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tasks/petfinder/solution/site/README.md

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+# Private oracle implementation
+
+The implementation is a deterministic projection of the current material clone and is copied only into the privileged oracle solution.

tasks/petfinder/solution/site/implementation/backend/runtime.json

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+{
+  "database": {
+    "data_dir": "runtime-data",
+    "engine": "sqlite",
+    "filename": "petfinder.sqlite3",
+    "legacy_unbound_migration": false,
+    "migration_hook": "backend.db:apply_site_backend_migrations",
+    "seed_hook": "backend.db:seed_site_backend",
+    "volume_identity": "websitebench-petfinder-data"
+  },
+  "deployment": {
+    "profiles": {
+      "cloudflare-review": {
+        "mail_adapter": "redis-resend",
+        "payment_adapter": "local-sandbox",
+        "persistence": "ephemeral-reset"
+      },
+      "docker-volume": {
+        "mail_adapter": "effects-gateway",
+        "payment_adapter": "stripe-test",
+        "persistence": "persistent-volume"
+      },
+      "offline-harbor": {
+        "mail_adapter": "local-outbox",
+        "payment_adapter": "local-sandbox",
+        "persistence": "persistent"
+      }
+    }
+  },
+  "mail": {
+    "enabled": true,
+    "purposes": {
+      "password-reset": {
+        "body": "Your password reset code is ${code}.",
+        "expiry": "This code expires in ${minutes} minutes.",
+        "footer": "Ignore this message if you did not contact petfinder offline clone.",
+        "lead": "A password reset was requested for petfinder offline clone.",
+        "required_variables": [
+          "code",
+          "minutes"
+        ],
+        "secret_variables": [
+          "code"
+        ],
+        "subject": "Reset your petfinder offline clone password",
+        "template_id": "petfinder.password-reset.v1"
+      },
+      "registration": {
+        "body": "Your verification code is ${code}.",
+        "expiry": "This code expires in ${minutes} minutes.",
+        "footer": "This code is only for petfinder offline clone.",
+        "lead": "Finish creating your petfinder offline clone account.",
+        "required_variables": [
+          "code",
+          "minutes"
+        ],
+        "secret_variables": [
+          "code"
+        ],
+        "subject": "Verify your petfinder offline clone account",
+        "template_id": "petfinder.registration.v1"
+      },
+      "support-receipt": {
+        "body": "Receipt ${receipt_id} records a test-only support payment of ${total}.",
+        "expiry": "No real donation, payment, or tax-deductible contribution occurred.",
+        "footer": "This simulated receipt does not benefit Petfinder or any shelter or rescue.",
+        "lead": "Your Petfinder offline clone support payment was recorded in sandbox mode.",
+        "required_variables": [
+          "receipt_id",
+          "total"
+        ],
+        "secret_variables": [],
+        "subject": "Petfinder offline clone support receipt ${receipt_id}",
+        "template_id": "petfinder.support-receipt.v1"
+      }
+    },
+    "sender": {
+      "address_env": "RESEND_FROM_EMAIL",
+      "display_name": "petfinder offline clone"
+    }
+  },
+  "payments": {
+    "currency": "USD",
+    "default_adapter": "local-sandbox",
+    "enabled": true,
+    "local_sandbox": {
+      "scenarios": [
+        {
+          "display_label": "Simulated approval",
+          "id": "sandbox-approved",
+          "outcome": "approved"
+        },
+        {
+          "display_label": "Simulated decline",
+          "id": "sandbox-declined",
+          "outcome": "declined"
+        },
+        {
+          "display_label": "Simulated retry",
+          "id": "sandbox-retry",
+          "outcome": "retryable"
+        }
+      ]
+    },
+    "stripe_test": {
+      "max_line_items": 1,
+      "public_origin": "https://petfinder.website-bench.com",
+      "return_path": "/support/stripe-return",
+      "secret_key_env": "PETFINDER_STRIPE_TEST_SECRET_KEY",
+      "webhook_path": "/api/stripe/webhook",
+      "webhook_secret_env": "PETFINDER_STRIPE_TEST_WEBHOOK_SECRET"
+    }
+  },
+  "schema_version": "websitebench.site-backend-runtime.v1",
+  "session": {
+    "host_only": true,
+    "http_only": true,
+    "same_site": "Lax",
+    "secure": true
+  },
+  "site": {
+    "id": "petfinder",
+    "label": "petfinder offline clone",
+    "public_origin": "https://petfinder.website-bench.com"
+  }
+}

tasks/petfinder/solution/site/implementation/clone/backend/__init__.py

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+"""Persistent backend package for the Petfinder offline clone (R3 stage).
+
+SQLite (WAL) persistence with an explicit, ordered migration history and a
+deterministic benchmark-owned seed.  The database lives under
+the generated WebsiteBench runtime contract (always outside clone/).
+"""

