scripts/train_time_series.py

import pandas as pd
from prophet import Prophet
from sklearn.metrics import mean_absolute_error
import joblib
from utils.preprocessing import preprocess_data
from huggingface_hub import HfApi, login
import os

def train_time_series():
    """Train the time-series model for optimal posting times."""
    # Load data
    df = pd.read_json("data/raw/engagement_metrics.json")
    df = preprocess_data(df)

    # Prepare time-series data
    time_series_data = df.groupby('posting_time').agg({'engagement_rate': 'mean'}).reset_index()
    time_series_data = time_series_data.rename(columns={'posting_time': 'ds', 'engagement_rate': 'y'})

    # Train Prophet model
    prophet_model = Prophet()
    prophet_model.fit(time_series_data)

    # Save the model locally
    joblib.dump(prophet_model, "prophet_model.pkl")