Resolved PromptFlow configuration and execution issues

• Day: 2025-04-30
• Time: 03:30 to 04:15
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Promptflow, Automation, Python, Workflow, Error Resolution

Description

Session Goal:

The session aimed to design, fix, and optimize the workflow management using PromptFlow, focusing on the submission_handler.py script and configuration files like run.yml and flow.dag.yaml.

Key Activities:

• Designed submission_handler.py to organize and save review artifacts.
• Fixed the script to include the @tool decorator for PromptFlow compatibility.
• Diagnosed and provided solutions for runtime errors caused by data mismatches in flow.dag.yaml and data.jsonl.
• Set up run.yml and column_mapping to manage static and dynamic job data.
• Cleaned and prepared a deduplicated job listing dataset in JSONL format.
• Created and validated a run.yml file to resolve errors in PromptFlow.
• Corrected configuration issues in flow.dag.yaml and run.yml for job data processing.
• Addressed PromptFlow UserErrorException by specifying the flow directory.
• Fixed CLI command execution issues for PromptFlow, ensuring correct syntax and folder layout.

Achievements:

• Successfully designed and fixed the submission_handler.py script for PromptFlow.
• Resolved configuration and execution issues in PromptFlow, ensuring proper input handling and command execution.
• Prepared a clean job listing dataset for further processing.

Pending Tasks:

• Further enrichment and filtering of the job listing dataset for specific use cases.
• Continuous monitoring and testing of PromptFlow configurations to prevent future errors.

Evidence

• source_file=2025-04-30.sessions.jsonl, line_number=5, event_count=0, session_id=4457fae90bc0beb3a4833447c495498dd6f5dd646edb0d047e8fcf31baa8efe5
• event_ids: []