Enhanced FastAPI Deployment and Debugging

📅 2025-04-15 — Session: Enhanced FastAPI Deployment and Debugging

🕒 14:05–15:15
🏷️ Labels: Fastapi, Docker, Deployment, Debugging, API, Python
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance the deployment and debugging processes for a FastAPI application, focusing on Docker deployment, input handling, and API connectivity.

Key Activities

• Created a Dockerfile for setting up a Python 3.11 environment for application deployment.
• Provided detailed instructions for launching a FastAPI service in a Docker container, including necessary scripts and configurations.
• Developed a phased strategy for fullstack AI product development, emphasizing efficiency and bug minimization.
• Finalized a minimal FastAPI backend for Phase 2, including code customizations and testing instructions.
• Addressed a critical edge case in flow input handling, ensuring correct data loading from YAML files.
• Analyzed differences between CLI and API flow execution, providing troubleshooting steps.
• Merged run() methods for PromptBlock, enhancing debugging and error handling.
• Diagnosed and proposed fixes for FastAPI POST request errors and connection issues with OpenAI’s API.
• Validated startup logs and suggested next steps for API connectivity and system validations.

Achievements

• Successfully created and tested a Docker deployment setup for a FastAPI application.
• Improved input handling and error diagnostics for FastAPI services.
• Enhanced debugging strategies for both CLI and API executions.

Pending Tasks

• Implement suggested next steps from startup log validation, including model list checks and health check routes.