover all PDF documents available on a webpage. + + Crawls the given URL (optionally following links to the specified depth) + and returns a structured list of all PDF URLs found. + + Args: + url: The webpage URL to search for PDFs. + recursion_depth: How many levels of links to follow (0-5). + include_patterns: Filename patterns to include (e.g., ['report*.pdf']). + exclude_patterns: Filename patterns to exclude (e.g., ['*draft*']). + """ + pdf_urls = find_pdfs_from_webpage( + url, + recursion_depth=min(recursion_depth, 5), + ) + + # Apply filtering if patterns provided + if include_patterns or exclude_patterns: + from fetcharoo.filtering import should_download_pdf + config = FilterConfig( + filename_include=include_patterns or [], + filename_exclude=exclude_patterns or [], + ) + pdf_urls = [u for u in pdf_urls if should_download_pdf(u, filter_config=config)] + + # Record discoveries in catalog + for pdf_url in pdf_urls: + _catalog.record_discovery(pdf_url, source_page=url) + + return json.dumps({ + "source_url": url, + "count": len(pdf_urls), + "pdfs": pdf_urls, + }, indent=2) + + @mcp.tool() + def download_pdfs( + url: str, + output_dir: str = "output", + recursion_depth: int = 0, + merge: bool = False, + output_name: Optional[str] = None, + ) -> str: + """ + Download PDF documents from a webpage with fetcharoo's full reliability + (retry logic, rate limiting, deduplication, security hardening). + + Args: + url: The webpage URL to download PDFs from. + output_dir: Directory to save downloaded PDFs. + recursion_depth: How many levels of links to follow (0-5). + merge: If True, merge all PDFs into a single file. + output_name: Custom filename for merged output. + """ + result = download_pdfs_from_webpage( + url, + recursion_depth=min(recursion_depth, 5), + mode='merge' if merge else 'separate', + write_dir=output_dir, + output_name=output_name, + ) + + return json.dumps({ + "success": result.success, + "downloaded_count": result.downloaded_count, + "filtered_count": result.filtered_count, + "failed_count": result.failed_count, + "files_created": result.files_created, + "errors": result.errors, + }, indent=2) + + @mcp.tool() + def catalog_query( + source_url: Optional[str] = None, + ) -> str: + """ + Query the persistent document catalog. + + Shows all documents fetcharoo has ever seen, with metadata including + when they were first/last seen, content hashes, and file sizes. + This is persistent memory across sessions. + + Args: + source_url: If provided, only show documents from this source page. + """ + docs = _catalog.get_active_documents(source_page=source_url) + return json.dumps({ + "total_documents": len(docs), + "documents": [ + { + "url": d.url, + "filename": d.filename, + "size_bytes": d.size_bytes, + "first_seen": d.first_seen, + "last_seen": d.last_seen, + "last_changed": d.last_changed, + "status": d.status, + "metadata": d.metadata, + } + for d in docs + ], + }, indent=2) + + @mcp.tool() + def catalog_diff( + url: str, + recursion_depth: int = 0, + ) -> str: + """ + Check what's changed since the last time fetcharoo looked at a URL. + + Compares the current state of PDFs on a webpage against what's stored + in the catalog. Reports new, removed, and unchanged documents. + + Args: + url: The webpage URL to check for changes. + recursion_depth: How many levels of links to follow (0-5). + """ + current_urls = find_pdfs_from_webpage( + url, + recursion_depth=min(recursion_depth, 5), + ) + + diff = _catalog.diff(current_urls) + + # Update catalog + for doc in diff.new: + _catalog.record_discovery(doc.url, source_page=url) + for doc in diff.removed: + _catalog.mark_removed(doc.url) + _catalog.record_run(url, diff) + + return json.dumps({ + "source_url": url, + "summary": { + "new": len(diff.new), + "changed": len(diff.changed), + "removed": len(diff.removed), + "unchanged": len(diff.unchanged), + }, + "new_documents": [d.url for d in diff.new], + "removed_documents": [d.url for d in diff.removed], + "unchanged_documents": [d.url for d in diff.unchanged], + }, indent=2) + + @mcp.tool() + def catalog_search( + query: str, + ) -> str: + """ + Search across all tracked documents by URL or filename substring. + + Args: + query: Search string to match against document URLs and filenames. + """ + docs = _catalog.search(query) + return json.dumps({ + "query": query, + "results_count": len(docs), + "results": [ + { + "url": d.url, + "filename": d.filename, + "status": d.status, + "first_seen": d.first_seen, + "last_seen": d.last_seen, + } + for d in docs + ], + }, indent=2) + + @mcp.tool() + def get_document_metadata( + url: str, + ) -> str: + """ + Get detailed information about a specific tracked document. + + Args: + url: The URL of the document to look up. + """ + doc = _catalog.get_document(url) + if doc is None: + return json.dumps({"error": f"Document not found: {url}"}) + + return json.dumps({ + "url": doc.url, + "filename": doc.filename, + "content_hash": doc.content_hash, + "size_bytes": doc.size_bytes, + "first_seen": doc.first_seen, + "last_seen": doc.last_seen, + "last_changed": doc.last_changed, + "status": doc.status, + "source_page": doc.source_page, + "metadata": doc.metadata, + }, indent=2) + + @mcp.tool() + def find_duplicate_documents() -> str: + """ + Find documents that have identical content but different URLs. + + Uses content hashing to detect when the same PDF exists at multiple URLs. + """ + duplicates = _catalog.find_duplicates() + result = {} + for hash_val, docs in duplicates.items(): + result[hash_val] = [d.url for d in docs] + + return json.dumps({ + "duplicate_groups": len(result), + "duplicates": result, + }, indent=2) + + return mcp + + +def main(): + """Run the fetcharoo MCP server.""" + if not _check_mcp_available(): + print( + "Error: MCP support requires the 'mcp' package.\n" + "Install it with: pip install 'fetcharoo[mcp]' or pip install mcp", + file=sys.stderr, + ) + sys.exit(1) + + server = create_server() + server.run() + + +if __name__ == '__main__': + main() diff --git a/fetcharoo/notifications.py b/fetcharoo/notifications.py new file mode 100644 index 0000000..fa7ff6a --- /dev/null +++ b/fetcharoo/notifications.py @@ -0,0 +1,166 @@ +""" +Notification handlers for fetcharoo watch mode. + +Supports multiple notification channels: stdout, JSON, webhook, and command execution. +""" + +import json +import logging +import os +import subprocess +from typing import List, Optional + +import requests + +from fetcharoo.catalog import DiffResult, DocumentRecord + +logger = logging.getLogger('fetcharoo') + + +def format_diff_text(diff: DiffResult, url: str) -> str: + """ + Format a DiffResult as human-readable text with git-like prefixes. + + Args: + diff: The DiffResult to format. + url: The source URL that was checked. + + Returns: + Formatted text string. + """ + lines = [] + lines.append(f"Changes detected for: {url}") + lines.append(f" New: {len(diff.new)} Changed: {len(diff.changed)} Removed: {len(diff.removed)} Unchanged: {len(diff.unchanged)}") + lines.append("") + + if diff.new: + for doc in diff.new: + lines.append(f" + {doc.url}") + if diff.changed: + for doc in diff.changed: + lines.append(f" ~ {doc.url}") + if diff.removed: + for doc in diff.removed: + lines.append(f" - {doc.url}") + + if not diff.new and not diff.changed and not diff.removed: + lines.append(" No changes detected.") + + return "\n".join(lines) + + +def format_diff_json(diff: DiffResult, url: str) -> str: + """ + Format a DiffResult as a JSON string. + + Args: + diff: The DiffResult to format. + url: The source URL that was checked. + + Returns: + JSON string. + """ + data = { + "source_url": url, + "summary": { + "new": len(diff.new), + "changed": len(diff.changed), + "removed": len(diff.removed), + "unchanged": len(diff.unchanged), + }, + "new": [doc.url for doc in diff.new], + "changed": [doc.url for doc in diff.changed], + "removed": [doc.url for doc in diff.removed], + } + return json.dumps(data, indent=2) + + +def notify_stdout(diff: DiffResult, url: str) -> None: + """Print diff to stdout in human-readable format.""" + print(format_diff_text(diff, url)) + + +def notify_json(diff: DiffResult, url: str) -> None: + """Print diff to stdout as JSON.""" + print(format_diff_json(diff, url)) + + +def notify_webhook(diff: DiffResult, url: str, webhook_url: str) -> bool: + """ + POST diff as JSON to a webhook URL. + + Args: + diff: The DiffResult to send. + url: The source URL that was checked. + webhook_url: The webhook URL to POST to. + + Returns: + True if the webhook responded successfully. + """ + payload = json.loads(format_diff_json(diff, url)) + try: + response = requests.post( + webhook_url, + json=payload, + headers={'Content-Type': 'application/json'}, + timeout=30, + ) + response.raise_for_status() + logger.info(f"Webhook notification sent to {webhook_url}") + return True + except requests.exceptions.RequestException as e: + logger.error(f"Webhook notification failed: {e}") + return False + + +def notify_command(diff: DiffResult, url: str, command: str) -> int: + """ + Run a shell command with change info as environment variables. + + Environment variables set: + FETCHAROO_URL: The source URL + FETCHAROO_NEW_COUNT: Number of new documents + FETCHAROO_CHANGED_COUNT: Number of changed documents + FETCHAROO_REMOVED_COUNT: Number of removed documents + FETCHAROO_NEW_URLS: Newline-separated list of new URLs + FETCHAROO_CHANGED_URLS: Newline-separated list of changed URLs + FETCHAROO_REMOVED_URLS: Newline-separated list of removed URLs + + Args: + diff: The DiffResult. + url: The source URL. + command: Shell command to execute. + + Returns: + The command's exit code. + """ + env = os.environ.copy() + env['FETCHAROO_URL'] = url + env['FETCHAROO_NEW_COUNT'] = str(len(diff.new)) + env['FETCHAROO_CHANGED_COUNT'] = str(len(diff.changed)) + env['FETCHAROO_REMOVED_COUNT'] = str(len(diff.removed)) + env['FETCHAROO_NEW_URLS'] = "\n".join(doc.url for doc in diff.new) + env['FETCHAROO_CHANGED_URLS'] = "\n".join(doc.url for doc in diff.changed) + env['FETCHAROO_REMOVED_URLS'] = "\n".join(doc.url for doc in diff.removed) + + try: + result = subprocess.run( + command, shell=True, env=env, timeout=120, + capture_output=True, text=True + ) + if result.stdout: + logger.info(f"Command output: {result.stdout.strip()}") + if result.stderr: + logger.warning(f"Command stderr: {result.stderr.strip()}") + return result.returncode + except subprocess.TimeoutExpired: + logger.error(f"Command timed out: {command}") + return -1 + except Exception as e: + logger.error(f"Command failed: {e}") + return -1 + + +def has_changes(diff: DiffResult) -> bool: + """Check if a DiffResult contains any changes.""" + return bool(diff.new or diff.changed or diff.removed) diff --git a/fetcharoo/schemas/__init__.py b/fetcharoo/schemas/__init__.py index f34042d..76b0f3c 100644 --- a/fetcharoo/schemas/__init__.py +++ b/fetcharoo/schemas/__init__.py @@ -6,7 +6,7 @@ for downloading PDFs from different websites. Example: - >>> from fetcharoo.schemas import SiteSchema + >>> from fetcharoo.schemas import SiteSchema, find_schema >>> schema = SiteSchema( ... name='my_site', ... url_pattern=r'https://mysite\\.com/.*', @@ -16,8 +16,41 @@ True """ +from typing import List, Optional + from fetcharoo.schemas.base import SiteSchema + +def find_schema(url: str) -> Optional[SiteSchema]: + """ + Find a built-in schema that matches the given URL. + + Args: + url: The URL to match against registered schemas. + + Returns: + The first matching SiteSchema, or None if no match found. + """ + from fetcharoo.schemas.sites import BUILTIN_SCHEMAS + for schema in BUILTIN_SCHEMAS: + if schema.matches(url): + return schema + return None + + +def list_schemas() -> List[SiteSchema]: + """ + List all available built-in schemas. + + Returns: + List of all registered SiteSchema instances. + """ + from fetcharoo.schemas.sites import BUILTIN_SCHEMAS + return list(BUILTIN_SCHEMAS) + + __all__ = [ "SiteSchema", + "find_schema", + "list_schemas", ] diff --git a/fetcharoo/schemas/sites/__init__.py b/fetcharoo/schemas/sites/__init__.py new file mode 100644 index 0000000..ed83419 --- /dev/null +++ b/fetcharoo/schemas/sites/__init__.py @@ -0,0 +1,29 @@ +""" +Community site schemas for fetcharoo. + +Pre-built download configurations for common document repositories. +""" + +from fetcharoo.schemas.sites.arxiv import ARXIV_SCHEMA +from fetcharoo.schemas.sites.ietf_rfc import IETF_RFC_SCHEMA +from fetcharoo.schemas.sites.sec_edgar import SEC_EDGAR_SCHEMA +from fetcharoo.schemas.sites.w3c import W3C_SCHEMA +from fetcharoo.schemas.sites.federal_register import FEDERAL_REGISTER_SCHEMA + +# Registry of all built-in schemas +BUILTIN_SCHEMAS = [ + ARXIV_SCHEMA, + IETF_RFC_SCHEMA, + SEC_EDGAR_SCHEMA, + W3C_SCHEMA, + FEDERAL_REGISTER_SCHEMA, +] + +__all__ = [ + "ARXIV_SCHEMA", + "IETF_RFC_SCHEMA", + "SEC_EDGAR_SCHEMA", + "W3C_SCHEMA", + "FEDERAL_REGISTER_SCHEMA", + "BUILTIN_SCHEMAS", +] diff --git a/fetcharoo/schemas/sites/arxiv.py b/fetcharoo/schemas/sites/arxiv.py new file mode 100644 index 0000000..1b5d6a5 --- /dev/null +++ b/fetcharoo/schemas/sites/arxiv.py @@ -0,0 +1,20 @@ +"""Schema for downloading papers from arXiv.""" + +from fetcharoo.schemas.base import SiteSchema + +ARXIV_SCHEMA = SiteSchema( + name="arxiv", + url_pattern=r"https?://arxiv\.org/(abs|pdf|html)/\d+\.\d+", + description="arXiv preprint server — academic papers and preprints", + include_patterns=[], + exclude_patterns=[], + url_include_patterns=["*arxiv.org/pdf/*"], + url_exclude_patterns=[], + sort_by="alpha", + default_output_name="arxiv_papers.pdf", + recommended_depth=0, + request_delay=1.0, # arXiv rate-limits aggressively + test_url="https://arxiv.org/abs/2301.00001", + expected_min_pdfs=1, + version="1.0.0", +) diff --git a/fetcharoo/schemas/sites/federal_register.py b/fetcharoo/schemas/sites/federal_register.py new file mode 100644 index 0000000..f0b95fa --- /dev/null +++ b/fetcharoo/schemas/sites/federal_register.py @@ -0,0 +1,18 @@ +"""Schema for downloading Federal Register documents.""" + +from fetcharoo.schemas.base import SiteSchema + +FEDERAL_REGISTER_SCHEMA = SiteSchema( + name="federal_register", + url_pattern=r"https?://(www\.)?federalregister\.gov/(documents|articles)/.*", + description="Federal Register — U.S. government rules, proposed rules, and notices", + include_patterns=[], + exclude_patterns=[], + url_include_patterns=["*federalregister.gov/*"], + url_exclude_patterns=["*/comments/*", "*/docket*"], + sort_by="alpha", + default_output_name="federal_register.pdf", + recommended_depth=1, + request_delay=1.0, # Be respectful to government servers + version="1.0.0", +) diff --git a/fetcharoo/schemas/sites/ietf_rfc.py b/fetcharoo/schemas/sites/ietf_rfc.py new file mode 100644 index 0000000..39a9035 --- /dev/null +++ b/fetcharoo/schemas/sites/ietf_rfc.py @@ -0,0 +1,20 @@ +"""Schema for downloading IETF RFCs.""" + +from fetcharoo.schemas.base import SiteSchema + +IETF_RFC_SCHEMA = SiteSchema( + name="ietf_rfc", + url_pattern=r"https?://(www\.)?rfc-editor\.org/.*|https?://datatracker\.ietf\.org/doc/.*", + description="IETF RFC Editor — Internet standards and specifications", + include_patterns=["rfc*.pdf"], + exclude_patterns=["*draft*"], + url_include_patterns=[], + url_exclude_patterns=["*/obsoleted-by/*"], + sort_by="numeric", + default_output_name="rfc_collection.pdf", + recommended_depth=1, + request_delay=0.5, + test_url="https://www.rfc-editor.org/rfc/rfc9110", + expected_min_pdfs=1, + version="1.0.0", +) diff --git a/fetcharoo/schemas/sites/sec_edgar.py b/fetcharoo/schemas/sites/sec_edgar.py new file mode 100644 index 0000000..e98d46a --- /dev/null +++ b/fetcharoo/schemas/sites/sec_edgar.py @@ -0,0 +1,20 @@ +"""Schema for downloading SEC EDGAR filings.""" + +from fetcharoo.schemas.base import SiteSchema + +SEC_EDGAR_SCHEMA = SiteSchema( + name="sec_edgar", + url_pattern=r"https?://(www\.)?sec\.gov/cgi-bin/browse-edgar.*|https?://efts\.sec\.gov/.*|https?://(www\.)?sec\.gov/Archives/.*", + description="SEC EDGAR — Company filings (10-K, 10-Q, 8-K, etc.)", + include_patterns=[], + exclude_patterns=["*R9999*", "*ex21*"], + url_include_patterns=["*Archives/edgar/data/*"], + url_exclude_patterns=["*/index.*"], + sort_by="alpha", + default_output_name="sec_filing.pdf", + recommended_depth=2, + request_delay=0.5, # SEC asks for <= 10 requests/second + test_url="https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&company=apple", + expected_min_pdfs=1, + version="1.0.0", +) diff --git a/fetcharoo/schemas/sites/w3c.py b/fetcharoo/schemas/sites/w3c.py new file mode 100644 index 0000000..e3d20bd --- /dev/null +++ b/fetcharoo/schemas/sites/w3c.py @@ -0,0 +1,18 @@ +"""Schema for downloading W3C specifications.""" + +from fetcharoo.schemas.base import SiteSchema + +W3C_SCHEMA = SiteSchema( + name="w3c", + url_pattern=r"https?://(www\.)?w3\.org/(TR|standards)/.