# File: ai-service/scripts/snapshot_daily_stats.py (NEW FILE)
# This is a backend script, no AI model yet.

import pandas as pd
from sqlalchemy import create_engine, text
from datetime import date, timedelta
import os, sys

# ... (Setup code to get ROOT_DIR and load_dotenv, like in our other scripts)

def take_daily_snapshot():
    print("--- 📸 Starting Daily Influencer Stat Snapshot Process ---")
    db_url = os.getenv("DATABASE_URL")
    if not db_url: return

    engine = create_engine(db_url)
    today = date.today()
    yesterday = today - timedelta(days=1)

    # SQL to calculate yesterday's average stats for all influencers who made submissions
    sql = text("""
        WITH daily_agg AS (
            SELECT
                cs.influencer_id,
                AVG(cs.likes) as avg_likes,
                AVG(cs.comments) as avg_comments,
                AVG(cs.engagement_rate) as avg_engagement_rate,
                -- Get the latest follower count for the influencer
                (SELECT ip.follower_count FROM public.influencer_profiles ip WHERE ip.profile_id = cs.influencer_id LIMIT 1) as follower_count
            FROM public.campaign_submissions cs
            WHERE DATE(cs.created_at) = :yesterday_date
            GROUP BY cs.influencer_id
        )
        INSERT INTO public.daily_influencer_stats (profile_id, date, avg_likes, avg_comments, avg_engagement_rate, follower_count)
        SELECT influencer_id, :yesterday_date, avg_likes, avg_comments, avg_engagement_rate, follower_count
        FROM daily_agg
        ON CONFLICT (profile_id, date) DO NOTHING; -- Avoid duplicates
    """)

    try:
        with engine.connect() as connection:
            result = connection.execute(sql, {'yesterday_date': yesterday})
            print(f"✅ Snapshot complete. {result.rowcount} influencers' stats were updated for {yesterday}.")
    except Exception as e:
        print(f"🔴 ERROR during daily snapshot: {e}")

if __name__ == '__main__':
    take_daily_snapshot()