"""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 @lru_cache(maxsize=1) 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 {} @lru_cache(maxsize=1) 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