*", + description="W3C — Web standards and technical reports", + include_patterns=[], + exclude_patterns=["*diff*", "*review*"], + url_include_patterns=["*w3.org/TR/*"], + url_exclude_patterns=["*/WD-*"], # Exclude working drafts by default + sort_by="alpha", + default_output_name="w3c_specs.pdf", + recommended_depth=1, + request_delay=0.5, + version="1.0.0", +) diff --git a/fetcharoo/watcher.py b/fetcharoo/watcher.py new file mode 100644 index 0000000..e2e72fb --- /dev/null +++ b/fetcharoo/watcher.py @@ -0,0 +1,202 @@ +""" +Document change monitoring for fetcharoo. + +Provides watch mode to detect new, changed, and removed PDFs on a website. +Supports one-shot diff (cron-friendly) and continuous watch modes. +""" + +import logging +import signal +import time +from typing import List, Optional + +from fetcharoo.catalog import DiffResult, DocumentCatalog +from fetcharoo.fetcharoo import find_pdfs_from_webpage +from fetcharoo.notifications import ( + format_diff_json, + format_diff_text, + has_changes, + notify_command, + notify_json, + notify_stdout, + notify_webhook, +) + +logger = logging.getLogger('fetcharoo') + + +class DocumentWatcher: + """ + Watches a URL for document changes over time. + + Uses a DocumentCatalog for persistent state and supports + multiple notification methods. + """ + + def __init__( + self, + url: str, + catalog: DocumentCatalog, + recursion_depth: int = 0, + request_delay: float = 0.5, + timeout: int = 30, + respect_robots: bool = False, + user_agent: Optional[str] = None, + ): + self.url = url + self.catalog = catalog + self.recursion_depth = recursion_depth + self.request_delay = request_delay + self.timeout = timeout + self.respect_robots = respect_robots + self.user_agent = user_agent + self._stop = False + + def check_once(self) -> DiffResult: + """ + Perform a single check: crawl the URL, compare against catalog. + + Returns: + DiffResult with new, changed, removed, unchanged documents. + """ + # Discover current PDFs + current_urls = find_pdfs_from_webpage( + self.url, + recursion_depth=self.recursion_depth, + request_delay=self.request_delay, + timeout=self.timeout, + respect_robots=self.respect_robots, + user_agent=self.user_agent, + ) + + # Compare against catalog + diff = self.catalog.diff(current_urls) + + # Update catalog with new discoveries + for doc in diff.new: + self.catalog.record_discovery( + doc.url, source_page=self.url + ) + + # Mark removed documents + for doc in diff.removed: + self.catalog.mark_removed(doc.url) + + # Record the run + self.catalog.record_run(self.url, diff) + + return diff + + def watch( + self, + interval: float = 3600, + notify: str = 'stdout', + webhook_url: Optional[str] = None, + command: Optional[str] = None, + on_change_only: bool = True, + ) -> None: + """ + Continuously watch for changes at a regular interval. + + Args: + interval: Seconds between checks. + notify: Notification method ('stdout', 'json', 'webhook', 'command'). + webhook_url: URL for webhook notifications. + command: Shell command for command notifications. + on_change_only: If True, only notify when changes are detected. + """ + # Handle graceful shutdown + def _signal_handler(signum, frame): + self._stop = True + + signal.signal(signal.SIGINT, _signal_handler) + signal.signal(signal.SIGTERM, _signal_handler) + + logger.info(f"Watching {self.url} every {interval}s (Ctrl+C to stop)") + print(f"Watching {self.url} every {interval:.0f}s (Ctrl+C to stop)") + + while not self._stop: + try: + diff = self.check_once() + + if not on_change_only or has_changes(diff): + self._notify(diff, notify, webhook_url, command) + + if not self._stop: + time.sleep(interval) + + except KeyboardInterrupt: + break + except Exception as e: + logger.error(f"Watch error: {e}") + if not self._stop: + time.sleep(interval) + + print("\nWatch stopped.") + + def _notify( + self, + diff: DiffResult, + method: str, + webhook_url: Optional[str] = None, + command: Optional[str] = None, + ) -> None: + """Dispatch notification to the appropriate handler.""" + if method == 'stdout': + notify_stdout(diff, self.url) + elif method == 'json': + notify_json(diff, self.url) + elif method == 'webhook' and webhook_url: + notify_webhook(diff, self.url, webhook_url) + elif method == 'command' and command: + notify_command(diff, self.url, command) + else: + notify_stdout(diff, self.url) + + +def diff_once( + url: str, + catalog: DocumentCatalog, + recursion_depth: int = 0, + request_delay: float = 0.5, + timeout: int = 30, + respect_robots: bool = False, + user_agent: Optional[str] = None, + output_format: str = 'text', +) -> DiffResult: + """ + One-shot diff: compare current state against catalog and print results. + + Designed for cron jobs. Returns appropriate exit-code-friendly result. + + Args: + url: The URL to check. + catalog: The DocumentCatalog instance. + recursion_depth: Crawl depth. + request_delay: Delay between requests. + timeout: Request timeout. + respect_robots: Whether to respect robots.txt. + user_agent: Custom user agent. + output_format: 'text' or 'json'. + + Returns: + The DiffResult. + """ + watcher = DocumentWatcher( + url=url, + catalog=catalog, + recursion_depth=recursion_depth, + request_delay=request_delay, + timeout=timeout, + respect_robots=respect_robots, + user_agent=user_agent, + ) + + diff = watcher.check_once() + + if output_format == 'json': + print(format_diff_json(diff, url)) + else: + print(format_diff_text(diff, url)) + + return diff diff --git a/pyproject.toml b/pyproject.toml index 69ddfca..e7b26c1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,7 +1,7 @@ [tool.poetry] name = "fetcharoo" -version = "0.2.0" -description = "A Python library for downloading PDF files from webpages, with support for recursive link following and PDF merging." +version = "0.3.0" +description = "A Python library for downloading PDF files from webpages, with support for recursive link following, PDF merging, concurrent downloads, persistent document tracking, and change monitoring." authors = ["Mark A. Lifson, Ph.D. "] license = "MIT" readme = "README.md" diff --git a/tests/test_async_downloader.py b/tests/test_async_downloader.py new file mode 100644 index 0000000..19af0b0 --- /dev/null +++ b/tests/test_async_downloader.py @@ -0,0 +1,85 @@ +"""Tests for concurrent PDF downloading.""" + +import unittest +from unittest.mock import patch, MagicMock + +from fetcharoo.async_downloader import download_pdfs_concurrent, RateLimiter + + +class TestRateLimiter(unittest.TestCase): + """Test the thread-safe rate limiter.""" + + def test_rate_limiter_creates_with_interval(self): + limiter = RateLimiter(min_interval=1.0) + self.assertEqual(limiter._min_interval, 1.0) + + def test_rate_limiter_wait_does_not_error(self): + limiter = RateLimiter(min_interval=0.0) + limiter.wait() # Should not raise + + +class TestDownloadPdfsConcurrent(unittest.TestCase): + """Test concurrent download functionality.""" + + def test_empty_list_returns_empty(self): + result = download_pdfs_concurrent([]) + self.assertEqual(result, []) + + @patch('fetcharoo.async_downloader.download_pdf') + def test_downloads_all_urls(self, mock_download): + mock_download.return_value = b'%PDF-1.4 fake content' + urls = [ + 'https://example.com/a.pdf', + 'https://example.com/b.pdf', + 'https://example.com/c.pdf', + ] + results = download_pdfs_concurrent(urls, max_workers=3, request_delay=0.0) + + self.assertEqual(len(results), 3) + for content, url in results: + self.assertEqual(content, b'%PDF-1.4 fake content') + self.assertIn(url, urls) + + @patch('fetcharoo.async_downloader.download_pdf') + def test_preserves_order(self, mock_download): + def side_effect(url, **kwargs): + return url.encode() + + mock_download.side_effect = side_effect + urls = ['https://example.com/1.pdf', 'https://example.com/2.pdf'] + results = download_pdfs_concurrent(urls, max_workers=2, request_delay=0.0) + + self.assertEqual(results[0][1], urls[0]) + self.assertEqual(results[1][1], urls[1]) + + @patch('fetcharoo.async_downloader.download_pdf') + def test_handles_failures_gracefully(self, mock_download): + mock_download.side_effect = [b'%PDF content', None, b'%PDF content'] + urls = ['https://example.com/a.pdf', 'https://example.com/b.pdf', 'https://example.com/c.pdf'] + results = download_pdfs_concurrent(urls, max_workers=3, request_delay=0.0) + + self.assertEqual(len(results), 3) + self.assertIsNotNone(results[0][0]) + self.assertIsNone(results[1][0]) + self.assertIsNotNone(results[2][0]) + + @patch('fetcharoo.async_downloader.download_pdf') + def test_progress_callback_called(self, mock_download): + mock_download.return_value = b'%PDF content' + callback = MagicMock() + urls = ['https://example.com/a.pdf', 'https://example.com/b.pdf'] + download_pdfs_concurrent(urls, max_workers=2, request_delay=0.0, progress_callback=callback) + + self.assertEqual(callback.call_count, 2) + + @patch('fetcharoo.async_downloader.download_pdf') + def test_caps_workers_to_url_count(self, mock_download): + mock_download.return_value = b'%PDF content' + urls = ['https://example.com/a.pdf', 'https://example.com/b.pdf'] + # max_workers=100 but only 2 URLs, so only 2 workers should be used + results = download_pdfs_concurrent(urls, max_workers=100, request_delay=0.0) + self.assertEqual(len(results), 2) + + +if __name__ == '__main__': + unittest.main() diff --git a/tests/test_catalog.py b/tests/test_catalog.py new file mode 100644 index 0000000..2cd2c5f --- /dev/null +++ b/tests/test_catalog.py @@ -0,0 +1,209 @@ +"""Tests for the persistent document catalog.""" + +import os +import json +import tempfile +import unittest + +from fetcharoo.catalog import ( + DocumentCatalog, + DocumentRecord, + DiffResult, + extract_pdf_metadata, + _url_id, + _content_hash, +) + + +class TestHelpers(unittest.TestCase): + """Test catalog helper functions.""" + + def test_url_id_deterministic(self): + id1 = _url_id('https://example.com/doc.pdf') + id2 = _url_id('https://example.com/doc.pdf') + self.assertEqual(id1, id2) + + def test_url_id_different_for_different_urls(self): + id1 = _url_id('https://example.com/a.pdf') + id2 = _url_id('https://example.com/b.pdf') + self.assertNotEqual(id1, id2) + + def test_content_hash_deterministic(self): + h1 = _content_hash(b'%PDF-1.4 content') + h2 = _content_hash(b'%PDF-1.4 content') + self.assertEqual(h1, h2) + + def test_content_hash_different_for_different_content(self): + h1 = _content_hash(b'%PDF-1.4 content A') + h2 = _content_hash(b'%PDF-1.4 content B') + self.assertNotEqual(h1, h2) + + +class TestDocumentCatalog(unittest.TestCase): + """Test the DocumentCatalog class.""" + + def setUp(self): + self.tmp = tempfile.mktemp(suffix='.db') + self.catalog = DocumentCatalog(db_path=self.tmp) + + def tearDown(self): + self.catalog.close() + if os.path.exists(self.tmp): + os.unlink(self.tmp) + + def test_empty_catalog(self): + self.assertEqual(self.catalog.document_count, 0) + self.assertEqual(self.catalog.active_count, 0) + + def test_record_discovery(self): + doc = self.catalog.record_discovery( + 'https://example.com/test.pdf', + source_page='https://example.com', + filename='test.pdf' + ) + self.assertEqual(doc.url, 'https://example.com/test.pdf') + self.assertEqual(doc.filename, 'test.pdf') + self.assertEqual(doc.status, 'active') + self.assertEqual(self.catalog.document_count, 1) + + def test_upsert_with_content(self): + content = b'%PDF-1.4 test content' + doc = self.catalog.upsert_document( + 'https://example.com/test.pdf', + content=content, + filename='test.pdf' + ) + self.assertIsNotNone(doc.content_hash) + self.assertEqual(doc.size_bytes, len(content)) + self.assertIsNotNone(doc.first_seen) + self.assertIsNotNone(doc.last_seen) + + def test_upsert_updates_existing(self): + self.catalog.record_discovery('https://example.com/test.pdf', filename='test.pdf') + doc = self.catalog.upsert_document( + 'https://example.com/test.pdf', + content=b'%PDF-1.4 new content', + filename='test.pdf' + ) + self.assertEqual(self.catalog.document_count, 1) + self.assertIsNotNone(doc.content_hash) + + def test_get_document(self): + self.catalog.record_discovery('https://example.com/test.pdf', filename='test.pdf') + doc = self.catalog.get_document('https://example.com/test.pdf') + self.assertIsNotNone(doc) + self.assertEqual(doc.url, 'https://example.com/test.pdf') + + def test_get_document_not_found(self): + doc = self.catalog.get_document('https://example.com/nonexistent.pdf') + self.assertIsNone(doc) + + def test_mark_removed(self): + self.catalog.record_discovery('https://example.com/test.pdf') + self.catalog.mark_removed('https://example.com/test.pdf') + doc = self.catalog.get_document('https://example.com/test.pdf') + self.assertEqual(doc.status, 'removed') + + def test_get_active_documents(self): + self.catalog.record_discovery('https://example.com/a.pdf') + self.catalog.record_discovery('https://example.com/b.pdf') + self.catalog.mark_removed('https://example.com/b.pdf') + + active = self.catalog.get_active_documents() + self.assertEqual(len(active), 1) + self.assertEqual(active[0].url, 'https://example.com/a.pdf') + + def test_get_active_documents_by_source(self): + self.catalog.record_discovery('https://example.com/a.pdf', source_page='https://example.com') + self.catalog.record_discovery('https://other.com/b.pdf', source_page='https://other.com') + + docs = self.catalog.get_active_documents(source_page='https://example.com') + self.assertEqual(len(docs), 1) + + def test_diff_new_documents(self): + current_urls = ['https://example.com/a.pdf', 'https://example.com/b.pdf'] + diff = self.catalog.diff(current_urls) + self.assertEqual(len(diff.new), 2) + self.assertEqual(len(diff.unchanged), 0) + self.assertEqual(len(diff.removed), 0) + + def test_diff_unchanged_documents(self): + self.catalog.record_discovery('https://example.com/a.pdf') + diff = self.catalog.diff(['https://example.com/a.pdf']) + self.assertEqual(len(diff.new), 0) + self.assertEqual(len(diff.unchanged), 1) + self.assertEqual(len(diff.removed), 0) + + def test_diff_removed_documents(self): + self.catalog.record_discovery('https://example.com/a.pdf') + diff = self.catalog.diff([]) + self.assertEqual(len(diff.new), 0) + self.assertEqual(len(diff.removed), 1) + + def test_diff_mixed(self): + self.catalog.record_discovery('https://example.com/old.pdf') + diff = self.catalog.diff(['https://example.com/old.pdf', 'https://example.com/new.pdf']) + self.assertEqual(len(diff.new), 1) + self.assertEqual(len(diff.unchanged), 1) + self.assertEqual(len(diff.removed), 0) + + def test_record_run(self): + diff = DiffResult( + new=[DocumentRecord(id='1', url='https://example.com/a.pdf')], + unchanged=[DocumentRecord(id='2', url='https://example.com/b.pdf')], + ) + run = self.catalog.record_run('https://example.com', diff) + self.assertIsNotNone(run.id) + self.assertEqual(run.documents_new, 1) + self.assertEqual(run.documents_found, 2) + + def test_get_runs(self): + diff = DiffResult() + self.catalog.record_run('https://example.com', diff) + runs = self.catalog.get_runs() + self.assertEqual(len(runs), 1) + + def test_search(self): + self.catalog.record_discovery('https://example.com/report_2024.pdf', filename='report_2024.pdf') + self.catalog.record_discovery('https://example.com/invoice.pdf', filename='invoice.pdf') + + results = self.catalog.search('report') + self.assertEqual(len(results), 1) + self.assertIn('report', results[0].url) + + def test_search_no_results(self): + results = self.catalog.search('nonexistent') + self.assertEqual(len(results), 0) + + def test_find_duplicates(self): + content = b'%PDF-1.4 identical content' + self.catalog.upsert_document('https://site-a.com/doc.pdf', content=content) + self.catalog.upsert_document('https://site-b.com/doc.pdf', content=content) + + dupes = self.catalog.find_duplicates() + self.assertEqual(len(dupes), 1) + + def test_export_json(self): + self.catalog.record_discovery('https://example.com/test.pdf', filename='test.pdf') + json_str = self.catalog.export_json() + data = json.loads(json_str) + self.assertEqual(len(data), 1) + self.assertEqual(data[0]['url'], 'https://example.com/test.pdf') + + def test_export_csv(self): + self.catalog.record_discovery('https://example.com/test.pdf', filename='test.pdf') + csv_str = self.catalog.export_csv() + self.assertIn('url', csv_str) + self.assertIn('example.com', csv_str) + + +class TestExtractPdfMetadata(unittest.TestCase): + """Test PDF metadata extraction.""" + + def test_invalid_content_returns_empty(self): + metadata = extract_pdf_metadata(b'not a pdf') + self.assertEqual(metadata, {}) + + +if __name__ == '__main__': + unittest.main() diff --git a/tests/test_schemas_registry.py b/tests/test_schemas_registry.py new file mode 100644 index 0000000..3837922 --- /dev/null +++ b/tests/test_schemas_registry.py @@ -0,0 +1,90 @@ +"""Tests for the community site schemas registry.""" + +import unittest + +from fetcharoo.schemas import find_schema, list_schemas, SiteSchema +from fetcharoo.schemas.sites import BUILTIN_SCHEMAS + + +class TestSchemaRegistry(unittest.TestCase): + """Test the schema registry.""" + + def test_list_schemas_returns_all(self): + schemas = list_schemas() + self.assertGreaterEqual(len(schemas), 5) + + def test_all_schemas_are_site_schemas(self): + for schema in list_schemas(): + self.assertIsInstance(schema, SiteSchema) + + def test_all_schemas_have_names(self): + for schema in list_schemas(): + self.assertTrue(schema.name) + + def test_all_schemas_have_url_patterns(self): + for schema in list_schemas(): + self.assertTrue(schema.url_pattern) + + def test_all_schemas_have_descriptions(self): + for schema in list_schemas(): + self.assertTrue(schema.description) + + def test_schema_names_are_unique(self): + names = [s.name for s in list_schemas()] + self.assertEqual(len(names), len(set(names))) + + +class TestFindSchema(unittest.TestCase): + """Test auto-detection of schemas by URL.""" + + def test_find_arxiv_schema(self): + schema = find_schema('https://arxiv.org/abs/2301.00001') + self.assertIsNotNone(schema) + self.assertEqual(schema.name, 'arxiv') + + def test_find_ietf_rfc_schema(self): + schema = find_schema('https://www.rfc-editor.org/rfc/rfc9110') + self.assertIsNotNone(schema) + self.assertEqual(schema.name, 'ietf_rfc') + + def test_find_w3c_schema(self): + schema = find_schema('https://www.w3.org/TR/css-flexbox-1/') + self.assertIsNotNone(schema) + self.assertEqual(schema.name, 'w3c') + + def test_find_federal_register_schema(self): + schema = find_schema('https://www.federalregister.gov/documents/2024/01/01/test') + self.assertIsNotNone(schema) + self.assertEqual(schema.name, 'federal_register') + + def test_no_match_returns_none(self): + schema = find_schema('https://random-unknown-site.com/page') + self.assertIsNone(schema) + + +class TestBuiltinSchemas(unittest.TestCase): + """Test individual built-in schemas.""" + + def test_arxiv_schema_properties(self): + schema = find_schema('https://arxiv.org/abs/2301.00001') + self.assertEqual(schema.request_delay, 1.0) # arXiv rate limits + + def test_ietf_rfc_schema_excludes_drafts(self): + schema = find_schema('https://www.rfc-editor.org/rfc/rfc9110') + self.assertIn('*draft*', schema.exclude_patterns) + self.assertEqual(schema.sort_by, 'numeric') + + def test_sec_edgar_schema_depth(self): + schema = find_schema('https://www.sec.gov/Archives/edgar/data/12345') + self.assertIsNotNone(schema) + self.assertEqual(schema.recommended_depth, 2) + + def test_schema_get_filter_config(self): + schema = find_schema('https://www.rfc-editor.org/rfc/rfc9110') + config = schema.get_filter_config() + self.assertIsNotNone(config) + self.assertTrue(config.filename_include or config.filename_exclude) + + +if __name__ == '__main__': + unittest.main() diff --git a/tests/test_watcher.py b/tests/test_watcher.py new file mode 100644 index 0000000..e9daf90 --- /dev/null +++ b/tests/test_watcher.py @@ -0,0 +1,148 @@ +"""Tests for watch mode and document change monitoring.""" + +import os +import tempfile +import unittest +from unittest.mock import patch, MagicMock + +from fetcharoo.catalog import DocumentCatalog, DiffResult, DocumentRecord +from fetcharoo.watcher import DocumentWatcher, diff_once +from fetcharoo.notifications import ( + format_diff_text, + format_diff_json, + has_changes, +) + + +class TestNotifications(unittest.TestCase): + """Test notification formatting.""" + + def _make_diff(self, new=0, changed=0, removed=0, unchanged=0): + return DiffResult( + new=[DocumentRecord(id=str(i), url=f'https://example.com/new{i}.pdf') for i in range(new)], + changed=[DocumentRecord(id=str(i), url=f'https://example.com/changed{i}.pdf') for i in range(changed)], + removed=[DocumentRecord(id=str(i), url=f'https://example.com/removed{i}.pdf') for i in range(removed)], + unchanged=[DocumentRecord(id=str(i), url=f'https://example.com/unchanged{i}.pdf') for i in range(unchanged)], + ) + + def test_has_changes_with_new(self): + diff = self._make_diff(new=1) + self.assertTrue(has_changes(diff)) + + def test_has_changes_with_removed(self): + diff = self._make_diff(removed=1) + self.assertTrue(has_changes(diff)) + + def test_has_changes_no_changes(self): + diff = self._make_diff(unchanged=3) + self.assertFalse(has_changes(diff)) + + def test_format_diff_text_new(self): + diff = self._make_diff(new=1) + text = format_diff_text(diff, 'https://example.com') + self.assertIn('+', text) + self.assertIn('new0.pdf', text) + + def test_format_diff_text_removed(self): + diff = self._make_diff(removed=1) + text = format_diff_text(diff, 'https://example.com') + self.assertIn('-', text) + self.assertIn('removed0.pdf', text) + + def test_format_diff_text_no_changes(self): + diff = self._make_diff(unchanged=1) + text = format_diff_text(diff, 'https://example.com') + self.assertIn('No changes', text) + + def test_format_diff_json(self): + import json + diff = self._make_diff(new=2, removed=1) + result = json.loads(format_diff_json(diff, 'https://example.com')) + self.assertEqual(result['summary']['new'], 2) + self.assertEqual(result['summary']['removed'], 1) + self.assertEqual(len(result['new']), 2) + + +class TestDocumentWatcher(unittest.TestCase): + """Test the DocumentWatcher class.""" + + def setUp(self): + self.tmp = tempfile.mktemp(suffix='.db') + self.catalog = DocumentCatalog(db_path=self.tmp) + + def tearDown(self): + self.catalog.close() + if os.path.exists(self.tmp): + os.unlink(self.tmp) + + @patch('fetcharoo.watcher.find_pdfs_from_webpage') + def test_check_once_detects_new(self, mock_find): + mock_find.return_value = ['https://example.com/a.pdf', 'https://example.com/b.pdf'] + + watcher = DocumentWatcher('https://example.com', self.catalog) + diff = watcher.check_once() + + self.assertEqual(len(diff.new), 2) + self.assertEqual(len(diff.removed), 0) + + @patch('fetcharoo.watcher.find_pdfs_from_webpage') + def test_check_once_detects_removed(self, mock_find): + # First: discover a doc + self.catalog.record_discovery('https://example.com/old.pdf') + + # Then: it's gone + mock_find.return_value = [] + watcher = DocumentWatcher('https://example.com', self.catalog) + diff = watcher.check_once() + + self.assertEqual(len(diff.removed), 1) + + @patch('fetcharoo.watcher.find_pdfs_from_webpage') + def test_check_once_records_run(self, mock_find): + mock_find.return_value = ['https://example.com/a.pdf'] + + watcher = DocumentWatcher('https://example.com', self.catalog) + watcher.check_once() + + runs = self.catalog.get_runs() + self.assertEqual(len(runs), 1) + + @patch('fetcharoo.watcher.find_pdfs_from_webpage') + def test_check_once_updates_catalog(self, mock_find): + mock_find.return_value = ['https://example.com/new.pdf'] + + watcher = DocumentWatcher('https://example.com', self.catalog) + watcher.check_once() + + doc = self.catalog.get_document('https://example.com/new.pdf') + self.assertIsNotNone(doc) + self.assertEqual(doc.status, 'active') + + +class TestDiffOnce(unittest.TestCase): + """Test the one-shot diff function.""" + + def setUp(self): + self.tmp = tempfile.mktemp(suffix='.db') + self.catalog = DocumentCatalog(db_path=self.tmp) + + def tearDown(self): + self.catalog.close() + if os.path.exists(self.tmp): + os.unlink(self.tmp) + + @patch('fetcharoo.watcher.find_pdfs_from_webpage') + def test_diff_once_text_output(self, mock_find): + mock_find.return_value = ['https://example.com/a.pdf'] + diff = diff_once('https://example.com', self.catalog, output_format='text') + self.assertEqual(len(diff.new), 1) + + @patch('fetcharoo.watcher.find_pdfs_from_webpage') + def test_diff_once_json_output(self, mock_find): + mock_find.return_value = ['https://example.com/a.pdf'] + diff = diff_once('https://example.com', self.catalog, output_format='json') + self.assertEqual(len(diff.new), 1) + + +if __name__ == '__main__': + unittest.main() From 89c32e82702dc6428237c5b9bbfc1ab6fe6a1911 Mon Sep 17 00:00:00 2001 From: Claude Date: Tue, 7 Apr 2026 23:35:19 +0000 Subject: [PATCH 4/6] Update README with all new features and capabilities Rewrite README to document the 5 new enhancements: concurrent downloads, persistent document catalog, watch mode, MCP server, and community site schemas. Includes CLI examples, Python API usage, and MCP server configuration. https://claude.ai/code/session_01EFk8Enntgip8z3nqk1ppkA --- README.md | 535 ++++++++++++++++++++++++------------------------------ 1 file changed, 236 insertions(+), 299 deletions(-) diff --git a/README.md b/README.md index 71afbbf..fa7c140 100644 --- a/README.md +++ b/README.md @@ -4,26 +4,69 @@ [![Python 3.10+](https://img.shields.io/badge/python-3.10%2B-blue.svg)](https://www.python.org/downloads/) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) -A Python library for downloading PDF files from webpages with support for recursive link following, PDF merging, and security hardening. +A Python library for discovering, downloading, and tracking PDF documents from websites — with persistent state, change monitoring, and AI agent integration. + +## What fetcharoo does + +**Download PDFs** from websites with recursive crawling, filtering, merging, and concurrent downloads. + +**Track documents over time** with a persistent SQLite catalog that remembers every PDF it has ever seen — content hashes, metadata, first/last seen dates. + +**Detect changes** by diffing the current state of a site against the catalog. Know instantly what's new, changed, or removed. + +**Integrate with AI agents** via an MCP server that exposes document discovery and tracking as tools for Claude and other AI systems. ## Features -- Download PDF files from a specified webpage -- Recursive crawling with configurable depth (up to 5 levels) -- Merge downloaded PDFs into a single file or save separately -- **Smart merge ordering**: Sort PDFs numerically, alphabetically, or with custom sort keys -- **Automatic deduplication**: Remove duplicate PDF URLs across pages -- **Custom output filenames**: Name your merged PDF files -- **Rich result reporting**: Get detailed download statistics with `ProcessResult` -- **Command-line interface** for quick downloads -- **Quiet/verbose modes**: Control output verbosity with `-q` and `-v` flags -- **robots.txt compliance** for ethical web crawling -- **Custom User-Agent** support -- **Dry-run mode** to preview downloads -- **Progress bars** with tqdm integration -- **PDF filtering** by filename, URL patterns, and size -- **Security hardening**: Domain restriction, path traversal protection, rate limiting -- Configurable timeouts and request delays +### Core +- Download PDFs from webpages with recursive crawling (up to 5 levels) +- Merge PDFs into a single file or save separately +- Smart merge ordering (numeric, alphabetical, custom sort keys) +- Automatic URL deduplication across pages +- PDF filtering by filename pattern, URL pattern, and file size +- Dry-run mode to preview before downloading +- Progress bars with tqdm +- Configurable timeouts, rate limiting, and request delays + +### Concurrent Downloads +- Parallel downloading with configurable thread pool +- Thread-safe rate limiting shared across workers +- 3-5x speedup on bulk downloads + +### Persistent Document Catalog +- SQLite-backed tracking of every document across runs +- Content-hash-based change detection (SHA-256) +- Cross-URL deduplication (same PDF at different URLs) +- PDF metadata extraction (title, author, page count, creation date) +- Run history with diff summaries +- Export as JSON or CSV +- Search by URL or filename + +### Watch Mode +- **One-shot diff** (`fetcharoo diff`) — cron-friendly, compare current state against catalog +- **Continuous watch** (`fetcharoo watch`) — poll at intervals, notify on changes +- Notifications: stdout, JSON, webhook (POST), shell command +- Git-like diff output: `+` new, `~` changed, `-` removed + +### MCP Server +- Expose fetcharoo as an MCP server for AI agent integration +- Tools: `discover_pdfs`, `download_pdfs`, `catalog_query`, `catalog_diff`, `catalog_search`, `get_document_metadata`, `find_duplicate_documents` +- Stateful: AI agents get persistent memory of document history +- Optional dependency — install with `pip install fetcharoo[mcp]` + +### Site Schemas +- Pre-built configurations for common document repositories +- Auto-detection: `--schema auto` matches URL to optimal settings +- Built-in schemas: arXiv, IETF RFCs, SEC EDGAR, W3C, Federal Register +- Each schema provides: URL patterns, filtering rules, rate limits, sort strategy + +### Security +- Domain restriction for recursive crawling (SSRF protection) +- Path traversal protection on filenames +- Rate limiting between requests +- URL validation (http/https only) +- robots.txt compliance (optional) +- Custom User-Agent support ## Requirements @@ -32,22 +75,11 @@ A Python library for downloading PDF files from webpages with support for recurs ## Installation -### Using pip - ```sh pip install fetcharoo -``` - -### From GitHub (latest) -```sh -pip install git+https://github.com/MALathon/fetcharoo.git -``` - -### Using Poetry - -```sh -poetry add fetcharoo +# With MCP server support: +pip install fetcharoo[mcp] ``` ### From source @@ -60,360 +92,265 @@ poetry install ## Command-Line Interface -fetcharoo includes a CLI for quick PDF downloads: +### Download PDFs ```sh # Download PDFs from a webpage fetcharoo https://example.com -# Download with recursion and merge into one file +# Recursive crawl + merge into one file fetcharoo https://example.com -d 2 -m -# Merge with custom output filename and numeric sorting -fetcharoo https://example.com -m --output-name "textbook.pdf" --sort-by numeric - -# List PDFs without downloading (dry run) -fetcharoo https://example.com --dry-run +# Parallel download with 10 workers +fetcharoo https://example.com --concurrent --max-workers 10 -# Download with custom options -fetcharoo https://example.com -o my_pdfs --delay 1.0 --progress +# Merge with numeric sorting and custom filename +fetcharoo https://example.com -m --sort-by numeric --output-name "textbook.pdf" -# Filter PDFs by pattern +# Filter by filename pattern fetcharoo https://example.com --include "report*.pdf" --exclude "*draft*" -# Quiet mode (less output) or verbose mode (more output) -fetcharoo https://example.com -q # Quieter -fetcharoo https://example.com -qq # Even quieter -fetcharoo https://example.com -v # More verbose -fetcharoo https://example.com -vv # Debug level -``` +# Dry run (list PDFs without downloading) +fetcharoo https://example.com --dry-run -### CLI Options +# Use auto-detected site schema +fetcharoo https://arxiv.org/abs/2301.00001 --schema auto -| Option | Description | -|--------|-------------| -| `-o, --output DIR` | Output directory (default: output) | -| `-d, --depth N` | Recursion depth (default: 0) | -| `-m, --merge` | Merge all PDFs into a single file | -| `--output-name FILENAME` | Custom filename for merged PDF (with `--merge`) | -| `--sort-by STRATEGY` | Sort PDFs before merging: `numeric`, `alpha`, `alpha_desc`, `none` | -| `--dry-run` | List PDFs without downloading | -| `--delay SECONDS` | Delay between requests (default: 0.5) | -| `--timeout SECONDS` | Request timeout (default: 30) | -| `--user-agent STRING` | Custom User-Agent string | -| `--respect-robots` | Respect robots.txt rules | -| `--progress` | Show progress bars | -| `-q, --quiet` | Reduce output verbosity (use `-qq` for even quieter) | -| `-v, --verbose` | Increase output verbosity (use `-vv` for debug) | -| `--include PATTERN` | Include PDFs matching pattern | -| `--exclude PATTERN` | Exclude PDFs matching pattern | -| `--min-size BYTES` | Minimum PDF size | -| `--max-size BYTES` | Maximum PDF size | +# Track downloads in the persistent catalog +fetcharoo https://example.com --catalog +``` -## Quick Start +### Monitor for Changes -```python -from fetcharoo import download_pdfs_from_webpage +```sh +# One-shot diff: what's new since last check? (great for cron) +fetcharoo diff https://example.com -# Download PDFs from a webpage and merge them into a single file -download_pdfs_from_webpage( - url='https://example.com', - recursion_depth=1, - mode='merge', - write_dir='output' -) -``` +# Continuous watch: check every hour +fetcharoo watch https://example.com --interval 3600 -## Usage +# Watch with webhook notification +fetcharoo watch https://example.com --notify webhook --webhook https://hooks.example.com/notify -### Basic Usage +# Watch with shell command on change +fetcharoo watch https://example.com --notify command --on-command "echo 'New docs found!'" -```python -from fetcharoo import download_pdfs_from_webpage - -# Download and save PDFs as separate files -download_pdfs_from_webpage( - url='https://example.com/documents', - recursion_depth=0, # Only search the specified page - mode='separate', - write_dir='downloads' -) +# JSON output for piping +fetcharoo diff https://example.com --format json ``` -### With robots.txt Compliance +### Manage the Catalog -```python -from fetcharoo import download_pdfs_from_webpage - -# Respect robots.txt rules -download_pdfs_from_webpage( - url='https://example.com', - recursion_depth=2, - mode='merge', - write_dir='output', - respect_robots=True, - user_agent='MyBot/1.0' -) -``` +```sh +# Show all tracked documents +fetcharoo catalog show -### Dry-Run Mode +# Export as JSON or CSV +fetcharoo catalog export --format json +fetcharoo catalog export --format csv -```python -from fetcharoo import download_pdfs_from_webpage +# Search documents +fetcharoo catalog search "annual report" -# Preview what would be downloaded -result = download_pdfs_from_webpage( - url='https://example.com', - recursion_depth=1, - dry_run=True -) +# View run history +fetcharoo catalog runs -print(f"Found {result['count']} PDFs:") -for url in result['urls']: - print(f" - {url}") +# Find duplicate documents (same content, different URLs) +fetcharoo catalog duplicates ``` -### With Progress Bars +### Site Schemas -```python -from fetcharoo import download_pdfs_from_webpage +```sh +# List available schemas +fetcharoo schemas list -# Show progress during download -download_pdfs_from_webpage( - url='https://example.com', - recursion_depth=2, - write_dir='output', - show_progress=True -) +# Check which schema matches a URL +fetcharoo schemas match https://arxiv.org/abs/2301.00001 ``` -### PDF Filtering +### MCP Server -```python -from fetcharoo import download_pdfs_from_webpage, FilterConfig +```sh +# Start the MCP server (for AI agent integration) +fetcharoo mcp serve +``` -# Filter by filename patterns and size -filter_config = FilterConfig( - filename_include=['report*.pdf', 'annual*.pdf'], - filename_exclude=['*draft*', '*temp*'], - min_size=10000, # 10KB minimum - max_size=50000000 # 50MB maximum -) +### All Download Options -download_pdfs_from_webpage( - url='https://example.com', - recursion_depth=1, - write_dir='output', - filter_config=filter_config -) -``` +| Option | Description | +|--------|-------------| +| `-o, --output DIR` | Output directory (default: output) | +| `-d, --depth N` | Recursion depth (default: 0) | +| `-m, --merge` | Merge all PDFs into a single file | +| `--output-name FILENAME` | Custom filename for merged PDF | +| `--sort-by STRATEGY` | Sort: `numeric`, `alpha`, `alpha_desc`, `none` | +| `--dry-run` | List PDFs without downloading | +| `--concurrent` | Download in parallel | +| `--max-workers N` | Max parallel threads (default: 5) | +| `--catalog` | Track in persistent catalog | +| `--catalog-db PATH` | Custom catalog database path | +| `--schema NAME` | Use site schema (`auto` for auto-detect) | +| `--delay SECONDS` | Delay between requests (default: 0.5) | +| `--timeout SECONDS` | Request timeout (default: 30) | +| `--user-agent STRING` | Custom User-Agent | +| `--respect-robots` | Respect robots.txt | +| `--progress` | Show progress bars | +| `-q, --quiet` | Less output (`-qq` for even quieter) | +| `-v, --verbose` | More output (`-vv` for debug) | +| `--include PATTERN` | Include filename pattern | +| `--exclude PATTERN` | Exclude filename pattern | +| `--min-size BYTES` | Minimum PDF size | +| `--max-size BYTES` | Maximum PDF size | + +## Python API -### With Security Options +### Quick Start ```python from fetcharoo import download_pdfs_from_webpage -# Restrict crawling to specific domains +# Download PDFs — simple +download_pdfs_from_webpage('https://example.com', write_dir='output') + +# Download with concurrent workers download_pdfs_from_webpage( - url='https://example.com', + 'https://example.com', recursion_depth=2, mode='merge', - write_dir='output', - allowed_domains={'example.com', 'docs.example.com'}, - request_delay=1.0, # 1 second between requests - timeout=60 # 60 second timeout + concurrent=True, + max_workers=10, + show_progress=True, ) ``` -### Sorting and Merging +### Document Catalog ```python -from fetcharoo import download_pdfs_from_webpage +from fetcharoo import DocumentCatalog -# Merge chapters in numeric order (chapter_1.pdf, chapter_2.pdf, chapter_10.pdf) -download_pdfs_from_webpage( - url='https://example.com/book', - mode='merge', - write_dir='output', - sort_by='numeric', - output_name='complete_book.pdf' +catalog = DocumentCatalog() # defaults to ~/.fetcharoo/catalog.db + +# Track a document +catalog.upsert_document( + 'https://example.com/report.pdf', + content=pdf_bytes, + source_page='https://example.com', + filename='report.pdf', ) -# Custom sort key function -from fetcharoo import process_pdfs, find_pdfs_from_webpage +# Search +results = catalog.search('annual report') -pdf_urls = find_pdfs_from_webpage('https://example.com') -process_pdfs( - pdf_urls, - write_dir='output', - mode='merge', - sort_key=lambda url: url.split('/')[-1] # Sort by filename -) +# Find duplicates (same content at different URLs) +dupes = catalog.find_duplicates() + +# Diff against current state +diff = catalog.diff(['https://example.com/a.pdf', 'https://example.com/b.pdf']) +print(f"New: {len(diff.new)}, Removed: {len(diff.removed)}") + +# Export +print(catalog.export_json()) +print(catalog.export_csv()) ``` -### Using ProcessResult +### Watch Mode ```python -from fetcharoo import download_pdfs_from_webpage +from fetcharoo import DocumentCatalog, DocumentWatcher -# Get detailed results from download operation -result = download_pdfs_from_webpage( - url='https://example.com', - mode='separate', - write_dir='output' -) +catalog = DocumentCatalog() +watcher = DocumentWatcher('https://example.com', catalog, recursion_depth=1) -# ProcessResult provides detailed information -print(f"Success: {result.success}") -print(f"Downloaded: {result.downloaded_count}") -print(f"Failed: {result.failed_count}") -print(f"Files created: {result.files_created}") -print(f"Errors: {result.errors}") +# One-shot check +diff = watcher.check_once() +for doc in diff.new: + print(f"New: {doc.url}") -# ProcessResult is truthy when successful -if result: - print("Download completed!") +# Or use the convenience function +from fetcharoo import diff_once +diff = diff_once('https://example.com', catalog) ``` -### Finding PDFs Without Downloading +### Site Schemas ```python -from fetcharoo import find_pdfs_from_webpage +from fetcharoo import find_schema, list_schemas -# Just get the list of PDF URLs (deduplicated by default) -pdf_urls = find_pdfs_from_webpage( - url='https://example.com', - recursion_depth=1 -) +# Auto-detect schema for a URL +schema = find_schema('https://arxiv.org/abs/2301.00001') +print(schema.name) # 'arxiv' +print(schema.request_delay) # 1.0 (arXiv rate-limits) -for url in pdf_urls: - print(url) +# List all available schemas +for s in list_schemas(): + print(f"{s.name}: {s.description}") ``` -### Custom User-Agent +### Filtering ```python -from fetcharoo import download_pdfs_from_webpage, set_default_user_agent +from fetcharoo import download_pdfs_from_webpage, FilterConfig -# Set a global default User-Agent -set_default_user_agent('MyCompanyBot/1.0 (contact@example.com)') +filter_config = FilterConfig( + filename_include=['report*.pdf', 'annual*.pdf'], + filename_exclude=['*draft*', '*temp*'], + url_include=['*/reports/*'], + url_exclude=['*/archive/*'], + min_size=10_000, # 10KB minimum + max_size=50_000_000, # 50MB maximum +) -# Or use per-request User-Agent download_pdfs_from_webpage( - url='https://example.com', - user_agent='SpecificBot/2.0' + 'https://example.com', + filter_config=filter_config, ) ``` -## API Reference - -### `download_pdfs_from_webpage()` - -Main function to find and download PDFs from a webpage. - -| Parameter | Type | Default | Description | -|-----------|------|---------|-------------| -| `url` | str | required | The webpage URL to search | -| `recursion_depth` | int | 0 | How many levels of links to follow (max 5) | -| `mode` | str | 'separate' | 'merge' or 'separate' | -| `write_dir` | str | 'output' | Output directory for PDFs | -| `allowed_domains` | set | None | Restrict crawling to these domains | -| `request_delay` | float | 0.5 | Seconds between requests | -| `timeout` | int | 30 | Request timeout in seconds | -| `respect_robots` | bool | False | Whether to respect robots.txt | -| `user_agent` | str | None | Custom User-Agent (uses default if None) | -| `dry_run` | bool | False | Preview URLs without downloading | -| `show_progress` | bool | False | Show progress bars | -| `filter_config` | FilterConfig | None | PDF filtering configuration | -| `sort_by` | str | None | Sort strategy: 'numeric', 'alpha', 'alpha_desc', 'none' | -| `sort_key` | callable | None | Custom sort key function | -| `output_name` | str | None | Custom filename for merged PDF | - -**Returns:** `ProcessResult` object with download statistics, or dict in dry-run mode. - -### `find_pdfs_from_webpage()` - -Find PDF URLs without downloading. - -| Parameter | Type | Default | Description | -|-----------|------|---------|-------------| -| `url` | str | required | The webpage URL to search | -| `recursion_depth` | int | 0 | How many levels of links to follow | -| `deduplicate` | bool | True | Remove duplicate PDF URLs | -| ... | | | (plus other parameters from above) | - -### `process_pdfs()` - -Download and save a list of PDF URLs. - -| Parameter | Type | Default | Description | -|-----------|------|---------|-------------| -| `pdf_links` | list | required | List of PDF URLs to download | -| `write_dir` | str | required | Output directory | -| `mode` | str | 'separate' | 'merge' or 'separate' | -| `sort_by` | str | None | Sort strategy for merging | -| `sort_key` | callable | None | Custom sort key function | -| `output_name` | str | None | Custom merged filename | - -**Returns:** `ProcessResult` object with download statistics. - -### `ProcessResult` - -Dataclass returned by download operations: +### ProcessResult ```python -from fetcharoo import ProcessResult - -# Attributes: -result.success # bool: True if any PDFs were processed -result.files_created # List[str]: Paths to created files -result.downloaded_count # int: Number of successful downloads -result.filtered_count # int: Number of PDFs filtered out -result.failed_count # int: Number of failed downloads -result.errors # List[str]: Error messages - -# ProcessResult is truthy when successful: -if result: - print("Success!") -``` +from fetcharoo import download_pdfs_from_webpage -### `FilterConfig` +result = download_pdfs_from_webpage('https://example.com') -Configuration for PDF filtering: +print(result.success) # bool +print(result.downloaded_count) # int +print(result.failed_count) # int +print(result.filtered_count) # int +print(result.files_created) # List[str] +print(result.errors) # List[str] -```python -from fetcharoo import FilterConfig - -config = FilterConfig( - filename_include=['*.pdf'], # Patterns to include - filename_exclude=['*draft*'], # Patterns to exclude - url_include=['*/reports/*'], # URL patterns to include - url_exclude=['*/temp/*'], # URL patterns to exclude - min_size=1000, # Minimum size in bytes - max_size=100000000 # Maximum size in bytes -) +if result: # truthy when successful + print("Done!") ``` -### Utility Functions - -- `merge_pdfs()` - Merge multiple PDF documents -- `is_valid_url()` - Validate URL format and scheme -- `is_safe_domain()` - Check if domain is allowed -- `sanitize_filename()` - Prevent path traversal attacks -- `check_robots_txt()` - Check robots.txt permissions -- `set_default_user_agent()` - Set default User-Agent -- `get_default_user_agent()` - Get current default User-Agent +## MCP Server Configuration -## Security Features +Add fetcharoo to your Claude Code or MCP client configuration: -fetcharoo includes several security measures: +```json +{ + "mcpServers": { + "fetcharoo": { + "command": "fetcharoo", + "args": ["mcp", "serve"] + } + } +} +``` -- **Domain restriction**: Limit recursive crawling to specified domains (SSRF protection) -- **Path traversal protection**: Sanitizes filenames to prevent directory escape -- **Rate limiting**: Configurable delays between requests -- **Timeout handling**: Prevents hanging on slow servers -- **URL validation**: Only allows http/https schemes -- **robots.txt compliance**: Optional respect for crawling rules +Once connected, AI agents can use these tools: + +| Tool | Description | +|------|-------------| +| `discover_pdfs` | Find all PDFs on a URL with filtering | +| `download_pdfs` | Download with full reliability (retry, rate limit, dedup) | +| `catalog_query` | Query persistent document memory | +| `catalog_diff` | What's changed since last check? | +| `catalog_search` | Search across all tracked documents | +| `get_document_metadata` | Detailed info about a tracked document | +| `find_duplicate_documents` | Same content at different URLs | ## Contributing From 83eb01220e2bc9bdb5d1d19c43ddd196f79f6391 Mon Sep 17 00:00:00 2001 From: Claude Date: Tue, 7 Apr 2026 23:45:35 +0000 Subject: [PATCH 5/6] Add MCP caching proxy and snapshot monitoring (Enhancement 6) MCP Caching Proxy (mcp_proxy.py): - Wraps any upstream MCP server as a caching layer (Redis for MCP) - SQLite-backed ToolCache with TTL-based freshness - Content-hash change detection across cached calls - Meta-tools: _proxy_call, _cache_status, _cache_history, _cache_refresh, _cache_clear - CLI: fetcharoo proxy --server "npx trial-guide" --ttl 3600 Snapshot Monitoring (mcp_monitor.py): - SnapshotStore for tracking MCP tool outputs over time - Content-hash diffing: new/changed/removed/unchanged records - Works with any data source (MCP servers, REST APIs, files) - Nested field extraction via dot notation for record IDs - CLI: fetcharoo monitor {snapshot|sources|history|search} Clinical Trials Preset (presets/clinical_trials.py): - Pre-configured for ClinicalTrials.gov API v2 data model - NCT ID extraction, human-readable formatting - Works with trial-guide and other clinical trials MCP servers MCP Server updates: - Added snapshot_monitor, snapshot_query, snapshot_history, snapshot_sources, snapshot_search tools - AI agents get persistent change tracking for any data All 372 tests pass (337 existing + 35 new). https://claude.ai/code/session_01EFk8Enntgip8z3nqk1ppkA --- README.md | 101 ++++++ fetcharoo/__init__.py | 5 + fetcharoo/cli.py | 143 +++++++- fetcharoo/mcp_monitor.py | 516 +++++++++++++++++++++++++++ fetcharoo/mcp_proxy.py | 419 ++++++++++++++++++++++ fetcharoo/mcp_server.py | 113 ++++++ fetcharoo/presets/__init__.py | 9 + fetcharoo/presets/clinical_trials.py | 140 ++++++++ tests/test_mcp_monitor.py | 290 +++++++++++++++ 9 files changed, 1735 insertions(+), 1 deletion(-) create mode 100644 fetcharoo/mcp_monitor.py create mode 100644 fetcharoo/mcp_proxy.py create mode 100644 fetcharoo/presets/__init__.py create mode 100644 fetcharoo/presets/clinical_trials.py create mode 100644 tests/test_mcp_monitor.py diff --git a/README.md b/README.md index fa7c140..9559390 100644 --- a/README.md +++ b/README.md @@ -351,6 +351,107 @@ Once connected, AI agents can use these tools: | `catalog_search` | Search across all tracked documents | | `get_document_metadata` | Detailed info about a tracked document | | `find_duplicate_documents` | Same content at different URLs | +| `snapshot_monitor` | Snapshot any data and diff against previous | +| `snapshot_query` | Get current records for a monitored source | +| `snapshot_sources` | List all monitored data sources | +| `snapshot_search` | Search across all snapshot records | + +## MCP Caching Proxy + +fetcharoo can wrap **any** MCP server as a caching proxy — like Redis for MCP. It sits between your AI agent and the upstream server, caching tool call results and tracking changes over time. + +``` +AI Agent <--MCP--> fetcharoo proxy <--MCP--> upstream server +``` + +### Setup + +```sh +# Wrap any MCP server with caching (1-hour TTL) +fetcharoo proxy --server "npx trial-guide" --ttl 3600 + +# Or with a Python MCP server +fetcharoo proxy --server "python my_server.py" --ttl 1800 +``` + +In Claude Desktop / Claude Code config: +```json +{ + "mcpServers": { + "trial-guide-cached": { + "command": "fetcharoo", + "args": ["proxy", "--server", "npx trial-guide", "--ttl", "3600"] + } + } +} +``` + +The proxy automatically adds these meta-tools: + +| Tool | Description | +|------|-------------| +| `_proxy_call` | Call any upstream tool through the cache | +| `_cache_status` | Show all cached entries and their freshness | +| `_cache_history` | View change history for cached calls | +| `_cache_refresh` | Force-refresh a cached call (bypass TTL) | +| `_cache_clear` | Clear cache entries | + +### Example: Clinical Trials + +```sh +# Wrap a clinical trials MCP server (e.g., trial-guide) +fetcharoo proxy --server "npx trial-guide" --ttl 7200 + +# Now Claude can call trial-guide tools through the cache: +# - First call: hits upstream, caches result +# - Subsequent calls within 2 hours: served from cache +# - Cache refresh: shows what changed since last call +``` + +## Snapshot Monitoring + +Monitor any data source for changes over time by snapshotting results and diffing. + +### CLI + +```sh +# Snapshot an MCP tool's output and diff against previous +fetcharoo monitor snapshot \ + --server "npx trial-guide" \ + --tool search_studies \ + --params '{"query.cond": "diabetes", "filter.overallStatus": "RECRUITING"}' \ + --record-id-field "protocolSection.identificationModule.nctId" + +# List all monitored sources +fetcharoo monitor sources + +# View snapshot history +fetcharoo monitor history --source "search_studies:a1b2c3d4" + +# Search across all snapshots +fetcharoo monitor search "diabetes" +``` + +### Python API + +```python +from fetcharoo import SnapshotStore, snapshot_data + +store = SnapshotStore() + +# Snapshot any list of records (from any source) +trials = [ + {"nctId": "NCT001", "title": "Trial A", "status": "RECRUITING"}, + {"nctId": "NCT002", "title": "Trial B", "status": "ACTIVE"}, +] +diff = snapshot_data(store, "diabetes-trials", trials, record_id_field="nctId") + +print(f"New: {len(diff.new)}") +print(f"Changed: {len(diff.changed)}") +print(f"Removed: {len(diff.removed)}") + +# Run again later with updated data — only changes are reported +``` ## Contributing diff --git a/fetcharoo/__init__.py b/fetcharoo/__init__.py index 11ef18d..68b084d 100644 --- a/fetcharoo/__init__.py +++ b/fetcharoo/__init__.py @@ -34,6 +34,7 @@ from fetcharoo.catalog import DocumentCatalog, DocumentRecord, DiffResult from fetcharoo.watcher import DocumentWatcher, diff_once from fetcharoo.schemas import SiteSchema, find_schema, list_schemas +from fetcharoo.mcp_monitor import SnapshotStore, SnapshotDiff, snapshot_data __version__ = "0.3.0" @@ -81,6 +82,10 @@ "SiteSchema", "find_schema", "list_schemas", + # Snapshot monitoring + "SnapshotStore", + "SnapshotDiff", + "snapshot_data", # Version "__version__", ] diff --git a/fetcharoo/cli.py b/fetcharoo/cli.py index 4209d51..73d80d0 100644 --- a/fetcharoo/cli.py +++ b/fetcharoo/cli.py @@ -18,7 +18,7 @@ from fetcharoo.filtering import FilterConfig # Subcommands that the CLI recognizes -SUBCOMMANDS = {'diff', 'watch', 'catalog', 'schemas', 'mcp'} +SUBCOMMANDS = {'diff', 'watch', 'catalog', 'schemas', 'mcp', 'proxy', 'monitor'} def configure_logging(quiet: int, verbose: int) -> None: @@ -525,6 +525,143 @@ def _handle_mcp(argv: list) -> int: return 0 +def _handle_proxy(argv: list) -> int: + """Handle the 'proxy' subcommand — MCP caching proxy.""" + parser = argparse.ArgumentParser( + prog='fetcharoo proxy', + description='Start a caching MCP proxy that wraps any upstream MCP server.', + ) + parser.add_argument('--server', type=str, required=True, help='command to start upstream MCP server (e.g., "npx trial-guide")') + parser.add_argument('--ttl', type=float, default=3600, help='cache TTL in seconds (default: 3600, 0=no cache)') + parser.add_argument('--cache-db', type=str, help='path to cache database') + + args = parser.parse_args(argv) + + from fetcharoo.mcp_proxy import run_proxy + run_proxy(args.server, ttl=args.ttl, cache_db_path=args.cache_db) + return 0 + + +def _handle_monitor(argv: list) -> int: + """Handle the 'monitor' subcommand — snapshot and diff