"""Local route families derived from the Playwright evidence. ``data/families.json`` is written by ``tools/build_local_data.py`` from the captured page instances. This module turns it into the view models the family templates render, and it owns two rules that keep the clone honest: * every list this module hands a template is either a real local route or an explicit boundary row — never a ``#`` link and never a remote origin; * every source-side figure (question counts, chapter counts, contest dates) is labelled as a *source* figure, because the local seeded body below it is a deterministic sample of this clone's own 1,000-problem catalogue. Company↔problem and tag↔problem mappings were not capturable: LeetCode renders company tags behind Premium, and the tag list pages render their rows from an authenticated API. Each collection page therefore seeds a deterministic local sample from this clone's catalogue and says so on the page. """ from __future__ import annotations import json from pathlib import Path from typing import Any, Iterable from . import content DATA_DIR = Path(__file__).resolve().parent / "data" FAMILIES: dict[str, Any] = json.loads( (DATA_DIR / "families.json").read_text(encoding="utf-8") ) COMPANY_ROWS: tuple[dict[str, Any], ...] = tuple(FAMILIES["company"]["rows"]) COMPANY_BY_SLUG: dict[str, dict[str, Any]] = {row["slug"]: row for row in COMPANY_ROWS} COMPANY_POPULATION: int = int(FAMILIES["company"]["population"]) COMPANY_SAMPLE: int = int(FAMILIES["company"]["sample"]) TAG_ROWS: tuple[dict[str, Any], ...] = tuple(FAMILIES["tag"]["rows"]) TAG_BY_SLUG: dict[str, dict[str, Any]] = {row["slug"]: row for row in TAG_ROWS} EXPLORE_SECTIONS: tuple[dict[str, Any], ...] = tuple(FAMILIES["explore"]["sections"]) EXPLORE_SECTION_BY_PATH: dict[str, dict[str, Any]] = { row["path"]: row for row in EXPLORE_SECTIONS } EXPLORE_CARDS: tuple[dict[str, Any], ...] = tuple(FAMILIES["explore"]["cards"]) EXPLORE_CARD_BY_PATH: dict[str, dict[str, Any]] = { row["path"]: row for row in EXPLORE_CARDS } STUDYPLANS: tuple[dict[str, Any], ...] = tuple(FAMILIES["studyplan"]["plans"]) STUDYPLAN_BY_SLUG: dict[str, dict[str, Any]] = {row["slug"]: row for row in STUDYPLANS} STUDYPLAN_DETAIL: dict[str, dict[str, Any]] = { row["slug"]: row for row in FAMILIES["studyplan"]["details"] } CONTEST: dict[str, Any] = FAMILIES["contest"] CONTEST_BY_SLUG: dict[str, dict[str, Any]] = { row["slug"]: row for row in (*CONTEST["upcoming"], *CONTEST["past"]) } DISCUSS: dict[str, Any] = FAMILIES["discuss"] DISCUSS_BY_ID: dict[str, dict[str, Any]] = {row["id"]: row for row in DISCUSS["posts"]} PROFILES: tuple[dict[str, Any], ...] = tuple(FAMILIES["profile"]) PROFILE_BY_HANDLE: dict[str, dict[str, Any]] = { row["handle"]: row for row in PROFILES } PREMIUM: dict[str, Any] = FAMILIES["premium"] STORE: dict[str, Any] = FAMILIES["store"] INTERVIEW: dict[str, Any] = FAMILIES["interview"] ASSESSMENT: dict[str, Any] = FAMILIES["assessment"] BUSINESS: dict[str, Any] = FAMILIES["business"] SUPPORT: dict[str, Any] = FAMILIES["support"] LEGAL: dict[str, Any] = FAMILIES["legal"] STATIC_PAGES: dict[str, dict[str, Any]] = { row["path"]: row for row in FAMILIES["static_pages"] } PROBLEMSET_CATEGORIES: tuple[dict[str, Any], ...] = tuple( FAMILIES["problemset_categories"] ) #: Shown wherever a page seeds local rows in place of a source collection the #: anonymous capture could not enumerate. SEEDED_NOTE = ( "The membership list below is a deterministic local sample of this clone's " "own 1,000-problem catalogue. The source renders this collection from an " "authenticated or Premium-gated API, so no membership was captured and none " "is invented here." ) PREMIUM_BOUNDARY = ( "This clone implements no payment. LeetCode Premium is presented from the " "captured marketing copy only; every subscribe control answers locally and " "no