"""
scripts/resolve_youtube_api_official.py
Queries the official YouTube Data API v3 to fetch verified channel subscriber
counts for remaining unverified cohort artists and writes directly to SQLite.
"""

import os
import sys
import time
from pathlib import Path
import pandas as pd
import requests
from dotenv import load_dotenv

ROOT_DIR = Path(__file__).resolve().parent.parent
if str(ROOT_DIR) not in sys.path:
    sys.path.insert(0, str(ROOT_DIR))

load_dotenv(ROOT_DIR / ".env")

from core.database import get_connection

API_KEY = os.getenv("YOUTUBE_API_KEY")


def get_channel_id_and_subs(artist_name):
    """Searches YouTube API for the top channel match and fetches subscriber count."""
    search_url = "https://www.googleapis.com/youtube/v3/search"
    search_params = {
        "part": "snippet",
        "q": f"{artist_name} official channel",
        "type": "channel",
        "maxResults": 1,
        "key": API_KEY,
    }

    try:
        r = requests.get(search_url, params=search_params, timeout=10)
        if r.status_code != 200:
            return None, 0

        items = r.json().get("items", [])
        if not items:
            return None, 0

        channel_id = items[0]["id"]["channelId"]

        stats_url = "https://www.googleapis.com/youtube/v3/channels"
        stats_params = {
            "part": "statistics",
            "id": channel_id,
            "key": API_KEY,
        }

        r_stats = requests.get(stats_url, params=stats_params, timeout=10)
        if r_stats.status_code == 200:
            stat_items = r_stats.json().get("items", [])
            if stat_items:
                subs = int(
                    stat_items[0].get("statistics", {}).get("subscriberCount", 0)
                )
                return channel_id, subs
    except Exception:
        pass

    return None, 0


def main():
    print("=" * 65)
    print("HIFFI INTELLIGENCE: OFFICIAL YOUTUBE API RESOLUTION")
    print("=" * 65)

    if not API_KEY:
        print("[!] ERROR: YOUTUBE_API_KEY is not configured in .env.")
        return

    df500 = pd.read_csv(ROOT_DIR / "data" / "hiffi_multiplatform_500.csv")
    cohort_names = [n.strip() for n in df500["name"]]

    conn = get_connection()
    cur = conn.cursor()

    # Target cohort artists with 0 or low placeholder subscriber counts (< 1000)
    cur.execute("""
        SELECT a.artist_name, COALESCE(t.subscribers_count, 0)
        FROM artists a
        JOIN telemetry_metrics t ON a.artist_id = t.artist_id
        WHERE t.subscribers_count IS NULL OR t.subscribers_count < 1000
    """)
    rows = cur.fetchall()

    targets = [r[0] for r in rows if r[0] in cohort_names]
    print(f"Targeting {len(targets)} unresolved cohort artists via official API...\n")

    updated = 0
    for idx, name in enumerate(targets, 1):
        channel_id, subs = get_channel_id_and_subs(name)

        if subs > 0:
            updated += 1
            cur.execute("""
                UPDATE telemetry_metrics
                SET subscribers_count = ?
                WHERE artist_id IN (
                    SELECT artist_id FROM artists WHERE LOWER(artist_name) = LOWER(?)
                )
            """, (subs, name))
            print(f"[{idx:>3}/{len(targets)}] {name:<25} -> {subs:,} subs (ID: {channel_id})")
        else:
            print(f"[{idx:>3}/{len(targets)}] {name:<25} -> No channel resolved")

        # Sleep briefly to respect API rate limits
        time.sleep(0.1)

    conn.commit()
    conn.close()

    print("\n" + "=" * 65)
    print(f"Completed: Successfully verified and updated {updated} / {len(targets)} artists.")
    print("=" * 65)


if __name__ == "__main__":
    main()