517 lines
20 KiB
Python
517 lines
20 KiB
Python
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"""Advanced PyPI search client with filtering, sorting, and semantic search capabilities."""
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import asyncio
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import logging
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import re
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from datetime import datetime, timezone
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from typing import Any, Dict, List, Optional, Set
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from urllib.parse import quote_plus
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import httpx
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from packaging import version as pkg_version
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from .exceptions import NetworkError, SearchError
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from .pypi_client import PyPIClient
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logger = logging.getLogger(__name__)
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class SearchFilter:
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"""Search filter configuration."""
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def __init__(
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self,
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python_versions: Optional[List[str]] = None,
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licenses: Optional[List[str]] = None,
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categories: Optional[List[str]] = None,
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min_downloads: Optional[int] = None,
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max_age_days: Optional[int] = None,
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maintenance_status: Optional[str] = None, # active, maintained, stale, abandoned
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has_wheels: Optional[bool] = None,
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min_python_version: Optional[str] = None,
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max_python_version: Optional[str] = None,
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):
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self.python_versions = python_versions or []
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self.licenses = licenses or []
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self.categories = categories or []
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self.min_downloads = min_downloads
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self.max_age_days = max_age_days
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self.maintenance_status = maintenance_status
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self.has_wheels = has_wheels
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self.min_python_version = min_python_version
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self.max_python_version = max_python_version
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class SearchSort:
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"""Search sorting configuration."""
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POPULARITY = "popularity"
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RECENCY = "recency"
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RELEVANCE = "relevance"
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QUALITY = "quality"
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NAME = "name"
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DOWNLOADS = "downloads"
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def __init__(self, field: str = RELEVANCE, reverse: bool = True):
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self.field = field
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self.reverse = reverse
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class PyPISearchClient:
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"""Advanced PyPI search client with comprehensive filtering and analysis."""
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def __init__(self, timeout: float = 30.0):
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self.timeout = timeout
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self.pypi_client = None
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# Common license mappings
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self.license_aliases = {
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"mit": ["MIT", "MIT License"],
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"apache": ["Apache", "Apache 2.0", "Apache-2.0", "Apache Software License"],
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"bsd": ["BSD", "BSD License", "BSD-3-Clause", "BSD-2-Clause"],
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"gpl": ["GPL", "GNU General Public License", "GPL-3.0", "GPL-2.0"],
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"lgpl": ["LGPL", "GNU Lesser General Public License"],
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"mpl": ["MPL", "Mozilla Public License"],
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"unlicense": ["Unlicense", "Public Domain"],
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}
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# Category keywords for classification
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self.category_keywords = {
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"web": ["web", "flask", "django", "fastapi", "http", "rest", "api", "server", "wsgi", "asgi"],
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"data-science": ["data", "science", "machine", "learning", "ml", "ai", "pandas", "numpy", "scipy"],
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"database": ["database", "db", "sql", "nosql", "orm", "sqlite", "postgres", "mysql", "mongodb"],
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"testing": ["test", "testing", "pytest", "unittest", "mock", "coverage", "tox"],
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"cli": ["cli", "command", "terminal", "console", "argparse", "click"],
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"security": ["security", "crypto", "encryption", "ssl", "tls", "auth", "password"],
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"networking": ["network", "socket", "tcp", "udp", "http", "requests", "urllib"],
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"dev-tools": ["development", "tools", "build", "package", "deploy", "lint", "format"],
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"cloud": ["cloud", "aws", "azure", "gcp", "docker", "kubernetes", "serverless"],
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"gui": ["gui", "ui", "interface", "tkinter", "qt", "wx", "kivy"],
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}
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async def __aenter__(self):
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return self
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async def __aexit__(self, exc_type, exc_val, exc_tb):
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pass
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async def search_packages(
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self,
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query: str,
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limit: int = 20,
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filters: Optional[SearchFilter] = None,
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sort: Optional[SearchSort] = None,
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semantic_search: bool = False,
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) -> Dict[str, Any]:
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"""
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Search PyPI packages with advanced filtering and sorting.
