From 54a2c4d77b8e9aaf390818d142c6ddc1639063fe Mon Sep 17 00:00:00 2001 From: Builder Date: Tue, 26 May 2026 14:48:20 +0000 Subject: [PATCH 01/17] Add IMDb mirror (port 40015) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Adds sites/imdb/ — a Flask mirror of imdb.com built per the .claude/skills/ six-phase contributor pipeline (clone-website, design-tasks, evolve-env, harden-env, seed-database). Catalog (scraped from imdb.com via Playwright, gitignored in sites/imdb/scraped_data/; shipped as instance_seed/imdb.db + static/images/ via HF dataset): - 392 titles (Top 250 + Top TV 250 + Most Popular + Box Office) - 3796 persons (cast / crew with real bios + headshots) - 4280 real posters + headshots - 19 canonical IMDb genres Coverage: - 22 routes: homepage / title detail / fullcredits / reviews / rate / watchlist toggle / person detail / scored search / advanced search (genre / year / rating / sort) / 4 charts (Top 250 / Top TV / Most Popular / Box Office) / genre browse / news / auth (login / register / account) - scored token-overlap search (not strict-AND), 18 stop words - 4 benchmark users alice.j / bob.c / carol.d / david.k @ test.com (password TestPass123!) — pre-seeded with 4-item watchlists, 3-5 ratings, one written review each - 12 seeded news items + 12 featured reviews (high helpful-count) across major titles - 18 benchmark tasks in tasks.jsonl across 6 functional areas: chart browse, title detail, person filmography, advanced search, genre browse, user state — including 4 hard tasks (>= 5 steps) and 2 disambiguation tasks (bob's SF/fantasy watchlist subset; carol's crime film subset) Data integrity: - canonical-URL guard skips 65 IMDb-redirected tt_ids (some unknown tt_ids returned the wrong page) - garbage filter skips 1854 names that hit IMDb's 403/ error fallback during concurrent scraping - html.unescape on all string fields; hero h1 preferred over ld.name (which is sometimes original-language) - lowercase substring match for box-office data-testid keys HF asset PR: https://huggingface.co/datasets/ChilleD/WebHarbor/discussions/23 --- Dockerfile | 4 +- README.md | 6 +- control_server.py | 2 +- sites/imdb/_health.py | 3 + sites/imdb/app.py | 722 +++++++++++++++++++ sites/imdb/requirements.txt | 1 + sites/imdb/seed_data.py | 688 ++++++++++++++++++ sites/imdb/static/css/.gitkeep | 0 sites/imdb/static/css/style.css | 236 ++++++ sites/imdb/static/icons/.gitkeep | 0 sites/imdb/static/js/.gitkeep | 0 sites/imdb/tasks.jsonl | 18 + sites/imdb/templates/.gitkeep | 0 sites/imdb/templates/404.html | 7 + sites/imdb/templates/account.html | 12 + sites/imdb/templates/advanced_search.html | 62 ++ sites/imdb/templates/base.html | 68 ++ sites/imdb/templates/chart.html | 35 + sites/imdb/templates/genre_browse.html | 16 + sites/imdb/templates/index.html | 92 +++ sites/imdb/templates/login.html | 12 + sites/imdb/templates/my_ratings.html | 20 + sites/imdb/templates/name_detail.html | 63 ++ sites/imdb/templates/news.html | 19 + sites/imdb/templates/register.html | 12 + sites/imdb/templates/search.html | 46 ++ sites/imdb/templates/title_detail.html | 156 ++++ sites/imdb/templates/title_fullcredits.html | 28 + sites/imdb/templates/title_reviews.html | 37 + sites/imdb/templates/title_write_review.html | 20 + sites/imdb/templates/watchlist.html | 22 + websyn_start.sh | 2 +- 32 files changed, 2402 insertions(+), 7 deletions(-) create mode 100644 sites/imdb/_health.py create mode 100644 sites/imdb/app.py create mode 100644 sites/imdb/requirements.txt create mode 100644 sites/imdb/seed_data.py create mode 100644 sites/imdb/static/css/.gitkeep create mode 100644 sites/imdb/static/css/style.css create mode 100644 sites/imdb/static/icons/.gitkeep create mode 100644 sites/imdb/static/js/.gitkeep create mode 100644 sites/imdb/tasks.jsonl create mode 100644 sites/imdb/templates/.gitkeep create mode 100644 sites/imdb/templates/404.html create mode 100644 sites/imdb/templates/account.html create mode 100644 sites/imdb/templates/advanced_search.html create mode 100644 sites/imdb/templates/base.html create mode 100644 sites/imdb/templates/chart.html create mode 100644 sites/imdb/templates/genre_browse.html create mode 100644 sites/imdb/templates/index.html create mode 100644 sites/imdb/templates/login.html create mode 100644 sites/imdb/templates/my_ratings.html create mode 100644 sites/imdb/templates/name_detail.html create mode 100644 sites/imdb/templates/news.html create mode 100644 sites/imdb/templates/register.html create mode 100644 sites/imdb/templates/search.html create mode 100644 sites/imdb/templates/title_detail.html create mode 100644 sites/imdb/templates/title_fullcredits.html create mode 100644 sites/imdb/templates/title_reviews.html create mode 100644 sites/imdb/templates/title_write_review.html create mode 100644 sites/imdb/templates/watchlist.html diff --git a/Dockerfile b/Dockerfile index 991e5ab6..1e86b1d0 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,5 +1,5 @@ # WebHarbor — slim, self-contained image. -# 15 Flask mirror sites + control plane on :8101. +# 16 Flask mirror sites + control plane on :8101. FROM python:3.12-slim-bookworm @@ -33,6 +33,6 @@ COPY control_server.py /opt/control_server.py COPY site_runner.py /opt/site_runner.py RUN chmod +x /opt/websyn_start.sh -EXPOSE 8101 40000-40014 +EXPOSE 8101 40000-40015 CMD ["/opt/websyn_start.sh"] diff --git a/README.md b/README.md index dce3f934..50943a84 100644 --- a/README.md +++ b/README.md @@ -36,17 +36,17 @@ WebHarbor takes a different approach. We leverage coding agent (e.g., Claude Cod - **Deep features unlocked** — carts, checkouts, accounts, all fully testable - **Evolving** — harder tasks drive richer mirrors; the environment grows with agents - **RL-ready** — sub-second database resets between rollouts -- **Community-driven** — 15 sites today, scaling to 100+ together +- **Community-driven** — 16 sites today, scaling to 100+ together ## 🚀 Quickstart One command to run all web environments: ```bash -docker run -p 8101:8101 -p 40000-40014:40000-40014 battalion7244/webharbor:latest +docker run -p 8101:8101 -p 40000-40015:40000-40015 battalion7244/webharbor:latest ``` -Then point your agent at `http://localhost:40000` through `http://localhost:40014` to explore 15 local mirrors of webvoyager sites: `Allrecipes, Amazon, Apple, ArXiv, BBC News, Booking, GitHub, Google Flights, Google Maps, Google Search, Hugging Face, Wolfram Alpha, Cambridge Dictionary, Coursera, and ESPN`. +Then point your agent at `http://localhost:40000` through `http://localhost:40015` to explore 16 local mirrors of webvoyager sites: `Allrecipes, Amazon, Apple, ArXiv, BBC News, Booking, GitHub, Google Flights, Google Maps, Google Search, Hugging Face, Wolfram Alpha, Cambridge Dictionary, Coursera, ESPN, and IMDb`. For sub-second reset between rollouts, expose the control plane and call `/reset/`: diff --git a/control_server.py b/control_server.py index c255253c..0ae4de44 100644 --- a/control_server.py +++ b/control_server.py @@ -26,7 +26,7 @@ 'allrecipes', 'amazon', 'apple', 'arxiv', 'bbc_news', 'booking', 'github', 'google_flights', 'google_map', 'google_search', 'huggingface', 'wolfram_alpha', 'cambridge_dictionary', - 'coursera', 'espn', + 'coursera', 'espn', 'imdb', ] BASE_PORT = 40000 WEBSYN_DIR = '/opt/WebSyn' diff --git a/sites/imdb/_health.py b/sites/imdb/_health.py new file mode 100644 index 00000000..b21acf55 --- /dev/null +++ b/sites/imdb/_health.py @@ -0,0 +1,3 @@ +"""Per-site health probe (optional, called by control_server).""" +def health(): + return {"ok": True, "site": "imdb"} diff --git a/sites/imdb/app.py b/sites/imdb/app.py new file mode 100644 index 00000000..47424414 --- /dev/null +++ b/sites/imdb/app.py @@ -0,0 +1,722 @@ +"""IMDb mirror — Flask app. + +Phase 1 (clone-website) rewrite: real catalog data from Playwright scraping, +scored token-overlap search, four benchmark users with the canonical +WebHarbor email scheme (alice.j / bob.c / carol.d / david.k). + +Mirrors the public, logged-out + logged-in browsing surface of imdb.com that +matters for web-agent benchmarks: title detail, name detail, search, charts +(Top 250 / Most Popular / Box Office), reviews, ratings, watchlist, news. +""" +import os +import json +import re +from datetime import datetime + +from flask import (Flask, render_template, request, redirect, url_for, + flash, abort, jsonify) +from flask_sqlalchemy import SQLAlchemy +from flask_login import (LoginManager, UserMixin, login_user, logout_user, + login_required, current_user) +from werkzeug.security import generate_password_hash, check_password_hash +from sqlalchemy import func, desc + +BASE_DIR = os.path.dirname(os.path.abspath(__file__)) + +app = Flask(__name__) +app.config['SECRET_KEY'] = 'imdb-mirror-dev-secret' +app.config['SQLALCHEMY_DATABASE_URI'] = ( + f"sqlite:///{os.path.join(BASE_DIR, 'instance', 'imdb.db')}" +) +app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False + +os.makedirs(os.path.join(BASE_DIR, 'instance'), exist_ok=True) + +db = SQLAlchemy(app) +login_manager = LoginManager(app) +login_manager.login_view = 'login' +login_manager.login_message = 'Please sign in to use this feature.' + + +# --------------------------------------------------------------------------- +# Models +# --------------------------------------------------------------------------- + +title_genre = db.Table( + 'title_genre', + db.Column('title_id', db.Integer, db.ForeignKey('titles.id'), primary_key=True), + db.Column('genre_id', db.Integer, db.ForeignKey('genres.id'), primary_key=True), +) + + +class User(db.Model, UserMixin): + __tablename__ = 'users' + id = db.Column(db.Integer, primary_key=True) + email = db.Column(db.String(160), unique=True, nullable=False, index=True) + name = db.Column(db.String(120), nullable=False) + password_hash = db.Column(db.String(255), nullable=False) + created_at = db.Column(db.DateTime, default=datetime.utcnow) + + reviews = db.relationship('Review', backref='user', lazy=True, + cascade='all, delete-orphan') + ratings = db.relationship('UserRating', backref='user', lazy=True, + cascade='all, delete-orphan') + watchlist = db.relationship('WatchlistItem', backref='user', lazy=True, + cascade='all, delete-orphan') + + def set_password(self, pw): + self.password_hash = generate_password_hash(pw) + + def check_password(self, pw): + return check_password_hash(self.password_hash, pw) + + +class Title(db.Model): + __tablename__ = 'titles' + id = db.Column(db.Integer, primary_key=True) + tt_id = db.Column(db.String(20), unique=True, nullable=False, index=True) + title_type = db.Column(db.String(20), nullable=False, default='movie') + primary_title = db.Column(db.String(255), nullable=False, index=True) + original_title = db.Column(db.String(255), default='') + year = db.Column(db.Integer, index=True) + end_year = db.Column(db.Integer) + runtime_min = db.Column(db.Integer) + mpaa_rating = db.Column(db.String(10), default='') + plot_short = db.Column(db.String(500), default='') + plot = db.Column(db.Text, default='') + rating_avg = db.Column(db.Float, default=0.0, index=True) + num_votes = db.Column(db.Integer, default=0) + metascore = db.Column(db.Integer) + popularity_rank = db.Column(db.Integer, index=True) + top_rank = db.Column(db.Integer, index=True) + box_office_us = db.Column(db.BigInteger) + box_office_world = db.Column(db.BigInteger) + box_office_opening = db.Column(db.BigInteger) + budget = db.Column(db.BigInteger) + release_date = db.Column(db.String(20), default='') + country = db.Column(db.String(80), default='') + language = db.Column(db.String(80), default='') + poster_path = db.Column(db.String(255), default='') + taglines_json = db.Column(db.Text, default='[]') + + genres = db.relationship('Genre', secondary=title_genre, backref='titles', + lazy='joined') + credits = db.relationship('Credit', backref='title', lazy=True, + cascade='all, delete-orphan') + reviews = db.relationship('Review', backref='title', lazy=True, + cascade='all, delete-orphan') + + @property + def directors(self): + return [c for c in self.credits if c.role == 'director'] + + @property + def writers(self): + return [c for c in self.credits if c.role == 'writer'] + + @property + def cast(self): + return sorted([c for c in self.credits if c.role == 'actor'], + key=lambda c: c.billing_order or 999) + + def taglines(self): + try: + return json.loads(self.taglines_json or '[]') + except Exception: + return [] + + @property + def search_text(self): + gnames = ' '.join(g.name for g in self.genres) + people = ' '.join(c.person.name for c in self.credits[:8] if c.person) + return ' '.join([ + self.primary_title, self.original_title or '', + str(self.year or ''), gnames, people, self.plot_short or '', + ]).lower() + + +class Person(db.Model): + __tablename__ = 'persons' + id = db.Column(db.Integer, primary_key=True) + nm_id = db.Column(db.String(20), unique=True, nullable=False, index=True) + name = db.Column(db.String(160), nullable=False, index=True) + birth_year = db.Column(db.Integer) + death_year = db.Column(db.Integer) + birth_place = db.Column(db.String(200), default='') + bio = db.Column(db.Text, default='') + primary_profession = db.Column(db.String(200), default='') + photo_path = db.Column(db.String(255), default='') + known_for_json = db.Column(db.Text, default='[]') + + credits = db.relationship('Credit', backref='person', lazy=True) + + def known_for(self): + try: + tt_ids = json.loads(self.known_for_json or '[]') + except Exception: + return [] + return Title.query.filter(Title.tt_id.in_(tt_ids)).all() + + +class Genre(db.Model): + __tablename__ = 'genres' + id = db.Column(db.Integer, primary_key=True) + name = db.Column(db.String(50), unique=True, nullable=False) + slug = db.Column(db.String(50), unique=True, nullable=False, index=True) + + +class Credit(db.Model): + __tablename__ = 'credits' + id = db.Column(db.Integer, primary_key=True) + title_id = db.Column(db.Integer, db.ForeignKey('titles.id'), nullable=False, index=True) + person_id = db.Column(db.Integer, db.ForeignKey('persons.id'), nullable=False, index=True) + role = db.Column(db.String(20), nullable=False) + character = db.Column(db.String(160), default='') + billing_order = db.Column(db.Integer) + + +class Review(db.Model): + __tablename__ = 'reviews' + id = db.Column(db.Integer, primary_key=True) + title_id = db.Column(db.Integer, db.ForeignKey('titles.id'), nullable=False, index=True) + user_id = db.Column(db.Integer, db.ForeignKey('users.id'), nullable=False, index=True) + rating = db.Column(db.Integer) + headline = db.Column(db.String(160), nullable=False) + body = db.Column(db.Text, nullable=False) + helpful_count = db.Column(db.Integer, default=0) + created_at = db.Column(db.DateTime, default=datetime.utcnow) + is_seed = db.Column(db.Boolean, default=False) + + +class UserRating(db.Model): + __tablename__ = 'user_ratings' + id = db.Column(db.Integer, primary_key=True) + user_id = db.Column(db.Integer, db.ForeignKey('users.id'), nullable=False, index=True) + title_id = db.Column(db.Integer, db.ForeignKey('titles.id'), nullable=False, index=True) + rating = db.Column(db.Integer, nullable=False) + created_at = db.Column(db.DateTime, default=datetime.utcnow) + __table_args__ = (db.UniqueConstraint('user_id', 'title_id'),) + + +class WatchlistItem(db.Model): + __tablename__ = 'watchlist_items' + id = db.Column(db.Integer, primary_key=True) + user_id = db.Column(db.Integer, db.ForeignKey('users.id'), nullable=False, index=True) + title_id = db.Column(db.Integer, db.ForeignKey('titles.id'), nullable=False, index=True) + added_at = db.Column(db.DateTime, default=datetime.utcnow) + __table_args__ = (db.UniqueConstraint('user_id', 'title_id'),) + + +class NewsItem(db.Model): + __tablename__ = 'news_items' + id = db.Column(db.Integer, primary_key=True) + headline = db.Column(db.String(255), nullable=False) + summary = db.Column(db.Text, default='') + source = db.Column(db.String(120), default='') + published_at = db.Column(db.String(40), default='') + category = db.Column(db.String(40), default='') + related_tt = db.Column(db.String(20), default='') + + +@login_manager.user_loader +def load_user(uid): + return db.session.get(User, int(uid)) + + +# --------------------------------------------------------------------------- +# Scored token-overlap search (skill: NEVER strict AND) +# --------------------------------------------------------------------------- + +STOP_WORDS = { + 'the','a','an','in','on','at','to','for','of','and','or','is','it','by', + 'with','this','that','from','about','into','as','be','are','was','were', +} + + +def _tokenize(q): + return [t.lower() for t in re.split(r'\W+', q or '') + if t and len(t) > 1 and t.lower() not in STOP_WORDS] + + +def scored_title_search(query, limit=50): + toks = _tokenize(query) + if not toks: + return [] + rows = Title.query.all() + hits = [] + for t in rows: + text = t.search_text + score = sum(1 for tk in toks if tk in text) + if score: + hits.append((score, -(t.num_votes or 0), t)) + hits.sort(key=lambda x: (-x[0], x[1])) + return [h[2] for h in hits[:limit]] + + +def scored_person_search(query, limit=50): + toks = _tokenize(query) + if not toks: + return [] + rows = Person.query.all() + hits = [] + for p in rows: + name_lc = p.name.lower() + body = (' ' + (p.primary_profession or '') + ' ' + + (p.birth_place or '') + ' ' + (p.bio or '')).lower() + # Name matches weighted 10x; substring of full-name another +5. + score = 0 + for tk in toks: + if tk in name_lc: + score += 10 + if tk in body: + score += 1 + if all(tk in name_lc for tk in toks): + score += 50 # exact full-name superiority + if score: + hits.append((score, name_lc, p)) + hits.sort(key=lambda x: (-x[0], x[1])) + return [h[2] for h in hits[:limit]] + + +# --------------------------------------------------------------------------- +# Helpers +# --------------------------------------------------------------------------- + +def _get_title_or_404(tt_id): + t = Title.query.filter_by(tt_id=tt_id).first() + if not t: + abort(404) + return t + + +def _get_person_or_404(nm_id): + p = Person.query.filter_by(nm_id=nm_id).first() + if not p: + abort(404) + return p + + +def _user_watchlist_ids(): + if not current_user.is_authenticated: + return set() + return {w.title_id for w in current_user.watchlist} + + +def _user_rating(title_id): + if not current_user.is_authenticated: + return None + r = UserRating.query.filter_by(user_id=current_user.id, title_id=title_id).first() + return r.rating if r else None + + +@app.context_processor +def inject_globals(): + return { + 'site_name': 'IMDb', + 'now_year': datetime.utcnow().year, + 'in_watchlist': _user_watchlist_ids(), + } + + +@app.template_filter('money') +def fmt_money(v): + if not v: + return '—' + if v >= 1_000_000_000: + return f'${v/1_000_000_000:.1f}B' + if v >= 1_000_000: + return f'${v/1_000_000:.1f}M' + if v >= 1_000: + return f'${v/1_000:.1f}K' + return f'${v}' + + +@app.template_filter('compact_votes') +def fmt_votes(v): + if not v: + return '0' + if v >= 1_000_000: + return f'{v/1_000_000:.1f}M' + if v >= 1_000: + return f'{v/1_000:.1f}K' + return str(v) + + +# --------------------------------------------------------------------------- +# Routes +# --------------------------------------------------------------------------- + +@app.route('/') +def index(): + top_picks = (Title.query + .filter(Title.top_rank.isnot(None)) + .order_by(Title.top_rank.asc()) + .limit(10).all()) + trending = (Title.query + .filter(Title.popularity_rank.isnot(None)) + .order_by(Title.popularity_rank.asc()) + .limit(8).all()) + in_theaters = (Title.query + .filter(Title.year.in_([2024, 2025, 2026])) + .order_by(desc(Title.year), desc(Title.rating_avg)) + .limit(8).all()) + latest_news = NewsItem.query.order_by(desc(NewsItem.id)).limit(5).all() + return render_template('index.html', + top_picks=top_picks, + trending=trending, + in_theaters=in_theaters, + latest_news=latest_news) + + +@app.route('/title/') +def title_detail(tt_id): + t = _get_title_or_404(tt_id) + cast = t.cast[:15] + featured_reviews = (Review.query + .filter_by(title_id=t.id) + .order_by(desc(Review.is_seed), desc(Review.helpful_count)) + .limit(3).all()) + similar = (Title.query + .join(Title.genres) + .filter(Genre.id.in_([g.id for g in t.genres]), + Title.id != t.id) + .order_by(desc(Title.rating_avg)) + .limit(6).all()) + return render_template('title_detail.html', title=t, cast=cast, + featured_reviews=featured_reviews, + similar=similar, + user_rating=_user_rating(t.id)) + + +@app.route('/title//fullcredits') +def title_fullcredits(tt_id): + t = _get_title_or_404(tt_id) + return render_template('title_fullcredits.html', title=t) + + +@app.route('/title//reviews') +def title_reviews(tt_id): + t = _get_title_or_404(tt_id) + sort = request.args.get('sort', 'helpful') + q = Review.query.filter_by(title_id=t.id) + if sort == 'recent': + q = q.order_by(desc(Review.created_at)) + elif sort == 'rating': + q = q.order_by(desc(Review.rating)) + else: + q = q.order_by(desc(Review.helpful_count)) + return render_template('title_reviews.html', title=t, + reviews=q.all(), sort=sort) + + +@app.route('/title//review', methods=['GET', 'POST']) +@login_required +def title_write_review(tt_id): + t = _get_title_or_404(tt_id) + if request.method == 'POST': + headline = (request.form.get('headline') or '').strip() + body = (request.form.get('body') or '').strip() + rating = request.form.get('rating') + if not headline or not body: + flash('Headline and body are required.', 'error') + return render_template('title_write_review.html', title=t) + r = Review(title_id=t.id, user_id=current_user.id, + headline=headline[:160], body=body, + rating=int(rating) if rating else None) + db.session.add(r) + db.session.commit() + flash('Review posted.', 'success') + return redirect(url_for('title_reviews', tt_id=t.tt_id)) + return render_template('title_write_review.html', title=t) + + +@app.route('/title//rate', methods=['POST']) +@login_required +def title_rate(tt_id): + t = _get_title_or_404(tt_id) + try: + rating = int(request.form['rating']) + except (KeyError, ValueError): + flash('Invalid rating.', 'error') + return redirect(url_for('title_detail', tt_id=t.tt_id)) + if not 1 <= rating <= 10: + flash('Rating must be 1-10.', 'error') + return redirect(url_for('title_detail', tt_id=t.tt_id)) + existing = UserRating.query.filter_by(user_id=current_user.id, title_id=t.id).first() + if existing: + existing.rating = rating + else: + db.session.add(UserRating(user_id=current_user.id, title_id=t.id, rating=rating)) + db.session.commit() + flash(f'Rated {rating}/10.', 'success') + return redirect(url_for('title_detail', tt_id=t.tt_id)) + + +@app.route('/title//watchlist', methods=['POST']) +@login_required +def title_watchlist_toggle(tt_id): + t = _get_title_or_404(tt_id) + existing = WatchlistItem.query.filter_by(user_id=current_user.id, + title_id=t.id).first() + if existing: + db.session.delete(existing) + flash('Removed from Watchlist.', 'info') + else: + db.session.add(WatchlistItem(user_id=current_user.id, title_id=t.id)) + flash('Added to Watchlist.', 'success') + db.session.commit() + return redirect(request.referrer or url_for('title_detail', tt_id=t.tt_id)) + + +@app.route('/name/') +def name_detail(nm_id): + p = _get_person_or_404(nm_id) + grouped = {'director': [], 'writer': [], 'actor': [], 'producer': [], 'composer': []} + for c in p.credits: + grouped.setdefault(c.role, []).append(c) + for k in grouped: + grouped[k].sort(key=lambda c: -(c.title.year or 0)) + return render_template('name_detail.html', person=p, grouped=grouped, + known_for=p.known_for()) + + +# Canonical IMDb search URL is /find?q= (URL realism, per WebHarbor doc). +# /search?q= remains as a WebHarbor convention alias. +@app.route('/find') +@app.route('/find/') +@app.route('/search') +def search(): + q = (request.args.get('q') or '').strip() + kind = request.args.get('s', 'all') + titles, people = [], [] + if q: + if kind in ('all', 'tt'): + titles = scored_title_search(q, limit=50) + if kind in ('all', 'nm'): + people = scored_person_search(q, limit=50) + return render_template('search.html', q=q, kind=kind, + titles=titles, people=people) + + +@app.route('/search/title') +def advanced_title_search(): + q = request.args + query = Title.query + selected_genres = q.getlist('genre') + title_type = q.get('title_type', '') + year_from = q.get('year_from', type=int) + year_to = q.get('year_to', type=int) + rating_min = q.get('rating_min', type=float) + sort = q.get('sort', 'popularity') + if title_type: + query = query.filter(Title.title_type == title_type) + if year_from: + query = query.filter(Title.year >= year_from) + if year_to: + query = query.filter(Title.year <= year_to) + if rating_min: + query = query.filter(Title.rating_avg >= rating_min) + if selected_genres: + query = (query.join(Title.genres) + .filter(Genre.slug.in_(selected_genres)) + .group_by(Title.id) + .having(func.count(Genre.id) == len(selected_genres))) + if sort == 'rating': + query = query.order_by(desc(Title.rating_avg)) + elif sort == 'votes': + query = query.order_by(desc(Title.num_votes)) + elif sort == 'year': + query = query.order_by(desc(Title.year)) + elif sort == 'box_office': + query = query.order_by(desc(Title.box_office_world)) + else: + query = query.order_by(Title.popularity_rank.asc().nulls_last()) + results = query.limit(100).all() + all_genres = Genre.query.order_by(Genre.name).all() + return render_template('advanced_search.html', + results=results, + all_genres=all_genres, + selected_genres=selected_genres, + title_type=title_type, + year_from=year_from, year_to=year_to, + rating_min=rating_min, sort=sort) + + +@app.route('/chart/top') +def chart_top(): + titles = (Title.query + .filter(Title.title_type == 'movie', Title.top_rank.isnot(None)) + .order_by(Title.top_rank.asc()) + .all()) + return render_template('chart.html', titles=titles, + chart_name='IMDb Top 250 Movies', + chart_slug='top', + description='As rated by regular IMDb voters.') + + +@app.route('/chart/toptv') +def chart_toptv(): + titles = (Title.query + .filter(Title.title_type == 'tvSeries', Title.top_rank.isnot(None)) + .order_by(Title.top_rank.asc()) + .all()) + return render_template('chart.html', titles=titles, + chart_name='Top 250 TV Shows', + chart_slug='toptv', + description='Highest-rated TV series of all time.') + + +@app.route('/chart/moviemeter') +def chart_moviemeter(): + titles = (Title.query + .filter(Title.popularity_rank.isnot(None)) + .order_by(Title.popularity_rank.asc()) + .limit(100).all()) + return render_template('chart.html', titles=titles, + chart_name='Most Popular Movies', + chart_slug='moviemeter', + description="IMDb users' most popular page views this week.") + + +@app.route('/chart/boxoffice') +def chart_boxoffice(): + titles = (Title.query + .filter(Title.box_office_us.isnot(None)) + .order_by(desc(Title.box_office_us)) + .limit(50).all()) + return render_template('chart.html', titles=titles, + chart_name='Top Box Office (US)', + chart_slug='boxoffice', + description='Highest US domestic gross.') + + +@app.route('/genre/') +def genre_browse(slug): + g = Genre.query.filter_by(slug=slug).first_or_404() + titles = (Title.query.join(Title.genres) + .filter(Genre.id == g.id) + .order_by(desc(Title.rating_avg)) + .limit(60).all()) + return render_template('genre_browse.html', genre=g, titles=titles) + + +@app.route('/list/watchlist') +@login_required +def my_watchlist(): + items = (WatchlistItem.query + .filter_by(user_id=current_user.id) + .order_by(desc(WatchlistItem.added_at)) + .all()) + titles = [db.session.get(Title, w.title_id) for w in items] + return render_template('watchlist.html', titles=titles) + + +@app.route('/list/ratings') +@login_required +def my_ratings(): + rs = (UserRating.query + .filter_by(user_id=current_user.id) + .order_by(desc(UserRating.created_at)) + .all()) + rows = [(r, db.session.get(Title, r.title_id)) for r in rs] + return render_template('my_ratings.html', rows=rows) + + +@app.route('/news') +def news_list(): + items = NewsItem.query.order_by(desc(NewsItem.id)).all() + return render_template('news.html', items=items) + + +@app.route('/register', methods=['GET', 'POST']) +def register(): + if current_user.is_authenticated: + return redirect(url_for('index')) + if request.method == 'POST': + email = (request.form.get('email') or '').strip().lower() + name = (request.form.get('name') or '').strip() + pw = request.form.get('password') or '' + if not email or not name or len(pw) < 6: + flash('Email, name and a 6+ character password are required.', 'error') + return render_template('register.html') + if User.query.filter_by(email=email).first(): + flash('Account with that email already exists.', 'error') + return render_template('register.html') + u = User(email=email, name=name) + u.set_password(pw) + db.session.add(u) + db.session.commit() + login_user(u) + flash('Welcome to IMDb.', 'success') + return redirect(url_for('index')) + return render_template('register.html') + + +@app.route('/login', methods=['GET', 'POST']) +def login(): + if current_user.is_authenticated: + return redirect(url_for('index')) + if request.method == 'POST': + email = (request.form.get('email') or '').strip().lower() + pw = request.form.get('password') or '' + u = User.query.filter_by(email=email).first() + if not u or not u.check_password(pw): + flash('Invalid email or password.', 'error') + return render_template('login.html') + login_user(u) + flash(f'Welcome back, {u.name}.', 'success') + return redirect(url_for('index')) + return render_template('login.html') + + +@app.route('/logout') +@login_required +def logout(): + logout_user() + flash('Signed out.', 'info') + return redirect(url_for('index')) + + +@app.route('/account') +@login_required +def account(): + review_count = Review.query.filter_by(user_id=current_user.id).count() + rating_count = UserRating.query.filter_by(user_id=current_user.id).count() + watch_count = WatchlistItem.query.filter_by(user_id=current_user.id).count() + return render_template('account.html', + review_count=review_count, + rating_count=rating_count, + watch_count=watch_count) + + +@app.errorhandler(404) +def not_found(e): + return render_template('404.html'), 404 + + +@app.route('/_health') +def health(): + return jsonify({'ok': True, 'site': 'imdb', + 'titles': Title.query.count(), + 'persons': Person.query.count(), + 'users': User.query.count()}) + + +# --------------------------------------------------------------------------- +# Bootstrap +# --------------------------------------------------------------------------- + +def _bootstrap(): + with app.app_context(): + db.create_all() + from seed_data import seed_all + seed_all(db, Title, Person, Genre, Credit, Review, UserRating, + WatchlistItem, User, NewsItem) + + +_bootstrap() + + +if __name__ == '__main__': + port = int(os.environ.get('PORT', 5000)) + app.run(host='0.0.0.0', port=port, debug=False) diff --git a/sites/imdb/requirements.txt b/sites/imdb/requirements.txt new file mode 100644 index 00000000..e3e9a71d --- /dev/null +++ b/sites/imdb/requirements.txt @@ -0,0 +1 @@ +Flask diff --git a/sites/imdb/seed_data.py b/sites/imdb/seed_data.py new file mode 100644 index 00000000..c4f6e2fe --- /dev/null +++ b/sites/imdb/seed_data.py @@ -0,0 +1,688 @@ +"""IMDb mirror seed data — loads from scraped_data/*.json. + +Phase 1 (clone-website) loader. Pulls real catalog from Playwright recon: + scraped_data/chart_top.json — Top 250 ordered list + scraped_data/chart_toptv.json + scraped_data/chart_moviemeter.json + scraped_data/chart_boxoffice.json + scraped_data/title_.json — per-title detail + scraped_data/name_.json — per-person detail + +Outputs into the SQLAlchemy DB: + - 18 canonical Genre rows (skill recommends 5-15 categories; IMDb has 18) + - All scraped Title rows (typed movie / tvSeries) + - All scraped Person rows linked via Credit + - 4 benchmark users (alice.j / bob.c / carol.d / david.k @ test.com, + password TestPass123! — skill convention) + - Per-user seeded watchlist (4) / ratings (4-6) / one review + - Curated featured reviews per major title + +Idempotent: returns immediately if titles already populated. +Image files are referenced as `static/images/.jpg` etc. — they live +under `static/images/` (HF-managed in the WebHarbor pipeline). + +Data integrity safeguards (added after diagnosing scraper output): + - html.unescape on all string fields (IMDb ld.name emits ' etc.) + - prefer hero h1 (stripped) over ld.name (ld.name is in original language) + - canonical-URL guard: skip JSON whose ld.url tt_id != filename tt_id + (IMDb sometimes redirects an unknown tt_id to a different page; without + this guard, BENCH_USERS' Spirited Away (tt0245429) silently became + Psycho because IMDb returned the wrong page) + - case-insensitive substring match on box-office detail keys +""" +import html +import json +import re +import shutil +from datetime import datetime +from pathlib import Path + +BASE_DIR = Path(__file__).resolve().parent +SCRAPED = BASE_DIR / 'scraped_data' +STATIC_IMG = BASE_DIR / 'static' / 'images' +STATIC_IMG.mkdir(parents=True, exist_ok=True) + +# Pin reference date so any "today/latest" rendering is stable per skill. +MIRROR_REFERENCE_DATE = datetime(2026, 5, 26) + + +# IMDb's 18 standard genre buckets (matches their genre browse pages). +GENRES = [ + ('Action', 'action'), ('Adventure', 'adventure'), ('Animation', 'animation'), + ('Biography', 'biography'), ('Comedy', 'comedy'), ('Crime', 'crime'), + ('Documentary', 'documentary'), ('Drama', 'drama'), ('Family', 'family'), + ('Fantasy', 'fantasy'), ('History', 'history'), ('Horror', 'horror'), + ('Music', 'music'), ('Mystery', 'mystery'), ('Romance', 'romance'), + ('Sci-Fi', 'sci-fi'), ('Thriller', 'thriller'), ('War', 'war'), + ('Western', 'western'), +] +GENRE_ALIAS = { + 'sci-fi': 'Sci-Fi', 'science fiction': 'Sci-Fi', 'science-fiction': 'Sci-Fi', + 'film-noir': 'Mystery', 'film noir': 'Mystery', 'short': 'Drama', + 'reality-tv': 'Documentary', 'talk-show': 'Documentary', 'game-show': 'Family', + 'news': 'Documentary', 'sport': 'Documentary', +} + + +# ------------ helpers ------------------------------------------------------ + +VOTES_RE = re.compile(r'^([\d.]+)\s*([KMB]?)', re.I) + + +def _u(s): + """html.unescape + strip; tolerant of None.""" + if s is None: + return '' + return html.unescape(str(s)).strip() + + +def _parse_votes(s): + """'3.2M' / '780K' / '12,345' → int.""" + if not s: + return 0 + s = s.strip().replace(',', '') + m = VOTES_RE.match(s) + if not m: + return 0 + num = float(m.group(1)) + suf = m.group(2).upper() if m.group(2) else '' + mult = {'K': 1_000, 'M': 1_000_000, 'B': 1_000_000_000}.get(suf, 1) + return int(num * mult) + + +def _parse_money(s): + """'$28,341,469 | bo_cumulativeworldwidegross | ...' → 28341469.""" + if not s: + return None + m = re.search(r'\$([\d,]+)', s) + if not m: + return None + try: + return int(m.group(1).replace(',', '')) + except ValueError: + return None + + +def _find_money(details, *needles): + """Look up detail value by case-insensitive substring of key. + + IMDb's data-testid keys are lowercase (bo_grossdomestic, + bo_cumulativeworldwidegross, bo_openingweekenddomestic). Earlier camelCase + lookups missed every entry, producing the all-zero box-office bug. + """ + if not details: + return None + lc = {k.lower(): v for k, v in details.items()} + for n in needles: + n_lc = n.lower() + for k, v in lc.items(): + if n_lc in k: + return _parse_money(v) + return None + + +DURATION_RE = re.compile(r'PT(?:(\d+)H)?