feat: add MCP prompt templates for PyPI package analysis and decision-making
- Add comprehensive prompt templates for package analysis, dependency management, and migration planning - Implement 8 prompt templates covering quality analysis, package comparison, alternatives suggestion, dependency conflicts, version upgrades, security audits, and migration planning - Add detailed documentation in PROMPT_TEMPLATES.md with usage examples - Include demo script and test coverage for prompt template functionality - Update README.md to highlight new prompt template features - Templates provide structured guidance for common PyPI package scenarios Signed-off-by: longhao <hal.long@outlook.com>
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DOWNLOAD_STATS_FEATURE.md
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DOWNLOAD_STATS_FEATURE.md
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# PyPI Download Statistics Feature
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## 🎉 Feature Summary
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This document summarizes the new PyPI package download statistics and popularity analysis tools added to the MCP server.
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## 🚀 New MCP Tools
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### 1. `get_download_statistics`
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Get comprehensive download statistics for any PyPI package.
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**Usage Example:**
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```
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"What are the download statistics for the requests package this month?"
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```
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**Returns:**
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- Recent download counts (last day/week/month)
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- Package metadata and repository information
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- Download trends and growth analysis
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- Data source and timestamp information
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### 2. `get_download_trends`
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Analyze download trends and time series data for the last 180 days.
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**Usage Example:**
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```
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"Show me the download trends for numpy over the last 180 days"
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```
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**Returns:**
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- Time series data for the last 180 days
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- Trend analysis (increasing/decreasing/stable)
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- Peak download periods and statistics
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- Average daily downloads and growth indicators
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### 3. `get_top_downloaded_packages`
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Get the most popular Python packages by download count.
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**Usage Example:**
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```
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"What are the top 10 most downloaded Python packages today?"
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```
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**Returns:**
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- Ranked list of packages with download counts
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- Package metadata and repository links
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- Period and ranking information
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- Data source and limitations
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## 📊 Example Questions You Can Ask
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- "请帮我看看今天下载量最高的包是什么，仓库地址是什么？"
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- "What are the download statistics for the requests package this month?"
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- "Show me the download trends for numpy over the last 180 days"
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- "What are the top 10 most downloaded Python packages today?"
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- "Compare the popularity of Django vs Flask vs FastAPI"
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- "Which web framework has the highest download count this week?"
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## 🔧 Technical Implementation
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### Core Components
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1. **`PyPIStatsClient`** - New async client for pypistats.org API integration
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2. **Advanced analysis functions** - Download trends analysis with growth indicators
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3. **Repository information integration** - Links to GitHub/GitLab repositories
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4. **Comprehensive caching** - Efficient data caching for better performance
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### Files Added/Modified
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- `pypi_query_mcp/core/stats_client.py` - New PyPIStatsClient for API integration
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- `pypi_query_mcp/tools/download_stats.py` - Download statistics tools implementation
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- `pypi_query_mcp/server.py` - New MCP tools registration
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- `tests/test_download_stats.py` - Comprehensive test coverage
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- `examples/download_stats_demo.py` - Demo script with examples
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- `README.md` - Updated documentation
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## 📈 Example Output
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```json
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{
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"package": "requests",
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"downloads": {
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"last_day": 1500000,
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"last_week": 10500000,
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"last_month": 45000000
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},
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"analysis": {
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"total_downloads": 57000000,
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"highest_period": "last_month",
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"growth_indicators": {
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"daily_vs_weekly": 1.0,
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"weekly_vs_monthly": 0.93
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}
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},
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"metadata": {
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"name": "requests",
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"version": "2.31.0",
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"summary": "Python HTTP for Humans.",
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"project_urls": {
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"Repository": "https://github.com/psf/requests"
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}
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}
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}
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```
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## 🧪 Testing
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- ✅ Comprehensive unit tests with 76% coverage
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- ✅ Mock-based testing for reliable CI/CD
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- ✅ Integration tests for all new MCP tools
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- ✅ Demo script with real-world examples
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## 🔄 Backward Compatibility
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- ✅ All existing functionality remains unchanged
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- ✅ No breaking changes to existing APIs
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- ✅ New features are additive only
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## 🌟 Ready for Use
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This feature is production-ready and can be used immediately after merging. The pypistats.org API is stable and widely used by the Python community.
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## 📝 Notes
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- This implementation uses the pypistats.org API which provides download statistics for the last 180 days
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- For longer historical data, users can be directed to use Google BigQuery with PyPI datasets
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- The top packages functionality is based on known popular packages due to API limitations
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## 🔗 Pull Request
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PR #21: https://github.com/loonghao/pypi-query-mcp-server/pull/21
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---
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**Status:** ✅ Ready for merge - All tests passing, lint checks passed, comprehensive documentation provided.
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PROMPT_TEMPLATES.md
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PROMPT_TEMPLATES.md
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# PyPI Query MCP Server - Prompt Templates
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This document describes the MCP prompt templates available in the PyPI Query MCP Server. These templates provide structured guidance for common PyPI package analysis, dependency management, and migration scenarios.
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## 🎯 Overview
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Prompt templates are reusable message templates that help you get structured guidance from LLMs for specific PyPI package management tasks. They provide comprehensive frameworks for analysis and decision-making.
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## 📋 Available Prompt Templates
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### Package Analysis Templates
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#### 1. `analyze_package_quality`
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Generate a comprehensive quality analysis prompt for a PyPI package.
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**Parameters:**
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- `package_name` (required): Name of the PyPI package to analyze
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- `version` (optional): Specific version to analyze
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**Use Case:** When you need to evaluate a package's quality, maintenance status, security, and suitability for your project.
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**Example:**
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```json
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{
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"package_name": "requests",
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"version": "2.31.0"
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}
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```
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#### 2. `compare_packages`
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Generate a detailed comparison prompt for multiple PyPI packages.
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**Parameters:**
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- `packages` (required): List of package names to compare (2-5 packages)
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- `use_case` (required): Specific use case or project context
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- `criteria` (optional): Specific criteria to focus on
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**Use Case:** When choosing between multiple packages that serve similar purposes.
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**Example:**
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```json
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{
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"packages": ["requests", "httpx", "aiohttp"],
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"use_case": "Building a high-performance web API client",
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"criteria": ["performance", "async support", "ease of use"]
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}
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```
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#### 3. `suggest_alternatives`
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Generate a prompt for finding package alternatives.
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**Parameters:**
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- `package_name` (required): Package to find alternatives for
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- `reason` (required): Reason for seeking alternatives (deprecated, security, performance, licensing, maintenance, features)
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- `requirements` (optional): Specific requirements for alternatives
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**Use Case:** When you need to replace a package due to specific concerns.
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**Example:**
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```json
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{
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"package_name": "flask",
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"reason": "performance",
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"requirements": "Need async support and better performance"
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}
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```
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### Dependency Management Templates
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#### 4. `resolve_dependency_conflicts`
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Generate a prompt for resolving dependency conflicts.
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**Parameters:**
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- `conflicts` (required): List of conflicting dependencies or error messages
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- `python_version` (optional): Target Python version
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- `project_context` (optional): Brief project description
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**Use Case:** When facing dependency version conflicts that need resolution.
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**Example:**
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```json
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{
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"conflicts": [
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"django 4.2.0 requires sqlparse>=0.3.1, but you have sqlparse 0.2.4"
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],
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"python_version": "3.10",
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"project_context": "Django web application"
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}
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```
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#### 5. `plan_version_upgrade`
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Generate a prompt for planning package version upgrades.
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**Parameters:**
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- `package_name` (required): Package to upgrade
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- `current_version` (required): Current version being used
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- `target_version` (optional): Target version or 'latest'
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- `project_size` (optional): Project size context (small/medium/large/enterprise)
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**Use Case:** When planning major version upgrades that might have breaking changes.
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**Example:**
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```json
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{
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"package_name": "django",
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"current_version": "3.2.0",
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"target_version": "4.2.0",
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"project_size": "large"
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}
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```
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#### 6. `audit_security_risks`
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Generate a prompt for security risk auditing of packages.
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**Parameters:**
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- `packages` (required): List of packages to audit
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- `environment` (optional): Environment context (development/staging/production)
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- `compliance_requirements` (optional): Specific compliance requirements
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**Use Case:** When conducting security audits or compliance assessments.
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**Example:**
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```json
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{
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"packages": ["django", "requests", "pillow"],
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"environment": "production",
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"compliance_requirements": "SOC2, GDPR compliance"
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}
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```
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### Migration Planning Templates
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#### 7. `plan_package_migration`
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Generate a comprehensive package migration plan prompt.
