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Recommender-Final.py
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Recommender-Final.py
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from flask import Flask, request, jsonify
import joblib
import pandas as pd
from pymongo import MongoClient
from datetime import datetime
import html
from flask_cors import CORS
app = Flask(__name__)
CORS(app)
# Charger le modèle (chargé une seule fois au démarrage de l'application)
model = joblib.load('model_Stacking.joblib')
# Connexion à MongoDB
client = MongoClient('mongodb://localhost:27017')
db = client['assurance']
information_collection = db['information']
def calculate_age(date_of_birth):
today = datetime.today()
birth_date = datetime.strptime(date_of_birth, "%Y-%m-%d")
age = today.year - birth_date.year - ((today.month, today.day) < (birth_date.month, birth_date.day))
return age
def determine_nature_client(address):
lowercase_address = address.lower().replace(" ", "_")
return "PARTICULIER" if "maroc" in lowercase_address else "MDM"
def determine_situation_familiale (situation_familiale):
lowercase_situation_familiale = situation_familiale.lower()
return lowercase_situation_familiale
def prepare_data(data):
age = calculate_age(data['date_of_birth'])
nature_client = determine_nature_client(data['address'])
situation_familiale = determine_situation_familiale(data['situation_familiale'])
input_data = pd.DataFrame([[age,
1 if nature_client == 'MDM' else 0,
1 if nature_client == 'PARTICULIER' else 0,
1 if data['sexe'] == 'F' else 0,
1 if data['sexe'] == 'M' else 0,
1 if situation_familiale == 'single' else 0,
1 if situation_familiale == 'divorced' else 0,
1 if situation_familiale == 'married' else 0,
1 if situation_familiale == 'widow' else 0]],
columns=['Age', 'NATURE CLIENT_MDM', 'NATURE CLIENT_PARTICULER',
'Sexe_F', 'Sexe_M', 'SITUATION FAMILIALE_C',
'SITUATION FAMILIALE_D', 'SITUATION FAMILIALE_M', 'SITUATION FAMILIALE_V'])
return input_data
@app.route('/predict/<date_of_birth>/<address>/<sexe>/<situation_familiale>', methods=['GET'])
def predict(date_of_birth, address, sexe, situation_familiale):
try:
input_data = prepare_data({
"date_of_birth": date_of_birth,
"address": address,
"sexe": sexe,
"situation_familiale": situation_familiale
})
prediction = model.predict(input_data)
# product_info = information_collection.find_one({"id": prediction[0]})
print(prediction)
# print(product_info)
return jsonify({"prediction": prediction.tolist()})
"""if product_info:
product_info.pop("_id", None)
product_info["description"] = html.escape(product_info["description"])
return jsonify({"prediction": prediction.tolist(), "product_info": product_info})
else:
return jsonify({"error": "Aucune information trouvée pour la prédiction."}), 404
"""
except Exception as e:
return jsonify({"error": str(e)}), 500
@app.route("/")
def hello():
return "Hello, World!"
if __name__ == '__main__':
app.run(debug=True)