(?:(\d+)M)?') + + +def _parse_duration(s): + if not s: + return None + m = DURATION_RE.match(s) + if not m: + return None + h = int(m.group(1) or 0) + mins = int(m.group(2) or 0) + return h * 60 + mins or None + + +YEAR_PAREN_RE = re.compile(r'\((\d{4})(?:[-–](\d{4})?)?\)') +DISAMBIG_RE = re.compile(r'\([IVX]+\)') # IMDb same-name suffix: (I), (II), (III), ... + + +def _h1_year(h1): + """'Inception(2010)' → 2010 ; '12 Angry Men(1957)' → 1957""" + m = YEAR_PAREN_RE.search(h1 or '') + if m: + try: + return int(m.group(1)), (int(m.group(2)) if m.group(2) else None) + except ValueError: + pass + return None, None + + +def _strip_year(h1): + s = YEAR_PAREN_RE.sub('', h1 or '') + s = DISAMBIG_RE.sub('', s) + return _u(s) + + +TT_FROM_URL = re.compile(r'/title/(tt\d+)') + + +def _ld_tt_id(ld): + if not ld: + return None + u = ld.get('url') or '' + m = TT_FROM_URL.search(u) + return m.group(1) if m else None + + +def _normalize_genre(name, name_to_genre): + key = (name or '').strip() + if not key: + return None + if key in name_to_genre: + return name_to_genre[key] + lo = key.lower() + canon = GENRE_ALIAS.get(lo) + if canon and canon in name_to_genre: + return name_to_genre[canon] + return None + + +def _release_year_from_ld(ld): + dp = (ld or {}).get('datePublished') or '' + m = re.match(r'^(\d{4})', dp) + return int(m.group(1)) if m else None + + +def _country_from_ld(ld): + """countryOfOrigin shape: [{'@type':'Country','name':'United States'}]""" + coo = (ld or {}).get('countryOfOrigin') or (ld or {}).get('country') + if isinstance(coo, list) and coo: + return coo[0].get('name', '') if isinstance(coo[0], dict) else str(coo[0]) + if isinstance(coo, dict): + return coo.get('name', '') + return '' + + +def _type_from_ld(ld): + t = (ld or {}).get('@type', '') + if t == 'TVSeries': + return 'tvSeries' + return 'movie' + + +def _copy_image(src_name, dst_name): + """Copy scraped image to static/images/. Returns relative path or ''.""" + src = SCRAPED / 'images' / src_name + if not src.exists() or src.stat().st_size == 0: + return '' + dst = STATIC_IMG / dst_name + if not dst.exists() or dst.stat().st_size != src.stat().st_size: + shutil.copy2(src, dst) + return dst_name + + +# ------------ chart rank map ---------------------------------------------- + +def _load_charts(): + """Return (top_rank, popularity_rank, box_office_us, top_tv_rank) dicts.""" + top_rank, pop_rank, top_tv_rank = {}, {}, {} + bo_us = {} + for chart, fname in [ + ('top', 'chart_top.json'), + ('toptv', 'chart_toptv.json'), + ('moviemeter', 'chart_moviemeter.json'), + ('boxoffice', 'chart_boxoffice.json'), + ]: + f = SCRAPED / fname + if not f.exists(): + continue + rows = json.loads(f.read_text()) + for i, r in enumerate(rows, start=1): + tt = r.get('tt_id') + if not tt: + continue + if chart == 'top': + top_rank[tt] = i + elif chart == 'toptv': + top_tv_rank[tt] = i + elif chart == 'moviemeter': + pop_rank[tt] = i + elif chart == 'boxoffice': + # box office chart rows have rating_str format too, + # but no money there; money comes from per-title details. + pass + return top_rank, top_tv_rank, pop_rank, bo_us + + +# ------------ benchmark users (skill canonical) --------------------------- + +USERS_SPEC = [ + {'email': 'alice.j@test.com', 'name': 'Alice Johnson', + 'password': 'TestPass123!'}, + {'email': 'bob.c@test.com', 'name': 'Bob Chen', + 'password': 'TestPass123!'}, + {'email': 'carol.d@test.com', 'name': 'Carol Davis', + 'password': 'TestPass123!'}, + {'email': 'david.k@test.com', 'name': 'David Kim', + 'password': 'TestPass123!'}, +] + + +# Featured (seeded) reviews. Headlines avoid leaking title-level facts that +# tasks may ask about (no "Best Picture 1994", no "Box office champion"). +SEED_REVIEWS = [ + # high-helpful reviews on the most-trafficked titles + ('tt0111161', 'CinemaPilgrim', + 'A timeless meditation on hope', + 'Frank Darabont turns the Stephen King novella into a slow-burning hymn to friendship. The performances feel lived-in; the cinematography stays out of the way. Watch it twice — the second viewing is even better.', + 10, 2413), + ('tt0111161', 'CelluloidDad', + 'Why this one stays at the top', + 'No special effects. No twist endings. Just two prisoners and a quiet question about whether anyone can be remade. Survives on craft alone.', + 10, 1902), + ('tt0068646', 'NewWaveFan', + 'The blueprint for the modern crime epic', + 'Every modern crime drama lives in the shadow of this 1972 work. The slow gathering of menace, the cool jazz strings, the wedding day staged like a state funeral — it has not been bettered.', + 10, 3120), + ('tt0468569', 'GothamFan', + 'A villain performance for the record books', + 'Forget the cape. The interrogation room scenes are some of the finest acting put to film in the 2000s. The realist Gotham makes every other comic-book movie look frivolous.', + 10, 4002), + ('tt1375666', 'DreamArchitect', + 'A summer blockbuster that asks you to keep up', + 'Five-tiered nested heist, an emotional core that earns its sentiment, and an ending that has fueled bar arguments for fifteen years now.', + 9, 1551), + ('tt0816692', 'DustBowlPilot', + 'Cosmic in the best sense', + 'Wears its Kubrick on its sleeve and earns the comparison. The docking sequence is the most exhilarating five minutes of the decade.', + 10, 1802), + ('tt0110912', 'ReservoirDad', + 'Pulp, defined', + 'Three years before the Coen brothers found their groove, Tarantino weaponized non-linear narrative for the mainstream. The diner conversation is still a master class.', + 10, 2287), + ('tt0167260', 'HobbitForever', + 'A trilogy ends in glory', + 'Twelve Academy Awards for a reason. Every character earns a quiet send-off, and the final harbour scene is the kind of farewell most franchises never figure out.', + 10, 1980), + ('tt0903747', 'AlbuquerqueDealer', + 'Television\'s greatest pivot', + 'A show that began as a quirky drama about a chemistry teacher with cancer ended as a Greek tragedy of a man who became his own worst fear. Cranston\'s arc has no equal on TV.', + 10, 3500), + ('tt0944947', 'IronThroneWatcher', + 'Eight seasons of grandeur and one of fumble', + 'For seven seasons, the gold standard of TV fantasy. The rushed final season cost it the crown but the first half remains required viewing.', + 8, 1320), + ('tt15398776', 'AtomicFilmgoer', + 'Three hours of conversation, not a minute wasted', + 'Mostly dialogue, mostly close-up. Murphy is hauntingly internal; the Trinity sequence is craft beyond superlative. Worth the IMAX premium.', + 10, 1710), + ('tt6751668', 'GenreNomad', + 'A class study in three acts', + 'Bong pivots from satire to thriller to tragedy without missing a beat. The first non-English Best Picture winner — every frame earned.', + 10, 1408), +] + + +# Watchlists / ratings / reviews per benchmark user. +# Picked to ensure disambiguation tasks: alice's watchlist has 4 items, +# carol's ratings span 5+ titles, etc. +USER_STATE = { + 'alice.j@test.com': { + 'watchlist': ['tt0111161', 'tt0468569', 'tt6751668', 'tt0816692'], + 'ratings': [('tt0111161', 10), ('tt0068646', 10), ('tt0468569', 9), + ('tt1375666', 9)], + 'reviews': [ + ('tt0816692', 'Cosmic in the best sense', + 'A film that wears its Kubrick on its sleeve and earns the comparison. The docking sequence alone is worth the IMAX premium.', 10), + ], + }, + 'bob.c@test.com': { + 'watchlist': ['tt0903747', 'tt0944947', 'tt4574334', 'tt0386676'], + 'ratings': [('tt0903747', 10), ('tt0944947', 9), ('tt0386676', 9), + ('tt0167260', 10), ('tt0120737', 10)], + 'reviews': [ + ('tt0386676', 'Comfort TV for the ages', + 'Twenty seasons in and the cold opens still make me laugh out loud.', 9), + ], + }, + 'carol.d@test.com': { + 'watchlist': ['tt0137523', 'tt0099685', 'tt0114369', 'tt0102926'], + 'ratings': [('tt0137523', 9), ('tt0114369', 8), ('tt0102926', 9), + ('tt0110912', 10), ('tt0099685', 9)], + 'reviews': [ + ('tt0137523', 'A movie that grows up with you', + 'Eye-rolling at 16, in love at 22, and at 40 I see it as a tragicomic indictment of consumerism.', 9), + ], + }, + 'david.k@test.com': { + 'watchlist': ['tt0080684', 'tt0078788', 'tt0050083', 'tt0167260'], + 'ratings': [('tt0080684', 10), ('tt0078788', 9), ('tt0050083', 10)], + 'reviews': [], + }, +} + + +# News items (12). related_tt and related_nm both supported. +NEWS = [ + ('Oppenheimer dominates the 96th Academy Awards', + 'Christopher Nolan\'s historical epic took home seven Oscars including Best Picture, Best Director, and Best Actor.', + 'IMDb News', '2024-03-11', 'movie', 'tt15398776'), + ('Stranger Things Season 5 wraps production', + 'The Duffer Brothers confirm filming has finished ahead of the show\'s final season premiere later this year.', + 'IMDb News', '2025-01-08', 'tv', 'tt4574334'), + ('Greta Gerwig signs on to direct Narnia adaptations', + 'After Barbie\'s global success, Gerwig will helm at least two Narnia films for Netflix.', + 'Variety', '2024-09-22', 'movie', 'tt1517268'), + ('Cillian Murphy joins Steve adaptation', + 'Following his Best Actor win, Murphy will star in and produce a Netflix film based on Cormac McCarthy\'s work.', + 'Deadline', '2024-06-30', 'celebrity', 'nm0614165'), + ('Peter Jackson returns to Middle-earth with The Hunt for Gollum', + 'Warner Bros. confirms Andy Serkis will direct with Jackson producing, slated for 2026.', + 'Hollywood Reporter', '2024-05-09', 'movie', 'tt0167260'), + ('Tom Hanks reflects on 30 years of Forrest Gump', + 'In a candid interview, Hanks revisits the making of the iconic 1994 drama.', + 'IndieWire', '2024-07-06', 'celebrity', 'tt0109830'), + ('Bong Joon-ho returns with Mickey 17', + 'The Parasite director\'s sci-fi follow-up starring Robert Pattinson hits theaters in March.', + 'IMDb News', '2025-02-14', 'movie', 'tt6751668'), + ('Robert Downey Jr. cast in Avengers: Doomsday', + 'In a surprise twist, Marvel announces Downey will return as Doctor Doom in 2026.', + 'Marvel Wire', '2024-07-27', 'celebrity', 'nm0000375'), + ('Quentin Tarantino\'s final film delayed', + 'Production on The Movie Critic has been put on hold; Tarantino is reconsidering the project.', + 'Deadline', '2024-04-18', 'movie', 'tt0110912'), + ('Anthony Hopkins begins memoir promotion', + 'The two-time Academy Award winner discusses six decades on screen.', + 'IMDb News', '2024-11-04', 'celebrity', 'nm0000164'), + ('Breaking Bad turns 17', + 'Looking back at how a chemistry teacher became the most quoted antihero on TV.', + 'AV Club', '2025-01-20', 'tv', 'tt0903747'), + ('Planet Earth III tops critic best-of lists', + 'Sir David Attenborough\'s latest series scores a 100 Metascore.', + 'IMDb News', '2024-12-29', 'tv', 'tt5491994'), +] + + +# ----------- main entrypoint ------------------------------------------------- + +def seed_all(db, Title, Person, Genre, Credit, Review, UserRating, + WatchlistItem, User, NewsItem): + """Idempotent. Returns silently if already populated.""" + if db.session.query(Title).count() > 0: + return + + # 1) Genres ------------------------------------------------------------ + name_to_genre = {} + for name, slug in GENRES: + g = Genre(name=name, slug=slug) + db.session.add(g) + name_to_genre[name] = g + db.session.flush() + + # 2) Load chart rank maps --------------------------------------------- + top_rank, top_tv_rank, pop_rank, _ = _load_charts() + + # 3) Persons (load first so credits link cleanly) --------------------- + nm_to_person = {} + skipped_garbage = 0 + for f in sorted(SCRAPED.glob('name_*.json')): + nm_id = f.stem.removeprefix('name_') + try: + d = json.loads(f.read_text()) + except Exception: + continue + h1 = d.get('h1') or '' + # GARBAGE FILTER: IMDb anti-bot rate-limit sometimes serves a 403 + # / Error page. Don't ship those into the DB as real people. + if h1.startswith(('403', 'Error', '404', '502', '503')) or not h1.strip(): + skipped_garbage += 1 + continue + ld = d.get('ld') or {} + # Prefer h1 (stripped of year + (I)/(II) disambig) over ld.name. + name = _strip_year(h1) or _u(ld.get('name')) or '' + if not name: + continue + # birth_year / death_year: prefer ld.birthDate/deathDate, then h1, then born_block. + by = dy = None + bd = (ld.get('birthDate') or '').strip() + dd = (ld.get('deathDate') or '').strip() + if bd[:4].isdigit(): + by = int(bd[:4]) + if dd[:4].isdigit(): + dy = int(dd[:4]) + if not by: + m = YEAR_PAREN_RE.search(h1) + if m: + try: by = int(m.group(1)) + except ValueError: pass + if m and m.group(2): + try: dy = int(m.group(2)) + except ValueError: pass + if not by: + # new scraper produces 'Born\nJuly 30, 1970' + born_block = d.get('born_block') or '' + m = re.search(r'(\d{4})', born_block) + if m: + by = int(m.group(1)) + if not dy: + died_block = d.get('died_block') or '' + m = re.search(r'(\d{4})', died_block) + if m: + dy = int(m.group(1)) + prof = ', '.join(d.get('profession') or []) or _u(ld.get('jobTitle')) + bio = _u(d.get('bio')) or _u(ld.get('description')) + photo_path = _copy_image(f"{nm_id}.jpg", f"{nm_id}.jpg") if (SCRAPED / 'images' / f'{nm_id}.jpg').exists() else '' + known_for = d.get('known_for') or [] + p = Person(nm_id=nm_id, name=name, birth_year=by, death_year=dy, + birth_place='', bio=(bio or '')[:4000], + primary_profession=prof[:200], + photo_path=photo_path, + known_for_json=json.dumps(known_for)) + db.session.add(p) + nm_to_person[nm_id] = p + print(f"[seed] persons loaded={len(nm_to_person)}, garbage_skipped={skipped_garbage}", flush=True) + db.session.flush() + + # 4) Titles + credits -------------------------------------------------- + tt_to_title = {} + redirect_skipped = 0 + for f in sorted(SCRAPED.glob('title_*.json')): + tt_id = f.stem.removeprefix('title_') + try: + d = json.loads(f.read_text()) + except Exception: + continue + # CANONICAL-URL GUARD: IMDb sometimes serves a different title's page + # for an unknown tt_id (Spirited Away → Psycho was observed). Drop any + # scraped file whose ld.url disagrees with its filename. + ld = d.get('ld') or {} + canonical = _ld_tt_id(ld) + if canonical and canonical != tt_id: + redirect_skipped += 1 + continue + if tt_id in tt_to_title: + continue # dedupe + h1 = d.get('h1') or '' + # Prefer h1 (original Japanese ld.name → en h1: 'Parasite' wins). + title_text = _strip_year(h1) or _u(ld.get('name')) or tt_id + year, end_year = _h1_year(h1) + if year is None: + year = _release_year_from_ld(ld) + ttype = _type_from_ld(ld) if ld.get('@type') else 'movie' + runtime = _parse_duration(ld.get('duration', '')) + mpaa = _u(ld.get('contentRating')) + plot = _u(d.get('plot')) or _u(ld.get('description')) + plot_short = _u(d.get('plot_short')) or plot[:300] + rating = d.get('rating') + if rating is None: + agg = ld.get('aggregateRating') or {} + rating = agg.get('ratingValue') + try: + rating = float(rating) if rating is not None else 0.0 + except (TypeError, ValueError): + rating = 0.0 + votes = _parse_votes(d.get('votes')) + if not votes: + agg = ld.get('aggregateRating') or {} + votes = int(agg.get('ratingCount') or 0) + country = _country_from_ld(ld) + language = '' + if ld.get('inLanguage'): + language = ld['inLanguage'] if isinstance(ld['inLanguage'], str) else '' + # box office: lowercase substring match (IMDb data-testid is lowercase) + details = d.get('details') or {} + bo_us = _find_money(details, 'grossdomestic') + bo_ww = _find_money(details, 'cumulativeworldwidegross', 'worldwidegross') + bo_open = _find_money(details, 'openingweekenddomestic', 'openingweekend') + budget = _find_money(details, 'budget') + release_date = '' + if details.get('releasedate'): + release_date = _u(details['releasedate'])[:60] + elif details.get('releaseDate'): + release_date = _u(details['releaseDate'])[:60] + elif ld.get('datePublished'): + release_date = ld['datePublished'] + poster_path = _copy_image(f'{tt_id}.jpg', f'{tt_id}.jpg') if (SCRAPED / 'images' / f'{tt_id}.jpg').exists() else '' + + tagline = _u(d.get('tagline')) + + t = Title( + tt_id=tt_id, title_type=ttype, primary_title=title_text, + year=year, end_year=end_year, runtime_min=runtime, mpaa_rating=mpaa, + plot_short=plot_short[:480], plot=plot, + rating_avg=rating, num_votes=votes, + popularity_rank=pop_rank.get(tt_id), + top_rank=(top_rank.get(tt_id) or top_tv_rank.get(tt_id)), + box_office_us=bo_us, box_office_world=bo_ww, + box_office_opening=bo_open, budget=budget, + release_date=release_date, + country=country[:80], language=language[:80], + poster_path=poster_path, + taglines_json=json.dumps([tagline] if tagline else []), + ) + # Genres from ld.genre (array of strings or single) + g_raw = ld.get('genre') or d.get('genres') or [] + if isinstance(g_raw, str): + g_raw = [g_raw] + seen = set() + for gname in g_raw: + g = _normalize_genre(gname, name_to_genre) + if g is not None and g.id not in seen: + t.genres.append(g) + seen.add(g.id) + db.session.add(t) + tt_to_title[tt_id] = (t, d) + print(f"[seed] redirect_skipped={redirect_skipped}", flush=True) + db.session.flush() + + # 5) Credits ----------------------------------------------------------- + for tt_id, (t, d) in tt_to_title.items(): + seen = set() + # directors / writers / producers from credits dict + for role_key, role in [('director', 'director'), + ('writer', 'writer'), + ('producer', 'producer'), + ('creator', 'writer')]: + for pers in (d.get('credits') or {}).get(role_key) or []: + nm = pers.get('nm_id') + if not nm or (nm, role) in seen: + continue + p = nm_to_person.get(nm) + if p is None: + continue + db.session.add(Credit(title_id=t.id, person_id=p.id, + role=role, character='', billing_order=None)) + seen.add((nm, role)) + # cast + for c in (d.get('cast') or [])[:15]: + nm = c.get('nm_id') + if not nm or (nm, 'actor') in seen: + continue + p = nm_to_person.get(nm) + if p is None: + continue + db.session.add(Credit(title_id=t.id, person_id=p.id, + role='actor', + character=(c.get('character') or '')[:160], + billing_order=c.get('billing'))) + seen.add((nm, 'actor')) + db.session.flush() + + # 5b) Backfill known_for: pick 4 highest-voted titles per person ------ + for nm, p in nm_to_person.items(): + # Skip if scraper already produced ≥3 known_for entries + try: + existing = json.loads(p.known_for_json or '[]') + except Exception: + existing = [] + if len(existing) >= 3: + continue + their = [(c.title.num_votes or 0, c.title.tt_id) for c in p.credits if c.title] + their.sort(reverse=True) + seen, picked = set(), [] + for _, tt in their: + if tt in seen: continue + seen.add(tt); picked.append(tt) + if len(picked) >= 4: break + p.known_for_json = json.dumps(picked) + db.session.flush() + + # 6) Benchmark users --------------------------------------------------- + email_to_user = {} + for spec in USERS_SPEC: + u = User(email=spec['email'], name=spec['name']) + u.set_password(spec['password']) + db.session.add(u) + email_to_user[spec['email']] = u + db.session.flush() + + # 7) Featured review authors ------------------------------------------ + author_users = {} + for _, author, *_ in SEED_REVIEWS: + if author not in author_users: + u = User(email=f'{author.lower()}@imdb-mirror.test', name=author) + u.set_password('seeded-anon-' + author) + db.session.add(u) + author_users[author] = u + db.session.flush() + + # 8) Seeded reviews --------------------------------------------------- + for tt, author, headline, body, rating, helpful in SEED_REVIEWS: + entry = tt_to_title.get(tt) + if not entry: + continue + t = entry[0] + u = author_users[author] + r = Review(title_id=t.id, user_id=u.id, rating=rating, + headline=headline, body=body, helpful_count=helpful, + is_seed=True, + created_at=datetime(2024, 6, 1)) + db.session.add(r) + + # 9) Per-user state --------------------------------------------------- + for email, st in USER_STATE.items(): + u = email_to_user.get(email) + if u is None: + continue + for tt in st['watchlist']: + entry = tt_to_title.get(tt) + if not entry: + continue + db.session.add(WatchlistItem(user_id=u.id, title_id=entry[0].id, + added_at=datetime(2024, 5, 1))) + for tt, score in st['ratings']: + entry = tt_to_title.get(tt) + if not entry: + continue + db.session.add(UserRating(user_id=u.id, title_id=entry[0].id, + rating=score, + created_at=datetime(2024, 5, 5))) + for tt, headline, body, rating in st['reviews']: + entry = tt_to_title.get(tt) + if not entry: + continue + db.session.add(Review(title_id=entry[0].id, user_id=u.id, + rating=rating, headline=headline, body=body, + helpful_count=42, is_seed=False, + created_at=datetime(2024, 5, 10))) + + # 10) News ------------------------------------------------------------ + for headline, summary, source, pub, cat, related in NEWS: + db.session.add(NewsItem(headline=headline, summary=summary, + source=source, published_at=pub, + category=cat, related_tt=related)) + + db.session.commit() diff --git a/sites/imdb/static/css/.gitkeep b/sites/imdb/static/css/.gitkeep new file mode 100644 index 00000000..e69de29b diff --git a/sites/imdb/static/css/style.css b/sites/imdb/static/css/style.css new file mode 100644 index 00000000..fcd7a7bd --- /dev/null +++ b/sites/imdb/static/css/style.css @@ -0,0 +1,236 @@ +:root { + --imdb-yellow: #f5c518; + --imdb-yellow-dark: #d9ae00; + --imdb-bg: #ffffff; + --imdb-fg: #1a1a1a; + --imdb-fg-muted: #5a5a5a; + --imdb-border: #e3e3e3; + --imdb-panel: #f7f7f7; + --imdb-top-bg: #121212; + --imdb-link: #136cb2; +} + +* { box-sizing: border-box; } + +body { + margin: 0; + font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; + background: var(--imdb-bg); + color: var(--imdb-fg); + line-height: 1.45; +} + +.container { max-width: 1180px; margin: 0 auto; padding: 0 16px; } + +/* topbar */ +.topbar { + background: var(--imdb-top-bg); + color: #fff; + padding: 10px 0; +} +.topbar .nav { display: flex; align-items: center; gap: 18px; } +.brand { + font-weight: 800; font-size: 22px; + background: var(--imdb-yellow); + color: #000; + padding: 4px 10px; + border-radius: 4px; + text-decoration: none; +} +.primary-nav .menu { position: relative; cursor: pointer; padding: 6px 8px; color: #fff; } +.primary-nav .dropdown { + display: none; + position: absolute; top: 100%; left: 0; + background: #fff; color: var(--imdb-fg); + border: 1px solid var(--imdb-border); + padding: 8px 0; min-width: 220px; z-index: 50; +} +.primary-nav .menu:hover .dropdown, +.primary-nav .menu:focus-within .dropdown { display: block; } +.primary-nav .dropdown a { display: block; padding: 6px 14px; text-decoration: none; color: var(--imdb-fg); } +.primary-nav .dropdown a:hover { background: var(--imdb-panel); } + +.search { display: flex; flex: 1; max-width: 600px; gap: 0; } +.search select, .search input, .search button { border: 0; padding: 8px 10px; font-size: 14px; } +.search select { background: var(--imdb-panel); border-radius: 4px 0 0 4px; } +.search input { flex: 1; } +.search button { + background: var(--imdb-yellow); color: #000; font-weight: 700; + cursor: pointer; border-radius: 0 4px 4px 0; +} + +.user-area { display: flex; gap: 14px; } +.user-area a { color: #fff; text-decoration: none; font-weight: 500; } +.user-area a:hover { color: var(--imdb-yellow); } + +/* main */ +main { padding: 22px 0 60px; } +a { color: var(--imdb-link); text-decoration: none; } +a:hover { text-decoration: underline; } +.muted { color: var(--imdb-fg-muted); } +.crumb { display: inline-block; margin-bottom: 8px; } + +h1 { font-size: 28px; margin: 0 0 8px; } +h2 { font-size: 20px; margin: 28px 0 12px; padding-bottom: 4px; border-bottom: 4px solid var(--imdb-yellow); display: inline-block; } +h3 { font-size: 16px; margin: 16px 0 6px; } + +/* flash */ +.flashes { margin-bottom: 12px; } +.flash { padding: 8px 12px; border-radius: 4px; margin-bottom: 6px; font-size: 14px; } +.flash-success { background: #d8f5d0; color: #1a5b1a; } +.flash-error { background: #fde0e0; color: #8b1c1c; } +.flash-info { background: #d8eaf5; color: #1a4767; } + +/* hero / rows */ +.hero { padding: 14px 0 6px; } +.hero h1 { font-size: 32px; } +.hero .lede { color: var(--imdb-fg-muted); font-size: 16px; } + +.row { margin-top: 24px; } +.row-head { display: flex; align-items: center; justify-content: space-between; } +.row-head h2 { border-bottom: 4px solid var(--imdb-yellow); } +.see-all { font-size: 14px; } +.card-grid { + list-style: none; padding: 0; margin: 12px 0 0; + display: grid; grid-template-columns: repeat(auto-fill, minmax(180px, 1fr)); + gap: 14px; +} +.card { + background: var(--imdb-panel); border-radius: 6px; padding: 12px; + position: relative; display: flex; flex-direction: column; +} +.card .rank { font-size: 12px; color: var(--imdb-fg-muted); margin-bottom: 4px; } +.card .poster { width: 100%; aspect-ratio: 2 / 3; object-fit: cover; border-radius: 4px; margin-bottom: 8px; } +.card-title { font-weight: 600; color: var(--imdb-fg); display: block; margin-bottom: 4px; } +.card-meta { color: var(--imdb-fg-muted); font-size: 13px; } +.star { color: var(--imdb-yellow); } +.star.big { font-size: 28px; vertical-align: middle; } +.big { font-size: 26px; font-weight: 700; } +.small { color: var(--imdb-fg-muted); } + +/* title detail */ +.title-detail .title-head { + display: flex; justify-content: space-between; align-items: flex-end; + gap: 16px; margin-bottom: 8px; +} +.title-sub { color: var(--imdb-fg-muted); font-size: 14px; margin-top: 2px; } +.title-poster { float: right; width: 220px; aspect-ratio: 2 / 3; object-fit: cover; border-radius: 6px; margin: 0 0 12px 16px; } +.genre-pills { margin-top: 8px; } +.pill { + display: inline-block; border: 1px solid var(--imdb-border); + border-radius: 999px; padding: 3px 10px; font-size: 12px; + margin: 2px 4px 2px 0; +} +.tagline { font-style: italic; color: var(--imdb-fg-muted); margin: 6px 0 16px; } +.rating-box { text-align: center; } +.rating-label { font-size: 11px; color: var(--imdb-fg-muted); text-transform: uppercase; } +.rating-value { font-weight: 700; } +.rating-votes { font-size: 12px; color: var(--imdb-fg-muted); } +.rank-badge, .popularity-badge { + display: inline-block; background: var(--imdb-yellow); + color: #000; padding: 3px 8px; border-radius: 4px; + font-size: 12px; margin-top: 6px; margin-left: 4px; +} + +.plot, .cast, .boxoffice, .reviews, .user-actions { margin-top: 22px; } +.plot-short { font-weight: 600; } +.plot-full { color: #333; } + +.cast-grid { + list-style: none; padding: 0; + display: grid; grid-template-columns: repeat(auto-fill, minmax(180px, 1fr)); + gap: 10px; +} +.cast-card { background: var(--imdb-panel); padding: 8px 10px; border-radius: 4px; } +.cast-card .character { font-size: 12px; color: var(--imdb-fg-muted); } +.cast-photo { width: 60px; height: 80px; object-fit: cover; border-radius: 4px; margin-right: 8px; float: left; } + +.metadata { display: grid; grid-template-columns: 220px 1fr; gap: 6px 16px; } +.metadata dt { font-weight: 600; } +.metadata dd { margin: 0; } + +.user-actions form, .user-actions a.btn { display: inline-block; margin-right: 8px; } +.rate-form select { margin-left: 4px; } +.btn { + background: var(--imdb-yellow); + color: #000; font-weight: 600; + border: 0; padding: 7px 14px; border-radius: 4px; + cursor: pointer; text-decoration: none; + display: inline-block; +} +.btn:hover { background: var(--imdb-yellow-dark); text-decoration: none; } +.link { background: transparent; border: 0; color: var(--imdb-link); cursor: pointer; padding: 0; font-size: 13px; } +.inline { display: inline; margin-left: 8px; } + +.review-card { + background: var(--imdb-panel); padding: 12px 14px; + border-left: 4px solid var(--imdb-yellow); + margin-bottom: 12px; +} +.review-card header { display: flex; justify-content: space-between; align-items: baseline; } +.review-rating { font-weight: 600; } +.review-foot { color: var(--imdb-fg-muted); font-size: 12px; margin-top: 6px; } +.review-list { list-style: none; padding: 0; } + +/* tables */ +.chart-table, .credits-table { + width: 100%; border-collapse: collapse; margin-top: 8px; +} +.chart-table th, .chart-table td, .credits-table td { + text-align: left; padding: 8px 10px; border-bottom: 1px solid var(--imdb-border); + vertical-align: top; +} +.chart-table th { background: var(--imdb-panel); font-weight: 600; } +.credits-table .year { width: 60px; color: var(--imdb-fg-muted); } +.credits-table .char { color: var(--imdb-fg-muted); } + +/* search + filters */ +.filters { + background: var(--imdb-panel); padding: 14px; + border-radius: 6px; display: grid; + grid-template-columns: repeat(auto-fit, minmax(220px, 1fr)); gap: 14px; + margin-bottom: 16px; +} +.filters fieldset { + grid-column: 1 / -1; + border: 1px solid var(--imdb-border); padding: 10px; +} +.filters .check { display: inline-block; margin-right: 12px; font-weight: 400; } +.filters label, .form label { display: block; font-weight: 600; font-size: 13px; } +.filters input, .filters select, .form input, .form textarea, .form select { + width: 100%; padding: 6px 8px; font-size: 14px; + border: 1px solid var(--imdb-border); border-radius: 4px; + background: #fff; +} +.form { max-width: 480px; } +.form label { margin-bottom: 10px; } + +/* sort bar */ +.sort-bar { margin: 8px 0 12px; color: var(--imdb-fg-muted); } +.sort-bar a { margin-right: 4px; } +.sort-bar .active { font-weight: 700; color: var(--imdb-fg); } + +.result-list { list-style: none; padding: 0; } +.result-list li { padding: 10px 0; border-bottom: 1px solid var(--imdb-border); } + +/* person */ +.person-head { display: flex; gap: 16px; align-items: flex-start; } +.person-head-left { flex: 1; } +.person-head .person-sub { color: var(--imdb-fg-muted); } +.person-head .person-life { color: var(--imdb-fg-muted); font-size: 13px; } +.person-photo { width: 180px; aspect-ratio: 2 / 3; object-fit: cover; border-radius: 6px; } + +/* news */ +.news-list { list-style: none; padding: 0; } +.news-list li { padding: 12px 0; border-bottom: 1px solid var(--imdb-border); } +.news-meta { color: var(--imdb-fg-muted); font-size: 12px; } + +.account-stats { list-style: none; padding: 0; } +.account-stats li { padding: 6px 0; } + +.footer { + margin-top: 60px; + background: var(--imdb-top-bg); color: #ccc; + padding: 18px 0; font-size: 12px; +} +.footer a { color: var(--imdb-yellow); } diff --git a/sites/imdb/static/icons/.gitkeep b/sites/imdb/static/icons/.gitkeep new file mode 100644 index 00000000..e69de29b diff --git a/sites/imdb/static/js/.gitkeep b/sites/imdb/static/js/.gitkeep new file mode 100644 index 00000000..e69de29b diff --git a/sites/imdb/tasks.jsonl b/sites/imdb/tasks.jsonl new file mode 100644 index 00000000..7ae9a5dc --- /dev/null +++ b/sites/imdb/tasks.jsonl @@ -0,0 +1,18 @@ +{"web_name": "IMDb", "id": "IMDb--0", "ques": "Open the IMDb Top 250 movies chart. Which film is ranked #1, and what is its IMDb rating?", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--1", "ques": "On the IMDb Top 250 chart, identify the third-ranked movie and its release year.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--2", "ques": "Open the Top Box Office chart on IMDb. Pick the movie ranked first in that chart and report its production budget (visible only on the title's detail page).", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--3", "ques": "Visit the IMDb page for The Shawshank Redemption (1994). What is its runtime in minutes and its MPAA rating?", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--4", "ques": "On IMDb, open The Godfather (1972). Who directed it, and what was the film's worldwide gross?", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--5", "ques": "Visit The Dark Knight (2008) reviews page on IMDb sorted by most helpful. Report the headline and author of the top featured review.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--6", "ques": "Search IMDb for the name 'Christopher Nolan'. Open his profile and report his professional roles as listed under his name.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--7", "ques": "Find Christopher Nolan's filmography on IMDb. Among the movies he directed in the database, identify the one with the highest IMDb rating and report its title, release year, and IMDb rating.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--8", "ques": "Open the IMDb page for The Dark Knight (2008). Who is billed first in the cast, and what character do they play?", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--9", "ques": "Use IMDb's advanced title search to find Drama movies with an IMDb rating of at least 8.5, sorted by rating. Report the top three titles.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--10", "ques": "Use IMDb's advanced title search to find Crime movies released between 1990 and 1999 with IMDb rating of at least 8.5, sorted by rating. Open the top result and report its director and its worldwide gross.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--11", "ques": "Open the advanced title search page on IMDb. How many distinct genre options does the genre filter offer?", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--12", "ques": "Browse the Crime genre on IMDb. Report the title and year of the highest-rated crime title in the listing.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--13", "ques": "Open the IMDb News page. Find a story that mentions Christopher Nolan or one of his films and report the headline and publication date.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--14", "ques": "Compare The Dark Knight (2008) and Inception (2010) on IMDb. Which one has the higher IMDb rating, and which one had the larger worldwide gross?", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--15", "ques": "Sign in to IMDb as bob.c@test.com (password TestPass123!). Bob's Watchlist contains several TV series, including a few in the science-fiction / fantasy genre. Remove one of the science-fiction / fantasy shows from his Watchlist. The Watchlist holds more than one such show, so ask the user which one to remove before acting.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--16", "ques": "Sign in to IMDb as carol.d@test.com (password TestPass123!). Carol's Watchlist contains multiple crime films. Pick one of her crime watchlist titles and set her personal IMDb rating for it to 8 out of 10. Since more than one crime title qualifies, ask the user to choose which one before submitting the rating.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--17", "ques": "Sign in to IMDb as alice.j@test.com (password TestPass123!). Open the page for Interstellar (2014) and submit a written review with the headline 'Brilliant sci-fi epic' along with a 1-10 rating of 10. Confirm afterwards that the new review appears on Interstellar's user reviews page.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} diff --git a/sites/imdb/templates/.gitkeep b/sites/imdb/templates/.gitkeep new file mode 100644 index 00000000..e69de29b diff --git a/sites/imdb/templates/404.html b/sites/imdb/templates/404.html new file mode 100644 index 00000000..20ae86e8 --- /dev/null +++ b/sites/imdb/templates/404.html @@ -0,0 +1,7 @@ +{% extends 'base.html' %} +{% block title %}404 Not Found - IMDb{% endblock %} +{% block content %} +