card, price or account is ever charged." ) # --------------------------------------------------------------------------- # deterministic local sampling # --------------------------------------------------------------------------- def _rotate(seed: str) -> int: """A stable non-cryptographic offset derived from a slug. ``hash()`` is salted per process, so a hand-rolled sum keeps the seeded sample identical across restarts, which the site tests depend on. """ total = 0 for position, character in enumerate(seed): total = (total * 131 + ord(character) + position) % 1_000_003 return total def sample_questions(seed: str, size: int) -> list[content.Question]: """A stable, evenly spread slice of the catalogue for one collection.""" catalogue = content.LISTING_ORDER if not catalogue or size <= 0: return [] size = min(size, len(catalogue)) offset = _rotate(seed) % len(catalogue) stride = max(1, len(catalogue) // size) picked: list[content.Question] = [] seen: set[str] = set() index = offset while len(picked) < size: item = catalogue[index % len(catalogue)] if item.slug not in seen: seen.add(item.slug) picked.append(item) index += stride if len(seen) >= len(catalogue): break picked.sort(key=lambda item: item.number) return picked def question_rows(items: Iterable[content.Question]) -> list[dict[str, Any]]: return [ { "slug": item.slug, "number": item.number, "title": item.title, "difficulty": item.difficulty, "difficulty_label": content.difficulty_label(item.difficulty), "acceptance": item.acceptance, "href": f"/problems/{item.slug}/description/", "premium_locked": item.premium_locked, } for item in items ] # --------------------------------------------------------------------------- # collections (company + tag/problem-list) # --------------------------------------------------------------------------- def company(slug: str) -> dict[str, Any] | None: row = COMPANY_BY_SLUG.get(slug) if row is None: return None size = min(25, max(5, int(row.get("source_question_count") or 0) or 5)) return { "kind": "company", "slug": slug, "name": row.get("name") or slug, "source_question_count": row.get("source_question_count"), "source_saved_count": row.get("source_saved_count"), "source_updated_label": row.get("source_updated_label"), "rows": question_rows(sample_questions(f"company:{slug}", size)), "seeded_note": SEEDED_NOTE, "discuss_href": "/discuss/", "premium_href": "/subscribe/", } def tag(slug: str) -> dict[str, Any] | None: row = TAG_BY_SLUG.get(slug) if row is None: return None label = row.get("label") or slug local = [item for item in content.LISTING_ORDER if label in item.topics] return { "kind": "tag", "slug": slug, "name": label, "source_question_count": row.get("source_question_count"), "source_saved_count": row.get("source_saved_count"), "source_updated_label": row.get("source_updated_label"), "list_available": bool(row.get("list_available", True)), "label_source": row.get("label_source", "tag-page"), "rows": question_rows(local), "filter_href": f"/problemset/?topic={label.replace(' ', '+')}", "seeded_note": ( "The rows below are this clone's own 1,000-problem catalogue " "filtered by the captured per-problem topic chips. The source " "figure beside the heading counts the full 4,029-problem bank." ), "discuss_href": "/discuss/", "premium_href": "/subscribe/", } # --------------------------------------------------------------------------- # study plans # --------------------------------------------------------------------------- def studyplan(slug: str) -> dict[str, Any] | None: row = STUDYPLAN_BY_SLUG.get(slug) if row is None: return None detail = STUDYPLAN_DETAIL.get(slug) groups: list[dict[str, Any]] = [] if detail is not None: for group in detail["groups"]: problems = [] for entry in group["problems"]: local = content.question(entry["slug"]) problems.append( { "slug": entry["slug"], "title": entry.get("title") or