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