📅 2025-04-08 — Session: Enhanced Asynchronous Data Processing and File Parsing
🕒 18:35–18:55
🏷️ Labels: Async, Data Extraction, Python, Pandas, Openai, Automation
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary goal of this session was to enhance and stabilize the asynchronous data extraction and file parsing processes using Python and OpenAI’s API.
Key Activities
- Fixing Async AI Call for Document Parsing: Implemented an asynchronous AI call to extract data from text snippets and save the results to a CSV file.
- Improved File Parsing in Pandas: Addressed issues with whitespace and unexpected characters in file listings using Pandas and Regex.
- Integrating
get_recent_files()into the File Processing Pipeline: Added a reusable function for file retrieval and parsing into the existing pipeline. - Error Handling in Asynchronous Data Extraction: Corrected an error related to an undefined variable in a Python script, ensuring proper execution of asynchronous functions.
- Optimizing Asynchronous Data Extraction Pipeline: Structured and stabilized the data extraction process using OpenAI’s API.
Achievements
- Successfully integrated asynchronous calls and improved file parsing mechanisms.
- Enhanced error handling and function integration within the data processing pipeline.
Pending Tasks
- Further optimization of the data extraction workflow for increased efficiency.
- Continuous monitoring and testing of the implemented solutions to ensure stability.