IDE Rule: Python
IDE Rule: Python is a verified IDE_RULE blueprint on Promptally in Framework IDE Rules optimized for leading AI models. Cursorrules_Mdc specification for IDE Rule: Python. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Technical Specifications
| Specification | Value |
|---|---|
| Artifact type | IDE RULE (Framework IDE Rules) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 848 |
| Source file | .cursorrules |
| Access tier | Free public (MIT) |
Pre-Filled Template
--- description: "Python best practices and patterns for modern software development with Flask and SQLite" globs: **/*.py, src/**/*.py, tests/**/*.py alwaysApply: false --- # Python Best Practices ## Project Structure - Use src-layout with `src/your_package_name/` - Place tests in `tests/` directory parallel to `src/` - Keep configuration in `config/` or as environment variables - Store requirements in `requirements.txt` or `pyproject.toml` - Place static files in `static/` directory - Use `templates/` for Jinja2 templates ## Code Style - Follow Black code formatting - Use isort for import sorting - Follow PEP 8 naming conventions: - snake_case for functions and variables - PascalCase for classes - UPPER_CASE for constants - Maximum line length of 88 characters (Black default) - Use absolute imports over relative imports ## Type Hints - Use type hints for all function parameters and returns - Import types from `typing` module - Use `Optional[Type]` instead of `Type | None` - Use `TypeVar` for generic types - Define custom types in `types.py` - Use `Protocol` for duck typing ## Flask Structure - Use Flask factory pattern - Organize routes using Blueprints - Use Flask-SQLAlchemy for database - Implement proper error handlers - Use Flask-Login for authentication - Structure views with proper separation of concerns ## Database - Use SQLAlchemy ORM - Implement database migrations with Alembic - Use proper connection pooling - Define models in separate modules - Implement proper relationships - Use proper indexing strategies ## Authentication - Use Flask-Login for session management - Implement Google OAuth using Flask-OAuth - Hash passwords with bcrypt - Use proper session security - Implement CSRF protection - Use proper role-based access control ## API Design - Use Flask-RESTful for REST APIs - Implement proper request validation - Use proper HTTP status codes - Handle errors consistently - Use proper response formats - Implement proper rate limiting ## Testing - Use pytest for testing - Write tests for all routes - Use pytest-cov for coverage - Implement proper fixtures - Use proper mocking with pytest-mock - Test all error scenarios ## Security - Use HTTPS in production - Implement proper CORS - Sanitize all user inputs - Use proper session configuration - Implement proper logging - Follow OWASP guidelines ## Performance - Use proper caching with Flask-Caching - Implement database query optimization - Use proper connection pooling - Implement proper pagination - Use background tasks for heavy operations - Monitor application performance ## Error Handling - Create custom exception classes - Use proper try-except blocks - Implement proper logging - Return proper error responses - Handle edge cases properly - Use proper error messages ## Documentation - Use Google-style docstrings - Document all public APIs - Keep README.md updated - Use proper inline comments - Generate API documentation - Document environment setup ## Development Workflow - Use virtual environments (venv) - Implement pre-commit hooks - Use proper Git workflow - Follow semantic versioning - Use proper CI/CD practices - Implement proper logging ## Dependencies - Pin dependency versions - Use requirements.txt for production - Separate dev dependencies - Use proper package versions - Regularly update dependencies - Check for security vulnerabilities
How to use this ide rule
- Review the pre-filled example and source files above.
- Copy the template or download
.cursorrules, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use IDE Rule: Python?
Open the ide rule on Promptally, review the pre-filled example, then copy the template or download .cursorrules and paste it into your model, IDE or workflow tool. IDE Rule: Python is a static blueprint with no dynamic variables. Copy it and use it as-is.
Is IDE Rule: Python free?
Yes. IDE Rule: Python is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does IDE Rule: Python need?
IDE Rule: Python is a static blueprint with no dynamic variables. Copy it and use it as-is.