feat : 일기 저장 , 로드

.gitignore

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+
+# ignore all files in any directory named temp
+api_key/
+testver/
+test_images/
+__pycache__/

backend/main1_4.py

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+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+import openai
+import json
+import uuid
+from fastapi import File, UploadFile
+from fastapi.responses import JSONResponse
+from sqlalchemy import create_engine, Column, String, Integer, Date
+from sqlalchemy.orm import sessionmaker
+from sqlalchemy.ext.declarative import declarative_base
+import os
+import requests
+from fastapi.middleware.cors import CORSMiddleware
+from datetime import datetime
+import io
+from PIL import Image
+
+# api key 불러오기
+with open("secrets.json") as config_file:
+    config_data = json.load(config_file)
+    print(config_data)
+OPENAI_API_KEY = config_data["openai_api_key"]
+HUG_API_KEY=config_data["hug_api_key"]
+
+# # 이미지 파일 저장 경로
+IMAGE_STORAGE_PATH = "/home/ubuntu/img/"
+#IMAGE_STORAGE_PATH="/Users/ss3un9/fastapi/test_images/"
+
+
+openai.api_key = OPENAI_API_KEY
+
+with open("db.json") as secret_file:
+    secret_data = json.load(secret_file)
+    db_user = secret_data["db_user"]
+    db_password = secret_data["db_password"]
+    db_host = secret_data["db_host"]
+    db_name = secret_data["db_name"]
+
+app = FastAPI()
+
+# MySQL 연결 문자열 생성
+SQLALCHEMY_DATABASE_URL = f"mysql://{db_user}:{db_password}@{db_host}/{db_name}"
+# 데이터베이스 엔진 및 세션 설정
+engine = create_engine(SQLALCHEMY_DATABASE_URL)
+SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
+Base = declarative_base()
+
+class Data(Base):
+    __tablename__ = "data"
+
+    no = Column(Integer, primary_key=True, autoincrement=True)
+    date = Column(Date)  # 날짜 컬럼 추가
+    title = Column(String)
+    weather = Column(String)
+    contents = Column(String)
+    img_location = Column(String)
+
+#CORS
+origins = [
+    "*"
+]
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=origins,
+    allow_credentials=True, # cookie 포함 여부를 설정한다. 기본은 False
+    allow_methods=["*"],    # 허용할 method를 설정할 수 있으며, 기본값은 'GET'이다.
+    allow_headers=["*"],	# 허용할 http header 목록을 설정할 수 있으며 Content-Type, Accept, Accept-Language, Content-Language은 항상 허용된다.
+)
+
+class QuestionInput(BaseModel):
+    title: str
+    weather: str
+    contents: str
+
+@app.post("/posts/save")
+async def get_answer(data: QuestionInput):
+    title=data.title
+    weather=data.weather
+    contents=data.contents
+
+    # GPT-3 호출 (v1/chat/completions 엔드포인트 사용)
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=[
+            {"role": "system", "content": "You are the assistant summarizing the sentence"},
+            {"role": "user", "content":  f"{contents} \n Please translate the previous sentence into English"},
+        ],
+
+        temperature=0.5,
+    )
+
+    answer = response.choices[0].message["content"].strip()
+
+
+    print(f"prompt : {answer}") #프롬프트 출력 
+
+    API_URL = "https://api-inference.huggingface.co/models/nerijs/pixel-art-xl" # 사용 모델 
+    headers = {"Authorization": HUG_API_KEY} 
+    object_key_name = str(uuid.uuid4()) + '.jpg'  # 랜덤이름
+
+    def query(payload):
+        response = requests.post(API_URL, headers=headers, json=payload)
+        return response.content
+
+    image_bytes = query({
+        "inputs": answer, 
+    })
+
+    image = Image.open(io.BytesIO(image_bytes))
+
+    temp_file = IMAGE_STORAGE_PATH+object_key_name # 이미지를 저장할 경로 설정
+    image.save(temp_file)
+
+
+    current_date = datetime.now().strftime("%Y-%m-%d") 
+
+
+    db = SessionLocal()
+    db_entry = Data(title=title,date=current_date,weather=weather, contents=contents, img_location=object_key_name)
+    db.add(db_entry)
+    db.commit()
+    db.refresh(db_entry)
+    db.close()
+
+    return {"image_name": f"static/{object_key_name}"} 
+
+
+
+@app.get("/posts/result/{filename}")
+async def get_result(filename: str):
+    # 데이터베이스에서 filename과 일치하는 행 조회
+    img_name=filename+".png"
+    db = SessionLocal()
+    data_entry = db.query(Data).filter_by(img_location=img_name).first()
+    db.close()
+
+    if data_entry:
+        # 조회된 데이터가 있는 경우 반환
+        return {
+            "date": data_entry.date.strftime("%Y-%m-%d"),
+            "title": data_entry.title,
+            "weather": data_entry.weather,
+            "contents": data_entry.contents,
+            "img_name": "static/" + data_entry.img_location,
+        }
+    else:
+        # 데이터가 없는 경우 에러 반환
+        raise HTTPException(status_code=404, detail="Data not found")