📅 2025-02-25 — Session: Enhanced Financial Document Processing Pipeline
🕒 01:25–02:10
🏷️ Labels: Pipeline, YAML, Python, Openai, Asynchronous, Configuration
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to enhance the financial document processing pipeline by updating configurations, correcting YAML structures, and refactoring code for better efficiency and maintainability.
Key Activities
- Updated the pipeline configuration to transition from a retrieval-based AI to structured document parsing.
- Corrected the YAML structure for defining multiple pipelines to avoid duplicate keys and ensure valid configuration.
- Fixed errors in accessing YAML pipeline configurations in Python, providing corrected code solutions and alternative methods.
- Implemented dynamic configuration access in YAML for more maintainable and scalable multi-pipeline execution.
- Refactored two similar functions into a single asynchronous function for processing financial documents using OpenAI’s API.
- Explained the correct usage of asynchronous functions in Jupyter Notebooks, promoting better practices for handling async code.
Achievements
- Successfully updated and corrected pipeline configurations, enhancing the processing of financial documents.
- Improved code maintainability and reusability through refactoring and dynamic configuration management.
Pending Tasks
- Further testing of the updated pipeline in a production environment to ensure stability and performance.
- Additional optimization of the asynchronous functions for better efficiency in large-scale document processing.