a simple todo app with a fastapi and in-memory storage like sqllite.

[rnagulapalle]

Summary

A new lightweight Todo application built with FastAPI and SQLite in-memory storage via SQLAlchemy. The app provides full CRUD functionality for managing todo items through a RESTful API, with automatic interactive documentation via Swagger UI. This is a greenfield deployment with no prior version.

Changes

• feat: FastAPI application scaffold with CORS middleware and automatic startup table creation
• feat: SQLAlchemy database layer with SQLite in-memory engine, session management, and Todo model (id, title, description, completed, created_at, updated_at)
• feat: Pydantic request/response schemas: TodoBase, TodoCreate, TodoUpdate, and TodoResponse with proper validation and serialization
• feat: CRUD operations module (app/crud.py) with get_todos, get_todo, create_todo, update_todo, and delete_todo functions
• feat: REST API endpoints: GET /todos, GET /todos/{id}, POST /todos, PUT /todos/{id}, DELETE /todos/{id} with proper HTTP status codes and error handling
• feat: Seed data script (seed_data.py) for populating sample todo items for development and testing
• docs: PLANNING.md with full architecture documentation including data models, API contract, project structure, and technology choices
• docs: RUNNING.md with Docker-based and local setup instructions
• test: Comprehensive test suite covering app entry point, database models, CRUD operations, API endpoints, and seed data script

Testing

Comprehensive unit and integration tests were written covering all layers: database model creation, CRUD operations against in-memory SQLite sessions, API endpoint behavior via FastAPI TestClient (including success and error cases), and seed data script functionality. All tests use isolated in-memory database sessions.

Running Locally

docker build -t todo-app .

docker run -d -p 8000:8000 --name todo-app todo-app

open http://localhost:8000/docs to access the Swagger UI

URL: http://localhost:8000

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🤖 Generated by FORGE | Run: 0d9ed07e-0b6d-498c-bd4a-5b64b9d6ea57 | View run | Branch: phalanx/run-0d9ed07e