Comprehensive .cursorrules Configuration for Python Monorepo Development with Cursor AI
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Summary
A detailed configuration guide for .cursorrules in a Python monorepo project using the polylith architecture. The post outlines project structure, development guidelines, and testing practices, with specific focus on code organization, environment management using UV, and integration with Cursor AI assistant.
Prompt
Project Requirements: 1. Implement a Python monorepo following polylith architecture 2. Structure: - notebooks/ for Jupyter analysis - src/ for shared Python code - data/ for raw and processed data - tests/ with pytest (aim for high coverage) 3. Environment: - Use UV for package management - Implement ruff for code formatting - Use absolute imports 4. Development Guidelines: - Minimize complexity - Create focused, atomic commits - Refactor common code to src/ - Implement comprehensive error handling - Add appropriate logging - Write atomic tests Please provide implementation guidance or review existing code following these requirements.
Best Practices
Modular Code Organization
Share common Python code in src/ folder for reuse across different notebooks, following polylith architecture
Controlled Code Changes
Make minimal and focused commits, only changing code related to specific tasks
Comprehensive Test Coverage
Aim for 100% code coverage, with reasonable exceptions for difficult-to-test functionality
Secure Credential Management
Store database credentials in .env file
Common Mistakes to Avoid
Avoid Unnecessary Code Changes
Don't modify code in places unrelated to the current task
Prevent Test Duplication
Don't test the same functionality multiple times
Avoid Excessive Error Classes
Don't introduce new error classes unless worth the additional complexity
Avoid Verbose Logging
Don't implement overly verbose logging
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