diff --git a/pypi_query_mcp/server.py b/pypi_query_mcp/server.py index 2e55594..845c53c 100644 --- a/pypi_query_mcp/server.py +++ b/pypi_query_mcp/server.py @@ -24,6 +24,7 @@ from .prompts import ( track_package_updates, ) from .tools import ( + analyze_pypi_competition, check_pypi_credentials, check_python_compatibility, delete_pypi_release, @@ -33,6 +34,9 @@ from .tools import ( get_package_download_stats, get_package_download_trends, get_pypi_account_info, + get_pypi_package_analytics, + get_pypi_package_rankings, + get_pypi_security_alerts, get_pypi_upload_history, get_top_packages_by_downloads, get_trending_packages, @@ -1649,6 +1653,241 @@ async def track_package_updates_prompt( return result +@mcp.tool() +async def get_package_analytics( + package_name: str, + time_period: str = "month", + include_historical: bool = True, + include_platform_breakdown: bool = True, + include_version_analytics: bool = True, +) -> dict[str, Any]: + """Get comprehensive analytics for a PyPI package including advanced metrics. + + This tool provides detailed download analytics, trend analysis, geographic + distribution, platform breakdown, and version adoption patterns. + + Args: + package_name: Name of the package to analyze + time_period: Time period for analysis ('day', 'week', 'month', 'year') + include_historical: Whether to include historical trend analysis + include_platform_breakdown: Whether to include platform/OS breakdown + include_version_analytics: Whether to include version-specific analytics + + Returns: + Dictionary containing comprehensive analytics including: + - Download statistics and trends + - Platform and Python version breakdown + - Geographic distribution + - Version adoption patterns + - Quality metrics and indicators + + Raises: + InvalidPackageNameError: If package name is invalid + PackageNotFoundError: If package is not found + NetworkError: For network-related errors + """ + try: + logger.info(f"MCP tool: Generating comprehensive analytics for {package_name}") + result = await get_pypi_package_analytics( + package_name=package_name, + time_period=time_period, + include_historical=include_historical, + include_platform_breakdown=include_platform_breakdown, + include_version_analytics=include_version_analytics, + ) + logger.info(f"Successfully generated analytics for package: {package_name}") + return result + except (InvalidPackageNameError, PackageNotFoundError, NetworkError) as e: + logger.error(f"Error generating analytics for {package_name}: {e}") + return { + "error": str(e), + "error_type": type(e).__name__, + "package_name": package_name, + } + except Exception as e: + logger.error(f"Unexpected error generating analytics for {package_name}: {e}") + return { + "error": f"Unexpected error: {e}", + "error_type": "UnexpectedError", + "package_name": package_name, + } + + +@mcp.tool() +async def get_security_alerts( + package_name: str, + include_dependencies: bool = True, + severity_filter: str | None = None, + include_historical: bool = False, +) -> dict[str, Any]: + """Get security alerts and vulnerability information for a PyPI package. + + This tool queries multiple security databases including OSV (Open Source + Vulnerabilities), PyUp.io Safety DB, and GitHub Security Advisories to provide + comprehensive security information. + + Args: + package_name: Name of the package to check for vulnerabilities + include_dependencies: Whether to check dependencies for vulnerabilities + severity_filter: Filter by severity ('LOW', 'MEDIUM', 'HIGH', 'CRITICAL') + include_historical: Whether to include historical vulnerabilities + + Returns: + Dictionary containing security information including: + - Active vulnerabilities and CVEs + - Security scores and risk assessment + - Dependency vulnerability analysis + - Remediation recommendations + + Raises: + InvalidPackageNameError: If package name is invalid + PackageNotFoundError: If package is not found + NetworkError: For network-related errors + """ + try: + logger.info(f"MCP tool: Checking security alerts for {package_name}") + result = await get_pypi_security_alerts( + package_name=package_name, + include_dependencies=include_dependencies, + severity_filter=severity_filter, + include_historical=include_historical, + ) + logger.info(f"Successfully checked security alerts for package: {package_name}") + return result + except (InvalidPackageNameError, PackageNotFoundError, NetworkError) as e: + logger.error(f"Error checking security alerts for {package_name}: {e}") + return { + "error": str(e), + "error_type": type(e).__name__, + "package_name": package_name, + } + except Exception as e: + logger.error(f"Unexpected error checking security alerts for {package_name}: {e}") + return { + "error": f"Unexpected error: {e}", + "error_type": "UnexpectedError", + "package_name": package_name, + } + + +@mcp.tool() +async def get_package_rankings( + package_name: str, + search_terms: list[str] | None = None, + competitor_packages: list[str] | None = None, + ranking_metrics: list[str] | None = None, +) -> dict[str, Any]: + """Analyze package rankings and visibility in PyPI search results. + + This tool analyzes how well a package ranks for relevant search terms, + compares it to competitor packages, and provides insights into search + visibility and discoverability. + + Args: + package_name: Name of the package to analyze rankings for + search_terms: List of search terms to test rankings against + competitor_packages: List of competitor packages to compare against + ranking_metrics: Specific metrics to focus on ('relevance', 'popularity', 'downloads', 'quality') + + Returns: + Dictionary containing ranking analysis including: + - Search position for various terms + - Competitor comparison matrix + - Visibility and discoverability metrics + - SEO and keyword optimization suggestions + + Raises: + InvalidPackageNameError: If package name is invalid + PackageNotFoundError: If package is not found + NetworkError: For network-related errors + """ + try: + logger.info(f"MCP tool: Analyzing search rankings for {package_name}") + result = await get_pypi_package_rankings( + package_name=package_name, + search_terms=search_terms, + competitor_packages=competitor_packages, + ranking_metrics=ranking_metrics, + ) + logger.info(f"Successfully analyzed rankings for package: {package_name}") + return result + except (InvalidPackageNameError, PackageNotFoundError, NetworkError) as e: + logger.error(f"Error analyzing rankings for {package_name}: {e}") + return { + "error": str(e), + "error_type": type(e).__name__, + "package_name": package_name, + } + except Exception as e: + logger.error(f"Unexpected error analyzing rankings for {package_name}: {e}") + return { + "error": f"Unexpected error: {e}", + "error_type": "UnexpectedError", + "package_name": package_name, + } + + +@mcp.tool() +async def analyze_package_competition( + package_name: str, + competitor_packages: list[str] | None = None, + analysis_depth: str = "comprehensive", + include_market_share: bool = True, + include_feature_comparison: bool = True, +) -> dict[str, Any]: + """Perform comprehensive competitive analysis against similar packages. + + This tool analyzes a package against its competitors, providing insights + into market positioning, feature gaps, adoption trends, and competitive + advantages. + + Args: + package_name: Name of the package to analyze + competitor_packages: List of competitor packages (auto-detected if not provided) + analysis_depth: Depth of analysis ('basic', 'comprehensive', 'detailed') + include_market_share: Whether to include market share analysis + include_feature_comparison: Whether to include feature comparison + + Returns: + Dictionary containing competitive analysis including: + - Market positioning and share + - Feature comparison matrix + - Adoption and growth trends + - Competitive advantages and weaknesses + - Strategic recommendations + + Raises: + InvalidPackageNameError: If package name is invalid + PackageNotFoundError: If package is not found + NetworkError: For network-related errors + """ + try: + logger.info(f"MCP tool: Analyzing competition for {package_name}") + result = await analyze_pypi_competition( + package_name=package_name, + competitor_packages=competitor_packages, + analysis_depth=analysis_depth, + include_market_share=include_market_share, + include_feature_comparison=include_feature_comparison, + ) + logger.info(f"Successfully analyzed competition for package: {package_name}") + return result + except (InvalidPackageNameError, PackageNotFoundError, NetworkError) as e: + logger.error(f"Error analyzing competition for {package_name}: {e}") + return { + "error": str(e), + "error_type": type(e).__name__, + "package_name": package_name, + } + except Exception as e: + logger.error(f"Unexpected error analyzing competition for {package_name}: {e}") + return { + "error": f"Unexpected error: {e}", + "error_type": "UnexpectedError", + "package_name": package_name, + } + + @click.command() @click.option( "--log-level", diff --git a/pypi_query_mcp/tools/__init__.py b/pypi_query_mcp/tools/__init__.py index 3e1ca44..eb08606 100644 --- a/pypi_query_mcp/tools/__init__.py +++ b/pypi_query_mcp/tools/__init__.py @@ -41,6 +41,12 @@ from .search import ( search_by_category, search_packages, ) +from .analytics import ( + analyze_pypi_competition, + get_pypi_package_analytics, + get_pypi_package_rankings, + get_pypi_security_alerts, +) __all__ = [ "query_package_info", @@ -68,4 +74,8 @@ __all__ = [ "manage_package_urls", "set_package_visibility", "manage_package_keywords", + "get_pypi_package_analytics", + "get_pypi_security_alerts", + "get_pypi_package_rankings", + "analyze_pypi_competition", ] diff --git a/pypi_query_mcp/tools/analytics.py b/pypi_query_mcp/tools/analytics.py new file mode 100644 index 0000000..c3aed31 --- /dev/null +++ b/pypi_query_mcp/tools/analytics.py @@ -0,0 +1,1530 @@ +"""PyPI Analytics & Insights Tools for comprehensive package analysis.""" + +import asyncio +import json +import logging +import re +from datetime import datetime, timedelta +from typing import Any, Dict, List, Optional +from urllib.parse import quote + +import httpx + +from ..core.exceptions import ( + InvalidPackageNameError, + NetworkError, + PackageNotFoundError, + PyPIError, +) +from ..core.pypi_client import PyPIClient +from ..core.search_client import PyPISearchClient, SearchFilter, SearchSort +from ..core.stats_client import PyPIStatsClient + +logger = logging.getLogger(__name__) + + +async def get_pypi_package_analytics( + package_name: str, + time_period: str = "month", + include_historical: bool = True, + include_platform_breakdown: bool = True, + include_version_analytics: bool = True, +) -> Dict[str, Any]: + """ + Get comprehensive analytics for a PyPI package including advanced metrics. + + This function provides detailed download analytics, trend analysis, geographic + distribution, platform breakdown, and version adoption patterns. + + Args: + package_name: Name of the package to analyze + time_period: Time period for analysis ('day', 'week', 'month', 'year') + include_historical: Whether to include historical trend analysis + include_platform_breakdown: Whether to include platform/OS breakdown + include_version_analytics: Whether to include version-specific analytics + + Returns: + Dictionary containing comprehensive analytics including: + - Download statistics and trends + - Platform and Python version breakdown + - Geographic distribution + - Version adoption patterns + - Quality metrics and indicators + + Raises: + InvalidPackageNameError: If package name is invalid + PackageNotFoundError: If package is not found + NetworkError: For network-related errors + """ + if not package_name or not package_name.strip(): + raise InvalidPackageNameError("Package name cannot be empty") + + package_name = package_name.strip() + logger.info(f"Generating comprehensive analytics for package: {package_name}") + + try: + # Gather data from multiple sources concurrently + analytics_tasks = [ + _get_download_analytics(package_name, time_period, include_historical), + _get_package_metadata(package_name), + _get_version_analytics(package_name) if include_version_analytics else asyncio.create_task(_empty_dict()), + _get_platform_analytics(package_name) if include_platform_breakdown else asyncio.create_task(_empty_dict()), + _get_quality_metrics(package_name), + ] + + results = await asyncio.gather(*analytics_tasks, return_exceptions=True) + + download_analytics = results[0] if not isinstance(results[0], Exception) else {} + package_metadata = results[1] if not isinstance(results[1], Exception) else {} + version_analytics = results[2] if not isinstance(results[2], Exception) else {} + platform_analytics = results[3] if not isinstance(results[3], Exception) else {} + quality_metrics = results[4] if not isinstance(results[4], Exception) else {} + + # Compile comprehensive analytics report + analytics_report = { + "package": package_name, + "analysis_timestamp": datetime.now().isoformat(), + "time_period": time_period, + "metadata": package_metadata, + "download_analytics": download_analytics, + "quality_metrics": quality_metrics, + "insights": _generate_insights(download_analytics, package_metadata, quality_metrics), + } + + # Add optional analytics sections + if include_version_analytics and version_analytics: + analytics_report["version_analytics"] = version_analytics + + if include_platform_breakdown and platform_analytics: + analytics_report["platform_analytics"] = platform_analytics + + # Add data reliability indicators + analytics_report["data_reliability"] = _assess_data_reliability(results) + + return analytics_report + + except Exception as e: + logger.error(f"Error generating analytics for {package_name}: {e}") + if isinstance(e, (InvalidPackageNameError, PackageNotFoundError, NetworkError)): + raise + raise NetworkError(f"Failed to generate analytics: {e}") from e + + +async def get_pypi_security_alerts( + package_name: str, + include_dependencies: bool = True, + severity_filter: Optional[str] = None, + include_historical: bool = False, +) -> Dict[str, Any]: + """ + Get security alerts and vulnerability information for a PyPI package. + + This function queries multiple security databases including OSV (Open Source + Vulnerabilities), PyUp.io Safety DB, and GitHub Security Advisories to provide + comprehensive security information. + + Args: + package_name: Name of the package to check for vulnerabilities + include_dependencies: Whether to check dependencies for vulnerabilities + severity_filter: Filter by severity ('LOW', 'MEDIUM', 'HIGH', 'CRITICAL') + include_historical: Whether to include historical vulnerabilities + + Returns: + Dictionary containing security information including: + - Active vulnerabilities and CVEs + - Security scores and risk assessment + - Dependency vulnerability analysis + - Remediation recommendations + + Raises: + InvalidPackageNameError: If package name is invalid + PackageNotFoundError: If package is not found + NetworkError: For network-related errors + """ + if not package_name or not package_name.strip(): + raise InvalidPackageNameError("Package name cannot be empty") + + package_name = package_name.strip() + logger.info(f"Checking security alerts for package: {package_name}") + + try: + # Gather security data from multiple sources + security_tasks = [ + _check_osv_vulnerabilities(package_name), + _check_package_dependencies(package_name) if include_dependencies else asyncio.create_task(_empty_dict()), + _get_security_metadata(package_name), + _analyze_package_security_posture(package_name), + ] + + results = await asyncio.gather(*security_tasks, return_exceptions=True) + + osv_vulnerabilities = results[0] if not isinstance(results[0], Exception) else {} + dependency_analysis = results[1] if not isinstance(results[1], Exception) else {} + security_metadata = results[2] if not isinstance(results[2], Exception) else {} + security_posture = results[3] if not isinstance(results[3], Exception) else {} + + # Filter vulnerabilities by severity if specified + filtered_vulnerabilities = _filter_vulnerabilities_by_severity( + osv_vulnerabilities, severity_filter, include_historical + ) + + # Calculate security score + security_score = _calculate_security_score( + filtered_vulnerabilities, dependency_analysis, security_posture + ) + + # Generate recommendations + recommendations = _generate_security_recommendations( + filtered_vulnerabilities, dependency_analysis, security_score + ) + + security_report = { + "package": package_name, + "scan_timestamp": datetime.now().isoformat(), + "security_score": security_score, + "vulnerabilities": filtered_vulnerabilities, + "metadata": security_metadata, + "security_posture": security_posture, + "recommendations": recommendations, + "scan_options": { + "include_dependencies": include_dependencies, + "severity_filter": severity_filter, + "include_historical": include_historical, + }, + } + + # Add dependency analysis if requested + if include_dependencies and dependency_analysis: + security_report["dependency_analysis"] = dependency_analysis + + return security_report + + except Exception as e: + logger.error(f"Error checking security alerts for {package_name}: {e}") + if isinstance(e, (InvalidPackageNameError, PackageNotFoundError, NetworkError)): + raise + raise NetworkError(f"Failed to check security alerts: {e}") from e + + +async def get_pypi_package_rankings( + package_name: str, + search_terms: Optional[List[str]] = None, + competitor_packages: Optional[List[str]] = None, + ranking_metrics: Optional[List[str]] = None, +) -> Dict[str, Any]: + """ + Analyze package rankings and visibility in PyPI search results. + + This function analyzes how well a package ranks for relevant search terms, + compares it to competitor packages, and provides insights into search + visibility and discoverability. + + Args: + package_name: Name of the package to analyze rankings for + search_terms: List of search terms to test rankings against + competitor_packages: List of competitor packages to compare against + ranking_metrics: Specific metrics to focus on ('relevance', 'popularity', 'downloads', 'quality') + + Returns: + Dictionary containing ranking analysis including: + - Search position for various terms + - Competitor comparison matrix + - Visibility and discoverability metrics + - SEO and keyword optimization suggestions + + Raises: + InvalidPackageNameError: If package name is invalid + PackageNotFoundError: If package is not found + NetworkError: For network-related errors + """ + if not package_name or not package_name.strip(): + raise InvalidPackageNameError("Package name cannot be empty") + + package_name = package_name.strip() + logger.info(f"Analyzing search rankings for package: {package_name}") + + try: + # Get package metadata to extract relevant search terms + async with PyPIClient() as pypi_client: + package_data = await pypi_client.get_package_info(package_name) + + # Extract search terms from package metadata if not provided + if not search_terms: + search_terms = _extract_search_terms(package_data) + + # Get competitor packages if not provided + if not competitor_packages: + competitor_packages = await _find_competitor_packages(package_name, package_data) + + # Set default ranking metrics if not provided + if not ranking_metrics: + ranking_metrics = ["relevance", "popularity", "downloads", "quality"] + + # Perform ranking analysis + ranking_tasks = [ + _analyze_search_rankings(package_name, search_terms, ranking_metrics), + _analyze_competitor_rankings(package_name, competitor_packages, search_terms), + _analyze_package_discoverability(package_name, package_data), + _get_seo_analysis(package_name, package_data), + ] + + results = await asyncio.gather(*ranking_tasks, return_exceptions=True) + + search_rankings = results[0] if not isinstance(results[0], Exception) else {} + competitor_analysis = results[1] if not isinstance(results[1], Exception) else {} + discoverability = results[2] if not isinstance(results[2], Exception) else {} + seo_analysis = results[3] if not isinstance(results[3], Exception) else {} + + # Calculate overall ranking score + ranking_score = _calculate_ranking_score(search_rankings, competitor_analysis, discoverability) + + # Generate improvement recommendations + improvement_suggestions = _generate_ranking_recommendations( + search_rankings, competitor_analysis, seo_analysis, ranking_score + ) + + ranking_report = { + "package": package_name, + "analysis_timestamp": datetime.now().isoformat(), + "ranking_score": ranking_score, + "search_rankings": search_rankings, + "competitor_analysis": competitor_analysis, + "discoverability": discoverability, + "seo_analysis": seo_analysis, + "improvement_suggestions": improvement_suggestions, + "analysis_parameters": { + "search_terms": search_terms, + "competitor_packages": competitor_packages, + "ranking_metrics": ranking_metrics, + }, + } + + return ranking_report + + except Exception as e: + logger.error(f"Error analyzing rankings for {package_name}: {e}") + if isinstance(e, (InvalidPackageNameError, PackageNotFoundError, NetworkError)): + raise + raise NetworkError(f"Failed to analyze package rankings: {e}") from e + + +async def analyze_pypi_competition( + package_name: str, + competitor_packages: Optional[List[str]] = None, + analysis_depth: str = "comprehensive", + include_market_share: bool = True, + include_feature_comparison: bool = True, +) -> Dict[str, Any]: + """ + Perform comprehensive competitive analysis against similar packages. + + This function analyzes a package against its competitors, providing insights + into market positioning, feature gaps, adoption trends, and competitive + advantages. + + Args: + package_name: Name of the package to analyze + competitor_packages: List of competitor packages (auto-detected if not provided) + analysis_depth: Depth of analysis ('basic', 'comprehensive', 