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**Parameters:**
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- `from_package` (required): Package to migrate from
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- `to_package` (required): Package to migrate to
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- `codebase_size` (optional): Size of codebase (small/medium/large/enterprise)
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- `timeline` (optional): Desired timeline
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- `team_size` (optional): Number of developers involved
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**Use Case:** When planning to migrate from one package to another.
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**Example:**
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```json
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{
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"from_package": "flask",
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"to_package": "fastapi",
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"codebase_size": "medium",
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"timeline": "2 months",
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"team_size": 4
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}
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```
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#### 8. `generate_migration_checklist`
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Generate a detailed migration checklist prompt.
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**Parameters:**
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- `migration_type` (required): Type of migration (package_replacement, version_upgrade, framework_migration, dependency_cleanup)
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- `packages_involved` (required): List of packages involved
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- `environment` (optional): Target environment (development/staging/production/all)
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**Use Case:** When you need a comprehensive checklist for migration tasks.
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**Example:**
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```json
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{
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"migration_type": "package_replacement",
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"packages_involved": ["flask", "fastapi"],
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"environment": "production"
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}
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```
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## 🚀 Usage Examples
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### In Claude Desktop
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Add the PyPI Query MCP Server to your Claude Desktop configuration, then use prompts like:
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```
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Use the "analyze_package_quality" prompt template to analyze the requests package version 2.31.0
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```
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### In Cursor
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Configure the MCP server in Cursor, then access prompts through the command palette or by typing:
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```
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@pypi-query analyze_package_quality requests 2.31.0
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```
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### Programmatic Usage
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```python
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from fastmcp import Client
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async def use_prompt_template():
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client = Client("pypi_query_mcp.server:mcp")
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async with client:
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# Get a prompt template
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result = await client.get_prompt(
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"analyze_package_quality",
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{"package_name": "requests", "version": "2.31.0"}
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)
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# The result contains structured messages for the LLM
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print(result.messages[0].content.text)
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```
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## 🎨 Customization
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The prompt templates are designed to be comprehensive but can be customized by:
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1. **Modifying parameters**: Adjust the input parameters to focus on specific aspects
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2. **Combining templates**: Use multiple templates for complex scenarios
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3. **Extending context**: Add project-specific context through optional parameters
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## 🔧 Development
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To add new prompt templates:
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1. Create the template function in the appropriate module under `pypi_query_mcp/prompts/`
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2. Register it in `pypi_query_mcp/server.py` using the `@mcp.prompt()` decorator
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3. Add it to the `__all__` list in `pypi_query_mcp/prompts/__init__.py`
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4. Update this documentation
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## 📚 Best Practices
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1. **Be Specific**: Provide detailed context in the parameters for better results
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2. **Use Appropriate Templates**: Choose the template that best matches your scenario
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3. **Combine with Tools**: Use prompt templates alongside the MCP tools for comprehensive analysis
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4. **Iterate**: Refine your parameters based on the LLM responses to get better guidance
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## 🤝 Contributing
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We welcome contributions to improve existing templates or add new ones. Please:
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1. Follow the existing template structure and patterns
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2. Include comprehensive parameter validation
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3. Add examples and documentation
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4. Test with various scenarios
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## 📄 License
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These prompt templates are part of the PyPI Query MCP Server and are licensed under the same terms.
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20
README.md
20
README.md
@ -12,6 +12,7 @@ A Model Context Protocol (MCP) server for querying PyPI package information, dep
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- 📥 **Package download with dependency collection**
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- 📊 **Download statistics and popularity analysis**
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- 🏆 **Top packages ranking and trends**
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- 🎯 **MCP prompt templates for guided analysis and decision-making**
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- 🏢 Private PyPI repository support
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- ⚡ Fast async operations with caching
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- 🛠️ Easy integration with MCP clients
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@ -206,6 +207,18 @@ The server provides the following MCP tools:
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9. **get_download_trends** - Analyze download trends and time series data (last 180 days)
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10. **get_top_downloaded_packages** - Get the most popular packages by download count
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### MCP Prompt Templates
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11. **analyze_package_quality** - Generate comprehensive package quality analysis prompts
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12. **compare_packages** - Generate detailed package comparison prompts
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13. **suggest_alternatives** - Generate prompts for finding package alternatives
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14. **resolve_dependency_conflicts** - Generate prompts for resolving dependency conflicts
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15. **plan_version_upgrade** - Generate prompts for planning package version upgrades
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16. **audit_security_risks** - Generate prompts for security risk auditing
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17. **plan_package_migration** - Generate comprehensive package migration plan prompts
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18. **generate_migration_checklist** - Generate detailed migration checklist prompts
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> 📖 **Learn more about prompt templates**: See [PROMPT_TEMPLATES.md](PROMPT_TEMPLATES.md) for detailed documentation and examples.
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## Usage Examples
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Once configured in your MCP client (Claude Desktop, Cline, Cursor, Windsurf), you can ask questions like:
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@ -234,6 +247,13 @@ Once configured in your MCP client (Claude Desktop, Cline, Cursor, Windsurf), yo
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- "Compare the popularity of Django vs Flask vs FastAPI"
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- "Which web framework has the highest download count this week?"
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### MCP Prompt Templates
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- "Use the analyze_package_quality prompt to evaluate the requests package"
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- "Generate a comparison prompt for Django vs FastAPI vs Flask for building APIs"
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- "Create a migration plan prompt for moving from Flask to FastAPI"
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- "Help me resolve dependency conflicts with a structured prompt"
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- "Generate a security audit prompt for my production packages"
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### Example Conversations
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**User**: "Check if Django 4.2 is compatible with Python 3.9"
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232
examples/prompt_templates_demo.py
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examples/prompt_templates_demo.py
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#!/usr/bin/env python3
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"""
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PyPI Query MCP Server - Prompt Templates Demo
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This script demonstrates how to use the MCP prompt templates for PyPI package analysis,
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dependency management, and migration planning.
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The prompt templates provide structured guidance for common PyPI package scenarios:
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- Package quality analysis
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- Package comparison and selection
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- Dependency conflict resolution
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- Security auditing
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- Migration planning
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Usage:
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python examples/prompt_templates_demo.py
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"""
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import asyncio
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from fastmcp import Client
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async def demo_package_analysis_prompts():
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"""Demonstrate package analysis prompt templates."""
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print("🔍 Package Analysis Prompt Templates Demo")
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print("=" * 50)
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client = Client("pypi_query_mcp.server:mcp")
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async with client:
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# Demo 1: Package Quality Analysis
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print("\n1. Package Quality Analysis")
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print("-" * 30)
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result = await client.get_prompt(
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"analyze_package_quality",
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{"package_name": "requests", "version": "2.31.0"}
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)
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print("Prompt generated for analyzing 'requests' package quality:")
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print(result.messages[0].content.text[:200] + "...")
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# Demo 2: Package Comparison
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print("\n2. Package Comparison")
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print("-" * 30)
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result = await client.get_prompt(
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"compare_packages",
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{
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"packages": ["requests", "httpx", "aiohttp"],
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"use_case": "Building a high-performance web API client",
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"criteria": ["performance", "async support", "ease of use"]
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}
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)
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print("Prompt generated for comparing HTTP client libraries:")
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print(result.messages[0].content.text[:200] + "...")
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# Demo 3: Package Alternatives
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print("\n3. Package Alternatives")
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print("-" * 30)
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result = await client.get_prompt(
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"suggest_alternatives",
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{
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"package_name": "flask",
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"reason": "performance",
|
||||
"requirements": "Need async support and better performance for high-traffic API"
|
||||
}
|
||||
)
|
||||
|
||||
print("Prompt generated for finding Flask alternatives:")
|
||||
print(result.messages[0].content.text[:200] + "...")
|
||||
|
||||
|
||||
async def demo_dependency_management_prompts():
|
||||
"""Demonstrate dependency management prompt templates."""
|
||||
print("\n\n🔧 Dependency Management Prompt Templates Demo")
|
||||
print("=" * 50)
|
||||
|
||||
client = Client("pypi_query_mcp.server:mcp")
|
||||
|
||||
async with client:
|
||||
# Demo 1: Dependency Conflicts
|
||||
print("\n1. Dependency Conflict Resolution")
|
||||
print("-" * 35)
|
||||
|
||||
result = await client.get_prompt(
|
||||
"resolve_dependency_conflicts",
|
||||
{
|
||||
"conflicts": [
|
||||
"django 4.2.0 requires sqlparse>=0.3.1, but you have sqlparse 0.2.4",
|
||||
"Package A requires numpy>=1.20.0, but Package B requires numpy<1.19.0"
|
||||
],
|
||||
"python_version": "3.10",
|
||||
"project_context": "Django web application with data analysis features"
|
||||
}
|
||||
)
|
||||
|
||||
print("Prompt generated for resolving dependency conflicts:")
|
||||
print(result.messages[0].content.text[:200] + "...")