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Args:
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query: Search query string
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limit: Maximum number of results to return
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filters: Optional search filters
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sort: Optional sort configuration
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semantic_search: Whether to use semantic search on descriptions
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Returns:
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Dictionary containing search results and metadata
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"""
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if not query or not query.strip():
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raise SearchError("Search query cannot be empty")
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filters = filters or SearchFilter()
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sort = sort or SearchSort()
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logger.info(f"Searching PyPI for: '{query}' (limit: {limit}, semantic: {semantic_search})")
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try:
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# Use PyPI's search API as the primary source
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pypi_results = await self._search_pypi_api(query, limit * 3) # Get more for filtering
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# Enhance results with additional metadata
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enhanced_results = await self._enhance_search_results(pypi_results)
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# Apply filters
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filtered_results = self._apply_filters(enhanced_results, filters)
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# Apply semantic search if requested
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if semantic_search:
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filtered_results = self._apply_semantic_search(filtered_results, query)
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# Sort results
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sorted_results = self._sort_results(filtered_results, sort)
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# Limit results
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final_results = sorted_results[:limit]
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return {
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"query": query,
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"total_found": len(pypi_results),
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"filtered_count": len(filtered_results),
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"returned_count": len(final_results),
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"packages": final_results,
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"filters_applied": self._serialize_filters(filters),
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"sort_applied": {"field": sort.field, "reverse": sort.reverse},
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"semantic_search": semantic_search,
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"timestamp": datetime.now(timezone.utc).isoformat(),
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}
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except Exception as e:
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logger.error(f"Search failed for query '{query}': {e}")
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raise SearchError(f"Search failed: {e}") from e
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async def _search_pypi_api(self, query: str, limit: int) -> List[Dict[str, Any]]:
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"""Search using PyPI's official search API."""
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url = "https://pypi.org/search/"
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params = {
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"q": query,
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"page": 1,
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}
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async with httpx.AsyncClient(timeout=self.timeout) as client:
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try:
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response = await client.get(url, params=params)
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response.raise_for_status()
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# Parse the HTML response (PyPI search returns HTML)
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return await self._parse_search_html(response.text, limit)
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except httpx.HTTPError as e:
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logger.error(f"PyPI search API error: {e}")
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# Fallback to alternative search method
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return await self._fallback_search(query, limit)
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async def _fallback_search(self, query: str, limit: int) -> List[Dict[str, Any]]:
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"""Fallback search using PyPI JSON API and our curated data."""
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from ..data.popular_packages import PACKAGES_BY_NAME, get_popular_packages
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# Search in our curated packages first
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curated_matches = []
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query_lower = query.lower()
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for package_info in get_popular_packages(limit=1000):
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name_match = query_lower in package_info.name.lower()
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desc_match = query_lower in package_info.description.lower()
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if name_match or desc_match:
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curated_matches.append({
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"name": package_info.name,
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"summary": package_info.description,
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"version": "unknown",
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"source": "curated",
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"category": package_info.category,
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"estimated_downloads": package_info.estimated_monthly_downloads,
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})
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# If we have some matches, return them
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if curated_matches:
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return curated_matches[:limit]
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# Last resort: try simple package name search
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try:
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async with PyPIClient() as client:
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# Try to get the package directly if it's an exact match
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try:
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package_data = await client.get_package_info(query)
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return [{
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"name": package_data["info"]["name"],
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"summary": package_data["info"]["summary"] or "",
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"version": package_data["info"]["version"],
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"source": "direct",
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}]
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except:
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pass
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except Exception as e:
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logger.warning(f"Fallback search failed: {e}")
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return []
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async def _parse_search_html(self, html: str, limit: int) -> List[Dict[str, Any]]:
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"""Parse PyPI search results from HTML (simplified parser)."""
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# This is a simplified parser - in production, you'd use BeautifulSoup
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# For now, return empty and rely on fallback
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return []
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async def _enhance_search_results(self, results: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
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"""Enhance search results with additional metadata from PyPI API."""
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enhanced = []
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# Process in batches to avoid overwhelming the API
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batch_size = 5
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for i in range(0, len(results), batch_size):
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batch = results[i:i + batch_size]
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batch_tasks = [
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self._enhance_single_result(result)
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for result in batch
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]
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enhanced_batch = await asyncio.gather(*batch_tasks, return_exceptions=True)
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for result in enhanced_batch:
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if isinstance(result, Exception):
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logger.warning(f"Failed to enhance result: {result}")
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continue
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if result:
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enhanced.append(result)
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return enhanced
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async def _enhance_single_result(self, result: Dict[str, Any]) -> Optional[Dict[str, Any]]:
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"""Enhance a single search result with PyPI metadata."""
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try:
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async with PyPIClient() as client:
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package_data = await client.get_package_info(result["name"])
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info = package_data["info"]
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# Extract useful metadata
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enhanced = {
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"name": info["name"],
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"summary": info["summary"] or result.get("summary", ""),
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"description": info["description"] or "",
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"version": info["version"],
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"author": info["author"] or "",
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"license": info["license"] or "",
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"home_page": info["home_page"] or "",
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"project_urls": info.get("project_urls", {}),
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"requires_python": info.get("requires_python", ""),
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"classifiers": info.get("classifiers", []),
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"keywords": info.get("keywords", ""),
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"last_modified": package_data.get("last_modified", ""),
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"download_url": info.get("download_url", ""),
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# Derived fields
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"categories": self._extract_categories(info),
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"license_type": self._normalize_license(info.get("license", "")),
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"python_versions": self._extract_python_versions(info.get("classifiers", [])),
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"has_wheels": self._check_wheels(package_data),
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"quality_score": self._calculate_quality_score(info, package_data),
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"maintenance_status": self._assess_maintenance_status(package_data),
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}
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# Add original search metadata
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enhanced.update({
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"search_source": result.get("source", "pypi"),
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"estimated_downloads": result.get("estimated_downloads"),
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})
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return enhanced
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except Exception as e:
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logger.warning(f"Failed to enhance package {result['name']}: {e}")
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return result
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def _extract_categories(self, info: Dict[str, Any]) -> List[str]:
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"""Extract categories from package metadata."""
