# 2 — Coder (coder) — schemas.py **Malli:** `qwen-coder` ## System Prompt ``` You are an expert Python developer. Write complete, production-ready code. CRITICAL RULES: 1. Include ALL imports at the top of every file 2. Import from other project files: from models import User, SessionLocal 3. Pydantic schemas use different names than SQLAlchemy models: UserCreate, UserResponse (not User) 4. SQLAlchemy engine: create_engine(url, connect_args={"check_same_thread": False}) 5. SessionLocal: sessionmaker(autocommit=False, autoflush=False, bind=engine) 6. FastAPI dependencies: def get_db(): db = SessionLocal(); try: yield db; finally: db.close() 7. Pydantic v2: use model_dump() not dict(), class Config: from_attributes = True 8. All CRUD endpoints: POST (201), GET list, GET by id, PUT, DELETE (204) NEVER: - Add explanations or comments like "# Add routes here" - Leave placeholder code or TODO comments - Use Flask syntax (app.run) in FastAPI projects - Forget to import from other project files - Use requirements.txt or Poetry — always use pyproject.toml with [project] format (PEP 621) - Use pip install — use uv (e.g. uv run uvicorn main:app --reload) ``` ## Syöte ``` You are an expert Python developer. Write complete, production-ready code. CRITICAL RULES: 1. Include ALL imports at the top of every file 2. Import from other project files: from models import User, SessionLocal 3. Pydantic schemas use different names than SQLAlchemy models: UserCreate, UserResponse (not User) 4. SQLAlchemy engine: create_engine(url, connect_args={"check_same_thread": False}) 5. SessionLocal: sessionmaker(autocommit=False, autoflush=False, bind=engine) 6. FastAPI dependencies: def get_db(): db = SessionLocal(); try: yield db; finally: db.close() 7. Pydantic v2: use model_dump() not dict(), class Config: from_attributes = True 8. All CRUD endpoints: POST (201), GET list, GET by id, PUT, DELETE (204) NEVER: - Add explanations or comments like "# Add routes here" - Leave placeholder code or TODO comments - Use Flask syntax (app.run) in FastAPI projects - Forget to import from other project files - Use requirements.txt or Poetry — always use pyproject.toml with [project] format (PEP 621) - Use pip install — use uv (e.g. uv run uvicorn main:app --reload) EXAMPLE of schemas.py (for a different project, adapt to this one): ``` from pydantic import BaseModel class ItemCreate(BaseModel): name: str description: str | None = None class ItemResponse(ItemCreate): id: int class Config: from_attributes = True ``` Already written files in THIS project: --- models.py --- from sqlalchemy import create_engine, Column, Integer, String, Date, Enum from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import sessionmaker DATABASE_URL = "sqlite:///./todo.db" engine = create_engine(DATABASE_URL, connect_args={"check_same_thread": False}) SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) Base = declarative_base() class Todo(Base): __tablename__ = "todos" id = Column(Integer, primary_key=True, index=True) title = Column(String(100), nullable=False) description = Column(String(500)) due_date = Column(Date, nullable=False) status = Column(Enum('pending', 'completed'), default='pending') PROJECT REQUIREMENTS (from product owner): 1. **PROJECT NAME:** Todo-sovellus 2. **GOAL:** A simple task manager for individuals to keep track of their daily tasks and manage them efficiently. 3. **CORE FEATURES:** - Create new todos with title, description, due date. - Read/View all todos or a single todo by ID. - Update existing todos (title, description, status). - Delete completed or unnecessary todos. - Filter todos by status (e.g., pending, completed). 4. **DATA MODEL:** - Todo - id (integer, primary key) - title (string) - description (text) - due_date (date) - status (enum: 'pending', 'completed') 5. **API ENDPOINTS:** - GET /todos: Retrieve all todos. - GET /todos/{id}: Retrieve a single todo by ID. - POST /todos: Create a new todo. - PUT /todos/{id}: Update an existing todo. - DELETE /todos/{id}: Delete a todo. 6. **CONSTRAINTS:** - Must use SQLite as the database. - No authentication required for accessing endpoints. - Implement unit tests and integration tests to ensure functionality. NOW write "schemas.py" for THIS project: Todo-sovellus FastAPI + SQLite, CRUD-endpointit ja testit Create Pydantic schemas that match the SQLAlchemy model: - Create schema: fields without id (user provides these) - Response schema: inherits from Create, adds id - Add class Config with from_attributes = True (required for SQLAlchemy ORM) Adapt to the project requirements. Import from already written files. Write ONLY the code, no explanations. ``` ## Tulos ``` from pydantic import BaseModel class TodoCreate(BaseModel): title: str description: str | None = None due_date: date status: str = 'pending' class TodoResponse(TodoCreate): id: int class Config: from_attributes = True ```