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feat: finalize root api.py with X-Auth-Secret auth security and clean pure sales cohort
2026-11-04 16:49:39 +05:30

135 lines
4.5 KiB
Python

"""
scripts/export_missing_faces_list.py
Finds every artist without a confirmed real face photo.
Prints the numbered list in terminal and saves data/ordered_artists_to_fix.csv.
"""
import sqlite3
import csv
import re
import math
from pathlib import Path
from PIL import Image, ImageStat, ImageFilter
BASE_DIR = Path(__file__).resolve().parent.parent
DB_PATH = BASE_DIR / "data" / "hiffi_catalog.db"
AVATAR_DIR = BASE_DIR / "data" / "artist_avatars"
COHORT_CSV = BASE_DIR / "data" / "hiffi_multiplatform_500.csv"
FALLBACK_CSV = BASE_DIR / "cleaned_artists_inventory.csv"
OUTPUT_FILE = BASE_DIR / "data" / "ordered_artists_to_fix.csv"
def clean_file_slug(name: str) -> str:
cleaned = re.sub(r'[^a-zA-Z0-9_-]', '_', name.strip().lower())
return re.sub(r'_+', '_', cleaned).strip('_')
def load_cohort_names() -> list:
target_csv = COHORT_CSV if COHORT_CSV.exists() else FALLBACK_CSV
names = []
if target_csv.exists():
with open(target_csv, "r", encoding="utf-8-sig") as f:
reader = csv.DictReader(f)
for row in reader:
name = row.get("artist_name") or row.get("Artist") or row.get("name")
if name and name.strip():
names.append(name.strip())
return names
def calculate_entropy(img: Image.Image) -> float:
histogram = img.histogram()
total = sum(histogram)
if total == 0:
return 0.0
entropy = 0.0
for count in histogram:
if count > 0:
p = count / total
entropy -= p * math.log2(p)
return entropy
def is_real_human_face(image_path: Path):
if not image_path.exists() or image_path.stat().st_size < 3000:
return False, "Image file missing or empty"
try:
with Image.open(image_path) as img:
img_rgb = img.convert("RGB")
stat = ImageStat.Stat(img_rgb)
avg_stddev = sum(stat.stddev) / len(stat.stddev)
# Flat graphics or black background signatures
if avg_stddev < 18.0:
return False, "Signature or flat background graphic"
# Drawings and cartoon artwork
entropy = calculate_entropy(img_rgb)
if entropy < 5.8:
return False, "Cartoon, vector art, or drawing"
return True, "Valid Photo"
except Exception:
return False, "Cannot read file"
def main():
if not DB_PATH.exists():
print(f"[-] Database not found at {DB_PATH}")
return
conn = sqlite3.connect(DB_PATH)
conn.row_factory = sqlite3.Row
cursor = conn.cursor()
cohort_names = load_cohort_names()
if cohort_names:
placeholders = ",".join("?" for _ in cohort_names)
cursor.execute(f"SELECT artist_id, artist_name FROM artists WHERE artist_name IN ({placeholders}) ORDER BY artist_name COLLATE NOCASE ASC", cohort_names)
else:
cursor.execute("SELECT artist_id, artist_name FROM artists ORDER BY artist_name COLLATE NOCASE ASC LIMIT 500")
records = cursor.fetchall()
conn.close()
missing_faces = []
for r in records:
artist_id = str(r["artist_id"])
artist_name = r["artist_name"]
slug = clean_file_slug(artist_name)
local_file = None
for ext in [".jpg", ".png", ".webp", ".jpeg"]:
cand = AVATAR_DIR / f"{slug}_{artist_id}{ext}"
if cand.exists():
local_file = cand
break
is_face, reason = is_real_human_face(local_file) if local_file else (False, "Missing file")
if not is_face:
missing_faces.append({
"artist_id": artist_id,
"artist_name": artist_name,
"reason": reason
})
# Save to CSV
with open(OUTPUT_FILE, "w", newline="", encoding="utf-8") as f:
writer = csv.DictWriter(f, fieldnames=["order_number", "artist_id", "artist_name", "reason"])
writer.writeheader()
for idx, item in enumerate(missing_faces, 1):
writer.writerow({
"order_number": idx,
"artist_id": item["artist_id"],
"artist_name": item["artist_name"],
"reason": item["reason"]
})
print("\n" + "="*60)
print(f" ARTISTS NEEDING REAL FACES (TOTAL: {len(missing_faces)})")
print("="*60)
for idx, item in enumerate(missing_faces, 1):
print(f" #{idx:02d} | {item['artist_name']} (Reason: {item['reason']})")
print("="*60)
print(f"[+] Ordered list exported to: {OUTPUT_FILE}")
if __name__ == "__main__":
main()