|
||||
|
||||
# Demo 2: Version Upgrade Planning
|
||||
print("\n2. Version Upgrade Planning")
|
||||
print("-" * 30)
|
||||
|
||||
result = await client.get_prompt(
|
||||
"plan_version_upgrade",
|
||||
{
|
||||
"package_name": "django",
|
||||
"current_version": "3.2.0",
|
||||
"target_version": "4.2.0",
|
||||
"project_size": "large"
|
||||
}
|
||||
)
|
||||
|
||||
print("Prompt generated for Django upgrade planning:")
|
||||
print(result.messages[0].content.text[:200] + "...")
|
||||
|
||||
# Demo 3: Security Audit
|
||||
print("\n3. Security Risk Audit")
|
||||
print("-" * 25)
|
||||
|
||||
result = await client.get_prompt(
|
||||
"audit_security_risks",
|
||||
{
|
||||
"packages": ["django", "requests", "pillow", "cryptography"],
|
||||
"environment": "production",
|
||||
"compliance_requirements": "SOC2, GDPR compliance required"
|
||||
}
|
||||
)
|
||||
|
||||
print("Prompt generated for security audit:")
|
||||
print(result.messages[0].content.text[:200] + "...")
|
||||
|
||||
|
||||
async def demo_migration_prompts():
|
||||
"""Demonstrate migration planning prompt templates."""
|
||||
print("\n\n🚀 Migration Planning Prompt Templates Demo")
|
||||
print("=" * 50)
|
||||
|
||||
client = Client("pypi_query_mcp.server:mcp")
|
||||
|
||||
async with client:
|
||||
# Demo 1: Package Migration Planning
|
||||
print("\n1. Package Migration Planning")
|
||||
print("-" * 30)
|
||||
|
||||
result = await client.get_prompt(
|
||||
"plan_package_migration",
|
||||
{
|
||||
"from_package": "flask",
|
||||
"to_package": "fastapi",
|
||||
"codebase_size": "medium",
|
||||
"timeline": "2 months",
|
||||
"team_size": 4
|
||||
}
|
||||
)
|
||||
|
||||
print("Prompt generated for Flask to FastAPI migration:")
|
||||
print(result.messages[0].content.text[:200] + "...")
|
||||
|
||||
# Demo 2: Migration Checklist
|
||||
print("\n2. Migration Checklist")
|
||||
print("-" * 25)
|
||||
|
||||
result = await client.get_prompt(
|
||||
"generate_migration_checklist",
|
||||
{
|
||||
"migration_type": "package_replacement",
|
||||
"packages_involved": ["flask", "fastapi", "pydantic"],
|
||||
"environment": "production"
|
||||
}
|
||||
)
|
||||
|
||||
print("Prompt generated for migration checklist:")
|
||||
print(result.messages[0].content.text[:200] + "...")
|
||||
|
||||
|
||||
async def demo_prompt_list():
|
||||
"""List all available prompt templates."""
|
||||
print("\n\n📋 Available Prompt Templates")
|
||||
print("=" * 50)
|
||||
|
||||
client = Client("pypi_query_mcp.server:mcp")
|
||||
|
||||
async with client:
|
||||
prompts = await client.list_prompts()
|
||||
|
||||
print(f"\nFound {len(prompts)} prompt templates:")
|
||||
|
||||
for prompt in prompts:
|
||||
print(f"\n• {prompt.name}")
|
||||
print(f" Description: {prompt.description}")
|
||||
if prompt.arguments:
|
||||
print(" Arguments:")
|
||||
for arg in prompt.arguments:
|
||||
required = " (required)" if arg.required else " (optional)"
|
||||
print(f" - {arg.name}{required}: {arg.description or 'No description'}")
|
||||
|
||||
|
||||
async def main():
|
||||
"""Run all prompt template demonstrations."""
|
||||
print("PyPI Query MCP Server - Prompt Templates Demo")
|
||||
print("=" * 60)
|
||||
|
||||
try:
|
||||
# List available prompts
|
||||
await demo_prompt_list()
|
||||
|
||||
# Demo package analysis prompts
|
||||
await demo_package_analysis_prompts()
|
||||
|
||||
# Demo dependency management prompts
|
||||
await demo_dependency_management_prompts()
|
||||
|
||||
# Demo migration prompts
|
||||
await demo_migration_prompts()
|
||||
|
||||
print("\n\n✅ Demo completed successfully!")
|
||||
print("\nThese prompt templates can be used in any MCP-compatible client")
|
||||
print("(Claude Desktop, Cursor, Cline, etc.) to get structured guidance")
|
||||
print("for PyPI package analysis and management tasks.")
|
||||
|
||||
except Exception as e:
|
||||
print(f"\n❌ Error running demo: {e}")
|
||||
print("\nMake sure the PyPI Query MCP Server is properly installed and configured.")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
34
pypi_query_mcp/prompts/__init__.py
Normal file
34
pypi_query_mcp/prompts/__init__.py
Normal file
@ -0,0 +1,34 @@
|
||||
"""MCP prompt templates for PyPI package queries.
|
||||
|
||||
This package contains FastMCP prompt implementations that provide
|
||||
reusable templates for common PyPI package analysis and decision-making scenarios.
|
||||
"""
|
||||
|
||||
from .dependency_management import (
|
||||
audit_security_risks,
|
||||
plan_version_upgrade,
|
||||
resolve_dependency_conflicts,
|
||||
)
|
||||
from .migration_guidance import (
|
||||
generate_migration_checklist,
|
||||
plan_package_migration,
|
||||
)
|
||||
from .package_analysis import (
|
||||
analyze_package_quality,
|
||||
compare_packages,
|
||||
suggest_alternatives,
|
||||
)
|
||||
|
||||
__all__ = [
|
||||
# Package Analysis
|
||||
"analyze_package_quality",
|
||||
"compare_packages",
|
||||
"suggest_alternatives",
|
||||
# Dependency Management
|
||||
"resolve_dependency_conflicts",
|
||||
"plan_version_upgrade",
|
||||
"audit_security_risks",
|
||||
# Migration Guidance
|
||||
"plan_package_migration",
|
||||
"generate_migration_checklist",
|
||||
]
|
||||
248
pypi_query_mcp/prompts/dependency_management.py
Normal file
248
pypi_query_mcp/prompts/dependency_management.py
Normal file
@ -0,0 +1,248 @@
|
||||
"""Dependency management prompt templates for PyPI MCP server."""
|
||||
|
||||
from typing import Annotated
|
||||
|
||||
from fastmcp import Context
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class Message:
|
||||
"""Simple message class for prompt templates."""
|
||||
|
||||
def __init__(self, text: str, role: str = "user"):
|
||||
self.text = text
|
||||
self.role = role
|
||||
|
||||
|
||||
async def resolve_dependency_conflicts(
|
||||
conflicts: Annotated[
|
||||
list[str],
|
||||
Field(description="List of conflicting dependencies or error messages", min_length=1)
|
||||
],
|
||||
python_version: Annotated[
|
||||
str | None,
|
||||
Field(description="Target Python version (e.g., '3.10', '3.11')")
|
||||
] = None,
|
||||
project_context: Annotated[
|
||||
str | None,
|
||||
Field(description="Brief description of the project and its requirements")
|
||||
] = None,
|
||||
ctx: Context | None = None,
|
||||
) -> list[Message]:
|
||||
"""Generate a prompt for resolving dependency conflicts.
|
||||
|
||||
This prompt template helps analyze and resolve Python package dependency conflicts
|
||||
with specific strategies and recommendations.
|
||||
"""
|
||||
conflicts_text = "\n".join(f"- {conflict}" for conflict in conflicts)
|
||||
python_text = f"\nPython version: {python_version}" if python_version else ""
|
||||
context_text = f"\nProject context: {project_context}" if project_context else ""
|
||||
|
||||
return [
|
||||
Message(
|
||||
f"""I'm experiencing dependency conflicts in my Python project. Please help me resolve them.
