📅 2025-07-14 — Session: Developed CSV to JSONL conversion with web scraping
🕒 03:20–03:40
🏷️ Labels: Python, Web Scraping, CSV, JSONL, Promptflow
📂 Project: Dev
⭐ Priority: MEDIUM
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.