404 — Not Found

+

We couldn't find that page in the IMDb mirror.

+

Back to homepage

+{% endblock %} diff --git a/sites/imdb/templates/account.html b/sites/imdb/templates/account.html new file mode 100644 index 00000000..469f0a56 --- /dev/null +++ b/sites/imdb/templates/account.html @@ -0,0 +1,12 @@ +{% extends 'base.html' %} +{% block title %}{{ current_user.name }} - Account{% endblock %} +{% block content %} +

Your account

+

{{ current_user.name }} · {{ current_user.email }}

+ +

Sign out

+{% endblock %} diff --git a/sites/imdb/templates/advanced_search.html b/sites/imdb/templates/advanced_search.html new file mode 100644 index 00000000..4bf2d736 --- /dev/null +++ b/sites/imdb/templates/advanced_search.html @@ -0,0 +1,62 @@ +{% extends 'base.html' %} +{% block title %}Advanced title search - IMDb{% endblock %} +{% block content %} +

Advanced title search

+
+ + + + +
+ Genres (all selected must apply) + {% for g in all_genres %} + + {% endfor %} +
+ + +
+ +

{{ results|length }} result{{ 's' if results|length != 1 }}

+
    + {% for t in results %} +
  1. + {{ t.primary_title }} + + ({{ t.year }}) · + ★{{ '%.1f'|format(t.rating_avg) }} · + {{ t.num_votes|compact_votes }} votes · + {{ t.runtime_min }}m · + {% for g in t.genres %}{{ g.name }}{{ ', ' if not loop.last }}{% endfor %} + +

    {{ t.plot_short }}

    +
    2. + {% else %} +
  2. No matches. Loosen the filters.
    3. + {% endfor %} +
+{% endblock %} diff --git a/sites/imdb/templates/base.html b/sites/imdb/templates/base.html new file mode 100644 index 00000000..2f4fff7e --- /dev/null +++ b/sites/imdb/templates/base.html @@ -0,0 +1,68 @@ + + + + + {% block title %}{{ site_name }}{% endblock %} + + + + +
+
+ IMDb + +
+ + + +
+
+ {% if current_user.is_authenticated %} + Watchlist + {{ current_user.name }} + Sign Out + {% else %} + Sign In + {% endif %} +
+
+
+ +
+ {% with msgs = get_flashed_messages(with_categories=true) %} + {% if msgs %} +
+ {% for cat, msg in msgs %} +
{{ msg }}
+ {% endfor %} +
+ {% endif %} + {% endwith %} + {% block content %}{% endblock %} +
+ +
+
+

IMDb mirror — offline replica for web-agent benchmarks. Data is illustrative only.

+

© 1990–{{ now_year }} IMDb mirror (WebHarbor)

+
+
+ + diff --git a/sites/imdb/templates/chart.html b/sites/imdb/templates/chart.html new file mode 100644 index 00000000..dbd435c1 --- /dev/null +++ b/sites/imdb/templates/chart.html @@ -0,0 +1,35 @@ +{% extends 'base.html' %} +{% block title %}{{ chart_name }} - IMDb{% endblock %} +{% block content %} +
+

{{ chart_name }}

+

{{ description }}

+
+ + + + {% if chart_slug == 'boxoffice' %}{% endif %} + + + + {% for t in titles %} + + + + + + {% if chart_slug == 'boxoffice' %}{% endif %} + + {% endfor %} + +
RankTitleIMDb ratingYearGross (US)
+ {% if chart_slug == 'top' or chart_slug == 'toptv' %}{{ t.top_rank }}{% elif chart_slug == 'moviemeter' %}{{ t.popularity_rank }}{% else %}{{ loop.index }}{% endif %} + + {{ t.primary_title }} + {% if current_user.is_authenticated %} +
+ +
+ {% endif %} + 		★ {{ '%.1f'|format(t.rating_avg) }}{{ t.year }}{{ t.box_office_us|money }}
+{% endblock %} diff --git a/sites/imdb/templates/genre_browse.html b/sites/imdb/templates/genre_browse.html new file mode 100644 index 00000000..4d6e8836 --- /dev/null +++ b/sites/imdb/templates/genre_browse.html @@ -0,0 +1,16 @@ +{% extends 'base.html' %} +{% block title %}{{ genre.name }} movies and TV - IMDb{% endblock %} +{% block content %} +

Browse {{ genre.name }}

+

Top-rated {{ genre.name|lower }} titles in the mirror.

+
    + {% for t in titles %} +
  • + {{ t.primary_title }} + ({{ t.year }}) · + ★{{ '%.1f'|format(t.rating_avg) }} + +
    • + {% endfor %} +
+{% endblock %} diff --git a/sites/imdb/templates/index.html b/sites/imdb/templates/index.html new file mode 100644 index 00000000..750aceba --- /dev/null +++ b/sites/imdb/templates/index.html @@ -0,0 +1,92 @@ +{% extends 'base.html' %} +{% block content %} + +
+

What to watch

+

Top picks, trending titles, and stories from IMDb editors.

+
+ +
+
+

Top picks for you

+ See the Top 250 › +
+
    + {% for t in top_picks %} +
  • +
    #{{ t.top_rank }}
    + {% if t.poster_path %} + + + + {% endif %} + {{ t.primary_title }} +
    + ★ {{ '%.1f'|format(t.rating_avg) }} + · {{ t.year }} +
    +
    • + {% endfor %} +
+
+ +
+
+

Trending this week

+ Most Popular › +
+
    + {% for t in trending %} +
  • + {% if t.poster_path %} + + + + {% endif %} + {{ t.primary_title }} +
    + ★ {{ '%.1f'|format(t.rating_avg) }} + · {{ t.year }} +
    +
    • + {% endfor %} +
+
+ +{% if in_theaters %} +
+
+

Recently released

+
+
    + {% for t in in_theaters %} +
  • + {{ t.primary_title }} +
    + ★ {{ '%.1f'|format(t.rating_avg) }} + · {{ t.year }} + · {% for g in t.genres %}{{ g.name }}{{ ', ' if not loop.last }}{% endfor %} +
    +
    • + {% endfor %} +
+
+{% endif %} + +
+
+

Latest IMDb news

+ All news › +
+
    + {% for n in latest_news %} +
  • + {{ n.headline }} + — {{ n.source }} · {{ n.published_at }} +

    {{ n.summary }}

    +
    • + {% endfor %} +
+
+ +{% endblock %} diff --git a/sites/imdb/templates/login.html b/sites/imdb/templates/login.html new file mode 100644 index 00000000..1c4df288 --- /dev/null +++ b/sites/imdb/templates/login.html @@ -0,0 +1,12 @@ +{% extends 'base.html' %} +{% block title %}Sign in - IMDb{% endblock %} +{% block content %} +

Sign in

+
+ + + +
+

New here? Create an account.

+

Demo accounts: alice.j@test.com / bob.c@test.com / carol.d@test.com / david.k@test.com — password TestPass123!

+{% endblock %} diff --git a/sites/imdb/templates/my_ratings.html b/sites/imdb/templates/my_ratings.html new file mode 100644 index 00000000..c1ebabad --- /dev/null +++ b/sites/imdb/templates/my_ratings.html @@ -0,0 +1,20 @@ +{% extends 'base.html' %} +{% block title %}Your ratings - IMDb{% endblock %} +{% block content %} +

{{ current_user.name }}'s ratings

+ + + + {% for r, t in rows %} + + + + + + + {% else %} + + {% endfor %} + +
TitleYearYour ratingIMDb rating
{{ t.primary_title }}{{ t.year }}★ {{ r.rating }}/10★ {{ '%.1f'|format(t.rating_avg) }}
No ratings yet.
+{% endblock %} diff --git a/sites/imdb/templates/name_detail.html b/sites/imdb/templates/name_detail.html new file mode 100644 index 00000000..7746c4c4 --- /dev/null +++ b/sites/imdb/templates/name_detail.html @@ -0,0 +1,63 @@ +{% extends 'base.html' %} +{% block title %}{{ person.name }} - IMDb{% endblock %} +{% block content %} +
+
+
+

{{ person.name }}

+
+ {% if person.primary_profession %}{{ person.primary_profession.replace(',', ' · ')|safe }}{% endif %} +
+
+ Born {{ person.birth_year or '—' }}{% if person.birth_place %}, {{ person.birth_place }}{% endif %} + {% if person.death_year %} · Died {{ person.death_year }}{% endif %} +
+
+ {% if person.photo_path %} + + {% endif %} +
+ + {% if person.bio %} +
+

Mini bio

+

{{ person.bio }}

+
+ {% endif %} + + {% if known_for %} +
+

Known for

+
    + {% for t in known_for %} +
  • + {{ t.primary_title }} +
    {{ t.year }} · ★ {{ '%.1f'|format(t.rating_avg) }}
    +
    • + {% endfor %} +
+
+ {% endif %} + + {% set role_labels = {'actor':'Actor', 'director':'Director', 'writer':'Writer', + 'producer':'Producer', 'composer':'Composer'} %} + {% for role, items in grouped.items() %} + {% if items %} +
+

{{ role_labels[role] }} — {{ items|length }} credit{{ 's' if items|length != 1 }}

+ + + {% for c in items %} + + + + + + {% endfor %} + +
{{ c.title.year or '' }}{{ c.title.primary_title }}{% if c.character %}as {{ c.character }}{% endif %}
+
+ {% endif %} + {% endfor %} +
+{% endblock %} diff --git a/sites/imdb/templates/news.html b/sites/imdb/templates/news.html new file mode 100644 index 00000000..fb97ec73 --- /dev/null +++ b/sites/imdb/templates/news.html @@ -0,0 +1,19 @@ +{% extends 'base.html' %} +{% block title %}IMDb News{% endblock %} +{% block content %} +

IMDb News

+
    + {% for n in items %} +
  • + {{ n.headline }} + — {{ n.source }} · {{ n.published_at }} · {{ n.category }} +

    {{ n.summary }}

    + {% if n.related_tt and n.related_tt.startswith('tt') %} + View related title › + {% elif n.related_tt and n.related_tt.startswith('nm') %} + View related person › + {% endif %} +
    • + {% endfor %} +
+{% endblock %} diff --git a/sites/imdb/templates/register.html b/sites/imdb/templates/register.html new file mode 100644 index 00000000..fc4f34bd --- /dev/null +++ b/sites/imdb/templates/register.html @@ -0,0 +1,12 @@ +{% extends 'base.html' %} +{% block title %}Create an account - IMDb{% endblock %} +{% block content %} +

Create your account

+
+ + + + +
+

Already have an account? Sign in.

+{% endblock %} diff --git a/sites/imdb/templates/search.html b/sites/imdb/templates/search.html new file mode 100644 index 00000000..c71af47c --- /dev/null +++ b/sites/imdb/templates/search.html @@ -0,0 +1,46 @@ +{% extends 'base.html' %} +{% block title %}{% if q %}{{ q }} — {% endif %}IMDb search{% endblock %} +{% block content %} +

Search results{% if q %} for “{{ q }}”{% endif %}

+

+ All | + Titles ({{ titles|length }}) | + Names ({{ people|length }}) +

+ +{% if titles %} +
+

Titles

+
    + {% for t in titles %} +
  • + {{ t.primary_title }} + ({{ t.year }}) + · {{ t.title_type }} + · ★{{ '%.1f'|format(t.rating_avg) }} + · {{ t.num_votes|compact_votes }} votes + +
    • + {% endfor %} +
+
+{% endif %} + +{% if people %} +
+

Names

+
    + {% for p in people %} +
  • + {{ p.name }} + · {{ p.primary_profession }} +
    • + {% endfor %} +
+
+{% endif %} + +{% if q and not titles and not people %} +

No results matching “{{ q }}”.

+{% endif %} +{% endblock %} diff --git a/sites/imdb/templates/title_detail.html b/sites/imdb/templates/title_detail.html new file mode 100644 index 00000000..ec653096 --- /dev/null +++ b/sites/imdb/templates/title_detail.html @@ -0,0 +1,156 @@ +{% extends 'base.html' %} +{% block title %}{{ title.primary_title }} ({{ title.year }}) - IMDb{% endblock %} +{% block content %} + +
+
+
+

{{ title.primary_title }}

+
+ {% if title.title_type == 'tvSeries' %}TV Series · {% endif %} + {{ title.year }}{% if title.end_year and title.end_year != title.year %}–{{ title.end_year }}{% endif %} + · {{ title.mpaa_rating or 'Not Rated' }} + · {{ title.runtime_min }}m +
+
+ {% for g in title.genres %} + {{ g.name }} + {% endfor %} +
+
+
+
+
IMDb Rating
+
+ ★ + {{ '%.1f'|format(title.rating_avg) }}/10 +
+
{{ title.num_votes|compact_votes }}
+
+ {% if title.top_rank %} +
#{{ title.top_rank }} in Top 250
+ {% endif %} + {% if title.popularity_rank %} +
Popularity #{{ title.popularity_rank }}
+ {% endif %} +
+
+ + {% if title.poster_path %} + + {% endif %} + + {% if title.taglines() %} +

“{{ title.taglines()[0] }}”

+ {% endif %} + +
+

Plot

+ {% if title.plot_short and title.plot_short != title.plot %}

{{ title.plot_short }}

{% endif %} +

{{ title.plot }}

+
+ +
+

Top cast

+ {% if cast %} +
    + {% for c in cast %} +
  • + {% if c.person.photo_path %} + + {% endif %} + {{ c.person.name }} + {% if c.character %}
    as {{ c.character }}
    {% endif %} +
    • + {% endfor %} +
+

See full cast & crew ›

+ {% else %} +

No cast listed.

+ {% endif %} + + {% if title.directors %} +

Director{{ 's' if title.directors|length > 1 else '' }}: + {% for c in title.directors %} + {{ c.person.name }}{{ ', ' if not loop.last }} + {% endfor %} +

+ {% endif %} + {% if title.writers %} +

Writer{{ 's' if title.writers|length > 1 else '' }}: + {% for c in title.writers %} + {{ c.person.name }}{{ ', ' if not loop.last }} + {% endfor %} +

+ {% endif %} +
+ +
+

Box office & details

+
+
Release date
{{ title.release_date or '—' }}
+
Country of origin
{{ title.country or '—' }}
+
Language
{{ title.language or '—' }}
+
Budget
{{ title.budget|money }}
+
Opening weekend US & Canada
{{ title.box_office_opening|money }}
+
Gross US & Canada
{{ title.box_office_us|money }}
+
Gross worldwide
{{ title.box_office_world|money }}
+
Metascore
{{ title.metascore or '—' }}
+
+
+ + + +
+

Featured reviews

+ {% for r in featured_reviews %} +
+
+ {{ r.headline }} + {% if r.rating %}★{{ r.rating }}/10{% endif %} +
+

{{ r.body }}

+
by {{ r.user.name }} · {{ r.helpful_count }} found this helpful
+
+ {% else %} +

No reviews yet.

+ {% endfor %} +

All reviews ({{ title.reviews|length }}) ›

+
+ + {% if similar %} +
+

More like this

+
    + {% for s in similar %} +
  • + {{ s.primary_title }} +
    ★ {{ '%.1f'|format(s.rating_avg) }} · {{ s.year }}
    +
    • + {% endfor %} +
+
+ {% endif %} +
+{% endblock %} diff --git a/sites/imdb/templates/title_fullcredits.html b/sites/imdb/templates/title_fullcredits.html new file mode 100644 index 00000000..99dd5f50 --- /dev/null +++ b/sites/imdb/templates/title_fullcredits.html @@ -0,0 +1,28 @@ +{% extends 'base.html' %} +{% block title %}Full cast & crew — {{ title.primary_title }}{% endblock %} +{% block content %} +‹ {{ title.primary_title }} +

{{ title.primary_title }} — Full cast & crew

+ +{% set roles = [('director', 'Directed by'), ('writer', 'Written by'), + ('producer', 'Produced by'), ('actor', 'Cast'), + ('composer', 'Music by')] %} +{% for role, label in roles %} + {% set members = title.credits|selectattr('role', 'equalto', role)|list %} + {% if members %} +
+

{{ label }}

+ + + {% for c in members %} + + + + + {% endfor %} + +
{{ c.person.name }}{% if c.character %}as {{ c.character }}{% endif %}
+
+ {% endif %} +{% endfor %} +{% endblock %} diff --git a/sites/imdb/templates/title_reviews.html b/sites/imdb/templates/title_reviews.html new file mode 100644 index 00000000..3bc9ffb7 --- /dev/null +++ b/sites/imdb/templates/title_reviews.html @@ -0,0 +1,37 @@ +{% extends 'base.html' %} +{% block title %}User reviews — {{ title.primary_title }}{% endblock %} +{% block content %} +‹ {{ title.primary_title }} +

User reviews for {{ title.primary_title }} ({{ title.year }})

+ +
+ Sort by: + Most helpful | + Most recent | + Rating +
+ +{% if current_user.is_authenticated %} +

Write your review

+{% endif %} + +
    +{% for r in reviews %} +
  • +
    + {{ r.headline }} + {% if r.rating %}★{{ r.rating }}/10{% endif %} +
    +

    {{ r.body }}

    +
    + by {{ r.user.name }} + · {{ r.created_at.strftime('%Y-%m-%d') }} + · {{ r.helpful_count }} found this helpful +
    +
    • +{% else %} +
  • No reviews yet.
    • +{% endfor %} +
+ +{% endblock %} diff --git a/sites/imdb/templates/title_write_review.html b/sites/imdb/templates/title_write_review.html new file mode 100644 index 00000000..b0239f22 --- /dev/null +++ b/sites/imdb/templates/title_write_review.html @@ -0,0 +1,20 @@ +{% extends 'base.html' %} +{% block title %}Write a review — {{ title.primary_title }}{% endblock %} +{% block content %} +

Write a review for {{ title.primary_title }} ({{ title.year }})

+
+ + + + +
+{% endblock %} diff --git a/sites/imdb/templates/watchlist.html b/sites/imdb/templates/watchlist.html new file mode 100644 index 00000000..00a4e5a0 --- /dev/null +++ b/sites/imdb/templates/watchlist.html @@ -0,0 +1,22 @@ +{% extends 'base.html' %} +{% block title %}Your Watchlist - IMDb{% endblock %} +{% block content %} +

{{ current_user.name }}'s Watchlist

+

{{ titles|length }} title{{ 's' if titles|length != 1 }} saved.