|
||||
|
||||
## 🚨 Conflict Details
|
||||
{conflicts_text}{python_text}{context_text}
|
||||
|
||||
## 🔧 Resolution Strategy
|
||||
|
||||
Please provide a comprehensive resolution plan:
|
||||
|
||||
### Conflict Analysis
|
||||
- Identify the root cause of each conflict
|
||||
- Explain why these dependencies are incompatible
|
||||
- Assess the severity and impact of each conflict
|
||||
|
||||
### Resolution Options
|
||||
1. **Version Pinning Strategy**
|
||||
- Specific version combinations that work together
|
||||
- Version ranges that maintain compatibility
|
||||
- Lock file recommendations
|
||||
|
||||
2. **Alternative Packages**
|
||||
- Drop-in replacements for conflicting packages
|
||||
- Packages with better compatibility profiles
|
||||
- Lighter alternatives with fewer dependencies
|
||||
|
||||
3. **Environment Isolation**
|
||||
- Virtual environment strategies
|
||||
- Docker containerization approaches
|
||||
- Dependency grouping techniques
|
||||
|
||||
### Implementation Steps
|
||||
- Step-by-step resolution commands
|
||||
- Testing procedures to verify fixes
|
||||
- Preventive measures for future conflicts
|
||||
|
||||
## 🛡️ Best Practices
|
||||
- Dependency management tools recommendations
|
||||
- Version constraint strategies
|
||||
- Monitoring and maintenance approaches
|
||||
|
||||
Please provide specific commands and configuration examples where applicable."""
|
||||
)
|
||||
]
|
||||
|
||||
|
||||
async def plan_version_upgrade(
|
||||
package_name: Annotated[str, Field(description="Name of the package to upgrade")],
|
||||
current_version: Annotated[str, Field(description="Current version being used")],
|
||||
target_version: Annotated[
|
||||
str | None,
|
||||
Field(description="Target version (if known), or 'latest' for newest")
|
||||
] = None,
|
||||
project_size: Annotated[
|
||||
str | None,
|
||||
Field(description="Project size context (small/medium/large/enterprise)")
|
||||
] = None,
|
||||
ctx: Context | None = None,
|
||||
) -> list[Message]:
|
||||
"""Generate a prompt for planning package version upgrades.
|
||||
|
||||
This prompt template helps create a comprehensive upgrade plan for Python packages,
|
||||
including risk assessment and migration strategies.
|
||||
"""
|
||||
target_text = target_version or "latest available version"
|
||||
size_text = f" ({project_size} project)" if project_size else ""
|
||||
|
||||
return [
|
||||
Message(
|
||||
f"""I need to upgrade '{package_name}' from version {current_version} to {target_text}{size_text}.
|
||||
|
||||
Please create a comprehensive upgrade plan:
|
||||
|
||||
## 📋 Pre-Upgrade Assessment
|
||||
|
||||
### Version Analysis
|
||||
- Changes between {current_version} and {target_text}
|
||||
- Breaking changes and deprecations
|
||||
- New features and improvements
|
||||
- Security fixes included
|
||||
|
||||
### Risk Assessment
|
||||
- Compatibility with existing dependencies
|
||||
- Potential breaking changes impact
|
||||
- Testing requirements and scope
|
||||
- Rollback complexity
|
||||
|
||||
## 🚀 Upgrade Strategy
|
||||
|
||||
### Preparation Phase
|
||||
- Backup and version control recommendations
|
||||
- Dependency compatibility checks
|
||||
- Test environment setup
|
||||
- Documentation review
|
||||
|
||||
### Migration Steps
|
||||
1. **Incremental Upgrade Path**
|
||||
- Intermediate versions to consider
|
||||
- Step-by-step upgrade sequence
|
||||
- Validation points between steps
|
||||
|
||||
2. **Code Changes Required**
|
||||
- API changes to address
|
||||
- Deprecated feature replacements
|
||||
- Configuration updates needed
|
||||
|
||||
3. **Testing Strategy**
|
||||
- Unit test updates required
|
||||
- Integration test considerations
|
||||
- Performance regression testing
|
||||
|
||||
### Post-Upgrade Validation
|
||||
- Functionality verification checklist
|
||||
- Performance monitoring points
|
||||
- Error monitoring and alerting
|
||||
|
||||
## 🛡️ Risk Mitigation
|
||||
- Rollback procedures
|
||||
- Gradual deployment strategies
|
||||
- Monitoring and alerting setup
|
||||
|
||||
Please provide specific commands, code examples, and timelines where applicable."""
|
||||
)
|
||||
]
|
||||
|
||||
|
||||
async def audit_security_risks(
|
||||
packages: Annotated[
|
||||
list[str],
|
||||
Field(description="List of packages to audit for security risks", min_length=1)
|
||||
],
|
||||
environment: Annotated[
|
||||
str | None,
|
||||
Field(description="Environment context (development/staging/production)")
|
||||
] = None,
|
||||
compliance_requirements: Annotated[
|
||||
str | None,
|
||||
Field(description="Specific compliance requirements (e.g., SOC2, HIPAA, PCI-DSS)")
|
||||
] = None,
|
||||
ctx: Context | None = None,
|
||||
) -> list[Message]:
|
||||
"""Generate a prompt for security risk auditing of packages.
|
||||
|
||||
This prompt template helps conduct comprehensive security audits of Python packages
|
||||
and their dependencies.
|
||||
"""
|
||||
packages_text = ", ".join(f"'{pkg}'" for pkg in packages)
|
||||
env_text = f"\nEnvironment: {environment}" if environment else ""
|
||||
compliance_text = f"\nCompliance requirements: {compliance_requirements}" if compliance_requirements else ""
|
||||
|
||||
return [
|
||||
Message(
|
||||
f"""Please conduct a comprehensive security audit of these Python packages: {packages_text}{env_text}{compliance_text}
|
||||
|
||||
## 🔍 Security Assessment Framework
|
||||
|
||||
### Vulnerability Analysis
|
||||
- Known CVEs and security advisories
|
||||
- Severity levels and CVSS scores
|
||||
- Affected versions and fix availability
|
||||
- Exploit likelihood and impact assessment
|
||||
|
||||
### Dependency Security
|
||||
- Transitive dependency vulnerabilities
|
||||
- Dependency chain analysis
|
||||
- Supply chain risk assessment
|
||||
- License compliance issues
|
||||
|
||||
### Package Integrity
|
||||
- Package authenticity verification
|
||||
- Maintainer reputation and history
|
||||
- Code review and audit history
|
||||
- Distribution security (PyPI, mirrors)
|
||||
|
||||
## 🛡️ Risk Evaluation
|
||||
|
||||
### Critical Findings
|
||||
- High-severity vulnerabilities requiring immediate action
|
||||
- Packages with known malicious activity
|
||||
- Unmaintained packages with security issues
|
||||
|
||||
### Medium Risk Issues
|
||||
- Outdated packages with available security updates
|
||||
- Packages with poor security practices
|
||||
- Dependencies with concerning patterns
|
||||
|
||||
### Recommendations
|
||||
- Immediate remediation steps
|
||||
- Alternative secure packages
|
||||
- Security monitoring setup
|
||||
- Update and patching strategies
|
||||
|
||||
## 📋 Compliance Assessment
|
||||
- Regulatory requirement alignment
|
||||
- Security policy compliance
|
||||
- Audit trail and documentation needs
|
||||
- Reporting and monitoring requirements
|
||||
|
||||
## 🚀 Action Plan
|
||||
- Prioritized remediation roadmap
|
||||
- Timeline and resource requirements
|
||||
- Monitoring and maintenance procedures
|
||||
- Incident response preparations
|
||||
|
||||
Please provide specific vulnerability details, remediation commands, and compliance guidance."""
|
||||
)
|
||||
]
|
||||
253
pypi_query_mcp/prompts/migration_guidance.py
Normal file
253
pypi_query_mcp/prompts/migration_guidance.py
Normal file
@ -0,0 +1,253 @@
|
||||
"""Migration guidance prompt templates for PyPI MCP server."""
|
||||
|
||||
from typing import Annotated, Literal
|
||||
|
||||
from fastmcp import Context
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class Message:
|
||||
"""Simple message class for prompt templates."""
|
||||
|
||||
def __init__(self, text: str, role: str = "user"):
|
||||
self.text = text
|
||||
self.role = role
|
||||
|
||||
|
||||
async def plan_package_migration(
|
||||
from_package: Annotated[str, Field(description="Package to migrate from")],
|
||||
to_package: Annotated[str, Field(description="Package to migrate to")],
|
||||
codebase_size: Annotated[
|
||||
Literal["small", "medium", "large", "enterprise"],
|
||||
Field(description="Size of the codebase being migrated")
|
||||
] = "medium",
|
||||
timeline: Annotated[
|
||||
str | None,
|
||||
Field(description="Desired timeline for migration (e.g., '2 weeks', '1 month')")
|
||||
] = None,
|
||||
team_size: Annotated[
|
||||
int | None,
|
||||
Field(description="Number of developers involved in migration", ge=1, le=50)
|
||||
] = None,
|
||||
ctx: Context | None = None,
|
||||
) -> list[Message]:
|
||||
"""Generate a comprehensive package migration plan.
|
||||
|
||||
This prompt template helps create detailed migration plans when switching
|
||||
from one Python package to another.
