Enhanced Observability and Debugging in Python Scripts

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📅 2025-09-29 — Session: Enhanced Observability and Debugging in Python Scripts

🕒 18:05–18:50
🏷️ Labels: Python, Observability, Debugging, Data Management, Automation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal:

The primary objective of this session was to enhance observability and debug issues in Python scripts, particularly focusing on timezone handling, data serialization, and event logging.

Key Activities:

  • Developed a self-contained observability script for generating reports from CSV files.
  • Implemented a patch to convert timezone-aware timestamps to naive UTC in the observability.py script.
  • Addressed a pandas JSON serialization error by switching to the standard library’s json.dumps.
  • Debugged event logging issues by refining configurations and improving data collection.
  • Provided a simulated CSV dataset for testing event funnels and acceptance rates.
  • Offered feedback on enhancing observability snapshots by improving metrics and data feedback loops.
  • Configured observability settings for the Pingbot project, including YAML configuration files.
  • Resolved DataFrame to Series conversion errors in Python by providing alternative solutions.
  • Guided the population of backlog and CRM CSVs for comprehensive observability.
  • Ensured consistency in CSV file fixtures for observability reporting.
  • Fixed data directory issues in Python scripts to improve data management and logging.
  • Proposed solutions for missing CSV files in the Pingbot data directory.
  • Integrated heartbeat job and callback handling in a Telegram bot for enhanced interaction.

Achievements:

  • Successfully implemented timezone conversion and JSON serialization fixes.
  • Improved event logging and observability configurations across multiple projects.
  • Enhanced data consistency and management in Python scripts and automation workflows.

Pending Tasks:

  • Further validation of the timezone conversion patch in diverse environments.
  • Continued monitoring and feedback on the observability snapshot improvements.
  • Final testing of the heartbeat job integration in the Telegram bot.

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