📅 2025-08-31 — Session: Enhanced Data Pipeline with Pandas and Promptflow
🕒 00:10–00:35
🏷️ Labels: Python, Data Processing, Pandas, Automation, Promptflow
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal: The goal of this session was to enhance the data processing pipeline by implementing robust data handling and automation scripts using Python and Pandas.
Key Activities:
- Developed a master index update script to validate input data, manage directory structures, and write to CSV files. Implemented error handling by quarantining bad rows and logging updates for database consistency.
- Created a helper for row serialization and column preseeding to prevent KeyErrors during data operations.
- Updated and optimized code for merging DataFrames in Pandas, ensuring proper handling of missing values and timestamp columns to avoid errors.
- Implemented the 03_headlines_digests.py script for processing and validating data, generating JSONL outputs for Promptflow.
- Developed a contract-compliant PromptFlow runner script with comprehensive input/output management and error handling.
Achievements:
- Successfully enhanced the data processing pipeline with improved error handling and automation capabilities.
- Ensured data integrity and efficient processing through updated scripts and robust error management.
Pending Tasks:
- Further testing and validation of the PromptFlow runner script to ensure contract compliance and output accuracy.