Download tasks/brooklinen/environment/reference/clone/catalog.py from TIGER-Lab/WebsiteBench: direct link, hf CLI and curl.
- Browser
- Download file 8.59 kB
-
https://huggingface.co/datasets/TIGER-Lab/WebsiteBench/resolve/main/tasks/brooklinen/environment/reference/clone/catalog.py
- Command line
-
hf download hf://datasets/TIGER-Lab/WebsiteBench/tasks/brooklinen/environment/reference/clone/catalog.py
-
curl -L -o catalog.py https://huggingface.co/datasets/TIGER-Lab/WebsiteBench/resolve/main/tasks/brooklinen/environment/reference/clone/catalog.py
8.59 kB
| """Read-only catalogue view over the frozen, source-derived product data. | |
| Every image path resolves to a byte-exact local file under static/assets/img; | |
| the clone makes no runtime remote request. | |
| """ | |
| from __future__ import annotations | |
| import json | |
| import pathlib | |
| import re | |
| from functools import lru_cache | |
| BASE = pathlib.Path(__file__).resolve().parent | |
| DATA = BASE / "data" | |
| IMG_DIR = BASE / "static/assets/img" | |
| PAGE_DIR = BASE / "static/assets/page" | |
| CARD, HERO, GALLERY, SWATCH = "400x", "1000x", "600x", "150x" | |
| # Storefront-wide promotion observed on the source (15% off, sitewide banner code). | |
| SITEWIDE_DISCOUNT = 0.15 | |
| FREE_SHIPPING_THRESHOLD = 100.0 | |
| def local_name(src: str, size: str) -> str: | |
| base = src.partition("?")[0].rsplit("/", 1)[-1] | |
| stem, _, ext = base.rpartition(".") | |
| stem = re.sub(r"[^A-Za-z0-9_.-]", "-", stem)[:90] | |
| return f"{stem}__{size}.{ext}" | |
| def img_url(src: str | None, size: str) -> str | None: | |
| if not src: | |
| return None | |
| name = local_name(src, size) | |
| return f"/static/assets/img/{name}" if (IMG_DIR / name).exists() else None | |
| def page_url(src: str | None) -> str | None: | |
| if not src: | |
| return None | |
| name = re.sub(r"[^A-Za-z0-9_.-]", "-", src.partition("?")[0].rsplit("/", 1)[-1])[:110] | |
| return f"/static/assets/page/{name}" if (PAGE_DIR / name).exists() else None | |
| COLOR_FAMILIES = ["White", "Cream", "Beige", "Grey", "Blue", "Brown", "Green", | |
| "Multi", "Orange", "Pink", "Red", "Yellow"] | |
| SIZE_ORDER = ["Twin", "Twin XL", "Full", "Queen", "King", "Cali King", "Standard", "Euro"] | |
| FABRICS = ["Brushed Flannel", "Classic Percale", "Heathered Cashmere", "Luxe Sateen", | |
| "Plush", "Ribbed Cotton TENCEL\u2122", "Super-Plush", "Waffle", | |
| "Washed Classic Percale", "Washed European Linen"] | |
| PATTERNS = {"Stripes": ("stripe", "striped"), "Florals": ("floral", "bloom", "dandelion", "botanical"), | |
| "Abstract": ("abstract", "patchwork", "tandem", "weave", "checker", "plaid", "gingham")} | |
| BUNDLE_TYPES = {"Bedding Move-In Bundles": ("move-in",), "Comforter & Duvet Bundles": ("comforter",), | |
| "Core Sheet Sets": ("core sheet",), "Duvet & Quilt Sets": ("duvet set", "quilt set"), | |
| "Hardcore Sheet Bundles": ("hardcore",), "No Flat Sheet Set Bundles": ("no flat",), | |
| "Starter Bundles": ("starter",)} | |
| COMFORTER_TYPES = {"Down": ("down",), "Lightweight": ("lightweight",), "All-Season": ("all-season", "all season")} | |
| BEDDING_LAYERS = {"Essentials": ("essential",), "Base Layer": ("sheet", "pillowcase"), | |
| "Top Layer": ("duvet", "comforter", "quilt", "blanket")} | |
| def _hex_family(hex_value: str | None, name: str) -> str | None: | |
| """Classify a swatch into the source's twelve colour families.""" | |
| lowered = name.lower() | |
| if any(w in lowered for w in ("stripe", "patchwork", "multi", "plaid", "gingham", "floral", "check")): | |
| return "Multi" | |
| if not hex_value or not hex_value.startswith("#") or len(hex_value) != 7: | |
| for family in COLOR_FAMILIES: | |
| if family.lower() in lowered: | |
| return family | |
| return None | |
| r, g, b = (int(hex_value[i:i + 2], 16) for i in (1, 3, 5)) | |
| mx, mn = max(r, g, b), min(r, g, b) | |
| chroma, light = mx - mn, mx / 255 | |
| if chroma < 26: | |
| if light > 0.93: | |
| return "White" | |
| if light > 0.82: | |
| return "Cream" | |
| return "Grey" | |
| import colorsys | |
| hue = colorsys.rgb_to_hsv(r / 255, g / 255, b / 255)[0] * 360 | |
| if hue < 16 or hue >= 340: | |
| return "Red" if light > 0.45 and chroma > 70 else "Brown" | |
| if hue < 42: | |
| return "Brown" if light < 0.62 else ("Beige" if chroma < 70 else "Orange") | |
| if hue < 68: | |
| return "Yellow" | |
| if hue < 165: | |
| return "Green" | |
| if hue < 260: | |
| return "Blue" | |
| if hue < 290: | |
| return "Blue" | |
| return "Pink" | |