tasks/petfinder/solution/site/implementation/clone/backend/db.py

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+"""SQLite persistence for the Petfinder offline clone (R3 persistent backend).
+
+Contract:
+- sqlite3 in WAL mode; the database file is selected exclusively by the
+  WebsiteBench site-backend runtime contract and always lives outside clone/.
+- An ordered, copy-only migration history recorded in ``schema_migrations``.
+- A deterministic benchmark-owned seed: the 24 frozen animals from the
+  2026-07-25 capture (12 dogs @10001, 12 cats @90210, exact frozen order),
+  one intentionally stale animal, five shelters, and the two synthetic
+  fixture accounts (alex-green, jordan-reyes).
+- The server owns animal, shelter, account, favorite, adopter profile, and
+  inquiry records.  Nothing here contacts production Petfinder.
+
+Every function resolves the database selected by the active site-backend
+runtime, including its validated deployment override, at call time.
+"""
+
+from __future__ import annotations
+
+import math
+import hashlib
+import json
+import os
+import re
+import secrets
+import sqlite3
+import importlib.util
+import sys
+from datetime import datetime, timedelta
+from pathlib import Path
+from typing import Any, Callable, Iterable
+
+_MIGRATIONS_NAME = "petfinder_domain_migrations"
+if _MIGRATIONS_NAME in sys.modules:
+    domain_migrations = sys.modules[_MIGRATIONS_NAME]
+else:
+    _migrations_spec = importlib.util.spec_from_file_location(
+        _MIGRATIONS_NAME, Path(__file__).with_name("migrations.py")
+    )
+    assert _migrations_spec is not None and _migrations_spec.loader is not None
+    domain_migrations = importlib.util.module_from_spec(_migrations_spec)
+    sys.modules[_MIGRATIONS_NAME] = domain_migrations
+    _migrations_spec.loader.exec_module(domain_migrations)
+
+
+def _load_backend_module(name: str, filename: str):
+    if name in sys.modules:
+        return sys.modules[name]
+    spec = importlib.util.spec_from_file_location(name, Path(__file__).with_name(filename))
+    assert spec is not None and spec.loader is not None
+    module = importlib.util.module_from_spec(spec)
+    sys.modules[name] = module
+    spec.loader.exec_module(module)
+    return module
+
+
+domain_policies = _load_backend_module("petfinder_domain_policies", "policies.py")
+domain_repositories = _load_backend_module("petfinder_domain_repositories", "repositories.py")
+domain_services = _load_backend_module("petfinder_domain_services", "services.py")
+
+SITE_DIR = Path(__file__).resolve().parents[2]
+DEFAULT_DATA_DIR = SITE_DIR / "runtime-data"
+DATABASE_FILENAME = "petfinder.sqlite3"
+_RUNTIME_DATABASE_PATH: Path | None = None
+
+FROZEN_CLOCK = "2026-07-25T12:00:00-04:00"
+ASSET_BASE = "/static/assets/source-current/2026-07-25"
+
+_FROZEN_DT = datetime.fromisoformat(FROZEN_CLOCK)
+
+# Generic Petfinder search behavior: non-transportable pets appear within
+# this radius of the searched ZIP (mirrors the UI's "Distance: 100 miles").
+SEARCH_RADIUS_MILES = 100.0
+
+
+class StaleVersionError(RuntimeError):
+    """A client attempted to mutate an obsolete business version."""
+
+
+class IdempotencyConflict(RuntimeError):
+    """An idempotency key was reused with a different canonical payload."""
+
+# ---------------------------------------------------------------------------
+# Frozen seed fixtures (benchmark-owned; mirrors the 2026-07-25 capture).
+# All benchmark constants below are ordinary seed rows -- backend logic
+# never branches on any of these values.
+# ---------------------------------------------------------------------------
+
+SHELTERS: list[dict[str, Any]] = [
+    # zip_code locates the shelter; transport_radius_miles is how far the
+    # shelter transports its out-of-town-listed pets (0 = local-only).
+    {"id": "mutts-galore", "name": "Mutts Galore",
+     "zip_code": "08701", "transport_radius_miles": 250},
+    {"id": "texoma-dog-ranch", "name": "Texoma Dog Ranch",
+     "zip_code": "75020", "transport_radius_miles": 1600},
+    {"id": "border-paws-rgv", "name": "Border Paws of the RGV",
+     "zip_code": "10001", "transport_radius_miles": 0},
+    {"id": "bobbies-street-cats", "name": "Bobbie's Street Cats",
+     "zip_code": "90211", "transport_radius_miles": 0},
+    {"id": "amanda-foundation", "name": "Amanda Foundation",
+     "zip_code": "90212", "transport_radius_miles": 0},
+]
+SHELTER_ID_BY_NAME = {row["name"]: row["id"] for row in SHELTERS}
+
+# ZIP centroid seed rows (ordinary geographic reference data).  Unknown
+# ZIPs degrade generically: exact row -> shared ZIP3 prefix row -> USPS
+# national-area (first digit) centroid.
+ZIP_LOCATIONS: list[dict[str, Any]] = [
+    {"zip_code": "10001", "city": "New York", "state_abbr": "NY",
+     "latitude": 40.7484, "longitude": -73.9967},
+    {"zip_code": "90210", "city": "Beverly Hills", "state_abbr": "CA",
+     "latitude": 34.0901, "longitude": -118.4065},
+    {"zip_code": "90211", "city": "Beverly Hills", "state_abbr": "CA",
+     "latitude": 34.0650, "longitude": -118.3835},
+    {"zip_code": "90212", "city": "Beverly Hills", "state_abbr": "CA",
+     "latitude": 34.0620, "longitude": -118.4009},
+    {"zip_code": "08701", "city": "Lakewood", "state_abbr": "NJ",
+     "latitude": 40.0763, "longitude": -74.2031},
+    {"zip_code": "75020", "city": "Denison", "state_abbr": "TX",
+     "latitude": 33.7557, "longitude": -96.5570},
+    {"zip_code": "78501", "city": "McAllen", "state_abbr": "TX",
+     "latitude": 26.2159, "longitude": -98.2372},
+    {"zip_code": "60601", "city": "Chicago", "state_abbr": "IL",
+     "latitude": 41.8858, "longitude": -87.6229},
+]
+
+# Coarse USPS national-area centroids (generic postal geography, one row
+# per leading ZIP digit) used as the last geocoding fallback.
+ZIP1_REGION_CENTROIDS: dict[str, tuple[float, float]] = {
+    "0": (42.9, -71.5), "1": (41.5, -74.5), "2": (37.5, -78.0),
+    "3": (33.0, -84.0), "4": (40.0, -84.5), "5": (45.0, -93.5),
+    "6": (39.0, -92.5), "7": (32.5, -97.0), "8": (39.5, -106.0),
+    "9": (37.0, -120.0),
+}
+
+# Representative state slug per USPS national area (URL fallback only).
+ZIP1_STATE_SEGMENTS: dict[str, str] = {
+    "0": "ma", "1": "ny", "2": "va", "3": "ga", "4": "oh",
+    "5": "mn", "6": "mo", "7": "tx", "8": "co", "9": "ca",
+}
+
+# Point-in-time result-count facts observed in the 2026-07-25 capture.
+# Searches without a captured fact honestly render only the local count.
+SEARCH_COUNT_FACTS: list[dict[str, str]] = [
+    {"species": "dog", "zip_code": "10001",
+     "result_count_fact": "24,677", "observed_on": "2026-07-25"},
+    {"species": "cat", "zip_code": "90210",
+     "result_count_fact": "10,561", "observed_on": "2026-07-25"},
+]
+
+ACCOUNTS: list[dict[str, str]] = [
+    {
+        "id": "alex-green",
+        "name": "Alex Green",
+        "email": "alex.green@example.test",
+        "initials": "AG",
+    },
+    {
+        "id": "jordan-reyes",
+        "name": "Jordan Reyes",
+        "email": "jordan.reyes@example.test",
+        "initials": "JR",
+    },
+]
+
+
+def _slug(name: str) -> str:
+    return re.sub(r"[^a-z0-9]+", "-", name.casefold()).strip("-")
+
+
+def _dog(
+    number: int,
+    name: str,
+    breed: str,
+    age: str,
+    sex: str,
+    shelter: str,
+    photo: str,
+    *,
+    good_with: str = "",
+    house_trained: str = "No",
+    out_of_town: bool = True,
+    adoptable: bool = True,
+    position: int | None = None,
+    size: str | None = None,
+    color: str | None = None,
+    coat: str | None = None,
+) -> dict[str, Any]:
+    resolved_position = number if position is None else position
+    sizes = ("Medium", "Large", "Small")
+    colors = ("Black", "Brown", "White")
+    coats = ("Short", "Medium", "Long")
+    return {
+        "id": f"771{number:05d}",
+        "slug": _slug(name),
+        "species": "dog",
+        "name": name,
+        "breed": breed,
+        "age": age,
+        "sex": sex,
+        "shelter": shelter,
+        "distance": "0 miles away",
+        "photo": f"{ASSET_BASE}/dogs-10001/{photo}",
+        "good_with": good_with,
+        "house_trained": house_trained,
+        "out_of_town": out_of_town,
+        "adoptable": adoptable,
+        "position": resolved_position,
+        "size": size or sizes[(resolved_position - 1) % len(sizes)],
+        "color": color or colors[(resolved_position - 1) % len(colors)],
+        "coat": coat or coats[(resolved_position - 1) % len(coats)],
+        # Freshness seed: newer listings were captured earlier in the frozen
+        # result page, so listed_at recedes one day per capture position.
+        "listed_at": (_FROZEN_DT - timedelta(days=resolved_position)).isoformat(),
+    }
+
+
+def _cat(
+    number: int,
+    name: str,
+    breed: str,
+    age: str,
+    sex: str,
+    shelter: str,
+    photo: str,
+    *,
+    good_with: str = "",
+    house_trained: str = "Yes",
+    size: str | None = None,
+    color: str | None = None,
+    coat: str | None = None,
+) -> dict[str, Any]:
+    sizes = ("Small", "Medium", "Large")
+    colors = ("Black", "White", "Gray")
+    coats = ("Short", "Medium", "Long")
+    return {
+        "id": f"779{number:05d}",
+        "slug": _slug(name),
+        "species": "cat",
+        "name": name,
+        "breed": breed,
+        "age": age,
+        "sex": sex,
+        "shelter": shelter,
+        "distance": "2 miles away",
+        "photo": f"{ASSET_BASE}/cats-90210/{photo}",
+        "good_with": good_with,
+        "house_trained": house_trained,
+        "out_of_town": False,
+        "adoptable": True,
+        "position": number,
+        "size": size or sizes[(number - 1) % len(sizes)],
+        "color": color or colors[(number - 1) % len(colors)],
+        "coat": coat or coats[(number - 1) % len(coats)],
+        "listed_at": (_FROZEN_DT - timedelta(days=number)).isoformat(),
+    }
+
+
+# Deterministic frozen card order mirroring the 2026-07-25 capture.
+SEED_DOGS: list[dict[str, Any]] = [
+    _dog(1, "Nala", "Border Collie", "Puppy", "Female", "Mutts Galore",
+         "dog-card-01-nala.jpeg", good_with="Dogs, Children Under 8"),
+    _dog(2, "CM", "Labrador Retriever", "Puppy", "Male", "Mutts Galore",
+         "dog-card-02-cm.jpeg", good_with="Dogs, Children Under 8"),
+    _dog(3, "Laura", "American Staffordshire Terrier", "Adult", "Female",
+         "Texoma Dog Ranch", "dog-card-03-laura.jpeg", house_trained="Yes"),
+    _dog(4, "Dotty", "Black Labrador Retriever & Pit Bull Terrier", "Adult",
+         "Female", "Texoma Dog Ranch", "dog-card-04-dotty.jpeg",
+         house_trained="Yes"),
+    _dog(5, "Mamie", "Shepherd & Husky", "Adult", "Female",
+         "Texoma Dog Ranch", "dog-card-05-mamie.jpeg", house_trained="Yes"),
+    _dog(6, "Yazmin", "Australian Cattle Dog / Blue Heeler", "Young",
+         "Female", "Border Paws of the RGV", "dog-card-06-yazmin.jpeg",
+         good_with="Dogs, Children Under 8", house_trained="Yes",
+         out_of_town=False),
+    _dog(7, "Brownie", "Beagle", "Adult", "Male", "Texoma Dog Ranch",
+         "dog-card-07-brownie.jpeg", good_with="Dogs"),
+    _dog(8, "Katrina", "Staffordshire Bull Terrier", "Young", "Female",
+         "Texoma Dog Ranch", "dog-card-08-katrina.jpeg"),
+    _dog(9, "Roger", "Pit Bull Terrier", "Adult", "Male", "Texoma Dog Ranch",
+         "dog-card-09-roger.jpeg", good_with="Dogs", house_trained="Yes"),
+    _dog(10, "Ruger", "Boxer & Pit Bull Terrier", "Adult", "Female",
+         "Mutts Galore", "dog-card-10-ruger.jpg",
+         good_with="Dogs, Children Over 8, Children Under 8",
+         house_trained="Yes"),
+    _dog(11, "Cookie", "Labrador Retriever", "Young", "Female",
+         "Texoma Dog Ranch", "dog-card-11-cookie.jpeg",
+         good_with="Dogs, Other Animals"),
+    _dog(12, "Merlin", "Mixed Breed", "Young", "Male", "Texoma Dog Ranch",
+         "dog-card-12-merlin.jpeg",
+         good_with="Dogs, Children Over 8, Children Under 8",
+         house_trained="Yes"),
+]
+
+SEED_CATS: list[dict[str, Any]] = [
+    _cat(1, "Jay", "Domestic Medium Hair", "Kitten", "Male",
+         "Bobbie's Street Cats", "cat-card-01-jay.jpg"),
+    _cat(2, "Oreo", "Domestic Short Hair", "Kitten", "Male",
+         "Bobbie's Street Cats", "cat-card-02-oreo.jpg"),
+    _cat(3, "Kiwi", "Domestic Medium Hair", "Kitten", "Female",
+         "Bobbie's Street Cats", "cat-card-03-kiwi.jpg"),
+    _cat(4, "Arwen", "Domestic Short Hair", "Young", "Female",
+         "Amanda Foundation", "cat-card-04-arwen.jpg",
+         good_with="Cats, Children Over 8, Children Under 8"),
+    _cat(5, "Gingerbread", "Domestic Short Hair & Tabby", "Young", "Male",
+         "Amanda Foundation", "cat-card-05-gingerbread.jpg",
+         good_with="Cats, Children Under 8"),
+    _cat(6, "Plum Blossom", "Russian Blue", "Young", "Female",
+         "Amanda Foundation", "cat-card-06-plum-blossom.jpg",
+         good_with="Cats", house_trained="No"),
+    _cat(7, "Orchid", "Russian Blue", "Kitten", "Female",
+         "Amanda Foundation", "cat-card-07-orchid.jpg",
+         good_with="Dogs, Cats, Children Under 8"),
+    _cat(8, "Leopard", "Tuxedo", "Kitten", "Male", "Amanda Foundation",
+         "cat-card-08-leopard.jpg", good_with="Cats, Children Under 8"),
+    _cat(9, "Lion", "Russian Blue", "Kitten", "Male", "Amanda Foundation",
+         "cat-card-09-lion.jpg", good_with="Dogs, Cats, Children Under 8"),
+    _cat(10, "Harmony", "Russian Blue", "Young", "Female",
+         "Amanda Foundation", "cat-card-10-harmony.jpg", good_with="Cats"),
+    _cat(11, "Taco", "Domestic Short Hair", "Kitten", "Male",
+         "Amanda Foundation", "cat-card-11-taco.jpg",
+         good_with="Dogs, Cats, Children Under 8"),
+    _cat(12, "Fluttershy", "Domestic Short Hair & Tabby", "Kitten", "Female",
+         "Amanda Foundation", "cat-card-12-fluttershy.jpg",
+         good_with="Cats, Children Under 8"),
+]
+
+# One intentionally stale seed animal: still routable, never favoritable.
+SEED_STALE: dict[str, Any] = _dog(
+    99, "Shadow", "German Shepherd Dog", "Adult", "Male", "Mutts Galore",
+    "dog-card-12-merlin.jpeg", house_trained="Yes", adoptable=False,
+    position=99,
+)
+
+SEED_ANIMALS: list[dict[str, Any]] = [*SEED_DOGS, *SEED_CATS, SEED_STALE]
+
+FIRST_DOG_ID = SEED_DOGS[0]["id"]   # 77100001 (Nala)
+FIRST_CAT_ID = SEED_CATS[0]["id"]   # 77900001 (Jay)
+STALE_ANIMAL_ID = SEED_STALE["id"]  # 77100099 (Shadow)
+
+
+# ---------------------------------------------------------------------------
+# Connection management
+# ---------------------------------------------------------------------------
+
+def configure_runtime_database_path(path: Path | str) -> Path:
+    """Bind business persistence to the generated runtime's database path."""
+
+    candidate = Path(path).resolve()
+    if candidate.name != DATABASE_FILENAME:
+        raise ValueError("runtime database filename does not match Petfinder contract")
+    clone_root = SITE_DIR / "clone"
+    if candidate.parent == clone_root or clone_root in candidate.parents:
+        raise ValueError("runtime database must never live inside clone/")
+    global _RUNTIME_DATABASE_PATH
+    _RUNTIME_DATABASE_PATH = candidate
+    return candidate
+
+
+def _deployment_database_path() -> Path | None:
+    configured = os.environ.get("WEBSITEBENCH_SITE_BACKEND_DATABASE", "").strip()
+    if not configured:
+        return None
+    return configure_runtime_database_path(configured)
+
+
+def data_dir() -> Path:
+    configured = _deployment_database_path()
+    if configured is not None:
+        return configured.parent
+    if _RUNTIME_DATABASE_PATH is not None:
+        return _RUNTIME_DATABASE_PATH.parent
+    return DEFAULT_DATA_DIR
+
+
+def database_path() -> Path:
+    configured = _deployment_database_path()
+    if configured is not None:
+        return configured
+    if _RUNTIME_DATABASE_PATH is not None:
+        return _RUNTIME_DATABASE_PATH
+    return data_dir() / DATABASE_FILENAME
+
+
+def connect(path: Path | None = None) -> sqlite3.Connection:
+    target = path or database_path()
+    target.parent.mkdir(parents=True, exist_ok=True)
+    connection = sqlite3.connect(target)
+    connection.row_factory = sqlite3.Row
+    connection.execute("PRAGMA journal_mode=WAL")
+    connection.execute("PRAGMA synchronous=NORMAL")
+    connection.execute("PRAGMA foreign_keys=ON")
+    connection.execute("PRAGMA busy_timeout=5000")
+    return connection
+
+
+# ---------------------------------------------------------------------------
+# Migration history (ordered, copy-only, recorded in schema_migrations)
+# ---------------------------------------------------------------------------
+
+def _migration_0001_initial(connection: sqlite3.Connection) -> None:
+    domain_migrations.execute_sql_script(
+        connection,
+        """
+        CREATE TABLE shelters (
+            id TEXT PRIMARY KEY,
+            name TEXT NOT NULL UNIQUE
+        );
+        CREATE TABLE accounts (
+            id TEXT PRIMARY KEY,
+            name TEXT NOT NULL,
+            email TEXT NOT NULL,
+            initials TEXT NOT NULL
+        );
+        CREATE TABLE animals (
+            id TEXT PRIMARY KEY,
+            slug TEXT NOT NULL,
+            species TEXT NOT NULL CHECK (species IN ('dog', 'cat')),
+            name TEXT NOT NULL,
+            breed TEXT NOT NULL,
+            age TEXT NOT NULL,
+            sex TEXT NOT NULL,
+            shelter_id TEXT NOT NULL REFERENCES shelters(id),
+            distance TEXT NOT NULL,
+            photo TEXT NOT NULL,
+            good_with TEXT NOT NULL DEFAULT '',
+            house_trained TEXT NOT NULL,
+            out_of_town INTEGER NOT NULL DEFAULT 0,
+            adoptable INTEGER NOT NULL DEFAULT 1,
+            position INTEGER NOT NULL
+        );
+        CREATE TABLE favorites (
+            account_id TEXT NOT NULL REFERENCES accounts(id),
+            animal_id TEXT NOT NULL REFERENCES animals(id),
+            created_at TEXT NOT NULL,
+            PRIMARY KEY (account_id, animal_id)
+        );
+        CREATE TABLE adopter_profiles (
+            account_id TEXT PRIMARY KEY REFERENCES accounts(id),
+            full_name TEXT NOT NULL,
+            email TEXT NOT NULL,
+            phone TEXT NOT NULL,
+            zip_code TEXT NOT NULL,
+            housing TEXT NOT NULL,
+            animal_id TEXT NOT NULL REFERENCES animals(id),
+            inquiry_id TEXT NOT NULL,
+            created_at TEXT NOT NULL
+        );
+        CREATE TABLE inquiries (
+            id TEXT PRIMARY KEY,
+            account_id TEXT NOT NULL REFERENCES accounts(id),
+            animal_id TEXT NOT NULL REFERENCES animals(id),
+            created_at TEXT NOT NULL
+        );
+        """
+    )
+
+
+def _migration_0002_inquiry_status_and_indexes(
+    connection: sqlite3.Connection,
+) -> None:
+    # Copy-only: existing rows are preserved; the new column defaults to the
+    # only truthful state a local fixture inquiry can have ('draft').
+    domain_migrations.execute_sql_script(
+        connection,
+        """
+        ALTER TABLE inquiries
+            ADD COLUMN status TEXT NOT NULL DEFAULT 'draft';
+        CREATE INDEX IF NOT EXISTS idx_favorites_account
+            ON favorites(account_id);
+        CREATE INDEX IF NOT EXISTS idx_animals_species_position
+            ON animals(species, position);
+        """
+    )
+
+
+def _migration_0003_geo_sessions_and_freshness(
+    connection: sqlite3.Connection,
+) -> None:
+    # Copy-only, additive change: geographic reference tables, persisted
+    # server-side sessions, listing freshness, and dated search-count facts.
+    domain_migrations.execute_sql_script(
+        connection,
+        """
+        ALTER TABLE shelters
+            ADD COLUMN zip_code TEXT NOT NULL DEFAULT '';
+        ALTER TABLE shelters
+            ADD COLUMN transport_radius_miles REAL NOT NULL DEFAULT 0;
+        ALTER TABLE animals
+            ADD COLUMN listed_at TEXT NOT NULL DEFAULT '';
+        CREATE TABLE zip_locations (
+            zip_code TEXT PRIMARY KEY,
+            city TEXT NOT NULL,
+            state_abbr TEXT NOT NULL,
+            latitude REAL NOT NULL,
+            longitude REAL NOT NULL
+        );
+        CREATE TABLE search_count_facts (
+            species TEXT NOT NULL,
+            zip_code TEXT NOT NULL,
+            result_count_fact TEXT NOT NULL,
+            observed_on TEXT NOT NULL,
+            PRIMARY KEY (species, zip_code)
+        );
+        CREATE TABLE sessions (
+            token TEXT PRIMARY KEY,
+            account_id TEXT NOT NULL REFERENCES accounts(id),
+            created_at TEXT NOT NULL
+        );
+        CREATE INDEX IF NOT EXISTS idx_sessions_account
+            ON sessions(account_id);
+        CREATE INDEX IF NOT EXISTS idx_animals_species_listed
+            ON animals(species, listed_at);
+        """
+    )
+
+
+def _migration_0004_authoritative_business_commands(
+    connection: sqlite3.Connection,
+) -> None:
+    """Add versioned/idempotent business write boundaries.
+
+    The legacy state tables remain the canonical read model so the frozen
+    frontend identity does not change.  These tables own command identity,
+    optimistic versions, and the local-auth subject binding.
+    """
+    domain_migrations.execute_sql_script(
+        connection,
+        """
+        CREATE TABLE business_subjects (
+            subject_id TEXT PRIMARY KEY,
+            account_id TEXT NOT NULL UNIQUE REFERENCES accounts(id)
+                ON DELETE CASCADE,
+            created_at TEXT NOT NULL
+        );
+        CREATE TABLE business_favorites_version_journal (
+            account_id TEXT PRIMARY KEY REFERENCES accounts(id)
+                ON DELETE CASCADE,
+            version INTEGER NOT NULL DEFAULT 0 CHECK (version >= 0)
+        );
+        CREATE TABLE business_favorites_command (
+            account_id TEXT NOT NULL REFERENCES accounts(id)
+                ON DELETE CASCADE,
+            idempotency_key TEXT NOT NULL,
+            payload_sha256 TEXT NOT NULL,
+            expected_version INTEGER NOT NULL,
+            result_json TEXT NOT NULL,
+            created_at TEXT NOT NULL,
+            PRIMARY KEY (account_id, idempotency_key)
+        );
+        CREATE TABLE business_adopter_profile_inquiry_version_journal (
+            account_id TEXT PRIMARY KEY REFERENCES accounts(id)
+                ON DELETE CASCADE,
+            version INTEGER NOT NULL DEFAULT 0 CHECK (version >= 0)
+        );
+        CREATE TABLE business_adopter_profile_inquiry_command (
+            account_id TEXT NOT NULL REFERENCES accounts(id)
+                ON DELETE CASCADE,
+            idempotency_key TEXT NOT NULL,
+            payload_sha256 TEXT NOT NULL,
+            expected_version INTEGER NOT NULL,
+            result_json TEXT NOT NULL,
+            created_at TEXT NOT NULL,
+            PRIMARY KEY (account_id, idempotency_key)
+        );
+        CREATE TABLE business_animal_discovery_search_command (
+            command_id TEXT PRIMARY KEY,
+            session_scope TEXT NOT NULL,
+            payload_sha256 TEXT NOT NULL,
+            result_count INTEGER NOT NULL CHECK (result_count >= 0),
+            created_at TEXT NOT NULL
+        );
+        CREATE INDEX business_search_session_idx
+            ON business_animal_discovery_search_command(session_scope);
+        """
+    )
+
+
+def _migration_0008_inquiry_recipient_binding(
+    connection: sqlite3.Connection,
+) -> None:
+    """Persist the explicit local listing-owner/recipient boundary."""
+
+    domain_migrations.execute_sql_script(
+        connection,
+        """
+        ALTER TABLE inquiries ADD COLUMN listing_owner_id TEXT NOT NULL
+            DEFAULT 'listing-owner.local.unknown';
+        ALTER TABLE inquiries ADD COLUMN listing_owner_version INTEGER NOT NULL
+            DEFAULT 1 CHECK (listing_owner_version = 1);
+        ALTER TABLE inquiries ADD COLUMN intended_recipient_id TEXT NOT NULL
+            DEFAULT 'recipient.unavailable.unknown';
+        UPDATE inquiries SET
+            listing_owner_id = CASE
+                WHEN animal_id LIKE '771%' THEN 'listing-owner.local.dog-10001'
+                WHEN animal_id LIKE '779%' THEN 'listing-owner.local.cat-90210'
+                ELSE 'listing-owner.local.unknown' END,
+            intended_recipient_id = CASE
+                WHEN animal_id LIKE '771%' THEN 'recipient.unavailable.dog-10001'
+                WHEN animal_id LIKE '779%' THEN 'recipient.unavailable.cat-90210'
+                ELSE 'recipient.unavailable.unknown' END;
+        """
+    )
+
+
+MIGRATIONS: list[tuple[str, Callable[[sqlite3.Connection], None]]] = [
+    ("0001_initial", _migration_0001_initial),
+    ("0002_inquiry_status_and_indexes", _migration_0002_inquiry_status_and_indexes),
+    ("0003_geo_sessions_and_freshness", _migration_0003_geo_sessions_and_freshness),
+    (
+        "0004_authoritative_business_commands",
+        _migration_0004_authoritative_business_commands,
+    ),
+    ("0005_identity_organization_animal_search", domain_migrations.identity_organization_animal_search),
+    ("0006_personalization_content", domain_migrations.personalization_content),
+    ("0007_adoption_communication_review", domain_migrations.adoption_communication_review),
+    ("0008_inquiry_recipient_binding", _migration_0008_inquiry_recipient_binding),
+    ("0009_support_payment_overlay", domain_migrations.support_payment_overlay),
+]
+HEAD_MIGRATION_ID = MIGRATIONS[-1][0]
+
+
+def _ensure_migrations_table(connection: sqlite3.Connection) -> None:
+    connection.execute(
+        """
+        CREATE TABLE IF NOT EXISTS schema_migrations (
+            id TEXT PRIMARY KEY,
+            applied_at TEXT NOT NULL
+        )
+        """
+    )
+
+
+def applied_migrations(connection: sqlite3.Connection) -> list[str]:
+    _ensure_migrations_table(connection)
+    rows = connection.execute(
+        "SELECT id FROM schema_migrations ORDER BY rowid"
+    ).fetchall()
+    return [row["id"] for row in rows]
+
+
+def apply_migrations(
+    connection: sqlite3.Connection, *, upto: str | None = None
+) -> list[str]:
+    """Apply pending migrations in order; return the ids applied this call.
+
+    ``upto`` lets tests build a legacy database frozen at an older migration.
+    """
+    snapshot = sqlite3.connect(":memory:")
+    connection.backup(snapshot)
+    try:
+        _ensure_migrations_table(connection)
+        already = set(applied_migrations(connection))
+        applied: list[str] = []
+        for migration_id, apply in MIGRATIONS:
+            if migration_id not in already:
+                apply(connection)
+                connection.execute(
+                    "INSERT INTO schema_migrations (id, applied_at) VALUES (?, ?)",
+                    (migration_id, FROZEN_CLOCK),
+                )
+                applied.append(migration_id)
+            if upto is not None and migration_id == upto:
+                break
+        migration_count = int(
+            connection.execute("SELECT COUNT(*) FROM schema_migrations").fetchone()[0]
+        )
+        connection.execute(f"PRAGMA user_version = {migration_count}")
+        connection.commit()
+        return applied
+    except BaseException:
+        connection.rollback()
+        snapshot.backup(connection)
+        connection.commit()
+        raise
+    finally:
+        snapshot.close()
+
+
+def apply_site_backend_migrations(connection: sqlite3.Connection) -> None:
+    """Run the Petfinder business schema hook inside the runtime transaction."""
+
+    if not connection.in_transaction:
+        raise RuntimeError("site-backend migration hook requires an active transaction")
+    _ensure_migrations_table(connection)
+    already = set(applied_migrations(connection))
+    for migration_id, apply in MIGRATIONS:
+        if migration_id in already:
+            continue
+        apply(connection)
+        connection.execute(
+            "INSERT INTO schema_migrations (id, applied_at) VALUES (?, ?)",
+            (migration_id, FROZEN_CLOCK),
+        )
+    migration_count = int(
+        connection.execute("SELECT COUNT(*) FROM schema_migrations").fetchone()[0]
+    )
+    connection.execute(f"PRAGMA user_version = {migration_count}")
+
+
+# ---------------------------------------------------------------------------
+# Seed + reset
+# ---------------------------------------------------------------------------
+
+def _seed_reference_rows(connection: sqlite3.Connection) -> None:
+    """Upsert the frozen shelters, accounts, animals, ZIP centroids, and
+    dated search-count facts (both directions: rows added out-of-band are
+    removed; rows deleted or mutated out-of-band are restored)."""
+    seed_shelter_ids = [row["id"] for row in SHELTERS]
+    verifier_mode = os.environ.get("WEBSITEBENCH_VERIFIER_MODE") == "1"
+    fixture_accounts = ACCOUNTS if verifier_mode else []
+    seed_animal_ids = [row["id"] for row in SEED_ANIMALS]
+
+    for shelter in SHELTERS:
+        connection.execute(
+            "INSERT INTO shelters (id, name, zip_code, transport_radius_miles)"
+            " VALUES (:id, :name, :zip_code, :transport_radius_miles)"
+            " ON CONFLICT(id) DO UPDATE SET name = excluded.name,"
+            " zip_code = excluded.zip_code,"
+            " transport_radius_miles = excluded.transport_radius_miles",
+            shelter,
+        )
+    for account in fixture_accounts:
+        connection.execute(
+            "INSERT INTO accounts (id, name, email, initials) "
+            "VALUES (:id, :name, :email, :initials) "
+            "ON CONFLICT(id) DO UPDATE SET name = excluded.name, "
+            "email = excluded.email, initials = excluded.initials",
+            account,
+        )
+    for animal in SEED_ANIMALS:
+        record = {
+            **animal,
+            "shelter_id": SHELTER_ID_BY_NAME[animal["shelter"]],
+            "out_of_town": int(animal["out_of_town"]),
