AndreaBozzo/Osservatorio

AI Summary: Create a Python script to validate the development environment for the Osservatorio project. The script should check Python version, dependencies, database connections, API accessibility, environment variables, and Docker (if applicable), providing informative error messages and colored output. Testing on various scenarios (clean, misconfigured) is required.

AI Summary: The task involves enhancing the API documentation for a data processing platform by adding comprehensive curl and Python code examples for all API endpoints. This includes demonstrating error handling, rate limiting, authentication with JWT tokens, different response formats (JSON, CSV), and pagination where applicable. The examples should be tested thoroughly against the live API.

AI Summary: Enhance 15+ Python scripts by adding comprehensive help text using argparse, implementing input validation, and including usage examples in docstrings. Prioritize scripts like `validate_powerbi_offline.py` and `cleanup_temp_files.py`.

AI Summary: The task involves adding practical, runnable code examples to the existing documentation for the Osservatorio project. This includes examples for API integration (ISTAT, PowerBI), database operations (DuckDB, SQLite), error handling, and contribution workflows. The goal is to improve the user experience by providing more hands-on learning opportunities.

AI Summary: Document the 15+ scripts within the `scripts/` directory, providing clear descriptions, usage examples, prerequisites, expected outputs, categorization, common workflows, and a troubleshooting section. This aims to improve the documentation for new contributors.