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"""Faceted grid engine: refinements, counts, sorting and pagination.
Mirrors the source's own grid contract observed on /c/womens/ and /search/:
multi-select refinements with live hit counts, five sorting options, and a
`pagesize`-driven "Show More" that grows the rendered window.
"""
from __future__ import annotations
from dataclasses import dataclass
from typing import Iterable, Sequence
from catalog import PRICE_BUCKETS, REFINEMENTS, Product
PAGE_SIZE = 47
PAGE_STEP = 48
# Source-observed `quickFilters` on /c/womens/: only these render as pills in
# the control row; the rest stay behind the "All Filters" panel.
QUICK_FILTERS = (
"c_productType", "c_bigTall", "c_size", "c_technologyBenefit", "c_activity",
)
@dataclass(slots=True)
class RefinementValue:
label: str
hit_count: int
selected: bool
@dataclass(slots=True)
class Refinement:
attribute_id: str
label: str
values: list[RefinementValue]
@property
def selected_count(self) -> int:
return sum(1 for value in self.values if value.selected)
@dataclass(slots=True)
class GridResult:
products: list[Product]
total: int
shown: int
refinements: list[Refinement]
sort_id: str
page_size: int
@property
def quick(self) -> list["Refinement"]:
order = {attribute: index for index, attribute in enumerate(QUICK_FILTERS)}
chosen = [r for r in self.refinements if r.attribute_id in order]
chosen.sort(key=lambda r: order[r.attribute_id])
return chosen
@property
def rest(self) -> list["Refinement"]:
return [r for r in self.refinements if r.attribute_id not in QUICK_FILTERS]
@property
def has_more(self) -> bool:
return self.shown < self.total
@property
def next_page_size(self) -> int:
return self.page_size + PAGE_STEP
@property
def remaining(self) -> int:
return max(self.total - self.shown, 0)
def parse_refine(values: Sequence[str]) -> dict[str, set[str]]:
"""Parse the source's `refine=<attribute>=<value>` repeated parameter."""
selected: dict[str, set[str]] = {}
for raw in values:
if "=" not in raw:
continue
attribute, _, value = raw.partition("=")
selected.setdefault(attribute.strip(), set()).add(value.strip())
return selected
def _matches(product: Product, attribute: str, wanted: set[str]) -> bool:
source_field = _FIELD_FOR.get(attribute)
if source_field is None:
return True
return bool(wanted & set(product.facet_values(source_field)))
_FIELD_FOR = {attribute: field for attribute, _label, field in REFINEMENTS}
_LABEL_FOR = {attribute: label for attribute, label, _field in REFINEMENTS}
def _sort(products: list[Product], sort_id: str) -> list[Product]:
def price(product: Product) -> float:
value = product.sale_price if product.sale_price is not None else product.min_price
return value if value is not None else 0.0
if sort_id == "price-low-to-high":
return sorted(products, key=price)
if sort_id == "price-high-to-low":
return sorted(products, key=price, reverse=True)
if sort_id == "newest":
return sorted(products, key=lambda p: (p.grid_badge != "New", p.name))
if sort_id == "top-rated":
# The source ranks by review score, which this clone did not capture.
# Fall back to the stable featured order rather than inventing ratings.
return list(products)
return list(products)
def build(
products: Iterable[Product],
selected: dict[str, set[str]],
sort_id: str = "featured-new",
page_size: int = PAGE_SIZE,
) -> GridResult:
pool = list(products)
def passes(product: Product, skip: str | None = None) -> bool:
for attribute, wanted in selected.items():
if attribute == skip or not wanted:
continue
if not _matches(product, attribute, wanted):
return False
return True
matched = [product for product in pool if passes(product)]
refinements: list[Refinement] = []
for attribute, label, source_field in REFINEMENTS:
# Counts for a facet are computed with that facet's own selection
# removed, which is what multi-select refinement panels show.
others = [product for product in pool if passes(product, skip=attribute)]
counts: dict[str, int] = {}
for product in others:
for value in product.facet_values(source_field):
counts[value] = counts.get(value, 0) + 1
if not counts:
continue
chosen = selected.get(attribute, set())
if attribute == "price":
ordered = [label for label, _low, _high in PRICE_BUCKETS if label in counts]
else:
ordered = sorted(counts, key=lambda value: (-counts[value], value))
refinements.append(
Refinement(
attribute_id=attribute,
label=label,
values=[
RefinementValue(label=value, hit_count=counts[value], selected=value in chosen)
for value in ordered
],
)
)
ordered_products = _sort(matched, sort_id)
window = ordered_products[:page_size]
return GridResult(
products=window,
total=len(ordered_products),
shown=len(window),
refinements=refinements,
sort_id=sort_id,
page_size=page_size,
)