Aligned FastAPI backend with canonical models

• Day: 2025-11-21
• Time: 03:40 to 05:10
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Fastapi, Pydantic, API, Backend, Error Handling

Description

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.

Evidence

• source_file=2025-11-21.sessions.jsonl, line_number=2, event_count=0, session_id=3efa1869a865e067458980d2aa2f47afd664e3035cc58bde34e5c1570b878d69
• event_ids: []