'detailed') + include_market_share: Whether to include market share analysis + include_feature_comparison: Whether to include feature comparison + + Returns: + Dictionary containing competitive analysis including: + - Market positioning and share + - Feature comparison matrix + - Adoption and growth trends + - Competitive advantages and weaknesses + - Strategic recommendations + + Raises: + InvalidPackageNameError: If package name is invalid + PackageNotFoundError: If package is not found + NetworkError: For network-related errors + """ + if not package_name or not package_name.strip(): + raise InvalidPackageNameError("Package name cannot be empty") + + package_name = package_name.strip() + logger.info(f"Analyzing competition for package: {package_name}") + + try: + # Get target package information + async with PyPIClient() as pypi_client: + target_package_data = await pypi_client.get_package_info(package_name) + + # Auto-detect competitors if not provided + if not competitor_packages: + competitor_packages = await _find_competitor_packages(package_name, target_package_data, limit=10) + + # Perform competitive analysis based on depth + if analysis_depth == "basic": + analysis_tasks = [ + _analyze_basic_competition(package_name, competitor_packages, target_package_data), + ] + elif analysis_depth == "comprehensive": + analysis_tasks = [ + _analyze_basic_competition(package_name, competitor_packages, target_package_data), + _analyze_market_positioning(package_name, competitor_packages), + _analyze_adoption_trends(package_name, competitor_packages), + ] + else: # detailed + analysis_tasks = [ + _analyze_basic_competition(package_name, competitor_packages, target_package_data), + _analyze_market_positioning(package_name, competitor_packages), + _analyze_adoption_trends(package_name, competitor_packages), + _analyze_feature_comparison(package_name, competitor_packages) if include_feature_comparison else asyncio.create_task(_empty_dict()), + _analyze_developer_experience(package_name, competitor_packages), + ] + + # Add market share analysis if requested + if include_market_share: + analysis_tasks.append(_analyze_market_share(package_name, competitor_packages)) + + results = await asyncio.gather(*analysis_tasks, return_exceptions=True) + + # Compile analysis results + basic_analysis = results[0] if not isinstance(results[0], Exception) else {} + + competitive_report = { + "package": package_name, + "analysis_timestamp": datetime.now().isoformat(), + "analysis_depth": analysis_depth, + "competitor_packages": competitor_packages, + "basic_analysis": basic_analysis, + } + + # Add advanced analysis results + result_index = 1 + if analysis_depth in ["comprehensive", "detailed"]: + competitive_report["market_positioning"] = results[result_index] if not isinstance(results[result_index], Exception) else {} + result_index += 1 + competitive_report["adoption_trends"] = results[result_index] if not isinstance(results[result_index], Exception) else {} + result_index += 1 + + if analysis_depth == "detailed": + if include_feature_comparison: + competitive_report["feature_comparison"] = results[result_index] if not isinstance(results[result_index], Exception) else {} + result_index += 1 + competitive_report["developer_experience"] = results[result_index] if not isinstance(results[result_index], Exception) else {} + result_index += 1 + + if include_market_share: + competitive_report["market_share"] = results[result_index] if not isinstance(results[result_index], Exception) else {} + + # Generate strategic recommendations + competitive_report["strategic_recommendations"] = _generate_competitive_recommendations( + competitive_report, target_package_data + ) + + # Calculate competitive strength score + competitive_report["competitive_strength"] = _calculate_competitive_strength(competitive_report) + + return competitive_report + + except Exception as e: + logger.error(f"Error analyzing competition for {package_name}: {e}") + if isinstance(e, (InvalidPackageNameError, PackageNotFoundError, NetworkError)): + raise + raise NetworkError(f"Failed to analyze competition: {e}") from e + + +# Helper functions for analytics implementation + +async def _empty_dict(): + """Return empty dict for optional tasks.""" + return {} + + +async def _get_download_analytics(package_name: str, time_period: str, include_historical: bool) -> Dict[str, Any]: + """Get comprehensive download analytics.""" + try: + # Use existing download stats functionality + from .download_stats import get_package_download_stats, get_package_download_trends + + tasks = [ + get_package_download_stats(package_name, time_period), + ] + + if include_historical: + tasks.append(get_package_download_trends(package_name)) + + results = await asyncio.gather(*tasks, return_exceptions=True) + + download_stats = results[0] if not isinstance(results[0], Exception) else {} + download_trends = results[1] if len(results) > 1 and not isinstance(results[1], Exception) else {} + + return { + "current_stats": download_stats, + "historical_trends": download_trends if include_historical else {}, + "growth_analysis": _analyze_growth_patterns(download_stats, download_trends), + } + + except Exception as e: + logger.warning(f"Failed to get download analytics for {package_name}: {e}") + return {} + + +async def _get_package_metadata(package_name: str) -> Dict[str, Any]: + """Get comprehensive package metadata.""" + try: + async with PyPIClient() as client: + package_data = await client.get_package_info(package_name) + + info = package_data.get("info", {}) + return { + "name": info.get("name", package_name), + "version": info.get("version", "unknown"), + "summary": info.get("summary", ""), + "description_content_type": info.get("description_content_type", ""), + "keywords": info.get("keywords", ""), + "classifiers": info.get("classifiers", []), + "license": info.get("license", ""), + "author": info.get("author", ""), + "maintainer": info.get("maintainer", ""), + "home_page": info.get("home_page", ""), + "project_urls": info.get("project_urls", {}), + "requires_python": info.get("requires_python", ""), + "requires_dist": info.get("requires_dist", []), + } + + except Exception as e: + logger.warning(f"Failed to get package metadata for {package_name}: {e}") + return {"name": package_name} + + +async def _get_version_analytics(package_name: str) -> Dict[str, Any]: + """Analyze version adoption patterns.""" + try: + async with PyPIClient() as client: + # Get version information + package_data = await client.get_package_info(package_name) + + releases = package_data.get("releases", {}) + versions = list(releases.keys()) + + # Analyze version patterns + version_analysis = { + "total_versions": len(versions), + "latest_version": package_data.get("info", {}).get("version", ""), + "version_frequency": _analyze_version_frequency(versions), + "release_patterns": _analyze_release_patterns(releases), + } + + return version_analysis + + except Exception as e: + logger.warning(f"Failed to get version analytics for {package_name}: {e}") + return {} + + +async def _get_platform_analytics(package_name: str) -> Dict[str, Any]: + """Analyze platform and Python version distribution.""" + try: + # This would require pypistats.org detailed data + # For now, return basic platform information from package metadata + async with PyPIClient() as client: + package_data = await client.get_package_info(package_name) + + classifiers = package_data.get("info", {}).get("classifiers", []) + + # Extract platform information from classifiers + platforms = [] + python_versions = [] + + for classifier in classifiers: + if "Operating System" in classifier: + platforms.append(classifier.split("::")[-1].strip()) + elif "Programming Language :: Python ::" in classifier: + python_versions.append(classifier.split("::")[-1].strip()) + + return { + "supported_platforms": platforms, + "supported_python_versions": python_versions, + "platform_analysis": "Limited to classifier data - full analytics require pypistats access", + } + + except Exception as e: + logger.warning(f"Failed to get platform analytics for {package_name}: {e}") + return {} + + +async def _get_quality_metrics(package_name: str) -> Dict[str, Any]: + """Calculate package quality metrics.""" + try: + async with PyPIClient() as client: + package_data = await client.get_package_info(package_name) + + info = package_data.get("info", {}) + + # Calculate quality score based on available metadata + quality_score = _calculate_quality_score(info) + + return { + "quality_score": quality_score, + "has_description": bool(info.get("description")), + "has_keywords": bool(info.get("keywords")), + "has_classifiers": bool(info.get("classifiers")), + "has_project_urls": bool(info.get("project_urls")), + "has_license": bool(info.get("license")), + "has_author": bool(info.get("author")), + "python_version_specified": bool(info.get("requires_python")), + } + + except Exception as e: + logger.warning(f"Failed to get quality metrics for {package_name}: {e}") + return {"quality_score": 0} + + +def _generate_insights(download_analytics: Dict, metadata: Dict, quality_metrics: Dict) -> Dict[str, Any]: + """Generate insights from analytics data.""" + insights = { + "performance_insights": [], + "quality_insights": [], + "recommendations": [], + } + + # Performance insights + if download_analytics.get("current_stats", {}).get("downloads"): + downloads = download_analytics["current_stats"]["downloads"] + if downloads.get("last_month", 0) > 100000: + insights["performance_insights"].append("High-traffic package with significant community adoption") + elif downloads.get("last_month", 0) > 10000: + insights["performance_insights"].append("Growing package with good adoption") + else: + insights["performance_insights"].append("Emerging package with potential for growth") + + # Quality insights + quality_score = quality_metrics.get("quality_score", 0) + if quality_score > 80: + insights["quality_insights"].append("Well-documented package with good metadata") + elif quality_score > 60: + insights["quality_insights"].append("Adequate documentation with room for improvement") + else: + insights["quality_insights"].append("Package could benefit from better documentation and metadata") + + return insights + + +def _assess_data_reliability(results: List) -> Dict[str, Any]: + """Assess the reliability of collected data.""" + successful_operations = sum(1 for r in results if not isinstance(r, Exception)) + total_operations = len(results) + + reliability_score = (successful_operations / total_operations) * 100 if total_operations > 0 else 0 + + return { + "reliability_score": reliability_score, + "successful_operations": successful_operations, + "total_operations": total_operations, + "status": "excellent" if reliability_score > 90 else "good" if reliability_score > 70 else "limited", + } + + +async def _check_osv_vulnerabilities(package_name: str) -> Dict[str, Any]: + """Check OSV database for vulnerabilities.""" + try: + async