import requests, io, os, json, base64, hashlib
H = "https://huggingface.co"
from PIL import Image
from huggingface_hub import HfApi

api = HfApi(token=os.environ["HF_TOKEN"], endpoint=H)
def norm(s): return "".join(ch for ch in str(s) if ch.isdigit())

# 1) current card image from live index for 7801100
idx = requests.get(H+"/datasets/bep40/grob-products-updated/resolve/main/catalogue_ai_index.json", params={"t":"px1"}, timeout=300).json()
card_uri = None
for p in idx["products"]:
    if isinstance(p, dict) and norm(p.get("sku",""))=="7801100":
        card_uri = p.get("image") or ""
        break
print("card 7801100 uri len:", len(card_uri))
if card_uri and card_uri.startswith("data:"):
    b = base64.b64decode(card_uri.split(",",1)[1])
    card_img = Image.open(io.BytesIO(b)).convert("RGB")
    print("card img size:", card_img.size)
    api.upload_file(path_or_fileobj=b, path_in_repo="debug_crops/live_card_7801100.jpg", repo_id="bep40/grob-products-updated", repo_type="dataset", commit_message="live card 7801100 export")
else:
    print("card img is URL not data:")

# 2) crop the 4 regions from page 81 at small size, compare pixels quickly
rx = requests.get(H+"/datasets/bep40/grob-products-updated/resolve/main/catpages/imudex-2026/page_0080.jpg", timeout=120)
img81 = Image.open(io.BytesIO(rx.content)).convert("RGB")
iw, ih = img81.size
sx, sy = iw/1133.86, ih/793.70
regions = {
    "A": (57,73,228,235), "B": (57,302,228,440), "C": (57,532,244,645), "D": (622,79,809,203)
}
def avg_hash(im, size=16):
    im = im.convert("L").resize((size,size), Image.LANCZOS)
    px = list(im.getdata()); avg = sum(px)/len(px)
    return "".join("1" if v>avg else "0" for v in px)
def ham(a,b): return sum(1 for x,y in zip(a,b) if x!=y)

card_ah = avg_hash(card_img) if card_uri else None
for name, box in regions.items():
    b2 = (int(box[0]*sx), int(box[1]*sy), int(box[2]*sx), int(box[3]*sy))
    cr = img81.crop(b2).copy()
    # save crop
    buf = io.BytesIO(); cr.save(buf, "JPEG", quality=90)
    api.upload_file(path_or_fileobj=buf.getvalue(), path_in_repo=f"debug_crops/px_{name}.jpg", repo_id="bep40/grob-products-updated", repo_type="dataset", commit_message="px region "+name)
    if card_ah:
        cr_ah = avg_hash(cr)
        print(f"{name}: hash-dist(box vs card) = {ham(card_ah, cr_ah)} / 256")
print("DONE")