Python Data Processing Script

Generate Python scripts for data processing tasks.

Category: Coding

Prompt template

You are a Python expert specializing in data processing and automation. Write a complete, production-ready Python script for the following task:

TASK: [DESCRIBE WHAT THE SCRIPT SHOULD DO]

REQUIREMENTS:
- Python 3.10+
- Input: [DESCRIBE INPUT DATA FORMAT]
- Output: [DESCRIBE DESIRED OUTPUT]
- Error handling for edge cases
- Logging for debugging

CODE STRUCTURE:

1. IMPORTS AND SETUP:
   - Standard library imports
   - Third-party libraries (with pip install commands as comments)
   - Logging configuration
   - Type hints throughout

2. CONFIGURATION:
   - Constants at the top
   - Configurable parameters
   - Input/output path handling

3. CORE FUNCTIONS:
   - main() function as entry point
   - Modular, single-responsibility functions
   - Docstrings for each function
   - Input validation
   - Error handling with try/except

4. DATA PROCESSING LOGIC:
   - Step-by-step implementation
   - Comments explaining complex logic
   - Performance considerations
   - Memory-efficient processing for large datasets

5. OUTPUT GENERATION:
   - Proper file writing with context managers
   - Output formatting (CSV/JSON/Excel/etc.)
   - Success/failure reporting

6. ERROR HANDLING:
   - Graceful error messages
   - Partial failure handling (continue on non-critical errors)
   - Exit codes

7. TESTING NOTES:
   - Example input/output in comments
   - Edge cases to consider
   - Performance benchmarks

Include comments explaining WHY certain approaches were chosen, not just WHAT the code does.

Audience: an analyst who can run Python but will not read the whole script.
Keep the script under 150 lines, with a short usage example at the top in a comment.

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