Debugging and Optimizing JSONL Session Data

• Day: 2026-02-20
• Time: 06:45 to 07:00
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Debugging, Data Processing, JSONL, Python, Session Management

Description

Session Goal

The session aimed to address issues related to duplicate session IDs in JSONL files and optimize the handling and processing of session data.

Key Activities

• Debugging Duplicate Session IDs: Implemented a workflow to debug and handle duplicate session IDs in JSONL files, including verification steps and a patch for generating unique session IDs.
• Data Loading and Analysis: Demonstrated how to load JSONL files, read lines, and analyze data using Python.
• Data Extraction: Extracted specific keys and values from JSON objects, focusing on ‘session_id’ and ‘id’.
• Counting Session IDs: Utilized Python’s collections.Counter to count occurrences of session IDs.
• Manifest Data Access: Loaded and accessed JSON manifest data to retrieve specific keys and values.
• Query Structure Development: Developed query structures for extracting fields from session data files, focusing on schema version and session attributes.
• System Observability Optimization: Enhanced system observability and artifact management through improved UI and data governance strategies.

Achievements

• Successfully implemented debugging strategies for duplicate session IDs.
• Improved data extraction and analysis techniques for JSONL files.
• Enhanced system observability and management for better data governance.

Pending Tasks

• Further optimization of data processing workflows to ensure efficiency and accuracy.
• Implementation of additional sanity checks for data integrity.

Evidence

• source_file=2026-02-20.sessions.jsonl, line_number=5, event_count=0, session_id=954ed834ccb6b44d76df0092713df16253cc02eae7f20b4ba7b361a54cd7ba5a
• event_ids: []