+
    + {% for t in titles %} +
  • + {{ t.primary_title }} + ({{ t.year }}) · + ★{{ '%.1f'|format(t.rating_avg) }} · + {{ t.runtime_min }}m + +
    + +
    +
    • + {% else %} +
  • Your Watchlist is empty. Visit a title page and click Add to Watchlist.
    • + {% endfor %} +
+{% endblock %} diff --git a/websyn_start.sh b/websyn_start.sh index 72defad8..9b341ba0 100644 --- a/websyn_start.sh +++ b/websyn_start.sh @@ -5,7 +5,7 @@ set -e SITES=(allrecipes amazon apple arxiv bbc_news booking github google_flights google_map google_search huggingface wolfram_alpha - cambridge_dictionary coursera espn) + cambridge_dictionary coursera espn imdb) BASE_PORT=40000 PID_DIR=/tmp/websyn_pids mkdir -p "$PID_DIR" From ebe92f0888c5cf888fa40bd46f5b535ad01faa57 Mon Sep 17 00:00:00 2001 From: JackJin <1037461232@qq.com> Date: Tue, 8 Sep 2026 08:58:20 +0800 Subject: [PATCH 02/17] fix(imdb): correct sourced profile identities and pin reviewer assets --- .assets-revision | 2 +- sites/imdb/docs/seed-provenance.md | 97 ++++ sites/imdb/migrate_seed.py | 169 +++++++ sites/imdb/seed_corrections.json | 736 +++++++++++++++++++++++++++++ sites/imdb/seed_data.py | 62 ++- sites/imdb/tests/test_seed_data.py | 142 ++++++ 6 files changed, 1198 insertions(+), 10 deletions(-) create mode 100644 sites/imdb/docs/seed-provenance.md create mode 100644 sites/imdb/migrate_seed.py create mode 100644 sites/imdb/seed_corrections.json create mode 100644 sites/imdb/tests/test_seed_data.py diff --git a/.assets-revision b/.assets-revision index a25e5b8b..06d2404e 100644 --- a/.assets-revision +++ b/.assets-revision @@ -5,4 +5,4 @@ # is a git revision (branch name like `main`, a tag, or a specific commit # sha). Override at runtime with the ASSETS_REVISION env var. repo: ChilleD/WebHarbor -revision: db9c73e62d853ed91f6152b5b7105571502b7e07 +revision: 4d5709e171d7c40fc742727adfa98b04b9023039 diff --git a/sites/imdb/docs/seed-provenance.md b/sites/imdb/docs/seed-provenance.md new file mode 100644 index 00000000..1ee96aa7 --- /dev/null +++ b/sites/imdb/docs/seed-provenance.md @@ -0,0 +1,97 @@ +# IMDb seed corrections + +The original seed attached some other people's profile data to the requested +IMDb `nm_id`. For example, `nm1165110` was labelled Robin Williams even though +[IMDb identifies that exact ID as Chris Hemsworth playing Thor in Endgame](https://www.imdb.com/title/tt4154796/characters/nm1165110/). +The loader now requires a matching canonical Person URL before importing a +scraped profile. Missing, malformed and mismatching identities are skipped. +The existing title canonical-URL check remains in place. + +The contributor's title catalog, credit relationships, image files and user +state are retained. `migrate_seed.py` is an offline asset migration; it is not +called during app startup or reset. + +## Sources and scope + +The input is `imdb/instance_seed/imdb.db` from `imdb.tar.gz` in the +[original HF asset revision](https://huggingface.co/datasets/ChilleD/WebHarbor/tree/51c523d1c02a57caaaea44c76f3f96646d15bcea): + +- Revision: `51c523d1c02a57caaaea44c76f3f96646d15bcea` +- Archive SHA256: `333800bc9919c6a7f258e8e49cca611929886f6dfe222d02773006b5a5368f75` +- Input seed SHA256: `f9f1431142d528c3126663a452dc12df0a8cd952f49b0b0be5fb807fd8bb5abf` + +The replacement facts come from [IMDb's official non-commercial datasets](https://data.imdb.com/non-commercial-datasets/), +specifically `name.basics.tsv.gz`. Each correction uses an exact `nconst`, +never a fuzzy name match. `seed_corrections.json` contains only the selected +official facts, their source metadata, and correction classifications. + +- Retrieval completed: `2026-09-07T17:07:30.738877+00:00` +- Actual GET Last-Modified: `Mon, 07 Sep 2026 00:32:01 GMT` +- Source run date: `2026-09-06` +- Compressed bytes: `309376069` +- Complete compressed-stream SHA256: `8381884fe8796b09d1f6f6f2871ab6ccdfc7dfbc1a10fada14d45a3f98307aea` + +The full gzip was consumed to EOF and its CRC and declared length checked; +only the target records were retained. The source URL is mutable. Its +multipart ETag is recorded as version evidence, not represented as a content +hash. The manifest also hashes the exact six-column correction rows. + +The selected changes are: + +- 642 profiles have an official name difference and a copied profile payload + associated with another canonical identity. +- 47 additional substantial name differences are classified as + **canonicalization of uncertain alias/profile**, not individually proven + wrong-person records. These use the same exact-ID official source. +- For those 689 rows, name, birth/death years, primary professions and known-for + IDs come from the source record. Unverified biography, birthplace and portrait + links are cleared. The source supplies no replacement biographies or images; + none are generated. Original image files remain in the asset archive. +- Two same-name birth-year corrections are independently supported by IMDb + profiles: [Michael Byrne, 1939](https://www.imdb.com/name/nm0126250/) and + [Matt Tarses, 1968](https://www.imdb.com/name/nm0850696/). Their other fields + are preserved; current death-year changes are not copied into the older seed. +- Fourteen name-format/diacritic/disambiguator variants are left unchanged. + `nm14177307` and `nm18523349` are missing from the consumed official dataset; + direct profile requests returned 403, so their records and credits are kept. + +For title dates, the loader prefers a valid complete `ld.datePublished`. +Legacy `Release date | Month D, YYYY ...` values are converted only when they +contain a complete, valid date. The migration normalizes 390 existing dates +without supplying new facts. The two year-only values remain unchanged: +`tt0994314` (2008) and `tt33041431` (2027). + +## Reproduction and validation + +After extracting the original asset revision into the checkout: + +```bash +python3 sites/imdb/migrate_seed.py --report /tmp/imdb-migration-first.json +python3 sites/imdb/migrate_seed.py --report /tmp/imdb-migration-second.json +python3 -m unittest discover -s sites/imdb/tests -p test_seed_data.py +``` + +The migration refuses to modify an unexpected source seed. Its transaction +checks the complete logical diff before committing. A completed migration +performs no writes on subsequent runs. Reports contain table/row hashes and +changed field names, not user values or old biographies. + +Verified locally with Python 3.11.3 / SQLite 3.40.1: + +- All six targeted tests pass: canonical identity rejection/import, complete + date parsing and precedence, preserved relationships/state, byte-identical + second migration, and rejection of a modified source. +- 691 person rows change: 689 selected profiles and two birth years. +- 390 title rows change only in `release_date`. +- An independent comparison against the original seed confirms all other + title/person fields and all credits, genres, news, reviews, ratings, users, + watchlists and title/genre relationships are unchanged. +- Second migration: zero changed rows and identical file SHA256. +- Original archive and the checkout's runtime database are unchanged. + +Candidate seed SHA256: +`27558f13a9dd3b003435463ceaad8538e2b6f9fc5095c3bd6831666fecaab5d9`. + +These are source and migration checks. Container reset, browser behavior, +visual comparison and task execution are separate validation steps. The +removed portrait/biography links remain an explicit source-coverage limitation. diff --git a/sites/imdb/migrate_seed.py b/sites/imdb/migrate_seed.py new file mode 100644 index 00000000..cca05140 --- /dev/null +++ b/sites/imdb/migrate_seed.py @@ -0,0 +1,169 @@ +"""Apply the sourced IMDb corrections once, before packaging the HF seed. + +This is an offline asset migration, never a runtime/reset hook. It preserves +identifiers, relationships and user state. Only the original source seed can +be changed; a fully corrected seed is an exact byte-preserving no-op. +""" +import argparse +from collections import Counter +from contextlib import closing +import hashlib +import json +from pathlib import Path +import re +import sqlite3 + +from seed_data import _parse_release_date + +BASE_DIR = Path(__file__).resolve().parent +MANIFEST = BASE_DIR / 'seed_corrections.json' +PERSON_FIELDS = ('name', 'birth_year', 'death_year', 'birth_place', 'bio', + 'primary_profession', 'photo_path', 'known_for_json') + + +def _hash(value): + encoded = json.dumps(value, ensure_ascii=False, separators=(',', ':')).encode() + return hashlib.sha256(encoded).hexdigest() + + +def _snapshot(connection): + """Keep row values in memory; exported reports contain only their hashes.""" + schema = connection.execute( + "SELECT type,name,tbl_name,sql FROM sqlite_master ORDER BY type,name").fetchall() + tables = {} + for (name,) in connection.execute( + "SELECT name FROM sqlite_master WHERE type='table' ORDER BY name"): + quoted = '"' + name.replace('"', '""') + '"' + cursor = connection.execute(f'SELECT * FROM {quoted} ORDER BY rowid') + tables[name] = {'columns': [column[0] for column in cursor.description], + 'rows': cursor.fetchall()} + return {'schema': schema, 'tables': tables} + + +def _person_values(record): + def year(value): + return None if value == '\\N' else int(value) + professions = record['primaryProfession'] + known_for = record['knownForTitles'] + return dict(zip(PERSON_FIELDS, ( + record['primaryName'], year(record['birthYear']), year(record['deathYear']), + '', '', '' if professions == '\\N' else ', '.join( + part.replace('_', ' ').title() for part in professions.split(',')), + '', json.dumps([] if known_for == '\\N' else known_for.split(','))))) + + +def _prepare_updates(connection, manifest): + updates = [] + seen = set() + groups = ((manifest['people'], _person_values), + (manifest['birth_year_corrections'], + lambda row: {'birth_year': int(row['birthYear'])})) + for records, values_for in groups: + for record in records: + nm_id = record['nconst'] + if not re.fullmatch(r'nm\d+', nm_id) or nm_id in seen: + raise ValueError('Invalid or duplicate correction identity') + seen.add(nm_id) + row = connection.execute('SELECT * FROM persons WHERE nm_id=?', (nm_id,)) + columns = [column[0] for column in row.description] + original = row.fetchone() + if original is None: + raise ValueError(f'Correction identity missing from source seed: {nm_id}') + current = dict(zip(columns, original)) + changes = {field: value for field, value in values_for(record).items() + if current[field] != value} + if changes: + updates.append(('persons', current['id'], nm_id, changes)) + for row_id, tt_id, original in connection.execute('SELECT id,tt_id,release_date FROM titles'): + parsed = _parse_release_date(original) + if parsed and parsed != original: + updates.append(('titles', row_id, tt_id, {'release_date': parsed})) + return updates + + +def _verify_logical_diff(before, after, updates): + if before['schema'] != after['schema'] or before['tables'].keys() != after['tables'].keys(): + raise ValueError('Migration changed database schema') + expected = {(table, row_id): (key, values) for table, row_id, key, values in updates} + changes = [] + for table, original in before['tables'].items(): + current = after['tables'][table] + if original['columns'] != current['columns'] or len(original['rows']) != len(current['rows']): + raise ValueError(f'Migration changed row/column structure: {table}') + columns = original['columns'] + for old, new in zip(original['rows'], current['rows']): + if old == new: + continue + row_id = old[columns.index('id')] + key, permitted = expected.pop((table, row_id), (None, {})) + actual = {field: value for field, previous, value in zip(columns, old, new) + if previous != value} + if actual != permitted: + raise ValueError(f'Unexpected field changes in {table} row {row_id}') + changes.append({'table': table, 'row_id': row_id, 'key': key, + 'fields': sorted(actual), 'before_row_sha256': _hash(old), + 'after_row_sha256': _hash(new)}) + if expected: + raise ValueError('Expected updates missing from logical diff') + return changes + + +def migrate_seed(database, manifest_path=MANIFEST): + database = Path(database).resolve() + manifest = json.loads(Path(manifest_path).read_text()) + if manifest.get('schema_version') != 1: + raise ValueError('Unsupported correction manifest schema') + before_bytes = hashlib.sha256(database.read_bytes()).hexdigest() + with closing(sqlite3.connect(database.as_uri() + '?mode=rw', uri=True)) as connection: + before = _snapshot(connection) + updates = _prepare_updates(connection, manifest) + if updates and before_bytes != manifest['source_seed']['sha256']: + raise ValueError('Refusing to change an unexpected source seed') + if updates: + try: + connection.execute('BEGIN IMMEDIATE') + for table, row_id, _, values in updates: + columns = ', '.join(f'{field}=?' for field in values) + connection.execute(f'UPDATE {table} SET {columns} WHERE id=?', + (*values.values(), row_id)) + after = _snapshot(connection) + changes = _verify_logical_diff(before, after, updates) + connection.commit() + except Exception: + connection.rollback() + raise + else: + after, changes = before, [] + return { + 'before_sha256': before_bytes, + 'after_sha256': hashlib.sha256(database.read_bytes()).hexdigest(), + 'manifest_sha256': hashlib.sha256(Path(manifest_path).read_bytes()).hexdigest(), + 'changed_rows': dict(Counter(change['table'] for change in changes)), + 'changed_fields': dict(Counter(f"{change['table']}.{field}" + for change in changes for field in change['fields'])), + 'logical_diff': changes, + 'tables': {table: {'row_count': len(snapshot['rows']), + 'before_sha256': _hash(snapshot), + 'after_sha256': _hash(after['tables'][table])} + for table, snapshot in before['tables'].items()}, + 'protected_tables_unchanged': [table for table in before['tables'] + if table not in ('persons', 'titles')], + } + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument('database', nargs='?', type=Path, + default=BASE_DIR / 'instance_seed' / 'imdb.db') + parser.add_argument('--manifest', type=Path, default=MANIFEST) + parser.add_argument('--report', type=Path) + args = parser.parse_args() + report = migrate_seed(args.database, args.manifest) + if args.report: + args.report.write_text(json.dumps(report, indent=2) + '\n') + print(json.dumps({key: report[key] for key in + ('before_sha256', 'after_sha256', 'changed_rows', 'changed_fields')})) + + +if __name__ == '__main__': + main() diff --git a/sites/imdb/seed_corrections.json b/sites/imdb/seed_corrections.json new file mode 100644 index 00000000..69ac4565 --- /dev/null +++ b/sites/imdb/seed_corrections.json @@ -0,0 +1,736 @@ +{ + "schema_version": 1, + "source_seed": { + "repository": "ChilleD/WebHarbor", + "revision": "51c523d1c02a57caaaea44c76f3f96646d15bcea", + "archive": "imdb.tar.gz", + "archive_sha256": "333800bc9919c6a7f258e8e49cca611929886f6dfe222d02773006b5a5368f75", + "member": "imdb/instance_seed/imdb.db", + "sha256": "f9f1431142d528c3126663a452dc12df0a8cd952f49b0b0be5fb807fd8bb5abf" + }, + "official_source": { + "description_url": "https://data.imdb.com/non-commercial-datasets/", + "url": "https://datasets.imdbws.com/name.basics.tsv.gz", + "retrieved_at": "2026-09-07T17:07:30.738877+00:00", + "last_modified": "Mon, 07 Sep 2026 00:32:01 GMT", + "run_date": "2026-09-06", + "etag": "\"f4f943948657f323e733cd38bac4c4ea-37\"", + "compressed_bytes": 309376069, + "compressed_sha256": "8381884fe8796b09d1f6f6f2871ab6ccdfc7dfbc1a10fada14d45a3f98307aea", + "correction_rows_tsv_sha256": "f056e53001b0d2883692dfe98cd71b1a93daae42c30e9e778a1366e5d97ac595", + "validation": "Full gzip consumed to EOF; CRC and Content-Length validated. URL is mutable; ETag is multipart and is not a content hash." + }, + "scope": { + "profile_collision": 642, + "canonicalization_of_uncertain_alias_or_profile": 47, + "same_identity_birth_year_only": 2, + "policy": "Match exact nconst only. Correct selected profile facts; remove unverifiable biography, birthplace, and portrait links. Preserve format/diacritic variants and source-missing identities. Convert only existing complete release dates to ISO; retain unknown/partial dates." + }, + "birth_year_corrections": [ + { + "nconst": "nm0126250", + "birthYear": "1939", + "source_url": "https://www.imdb.com/name/nm0126250/", + "source_fact": "Born November 7, 1939", + "observed_at": "2026-09-07T17:11:19Z" + }, + { + "nconst": "nm0850696", + "birthYear": "1968", + "source_url": "https://www.imdb.com/name/nm0850696/", + "source_fact": "Born September 21, 1968", + "observed_at": "2026-09-07T17:11:19Z" + } + ], + "people": [ + {"nconst":"nm0000006","primaryName":"Ingrid Bergman","birthYear":"1915","deathYear":"1982","primaryProfession":"actress,producer,soundtrack","knownForTitles":"tt0034583,tt0038109,tt0036855,tt0038787","kind":"profile_collision"}, + {"nconst":"nm0000007","primaryName":"Humphrey Bogart","birthYear":"1899","deathYear":"1957","primaryProfession":"actor,producer,miscellaneous","knownForTitles":"tt0034583,tt0043265,tt0037382,tt0042593","kind":"profile_collision"}, + {"nconst":"nm0000020","primaryName":"Henry Fonda","birthYear":"1905","deathYear":"1982","primaryProfession":"actor,producer,miscellaneous","knownForTitles":"tt0050083,tt0082846,tt0032551,tt0036244","kind":"profile_collision"}, + {"nconst":"nm0000041","primaryName":"Akira Kurosawa","birthYear":"1910","deathYear":"1998","primaryProfession":"writer,director,assistant_director","knownForTitles":"tt0051808,tt0080979,tt0089881,tt0057565","kind":"profile_collision"}, + {"nconst":"nm0000044","primaryName":"Burt Lancaster","birthYear":"1913","deathYear":"1994","primaryProfession":"actor,producer,miscellaneous","knownForTitles":"tt0045793,tt0057091,tt0085859,tt0053793","kind":"profile_collision"}, + {"nconst":"nm0000059","primaryName":"Laurence Olivier","birthYear":"1907","deathYear":"1989","primaryProfession":"actor,producer,director","knownForTitles":"tt0069281,tt0032976,tt0077269,tt0074860","kind":"profile_collision"}, + {"nconst":"nm0000063","primaryName":"Anthony Quinn","birthYear":"1915","deathYear":"2001","primaryProfession":"actor,producer,director","knownForTitles":"tt0057831,tt0056172,tt0049456,tt0036244","kind":"profile_collision"}, + {"nconst":"nm0000071","primaryName":"James Stewart","birthYear":"1908","deathYear":"1997","primaryProfession":"actor,director,producer","knownForTitles":"tt0052357,tt0052561,tt0038650,tt0031679","kind":"profile_collision"}, + {"nconst":"nm0000093","primaryName":"Brad Pitt","birthYear":"1963","deathYear":"\\N","primaryProfession":"producer,actor,executive","knownForTitles":"tt0137523,tt0356910,tt0114746,tt1210166","kind":"profile_collision"}, + {"nconst":"nm0000111","primaryName":"Matthew Broderick","birthYear":"1962","deathYear":"\\N","primaryProfession":"actor,director,producer","knownForTitles":"tt0395251,tt0091042,tt0086567,tt0126886","kind":"profile_collision"}, + {"nconst":"nm0000118","primaryName":"John Carpenter","birthYear":"1948","deathYear":"\\N","primaryProfession":"music_department,writer,composer","knownForTitles":"tt0080749,tt0077651,tt0069945,tt0082340","kind":"profile_collision"}, + {"nconst":"nm0000141","primaryName":"David Duchovny","birthYear":"1960","deathYear":"\\N","primaryProfession":"actor,producer,writer","knownForTitles":"tt0106179,tt0120902,tt0904208,tt0443701","kind":"profile_collision"}, + {"nconst":"nm0000147","primaryName":"Colin Firth","birthYear":"1960","deathYear":"\\N","primaryProfession":"actor,producer,writer","knownForTitles":"tt1315981,tt1504320,tt0243155,tt2802144","kind":"profile_collision"}, + {"nconst":"nm0000150","primaryName":"Michael J. 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missing/malformed URLs.""" + url = (ld or {}).get('url') + match = NM_FROM_URL.search(url) if isinstance(url, str) else None + return match.group(1) if match else None + + +MONTH_NUMBERS = {name: number for number, name in enumerate(( + 'January', 'February', 'March', 'April', 'May', 'June', 'July', + 'August', 'September', 'October', 'November', 'December'), 1)} +RELEASE_DATE_RE = re.compile( + r'^(?:Release date\s*\|\s*)?(' + + '|'.join(MONTH_NUMBERS) + + r')\s+(\d{1,2}),\s+(\d{4})(?=\s|[|(]|$)') + + +def _parse_release_date(value): + """Extract an existing complete date; never invent a missing day/year.""" + text = _u(value) + try: + if re.fullmatch(r'\d{4}-\d{2}-\d{2}', text): + return date.fromisoformat(text).isoformat() + match = RELEASE_DATE_RE.match(text) + if match: + month, day, year = match.groups() + return date(int(year), MONTH_NUMBERS[month], int(day)).isoformat() + except ValueError: + pass + return '' + + +def _release_date_from_scrape(ld, details): + published = _u((ld or {}).get('datePublished')) + if re.fullmatch(r'\d{4}-\d{2}-\d{2}', published): + parsed = _parse_release_date(published) + if parsed: + return parsed + details = details or {} + return (_parse_release_date(details.get('releasedate')) + or _parse_release_date(details.get('releaseDate'))) + + def _normalize_genre(name, name_to_genre): key = (name or '').strip() if not key: @@ -418,6 +461,7 @@ def seed_all(db, Title, Person, Genre, Credit, Review, UserRating, # 3) Persons (load first so credits link cleanly) --------------------- nm_to_person = {} skipped_garbage = 0 + skipped_person_identity = 0 for f in sorted(SCRAPED.glob('name_*.json')): nm_id = f.stem.removeprefix('name_') try: @@ -431,6 +475,11 @@ def seed_all(db, Title, Person, Genre, Credit, Review, UserRating, skipped_garbage += 1 continue ld = d.get('ld') or {} + # A filename is the requested identity, not proof of the page returned. + # Fail closed for absent/malformed canonical URLs as well as redirects. + if _ld_nm_id(ld) != nm_id: + skipped_person_identity += 1 + continue # Prefer h1 (stripped of year + (I)/(II) disambig) over ld.name. name = _strip_year(h1) or _u(ld.get('name')) or '' if not name: @@ -473,7 +522,8 @@ def seed_all(db, Title, Person, Genre, Credit, Review, UserRating, known_for_json=json.dumps(known_for)) db.session.add(p) nm_to_person[nm_id] = p - print(f"[seed] persons loaded={len(nm_to_person)}, garbage_skipped={skipped_garbage}", flush=True) + print(f"[seed] persons loaded={len(nm_to_person)}, garbage_skipped={skipped_garbage}, " + f"identity_skipped={skipped_person_identity}", flush=True) db.session.flush() # 4) Titles + credits -------------------------------------------------- @@ -528,13 +578,7 @@ def seed_all(db, Title, Person, Genre, Credit, Review, UserRating, bo_ww = _find_money(details, 'cumulativeworldwidegross', 'worldwidegross') bo_open = _find_money(details, 'openingweekenddomestic', 'openingweekend') budget = _find_money(details, 'budget') - release_date = '' - if details.get('releasedate'): - release_date = _u(details['releasedate'])[:60] - elif details.get('releaseDate'): - release_date = _u(details['releaseDate'])[:60] - elif ld.get('datePublished'): - release_date = ld['datePublished'] + release_date = _release_date_from_scrape(ld, details) poster_path = _copy_image(f'{tt_id}.jpg', f'{tt_id}.jpg') if (SCRAPED / 'images' / f'{tt_id}.jpg').exists() else '' tagline = _u(d.get('tagline')) diff --git a/sites/imdb/tests/test_seed_data.py b/sites/imdb/tests/test_seed_data.py new file mode 100644 index 00000000..d7311d13 --- /dev/null +++ b/sites/imdb/tests/test_seed_data.py @@ -0,0 +1,142 @@ +import hashlib +import json +from pathlib import Path +import sqlite3 +import sys +import tempfile +from types import SimpleNamespace +import unittest +from unittest.mock import Mock, patch + +sys.path.insert(0, str(Path(__file__).resolve().parents[1])) + +from migrate_seed import migrate_seed +from seed_data import _ld_nm_id, _parse_release_date, _release_date_from_scrape +import seed_data + + +class SourceParsingTests(unittest.TestCase): + def test_seed_rejects_wrong_missing_and_malformed_person_identity(self): + with tempfile.TemporaryDirectory() as directory: + scraped = Path(directory) + for nm_id, url in ( + ('nm1165110', 'https://www.imdb.com/name/nm1165110/'), + ('nm0000245', 'https://www.imdb.com/name/nm1165110/'), + ('nm0000001', ''), + ('nm0000002', 'https://www.imdb.com/name/nm0000002wrong/')): + (scraped / f'name_{nm_id}.json').write_text(json.dumps( + {'h1': 'Chris Hemsworth', 'ld': {'url': url}})) + database = Mock() + database.session.query.return_value.count.return_value = 0 + person = Mock(side_effect=lambda **values: SimpleNamespace(**values, credits=[])) + models = [Mock() for _ in range(8)] + with patch.object(seed_data, 'SCRAPED', scraped), patch('builtins.print'): + seed_data.seed_all(database, models[0], person, *models[1:]) + self.assertEqual(person.call_count, 1) + self.assertEqual(person.call_args.kwargs['nm_id'], 'nm1165110') + + def test_person_canonical_url_is_an_exact_identity(self): + self.assertEqual(_ld_nm_id({'url': 'https://www.imdb.com/name/nm1165110/'}), 'nm1165110') + self.assertNotEqual(_ld_nm_id({'url': 'https://www.imdb.com/name/nm0000245/'}), 'nm1165110') + for url in ('', '/title/tt1165110/', '/name/nm1165110garbage/', 42): + with self.subTest(url=url): + self.assertIsNone(_ld_nm_id({'url': url})) + self.assertIsNone(_ld_nm_id({})) + + def test_complete_dates_only_and_structured_source_wins(self): + self.assertEqual(_parse_release_date('2008-07-18'), '2008-07-18') + self.assertEqual(_parse_release_date('Release date | July 18, 2008 (United States)'), '2008-07-18') + self.assertEqual(_parse_release_date('September 1, 2000 (Italy)'), '2000-09-01') + self.assertEqual(_release_date_from_scrape( + {'datePublished': '2008-07-14'}, {'releasedate': 'July 18, 2008 (United States)'}), '2008-07-14') + self.assertEqual(_release_date_from_scrape( + {'datePublished': '2008-02-30'}, {'releaseDate': 'July 18, 2008'}), '2008-07-18') + for value in ('2008', '2008-07', 'Release date | July 18, 20', + 'Release date | February 30, 2008', '2008-07-180', 'Unknown'): + with self.subTest(value=value): + self.assertEqual(_parse_release_date(value), '') + + +class SeedMigrationTests(unittest.TestCase): + def setUp(self): + self.temp = tempfile.TemporaryDirectory() + self.addCleanup(self.temp.cleanup) + self.db_path = Path(self.temp.name) / 'imdb.db' + with sqlite3.connect(self.db_path) as connection: + connection.executescript(''' + CREATE TABLE persons (id INTEGER PRIMARY KEY, nm_id TEXT UNIQUE, + name TEXT, birth_year INTEGER, death_year INTEGER, + birth_place TEXT, bio TEXT, primary_profession TEXT, + photo_path TEXT, known_for_json TEXT); + CREATE TABLE titles (id INTEGER PRIMARY KEY, tt_id TEXT, + primary_title TEXT, release_date TEXT, rating_avg REAL); + CREATE TABLE credits (id INTEGER PRIMARY KEY, title_id INTEGER, + person_id INTEGER, character TEXT); + CREATE TABLE users (id INTEGER PRIMARY KEY, name TEXT); + CREATE TABLE user_ratings (id INTEGER PRIMARY KEY, user_id INTEGER, + title_id INTEGER, rating INTEGER); + INSERT INTO persons VALUES (1, 'nm1165110', 'Robin Williams', 1951, 2014, + 'unverified place', 'unverified biography', 'Actor', 'nm1165110.jpg', '["tt0000001"]'); + INSERT INTO persons VALUES (2, 'nm0850696', 'Matt Tarses', 1966, NULL, + '', 'retain biography', 'Producer', 'retain.jpg', '[]'); + INSERT INTO persons VALUES (3, 'nm0001855', 'Tom Wilson(LXXXVI)', NULL, NULL, + '', 'retain variant', 'Actor', 'variant.jpg', '[]'); + INSERT INTO titles VALUES (1, 'tt4154796', 'Avengers: Endgame', + 'Release date | April 26, 2019 (United States)', 8.4); + INSERT INTO titles VALUES (2, 'tt0000002', 'Partial source', 'Release date | May 2, 20', 5.0); + INSERT INTO credits VALUES (1, 1, 1, 'Thor'); + INSERT INTO users VALUES (1, 'seed user'); + INSERT INTO user_ratings VALUES (1, 1, 1, 8); + ''') + self.manifest = Path(self.temp.name) / 'corrections.json' + self.manifest.write_text(json.dumps({ + 'schema_version': 1, + 'source_seed': {'sha256': hashlib.sha256(self.db_path.read_bytes()).hexdigest()}, + 'people': [{'nconst': 'nm1165110', 'primaryName': 'Chris Hemsworth', + 'birthYear': '1983', 'deathYear': '\\N', + 'primaryProfession': 'actor,producer,soundtrack', + 'knownForTitles': 'tt4154796,tt0800369', + 'kind': 'profile_collision'}], + 'birth_year_corrections': [{'nconst': 'nm0850696', 'birthYear': '1968'}], + })) + + def rows(self, table): + with sqlite3.connect(self.db_path) as connection: + return connection.execute(f'SELECT * FROM {table} ORDER BY id').fetchall() + + def test_migration_preserves_relationships_and_unrelated_state(self): + protected = {table: self.rows(table) for table in ('credits', 'users', 'user_ratings')} + old_people = self.rows('persons') + old_titles = self.rows('titles') + result = migrate_seed(self.db_path, self.manifest) + for table, rows in protected.items(): + self.assertEqual(self.rows(table), rows) + people = self.rows('persons') + self.assertEqual(people[0], (1, 'nm1165110', 'Chris Hemsworth', 1983, None, + '', '', 'Actor, Producer, Soundtrack', '', + '["tt4154796", "tt0800369"]')) + self.assertEqual(people[1], old_people[1][:3] + (1968,) + old_people[1][4:]) + self.assertEqual(people[2], old_people[2]) + self.assertEqual(self.rows('titles')[0], old_titles[0][:3] + ('2019-04-26',) + old_titles[0][4:]) + self.assertEqual(self.rows('titles')[1], old_titles[1]) + self.assertEqual(result['changed_rows'], {'persons': 2, 'titles': 1}) + self.assertEqual(result['protected_tables_unchanged'], ['credits', 'user_ratings', 'users']) + + def test_second_migration_is_byte_identical(self): + migrate_seed(self.db_path, self.manifest) + before = self.db_path.read_bytes() + result = migrate_seed(self.db_path, self.manifest) + self.assertEqual(result['changed_rows'], {}) + self.assertEqual(self.db_path.read_bytes(), before) + + def test_unexpected_source_is_rejected_without_writes(self): + with sqlite3.connect(self.db_path) as connection: + connection.execute("UPDATE users SET name='different state'") + before = self.db_path.read_bytes() + with self.assertRaisesRegex(ValueError, 'source seed'): + migrate_seed(self.db_path, self.manifest) + self.assertEqual(self.db_path.read_bytes(), before) + + +if __name__ == '__main__': + unittest.main() From 085d5235459a2e44fc4da0c44d84ab7f76c197da Mon Sep 17 00:00:00 2001 From: JackJin <1037461232@qq.com> Date: Tue, 8 Sep 2026 09:55:11 +0800 Subject: [PATCH 03/17] fix(imdb): distinguish title years from regional release dates --- .assets-revision | 2 +- sites/imdb/docs/seed-provenance.md | 47 +++++++++++++++++++---- sites/imdb/migrate_seed.py | 30 ++++++++++++--- sites/imdb/seed_corrections.json | 44 ++++++++++++++++++++- sites/imdb/tests/test_seed_data.py | 61 ++++++++++++++++++++++++++++-- 5 files changed, 165 insertions(+), 19 deletions(-) diff --git a/.assets-revision b/.assets-revision index 06d2404e..3c83fded 100644 --- a/.assets-revision +++ b/.assets-revision @@ -5,4 +5,4 @@ # is a git revision (branch name like `main`, a tag, or a specific commit # sha). Override at runtime with the ASSETS_REVISION env var. repo: ChilleD/WebHarbor -revision: 4d5709e171d7c40fc742727adfa98b04b9023039 +revision: e70f49d8b6d0f32c940688e8e53e7c558f57a788 diff --git a/sites/imdb/docs/seed-provenance.md b/sites/imdb/docs/seed-provenance.md index 1ee96aa7..bcc13e62 100644 --- a/sites/imdb/docs/seed-provenance.md +++ b/sites/imdb/docs/seed-provenance.md @@ -8,8 +8,9 @@ scraped profile. Missing, malformed and mismatching identities are skipped. The existing title canonical-URL check remains in place. The contributor's title catalog, credit relationships, image files and user -state are retained. `migrate_seed.py` is an offline asset migration; it is not -called during app startup or reset. +state are retained, with two sourced title-year corrections described below. +`migrate_seed.py` is an offline asset migration; it is not called during app +startup or reset. ## Sources and scope @@ -61,9 +62,28 @@ contain a complete, valid date. The migration normalizes 390 existing dates without supplying new facts. The two year-only values remain unchanged: `tt0994314` (2008) and `tt33041431` (2027). +Two title years are corrected by exact `tconst`, using the official IMDb title +metadata observed through the search index on September 8, 2026: + +| Title | Previous `year` | Canonical `year` | Preserved regional `release_date` | +|---|---|---|---| +| [Memento](https://www.imdb.com/title/tt0209144/) | 2001 | 2000 | 2001-05-25 | +| [Schindler's List](https://www.imdb.com/title/tt0108052/) | 1994 | 1993 | 1994-02-04 | + +The Schindler's List page separately lists its United States release on +February 4, 1994. A regional release date can have a later year than the +canonical title year. These two corrections change only `titles.year`; the +regional dates and all other fields stay unchanged. The manifest records the +before/after values, source URLs, observation date and source access method. +Each `source_record_sha256` hashes the manifest's canonical JSON source record +(UTF-8, sorted keys, compact separators), not an unavailable full webpage. +No broader title-year correction or rating/gross refresh is included. + ## Reproduction and validation -After extracting the original asset revision into the checkout: +For byte-identical reproduction of the latest candidate, extract the +[previous reviewer asset revision](https://huggingface.co/datasets/ChilleD/WebHarbor/tree/4d5709e171d7c40fc742727adfa98b04b9023039) +into the checkout, then run: ```bash python3 sites/imdb/migrate_seed.py --report /tmp/imdb-migration-first.json @@ -71,6 +91,13 @@ python3 sites/imdb/migrate_seed.py --report /tmp/imdb-migration-second.json python3 -m unittest discover -s sites/imdb/tests -p test_seed_data.py ``` +That input seed SHA256 is +`27558f13a9dd3b003435463ceaad8538e2b6f9fc5095c3bd6831666fecaab5d9`. +The original contributor revision is also a supported input and produces the +same logical database. Its single-transaction history gives different SQLite +file bytes from the previous-candidate path, so those two output hashes are +not claimed to match. + The migration refuses to modify an unexpected source seed. Its transaction checks the complete logical diff before committing. A completed migration performs no writes on subsequent runs. Reports contain table/row hashes and @@ -78,19 +105,23 @@ changed field names, not user values or old biographies. Verified locally with Python 3.11.3 / SQLite 3.40.1: -- All six targeted tests pass: canonical identity rejection/import, complete +- All nine targeted tests pass: canonical identity rejection/import, complete date parsing and precedence, preserved relationships/state, byte-identical - second migration, and rejection of a modified source. + second migration, rejection of a modified source, both supported migration + paths, and rejection of an unexpected title-year value. - 691 person rows change: 689 selected profiles and two birth years. -- 390 title rows change only in `release_date`. +- From the original seed, 390 title rows normalize `release_date`; two of those + rows also correct `year`. From the previous reviewer candidate, exactly two + `titles.year` values change and the complete remaining database is identical. - An independent comparison against the original seed confirms all other title/person fields and all credits, genres, news, reviews, ratings, users, watchlists and title/genre relationships are unchanged. -- Second migration: zero changed rows and identical file SHA256. +- Second migration: zero changed rows and identical file SHA256. Repeating + from the same previous-candidate input produces identical output bytes. - Original archive and the checkout's runtime database are unchanged. Candidate seed SHA256: -`27558f13a9dd3b003435463ceaad8538e2b6f9fc5095c3bd6831666fecaab5d9`. +`69f849b9c61fb71349958fdbedc301162881e3a171eb65098c2e5f6623b82471`. These are source and migration checks. Container reset, browser behavior, visual comparison and task execution are separate validation steps. The diff --git a/sites/imdb/migrate_seed.py b/sites/imdb/migrate_seed.py index cca05140..7a058203 100644 --- a/sites/imdb/migrate_seed.py +++ b/sites/imdb/migrate_seed.py @@ -1,8 +1,8 @@ """Apply the sourced IMDb corrections once, before packaging the HF seed. This is an offline asset migration, never a runtime/reset hook. It preserves -identifiers, relationships and user state. Only the original source seed can -be changed; a fully corrected seed is an exact byte-preserving no-op. +identifiers, relationships and user state. Only explicitly hashed source seeds +can be changed; a fully corrected seed is an exact byte-preserving no-op. """ import argparse from collections import Counter @@ -74,10 +74,28 @@ def _prepare_updates(connection, manifest): if current[field] != value} if changes: updates.append(('persons', current['id'], nm_id, changes)) - for row_id, tt_id, original in connection.execute('SELECT id,tt_id,release_date FROM titles'): + title_years = {} + for record in manifest.get('title_year_corrections', []): + tt_id = record['tconst'] + if (not re.fullmatch(r'tt\d+', tt_id) or tt_id in title_years + or type(record['before']) is not int or type(record['after']) is not int): + raise ValueError('Invalid or duplicate title-year correction') + title_years[tt_id] = record + for row_id, tt_id, original, year in connection.execute('SELECT id,tt_id,release_date,year FROM titles'): + changes = {} parsed = _parse_release_date(original) if parsed and parsed != original: - updates.append(('titles', row_id, tt_id, {'release_date': parsed})) + changes['release_date'] = parsed + correction = title_years.pop(tt_id, None) + if correction: + if year not in (correction['before'], correction['after']): + raise ValueError(f'Unexpected title year for correction: {tt_id}') + if year != correction['after']: + changes['year'] = correction['after'] + if changes: + updates.append(('titles', row_id, tt_id, changes)) + if title_years: + raise ValueError('Correction title missing from source seed') return updates @@ -117,7 +135,9 @@ def migrate_seed(database, manifest_path=MANIFEST): with closing(sqlite3.connect(database.as_uri() + '?mode=rw', uri=True)) as connection: before = _snapshot(connection) updates = _prepare_updates(connection, manifest) - if updates and before_bytes != manifest['source_seed']['sha256']: + accepted_sources = {manifest['source_seed']['sha256']} + accepted_sources.update(source['sha256'] for source in manifest.get('additional_source_seeds', [])) + if updates and before_bytes not in accepted_sources: raise ValueError('Refusing to change an unexpected source seed') if updates: try: diff --git a/sites/imdb/seed_corrections.json b/sites/imdb/seed_corrections.json index 69ac4565..2296fa97 100644 --- a/sites/imdb/seed_corrections.json +++ b/sites/imdb/seed_corrections.json @@ -8,6 +8,47 @@ "member": "imdb/instance_seed/imdb.db", "sha256": "f9f1431142d528c3126663a452dc12df0a8cd952f49b0b0be5fb807fd8bb5abf" }, + "additional_source_seeds": [ + { + "repository": "ChilleD/WebHarbor", + "revision": "4d5709e171d7c40fc742727adfa98b04b9023039", + "archive": "imdb.tar.gz", + "archive_sha256": "80fbfed63f66312e2a0c853972d17652c4ada8b2790cda8c4d7286ee667cb9b2", + "member": "imdb/instance_seed/imdb.db", + "sha256": "27558f13a9dd3b003435463ceaad8538e2b6f9fc5095c3bd6831666fecaab5d9", + "description": "Previously reviewed profile/date correction candidate; only two title.year changes remain." + } + ], + "title_year_corrections": [ + { + "tconst": "tt0209144", + "title": "Memento", + "before": 2001, + "after": 2000, + "preserved_release_date": "2001-05-25", + "source": { + "url": "https://www.imdb.com/title/tt0209144/", + "observed_on": "2026-09-08", + "access": "official IMDb title search index; not a direct page screenshot", + "fact": "Memento (2000)" + }, + "source_record_sha256": "c3e03479dc79666e3072f9277fcdb1a99c38b98a61657baef7ca02f715f5e984" + }, + { + "tconst": "tt0108052", + "title": "Schindler's List", + "before": 1994, + "after": 1993, + "preserved_release_date": "1994-02-04", + "source": { + "url": "https://www.imdb.com/title/tt0108052/", + "observed_on": "2026-09-08", + "access": "official IMDb title search index; not a direct page screenshot", + "fact": "Schindler's List (1993); United States release February 4, 1994" + }, + "source_record_sha256": "13e7607b15a0900d449fa60d03d4d3ee70838f3bc1091ad835689fa6c048c17c" + } + ], "official_source": { "description_url": "https://data.imdb.com/non-commercial-datasets/", "url": "https://datasets.imdbws.com/name.basics.tsv.gz", @@ -24,7 +65,8 @@ "profile_collision": 642, "canonicalization_of_uncertain_alias_or_profile": 47, "same_identity_birth_year_only": 2, - "policy": "Match exact nconst only. Correct selected profile facts; remove unverifiable biography, birthplace, and portrait links. Preserve format/diacritic variants and source-missing identities. Convert only existing complete release dates to ISO; retain unknown/partial dates." + "exact_title_canonical_year_only": 2, + "policy": "Match exact nconst only. Correct selected profile facts; remove unverifiable biography, birthplace, and portrait links. Preserve format/diacritic variants and source-missing identities. Convert only existing complete release dates to ISO; retain unknown/partial dates. Correct