📅 2024-04-15 — Session: Developed and Documented API and Docker Setup
🕒 03:50–05:10
🏷️ Labels: API, Docker, Flask, Documentation, Containerization
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The session aimed to enhance the development and deployment environment for a diamond price prediction application by refining the API documentation and containerizing the application using Docker.
Key Activities:
- API Documentation: Detailed documentation for the
/predictAPI endpoint was created, including request parameters, example usage, and error handling improvements. - Swagger API Testing: Constructed JSON payloads for testing the API endpoint in Swagger, with emphasis on default values and model naming conventions.
- Swagger Specification: Enhanced the Swagger specification by adding default values to improve usability.
- Flask Application Assessment: Analyzed Flask application logs to identify areas for improvement in error handling and documentation.
- Flask Application Structure: Provided guidelines for segregating responsibilities within the Flask application to enhance maintainability.
- Flask Application Enhancements: Suggested additional endpoints and features for the Flask application, including health checks and metrics.
- Docker Containerization: Developed a guide for containerizing the Flask application using Docker, including Dockerfile creation and image building.
- Docker Installation and Management: Provided instructions for installing Docker on various operating systems and resolving common permission errors.
Achievements:
- Comprehensive API documentation and testing setup were established.
- The Flask application was structured for better maintainability and enhanced with additional features.
- A complete guide for containerizing the application using Docker was developed.
Pending Tasks:
- Implement the suggested enhancements for the Flask application.
- Conduct further testing of the Docker container in a production-like environment.