Delete app/main.py

app/main.py

@@ -1,40 +0,0 @@
-
-from fastapi import FastAPI, HTTPException, File, UploadFile
-from fastapi.responses import FileResponse
-from app.services.preprocessing import data_quality, standardize_data_types, handle_missing_data, handle_outliers, generate_final_report, save_cleaned_data
-import pandas as pd
-import io
-import os
-
-app = FastAPI(title="Data Preprocessing")
-os.makedirs("output", exist_ok=True)
-
-@app.get("/")
-async def root():
-    return {"message": "Welcome to the Data Preprocessing API!"}
-
-@app.post("/preprocess_data/")
-async def upload_csv(upload_file: UploadFile = File(...)):
-    try:
-        if not upload_file.filename.endswith('.csv'):
-            raise HTTPException(status_code=400, detail="File must be in CSV format!")
-        content = await upload_file.read()
-        df = pd.read_csv(io.BytesIO(content), encoding_errors="replace")
-        if df.empty:
-            raise HTTPException(status_code=400, detail="File is empty, upload the correct file")
-
-        data_quality(df)
-        df = standardize_data_types(df)
-        df = handle_missing_data(df)
-        df = handle_outliers(df)
-
-        REPORT_PATH = "output/preprocessing_report.txt"
-        generate_final_report(df, REPORT_PATH)
-
-        CLEANED_DATA_PATH = "output/cleaned_dataset.csv"
-        save_cleaned_data(df, CLEANED_DATA_PATH)
-
-        return FileResponse(CLEANED_DATA_PATH, media_type="text/csv", filename="cleaned_dataset.csv")
-
-    except Exception as e:
-        raise HTTPException(status_code=400, detail=f"Error processing file: {str(e)}")