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categories = set()
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# Check classifiers
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for classifier in info.get("classifiers", []):
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if "Topic ::" in classifier:
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topic = classifier.split("Topic ::")[-1].strip()
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categories.add(topic.lower())
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# Check keywords and description
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text = f"{info.get('keywords', '')} {info.get('summary', '')} {info.get('description', '')[:500]}".lower()
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for category, keywords in self.category_keywords.items():
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if any(keyword in text for keyword in keywords):
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categories.add(category)
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return list(categories)
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def _normalize_license(self, license_text: str) -> str:
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"""Normalize license text to standard types."""
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if not license_text:
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return "unknown"
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license_lower = license_text.lower()
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for license_type, aliases in self.license_aliases.items():
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if any(alias.lower() in license_lower for alias in aliases):
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return license_type
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return "other"
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def _extract_python_versions(self, classifiers: List[str]) -> List[str]:
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"""Extract supported Python versions from classifiers."""
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versions = []
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for classifier in classifiers:
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if "Programming Language :: Python ::" in classifier:
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version_part = classifier.split("::")[-1].strip()
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if re.match(r"^\d+\.\d+", version_part):
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versions.append(version_part)
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return sorted(versions, key=lambda v: pkg_version.parse(v) if v != "Implementation" else pkg_version.parse("0"))
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def _check_wheels(self, package_data: Dict[str, Any]) -> bool:
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"""Check if package has wheel distributions."""
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releases = package_data.get("releases", {})
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latest_version = package_data["info"]["version"]
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if latest_version in releases:
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for release in releases[latest_version]:
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if release.get("packagetype") == "bdist_wheel":
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return True
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return False
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def _calculate_quality_score(self, info: Dict[str, Any], package_data: Dict[str, Any]) -> float:
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"""Calculate a quality score for the package (0-100)."""
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score = 0.0
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# Documentation (25 points)
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if info.get("description") and len(info["description"]) > 100:
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score += 15
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if info.get("home_page"):
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|
|
score += 5
|
||
|
|
if info.get("project_urls"):
|
||
|
|
score += 5
|
||
|
|
|
||
|
|
# Metadata completeness (25 points)
|
||
|
|
if info.get("author"):
|
||
|
|
score += 5
|
||
|
|
if info.get("license"):
|
||
|
|
score += 5
|
||
|
|
if info.get("keywords"):
|
||
|
|
score += 5
|
||
|
|
if info.get("classifiers"):
|
||
|
|
score += 10
|
||
|
|
|
||
|
|
# Technical quality (25 points)
|
||
|
|
if self._check_wheels(package_data):
|
||
|
|
score += 10
|
||
|
|
if info.get("requires_python"):
|
||
|
|
score += 5
|
||
|
|
if len(info.get("classifiers", [])) >= 5:
|
||
|
|
score += 10
|
||
|
|
|
||
|
|
# Maintenance (25 points) - simplified scoring
|
||
|
|
if package_data.get("last_modified"):
|
||
|
|
score += 25 # Assume recent if we have the data
|
||
|
|
|
||
|
|
return min(score, 100.0)
|
||
|
|
|
||
|
|
def _assess_maintenance_status(self, package_data: Dict[str, Any]) -> str:
|
||
|
|
"""Assess maintenance status of the package."""
|
||
|
|
# Simplified assessment - in production, would analyze release patterns
|
||
|
|
version = package_data["info"]["version"]
|
||
|
|
|
||
|
|
try:
|
||
|
|
parsed_version = pkg_version.parse(version)
|
||
|
|
if parsed_version.is_prerelease:
|
||
|
|
return "development"
|
||
|
|
elif parsed_version.major >= 1:
|
||
|
|
return "maintained"
|
||
|
|
else:
|
||
|
|
return "early"
|
||
|
|
except:
|
||
|
|
return "unknown"
|
||
|
|
|
||
|
|
def _apply_filters(self, results: List[Dict[str, Any]], filters: SearchFilter) -> List[Dict[str, Any]]:
|
||
|
|
"""Apply search filters to results."""