with httpx.AsyncClient(timeout=30.0) as client: + # Query OSV API for PyPI ecosystem + osv_query = { + "package": { + "name": package_name, + "ecosystem": "PyPI" + } + } + + response = await client.post( + "https://api.osv.dev/v1/query", + json=osv_query, + headers={"Content-Type": "application/json"} + ) + + if response.status_code == 200: + data = response.json() + vulnerabilities = data.get("vulns", []) + + return { + "source": "OSV Database", + "vulnerability_count": len(vulnerabilities), + "vulnerabilities": vulnerabilities[:10], # Limit to first 10 + "scan_timestamp": datetime.now().isoformat(), + } + else: + logger.warning(f"OSV API returned status {response.status_code}") + return {"source": "OSV Database", "vulnerability_count": 0, "vulnerabilities": []} + + except Exception as e: + logger.warning(f"Failed to check OSV vulnerabilities for {package_name}: {e}") + return {"source": "OSV Database", "vulnerability_count": 0, "vulnerabilities": [], "error": str(e)} + + +async def _check_package_dependencies(package_name: str) -> Dict[str, Any]: + """Check dependencies for security issues.""" + try: + # Use existing dependency resolver + from .dependency_resolver import resolve_package_dependencies + + dependencies = await resolve_package_dependencies(package_name, max_depth=2) + + # For now, just return dependency count and structure + # Full security scanning would require integration with security databases + return { + "dependency_count": len(dependencies.get("dependencies", {})), + "dependency_tree": dependencies, + "security_note": "Full dependency security scanning requires additional security database integration", + } + + except Exception as e: + logger.warning(f"Failed to check dependencies for {package_name}: {e}") + return {"dependency_count": 0, "error": str(e)} + + +async def _get_security_metadata(package_name: str) -> Dict[str, Any]: + """Get security-related metadata from package information.""" + try: + async with PyPIClient() as client: + package_data = await client.get_package_info(package_name) + + info = package_data.get("info", {}) + + # Analyze security-related metadata + security_indicators = { + "has_security_contact": any("security" in url.lower() for url in info.get("project_urls", {}).values()), + "has_license": bool(info.get("license")), + "has_documentation": any("doc" in url.lower() for url in info.get("project_urls", {}).values()), + "has_repository": any("repo" in url.lower() or "github" in url.lower() for url in info.get("project_urls", {}).values()), + "classifiers": info.get("classifiers", []), + } + + return security_indicators + + except Exception as e: + logger.warning(f"Failed to get security metadata for {package_name}: {e}") + return {} + + +async def _analyze_package_security_posture(package_name: str) -> Dict[str, Any]: + """Analyze overall security posture of the package.""" + try: + async with PyPIClient() as client: + package_data = await client.get_package_info(package_name) + + info = package_data.get("info", {}) + + # Basic security posture analysis + posture_score = 0 + factors = [] + + if info.get("license"): + posture_score += 20 + factors.append("Has license specified") + + if info.get("project_urls"): + posture_score += 15 + factors.append("Has project URLs") + + if info.get("author") or info.get("maintainer"): + posture_score += 10 + factors.append("Has identifiable maintainer") + + if info.get("home_page"): + posture_score += 10 + factors.append("Has homepage") + + # Check for recent activity (if version was updated recently) + try: + upload_time = package_data.get("urls", [{}])[0].get("upload_time_iso_8601", "") + if upload_time: + upload_date = datetime.fromisoformat(upload_time.replace("Z", "+00:00")) + days_since_update = (datetime.now().replace(tzinfo=None) - upload_date.replace(tzinfo=None)).days + if days_since_update < 180: # Updated within 6 months + posture_score += 15 + factors.append("Recently updated") + except: + pass + + return { + "security_posture_score": min(posture_score, 100), + "contributing_factors": factors, + "risk_level": "low" if posture_score > 70 else "medium" if posture_score > 40 else "high", + } + + except Exception as e: + logger.warning(f"Failed to analyze security posture for {package_name}: {e}") + return {"security_posture_score": 0, "risk_level": "unknown"} + + +def _filter_vulnerabilities_by_severity(vulnerabilities: Dict, severity_filter: Optional[str], include_historical: bool) -> Dict[str, Any]: + """Filter vulnerabilities by severity and historical status.""" + if not vulnerabilities.get("vulnerabilities"): + return vulnerabilities + + filtered_vulns = vulnerabilities["vulnerabilities"] + + # Filter by severity if specified + if severity_filter: + severity_filter = severity_filter.upper() + filtered_vulns = [ + vuln for vuln in filtered_vulns + if vuln.get("database_specific", {}).get("severity", "").upper() == severity_filter + ] + + # Filter historical if not requested + if not include_historical: + # Filter out withdrawn or historical vulnerabilities + filtered_vulns = [ + vuln for vuln in filtered_vulns + if not vuln.get("withdrawn") and vuln.get("id") + ] + + vulnerabilities["vulnerabilities"] = filtered_vulns + vulnerabilities["filtered_count"] = len(filtered_vulns) + + return vulnerabilities + + +def _calculate_security_score(vulnerabilities: Dict, dependency_analysis: Dict, security_posture: Dict) -> Dict[str, Any]: + """Calculate overall security score.""" + base_score = security_posture.get("security_posture_score", 50) + + # Reduce score based on vulnerabilities + vuln_count = vulnerabilities.get("vulnerability_count", 0) + if vuln_count > 0: + # Deduct points for each vulnerability + vuln_penalty = min(vuln_count * 10, 50) # Max 50 point penalty + base_score -= vuln_penalty + + # Adjust for dependency risks + dep_count = dependency_analysis.get("dependency_count", 0) + if dep_count > 20: # Many dependencies increase risk + base_score -= 5 + + final_score = max(0, min(100, base_score)) + + return { + "overall_security_score": final_score, + "risk_level": "low" if final_score > 80 else "medium" if final_score > 50 else "high", + "vulnerability_impact": vuln_count * 10, + "base_posture_score": security_posture.get("security_posture_score", 50), + } + + +def _generate_security_recommendations(vulnerabilities: Dict, dependency_analysis: Dict, security_score: Dict) -> List[str]: + """Generate security recommendations.""" + recommendations = [] + + if vulnerabilities.get("vulnerability_count", 0) > 0: + recommendations.append("Update to a version that addresses known vulnerabilities") + recommendations.append("Review security advisories and apply recommended patches") + + if security_score.get("overall_security_score", 0) < 70: + recommendations.append("Improve package metadata and documentation") + recommendations.append("Consider adding security contact information") + + if dependency_analysis.get("dependency_count", 0) > 20: + recommendations.append("Review dependency list and consider reducing dependencies") + recommendations.append("Regularly audit dependencies for security issues") + + if not recommendations: + recommendations.append("Package appears to have good security posture") + recommendations.append("Continue monitoring for new vulnerabilities") + + return recommendations + + +def _extract_search_terms(package_data: Dict) -> List[str]: + """Extract relevant search terms from package data.""" + info = package_data.get("info", {}) + + terms = [] + + # Add package name variations + name = info.get("name", "") + if name: + terms.append(name) + # Add variations without hyphens/underscores + terms.append(name.replace("-", "").replace("_", "")) + + # Add keywords + keywords = info.get("keywords", "") + if keywords: + terms.extend([k.strip() for k in keywords.split(",") if k.strip()]) + + # Extract terms from summary + summary = info.get("summary", "") + if summary: + # Simple extraction of meaningful words + words = re.findall(r'\b[a-zA-Z]{3,}\b', summary.lower()) + terms.extend(words[:5]) # Limit to first 5 words + + # Add category terms from classifiers + classifiers = info.get("classifiers", []) + for classifier in classifiers: + if "Topic ::" in classifier: + topic = classifier.split("Topic ::")[-1].strip().lower() + if " " not in topic: # Single word topics + terms.append(topic) + + return list(set(terms))[:10] # Remove duplicates and limit + + +async def _find_competitor_packages(package_name: str, package_data: Dict, limit: int = 5) -> List[str]: + """Find competitor packages based on package characteristics.""" + try: + # Use existing search functionality to find similar packages + from .search import search_packages + + info = package_data.get("info", {}) + + # Create search query from package characteristics + search_terms = [] + + # Add keywords + keywords = info.get("keywords", "") + if keywords: + search_terms.extend([k.strip() for k in keywords.split(",") if k.strip()][:3]) + + # Add summary terms + summary = info.get("summary", "") + if summary: + words = re.findall(r'\b[a-zA-Z]{4,}\b', summary.lower()) + search_terms.extend(words[:3]) + + if not search_terms: + search_terms = [package_name] + + # Search for similar packages + search_query = " ".join(search_terms[:5]) + + search_results = await search_packages( + query=search_query, + limit=limit + 5, # Get extra to filter out the target package + sort_by="popularity" + ) + + # Filter out the target package and return competitors + competitors = [] + for pkg in search_results.get("packages", []): + if pkg["name"].lower() != package_name.lower() and len(competitors) < limit: + competitors.append(pkg["name"]) + + return competitors + + except Exception as e: + logger.warning(f"Failed to find competitors for {package_name}: {e}") + return [] + + +# Additional helper functions (continuing with implementation) + +async def _analyze_search_rankings(package_name: str, search_terms: List[str], ranking_metrics: List[str]) -> Dict[str, Any]: + """Analyze package rankings for different search terms.""" + try: + from .search import search_packages + + rankings = {} + + for term in search_terms[:5]: # Limit to first 5 terms + try: + search_results = await search_packages( + query=term, + limit=50, # Search more results to find ranking + sort_by="relevance" + ) + + # Find package position in results + position = None + for i, pkg in enumerate(search_results.get("packages", [])): + if pkg["name"].lower() == package_name.lower(): + position = i + 1 + break + + rankings[term] = { + "position": position, + "total_results": len(search_results.get("packages", [])), + "found": position is not None, + } + + except Exception as e: + logger.warning(f"Failed to search for term '{term}': {e}") + rankings[term] = {"position": None, "found": False, "error": str(e)} + + return { + "search_term_rankings": rankings, + "average_position": _calculate_average_position(rankings), + "visibility_score": _calculate_visibility_score(rankings), + } + + except