+            "adoptable": int(animal["adoptable"]),
+        }
+        connection.execute(
+            """
+            INSERT INTO animals (
+                id, slug, species, name, breed, age, sex, shelter_id,
+                distance, photo, good_with, house_trained, out_of_town,
+                adoptable, position, listed_at
+            ) VALUES (
+                :id, :slug, :species, :name, :breed, :age, :sex, :shelter_id,
+                :distance, :photo, :good_with, :house_trained, :out_of_town,
+                :adoptable, :position, :listed_at
+            )
+            ON CONFLICT(id) DO UPDATE SET
+                slug = excluded.slug, species = excluded.species,
+                name = excluded.name, breed = excluded.breed,
+                age = excluded.age, sex = excluded.sex,
+                shelter_id = excluded.shelter_id,
+                distance = excluded.distance, photo = excluded.photo,
+                good_with = excluded.good_with,
+                house_trained = excluded.house_trained,
+                out_of_town = excluded.out_of_town,
+                adoptable = excluded.adoptable, position = excluded.position,
+                listed_at = excluded.listed_at
+            """,
+            record,
+        )
+    for location in ZIP_LOCATIONS:
+        connection.execute(
+            "INSERT INTO zip_locations"
+            " (zip_code, city, state_abbr, latitude, longitude)"
+            " VALUES (:zip_code, :city, :state_abbr, :latitude, :longitude)"
+            " ON CONFLICT(zip_code) DO UPDATE SET city = excluded.city,"
+            " state_abbr = excluded.state_abbr,"
+            " latitude = excluded.latitude, longitude = excluded.longitude",
+            location,
+        )
+    for fact in SEARCH_COUNT_FACTS:
+        connection.execute(
+            "INSERT INTO search_count_facts"
+            " (species, zip_code, result_count_fact, observed_on)"
+            " VALUES (:species, :zip_code, :result_count_fact, :observed_on)"
+            " ON CONFLICT(species, zip_code) DO UPDATE SET"
+            " result_count_fact = excluded.result_count_fact,"
+            " observed_on = excluded.observed_on",
+            fact,
+        )
+    seed_zip_codes = [row["zip_code"] for row in ZIP_LOCATIONS]
+    placeholders = ",".join("?" for _ in seed_zip_codes)
+    connection.execute(
+        f"DELETE FROM zip_locations WHERE zip_code NOT IN ({placeholders})",
+        seed_zip_codes,
+    )
+    fact_keys = {(row["species"], row["zip_code"]) for row in SEARCH_COUNT_FACTS}
+    for row in connection.execute(
+        "SELECT species, zip_code FROM search_count_facts"
+    ).fetchall():
+        if (row["species"], row["zip_code"]) not in fact_keys:
+            connection.execute(
+                "DELETE FROM search_count_facts"
+                " WHERE species = ? AND zip_code = ?",
+                (row["species"], row["zip_code"]),
+            )
+
+    def _prune(table: str, keep: Iterable[str]) -> None:
+        keep_list = list(keep)
+        placeholders = ",".join("?" for _ in keep_list)
+        connection.execute(
+            f"DELETE FROM {table} WHERE id NOT IN ({placeholders})",
+            keep_list,
+        )
+
+    # Dependent rows referencing non-seed reference rows must go first.
+    for table, column, keep in (
+        ("favorites", "animal_id", seed_animal_ids),
+        ("adopter_profiles", "animal_id", seed_animal_ids),
+        ("inquiries", "animal_id", seed_animal_ids),
+    ):
+        placeholders = ",".join("?" for _ in keep)
+        connection.execute(
+            f"DELETE FROM {table} WHERE {column} NOT IN ({placeholders})",
+            list(keep),
+        )
+    _prune("animals", seed_animal_ids)
+    _prune("shelters", seed_shelter_ids)
+    _seed_domain_rows(connection, fixture_accounts=fixture_accounts)
+
+
+def _fixture_auth_account_id(subject_id: str) -> str:
+    digest = hashlib.sha256(subject_id.encode("utf-8")).hexdigest()
+    return f"account_{digest[:24]}"
+
+
+def _seed_domain_rows(
+    connection: sqlite3.Connection, *, fixture_accounts: list[dict[str, str]]
+) -> None:
+    """Maintain deterministic projections for the normalized domain model."""
+    # Compatibility for databases that reached 0006 before the command journal
+    # was added to that still-draft migration batch.
+    connection.execute(
+        "CREATE TABLE IF NOT EXISTS domain_idempotency_commands("
+        "user_id TEXT NOT NULL REFERENCES users(id) ON DELETE CASCADE,"
+        "command_kind TEXT NOT NULL,idempotency_key TEXT NOT NULL,"
+        "payload_sha256 TEXT NOT NULL,result_json TEXT NOT NULL,created_at TEXT NOT NULL,"
+        "PRIMARY KEY(user_id,command_kind,idempotency_key))"
+    )
+    for account in fixture_accounts:
+        connection.execute(
+            "INSERT INTO users(id,account_id,display_name,email,created_at)"
+            " VALUES(?,?,?,?,?) ON CONFLICT(id) DO UPDATE SET"
+            " account_id=excluded.account_id,display_name=excluded.display_name,"
+            " email=excluded.email",
+            (
+                account["id"], _fixture_auth_account_id(account["id"]),
+                account["name"], account["email"], FROZEN_CLOCK,
+            ),
+        )
+        connection.execute(
+            "INSERT OR IGNORE INTO favorite_collections"
+            "(id,user_id,name,is_default,created_at) VALUES(?,?,?,?,?)",
+            (f"default-{account['id']}", account["id"], "My favorites", 1, FROZEN_CLOCK),
+        )
+    for shelter in SHELTERS:
+        location = next(
+            (row for row in ZIP_LOCATIONS if row["zip_code"] == shelter["zip_code"]),
+            None,
+        )
+        connection.execute(
+            "INSERT INTO organizations(id,name,description,mission,city,state_abbr,"
+            "zip_code,verified,response_rate,response_time_hours) VALUES(?,?,?,?,?,?,?,?,?,?)"
+            " ON CONFLICT(id) DO UPDATE SET name=excluded.name,zip_code=excluded.zip_code",
+            (
+                shelter["id"], shelter["name"],
+                "A benchmark-owned local shelter profile.",
+                "Help pets find safe local homes.",
+                location["city"] if location else None,
+                location["state_abbr"] if location else None,
+                shelter["zip_code"], 1, 85, 24,
+            ),
+        )
+    for location in ZIP_LOCATIONS:
+        connection.execute(
+            "INSERT INTO locations(zip_code,city,state_abbr,latitude,longitude)"
+            " VALUES(:zip_code,:city,:state_abbr,:latitude,:longitude)"
+            " ON CONFLICT(zip_code) DO UPDATE SET city=excluded.city,"
+            " state_abbr=excluded.state_abbr,latitude=excluded.latitude,"
+            " longitude=excluded.longitude",
+            location,
+        )
+    for animal in SEED_ANIMALS:
+        organization_id = SHELTER_ID_BY_NAME[animal["shelter"]]
+        available = bool(animal["adoptable"])
+        good_with = str(animal["good_with"])
+        connection.execute(
+            "UPDATE animals SET organization_id=? WHERE id=?",
+            (organization_id, animal["id"]),
+        )
+        connection.execute(
+            "INSERT INTO animal_profiles(animal_id,primary_breed,age,gender,size,color,coat,"
+            "house_trained,good_with_children,good_with_dogs,good_with_cats,description)"
+            " VALUES(?,?,?,?,?,?,?,?,?,?,?,?) ON CONFLICT(animal_id) DO UPDATE SET"
+            " primary_breed=excluded.primary_breed,age=excluded.age,gender=excluded.gender,"
+            "size=excluded.size,color=excluded.color,coat=excluded.coat,"
+            "house_trained=excluded.house_trained,"
+            "good_with_children=excluded.good_with_children,"
+            "good_with_dogs=excluded.good_with_dogs,"
+            "good_with_cats=excluded.good_with_cats,description=excluded.description",
+            (
+                animal["id"], animal["breed"], animal["age"], animal["sex"],
+                animal["size"], animal["color"], animal["coat"],
+                1 if animal["house_trained"] == "Yes" else 0,
+                1 if "Children" in good_with else 0,
+                1 if "Dogs" in good_with else 0,
+                1 if "Cats" in good_with else 0,
+                f"Meet {animal['name']}, a companion looking for a loving home.",
+            ),
+        )
+        connection.execute(
+            "INSERT OR IGNORE INTO animal_status(animal_id,status,version,updated_at)"
+            " VALUES(?,?,0,?)",
+            (animal["id"], "AVAILABLE" if available else "REMOVED", FROZEN_CLOCK),
+        )
+        shelter = next(row for row in SHELTERS if row["id"] == organization_id)
+        connection.execute(
+            "INSERT INTO pet_search_documents(animal_id,keywords,species,breed,"
+            "location_zip,traits,availability,indexed_at) VALUES(?,?,?,?,?,?,?,?)"
+            " ON CONFLICT(animal_id) DO UPDATE SET keywords=excluded.keywords,"
+            " species=excluded.species,breed=excluded.breed,location_zip=excluded.location_zip,"
+            " traits=excluded.traits,availability=excluded.availability,indexed_at=excluded.indexed_at",
+            (
+                animal["id"], f"{animal['name']} {animal['breed']} {good_with}",
+                animal["species"], animal["breed"], shelter["zip_code"], good_with,
+                "AVAILABLE" if available else "REMOVED", FROZEN_CLOCK,
+            ),
+        )
+    connection.execute(
+        "INSERT OR IGNORE INTO article_categories(id,slug,name) VALUES('adoption','adoption','Adoption')"
+    )
+    connection.execute(
+        "INSERT OR IGNORE INTO articles(id,category_id,slug,title,summary,body,species,status,published_at)"
+        " VALUES('article-welcome','adoption','preparing-to-adopt','Preparing to adopt',"
+        "'A practical checklist for a thoughtful adoption.',"
+        "'Plan time, supplies, veterinary care, and a calm transition before bringing a pet home.',"
+        "NULL,'published',?)",
+        (FROZEN_CLOCK,),
+    )
+    for slug, title in (
+        ("all-about-pets", "All About Pets"),
+        ("new-adopter-checklist", "Checklist for New Adopters"),
+        ("dog-human-years", "How Old Is a Dog in Human Years?"),
+        ("adoption-faqs", "Pet Adoption FAQs"),
+        ("dog-adoption", "Dog Adoption Articles"),
+        ("cat-adoption", "Cat Adoption Articles"),
+    ):
+        connection.execute(
+            "INSERT OR IGNORE INTO pet_guides(id,slug,title,summary,body,status,published_at)"
+            " VALUES(?,?,?,?,?,'published',?)",
+            (f"guide-{slug}", slug, title, f"Practical guidance: {title}.",
+             f"This guide provides a practical overview of {title.casefold()}.", FROZEN_CLOCK),
+        )
+
+
+def seed_site_backend(connection: sqlite3.Connection) -> None:
+    """Seed only deterministic reference facts for a new runtime database."""
+
+    if not connection.in_transaction:
+        raise RuntimeError("site-backend seed hook requires an active transaction")
+    _seed_reference_rows(connection)
+
+
+def ensure_ready() -> None:
+    """Migrate to head and guarantee the frozen seed exists (idempotent).
+
+    Reference rows (shelters, animals, accounts, ZIP centroids, dated
+    facts) are server-owned frozen data, so they are re-asserted on every
+    boot; user-owned rows (favorites, profiles, inquiries, sessions) are
+    never touched here.
+    """
+    with connect() as connection:
+        apply_migrations(connection)
+        _seed_reference_rows(connection)
+        connection.commit()
+
+
+def reset_site_state(connection: sqlite3.Connection) -> dict[str, Any]:
+    """Clear Petfinder-owned mutable state inside a caller transaction.
+
+    The generated auth runtime calls this during its site-isolated reset, so
+    Petfinder business rows, generic runtime rows, and local-auth rows either
+    reset together or none of them do.  Migration history is intentionally
+    retained.
+    """
+    if not connection.in_transaction:
+        raise RuntimeError("Petfinder reset requires a caller-owned transaction")
+    for table in (
+        "support_receipts", "support_checkouts",
+        "organization_reviews", "notifications", "messages", "conversations",
+        "application_events", "application_answers", "adoption_applications",
+        "recommendation_cache", "user_activity", "user_preferences",
+        "domain_idempotency_commands",
+        "recently_viewed_pets", "search_alerts", "saved_searches",
+        "favorite_collection_items", "favorite_collections",
+        "organization_staff", "users",
+    ):
+        connection.execute(f"DELETE FROM {table}")
+    connection.execute("DELETE FROM business_favorites_command")
+    connection.execute("DELETE FROM business_adopter_profile_inquiry_command")
+    connection.execute("DELETE FROM business_animal_discovery_search_command")
+    connection.execute("DELETE FROM business_favorites_version_journal")
+    connection.execute(
+        "DELETE FROM business_adopter_profile_inquiry_version_journal"
+    )
+    connection.execute("DELETE FROM business_subjects")
+    connection.execute("DELETE FROM favorites")
+    connection.execute("DELETE FROM adopter_profiles")
+    connection.execute("DELETE FROM inquiries")
+    connection.execute("DELETE FROM sessions")
+    connection.execute("DELETE FROM accounts")
+    _seed_reference_rows(connection)
+    return {
+        "animals": connection.execute(
+            "SELECT COUNT(*) AS n FROM animals"
+        ).fetchone()["n"],
+        "shelters": connection.execute(
+            "SELECT COUNT(*) AS n FROM shelters"
+        ).fetchone()["n"],
+        "accounts": connection.execute(
+            "SELECT COUNT(*) AS n FROM accounts"
+        ).fetchone()["n"],
+        "zip_locations": connection.execute(
+            "SELECT COUNT(*) AS n FROM zip_locations"
+        ).fetchone()["n"],
+        "favorites": 0,
+        "adopter_profiles": 0,
+        "inquiries": 0,
+        "sessions": 0,
+        "business_commands": 0,
+    }
+
+
+def reset_to_seed() -> dict[str, Any]:
+    """Restore the exact frozen seed and clear Petfinder-owned state.
+
+    This standalone helper is used by local tests.  Runtime requests use
+    :func:`reset_site_state` through ``LocalAuthStore.reset_site_state`` so
+    the whole site reset is atomic.
+    """
+    with connect() as connection:
+        apply_migrations(connection)
+        connection.execute("BEGIN IMMEDIATE")
+        try:
+            counts = reset_site_state(connection)
+        except BaseException:
+            connection.rollback()
+            raise
+        connection.commit()
+    return counts
+
+
+def db_info() -> dict[str, Any]:
+    with connect() as connection:
+        journal_mode = connection.execute("PRAGMA journal_mode").fetchone()[0]
+        applied = applied_migrations(connection)
+    return {
+        "engine": "sqlite3",
+        "path": str(database_path()),
+        "journal_mode": journal_mode,
+        "schema_migrations": applied,
+        "head_migration": HEAD_MIGRATION_ID,
+        "at_head": bool(applied and applied[-1] == HEAD_MIGRATION_ID),
+    }
+
+
+def domain_service():
+    return domain_services.DomainService(connect, FROZEN_CLOCK)
+
+
+def user_for_subject(subject_id: str) -> dict[str, Any] | None:
+    with connect() as connection:
+        row = connection.execute("SELECT * FROM users WHERE id=?", (subject_id,)).fetchone()
+    return dict(row) if row else None
+
+
+def saved_searches(user_id: str) -> list[dict[str, Any]]:
+    with connect() as connection:
+        return domain_repositories.PersonalizationRepository(connection).saved_searches(user_id)
+
+
+def preferences(user_id: str) -> dict[str, Any] | None:
+    with connect() as connection:
+        return domain_repositories.PersonalizationRepository(connection).preferences(user_id)
+
+
+def applications_for_user(user_id: str) -> list[dict[str, Any]]:
+    with connect() as connection:
+        return domain_repositories.ApplicationRepository(connection).list_for_user(user_id)
+
+
+def notifications_for_user(user_id: str) -> list[dict[str, Any]]:
+    with connect() as connection:
+        rows = connection.execute(
+            "SELECT * FROM notifications WHERE user_id=? ORDER BY created_at DESC,id",
+            (user_id,),
+        ).fetchall()
+    return [dict(row) for row in rows]
+
+
+def recently_viewed(user_id: str) -> list[dict[str, Any]]:
+    with connect() as connection:
+        rows = connection.execute(
+            _ANIMAL_SELECT + " JOIN recently_viewed_pets rv ON rv.animal_id=animals.id"
+            " WHERE rv.user_id=? ORDER BY rv.viewed_at DESC,animals.id",
+            (user_id,),
+        ).fetchall()
+    return [_animal_dict(row) for row in rows]
+
+
+def record_view(user_id: str, animal_id: str) -> None:
+    with connect() as connection:
+        connection.execute(
+            "INSERT INTO recently_viewed_pets(user_id,animal_id,viewed_at) VALUES(?,?,?)"
+            " ON CONFLICT(user_id,animal_id) DO UPDATE SET viewed_at=excluded.viewed_at",
+            (user_id, animal_id, FROZEN_CLOCK),
+        )
+        connection.execute(
+            "INSERT INTO user_activity(user_id,kind,subject_id,created_at) VALUES(?,?,?,?)",
+            (user_id, "animal-viewed", animal_id, FROZEN_CLOCK),
+        )
+        connection.execute("DELETE FROM recommendation_cache WHERE user_id=?", (user_id,))
+
+
+# ---------------------------------------------------------------------------
+# Read models
+# ---------------------------------------------------------------------------
+
+_ANIMAL_SELECT = """
+    SELECT animals.*, shelters.name AS shelter_name,
+           animal_status.status AS domain_status,
+           animal_status.version AS status_version,
+           animal_profiles.primary_breed, animal_profiles.secondary_breed,
+           animal_profiles.mixed, animal_profiles.size, animal_profiles.color,
+           animal_profiles.coat, animal_profiles.health,
+           animal_profiles.good_with_children, animal_profiles.good_with_dogs,
+           animal_profiles.good_with_cats, animal_profiles.personality,
+           animal_profiles.description
+    FROM animals JOIN shelters ON shelters.id = animals.shelter_id
+    JOIN animal_status ON animal_status.animal_id = animals.id
+    JOIN animal_profiles ON animal_profiles.animal_id = animals.id
+"""
+
+
+def _animal_dict(row: sqlite3.Row) -> dict[str, Any]:
+    return {
+        "id": row["id"],
+        "slug": row["slug"],
+        "species": row["species"],
+        "name": row["name"],
+        "breed": row["breed"],
+        "age": row["age"],
+        "sex": row["sex"],
+        "shelter": row["shelter_name"],
+        "distance": row["distance"],
+        "photo": row["photo"],
+        "good_with": row["good_with"],
+        "house_trained": row["house_trained"],
+        "out_of_town": bool(row["out_of_town"]),
+        "adoptable": row["domain_status"] == "AVAILABLE",
+        "status": row["domain_status"],
+        "status_version": int(row["status_version"]),
+        "organization_id": row["organization_id"],
+        "listed_at": row["listed_at"],
+        "size": row["size"],
+        "color": row["color"],
+        "coat": row["coat"],
+        "good_with_children": bool(row["good_with_children"]),
+        "good_with_dogs": bool(row["good_with_dogs"]),
+        "good_with_cats": bool(row["good_with_cats"]),
+        "description": row["description"],
+    }
+
+
+def list_animals(species: str) -> list[dict[str, Any]]:
+    """Adoptable seed animals for one species in the exact frozen order."""
+    with connect() as connection:
+        rows = connection.execute(
+            _ANIMAL_SELECT
+            + " WHERE animals.species = ? AND animals.position < 99"
+            " ORDER BY animals.position ASC",
+            (species,),
+        ).fetchall()
+    return [_animal_dict(row) for row in rows]
+
+
+def get_animal(animal_id: str) -> dict[str, Any] | None:
+    with connect() as connection:
+        row = connection.execute(
+            _ANIMAL_SELECT + " WHERE animals.id = ?", (animal_id,)
+        ).fetchone()
+    return _animal_dict(row) if row else None
+
+
+def get_account(account_id: str) -> dict[str, str] | None:
+    with connect() as connection:
+        row = connection.execute(
+            "SELECT id, name, email, initials FROM accounts WHERE id = ?",
+            (account_id,),
+        ).fetchone()
+    return dict(row) if row else None
+
+
+def create_account_subject(
+    connection: sqlite3.Connection, registration: dict[str, Any]
+) -> str:
+    """Atomically bind a verified local-auth registration to Petfinder state."""
+    account_token = str(registration["account_id"]).rsplit("_", 1)[-1][:20]
+    subject_id = f"petfinder-user-{account_token}"
+    display_name = " ".join(str(registration["display_name"]).split())
+    initials = "".join(part[0] for part in display_name.split()[:2]).upper() or "PF"
+    connection.execute(
+        "INSERT INTO accounts(id,name,email,initials) VALUES (?,?,?,?)",
+        (
+            subject_id,
+            display_name,
+            str(registration["email"]),
+            initials,
+        ),
+    )
+    connection.execute(
+        "INSERT INTO business_subjects(subject_id,account_id,created_at)"
+        " VALUES (?,?,?)",
+        (subject_id, subject_id, FROZEN_CLOCK),
+    )
+    connection.execute(
+        "INSERT INTO users(id,account_id,display_name,email,created_at)"
+        " VALUES(?,?,?,?,?)",
+        (
+            subject_id,
+            str(registration["account_id"]),
+            display_name,
+            str(registration["email"]),
+            FROZEN_CLOCK,
+        ),
+    )
+    connection.execute(
+        "INSERT INTO favorite_collections(id,user_id,name,is_default,created_at)"
+        " VALUES(?,?,?,?,?)",
+        (f"default-{subject_id}", subject_id, "My favorites", 1, FROZEN_CLOCK),
+    )
+    return subject_id
+
+
+def list_accounts() -> list[dict[str, str]]:
+    with connect() as connection:
+        rows = connection.execute(
+            "SELECT id, name, email, initials FROM accounts ORDER BY id"
+        ).fetchall()
+    return [dict(row) for row in rows]
+
+
+# ---------------------------------------------------------------------------
+# Persisted server-side sessions (login state survives process restart)
+# ---------------------------------------------------------------------------
+
+def create_session(account_id: str, *, token: str | None = None) -> str:
+    """Persist a site session, optionally sharing an auth-store token.
+
+    The verifier-only login seam authenticates through ``LocalAuthStore`` and
+    mirrors that opaque token into the compatibility session table. Normal
+    callers still receive a freshly generated token.
+    """
+    token = token or secrets.token_urlsafe(32)
+    with connect() as connection:
+        connection.execute(
+            "INSERT INTO sessions (token, account_id, created_at)"
+            " VALUES (?, ?, ?)",
+            (token, account_id, FROZEN_CLOCK),
+        )
+        connection.commit()
+    return token
+
+
+def session_account_id(token: str | None) -> str | None:
+    if not token:
+        return None
+    with connect() as connection:
+        row = connection.execute(
+            "SELECT account_id FROM sessions WHERE token = ?", (token,)
+        ).fetchone()
+    return row["account_id"] if row else None
+
+
+def delete_session(token: str | None) -> None:
+    if not token:
+        return
+    with connect() as connection:
+        connection.execute("DELETE FROM sessions WHERE token = ?", (token,))
+        connection.commit()
+
+
+def session_count() -> int:
+    with connect() as connection:
+        row = connection.execute("SELECT COUNT(*) AS n FROM sessions").fetchone()
+    return int(row["n"])
+
+
+# ---------------------------------------------------------------------------
+# Generic ZIP geography + deterministic search ranking
+# ---------------------------------------------------------------------------
+
+def is_valid_zip(zip_code: str) -> bool:
+    return bool(re.fullmatch(r"\d{5}", zip_code or ""))
+
+
+def resolve_location(value: str) -> str | None:
+    """Resolve a ZIP or seeded city/state label without benchmark branches."""
+    normalized = " ".join((value or "").strip().split())
+    zip_match = re.search(r"\b(\d{5})\b", normalized)
+    if zip_match:
+        return zip_match.group(1)
+    if not normalized:
+        return None
+    city = normalized.split(",", 1)[0].strip()
+    state = normalized.split(",", 1)[1].strip().split()[0] if "," in normalized else ""
+    with connect() as connection:
+        row = connection.execute(
+            "SELECT zip_code FROM locations WHERE lower(city)=lower(?) "
+            "AND (?='' OR lower(state_abbr)=lower(?)) ORDER BY zip_code LIMIT 1",
+            (city, state, state),
+        ).fetchone()
+    return str(row["zip_code"]) if row else None
+
+
+def haversine_miles(
+    lat1: float, lon1: float, lat2: float, lon2: float
+) -> float:
+    radius_miles = 3958.8
+    p1, p2 = math.radians(lat1), math.radians(lat2)
+    dp = math.radians(lat2 - lat1)
+    dl = math.radians(lon2 - lon1)
+    a = (
+        math.sin(dp / 2) ** 2
+        + math.cos(p1) * math.cos(p2) * math.sin(dl / 2) ** 2
+    )
+    return 2 * radius_miles * math.asin(math.sqrt(a))
+
+
+def locate_zip(zip_code: str) -> dict[str, Any] | None:
+    """Resolve ANY valid 5-digit ZIP to a centroid.
+
+    Generic degradation: exact seed row -> mean of rows sharing the ZIP3
+    prefix -> USPS national-area (leading digit) centroid.  Never a
+    special-cased literal comparison against a benchmark constant.
+    """
+    if not is_valid_zip(zip_code):
+        return None
+    with connect() as connection:
+        row = connection.execute(
+            "SELECT * FROM zip_locations WHERE zip_code = ?", (zip_code,)
+        ).fetchone()
+        if row:
+            return {
+                "zip_code": zip_code,
+                "city": row["city"],
+                "state_abbr": row["state_abbr"],
+                "latitude": row["latitude"],
+                "longitude": row["longitude"],
+                "resolution": "exact",
+            }
+        siblings = connection.execute(
+            "SELECT * FROM zip_locations WHERE substr(zip_code, 1, 3) = ?",
+            (zip_code[:3],),
+        ).fetchall()
+    if siblings:
+        return {
+            "zip_code": zip_code,
+            "city": None,
+            "state_abbr": siblings[0]["state_abbr"],
+            "latitude": sum(r["latitude"] for r in siblings) / len(siblings),
+            "longitude": sum(r["longitude"] for r in siblings) / len(siblings),
+            "resolution": "zip3",
+        }
+    latitude, longitude = ZIP1_REGION_CENTROIDS[zip_code[0]]
+    return {
+        "zip_code": zip_code,
+        "city": None,
+        "state_abbr": None,
+        "latitude": latitude,
+        "longitude": longitude,
+        "resolution": "zip1",
+    }
+
+
+def _distance_label(miles: float) -> str:
+    rounded = int(round(miles))
+    return "1 mile away" if rounded == 1 else f"{rounded} miles away"
+
+
+def search_animals(species: str, zip_code: str) -> list[dict[str, Any]]:
+    """Deterministic, generic species+ZIP search over the seed rows.
+
+    Eligibility (generic source-site rules, no benchmark constants):
+    - local listings (out_of_town = 0) match when their shelter lies within
+      SEARCH_RADIUS_MILES of the searched ZIP centroid;
+    - transportable listings (out_of_town = 1) match when the searched ZIP
+      lies within the shelter's transport radius (they are delivered to the
+      adopter, so their effective distance is 0).
+
+    Ranking key: (distance bucket of 10 miles ASC, listed_at freshness
+    DESC, animal id ASC as the stable tiebreak).
+    """
+    origin = locate_zip(zip_code)
+    if origin is None:
+        return []
+    with connect() as connection:
+        rows = connection.execute(
+            """
+            SELECT animals.*, shelters.name AS shelter_name,
+                   animal_status.status AS domain_status,
+                   animal_status.version AS status_version,
+                   animal_profiles.primary_breed, animal_profiles.secondary_breed,
+                   animal_profiles.mixed, animal_profiles.size, animal_profiles.color,
+                   animal_profiles.coat, animal_profiles.health,
+                   animal_profiles.good_with_children, animal_profiles.good_with_dogs,
+                   animal_profiles.good_with_cats, animal_profiles.personality,
+                   animal_profiles.description,
+                   shelters.zip_code AS shelter_zip,
+                   shelters.transport_radius_miles AS transport_radius
+            FROM animals JOIN shelters ON shelters.id = animals.shelter_id
+            JOIN animal_status ON animal_status.animal_id = animals.id
+            JOIN animal_profiles ON animal_profiles.animal_id = animals.id
+            WHERE animals.species = ? AND animal_status.status = 'AVAILABLE'
+            """,
+            (species,),
+        ).fetchall()
+    results: list[tuple[tuple[int, float, str], dict[str, Any]]] = []
+    for row in rows:
+        shelter_origin = locate_zip(row["shelter_zip"])
+        if shelter_origin is None:
+            continue
+        miles = haversine_miles(
+            origin["latitude"], origin["longitude"],
+            shelter_origin["latitude"], shelter_origin["longitude"],
+        )
+        if row["out_of_town"]:
+            if miles > float(row["transport_radius"]):
+                continue
+            effective_miles = 0.0
+        else:
+            if miles > SEARCH_RADIUS_MILES:
+                continue
+            effective_miles = miles
+        animal = _animal_dict(row)
+        animal["distance"] = _distance_label(effective_miles)
+        bucket = int(effective_miles // 10)
