📅 2025-10-27 — Session: Enhanced Automation for JSONL and File Management
🕒 22:30–23:40
🏷️ Labels: Json Schema, File Management, Automation, Python, Metadata
📂 Project: Dev
Session Goal
The primary objective of this session was to enhance and streamline automation processes for JSONL file management and metadata handling, ensuring robust data validation and efficient file movement.
Key Activities
- Implemented a strict JSON Schema for data validation in triage flows, including a Python validator and strategies for schema compliance.
- Addressed issues with
jqquoting and developed a reliable shell pipeline for file movement based on metadata paths. - Created detailed shell and Python commands for file movement, ensuring metadata paths align with a specified base directory.
- Developed a comprehensive plan to diagnose and resolve JSONL file handling issues, including a robust file mover in Python and schema enforcement for date formats.
- Enhanced a Python script for file movement with safety features like dry-run, backup, and optional inbox wipe.
- Merged missing metadata from original JSONL files into PromptFlow outputs to ensure accurate document path access.
- Updated the Python script for triage operations, incorporating dry-run, metadata resolution, and backup functionalities.
- Outlined an automation plan for the triage workflow, including safety checks and troubleshooting steps.
Achievements
- Successfully implemented a robust framework for JSONL file management and metadata handling.
- Developed and tested enhanced scripts for reliable file movement and data validation.
- Established a clear plan and steps for automating triage workflows in data processing environments.
Pending Tasks
- Further testing and refinement of the automation scripts to ensure robustness in various edge cases.
- Continuous monitoring and adjustment of the schema validation process to adapt to new data formats.