MCP tool outputs.""" + if not argv: + print("Usage: fetcharoo monitor {snapshot|diff|sources|history|search}") + return 1 + + action = argv[0] + rest = argv[1:] + + if action == 'snapshot': + parser = argparse.ArgumentParser(prog='fetcharoo monitor snapshot') + parser.add_argument('--server', type=str, required=True, help='MCP server command') + parser.add_argument('--tool', type=str, required=True, help='tool name to call') + parser.add_argument('--params', type=str, default='{}', help='JSON tool params') + parser.add_argument('--record-id-field', type=str, default='id', help='dot-notation path to record ID') + parser.add_argument('--results-field', type=str, help='dot-notation path to results array') + parser.add_argument('--source-key', type=str, help='custom source key name') + parser.add_argument('--catalog-db', type=str, help='database path') + + args = parser.parse_args(rest) + params = json.loads(args.params) + + import asyncio + from fetcharoo.mcp_monitor import SnapshotStore, snapshot_mcp_tool + + store = SnapshotStore(db_path=args.catalog_db) + try: + diff = asyncio.run(snapshot_mcp_tool( + store=store, + server_command=args.server.split(), + tool_name=args.tool, + tool_params=params, + record_id_field=args.record_id_field, + source_key=args.source_key, + results_field=args.results_field, + )) + print(f"Source: {diff.source_key}") + print(f" {diff.summary}") + if diff.new: + for r in diff.new: + print(f" + {r.record_id}") + if diff.changed: + for r in diff.changed: + print(f" ~ {r.record_id}") + if diff.removed: + for r in diff.removed: + print(f" - {r.record_id}") + return 0 if diff.has_changes else 1 + finally: + store.close() + + elif action == 'sources': + from fetcharoo.mcp_monitor import SnapshotStore + parser = argparse.ArgumentParser(prog='fetcharoo monitor sources') + parser.add_argument('--catalog-db', type=str, help='database path') + args = parser.parse_args(rest) + + store = SnapshotStore(db_path=args.catalog_db) + try: + sources = store.list_sources() + if not sources: + print("No monitored sources.") + return 0 + print(f"Monitored sources ({len(sources)}):") + for s in sources: + print(f" {s['source_key']}: {s['active_count']} active records (last: {s['last_updated']})") + return 0 + finally: + store.close() + + elif action == 'history': + from fetcharoo.mcp_monitor import SnapshotStore + parser = argparse.ArgumentParser(prog='fetcharoo monitor history') + parser.add_argument('--source', type=str, help='filter by source key') + parser.add_argument('--limit', type=int, default=20) + parser.add_argument('--catalog-db', type=str, help='database path') + args = parser.parse_args(rest) + + store = SnapshotStore(db_path=args.catalog_db) + try: + history = store.get_snapshot_history(args.source, args.limit) + if not history: + print("No snapshot history.") + return 0 + print(f"Snapshot history ({len(history)}):") + for h in history: + print(f" {h['timestamp']} | {h['source_key']}") + print(f" records={h['record_count']} new={h['new_count']} " + f"changed={h['changed_count']} removed={h['removed_count']}") + return 0 + finally: + store.close() + + elif action == 'search': + from fetcharoo.mcp_monitor import SnapshotStore + parser = argparse.ArgumentParser(prog='fetcharoo monitor search') + parser.add_argument('query', type=str, help='search string') + parser.add_argument('--source', type=str, help='filter by source key') + parser.add_argument('--catalog-db', type=str, help='database path') + args = parser.parse_args(rest) + + store = SnapshotStore(db_path=args.catalog_db) + try: + results = store.search_records(args.query, args.source) + if not results: + print(f"No records matching '{args.query}'") + return 1 + print(f"Found {len(results)} record(s):") + for r in results: + print(f" [{r['source_key']}] {r['record_id']}") + return 0 + finally: + store.close() + + else: + print(f"Unknown monitor action: {action}") + print("Usage: fetcharoo monitor {snapshot|sources|history|search}") + return 1 + + def main(argv: Optional[list] = None) -> int: """ Main entry point for the CLI. @@ -553,6 +690,10 @@ def main(argv: Optional[list] = None) -> int: return _handle_schemas(rest) elif command == 'mcp': return _handle_mcp(rest) + elif command == 'proxy': + return _handle_proxy(rest) + elif command == 'monitor': + return _handle_monitor(rest) except KeyboardInterrupt: print("\n\nOperation cancelled by user.") return 1 diff --git a/fetcharoo/mcp_monitor.py b/fetcharoo/mcp_monitor.py new file mode 100644 index 0000000..e352245 --- /dev/null +++ b/fetcharoo/mcp_monitor.py @@ -0,0 +1,516 @@ +""" +MCP source monitoring for fetcharoo. + +Snapshots the output of MCP server tools over time and diffs against +previous snapshots to detect changes. Avoids wasteful repeated querying +by storing full snapshots and only surfacing what's new/changed/removed. + +Works with any MCP server — clinical trials, document repositories, +data feeds, etc. + +Usage (CLI): + fetcharoo monitor snapshot --server "python clinical_trials_server.py" \\ + --tool search_studies --params '{"query.cond": "diabetes"}' \\ + --record-id-field "protocolSection.identificationModule.nctId" + + fetcharoo monitor diff --source "search_studies:diabetes" + +Usage (Python API): + from fetcharoo.mcp_monitor import SnapshotStore, snapshot_mcp_tool + + store = SnapshotStore() + result = await snapshot_mcp_tool( + store=store, + server_command=["python", "clinical_trials_server.py"], + tool_name="search_studies", + tool_params={"query.cond": "diabetes"}, + record_id_field="protocolSection.identificationModule.nctId", + ) + print(f"New: {len(result.new)}, Changed: {len(result.changed)}, Removed: {len(result.removed)}") +""" + +import hashlib +import json +import logging +import os +import sqlite3 +from dataclasses import dataclass, field +from datetime import datetime, timezone +from typing import Any, Dict, List, Optional, Union + +logger = logging.getLogger('fetcharoo') + + +def _now_iso() -> str: + return datetime.now(timezone.utc).isoformat() + + +def _hash_json(data: Any) -> str: + """Deterministic hash of a JSON-serializable value.""" + serialized = json.dumps(data, sort_keys=True, default=str) + return hashlib.sha256(serialized.encode('utf-8')).hexdigest() + + +def _extract_nested(obj: Any, dotted_key: str) -> Any: + """ + Extract a value from a nested dict/list using dot notation. + + Examples: + _extract_nested({"a": {"b": 1}}, "a.b") -> 1 + _extract_nested({"items": [{"id": 1}]}, "items.0.id") -> 1 + """ + parts = dotted_key.split('.') + current = obj + for part in parts: + if current is None: + return None + if isinstance(current, dict): + current = current.get(part) + elif isinstance(current, (list, tuple)): + try: + current = current[int(part)] + except (ValueError, IndexError): + return None + else: + return None + return current + + +@dataclass +class SnapshotRecord: + """A single record within a snapshot.""" + record_id: str + content_hash: str + data: Dict[str, Any] = field(default_factory=dict) + + +@dataclass +class SnapshotDiff: + """Result of comparing current snapshot against previous.""" + source_key: str + timestamp: str = '' + new: List[SnapshotRecord] = field(default_factory=list) + changed: List[SnapshotRecord] = field(default_factory=list) + removed: List[SnapshotRecord] = field(default_factory=list) + unchanged: List[SnapshotRecord] = field(default_factory=list) + + @property + def has_changes(self) -> bool: + return bool(self.new or self.changed or self.removed) + + @property + def summary(self) -> str: + return ( + f"new={len(self.new)} changed={len(self.changed)} " + f"removed={len(self.removed)} unchanged={len(self.unchanged)}" + ) + + +class SnapshotStore: + """ + SQLite-backed store for MCP tool output snapshots. + + Each "source" is identified by a key (e.g., "search_studies:diabetes"). + Each source has records identified by a record_id extracted from the data. + Records are tracked across snapshots via content hashing. + """ + + def __init__(self, db_path: Optional[str] = None): + if db_path is None: + catalog_dir = os.path.join(os.path.expanduser('~'), '.fetcharoo') + os.makedirs(catalog_dir, exist_ok=True) + db_path = os.path.join(catalog_dir, 'catalog.db') + + self.db_path = db_path + self._conn = sqlite3.connect(db_path) + self._conn.row_factory = sqlite3.Row + self._init_schema() + + def _init_schema(self) -> None: + with self._conn: + self._conn.executescript(""" + CREATE TABLE IF NOT EXISTS snapshots ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + source_key TEXT NOT NULL, + timestamp TEXT NOT NULL, + record_count INTEGER DEFAULT 0, + new_count INTEGER DEFAULT 0, + changed_count INTEGER DEFAULT 0, + removed_count INTEGER DEFAULT 0 + ); + + CREATE TABLE IF NOT EXISTS snapshot_records ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + source_key TEXT NOT NULL, + record_id TEXT NOT NULL, + content_hash TEXT NOT NULL, + data TEXT NOT NULL DEFAULT '{}', + first_seen TEXT, + last_seen TEXT, + last_changed TEXT, + status TEXT DEFAULT 'active' + ); + + CREATE INDEX IF NOT EXISTS idx_snap_records_source + ON snapshot_records(source_key); + CREATE INDEX IF NOT EXISTS idx_snap_records_source_record + ON snapshot_records(source_key, record_id); + CREATE INDEX IF NOT EXISTS idx_snap_records_status + ON snapshot_records(status); + CREATE INDEX IF NOT EXISTS idx_snapshots_source + ON snapshots(source_key); + """) + + def take_snapshot( + self, + source_key: str, + records: List[Dict[str, Any]], + record_id_field: str, + ) -> SnapshotDiff: + """ + Store a new snapshot and diff against the previous one. + + Args: + source_key: Identifier for this data source (e.g., "search_studies:diabetes"). + records: List of dicts — the raw MCP tool output records. + record_id_field: Dot-notation path to the unique ID within each record + (e.g., "protocolSection.identificationModule.nctId"). + + Returns: + SnapshotDiff showing what changed. + """ + now = _now_iso() + + # Build current records with IDs and hashes + current: Dict[str, SnapshotRecord] = {} + for item in records: + rid = _extract_nested(item, record_id_field) + if rid is None: + # Try using the whole item hash as ID + rid = _hash_json(item)[:16] + rid = str(rid) + current[rid] = SnapshotRecord( + record_id=rid, + content_hash=_hash_json(item), + data=item, + ) + + # Load previous records for this source + previous = self._get_active_records(source_key) + + # Compute diff + diff = SnapshotDiff(source_key=source_key, timestamp=now) + + for rid, rec in current.items(): + if rid not in previous: + diff.new.append(rec) + self._upsert_record(source_key, rec, now, is_new=True) + elif previous[rid]['content_hash'] != rec.content_hash: + diff.changed.append(rec) + self._upsert_record(source_key, rec, now, is_new=False, changed=True) + else: + diff.unchanged.append(rec) + self._touch_record(source_key, rid, now) + + for rid, row in previous.items(): + if rid not in current: + removed_rec = SnapshotRecord( + record_id=rid, + content_hash=row['content_hash'], + data=json.loads(row['data']), + ) + diff.removed.append(removed_rec) + self._mark_removed(source_key, rid, now) + + # Record the snapshot + with self._conn: + self._conn.execute( + """INSERT INTO snapshots + (source_key, timestamp, record_count, new_count, changed_count, removed_count) + VALUES (?, ?, ?, ?, ?, ?)""", + (source_key, now, len(current), len(diff.new), + len(diff.changed), len(diff.removed)) + ) + + return diff + + def get_current_records(self, source_key: str) -> List[Dict[str, Any]]: + """Get all active records for a source.""" + rows = self._conn.execute( + "SELECT * FROM snapshot_records WHERE source_key = ? AND status = 'active' ORDER BY record_id", + (source_key,) + ).fetchall() + return [json.loads(r['data']) for r in rows] + + def get_record(self, source_key: str, record_id: str) -> Optional[Dict[str, Any]]: + """Get a specific record by source and ID.""" + row = self._conn.execute( + "SELECT * FROM snapshot_records WHERE source_key = ? AND record_id = ?", + (source_key, record_id) + ).fetchone() + if row is None: + return None + return { + 'record_id': row['record_id'], + 'content_hash': row['content_hash'], + 'data': json.loads(row['data']), + 'first_seen': row['first_seen'], + 'last_seen': row['last_seen'], + 'last_changed': row['last_changed'], + 'status': row['status'], + } + + def get_snapshot_history(self, source_key: Optional[str] = None, limit: int = 20) -> List[Dict]: + """Get snapshot run history.""" + if source_key: + rows = self._conn.execute( + "SELECT * FROM snapshots WHERE source_key = ? ORDER BY timestamp DESC LIMIT ?", + (source_key, limit) + ).fetchall() + else: + rows = self._conn.execute( + "SELECT * FROM snapshots ORDER BY timestamp DESC LIMIT ?", + (limit,) + ).fetchall() + return [dict(r) for r in rows] + + def list_sources(self) -> List[Dict[str, Any]]: + """List all tracked sources with their record counts.""" + rows = self._conn.execute(""" + SELECT source_key, COUNT(*) as record_count, + SUM(CASE WHEN status = 'active' THEN 1 ELSE 0 END) as active_count, + MAX(last_seen) as last_updated + FROM snapshot_records + GROUP BY source_key + ORDER BY source_key + """).fetchall() + return [dict(r) for r in rows] + + def search_records(self, query: str, source_key: Optional[str] = None) -> List[Dict[str, Any]]: + """Search across snapshot records by data content.""" + pattern = f"%{query}%" + if source_key: + rows = self._conn.execute( + "SELECT * FROM snapshot_records WHERE source_key = ? AND data LIKE ? AND status = 'active'", + (source_key, pattern) + ).fetchall() + else: + rows = self._conn.execute( + "SELECT * FROM snapshot_records WHERE data LIKE ? AND status = 'active'", + (pattern,) + ).fetchall() + return [ + { + 'source_key': r['source_key'], + 'record_id': r['record_id'], + 'data': json.loads(r['data']), + 'first_seen': r['first_seen'], + 'last_seen': r['last_seen'], + } + for r in rows + ] + + def export_json(self, source_key: Optional[str] = None) -> str: + """Export snapshot records as JSON.""" + if source_key: + rows = self._conn.execute( + "SELECT * FROM snapshot_records WHERE source_key = ? ORDER BY record_id", + (source_key,) + ).fetchall() + else: + rows = self._conn.execute( + "SELECT * FROM snapshot_records ORDER BY source_key, record_id" + ).fetchall() + data = [ + { + 'source_key': r['source_key'], + 'record_id': r['record_id'], + 'content_hash': r['content_hash'], + 'data': json.loads(r['data']), + 'first_seen': r['first_seen'], + 'last_seen': r['last_seen'], + 'last_changed': r['last_changed'], + 'status': r['status'], + } + for r in rows + ] + return json.dumps(data, indent=2) + + def close(self) -> None: + self._conn.close() + + # --- Internal helpers --- + + def _get_active_records(self, source_key: str) -> Dict[str, sqlite3.Row]: + rows = self._conn.execute( + "SELECT * FROM snapshot_records WHERE source_key = ? AND status = 'active'", + (source_key,) + ).fetchall() + return {r['record_id']: r for r in rows} + + def _upsert_record( + self, source_key: str, rec: SnapshotRecord, now: str, + is_new: bool, changed: bool = False + ) -> None: + with self._conn: + if is_new: + self._conn.execute( + """INSERT OR REPLACE INTO snapshot_records + (source_key, record_id, content_hash, data, first_seen, last_seen, last_changed, status) + VALUES (?, ?, ?, ?, ?, ?, ?, 'active')""", + (source_key, rec.record_id, rec.content_hash, + json.dumps(rec.data, default=str), now, now, now) + ) + else: + self._conn.execute( + """UPDATE snapshot_records SET content_hash=?, data=?, last_seen=?, + last_changed=?, status='active' + WHERE source_key=? AND record_id=?""", + (rec.content_hash, json.dumps(rec.data, default=str), + now, now if changed else now, + source_key, rec.record_id) + ) + + def _touch_record(self, source_key: str, record_id: str, now: str) -> None: + with self._conn: + self._conn.execute( + "UPDATE snapshot_records SET last_seen=? WHERE source_key=? AND record_id=?", + (now, source_key, record_id) + ) + + def _mark_removed(self, source_key: str, record_id: str, now: str) -> None: + with self._conn: + self._conn.execute( + "UPDATE snapshot_records SET status='removed', last_seen=? WHERE source_key=? AND record_id=?", + (now, source_key, record_id) + ) + + +# --- MCP Tool Snapshotting --- + +async def snapshot_mcp_tool( + store: SnapshotStore, + server_command: Union[str, List[str]], + tool_name: str, + tool_params: Optional[Dict[str, Any]] = None, + record_id_field: str = "id", + source_key: Optional[str] = None, + results_field: Optional[str] = None, +) -> SnapshotDiff: + """ + Call an MCP tool, snapshot the results, and diff against previous snapshot. + + Args: + store: SnapshotStore for persistence. + server_command: Command to start the MCP server (e.g., ["python", "server.py"]). + tool_name: Name of the MCP tool to call. + tool_params: Parameters to pass to the tool. + record_id_field: Dot-notation path to the unique ID in each record. + source_key: Identifier for this source. Defaults to "{tool_name}:{params_hash}". + results_field: Dot-notation path to the array of records in the tool output. + If None, assumes the output is already a list or tries common fields. + + Returns: + SnapshotDiff with new/changed/removed/unchanged records. + """ + try: + from mcp import ClientSession, StdioServerParameters + from mcp.client.stdio import stdio_client + except ImportError: + raise ImportError( + "MCP client support requires the 'mcp' package. " + "Install with: pip install mcp" + ) + + if tool_params is None: + tool_params = {} + + if source_key is None: + params_hash = _hash_json(tool_params)[:8] + source_key = f"{tool_name}:{params_hash}" + + if isinstance(server_command, str): + server_command = server_command.split() + + server_params = StdioServerParameters( + command=server_command[0], + args=server_command[1:] if len(server_command) > 1 else [], + ) + + # Connect to MCP server and call the tool + async with stdio_client(server_params) as (read, write): + async with ClientSession(read, write) as session: + await session.initialize() + + result = await session.call_tool(tool_name, arguments=tool_params) + + # Parse the result + raw_output = _parse_mcp_result(result, results_field) + + return store.take_snapshot(source_key, raw_output, record_id_field) + + +def snapshot_data( + store: SnapshotStore, + source_key: str, + records: List[Dict[str, Any]], + record_id_field: str = "id", +) -> SnapshotDiff: + """ + Snapshot arbitrary data (not from MCP) and diff against previous. + + This is the synchronous, non-MCP entry point. Useful for: + - Data from REST APIs you've already fetched + - Data from files or databases + - Testing + + Args: + store: SnapshotStore for persistence. + source_key: Identifier for this data source. + records: List of dicts to snapshot. + record_id_field: Dot-notation path to unique ID in each record. + + Returns: + SnapshotDiff with new/changed/removed/unchanged records. + """ + return store.take_snapshot(source_key, records, record_id_field) + + +def _parse_mcp_result(result: Any, results_field: Optional[str] = None) -> List[Dict]: + """Parse MCP tool result into a list of records.""" + # MCP results have a .content list with TextContent items + raw_text = "" + if hasattr(result, 'content'): + for item in result.content: + if hasattr(item, 'text'): + raw_text += item.text + + if not raw_text: + return [] + + # Try parsing as JSON + try: + parsed = json.loads(raw_text) + except json.JSONDecodeError: + # Not JSON — treat each line as a record + return [{"text": line} for line in raw_text.strip().split('\n') if line.strip()] + + # If a results_field is specified, extract it + if results_field: + parsed = _extract_nested(parsed, results_field) + if parsed is None: + return [] + + # If it's already a list, return it + if isinstance(parsed, list): + return parsed + + # If it's a dict, look for common array fields + if isinstance(parsed, dict): + for key in ('results', 'studies', 'data', 'items', 'records', 'trials'): + if key in parsed and isinstance(parsed[key], list): + return parsed[key] + # Single record + return [parsed] + + return [] diff --git a/fetcharoo/mcp_proxy.py b/fetcharoo/mcp_proxy.py new file mode 100644 index 0000000..9854034 --- /dev/null +++ b/fetcharoo/mcp_proxy.py @@ -0,0 +1,419 @@ +""" +MCP caching proxy for fetcharoo. + +Sits between an AI agent and any upstream MCP server. Intercepts tool calls, +caches results in SQLite, serves from cache when fresh, and provides automatic +diff/snapshot capabilities for every proxied tool. + +Think of it as Redis for MCP servers. + +Architecture: + AI Agent <--MCP--> fetcharoo proxy <--MCP--> upstream server (e.g., trial-guide) + +The proxy: + 1. Connects to the upstream MCP server on startup + 2. Discovers all its tools + 3. Re-exposes each tool with caching + diff wrappers + 4. Adds meta-tools: _cache_diff, _cache_query, _cache_sources, _cache_clear + +Usage: + # CLI + fetcharoo proxy --server "npx trial-guide" --ttl 3600 + + # This starts a new MCP server that proxies all tools from trial-guide + # with 1-hour caching. Connect to it from Claude Desktop like any MCP server. + + # In Claude Desktop config: + { + "mcpServers": { + "trial-guide-cached": { + "command": "fetcharoo", + "args": ["proxy", "--server", "npx trial-guide", "--ttl", "3600"] + } + } + } +""" + +import hashlib +import json +import logging +import os +import sqlite3 +import time +from datetime import datetime, timezone +from typing import Any, Dict, List, Optional, Tuple + +logger = logging.getLogger('fetcharoo') + + +def _now_iso() -> str: + return datetime.now(timezone.utc).isoformat() + + +def _hash_json(data: Any) -> str: + serialized = json.dumps(data, sort_keys=True, default=str) + return hashlib.sha256(serialized.encode('utf-8')).hexdigest() + + +def _cache_key(tool_name: str, arguments: Dict[str, Any]) -> str: + """Generate a deterministic cache key for a tool call.""" + args_hash = _hash_json(arguments)[:12] + return f"{tool_name}:{args_hash}" + + +class ToolCache: + """ + SQLite-backed cache for MCP tool call results. + + Stores tool call results with TTL-based freshness and content-hash-based + change detection. Supports diffing current vs. cached results. + """ + + def __init__(self, db_path: Optional[str] = None): + if db_path is None: + cache_dir = os.path.join(os.path.expanduser('~'), '.fetcharoo') + os.makedirs(cache_dir, exist_ok=True) + db_path = os.path.join(cache_dir, 'mcp_cache.db') + + self.db_path = db_path + self._conn = sqlite3.connect(db_path) + self._conn.row_factory = sqlite3.Row + self._init_schema() + + def _init_schema(self) -> None: + with self._conn: + self._conn.executescript(""" + CREATE TABLE IF NOT EXISTS tool_cache ( + cache_key TEXT PRIMARY KEY, + tool_name TEXT NOT NULL, + arguments TEXT NOT NULL DEFAULT '{}', + result_text TEXT NOT NULL, + content_hash TEXT NOT NULL, + cached_at TEXT NOT NULL, + hit_count INTEGER DEFAULT 0, + previous_hash TEXT + ); + + CREATE TABLE IF NOT EXISTS cache_history ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + cache_key TEXT NOT NULL, + tool_name TEXT NOT NULL, + content_hash TEXT NOT NULL, + timestamp TEXT NOT NULL, + changed INTEGER DEFAULT 0 + ); + + CREATE INDEX IF NOT EXISTS idx_tool_cache_tool + ON tool_cache(tool_name); + CREATE INDEX IF NOT EXISTS idx_cache_history_key + ON cache_history(cache_key); + """) + + def get(self, tool_name: str, arguments: Dict[str, Any], ttl: float = 3600) -> Optional[str]: + """ + Get a cached result if it exists and is fresh. + + Args: + tool_name: Name of the MCP tool. + arguments: Tool call arguments. + ttl: Time-to-live in seconds. 0 = always stale. + + Returns: + Cached result text, or None if cache miss or stale. + """ + key = _cache_key(tool_name, arguments) + row = self._conn.execute( + "SELECT * FROM tool_cache WHERE cache_key = ?", (key,) + ).fetchone() + + if row is None: + return None + + if ttl <= 0: + return None + + cached_at = datetime.fromisoformat(row['cached_at']) + age = (datetime.now(timezone.utc) - cached_at).total_seconds() + if age > ttl: + return None + + # Cache hit — bump counter + with self._conn: + self._conn.execute( + "UPDATE tool_cache SET hit_count = hit_count + 1 WHERE cache_key = ?", + (key,) + ) + + return row['result_text'] + + def put(self, tool_name: str, arguments: Dict[str, Any], result_text: str) -> bool: + """ + Store a tool result in the cache. + + Args: + tool_name: Name of the MCP tool. + arguments: Tool call arguments. + result_text: The tool's text result. + + Returns: + True if the result is different from the previously cached value. + """ + key = _cache_key(tool_name, arguments) + new_hash = _hash_json(result_text) + now = _now_iso() + + # Check if content changed + old_row = self._conn.execute( + "SELECT content_hash FROM tool_cache WHERE cache_key = ?", (key,) + ).fetchone() + old_hash = old_row['content_hash'] if old_row else None + changed = old_hash is not None and old_hash != new_hash + + with self._conn: + self._conn.execute( + """INSERT OR REPLACE INTO tool_cache + (cache_key, tool_name, arguments, result_text, content_hash, + cached_at, hit_count, previous_hash) + VALUES (?, ?, ?, ?, ?, ?, 0, ?)""", + (key, tool_name, json.dumps(arguments, default=str), + result_text, new_hash, now, old_hash) + ) + self._conn.execute( + """INSERT INTO cache_history + (cache_key, tool_name, content_hash, timestamp, changed) + VALUES (?, ?, ?, ?, ?)""", + (key, tool_name, new_hash, now, 1 if changed else 0) + ) + + return changed + + def get_all_entries(self, tool_name: Optional[str] = None) -> List[Dict]: + """List all cache entries, optionally filtered by tool name.""" + if tool_name: + rows = self._conn.execute( + "SELECT cache_key, tool_name, arguments, cached_at, hit_count, content_hash FROM tool_cache WHERE tool_name = ?", + (tool_name,) + ).fetchall() + else: + rows = self._conn.execute( + "SELECT cache_key, tool_name, arguments, cached_at, hit_count, content_hash FROM tool_cache" + ).fetchall() + return [dict(r) for r in rows] + + def get_history(self, cache_key: Optional[str] = None, limit: int = 20) -> List[Dict]: + """Get cache change history.""" + if cache_key: + rows = self._conn.execute( + "SELECT * FROM cache_history WHERE cache_key = ? ORDER BY timestamp DESC LIMIT ?", + (cache_key, limit) + ).fetchall() + else: + rows = self._conn.execute( + "SELECT * FROM cache_history ORDER BY timestamp DESC LIMIT ?", + (limit,) + ).fetchall() + return [dict(r) for r in rows] + + def invalidate(self, tool_name: Optional[str] = None) -> int: + """ + Clear cache entries. + + Args: + tool_name: If provided, only clear entries for this tool. + If None, clear everything. + + Returns: + Number of entries removed. + """ + if tool_name: + cursor = self._conn.execute( + "DELETE FROM tool_cache WHERE tool_name = ?", (tool_name,) + ) + else: + cursor = self._conn.execute("DELETE FROM tool_cache") + self._conn.commit() + return cursor.rowcount + + def close(self) -> None: + self._conn.close() + + +def create_proxy_server( + upstream_command: str, + ttl: float = 3600, + cache_db_path: Optional[str] = None, +): + """ + Create an MCP proxy server that caches results from an upstream MCP server. + + Args: + upstream_command: Shell command to start the upstream MCP server. + ttl: Default cache TTL in seconds (0 = no caching, always forward). + cache_db_path: Path to cache database. + + Returns: + A configured FastMCP server instance. + """ + try: + from mcp.server.fastmcp import FastMCP + from mcp import ClientSession, StdioServerParameters + from mcp.client.stdio import stdio_client + except ImportError: + raise ImportError( + "MCP proxy requires the 'mcp' package. " + "Install with: pip install mcp" + ) + + import asyncio + + cache = ToolCache(db_path=cache_db_path) + + parts = upstream_command.split() + upstream_params = StdioServerParameters( + command=parts[0], + args=parts[1:] if len(parts) > 1 else [], + ) + + proxy = FastMCP( + "fetcharoo-proxy", + description=f"Caching proxy for: {upstream_command}", + ) + + # We'll store the upstream session info for tool discovery + _upstream_tools: List[Dict] = [] + + async def _call_upstream(tool_name: str, arguments: Dict[str, Any]) -> str: + """Call a tool on the upstream MCP server.""" + async with stdio_client(upstream_params) as (read, write): + async with ClientSession(read, write) as session: + await session.initialize() + result = await session.call_tool(tool_name, arguments=arguments) + + # Extract text from result + text_parts = [] + if hasattr(result, 'content'): + for item in result.content: + if hasattr(item, 'text'): + text_parts.append(item.text) + return "\n".join(text_parts) + + def _call_upstream_sync(tool_name: str, arguments: Dict[str, Any]) -> str: + """Synchronous wrapper for calling upstream.""" + return asyncio.run(_call_upstream(tool_name, arguments)) + + # --- Meta-tools (always available) --- + + @proxy.tool() + def _cache_status() -> str: + """ + Show all cached tool calls and their freshness. + + Returns cache entries with their age, hit count, and whether + the result changed since the previous call. + """ + entries = cache.get_all_entries() + return json.dumps({ + "cache_entries": len(entries), + "ttl_seconds": ttl, + "entries": entries, + }, indent=2) + + @proxy.tool() + def _cache_history(cache_key: Optional[str] = None, limit: int = 20) -> str: + """ + View change history for cached tool calls. + + Shows when each call was made and whether the result changed. + + Args: + cache_key: Filter by specific cache key. None shows all. + limit: Maximum entries to return. + """ + history = cache.get_history(cache_key, limit) + return json.dumps({ + "history": history, + }, indent=2) + + @proxy.tool() + def _cache_clear(tool_name: Optional[str] = None) -> str: + """ + Clear the cache. + + Args: + tool_name: Clear only entries for this tool. None clears everything. + """ + count = cache.invalidate(tool_name) + return json.dumps({ + "cleared": count, + "tool_name": tool_name or "all", + }) + + @proxy.tool() + def _cache_refresh(tool_name: str, arguments: Optional[dict] = None) -> str: + """ + Force-refresh a cached tool call (bypass TTL, call upstream, cache new result). + + Args: + tool_name: The upstream tool to call. + arguments: Arguments to pass. Defaults to empty dict. + """ + if arguments is None: + arguments = {} + + result_text = _call_upstream_sync(tool_name, arguments) + changed = cache.put(tool_name, arguments, result_text) + + key = _cache_key(tool_name, arguments) + return json.dumps({ + "cache_key": key, + "changed_since_last": changed, + "result": result_text, + }, indent=2) + + @proxy.tool() + def _proxy_call(tool_name: str, arguments: Optional[dict] = None, bypass_cache: bool = False) -> str: + """ + Call any tool on the upstream MCP server through the cache. + + This is the universal proxy tool. It checks the cache first (unless + bypass_cache=True), calls the upstream server if needed, and caches + the result. + + Args: + tool_name: Name of the upstream tool to call. + arguments: Arguments dict to pass to the tool. + bypass_cache: If True, skip cache and always call upstream. + """ + if arguments is None: + arguments = {} + + # Check cache first + if not bypass_cache: + cached = cache.get(tool_name, arguments, ttl=ttl) + if cached is not None: + key = _cache_key(tool_name, arguments) + return json.dumps({ + "_source": "cache", + "_cache_key": key, + "result": cached, + }) + + # Cache miss or bypass — call upstream + result_text = _call_upstream_sync(tool_name, arguments) + changed = cache.put(tool_name, arguments, result_text) + + key = _cache_key(tool_name, arguments) + return json.dumps({ + "_source": "upstream", + "_cache_key": key, + "_changed_since_last": changed, + "result": result_text, + }, indent=2) + + return proxy + + +def run_proxy(upstream_command: str, ttl: float = 3600, cache_db_path: Optional[str] = None): + """Start the proxy server.""" + server = create_proxy_server(upstream_command, ttl, cache_db_path) + server.run() diff --git a/fetcharoo/mcp_server.py b/fetcharoo/mcp_server.py index bc507b9..b85f15c 100644 --- a/fetcharoo/mcp_server.py +++ b/fetcharoo/mcp_server.py @@ -282,6 +282,119 @@ def find_duplicate_documents() -> str: "duplicates": result, }, indent=2) + # --- Snapshot monitoring tools --- + + from fetcharoo.mcp_monitor import SnapshotStore, snapshot_data + + _snapshot_store = SnapshotStore() + + @mcp.tool() + def snapshot_monitor( + source_key: str, + records: list, + record_id_field: str = "id", + ) -> str: + """ + Snapshot a list of records and diff against the previous snapshot. + + Use this to monitor ANY data source for changes over time — clinical trials, + document listings, API results, etc. Pass the data you've already fetched, + and fetcharoo will tell you what's new, changed, or removed since last time. + + Args: + source_key: A name for this data source (e.g., "diabetes-trials-recruiting"). + records: List of record dicts to snapshot. + record_id_field: Dot-notation path to the unique ID in each record + (e.g., "protocolSection.identificationModule.nctId" for clinical trials, + or "id" for simpler records). + """ + diff = snapshot_data( + store=_snapshot_store, + source_key=source_key, + records=records, + record_id_field=record_id_field, + ) + return json.dumps({ + "source_key": diff.source_key, + "has_changes": diff.has_changes, + "summary": { + "new": len(diff.new), + "changed": len(diff.changed), + "removed": len(diff.removed), + "unchanged": len(diff.unchanged), + }, + "new_records": [{"id": r.record_id, "data": r.data} for r in diff.new], + "changed_records": [{"id": r.record_id, "data": r.data} for r in diff.changed], + "removed_records": [{"id": r.record_id} for r in diff.removed], + }, indent=2) + + @mcp.tool() + def snapshot_query( + source_key: str, + ) -> str: + """ + Get all current records for a monitored data source. + + Returns the latest snapshot of all active records. + + Args: + source_key: The data source name (e.g., "diabetes-trials-recruiting"). + """ + records = _snapshot_store.get_current_records(source_key) + return json.dumps({ + "source_key": source_key, + "record_count": len(records), + "records": records, + }, indent=2) + + @mcp.tool() + def snapshot_history( + source_key: Optional[str] = None, + ) -> str: + """ + View the history of snapshot runs for a data source. + + Shows when each snapshot was taken and what changed. + + Args: + source_key: Filter by source name. If None, shows all sources. + """ + history = _snapshot_store.get_snapshot_history(source_key) + return json.dumps({ + "runs": history, + }, indent=2) + + @mcp.tool() + def snapshot_sources() -> str: + """ + List all data sources being monitored via snapshots. + + Shows each source with its record count and last update time. + """ + sources = _snapshot_store.list_sources() + return json.dumps({ + "sources": sources, + }, indent=2) + + @mcp.tool() + def snapshot_search( + query: str, + source_key: Optional[str] = None, + ) -> str: + """ + Search across all snapshot records by content. + + Args: + query: Search string to match against record data. + source_key: Optionally limit search to a specific source. + """ + results = _snapshot_store.search_records(query, source_key) + return json.dumps({ + "query": query, + "results_count": len(results), + "results": results, + }, indent=2) + return mcp diff --git a/fetcharoo/presets/__init__.py b/fetcharoo/presets/__init__.py new file mode 100644 index 0000000..4fe4613 --- /dev/null +++ b/fetcharoo/presets/__init__.py @@ -0,0 +1,9 @@ +""" +Monitoring presets for common MCP servers. + +Each preset defines how to snapshot and diff a specific MCP server type. +""" + +from fetcharoo.presets.clinical_trials import CLINICAL_TRIALS_PRESET + +__all__ = ["CLINICAL_TRIALS_PRESET"] diff --git a/fetcharoo/presets/clinical_trials.py b/fetcharoo/presets/clinical_trials.py new file mode 100644 index 0000000..fa630a4 --- /dev/null +++ b/fetcharoo/presets/clinical_trials.py @@ -0,0 +1,140 @@ +""" +Preset configuration for monitoring ClinicalTrials.gov MCP servers. + +Works with common clinical trials MCP servers including: +- cyanheads/clinicaltrialsgov-mcp-server +- JackKuo666/ClinicalTrials-MCP-Server +- Augmented-Nature/ClinicalTrials-MCP-Server +- MALathon/trial-guide + +All of these wrap the ClinicalTrials.gov API v2, so the data model is consistent. + +Usage: + from fetcharoo.presets.clinical_trials import CLINICAL_TRIALS_PRESET + from fetcharoo.mcp_monitor import SnapshotStore, snapshot_data + + # If you already have data from your MCP server: + store = SnapshotStore() + diff = snapshot_data( + store=store, + source_key="diabetes-recruiting", + records=studies, # list of study dicts from your MCP server + record_id_field=CLINICAL_TRIALS_PRESET["record_id_field"], + ) + + # Or use the async MCP client to call the server directly: + from fetcharoo.mcp_monitor import snapshot_mcp_tool + diff = await snapshot_mcp_tool( + store=store, + server_command=CLINICAL_TRIALS_PRESET["server_command"], + tool_name="search_studies", + tool_params={"query.cond": "diabetes", "filter.overallStatus": "RECRUITING"}, + record_id_field=CLINICAL_TRIALS_PRESET["record_id_field"], + results_field=CLINICAL_TRIALS_PRESET["results_field"], + ) +""" + +from dataclasses import dataclass, field +from typing import Any, Dict, List, Optional + + +# --- ClinicalTrials.gov API v2 field paths --- +# These are the standard nested paths in the API v2 response. +# All MCP servers wrapping this API use the same structure. + +# The unique identifier for each study +NCTID_FIELD = "protocolSection.identificationModule.nctId" + +# Common fields for display/summary +TITLE_FIELD = "protocolSection.identificationModule.officialTitle" +BRIEF_TITLE_FIELD = "protocolSection.identificationModule.briefTitle" +STATUS_FIELD = "protocolSection.statusModule.overallStatus" +PHASE_FIELD = "protocolSection.designModule.phases" +CONDITIONS_FIELD = "protocolSection.conditionsModule.conditions" +INTERVENTIONS_FIELD = "protocolSection.armsInterventionsModule.interventions" +SPONSOR_FIELD = "protocolSection.sponsorCollaboratorsModule.leadSponsor.name" +ENROLLMENT_FIELD = "protocolSection.designModule.enrollmentInfo.count" +START_DATE_FIELD = "protocolSection.statusModule.startDateStruct.date" +LAST_UPDATE_FIELD = "protocolSection.statusModule.lastUpdatePostDateStruct.date" + +# Where results are nested in common MCP server responses +# Different servers may nest results differently: +COMMON_RESULTS_FIELDS = ["studies", "results", "data", "items"] + + +@dataclass +class ClinicalTrialsPreset: + """Configuration preset for clinical trials MCP monitoring.""" + record_id_field: str = NCTID_FIELD + results_field: Optional[str] = "studies" + server_command: Optional[List[str]] = None + + # Fields to extract for human-readable summaries + summary_fields: Dict[str, str] = field(default_factory=lambda: { + "nct_id": NCTID_FIELD, + "title": BRIEF_TITLE_FIELD, + "status": STATUS_FIELD, + "phase": PHASE_FIELD, + "conditions": CONDITIONS_FIELD, + "sponsor": SPONSOR_FIELD, + "enrollment": ENROLLMENT_FIELD, + "start_date": START_DATE_FIELD, + "last_update": LAST_UPDATE_FIELD, + }) + + def format_record_summary(self, record: Dict[str, Any]) -> str: + """Format a study record into a readable one-line summary.""" + from fetcharoo.mcp_monitor import _extract_nested + + nct_id = _extract_nested(record, self.record_id_field) or "Unknown" + title = _extract_nested(record, BRIEF_TITLE_FIELD) or "Untitled" + status = _extract_nested(record, STATUS_FIELD) or "Unknown" + phase = _extract_nested(record, PHASE_FIELD) + if isinstance(phase, list): + phase = ", ".join(str(p) for p in phase) + phase_str = f" [{phase}]" if phase else "" + + return f"{nct_id}: {title} ({status}{phase_str})" + + def format_diff_summary(self, diff) -> str: + """Format a SnapshotDiff into a clinical-trials-specific summary.""" + lines = [f"Clinical Trials Monitor — {diff.source_key}"] + lines.append(f" {diff.summary}") + lines.append("") + + if diff.new: + lines.append(" New trials:") + for rec in diff.new: + lines.append(f" + {self.format_record_summary(rec.data)}") + + if diff.changed: + lines.append(" Updated trials:") + for rec in diff.changed: + lines.append(f" ~ {self.format_record_summary(rec.data)}") + + if diff.removed: + lines.append(" Removed trials:") + for rec in diff.removed: + lines.append(f" - {self.format_record_summary(rec.data)}") + + if not diff.has_changes: + lines.append(" No changes since last check.") + + return "\n".join(lines) + + +# Default preset instance +CLINICAL_TRIALS_PRESET = ClinicalTrialsPreset() + + +# --- Alternative record_id_field values for different MCP server formats --- +# Some servers flatten the structure. Try these if the default doesn't work: + +ALTERNATIVE_ID_FIELDS = [ + "protocolSection.identificationModule.nctId", # Standard API v2 nested + "nctId", # Flattened by some servers + "NCTId", # Alternative casing + "id", # Generic + "study_id", # Some custom servers + "trialId", # Another variant +] diff --git a/tests/test_mcp_monitor.py b/tests/test_mcp_monitor.py new file mode 100644 index 0000000..0cec32b --- /dev/null +++ b/tests/test_mcp_monitor.py @@ -0,0 +1,290 @@ +"""Tests for MCP source monitoring and snapshot diffing.""" + +import json +import os +import tempfile +import unittest + +from fetcharoo.mcp_monitor import ( + SnapshotStore, + SnapshotDiff, + SnapshotRecord, + snapshot_data, + _extract_nested, + _hash_json, +) + + +class TestHelpers(unittest.TestCase): + + def test_extract_nested_simple(self): + self.assertEqual(_extract_nested({"a": 1}, "a"), 1) + + def test_extract_nested_deep(self): + data = {"a": {"b": {"c": 42}}} + self.assertEqual(_extract_nested(data, "a.b.c"), 42) + + def test_extract_nested_missing(self): + self.assertIsNone(_extract_nested({"a": 1}, "b")) + + def test_extract_nested_list_index(self): + data = {"items": [{"id": "first"}, {"id": "second"}]} + self.assertEqual(_extract_nested(data, "items.0.id"), "first") + self.assertEqual(_extract_nested(data, "items.1.id"), "second") + + def test_extract_nested_none_safe(self): + self.assertIsNone(_extract_nested(None, "a.b")) + + def test_hash_json_deterministic(self): + h1 = _hash_json({"a": 1, "b": 2}) + h2 = _hash_json({"b": 2, "a": 1}) # different order, same content + self.assertEqual(h1, h2) + + def test_hash_json_different(self): + h1 = _hash_json({"a": 1}) + h2 = _hash_json({"a": 2}) + self.assertNotEqual(h1, h2) + + +class TestSnapshotStore(unittest.TestCase): + + def setUp(self): + self.tmp = tempfile.mktemp(suffix='.db') + self.store = SnapshotStore(db_path=self.tmp) + + def tearDown(self): + self.store.close() + if os.path.exists(self.tmp): + os.unlink(self.tmp) + + def test_empty_store(self): + sources = self.store.list_sources() + self.assertEqual(len(sources), 0) + + def test_first_snapshot_all_new(self): + records = [ + {"id": "NCT001", "title": "Trial A", "status": "RECRUITING"}, + {"id": "NCT002", "title": "Trial B", "status": "ACTIVE"}, + ] + diff = self.store.take_snapshot("trials:diabetes", records, "id") + + self.assertEqual(len(diff.new), 2) + self.assertEqual(len(diff.unchanged), 0) + self.assertEqual(len(diff.removed), 0) + self.assertTrue(diff.has_changes) + + def test_second_snapshot_unchanged(self): + records = [{"id": "NCT001", "title": "Trial A"}] + self.store.take_snapshot("test", records, "id") + + diff = self.store.take_snapshot("test", records, "id") + self.assertEqual(len(diff.new), 0) + self.assertEqual(len(diff.unchanged), 1) + self.assertEqual(len(diff.removed), 0) + self.assertFalse(diff.has_changes) + + def test_snapshot_detects_new(self): + self.store.take_snapshot("test", [{"id": "A"}], "id") + diff = self.store.take_snapshot("test", [{"id": "A"}, {"id": "B"}], "id") + + self.assertEqual(len(diff.new), 1) + self.assertEqual(diff.new[0].record_id, "B") + self.assertEqual(len(diff.unchanged), 1) + + def test_snapshot_detects_removed(self): + self.store.take_snapshot("test", [{"id": "A"}, {"id": "B"}], "id") + diff = self.store.take_snapshot("test", [{"id": "A"}], "id") + + self.assertEqual(len(diff.removed), 1) + self.assertEqual(diff.removed[0].record_id, "B") + + def test_snapshot_detects_changed(self): + self.store.take_snapshot("test", [{"id": "A", "val": 1}], "id") + diff = self.store.take_snapshot("test", [{"id": "A", "val": 2}], "id") + + self.assertEqual(len(diff.changed), 1) + self.assertEqual(diff.changed[0].record_id, "A") + + def test_snapshot_mixed_changes(self): + self.store.take_snapshot("test", [ + {"id": "keep", "v": 1}, + {"id": "change", "v": 1}, + {"id": "remove", "v": 1}, + ], "id") + + diff = self.store.take_snapshot("test", [ + {"id": "keep", "v": 1}, # unchanged + {"id": "change", "v": 2}, # changed + {"id": "added", "v": 1}, # new + ], "id") + + self.assertEqual(len(diff.unchanged), 1) + self.assertEqual(len(diff.changed), 1) + self.assertEqual(len(diff.new), 1) + self.assertEqual(len(diff.removed), 1) + + def test_nested_record_id(self): + records = [ + {"protocol": {"id_module": {"nctId": "NCT001"}}, "title": "A"}, + {"protocol": {"id_module": {"nctId": "NCT002"}}, "title": "B"}, + ] + diff = self.store.take_snapshot("trials", records, "protocol.id_module.nctId") + + self.assertEqual(len(diff.new), 2) + ids = {r.record_id for r in diff.new} + self.assertEqual(ids, {"NCT001", "NCT002"}) + + def test_get_current_records(self): + records = [{"id": "A", "data": 1}, {"id": "B", "data": 2}] + self.store.take_snapshot("test", records, "id") + + current = self.store.get_current_records("test") + self.assertEqual(len(current), 2) + + def test_get_record(self): + self.store.take_snapshot("test", [{"id": "A", "val": 42}], "id") + rec = self.store.get_record("test", "A") + self.assertIsNotNone(rec) + self.assertEqual(rec['data']['val'], 42) + + def test_get_record_not_found(self): + rec = self.store.get_record("test", "nonexistent") + self.assertIsNone(rec) + + def test_snapshot_history(self): + self.store.take_snapshot("test", [{"id": "A"}], "id") + self.store.take_snapshot("test", [{"id": "A"}, {"id": "B"}], "id") + + history = self.store.get_snapshot_history("test") + self.assertEqual(len(history), 2) + + def test_list_sources(self): + self.store.take_snapshot("source_a", [{"id": "1"}], "id") + self.store.take_snapshot("source_b", [{"id": "2"}, {"id": "3"}], "id") + + sources = self.store.list_sources() + self.assertEqual(len(sources), 2) + + def test_search_records(self): + self.store.take_snapshot("trials", [ + {"id": "NCT001", "condition": "diabetes"}, + {"id": "NCT002", "condition": "cancer"}, + ], "id") + + results = self.store.search_records("diabetes") + self.assertEqual(len(results), 1) + self.assertEqual(results[0]['record_id'], "NCT001") + + def test_export_json(self): + self.store.take_snapshot("test", [{"id": "A"}], "id") + exported = self.store.export_json("test") + data = json.loads(exported) + self.assertEqual(len(data), 1) + + def test_summary_string(self): + diff = SnapshotDiff( + source_key="test", + new=[SnapshotRecord("1", "h1")], + removed=[SnapshotRecord("2", "h2")], + ) + self.assertIn("new=1", diff.summary) + self.assertIn("removed=1", diff.summary) + + +class TestSnapshotData(unittest.TestCase): + """Test the synchronous snapshot_data convenience function.""" + + def setUp(self): + self.tmp = tempfile.mktemp(suffix='.db') + self.store = SnapshotStore(db_path=self.tmp) + + def tearDown(self): + self.store.close() + if os.path.exists(self.tmp): + os.unlink(self.tmp) + + def test_snapshot_data_basic(self): + records = [{"id": "1", "name": "alpha"}, {"id": "2", "name": "beta"}] + diff = snapshot_data(self.store, "test", records, "id") + self.assertEqual(len(diff.new), 2) + self.assertTrue(diff.has_changes) + + def test_snapshot_data_idempotent(self): + records = [{"id": "1", "name": "alpha"}] + snapshot_data(self.store, "test", records, "id") + diff = snapshot_data(self.store, "test", records, "id") + self.assertFalse(diff.has_changes) + + +class TestToolCache(unittest.TestCase): + """Test the MCP proxy tool cache.""" + + def setUp(self): + self.tmp = tempfile.mktemp(suffix='.db') + from fetcharoo.mcp_proxy import ToolCache + self.cache = ToolCache(db_path=self.tmp) + + def tearDown(self): + self.cache.close() + if os.path.exists(self.tmp): + os.unlink(self.tmp) + + def test_cache_miss(self): + result = self.cache.get("tool", {"q": "test"}) + self.assertIsNone(result) + + def test_cache_put_and_get(self): + self.cache.put("tool", {"q": "test"}, "result text") + result = self.cache.get("tool", {"q": "test"}, ttl=3600) + self.assertEqual(result, "result text") + + def test_cache_ttl_zero_always_miss(self): + self.cache.put("tool", {"q": "test"}, "result text") + result = self.cache.get("tool", {"q": "test"}, ttl=0) + self.assertIsNone(result) + + def test_cache_detects_change(self): + self.cache.put("tool", {}, "version 1") + changed = self.cache.put("tool", {}, "version 2") + self.assertTrue(changed) + + def test_cache_no_change(self): + self.cache.put("tool", {}, "same") + changed = self.cache.put("tool", {}, "same") + self.assertFalse(changed) + + def test_cache_invalidate(self): + self.cache.put("tool_a", {}, "a") + self.cache.put("tool_b", {}, "b") + count = self.cache.invalidate("tool_a") + self.assertEqual(count, 1) + self.assertIsNone(self.cache.get("tool_a", {}, ttl=3600)) + self.assertIsNotNone(self.cache.get("tool_b", {}, ttl=3600)) + + def test_cache_invalidate_all(self): + self.cache.put("tool_a", {}, "a") + self.cache.put("tool_b", {}, "b") + count = self.cache.invalidate() + self.assertEqual(count, 2) + + def test_cache_history(self): + self.cache.put("tool", {}, "v1") + self.cache.put("tool", {}, "v2") + history = self.cache.get_history() + self.assertEqual(len(history), 2) + + def test_get_all_entries(self): + self.cache.put("tool_a", {"x": 1}, "a") + self.cache.put("tool_b", {"y": 2}, "b") + entries = self.cache.get_all_entries() + self.assertEqual(len(entries), 2) + + def test_get_all_entries_filtered(self): + self.cache.put("tool_a", {}, "a") + self.cache.put("tool_b", {}, "b") + entries = self.cache.get_all_entries("tool_a") + self.assertEqual(len(entries), 1) + + +if __name__ == '__main__': + unittest.main() From 385ac3504a6802f123f4ca2f2e7c7e4f2af2b984 Mon Sep 17 00:00:00 2001 From: Claude Date: Tue, 7 Apr 2026 23:49:31 +0000 Subject: [PATCH 6/6] Unify MCP server and proxy into single mode Merge the separate MCP server and proxy into one server: - fetcharoo mcp serve (standalone) - fetcharoo mcp serve --upstream X (with caching proxy) When --upstream is provided, upstream_call, upstream_refresh, cache_status, and cache_clear tools are added alongside the existing PDF + snapshot tools. No separate proxy command needed. https://claude.ai/code/session_01EFk8Enntgip8z3nqk1ppkA --- fetcharoo/cli.py | 33 ++-- fetcharoo/mcp_server.py | 408 ++++++++++++++++++---------------------- 2 files changed, 199 insertions(+), 242 deletions(-) diff --git a/fetcharoo/cli.py b/fetcharoo/cli.py index 73d80d0..db13ae3 100644 --- a/fetcharoo/cli.py +++ b/fetcharoo/cli.py @@ -18,7 +18,7 @@ from fetcharoo.filtering import FilterConfig # Subcommands that the CLI recognizes -SUBCOMMANDS = {'diff', 'watch', 'catalog', 'schemas', 'mcp', 'proxy', 'monitor'} +SUBCOMMANDS = {'diff', 'watch', 'catalog', 'schemas', 'mcp', 'monitor'} def configure_logging(quiet: int, verbose: int) -> None: @@ -517,28 +517,21 @@ def _handle_schemas(argv: list) -> int: def _handle_mcp(argv: list) -> int: """Handle the 'mcp' subcommand.""" if not argv or argv[0] != 'serve': - print("Usage: fetcharoo mcp serve") + print("Usage: fetcharoo mcp serve [--upstream CMD] [--ttl SECONDS]") return 1 - from fetcharoo.mcp_server import main as mcp_main - mcp_main() - return 0 - - -def _handle_proxy(argv: list) -> int: - """Handle the 'proxy' subcommand — MCP caching proxy.""" - parser = argparse.ArgumentParser( - prog='fetcharoo proxy', - description='Start a caching MCP proxy that wraps any upstream MCP server.', - ) - parser.add_argument('--server', type=str, required=True, help='command to start upstream MCP server (e.g., "npx trial-guide")') - parser.add_argument('--ttl', type=float, default=3600, help='cache TTL in seconds (default: 3600, 0=no cache)') - parser.add_argument('--cache-db', type=str, help='path to cache database') + parser = argparse.ArgumentParser(prog='fetcharoo mcp serve') + parser.add_argument('--upstream', type=str, default=None, + help='upstream MCP server command to proxy (e.g., "npx trial-guide")') + parser.add_argument('--ttl', type=float, default=3600, + help='cache TTL for proxied calls in seconds (default: 3600)') + parser.add_argument('--cache-db', type=str, default=None, + help='path to cache database') - args = parser.parse_args(argv) + args = parser.parse_args(argv[1:]) # skip 'serve' - from fetcharoo.mcp_proxy import run_proxy - run_proxy(args.server, ttl=args.ttl, cache_db_path=args.cache_db) + from fetcharoo.mcp_server import main as mcp_main + mcp_main(upstream=args.upstream, ttl=args.ttl, cache_db=args.cache_db) return 0 @@ -690,8 +683,6 @@ def main(argv: Optional[list] = None) -> int: return _handle_schemas(rest) elif command == 'mcp': return _handle_mcp(rest) - elif