Update code in endpoints/pen.post.py

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Backend IM Bot 2025-03-25 15:22:01 +01:00
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Sure, here's an example of a FastAPI endpoint that saves data to a database using SQLAlchemy and Pydantic:
```python
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
app = FastAPI()
# SQLAlchemy setup
Base = declarative_base()
engine = create_engine('sqlite:///database.db', echo=True)
Session = sessionmaker(bind=engine)
# SQLAlchemy model
class Pen(Base):
__tablename__ = 'pens'
id = Column(Integer, primary_key=True)
name = Column(String)
color = Column(String)
brand = Column(String)
def __repr__(self):
return f"Pen(id={self.id}, name='{self.name}', color='{self.color}', brand='{self.brand}')"
Base.metadata.create_all(engine)
# Pydantic model
class PenSchema(BaseModel):
name: str
color: str
brand: str
class Config:
orm_mode = True
# Endpoint to save a pen to the database
@app.post('/pen')
def save_pen(pen: PenSchema):
session = Session()
try:
pen_obj = Pen(name=pen.name, color=pen.color, brand=pen.brand)
session.add(pen_obj)
session.commit()
return {"message": "Pen saved successfully"}
except Exception as e:
session.rollback()
raise HTTPException(status_code=500, detail=str(e))
finally:
session.close()
```
Here's a breakdown of the code:
1. We import the necessary modules from FastAPI, Pydantic, and SQLAlchemy.
2. We set up SQLAlchemy by creating a declarative base, engine, and session maker.
3. We define the `Pen` model using SQLAlchemy's `declarative_base` and `Column` classes.
4. We create a Pydantic model `PenSchema` that will be used for data validation and serialization/deserialization.
5. We define the `/pen` endpoint using the `@app.post` decorator from FastAPI.
6. Inside the `save_pen` function, we create a new SQLAlchemy session and try to save the pen data to the database.
7. If the operation is successful, we commit the changes and return a success message.
8. If an exception occurs, we roll back the changes and raise an `HTTPException` with a 500 status code and the error message.
9. Finally, we close the session in the `finally` block.
To use this endpoint, you can send a POST request to `/pen` with a JSON payload containing the pen data, like this:
```json
{
"name": "Pilot G2",
"color": "Blue",
"brand": "Pilot"
}
```
The endpoint will validate the data using the `PenSchema` model, create a new `Pen` instance, and save it to the database.
Note that you'll need to have SQLAlchemy and a compatible database driver installed for this code to work. In this example, we're using SQLite, but you can easily switch to a different database by modifying the engine URL.