Automated Log and Session Data Processing

• Day: 2026-02-20
• Time: 12:15 to 12:45
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Data Processing, Automation, Log Analysis

Description

Session Goal

The goal of this session was to automate the ingestion and processing of session data and logs using Python scripts.

Key Activities

• Executed command-line queries for ingesting session data and logs.
• Processed event units from logs in a Python-based automation context.
• Utilized specific queries for loading and normalizing session data within the ingest_sessions.py script, focusing on QDF settings.
• Implemented log normalization queries in the ingest_logs.py script, addressing parameters and functions used.
• Executed command queries for the kbctl_compute.py script to retrieve logs, sessions, and load events with specific filters.

Achievements

• Successfully outlined and executed workflows for session data ingestion and log processing.
• Clarified the use of Python scripts for automation of data processing tasks.

Pending Tasks

• Further optimization of the log normalization process to enhance efficiency.
• Review and refine command queries for better accuracy in data retrieval.

Evidence

• source_file=2026-02-20.sessions.jsonl, line_number=11, event_count=0, session_id=ec0f44ffc0e1100a5e7040c35e564d2b3749c06f95e0b83873dc94dd0f42ee99
• event_ids: []