Explored Makefile Commands and Bash Scripting

• Day: 2026-02-23
• Time: 16:20 to 16:40
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Makefile, Bash, Automation, Data Processing, JSONL

Description

Session Goal

The primary goal of this session was to explore and document various Makefile commands and their applications, as well as to utilize Bash scripting for text processing and data extraction.

Key Activities

• Makefile Queries: Investigated Makefile commands related to the kbctl tool, focusing on computing, publishing, and managing logs and sessions. Documented queries and parameters, particularly the --QDF=5 option.
• Bash and Sed Usage: Demonstrated the use of Bash with Sed to extract specific lines from Makefiles and Python scripts. This included extracting lines from /mnt/data/kbctl_compute.py using various Sed commands.
• Data Quality and No-Code Outputs: Outlined a no-code workflow for generating usable outputs from JSONL data, emphasizing data quality signals and command usage.
• Makefile Target Queries: Explored specific queries related to Makefile targets and logs, focusing on project management and publishing rules.
• No-Code Workflow for Markdown Generation: Provided a step-by-step guide for generating Markdown outputs from logs, highlighting the setup of environment variables and command usage.
• Python Script for JSONL Data Processing: Developed a Python script to aggregate metadata from JSONL files, allowing for filtering and outputting results in CSV or Parquet formats.

Achievements

• Documented a comprehensive set of Makefile commands and queries.
• Successfully demonstrated the use of Bash and Sed for text extraction.
• Established no-code workflows for data output generation and Markdown conversion.
• Created a Python script for processing JSONL data efficiently.

Pending Tasks

• Further refine and test the Python script for broader data processing tasks.
• Explore additional Makefile commands and automation opportunities.

Evidence

• source_file=2026-02-23.sessions.jsonl, line_number=1, event_count=0, session_id=6f84fa366ac97d8dd26a1433f0178675e79fb356c94cb5b795ce57dbbd168498
• event_ids: []