monitoring/profile_predict.py

import sys
from pathlib import Path

# Ajouter la racine du projet au PYTHONPATH
PROJECT_ROOT = Path(__file__).resolve().parents[1]
sys.path.append(str(PROJECT_ROOT))

import cProfile
import pstats
import io
import pandas as pd
from src.model import load_model

# -----------------------------
# Charger modèle et données
# -----------------------------
model = load_model()

sample_input = {
    "DAYS_BIRTH": -12000,
    "DAYS_EMPLOYED": -2000,
    "CODE_GENDER": "M",
    "AMT_INCOME_TOTAL": 120000,
    "AMT_CREDIT": 250000,
    "AMT_ANNUITY": 15000,
    "AMT_GOODS_PRICE": 230000,
    "EXT_SOURCE_2": 0.5,
    "EXT_SOURCE_3": 0.6,
    "CREDIT_GOODS_RATIO": 1.1,
    "DEBT_CREDIT_RATIO": 0.3,
    "ANNUITY_INCOME_RATIO": 0.12,
}

X = pd.DataFrame([sample_input])

# -----------------------------
# Profiling
# -----------------------------
pr = cProfile.Profile()
pr.enable()

model.predict_proba(X)

pr.disable()

# -----------------------------
# Résultats
# -----------------------------
s = io.StringIO()
ps = pstats.Stats(pr, stream=s).sort_stats("cumulative")
ps.print_stats(15)

print(s.getvalue())