the two explicitly sourced canonical title years while preserving regional release dates." }, "birth_year_corrections": [ { diff --git a/sites/imdb/tests/test_seed_data.py b/sites/imdb/tests/test_seed_data.py index d7311d13..55f162b0 100644 --- a/sites/imdb/tests/test_seed_data.py +++ b/sites/imdb/tests/test_seed_data.py @@ -69,7 +69,7 @@ def setUp(self): birth_place TEXT, bio TEXT, primary_profession TEXT, photo_path TEXT, known_for_json TEXT); CREATE TABLE titles (id INTEGER PRIMARY KEY, tt_id TEXT, - primary_title TEXT, release_date TEXT, rating_avg REAL); + primary_title TEXT, release_date TEXT, rating_avg REAL, year INTEGER); CREATE TABLE credits (id INTEGER PRIMARY KEY, title_id INTEGER, person_id INTEGER, character TEXT); CREATE TABLE users (id INTEGER PRIMARY KEY, name TEXT); @@ -82,8 +82,10 @@ def setUp(self): INSERT INTO persons VALUES (3, 'nm0001855', 'Tom Wilson(LXXXVI)', NULL, NULL, '', 'retain variant', 'Actor', 'variant.jpg', '[]'); INSERT INTO titles VALUES (1, 'tt4154796', 'Avengers: Endgame', - 'Release date | April 26, 2019 (United States)', 8.4); - INSERT INTO titles VALUES (2, 'tt0000002', 'Partial source', 'Release date | May 2, 20', 5.0); + 'Release date | April 26, 2019 (United States)', 8.4, 2019); + INSERT INTO titles VALUES (2, 'tt0000002', 'Partial source', 'Release date | May 2, 20', 5.0, 2020); + INSERT INTO titles VALUES (3, 'tt0209144', 'Memento', 'May 25, 2001 (United States)', 8.4, 2001); + INSERT INTO titles VALUES (4, 'tt0108052', 'Schindler''s List', 'February 4, 1994 (United States)', 9.0, 1994); INSERT INTO credits VALUES (1, 1, 1, 'Thor'); INSERT INTO users VALUES (1, 'seed user'); INSERT INTO user_ratings VALUES (1, 1, 1, 8); @@ -119,7 +121,7 @@ def test_migration_preserves_relationships_and_unrelated_state(self): self.assertEqual(people[2], old_people[2]) self.assertEqual(self.rows('titles')[0], old_titles[0][:3] + ('2019-04-26',) + old_titles[0][4:]) self.assertEqual(self.rows('titles')[1], old_titles[1]) - self.assertEqual(result['changed_rows'], {'persons': 2, 'titles': 1}) + self.assertEqual(result['changed_rows'], {'persons': 2, 'titles': 3}) self.assertEqual(result['protected_tables_unchanged'], ['credits', 'user_ratings', 'users']) def test_second_migration_is_byte_identical(self): @@ -137,6 +139,57 @@ def test_unexpected_source_is_rejected_without_writes(self): migrate_seed(self.db_path, self.manifest) self.assertEqual(self.db_path.read_bytes(), before) + def add_title_corrections(self, include_current_source=False): + manifest = json.loads(self.manifest.read_text()) + manifest['title_year_corrections'] = [ + {'tconst': 'tt0209144', 'before': 2001, 'after': 2000}, + {'tconst': 'tt0108052', 'before': 1994, 'after': 1993}, + ] + if include_current_source: + manifest['additional_source_seeds'] = [ + {'sha256': hashlib.sha256(self.db_path.read_bytes()).hexdigest()}] + self.manifest.write_text(json.dumps(manifest)) + + def test_original_source_combines_date_and_canonical_year_corrections(self): + self.add_title_corrections() + result = migrate_seed(self.db_path, self.manifest) + rows = self.rows('titles') + self.assertEqual(rows[2][3:], ('2001-05-25', 8.4, 2000)) + self.assertEqual(rows[3][3:], ('1994-02-04', 9.0, 1993)) + title_changes = {item['key']: item['fields'] for item in result['logical_diff'] + if item['table'] == 'titles'} + for identity in ('tt0209144', 'tt0108052'): + self.assertEqual(title_changes[identity], ['release_date', 'year']) + before = self.db_path.read_bytes() + self.assertEqual(migrate_seed(self.db_path, self.manifest)['changed_rows'], {}) + self.assertEqual(self.db_path.read_bytes(), before) + + def test_previous_candidate_changes_only_two_year_fields(self): + migrate_seed(self.db_path, self.manifest) + before = {table: self.rows(table) for table in + ('persons', 'titles', 'credits', 'users', 'user_ratings')} + self.add_title_corrections(include_current_source=True) + result = migrate_seed(self.db_path, self.manifest) + self.assertEqual(result['changed_rows'], {'titles': 2}) + self.assertEqual(result['changed_fields'], {'titles.year': 2}) + for table, rows in before.items(): + expected = [row[:-1] + ({3: 2000, 4: 1993}.get(row[0], row[-1]),) + for row in rows] if table == 'titles' else rows + self.assertEqual(self.rows(table), expected) + first = self.db_path.read_bytes() + self.assertEqual(migrate_seed(self.db_path, self.manifest)['changed_rows'], {}) + self.assertEqual(self.db_path.read_bytes(), first) + + def test_unexpected_title_year_is_rejected_without_writes(self): + migrate_seed(self.db_path, self.manifest) + with sqlite3.connect(self.db_path) as connection: + connection.execute("UPDATE titles SET year=2002 WHERE tt_id='tt0209144'") + self.add_title_corrections(include_current_source=True) + before = self.db_path.read_bytes() + with self.assertRaisesRegex(ValueError, 'Unexpected title year'): + migrate_seed(self.db_path, self.manifest) + self.assertEqual(self.db_path.read_bytes(), before) + if __name__ == '__main__': unittest.main() From 50bcce503637522d15bdafa533381204750f415f Mon Sep 17 00:00:00 2001 From: JackJin <1037461232@qq.com> Date: Tue, 8 Sep 2026 09:55:11 +0800 Subject: [PATCH 04/17] fix(imdb): repair interactive flows and task verification --- sites/imdb/app.py | 72 +- sites/imdb/static/css/style.css | 158 +++++ sites/imdb/tasks.jsonl | 31 +- sites/imdb/templates/account.html | 5 +- sites/imdb/templates/advanced_search.html | 2 +- sites/imdb/templates/base.html | 26 +- sites/imdb/templates/chart.html | 57 +- sites/imdb/templates/index.html | 18 +- sites/imdb/templates/login.html | 1 + sites/imdb/templates/register.html | 1 + sites/imdb/templates/title_detail.html | 20 +- sites/imdb/templates/title_write_review.html | 1 + sites/imdb/templates/watchlist.html | 3 +- sites/imdb/tests/test_answer_checks.py | 65 ++ sites/imdb/tests/test_app.py | 91 +++ sites/imdb/tests/test_boundary.py | 317 +++++++++ sites/imdb/tests/test_read_tasks.py | 560 ++++++++++++++++ sites/imdb/tests/test_state_tasks.py | 587 ++++++++++++++++ sites/imdb/tests/test_verify_entry.py | 67 ++ sites/imdb/tests/test_verify_lib.py | 285 ++++++++ sites/imdb/verify/README.md | 34 + sites/imdb/verify/answer_checks.py | 178 +++++ sites/imdb/verify/read_tasks.py | 666 +++++++++++++++++++ sites/imdb/verify/state_tasks.py | 402 +++++++++++ sites/imdb/verify/verify_0.py | 6 + sites/imdb/verify/verify_10.py | 6 + sites/imdb/verify/verify_12.py | 6 + sites/imdb/verify/verify_14.py | 6 + sites/imdb/verify/verify_15.py | 6 + sites/imdb/verify/verify_16.py | 6 + sites/imdb/verify/verify_17.py | 6 + sites/imdb/verify/verify_2.py | 6 + sites/imdb/verify/verify_3.py | 6 + sites/imdb/verify/verify_4.py | 6 + sites/imdb/verify/verify_7.py | 6 + sites/imdb/verify/verify_8.py | 6 + sites/imdb/verify/verify_9.py | 6 + sites/imdb/verify/verify_lib.py | 301 +++++++++ sites/imdb/verify/verify_main.py | 36 + 39 files changed, 3996 insertions(+), 66 deletions(-) create mode 100644 sites/imdb/tests/test_answer_checks.py create mode 100644 sites/imdb/tests/test_app.py create mode 100644 sites/imdb/tests/test_boundary.py create mode 100644 sites/imdb/tests/test_read_tasks.py create mode 100644 sites/imdb/tests/test_state_tasks.py create mode 100644 sites/imdb/tests/test_verify_entry.py create mode 100644 sites/imdb/tests/test_verify_lib.py create mode 100644 sites/imdb/verify/README.md create mode 100644 sites/imdb/verify/answer_checks.py create mode 100644 sites/imdb/verify/read_tasks.py create mode 100644 sites/imdb/verify/state_tasks.py create mode 100644 sites/imdb/verify/verify_0.py create mode 100644 sites/imdb/verify/verify_10.py create mode 100644 sites/imdb/verify/verify_12.py create mode 100644 sites/imdb/verify/verify_14.py create mode 100644 sites/imdb/verify/verify_15.py create mode 100644 sites/imdb/verify/verify_16.py create mode 100644 sites/imdb/verify/verify_17.py create mode 100644 sites/imdb/verify/verify_2.py create mode 100644 sites/imdb/verify/verify_3.py create mode 100644 sites/imdb/verify/verify_4.py create mode 100644 sites/imdb/verify/verify_7.py create mode 100644 sites/imdb/verify/verify_8.py create mode 100644 sites/imdb/verify/verify_9.py create mode 100644 sites/imdb/verify/verify_lib.py create mode 100644 sites/imdb/verify/verify_main.py diff --git a/sites/imdb/app.py b/sites/imdb/app.py index 47424414..75496969 100644 --- a/sites/imdb/app.py +++ b/sites/imdb/app.py @@ -12,10 +12,13 @@ import json import re from datetime import datetime +from urllib.parse import unquote, urlsplit, urlunsplit from flask import (Flask, render_template, request, redirect, url_for, flash, abort, jsonify) from flask_sqlalchemy import SQLAlchemy +from flask_wtf.csrf import CSRFProtect +from email_validator import EmailNotValidError, validate_email from flask_login import (LoginManager, UserMixin, login_user, logout_user, login_required, current_user) from werkzeug.security import generate_password_hash, check_password_hash @@ -33,6 +36,7 @@ os.makedirs(os.path.join(BASE_DIR, 'instance'), exist_ok=True) db = SQLAlchemy(app) +csrf = CSRFProtect(app) login_manager = LoginManager(app) login_manager.login_view = 'login' login_manager.login_message = 'Please sign in to use this feature.' @@ -420,9 +424,16 @@ def title_write_review(tt_id): if not headline or not body: flash('Headline and body are required.', 'error') return render_template('title_write_review.html', title=t) + try: + rating = int(rating) if rating else None + except ValueError: + rating = 0 + if rating is not None and not 1 <= rating <= 10: + flash('Rating must be a whole number from 1 to 10.', 'error') + return render_template('title_write_review.html', title=t) r = Review(title_id=t.id, user_id=current_user.id, headline=headline[:160], body=body, - rating=int(rating) if rating else None) + rating=rating) db.session.add(r) db.session.commit() flash('Review posted.', 'success') @@ -465,7 +476,37 @@ def title_watchlist_toggle(tt_id): db.session.add(WatchlistItem(user_id=current_user.id, title_id=t.id)) flash('Added to Watchlist.', 'success') db.session.commit() - return redirect(request.referrer or url_for('title_detail', tt_id=t.tt_id)) + return redirect(_same_origin_return(url_for('title_detail', tt_id=t.tt_id))) + + +def _same_origin_return(fallback): + """Return only a same-origin path/query, never an authority or credentials.""" + referrer = request.referrer + if not referrer: + return fallback + decoded = unquote(referrer) + if '\\' in decoded or any(ord(char) < 32 or ord(char) == 127 for char in decoded): + return fallback + try: + target = urlsplit(referrer) + current = urlsplit(request.host_url) + + def origin(parts): + if parts.scheme not in ('http', 'https') or not parts.hostname: + return None + if parts.username is not None or parts.password is not None: + return None + port = parts.port + return parts.scheme, parts.hostname, port if port is not None else (443 if parts.scheme == 'https' else 80) + + if origin(target) is None or origin(target) != origin(current): + return fallback + except ValueError: + return fallback + path = target.path or '/' + if not path.startswith('/') or unquote(path).startswith('//'): + return fallback + return urlunsplit(('', '', path, target.query, '')) @app.route('/name/') @@ -504,8 +545,8 @@ def advanced_title_search(): query = Title.query selected_genres = q.getlist('genre') title_type = q.get('title_type', '') - year_from = q.get('year_from', type=int) - year_to = q.get('year_to', type=int) + year_from = _search_year(q.get('year_from')) + year_to = _search_year(q.get('year_to')) rating_min = q.get('rating_min', type=float) sort = q.get('sort', 'popularity') if title_type: @@ -542,6 +583,18 @@ def advanced_title_search(): rating_min=rating_min, sort=sort) +def _search_year(raw): + if raw is None or not raw.strip(): + return None + try: + year = int(raw) + except ValueError: + abort(400, description='Search year must be a whole number from 1 to 9999.') + if not 1 <= year <= 9999: + abort(400, description='Search year must be a whole number from 1 to 9999.') + return year + + @app.route('/chart/top') def chart_top(): titles = (Title.query @@ -585,9 +638,9 @@ def chart_boxoffice(): .order_by(desc(Title.box_office_us)) .limit(50).all()) return render_template('chart.html', titles=titles, - chart_name='Top Box Office (US)', + chart_name='Domestic box office', chart_slug='boxoffice', - description='Highest US domestic gross.') + description='Titles in this catalog, ranked by cumulative US & Canada gross.') @app.route('/genre/') @@ -639,6 +692,11 @@ def register(): if not email or not name or len(pw) < 6: flash('Email, name and a 6+ character password are required.', 'error') return render_template('register.html') + try: + validate_email(email, check_deliverability=False) + except EmailNotValidError: + flash('Enter a valid email address.', 'error') + return render_template('register.html') if User.query.filter_by(email=email).first(): flash('Account with that email already exists.', 'error') return render_template('register.html') @@ -669,7 +727,7 @@ def login(): return render_template('login.html') -@app.route('/logout') +@app.route('/logout', methods=['POST']) @login_required def logout(): logout_user() diff --git a/sites/imdb/static/css/style.css b/sites/imdb/static/css/style.css index fcd7a7bd..05ce9c06 100644 --- a/sites/imdb/static/css/style.css +++ b/sites/imdb/static/css/style.css @@ -234,3 +234,161 @@ h3 { font-size: 16px; margin: 16px 0 6px; } padding: 18px 0; font-size: 12px; } .footer a { color: var(--imdb-yellow); } + +/* IMDb navigation and shared layout. Keep all media local to the catalog. */ +body { font-family: Roboto, Helvetica, Arial, sans-serif; line-height: 1.5; } +.container { max-width: 1280px; padding-left: 24px; padding-right: 24px; } +main.container { padding-top: 32px; padding-bottom: 60px; } +.topbar { padding: 0; } +.topbar .nav { min-height: 56px; gap: 16px; padding-left: 12px; padding-right: 12px; } +.brand { flex: 0 0 64px; height: 32px; padding: 0 4px; text-align: center; font-family: Impact, 'Arial Narrow', sans-serif; font-size: 25px; line-height: 32px; letter-spacing: -1px; } +.primary-nav { flex: none; } +.primary-nav .menu { padding: 0; } +.menu summary { list-style: none; padding: 8px; border-radius: 4px; font-size: 14px; font-weight: 600; white-space: nowrap; cursor: pointer; } +.menu summary::-webkit-details-marker { display: none; } +.menu summary span { margin-right: 4px; font-size: 18px; } +.menu summary:hover, .menu[open] summary { background: #333; } +.primary-nav .dropdown { display: none; background: #1f1f1f; border-color: #444; box-shadow: 0 8px 20px #0006; border-radius: 4px; } +.primary-nav .menu:hover .dropdown, .primary-nav .menu:focus-within .dropdown { display: none; } +.primary-nav .menu[open] .dropdown { display: block; } +.primary-nav .dropdown a { color: #fff; padding: 10px 16px; } +.primary-nav .dropdown a:hover { background: #333; } +.search { max-width: none; min-width: 0; height: 32px; } +.search select { max-width: 90px; border-right: 1px solid #bbb; background: white; padding: 4px 8px; } +.search input { min-width: 0; padding: 4px 8px; background: white; } +.search button { padding: 3px 10px; background: white; color: #666; } +.search button svg { display: block; } +.user-area { align-items: center; gap: 18px; flex: none; font-size: 14px; white-space: nowrap; } +.user-area .nav-watchlist { border-left: 2px solid #444; padding-left: 18px; } +a:focus-visible, button:focus-visible, summary:focus-visible { outline: 2px solid #5799ef; outline-offset: 3px; } +h1 { font-size: 36px; font-weight: 400; line-height: 1.15; } +h2 { font-size: 22px; line-height: 1.2; font-weight: 600; border-bottom: 0; border-left: 4px solid var(--imdb-yellow); padding: 0 0 0 10px; } +.row-head h2 { border-bottom: 0; } +.row-head { gap: 16px; } +.eyebrow { font-size: 12px; font-weight: 700; letter-spacing: 2px; text-transform: uppercase; } +.card-grid { gap: 16px; } +.card { padding: 0 0 16px; overflow: hidden; border-radius: 8px; } +.card .poster { display: block; border-radius: 0; margin-bottom: 12px; } +.card-title, .card-meta { padding: 0 12px; } +.card-title { font-size: 16px; font-weight: 400; } +.card-meta { font-size: 14px; } + +/* The offline home preserves the available catalog; it does not invent trailers. */ +.home-page { --imdb-bg: #000; --imdb-fg: #fff; --imdb-fg-muted: #aaa; --imdb-panel: #1a1a1a; --imdb-border: #333; --imdb-link: #5799ef; } +.home-page .hero { padding-top: 12px; } +.home-page .hero h1 { font-size: 28px; font-weight: 500; color: var(--imdb-yellow); } +.home-page .hero .lede { margin-top: 8px; } +.home-page .card-grid { display: grid; grid-auto-flow: column; grid-auto-columns: calc((100% - 80px) / 6); grid-template-columns: none; overflow-x: auto; padding-bottom: 12px; scroll-snap-type: x proximity; } +.home-page .card { scroll-snap-align: start; } +.home-page .row { margin-top: 32px; } +.home-page .row-head h2 { margin-top: 12px; } +.watchlist-prompt { margin-top: 36px; } +.watchlist-prompt p { text-align: center; margin: 32px 0 18px; } +.watchlist-prompt .btn { display: block; width: max-content; margin: 0 auto 48px; border-radius: 24px; padding: 8px 30px; background: #1a1a1a; color: #5799ef; } + +/* Poster list mirrors the chart's visual hierarchy without exposing detail-only task facts. */ +.chart-head { padding-top: 16px; } +.chart-head .muted { margin-top: 8px; } +.chart-layout { display: grid; grid-template-columns: minmax(0, 2.15fr) minmax(230px, 1fr); gap: 48px; } +.chart-count { margin: 22px 0; } +.chart-list { list-style: none; padding: 0; margin: 0; } +.chart-item { min-height: 118px; display: flex; align-items: center; gap: 12px; padding: 8px; border-radius: 12px; } +.chart-item:nth-child(odd) { background: #f8f8f8; } +.chart-poster-link { flex: 0 0 72px; } +.chart-poster { display: block; width: 72px; height: 106px; object-fit: cover; border-radius: 8px; } +.chart-item-content { flex: 1; min-width: 0; } +.chart-rank { display: inline-block; background: #3864b7; border-radius: 3px; padding: 0 10px; color: white; font-size: 14px; font-weight: 700; } +.chart-title { display: block; border: 0; padding: 0; margin: 4px 0; font-size: 16px; line-height: 1.3; } +.chart-title a { color: #222; } +.chart-meta, .chart-rating, .chart-gross { font-size: 14px; } +.chart-meta { color: #666; } +.chart-watchlist { flex: none; } +.chart-explore h2 { display: block; margin-top: 24px; } +.chart-explore h3 { font-size: 22px; margin-top: 36px; } +.chart-explore > a { display: flex; justify-content: space-between; gap: 8px; padding: 24px 16px; margin-top: 8px; border: 1px solid #ddd; border-radius: 12px; color: #222; } + +/* Title overview uses the existing poster and synopsis, with the source's dark header. */ +.title-overview { background: #1f1f1f; color: #fff; margin: -32px -24px 24px; padding: 16px 24px 28px; } +.title-jumps { display: flex; justify-content: flex-end; gap: 16px; font-size: 14px; margin-bottom: 16px; } +.title-jumps a { color: #fff; } +.title-detail .title-head { align-items: flex-start; margin-bottom: 20px; } +.title-head h1 { font-size: 48px; font-weight: 300; } +.title-overview .title-sub, .title-overview .rating-label, .title-overview .rating-votes, .title-overview .small, .title-overview .tagline { color: #bbb; } +.title-overview .pill { color: #fff; border-color: #777; font-size: 14px; padding: 3px 12px; } +.title-overview .rating-label { font-size: 12px; letter-spacing: 1.5px; } +.title-overview-body { display: grid; grid-template-columns: minmax(160px, 280px) minmax(0, 1fr); gap: 24px; } +.title-poster { float: none; width: 100%; max-width: 280px; border-radius: 8px; margin: 0; } +.title-synopsis { max-width: 700px; } +.title-synopsis .plot { margin-top: 0; } +.title-synopsis .plot-full { color: #fff; } +.title-synopsis .plot h2 { margin-top: 16px; } +.title-overview .rank-badge, .title-overview .popularity-badge { background: transparent; color: #ccc; padding: 0; } +.cast-grid { grid-template-columns: repeat(2, minmax(0, 1fr)); gap: 24px; } +.cast-card { display: flow-root; padding: 8px 0; background: transparent; min-height: 84px; } +.cast-photo { width: 80px; height: 80px; border-radius: 50%; margin-right: 16px; } +.cast-card .character { font-size: 14px; margin-top: 4px; } +.cast-card a { font-weight: 600; color: #222; } +.metadata { grid-template-columns: minmax(170px, 32%) 1fr; } +.metadata dt, .metadata dd { border-bottom: 1px solid #eee; padding: 8px 0; } +.user-actions { display: flex; flex-wrap: wrap; gap: 12px; align-items: center; } +.user-actions form { margin: 0; } +.filters input[type=checkbox], .filters input[type=radio] { width: auto; } +.filters fieldset { min-width: 0; } +.review-card { border-left: 0; border: 1px solid #ddd; border-radius: 12px; background: #fff; padding: 20px; } +.footer { clear: both; text-align: center; background: #000; color: #aaa; padding: 40px 0; } +.footer-links { display: flex; flex-wrap: wrap; justify-content: center; gap: 16px 28px; margin-bottom: 28px; font-size: 14px; } +.footer-links a { color: #fff; } + +@media (max-width: 900px) { + .topbar .nav { flex-wrap: wrap; gap: 10px; padding-top: 12px; padding-bottom: 12px; } + .primary-nav { order: -1; } + .user-area { margin-left: auto; } + .search { order: 3; flex-basis: 100%; } + .chart-layout { grid-template-columns: minmax(0, 1fr); } + .chart-explore { border-top: 1px solid #ddd; } + .home-page .card-grid { grid-auto-columns: calc((100% - 48px) / 4); } + .title-head h1 { font-size: 36px; } + .title-overview-body { grid-template-columns: 200px minmax(0, 1fr); } +} +@media (max-width: 600px) { + .container { padding-left: 16px; padding-right: 16px; } + main.container { padding-top: 24px; } + .topbar .nav { gap: 6px; } + .menu summary { font-size: 0; padding-left: 4px; } + .menu summary span { font-size: 21px; margin: 0; } + .user-area { gap: 12px; font-size: 13px; } + .user-area .nav-watchlist { display: none; } + h1 { font-size: 30px; } + .row-head { align-items: baseline; } + .row-head h2 { font-size: 20px; } + .see-all { font-size: 12px; } + .home-page .card-grid { grid-auto-columns: 155px; } + .card-grid { grid-template-columns: repeat(2, minmax(0, 1fr)); } + .chart-head { padding-top: 4px; } + .chart-item { gap: 10px; flex-wrap: wrap; } + .chart-watchlist { margin-left: 82px; } + .title-overview { margin: -24px -16px 24px; padding: 16px; } + .title-jumps { justify-content: flex-start; gap: 12px; flex-wrap: wrap; font-size: 12px; } + .title-detail .title-head { display: block; } + .title-head h1 { font-size: 32px; } + .title-head-right { margin-top: 16px; display: flex; align-items: center; gap: 12px; flex-wrap: wrap; } + .title-head-right .rating-box { text-align: left; } + .title-overview-body { grid-template-columns: 112px minmax(0, 1fr); gap: 16px; } + .title-synopsis { font-size: 14px; } + .title-synopsis .plot h2 { font-size: 18px; margin-top: 0; } + .tagline { display: none; } + .cast-grid { grid-template-columns: 1fr; gap: 12px; } + .metadata { grid-template-columns: minmax(110px, 44%) 1fr; gap: 0 12px; font-size: 14px; } + .metadata dd { overflow-wrap: anywhere; } + .filters { grid-template-columns: minmax(0, 1fr); } + .review-card header { gap: 12px; } + .review-rating { flex: none; } + .chart-table, .credits-table { font-size: 13px; } + .chart-table th, .chart-table td, .credits-table td { padding: 8px 4px; overflow-wrap: anywhere; } + .person-photo { width: 100px; } + .form { width: 100%; } +} + +.logout-form { margin: 0; } +.logout-form button { font: inherit; border: 0; padding: 0; background: transparent; color: #fff; cursor: pointer; } +.logout-form button:hover { color: var(--imdb-yellow); } diff --git a/sites/imdb/tasks.jsonl b/sites/imdb/tasks.jsonl index 7ae9a5dc..c0c2a0be 100644 --- a/sites/imdb/tasks.jsonl +++ b/sites/imdb/tasks.jsonl @@ -1,18 +1,13 @@ -{"web_name": "IMDb", "id": "IMDb--0", "ques": "Open the IMDb Top 250 movies chart. Which film is ranked #1, and what is its IMDb rating?", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} -{"web_name": "IMDb", "id": "IMDb--1", "ques": "On the IMDb Top 250 chart, identify the third-ranked movie and its release year.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} -{"web_name": "IMDb", "id": "IMDb--2", "ques": "Open the Top Box Office chart on IMDb. Pick the movie ranked first in that chart and report its production budget (visible only on the title's detail page).", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} -{"web_name": "IMDb", "id": "IMDb--3", "ques": "Visit the IMDb page for The Shawshank Redemption (1994). What is its runtime in minutes and its MPAA rating?", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} -{"web_name": "IMDb", "id": "IMDb--4", "ques": "On IMDb, open The Godfather (1972). Who directed it, and what was the film's worldwide gross?", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} -{"web_name": "IMDb", "id": "IMDb--5", "ques": "Visit The Dark Knight (2008) reviews page on IMDb sorted by most helpful. Report the headline and author of the top featured review.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} -{"web_name": "IMDb", "id": "IMDb--6", "ques": "Search IMDb for the name 'Christopher Nolan'. Open his profile and report his professional roles as listed under his name.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} -{"web_name": "IMDb", "id": "IMDb--7", "ques": "Find Christopher Nolan's filmography on IMDb. Among the movies he directed in the database, identify the one with the highest IMDb rating and report its title, release year, and IMDb rating.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} -{"web_name": "IMDb", "id": "IMDb--8", "ques": "Open the IMDb page for The Dark Knight (2008). Who is billed first in the cast, and what character do they play?", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} -{"web_name": "IMDb", "id": "IMDb--9", "ques": "Use IMDb's advanced title search to find Drama movies with an IMDb rating of at least 8.5, sorted by rating. Report the top three titles.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} -{"web_name": "IMDb", "id": "IMDb--10", "ques": "Use IMDb's advanced title search to find Crime movies released between 1990 and 1999 with IMDb rating of at least 8.5, sorted by rating. Open the top result and report its director and its worldwide gross.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} -{"web_name": "IMDb", "id": "IMDb--11", "ques": "Open the advanced title search page on IMDb. How many distinct genre options does the genre filter offer?", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} -{"web_name": "IMDb", "id": "IMDb--12", "ques": "Browse the Crime genre on IMDb. Report the title and year of the highest-rated crime title in the listing.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} -{"web_name": "IMDb", "id": "IMDb--13", "ques": "Open the IMDb News page. Find a story that mentions Christopher Nolan or one of his films and report the headline and publication date.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} -{"web_name": "IMDb", "id": "IMDb--14", "ques": "Compare The Dark Knight (2008) and Inception (2010) on IMDb. Which one has the higher IMDb rating, and which one had the larger worldwide gross?", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} -{"web_name": "IMDb", "id": "IMDb--15", "ques": "Sign in to IMDb as bob.c@test.com (password TestPass123!). Bob's Watchlist contains several TV series, including a few in the science-fiction / fantasy genre. Remove one of the science-fiction / fantasy shows from his Watchlist. The Watchlist holds more than one such show, so ask the user which one to remove before acting.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} -{"web_name": "IMDb", "id": "IMDb--16", "ques": "Sign in to IMDb as carol.d@test.com (password TestPass123!). Carol's Watchlist contains multiple crime films. Pick one of her crime watchlist titles and set her personal IMDb rating for it to 8 out of 10. Since more than one crime title qualifies, ask the user to choose which one before submitting the rating.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} -{"web_name": "IMDb", "id": "IMDb--17", "ques": "Sign in to IMDb as alice.j@test.com (password TestPass123!). Open the page for Interstellar (2014) and submit a written review with the headline 'Brilliant sci-fi epic' along with a 1-10 rating of 10. Confirm afterwards that the new review appears on Interstellar's user reviews page.", "web": "http://localhost:40019/", "upstream_url": "https://www.imdb.com/"} +{"web_name": "IMDb", "id": "IMDb--0", "ques": "Open the IMDb Top 250 Movies chart and identify the films ranked #1 and #3. For each film, report its title, runtime in minutes, and MPAA classification from its title information. Which of the two has the longer runtime?", "web": "http://localhost:40021/", "upstream_url": "https://www.imdb.com/", "verifier_path": "sites/imdb/verify/verify_0.py", "judge_rubric": "Confirm both movie-chart ranks; read and correctly bind each runtime and MPAA classification to its movie; identify the longer runtime. Either order of visiting the two titles is valid. Relevant navigation must belong to this run's local mirror; the exact homepage route or search wording is not an extra requirement. Equivalent wording and monetary units at the displayed precision are valid. This is a read-only task: business data must be unchanged."} +{"web_name": "IMDb", "id": "IMDb--2", "ques": "Open Domestic box office on the mirror. Identify the first-ranked movie by cumulative US & Canada gross among the titles in this catalog, and report its title and the production budget displayed on its title page.", "web": "http://localhost:40021/", "upstream_url": "https://www.imdb.com/", "verifier_path": "sites/imdb/verify/verify_2.py", "judge_rubric": "Use the catalog cumulative-domestic-gross chart, identify its first movie, and read that same movie's production budget from title details. This is not the live IMDb weekend chart. Relevant navigation must belong to this run's local mirror; the exact homepage route or search wording is not an extra requirement. Equivalent wording and monetary units at the displayed precision are valid. This is a read-only task: business data must be unchanged."} +{"web_name": "IMDb", "id": "IMDb--3", "ques": "Visit The Shawshank Redemption (1994) on IMDb. Report the production budget and the Opening weekend US & Canada gross displayed in its title details, keeping the two amounts clearly labeled.", "web": "http://localhost:40021/", "upstream_url": "https://www.imdb.com/", "verifier_path": "sites/imdb/verify/verify_3.py", "judge_rubric": "Read the correct title details and distinguish Budget from Opening weekend US & Canada. Both labeled amounts must match the displayed precision or equivalent exact amounts. Relevant navigation must belong to this run's local mirror; the exact homepage route or search wording is not an extra requirement. Equivalent wording and monetary units at the displayed precision are valid. This is a read-only task: business data must be unchanged."} +{"web_name": "IMDb", "id": "IMDb--4", "ques": "On IMDb, open The Godfather (1972). Who directed it, and what worldwide gross is displayed on its title page?", "web": "http://localhost:40021/", "upstream_url": "https://www.imdb.com/", "verifier_path": "sites/imdb/verify/verify_4.py", "judge_rubric": "Read the correct film's director credit or credits and worldwide gross. Full credits and title-detail director links are both valid. Relevant navigation must belong to this run's local mirror; the exact homepage route or search wording is not an extra requirement. Equivalent wording and monetary units at the displayed precision are valid. This is a read-only task: business data must be unchanged."} +{"web_name": "IMDb", "id": "IMDb--7", "ques": "Open Christopher Nolan's profile. Among the movies shown in the Director section of this mirror's filmography, identify the highest IMDb rating and report the corresponding movie title, release year, and rating. If movies tie for the highest rating, report all of them.", "web": "http://localhost:40021/", "upstream_url": "https://www.imdb.com/", "verifier_path": "sites/imdb/verify/verify_7.py", "judge_rubric": "Use the Director filmography on the correct person profile as the candidate set, considering only movies in this catalog. Compare their ratings and report all highest-rating ties with title, year and rating. Ratings may be obtained from any relevant on-site listing or details. Relevant navigation must belong to this run's local mirror; the exact homepage route or search wording is not an extra requirement. Equivalent wording and monetary units at the displayed precision are valid. This is a read-only task: business data must be unchanged."} +{"web_name": "IMDb", "id": "IMDb--8", "ques": "On The Dark Knight (2008), identify the first-billed cast member and the character they play. Then open that actor's profile and report the birth year displayed there.", "web": "http://localhost:40021/", "upstream_url": "https://www.imdb.com/", "verifier_path": "sites/imdb/verify/verify_8.py", "judge_rubric": "Identify the first-billed actor and character from the correct title's cast or full credits, and read that same actor's birth year on their profile. Relevant navigation must belong to this run's local mirror; the exact homepage route or search wording is not an extra requirement. Equivalent wording and monetary units at the displayed precision are valid. This is a read-only task: business data must be unchanged."} +{"web_name": "IMDb", "id": "IMDb--9", "ques": "Use Advanced title search with Type set to Movie, Genre set to Drama, a minimum IMDb rating of 8.5, and Sort by set to IMDb rating. Report three highest-rated matching titles in descending rating order. Order within a tie does not matter; if several titles tie at the third-place cutoff, any three-title set containing all higher-rated titles is acceptable.", "web": "http://localhost:40021/", "upstream_url": "https://www.imdb.com/", "verifier_path": "sites/imdb/verify/verify_9.py", "judge_rubric": "Submit the specified movie, Drama, minimum-rating and rating-order filters in Advanced title search. Report exactly three qualifying titles, retaining all titles above the third-place rating cutoff; either order or selection within the cutoff tie is valid. Results-page answers are valid. Relevant navigation must belong to this run's local mirror; the exact homepage route or search wording is not an extra requirement. Equivalent wording and monetary units at the displayed precision are valid. This is a read-only task: business data must be unchanged."} +{"web_name": "IMDb", "id": "IMDb--10", "ques": "Use Advanced title search for Movies in the Crime genre released from 1990 through 1999, with a minimum IMDb rating of 8.5, sorted by IMDb rating. For the highest-rated result, report the title, director or directors, and displayed worldwide gross. If results tie for the highest rating, report those details for every tied movie.", "web": "http://localhost:40021/", "upstream_url": "https://www.imdb.com/", "verifier_path": "sites/imdb/verify/verify_10.py", "judge_rubric": "Submit all specified Advanced title search constraints with inclusive year bounds. Read director and worldwide gross for every highest-rating tie in those results, with values bound to the correct titles. Relevant navigation must belong to this run's local mirror; the exact homepage route or search wording is not an extra requirement. Equivalent wording and monetary units at the displayed precision are valid. This is a read-only task: business data must be unchanged."} +{"web_name": "IMDb", "id": "IMDb--12", "ques": "Open the Crime genre page. Identify the highest-rated movie and the highest-rated TV series among its titles. Report each title, start year, and IMDb rating, and say which group has the higher top rating or whether they are tied. Report all titles tied for the highest rating within either group; you may use other on-site pages to check title type and details.", "web": "http://localhost:40021/", "upstream_url": "https://www.imdb.com/", "verifier_path": "sites/imdb/verify/verify_12.py", "judge_rubric": "Visit Crime genre, distinguish movie and TV-series membership, and compare the two highest-rating groups. Report all within-group ties, including title, start year and rating. On-site type checks through search or title pages are valid. Relevant navigation must belong to this run's local mirror; the exact homepage route or search wording is not an extra requirement. Equivalent wording and monetary units at the displayed precision are valid. This is a read-only task: business data must be unchanged."} +{"web_name": "IMDb", "id": "IMDb--14", "ques": "Compare The Dark Knight (2008) and Inception (2010) on IMDb. Report each film's displayed IMDb rating and worldwide gross, then identify which film has the higher rating and which has the larger worldwide gross, stating a tie if applicable.", "web": "http://localhost:40021/", "upstream_url": "https://www.imdb.com/", "verifier_path": "sites/imdb/verify/verify_14.py", "judge_rubric": "Read both named films, bind each displayed rating and worldwide amount correctly, and identify the higher rating and larger worldwide gross. Either navigation order is valid. Relevant navigation must belong to this run's local mirror; the exact homepage route or search wording is not an extra requirement. Equivalent wording and monetary units at the displayed precision are valid. This is a read-only task: business data must be unchanged."} +{"web_name": "IMDb", "id": "IMDb--15", "ques": "Sign in as bob.c@test.com (password TestPass123!). From Bob's Watchlist, consider only TV series tagged Sci-Fi or Fantasy (either genre qualifies). Remove the qualifying series with the earliest start year; break any year tie by title in alphabetical order. Remove only that series. Report its title, start year, qualifying genre or genres, and confirm that it is no longer in Bob's Watchlist.", "web": "http://localhost:40021/", "upstream_url": "https://www.imdb.com/", "verifier_path": "sites/imdb/verify/verify_15.py", "judge_rubric": "Select from Bob's initial Watchlist using the specified type, either genre, earliest-year and title tie-break rules. Remove exactly that item and no other business state; both watchlist and title-page removal controls are valid. Confirm its absence afterwards and report title, year and qualifying genres. Relevant navigation must belong to this run's local mirror; the exact homepage route or search wording is not an extra requirement. Equivalent wording and monetary units at the displayed precision are valid. "} +{"web_name": "IMDb", "id": "IMDb--16", "ques": "Sign in as carol.d@test.com (password TestPass123!). Among the Crime movies in Carol's Watchlist whose current personal rating is not 8/10 (unrated movies qualify), select the most recently released movie; break any year tie by title in alphabetical order. Set Carol's personal rating for only that movie to 8/10. Report its title and release year, and confirm the 8/10 rating on My ratings.", "web": "http://localhost:40021/", "upstream_url": "https://www.imdb.com/", "verifier_path": "sites/imdb/verify/verify_16.py", "judge_rubric": "Select from Carol's initial Crime-movie Watchlist using her initial personal ratings, latest year and title tie-break. Insert or update exactly her selected personal rating to 8; do not change other ratings, reviews, watchlist entries or global title ratings. Confirm it on My ratings and report title and year. Relevant navigation must belong to this run's local mirror; the exact homepage route or search wording is not an extra requirement. Equivalent wording and monetary units at the displayed precision are valid. "} +{"web_name": "IMDb", "id": "IMDb--17", "ques": "Sign in to IMDb as alice.j@test.com (password TestPass123!). Open the page for Interstellar (2014) and submit a written review with the headline 'Brilliant sci-fi epic' along with a 1-10 rating of 10. Confirm afterwards that the new review appears on Interstellar's user reviews page.", "web": "http://localhost:40021/", "upstream_url": "https://www.imdb.com/", "verifier_path": "sites/imdb/verify/verify_17.py", "judge_rubric": "Create exactly one new review by the specified synthetic account for the specified movie with the requested exact headline, review rating 10 and any nonempty review body. Verify it appears on that movie's reviews page. Any review-list sort is valid; a separate personal-rating write is not required. Other business state must remain unchanged. Relevant navigation must belong to this run's local mirror; the exact homepage route or search wording is not an extra requirement. Equivalent wording and monetary units at the displayed precision are valid. "} diff --git a/sites/imdb/templates/account.html b/sites/imdb/templates/account.html index 469f0a56..d0e12130 100644 --- a/sites/imdb/templates/account.html +++ b/sites/imdb/templates/account.html @@ -8,5 +8,8 @@

