Operazioni CRUD con SQLAlchemy
Implementi le operazioni di creazione, lettura, aggiornamento ed eliminazione per gli endpoint API usando l'ORM SQLAlchemy.
Operazioni CRUD con SQLAlchemy è una lezione FastAPI Backend Development Bootcamp gratuita su CoddyKit. Questa è la lezione 3 di 4. Puoi leggere la lezione completa qui gratuitamente — poi esercitati direttamente nel browser con un editor di codice integrato e un tutor IA disponibile 24/7. Fa parte del percorso di apprendimento FastAPI Backend Development Bootcamp, e i tuoi progressi si sincronizzano tra il web e l'app CoddyKit. Il corso FastAPI Backend Development Bootcamp include 4 lezioni in totale.
Parti di questa lezione non sono ancora state tradotte e vengono mostrate in inglese.
CRUD Operations: The Core
Welcome to Lesson 3! Today, we'll master CRUD operations using FastAPI and SQLAlchemy. CRUD stands for:
- Create: Adding new data.
- Read: Retrieving existing data.
- Update: Modifying existing data.
- Delete: Removing data.
These four operations are the foundation of almost any application that interacts with a database.
Setup: Models & Session
Before diving into CRUD, let's set up our SQLAlchemy model and Pydantic schemas. We'll use an in-memory SQLite database for our runnable examples.
First, our SQLAlchemy Todo model to represent a task:
from sqlalchemy import Column, Integer, String, Boolean
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class Todo(Base):
__tablename__ = "todos"
id = Column(Integer, primary_key=True, index=True)
title = Column(String, index=True)
description = Column(String, default="")
completed = Column(Boolean, default=False)And Pydantic schemas for request/response:
from pydantic import BaseModel
class TodoCreate(BaseModel):
title: str
description: str = ""
completed: bool = False
class TodoResponse(TodoCreate):
id: int
class Config:
orm_mode = TrueDatabase Session in FastAPI
In FastAPI, we manage database sessions using dependencies. This ensures each request gets a fresh session and it's properly closed.
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
SQLALCHEMY_DATABASE_URL = "sqlite:///./test.db"
engine = create_engine(SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False})
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
def get_db():
db = SessionLocal()
try:
yield db
finally:
db.close()This get_db function will be injected into our FastAPI endpoints.
Create: FastAPI Endpoint
To Create a new item, we'll use a POST request. The endpoint will receive data via a Pydantic model and use SQLAlchemy to add it to the database.
from fastapi import FastAPI, Depends
from sqlalchemy.orm import Session
# ... (imports for Base, Todo, TodoCreate, TodoResponse, get_db, engine)
app = FastAPI()
Base.metadata.create_all(bind=engine) # Create tables
@app.post("/todos/", response_model=TodoResponse)
def create_todo(todo: TodoCreate, db: Session = Depends(get_db)):
db_todo = Todo(title=todo.title, description=todo.description, completed=todo.completed)
db.add(db_todo)
db.commit()
db.refresh(db_todo) # Refresh to get ID and updated fields
return db_todoThe db.refresh() call updates our db_todo object with any database-generated values, like the id.
Create: SQLAlchemy Demo
Let's see the SQLAlchemy 'Create' steps in action. This runnable script will add a new todo to our in-memory database.
from sqlalchemy import create_engine, Column, Integer, String, Boolean
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
# 1. Setup Database and Model
SQLALCHEMY_DATABASE_URL = "sqlite:///:memory:"
engine = create_engine(SQLALCHEMY_DATABASE_URL)
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, index=True)
description = Column(String, default="")
completed = Column(Boolean, default=False)
# 2. Create Tables
Base.metadata.create_all(bind=engine)
# 3. Create a Session
db = SessionLocal()
# 4. Create Operation (C)
print("--- Creating a new Todo ---")
new_todo = Todo(title="Learn FastAPI", description="Complete CoddyKit lesson", completed=False)
db.add(new_todo)
db.commit()
db.refresh(new_todo)
print(f"Created Todo: ID={new_todo.id}, Title='{new_todo.title}'")
# 5. Close Session
db.close()Read: FastAPI Endpoints
To Read data, we use GET requests. We'll have two endpoints: one to get all todos, and another to get a single todo by its ID.