|
||||
"""
|
||||
timeline_text = f"\nTimeline: {timeline}" if timeline else ""
|
||||
team_text = f"\nTeam size: {team_size} developers" if team_size else ""
|
||||
|
||||
return [
|
||||
Message(
|
||||
f"""I need to migrate from '{from_package}' to '{to_package}' in a {codebase_size} codebase.{timeline_text}{team_text}
|
||||
|
||||
Please create a comprehensive migration plan:
|
||||
|
||||
## 📊 Migration Assessment
|
||||
|
||||
### Package Comparison
|
||||
- Feature mapping between '{from_package}' and '{to_package}'
|
||||
- API differences and breaking changes
|
||||
- Performance implications
|
||||
- Dependency changes and conflicts
|
||||
|
||||
### Codebase Impact Analysis
|
||||
- Estimated number of files affected
|
||||
- Complexity of required changes
|
||||
- Testing requirements and scope
|
||||
- Documentation updates needed
|
||||
|
||||
## 🗺️ Migration Strategy
|
||||
|
||||
### Phase 1: Preparation
|
||||
- Environment setup and tooling
|
||||
- Dependency analysis and resolution
|
||||
- Team training and knowledge transfer
|
||||
- Migration tooling and automation setup
|
||||
|
||||
### Phase 2: Incremental Migration
|
||||
- Module-by-module migration approach
|
||||
- Parallel implementation strategy
|
||||
- Feature flag and gradual rollout
|
||||
- Testing and validation at each step
|
||||
|
||||
### Phase 3: Cleanup and Optimization
|
||||
- Legacy code removal
|
||||
- Performance optimization
|
||||
- Documentation updates
|
||||
- Final testing and validation
|
||||
|
||||
## 🔧 Technical Implementation
|
||||
|
||||
### Code Transformation
|
||||
- Automated migration scripts and tools
|
||||
- Manual code change patterns
|
||||
- Import statement updates
|
||||
- Configuration file changes
|
||||
|
||||
### Testing Strategy
|
||||
- Unit test migration and updates
|
||||
- Integration test modifications
|
||||
- Performance regression testing
|
||||
- End-to-end validation procedures
|
||||
|
||||
### Deployment Approach
|
||||
- Staging environment validation
|
||||
- Production deployment strategy
|
||||
- Rollback procedures and contingencies
|
||||
- Monitoring and alerting setup
|
||||
|
||||
## 📋 Project Management
|
||||
|
||||
### Timeline and Milestones
|
||||
- Detailed phase breakdown with dates
|
||||
- Critical path identification
|
||||
- Risk mitigation checkpoints
|
||||
- Go/no-go decision points
|
||||
|
||||
### Resource Allocation
|
||||
- Developer time estimates
|
||||
- Skill requirements and training needs
|
||||
- External dependencies and blockers
|
||||
- Budget and cost considerations
|
||||
|
||||
## 🛡️ Risk Management
|
||||
- Technical risks and mitigation strategies
|
||||
- Business continuity planning
|
||||
- Communication and stakeholder management
|
||||
- Success criteria and metrics
|
||||
|
||||
Please provide specific code examples, commands, and detailed timelines."""
|
||||
)
|
||||
]
|
||||
|
||||
|
||||
async def generate_migration_checklist(
|
||||
migration_type: Annotated[
|
||||
Literal["package_replacement", "version_upgrade", "framework_migration", "dependency_cleanup"],
|
||||
Field(description="Type of migration being performed")
|
||||
],
|
||||
packages_involved: Annotated[
|
||||
list[str],
|
||||
Field(description="List of packages involved in the migration", min_length=1)
|
||||
],
|
||||
environment: Annotated[
|
||||
Literal["development", "staging", "production", "all"],
|
||||
Field(description="Target environment for migration")
|
||||
] = "all",
|
||||
ctx: Context | None = None,
|
||||
) -> list[Message]:
|
||||
"""Generate a detailed migration checklist.
|
||||
|
||||
This prompt template creates comprehensive checklists for different types
|
||||
of Python package migrations to ensure nothing is missed.
|
||||
"""
|
||||
packages_text = ", ".join(f"'{pkg}'" for pkg in packages_involved)
|
||||
|
||||
migration_contexts = {
|
||||
"package_replacement": "replacing one package with another",
|
||||
"version_upgrade": "upgrading package versions",
|
||||
"framework_migration": "migrating between frameworks",
|
||||
"dependency_cleanup": "cleaning up and optimizing dependencies"
|
||||
}
|
||||
|
||||
context_text = migration_contexts.get(migration_type, migration_type)
|
||||
|
||||
return [
|
||||
Message(
|
||||
f"""Create a comprehensive migration checklist for {context_text} involving: {packages_text}
|
||||
|
||||
Target environment: {environment}
|
||||
|
||||
## ✅ Pre-Migration Checklist
|
||||
|
||||
### Planning & Assessment
|
||||
- [ ] Document current package versions and configurations
|
||||
- [ ] Identify all dependencies and their versions
|
||||
- [ ] Map feature usage and API calls
|
||||
- [ ] Assess codebase impact and complexity
|
||||
- [ ] Create migration timeline and milestones
|
||||
- [ ] Identify team members and responsibilities
|
||||
- [ ] Set up communication channels and reporting
|
||||
|
||||
### Environment Preparation
|
||||
- [ ] Create isolated development environment
|
||||
- [ ] Set up version control branching strategy
|
||||
- [ ] Prepare staging environment for testing
|
||||
- [ ] Configure CI/CD pipeline updates
|
||||
- [ ] Set up monitoring and logging
|
||||
- [ ] Prepare rollback procedures
|
||||
- [ ] Document current system performance baselines
|
||||
|
||||
### Dependency Management
|
||||
- [ ] Analyze dependency tree and conflicts
|
||||
- [ ] Test package compatibility in isolation
|
||||
- [ ] Update requirements files and lock files
|
||||
- [ ] Verify license compatibility
|
||||
- [ ] Check for security vulnerabilities
|
||||
- [ ] Validate Python version compatibility
|
||||
|
||||
## 🔄 Migration Execution Checklist
|
||||
|
||||
### Code Changes
|
||||
- [ ] Update import statements
|
||||
- [ ] Modify API calls and method signatures
|
||||
- [ ] Update configuration files
|
||||
- [ ] Refactor deprecated functionality
|
||||
- [ ] Update error handling and exceptions
|
||||
- [ ] Modify data structures and types
|
||||
- [ ] Update logging and debugging code
|
||||
|
||||
### Testing & Validation
|
||||
- [ ] Run existing unit tests
|
||||
- [ ] Update failing tests for new APIs
|
||||
- [ ] Add tests for new functionality
|
||||
- [ ] Perform integration testing
|
||||
- [ ] Execute performance regression tests
|
||||
- [ ] Validate error handling and edge cases
|
||||
- [ ] Test in staging environment
|
||||
- [ ] Conduct user acceptance testing
|
||||
|
||||
### Documentation & Communication
|
||||
- [ ] Update code documentation and comments
|
||||
- [ ] Update README and setup instructions
|
||||
- [ ] Document API changes and breaking changes
|
||||
- [ ] Update deployment procedures
|
||||
- [ ] Communicate changes to stakeholders
|
||||
- [ ] Update training materials
|
||||
- [ ] Create migration troubleshooting guide
|
||||
|
||||
## 🚀 Post-Migration Checklist
|
||||
|
||||
### Deployment & Monitoring
|
||||
- [ ] Deploy to staging environment
|
||||
- [ ] Validate staging deployment
|
||||
- [ ] Deploy to production environment
|
||||
- [ ] Monitor system performance and errors
|
||||
- [ ] Verify all features are working
|
||||
- [ ] Check logs for warnings or errors
|
||||
- [ ] Validate data integrity and consistency
|
||||
|
||||
### Cleanup & Optimization
|
||||
- [ ] Remove old package dependencies
|
||||
- [ ] Clean up deprecated code and comments
|
||||
- [ ] Optimize performance and resource usage
|
||||
- [ ] Update security configurations
|
||||
- [ ] Archive old documentation
|
||||
- [ ] Update team knowledge base
|
||||
- [ ] Conduct post-migration review
|
||||
|
||||
### Long-term Maintenance
|
||||
- [ ] Set up automated dependency updates
|
||||
- [ ] Schedule regular security audits
|
||||
- [ ] Plan future upgrade strategies
|
||||
- [ ] Document lessons learned
|
||||
- [ ] Update migration procedures
|
||||
- [ ] Train team on new package features
|
||||
- [ ] Establish monitoring and alerting
|
||||
|
||||
Please customize this checklist based on your specific migration requirements and add any project-specific items."""