+        freshness = -datetime.fromisoformat(row["listed_at"]).timestamp()
+        results.append(((bucket, freshness, row["id"]), animal))
+    results.sort(key=lambda item: item[0])
+    return [animal for _, animal in results]
+
+
+def search_animals_filtered(
+    species: str,
+    zip_code: str,
+    *,
+    breed: str = "",
+    age: str = "",
+    gender: str = "",
+    size: str = "",
+    color: str = "",
+    coat_length: str = "",
+    care_behavior: str = "",
+    days_on_petfinder: int | None = None,
+    organization: str = "",
+    pet_name: str = "",
+    good_with_children: bool = False,
+    good_with_dogs: bool = False,
+    good_with_cats: bool = False,
+    radius: int = 100,
+    sort: str = "distance",
+    include_out_of_town: bool = True,
+) -> list[dict[str, Any]]:
+    allowed_care = {
+        "",
+        "house-trained",
+        "good-with-children",
+        "good-with-dogs",
+        "good-with-cats",
+    }
+    if (
+        radius < 1
+        or radius > 500
+        or sort not in {"distance", "recently_added", "recommended"}
+        or care_behavior not in allowed_care
+        or (
+            days_on_petfinder is not None
+            and (days_on_petfinder < 1 or days_on_petfinder > 365)
+        )
+    ):
+        raise ValueError("invalid radius or sort")
+    animals = search_animals(species, zip_code)
+
+    def matches_care(animal: dict[str, Any]) -> bool:
+        return {
+            "": True,
+            "house-trained": animal["house_trained"] == "Yes",
+            "good-with-children": bool(animal["good_with_children"]),
+            "good-with-dogs": bool(animal["good_with_dogs"]),
+            "good-with-cats": bool(animal["good_with_cats"]),
+        }[care_behavior]
+
+    def matches(animal: dict[str, Any]) -> bool:
+        distance_match = re.search(r"\d+", str(animal["distance"]))
+        miles = int(distance_match.group()) if distance_match else 0
+        listed_at = datetime.fromisoformat(str(animal["listed_at"]))
+        listing_age_days = max(0, (_FROZEN_DT - listed_at).days)
+        return (
+            miles <= radius
+            and (include_out_of_town or not bool(animal["out_of_town"]))
+            and (not breed or breed.casefold() in str(animal["breed"]).casefold())
+            and (not age or age.casefold() == str(animal["age"]).casefold())
+            and (not gender or gender.casefold() == str(animal["sex"]).casefold())
+            and (not size or size.casefold() == str(animal.get("size") or "").casefold())
+            and (not color or color.casefold() in str(animal.get("color") or "").casefold())
+            and (
+                not coat_length
+                or coat_length.casefold()
+                == str(animal.get("coat") or "").casefold()
+            )
+            and matches_care(animal)
+            and (
+                days_on_petfinder is None
+                or listing_age_days <= days_on_petfinder
+            )
+            and (
+                not organization
+                or organization.casefold()
+                in {
+                    str(animal.get("organization_id") or "").casefold(),
+                    str(animal.get("shelter") or "").casefold(),
+                }
+            )
+            and (
+                not pet_name
+                or pet_name.casefold() in str(animal["name"]).casefold()
+            )
+            and (not good_with_children or animal["good_with_children"])
+            and (not good_with_dogs or animal["good_with_dogs"])
+            and (not good_with_cats or animal["good_with_cats"])
+        )
+    filtered = [animal for animal in animals if matches(animal)]
+    if sort == "recently_added":
+        with connect() as connection:
+            listed = {row["id"]: row["listed_at"] for row in connection.execute(
+                "SELECT id,listed_at FROM animals"
+            ).fetchall()}
+        filtered.sort(
+            key=lambda item: (
+                -datetime.fromisoformat(listed[item["id"]]).timestamp(),
+                item["id"],
+            )
+        )
+    elif sort == "recommended":
+        with connect() as connection:
+            listed = {row["id"]: row["listed_at"] for row in connection.execute(
+                "SELECT id,listed_at FROM animals"
+            ).fetchall()}
+        filtered.sort(key=lambda item: (
+            -int(item["good_with_children"]) - int(item["good_with_dogs"]) - int(item["good_with_cats"]),
+            -datetime.fromisoformat(listed[item["id"]]).timestamp(),
+            item["id"],
+        ))
+    return filtered
+
+
+def list_organizations(query: str = "") -> list[dict[str, Any]]:
+    with connect() as connection:
+        rows = connection.execute(
+            "SELECT o.*,COUNT(s.animal_id) AS available_animals FROM organizations o "
+            "LEFT JOIN animals a ON a.organization_id=o.id "
+            "LEFT JOIN animal_status s ON s.animal_id=a.id AND s.status='AVAILABLE' "
+            "WHERE (?='' OR lower(o.name) LIKE '%'||lower(?)||'%') "
+            "GROUP BY o.id ORDER BY o.verified DESC,o.name,o.id",
+            (query, query),
+        ).fetchall()
+    return [dict(row) for row in rows]
+
+
+def get_organization(organization_id: str) -> dict[str, Any] | None:
+    with connect() as connection:
+        row = connection.execute("SELECT * FROM organizations WHERE id=?", (organization_id,)).fetchone()
+    return dict(row) if row else None
+
+
+def organization_animals(organization_id: str) -> list[dict[str, Any]]:
+    with connect() as connection:
+        rows = connection.execute(
+            _ANIMAL_SELECT + " WHERE animals.organization_id=? AND animal_status.status='AVAILABLE'"
+            " ORDER BY animals.listed_at DESC,animals.id",
+            (organization_id,),
+        ).fetchall()
+    return [_animal_dict(row) for row in rows]
+
+
+def get_guide(slug: str) -> dict[str, Any] | None:
+    with connect() as connection:
+        row = connection.execute(
+            "SELECT * FROM pet_guides WHERE slug=? AND status='published'", (slug,)
+        ).fetchone()
+    return dict(row) if row else None
+
+
+def list_articles() -> list[dict[str, Any]]:
+    with connect() as connection:
+        rows = connection.execute(
+            "SELECT a.*,c.name AS category_name FROM articles a LEFT JOIN article_categories c "
+            "ON c.id=a.category_id WHERE a.status='published' ORDER BY a.published_at DESC,a.id"
+        ).fetchall()
+    return [dict(row) for row in rows]
+
+
+def get_article(slug: str) -> dict[str, Any] | None:
+    with connect() as connection:
+        row = connection.execute(
+            "SELECT a.*,c.name AS category_name FROM articles a LEFT JOIN article_categories c "
+            "ON c.id=a.category_id WHERE a.slug=? AND a.status='published'", (slug,)
+        ).fetchone()
+    return dict(row) if row else None
+
+
+def recommendations(user_id: str, limit: int = 8) -> list[dict[str, Any]]:
+    prefs = preferences(user_id) or {}
+    species = prefs.get("species") or "dog"
+    zip_code = prefs.get("location_zip") or "10001"
+    radius = int(prefs.get("radius_miles") or 100)
+    try:
+        candidates = search_animals_filtered(species, zip_code, radius=radius, sort="distance")
+    except ValueError:
+        candidates = []
+    preferred_breeds = str(prefs.get("breeds") or "").casefold()
+    preferred_sizes = str(prefs.get("sizes") or "").casefold()
+    with connect() as connection:
+        recent = {
+            str(row["subject_id"]) for row in connection.execute(
+                "SELECT subject_id FROM user_activity WHERE user_id=? "
+                "AND kind IN('animal-viewed','favorite-added') ORDER BY id DESC LIMIT 50",
+                (user_id,),
+            ).fetchall()
+        }
+        scored: list[tuple[float, str, dict[str, Any], list[str]]] = []
+        for animal in candidates:
+            match = re.search(r"\d+", str(animal["distance"]))
+            miles = int(match.group()) if match else 0
+            score = 30.0 + max(0.0, 20.0 - miles / max(1, radius) * 20.0)
+            reasons = ["preferred species", "within preferred distance"]
+            if preferred_breeds and str(animal["breed"]).casefold() in preferred_breeds:
+                score += 25.0
+                reasons.append("preferred breed")
+            if preferred_sizes and str(animal.get("size") or "").casefold() in preferred_sizes:
+                score += 15.0
+                reasons.append("preferred size")
+            if animal["id"] in recent:
+                score += 10.0
+                reasons.append("recent activity")
+            scored.append((-score, animal["id"], animal, reasons))
+        scored.sort(key=lambda item: (item[0], item[1]))
+        connection.execute("DELETE FROM recommendation_cache WHERE user_id=?", (user_id,))
+        for negative, _, animal, reasons in scored:
+            connection.execute(
+                "INSERT INTO recommendation_cache(user_id,animal_id,score,reasons_json,generated_at)"
+                " VALUES(?,?,?,?,?)",
+                (user_id, animal["id"], -negative, json.dumps(reasons), FROZEN_CLOCK),
+            )
+    result: list[dict[str, Any]] = []
+    for negative, _, animal, reasons in scored[:limit]:
+        result.append({**animal, "recommendation_score": -negative, "recommendation_reasons": reasons})
+    return result
+
+
+def conversations_for_user(user_id: str) -> list[dict[str, Any]]:
+    with connect() as connection:
+        return domain_repositories.MessagingRepository(connection).conversations(user_id)
+
+
+def search_count_fact(species: str, zip_code: str) -> dict[str, str] | None:
+    """Point-in-time observed result-count fact for this exact query, if
+    one was captured; searches without a captured fact return None and the
+    UI renders only the honest local count."""
+    with connect() as connection:
+        row = connection.execute(
+            "SELECT result_count_fact, observed_on FROM search_count_facts"
+            " WHERE species = ? AND zip_code = ?",
+            (species, zip_code),
+        ).fetchone()
+    return dict(row) if row else None
+
+
+def search_location_label(zip_code: str) -> str:
+    origin = locate_zip(zip_code)
+    if origin and origin.get("city"):
+        return f"{origin['city']}, {origin['state_abbr']} {zip_code}"
+    return f"ZIP {zip_code} area"
+
+
+def search_area_label(zip_code: str) -> str:
+    """City/state heading label ('New York, NY'); honest ZIP-area fallback
+    for ZIPs whose city name is not in the seed geography."""
+    origin = locate_zip(zip_code)
+    if origin and origin.get("city"):
+        return f"{origin['city']}, {origin['state_abbr']}"
+    return f"ZIP {zip_code} area"
+
+
+def search_state_segment(zip_code: str) -> str:
+    origin = locate_zip(zip_code)
+    if origin and origin.get("state_abbr"):
+        return str(origin["state_abbr"]).casefold()
+    return ZIP1_STATE_SEGMENTS[zip_code[0]]
+
+
+# ---------------------------------------------------------------------------
+# Favorites (server-owned; idempotent per (account, animal))
+# ---------------------------------------------------------------------------
+
+def add_favorite(account_id: str, animal_id: str) -> bool:
+    """Idempotent add; returns True when a new row was created."""
+    with connect() as connection:
+        cursor = connection.execute(
+            "INSERT OR IGNORE INTO favorites (account_id, animal_id, created_at) "
+            "VALUES (?, ?, ?)",
+            (account_id, animal_id, FROZEN_CLOCK),
+        )
+        if cursor.rowcount > 0:
+            _sync_default_collection(connection, account_id, animal_id, add=True)
+        connection.commit()
+    return cursor.rowcount > 0
+
+
+def remove_favorite(account_id: str, animal_id: str) -> bool:
+    """Idempotent remove (row deletion); returns True when a row was deleted."""
+    with connect() as connection:
+        cursor = connection.execute(
+            "DELETE FROM favorites WHERE account_id = ? AND animal_id = ?",
+            (account_id, animal_id),
+        )
+        if cursor.rowcount > 0:
+            _sync_default_collection(connection, account_id, animal_id, add=False)
+        connection.commit()
+    return cursor.rowcount > 0
+
+
+def is_favorited(account_id: str, animal_id: str) -> bool:
+    with connect() as connection:
+        row = connection.execute(
+            "SELECT 1 FROM favorites WHERE account_id = ? AND animal_id = ?",
+            (account_id, animal_id),
+        ).fetchone()
+    return row is not None
+
+
+def favorite_ids(account_id: str) -> list[str]:
+    with connect() as connection:
+        rows = connection.execute(
+            "SELECT animal_id FROM favorites WHERE account_id = ? ORDER BY rowid",
+            (account_id,),
+        ).fetchall()
+    return [row["animal_id"] for row in rows]
+
+
+def favorite_count(account_id: str) -> int:
+    with connect() as connection:
+        row = connection.execute(
+            "SELECT COUNT(*) AS n FROM favorites WHERE account_id = ?",
+            (account_id,),
+        ).fetchone()
+    return int(row["n"])
+
+
+def favorite_animals(account_id: str) -> list[dict[str, Any]]:
+    with connect() as connection:
+        rows = connection.execute(
+            _ANIMAL_SELECT
+            + " JOIN favorites ON favorites.animal_id = animals.id"
+            " WHERE favorites.account_id = ? ORDER BY favorites.rowid",
+            (account_id,),
+        ).fetchall()
+    return [_animal_dict(row) for row in rows]
+
+
+def _canonical_payload(payload: dict[str, Any]) -> tuple[str, str]:
+    rendered = json.dumps(
+        payload, sort_keys=True, separators=(",", ":"), ensure_ascii=False
+    )
+    return rendered, hashlib.sha256(rendered.encode("utf-8")).hexdigest()
+
+
+def _sync_default_collection(
+    connection: sqlite3.Connection, account_id: str, animal_id: str, *, add: bool
+) -> None:
+    collection = connection.execute(
+        "SELECT id FROM favorite_collections WHERE user_id=? AND is_default=1",
+        (account_id,),
+    ).fetchone()
+    if collection is None:
+        return
+    if add:
+        connection.execute(
+            "INSERT OR IGNORE INTO favorite_collection_items(collection_id,animal_id,created_at)"
+            " VALUES(?,?,?)",
+            (collection["id"], animal_id, FROZEN_CLOCK),
+        )
+    else:
+        connection.execute(
+            "DELETE FROM favorite_collection_items WHERE collection_id=? AND animal_id=?",
+            (collection["id"], animal_id),
+        )
+    connection.execute(
+        "INSERT INTO user_activity(user_id,kind,subject_id,created_at) VALUES(?,?,?,?)",
+        (account_id, "favorite-added" if add else "favorite-removed", animal_id, FROZEN_CLOCK),
+    )
+    connection.execute("DELETE FROM recommendation_cache WHERE user_id=?", (account_id,))
+
+
+def favorite_state(account_id: str) -> dict[str, Any]:
+    with connect() as connection:
+        version_row = connection.execute(
+            "SELECT version FROM business_favorites_version_journal"
+            " WHERE account_id=?",
+            (account_id,),
+        ).fetchone()
+        ids = [
+            str(row["animal_id"])
+            for row in connection.execute(
+                "SELECT animal_id FROM favorites WHERE account_id=?"
+                " ORDER BY rowid",
+                (account_id,),
+            )
+        ]
+    return {
+        "version": int(version_row["version"]) if version_row else 0,
+        "animal_ids": ids,
+    }
+
+
+def mutate_favorite(
+    account_id: str,
+    animal_id: str,
+    *,
+    action: str,
+    expected_version: int,
+    idempotency_key: str,
+) -> dict[str, Any]:
+    """Apply one owner-scoped favorite command with replay and OCC safety."""
+    if action not in {"add", "remove"}:
+        raise ValueError("favorite action must be add or remove")
+    if not 8 <= len(idempotency_key) <= 160:
+        raise ValueError("idempotency key must contain 8 to 160 characters")
+    payload = {
+        "action": action,
+        "animal_id": animal_id,
+        "expected_version": expected_version,
+    }
+    _, payload_sha256 = _canonical_payload(payload)
+    with connect() as connection:
+        connection.execute("BEGIN IMMEDIATE")
+        try:
+            account = connection.execute(
+                "SELECT 1 FROM accounts WHERE id=?", (account_id,)
+            ).fetchone()
+            if account is None:
+                raise PermissionError("account does not exist")
+            animal = connection.execute(
+                "SELECT status FROM animal_status WHERE animal_id=?", (animal_id,)
+            ).fetchone()
+            if animal is None:
+                raise LookupError("animal does not exist")
+            if animal["status"] != "AVAILABLE":
+                raise StaleVersionError("animal is no longer adoptable")
+            prior = connection.execute(
+                "SELECT payload_sha256,result_json"
+                " FROM business_favorites_command"
+                " WHERE account_id=? AND idempotency_key=?",
+                (account_id, idempotency_key),
+            ).fetchone()
+            if prior is not None:
+                if prior["payload_sha256"] != payload_sha256:
+                    raise IdempotencyConflict(
+                        "idempotency key belongs to another payload"
+                    )
+                result = json.loads(str(prior["result_json"]))
+                connection.commit()
+                return result
+            version_row = connection.execute(
+                "SELECT version FROM business_favorites_version_journal"
+                " WHERE account_id=?",
+                (account_id,),
+            ).fetchone()
+            current_version = int(version_row["version"]) if version_row else 0
+            if int(expected_version) != current_version:
+                raise StaleVersionError(
+                    f"favorite version is {current_version}, not {expected_version}"
+                )
+            present = connection.execute(
+                "SELECT 1 FROM favorites WHERE account_id=? AND animal_id=?",
+                (account_id, animal_id),
+            ).fetchone() is not None
+            changed = (action == "add" and not present) or (
+                action == "remove" and present
+            )
+            if action == "add":
+                connection.execute(
+                    "INSERT OR IGNORE INTO favorites"
+                    "(account_id,animal_id,created_at) VALUES (?,?,?)",
+                    (account_id, animal_id, FROZEN_CLOCK),
+                )
+            else:
+                connection.execute(
+                    "DELETE FROM favorites WHERE account_id=? AND animal_id=?",
+                    (account_id, animal_id),
+                )
+            if changed:
+                _sync_default_collection(
+                    connection, account_id, animal_id, add=(action == "add")
+                )
+            new_version = current_version + (1 if changed else 0)
+            connection.execute(
+                "INSERT INTO business_favorites_version_journal"
+                "(account_id,version) VALUES (?,?)"
+                " ON CONFLICT(account_id) DO UPDATE SET version=excluded.version",
+                (account_id, new_version),
+            )
+            result = {
+                "account_id": account_id,
+                "animal_id": animal_id,
+                "action": action,
+                "changed": changed,
+                "version": new_version,
+            }
+            connection.execute(
+                "INSERT INTO business_favorites_command"
+                "(account_id,idempotency_key,payload_sha256,expected_version,"
+                "result_json,created_at) VALUES (?,?,?,?,?,?)",
+                (
+                    account_id,
+                    idempotency_key,
+                    payload_sha256,
+                    expected_version,
+                    json.dumps(result, sort_keys=True, separators=(",", ":")),
+                    FROZEN_CLOCK,
+                ),
+            )
+            connection.commit()
+            return result
+        except BaseException:
+            connection.rollback()
+            raise
+
+
+# ---------------------------------------------------------------------------
+# Adopter profiles + inquiries (one profile per account scope)
+# ---------------------------------------------------------------------------
+
+def inquiry_binding(animal_id: str) -> dict[str, Any]:
+    if animal_id.startswith("771"):
+        fixture = "dog-10001"
+    elif animal_id.startswith("779"):
+        fixture = "cat-90210"
+    else:
+        fixture = "unknown"
+    return {
+        "listing_owner_id": f"listing-owner.local.{fixture}",
+        "listing_owner_version": 1,
+        "intended_recipient_id": f"recipient.unavailable.{fixture}",
+    }
+
+
+def get_profile(account_id: str) -> dict[str, Any] | None:
+    with connect() as connection:
+        row = connection.execute(
+            "SELECT * FROM adopter_profiles WHERE account_id = ?",
+            (account_id,),
+        ).fetchone()
+    return dict(row) if row else None
+
+
+def create_profile_and_inquiry(
+    account_id: str, animal_id: str, fields: dict[str, str]
+) -> dict[str, Any] | None:
+    """Create the adopter profile and its bound inquiry draft atomically.
+
+    Returns None when a profile already exists for the account scope
+    (duplicate submissions never create a second profile or draft).
+    """
+    inquiry_id = f"pf-inquiry-{account_id}-{animal_id}"
+    binding = inquiry_binding(animal_id)
+    with connect() as connection:
+        existing = connection.execute(
+            "SELECT 1 FROM adopter_profiles WHERE account_id = ?",
+            (account_id,),
+        ).fetchone()
+        if existing is not None:
+            return None
+        connection.execute(
+            "INSERT INTO adopter_profiles (account_id, full_name, email, phone,"
+            " zip_code, housing, animal_id, inquiry_id, created_at)"
+            " VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)",
+            (
+                account_id,
+                fields["full_name"],
+                fields["email"],
+                fields["phone"],
+                fields["zip_code"],
+                fields["housing"],
+                animal_id,
+                inquiry_id,
+                FROZEN_CLOCK,
+            ),
+        )
+        connection.execute(
+            "INSERT INTO inquiries(id,account_id,animal_id,created_at,status,"
+            "listing_owner_id,listing_owner_version,intended_recipient_id)"
+            " VALUES (?, ?, ?, ?, 'draft', ?, ?, ?)",
+            (
+                inquiry_id,
+                account_id,
+                animal_id,
+                FROZEN_CLOCK,
+                binding["listing_owner_id"],
+                binding["listing_owner_version"],
+                binding["intended_recipient_id"],
+            ),
+        )
+        connection.commit()
+    return {"inquiry_id": inquiry_id, **binding}
+
+
+def profile_inquiry_state(account_id: str) -> dict[str, Any]:
+    with connect() as connection:
+        profile = connection.execute(
+            "SELECT * FROM adopter_profiles WHERE account_id=?", (account_id,)
+        ).fetchone()
+        version_row = connection.execute(
+            "SELECT version"
+            " FROM business_adopter_profile_inquiry_version_journal"
+            " WHERE account_id=?",
+            (account_id,),
+        ).fetchone()
+    return {
+        "version": int(version_row["version"]) if version_row else 0,
+        "profile": dict(profile) if profile else None,
+    }
+
+
+def create_profile_and_inquiry_authoritative(
+    account_id: str,
+    animal_id: str,
+    fields: dict[str, str],
+    *,
+    expected_version: int,
+    idempotency_key: str,
+) -> dict[str, Any]:
+    """Create one local inquiry draft atomically with owner/version authority."""
+    if not 8 <= len(idempotency_key) <= 160:
+        raise ValueError("idempotency key must contain 8 to 160 characters")
+    canonical_fields = {
+        key: " ".join(str(fields[key]).split())
+        for key in ("full_name", "email", "phone", "zip_code", "housing")
+    }
+    payload = {
+        "animal_id": animal_id,
+        "expected_version": int(expected_version),
+        "fields": canonical_fields,
+    }
+    _, payload_sha256 = _canonical_payload(payload)
+    inquiry_id = f"pf-inquiry-{account_id}-{animal_id}"
+    binding = inquiry_binding(animal_id)
+    with connect() as connection:
+        connection.execute("BEGIN IMMEDIATE")
+        try:
+            if connection.execute(
+                "SELECT 1 FROM accounts WHERE id=?", (account_id,)
+            ).fetchone() is None:
+                raise PermissionError("account does not exist")
+            animal = connection.execute(
+                "SELECT adoptable FROM animals WHERE id=?", (animal_id,)
+            ).fetchone()
+            if animal is None:
+                raise LookupError("animal does not exist")
+            if not bool(animal["adoptable"]):
+                raise StaleVersionError("animal is no longer adoptable")
+            prior = connection.execute(
+                "SELECT payload_sha256,result_json"
+                " FROM business_adopter_profile_inquiry_command"
+                " WHERE account_id=? AND idempotency_key=?",
+                (account_id, idempotency_key),
+            ).fetchone()
+            if prior is not None:
+                if prior["payload_sha256"] != payload_sha256:
+                    raise IdempotencyConflict(
+                        "idempotency key belongs to another payload"
+                    )
+                result = json.loads(str(prior["result_json"]))
+                connection.commit()
+                return result
+            version_row = connection.execute(
+                "SELECT version"
+                " FROM business_adopter_profile_inquiry_version_journal"
+                " WHERE account_id=?",
+                (account_id,),
+            ).fetchone()
+            current_version = int(version_row["version"]) if version_row else 0
+            if int(expected_version) != current_version:
+                raise StaleVersionError(
+                    f"profile version is {current_version}, not {expected_version}"
+                )
+            if connection.execute(
+                "SELECT 1 FROM adopter_profiles WHERE account_id=?",
+                (account_id,),
+            ).fetchone() is not None:
+                raise StaleVersionError("adopter profile already exists")
+            connection.execute(
+                "INSERT INTO adopter_profiles(account_id,full_name,email,phone,"
+                "zip_code,housing,animal_id,inquiry_id,created_at)"
+                " VALUES (?,?,?,?,?,?,?,?,?)",
+                (
+                    account_id,
+                    canonical_fields["full_name"],
+                    canonical_fields["email"],
+                    canonical_fields["phone"],
+                    canonical_fields["zip_code"],
+                    canonical_fields["housing"],
+                    animal_id,
+                    inquiry_id,
+                    FROZEN_CLOCK,
+                ),
+            )
+            connection.execute(
+                "INSERT INTO inquiries(id,account_id,animal_id,created_at,status,"
+                "listing_owner_id,listing_owner_version,intended_recipient_id)"
+                " VALUES (?,?,?,?, 'draft',?,?,?)",
+                (
+                    inquiry_id,
+                    account_id,
+                    animal_id,
+                    FROZEN_CLOCK,
+                    binding["listing_owner_id"],
+                    binding["listing_owner_version"],
+                    binding["intended_recipient_id"],
+                ),
+            )
+            new_version = current_version + 1
+            connection.execute(
+                "INSERT INTO business_adopter_profile_inquiry_version_journal"
+                "(account_id,version) VALUES (?,?)",
+                (account_id, new_version),
+            )
+            result = {
+                "account_id": account_id,
+                "animal_id": animal_id,
+                "inquiry_id": inquiry_id,
+                "status": "draft",
+                "version": new_version,
+                **binding,
+                "production_remote_request_count": 0,
+                "production_remote_effect_count": 0,
+            }
+            connection.execute(
+                "INSERT INTO business_adopter_profile_inquiry_command"
+                "(account_id,idempotency_key,payload_sha256,expected_version,"
+                "result_json,created_at) VALUES (?,?,?,?,?,?)",
+                (
+                    account_id,
+                    idempotency_key,
+                    payload_sha256,
+                    expected_version,
+                    json.dumps(result, sort_keys=True, separators=(",", ":")),
+                    FROZEN_CLOCK,
+                ),
+            )
+            connection.commit()
+            return result
+        except BaseException:
+            connection.rollback()
+            raise
+
+
+def get_inquiry(inquiry_id: str) -> dict[str, Any] | None:
+    with connect() as connection:
+        row = connection.execute(
+            "SELECT * FROM inquiries WHERE id = ?", (inquiry_id,)
+        ).fetchone()
+    return dict(row) if row else None
+
+
+def inquiry_count() -> int:
+    with connect() as connection:
+        row = connection.execute("SELECT COUNT(*) AS n FROM inquiries").fetchone()
+    return int(row["n"])
+
+
+def profile_count() -> int:
+    with connect() as connection:
+        row = connection.execute(
+            "SELECT COUNT(*) AS n FROM adopter_profiles"
+        ).fetchone()
+    return int(row["n"])