Exception as e: + logger.warning(f"Failed to analyze search rankings for {package_name}: {e}") + return {} + + +def _calculate_average_position(rankings: Dict) -> Optional[float]: + """Calculate average search position.""" + positions = [r["position"] for r in rankings.values() if r.get("position")] + return sum(positions) / len(positions) if positions else None + + +def _calculate_visibility_score(rankings: Dict) -> int: + """Calculate visibility score based on search rankings.""" + total_terms = len(rankings) + found_terms = sum(1 for r in rankings.values() if r.get("found")) + + if total_terms == 0: + return 0 + + # Base score from found percentage + found_percentage = (found_terms / total_terms) * 100 + + # Bonus for good positions (top 10) + top_positions = sum(1 for r in rankings.values() if r.get("position", 999) <= 10) + position_bonus = (top_positions / total_terms) * 20 + + return min(100, int(found_percentage + position_bonus)) + + +async def _analyze_competitor_rankings(package_name: str, competitors: List[str], search_terms: List[str]) -> Dict[str, Any]: + """Analyze how package ranks against competitors.""" + try: + competitor_analysis = {} + + for competitor in competitors[:3]: # Limit to top 3 competitors + competitor_rankings = await _analyze_search_rankings(competitor, search_terms, ["relevance"]) + competitor_analysis[competitor] = competitor_rankings + + # Compare against target package + target_rankings = await _analyze_search_rankings(package_name, search_terms, ["relevance"]) + + return { + "target_package_rankings": target_rankings, + "competitor_rankings": competitor_analysis, + "competitive_position": _calculate_competitive_position(target_rankings, competitor_analysis), + } + + except Exception as e: + logger.warning(f"Failed to analyze competitor rankings: {e}") + return {} + + +def _calculate_competitive_position(target_rankings: Dict, competitor_rankings: Dict) -> Dict[str, Any]: + """Calculate competitive position relative to competitors.""" + target_score = target_rankings.get("visibility_score", 0) + + competitor_scores = [] + for comp_data in competitor_rankings.values(): + score = comp_data.get("visibility_score", 0) + competitor_scores.append(score) + + if not competitor_scores: + return {"position": "unknown", "score_comparison": 0} + + avg_competitor_score = sum(competitor_scores) / len(competitor_scores) + + position = "leading" if target_score > avg_competitor_score else "competitive" if target_score > avg_competitor_score * 0.8 else "trailing" + + return { + "position": position, + "target_score": target_score, + "average_competitor_score": avg_competitor_score, + "score_difference": target_score - avg_competitor_score, + } + + +async def _analyze_package_discoverability(package_name: str, package_data: Dict) -> Dict[str, Any]: + """Analyze package discoverability factors.""" + info = package_data.get("info", {}) + + discoverability_factors = { + "has_keywords": bool(info.get("keywords")), + "has_detailed_description": len(info.get("description", "")) > 500, + "has_classifiers": len(info.get("classifiers", [])) > 5, + "has_project_urls": len(info.get("project_urls", {})) > 1, + "has_homepage": bool(info.get("home_page")), + "descriptive_name": len(package_name) > 3 and not package_name.isdigit(), + } + + discoverability_score = sum(discoverability_factors.values()) * (100 / len(discoverability_factors)) + + return { + "discoverability_score": int(discoverability_score), + "factors": discoverability_factors, + "recommendations": _generate_discoverability_recommendations(discoverability_factors), + } + + +def _generate_discoverability_recommendations(factors: Dict) -> List[str]: + """Generate recommendations to improve discoverability.""" + recommendations = [] + + if not factors.get("has_keywords"): + recommendations.append("Add relevant keywords to improve search visibility") + + if not factors.get("has_detailed_description"): + recommendations.append("Expand package description with more detailed information") + + if not factors.get("has_classifiers"): + recommendations.append("Add more classifiers to categorize the package better") + + if not factors.get("has_project_urls"): + recommendations.append("Add project URLs (repository, documentation, bug tracker)") + + if not factors.get("has_homepage"): + recommendations.append("Add a homepage or documentation URL") + + return recommendations + + +async def _get_seo_analysis(package_name: str, package_data: Dict) -> Dict[str, Any]: + """Analyze SEO factors for the package.""" + info = package_data.get("info", {}) + + seo_factors = { + "name_length_optimal": 3 <= len(package_name) <= 20, + "name_has_keywords": any(keyword in package_name.lower() for keyword in ["api", "client", "tool", "lib", "py"]), + "summary_length_optimal": 20 <= len(info.get("summary", "")) <= 80, + "has_rich_description": len(info.get("description", "")) > 200, + "uses_markdown": info.get("description_content_type", "").lower() in ["text/markdown", "markdown"], + "has_author_info": bool(info.get("author")) or bool(info.get("maintainer")), + } + + seo_score = sum(seo_factors.values()) * (100 / len(seo_factors)) + + return { + "seo_score": int(seo_score), + "factors": seo_factors, + "optimization_suggestions": _generate_seo_suggestions(seo_factors, info), + } + + +def _generate_seo_suggestions(factors: Dict, info: Dict) -> List[str]: + """Generate SEO optimization suggestions.""" + suggestions = [] + + if not factors.get("summary_length_optimal"): + current_length = len(info.get("summary", "")) + if current_length < 20: + suggestions.append("Expand summary to 20-80 characters for better search visibility") + elif current_length > 80: + suggestions.append("Shorten summary to 20-80 characters for optimal display") + + if not factors.get("has_rich_description"): + suggestions.append("Add a detailed description with examples and use cases") + + if not factors.get("uses_markdown"): + suggestions.append("Use Markdown format for better description formatting") + + return suggestions + + +def _calculate_ranking_score(search_rankings: Dict, competitor_analysis: Dict, discoverability: Dict) -> Dict[str, Any]: + """Calculate overall ranking score.""" + visibility_score = search_rankings.get("visibility_score", 0) + discoverability_score = discoverability.get("discoverability_score", 0) + + # Weight the scores + overall_score = (visibility_score * 0.6) + (discoverability_score * 0.4) + + return { + "overall_ranking_score": int(overall_score), + "visibility_component": visibility_score, + "discoverability_component": discoverability_score, + "grade": "A" if overall_score >= 80 else "B" if overall_score >= 60 else "C" if overall_score >= 40 else "D", + } + + +def _generate_ranking_recommendations(search_rankings: Dict, competitor_analysis: Dict, seo_analysis: Dict, ranking_score: Dict) -> List[str]: + """Generate recommendations to improve rankings.""" + recommendations = [] + + if ranking_score.get("overall_ranking_score", 0) < 70: + recommendations.append("Focus on improving package discoverability and SEO") + + if search_rankings.get("visibility_score", 0) < 50: + recommendations.append("Optimize keywords and description for better search visibility") + + # Add SEO-specific recommendations + seo_suggestions = seo_analysis.get("optimization_suggestions", []) + recommendations.extend(seo_suggestions[:3]) # Add top 3 SEO suggestions + + competitive_position = competitor_analysis.get("competitive_position", {}) + if competitive_position.get("position") == "trailing": + recommendations.append("Study competitor packages to identify improvement opportunities") + + return recommendations[:5] # Limit to top 5 recommendations + + +# Competition analysis helper functions + +async def _analyze_basic_competition(package_name: str, competitors: List[str], target_package_data: Dict) -> Dict[str, Any]: + """Perform basic competitive analysis.""" + try: + # Get download stats for target and competitors + from .download_stats import get_package_download_stats + + target_stats = await get_package_download_stats(package_name) + + competitor_stats = {} + for competitor in competitors[:5]: # Limit to 5 competitors + try: + stats = await get_package_download_stats(competitor) + competitor_stats[competitor] = stats + except Exception as e: + logger.warning(f"Failed to get stats for competitor {competitor}: {e}") + competitor_stats[competitor] = {"error": str(e)} + + # Basic comparison metrics + target_downloads = target_stats.get("downloads", {}).get("last_month", 0) + competitor_downloads = [] + + for comp_data in competitor_stats.values(): + if "downloads" in comp_data: + competitor_downloads.append(comp_data["downloads"].get("last_month", 0)) + + avg_competitor_downloads = sum(competitor_downloads) / len(competitor_downloads) if competitor_downloads else 0 + + return { + "target_package": { + "name": package_name, + "monthly_downloads": target_downloads, + "stats": target_stats, + }, + "competitors": competitor_stats, + "comparison": { + "target_downloads": target_downloads, + "average_competitor_downloads": int(avg_competitor_downloads), + "market_position": "leading" if target_downloads > avg_competitor_downloads else "competitive" if target_downloads > avg_competitor_downloads * 0.5 else "trailing", + }, + } + + except Exception as e: + logger.warning(f"Failed basic competition analysis: {e}") + return {} + + +async def _analyze_market_positioning(package_name: str, competitors: List[str]) -> Dict[str, Any]: + """Analyze market positioning relative to competitors.""" + # Simplified implementation due to space constraints + # Full implementation would include detailed package analysis + return { + "positioning_analysis": "Market positioning analysis requires detailed package metadata comparison", + "note": "This is a simplified implementation - full analysis would compare features, maturity, and maintenance activity", + } + + +async def _analyze_adoption_trends(package_name: str, competitors: List[str]) -> Dict[str, Any]: + """Analyze adoption trends for package and competitors.""" + try: + from .download_stats import get_package_download_trends + + # Get trend data for target and competitors + target_trends = await get_package_download_trends(package_name) + + competitor_trends = {} + for competitor in competitors[:3]: # Limit to 3 for performance + try: + trends = await get_package_download_trends(competitor) + competitor_trends[competitor] = trends + except Exception as e: + logger.warning(f"Failed to get trends for {competitor}: {e}") + + return { + "target_trends": target_trends, + "competitor_trends": competitor_trends, + "trend_comparison": _compare_adoption_trends(target_trends, competitor_trends), + } + + except Exception as e: + logger.warning(f"Failed adoption trends analysis: {e}") + return {} + + +def _compare_adoption_trends(target_trends: Dict, competitor_trends: Dict) -> Dict[str, Any]: + """Compare adoption trends between target and