app.py

from flask import Flask, request, jsonify
from sklearn.tree import DecisionTreeClassifier
import numpy as np

app = Flask(__name__)

# Basit örnek veriler (Bu veriler yerel olarak tutulabilir)
# Örnek veri formatı: [phishing_response, ransomware_response, ddos_response, malware_response]
example_data = [
    [0, 0, 1, 1],
    [1, 1, 0, 0],
    [1, 0, 1, 0],
    [0, 1, 0, 1]
]

# Örnek sonuçlar: 1 = güvenli, 0 = güvensiz
example_labels = [1, 0, 1, 0]

# Model eğitimi
model = DecisionTreeClassifier()
model.fit(example_data, example_labels)

@app.route('/analyze', methods=['POST'])
def analyze():
    data = request.json
    response = [data['phishing'], data['ransomware'], data['ddos'], data['malware']]
    prediction = model.predict([response])
    return jsonify({'prediction': int(prediction[0])})

if __name__ == '__main__':
    app.run(debug=True)