Developed CSV to JSONL conversion with web scraping

• Day: 2025-07-14
• Time: 03:20 to 03:40
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Web Scraping, CSV, JSONL, Promptflow

Description

Session Goal

The primary goal of this session was to develop a Python script capable of converting data from CSV files to JSONL format while incorporating web scraping functionalities.

Key Activities

• Developed a Python script to convert CSV data to JSONL format, incorporating web scraping to extract additional data from URLs.
• Utilized the Spider API to enhance the web scraping capabilities, ensuring robust handling of retries and delays.
• Addressed a connection error related to PromptFlow by installing a fallback keyring and configuring environment variables.
• Resolved an environment mismatch issue between Streamlit and PromptFlow CLI by adjusting API key management and subprocess environment settings.

Achievements

• Successfully created a script that integrates CSV data processing with web scraping, outputting in JSONL format.
• Implemented solutions for PromptFlow connection errors and environment mismatches, improving the robustness of the development environment.

Pending Tasks

• Further testing of the script in varied environments to ensure compatibility and robustness.
• Optimization of the web scraping logic for efficiency and speed.

Evidence

• source_file=2025-07-14.sessions.jsonl, line_number=6, event_count=0, session_id=df1f6ce125a6ce5c924f7647b1d671a9b0f49019c1c6330cd51a67a3c97a0807
• event_ids: []