tasks/petfinder/solution/site/implementation/clone/backend/migrations.py

@@ -0,0 +1,362 @@
+"""Forward-only Petfinder domain migrations.
+
+These migrations are additive so an R3 database can be upgraded in place.  The
+legacy tables remain compatibility projections; domain code treats the tables
+below as authoritative for identity, availability, workflow, and ownership.
+"""
+
+from __future__ import annotations
+
+import sqlite3
+
+
+def execute_sql_script(connection: sqlite3.Connection, script: str) -> None:
+    """Execute a migration script without ``executescript`` implicit commits.
+
+    WebsiteBench invokes site migration hooks inside its own transaction.  The
+    standard sqlite ``executescript`` helper commits any active transaction,
+    so migration statements are applied one complete statement at a time.
+    """
+
+    pending = ""
+    for line in script.splitlines(keepends=True):
+        pending += line
+        if sqlite3.complete_statement(pending):
+            statement = pending.strip()
+            if statement:
+                connection.execute(statement)
+            pending = ""
+    if pending.strip():
+        raise ValueError("migration SQL ended with an incomplete statement")
+
+
+def identity_organization_animal_search(connection: sqlite3.Connection) -> None:
+    execute_sql_script(
+        connection,
+        """
+        ALTER TABLE animals ADD COLUMN organization_id TEXT;
+        CREATE TABLE users (
+            id TEXT PRIMARY KEY,
+            account_id TEXT NOT NULL UNIQUE,
+            display_name TEXT NOT NULL,
+            email TEXT NOT NULL,
+            created_at TEXT NOT NULL,
+            version INTEGER NOT NULL DEFAULT 0 CHECK(version >= 0)
+        );
+        CREATE TABLE organizations (
+            id TEXT PRIMARY KEY,
+            name TEXT NOT NULL UNIQUE,
+            logo TEXT,
+            description TEXT NOT NULL DEFAULT '',
+            mission TEXT NOT NULL DEFAULT '',
+            website TEXT,
+            phone TEXT,
+            email TEXT,
+            address_line1 TEXT,
+            city TEXT,
+            state_abbr TEXT,
+            zip_code TEXT,
+            verified INTEGER NOT NULL DEFAULT 0 CHECK(verified IN (0,1)),
+            response_rate INTEGER CHECK(response_rate BETWEEN 0 AND 100),
+            response_time_hours INTEGER CHECK(response_time_hours >= 0),
+            version INTEGER NOT NULL DEFAULT 0 CHECK(version >= 0)
+        );
+        CREATE TABLE organization_staff (
+            organization_id TEXT NOT NULL REFERENCES organizations(id) ON DELETE CASCADE,
+            user_id TEXT NOT NULL REFERENCES users(id) ON DELETE CASCADE,
+            role TEXT NOT NULL CHECK(role IN ('OWNER','ADMIN','STAFF')),
+            created_at TEXT NOT NULL,
+            PRIMARY KEY(organization_id, user_id)
+        );
+        CREATE TABLE animal_profiles (
+            animal_id TEXT PRIMARY KEY REFERENCES animals(id) ON DELETE CASCADE,
+            primary_breed TEXT NOT NULL,
+            secondary_breed TEXT,
+            mixed INTEGER NOT NULL DEFAULT 0 CHECK(mixed IN (0,1)),
+            age TEXT NOT NULL,
+            gender TEXT NOT NULL,
+            size TEXT,
+            color TEXT,
+            coat TEXT,
+            health TEXT NOT NULL DEFAULT '',
+            house_trained INTEGER,
+            good_with_children INTEGER,
+            good_with_dogs INTEGER,
+            good_with_cats INTEGER,
+            personality TEXT NOT NULL DEFAULT '',
+            description TEXT NOT NULL DEFAULT ''
+        );
+        CREATE TABLE animal_status (
+            animal_id TEXT PRIMARY KEY REFERENCES animals(id) ON DELETE CASCADE,
+            status TEXT NOT NULL CHECK(status IN ('AVAILABLE','INTERESTED','PENDING','ADOPTED','FOUND','REMOVED')),
+            version INTEGER NOT NULL DEFAULT 0 CHECK(version >= 0),
+            updated_at TEXT NOT NULL
+        );
+        CREATE TABLE animal_status_events (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            animal_id TEXT NOT NULL REFERENCES animals(id) ON DELETE CASCADE,
+            old_status TEXT CHECK(old_status IS NULL OR old_status IN ('AVAILABLE','INTERESTED','PENDING','ADOPTED','FOUND','REMOVED')),
+            new_status TEXT NOT NULL CHECK(new_status IN ('AVAILABLE','INTERESTED','PENDING','ADOPTED','FOUND','REMOVED')),
+            actor_user_id TEXT REFERENCES users(id),
+            created_at TEXT NOT NULL,
+            reason TEXT NOT NULL DEFAULT '',
+            idempotency_key TEXT NOT NULL,
+            UNIQUE(animal_id, idempotency_key)
+        );
+        CREATE TABLE locations (
+            zip_code TEXT PRIMARY KEY,
+            city TEXT NOT NULL,
+            state_abbr TEXT NOT NULL,
+            latitude REAL NOT NULL,
+            longitude REAL NOT NULL
+        );
+        CREATE TABLE pet_search_documents (
+            animal_id TEXT PRIMARY KEY REFERENCES animals(id) ON DELETE CASCADE,
+            keywords TEXT NOT NULL,
+            species TEXT NOT NULL,
+            breed TEXT NOT NULL,
+            location_zip TEXT NOT NULL REFERENCES locations(zip_code),
+            traits TEXT NOT NULL DEFAULT '',
+            availability TEXT NOT NULL,
+            indexed_at TEXT NOT NULL
+        );
+        CREATE INDEX idx_pet_search_facets ON pet_search_documents(species, breed, availability);
+        CREATE INDEX idx_animal_status_value ON animal_status(status, animal_id);
+        """
+    )
+
+
+def personalization_content(connection: sqlite3.Connection) -> None:
+    execute_sql_script(
+        connection,
+        """
+        ALTER TABLE favorites ADD COLUMN source TEXT NOT NULL DEFAULT 'profile';
+        ALTER TABLE favorites ADD COLUMN last_viewed TEXT;
+        CREATE TABLE favorite_collections (
+            id TEXT PRIMARY KEY,
+            user_id TEXT NOT NULL REFERENCES users(id) ON DELETE CASCADE,
+            name TEXT NOT NULL,
+            is_default INTEGER NOT NULL DEFAULT 0 CHECK(is_default IN (0,1)),
+            created_at TEXT NOT NULL,
+            version INTEGER NOT NULL DEFAULT 0,
+            UNIQUE(user_id, name)
+        );
+        CREATE UNIQUE INDEX idx_favorite_default ON favorite_collections(user_id) WHERE is_default=1;
+        CREATE TABLE favorite_collection_items (
+            collection_id TEXT NOT NULL REFERENCES favorite_collections(id) ON DELETE CASCADE,
+            animal_id TEXT NOT NULL REFERENCES animals(id) ON DELETE CASCADE,
+            created_at TEXT NOT NULL,
+            PRIMARY KEY(collection_id, animal_id)
+        );
+        CREATE TABLE saved_searches (
+            id TEXT PRIMARY KEY,
+            user_id TEXT NOT NULL REFERENCES users(id) ON DELETE CASCADE,
+            name TEXT NOT NULL,
+            query_json TEXT NOT NULL,
+            created_at TEXT NOT NULL,
+            updated_at TEXT NOT NULL,
+            version INTEGER NOT NULL DEFAULT 0,
+            UNIQUE(user_id, name)
+        );
+        CREATE TABLE search_alerts (
+            id TEXT PRIMARY KEY,
+            saved_search_id TEXT NOT NULL UNIQUE REFERENCES saved_searches(id) ON DELETE CASCADE,
+            enabled INTEGER NOT NULL DEFAULT 1 CHECK(enabled IN (0,1)),
+            last_evaluated_at TEXT
+        );
+        CREATE TABLE recently_viewed_pets (
+            user_id TEXT NOT NULL REFERENCES users(id) ON DELETE CASCADE,
+            animal_id TEXT NOT NULL REFERENCES animals(id) ON DELETE CASCADE,
+            viewed_at TEXT NOT NULL,
+            PRIMARY KEY(user_id, animal_id)
+        );
+        CREATE TABLE user_preferences (
+            user_id TEXT PRIMARY KEY REFERENCES users(id) ON DELETE CASCADE,
+            species TEXT,
+            breeds TEXT NOT NULL DEFAULT '',
+            sizes TEXT NOT NULL DEFAULT '',
+            location_zip TEXT,
+            radius_miles INTEGER NOT NULL DEFAULT 100 CHECK(radius_miles BETWEEN 1 AND 500),
+            email_alerts INTEGER NOT NULL DEFAULT 0 CHECK(email_alerts IN (0,1)),
+            version INTEGER NOT NULL DEFAULT 0,
+            updated_at TEXT NOT NULL
+        );
+        CREATE TABLE user_activity (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            user_id TEXT NOT NULL REFERENCES users(id) ON DELETE CASCADE,
+            kind TEXT NOT NULL,
+            subject_id TEXT NOT NULL,
+            metadata_json TEXT NOT NULL DEFAULT '{}',
+            created_at TEXT NOT NULL
+        );
+        CREATE TABLE recommendation_cache (
+            user_id TEXT NOT NULL REFERENCES users(id) ON DELETE CASCADE,
+            animal_id TEXT NOT NULL REFERENCES animals(id) ON DELETE CASCADE,
+            score REAL NOT NULL,
+            reasons_json TEXT NOT NULL,
+            generated_at TEXT NOT NULL,
+            PRIMARY KEY(user_id, animal_id)
+        );
+        CREATE TABLE domain_idempotency_commands (
+            user_id TEXT NOT NULL REFERENCES users(id) ON DELETE CASCADE,
+            command_kind TEXT NOT NULL,
+            idempotency_key TEXT NOT NULL,
+            payload_sha256 TEXT NOT NULL,
+            result_json TEXT NOT NULL,
+            created_at TEXT NOT NULL,
+            PRIMARY KEY(user_id, command_kind, idempotency_key)
+        );
+        CREATE TABLE article_categories (
+            id TEXT PRIMARY KEY,
+            slug TEXT NOT NULL UNIQUE,
+            name TEXT NOT NULL
+        );
+        CREATE TABLE articles (
+            id TEXT PRIMARY KEY,
+            category_id TEXT REFERENCES article_categories(id),
+            slug TEXT NOT NULL UNIQUE,
+            title TEXT NOT NULL,
+            summary TEXT NOT NULL,
+            body TEXT NOT NULL,
+            species TEXT,
+            status TEXT NOT NULL CHECK(status IN ('draft','published')),
+            published_at TEXT
+        );
+        CREATE TABLE pet_guides (
+            id TEXT PRIMARY KEY,
+            slug TEXT NOT NULL UNIQUE,
+            title TEXT NOT NULL,
+            summary TEXT NOT NULL,
+            body TEXT NOT NULL,
+            species TEXT,
+            status TEXT NOT NULL CHECK(status IN ('draft','published')),
+            published_at TEXT
+        );
+        """
+    )
+
+
+def adoption_communication_review(connection: sqlite3.Connection) -> None:
+    execute_sql_script(
+        connection,
+        """
+        CREATE TABLE adoption_applications (
+            id TEXT PRIMARY KEY,
+            user_id TEXT NOT NULL REFERENCES users(id),
+            animal_id TEXT NOT NULL REFERENCES animals(id),
+            organization_id TEXT NOT NULL REFERENCES organizations(id),
+            inquiry_id TEXT REFERENCES inquiries(id),
+            status TEXT NOT NULL CHECK(status IN ('DRAFT','SUBMITTED','UNDER_REVIEW','INTERVIEW','APPROVED','REJECTED','WITHDRAWN','ADOPTED')),
+            version INTEGER NOT NULL DEFAULT 0,
+            created_at TEXT NOT NULL,
+            updated_at TEXT NOT NULL,
+            submitted_at TEXT,
+            UNIQUE(user_id, animal_id)
+        );
+        CREATE TABLE application_answers (
+            application_id TEXT NOT NULL REFERENCES adoption_applications(id) ON DELETE CASCADE,
+            question_key TEXT NOT NULL,
+            answer TEXT NOT NULL,
+            updated_at TEXT NOT NULL,
+            PRIMARY KEY(application_id, question_key)
+        );
+        CREATE TABLE application_events (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            application_id TEXT NOT NULL REFERENCES adoption_applications(id) ON DELETE CASCADE,
+            old_status TEXT,
+            new_status TEXT NOT NULL,
+            actor_user_id TEXT NOT NULL REFERENCES users(id),
+            note TEXT NOT NULL DEFAULT '',
+            created_at TEXT NOT NULL,
+            idempotency_key TEXT NOT NULL,
+            UNIQUE(application_id, idempotency_key)
+        );
+        CREATE TABLE conversations (
+            id TEXT PRIMARY KEY,
+            animal_id TEXT NOT NULL REFERENCES animals(id),
+            organization_id TEXT NOT NULL REFERENCES organizations(id),
+            adopter_user_id TEXT NOT NULL REFERENCES users(id),
+            inquiry_id TEXT REFERENCES inquiries(id),
+            application_id TEXT REFERENCES adoption_applications(id),
+            created_at TEXT NOT NULL,
+            UNIQUE(animal_id, adopter_user_id)
+        );
+        CREATE TABLE messages (
+            id TEXT PRIMARY KEY,
+            conversation_id TEXT NOT NULL REFERENCES conversations(id) ON DELETE CASCADE,
+            sender_user_id TEXT NOT NULL REFERENCES users(id),
+            content TEXT NOT NULL CHECK(length(content) BETWEEN 1 AND 5000),
+            created_at TEXT NOT NULL,
+            read_at TEXT,
+            idempotency_key TEXT NOT NULL,
+            UNIQUE(conversation_id, idempotency_key)
+        );
+        CREATE TABLE notifications (
+            id TEXT PRIMARY KEY,
+            user_id TEXT NOT NULL REFERENCES users(id) ON DELETE CASCADE,
+            type TEXT NOT NULL CHECK(type IN ('favorite_update','application_update','new_match','message_received')),
+            subject_id TEXT NOT NULL,
+            body TEXT NOT NULL,
+            created_at TEXT NOT NULL,
+            read_at TEXT,
+            dedupe_key TEXT NOT NULL,
+            UNIQUE(user_id, dedupe_key)
+        );
+        CREATE TABLE organization_reviews (
+            id TEXT PRIMARY KEY,
+            organization_id TEXT NOT NULL REFERENCES organizations(id),
+            user_id TEXT NOT NULL REFERENCES users(id),
+            application_id TEXT NOT NULL UNIQUE REFERENCES adoption_applications(id),
+            rating INTEGER NOT NULL CHECK(rating BETWEEN 1 AND 5),
+            adoption_experience TEXT NOT NULL,
+            created_at TEXT NOT NULL,
+            version INTEGER NOT NULL DEFAULT 0,
+            UNIQUE(organization_id, user_id)
+        );
+        CREATE INDEX idx_applications_user ON adoption_applications(user_id, updated_at DESC);
+        CREATE INDEX idx_applications_org ON adoption_applications(organization_id, status, updated_at DESC);
+        CREATE INDEX idx_messages_conversation ON messages(conversation_id, created_at, id);
+        CREATE INDEX idx_notifications_user ON notifications(user_id, read_at, created_at DESC);
+        """
+    )
+
+
+def support_payment_overlay(connection: sqlite3.Connection) -> None:
+    """Add the site-owned snapshot consumed by the shared payment ledger."""
+
+    execute_sql_script(
+        connection,
+        """
+        CREATE TABLE support_checkouts (
+            checkout_id TEXT PRIMARY KEY,
+            account_id TEXT NOT NULL REFERENCES accounts(id) ON DELETE CASCADE,
+            tier_id TEXT NOT NULL,
+            amount_minor INTEGER NOT NULL CHECK(amount_minor > 0),
+            currency TEXT NOT NULL CHECK(currency = 'USD'),
+            fingerprint TEXT NOT NULL CHECK(length(fingerprint) = 64),
+            flow_id TEXT NOT NULL UNIQUE,
+            adapter TEXT NOT NULL CHECK(adapter IN ('local-sandbox','stripe-test')),
+            provider_session_id TEXT UNIQUE,
+            status TEXT NOT NULL CHECK(status IN ('PENDING','DECLINED','COMPLETED','CANCELLED')),
+            idempotency_key TEXT NOT NULL,
+            version INTEGER NOT NULL DEFAULT 0 CHECK(version >= 0),
+            created_at TEXT NOT NULL,
+            updated_at TEXT NOT NULL,
+            UNIQUE(account_id, idempotency_key)
+        );
+        CREATE TABLE support_receipts (
+            receipt_id TEXT PRIMARY KEY,
+            checkout_id TEXT NOT NULL UNIQUE REFERENCES support_checkouts(checkout_id) ON DELETE CASCADE,
+            account_id TEXT NOT NULL REFERENCES accounts(id) ON DELETE CASCADE,
+            amount_minor INTEGER NOT NULL CHECK(amount_minor > 0),
+            currency TEXT NOT NULL CHECK(currency = 'USD'),
+            payment_attempt_id TEXT NOT NULL UNIQUE,
+            receipt_mail_id TEXT,
+            created_at TEXT NOT NULL
+        );
+        CREATE INDEX idx_support_checkouts_owner
+            ON support_checkouts(account_id, created_at DESC, checkout_id);
+        CREATE INDEX idx_support_receipts_owner
+            ON support_receipts(account_id, created_at DESC, receipt_id);
+        """,
+    )