entry["slug"], "difficulty": entry.get("difficulty") or "", "href": ( f"/problems/{entry['slug']}/description/" if local is not None else None ), } ) groups.append({"name": group["name"], "problems": problems}) return { "slug": slug, "label": row.get("label") or slug, "premium": bool(row.get("premium")), "detail": detail is not None, "title": (detail or {}).get("title") or row.get("label") or slug, "groups": groups, "problem_total": sum(len(group["problems"]) for group in groups), "local_total": sum( 1 for group in groups for problem in group["problems"] if problem["href"] is not None ), } # --------------------------------------------------------------------------- # explore # --------------------------------------------------------------------------- def explore_section(path: str) -> dict[str, Any] | None: row = EXPLORE_SECTION_BY_PATH.get(path) if row is None: return None cards = [] for card in row["cards"]: target = card.get("path") cards.append( { **card, "href": target if target in EXPLORE_CARD_BY_PATH else None, "locked": card.get("state") == "Locked" or card.get("premium"), } ) return {"path": path, "title": row["title"], "cards": cards} def explore_card(path: str) -> dict[str, Any] | None: row = EXPLORE_CARD_BY_PATH.get(path) if row is None: return None card = row.get("card") or {} seed = path.strip("/").rsplit("/", 1)[-1] return { "path": path, "caption": card.get("caption") or "Explore card", "chapters": card.get("chapters"), "items": card.get("items"), "locked": card.get("state") == "Locked" or card.get("premium"), "rows": question_rows(sample_questions(f"explore:{seed}", 8)), "captured_text": row.get("captured_text", ""), } # --------------------------------------------------------------------------- # contest # --------------------------------------------------------------------------- def contest(slug: str) -> dict[str, Any] | None: row = CONTEST_BY_SLUG.get(slug) if row is None: return None upcoming = any(entry["slug"] == slug for entry in CONTEST["upcoming"]) return { "slug": slug, "name": row.get("name") or slug, "starts": row.get("starts") or "", "upcoming": upcoming, "rows": question_rows(sample_questions(f"contest:{slug}", 4)), } # --------------------------------------------------------------------------- # discuss # --------------------------------------------------------------------------- def discuss_post(identifier: str) -> dict[str, Any] | None: row = DISCUSS_BY_ID.get(identifier) if row is None: return None featured = DISCUSS.get("featured_post") or {} body = featured.get("captured_text", "") if featured.get("path") == row["path"] else "" return { "id": identifier, "path": row["path"], "title": row.get("label") or featured.get("title") or "Discuss post", "captured_body": body, "has_body": bool(body), } # --------------------------------------------------------------------------- # public profiles # --------------------------------------------------------------------------- def profile(handle: str) -> dict[str, Any]: row = PROFILE_BY_HANDLE.get(handle) return { "handle": handle, "captured": row is not None, "title": (row or {}).get("title") or handle, "captured_text": (row or {}).get("captured_text", ""), } __all__ = [ "ASSESSMENT", "BUSINESS", "COMPANY_BY_SLUG", "COMPANY_POPULATION", "COMPANY_ROWS", "COMPANY_SAMPLE", "CONTEST", "CONTEST_BY_SLUG", "DISCUSS", "DISCUSS_BY_ID", "EXPLORE_CARDS", "EXPLORE_CARD_BY_PATH", "EXPLORE_SECTIONS", "EXPLORE_SECTION_BY_PATH", "INTERVIEW", "LEGAL", "PREMIUM", "PREMIUM_BOUNDARY", "PROBLEMSET_CATEGORIES", "PROFILES", "SEEDED_NOTE", "STATIC_PAGES", "STORE", "STUDYPLANS", "STUDYPLAN_BY_SLUG", "STUDYPLAN_DETAIL", "SUPPORT", "TAG_BY_SLUG", "TAG_ROWS", "company", "contest", "discuss_post", "explore_card", "explore_section", "profile", "question_rows", "sample_questions", "studyplan", "tag", ]