competitors.""" + target_analysis = target_trends.get("trend_analysis", {}) + target_direction = target_analysis.get("trend_direction", "stable") + + competitor_directions = [] + for comp_trends in competitor_trends.values(): + comp_analysis = comp_trends.get("trend_analysis", {}) + comp_direction = comp_analysis.get("trend_direction", "stable") + competitor_directions.append(comp_direction) + + # Count trend directions + increasing_competitors = competitor_directions.count("increasing") + decreasing_competitors = competitor_directions.count("decreasing") + + comparison = { + "target_trend": target_direction, + "competitor_trends": { + "increasing": increasing_competitors, + "decreasing": decreasing_competitors, + "stable": len(competitor_directions) - increasing_competitors - decreasing_competitors, + }, + "relative_performance": _assess_relative_trend_performance(target_direction, competitor_directions), + } + + return comparison + + +def _assess_relative_trend_performance(target_direction: str, competitor_directions: List[str]) -> str: + """Assess how target package trend performs relative to competitors.""" + if target_direction == "increasing": + if competitor_directions.count("increasing") == 0: + return "outperforming" + elif competitor_directions.count("increasing") < len(competitor_directions) / 2: + return "above_average" + else: + return "following_market" + elif target_direction == "decreasing": + if competitor_directions.count("decreasing") > len(competitor_directions) / 2: + return "following_market" + else: + return "underperforming" + else: # stable + return "stable_with_market" + + +async def _analyze_feature_comparison(package_name: str, competitors: List[str]) -> Dict[str, Any]: + """Analyze feature comparison between packages.""" + # Simplified implementation due to space constraints + return { + "feature_comparison": "Feature comparison requires detailed documentation analysis", + "note": "Full implementation would parse documentation and analyze feature sets", + } + + +async def _analyze_developer_experience(package_name: str, competitors: List[str]) -> Dict[str, Any]: + """Analyze developer experience factors.""" + # Simplified implementation due to space constraints + return { + "developer_experience": "Developer experience analysis requires detailed metadata comparison", + "note": "Full implementation would assess documentation, examples, and ease of use", + } + + +async def _analyze_market_share(package_name: str, competitors: List[str]) -> Dict[str, Any]: + """Analyze market share based on download statistics.""" + try: + from .download_stats import get_package_download_stats + + # Get download statistics for all packages + all_packages = [package_name] + competitors + download_data = {} + + for pkg in all_packages: + try: + stats = await get_package_download_stats(pkg) + downloads = stats.get("downloads", {}).get("last_month", 0) + download_data[pkg] = downloads + except Exception as e: + logger.warning(f"Failed to get downloads for {pkg}: {e}") + download_data[pkg] = 0 + + # Calculate market share + total_downloads = sum(download_data.values()) + + market_share = {} + for pkg, downloads in download_data.items(): + share_percentage = (downloads / total_downloads * 100) if total_downloads > 0 else 0 + market_share[pkg] = { + "downloads": downloads, + "market_share_percentage": round(share_percentage, 2), + } + + return { + "market_share_data": market_share, + "total_market_downloads": total_downloads, + } + + except Exception as e: + logger.warning(f"Failed market share analysis: {e}") + return {} + + +def _generate_competitive_recommendations(competitive_report: Dict, target_package_data: Dict) -> List[str]: + """Generate strategic recommendations based on competitive analysis.""" + recommendations = [] + + # Basic analysis recommendations + basic_analysis = competitive_report.get("basic_analysis", {}) + comparison = basic_analysis.get("comparison", {}) + + if comparison.get("market_position") == "trailing": + recommendations.append("Focus on improving download growth and user adoption") + recommendations.append("Analyze competitor strengths and differentiate your package") + + elif comparison.get("market_position") == "leading": + recommendations.append("Maintain competitive advantages and continue innovation") + recommendations.append("Monitor competitor developments to stay ahead") + + else: # competitive + recommendations.append("Identify key differentiators to gain competitive edge") + recommendations.append("Focus on specific use cases where you can excel") + + # Add general recommendations + recommendations.append("Improve documentation and developer experience") + recommendations.append("Engage with the community and gather feedback") + + return recommendations[:5] # Limit to top 5 recommendations + + +def _calculate_competitive_strength(competitive_report: Dict) -> Dict[str, Any]: + """Calculate overall competitive strength score.""" + # Simplified scoring based on available data + basic_analysis = competitive_report.get("basic_analysis", {}) + comparison = basic_analysis.get("comparison", {}) + + position = comparison.get("market_position", "competitive") + + if position == "leading": + strength_score = 85 + elif position == "competitive": + strength_score = 65 + else: # trailing + strength_score = 35 + + return { + "competitive_strength_score": strength_score, + "strength_level": "strong" if strength_score > 75 else "moderate" if strength_score > 50 else "weak", + "assessment": f"Package is in {position} position in the competitive landscape", + } + + +def _analyze_growth_patterns(download_stats: Dict, download_trends: Dict) -> Dict[str, Any]: + """Analyze growth patterns from download data.""" + growth_analysis = { + "current_momentum": "unknown", + "growth_indicators": {}, + "trend_assessment": "stable", + } + + # Analyze current stats for momentum indicators + current_stats = download_stats.get("downloads", {}) + if current_stats: + last_day = current_stats.get("last_day", 0) + last_week = current_stats.get("last_week", 0) + last_month = current_stats.get("last_month", 0) + + # Calculate growth indicators + if last_day and last_week: + daily_vs_weekly = (last_day * 7) / last_week if last_week > 0 else 0 + growth_analysis["growth_indicators"]["daily_momentum"] = round(daily_vs_weekly, 2) + + if last_week and last_month: + weekly_vs_monthly = (last_week * 4) / last_month if last_month > 0 else 0 + growth_analysis["growth_indicators"]["weekly_momentum"] = round(weekly_vs_monthly, 2) + + # Analyze historical trends if available + trend_analysis = download_trends.get("trend_analysis", {}) + if trend_analysis: + growth_analysis["trend_assessment"] = trend_analysis.get("trend_direction", "stable") + + return growth_analysis + + +def _analyze_version_frequency(versions: List[str]) -> Dict[str, Any]: + """Analyze version release frequency patterns.""" + if not versions: + return {"frequency": "unknown", "pattern": "no_releases"} + + # Simple frequency analysis based on version count + version_count = len(versions) + + if version_count > 100: + frequency = "very_high" + elif version_count > 50: + frequency = "high" + elif version_count > 20: + frequency = "moderate" + elif version_count > 10: + frequency = "low" + else: + frequency = "very_low" + + return { + "frequency": frequency, + "total_versions": version_count, + "pattern": "active_development" if version_count > 20 else "steady_development" if version_count > 10 else "limited_releases", + } + + +def _analyze_release_patterns(releases: Dict) -> Dict[str, Any]: + """Analyze release patterns from releases data.""" + if not releases: + return {"pattern": "no_releases"} + + # Count releases with files (actual releases vs. yanked) + active_releases = 0 + total_files = 0 + + for version, release_files in releases.items(): + if release_files: # Has files + active_releases += 1 + total_files += len(release_files) + + return { + "total_releases": len(releases), + "active_releases": active_releases, + "average_files_per_release": round(total_files / active_releases, 1) if active_releases > 0 else 0, + "pattern": "comprehensive" if total_files / active_releases > 3 else "standard" if active_releases > 0 else "limited", + } + + +def _calculate_quality_score(info: Dict) -> int: + """Calculate a quality score based on package metadata.""" + score = 0 + + # Description quality (0-30 points) + description = info.get("description", "") + if len(description) > 1000: + score += 30 + elif len(description) > 500: + score += 20 + elif len(description) > 200: + score += 10 + elif len(description) > 50: + score += 5 + + # Summary quality (0-10 points) + summary = info.get("summary", "") + if 20 <= len(summary) <= 100: + score += 10 + elif 10 <= len(summary) <= 150: + score += 5 + + # Keywords (0-10 points) + keywords = info.get("keywords", "") + if keywords and len(keywords.split(",")) >= 3: + score += 10 + elif keywords: + score += 5 + + # Classifiers (0-15 points) + classifiers = info.get("classifiers", []) + if len(classifiers) >= 10: + score += 15 + elif len(classifiers) >= 5: + score += 10 + elif len(classifiers) >= 3: + score += 5 + + # Project URLs (0-15 points) + project_urls = info.get("project_urls", {}) + url_count = len(project_urls) + if url_count >= 4: + score += 15 + elif url_count >= 2: + score += 10 + elif url_count >= 1: + score += 5 + + # License (0-10 points) + if info.get("license"): + score += 10 + + # Author information (0-10 points) + if info.get("author") or info.get("maintainer"): + score += 10 + + return min(100, score) \ No newline at end of file diff --git a/tests/test_analytics.py b/tests/test_analytics.py new file mode 100644 index 0000000..5f489f1 --- /dev/null +++ b/tests/test_analytics.py @@ -0,0 +1,718 @@ +"""Tests for PyPI analytics functionality.""" + +import json +from datetime import datetime +from unittest.mock import AsyncMock, patch, MagicMock + +import httpx +import pytest + +from pypi_query_mcp.core.exceptions import InvalidPackageNameError, PackageNotFoundError +from pypi_query_mcp.tools.analytics import ( + analyze_pypi_competition, + get_pypi_package_analytics, + get_pypi_package_rankings, + get_pypi_security_alerts, + _analyze_growth_patterns, + _assess_data_reliability, + _calculate_quality_score, + _extract_search_terms, + _filter_vulnerabilities_by_severity, + _generate_insights, +) + + +class TestGetPyPIPackageAnalytics: + """Test comprehensive package analytics functionality.""" + + @pytest.fixture + def mock_package_data(self): + """Mock package data for testing.""" + return { + "info": { + "name": "test-package", + "version": "1.0.0", + "summary": "A test package for analytics", + "description": "A comprehensive test package with detailed description for analytics testing", + "keywords": "test, analytics, package", + "classifiers": [ + "Development Status :: 4 - Beta", + "Intended Audience :: Developers", + "License :: OSI Approved :: MIT License", + "Programming Language :: Python :: 3", + "Topic :: Software Development :: Libraries", + ], + "license": "MIT", + "author": "Test Author", + "home_page": "https://example.com", + "project_urls": { + "Documentation": "https://docs.example.com", + "Repository": "https://github.com/test/test-package", + }, + "requires_python": ">=3.8", + "requires_dist": ["requests>=2.25.0", "click>=7.0"], + }, + "releases": { + "1.0.0": [{"upload_time_iso_8601": "2024-01-15T10:00:00Z"}], + "0.9.0": [{"upload_time_iso_8601": "2023-12-01T10:00:00Z"}], + }, + } + + @pytest.fixture + def mock_download_stats(self): + """Mock download statistics for testing.""" + return { + "downloads": { + "last_day": 1000, + "last_week": 7000, + "last_month": 30000, + }, + "analysis": { + "total_downloads": 38000, + "growth_indicators": { + "daily_vs_weekly": 1.0, + "weekly_vs_monthly": 0.93, + }, + }, + } + + @pytest.mark.asyncio + async def test_get_package_analytics_success(self, mock_package_data, mock_download_stats): + """Test successful package analytics retrieval.""" + with ( + patch("pypi_query_mcp.tools.analytics.PyPIClient") as mock_pypi_client, + patch("pypi_query_mcp.tools.analytics.get_package_download_stats") as mock_download_stats_func, + patch("pypi_query_mcp.tools.analytics.get_package_download_trends") as mock_download_trends_func, + ): + # Setup mocks + mock_client_instance = AsyncMock() + mock_client_instance.get_package_info.return_value = mock_package_data + mock_pypi_client.return_value.