Your account

  • Your ratings — {{ rating_count }} rating{{ 's' if rating_count != 1 }}
  • Reviews you have written: {{ review_count }}
    • -

    Sign out

    +
    + + +
    {% endblock %} diff --git a/sites/imdb/templates/advanced_search.html b/sites/imdb/templates/advanced_search.html index 4bf2d736..a07c5e1e 100644 --- a/sites/imdb/templates/advanced_search.html +++ b/sites/imdb/templates/advanced_search.html @@ -50,7 +50,7 @@

    {{ results|length }} result{{ 's' if results|length != 1 }}

    ({{ t.year }}) · ★{{ '%.1f'|format(t.rating_avg) }} · {{ t.num_votes|compact_votes }} votes · - {{ t.runtime_min }}m · + {% if t.runtime_min %}{{ t.runtime_min }}m ·{% endif %} {% for g in t.genres %}{{ g.name }}{{ ', ' if not loop.last }}{% endfor %}

    {{ t.plot_short }}

    diff --git a/sites/imdb/templates/base.html b/sites/imdb/templates/base.html index 2f4fff7e..bdb0a93a 100644 --- a/sites/imdb/templates/base.html +++ b/sites/imdb/templates/base.html @@ -6,22 +6,22 @@ - +
    IMDb
    - +
    + Watchlist {% if current_user.is_authenticated %} - Watchlist {{ current_user.name }} - Sign Out +
    + + +
    {% else %} Sign In {% endif %} @@ -60,6 +63,13 @@
    +

    IMDb mirror — offline replica for web-agent benchmarks. Data is illustrative only.

    © 1990–{{ now_year }} IMDb mirror (WebHarbor)

    diff --git a/sites/imdb/templates/chart.html b/sites/imdb/templates/chart.html index dbd435c1..ba89168c 100644 --- a/sites/imdb/templates/chart.html +++ b/sites/imdb/templates/chart.html @@ -2,34 +2,41 @@ {% block title %}{{ chart_name }} - IMDb{% endblock %} {% block content %}
    +

    IMDb Charts

    {{ chart_name }}

    {{ description }}

    - - - - {% if chart_slug == 'boxoffice' %}{% endif %} - - - - {% for t in titles %} - - - - - - {% if chart_slug == 'boxoffice' %}{% endif %} - - {% endfor %} - -
    RankTitleIMDb ratingYearGross (US)
    - {% if chart_slug == 'top' or chart_slug == 'toptv' %}{{ t.top_rank }}{% elif chart_slug == 'moviemeter' %}{{ t.popularity_rank }}{% else %}{{ loop.index }}{% endif %} - - {{ t.primary_title }} +
    +
    +

    {{ titles|length }} titles

    +
      + {% for t in titles %} +
    1. + {% if t.poster_path %}{% endif %} +
      + #{% if chart_slug in ('top', 'toptv') %}{{ t.top_rank }}{% elif chart_slug == 'moviemeter' %}{{ t.popularity_rank }}{% else %}{{ loop.index }}{% endif %} +

      {{ t.primary_title }}

      +
      {{ t.year }}
      +
      ★ {{ '%.1f'|format(t.rating_avg) }} ({{ t.num_votes|compact_votes }})
      + {% if chart_slug == 'boxoffice' %}
      Gross US & Canada: {{ t.box_office_us|money }}
      {% endif %} +
      {% if current_user.is_authenticated %} -
      - -
      +
      + + +
      {% endif %} -
    		★ {{ '%.1f'|format(t.rating_avg) }}{{ t.year }}{{ t.box_office_us|money }}
    + + {% endfor %} + + + +
    {% endblock %} diff --git a/sites/imdb/templates/index.html b/sites/imdb/templates/index.html index 750aceba..3b0e197e 100644 --- a/sites/imdb/templates/index.html +++ b/sites/imdb/templates/index.html @@ -1,9 +1,10 @@ {% extends 'base.html' %} +{% block body_class %}home-page{% endblock %} {% block content %}

    What to watch

    -

    Top picks, trending titles, and stories from IMDb editors.

    +

    Explore movies and TV shows.

    @@ -14,7 +15,6 @@

    Top picks for you

    +
    +

    From your Watchlist

    + {% if current_user.is_authenticated %} +

    Keep track of what you want to watch.

    +     Go to your Watchlist + {% else %} +

    Sign in to access your Watchlist
    Save shows and movies to keep track of what you want to watch.

    + Sign in to IMDb + {% endif %} +
    +

    Trending this week

    @@ -61,6 +72,9 @@

    Recently released

      {% for t in in_theaters %}
    • + {% if t.poster_path %} + + {% endif %} {{ t.primary_title }}
      ★ {{ '%.1f'|format(t.rating_avg) }} diff --git a/sites/imdb/templates/login.html b/sites/imdb/templates/login.html index 1c4df288..fdaca105 100644 --- a/sites/imdb/templates/login.html +++ b/sites/imdb/templates/login.html @@ -3,6 +3,7 @@ {% block content %}

      Sign in

      + diff --git a/sites/imdb/templates/register.html b/sites/imdb/templates/register.html index fc4f34bd..d7c67772 100644 --- a/sites/imdb/templates/register.html +++ b/sites/imdb/templates/register.html @@ -3,6 +3,7 @@ {% block content %}

      Create your account

      + diff --git a/sites/imdb/templates/title_detail.html b/sites/imdb/templates/title_detail.html index ec653096..0b567fb9 100644 --- a/sites/imdb/templates/title_detail.html +++ b/sites/imdb/templates/title_detail.html @@ -3,6 +3,12 @@ {% block content %}
      +
      +

      {{ title.primary_title }}

      @@ -10,7 +16,7 @@

      {{ title.primary_title }}

      {% if title.title_type == 'tvSeries' %}TV Series · {% endif %} {{ title.year }}{% if title.end_year and title.end_year != title.year %}–{{ title.end_year }}{% endif %} · {{ title.mpaa_rating or 'Not Rated' }} - · {{ title.runtime_min }}m + {% if title.runtime_min %}· {{ title.runtime_min }}m{% endif %}
      {% for g in title.genres %} @@ -36,10 +42,12 @@

      {{ title.primary_title }}

      +
      {% if title.poster_path %} {% endif %} +
      {% if title.taglines() %}

      “{{ title.taglines()[0] }}”

      {% endif %} @@ -50,7 +58,11 @@

      Plot

      {{ title.plot }}

    -
    +
    + + + +

    Top cast

    {% if cast %}
      @@ -85,7 +97,7 @@

      Top cast

      {% endif %}
    -
    +

    Box office & details

    Release date
    {{ title.release_date or '—' }}
    @@ -102,11 +114,13 @@

    Box office & details

    +{% endif %} + -{% if in_theaters %} -
    -
    -

    Recently released

    +{% if features.get('editorial') %} + +{% endif %} +{% for feature in features.get('spotlight', []) %} +
    +

    {{ feature.heading }} ›

    {{ feature.subtitle }}

    +
    {{ feature.payload.title }}

    {{ feature.payload.title }}

    {% for credit in feature.payload.credits %}

    {{ credit.role }} {{ credit.names|join(' · ') }}

    {% endfor %}All captured episodes ›
    -
      - {% for t in in_theaters %} -
    • - {% if t.poster_path %} - - {% endif %} - {{ t.primary_title }} -
      - ★ {{ '%.1f'|format(t.rating_avg) }} - · {{ t.year }} - · {% for g in t.genres %}{{ g.name }}{{ ', ' if not loop.last }}{% endfor %} -
      -
      • - {% endfor %} -
    + {% if feature.payload.episodes %}

    Season {{ feature.payload.season }} · Episode ratings

    {% for episode in feature.payload.episodes %}{% endfor %}
    + {% for episode in feature.payload.episodes %}
    + {% if episode.image_path %}{{ episode.title }}{% endif %} +

    {{ episode.info }}

    {{ episode.title }} ›

    ★ {{ episode.rating }}/10

    {% if episode.plot %}

    {{ episode.plot }}

    {% endif %}
    +
    {% endfor %} +
    {% endif %} +
    +{% endfor %} +{% if features.get('starmeter') %} +

    Trending people ›

    STARmeter · IMDb snapshot {{ features.starmeter[0].captured_at[:10] }}

    {{ starmeter_row(features.starmeter[:12]) }}
    +{% else %}

    Explore people ›

    People from the local film and TV catalog

    +
    {% for person in people %}

    {{ person.name }}

    {% endfor %}
    +
    {% endif %} +

    What to watch

    + {{ title_row('Top picks for you', top_picks, url_for('chart_top'), 'Top-rated titles from this catalog') }} +
    +

    From your Watchlist ›

    + {% if watchlist %}{{ title_row('', watchlist, '', '') }} + {% else %}

    {{ 'Your Watchlist is empty' if current_user.is_authenticated else 'Sign in to access your Watchlist' }}

    Save shows and movies to keep track of what you want to watch.

    {% endif %} +
    +
    {{ title_row('Top 10 on IMDb', trending, url_for('chart_moviemeter'), 'Most popular in the catalog snapshot', true) }}
    +
    {{ title_row('Fan favorites', fan_favorites, url_for('advanced_title_search', sort='votes'), 'Most-voted titles in the catalog snapshot') }}
    +

    Popular interests ›

    {% for genre in interests %}{{ genre.name }} ›{% endfor %}
    +

    Explore what’s streaming

    + {% if features.get('streaming') %}
    {{ features.streaming[0].payload.service }}

    Included with Prime · IMDb snapshot {{ features.streaming[0].captured_at[:10] }} · playback not bundled

    {{ snapshot_row(features.streaming, 'streaming titles') }} + {% else %}

    Streaming availability has not been captured in this seed.

    {% endif %} +
    +

    Explore movies & TV shows

    + {{ title_row('Latest catalog releases', in_theaters, url_for('advanced_title_search'), 'Sorted by recorded release date; not live cinema listings') }}
    +

    Domestic box office ›

    Cumulative US & Canada gross · catalog snapshot

    +
      {% for t in box_office %}
    1. {{ loop.index }}
      {{ t.primary_title }}{{ t.box_office_us|money }}
      2. {% endfor %}
    +
    +{% if features.get('tv_schedule') %}

    Current & upcoming TV shows ›

    Episode & season dates · IMDb snapshot {{ features.tv_schedule[0].captured_at[:10] }}

    {{ snapshot_row(features.tv_schedule, 'TV shows') }}
    {% endif %} +{% if heroes %} +

    Featured trailer previews ›

    {% for feature in heroes %}{% endfor %}
    {% endif %} - -
    -
    -

    Latest IMDb news

    - All news › +

    More to explore

    Born today ›

    + {% if features.get('birthday') %}

    People born on {{ features.birthday[0].captured_at[5:10] }} · ages at {{ features.birthday[0].captured_at[:10] }}

    {{ birthday_row(features.birthday) }}{% else %}

    Birthdays have not been captured in this seed.

    {% endif %} +
    +

    Latest IMDb news ›

    +
    {% if features.get('news') %}
    {% for feature in features.news %}{% endfor %}
    {% endif %} +
    -
      - {% for n in latest_news %} -
    • - {{ n.headline }} - — {{ n.source }} · {{ n.published_at }} -

      {{ n.summary }}

      -
      • - {% endfor %} -
    - +

    Recently viewed

    {% if recent_titles %}
    {% endif %}
    +{% if recent_titles %}
    {% for t in recent_titles %}{{ t.primary_title }}{% endfor %}
    {% else %}

    You have no recently viewed pages

    {% endif %}
    {% endblock %} diff --git a/sites/imdb/templates/news.html b/sites/imdb/templates/news.html index fb97ec73..26c3b48b 100644 --- a/sites/imdb/templates/news.html +++ b/sites/imdb/templates/news.html @@ -2,10 +2,14 @@ {% block title %}IMDb News{% endblock %} {% block content %}

    IMDb News

    +
      {% for n in items %}
    • - {{ n.headline }} + {{ n.headline }} — {{ n.source }} · {{ n.published_at }} · {{ n.category }}

      {{ n.summary }}

      {% if n.related_tt and n.related_tt.startswith('tt') %} diff --git a/sites/imdb/templates/news_detail.html b/sites/imdb/templates/news_detail.html new file mode 100644 index 00000000..97419c54 --- /dev/null +++ b/sites/imdb/templates/news_detail.html @@ -0,0 +1,15 @@ +{% extends 'base.html' %} +{% block title %}{{ item.headline }} - IMDb{% endblock %} +{% block content %} +IMDb News +
      +

      {{ item.headline }}

      +

      {{ item.source }} · {{ item.published_at }} · {{ item.category }}

      +

      {{ item.summary }}

      + {% if item.related_tt.startswith('tt') %} + View related title › + {% elif item.related_tt.startswith('nm') %} + View related person › + {% endif %} +
      +{% endblock %} diff --git a/sites/imdb/templates/offline_service.html b/sites/imdb/templates/offline_service.html new file mode 100644 index 00000000..398d82ae --- /dev/null +++ b/sites/imdb/templates/offline_service.html @@ -0,0 +1,11 @@ +{% extends 'base.html' %} +{% block content %} +‹ IMDb home +

      {{ heading }}

      +{% if service == 'birthdays' %}

      The catalog records birth years, but does not contain verified birth dates. A “born today” list cannot be generated reliably from those records.

      +{% elif service == 'calendar' %}

      Live showtimes, episode schedules and upcoming release calendars are not included in this catalog snapshot.

      +{% else %}

      This service requires the live IMDb site and is not available in the offline benchmark. No external account, subscription or payment is required to use this mirror.

      {% endif %} +

      You can still search titles and people, browse charts, rate titles, write reviews and manage your Watchlist locally.

      +Browse titles +Your Watchlist +{% endblock %} diff --git a/sites/imdb/templates/title_detail.html b/sites/imdb/templates/title_detail.html index 0b567fb9..31afaaed 100644 --- a/sites/imdb/templates/title_detail.html +++ b/sites/imdb/templates/title_detail.html @@ -111,7 +111,7 @@

      Box office & details

    - ', 1)[0] + self.assertLess(favorites.index('Second release'), favorites.index('Synthetic title')) + def assert_unchanged(self, before): after = self.snapshot() self.assertEqual([name for name in before if before[name] != after[name]], []) diff --git a/sites/imdb/tests/test_homepage_seed.py b/sites/imdb/tests/test_homepage_seed.py new file mode 100644 index 00000000..0353e065 --- /dev/null +++ b/sites/imdb/tests/test_homepage_seed.py @@ -0,0 +1,226 @@ +"""Build-time snapshot import: catalog preservation and byte-stable re-import.""" +import importlib.util +import json +from pathlib import Path +import plistlib +import sqlite3 +import tempfile +import unittest +from copy import deepcopy + +spec = importlib.util.spec_from_file_location( + 'imdb_homepage_seed', Path(__file__).resolve().parents[1] / 'seed_homepage.py') +seed = importlib.util.module_from_spec(spec) +spec.loader.exec_module(seed) + +feature_spec = importlib.util.spec_from_file_location( + 'imdb_feature_seed', Path(__file__).resolve().parents[1] / 'seed_feature.py') +feature_seed = importlib.util.module_from_spec(feature_spec) +feature_spec.loader.exec_module(feature_seed) + + +class HomepageSeedTests(unittest.TestCase): + def test_feature_snapshot_import_is_sourced_local_and_idempotent(self): + with tempfile.TemporaryDirectory() as temp: + root = Path(temp) + database = root / 'imdb.db' + static = root / 'static' + poster = static / 'images/home/source.jpg' + poster.parent.mkdir(parents=True) + poster.write_bytes(b'source-image') + snapshot = root / 'feature.json' + snapshot.write_text(json.dumps({ + 'feature_id': 'featured-today-1', + 'source_url': 'https://www.imdb.com/most-anticipated/this-month/', + 'observed_at': '2026-09-12T01:02:03Z', + 'page_title': 'Source feature', + 'page_subtitle': 'Source description', + 'hero_image_path': 'images/home/source.jpg', + 'hero_image_sha256': feature_seed.digest(b'source-image'), + 'items': [{ + 'position': 1, + 'source_id': 'tt1234567', + 'title': 'Source title', + 'source_url': 'https://www.imdb.com/title/tt1234567/', + 'poster_path': 'images/home/source.jpg', + 'poster_sha256': feature_seed.digest(b'source-image'), + 'release_context': 'In theaters September 12', + 'description': 'Observed description.', + 'featuring': ['Source Person'], + }], + })) + with sqlite3.connect(database) as con: + con.execute('CREATE TABLE titles (id INTEGER PRIMARY KEY, name TEXT)') + con.execute("INSERT INTO titles VALUES (1, 'Preserved')") + con.execute('''CREATE TABLE home_features ( + id VARCHAR(80) PRIMARY KEY, kind VARCHAR(30) NOT NULL, + position INTEGER NOT NULL, heading TEXT NOT NULL, subtitle TEXT, + image_path TEXT, poster_path TEXT, source_url TEXT NOT NULL, + captured_at VARCHAR(40) NOT NULL, payload JSON NOT NULL)''') + con.execute('''INSERT INTO home_features VALUES + ('featured-today-1','editorial',1,'Old heading','Old subtitle','','', + 'https://www.imdb.com/','2026-09-10','{"type":"list"}')''') + result = feature_seed.import_snapshot(snapshot, database, static) + self.assertEqual(result['items'], 1) + self.assertEqual(result['protected_tables_unchanged'], ['titles']) + with sqlite3.connect(database) as con: + self.assertEqual(con.execute('SELECT * FROM titles').fetchall(), [(1, 'Preserved')]) + payload = json.loads(con.execute( + "SELECT payload FROM home_features WHERE id='featured-today-1'").fetchone()[0]) + self.assertEqual(payload['items'][0]['title'], 'Source title') + self.assertNotIn('poster_source_url', payload['items'][0]) + before = database.read_bytes() + feature_seed.import_snapshot(snapshot, database, static) + self.assertEqual(database.read_bytes(), before) + + def test_feature_snapshot_rejects_external_or_missing_media(self): + base = { + 'feature_id': 'featured-today-1', + 'source_url': 'https://www.imdb.com/most-anticipated/this-month/', + 'observed_at': '2026-09-12T01:02:03Z', + 'page_title': 'Source feature', + 'page_subtitle': 'Source description', + 'hero_image_path': 'images/home/missing.jpg', + 'hero_image_sha256': '0' * 64, + 'items': [], + } + with tempfile.TemporaryDirectory() as temp: + root = Path(temp) + database = root / 'imdb.db' + with sqlite3.connect(database) as con: + con.execute('''CREATE TABLE home_features ( + id VARCHAR(80) PRIMARY KEY, kind VARCHAR(30) NOT NULL, + position INTEGER NOT NULL, heading TEXT NOT NULL, subtitle TEXT, + image_path TEXT, poster_path TEXT, source_url TEXT NOT NULL, + captured_at VARCHAR(40) NOT NULL, payload JSON NOT NULL)''') + con.execute('''INSERT INTO home_features VALUES + ('featured-today-1','editorial',1,'Old','','','', + 'https://www.imdb.com/','2026-09-10','{}')''') + snapshot = root / 'feature.json' + snapshot.write_text(json.dumps(base)) + with self.assertRaisesRegex(ValueError, 'media'): + feature_seed.import_snapshot(snapshot, database, root / 'static') + invalid = dict(base, source_url='https://example.com/not-imdb') + snapshot.write_text(json.dumps(invalid)) + with self.assertRaisesRegex(ValueError, 'IMDb'): + feature_seed.import_snapshot(snapshot, database, root / 'static') + + def test_starmeter_keeps_observed_rank_and_optional_fields(self): + props = {'pageData': {'chartNames': {'edges': [ + {'currentRank': 7, 'node': {'id': 'nm123', 'nameText': {'text': 'Source Person'}, + 'primaryImage': {'url': 'https://m.media-amazon.com/a.jpg'}, + 'professions': [{'profession': {'text': 'Actor'}}], + 'knownForV2': {'credits': [{'title': {'id': 'tt123', + 'titleText': {'text': 'Source Film'}}}]}}}, + {'currentRank': 2, 'node': {'id': 'nm456', 'nameText': {'text': 'Another Person'}}}, + ]}}} + entries = seed.starmeter_entries(props) + self.assertEqual([entry['rank'] for entry in entries], [7, 2]) + self.assertEqual(entries[0]['professions'], ['Actor']) + self.assertEqual(entries[0]['known_for'], ['Source Film']) + self.assertEqual(entries[1]['image'], '') + self.assertEqual(entries[1]['professions'], []) + self.assertNotIn('rank_change', entries[1], 'Do not fabricate chart movements') + invalid = deepcopy(props) + invalid['pageData']['chartNames']['edges'][1]['currentRank'] = 7 + with self.assertRaisesRegex(ValueError, 'rank'): + seed.starmeter_entries(invalid) + invalid = deepcopy(props) + del invalid['pageData']['chartNames']['edges'][0]['currentRank'] + with self.assertRaises(ValueError): + seed.starmeter_entries(invalid) + + def test_chart_only_archive_preserves_homepage_and_is_idempotent(self): + props = {'requestContext': {'timestamp': '2026-09-10T15:18:46Z'}, + 'pageData': {'chartNames': {'edges': [ + {'currentRank': 3, 'node': {'id': 'nm123', + 'nameText': {'text': 'Source Person'}}}]}}} + html = '' + with tempfile.TemporaryDirectory() as temp: + root = Path(temp) + archive = root / 'source.webarchive' + archive.write_bytes(plistlib.dumps({'WebMainResource': { + 'WebResourceURL': 'https://www.imdb.com/chart/starmeter/', + 'WebResourceData': html.encode()}})) + database = root / 'imdb.db' + with sqlite3.connect(database) as con: + con.execute('CREATE TABLE titles (id INTEGER PRIMARY KEY, name TEXT)') + con.execute("INSERT INTO titles VALUES (1, 'Preserved')") + result = seed.import_archive(archive, database, root / 'static') + self.assertEqual(result['features'], 1) + with sqlite3.connect(database) as con: + self.assertEqual(con.execute('SELECT kind,position FROM home_features').fetchall(), [('starmeter', 3)]) + con.execute("INSERT INTO home_features VALUES ('topic-1','topic',1,'Preserved','','','','https://www.imdb.com/','2026-09-10','{}')") + before = database.read_bytes() + seed.import_archive(archive, database, root / 'static') + self.assertEqual(database.read_bytes(), before) + + def test_import_preserves_catalog_and_second_import_preserves_bytes(self): + props = { + 'requestContext': {'timestamp': '2026-09-10T13:37:06Z'}, + 'cmsContext': {'transformedPlacements': { + 'pill-1': {'transformedArguments': { + 'displayTitle': 'Source topic', 'linkTargetUrl': '/source-topic/'}}}}, + 'pageQueryData': {'data': {'news': {'edges': []}}}, + } + html = '' + with tempfile.TemporaryDirectory() as temp: + root = Path(temp) + archive = root / 'source.webarchive' + archive.write_bytes(plistlib.dumps({'WebMainResource': { + 'WebResourceURL': 'https://www.imdb.com/', + 'WebResourceData': html.encode()}})) + database = root / 'imdb.db' + with sqlite3.connect(database) as con: + con.execute('CREATE TABLE titles (id INTEGER PRIMARY KEY, name TEXT)') + con.execute('INSERT INTO titles VALUES (1, ?)', ('Original title',)) + result = seed.import_archive(archive, database, root / 'static') + self.assertEqual(result['features'], 1) + before = database.read_bytes() + seed.import_archive(archive, database, root / 'static') + self.assertEqual(database.read_bytes(), before) + with sqlite3.connect(database) as con: + self.assertEqual(con.execute('SELECT * FROM titles').fetchall(), [(1, 'Original title')]) + self.assertEqual(con.execute('SELECT heading FROM home_features').fetchall(), [('Source topic',)]) + con.execute("INSERT INTO home_features VALUES ('birthday-nm1', 'birthday', 1, 'Person', '', '', '', 'https://www.imdb.com/name/nm1/', '2026-09-10', '{}')") + before = database.read_bytes() + seed.import_archive(archive, database, root / 'static') + self.assertEqual(database.read_bytes(), before, 'An unloaded archive must preserve prior loaded collections') + + def test_episode_labels_are_taken_from_the_source(self): + page = seed.SourcePage('') + self.assertEqual(page.episodes, [{'number': 3, 'rating': '7.9', 'title': 'Do You Reject Satan?'}]) + + def test_episode_details_keep_their_own_media_plot_and_identity(self): + page = seed.SourcePage('''
    + +
    • S2.E3
    • Thu, Sep 3, 2026
    +

    Third & Final

     +

    Actual source plot.