# ... (FastAPI app, imports, get_db, models)
@app.get("/todos/", response_model=list[TodoResponse])
def read_todos(db: Session = Depends(get_db)):
todos = db.query(Todo).all()
return todos
@app.get("/todos/{todo_id}", response_model=TodoResponse)
def read_todo(todo_id: int, db: Session = Depends(get_db)):
todo = db.query(Todo).filter(Todo.id == todo_id).first()
if todo is None:
raise HTTPException(status_code=404, detail="Todo not found")
return todoWe use .all() to get a list and .first() to get a single item. Remember to handle cases where an item isn't found!
Read: SQLAlchemy Demo
Let's run a demo for the 'Read' operation. We'll first create a few todos, then fetch them all, and finally fetch a specific one by ID.
from sqlalchemy import create_engine, Column, Integer, String, Boolean
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
# Setup Database and Model (same as before)
SQLALCHEMY_DATABASE_URL = "sqlite:///:memory:"
engine = create_engine(SQLALCHEMY_DATABASE_URL)
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, index=True)
description = Column(String, default="")
completed = Column(Boolean, default=False)
Base.metadata.create_all(bind=engine)
db = SessionLocal()
# Create some initial Todos for reading
todo1 = Todo(title="Buy groceries")
todo2 = Todo(title="Walk the dog")
db.add_all([todo1, todo2])
db.commit()
db.refresh(todo1)
db.refresh(todo2)
print(f"Created Todos: {todo1.id}, {todo2.id}\n")
# Read Operation (R)
print("--- Reading all Todos ---")
all_todos = db.query(Todo).all()
for t in all_todos:
print(f"ID={t.id}, Title='{t.title}'")
print("\n--- Reading a specific Todo (ID 1) ---")
specific_todo = db.query(Todo).filter(Todo.id == 1).first()
if specific_todo:
print(f"Found Todo: ID={specific_todo.id}, Title='{specific_todo.title}'")
else:
print("Todo with ID 1 not found.")
print("\n--- Reading a non-existent Todo (ID 99) ---")
non_existent_todo = db.query(Todo).filter(Todo.id == 99).first()
if non_existent_todo:
print(f"Found Todo: ID={non_existent_todo.id}")
else:
print("Todo with ID 99 not found.")
db.close()Update: FastAPI Endpoint
The Update operation (PUT or PATCH) allows us to modify an existing item. We'll typically find the item by ID, update its attributes, and commit the changes.
# ... (FastAPI app, imports, get_db, models)
class TodoUpdate(BaseModel):
title: str | None = None
description: str | None = None
completed: bool | None = None
@app.put("/todos/{todo_id}", response_model=TodoResponse)
def update_todo(todo_id: int, todo_update: TodoUpdate, db: Session = Depends(get_db)):
db_todo = db.query(Todo).filter(Todo.id == todo_id).first()
if db_todo is None:
raise HTTPException(status_code=404, detail="Todo not found")
# Update fields only if provided
for key, value in todo_update.dict(exclude_unset=True).items():
setattr(db_todo, key, value)
db.add(db_todo) # Re-add to session for update tracking
db.commit()
db.refresh(db_todo)
return db_todoUsing exclude_unset=True in Pydantic ensures only provided fields are updated.
Update: SQLAlchemy Demo
Here's a runnable example showing how to update a todo item's title and completion status using SQLAlchemy.
