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- 10 commits
- 27 files changed
- 3 contributors
Commits on May 29, 2025
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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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refactor: update prompt templates to follow standard MCP workflow
- Implement standard MCP prompt workflow with template variables - Use {{parameter_name}} placeholders instead of direct string interpolation - Add proper parameter replacement in server prompt registrations - Update templates to return template strings with placeholders - Follow MCP workflow: load template → parameter replacement → return final prompt - Update documentation to reflect standard MCP workflow implementation - Remove TEMPLATES_USE environment variable as requested - Maintain all existing functionality while improving MCP compliance Signed-off-by: longhao <hal.long@outlook.com> -
feat: add comprehensive environment and trending analysis prompt temp…
…lates Environment Analysis Templates: - analyze_environment_dependencies: Analyze current Python environment and dependencies - check_outdated_packages: Check for outdated packages with update priorities - generate_update_plan: Create comprehensive package update plans with strategies Trending Analysis Templates: - analyze_daily_trends: Analyze daily PyPI download trends and popular packages - find_trending_packages: Discover trending packages over different time periods - track_package_updates: Track recent package updates and releases Key Features: - Follow standard MCP workflow with {{parameter}} template variables - Support environment analysis (uvx pip list integration ready) - Enable trending package discovery and popularity analysis - Provide structured update planning with different strategies - Include comprehensive parameter validation and documentation - Add usage examples and integration guides All templates follow the established MCP prompt workflow: 1. User calls tool → MCP client sends request 2. Tool function executes → Collects necessary data and parameters 3. Call Prompt generator → Pass parameters to corresponding generator 4. Load template → Get template with {{parameter}} placeholders 5. Parameter replacement → Replace {{parameter_name}} with actual values 6. Return final prompt → As tool's response back to AI Updated documentation and README with new template examples and usage patterns. Signed-off-by: longhao <hal.long@outlook.com> -
fix: resolve all lint issues and fix failing tests
- Fix blank line whitespace issues (W293) using ruff --unsafe-fixes - Reformat code using ruff format for consistent styling - Fix analyze_package_quality function to return list[Message] instead of string - Add missing 'assessment' keyword to package analysis template - Update tests to use real prompt functions instead of mocks for structure validation - Fix import ordering in test files - All 64 tests now pass with 47% code coverage Signed-off-by: longhao <hal.long@outlook.com>
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