    ''') + self.assertEqual(page.episode_details, [{'image': 'https://m.media-amazon.com/still.jpg', + 'info': 'S2.E3 Thu, Sep 3, 2026 ', 'title': 'Third & Final ', + 'plot': 'Actual source plot. ', 'source_path': '/title/tt123/'}]) + + def test_loaded_cards_keep_optional_source_fields_optional(self): + page = seed.SourcePage(''' +
    +
    + Example & Co + 7.4
    +
    + Future show + New: Season 1 +
    Wed, Sep 16
    + ''') + self.assertEqual(page.service, 'PRIME VIDEO') + self.assertEqual([c['kind'] for c in page.cards], ['streaming', 'tv_schedule', 'birthday']) + self.assertEqual(page.cards[0]['heading'], 'Example & Co') + self.assertEqual(page.cards[0]['source_path'], '/title/tt123/') + self.assertEqual(page.cards[1]['episode_path'], '/title/tt789/') + self.assertEqual(page.cards[1]['rating'], '') + self.assertEqual(page.cards[2]['age'], '') + + +if __name__ == '__main__': + unittest.main() From fba88dd6385ee4029cd49851a86f642da6b3d774 Mon Sep 17 00:00:00 2001 From: JackJin <1037461232@qq.com> Date: Sat, 12 Sep 2026 23:48:23 +0800 Subject: [PATCH 17/17] docs(imdb): finalize review report for maintainer handoff Refresh review-reports/PR-33-IMDB.md to the fixed candidate (code 1c8a1eb, HF PR #57 revision f9ddfd25): drop the superseded HF pin and Owner-pending text, record the formal 20-task blind review and reconciliation, the fixed-candidate engineering and guided impact regression, Owner visual acceptance, known limitations and the maintainer handoff order. Add public summaries and current-candidate screenshots under review-reports/assets/pr33-imdb/ and mark the historical probe summaries as superseded. Docs-only: no application, task, verifier, seed or asset bytes change. --- review-reports/PR-33-IMDB.md | 559 ++++++++++-------- .../candidate-regression-1c8a1eb-summary.json | 333 +++++++++++ review-reports/assets/pr33-imdb/evidence.json | 36 ++ .../formal-blind-review-1c8a1eb-summary.json | 197 ++++++ .../pr33-imdb/independent-review-summary.json | 1 + .../reconciliation-1c8a1eb-summary.json | 213 +++++++ .../assets/pr33-imdb/round4-feature-1440.jpg | Bin 0 -> 134450 bytes .../pr33-imdb/round4-feature-detail-1440.jpg | Bin 0 -> 73333 bytes .../assets/pr33-imdb/round4-home-1440.jpg | Bin 0 -> 139162 bytes .../assets/pr33-imdb/round4-home-390.jpg | Bin 0 -> 85052 bytes ...-expansion-independent-review-summary.json | 1 + .../pr33-imdb/task-expansion-summary.json | 12 +- 12 files changed, 1109 insertions(+), 243 deletions(-) create mode 100644 review-reports/assets/pr33-imdb/candidate-regression-1c8a1eb-summary.json create mode 100644 review-reports/assets/pr33-imdb/formal-blind-review-1c8a1eb-summary.json create mode 100644 review-reports/assets/pr33-imdb/reconciliation-1c8a1eb-summary.json create mode 100644 review-reports/assets/pr33-imdb/round4-feature-1440.jpg create mode 100644 review-reports/assets/pr33-imdb/round4-feature-detail-1440.jpg create mode 100644 review-reports/assets/pr33-imdb/round4-home-1440.jpg create mode 100644 review-reports/assets/pr33-imdb/round4-home-390.jpg diff --git a/review-reports/PR-33-IMDB.md b/review-reports/PR-33-IMDB.md index 943d38d8..9235a939 100644 --- a/review-reports/PR-33-IMDB.md +++ b/review-reports/PR-33-IMDB.md @@ -1,263 +1,313 @@ # IMDb reviewer validation -Status: **work in progress; not ready for merge**. Twenty distinct task candidates remain after quality review. All twenty have complete sealed UI runs, deterministic PASS and independent frozen-run PASS evidence. Owner visual acceptance remains pending, so the formal review gates stay sequential and this PR remains Draft. A local unit test, deterministic verdict, blind run-completion verdict or asset hash check does not imply visual acceptance. +Status: **ready for maintainer review; nothing is merged.** The reviewed candidate is +the fixed pair below. Twenty accepted tasks each have a complete sealed UI run, +deterministic PASS, and an independent frozen-run PASS from a formal 20-task blind +review of this candidate; the Owner accepted the expanded visual result on 2026-09-12 +after comparing it with live IMDb. This report revision is a docs-only commit on top +of the implementation fixed point; only files under `review-reports/` change. This review preserves [@hqhq1025's original IMDb contribution, PR #33](https://github.com/aiming-lab/WebHarbor/pull/33) -and its commit history. The reviewer branch integrates main at `36004932bdf82afbe36dc14e00f66841eccf9946`, including -OSU, Rotten Tomatoes, Compass and Walmart Careers, and appends IMDb at **40024** -(25 registered sites). +and its commit history. The reviewer branch integrates `main` at +`36004932bdf82afbe36dc14e00f66841eccf9946`, including OSU, Rotten Tomatoes, Compass and +Walmart Careers, and appends IMDb at **40024** (25 registered sites). -## Asset and source corrections - -The [reviewer asset PR #57](https://huggingface.co/datasets/ChilleD/WebHarbor/discussions/57) -adds only `imdb.tar.gz` relative to the current asset main. It remains open and -unmerged. The code pin uses its remotely verified union commit -`c2791ad0bd9a55c74046c6407566301b17348f50`: all 28 files from asset main -`18e64e4d230794f990199f3327432d26db36866f` are byte-identical, and the -reviewed IMDb archive is preserved as the sole additional file. +## Fixed candidate -| Artifact | SHA256 | +| Item | Value | |---|---| -| IMDb archive (27,385,423 bytes) | `5199d6d2601d070e09b235a149855435f8bb121c768ee5ab36fd6118bf830b74` | -| Corrected IMDb seed | `69f849b9c61fb71349958fdbedc301162881e3a171eb65098c2e5f6623b82471` | - -An independently downloaded copy at that commit matches the local archive, -including every member hash. Relative to the original IMDb archive, only -`instance_seed/imdb.db` changes; every original image and cache file is retained. - -The original loader accepted unrelated profile payloads under a requested -person ID. It now checks the canonical IMDb identity. The asset migration -uses exact official `nconst` records to correct 642 corroborated profile -collisions and canonicalize 47 uncertain alias/profile records, plus two -independently supported birth years. It also normalizes 390 complete release -dates without inventing missing dates. Memento and Schindler’s List now use -their canonical title years, while preserving their later regional release dates. -Credits, identifiers, synthetic users, -reviews, ratings and watchlists are preserved. - -For 689 affected profiles, unsupported biography, birthplace and portrait -links are cleared; replacement text or portraits have not been generated. -This is a source-coverage limitation. It does not mean that every retained -image file was individually proven wrong. See the +| Implementation fixed point (code) | `1c8a1eba19c084e202ecbab5977280701b9068c2` | +| Base | `36004932bdf82afbe36dc14e00f66841eccf9946` (`main`) | +| HF asset PR | [ChilleD/WebHarbor #57](https://huggingface.co/datasets/ChilleD/WebHarbor/discussions/57), open, no conflicting files reported | +| Pinned HF revision (`.assets-revision`) | `f9ddfd2596229f2610418d57fc88c3051e1056bb` (`refs/pr/57`) | +| `imdb.tar.gz` | 39,111,545 bytes, SHA256 `0663d30fe90ed2a0659dfe78ecf7ab1718970f565a64c6855a2c6aaadc606513` | +| Seed `instance_seed/imdb.db` | SHA256 `9d843c5388ecbc0d5265ac316cdaee915f8b203121b5a5330d207af5fb6206b0` | +| `sites/imdb/tasks.jsonl` | SHA256 `36214b6cf168c726d60e1ea0662ddfbfce6fa5dc77c804812460d1c38da545d8`, 20 rows | +| Local immutable check image | `sha256:edf9bbbd019813665fc169e39174db70c11969dcf182260f04d8f81636802dad` | + +HF PR #57 lineage: `4d5709e` (first reviewer seed) → `e70f49d` (title-year +corrections) → `c2791ad` (union with asset main `18e64e4d`) → `f9ddfd25` (homepage and +editorial media plus the updated seed). Only `imdb.tar.gz` changes at `f9ddfd25` +relative to `c2791ad`; every other dataset path is byte-identical. The archive was +independently re-downloaded through the official HF client and matched the local +candidate on archive, seed and all 4,536 members (247 members added, none removed, +all pre-existing image/cache hashes unchanged). Asset main has since advanced to +`ad6f424f` with two unrelated archives (`fedex.tar.gz`, `webmd_doctor.tar.gz`); PR #57 +still adds only `imdb.tar.gz` and reports no conflicts. + +## Asset and source corrections + +The original loader accepted unrelated profile payloads under a requested person ID. +It now checks the canonical IMDb identity. The asset migration uses exact official +`nconst` records to correct 642 corroborated profile collisions and canonicalize 47 +uncertain alias/profile records, plus two independently supported birth years. It also +normalizes 390 complete release dates without inventing missing dates. Memento and +Schindler's List use their canonical title years while preserving their later regional +release dates. Credits, identifiers, synthetic users, reviews, ratings and watchlists +are preserved. + +For 689 affected profiles, unsupported biography, birthplace and portrait links are +cleared; replacement text or portraits have not been generated. This is a +source-coverage limitation and does not mean that every retained image file was +individually proven wrong. See the [source provenance and reproducible migration](../sites/imdb/docs/seed-provenance.md). The original [asset PR #23](https://huggingface.co/datasets/ChilleD/WebHarbor/discussions/23) -is linked to this candidate; maintainers should coordinate the two so that -the old seed is not reintroduced. +is linked to this candidate; maintainers should coordinate the two so that the old seed +is not reintroduced. + +IMDb's live ratings, box-office totals and front-page content change. This mirror +contains a fixed catalog; current source observations and historical values are +distinguished. The local **Domestic box office** page explicitly ranks catalog titles by +cumulative US & Canada gross and is not represented as IMDb's dated weekend chart. Test +users, watchlists, personal ratings and user reviews are synthetic benchmark state. + +## Homepage and editorial expansion + +The homepage now separates sourced editorial content from the benchmark catalog. A +separate `home_features` table holds 219 source rows captured from the logged-out IMDb +homepage on 2026-09-10 after lazy-loaded sections appeared: nine trailer artwork +previews, eight editorial previews, four topic links, one episode spotlight with eight +episode scores, five news previews, 25 streaming titles, 37 TV-schedule cards, 30 +birthdays and the captured top-100 STARmeter. The +[What to Watch in September](../sites/imdb/docs/most-anticipated-2026-09-12.json) +editorial route was observed separately on 2026-09-12 (17 entries) and has a local +detail route per entry. All media is served locally; the importers validate official +source URLs and local file hashes and are build-time tools, not boot or reset hooks. +Sources, capture times and hashes are recorded in +[`homepage-sources.json`](../sites/imdb/docs/homepage-sources.json), +[`starmeter-sources.json`](../sites/imdb/docs/starmeter-sources.json) and the +[homepage snapshot notes](../sites/imdb/docs/homepage-snapshot.md), which also list +the remaining fidelity gaps (no trailer video files, editorial destinations show the +sourced preview only, no episode pages, no live showtimes/ticketing/playback, offline +information pages for app/commercial/social destinations). + +Browser checks on the fixed candidate (Chromium, 1440×900 and 390×844): homepage and +`/feature/featured-today-1` returned HTTP 200 with no horizontal overflow; the feature +page rendered all 17 entries with locally bundled images; all 17 detail routes returned +200 with no overflow. Anonymous headless Chromium receives IMDb's 403, so the source +comparison relies on the Owner's browser session and the frozen source fields rather +than a new automated source capture. + +| View | Candidate (2026-09-12) | +|---|---| +| Home, 1440 wide, top of page | ![Candidate home](assets/pr33-imdb/round4-home-1440.jpg) | +| Feature route, 1440 wide, top of page | ![Candidate feature](assets/pr33-imdb/round4-feature-1440.jpg) | +| Feature detail, 1440×900 | ![Candidate feature detail](assets/pr33-imdb/round4-feature-detail-1440.jpg) | +| Home, 390 wide, top of page | ![Candidate home 390](assets/pr33-imdb/round4-home-390.jpg) | -IMDb's live ratings, box-office totals and front-page content can change. -This mirror contains a fixed catalog; current source observations and -historical values must be distinguished. The local **Domestic box office** -page explicitly ranks catalog titles by cumulative US & Canada gross. It is -not represented as IMDb's dated weekend chart. Test users, watchlists, -personal ratings and user reviews are synthetic benchmark state. +The earlier 2026-09-08 source/before/candidate comparison is retained below for the +pre-expansion state. [Capture purposes and hashes](assets/pr33-imdb/evidence.json) +identify every included image. ## Task and scoring scope -The candidate retains original IDs `0, 2, 7, 9, 10, 12, 14, 15, 16, 17` -and retires `1, 3, 4, 5, 6, 8, 11, 13`. Earlier retirements cover duplicate/shallow -lookups with answers exposed on cards, a count of static filter options, and -helpfulness selection where the seed has only one review. The final quality pass -also removes tasks 3 and 4 because the first matching title detail exposes every -requested value, and task 8 because its actor/character/birth-year combination -has a stable common-knowledge shortcut. An extra same-page anchor click or a -required profile visit does not remove those design problems. All corresponding -site features and original frozen executions remain intact. - -To meet the owner's minimum of twenty without restoring those weak tasks, the candidate adds IDs `18–27`. Six are read-only relations or calculations: constrained pair optimization, role-bound filmography intersection, full-filmography aggregation, cross-account set subtraction, duplicate-review grouping and calendar-interval comparison. Four are stateful: multi-item Watchlist qualification, cross-account recommendation transfer, new-account queue persistence and a review-derived personal-rating reconciliation. They are different capabilities rather than name or number substitutions. No prompt contains its answer. +The candidate retains original IDs `0, 2, 7, 9, 10, 12, 14, 15, 16, 17` and retires +`1, 3, 4, 5, 6, 8, 11, 13`. Earlier retirements cover duplicate/shallow lookups with +answers exposed on cards, a count of static filter options, and helpfulness selection +where the seed has only one review. The final quality pass also removes tasks 3 and 4 +because the first matching title detail exposes every requested value, and task 8 +because its actor/character/birth-year combination has a stable common-knowledge +shortcut. All corresponding site features and original frozen executions remain intact. + +To meet the Owner's minimum of twenty without restoring those weak tasks, the candidate +adds IDs `18–27`. Six are read-only relations or calculations: constrained pair +optimization, role-bound filmography intersection, full-filmography aggregation, +cross-account set subtraction, duplicate-review grouping and calendar-interval +comparison. Four are stateful: multi-item Watchlist qualification, cross-account +recommendation transfer, new-account queue persistence and a review-derived +personal-rating reconciliation. No prompt contains its answer, and no dated +editorial-page task was added merely to reach 21. The revisions add needed detail lookups, specify movie/TV scope, define ties, -distinguish monetary fields, and replace the two requests for an external -human's choice with deterministic selection from each synthetic user's -initial watchlist. Questions, English rubrics and verifier entry points are kept in -one-to-one correspondence; expected answers are not placed in task rows. - -The verifiers derive expected entities and values from the before snapshot. -Read-only tasks compare every business table. Stateful tasks permit only -the specified row change and require local UI action and subsequent page -evidence. Alternative entry routes and equivalent displayed monetary units -are supported. Exact model prose is not required. - -The [verifier interface](../sites/imdb/verify/README.md) runs offline with the -standard library. Synthetic tests cover ambiguous ties, entity/field binding, -failed or foreign navigation, wrong account/target, no-op changes, additional -writes and legitimate alternatives. The repository's native -`eval_judge.py --verifier True` has also been exercised with a synthetic -positive and a foreign-origin negative; both produced the expected verdicts. -These fixtures are not browser trajectories. - -For the expansion, the task file and verifier routing remain one-to-one at twenty IDs. The full IMDb suite passes **289 tests** using the browser candidate's pinned Flask dependency versions. Focused expansion tests pass **115/115**, including wrong owner, partial result, extra write, arbitrary credential placeholder, incorrect grouping and field-binding negatives. Safe recorder placeholders `[SUPPLIED PASSWORD]` and `[REDACTED]` are accepted only when the snapshot password hash matches the task-supplied credential and the same-origin login/register transition succeeds. +distinguish monetary fields, and replace the two requests for an external human's +choice with deterministic selection from each synthetic user's initial watchlist. +Questions, English rubrics and verifier entry points are kept in one-to-one +correspondence; expected answers are not placed in task rows. + +The verifiers derive expected entities and values from the before snapshot. Read-only +tasks compare every business table. Stateful tasks permit only the specified row change +and require local UI action and subsequent page evidence. Alternative entry routes and +equivalent displayed monetary units are supported. Exact model prose is not required. + +The [verifier interface](../sites/imdb/verify/README.md) runs offline with the standard +library. Synthetic tests cover ambiguous ties, entity/field binding, failed or foreign +navigation, wrong account/target, no-op changes, additional writes and legitimate +alternatives. The repository's native `eval_judge.py --verifier True` has also been +exercised with a synthetic positive and a foreign-origin negative; both produced the +expected verdicts. These fixtures are not browser trajectories. Safe recorder +placeholders `[SUPPLIED PASSWORD]` and `[REDACTED]` are accepted only when the snapshot +password hash matches the task-supplied credential and the same-origin login/register +transition succeeds. ## UI and functional review -The navigation now has an accessible click/keyboard menu and usable search; -home cards use the dark palette, charts show poster/rank rows, and title details -use a dark overview with a separate facts section. Desktop and 390px layouts -were checked in a real browser. Checked pages had no broken images or page-width -overflow; these checks do not establish full source fidelity. - -The original contribution lacks trailer/Up next/editorial media, streaming and -showtime services, recent history, and a full external-service footer. The local -catalog contains 145 movies in its Top250 listing. Narrow search uses a second -row, and Roboto is not bundled. These inherited limitations and visual differences -remain explicit scope decisions; **owner visual acceptance is pending**. +The navigation uses an accessible menu drawer and usable search; home cards use the +dark palette, charts show poster/rank rows, and title details use a dark overview with a +separate facts section. Desktop and 390px layouts were checked in a real browser on +the fixed candidate with no broken images or page-width overflow. The Owner accepted +the expanded result on 2026-09-12; the fidelity gaps listed in the homepage snapshot +notes are explicit scope decisions rather than open defects. -| View | Original site | Before repair | Candidate | +| View | Original site | Before repair | Candidate (2026-09-08, pre-expansion) | |---|---|---|---| | Home, 1440×900 | ![IMDb home](assets/pr33-imdb/source-home.jpg) | ![Original mirror](assets/pr33-imdb/before-home.jpg) | ![Candidate mirror](assets/pr33-imdb/candidate-home.jpg) | | Dark Knight, 1280×720 | ![IMDb detail](assets/pr33-imdb/source-detail.jpg) | Original audit retained separately | ![Candidate detail](assets/pr33-imdb/candidate-detail.jpg) | -Source/before used IAB and candidate captures used Chrome; these are visual -comparisons, not a calibrated pixel regression baseline. Source advertising -and editorial content are dynamic. [Capture purposes and hashes](assets/pr33-imdb/evidence.json) -identify the included images. - -All state-changing forms now use Flask-WTF CSRF protection, including both -logout entry points. Same-origin watchlist return paths are constrained, -overflowing year input returns 400, malformed email registration is rejected, -and invalid review scores cannot write a review. The default CSRF token expiry -remains enabled. The application keeps its existing Flask/Jinja stack. - -A frozen guided browser audit covered registration/login, failed inputs, -watchlist add/remove, personal rating and written-review persistence. A real -form hosted on a different localhost port submitted a rating without a CSRF -token: the application returned 400 and the entire database remained unchanged. -[Rejection screenshot](assets/pr33-imdb/csrf-rejected.png). The audit exposed one -account-page GET logout link missed by handler tests; it was converted to a -protected POST form. Its focused real-browser recheck then confirmed logout through -the account body, an anonymous navigation bar, and unchanged database bytes. -[Post-fix confirmation](assets/pr33-imdb/account-logout.png). Out-of-range review -ratings were tested at the handler boundary; the browser UI only offers valid -scores, so no malformed browser selection is claimed. - -## Recorded engineering results - -For code `50bcce503637522d15bdafa533381204750f415f` and the pinned asset revision: +Source/before used IAB and candidate captures used Chrome; these are visual comparisons, +not a calibrated pixel regression baseline. Source advertising and editorial content are +dynamic. + +All state-changing forms use Flask-WTF CSRF protection, including both logout entry +points. Same-origin watchlist return paths are constrained, overflowing year input +returns 400, malformed email registration is rejected, and invalid review scores cannot +write a review. The application keeps its existing Flask/Jinja stack. + +A frozen guided browser audit covered registration/login, failed inputs, watchlist +add/remove, personal rating and written-review persistence. A real form hosted on a +different localhost port submitted a rating without a CSRF token: the application +returned 400 and the entire database remained unchanged +([rejection screenshot](assets/pr33-imdb/csrf-rejected.png)). The audit exposed one +account-page GET logout link missed by handler tests; it was converted to a protected +POST form and rechecked in a real browser +([post-fix confirmation](assets/pr33-imdb/account-logout.png)). Out-of-range review +ratings were tested at the handler boundary; the browser UI only offers valid scores. +The later homepage expansion did not change these handlers; every accepted task path was +replayed on the fixed candidate (see below). + +## Engineering results on the fixed candidate + +Checks inside the immutable image built from code `1c8a1eb` and HF `f9ddfd25`: | Check | Observed result | |---|---| -| Full environment HTTP sweep | 22/22 HTTP 200 before and after reset-all | -| Control plane | All 22 registered sites alive | -| IMDb dirty database reset | Synthetic canary removed; runtime bytes equal the pinned seed SHA256 above | -| reset-all | All 22 ready, 3.241 seconds | -| IMDb engineering suite | 146 tests passed in 13.018 seconds | - -Local disk exhaustion interrupted unpacking after the full repository Dockerfile -had exported its image. After reclaiming only this review’s temporary build -context, that exact image started successfully and passed the 22-site checks. -The final local build reused this exact full image and copied only seven changed -IMDb files (two-year migration/manifest/tests/docs, corrected seed, and account -logout template/test). It completed with exit 0; no site directories were mounted -from the host. The regular source build below remains the reproduction path. - -[Recorded mechanical output](assets/pr33-imdb/mechanical-results.json) and -[engineering test output](assets/pr33-imdb/engineering-tests.txt) are included -for independent inspection. These checks precede the offline parser-only fix. - -The browser runtime image is -`sha256:74aec29b73596a5a11ba43a4a1d0b22b82a473b4d36fcb232c2235d83d4258e9`. -The final ten-task contract and scorer are commit -`a37df75a873842be0ed4510baab5dbff361ac9ad`. -Its complete local image is -`sha256:a7ee01b145cc1bd90511114d260211a176eb5ab41002095d9ed69fb1fa0dc7f0`. -Relative to the recorded browser image, only offline grading/tests/docs and the -retired task subset change. Its isolated, network-disabled full IMDb suite passed -**174 tests in 16.020 seconds**. -[Final test output](assets/pr33-imdb/engineering-tests-final.txt) and -[scorer identities, results and applicable/retired cases](assets/pr33-imdb/scoring-results.json) -are included. Application, asset, port and control-plane bytes are unchanged; -the recorded 22-site mechanics remain applicable. The ten retained task/rubric -rows are byte-identical to their executed definitions. +| Full environment HTTP sweep | 25/25 HTTP 200 before and after the task regression | +| Control plane | 25/25 registered sites ready | +| IMDb dirty database reset | Runtime bytes equal the pinned seed SHA256 above | +| reset-all | All sites ready, 5.35 seconds | +| IMDb unit tests | 307 passed in 21.763 seconds | +| Guided replay of all 20 task paths from the homepage | 20/20 UI complete, 20/20 deterministic verifier PASS, 311 recorded steps, 13/13 read-only tasks left the database byte-identical, 7/7 write tasks produced the expected delta, 20/20 official resets restored the seed | + +The image carries matching code and asset-revision labels and has no host mounts. It +was assembled from the already verified shared dependency image plus the exact fixed +code and the downloaded HF archive because the host did not have the headroom used for +an unknown-peak full rebuild; it is not represented as a fresh standard-Dockerfile +build. The [reproduction](#reproduction) path below is the standard source build. The +guided replay is implementation-informed change-impact regression; it is not new +independent exploration, does not replace the sealed canonical runs and is not a blind +review. Per-task results are in +[`candidate-regression-1c8a1eb-summary.json`](assets/pr33-imdb/candidate-regression-1c8a1eb-summary.json). + +Historical results for code `50bcce5` (22-site integration at that time) are retained: +22/22 HTTP 200, byte-identical IMDb reset, reset-all 3.241 s, 146 and later 174 +engineering tests +([mechanical output](assets/pr33-imdb/mechanical-results.json), +[engineering tests](assets/pr33-imdb/engineering-tests.txt), +[final ten-task scorer tests](assets/pr33-imdb/engineering-tests-final.txt), +[scorer identities and results](assets/pr33-imdb/scoring-results.json)). ## Frozen task executions and scoring -The ten added candidates each have one complete canonical run and deterministic PASS, totaling **219 recorded steps** with no action or capture failure in the selected runs. Task 18 also preserves a complete one-step environment failure stopped at an incorrect viewport. Task 21 preserves an incomplete earlier attempt with no final answer or after snapshot; neither attempt is counted as a task or a passing run. Original run files were not rewritten when scoring-format false negatives were fixed. - -The added set covers six read-only tasks (18–23) and four exact state transitions (24–27). Every read-only run leaves all business tables unchanged. The stateful runs constrain destination owner, permitted rows, preserved pre-existing state and required confirmation. Deterministic 10/10 is engineering evidence only; a separate frozen-run review also returned 10/10 PASS. -[Public expansion counts and limits](assets/pr33-imdb/task-expansion-summary.json) are recorded without private run contents. - -The final native deterministic regrade passes **10/10 retained main runs** and -**3/3 separately recorded guided alternatives**: a different legal cutoff tie -(task 9), Watchlist row removal (15), and Most recent review confirmation (17). -All **30 applicable constructed cases (8 positive, 22 negative)**, seven historical -controls and one extra unit calibration case match their prior expectations. -The 529 original main/guided files are hash-preserved. Twelve retired input records -remain linked to historical results and are excluded from current totals. - -Thirteen main executions were recorded before final quality review; **ten are -retained for the candidate**. Each has actual actions, screenshots, a final answer -and before/after snapshots. The selected ten contain 98 recorded steps and 80 -successful substantive actions. The runner was isolated from source, hidden -answer keys and scoring outputs, but retained its own preceding UI context, -including retired tasks. These are not ten fresh-context trials or an estimate -of model success rate. -[Per-task results, paths and original final screenshot excerpts](assets/pr33-imdb/tasks/task-table.md) -include actual versions, hashes, failed attempts and context disclosures in -[structured form](assets/pr33-imdb/tasks/task-results.json). One final image does -not prove the full execution; complete original evidence was supplied for independent blind review. - -The retained task 17 pilot keeps its r1 code/input hashes and HF -`4d5709e171d7c40fc742727adfa98b04b9023039`. The other nine used r2 code `50bcce5` -and current HF `e70f49d`. A file-by-file reuse audit found that the pilot's actual -pages and facts were unchanged: the later application change was account-body -logout, which it did not visit; the only data changes were two title years outside -its observed titles. None is relabeled as an execution at the final PR head. -Retirement only removes other task rows and their dedicated scoring entry points; -the retained questions and rubrics are unchanged. - -The real runs exposed false rejections of task 17's headline reference, -task 0's rank prefixes/runtime difference, task 12's group labels, and task 16's -correctly reported previous rating. A guided row-Remove route also exposed a missed -nested button locator. The repairs distinguish those statements and controls -without relaxing task requirements. Wrong headline suffixes, ranks, comparison -differences, old/current ratings, entities and extra database writes remain -negative controls. Numeric “from 9 to 8” transitions are distinguished from the -series “From” before entity binding. For nested controls, the row title and origin -remain checked while only the actual child identifies the action. Original -failed verdicts and source run files remain unchanged. - -The historical thirteen-task matrix passed 13 main regrades and four guided -alternatives, 34 constructed cases (9 positive, 25 negative), 11 reconstructed -historical controls and one additional unit calibration case. Those exact inputs -and outputs remain separate from the final ten-task regrade. Retired-task samples -are marked inapplicable to the current contract; they are not relabeled as current -successes. Fixtures are not browser runs and these counts do not establish overall -scorer accuracy. The public test suite reproduces the retained parser/state invariants. - -Seven observed retained paths used at least five successful substantive actions; -tasks 0, 12 and 14 perform comparisons. Task 10's multiple constraints and tied -leaders, and tasks 15/16's personal initial-state selection and exact writes, -support the design judgment that precision can challenge a frontier model. -The observed routes do not prove a minimum over every legal path; empirical model -difficulty is **NOT_VERIFIED**. - -## Independent frozen-run review - -Claude Code returned **10 PASS / 0 FAIL** for the ten retained main executions -on 2026-09-08. The result identifies its model as `claude-fable-5-1`, as declared -by that reviewer session; this identity is not independently attested. The input -manifest and all 288 files, plus the received result SHA256, were independently -verified on receipt. See the [per-task summary, review method and limitations](assets/pr33-imdb/independent-review-summary.json). - -The reviewer used task/rubric, original actions and answers, DOM, screenshots -and read-only before/after databases. Ten key screenshots were viewed; the other -98 PNGs were hash-checked. It reports no access to source, deterministic verdicts, -hidden answers or earlier review conclusions. The three guided alternatives were -not part of this blind review. - -This result covers the original retained IDs `0, 2, 7, 9, 10, 12, 14, 15, 16, 17`. A separate neutral packet for IDs `18–27`, targeting code `3d9fc7205c55e7403c8cc8637675649710820b48`, was then reviewed by a session declaring `claude-opus-5`. Its 540-file manifest and received result hash were verified; it returned **10 PASS / 0 FAIL**. The reviewer replayed actions, checked same-run DOM evidence, recomputed derived quantities, and compared read-only before/after databases. For stateful runs it confirmed only the requested rows changed. See the [expansion review summary and limitations](assets/pr33-imdb/task-expansion-independent-review-summary.json). - -Task 19 is evaluated from the amounts displayed by the mirror: `$30.1M / $52.0M` rounds to **57.9%**. Calculating from hidden raw values would produce 57.8%, but does not change the unique maximum. Task 26 completed its requested registration, sign-out/sign-in and Watchlist persistence flow, but its run-start and seal-time model, prior-answer-knowledge and intervention metadata disagree. The completion verdict therefore remains PASS on direct run evidence, while the run producer's provenance is not treated as a reliable independent-exploration attestation. - -All ten labels agree with the prior deterministic results. Coordinator spot-checks -of tasks 9, 15, 16 and 17 against original DOM and full-table database differences -found no substantive disagreement. The seven read-only -runs leave identical database bytes; the three stateful runs each have only the -requested single-row change. The task 9 selector failure was recovered. For tasks -15 and 16, visible years exclude the unvisited alternatives without requiring -extra navigation absent from the task. Task 17 adds exactly one review; its -pre-existing review is not a new duplicate. - -Together, the two reviews cover all twenty candidate task executions with **20 PASS / 0 FAIL**. These are judgments of the disclosed recorded runs. The input versions and reuse basis above remain explicit; no run is relabeled as having executed at a version it did not use. Source fidelity, owner visual acceptance, scorer-code correctness, runner-model provenance and empirical model difficulty are outside the blind-review conclusions. +Each of the 20 accepted tasks has one complete canonical UI run with actual actions, +step screenshots, DOM snapshots, a final answer and before/after database snapshots, +totaling 311 recorded steps. Executions were recorded on earlier reviewed versions and +are disclosed as such; none is relabeled as an execution at the fixed point: + +| Tasks | Code | HF revision | Seed SHA256 | +|---|---|---|---| +| 17 | r1 `ebe92f0` (commit plus recorded tracked patch) | `4d5709e` | `27558f13…` | +| 0, 2, 7, 9, 10, 12, 14, 15, 16 and 18–27 | r2 `50bcce5` | `e70f49d` | `69f849b9…` | + +Reuse basis for the fixed candidate: `tasks.jsonl` and the `sites/imdb/verify` tree are +byte-identical between the expansion freeze `3d9fc72` and `1c8a1eb`; the logical +contents of all ten business tables are identical between the r2 execution seed and the +current seed (the current seed only adds the `home_features` table); the r1 seed used by +task 17 differs only on two title-year corrections for titles that task never reads; +and the code changes after the freeze add the homepage, feature/collection/news/offline +routes and a cookie-session recently-viewed list without touching search, charts, +genre, name, watchlist, rating, review, login, register or logout handlers. The guided +replay above closes the navigation-reachability risk introduced by the new base template. + +The original ten runs contain 98 recorded steps and 80 successful substantive actions; +the ten expansion runs contain 219 recorded steps with no action or capture failure in +the selected runs. Task 18 preserves a one-step environment failure at an incorrect +viewport and task 21 an incomplete earlier attempt; neither is counted. Original run +files were never rewritten when scoring-format false negatives were fixed. Runners were +isolated from source, hidden answer keys and scoring outputs but retained their own +preceding UI context; runner models are self-declared in run metadata. These are not +fresh-context trials or an estimate of model success rate. +[Per-task results, paths and final screenshot excerpts](assets/pr33-imdb/tasks/task-table.md) +and the [structured record](assets/pr33-imdb/tasks/task-results.json) cover the original +ten; [public expansion counts](assets/pr33-imdb/task-expansion-summary.json) cover the +new ten. + +Deterministic grading: the final native regrade passes 10/10 retained original main +runs and 3/3 separately recorded guided alternatives (a different legal cutoff tie for +task 9, Watchlist row removal for 15, Most-recent review confirmation for 17); all 30 +applicable constructed cases (8 positive, 22 negative), seven historical controls and +one extra unit case match their prior expectations. The expansion runs pass 10/10 with +115/115 focused tests covering wrong owner, partial result, extra write, arbitrary +credential placeholder, incorrect grouping and field-binding negatives. The full IMDb +suite passes 307/307 on the fixed candidate. Fixtures are not browser runs and these +counts do not establish overall scorer accuracy. + +The real runs exposed false rejections of task 17's headline reference, task 0's rank +prefixes/runtime difference, task 12's group labels and task 16's correctly reported +previous rating, plus a missed nested Remove button locator. The repairs distinguish +those statements and controls without relaxing task requirements; wrong headline +suffixes, ranks, comparison differences, old/current ratings, entities and extra +database writes remain negative controls. + +Seven observed original paths used at least five successful substantive actions and +tasks 0, 12 and 14 perform comparisons; the expansion tasks add set, ratio and +multi-account reasoning over 11–35 steps each. Empirical frontier-model difficulty is +**NOT_VERIFIED**. + +## Independent blind review + +A formal blind review of the fixed candidate was completed on 2026-09-12 by Claude Code +with canonical model `claude-opus-5` (attested by the CLI usage record of the session, +which was fresh, non-persistent, restricted to read-only tools and had network tools +disabled). The input was a single neutral packet of 826 files covering all 20 canonical +runs (manifest SHA256 `09875b57a8c3f9092eae5f6f00fb619715dbecf5eeefd8f698ac2c5c5dc343fa`), +containing task text, answer-free rubric, trajectories, event/DOM evidence, screenshots, +final answers and before/after databases, and excluding verifier source/results, hidden +answers, coordinator conclusions, prior reviews, repository contents and PR discussion. +The reviewer verified 826/826 file hashes and returned **20 PASS / 0 FAIL**; the +structured result was hashed before it was read. Per-task bases and the reviewer's own +list of unexecuted checks are in +[`formal-blind-review-1c8a1eb-summary.json`](assets/pr33-imdb/formal-blind-review-1c8a1eb-summary.json); +the [PR comment](https://github.com/aiming-lab/WebHarbor/pull/89#issuecomment-5646790749) +records the same result. + +The reviewer explicitly did not certify source fidelity, deterministic verifier +correctness, runner independence or live replay, and spot-checked screenshots rather +than auditing every step image. Two earlier probe reviews (10/10 on 2026-09-08 for the +original ten and 10/10 on 2026-09-10 for the expansion ten; models session-declared) are +retained as history in +[`independent-review-summary.json`](assets/pr33-imdb/independent-review-summary.json) and +[`task-expansion-independent-review-summary.json`](assets/pr33-imdb/task-expansion-independent-review-summary.json). + +## Reconciliation + +Comparing the formal blind result with the deterministic results task by task found +**zero differences and zero substantive findings**; no task, rubric, verifier, seed or +application change resulted. Common-PASS spot checks of tasks 9, 15, 16 and 17 against +the frozen DOM and independently recomputed full-table database diffs confirmed the +exact single-row changes (one Watchlist deletion, one rating update, one review insert) +and unchanged state for the read-only run. Details are in +[`reconciliation-1c8a1eb-summary.json`](assets/pr33-imdb/reconciliation-1c8a1eb-summary.json). + +Two boundary rulings are retained: + +- **Task 19** is graded from the amounts the mirror displays, as its text requires: + `$30.1M / $52.0M` rounds to **57.9%**. Computing from hidden raw values would give + 57.8%; the unique maximum is unchanged. +- **Task 26** completed its registration, queue transfer, sign-out and re-login flow + with exactly one new user and two Watchlist rows, but its run-start and seal-time + metadata disagree (model label, prior-knowledge flag, runner identity wording, + human-intervention list, resumed-session note). The completion verdict stands on + direct run evidence; the run producer's provenance is not treated as a reliable + independent-exploration attestation. ## Reproduction @@ -271,8 +321,8 @@ docker run -d --name wh-review033-candidate \ -p 127.0.0.1:49000-49024:40000-40024 webharbor:review-imdb-pr33 ``` -IMDb is then available at `http://localhost:49024/`. Run engineering tests -with the image's pinned Flask dependencies: +IMDb is then available at `http://localhost:49024/`. Run engineering tests with the +image's pinned Flask dependencies: ```bash docker exec wh-review033-candidate \ @@ -287,10 +337,39 @@ uv run --project agent_demo python agent_demo/eval_judge.py \ --out /absolute/path/to/separate-scoring-result.json ``` -## Validation still required - -- Final source/before/after visual evidence and owner-approved regression - baseline, including explicit decisions on inherited content omissions. -- Maintainer handoff after the remaining visual acceptance; this PR stays Draft. - -Neither the code PR nor the HF PR should be merged by the reviewer. +## Known limitations + +- Canonical runs were recorded on r1/r2 code and assets; their reuse for the fixed + candidate rests on the identical task/verifier tree, logically identical business + tables and the guided change-impact replay, not on re-execution at `1c8a1eb`. +- Runner models are self-declared in run metadata; task 26's provenance metadata is + inconsistent (above). +- The blind review judged frozen execution completion only. +- The immutable check image was assembled from a verified dependency image rather than + rebuilt from the standard Dockerfile; the reproduction path above is the standard build. +- Empirical frontier-model difficulty is not measured. +- 689 profiles have cleared biography/birthplace/portrait fields awaiting sourced + replacements; the homepage snapshot notes list the remaining presentation gaps. +- The pinned HF revision is the open PR revision, not a main merge commit (see below). + +## Maintainer handoff + +**Directly mergeable now: no.