from sqlalchemy import create_engine, Column, Integer, String, Boolean
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
# Setup Database and Model
SQLALCHEMY_DATABASE_URL = "sqlite:///:memory:"
engine = create_engine(SQLALCHEMY_DATABASE_URL)
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, index=True)
description = Column(String, default="")
completed = Column(Boolean, default=False)
Base.metadata.create_all(bind=engine)
db = SessionLocal()
# Create an initial Todo to update
initial_todo = Todo(title="Draft report", completed=False)
db.add(initial_todo)
db.commit()
db.refresh(initial_todo)
print(f"Created Todo: ID={initial_todo.id}, Title='{initial_todo.title}', Completed={initial_todo.completed}\n")
# Update Operation (U)
print(f"--- Updating Todo ID {initial_todo.id} ---")
todo_to_update = db.query(Todo).filter(Todo.id == initial_todo.id).first()
if todo_to_update:
todo_to_update.title = "Finalize report"
todo_to_update.completed = True
db.commit()
db.refresh(todo_to_update)
print(f"Updated Todo: ID={todo_to_update.id}, Title='{todo_to_update.title}', Completed={todo_to_update.completed}")
else:
print(f"Todo with ID {initial_todo.id} not found.")
db.close()Delete: FastAPI Endpoint
The Delete operation removes an item from the database. This is usually done with a DELETE request, targeting an item by its ID.
# ... (FastAPI app, imports, get_db, models)
@app.delete("/todos/{todo_id}", status_code=204) # 204 No Content for successful deletion
def delete_todo(todo_id: int, db: Session = Depends(get_db)):
db_todo = db.query(Todo).filter(Todo.id == todo_id).first()
if db_todo is None:
raise HTTPException(status_code=404, detail="Todo not found")
db.delete(db_todo)
db.commit()
return {"message": "Todo deleted successfully"} # FastAPI automatically handles 204A successful deletion often returns a 204 No Content status code, meaning the request was fulfilled but there's no content to send back.
Delete: SQLAlchemy Demo
Let's run a script to demonstrate deleting a todo item. We'll create one, then delete it, and try to read it again to confirm its removal.
from sqlalchemy import create_engine, Column, Integer, String, Boolean
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
# Setup Database and Model
SQLALCHEMY_DATABASE_URL = "sqlite:///:memory:"
engine = create_engine(SQLALCHEMY_DATABASE_URL)
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, index=True)
description = Column(String, default="")
completed = Column(Boolean, default=False)
Base.metadata.create_all(bind=engine)
db = SessionLocal()
# Create an initial Todo to delete
todo_to_delete = Todo(title="Clean garage")
db.add(todo_to_delete)
db.commit()
db.refresh(todo_to_delete)
print(f"Created Todo: ID={todo_to_delete.id}, Title='{todo_to_delete.title}'\n")
# Delete Operation (D)
print(f"--- Deleting Todo ID {todo_to_delete.id} ---")
db.delete(todo_to_delete)
db.commit()
print(f"Todo ID {todo_to_delete.id} deleted.\n")
# Verify deletion by trying to read it
print("--- Verifying deletion ---")
verify_deleted = db.query(Todo).filter(Todo.id == todo_to_delete.id).first()
if verify_deleted is None:
print(f"Successfully verified: Todo ID {todo_to_delete.id} is no longer in the database.")
else:
print(f"Error: Todo ID {todo_to_delete.id} still found.")
db.close()CRUD Challenge
You've learned the core CRUD operations! Now, let's test your understanding of how SQLAlchemy methods map to these operations.
Recap & Next Steps
Great job! In this lesson, you've learned to implement the fundamental CRUD operations in FastAPI using SQLAlchemy:
- Create (POST): Using
db.add(),db.commit(), anddb.refresh(). - Read (GET): Using
db.query().all()for lists anddb.query().filter().first()for single items. - Update (PUT): Fetching an item, modifying its attributes, then
db.commit()anddb.refresh(). - Delete (DELETE): Fetching an item, then
db.delete()anddb.commit().
These skills are crucial for building any data-driven API. In the next course, we'll dive into advanced topics like user authentication and authorization to secure your API endpoints!
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Implementi le operazioni di creazione, lettura, aggiornamento ed eliminazione per gli endpoint API usando l'ORM SQLAlchemy. Eserciti FastAPI Backend Development Bootcamp con codice pratico che esegui direttamente nel browser, e un tutor IA 24/7 risponde alle tue domande mentre lavori sulla lezione.
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Tutte le lezioni di questo corso
- Fondamenti dell'ORM SQLAlchemy
- Collegare FastAPI a PostgreSQL
- Operazioni CRUD con SQLAlchemy
- Migrazioni del database con Alembic