| def _facets_for(product: dict, swatches: dict) -> dict[str, list[str]]: | |
| title = product["title"].lower() | |
| tags = {t.lower() for t in product["tags"]} | |
| colors, sizes, patterns = [], [], [] | |
| for v in product["variants"]: | |
| name = v.get("option1") or "" | |
| meta = swatches.get(name, {}) | |
| family = _hex_family(meta.get("hex"), name) | |
| if family and family not in colors: | |
| colors.append(family) | |
| size = v.get("option2") | |
| if size and size not in sizes: | |
| sizes.append(size) | |
| lowered = name.lower() | |
| for label, needles in PATTERNS.items(): | |
| if any(n in lowered for n in needles) and label not in patterns: | |
| patterns.append(label) | |
| if not patterns: | |
| patterns = ["Solid"] | |
| fabric = [f for f in FABRICS if f.lower() in title or f.lower() in tags] | |
| featured = [] | |
| if "bundle" in title or "bundle savings" in tags: | |
| featured.append("Bundle Savings") | |
| if any("cooling" in t for t in tags) or "percale" in title: | |
| featured.append("Cooling") | |
| if any("hsa" in t for t in tags): | |
| featured.append("HSA/FSA Eligible") | |
| bundle = [k for k, needles in BUNDLE_TYPES.items() if any(n in title for n in needles)] | |
| comforter = [k for k, needles in COMFORTER_TYPES.items() | |
| if any(n in title for n in needles)] if "comforter" in title else [] | |
| layers = [k for k, needles in BEDDING_LAYERS.items() if any(n in title for n in needles)] | |
| return {"product_type": [product["product_type"]] if product["product_type"] else [], | |
| "color": colors, "size": [s for s in SIZE_ORDER if s in sizes] or sizes, | |
| "fabric": fabric, "featured": featured, "pattern": patterns, | |
| "bundle_type": bundle, "comforter_type": comforter, "bedding_layers": layers} | |
| FACET_GROUPS = [("product_type", "Product Type"), ("color", "Color"), ("size", "Size"), | |
| ("fabric", "Fabric"), ("featured", "Featured"), ("bedding_layers", "Bedding Layers"), | |
| ("bundle_type", "Bundle Type"), ("pattern", "Pattern"), | |
| ("comforter_type", "Comforter Type")] | |
| FACET_ORDER = {"color": COLOR_FAMILIES, "size": SIZE_ORDER, "fabric": FABRICS} | |
| def _stable_reviews(handle: str) -> int: | |
| """Deterministic per-product review count; no source review data is copied.""" | |
| return 40 + (sum(handle.encode()) * 37) % 4000 | |
| def swatch_table() -> dict: | |
| """Site-wide colour table (hex, pattern image, copy) as published by the source.""" | |
| path = DATA / "swatches.json" | |
| return json.loads(path.read_text(encoding="utf-8")) if path.exists() else {} | |
| def catalog() -> dict: | |
| raw = json.loads((DATA / "catalog.json").read_text(encoding="utf-8")) | |
| p0 = set(json.loads((DATA / "p0-products.json").read_text(encoding="utf-8"))) | |
| for handle, p in raw["products"].items(): | |
| p["detail_closed"] = handle in p0 | |
| p["card_image"] = img_url(p["images"][0] if p["images"] else None, CARD) | |
| p["review_count"] = _stable_reviews(handle) | |
| p["sale_price"] = round(p["price_min"] * (1 - SITEWIDE_DISCOUNT), 2) | |
| p["on_sale"] = True | |
| p["discount_pct"] = int(SITEWIDE_DISCOUNT * 100) | |
| p["badge"] = _badge(p) | |
| seen, swatches = set(), [] | |
| for v in p["variants"]: | |
| key = v.get("option1") | |
| if key in seen: | |
| continue | |
| seen.add(key) | |
| meta = swatch_table().get(key or "", {}) | |
| swatches.append({"title": key, "hex": meta.get("hex"), | |
| "description": meta.get("description"), | |
| "image": img_url(v.get("image"), SWATCH)}) | |
| p["swatches"] = swatches | |
| p["facets"] = _facets_for(p, swatch_table()) | |
| raw["by_handle"] = raw["products"] | |
| return raw | |
| def _badge(p: dict) -> str | None: | |
| tags = {t.lower() for t in p["tags"]} | |
| if "super-plush towels" in tags or "super-plush 2.0" in tags: | |
| return "FLUFFIEST" | |
| if any("cooling" in t for t in tags): | |
| return "COOLING" | |
| if "newarrivals" in tags: | |
| return "NEW" | |
| if "best sellers" in tags: | |
| return "BEST SELLER" | |
| return None | |
| def products_for(handles) -> list[dict]: | |
| by = catalog()["products"] | |
| return [by[h] for h in handles if h in by] | |
| def collection(handle: str) -> dict | None: | |
| for c in catalog()["collections"]: | |
| if c["handle"] == handle: | |
| return c | |
| return None | |
| def variant_index() -> dict[int, tuple[str, dict]]: | |
| idx = {} | |
| for handle, p in catalog()["products"].items(): | |
| for v in p["variants"]: | |
| idx[v["id"]] = (handle, v) | |
| return idx | |