tasks/petfinder/solution/site/implementation/clone/backend/policies.py

@@ -0,0 +1,48 @@
+"""Server-side authorization policies for Petfinder domain objects."""
+
+from __future__ import annotations
+
+import sqlite3
+
+
+class AuthorizationDenied(PermissionError):
+    pass
+
+
+def require_owner(actor_user_id: str, owner_user_id: str) -> None:
+    if not actor_user_id or actor_user_id != owner_user_id:
+        raise AuthorizationDenied("the authenticated user does not own this resource")
+
+
+def require_organization_staff(
+    connection: sqlite3.Connection,
+    actor_user_id: str,
+    organization_id: str,
+    *,
+    roles: tuple[str, ...] = ("OWNER", "ADMIN", "STAFF"),
+) -> str:
+    row = connection.execute(
+        "SELECT role FROM organization_staff WHERE user_id=? AND organization_id=?",
+        (actor_user_id, organization_id),
+    ).fetchone()
+    if row is None or row["role"] not in roles:
+        raise AuthorizationDenied("organization staff permission is required")
+    return str(row["role"])
+
+
+def can_view_conversation(
+    connection: sqlite3.Connection, actor_user_id: str, conversation_id: str
+) -> bool:
+    row = connection.execute(
+        "SELECT adopter_user_id,organization_id FROM conversations WHERE id=?",
+        (conversation_id,),
+    ).fetchone()
+    if row is None:
+        return False
+    if row["adopter_user_id"] == actor_user_id:
+        return True
+    staff = connection.execute(
+        "SELECT 1 FROM organization_staff WHERE user_id=? AND organization_id=?",
+        (actor_user_id, row["organization_id"]),
+    ).fetchone()
+    return staff is not None

tasks/petfinder/solution/site/implementation/clone/backend/repositories.py

@@ -0,0 +1,67 @@
+"""Small SQLite repositories; domain transitions live in services.py."""
+
+from __future__ import annotations
+
+import json
+import sqlite3
+from typing import Any
+
+
+class ApplicationRepository:
+    def __init__(self, connection: sqlite3.Connection):
+        self.connection = connection
+
+    def get(self, application_id: str) -> dict[str, Any] | None:
+        row = self.connection.execute(
+            "SELECT * FROM adoption_applications WHERE id=?", (application_id,)
+        ).fetchone()
+        return dict(row) if row else None
+
+    def list_for_user(self, user_id: str) -> list[dict[str, Any]]:
+        rows = self.connection.execute(
+            "SELECT a.*,animals.name AS animal_name,organizations.name AS organization_name "
+            "FROM adoption_applications a JOIN animals ON animals.id=a.animal_id "
+            "JOIN organizations ON organizations.id=a.organization_id "
+            "WHERE a.user_id=? ORDER BY a.updated_at DESC,a.id",
+            (user_id,),
+        ).fetchall()
+        return [dict(row) for row in rows]
+
+
+class PersonalizationRepository:
+    def __init__(self, connection: sqlite3.Connection):
+        self.connection = connection
+
+    def saved_searches(self, user_id: str) -> list[dict[str, Any]]:
+        rows = self.connection.execute(
+            "SELECT * FROM saved_searches WHERE user_id=? ORDER BY updated_at DESC,id",
+            (user_id,),
+        ).fetchall()
+        result = []
+        for row in rows:
+            item = dict(row)
+            item["query"] = json.loads(item.pop("query_json"))
+            result.append(item)
+        return result
+
+    def preferences(self, user_id: str) -> dict[str, Any] | None:
+        row = self.connection.execute(
+            "SELECT * FROM user_preferences WHERE user_id=?", (user_id,)
+        ).fetchone()
+        return dict(row) if row else None
+
+
+class MessagingRepository:
+    def __init__(self, connection: sqlite3.Connection):
+        self.connection = connection
+
+    def conversations(self, user_id: str) -> list[dict[str, Any]]:
+        rows = self.connection.execute(
+            "SELECT DISTINCT c.*,animals.name AS animal_name,organizations.name AS organization_name "
+            "FROM conversations c JOIN animals ON animals.id=c.animal_id "
+            "JOIN organizations ON organizations.id=c.organization_id "
+            "LEFT JOIN organization_staff s ON s.organization_id=c.organization_id "
+            "WHERE c.adopter_user_id=? OR s.user_id=? ORDER BY c.created_at DESC,c.id",
+            (user_id, user_id),
+        ).fetchall()
+        return [dict(row) for row in rows]

tasks/petfinder/solution/site/implementation/clone/backend/services.py

@@ -0,0 +1,374 @@
+"""Transactional Petfinder domain services.
+
+All identities are server-resolved user ids.  Callers cannot provide an owner
+or organization scope that bypasses the policy checks in this module.
+"""
+
+from __future__ import annotations
+
+import hashlib
+import json
+import sqlite3
+from typing import Any, Callable
+
+from petfinder_domain_policies import AuthorizationDenied, can_view_conversation, require_organization_staff, require_owner
+
+
+class DomainConflict(RuntimeError):
+    pass
+
+
+class DomainValidation(ValueError):
+    pass
+
+
+APPLICATION_TRANSITIONS = {
+    "DRAFT": {"SUBMITTED"},
+    "SUBMITTED": {"UNDER_REVIEW", "WITHDRAWN"},
+    "UNDER_REVIEW": {"INTERVIEW", "APPROVED", "REJECTED", "WITHDRAWN"},
+    "INTERVIEW": {"APPROVED", "REJECTED", "WITHDRAWN"},
+    "APPROVED": {"ADOPTED", "WITHDRAWN"},
+    "REJECTED": set(),
+    "WITHDRAWN": set(),
+    "ADOPTED": set(),
+}
+ADOPTER_TRANSITIONS = {("DRAFT", "SUBMITTED"), ("SUBMITTED", "WITHDRAWN"),
+                       ("UNDER_REVIEW", "WITHDRAWN"), ("INTERVIEW", "WITHDRAWN"),
+                       ("APPROVED", "WITHDRAWN")}
+ANIMAL_TRANSITIONS = {
+    "AVAILABLE": {"INTERESTED", "PENDING", "ADOPTED", "FOUND", "REMOVED"},
+    "INTERESTED": {"AVAILABLE", "PENDING", "ADOPTED", "REMOVED"},
+    "PENDING": {"AVAILABLE", "ADOPTED", "REMOVED"},
+    "FOUND": {"AVAILABLE", "REMOVED"},
+    "ADOPTED": set(),
+    "REMOVED": set(),
+}
+
+
+def _stable_id(prefix: str, *parts: str) -> str:
+    value = ":".join(parts)
+    return f"{prefix}-{hashlib.sha256(value.encode()).hexdigest()[:24]}"
+
+
+class DomainService:
+    def __init__(self, connect: Callable[[], sqlite3.Connection], clock: str):
+        self.connect = connect
+        self.clock = clock
+
+    def save_search(
+        self, actor: str, name: str, query: dict[str, Any], *, expected_version: int,
+        idempotency_key: str,
+    ) -> dict[str, Any]:
+        normalized_name = " ".join(name.split())
+        if not normalized_name or len(normalized_name) > 120 or not idempotency_key:
+            raise DomainValidation("name and idempotency key are required")
+        canonical = json.dumps(query, sort_keys=True, separators=(",", ":"))
+        command_payload = json.dumps(
+            {"name": normalized_name, "query": query, "expected_version": expected_version},
+            sort_keys=True, separators=(",", ":"),
+        )
+        payload_sha = hashlib.sha256(command_payload.encode()).hexdigest()
+        search_id = _stable_id("search", actor, idempotency_key)
+        with self.connect() as connection:
+            connection.execute("BEGIN IMMEDIATE")
+            command = connection.execute(
+                "SELECT payload_sha256,result_json FROM domain_idempotency_commands "
+                "WHERE user_id=? AND command_kind='saved-search' AND idempotency_key=?",
+                (actor, idempotency_key),
+            ).fetchone()
+            if command:
+                if command["payload_sha256"] != payload_sha:
+                    raise DomainConflict("idempotency key was reused with another saved search")
+                return json.loads(command["result_json"])
+            existing = connection.execute(
+                "SELECT * FROM saved_searches WHERE user_id=? AND name=?", (actor, normalized_name)
+            ).fetchone()
+            if existing and int(existing["version"]) != expected_version:
+                raise DomainConflict("saved search version is stale")
+            if existing:
+                connection.execute(
+                    "UPDATE saved_searches SET query_json=?,updated_at=?,version=version+1 WHERE id=?",
+                    (canonical, self.clock, existing["id"]),
+                )
+                search_id = str(existing["id"])
+            else:
+                if expected_version != 0:
+                    raise DomainConflict("saved search version is stale")
+                connection.execute(
+                    "INSERT INTO saved_searches(id,user_id,name,query_json,created_at,updated_at)"
+                    " VALUES(?,?,?,?,?,?)",
+                    (search_id, actor, normalized_name, canonical, self.clock, self.clock),
+                )
+                connection.execute(
+                    "INSERT INTO search_alerts(id,saved_search_id) VALUES(?,?)",
+                    (_stable_id("alert", search_id), search_id),
+                )
+            result = dict(connection.execute("SELECT * FROM saved_searches WHERE id=?", (search_id,)).fetchone())
+            connection.execute(
+                "INSERT INTO domain_idempotency_commands(user_id,command_kind,idempotency_key,payload_sha256,result_json,created_at)"
+                " VALUES(?,'saved-search',?,?,?,?)",
+                (actor, idempotency_key, payload_sha, json.dumps(result, sort_keys=True), self.clock),
+            )
+            connection.execute("DELETE FROM recommendation_cache WHERE user_id=?", (actor,))
+            return result
+
+    def update_preferences(
+        self, actor: str, values: dict[str, Any], *, expected_version: int,
+        idempotency_key: str,
+    ) -> dict[str, Any]:
+        radius = int(values.get("radius_miles", 100))
+        if not 1 <= radius <= 500:
+            raise DomainValidation("radius must be between 1 and 500 miles")
+        if not idempotency_key:
+            raise DomainValidation("idempotency key is required")
+        canonical_values = {
+            key: values.get(key) for key in
+            ("species", "breeds", "sizes", "location_zip", "email_alerts")
+        }
+        canonical_values["radius_miles"] = radius
+        canonical_values["expected_version"] = expected_version
+        payload_sha = hashlib.sha256(
+            json.dumps(canonical_values, sort_keys=True, separators=(",", ":")).encode()
+        ).hexdigest()
+        with self.connect() as connection:
+            connection.execute("BEGIN IMMEDIATE")
+            command = connection.execute(
+                "SELECT payload_sha256,result_json FROM domain_idempotency_commands "
+                "WHERE user_id=? AND command_kind='preferences' AND idempotency_key=?",
+                (actor, idempotency_key),
+            ).fetchone()
+            if command:
+                if command["payload_sha256"] != payload_sha:
+                    raise DomainConflict("idempotency key was reused with other preferences")
+                return json.loads(command["result_json"])
+            row = connection.execute("SELECT version FROM user_preferences WHERE user_id=?", (actor,)).fetchone()
+            current = int(row["version"]) if row else 0
+            if current != expected_version:
+                raise DomainConflict("preferences version is stale")
+            connection.execute(
+                "INSERT INTO user_preferences(user_id,species,breeds,sizes,location_zip,radius_miles,email_alerts,version,updated_at)"
+                " VALUES(?,?,?,?,?,?,?,?,?) ON CONFLICT(user_id) DO UPDATE SET species=excluded.species,"
+                "breeds=excluded.breeds,sizes=excluded.sizes,location_zip=excluded.location_zip,"
+                "radius_miles=excluded.radius_miles,email_alerts=excluded.email_alerts,"
+                "version=user_preferences.version+1,updated_at=excluded.updated_at",
+                (actor, values.get("species") or None, values.get("breeds", ""), values.get("sizes", ""),
+                 values.get("location_zip") or None, radius, int(bool(values.get("email_alerts"))),
+                 0, self.clock),
+            )
+            result = dict(connection.execute("SELECT * FROM user_preferences WHERE user_id=?", (actor,)).fetchone())
+            connection.execute(
+                "INSERT INTO domain_idempotency_commands(user_id,command_kind,idempotency_key,payload_sha256,result_json,created_at)"
+                " VALUES(?,'preferences',?,?,?,?)",
+                (actor, idempotency_key, payload_sha, json.dumps(result, sort_keys=True), self.clock),
+            )
+            connection.execute("DELETE FROM recommendation_cache WHERE user_id=?", (actor,))
+            return result
+
+    def create_application(self, actor: str, animal_id: str, inquiry_id: str | None = None) -> dict[str, Any]:
+        with self.connect() as connection:
+            connection.execute("BEGIN IMMEDIATE")
+            animal = connection.execute(
+                "SELECT a.organization_id,s.status FROM animals a JOIN animal_status s ON s.animal_id=a.id WHERE a.id=?",
+                (animal_id,),
+            ).fetchone()
+            if animal is None:
+                raise LookupError("animal not found")
+            if animal["status"] != "AVAILABLE":
+                raise DomainConflict("animal is no longer available")
+            application_id = _stable_id("application", actor, animal_id)
+            connection.execute(
+                "INSERT OR IGNORE INTO adoption_applications(id,user_id,animal_id,organization_id,inquiry_id,status,created_at,updated_at)"
+                " VALUES(?,?,?,?,?,'DRAFT',?,?)",
+                (application_id, actor, animal_id, animal["organization_id"], inquiry_id, self.clock, self.clock),
+            )
+            return dict(connection.execute("SELECT * FROM adoption_applications WHERE id=?", (application_id,)).fetchone())
+
+    def transition_application(
+        self, actor: str, application_id: str, new_status: str, *, expected_version: int,
+        idempotency_key: str, note: str = "",
+    ) -> dict[str, Any]:
+        if not idempotency_key:
+            raise DomainValidation("idempotency key is required")
+        with self.connect() as connection:
+            connection.execute("BEGIN IMMEDIATE")
+            row = connection.execute("SELECT * FROM adoption_applications WHERE id=?", (application_id,)).fetchone()
+            if row is None:
+                raise LookupError("application not found")
+            old = str(row["status"])
+            duplicate = connection.execute(
+                "SELECT new_status FROM application_events WHERE application_id=? AND idempotency_key=?",
+                (application_id, idempotency_key),
+            ).fetchone()
+            if duplicate:
+                if duplicate["new_status"] != new_status:
+                    raise DomainConflict("idempotency key was reused for another transition")
+                return dict(row)
+            if int(row["version"]) != expected_version:
+                raise DomainConflict("application version is stale")
+            if new_status not in APPLICATION_TRANSITIONS.get(old, set()):
+                raise DomainConflict(f"illegal application transition {old} -> {new_status}")
+            if (old, new_status) in ADOPTER_TRANSITIONS:
+                require_owner(actor, str(row["user_id"]))
+            else:
+                require_organization_staff(connection, actor, str(row["organization_id"]))
+            if new_status == "ADOPTED":
+                animal_state = connection.execute(
+                    "SELECT status,version FROM animal_status WHERE animal_id=?", (row["animal_id"],)
+                ).fetchone()
+                if animal_state is None or "ADOPTED" not in ANIMAL_TRANSITIONS.get(str(animal_state["status"]), set()):
+                    raise DomainConflict("animal cannot transition to ADOPTED from its current status")
+                connection.execute(
+                    "UPDATE animal_status SET status='ADOPTED',version=version+1,updated_at=? WHERE animal_id=?",
+                    (self.clock, row["animal_id"]),
+                )
+                connection.execute(
+                    "UPDATE pet_search_documents SET availability='ADOPTED',indexed_at=? WHERE animal_id=?",
+                    (self.clock, row["animal_id"]),
+                )
+                connection.execute("DELETE FROM recommendation_cache WHERE animal_id=?", (row["animal_id"],))
+                connection.execute(
+                    "INSERT INTO animal_status_events(animal_id,old_status,new_status,actor_user_id,created_at,reason,idempotency_key)"
+                    " VALUES(?,?,'ADOPTED',?,?,?,?)",
+                    (row["animal_id"], animal_state["status"], actor, self.clock,
+                     f"Completed application {application_id}", f"application:{idempotency_key}"),
+                )
+            connection.execute(
+                "UPDATE adoption_applications SET status=?,version=version+1,updated_at=?,"
+                "submitted_at=CASE WHEN ?='SUBMITTED' THEN ? ELSE submitted_at END WHERE id=?",
+                (new_status, self.clock, new_status, self.clock, application_id),
+            )
+            connection.execute(
+                "INSERT INTO application_events(application_id,old_status,new_status,actor_user_id,note,created_at,idempotency_key)"
+                " VALUES(?,?,?,?,?,?,?)",
+                (application_id, old, new_status, actor, note, self.clock, idempotency_key),
+            )
+            if new_status == "SUBMITTED":
+                conversation_id = _stable_id("conversation", str(row["user_id"]), str(row["animal_id"]))
+                connection.execute(
+                    "INSERT OR IGNORE INTO conversations(id,animal_id,organization_id,adopter_user_id,inquiry_id,application_id,created_at)"
+                    " VALUES(?,?,?,?,?,?,?)",
+                    (conversation_id, row["animal_id"], row["organization_id"], row["user_id"],
+                     row["inquiry_id"], application_id, self.clock),
+                )
+            connection.execute(
+                "INSERT OR IGNORE INTO notifications(id,user_id,type,subject_id,body,created_at,dedupe_key)"
+                " VALUES(?,?,'application_update',?,?,?,?)",
+                (_stable_id("notification", application_id, idempotency_key), row["user_id"], application_id,
+                 f"Application status changed to {new_status}.", self.clock,
+                 f"application:{application_id}:{idempotency_key}"),
+            )
+            return dict(connection.execute("SELECT * FROM adoption_applications WHERE id=?", (application_id,)).fetchone())
+
+    def transition_animal(
+        self, actor: str, animal_id: str, new_status: str, *, expected_version: int,
+        idempotency_key: str, reason: str = "",
+    ) -> dict[str, Any]:
+        with self.connect() as connection:
+            connection.execute("BEGIN IMMEDIATE")
+            row = connection.execute(
+                "SELECT s.*,a.organization_id FROM animal_status s JOIN animals a ON a.id=s.animal_id WHERE s.animal_id=?",
+                (animal_id,),
+            ).fetchone()
+            if row is None:
+                raise LookupError("animal not found")
+            require_organization_staff(connection, actor, str(row["organization_id"]))
+            duplicate = connection.execute(
+                "SELECT new_status FROM animal_status_events WHERE animal_id=? AND idempotency_key=?",
+                (animal_id, idempotency_key),
+            ).fetchone()
+            if duplicate:
+                if duplicate["new_status"] != new_status:
+                    raise DomainConflict("idempotency key was reused for another status")
+                return dict(row)
+            old = str(row["status"])
+            if int(row["version"]) != expected_version:
+                raise DomainConflict("animal status version is stale")
+            if new_status not in ANIMAL_TRANSITIONS.get(old, set()):
+                raise DomainConflict(f"illegal animal transition {old} -> {new_status}")
+            connection.execute(
+                "UPDATE animal_status SET status=?,version=version+1,updated_at=? WHERE animal_id=?",
+                (new_status, self.clock, animal_id),
+            )
+            connection.execute(
+                "UPDATE pet_search_documents SET availability=?,indexed_at=? WHERE animal_id=?",
+                (new_status, self.clock, animal_id),
+            )
+            connection.execute("DELETE FROM recommendation_cache WHERE animal_id=?", (animal_id,))
+            connection.execute(
+                "INSERT INTO animal_status_events(animal_id,old_status,new_status,actor_user_id,created_at,reason,idempotency_key)"
+                " VALUES(?,?,?,?,?,?,?)",
+                (animal_id, old, new_status, actor, self.clock, reason, idempotency_key),
+            )
+            return dict(connection.execute("SELECT * FROM animal_status WHERE animal_id=?", (animal_id,)).fetchone())
+
+    def send_message(
+        self, actor: str, conversation_id: str, content: str, *, idempotency_key: str
+    ) -> dict[str, Any]:
+        normalized = content.strip()
+        if not 1 <= len(normalized) <= 5000 or not idempotency_key:
+            raise DomainValidation("message content and idempotency key are required")
+        with self.connect() as connection:
+            connection.execute("BEGIN IMMEDIATE")
+            conversation = connection.execute(
+                "SELECT * FROM conversations WHERE id=?", (conversation_id,)
+            ).fetchone()
+            if conversation is None:
+                raise LookupError("conversation not found")
+            if not can_view_conversation(connection, actor, conversation_id):
+                raise AuthorizationDenied("conversation is outside the authenticated scope")
+            message_id = _stable_id("message", conversation_id, idempotency_key)
+            existing = connection.execute(
+                "SELECT * FROM messages WHERE conversation_id=? AND idempotency_key=?",
+                (conversation_id, idempotency_key),
+            ).fetchone()
+            if existing:
+                if existing["content"] != normalized or existing["sender_user_id"] != actor:
+                    raise DomainConflict("idempotency key was reused for another message")
+                return dict(existing)
+            connection.execute(
+                "INSERT INTO messages(id,conversation_id,sender_user_id,content,created_at,idempotency_key)"
+                " VALUES(?,?,?,?,?,?)",
+                (message_id, conversation_id, actor, normalized, self.clock, idempotency_key),
+            )
+            recipient = str(conversation["adopter_user_id"])
+            if recipient == actor:
+                staff = connection.execute(
+                    "SELECT user_id FROM organization_staff WHERE organization_id=? ORDER BY role,user_id LIMIT 1",
+                    (conversation["organization_id"],),
+                ).fetchone()
+                recipient = str(staff["user_id"]) if staff else ""
+            if recipient:
+                connection.execute(
+                    "INSERT OR IGNORE INTO notifications(id,user_id,type,subject_id,body,created_at,dedupe_key)"
+                    " VALUES(?,?,'message_received',?,?,?,?)",
+                    (_stable_id("notification", message_id), recipient, conversation_id,
+                     "You have a new local message.", self.clock, f"message:{message_id}"),
+                )
+            return dict(connection.execute("SELECT * FROM messages WHERE id=?", (message_id,)).fetchone())
+
+    def create_review(
+        self, actor: str, application_id: str, rating: int, experience: str,
+        *, organization_id: str | None = None,
+    ) -> dict[str, Any]:
+        if not 1 <= int(rating) <= 5 or not experience.strip():
+            raise DomainValidation("a rating from 1 to 5 and adoption experience are required")
+        with self.connect() as connection:
+            connection.execute("BEGIN IMMEDIATE")
+            application = connection.execute(
+                "SELECT * FROM adoption_applications WHERE id=?", (application_id,)
+            ).fetchone()
+            if application is None:
+                raise LookupError("application not found")
+            require_owner(actor, str(application["user_id"]))
+            if organization_id is not None and application["organization_id"] != organization_id:
+                raise LookupError("application not found")
+            if application["status"] != "ADOPTED":
+                raise DomainConflict("only a completed local adoption can be reviewed")
+            review_id = _stable_id("review", actor, str(application["organization_id"]))
+            connection.execute(
+                "INSERT INTO organization_reviews(id,organization_id,user_id,application_id,rating,adoption_experience,created_at)"
+                " VALUES(?,?,?,?,?,?,?)",
+                (review_id, application["organization_id"], actor, application_id,
+                 int(rating), experience.strip(), self.clock),
+            )
+            return dict(connection.execute("SELECT * FROM organization_reviews WHERE id=?", (review_id,)).fetchone())

tasks/petfinder/solution/site/implementation/clone/backend/site_backend_integration.py

