src/pre.py

import joblib
import os
import pandas as pd
MODEL_PATH = os.path.join("models", "xgboost_cyclone_model.pkl")
model = joblib.load(MODEL_PATH)
new_data = pd.DataFrame([{
    'LAT': 15.0,                    # Current latitude
    'LON': 85.0,                    # Current longitude
    'MAX_WIND': 80,                 # Current max wind speed (knots)
    'MIN_PRESSURE': 980,            # Current min pressure (hPa)
    'RAD_NE': 50,                   # Radius NE (km)
    'RAD_SE': 50,                   # Radius SE (km)
    'RAD_SW': 50,                   # Radius SW (km)
    'RAD_NW': 50,                   # Radius NW (km)
    'RAD50_NE': 40,                 # Radius 50kt NE
    'RAD50_SE': 40,
    'RAD50_SW': 40,
    'RAD50_NW': 40,
    'RAD64_NE': 30,                 # Radius 64kt NE
    'RAD64_SE': 30,
    'RAD64_SW': 30,
    'RAD64_NW': 30,
    'MONTH': 12,
    'HOUR': 12,
    'DAY_OF_YEAR': 345,
    'SIN_DOY': 0.5,
    'COS_DOY': 0.87,
    'SIN_HOUR': 0.5,
    'COS_HOUR': 0.87,
    'STORM_AGE_HOURS': 24,
    'STORM_DURATION_HOURS': 36,
    'DIST_TO_ODISHA_KM': 300,
    'MOVEMENT_SPEED_KPH': 20,
    'WIND_t-6': 78,
    'WIND_t-12': 76,
    'WIND_t-18': 74,
    'WIND_t-24': 72,
    'PRESSURE_t-6': 982,
    'PRESSURE_t-12': 984,
    'PRESSURE_t-18': 986,
    'PRESSURE_t-24': 988,
    'WIND_CHANGE_6H': 2,
    'PRESSURE_CHANGE_6H': -2,
    'INTENSIFICATION_RATE': 1,
    'WIND_CHANGE_12H': 4,
    'PRESSURE_CHANGE_12H': -4,
    'STORM_DB': 0,
    'STORM_EX': 0,
    'STORM_MD': 0,
    'STORM_TC': 1,
    'STORM_TD': 0,
    'STORM_TS': 0,
    'STORM_TY': 0,
    'STORM_WV': 0,
    'AVG_RAD34': 45,
    'AVG_RAD50': 40,
    'AVG_RAD64': 30,
    'STORM_SIZE': 3
}])
prediction = model.predict(new_data)
print(f"Predicted wind speed in 24h: {prediction[0]:.1f} knots")