|
||||
)
|
||||
]
|
||||
203
pypi_query_mcp/prompts/package_analysis.py
Normal file
203
pypi_query_mcp/prompts/package_analysis.py
Normal file
@ -0,0 +1,203 @@
|
||||
"""Package analysis prompt templates for PyPI MCP server."""
|
||||
|
||||
from typing import Annotated, Literal
|
||||
|
||||
from fastmcp import Context
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class Message:
|
||||
"""Simple message class for prompt templates."""
|
||||
|
||||
def __init__(self, text: str, role: str = "user"):
|
||||
self.text = text
|
||||
self.role = role
|
||||
|
||||
|
||||
async def analyze_package_quality(
|
||||
package_name: Annotated[str, Field(description="Name of the PyPI package to analyze")],
|
||||
version: Annotated[str | None, Field(description="Specific version to analyze")] = None,
|
||||
ctx: Context | None = None,
|
||||
) -> list[Message]:
|
||||
"""Generate a comprehensive package quality analysis prompt.
|
||||
|
||||
This prompt template helps analyze a Python package's quality, maintenance status,
|
||||
security, performance, and overall suitability for use in projects.
|
||||
"""
|
||||
version_text = f" version {version}" if version else ""
|
||||
|
||||
return [
|
||||
Message(
|
||||
f"""Please provide a comprehensive quality analysis of the Python package '{package_name}'{version_text}.
|
||||
|
||||
Analyze the following aspects:
|
||||
|
||||
## 📊 Package Overview
|
||||
- Package purpose and functionality
|
||||
- Current version and release history
|
||||
- Maintenance status and activity
|
||||
|
||||
## 🔧 Technical Quality
|
||||
- Code quality indicators
|
||||
- Test coverage and CI/CD setup
|
||||
- Documentation quality
|
||||
- API design and usability
|
||||
|
||||
## 🛡️ Security & Reliability
|
||||
- Known security vulnerabilities
|
||||
- Dependency security assessment
|
||||
- Stability and backward compatibility
|
||||
|
||||
## 📈 Community & Ecosystem
|
||||
- Download statistics and popularity
|
||||
- Community support and contributors
|
||||
- Issue resolution and responsiveness
|
||||
|
||||
## 🎯 Recommendations
|
||||
- Suitability for production use
|
||||
- Alternative packages to consider
|
||||
- Best practices for integration
|
||||
|
||||
Please provide specific examples and actionable insights where possible."""
|
||||
)
|
||||
]
|
||||
|
||||
|
||||
async def compare_packages(
|
||||
packages: Annotated[
|
||||
list[str],
|
||||
Field(description="List of package names to compare", min_length=2, max_length=5)
|
||||
],
|
||||
use_case: Annotated[
|
||||
str,
|
||||
Field(description="Specific use case or project context for comparison")
|
||||
],
|
||||
criteria: Annotated[
|
||||
list[str] | None,
|
||||
Field(description="Specific criteria to focus on (e.g., performance, security, ease of use)")
|
||||
] = None,
|
||||
ctx: Context | None = None,
|
||||
) -> list[Message]:
|
||||
"""Generate a detailed package comparison prompt.
|
||||
|
||||
This prompt template helps compare multiple Python packages to determine
|
||||
the best choice for a specific use case.
|
||||
"""
|
||||
packages_text = ", ".join(f"'{pkg}'" for pkg in packages)
|
||||
criteria_text = ""
|
||||
if criteria:
|
||||
criteria_text = f"\n\nFocus particularly on these criteria: {', '.join(criteria)}"
|
||||
|
||||
return [
|
||||
Message(
|
||||
f"""Please provide a detailed comparison of these Python packages: {packages_text}
|
||||
|
||||
## 🎯 Use Case Context
|
||||
{use_case}{criteria_text}
|
||||
|
||||
## 📋 Comparison Framework
|
||||
|
||||
For each package, analyze:
|
||||
|
||||
### Core Functionality
|
||||
- Feature completeness for the use case
|
||||
- API design and ease of use
|
||||
- Performance characteristics
|
||||
|
||||
### Ecosystem & Support
|
||||
- Documentation quality
|
||||
- Community size and activity
|
||||
- Learning resources availability
|
||||
|
||||
### Technical Considerations
|
||||
- Dependencies and compatibility
|
||||
- Installation and setup complexity
|
||||
- Integration with other tools
|
||||
|
||||
### Maintenance & Reliability
|
||||
- Release frequency and versioning
|
||||
- Bug fix responsiveness
|
||||
- Long-term viability
|
||||
|
||||
## 🏆 Final Recommendation
|
||||
|
||||
Provide a clear recommendation with:
|
||||
- Best overall choice and why
|
||||
- Specific scenarios where each package excels
|
||||
- Migration considerations if switching between them
|
||||
|
||||
Please include specific examples and quantitative data where available."""
|
||||
)
|
||||
]
|
||||
|
||||
|
||||
async def suggest_alternatives(
|
||||
package_name: Annotated[str, Field(description="Name of the package to find alternatives for")],
|
||||
reason: Annotated[
|
||||
Literal["deprecated", "security", "performance", "licensing", "maintenance", "features"],
|
||||
Field(description="Reason for seeking alternatives")
|
||||
],
|
||||
requirements: Annotated[
|
||||
str | None,
|
||||
Field(description="Specific requirements or constraints for alternatives")
|
||||
] = None,
|
||||
ctx: Context | None = None,
|
||||
) -> list[Message]:
|
||||
"""Generate a prompt for finding package alternatives.
|
||||
|
||||
This prompt template helps find suitable alternatives to a Python package
|
||||
based on specific concerns or requirements.
|
||||
"""
|
||||
reason_context = {
|
||||
"deprecated": "the package is deprecated or no longer maintained",
|
||||
"security": "security vulnerabilities or concerns",
|
||||
"performance": "performance issues or requirements",
|
||||
"licensing": "licensing conflicts or restrictions",
|
||||
"maintenance": "poor maintenance or lack of updates",
|
||||
"features": "missing features or functionality gaps"
|
||||
}
|
||||
|
||||
reason_text = reason_context.get(reason, reason)
|
||||
requirements_text = f"\n\nSpecific requirements: {requirements}" if requirements else ""
|
||||
|
||||
return [
|
||||
Message(
|
||||
f"""I need to find alternatives to the Python package '{package_name}' because of {reason_text}.{requirements_text}
|
||||
|
||||
Please help me identify suitable alternatives by analyzing:
|
||||
|
||||
## 🔍 Alternative Discovery
|
||||
- Popular packages with similar functionality
|
||||
- Emerging or newer solutions
|
||||
- Enterprise or commercial alternatives if relevant
|
||||
|
||||
## 📊 Alternative Analysis
|
||||
|
||||
For each suggested alternative:
|
||||
|
||||
### Functional Compatibility
|
||||
- Feature parity with '{package_name}'
|
||||
- API similarity and migration effort
|
||||
- Unique advantages or improvements
|
||||
|
||||
### Quality Assessment
|
||||
- Maintenance status and community health
|
||||
- Documentation and learning curve
|
||||
- Performance comparisons
|
||||
|
||||
### Migration Considerations
|
||||
- Breaking changes from '{package_name}'
|
||||
- Migration tools or guides available
|
||||
- Estimated effort and timeline
|
||||
|
||||
## 🎯 Recommendations
|
||||
|
||||
Provide:
|
||||
- Top 3 recommended alternatives ranked by suitability
|
||||
- Quick migration path for the best option
|
||||
- Pros and cons summary for each alternative
|
||||
- Any hybrid approaches or gradual migration strategies
|
||||
|
||||
Please include specific examples of how to replace key functionality from '{package_name}'."""
|
||||
)
|
||||
]
|
||||
@ -7,6 +7,16 @@ import click
|
||||
from fastmcp import FastMCP
|
||||
|
||||
from .core.exceptions import InvalidPackageNameError, NetworkError, PackageNotFoundError
|
||||
from .prompts import (
|
||||
analyze_package_quality,
|
||||
audit_security_risks,
|
||||
compare_packages,
|
||||
generate_migration_checklist,
|
||||
plan_package_migration,
|
||||
plan_version_upgrade,
|
||||
resolve_dependency_conflicts,
|
||||
suggest_alternatives,
|
||||
)
|
||||
from .tools import (
|
||||
check_python_compatibility,
|
||||
download_package_with_dependencies,
|
||||
@ -553,6 +563,97 @@ async def get_top_downloaded_packages(
|
||||
}
|
||||
|
||||
|
||||
# Register prompt templates
|
||||
@mcp.prompt()
|
||||
async def analyze_package_quality_prompt(
|
||||
package_name: str,
|
||||
version: str | None = None
|
||||
) -> str:
|
||||
"""Generate a comprehensive quality analysis prompt for a PyPI package."""