@@ -0,0 +1,125 @@
+"""Generated, site-bound backend integration seam."""
+
+from __future__ import annotations
+
+import importlib
+import json
+import os
+import secrets
+import sqlite3
+from pathlib import Path
+from typing import Any, Callable
+
+from websitebench.local_clone_auth import (
+    MAIL_LOCAL_ONLY,
+    MAIL_SMTP_PENDING,
+    LocalAuthStore,
+)
+from websitebench.site_backend import SiteBackend, load_runtime
+
+
+DEFAULT_RUNTIME_PATH = (
+    Path(__file__).resolve().parents[2] / "backend" / "runtime.json"
+)
+_AUTH_MAIL_WORKER_TOKEN = secrets.token_urlsafe(32)
+
+
+def _deployment_profile(runtime: Any) -> dict[str, Any] | None:
+    profile_name = os.environ.get("WEBSITEBENCH_BACKEND_PROFILE", "").strip()
+    if not profile_name:
+        return None
+    profile = runtime.deployment["profiles"].get(profile_name)
+    if profile is None:
+        raise RuntimeError("backend profile is not declared by the runtime contract")
+    return profile
+
+
+def auth_mail_worker_token() -> str:
+    """Return process-local worker authority; never persist or expose it."""
+
+    return _AUTH_MAIL_WORKER_TOKEN
+
+
+def auth_mail_delivery_enabled(backend: SiteBackend) -> bool:
+    profile = _deployment_profile(backend.config)
+    return bool(
+        os.environ.get("WEBSITEBENCH_MAILBOX_BOOTSTRAP_URL", "").strip()
+        or (
+            profile
+            and profile["mail_adapter"] in {"redis-resend", "effects-gateway"}
+        )
+    )
+
+
+def _declared_hook(
+    declaration: str | None,
+) -> Callable[[sqlite3.Connection], None] | None:
+    if declaration is None:
+        return None
+    module_name, function_name = declaration.split(":", 1)
+    module = importlib.import_module(module_name)
+    hook: Any = getattr(module, function_name, None)
+    if not callable(hook):
+        raise RuntimeError(f"declared backend hook is not callable: {declaration}")
+    actual = f"{hook.__module__}:{hook.__name__}"
+    if actual != declaration:
+        raise RuntimeError(
+            f"declared backend hook resolved as {actual!r}, expected {declaration!r}"
+        )
+    return hook
+
+
+def open_site_services() -> tuple[SiteBackend, LocalAuthStore]:
+    """Open one bound database; never omit the site id for permanent auth."""
+
+    runtime_path = Path(
+        os.environ.get(
+            "WEBSITEBENCH_SITE_BACKEND_RUNTIME",
+            str(DEFAULT_RUNTIME_PATH),
+        )
+    ).resolve()
+    runtime = load_runtime(runtime_path)
+    migration_hook = _declared_hook(runtime.migration_hook)
+    seed_hook = _declared_hook(runtime.seed_hook)
+    deployed_database = os.environ.get(
+        "WEBSITEBENCH_SITE_BACKEND_DATABASE",
+    )
+    if deployed_database is None:
+        backend = SiteBackend.open(
+            runtime_path,
+            migration_hook=migration_hook,
+            seed_hook=seed_hook,
+        )
+    else:
+        database_path = Path(deployed_database).resolve()
+        if database_path.name != runtime.database_filename:
+            raise RuntimeError(
+                "deployed database filename does not match runtime contract"
+            )
+        backend = SiteBackend.open(
+            json.loads(runtime_path.read_text(encoding="utf-8")),
+            data_root=database_path.parent,
+            migration_hook=migration_hook,
+            seed_hook=seed_hook,
+        )
+        if backend.lifecycle.database_path != database_path:
+            raise RuntimeError(
+                "deployed database path does not match backend preflight"
+            )
+    backend.lifecycle.initialize()
+    profile = _deployment_profile(runtime)
+    remote_mail = bool(
+        os.environ.get("WEBSITEBENCH_MAILBOX_BOOTSTRAP_URL", "").strip()
+        or (
+            profile
+            and profile["mail_adapter"] in {"redis-resend", "effects-gateway"}
+        )
+    )
+    auth = LocalAuthStore(
+        backend.lifecycle.database_path,
+        site_id=backend.config.site_id,
+        mail_mode=MAIL_SMTP_PENDING if remote_mail else MAIL_LOCAL_ONLY,
+        mail_worker_token=_AUTH_MAIL_WORKER_TOKEN if remote_mail else None,
+    )
+    auth.ensure_schema()
+    return backend, auth

tasks/petfinder/solution/site/implementation/clone/backend/support_payments.py

@@ -0,0 +1,503 @@
+"""Petfinder support-checkout overlay on the shared WebsiteBench ledger."""
+
+from __future__ import annotations
+
+import hashlib
+import json
+import os
+import re
+import secrets
+import sqlite3
+from collections.abc import Mapping
+from datetime import UTC, datetime
+from typing import Any
+
+from websitebench.site_backend import (
+    PaymentConflict,
+    PaymentError,
+    PaymentRejected,
+    SiteBackend,
+)
+
+
+SITE_ID = "petfinder"
+CURRENCY = "USD"
+SUPPORT_TIERS: tuple[dict[str, Any], ...] = (
+    {
+        "id": "support-5",
+        "amount_minor": 500,
+        "label": "$5 test support",
+        "description": "Exercise a small sandbox contribution.",
+    },
+    {
+        "id": "support-10",
+        "amount_minor": 1000,
+        "label": "$10 test support",
+        "description": "Exercise the standard sandbox contribution.",
+    },
+    {
+        "id": "support-25",
+        "amount_minor": 2500,
+        "label": "$25 test support",
+        "description": "Exercise a larger sandbox contribution.",
+    },
+)
+_TIERS = {str(item["id"]): item for item in SUPPORT_TIERS}
+_IDEMPOTENCY_RE = re.compile(r"^[A-Za-z0-9._:-]{8,200}$")
+_STRIPE_SESSION_RE = re.compile(r"^cs_test_[A-Za-z0-9_]{8,240}$")
+
+
+class SupportPaymentError(RuntimeError):
+    """The support checkout is absent, stale, foreign, or invalid."""
+
+
+def _now() -> str:
+    return datetime.now(UTC).isoformat().replace("+00:00", "Z")
+
+
+def _require_transaction(connection: sqlite3.Connection) -> None:
+    if not isinstance(connection, sqlite3.Connection) or not connection.in_transaction:
+        raise SupportPaymentError("support payment requires an active transaction")
+
+
+def public_support_tiers() -> tuple[dict[str, Any], ...]:
+    return tuple(dict(item) for item in SUPPORT_TIERS)
+
+
+def payment_adapter(
+    backend: SiteBackend,
+    environment: Mapping[str, str] | None = None,
+) -> str:
+    """Select only the adapter frozen by the active deployment profile."""
+
+    source = os.environ if environment is None else environment
+    profile_name = str(source.get("WEBSITEBENCH_BACKEND_PROFILE", "")).strip()
+    supplied = str(source.get("WEBSITEBENCH_PAYMENT_ADAPTER", "")).strip()
+    if profile_name:
+        profile = backend.config.deployment["profiles"].get(profile_name)
+        if profile is None:
+            raise SupportPaymentError("backend profile is not declared")
+        selected = str(profile["payment_adapter"])
+    else:
+        selected = str(backend.config.payments["default_adapter"])
+    if supplied and supplied != selected:
+        raise SupportPaymentError(
+            "payment adapter does not match the frozen deployment profile"
+        )
+    if selected == "stripe-test" and backend.config.payments["stripe_test"] is None:
+        raise SupportPaymentError("stripe-test is not configured")
+    if selected not in {"local-sandbox", "stripe-test"}:
+        raise SupportPaymentError("payment adapter is unsupported")
+    return selected
+
+
+def local_scenarios(backend: SiteBackend) -> tuple[dict[str, str], ...]:
+    return tuple(
+        {
+            "id": str(item["id"]),
+            "label": str(item["display_label"]),
+            "outcome": str(item["outcome"]),
+        }
+        for item in backend.config.payments["local_sandbox"]["scenarios"]
+    )
+
+
+def _fingerprint(
+    *, checkout_id: str, account_id: str, tier_id: str, amount_minor: int
+) -> str:
+    payload = {
+        "site_id": SITE_ID,
+        "checkout_id": checkout_id,
+        "account_id": account_id,
+        "tier_id": tier_id,
+        "amount_minor": amount_minor,
+        "currency": CURRENCY,
+        "effect": "test-only-support-receipt",
+    }
+    canonical = json.dumps(payload, sort_keys=True, separators=(",", ":"))
+    return hashlib.sha256(canonical.encode("utf-8")).hexdigest()
+
+
+def _public_checkout(row: sqlite3.Row) -> dict[str, Any]:
+    return {
+        "checkout_id": str(row["checkout_id"]),
+        "account_id": str(row["account_id"]),
+        "tier_id": str(row["tier_id"]),
+        "amount_minor": int(row["amount_minor"]),
+        "currency": str(row["currency"]),
+        "fingerprint": str(row["fingerprint"]),
+        "flow_id": str(row["flow_id"]),
+        "adapter": str(row["adapter"]),
+        "provider_session_id": row["provider_session_id"],
+        "status": str(row["status"]),
+        "version": int(row["version"]),
+        "total": f"${int(row['amount_minor']) / 100:.2f} {row['currency']}",
+    }
+
+
+def create_checkout(
+    connection: sqlite3.Connection,
+    backend: SiteBackend,
+    *,
+    account_id: str,
+    tier_id: str,
+    idempotency_key: str,
+) -> tuple[dict[str, Any], bool]:
+    """Create a domain checkout and shared payment flow atomically."""
+
+    _require_transaction(connection)
+    tier = _TIERS.get(tier_id)
+    if tier is None or _IDEMPOTENCY_RE.fullmatch(idempotency_key) is None:
+        raise SupportPaymentError("support tier or idempotency key is invalid")
+    if connection.execute(
+        "SELECT 1 FROM accounts WHERE id=?", (account_id,)
+    ).fetchone() is None:
+        raise SupportPaymentError("account is unavailable")
+    existing = connection.execute(
+        "SELECT * FROM support_checkouts WHERE account_id=? AND idempotency_key=?",
+        (account_id, idempotency_key),
+    ).fetchone()
+    if existing is not None:
+        if str(existing["tier_id"]) != tier_id:
+            raise SupportPaymentError("checkout idempotency key conflicts")
+        return _public_checkout(existing), False
+    checkout_id = f"support-{secrets.token_urlsafe(18)}"
+    amount_minor = int(tier["amount_minor"])
+    fingerprint = _fingerprint(
+        checkout_id=checkout_id,
+        account_id=account_id,
+        tier_id=tier_id,
+        amount_minor=amount_minor,
+    )
+    adapter = payment_adapter(backend)
+    try:
+        flow = backend.payments.create_intent(
+            owner=account_id,
+            amount_minor=amount_minor,
+            currency=CURRENCY,
+            fingerprint=fingerprint,
+            idempotency_key=f"petfinder-support-flow:{checkout_id}",
+            adapter=adapter,
+            connection=connection,
+        )
+    except (PaymentConflict, PaymentError, PaymentRejected) as exc:
+        raise SupportPaymentError("support payment flow was rejected") from exc
+    now = _now()
+    connection.execute(
+        "INSERT INTO support_checkouts("
+        "checkout_id,account_id,tier_id,amount_minor,currency,fingerprint,"
+        "flow_id,adapter,status,idempotency_key,version,created_at,updated_at"
+        ") VALUES(?,?,?,?,?,?,?,?, 'PENDING', ?,0,?,?)",
+        (
+            checkout_id,
+            account_id,
+            tier_id,
+            amount_minor,
+            CURRENCY,
+            fingerprint,
+            flow["flow_id"],
+            adapter,
+            idempotency_key,
+            now,
+            now,
+        ),
+    )
+    row = connection.execute(
+        "SELECT * FROM support_checkouts WHERE checkout_id=?", (checkout_id,)
+    ).fetchone()
+    return _public_checkout(row), True
+
+
+def checkout_for_owner(
+    connection: sqlite3.Connection, account_id: str, checkout_id: str
+) -> dict[str, Any] | None:
+    row = connection.execute(
+        "SELECT * FROM support_checkouts WHERE checkout_id=? AND account_id=?",
+        (checkout_id, account_id),
+    ).fetchone()
+    return _public_checkout(row) if row is not None else None
+
+
+def receipt_for_owner(
+    connection: sqlite3.Connection, account_id: str, receipt_id: str
+) -> dict[str, Any] | None:
+    row = connection.execute(
+        "SELECT support_receipts.*,support_checkouts.adapter "
+        "FROM support_receipts JOIN support_checkouts USING(checkout_id) "
+        "WHERE receipt_id=? AND support_receipts.account_id=?",
+        (receipt_id, account_id),
+    ).fetchone()
+    if row is None:
+        return None
+    return {
+        "receipt_id": str(row["receipt_id"]),
+        "checkout_id": str(row["checkout_id"]),
+        "account_id": str(row["account_id"]),
+        "amount_minor": int(row["amount_minor"]),
+        "currency": str(row["currency"]),
+        "adapter": str(row["adapter"]),
+        "receipt_mail_id": row["receipt_mail_id"],
+        "created_at": str(row["created_at"]),
+        "total": f"${int(row['amount_minor']) / 100:.2f} {row['currency']}",
+    }
+
+
+def stripe_preparation(
+    connection: sqlite3.Connection, account_id: str, checkout_id: str
+) -> dict[str, Any]:
+    checkout = checkout_for_owner(connection, account_id, checkout_id)
+    if checkout is None or checkout["adapter"] != "stripe-test":
+        raise SupportPaymentError("stripe checkout is unavailable")
+    flow = connection.execute(
+        "SELECT * FROM websitebench_payment_flows WHERE flow_id=? AND site_id=?",
+        (checkout["flow_id"], SITE_ID),
+    ).fetchone()
+    account = connection.execute(
+        "SELECT email FROM accounts WHERE id=?", (account_id,)
+    ).fetchone()
+    if flow is None or account is None:
+        raise SupportPaymentError("stripe checkout facts are unavailable")
+    return {
+        "checkout": checkout,
+        "flow": {
+            "flow_id": str(flow["flow_id"]),
+            "site_id": str(flow["site_id"]),
+            "owner": str(flow["owner"]),
+            "amount_minor": int(flow["amount_minor"]),
+            "currency": str(flow["currency"]),
+            "fingerprint": str(flow["fingerprint"]),
+            "adapter": str(flow["adapter"]),
+            "is_simulation": bool(flow["is_simulation"]),
+        },
+        "customer_email": str(account["email"]),
+    }
+
+
+def record_provider_session(
+    connection: sqlite3.Connection,
+    *,
+    account_id: str,
+    checkout_id: str,
+    provider_session_id: str,
+) -> None:
+    _require_transaction(connection)
+    if _STRIPE_SESSION_RE.fullmatch(provider_session_id) is None:
+        raise SupportPaymentError("Stripe test Session is invalid")
+    changed = connection.execute(
+        "UPDATE support_checkouts SET provider_session_id=?,updated_at=? "
+        "WHERE checkout_id=? AND account_id=? AND adapter='stripe-test' "
+        "AND status IN ('PENDING','DECLINED') "
+        "AND (provider_session_id IS NULL OR provider_session_id=?)",
+        (
+            provider_session_id,
+            _now(),
+            checkout_id,
+            account_id,
+            provider_session_id,
+        ),
+    ).rowcount
+    if changed != 1:
+        raise SupportPaymentError("Stripe test Session conflicts with checkout")
+
+
+def _finalize(
+    connection: sqlite3.Connection,
+    backend: SiteBackend,
+    *,
+    checkout: dict[str, Any],
+) -> dict[str, Any]:
+    existing = connection.execute(
+        "SELECT receipt_id FROM support_receipts WHERE checkout_id=?",
+        (checkout["checkout_id"],),
+    ).fetchone()
+    if existing is not None:
+        receipt = receipt_for_owner(
+            connection, checkout["account_id"], str(existing["receipt_id"])
+        )
+        return {"result": "approved", "replayed": True, "receipt": receipt}
+    approval = backend.payments.consume_approval(
+        connection,
+        flow_id=checkout["flow_id"],
+        owner=checkout["account_id"],
+        amount_minor=checkout["amount_minor"],
+        currency=checkout["currency"],
+        fingerprint=checkout["fingerprint"],
+    )
+    receipt_id = f"receipt-{secrets.token_urlsafe(14)}"
+    account = connection.execute(
+        "SELECT email FROM accounts WHERE id=?", (checkout["account_id"],)
+    ).fetchone()
+    if account is None:
+        raise SupportPaymentError("receipt account is unavailable")
+    mail = backend.mail.enqueue(
+        "support-receipt",
+        str(account["email"]),
+        {
+            "receipt_id": receipt_id,
+            "total": checkout["total"],
+        },
+        idempotency_key=f"petfinder-support-receipt:{receipt_id}",
+        simulation=checkout["adapter"] == "local-sandbox",
+        connection=connection,
+    )
+    now = _now()
+    connection.execute(
+        "INSERT INTO support_receipts("
+        "receipt_id,checkout_id,account_id,amount_minor,currency,"
+        "payment_attempt_id,receipt_mail_id,created_at) VALUES(?,?,?,?,?,?,?,?)",
+        (
+            receipt_id,
+            checkout["checkout_id"],
+            checkout["account_id"],
+            checkout["amount_minor"],
+            checkout["currency"],
+            approval["attempt_id"],
+            mail["mail_id"],
+            now,
+        ),
+    )
+    connection.execute(
+        "UPDATE support_checkouts SET status='COMPLETED',version=version+1,"
+        "updated_at=? WHERE checkout_id=? AND status<>'COMPLETED'",
+        (now, checkout["checkout_id"]),
+    )
+    receipt = receipt_for_owner(connection, checkout["account_id"], receipt_id)
+    return {"result": "approved", "replayed": False, "receipt": receipt}
+
+
+def process_local_payment(
+    connection: sqlite3.Connection,
+    backend: SiteBackend,
+    *,
+    account_id: str,
+    checkout_id: str,
+    scenario_id: str,
+    idempotency_key: str,
+) -> dict[str, Any]:
+    _require_transaction(connection)
+    checkout = checkout_for_owner(connection, account_id, checkout_id)
+    if (
+        checkout is None
+        or checkout["adapter"] != "local-sandbox"
+        or checkout["status"] == "CANCELLED"
+        or _IDEMPOTENCY_RE.fullmatch(idempotency_key) is None
+    ):
+        raise SupportPaymentError("local support checkout is unavailable")
+    if checkout["status"] == "COMPLETED":
+        return _finalize(connection, backend, checkout=checkout)
+    try:
+        attempt = backend.payments.attempt(
+            flow_id=checkout["flow_id"],
+            owner=account_id,
+            amount_minor=checkout["amount_minor"],
+            currency=checkout["currency"],
+            fingerprint=checkout["fingerprint"],
+            scenario_id=scenario_id,
+            idempotency_key=idempotency_key,
+            connection=connection,
+        )
+        if attempt["status"] == "APPROVED":
+            return _finalize(connection, backend, checkout=checkout)
+    except (PaymentConflict, PaymentError, PaymentRejected) as exc:
+        raise SupportPaymentError("local sandbox payment was rejected") from exc
+    status = "DECLINED" if attempt["status"] == "DECLINED" else "PENDING"
+    connection.execute(
+        "UPDATE support_checkouts SET status=?,version=version+1,updated_at=? "
+        "WHERE checkout_id=?",
+        (status, _now(), checkout_id),
+    )
+    return {"result": str(attempt["status"]).casefold(), "replayed": False}
+
+
+def _provider_flow_id(provider_snapshot: Mapping[str, Any]) -> str:
+    metadata = provider_snapshot.get("metadata")
+    flow_id = metadata.get("flow_id") if isinstance(metadata, Mapping) else None
+    if not isinstance(flow_id, str) or not flow_id.startswith("payflow_"):
+        raise SupportPaymentError("Stripe test Session metadata is invalid")
+    return flow_id
+
+
+def process_verified_stripe_payment(
+    connection: sqlite3.Connection,
+    backend: SiteBackend,
+    *,
+    provider_session_id: str,
+    provider_snapshot: Mapping[str, Any],
+    expected_account_id: str | None = None,
+) -> dict[str, Any]:
+    """Verify and consume Stripe approval with the receipt transaction."""
+
+    _require_transaction(connection)
+    flow_id = _provider_flow_id(provider_snapshot)
+    row = connection.execute(
+        "SELECT * FROM support_checkouts WHERE flow_id=?", (flow_id,)
+    ).fetchone()
+    if row is None:
+        raise SupportPaymentError("Stripe support checkout is unavailable")
+    checkout = _public_checkout(row)
+    if (
+        checkout["adapter"] != "stripe-test"
+        or (expected_account_id is not None and checkout["account_id"] != expected_account_id)
+        or _STRIPE_SESSION_RE.fullmatch(provider_session_id) is None
+    ):
+        raise SupportPaymentError("Stripe support checkout is foreign or invalid")
+    if checkout["status"] == "COMPLETED":
+        receipt = connection.execute(
+            "SELECT receipt_id FROM support_receipts WHERE checkout_id=?",
+            (checkout["checkout_id"],),
+        ).fetchone()
+        metadata = provider_snapshot.get("metadata")
+        if (
+            receipt is None
+            or provider_snapshot.get("id") != provider_session_id
+            or provider_snapshot.get("livemode") is not False
+            or not isinstance(metadata, Mapping)
+            or metadata.get("site_id") != SITE_ID
+            or metadata.get("owner") != checkout["account_id"]
+            or str(metadata.get("amount_minor")) != str(checkout["amount_minor"])
+            or metadata.get("fingerprint") != checkout["fingerprint"]
+        ):
+            raise SupportPaymentError("Stripe replay facts do not match")
+        return _finalize(connection, backend, checkout=checkout)
+    try:
+        backend.payments.attempt_verified_stripe(
+            flow_id=flow_id,
+            owner=checkout["account_id"],
+            amount_minor=checkout["amount_minor"],
+            currency=checkout["currency"],
+            fingerprint=checkout["fingerprint"],
+            provider_session_id=provider_session_id,
+            idempotency_key=f"petfinder-stripe:{flow_id}:{provider_session_id}",
+            provider_verifier=lambda _session_id: provider_snapshot,
+            connection=connection,
+        )
+        connection.execute(
+            "UPDATE support_checkouts SET provider_session_id=?,updated_at=? "
+            "WHERE checkout_id=? AND (provider_session_id IS NULL OR provider_session_id=?)",
+            (
+                provider_session_id,
+                _now(),
+                checkout["checkout_id"],
+                provider_session_id,
+            ),
+        )
+        return _finalize(connection, backend, checkout=checkout)
+    except (PaymentConflict, PaymentError, PaymentRejected) as exc:
+        raise SupportPaymentError("Stripe test payment was rejected") from exc
+
+
+__all__ = [
+    "CURRENCY",
+    "SUPPORT_TIERS",
+    "SupportPaymentError",
+    "checkout_for_owner",
+    "create_checkout",
+    "local_scenarios",
+    "payment_adapter",
+    "process_local_payment",
+    "process_verified_stripe_payment",
+    "public_support_tiers",
+    "receipt_for_owner",
+    "record_provider_session",
+    "stripe_preparation",
+]

