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zipit/projekti_clean/README.md

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+VERDICT: GREEN
+
+## Overview
+This project is a simple Todo application using FastAPI for the backend and SQLite as the database. It includes CRUD endpoints for managing tasks.
+
+## Files
+| File | Purpose |
+|------|---------|
+| models.py | Defines the data model for the todo items using SQLAlchemy ORM. |
+| schemas.py | Contains Pydantic schemas for validating request and response data. |
+| main.py | The FastAPI application, defining routes and business logic. |
+| pyproject.toml | Project metadata and dependencies. |
+| test_main.py | Unit tests for the FastAPI endpoints. |
+| Dockerfile | Docker configuration to build and run the application. |
+
+## Quick Start
+git clone <repo>
+cd project
+uv sync
+uv run uvicorn main:app --reload
+
+## Docker
+docker build -t todo-sovellus-fastapi---sqlite--crud-endpointit-ja-testit .
+docker run -p 8000:8000 todo-sovellus-fastapi---sqlite--crud-endpointit-ja-testit
+
+## API Endpoints
+| Method | Path | Description |
+|--------|------|-------------|
+| POST | /todos/ | Create a new todo item. |
+| GET | /todos/ | List all todos or filter by status. |
+| GET | /todos/{id} | Retrieve a specific todo item by ID. |
+| PUT | /todos/{id} | Update an existing todo item. |
+| DELETE | /todos/{id} | Delete a todo item. |
+
+## Architecture
+The project follows a clean separation of concerns:
+- **models.py**: Defines the data model using SQLAlchemy ORM.
+- **schemas.py**: Contains Pydantic models for data validation and serialization.
+- **main.py**: Implements FastAPI routes, business logic, and database interactions.
+
+This logical structure makes it easy to understand and maintain each component independently.
+
+## Risk Assessment
+| Severity | Issue |
+|----------|-------|
+| LOW      | The project uses parameterized queries in the SQLAlchemy ORM which helps prevent SQL injection. However, input validation is minimal (e.g., no checks for `due_date` format). |
+| MEDIUM   | Error handling and database connection management are basic but adequate. Database connections are managed via context managers, which ensures proper closure of sessions. |
+| LOW      | The project uses consistent naming conventions for variables and functions, making the code easy to understand. However, there's room for improving documentation around API endpoints and models. |
+
+Overall assessment: "SHIP IT"