Update code in endpoints/aiderman.post.py

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Backend IM Bot 2025-03-25 11:45:41 +01:00
parent cc2c11a0d3
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Sure, here's an example of a FastAPI endpoint that saves a list of books to the database using SQLAlchemy and Pydantic schemas:
```python
from fastapi import APIRouter, HTTPException
from typing import List
from models.book import Book
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from sqlalchemy import Column, Integer, String, create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
router = APIRouter()
books = [] # In-memory storage
from app.api.models.aiderman_model import *
from app.api.schemas.aiderman_schema import *
app = FastAPI()
@router.post("/aiderman", status_code=201)
async def save_books(book_list: List[Book]):
"""Save a list of books to the database"""
if request.method != "POST":
raise HTTPException(status_code=405, detail="Method Not Allowed")
# SQLAlchemy setup
engine = create_engine('sqlite:///books.db', echo=True)
Session = sessionmaker(bind=engine)
Base = declarative_base()
books.extend(book_list)
# SQLAlchemy model
return {
"method": "POST",
"_verb": "post",
"message": "Books saved successfully",
"books_saved": len(book_list)
}
id = Column(Integer, primary_key=True)
title = Column(String)
author = Column(String)
def __repr__(self):
return f"Book(id={self.id}, title='{self.title}', author='{self.author}')"
Base.metadata.create_all(engine)
# Pydantic schema
class Config:
orm_mode = True
# Endpoint to save a list of books
@app.post("/aiderman")
def save_books(books: List[BookSchema]):
session = Session()
try:
book_instances = [Book(title=book.title, author=book.author) for book in books]
session.add_all(book_instances)
session.commit()
return {"message": "Books saved successfully"}
except Exception as e:
session.rollback()
raise HTTPException(status_code=500, detail=str(e))
finally:
session.close()
```
This endpoint accepts a list of `Book` objects in the request body and saves them to an in-memory list called `books`. It returns a JSON response with the number of books saved and the required method metadata.
Here's how it works:
Ensure that the `Book` model is defined in `models/book.py` with the necessary fields, and imported correctly in this file.
1. We define a SQLAlchemy model `Book` with `id`, `title`, and `author` columns.
2. We create a Pydantic schema `BookSchema` that defines the structure of a book object.
3. The `save_books` endpoint accepts a list of `BookSchema` objects as input.
4. Inside the endpoint, we create a SQLAlchemy session and iterate over the list of books.
5. For each book, we create a `Book` instance using the data from the `BookSchema` object.
6. We add all the `Book` instances to the session using `session.add_all`.
7. We commit the changes to the database using `session.commit()`.
8. If any exception occurs during the process, we rollback the transaction using `session.rollback()`.
9. Finally, we close the session.
To use this endpoint, you can send a POST request to `/aiderman` with a JSON payload containing a list of book objects, like this:
```json
[
{
"title": "The Great Gatsby",
"author": "F. Scott Fitzgerald"
},
{
"title": "To Kill a Mockingbird",
"author": "Harper Lee"
}
]
```
This will save the list of books to the `books` table in the `books.db` SQLite database.