From 4ac39717c6b90938277a730c6a430ac3bafe868a Mon Sep 17 00:00:00 2001 From: Backend IM Bot Date: Tue, 25 Mar 2025 11:45:41 +0100 Subject: [PATCH] Update code in endpoints/aiderman.post.py --- endpoints/aiderman.post.py | 89 ++++++++++++++++++++++++++++++-------- 1 file changed, 71 insertions(+), 18 deletions(-) diff --git a/endpoints/aiderman.post.py b/endpoints/aiderman.post.py index 0382ee4..83c0896 100644 --- a/endpoints/aiderman.post.py +++ b/endpoints/aiderman.post.py @@ -1,27 +1,80 @@ +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. \ No newline at end of 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. \ No newline at end of file