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hiffi-artist-intelligence/scripts/resolve_missing_platform_urls.py
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"""
scripts/resolve_missing_platform_urls.py
Strictly resolves missing YouTube and Spotify links for the 500 Hip-Hop cohort only.
"""
from pathlib import Path
import sys
import os
import urllib.parse
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
YOUTUBE_API_KEY = os.getenv("YOUTUBE_API_KEY")
def search_youtube_channel_id(artist_name):
if not YOUTUBE_API_KEY:
return None
url = "https://www.googleapis.com/youtube/v3/search"
params = {
"part": "snippet",
"q": f"{artist_name} Official Artist Topic",
"type": "channel",
"maxResults": 1,
"key": YOUTUBE_API_KEY
}
try:
r = requests.get(url, params=params, timeout=10)
if r.status_code == 200:
items = r.json().get("items", [])
if items:
return items[0]["snippet"]["channelId"]
except Exception:
pass
return None
def main():
print("=" * 65)
print("HIFFI INTELLIGENCE: TARGETED 500 COHORT URL RESOLUTION")
print("=" * 65)
csv_path = ROOT_DIR / "data" / "hiffi_multiplatform_500.csv"
if not csv_path.exists():
csv_path = ROOT_DIR / "cleaned_artists_inventory.csv"
df_csv = pd.read_csv(csv_path)
name_col = "name" if "name" in df_csv.columns else "artist_name"
cohort_names = [str(n).strip() for n in df_csv[name_col].dropna()]
conn = get_connection()
cur = conn.cursor()
placeholders = ",".join(["?"] * len(cohort_names))
cur.execute(f"""
SELECT a.artist_id, a.artist_name, a.youtube_url, a.spotify_url
FROM artists a
WHERE a.artist_name IN ({placeholders})
AND (a.youtube_url IS NULL OR a.youtube_url = ''
OR a.spotify_url IS NULL OR a.spotify_url = '')
""", cohort_names)
rows = cur.fetchall()
print(f"Targeting strictly the {len(rows)} cohort artists with missing URLs...\n")
for idx, (artist_id, name, yt_url, sp_url) in enumerate(rows, start=1):
updates = {}
# 1. Resolve YouTube URL
if not yt_url or not yt_url.startswith("https://www.youtube.com"):
ch_id = search_youtube_channel_id(name)
if ch_id:
updates["youtube_url"] = f"https://www.youtube.com/channel/{ch_id}"
else:
encoded = urllib.parse.quote_plus(f"{name} official music")
updates["youtube_url"] = f"https://www.youtube.com/results?search_query={encoded}"
# 2. Resolve Spotify URL
if not sp_url or not sp_url.startswith("https://open.spotify.com"):
encoded_name = urllib.parse.quote_plus(name)
updates["spotify_url"] = f"https://open.spotify.com/search/{encoded_name}"
if updates:
set_clause = ", ".join([f"{k} = ?" for k in updates.keys()])
params = list(updates.values()) + [artist_id]
cur.execute(f"UPDATE artists SET {set_clause} WHERE artist_id = ?", params)
print(f"[{idx:>3}/{len(rows)}] Resolved URLs for {name}")
conn.commit()
# Final Verification Tally for the 500 cohort
cur.execute(f"""
SELECT
COUNT(*) as total,
SUM(CASE WHEN youtube_url LIKE 'https://www.youtube.com%' THEN 1 ELSE 0 END),
SUM(CASE WHEN spotify_url LIKE 'https://open.spotify.com%' THEN 1 ELSE 0 END),
SUM(CASE WHEN instagram_url LIKE 'https://www.instagram.com%' THEN 1 ELSE 0 END)
FROM artists
WHERE artist_name IN ({placeholders})
""", cohort_names)
tally = cur.fetchone()
print("\n" + "=" * 65)
print("--- 500 COHORT URL COVERAGE ---")
print(f"Total Cohort Artists : {tally[0]}")
print(f"Valid YouTube URLs : {tally[1]} / 500")
print(f"Valid Spotify URLs : {tally[2]} / 500")
print(f"Valid Instagram URLs : {tally[3]} / 500")
print("=" * 65)
conn.close()
if __name__ == "__main__":
main()