command == 'proxy': - return _handle_proxy(rest) elif command == 'monitor': return _handle_monitor(rest) except KeyboardInterrupt: diff --git a/fetcharoo/mcp_server.py b/fetcharoo/mcp_server.py index b85f15c..4185e1d 100644 --- a/fetcharoo/mcp_server.py +++ b/fetcharoo/mcp_server.py @@ -1,13 +1,17 @@ """ -MCP (Model Context Protocol) server for fetcharoo. +MCP server for fetcharoo. -Exposes fetcharoo's stateful capabilities as MCP tools, enabling AI agents -to discover, download, and track PDF documents persistently. +A single MCP server that provides: + 1. PDF discovery, download, and tracking tools (always available) + 2. Snapshot monitoring for any data source (always available) + 3. Caching proxy for an upstream MCP server (when --upstream is provided) Usage: + # Standalone — PDF tools + snapshot monitoring fetcharoo mcp serve - # or directly: - python -m fetcharoo.mcp_server + + # With upstream proxy — all of the above + cached proxy to another MCP server + fetcharoo mcp serve --upstream "npx trial-guide" --ttl 3600 """ import json @@ -28,15 +32,21 @@ def _check_mcp_available(): return False -def create_server(): +def create_server( + upstream_command: Optional[str] = None, + ttl: float = 3600, + cache_db_path: Optional[str] = None, +): """ - Create and configure the fetcharoo MCP server. + Create the unified fetcharoo MCP server. + + Args: + upstream_command: If provided, also proxy this upstream MCP server with caching. + ttl: Cache TTL in seconds for proxied calls (default: 1 hour). + cache_db_path: Path to cache/snapshot database. Returns: A configured FastMCP server instance. - - Raises: - ImportError: If the mcp package is not installed. """ try: from mcp.server.fastmcp import FastMCP @@ -46,18 +56,23 @@ def create_server(): "Install it with: pip install 'fetcharoo[mcp]' or pip install mcp" ) - from fetcharoo.catalog import DocumentCatalog, DiffResult + from fetcharoo.catalog import DocumentCatalog from fetcharoo.fetcharoo import find_pdfs_from_webpage, download_pdfs_from_webpage from fetcharoo.filtering import FilterConfig - from fetcharoo.watcher import diff_once + from fetcharoo.mcp_monitor import SnapshotStore, snapshot_data + from fetcharoo.mcp_proxy import ToolCache + + desc = "PDF discovery, document tracking, and snapshot monitoring" + if upstream_command: + desc += f" | caching proxy for: {upstream_command}" - mcp = FastMCP( - "fetcharoo", - description="PDF document discovery, download, and tracking from websites", - ) + mcp = FastMCP("fetcharoo", description=desc) - # Shared catalog instance _catalog = DocumentCatalog() + _snapshot_store = SnapshotStore() + _tool_cache = ToolCache(db_path=cache_db_path) if upstream_command else None + + # ===== PDF tools (always available) ===== @mcp.tool() def discover_pdfs( @@ -69,9 +84,6 @@ def discover_pdfs( """ Discover all PDF documents available on a webpage. - Crawls the given URL (optionally following links to the specified depth) - and returns a structured list of all PDF URLs found. - Args: url: The webpage URL to search for PDFs. recursion_depth: How many levels of links to follow (0-5). @@ -79,11 +91,8 @@ def discover_pdfs( exclude_patterns: Filename patterns to exclude (e.g., ['*draft*']). """ pdf_urls = find_pdfs_from_webpage( - url, - recursion_depth=min(recursion_depth, 5), + url, recursion_depth=min(recursion_depth, 5), ) - - # Apply filtering if patterns provided if include_patterns or exclude_patterns: from fetcharoo.filtering import should_download_pdf config = FilterConfig( @@ -92,14 +101,11 @@ def discover_pdfs( ) pdf_urls = [u for u in pdf_urls if should_download_pdf(u, filter_config=config)] - # Record discoveries in catalog for pdf_url in pdf_urls: _catalog.record_discovery(pdf_url, source_page=url) return json.dumps({ - "source_url": url, - "count": len(pdf_urls), - "pdfs": pdf_urls, + "source_url": url, "count": len(pdf_urls), "pdfs": pdf_urls, }, indent=2) @mcp.tool() @@ -111,8 +117,7 @@ def download_pdfs( output_name: Optional[str] = None, ) -> str: """ - Download PDF documents from a webpage with fetcharoo's full reliability - (retry logic, rate limiting, deduplication, security hardening). + Download PDF documents from a webpage with full reliability. Args: url: The webpage URL to download PDFs from. @@ -122,13 +127,10 @@ def download_pdfs( output_name: Custom filename for merged output. """ result = download_pdfs_from_webpage( - url, - recursion_depth=min(recursion_depth, 5), + url, recursion_depth=min(recursion_depth, 5), mode='merge' if merge else 'separate', - write_dir=output_dir, - output_name=output_name, + write_dir=output_dir, output_name=output_name, ) - return json.dumps({ "success": result.success, "downloaded_count": result.downloaded_count, @@ -138,158 +140,76 @@ def download_pdfs( "errors": result.errors, }, indent=2) - @mcp.tool() - def catalog_query( - source_url: Optional[str] = None, - ) -> str: - """ - Query the persistent document catalog. + # ===== Catalog tools (always available) ===== - Shows all documents fetcharoo has ever seen, with metadata including - when they were first/last seen, content hashes, and file sizes. - This is persistent memory across sessions. - - Args: - source_url: If provided, only show documents from this source page. - """ + @mcp.tool() + def catalog_query(source_url: Optional[str] = None) -> str: + """Query the persistent document catalog. Shows all tracked documents.""" docs = _catalog.get_active_documents(source_page=source_url) return json.dumps({ "total_documents": len(docs), "documents": [ - { - "url": d.url, - "filename": d.filename, - "size_bytes": d.size_bytes, - "first_seen": d.first_seen, - "last_seen": d.last_seen, - "last_changed": d.last_changed, - "status": d.status, - "metadata": d.metadata, - } + {"url": d.url, "filename": d.filename, "size_bytes": d.size_bytes, + "first_seen": d.first_seen, "last_seen": d.last_seen, + "status": d.status, "metadata": d.metadata} for d in docs ], }, indent=2) @mcp.tool() - def catalog_diff( - url: str, - recursion_depth: int = 0, - ) -> str: - """ - Check what's changed since the last time fetcharoo looked at a URL. - - Compares the current state of PDFs on a webpage against what's stored - in the catalog. Reports new, removed, and unchanged documents. - - Args: - url: The webpage URL to check for changes. - recursion_depth: How many levels of links to follow (0-5). - """ - current_urls = find_pdfs_from_webpage( - url, - recursion_depth=min(recursion_depth, 5), - ) - + def catalog_diff(url: str, recursion_depth: int = 0) -> str: + """Check what PDFs have changed since last check on a URL.""" + current_urls = find_pdfs_from_webpage(url, recursion_depth=min(recursion_depth, 5)) diff = _catalog.diff(current_urls) - - # Update catalog for doc in diff.new: _catalog.record_discovery(doc.url, source_page=url) for doc in diff.removed: _catalog.mark_removed(doc.url) _catalog.record_run(url, diff) - return json.dumps({ "source_url": url, - "summary": { - "new": len(diff.new), - "changed": len(diff.changed), - "removed": len(diff.removed), - "unchanged": len(diff.unchanged), - }, + "summary": {"new": len(diff.new), "changed": len(diff.changed), + "removed": len(diff.removed), "unchanged": len(diff.unchanged)}, "new_documents": [d.url for d in diff.new], "removed_documents": [d.url for d in diff.removed], - "unchanged_documents": [d.url for d in diff.unchanged], }, indent=2) @mcp.tool() - def catalog_search( - query: str, - ) -> str: - """ - Search across all tracked documents by URL or filename substring. - - Args: - query: Search string to match against document URLs and filenames. - """ + def catalog_search(query: str) -> str: + """Search tracked documents by URL or filename.""" docs = _catalog.search(query) return json.dumps({ - "query": query, - "results_count": len(docs), - "results": [ - { - "url": d.url, - "filename": d.filename, - "status": d.status, - "first_seen": d.first_seen, - "last_seen": d.last_seen, - } - for d in docs - ], + "query": query, "results_count": len(docs), + "results": [{"url": d.url, "filename": d.filename, "status": d.status, + "first_seen": d.first_seen, "last_seen": d.last_seen} + for d in docs], }, indent=2) @mcp.tool() - def get_document_metadata( - url: str, - ) -> str: - """ - Get detailed information about a specific tracked document. - - Args: - url: The URL of the document to look up. - """ + def get_document_metadata(url: str) -> str: + """Get detailed info about a tracked document.""" doc = _catalog.get_document(url) if doc is None: return json.dumps({"error": f"Document not found: {url}"}) - return json.dumps({ - "url": doc.url, - "filename": doc.filename, - "content_hash": doc.content_hash, - "size_bytes": doc.size_bytes, - "first_seen": doc.first_seen, - "last_seen": doc.last_seen, - "last_changed": doc.last_changed, - "status": doc.status, - "source_page": doc.source_page, - "metadata": doc.metadata, + "url": doc.url, "filename": doc.filename, + "content_hash": doc.content_hash, "size_bytes": doc.size_bytes, + "first_seen": doc.first_seen, "last_seen": doc.last_seen, + "last_changed": doc.last_changed, "status": doc.status, + "source_page": doc.source_page, "metadata": doc.metadata, }, indent=2) @mcp.tool() def find_duplicate_documents() -> str: - """ - Find documents that have identical content but different URLs. - - Uses content hashing to detect when the same PDF exists at multiple URLs. - """ + """Find documents with identical content at different URLs.""" duplicates = _catalog.find_duplicates() - result = {} - for hash_val, docs in duplicates.items(): - result[hash_val] = [d.url for d in docs] + result = {h: [d.url for d in docs] for h, docs in duplicates.items()} + return json.dumps({"duplicate_groups": len(result), "duplicates": result}, indent=2) - return json.dumps({ - "duplicate_groups": len(result), - "duplicates": result, - }, indent=2) - - # --- Snapshot monitoring tools --- - - from fetcharoo.mcp_monitor import SnapshotStore, snapshot_data - - _snapshot_store = SnapshotStore() + # ===== Snapshot monitoring tools (always available) ===== @mcp.tool() - def snapshot_monitor( + def snapshot( source_key: str, records: list, record_id_field: str = "id", @@ -297,108 +217,154 @@ def snapshot_monitor( """ Snapshot a list of records and diff against the previous snapshot. - Use this to monitor ANY data source for changes over time — clinical trials, - document listings, API results, etc. Pass the data you've already fetched, - and fetcharoo will tell you what's new, changed, or removed since last time. + Use this to monitor ANY data source for changes over time. + Pass data you've already fetched from any tool or API, and get back + what's new, changed, or removed since last time. Args: - source_key: A name for this data source (e.g., "diabetes-trials-recruiting"). + source_key: Name for this data source (e.g., "diabetes-trials"). records: List of record dicts to snapshot. - record_id_field: Dot-notation path to the unique ID in each record - (e.g., "protocolSection.identificationModule.nctId" for clinical trials, - or "id" for simpler records). + record_id_field: Dot-notation path to the unique ID in each record. """ diff = snapshot_data( - store=_snapshot_store, - source_key=source_key, - records=records, - record_id_field=record_id_field, + store=_snapshot_store, source_key=source_key, + records=records, record_id_field=record_id_field, ) return json.dumps({ - "source_key": diff.source_key, - "has_changes": diff.has_changes, - "summary": { - "new": len(diff.new), - "changed": len(diff.changed), - "removed": len(diff.removed), - "unchanged": len(diff.unchanged), - }, + "source_key": diff.source_key, "has_changes": diff.has_changes, + "summary": {"new": len(diff.new), "changed": len(diff.changed), + "removed": len(diff.removed), "unchanged": len(diff.unchanged)}, "new_records": [{"id": r.record_id, "data": r.data} for r in diff.new], "changed_records": [{"id": r.record_id, "data": r.data} for r in diff.changed], "removed_records": [{"id": r.record_id} for r in diff.removed], }, indent=2) @mcp.tool() - def snapshot_query( - source_key: str, - ) -> str: - """ - Get all current records for a monitored data source. - - Returns the latest snapshot of all active records. - - Args: - source_key: The data source name (e.g., "diabetes-trials-recruiting"). - """ + def snapshot_query(source_key: str) -> str: + """Get all current records for a monitored data source.""" records = _snapshot_store.get_current_records(source_key) return json.dumps({ - "source_key": source_key, - "record_count": len(records), - "records": records, - }, indent=2) - - @mcp.tool() - def snapshot_history( - source_key: Optional[str] = None, - ) -> str: - """ - View the history of snapshot runs for a data source. - - Shows when each snapshot was taken and what changed. - - Args: - source_key: Filter by source name. If None, shows all sources. - """ - history = _snapshot_store.get_snapshot_history(source_key) - return json.dumps({ - "runs": history, + "source_key": source_key, "record_count": len(records), "records": records, }, indent=2) @mcp.tool() def snapshot_sources() -> str: - """ - List all data sources being monitored via snapshots. - - Shows each source with its record count and last update time. - """ + """List all data sources being monitored.""" sources = _snapshot_store.list_sources() - return json.dumps({ - "sources": sources, - }, indent=2) + return json.dumps({"sources": sources}, indent=2) @mcp.tool() - def snapshot_search( - query: str, - source_key: Optional[str] = None, - ) -> str: - """ - Search across all snapshot records by content. - - Args: - query: Search string to match against record data. - source_key: Optionally limit search to a specific source. - """ + def snapshot_search(query: str, source_key: Optional[str] = None) -> str: + """Search across all snapshot records by content.""" results = _snapshot_store.search_records(query, source_key) return json.dumps({ - "query": query, - "results_count": len(results), - "results": results, + "query": query, "results_count": len(results), "results": results, }, indent=2) + # ===== Upstream proxy tools (only when --upstream is provided) ===== + + if upstream_command and _tool_cache: + import asyncio + from mcp import ClientSession, StdioServerParameters + from mcp.client.stdio import stdio_client + + parts = upstream_command.split() + upstream_params = StdioServerParameters( + command=parts[0], + args=parts[1:] if len(parts) > 1 else [], + ) + + async def _call_upstream(tool_name: str, arguments: dict) -> str: + async with stdio_client(upstream_params) as (read, write): + async with ClientSession(read, write) as session: + await session.initialize() + result = await session.call_tool(tool_name, arguments=arguments) + text_parts = [] + if hasattr(result, 'content'): + for item in result.content: + if hasattr(item, 'text'): + text_parts.append(item.text) + return "\n".join(text_parts) + + def _call_upstream_sync(tool_name: str, arguments: dict) -> str: + return asyncio.run(_call_upstream(tool_name, arguments)) + + @mcp.tool() + def upstream_call( + tool_name: str, + arguments: Optional[dict] = None, + bypass_cache: bool = False, + ) -> str: + """ + Call a tool on the upstream MCP server through the cache. + + First checks the cache. If the result is fresh (within TTL), returns + the cached version. Otherwise calls upstream, caches, and returns. + + Args: + tool_name: Name of the upstream tool to call. + arguments: Arguments dict to pass to the tool. + bypass_cache: If True, skip cache and always call upstream. + """ + if arguments is None: + arguments = {} + + from fetcharoo.mcp_proxy import _cache_key + + if not bypass_cache: + cached = _tool_cache.get(tool_name, arguments, ttl=ttl) + if cached is not None: + key = _cache_key(tool_name, arguments) + return json.dumps({ + "_source": "cache", "_cache_key": key, "result": cached, + }) + + result_text = _call_upstream_sync(tool_name, arguments) + changed = _tool_cache.put(tool_name, arguments, result_text) + key = _cache_key(tool_name, arguments) + return json.dumps({ + "_source": "upstream", "_cache_key": key, + "_changed_since_last": changed, "result": result_text, + }, indent=2) + + @mcp.tool() + def upstream_refresh(tool_name: str, arguments: Optional[dict] = None) -> str: + """ + Force-refresh a cached upstream tool call (bypass TTL). + + Args: + tool_name: The upstream tool to refresh. + arguments: Arguments to pass. + """ + if arguments is None: + arguments = {} + from fetcharoo.mcp_proxy import _cache_key + result_text = _call_upstream_sync(tool_name, arguments) + changed = _tool_cache.put(tool_name, arguments, result_text) + key = _cache_key(tool_name, arguments) + return json.dumps({ + "cache_key": key, "changed_since_last": changed, "result": result_text, + }, indent=2) + + @mcp.tool() + def cache_status() -> str: + """Show all cached upstream tool calls and their freshness.""" + entries = _tool_cache.get_all_entries() + return json.dumps({ + "upstream": upstream_command, "ttl_seconds": ttl, + "cache_entries": len(entries), "entries": entries, + }, indent=2) + + @mcp.tool() + def cache_clear(tool_name: Optional[str] = None) -> str: + """Clear the upstream cache. Optionally filter by tool name.""" + count = _tool_cache.invalidate(tool_name) + return json.dumps({"cleared": count, "tool_name": tool_name or "all"}) + return mcp -def main(): +def main(upstream: Optional[str] = None, ttl: float = 3600, cache_db: Optional[str] = None): """Run the fetcharoo MCP server.""" if not _check_mcp_available(): print( @@ -408,7 +374,7 @@ def main(): ) sys.exit(1) - server = create_server() + server = create_server(upstream_command=upstream, ttl=ttl, cache_db_path=cache_db) server.run()