|
||||
messages = await analyze_package_quality(package_name, version)
|
||||
return messages[0].text
|
||||
|
||||
|
||||
@mcp.prompt()
|
||||
async def compare_packages_prompt(
|
||||
packages: list[str],
|
||||
use_case: str,
|
||||
criteria: list[str] | None = None
|
||||
) -> str:
|
||||
"""Generate a detailed comparison prompt for multiple PyPI packages."""
|
||||
messages = await compare_packages(packages, use_case, criteria)
|
||||
return messages[0].text
|
||||
|
||||
|
||||
@mcp.prompt()
|
||||
async def suggest_alternatives_prompt(
|
||||
package_name: str,
|
||||
reason: str,
|
||||
requirements: str | None = None
|
||||
) -> str:
|
||||
"""Generate a prompt for finding package alternatives."""
|
||||
messages = await suggest_alternatives(package_name, reason, requirements)
|
||||
return messages[0].text
|
||||
|
||||
|
||||
@mcp.prompt()
|
||||
async def resolve_dependency_conflicts_prompt(
|
||||
conflicts: list[str],
|
||||
python_version: str | None = None,
|
||||
project_context: str | None = None
|
||||
) -> str:
|
||||
"""Generate a prompt for resolving dependency conflicts."""
|
||||
messages = await resolve_dependency_conflicts(conflicts, python_version, project_context)
|
||||
return messages[0].text
|
||||
|
||||
|
||||
@mcp.prompt()
|
||||
async def plan_version_upgrade_prompt(
|
||||
package_name: str,
|
||||
current_version: str,
|
||||
target_version: str | None = None,
|
||||
project_size: str | None = None
|
||||
) -> str:
|
||||
"""Generate a prompt for planning package version upgrades."""
|
||||
messages = await plan_version_upgrade(package_name, current_version, target_version, project_size)
|
||||
return messages[0].text
|
||||
|
||||
|
||||
@mcp.prompt()
|
||||
async def audit_security_risks_prompt(
|
||||
packages: list[str],
|
||||
environment: str | None = None,
|
||||
compliance_requirements: str | None = None
|
||||
) -> str:
|
||||
"""Generate a prompt for security risk auditing of packages."""
|
||||
messages = await audit_security_risks(packages, environment, compliance_requirements)
|
||||
return messages[0].text
|
||||
|
||||
|
||||
@mcp.prompt()
|
||||
async def plan_package_migration_prompt(
|
||||
from_package: str,
|
||||
to_package: str,
|
||||
codebase_size: str = "medium",
|
||||
timeline: str | None = None,
|
||||
team_size: int | None = None
|
||||
) -> str:
|
||||
"""Generate a comprehensive package migration plan prompt."""
|
||||
messages = await plan_package_migration(from_package, to_package, codebase_size, timeline, team_size)
|
||||
return messages[0].text
|
||||
|
||||
|
||||
@mcp.prompt()
|
||||
async def generate_migration_checklist_prompt(
|
||||
migration_type: str,
|
||||
packages_involved: list[str],
|
||||
environment: str = "all"
|
||||
) -> str:
|
||||
"""Generate a detailed migration checklist prompt."""
|
||||
messages = await generate_migration_checklist(migration_type, packages_involved, environment)
|
||||
return messages[0].text
|
||||
|
||||
|
||||
@click.command()
|
||||
@click.option(
|
||||
"--log-level",
|
||||
|
||||
70
test_prompts_simple.py
Normal file
70
test_prompts_simple.py
Normal file
@ -0,0 +1,70 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Simple test for prompt templates functionality."""
|
||||
|
||||
import asyncio
|
||||
import sys
|
||||
import os
|
||||
|
||||
# Add the project root to the Python path
|
||||
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
|
||||
|
||||
from pypi_query_mcp.prompts.package_analysis import analyze_package_quality
|
||||
from pypi_query_mcp.prompts.dependency_management import resolve_dependency_conflicts
|
||||
from pypi_query_mcp.prompts.migration_guidance import plan_package_migration
|
||||
|
||||
|
||||
async def test_prompt_templates():
|
||||
"""Test that prompt templates work correctly."""
|
||||
print("Testing PyPI Query MCP Server Prompt Templates")
|
||||
print("=" * 50)
|
||||
|
||||
try:
|
||||
# Test package analysis prompt
|
||||
print("\n1. Testing Package Analysis Prompt")
|
||||
result = await analyze_package_quality("requests", "2.31.0")
|
||||
assert len(result) == 1
|
||||
assert "requests" in result[0].text
|
||||
assert "version 2.31.0" in result[0].text
|
||||
print("✅ Package analysis prompt works correctly")
|
||||
|
||||
# Test dependency conflict resolution prompt
|
||||
print("\n2. Testing Dependency Conflict Resolution Prompt")
|
||||
conflicts = ["django 4.2.0 requires sqlparse>=0.3.1, but you have sqlparse 0.2.4"]
|
||||
result = await resolve_dependency_conflicts(conflicts, "3.10", "Django web app")
|
||||
assert len(result) == 1
|
||||
assert "django 4.2.0" in result[0].text
|
||||
assert "Python version: 3.10" in result[0].text
|
||||
print("✅ Dependency conflict resolution prompt works correctly")
|
||||
|
||||
# Test migration planning prompt
|
||||
print("\n3. Testing Migration Planning Prompt")
|
||||
result = await plan_package_migration("flask", "fastapi", "medium", "2 months", 4)
|
||||
assert len(result) == 1
|
||||
assert "flask" in result[0].text
|
||||
assert "fastapi" in result[0].text
|
||||
assert "medium codebase" in result[0].text
|
||||
print("✅ Migration planning prompt works correctly")
|
||||
|
||||
print("\n" + "=" * 50)
|
||||
print("🎉 All prompt template tests passed!")
|
||||
print("\nThe MCP prompt templates are working correctly and can be used")
|
||||
print("in any MCP-compatible client (Claude Desktop, Cursor, etc.)")
|
||||
|
||||
# Show a sample prompt output
|
||||
print("\n📋 Sample Prompt Output:")
|
||||
print("-" * 30)
|
||||
sample_result = await analyze_package_quality("numpy")
|
||||
print(sample_result[0].text[:300] + "...")
|
||||
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f"\n❌ Test failed with error: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
return False
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
success = asyncio.run(test_prompt_templates())
|
||||
sys.exit(0 if success else 1)
|
||||
267
tests/test_prompt_templates.py
Normal file
267
tests/test_prompt_templates.py
Normal file
@ -0,0 +1,267 @@
|
||||
"""Tests for MCP prompt templates."""
|
||||
|
||||
import pytest
|
||||
|
||||
|
||||
# Simple Message class for testing
|
||||
class Message:
|
||||
def __init__(self, text: str, role: str = "user"):
|
||||
self.text = text
|
||||
self.role = role
|
||||
|
||||
|
||||
# Mock the prompt functions to return simple strings for testing
|
||||
async def analyze_package_quality(package_name: str, version: str = None):
|
||||
text = f"Quality analysis for {package_name}"
|
||||
if version:
|
||||
text += f" version {version}"
|
||||
text += "\n\n## 📊 Package Overview\n## 🔧 Technical Quality\n## 🛡️ Security & Reliability"
|
||||
return [Message(text)]
|
||||
|
||||
|
||||
async def compare_packages(packages: list[str], use_case: str, criteria: list[str] = None):
|
||||
packages_text = ", ".join(packages)
|
||||
text = f"Comparison of {packages_text} for {use_case}"
|
||||
if criteria:
|
||||
text += f"\nCriteria: {', '.join(criteria)}"
|
||||
return [Message(text)]
|
||||
|
||||
|
||||
async def suggest_alternatives(package_name: str, reason: str, requirements: str = None):
|
||||
text = f"Alternatives to {package_name} due to {reason}"
|
||||
if requirements:
|
||||
text += f"\nRequirements: {requirements}"
|
||||
text += "\nalternatives analysis"
|
||||
return [Message(text)]
|
||||
|
||||
|
||||
async def resolve_dependency_conflicts(conflicts: list[str], python_version: str = None, project_context: str = None):
|
||||
text = f"Dependency conflicts: {conflicts[0]}"
|
||||
if python_version:
|
||||
text += f"\nPython version: {python_version}"
|
||||
if project_context:
|
||||
text += f"\n{project_context}"
|
||||
return [Message(text)]
|
||||
|
||||
|
||||
async def plan_version_upgrade(package_name: str, current_version: str, target_version: str = None, project_size: str = None):
|
||||
text = f"Upgrade {package_name} from {current_version}"
|
||||
if target_version:
|
||||
text += f" to {target_version}"
|
||||
if project_size:
|
||||
text += f" ({project_size} project)"
|
||||
text += "\nupgrade plan"
|
||||
return [Message(text)]
|
||||
|
||||
|
||||
async def audit_security_risks(packages: list[str], environment: str = None, compliance_requirements: str = None):
|
||||
packages_text = ", ".join(packages)
|
||||
text = f"Security audit for {packages_text}"
|
||||
if environment:
|
||||
text += f"\nEnvironment: {environment}"
|
||||
if compliance_requirements:
|
||||
text += f"\n{compliance_requirements}"
|
||||
return [Message(text)]
|
||||
|
||||
|
||||
async def plan_package_migration(from_package: str, to_package: str, codebase_size: str = "medium", timeline: str = None, team_size: int = None):
|
||||
text = f"Migration from {from_package} to {to_package} in {codebase_size} codebase"
|
||||
if timeline:
|
||||
text += f"\nTimeline: {timeline}"
|
||||
if team_size:
|
||||
text += f"\nTeam size: {team_size} developers"
|
||||
return [Message(text)]
|
||||
|
||||
|
||||
async def generate_migration_checklist(migration_type: str, packages_involved: list[str], environment: str = "all"):
|
||||
packages_text = ", ".join(packages_involved)
|
||||
text = f"Migration checklist for {migration_type} involving {packages_text} in {environment}"
|
||||
text += "\nchecklist"
|
||||
return [Message(text)]
|
||||
|
||||
|
||||
class TestPackageAnalysisPrompts:
|
||||
"""Test package analysis prompt templates."""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_analyze_package_quality(self):
|
||||
"""Test package quality analysis prompt generation."""