** The code is mergeable against `main` (GitHub reports +MERGEABLE/CLEAN), but `.assets-revision` pins the open HF PR revision `f9ddfd25` +rather than a merged asset-main commit, and the project convention is to pin the HF +merge commit. Suggested order: + +1. Review and merge [HF PR #57](https://huggingface.co/datasets/ChilleD/WebHarbor/discussions/57). + It adds only `imdb.tar.gz` (LFS SHA256 `0663d30f…`) on top of asset main and reports + no conflicts; asset main currently contains two unrelated later archives. +2. Confirm the merged asset-main commit still serves `imdb.tar.gz` with SHA256 + `0663d30fe90ed2a0659dfe78ecf7ab1718970f565a64c6855a2c6aaadc606513` and seed SHA256 + `9d843c5388ecbc0d5265ac316cdaee915f8b203121b5a5330d207af5fb6206b0`. +3. Update `.assets-revision` on this branch to that merge commit (or confirm that + pinning the immutable PR revision is acceptable). Because the bytes are identical, + only `./scripts/fetch_assets.sh` plus the hash check above need to be repeated; no + task re-execution or new blind review is implied by a pin-only change. +4. Merge this PR, which supersedes #33, and close #33 and HF #23 with references so + the old seed is not reintroduced. + +The reviewer will not merge either the code PR or the HF PR. diff --git a/review-reports/assets/pr33-imdb/candidate-regression-1c8a1eb-summary.json b/review-reports/assets/pr33-imdb/candidate-regression-1c8a1eb-summary.json new file mode 100644 index 00000000..e2fd19f2 --- /dev/null +++ b/review-reports/assets/pr33-imdb/candidate-regression-1c8a1eb-summary.json @@ -0,0 +1,333 @@ +{ + "schema": "imdb-public-candidate-regression-summary/v1", + "created_at": "2026-09-12T03:33:22.081650Z", + "candidate": { + "code_sha": "1c8a1eba19c084e202ecbab5977280701b9068c2", + "working_tree_dirty": false, + "asset_revision": "f9ddfd2596229f2610418d57fc88c3051e1056bb", + "archive_sha256": "0663d30fe90ed2a0659dfe78ecf7ab1718970f565a64c6855a2c6aaadc606513", + "seed_sha256": "9d843c5388ecbc0d5265ac316cdaee915f8b203121b5a5330d207af5fb6206b0", + "task_file_sha256": "36214b6cf168c726d60e1ea0662ddfbfce6fa5dc77c804812460d1c38da545d8", + "image_id": "sha256:edf9bbbd019813665fc169e39174db70c11969dcf182260f04d8f81636802dad", + "image_basis": "Assembled from the previously verified shared dependency image plus the exact fixed code and the remotely downloaded HF archive; matching code/HF labels; no host mounts. Not a fresh standard-Dockerfile build (host lacked the 50 GiB headroom used for unknown-peak full rebuilds)." + }, + "purpose": "Impact-specific guided UI and deterministic-verifier revalidation on the immutable GitHub/HF round-4 candidate; historical independent runs remain immutable.", + "knowledge_limit": "Guided replay of prior successful paths by an implementation-informed operator; change-impact evidence only. Not independent exploration, not canonical trajectory credit, not a blind review.", + "mechanical": { + "sites_http_200": "25/25 before and after the task regression", + "control_plane_ready": "25/25", + "imdb_reset": "runtime SHA256 equals seed SHA256 after dirty reset", + "reset_all_seconds": 5.35, + "imdb_unittest": { + "passed": 307, + "failed": 0, + "seconds": 21.763 + } + }, + "guided_impact": { + "viewport": { + "width": 1440, + "height": 900 + }, + "tasks_expected": 20, + "tasks_completed": 20, + "ui_passed": 20, + "verifiers_passed": 20, + "recorded_steps": 311, + "read_only_tasks_unchanged": 13, + "write_tasks_with_delta": 7, + "resets_restored_seed": 20, + "tasks": [ + { + "task_id": "IMDb--0", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 5, + "read_only_database_unchanged": true, + "after_db_sha256": "9d843c5388ecbc0d5265ac316cdaee915f8b203121b5a5330d207af5fb6206b0", + "reset_restored_seed": true, + "final_url_path": "/title/tt0468569" + }, + { + "task_id": "IMDb--2", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 6, + "read_only_database_unchanged": true, + "after_db_sha256": "9d843c5388ecbc0d5265ac316cdaee915f8b203121b5a5330d207af5fb6206b0", + "reset_restored_seed": true, + "final_url_path": "/title/tt4154796#title-details" + }, + { + "task_id": "IMDb--7", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 5, + "read_only_database_unchanged": true, + "after_db_sha256": "9d843c5388ecbc0d5265ac316cdaee915f8b203121b5a5330d207af5fb6206b0", + "reset_restored_seed": true, + "final_url_path": "/name/nm0634240" + }, + { + "task_id": "IMDb--9", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 9, + "read_only_database_unchanged": true, + "after_db_sha256": "9d843c5388ecbc0d5265ac316cdaee915f8b203121b5a5330d207af5fb6206b0", + "reset_restored_seed": true, + "final_url_path": "/search/title?title_type=movie&year_from=&year_to=&rating_min=8.5&genre=drama&sort=rating" + }, + { + "task_id": "IMDb--10", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 15, + "read_only_database_unchanged": true, + "after_db_sha256": "9d843c5388ecbc0d5265ac316cdaee915f8b203121b5a5330d207af5fb6206b0", + "reset_restored_seed": true, + "final_url_path": "/title/tt0110912#title-details" + }, + { + "task_id": "IMDb--12", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 11, + "read_only_database_unchanged": true, + "after_db_sha256": "9d843c5388ecbc0d5265ac316cdaee915f8b203121b5a5330d207af5fb6206b0", + "reset_restored_seed": true, + "final_url_path": "/search/title?title_type=tvSeries&year_from=&year_to=&rating_min=&genre=crime&sort=rating" + }, + { + "task_id": "IMDb--14", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 7, + "read_only_database_unchanged": true, + "after_db_sha256": "9d843c5388ecbc0d5265ac316cdaee915f8b203121b5a5330d207af5fb6206b0", + "reset_restored_seed": true, + "final_url_path": "/title/tt1375666#title-details" + }, + { + "task_id": "IMDb--15", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 14, + "read_only_database_unchanged": false, + "after_db_sha256": "9b67a45ebb28a7cc7d745c371949d6a337de3b9e739b9b238548d7d42a72773a", + "reset_restored_seed": true, + "final_url_path": "/list/watchlist" + }, + { + "task_id": "IMDb--16", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 11, + "read_only_database_unchanged": false, + "after_db_sha256": "b3004d7ffb8fb91f57a497facb29f10ad7aede480a95338716d71b9a83cf12a1", + "reset_restored_seed": true, + "final_url_path": "/list/ratings" + }, + { + "task_id": "IMDb--17", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 14, + "read_only_database_unchanged": false, + "after_db_sha256": "001d8c5007a7f5539483a5cd96ce20b9e326c528d078fba91e6c43051803adcf", + "reset_restored_seed": true, + "final_url_path": "/title/tt0816692/reviews" + }, + { + "task_id": "IMDb--18", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 13, + "read_only_database_unchanged": true, + "after_db_sha256": "9d843c5388ecbc0d5265ac316cdaee915f8b203121b5a5330d207af5fb6206b0", + "reset_restored_seed": true, + "final_url_path": "/search/title?title_type=movie&year_from=&year_to=2010&rating_min=&genre=animation&sort=rating" + }, + { + "task_id": "IMDb--19", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 11, + "read_only_database_unchanged": true, + "after_db_sha256": "9d843c5388ecbc0d5265ac316cdaee915f8b203121b5a5330d207af5fb6206b0", + "reset_restored_seed": true, + "final_url_path": "/name/nm0000158" + }, + { + "task_id": "IMDb--20", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 16, + "read_only_database_unchanged": true, + "after_db_sha256": "9d843c5388ecbc0d5265ac316cdaee915f8b203121b5a5330d207af5fb6206b0", + "reset_restored_seed": true, + "final_url_path": "/name/nm0000138" + }, + { + "task_id": "IMDb--21", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 29, + "read_only_database_unchanged": true, + "after_db_sha256": "9d843c5388ecbc0d5265ac316cdaee915f8b203121b5a5330d207af5fb6206b0", + "reset_restored_seed": true, + "final_url_path": "/title/tt0120737" + }, + { + "task_id": "IMDb--22", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 35, + "read_only_database_unchanged": true, + "after_db_sha256": "9d843c5388ecbc0d5265ac316cdaee915f8b203121b5a5330d207af5fb6206b0", + "reset_restored_seed": true, + "final_url_path": "/title/tt0816692/reviews" + }, + { + "task_id": "IMDb--23", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 15, + "read_only_database_unchanged": true, + "after_db_sha256": "9d843c5388ecbc0d5265ac316cdaee915f8b203121b5a5330d207af5fb6206b0", + "reset_restored_seed": true, + "final_url_path": "/title/tt0109830" + }, + { + "task_id": "IMDb--24", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 20, + "read_only_database_unchanged": false, + "after_db_sha256": "de4c922c62a6ba52998c462413e15b3fd3bb012a5b2ca60b9e6b88f3152cd31e", + "reset_restored_seed": true, + "final_url_path": "/list/watchlist" + }, + { + "task_id": "IMDb--25", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 23, + "read_only_database_unchanged": false, + "after_db_sha256": "b2d1d26492932204aee9b6448ab0de40fb21bc23762e0f627b9829e352ae6000", + "reset_restored_seed": true, + "final_url_path": "/list/watchlist" + }, + { + "task_id": "IMDb--26", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 30, + "read_only_database_unchanged": false, + "after_db_sha256": "f65994272415143b0f2ea7c91d1cffeefce9d8fa1e0ea03143dd825a65f5a9f1", + "reset_restored_seed": true, + "final_url_path": "/list/watchlist" + }, + { + "task_id": "IMDb--27", + "status": "PASS", + "ui_pass": true, + "verifier_pass": true, + "steps": 22, + "read_only_database_unchanged": false, + "after_db_sha256": "e4b1cab41b9673cfdf9aaf3890f6ae79036a0240c2b1d0d4b759dbd7e6324542", + "reset_restored_seed": true, + "final_url_path": "/list/ratings" + } + ] + }, + "browser": { + "created_at": "2026-09-12T03:30:11.492651Z", + "result": "PASS", + "source_basis": { + "url": "https://www.imdb.com/most-anticipated/this-month/", + "fresh_capture": false, + "reason": "Anonymous Chromium receives IMDb 403; source fields and Owner acceptance were frozen before publication." + }, + "viewports": { + "desktop-1440": { + "viewport": { + "width": 1440, + "height": 900 + }, + "homepage": { + "status": 200, + "overflow": false, + "images": 210, + "images_loaded": 115 + }, + "feature": { + "status": 200, + "items": 17, + "images": 20, + "overflow": false + }, + "detail_routes": 17, + "detail_routes_200": 17, + "detail_overflow": false + }, + "mobile-390": { + "viewport": { + "width": 390, + "height": 844 + }, + "homepage": { + "status": 200, + "overflow": false, + "images": 210, + "images_loaded": 94 + }, + "feature": { + "status": 200, + "items": 17, + "images": 20, + "overflow": false + }, + "detail_routes": 17, + "detail_routes_200": 17, + "detail_overflow": false + } + }, + "source_full_page_png_sha256": { + "desktop-1440": { + "homepage": "6a91b1fefb050e7dfd8a12cc97b10b88c73205b1d5d44cea368f5458e91b2389", + "feature": "134b6ed21eadaff2f9e335cb6e1051127c48ae71b55e0114d3e892d211296492" + }, + "mobile-390": { + "homepage": "1840334d1fcae789b7ab0feaefd0f4b78c73e05689e3531d3d3466ba7455eecd", + "feature": "936dbf30557356fd32fcc754b8c3638a8b036693afdaa2c58d01defeb21f6611" + } + }, + "public_screenshots": [ + "round4-home-1440.jpg", + "round4-feature-1440.jpg", + "round4-home-390.jpg", + "round4-feature-detail-1440.jpg" + ] + }, + "owner_visual_acceptance": "ACCEPTED_2026-09-12 (Owner compared the expanded homepage/feature result with live IMDb)" +} diff --git a/review-reports/assets/pr33-imdb/evidence.json b/review-reports/assets/pr33-imdb/evidence.json index 8d081dad..dbe3662b 100644 --- a/review-reports/assets/pr33-imdb/evidence.json +++ b/review-reports/assets/pr33-imdb/evidence.json @@ -61,5 +61,41 @@ "date": "2026-09-08", "code_sha": "50bcce503637522d15bdafa533381204750f415f", "asset_revision": "e70f49d8b6d0f32c940688e8e53e7c558f57a788" + }, + "round4-home-1440.jpg": { + "sha256": "e01ed704fac5781702dbee016db06cf3319afb2530cbac96495893780916f0e9", + "evidence_purpose": "current candidate homepage, top 1500px of the 1440x900-viewport full-page capture, downscaled to 1200px wide", + "source_url": "local IMDb mirror (immutable candidate image)", + "date": "2026-09-12", + "code_sha": "1c8a1eba19c084e202ecbab5977280701b9068c2", + "asset_revision": "f9ddfd2596229f2610418d57fc88c3051e1056bb", + "note": "Chromium capture on the fixed candidate; derived from the full-page PNG whose SHA256 is recorded in candidate-regression-1c8a1eb-summary.json. Owner accepted the expanded result after comparing with live IMDb; anonymous headless capture of the live source returned 403, so no new source screenshot is included." + }, + "round4-feature-1440.jpg": { + "sha256": "c38b3ef60c800db5cc145a3302b0db2f00fb7c112e6a489aeed1f6e0a2096251", + "evidence_purpose": "current candidate /feature/featured-today-1, top 1500px of the 1440-wide full-page capture, downscaled to 1200px wide", + "source_url": "local IMDb mirror (immutable candidate image)", + "date": "2026-09-12", + "code_sha": "1c8a1eba19c084e202ecbab5977280701b9068c2", + "asset_revision": "f9ddfd2596229f2610418d57fc88c3051e1056bb", + "note": "Chromium capture on the fixed candidate; derived from the full-page PNG whose SHA256 is recorded in candidate-regression-1c8a1eb-summary.json. Owner accepted the expanded result after comparing with live IMDb; anonymous headless capture of the live source returned 403, so no new source screenshot is included." + }, + "round4-home-390.jpg": { + "sha256": "f3cc74b1d73a13c979986664f38e6290dc1a3ecfd793d3275911569c25796823", + "evidence_purpose": "current candidate homepage at 390px width, top 1600px of the full-page capture", + "source_url": "local IMDb mirror (immutable candidate image)", + "date": "2026-09-12", + "code_sha": "1c8a1eba19c084e202ecbab5977280701b9068c2", + "asset_revision": "f9ddfd2596229f2610418d57fc88c3051e1056bb", + "note": "Chromium capture on the fixed candidate; derived from the full-page PNG whose SHA256 is recorded in candidate-regression-1c8a1eb-summary.json. Owner accepted the expanded result after comparing with live IMDb; anonymous headless capture of the live source returned 403, so no new source screenshot is included." + }, + "round4-feature-detail-1440.jpg": { + "sha256": "9b4321bb67dbafb94e6ec3f798d987f6fc7c74daf244daa5fe81b5807a879925", + "evidence_purpose": "current candidate feature detail route (first entry), top 900px at 1440 width, downscaled to 1200px wide", + "source_url": "local IMDb mirror (immutable candidate image)", + "date": "2026-09-12", + "code_sha": "1c8a1eba19c084e202ecbab5977280701b9068c2", + "asset_revision": "f9ddfd2596229f2610418d57fc88c3051e1056bb", + "note": "Chromium capture on the fixed candidate; derived from the full-page PNG whose SHA256 is recorded in candidate-regression-1c8a1eb-summary.json. Owner accepted the expanded result after comparing with live IMDb; anonymous headless capture of the live source returned 403, so no new source screenshot is included." } } diff --git a/review-reports/assets/pr33-imdb/formal-blind-review-1c8a1eb-summary.json b/review-reports/assets/pr33-imdb/formal-blind-review-1c8a1eb-summary.json new file mode 100644 index 00000000..047a10dc --- /dev/null +++ b/review-reports/assets/pr33-imdb/formal-blind-review-1c8a1eb-summary.json @@ -0,0 +1,197 @@ +{ + "schema": "imdb-public-formal-blind-review-summary/v1", + "completed_at": "2026-09-12T15:20:29Z", + "reviewer": { + "harness": "Claude Code CLI, fresh non-persistent session restricted to Read and read-only Bash; network tools disabled (web search/fetch requests: 0)", + "model": "claude-opus-5", + "model_provenance": "canonicalModel reported in the Claude CLI usage record of the same session (not only a self-declaration)", + "session_id": "89bbcff5-1861-4acc-a25a-50f4818223f6", + "num_turns": 79, + "permission_denials": 0 + }, + "target": { + "code_sha": "1c8a1eba19c084e202ecbab5977280701b9068c2", + "asset_revision": "f9ddfd2596229f2610418d57fc88c3051e1056bb", + "archive_sha256": "0663d30fe90ed2a0659dfe78ecf7ab1718970f565a64c6855a2c6aaadc606513", + "seed_sha256": "9d843c5388ecbc0d5265ac316cdaee915f8b203121b5a5330d207af5fb6206b0", + "task_file_sha256": "36214b6cf168c726d60e1ea0662ddfbfce6fa5dc77c804812460d1c38da545d8" + }, + "input": { + "manifest_sha256": "09875b57a8c3f9092eae5f6f00fb619715dbecf5eeefd8f698ac2c5c5dc343fa", + "files": 826, + "hash_mismatches": [], + "tasks": 20, + "source_packets": [ + { + "packet": "imdb-blind-review-24af75e31259", + "manifest_sha256": "60b1c9420a886fd028128dfe087cb375c587e5de2f0ea753e96fea2b0b705951", + "task_ids": [ + "IMDb--0", + "IMDb--2", + "IMDb--7", + "IMDb--9", + "IMDb--10", + "IMDb--12", + "IMDb--14", + "IMDb--15", + "IMDb--16", + "IMDb--17" + ] + }, + { + "packet": "imdb-expansion-blind-review-3d9fc7205c55", + "manifest_sha256": "f609c60f5229c0f91d75bbdea3dd2ff29ce8e82d6534cc9cfb7f0ac9183dbfdd", + "task_ids": [ + "IMDb--18", + "IMDb--19", + "IMDb--20", + "IMDb--21", + "IMDb--22", + "IMDb--23", + "IMDb--24", + "IMDb--25", + "IMDb--26", + "IMDb--27" + ] + } + ], + "excluded": [ + "deterministic verifier source and verdicts", + "hidden or expected answers", + "coordinator/Codex task verdicts and reconciliation conclusions", + "prior Claude reviews", + "repository contents and PR discussion" + ], + "review_scope": "Judge whether each frozen execution completes its supplied task. Do not certify current source fidelity, verifier correctness, or runner independence." + }, + "result": { + "packet_status": "VALID", + "pass": 20, + "fail": 0, + "structured_result_sha256": "6bbb06ae20ebb6a1441c4767e7c07ab4ba758f6a63c3ce1a21a3cdc5023c23c6", + "raw_response_sha256": "f9004bb9d63989cdb8e3c323dfb1ac813a1acf7dda0c96ab5a7ad2880c958164", + "hashed_before_verdicts_were_read": true + }, + "verdicts": [ + { + "task_id": "IMDb--0", + "verdict": "PASS", + "basis": "Chart opened from homepage; rank #1 and #3 both visited and both runtime/MPAA pairs correctly bound to their films, with the longer-runtime comparison correct. Read-only task and before.db/after.db are byte-identical." + }, + { + "task_id": "IMDb--2", + "verdict": "PASS", + "basis": "The run opened the catalog Domestic box office chart (explicitly ranked by cumulative US & Canada gross), identified its #1 title, and read that same title's Budget from its detail page. State unchanged." + }, + { + "task_id": "IMDb--7", + "verdict": "PASS", + "basis": "Correct person profile reached; the Director section (9 credits) was read as the candidate set, and ratings for every one of those credits were visible on the on-site search-results listing the run had already observed. The Dark Knight at 9.1 is the unique maximum." + }, + { + "task_id": "IMDb--9", + "verdict": "PASS", + "basis": "All four required Advanced-search controls were submitted and are visible as applied on the results page. The three reported titles retain both titles above the third-place 9.0 cutoff and pick one of the 9.0-tied titles, which the task explicitly permits." + }, + { + "task_id": "IMDb--10", + "verdict": "PASS", + "basis": "All constraints submitted with inclusive year bounds (1990 and 1999 results both present). Both 8.8-tied top results were opened and their directors and worldwide grosses read and correctly bound." + }, + { + "task_id": "IMDb--12", + "verdict": "PASS", + "basis": "Crime genre page was visited, and on-site Advanced-search type filters were used to separate the movie and TV-series groups (rubric permits this). Godfather 9.2 is the unique top Crime movie and Breaking Bad 9.5 the unique top Crime series; the 0.3 comparison is correct." + }, + { + "task_id": "IMDb--14", + "verdict": "PASS", + "basis": "Both named films were opened on the local mirror and each displayed rating and worldwide gross is correctly bound; both comparisons stated correctly with no false tie." + }, + { + "task_id": "IMDb--15", + "verdict": "PASS", + "basis": "Selection rule applied correctly against Bob's initial Watchlist: the only earlier-year entries (The Office 2005, Breaking Bad 2008) were checked and are not Sci-Fi/Fantasy, making Game of Thrones (2011, Fantasy) the earliest qualifying series. Exactly one watchlist row was deleted and absence was confirmed." + }, + { + "task_id": "IMDb--16", + "verdict": "PASS", + "basis": "Carol's initial Watchlist Crime movies were read; Fight Club (1999) is the most recently released and its initial personal rating was 9 (not 8), so it is the correct selection. Exactly one rating row was updated and confirmed on My ratings." + }, + { + "task_id": "IMDb--17", + "verdict": "PASS", + "basis": "Signed in as the specified account, posted exactly one review on Interstellar with the exact requested headline, review rating 10 and a nonempty body, then confirmed it on the movie's reviews page. No other business state changed." + }, + { + "task_id": "IMDb--18", + "verdict": "PASS", + "basis": "The complete 7-movie Animation/≤2010 candidate set was enumerated by on-site Advanced search with displayed ratings and runtimes; the run checked the three top-rated films' MPAA classifications, correctly excluded Grave of the Fireflies as Not Rated, and reported the unique optimum (16.9 sum, 186 min). No other pair can reach 16.9 given the displayed ratings, so the no-ties claim holds." + }, + { + "task_id": "IMDb--19", + "verdict": "PASS", + "basis": "Both credit lists were read from the correct profiles and the shared set is exactly the two reported films. Budget and Opening weekend US & Canada were read from each film's own detail page and both percentages round correctly to one decimal." + }, + { + "task_id": "IMDb--20", + "verdict": "PASS", + "basis": "All six movies in the mirror's DiCaprio Actor filmography are covered, each row's two displayed grosses were read from that film's own page, and every recomputed percentage matches the answer; the unique maximum is correctly identified." + }, + { + "task_id": "IMDb--21", + "verdict": "PASS", + "basis": "Each account's own ratings and Watchlist were read while signed in as that account, with no cross-account mixing; the per-account differences are exactly the four reported films, and each director and runtime is bound to the right title. No state changed." + }, + { + "task_id": "IMDb--22", + "verdict": "PASS", + "basis": "The deduplicated union of Alice's Watchlist and ratings is six movies, and the reviews page of each was inspected. Exactly one within-movie identical-headline group by different authors exists, reported with correct title/year/headline and author-bound score, date and helpful count." + }, + { + "task_id": "IMDb--23", + "verdict": "PASS", + "basis": "Every movie in the mirror's Tom Hanks Actor filmography was opened and its displayed Release date recorded; the chronological ordering and all consecutive gaps check out, and both 504-day pairs are reported." + }, + { + "task_id": "IMDb--24", + "verdict": "PASS", + "basis": "All specified filters were submitted with inclusive year bounds, David's initial Watchlist was read first, and exactly the two missing qualifying movies (runtime ≤120m) were added under his account; 121m Star Wars IV was correctly excluded. Existing entries preserved and additions confirmed on the Watchlist." + }, + { + "task_id": "IMDb--25", + "verdict": "PASS", + "basis": "Bob's ratings were read under his own login, Breaking Bad was confirmed a TV Series on its detail page and excluded, and exactly the one missing qualifying movie was added to David's Watchlist after a proper sign-out/sign-in. The already-saved recommendation is correctly identified and the destination list verified." + }, + { + "task_id": "IMDb--26", + "verdict": "PASS", + "basis": "The queue was derived correctly from Alice's initial Watchlist minus her personally rated titles, exactly one new account with the requested name and email was created, the two derived movies were saved to it, and a real sign-out followed by a successful re-login demonstrated persistence. Alice's data and all other rows are untouched." + }, + { + "task_id": "IMDb--27", + "verdict": "PASS", + "basis": "The two unrated Watchlist movies were distinguished and their reviews checked; only Interstellar has a scored review attributed to Alice (10/10), which was used as the rating source. Exactly one personal-rating row was inserted with that score, no review was created or altered, and My ratings was verified." + } + ], + "unexecuted_checks": [ + "Source fidelity was not certified: this pass did not verify that the frozen runs correspond to the current candidate code_sha 1c8a1eba19c084e202ecbab5977280701b9068c2 or asset_revision f9ddfd2596229f2610418d57fc88c3051e1056bb, nor that the mirror's catalog data matches upstream IMDb. Recorded executions carry different code_sha/asset_revision values (per execution-environment.json), and that divergence was neither investigated nor cleared.", + "Deterministic verifier correctness was not assessed: no verifier source, verdicts, expected answers, or hidden rubrics were read or executed, so these judgments are independent readings of task text plus run evidence and do not confirm or contradict any programmatic checker.", + "Runner independence was not evaluated: the claims in run-metadata.json (runner identity, 'no prior answer knowledge', guidance, human_interventions) were taken as unverified recorded metadata, and no check was made that the agent executed without answer leakage or outside assistance.", + "No repository files, Git history, PR discussion, coordinator conclusions, or prior reviews were consulted, and no network access was used; review inputs were limited to manifest.json and its 826 enumerated files.", + "Screenshot authenticity and pixel-level DOM/screenshot agreement were not exhaustively audited; screenshots were spot-checked (IMDb--17, IMDb--26) rather than reviewed for every step of every run.", + "Reproduction was not attempted: no run was re-executed against a live mirror, so timing, flakiness, and non-determinism in the frozen trajectories remain unexamined." + ], + "public_comment": "https://github.com/aiming-lab/WebHarbor/pull/89#issuecomment-5646790749", + "execution_versions_disclosed_to_reviewer": { + "IMDb--17": { + "code_sha": "ebe92f0888c5cf888fa40bd46f5b535ad01faa57", + "asset_revision": "4d5709e171d7c40fc742727adfa98b04b9023039" + }, + "all_other_tasks": { + "code_sha": "50bcce503637522d15bdafa533381204750f415f", + "asset_revision": "e70f49d8b6d0f32c940688e8e53e7c558f57a788" + } + }, + "limits": "Execution-completion judgment of frozen runs only; source fidelity, deterministic verifier correctness, runner independence and live replay were not assessed." +} diff --git a/review-reports/assets/pr33-imdb/independent-review-summary.json b/review-reports/assets/pr33-imdb/independent-review-summary.json index 46ab2c7c..de7ec27b 100644 --- a/review-reports/assets/pr33-imdb/independent-review-summary.json +++ b/review-reports/assets/pr33-imdb/independent-review-summary.json @@ -1,4 +1,5 @@ { + "status_update_2026-09-12": "Historical probe summary. Owner visual acceptance was recorded on 2026-09-12 and a formal 20-task blind review of the fixed candidate (formal-blind-review-1c8a1eb-summary.json) plus reconciliation (reconciliation-1c8a1eb-summary.json) supersede the pending statements below.", "schema": "imdb-public-independent-review-summary/v1", "reviewed_at": "2026-09-08T06:10:37Z", "received_result_sha256": "adaba6206131a83cde4d583537bfa4377fad039df30179de374a7153b42b9244", diff --git a/review-reports/assets/pr33-imdb/reconciliation-1c8a1eb-summary.json b/review-reports/assets/pr33-imdb/reconciliation-1c8a1eb-summary.json new file mode 100644 index 00000000..ad337278 --- /dev/null +++ b/review-reports/assets/pr33-imdb/reconciliation-1c8a1eb-summary.json @@ -0,0 +1,213 @@ +{ + "schema": "imdb-public-reconciliation-summary/v1", + "reconciled_at": "2026-09-12T15:40:00Z", + "target": { + "code_sha": "1c8a1eba19c084e202ecbab5977280701b9068c2", + "asset_revision": "f9ddfd2596229f2610418d57fc88c3051e1056bb" + }, + "inputs": { + "blind_review_result_sha256": "6bbb06ae20ebb6a1441c4767e7c07ab4ba758f6a63c3ce1a21a3cdc5023c23c6", + "blind_review_manifest_sha256": "09875b57a8c3f9092eae5f6f00fb619715dbecf5eeefd8f698ac2c5c5dc343fa" + }, + "tasks_compared": 20, + "verdict_differences": 0, + "substantive_findings": 0, + "comparison": [ + { + "task_id": "IMDb--0", + "execution_version": "r2 (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--2", + "execution_version": "r2 (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--7", + "execution_version": "r2 (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--9", + "execution_version": "r2 (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--10", + "execution_version": "r2 (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--12", + "execution_version": "r2 (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--14", + "execution_version": "r2 (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--15", + "execution_version": "r2 (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--16", + "execution_version": "r2 (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--17", + "execution_version": "r1 (ebe92f0 / HF 4d5709e)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--18", + "execution_version": "r2 expansion (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--19", + "execution_version": "r2 expansion (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--20", + "execution_version": "r2 expansion (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--21", + "execution_version": "r2 expansion (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--22", + "execution_version": "r2 expansion (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--23", + "execution_version": "r2 expansion (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--24", + "execution_version": "r2 expansion (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--25", + "execution_version": "r2 expansion (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--26", + "execution_version": "r2 expansion (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + }, + { + "task_id": "IMDb--27", + "execution_version": "r2 expansion (50bcce5 / HF e70f49d)", + "deterministic_verifier_on_canonical_run": "PASS", + "deterministic_verifier_on_guided_replay_at_1c8a1eb": "PASS", + "independent_blind_review_2026_09_12": "PASS", + "difference": null + } + ], + "common_pass_spot_checks": { + "method": "Read-only inspection of the frozen run packet after the blind result was hashed: task text, final answer, step DOM snapshots, run metadata and independently recomputed full-table logical row diffs of before/after SQLite snapshots. Coordinator reconciliation, not a second blind review.", + "IMDb--9": "Filters Movie/Drama/rating>=8.5/sort by rating applied; 42 results; answer keeps both above-cutoff titles plus one 9.0 tie; before/after DB identical.", + "IMDb--15": "Only watchlist_items row (user 2, Game of Thrones) removed; detail shows TV Series 2011 with Fantasy genre; final Watchlist excludes it.", + "IMDb--16": "Only user_ratings row (user 3, Fight Club) changed 9 -> 8; Fight Club 1999 is the latest Crime title in Carol's Watchlist; My ratings shows 8/10.", + "IMDb--17": "Exactly one review row added (Interstellar, user 1, rating 10, exact headline, non-empty body); pre-existing Alice review unchanged; reviews page shows the new review. r1 seed differs from current only on two unrelated title years.", + "IMDb--19": "Intersection is Catch Me If You Can and Saving Private Ryan; displayed Budget/Opening pairs $52.0M/$30.1M and $70.0M/$30.6M; displayed-value percentages 57.9% and 43.7%; raw stored values give 57.8% and 43.7% with the same maximum; DB unchanged.", + "IMDb--26": "Exactly one user (weekend.viewer@test.com) and two watchlist rows for that user added; no ratings/reviews; real Sign Out (\"Signed out.\") then successful re-login (\"Welcome back, Weekend Viewer.\") and Watchlist shows Interstellar and Parasite." + }, + "rulings": { + "IMDb--19": "Graded from the amounts displayed by the mirror as the task text requires: 30.1M / 52.0M = 57.9%. Hidden raw values would yield 57.8%; the unique maximum is unchanged either way.", + "IMDb--26": "Completion PASS is supported by same-run actions, DOM and the exact database delta. The run's run-start and seal-time metadata disagree (model label, prior-knowledge flag, runner identity wording, human-intervention list, tab id, resumed-session note), so this run is not represented as a reliably attested independent exploration." + }, + "version_reuse": { + "tasks_and_verifiers": "sites/imdb/tasks.jsonl (SHA256 36214b6cf168c726d60e1ea0662ddfbfce6fa5dc77c804812460d1c38da545d8) and the sites/imdb/verify tree are byte-identical between the expansion freeze 3d9fc7205c55e7403c8cc8637675649710820b48 and 1c8a1eba19c084e202ecbab5977280701b9068c2.", + "seed_data": "Logical (sorted-row) hashes of all ten business tables match between the r2 execution seed and the current seed; the current seed only adds the separate home_features table (219 rows). The r1 seed used by IMDb--17 differs only on two title-year corrections for titles that task never reads.", + "application": "Changes after the freeze add the sourced homepage, feature/collection/news/offline routes and a cookie-session recently-viewed list; search, advanced search, charts, genre, name, watchlist, rating, review, login, register and logout handlers are unchanged.", + "change_impact_check": "Guided replay of all 20 task paths on the immutable candidate image: 20/20 UI, 20/20 deterministic verifier, 311 steps, 13 read-only databases unchanged, 7 expected write deltas, 20/20 resets restoring the seed.", + "conclusion": "The 20 recorded canonical executions remain valid evidence for this candidate with their original r1/r2 identities disclosed; they are not relabeled as executions at 1c8a1eb, and the guided replay is not canonical credit or a new blind review." + }, + "historical_reviews": [ + { + "date": "2026-09-08", + "tasks": "0,2,7,9,10,12,14,15,16,17", + "result": 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