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Production Python Automation: 5 Rules That Prevent Your Scripts From Breaking

DEV Community·Brad·19 days ago
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Most Python automation tutorials show you code that works in a blog post but breaks in production. Here's what actually works in real business environments, based on running these scripts daily: Rule 1: Always Use Proper Logging Scripts that run silently make debugging a nightmare. Use structured logging from the start: import logging from datetime import datetime def setup_logger ( name , log_file = None ): logger = logging . getLogger ( name ) logger . setLevel ( logging . INFO ) # Console handler console = logging . StreamHandler () console . setFormatter ( logging . Formatter ( ' %(asctime)s [%(levelname)s] %(message)s ' , datefmt = ' %Y-%m-%d %H:%M:%S ' )) logger . addHandler ( console ) # File handler (optional but recommended) if log_file : file_handler = logging . FileHandler ( log_file ) file_handler . setFormatter ( logging . Formatter ( ' %(asctime)s [%(levelname)s] %(name)s: %(message)s ' )) logger .…

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