from fastapi import Depends, FastAPI, HTTPException, status from sqlalchemy.orm import Session import schemas, models from transformers import pipeline import database app = FastAPI() models.database.Base.metadata.create_all(bind=database.engine) classifier = pipeline("sentiment-analysis") # Database session dependency def get_db(): db = database.SessionLocal() try: yield db finally: db.close() @app.post("/analyze_sentiment", status_code=status.HTTP_201_CREATED) def create_sentiment_result(sentiment_result: schemas.SentimentResultCreate, text_input: str, db: Session = Depends(get_db)): # Perform input validation if not isinstance(text_input, str) or not text_input.strip(): raise HTTPException(status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, detail="Invalid text input") try: text_content = text_input sentiment_analysis_result = classifier(text_content) # Create a new SentimentResult instance new_sentiment_result = models.SentimentResult( score=sentiment_analysis_result[0]['score'], label = sentiment_analysis_result[0]['label'], text_input=text_content ) # Add the new SentimentResult to the database db.add(new_sentiment_result) db.commit() db.refresh(new_sentiment_result) return new_sentiment_result except Exception as e: raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=f"An error occurred: {str(e)}") @app.delete("/sentiment/{id}", status_code=status.HTTP_204_NO_CONTENT) def delete_sentiment_result(id: int, db: Session = Depends(get_db)): # Retrieve the sentiment result and check for existence sentiment_result_to_delete = db.query(models.SentimentResult).filter(models.SentimentResult.id == id).first() if sentiment_result_to_delete is None: raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=f"SentimentResult with ID {id} not found") # Delete the sentiment result db.delete(sentiment_result_to_delete) db.commit()