__aenter__.return_value = mock_client_instance + + mock_download_stats_func.return_value = mock_download_stats + mock_download_trends_func.return_value = { + "trend_analysis": {"trend_direction": "increasing"} + } + + # Call function + result = await get_pypi_package_analytics("test-package") + + # Assertions + assert result["package"] == "test-package" + assert "analysis_timestamp" in result + assert result["time_period"] == "month" + assert "metadata" in result + assert "download_analytics" in result + assert "quality_metrics" in result + assert "insights" in result + assert "data_reliability" in result + + # Check metadata + metadata = result["metadata"] + assert metadata["name"] == "test-package" + assert metadata["version"] == "1.0.0" + assert metadata["author"] == "Test Author" + + # Check quality metrics + quality_metrics = result["quality_metrics"] + assert "quality_score" in quality_metrics + assert quality_metrics["has_description"] is True + assert quality_metrics["has_keywords"] is True + + @pytest.mark.asyncio + async def test_get_package_analytics_invalid_package_name(self): + """Test analytics with invalid package name.""" + with pytest.raises(InvalidPackageNameError): + await get_pypi_package_analytics("") + + with pytest.raises(InvalidPackageNameError): + await get_pypi_package_analytics(" ") + + @pytest.mark.asyncio + async def test_get_package_analytics_minimal_options(self, mock_package_data): + """Test analytics with minimal options.""" + with ( + patch("pypi_query_mcp.tools.analytics.PyPIClient") as mock_pypi_client, + patch("pypi_query_mcp.tools.analytics.get_package_download_stats") as mock_download_stats_func, + ): + # Setup mocks + mock_client_instance = AsyncMock() + mock_client_instance.get_package_info.return_value = mock_package_data + mock_pypi_client.return_value.__aenter__.return_value = mock_client_instance + + mock_download_stats_func.return_value = {"downloads": {"last_day": 100}} + + # Call function with minimal options + result = await get_pypi_package_analytics( + "test-package", + include_historical=False, + include_platform_breakdown=False, + include_version_analytics=False, + ) + + # Should not include optional sections + assert "version_analytics" not in result + assert "platform_analytics" not in result + + +class TestGetPyPISecurityAlerts: + """Test security alerts functionality.""" + + @pytest.fixture + def mock_osv_response(self): + """Mock OSV API response.""" + return { + "vulns": [ + { + "id": "GHSA-xxxx-xxxx-xxxx", + "summary": "Test vulnerability", + "details": "This is a test vulnerability", + "affected": [{"package": {"name": "test-package", "ecosystem": "PyPI"}}], + "database_specific": {"severity": "HIGH"}, + } + ] + } + + @pytest.mark.asyncio + async def test_get_security_alerts_success(self, mock_osv_response): + """Test successful security alerts retrieval.""" + with ( + patch("httpx.AsyncClient") as mock_httpx_client, + patch("pypi_query_mcp.tools.analytics.PyPIClient") as mock_pypi_client, + ): + # Setup OSV API mock + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = mock_osv_response + + mock_client_instance = AsyncMock() + mock_client_instance.post.return_value = mock_response + mock_httpx_client.return_value.__aenter__.return_value = mock_client_instance + + # Setup PyPI client mock + mock_pypi_client_instance = AsyncMock() + mock_pypi_client_instance.get_package_info.return_value = { + "info": {"name": "test-package", "license": "MIT"} + } + mock_pypi_client.return_value.__aenter__.return_value = mock_pypi_client_instance + + # Call function + result = await get_pypi_security_alerts("test-package") + + # Assertions + assert result["package"] == "test-package" + assert "scan_timestamp" in result + assert "security_score" in result + assert "vulnerabilities" in result + assert "recommendations" in result + + # Check vulnerabilities + vulns = result["vulnerabilities"] + assert vulns["vulnerability_count"] == 1 + assert len(vulns["vulnerabilities"]) == 1 + assert vulns["vulnerabilities"][0]["id"] == "GHSA-xxxx-xxxx-xxxx" + + @pytest.mark.asyncio + async def test_get_security_alerts_no_vulnerabilities(self): + """Test security alerts when no vulnerabilities found.""" + with ( + patch("httpx.AsyncClient") as mock_httpx_client, + patch("pypi_query_mcp.tools.analytics.PyPIClient") as mock_pypi_client, + ): + # Setup OSV API mock with no vulnerabilities + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = {"vulns": []} + + mock_client_instance = AsyncMock() + mock_client_instance.post.return_value = mock_response + mock_httpx_client.return_value.__aenter__.return_value = mock_client_instance + + # Setup PyPI client mock + mock_pypi_client_instance = AsyncMock() + mock_pypi_client_instance.get_package_info.return_value = { + "info": {"name": "test-package", "license": "MIT"} + } + mock_pypi_client.return_value.__aenter__.return_value = mock_pypi_client_instance + + # Call function + result = await get_pypi_security_alerts("test-package") + + # Should have no vulnerabilities but still provide security analysis + assert result["vulnerabilities"]["vulnerability_count"] == 0 + assert len(result["vulnerabilities"]["vulnerabilities"]) == 0 + assert "security_score" in result + + @pytest.mark.asyncio + async def test_get_security_alerts_with_severity_filter(self, mock_osv_response): + """Test security alerts with severity filtering.""" + # Add different severity vulnerabilities + mock_osv_response["vulns"].append({ + "id": "GHSA-yyyy-yyyy-yyyy", + "summary": "Low severity vulnerability", + "database_specific": {"severity": "LOW"}, + }) + + with ( + patch("httpx.AsyncClient") as mock_httpx_client, + patch("pypi_query_mcp.tools.analytics.PyPIClient") as mock_pypi_client, + ): + # Setup mocks + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = mock_osv_response + + mock_client_instance = AsyncMock() + mock_client_instance.post.return_value = mock_response + mock_httpx_client.return_value.__aenter__.return_value = mock_client_instance + + mock_pypi_client_instance = AsyncMock() + mock_pypi_client_instance.get_package_info.return_value = { + "info": {"name": "test-package"} + } + mock_pypi_client.return_value.__aenter__.return_value = mock_pypi_client_instance + + # Call function with HIGH severity filter + result = await get_pypi_security_alerts("test-package", severity_filter="HIGH") + + # Should only include HIGH severity vulnerabilities + vulns = result["vulnerabilities"]["vulnerabilities"] + assert len(vulns) == 1 + assert vulns[0]["database_specific"]["severity"] == "HIGH" + + @pytest.mark.asyncio + async def test_get_security_alerts_invalid_package_name(self): + """Test security alerts with invalid package name.""" + with pytest.raises(InvalidPackageNameError): + await get_pypi_security_alerts("") + + +class TestGetPyPIPackageRankings: + """Test package rankings functionality.""" + + @pytest.fixture + def mock_search_results(self): + """Mock search results for testing.""" + return { + "packages": [ + {"name": "popular-package", "summary": "A popular package"}, + {"name": "test-package", "summary": "Test package"}, + {"name": "another-package", "summary": "Another package"}, + ] + } + + @pytest.mark.asyncio + async def test_get_package_rankings_success(self, mock_search_results): + """Test successful package rankings analysis.""" + mock_package_data = { + "info": { + "name": "test-package", + "summary": "A test package for ranking analysis", + "keywords": "test, ranking, analysis", + "classifiers": ["Topic :: Software Development"], + } + } + + with ( + patch("pypi_query_mcp.tools.analytics.PyPIClient") as mock_pypi_client, + patch("pypi_query_mcp.tools.analytics.search_packages") as mock_search, + ): + # Setup mocks + mock_client_instance = AsyncMock() + mock_client_instance.get_package_info.return_value = mock_package_data + mock_pypi_client.return_value.__aenter__.return_value = mock_client_instance + + mock_search.return_value = mock_search_results + + # Call function + result = await get_pypi_package_rankings("test-package") + + # Assertions + assert result["package"] == "test-package" + assert "ranking_score" in result + assert "search_rankings" in result + assert "competitor_analysis" in result + assert "improvement_suggestions" in result + + # Check that search terms were extracted + analysis_parameters = result["analysis_parameters"] + assert "search_terms" in analysis_parameters + assert len(analysis_parameters["search_terms"]) > 0 + + @pytest.mark.asyncio + async def test_get_package_rankings_with_custom_terms(self): + """Test package rankings with custom search terms.""" + custom_terms = ["web", "framework", "python"] + custom_competitors = ["flask", "django", "fastapi"] + + with ( + patch("pypi_query_mcp.tools.analytics.PyPIClient") as mock_pypi_client, + patch("pypi_query_mcp.tools.analytics.search_packages") as mock_search, + ): + # Setup mocks + mock_client_instance = AsyncMock() + mock_client_instance.get_package_info.return_value = { + "info": {"name": "test-package"} + } + mock_pypi_client.return_value.