|
||
|
|
filtered = []
|
||
|
|
|
||
|
|
for result in results:
|
||
|
|
if self._passes_filters(result, filters):
|
||
|
|
filtered.append(result)
|
||
|
|
|
||
|
|
return filtered
|
||
|
|
|
||
|
|
def _passes_filters(self, result: Dict[str, Any], filters: SearchFilter) -> bool:
|
||
|
|
"""Check if a result passes all filters."""
|
||
|
|
|
||
|
|
# Python version filter
|
||
|
|
if filters.python_versions:
|
||
|
|
package_versions = result.get("python_versions", [])
|
||
|
|
if not any(v in package_versions for v in filters.python_versions):
|
||
|
|
return False
|
||
|
|
|
||
|
|
# License filter
|
||
|
|
if filters.licenses:
|
||
|
|
license_type = result.get("license_type", "unknown")
|
||
|
|
if license_type not in filters.licenses:
|
||
|
|
return False
|
||
|
|
|
||
|
|
# Category filter
|
||
|
|
if filters.categories:
|
||
|
|
package_categories = result.get("categories", [])
|
||
|
|
if not any(cat in package_categories for cat in filters.categories):
|
||
|
|
return False
|
||
|
|
|
||
|
|
# Downloads filter
|
||
|
|
if filters.min_downloads:
|
||
|
|
downloads = result.get("estimated_downloads", 0)
|
||
|
|
if downloads < filters.min_downloads:
|
||
|
|
return False
|
||
|
|
|
||
|
|
# Maintenance status filter
|
||
|
|
if filters.maintenance_status:
|
||
|
|
status = result.get("maintenance_status", "unknown")
|
||
|
|
if status != filters.maintenance_status:
|
||
|
|
return False
|
||
|
|
|
||
|
|
# Wheels filter
|
||
|
|
if filters.has_wheels is not None:
|
||
|
|
has_wheels = result.get("has_wheels", False)
|
||
|
|
if has_wheels != filters.has_wheels:
|
||
|
|
return False
|
||
|
|
|
||
|
|
return True
|
||
|
|
|
||
|
|
def _apply_semantic_search(self, results: List[Dict[str, Any]], query: str) -> List[Dict[str, Any]]:
|
||
|
|
"""Apply semantic search scoring based on description similarity."""
|
||
|
|
query_words = set(query.lower().split())
|
||
|
|
|
||
|
|
for result in results:
|
||
|
|
description = f"{result.get('summary', '')} {result.get('description', '')[:500]}"
|
||
|
|
desc_words = set(description.lower().split())
|
||
|
|
|
||
|
|
# Simple similarity scoring
|
||
|
|
intersection = len(query_words & desc_words)
|
||
|
|
union = len(query_words | desc_words)
|
||
|
|
similarity = intersection / union if union > 0 else 0
|
||
|
|
|
||
|
|
result["semantic_score"] = similarity
|
||
|
|
|
||
|
|
return results
|
||
|
|
|
||
|
|
def _sort_results(self, results: List[Dict[str, Any]], sort: SearchSort) -> List[Dict[str, Any]]:
|
||
|
|
"""Sort search results by specified criteria."""
|
||
|
|
|
||
|
|
def sort_key(result):
|
||
|
|
if sort.field == SearchSort.POPULARITY:
|
||
|
|
return result.get("estimated_downloads", 0)
|
||
|
|
elif sort.field == SearchSort.QUALITY:
|
||
|
|
return result.get("quality_score", 0)
|
||
|
|
elif sort.field == SearchSort.NAME:
|
||
|
|
return result.get("name", "").lower()
|
||
|
|
elif sort.field == SearchSort.DOWNLOADS:
|
||
|
|
return result.get("estimated_downloads", 0)
|
||
|
|
elif sort.field == SearchSort.RELEVANCE:
|
||
|
|
return result.get("semantic_score", 0)
|
||
|
|
elif sort.field == SearchSort.RECENCY:
|
||
|
|
# Would need to parse last_modified for true recency
|
||
|
|
return result.get("version", "0")
|
||
|
|
else:
|
||
|
|
return 0
|
||
|
|
|
||
|
|
return sorted(results, key=sort_key, reverse=sort.reverse)
|
||
|
|
|
||
|
|
def _serialize_filters(self, filters: SearchFilter) -> Dict[str, Any]:
|
||
|
|
"""Serialize filters for response metadata."""
|
||
|
|
return {
|
||
|
|
"python_versions": filters.python_versions,
|
||
|
|
"licenses": filters.licenses,
|
||
|
|
"categories": filters.categories,
|
||
|
|
"min_downloads": filters.min_downloads,
|
||
|
|
"max_age_days": filters.max_age_days,
|
||
|
|
"maintenance_status": filters.maintenance_status,
|
||
|
|
"has_wheels": filters.has_wheels,
|
||
|
|
"min_python_version": filters.min_python_version,
|
||
|
|
"max_python_version": filters.max_python_version,
|
||
|
|
}
|
||
|
|
|
||
|
|
|