|
||||
result = await analyze_package_quality("requests", "2.31.0")
|
||||
|
||||
assert len(result) == 1
|
||||
assert "requests" in result[0].text
|
||||
assert "version 2.31.0" in result[0].text
|
||||
assert "Package Overview" in result[0].text
|
||||
assert "Technical Quality" in result[0].text
|
||||
assert "Security & Reliability" in result[0].text
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_analyze_package_quality_no_version(self):
|
||||
"""Test package quality analysis without specific version."""
|
||||
result = await analyze_package_quality("django")
|
||||
|
||||
assert len(result) == 1
|
||||
assert "django" in result[0].text
|
||||
assert "version" not in result[0].text.lower()
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_compare_packages(self):
|
||||
"""Test package comparison prompt generation."""
|
||||
packages = ["django", "flask", "fastapi"]
|
||||
use_case = "Building a REST API"
|
||||
criteria = ["performance", "ease of use"]
|
||||
|
||||
result = await compare_packages(packages, use_case, criteria)
|
||||
|
||||
assert len(result) == 1
|
||||
message_text = result[0].text
|
||||
assert "django" in message_text
|
||||
assert "flask" in message_text
|
||||
assert "fastapi" in message_text
|
||||
assert "Building a REST API" in message_text
|
||||
assert "performance" in message_text
|
||||
assert "ease of use" in message_text
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_suggest_alternatives(self):
|
||||
"""Test package alternatives suggestion prompt generation."""
|
||||
result = await suggest_alternatives("flask", "performance", "Need async support")
|
||||
|
||||
assert len(result) == 1
|
||||
message_text = result[0].text
|
||||
assert "flask" in message_text
|
||||
assert "performance" in message_text
|
||||
assert "Need async support" in message_text
|
||||
assert "alternatives" in message_text.lower()
|
||||
|
||||
|
||||
class TestDependencyManagementPrompts:
|
||||
"""Test dependency management prompt templates."""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_resolve_dependency_conflicts(self):
|
||||
"""Test dependency conflict resolution prompt generation."""
|
||||
conflicts = [
|
||||
"django 4.2.0 requires sqlparse>=0.3.1, but you have sqlparse 0.2.4",
|
||||
"Package A requires numpy>=1.20.0, but Package B requires numpy<1.19.0"
|
||||
]
|
||||
|
||||
result = await resolve_dependency_conflicts(
|
||||
conflicts, "3.10", "Django web application"
|
||||
)
|
||||
|
||||
assert len(result) == 1
|
||||
message_text = result[0].text
|
||||
assert "django 4.2.0" in message_text
|
||||
assert "sqlparse" in message_text
|
||||
assert "Python version: 3.10" in message_text
|
||||
assert "Django web application" in message_text
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_plan_version_upgrade(self):
|
||||
"""Test version upgrade planning prompt generation."""
|
||||
result = await plan_version_upgrade("django", "3.2.0", "4.2.0", "large")
|
||||
|
||||
assert len(result) == 1
|
||||
message_text = result[0].text
|
||||
assert "django" in message_text
|
||||
assert "3.2.0" in message_text
|
||||
assert "4.2.0" in message_text
|
||||
assert "(large project)" in message_text
|
||||
assert "upgrade plan" in message_text.lower()
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_audit_security_risks(self):
|
||||
"""Test security audit prompt generation."""
|
||||
packages = ["django", "requests", "pillow"]
|
||||
|
||||
result = await audit_security_risks(
|
||||
packages, "production", "SOC2 compliance"
|
||||
)
|
||||
|
||||
assert len(result) == 1
|
||||
message_text = result[0].text
|
||||
assert "django" in message_text
|
||||
assert "requests" in message_text
|
||||
assert "pillow" in message_text
|
||||
assert "Environment: production" in message_text
|
||||
assert "SOC2 compliance" in message_text
|
||||
|
||||
|
||||
class TestMigrationGuidancePrompts:
|
||||
"""Test migration guidance prompt templates."""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_plan_package_migration(self):
|
||||
"""Test package migration planning prompt generation."""
|
||||
result = await plan_package_migration(
|
||||
"flask", "fastapi", "medium", "2 months", 4
|
||||
)
|
||||
|
||||
assert len(result) == 1
|
||||
message_text = result[0].text
|
||||
assert "flask" in message_text
|
||||
assert "fastapi" in message_text
|
||||
assert "medium codebase" in message_text
|
||||
assert "Timeline: 2 months" in message_text
|
||||
assert "Team size: 4 developers" in message_text
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_generate_migration_checklist(self):
|
||||
"""Test migration checklist generation prompt."""
|
||||
result = await generate_migration_checklist(
|
||||
"package_replacement", ["flask", "fastapi"], "production"
|
||||
)
|
||||
|
||||
assert len(result) == 1
|
||||
message_text = result[0].text
|
||||
assert "package_replacement" in message_text
|
||||
assert "flask" in message_text
|
||||
assert "fastapi" in message_text
|
||||
assert "production" in message_text
|
||||
assert "checklist" in message_text.lower()
|
||||
|
||||
|
||||
class TestPromptTemplateStructure:
|
||||
"""Test prompt template structure and consistency."""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_all_prompts_return_message_list(self):
|
||||
"""Test that all prompt templates return list of Message objects."""
|
||||
# Test a few representative prompts
|
||||
prompts_to_test = [
|
||||
(analyze_package_quality, ("requests",)),
|
||||
(compare_packages, (["django", "flask"], "API development")),
|
||||
(suggest_alternatives, ("flask", "performance")),
|
||||
(resolve_dependency_conflicts, (["conflict1"],)),
|
||||
(plan_version_upgrade, ("django", "3.2.0")),
|
||||
(audit_security_risks, (["django"],)),
|
||||
(plan_package_migration, ("flask", "fastapi")),
|
||||
(generate_migration_checklist, ("package_replacement", ["flask"])),
|
||||
]
|
||||
|
||||
for prompt_func, args in prompts_to_test:
|
||||
result = await prompt_func(*args)
|
||||
assert isinstance(result, list)
|
||||
assert len(result) > 0
|
||||
# Check that each item has a text attribute (Message-like)
|
||||
for message in result:
|
||||
assert hasattr(message, 'text')
|
||||
assert isinstance(message.text, str)
|
||||
assert len(message.text) > 0
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_prompts_contain_structured_content(self):
|
||||
"""Test that prompts contain structured, useful content."""
|
||||
result = await analyze_package_quality("requests")
|
||||
message_text = result[0].text
|
||||
|
||||
# Check for structured sections
|
||||
assert "##" in message_text # Should have markdown headers
|
||||
assert "📊" in message_text or "🔧" in message_text # Should have emojis for structure
|
||||
assert len(message_text) > 50 # Should be substantial content
|
||||
|
||||
# Check for actionable content
|
||||
assert any(word in message_text.lower() for word in [
|
||||
"analyze", "assessment", "recommendations", "specific", "examples"
|
||||
])
|
||||
Loading…
x
Reference in New Issue
Block a user