__aenter__.return_value = mock_client_instance + + mock_search.return_value = {"packages": []} + + # Call function with custom parameters + result = await get_pypi_package_rankings( + "test-package", + search_terms=custom_terms, + competitor_packages=custom_competitors, + ) + + # Check that custom parameters were used + analysis_parameters = result["analysis_parameters"] + assert analysis_parameters["search_terms"] == custom_terms + assert analysis_parameters["competitor_packages"] == custom_competitors + + +class TestAnalyzePyPICompetition: + """Test competitive analysis functionality.""" + + @pytest.fixture + def mock_competitor_data(self): + """Mock competitor package data.""" + return { + "flask": { + "info": { + "name": "flask", + "version": "2.3.0", + "summary": "A lightweight WSGI web application framework", + "keywords": "web, framework, wsgi", + } + }, + "django": { + "info": { + "name": "django", + "version": "4.2.0", + "summary": "A high-level Python web framework", + "keywords": "web, framework, mvc", + } + }, + } + + @pytest.mark.asyncio + async def test_analyze_competition_basic(self, mock_competitor_data): + """Test basic competitive analysis.""" + target_package_data = { + "info": { + "name": "test-web-framework", + "version": "1.0.0", + "summary": "A test web framework", + "keywords": "web, framework, test", + } + } + + with ( + patch("pypi_query_mcp.tools.analytics.PyPIClient") as mock_pypi_client, + patch("pypi_query_mcp.tools.analytics.get_package_download_stats") as mock_stats, + ): + # Setup mocks + def mock_get_package_info(package_name): + if package_name == "test-web-framework": + return target_package_data + return mock_competitor_data.get(package_name, {}) + + mock_client_instance = AsyncMock() + mock_client_instance.get_package_info.side_effect = mock_get_package_info + mock_pypi_client.return_value.__aenter__.return_value = mock_client_instance + + mock_stats.return_value = { + "downloads": {"last_month": 10000} + } + + # Call function with basic analysis + result = await analyze_pypi_competition( + "test-web-framework", + competitor_packages=["flask", "django"], + analysis_depth="basic", + ) + + # Assertions + assert result["package"] == "test-web-framework" + assert result["analysis_depth"] == "basic" + assert "basic_analysis" in result + assert "strategic_recommendations" in result + assert "competitive_strength" in result + + # Check competitor packages + assert result["competitor_packages"] == ["flask", "django"] + + @pytest.mark.asyncio + async def test_analyze_competition_comprehensive(self): + """Test comprehensive competitive analysis.""" + with ( + patch("pypi_query_mcp.tools.analytics.PyPIClient") as mock_pypi_client, + patch("pypi_query_mcp.tools.analytics._find_competitor_packages") as mock_find_competitors, + patch("pypi_query_mcp.tools.analytics.get_package_download_stats") as mock_stats, + ): + # Setup mocks + mock_client_instance = AsyncMock() + mock_client_instance.get_package_info.return_value = { + "info": {"name": "test-package", "version": "1.0.0"} + } + mock_pypi_client.return_value.__aenter__.return_value = mock_client_instance + + mock_find_competitors.return_value = ["competitor1", "competitor2"] + mock_stats.return_value = {"downloads": {"last_month": 5000}} + + # Call function with comprehensive analysis + result = await analyze_pypi_competition( + "test-package", + analysis_depth="comprehensive", + ) + + # Should include additional analysis sections + assert "market_positioning" in result + assert "adoption_trends" in result + + @pytest.mark.asyncio + async def test_analyze_competition_invalid_package_name(self): + """Test competitive analysis with invalid package name.""" + with pytest.raises(InvalidPackageNameError): + await analyze_pypi_competition("") + + +class TestHelperFunctions: + """Test helper functions used in analytics.""" + + def test_calculate_quality_score(self): + """Test quality score calculation.""" + # High quality package info + high_quality_info = { + "description": "A" * 1500, # Long description + "summary": "A comprehensive test package", # Good summary + "keywords": "test, analytics, package, quality", # Keywords + "classifiers": [f"Classifier :: {i}" for i in range(15)], # Many classifiers + "project_urls": { + "Documentation": "https://docs.example.com", + "Repository": "https://github.com/test/test", + "Bug Tracker": "https://github.com/test/test/issues", + "Changelog": "https://github.com/test/test/releases", + }, + "license": "MIT", + "author": "Test Author", + } + + score = _calculate_quality_score(high_quality_info) + assert score >= 80 # Should be high quality score + + # Low quality package info + low_quality_info = { + "description": "Short", + "summary": "", + "keywords": "", + "classifiers": [], + "project_urls": {}, + "license": "", + "author": "", + } + + score = _calculate_quality_score(low_quality_info) + assert score <= 20 # Should be low quality score + + def test_extract_search_terms(self): + """Test search terms extraction.""" + package_data = { + "info": { + "name": "test-web-framework", + "keywords": "web, framework, wsgi, python", + "summary": "A lightweight web framework for rapid development", + "classifiers": [ + "Topic :: Internet :: WWW/HTTP", + "Topic :: Software Development :: Libraries", + ], + } + } + + terms = _extract_search_terms(package_data) + + assert "test-web-framework" in terms + assert "web" in terms + assert "framework" in terms + assert len(terms) <= 10 # Should limit terms + + def test_filter_vulnerabilities_by_severity(self): + """Test vulnerability filtering by severity.""" + vulnerabilities = { + "vulnerabilities": [ + {"id": "vuln1", "database_specific": {"severity": "HIGH"}}, + {"id": "vuln2", "database_specific": {"severity": "LOW"}}, + {"id": "vuln3", "database_specific": {"severity": "HIGH"}}, + {"id": "vuln4", "withdrawn": True}, # Should be filtered out + ], + "vulnerability_count": 4, + } + + # Filter by HIGH severity + filtered = _filter_vulnerabilities_by_severity( + vulnerabilities, "HIGH", include_historical=False + ) + + assert filtered["filtered_count"] == 2 # Only HIGH severity, non-withdrawn + assert all( + v["database_specific"]["severity"] == "HIGH" + for v in filtered["vulnerabilities"] + if "database_specific" in v + ) + + def test_generate_insights(self): + """Test insights generation.""" + download_analytics = { + "current_stats": { + "downloads": {"last_month": 150000} # High traffic + } + } + + metadata = {"name": "test-package"} + + quality_metrics = {"quality_score": 85} # High quality + + insights = _generate_insights(download_analytics, metadata, quality_metrics) + + assert "performance_insights" in insights + assert "quality_insights" in insights + assert "recommendations" in insights + + # Should identify high traffic + performance_insights = insights["performance_insights"] + assert any("High-traffic" in insight for insight in performance_insights) + + # Should identify good quality + quality_insights = insights["quality_insights"] + assert any("Well-documented" in insight for insight in quality_insights) + + def test_assess_data_reliability(self): + """Test data reliability assessment.""" + # All operations successful + all_successful = [{"data": "test"}, {"data": "test2"}] + reliability = _assess_data_reliability(all_successful) + + assert reliability["reliability_score"] == 100.0 + assert reliability["status"] == "excellent" + + # Some operations failed + mixed_results = [{"data": "test"}, Exception("error"), {"data": "test2"}] + reliability = _assess_data_reliability(mixed_results) + + assert reliability["reliability_score"] < 100.0 + assert reliability["successful_operations"] == 2 + assert reliability["total_operations"] == 3 + + def test_analyze_growth_patterns(self): + """Test growth pattern analysis.""" + download_stats = { + "downloads": { + "last_day": 1000, + "last_week": 7000, + "last_month": 30000, + } + } + + download_trends = { + "trend_analysis": { + "trend_direction": "increasing", + "peak_day": {"date": "2024-01-15", "downloads": 2000}, + } + } + + growth_analysis = _analyze_growth_patterns(download_stats, download_trends) + + assert "growth_indicators" in growth_analysis + assert "trend_assessment" in growth_analysis + assert growth_analysis["trend_assessment"] == "increasing" + + # Check growth indicators + indicators = growth_analysis["growth_indicators"] + assert "daily_momentum" in indicators + assert "weekly_momentum" in indicators + + +class TestIntegration: + """Integration tests for analytics functionality.""" + + @pytest.mark.asyncio + async def test_full_analytics_workflow(self): + """Test complete analytics workflow with mocked dependencies.""" + package_name = "requests" + + # Mock all external dependencies + with ( + patch("pypi_query_mcp.tools.analytics.PyPIClient") as mock_pypi_client, + patch("pypi_query_mcp.tools.analytics.get_package_download_stats") as mock_download_stats, + patch("pypi_query_mcp.tools.analytics.get_package_download_trends") as mock_download_trends, + patch("httpx.AsyncClient") as mock_httpx_client, + ): + # Setup comprehensive mocks + mock_package_data = { + "info": { + "name": package_name, + "version": "2.31.0", + "summary": "Python HTTP for Humans.", + "description": "A" * 2000, # Long description + "keywords": "http, requests, python, web", + "classifiers": [f"Classifier :: {i}" for i in range(20)], + "license": "Apache 2.0", + "author": "Kenneth Reitz", + "project_urls": { + "Documentation": "https://docs.python-requests.org", + "Repository": "https://github.com/psf/requests", + }, + }, + "releases": {f"2.{i}.0": [{}] for i in range(30, 20, -1)}, + } + + mock_client_instance = AsyncMock() + mock_client_instance.get_package_info.return_value = mock_package_data + mock_pypi_client.return_value.__aenter__.return_value = mock_client_instance + + mock_download_stats.return_value = { + "downloads": {"last_month": 50000000}, # Very popular + "analysis": {"total_downloads": 50000000} + } + + mock_download_trends.return_value = { + "trend_analysis": {"trend_direction": "increasing"} + } + + # Mock OSV response (no vulnerabilities) + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = {"vulns": []} + + mock_httpx_instance = AsyncMock() + mock_httpx_instance.post.return_value = mock_response + mock_httpx_client.return_value.__aenter__.return_value = mock_httpx_instance + + # Test analytics + analytics_result = await get_pypi_package_analytics(package_name) + assert analytics_result["package"] == package_name + assert analytics_result["quality_metrics"]["quality_score"] > 80 + + # Test security alerts + security_result = await get_pypi_security_alerts(package_name) + assert security_result["package"] == package_name + assert security_result["vulnerabilities"]["vulnerability_count"] == 0 + + # Test rankings (with search mock) + with patch("pypi_query_mcp.tools.analytics.search_packages") as mock_search: + mock_search.return_value = { + "packages": [{"name": package_name}, {"name": "urllib3"}] + } + + rankings_result = await get_pypi_package_rankings(package_name) + assert rankings_result["package"] == package_name + + # Test competition analysis + competition_result = await analyze_pypi_competition( + package_name, + competitor_packages=["urllib3", "httpx"], + analysis_depth="basic" + ) + assert competition_result["package"] == package_name + assert "competitive_strength" in competition_result \ No 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