📅 2025-07-07 — Session: Developed and Debugged Automation Scripts for Pipelines
🕒 04:25–05:25
🏷️ Labels: Automation, Debugging, Python, Data Pipeline, Job Search
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary aim of this session was to develop and debug various automation scripts related to data processing pipelines, job search automation, and productivity tools.
Key Activities
- Design and Execution Plans: Created strategic execution plans for value-adding agents and productivity tools, focusing on automation and monetization strategies.
- Script Development: Designed and scaffolded the
run_full_pipeline.pyscript for job search automation, detailing its components and directory structure. - Debugging and Fixes: Addressed several issues including argument mismatches in scripts, JSONL conversion errors, file path issues, and TypeErrors in Python scripts. Provided solutions for live output suppression in subprocess commands and CSV filtering errors.
Achievements
- Successfully outlined execution plans for automation agents and productivity tools.
- Developed a comprehensive scaffold for the job search pipeline script.
- Resolved multiple script-related issues, enhancing the robustness and functionality of the data processing pipelines.
Pending Tasks
- Implement the proposed solutions for the CSV input mismatch and JSONL output name mismatch in the data pipeline.
- Continue refining the productivity agent strategies and their implementation paths.