Debugged and Analyzed Python Scripts for Automation

• Day: 2025-12-28
• Time: 03:00 to 03:10
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Debugging, Policy.Py, Runner.Py, Utils.Py, Automation

Description

Session Goal:

The session aimed to debug and analyze Python scripts related to policy management and automation, focusing on policy.py, runner.py, and utils.py.

Key Activities:

• Conducted query analysis and debugging for the policy.py file, focusing on functions like compute_effective_runset, return intents, and project ID issues.
• Investigated the runner.py script, analyzing its main function, client authentication with Google Sheets, and automation tasks.
• Explored the load_plugins_from_folder function in utils.py, addressing plugin loading and error handling.

Achievements:

• Clarified the functionality and debugging options for policy.py, including return intents and project ID management.
• Enhanced understanding of runner.py script execution, covering argument parsing and dry run conditions.
• Identified methods for efficient plugin loading in utils.py.

Pending Tasks:

• Further debugging of compute_effective_runset function in policy.py to resolve remaining issues with project IDs and return values.

Evidence

• source_file=2025-12-28.sessions.jsonl, line_number=19, event_count=0, session_id=946341b7ee77dff859e4bccc3836276e19a41ff1c7e1732b502f3f6c18f8bc87
• event_ids: []