Developed and tested automation scripts for session management

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📅 2025-05-18 — Session: Developed and tested automation scripts for session management

🕒 04:20–05:00
🏷️ Labels: Automation, Python, Promptflow, YAML, JSONL
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary objective of this session was to develop and test automation scripts for managing session data, including generating daily JSONL files, correcting YAML syntax, and integrating with PromptFlow.

Key Activities

  • Daily JSONL File Generation Script: A Python script was developed to organize session data into daily JSONL files, preserving structure and metadata.
  • Testing in PromptFlow: Executed tests for per-day JSONL files in PromptFlow, following a detailed command structure and sanity checklist.
  • Correcting YAML Syntax: Adjusted YAML syntax for PromptFlow, ensuring classic YAML mapping style with proper newlines and indents.
  • Session Summarization Guidelines: Outlined cognitive needs and structural requirements for AI session log summarization.
  • Jinja2 and JSON Schema Templates: Provided templates for session summarization using Jinja2 and JSON Schema to facilitate structured reflection and memory indexing.
  • Structured JSON Request for Task Management API: Developed a JSON request body template for task management API integration.
  • Schema Error Resolution: Resolved schema validation errors in PromptFlow by addressing a missing ‘name’ field.
  • Flow for Structured Session Logs: Designed a flow to transform structured session logs into actionable outputs, ensuring schema compliance.
  • Output Misalignment Fix in PromptFlow YAML: Addressed and resolved output misalignment issues in PromptFlow YAML configuration.

Achievements

  • Successfully developed and tested scripts for session management automation, ensuring compatibility with PromptFlow and task management APIs.
  • Resolved multiple syntax and schema validation issues, enhancing the robustness of the automation process.

Pending Tasks

  • Further testing and validation of the developed scripts in diverse scenarios to ensure reliability.
  • Continuous monitoring for schema updates or changes in PromptFlow to maintain compatibility.

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