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zipit/todo_new/prompts/2_coder_schemas.py.md

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+# 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 — including stdlib (from datetime import date, etc.)
+2. Import from other project files: from models import Todo, SessionLocal
+3. NEVER use relative imports (from .models) — ALWAYS absolute: from models import ...
+4. Pydantic schemas use different names than SQLAlchemy models: TodoCreate, TodoResponse (not Todo)
+5. SQLAlchemy engine: create_engine(url, connect_args={"check_same_thread": False})
+6. SessionLocal: sessionmaker(autocommit=False, autoflush=False, bind=engine)
+7. FastAPI dependencies: def get_db(): db = SessionLocal(); try: yield db; finally: db.close()
+8. Pydantic v2: use model_dump() not dict(), class Config: from_attributes = True
+9. All CRUD endpoints: POST (201), GET list, GET by id, PUT, DELETE (204)
+
+NEVER:
+- Leave out any import (EVERY type you use must be imported)
+- Use relative imports (from .models)
+- Add explanations or comments
+- Leave placeholder code or TODO comments
+- Use Flask syntax (app.run) in FastAPI projects
+- 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 — including stdlib (from datetime import date, etc.)
+2. Import from other project files: from models import Todo, SessionLocal
+3. NEVER use relative imports (from .models) — ALWAYS absolute: from models import ...
+4. Pydantic schemas use different names than SQLAlchemy models: TodoCreate, TodoResponse (not Todo)
+5. SQLAlchemy engine: create_engine(url, connect_args={"check_same_thread": False})
+6. SessionLocal: sessionmaker(autocommit=False, autoflush=False, bind=engine)
+7. FastAPI dependencies: def get_db(): db = SessionLocal(); try: yield db; finally: db.close()
+8. Pydantic v2: use model_dump() not dict(), class Config: from_attributes = True
+9. All CRUD endpoints: POST (201), GET list, GET by id, PUT, DELETE (204)
+
+NEVER:
+- Leave out any import (EVERY type you use must be imported)
+- Use relative imports (from .models)
+- Add explanations or comments
+- Leave placeholder code or TODO comments
+- Use Flask syntax (app.run) in FastAPI projects
+- 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, DateTime, Text
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.orm import sessionmaker
+from datetime import datetime
+
+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 Task(Base):
+    __tablename__ = "tasks"
+    id = Column(Integer, primary_key=True, index=True)
+    title = Column(String(100), nullable=False)
+    description = Column(Text)
+    status = Column(String(20), default="pending")
+    created_at = Column(DateTime, default=datetime.utcnow)
+
+Base.metadata.create_all(bind=engine)
+
+PROJECT REQUIREMENTS (from product owner):
+### PROJECT NAME: Todo-App
+
+### GOAL:
+Create a simple task manager application for individuals to keep track of their daily tasks.
+
+### CORE FEATURES:
+1. **Add Task**: Users can add new tasks with title and description.
+2. **View Tasks**: Users can see all their tasks in a list.
+3. **Edit Task**: Users can update the details of an existing task.
+4. **Delete Task**: Users can remove tasks they no longer need.
+5. **Mark as Complete**: Users can mark tasks as completed.
+6. **Filter Tasks**: Users can filter tasks by status (e.g., pending, completed).
+7. **Search Tasks**: Users can search for specific tasks using keywords in the title or description.
+
+### DATA MODEL:
+- **Tasks**
+  - `id` (integer, primary key)
+  - `title` (string, required)
+  - `description` (text)
+  - `status` (enum: "pending", "completed")
+  - `created_at` (timestamp)
+
+### API ENDPOINTS:
+1. **GET /tasks**: Retrieve a list of all tasks.
+2. **POST /tasks**: Create a new task with title, description, and status.
+3. **PUT /tasks/{id}**: Update an existing task by ID.
+4. **DELETE /tasks/{id}**: Delete a task by ID.
+5. **GET /tasks/status/{status}**: Retrieve tasks filtered by status.
+
+### CONSTRAINTS:
+- Must use SQLite as the database.
+- No authentication required for simplicity.
+
+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 TaskCreate(BaseModel):
+    title: str
+    description: str | None = None
+    status: str = "pending"
+
+class TaskResponse(TaskCreate):
+    id: int
+
+    class Config:
+        from_attributes = True
+```