📅 2025-11-21 — Session: Aligned FastAPI backend with canonical models
🕒 03:40–05:10
🏷️ Labels: Fastapi, Pydantic, API, Backend, Error Handling
📂 Project: Dev
Session Goal
The session aimed to align backend, API, and frontend systems using canonical models to address type drift, duplication, and error handling issues.
Key Activities
- Implemented a structured approach to align systems using Pydantic and FastAPI.
- Created a canonical module for FastAPI and backend integration, focusing on design decisions and migration checklists.
- Refactored FastAPI endpoints for Pydantic validation to prevent schema drift and improve API reliability.
- Implemented idempotent summarization in FastAPI, emphasizing caching and response models.
- Resolved ECONNREFUSED error with openapi-typescript by providing server and local generation options.
- Diagnosed and fixed FastAPI and OpenAPI integration issues, including type mismatches and API response inconsistencies.
- Conducted backend diagnosis and consolidation, addressing response models and Chroma integration.
Achievements
- Successfully aligned FastAPI backend with canonical models, improving type safety and error handling.
- Enhanced API contract reliability through Pydantic validation.
- Resolved critical errors and integration issues in FastAPI and OpenAPI.
Pending Tasks
- Further testing and validation of the refactored TEI pipeline for robustness and error handling improvements.