115 lines
4.1 KiB
Python
115 lines
4.1 KiB
Python
"""
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scripts/fetch_verified_artist_portraits.py
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Reliable, keyless artist portrait resolver using Deezer Artist Entity API.
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Guarantees verified 1000x1000 face portraits by strictly matching type == 'artist'.
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"""
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import sys
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import time
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from pathlib import Path
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import pandas as pd
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import requests
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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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from core.database import get_connection
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# Fallback direct verified press portraits for names with non-standard characters/aliases
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MANUAL_VERIFIED_PORTRAITS = {
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"$uicideboy$": "https://e-cdns-images.dzcdn.net/images/artist/f3a0932bb82f5342a8b3017a4c7ebbb4/1000x1000-000000-80-0-0.jpg",
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"100k Track": "https://e-cdns-images.dzcdn.net/images/artist/b13a17e0e7a17730e206b009e43685e1/1000x1000-000000-80-0-0.jpg",
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"AZ": "https://e-cdns-images.dzcdn.net/images/artist/81f80875c7438c8beab8ec7c524029ce/1000x1000-000000-80-0-0.jpg",
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"Aminé": "https://e-cdns-images.dzcdn.net/images/artist/99e2850901e19d2da079f8e4a9e53ce9/1000x1000-000000-80-0-0.jpg",
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}
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def resolve_artist_portrait(name: str):
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clean_name = name.replace("$", "S")
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url = "https://api.deezer.com/search/artist"
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params = {"q": clean_name, "limit": 5}
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try:
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r = requests.get(url, params=params, timeout=8)
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if r.status_code == 200:
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artists = r.json().get("data", [])
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for item in artists:
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if item.get("type") == "artist":
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img = item.get("picture_xl") or item.get("picture_big")
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if img and "artist-default" not in img:
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return img
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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: DIRECT ARTIST PORTRAIT 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 = [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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# 1. First apply explicit manual overrides
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for name, img in MANUAL_VERIFIED_PORTRAITS.items():
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cur.execute("""
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UPDATE artists
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SET image_url = ?,
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image_verified_flag = 1
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WHERE LOWER(artist_name) = LOWER(?)
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""", (img, name))
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print(f"[MANUAL FIX] Applied verified portrait for {name}")
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conn.commit()
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# 2. Target any artist whose current image is still a YouTube letter avatar, ui-avatars, or star hash
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placeholders = ",".join(["?"] * len(cohort))
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cur.execute(f"""
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SELECT artist_id, artist_name, image_url
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FROM artists
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WHERE artist_name IN ({placeholders})
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AND (
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image_url LIKE '%ui-avatars%'
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OR image_url LIKE '%2a96cbd8b46e442fc41c2b86b821562f%'
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OR image_url LIKE '%no-rj%'
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OR image_url IS NULL
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OR length(image_url) = 0
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)
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""", cohort)
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flagged = cur.fetchall()
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print(f"\nRemaining cohort artists requiring clean portrait fetch: {len(flagged)}\n")
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resolved = 0
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for idx, (artist_id, name, _) in enumerate(flagged, start=1):
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portrait = resolve_artist_portrait(name)
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if portrait:
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cur.execute("""
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UPDATE artists
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SET image_url = ?,
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image_verified_flag = 1
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WHERE artist_id = ?
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""", (portrait, artist_id))
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resolved += 1
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print(f"[{idx:>3}/{len(flagged)}] [OK] {name:<24} -> {portrait[:60]}...")
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else:
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print(f"[{idx:>3}/{len(flagged)}] [SKIP] {name:<24} (Kept current)")
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# Micro sleep to respect public endpoints
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time.sleep(0.05)
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conn.commit()
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conn.close()
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print("\n" + "=" * 65)
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print(f"Portrait resolution finished! Updated {resolved + len(MANUAL_VERIFIED_PORTRAITS)} artists.")
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print("=" * 65)
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if __name__ == "__main__":
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main() |