from flask import Flask, request, jsonify
import pandas as pd
from io import StringIO
from preprocess_test import Preprocess_Test

import torch
import torch.nn as nn
import torch.nn.functional as F



class Model(nn.Module):
    def __init__(self, input_shape, num_classes):
        super(Model, self).__init__()
        self.fc1 = nn.Linear(input_shape, 1024)
        self.bn1 = nn.BatchNorm1d(1024)
        self.fc2 = nn.Linear(1024, 512)
        self.bn2 = nn.BatchNorm1d(512)
        self.fc3 = nn.Linear(512, 256)
        self.bn3 = nn.BatchNorm1d(256)
        self.fc4 = nn.Linear(256, num_classes)

    def forward(self, x):
        x = F.relu(self.bn1(self.fc1(x)))
        x = F.relu(self.bn2(self.fc2(x)))
        x = F.relu(self.bn3(self.fc3(x)))
        x = self.fc4(x)
        return x
app=Flask(__name__)
app.config["TEMPLATES_AUTO_RELOAD"] = True

@app.route("/",methods=["GET"])
def root():
    return f"Test"


@app.route("/test", methods=["POST"])
def test():
    # Check if file is in request
    if 'file' not in request.files:
        return jsonify({"error": "No file part"}), 400
    
    file = request.files['file']
    
    # Check if file is selected
    if file.filename == '':
        return jsonify({"error": "No selected file"}), 400
    
    # Read CSV into DataFrame
    csv_data = file.read().decode('utf-8')
    df = pd.read_csv(StringIO(csv_data))
    obj=Preprocess_Test(df)
    obj.preprocess()
    results = obj.test()  # Capture the returned results
    print("Results : ", results)
    
    return jsonify({
        "message": "CSV processed successfully",
        "model_results": results 
    }), 200




if __name__ == "__main__":
    app.run(debug=True,port=7860)