Normalized and Loaded Session Data with Python

• Day: 2026-02-20
• Time: 12:15 to 12:25
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Data Ingestion, Session Processing, Python, Normalization, Log Management

Description

Session Goal

The goal of this session was to address queries related to normalizing raw session data and loading session files within the ingest_sessions.py script, as well as handling log ingestion and processing using Python.

Key Activities

• Explored the normalization of log lines using a Python script with parameters for SHA-256 hashing and ISO local time formatting.
• Discussed the parse_utc_any function in config.py for handling datetime in UTC.
• Addressed specific queries on functions for normalizing session lines and loading sessions, focusing on session ID and timestamps.
• Engaged in log processing within the ingest_logs.py script to normalize log lines and build log cohorts.

Achievements

• Clarified the use of Python scripts for session and log data normalization and ingestion.
• Enhanced understanding of datetime handling in Python for session management.

Pending Tasks

• Further exploration of session ID and timestamp handling in ingest_sessions.py for optimization.
• Review and possibly refine the parse_utc_any function for better accuracy in datetime parsing.

Evidence

• source_file=2026-02-20.sessions.jsonl, line_number=10, event_count=0, session_id=17469a2b319b6f906513e2016804fe9f32ff7c6753f3859a2607d0c560a7d28d
• event_ids: []