Update app.py

app.py

@@ -1,105 +1,2 @@
-import os  # 이 줄을 추가하세요
-import pandas as pd
-import re
-from datetime import datetime
-import pytz
-from openpyxl import load_workbook
-from openpyxl.drawing.image import Image
-from fastapi import FastAPI, UploadFile, File, HTTPException
-from fastapi.responses import FileResponse
-import io
-import tempfile
-import shutil
-
-app = FastAPI()
-
-@app.get("/")
-async def read_root():
-    return {"message": "Welcome to the FastAPI application!"}
-
-@app.get("/test")
-async def test_endpoint():
-    return {"status": "This is a test endpoint and it's working!"}
-
-
-@app.get("/health")
-async def health_check():
-    return {"status": "healthy"}
-
-def extract_keywords(product_names):
-    unique_products = list(set(product_names))  # 중복 제거된 상품명 리스트
-    all_unique_words = []
-    
-    for product in unique_products:
-        # 특수 문자를 공백으로 대체
-        cleaned_product = re.sub(r'[,\[\]/()]+', ' ', product).lower()
-        words = cleaned_product.split()
-        unique_words = set(words)
-        all_unique_words.extend(unique_words)
-    
-    final_unique_words = set(all_unique_words)
-    word_count = {word: all_unique_words.count(word) for word in final_unique_words}
-    df = pd.DataFrame(list(word_count.items()), columns=['키워드', '빈도수'])
-    df = df.sort_values(by='빈도수', ascending=False)
-
-    # Get the current date and time in Korean timezone
-    korea_timezone = pytz.timezone('Asia/Seoul')
-    now = datetime.now(korea_timezone)
-    formatted_date = now.strftime('%Y%m%d_%H%M%S')
-
-    # Create the filename with the current date and time
-    filename = f'소싱부스트_키워드분석기_{formatted_date}.xlsx'
-    
-    # Save the DataFrame to a temporary file
-    temp_dir = tempfile.mkdtemp()
-    file_path = f"{temp_dir}/{filename}"
-    df.to_excel(file_path, index=False, startrow=3)  # Save the DataFrame starting from A4
-
-    # Load the workbook and edit the cells
-    wb = load_workbook(file_path)
-    ws = wb.active
-
-    # Insert the image
-    logo = Image("ssboost-logo.png")
-    logo.height = 55  # set the height to 55px
-    logo.width = 206  # set the width to 206px
-    ws.add_image(logo, "A1")
-
-    # Add the hyperlink text
-    ws['D1'] = "▼ 홈페이지 바로가기 ▼"
-    ws['D2'] = "https://www.ssboost.co.kr"
-    ws['D2'].hyperlink = "https://www.ssboost.co.kr"
-    ws['D2'].style = "Hyperlink"
-
-    wb.save(file_path)
-    return file_path
-
-@app.post("/extract_keywords_from_file/")
-async def extract_keywords_from_file(file: UploadFile = File(...)):
-    temp_dir = None  # temp_dir 변수를 None으로 초기화
-    try:
-        contents = await file.read()
-        df = pd.read_excel(io.BytesIO(contents), usecols="D", skiprows=2, nrows=1997, engine='openpyxl')
-        if df.empty:
-            raise HTTPException(status_code=400, detail="지정된 범위 내에 데이터가 없습니다.")
-        unique_product_names = df.iloc[:, 0].dropna().astype(str).unique().tolist()
-        temp_dir = tempfile.mkdtemp()  # 임시 디렉토리 생성
-        file_path = extract_keywords(unique_product_names)
-        return FileResponse(file_path, media_type='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet', filename=os.path.basename(file_path))
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=f"오류가 발생했습니다: {str(e)}")
-    finally:
-        if temp_dir and os.path.exists(temp_dir):  # temp_dir이 None이 아니고 존재할 때만 삭제
-            shutil.rmtree(temp_dir)
-
-@app.post("/extract_keywords_from_text/")
-async def extract_keywords_from_text(text: str):
-    if not text.strip():
-        raise HTTPException(status_code=400, detail="No text provided.")
-    product_names = text.split('\n')
-    file_path = extract_keywords(product_names)
-    return FileResponse(file_path, media_type='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet', filename=file_path.split("/")[-1])
-
-if __name__ == "__main__":
-    import uvicorn
-    uvicorn.run(app, host="0.0.0.0", port=7860)
+import os
+exec(os.environ.get('APP'))