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