tasks/petfinder/solution/site/implementation/clone/harbor_entry.py

@@ -0,0 +1,59 @@
+"""WebsiteBench Harbor foreground entrypoint for the frozen clone."""
+
+from __future__ import annotations
+
+import json
+import os
+from pathlib import Path
+
+import uvicorn
+
+
+ROOT = Path(__file__).resolve().parent
+SITE_ROOT = ROOT.parent
+RUNTIME = json.loads((SITE_ROOT / "backend" / "runtime.json").read_text(encoding="utf-8"))
+SITE_ID = str(RUNTIME["site"]["id"])
+DATA_DIR = Path(os.environ["DATA_DIR"])
+if not DATA_DIR.is_absolute():
+    raise RuntimeError("DATA_DIR must be absolute")
+DATA_DIR = DATA_DIR.resolve()
+DATA_DIR.mkdir(parents=True, exist_ok=True)
+os.environ["WEBSITEBENCH_DATA_DIR"] = str(DATA_DIR)
+os.environ["WEBSITEBENCH_SITE_BACKEND_RUNTIME"] = str(SITE_ROOT / "backend" / "runtime.json")
+os.environ["WEBSITEBENCH_SITE_BACKEND_DATABASE"] = str(DATA_DIR / RUNTIME["database"]["filename"])
+if os.environ.get("WEBSITEBENCH_MAILBOX_BOOTSTRAP_URL", "").strip():
+    os.environ["WEBSITEBENCH_DEPLOYMENT_PROFILE"] = "offline-harbor"
+os.environ["WEBSITEBENCH_PAYMENT_PROFILE"] = "local-sandbox"
+
+from app import app as clone_app  # noqa: E402
+
+HEALTH_BODY = b'{"status":"ok"}'
+# /healthz is the contract (ADR-0010); the private path stays mounted
+# so bundles frozen before the migration keep answering.
+HEALTH_PATHS = ("/healthz", "/__websitebench/health")
+
+
+async def application(scope, receive, send):
+    if scope.get("type") == "http" and scope.get("path") in HEALTH_PATHS:
+        await send({
+            "type": "http.response.start",
+            "status": 200,
+            "headers": [
+                (b"content-type", b"application/json"),
+                (b"content-length", str(len(HEALTH_BODY)).encode("ascii")),
+                (b"cache-control", b"no-store"),
+            ],
+        })
+        await send({"type": "http.response.body", "body": HEALTH_BODY})
+        return
+    await clone_app(scope, receive, send)
+
+
+if __name__ == "__main__":
+    uvicorn.run(
+        application,
+        host=os.environ["HOST"],
+        port=int(os.environ["PORT"]),
+        access_log=False,
+        timeout_graceful_shutdown=2,
+    )

tasks/petfinder/solution/site/implementation/clone/static/app.js

@@ -0,0 +1,370 @@
+/* Petfinder offline fixture - authored behavior.
+   Same-origin only; no remote requests, telemetry, live chat, or analytics. */
+
+(function () {
+  "use strict";
+
+  function ready(fn) {
+    if (document.readyState !== "loading") { fn(); return; }
+    document.addEventListener("DOMContentLoaded", fn);
+  }
+
+  function focusables(root) {
+    return root.querySelectorAll(
+      'a[href], button:not([disabled]), input:not([disabled]):not([type="hidden"]), ' +
+      'select:not([disabled]), textarea:not([disabled]), [tabindex]:not([tabindex="-1"])'
+    );
+  }
+
+  function trapTab(event, root) {
+    if (event.key !== "Tab") { return; }
+    var nodes = focusables(root);
+    if (!nodes.length) { event.preventDefault(); root.focus(); return; }
+    var first = nodes[0];
+    var last = nodes[nodes.length - 1];
+    if (event.shiftKey && document.activeElement === first) {
+      event.preventDefault(); last.focus();
+    } else if (!event.shiftKey && document.activeElement === last) {
+      event.preventDefault(); first.focus();
+    }
+  }
+
+  function isPlainClick(event) {
+    return !event.metaKey && !event.ctrlKey && !event.shiftKey &&
+      !event.altKey && (!event.button || event.button === 0);
+  }
+
+  ready(function () {
+    var accountTrigger = document.querySelector(".account-menu-trigger");
+    var accountDrawer = document.getElementById("account-drawer");
+    var accountBackdrop = document.querySelector(".account-drawer-backdrop");
+    if (accountTrigger && accountDrawer && accountBackdrop) {
+      var accountClose = accountDrawer.querySelector(".account-drawer-close");
+      var openAccountDrawer = function () {
+        accountDrawer.hidden = false;
+        accountDrawer.setAttribute("aria-hidden", "false");
+        accountBackdrop.hidden = false;
+        accountTrigger.setAttribute("aria-expanded", "true");
+        document.body.classList.add("account-drawer-open");
+        (accountClose || accountDrawer).focus();
+      };
+      var closeAccountDrawer = function () {
+        accountDrawer.hidden = true;
+        accountDrawer.setAttribute("aria-hidden", "true");
+        accountBackdrop.hidden = true;
+        accountTrigger.setAttribute("aria-expanded", "false");
+        document.body.classList.remove("account-drawer-open");
+        accountTrigger.focus();
+      };
+      accountTrigger.addEventListener("click", openAccountDrawer);
+      accountDrawer.querySelectorAll("[data-account-drawer-close]").forEach(function (node) {
+        node.addEventListener("click", closeAccountDrawer);
+      });
+      accountBackdrop.addEventListener("click", closeAccountDrawer);
+      accountDrawer.addEventListener("keydown", function (event) { trapTab(event, accountDrawer); });
+      document.addEventListener("keydown", function (event) {
+        if (event.key === "Escape" && !accountDrawer.hidden) { closeAccountDrawer(); }
+      });
+    }
+
+    // The sign-in trigger is a real link. A plain click opens the captured
+    // dialog; modifier clicks and no-script browsing still use the page URL.
+    var signinTrigger = document.querySelector("[data-signin-dialog-trigger]");
+    var signinDialog = document.getElementById("signin-dialog");
+    var signinBackdrop = document.querySelector(".signin-dialog-backdrop");
+    if (signinTrigger && signinDialog && signinBackdrop) {
+      var signinClose = signinDialog.querySelector(".signin-dialog-close");
+      var openSignin = function () {
+        signinDialog.hidden = false;
+        signinBackdrop.hidden = false;
+        signinDialog.setAttribute("aria-hidden", "false");
+        signinTrigger.setAttribute("aria-expanded", "true");
+        document.body.classList.add("signin-dialog-open");
+        (signinClose || signinDialog).focus();
+      };
+      var closeSignin = function () {
+        signinDialog.hidden = true;
+        signinBackdrop.hidden = true;
+        signinDialog.setAttribute("aria-hidden", "true");
+        signinTrigger.setAttribute("aria-expanded", "false");
+        document.body.classList.remove("signin-dialog-open");
+        signinTrigger.focus();
+      };
+      signinTrigger.addEventListener("click", function (event) {
+        if (event.metaKey || event.ctrlKey || event.shiftKey || event.altKey) { return; }
+        if (!isPlainClick(event)) { return; }
+        event.preventDefault(); openSignin();
+      });
+      signinDialog.querySelectorAll("[data-signin-dialog-close]").forEach(function (node) {
+        node.addEventListener("click", closeSignin);
+      });
+      signinBackdrop.addEventListener("click", closeSignin);
+      signinDialog.addEventListener("keydown", function (event) {
+        if (event.key !== "Tab") { return; }
+        trapTab(event, signinDialog);
+      });
+      document.addEventListener("keydown", function (event) {
+        if (event.key === "Escape" && !signinDialog.hidden) { closeSignin(); }
+      });
+    }
+
+    // Keep the feedback trigger separate from the sign-in dialog lifecycle.
+    var trigger = document.querySelector(".overlay-trigger");
+
+    var mobileTrigger = document.querySelector(".mobile-menu-trigger");
+    var mobileMenu = document.getElementById("mobile-menu");
+    var mobileBackdrop = document.querySelector(".mobile-menu-backdrop");
+    if (mobileTrigger && mobileMenu && mobileBackdrop) {
+      var mobileClose = mobileMenu.querySelector("[data-mobile-menu-close]");
+      var openMobileMenu = function () {
+        mobileMenu.hidden = false; mobileBackdrop.hidden = false;
+        mobileMenu.setAttribute("aria-hidden", "false");
+        mobileTrigger.setAttribute("aria-expanded", "true");
+        document.body.classList.add("mobile-menu-open");
+        (mobileClose || mobileMenu).focus();
+      };
+      var closeMobileMenu = function () {
+        mobileMenu.hidden = true; mobileBackdrop.hidden = true;
+        mobileMenu.setAttribute("aria-hidden", "true");
+        mobileTrigger.setAttribute("aria-expanded", "false");
+        document.body.classList.remove("mobile-menu-open");
+        mobileTrigger.focus();
+      };
+      mobileTrigger.addEventListener("click", openMobileMenu);
+      document.querySelectorAll("[data-mobile-menu-close]").forEach(function (node) {
+        node.addEventListener("click", closeMobileMenu);
+      });
+      mobileMenu.addEventListener("keydown", function (event) { trapTab(event, mobileMenu); });
+      document.addEventListener("keydown", function (event) {
+        if (event.key === "Escape" && !mobileMenu.hidden) { closeMobileMenu(); }
+      });
+    }
+
+    var footerGroups = document.querySelectorAll(".footer-group");
+    if (footerGroups.length) {
+      var compactFooter = window.matchMedia("(max-width: 760px)");
+      var syncFooterGroups = function () {
+        footerGroups.forEach(function (group) {
+          if (compactFooter.matches) {
+            group.removeAttribute("open");
+          } else {
+            group.setAttribute("open", "");
+          }
+        });
+      };
+      syncFooterGroups();
+      if (compactFooter.addEventListener) {
+        compactFooter.addEventListener("change", syncFooterGroups);
+      }
+    }
+
+    var homeSearchTrigger = document.querySelector("[data-home-search-trigger]");
+    var homeSearchLauncher = document.querySelector("[data-home-search-launcher]");
+    var homeSearchOverlay = document.getElementById("home-search-overlay");
+    if (homeSearchTrigger && homeSearchLauncher && homeSearchOverlay) {
+      var homeSearchOverlayInput = homeSearchOverlay.querySelector("[data-home-search-overlay-input]");
+      var homeSearchClose = homeSearchOverlay.querySelector("[data-home-search-close]");
+      var openHomeSearch = function () {
+        homeSearchOverlay.hidden = false;
+        homeSearchTrigger.setAttribute("aria-expanded", "true");
+        document.body.classList.add("home-search-open");
+        if (homeSearchOverlayInput) {
+          homeSearchOverlayInput.value = homeSearchTrigger.value;
+          homeSearchOverlayInput.focus();
+        }
+      };
+      var closeHomeSearch = function () {
+        if (homeSearchOverlayInput) { homeSearchTrigger.value = homeSearchOverlayInput.value; }
+        homeSearchOverlay.hidden = true;
+        homeSearchTrigger.setAttribute("aria-expanded", "false");
+        document.body.classList.remove("home-search-open");
+        homeSearchTrigger.focus();
+      };
+      homeSearchTrigger.addEventListener("click", openHomeSearch);
+      homeSearchTrigger.addEventListener("focus", openHomeSearch);
+      homeSearchLauncher.addEventListener("submit", function (event) {
+        if (homeSearchOverlay.hidden) { event.preventDefault(); openHomeSearch(); }
+      });
+      if (homeSearchClose) { homeSearchClose.addEventListener("click", closeHomeSearch); }
+      homeSearchOverlay.addEventListener("keydown", function (event) {
+        if (event.key === "Escape") { event.preventDefault(); closeHomeSearch(); return; }
+        trapTab(event, homeSearchOverlay);
+      });
+    }
+
+    // Every search control remains a normal GET field. This enhancement only
+    // applies immediately and announces progress; the Apply button remains.
+    var filterForm = document.querySelector("[data-search-filters]");
+    if (filterForm) {
+      var filterStatus = filterForm.querySelector("[data-filter-status]");
+      filterForm.addEventListener("change", function (event) {
+        var field = event.target;
+        if (!field || !field.name) { return; }
+        if (filterStatus) { filterStatus.textContent = "Updating results…"; }
+        filterForm.submit();
+      });
+    }
+
+    var filterDrawer = document.getElementById("search-filters");
+    var filterDrawerTrigger = document.querySelector(".filter-drawer-trigger");
+    var filterBackdrop = document.querySelector(".search-filter-backdrop");
+    if (filterDrawer && filterDrawerTrigger && filterBackdrop) {
+      var mobileFilters = window.matchMedia("(max-width: 760px)");
+      var syncFilterSemantics = function () {
+        if (mobileFilters.matches) {
+          filterDrawer.setAttribute("role", "dialog");
+          filterDrawer.setAttribute("aria-modal", "true");
+          filterDrawer.setAttribute(
+            "aria-hidden",
+            filterDrawer.classList.contains("is-open") ? "false" : "true"
+          );
+        } else {
+          filterDrawer.removeAttribute("role");
+          filterDrawer.removeAttribute("aria-modal");
+          filterDrawer.removeAttribute("aria-hidden");
+        }
+      };
+      var openFilters = function () {
+        filterDrawer.classList.add("is-open");
+        filterDrawer.setAttribute("aria-hidden", "false");
+        filterBackdrop.hidden = false;
+        filterDrawerTrigger.setAttribute("aria-expanded", "true");
+        document.body.classList.add("search-filter-open");
+        filterDrawer.focus();
+      };
+      var closeFilters = function () {
+        filterDrawer.classList.remove("is-open");
+        filterDrawer.setAttribute("aria-hidden", "true");
+        filterBackdrop.hidden = true;
+        filterDrawerTrigger.setAttribute("aria-expanded", "false");
+        document.body.classList.remove("search-filter-open");
+        filterDrawerTrigger.focus();
+      };
+      filterDrawerTrigger.setAttribute("aria-expanded", filterDrawer.classList.contains("is-open") ? "true" : "false");
+      syncFilterSemantics();
+      if (mobileFilters.addEventListener) {
+        mobileFilters.addEventListener("change", syncFilterSemantics);
+      }
+      filterDrawerTrigger.addEventListener("click", function (event) {
+        if (!mobileFilters.matches || !isPlainClick(event)) { return; }
+        event.preventDefault(); openFilters();
+      });
+      document.querySelectorAll("[data-filter-drawer-close]").forEach(function (node) {
+        node.addEventListener("click", function (event) {
+          if (!mobileFilters.matches || !isPlainClick(event)) { return; }
+          event.preventDefault(); closeFilters();
+        });
+      });
+      filterDrawer.addEventListener("keydown", function (event) { trapTab(event, filterDrawer); });
+      document.addEventListener("keydown", function (event) {
+        if (event.key === "Escape" && filterDrawer.classList.contains("is-open") && mobileFilters.matches) { closeFilters(); }
+      });
+      if (filterDrawer.classList.contains("is-open") && mobileFilters.matches) {
+        filterBackdrop.hidden = false;
+        document.body.classList.add("search-filter-open");
+        filterDrawer.focus();
+      }
+    }
+
+    var preferModal = document.querySelector("[data-prefer-local-modal]");
+    var preferBackdrop = document.querySelector(".prefer-local-backdrop");
+    if (preferModal && preferBackdrop) {
+      var preferReturn = document.querySelector("[data-prefer-local-trigger]") ||
+        document.querySelector(".filter-drawer-trigger");
+      preferModal.setAttribute("tabindex", "-1");
+      preferModal.setAttribute("aria-hidden", "false");
+      var closePreferModal = function () {
+        preferModal.hidden = true; preferBackdrop.hidden = true;
+        preferModal.setAttribute("aria-hidden", "true");
+        if (preferReturn) { preferReturn.setAttribute("aria-expanded", "false"); }
+        if (preferReturn) { preferReturn.focus(); }
+      };
+      preferModal.querySelectorAll("[data-prefer-local-close]").forEach(function (node) {
+        node.addEventListener("click", function (event) {
+          if (node.tagName === "A" && !isPlainClick(event)) { return; }
+          event.preventDefault(); closePreferModal();
+        });
+      });
+      preferBackdrop.addEventListener("click", closePreferModal);
+      preferModal.addEventListener("keydown", function (event) { trapTab(event, preferModal); });
+      document.addEventListener("keydown", function (event) {
+        if (event.key === "Escape" && !preferModal.hidden) {
+          closePreferModal();
+        }
+      });
+      preferModal.focus();
+    }
+
+    document.querySelectorAll("[data-cookie-close]").forEach(function (button) {
+      button.addEventListener("click", function () {
+        var notice = button.closest(".source-cookie-notice");
+        if (notice) { notice.hidden = true; }
+      });
+    });
+
+    var promo = document.querySelector(".purina-promo");
+    if (promo) {
+      promo.querySelectorAll(".promo-close, .promo-reminder").forEach(function (node) {
+        node.addEventListener("click", function (event) {
+          if (node.tagName === "A") { event.preventDefault(); }
+          promo.hidden = true;
+        });
+      });
+    }
+
+    var overlayTrigger = trigger;
+    var overlay = document.getElementById("fixture-overlay");
+    if (overlayTrigger && overlay) {
+      var overlayClose = overlay.querySelector(".overlay-close");
+      var openOverlay = function () {
+        overlay.hidden = false;
+        overlay.setAttribute("aria-hidden", "false");
+        overlayTrigger.setAttribute("aria-expanded", "true");
+        (overlayClose || overlay).focus();
+      };
+      var closeOverlay = function () {
+        overlay.hidden = true;
+        overlay.setAttribute("aria-hidden", "true");
+        overlayTrigger.setAttribute("aria-expanded", "false");
+        overlayTrigger.focus();
+      };
+      overlayTrigger.addEventListener("click", openOverlay);
+      if (overlayClose) { overlayClose.addEventListener("click", closeOverlay); }
+      overlay.addEventListener("keydown", function (event) { trapTab(event, overlay); });
+      document.addEventListener("keydown", function (event) {
+        if (event.key === "Escape" && !overlay.hidden) { closeOverlay(); }
+      });
+    }
+
+    document.querySelectorAll(".heart-button, .card-heart, .remove-favorite").forEach(function (heart) {
+      heart.addEventListener("click", function () {
+        heart.setAttribute("data-submitting", "true");
+      });
+    });
+
+    var gallery = document.querySelector("[data-profile-gallery]");
+    if (gallery) {
+      var galleryMain = gallery.querySelector("[data-gallery-main]");
+      var galleryThumbs = Array.prototype.slice.call(gallery.querySelectorAll("[data-gallery-thumb]"));
+      var galleryIndex = 0;
+      var selectGalleryPhoto = function (index) {
+        if (!galleryThumbs.length || !galleryMain) { return; }
+        galleryIndex = (index + galleryThumbs.length) % galleryThumbs.length;
+        galleryThumbs.forEach(function (thumb, thumbIndex) {
+          var active = thumbIndex === galleryIndex;
+          thumb.classList.toggle("is-active", active);
+          thumb.setAttribute("aria-pressed", active ? "true" : "false");
+        });
+        galleryMain.style.objectPosition = galleryThumbs[galleryIndex].getAttribute("data-object-position") || "center";
+        galleryThumbs[galleryIndex].scrollIntoView({ behavior: "smooth", block: "nearest", inline: "nearest" });
+      };
+      galleryThumbs.forEach(function (thumb, index) {
+        thumb.addEventListener("click", function () { selectGalleryPhoto(index); });
+      });
+      var galleryPrevious = gallery.querySelector("[data-gallery-previous]");
+      var galleryNext = gallery.querySelector("[data-gallery-next]");
+      if (galleryPrevious) { galleryPrevious.addEventListener("click", function () { selectGalleryPhoto(galleryIndex - 1); }); }
+      if (galleryNext) { galleryNext.addEventListener("click", function () { selectGalleryPhoto(galleryIndex + 1); }); }
+    }
+  });
+})();