fc5: ml_queue (fire tag_and_embed for unprocessed) + verify (row counts + sha256 sample)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

tests/test_migration_verify.py

@@ -0,0 +1,72 @@
+"""FC-5: verify + ml_queue unit tests."""
+import hashlib
+
+import pytest
+
+from backend.app.models import Artist, ImageRecord
+from backend.app.services.migrators import ml_queue, verify
+
+pytestmark = pytest.mark.integration
+
+
+@pytest.mark.asyncio
+async def test_verify_row_counts_match(db):
+    db.add(Artist(name="vAlpha", slug="valpha", is_subscription=True))
+    db.add(Artist(name="vBeta", slug="vbeta", is_subscription=False))
+    await db.commit()
+    result = await verify.verify_async(
+        db, expected={"artist_subscriptions": 1},
+    )
+    assert result["artist_subscriptions"]["status"] == "ok"
+
+
+@pytest.mark.asyncio
+async def test_verify_sha256_sample_matches_disk(db, tmp_path):
+    f = tmp_path / "sample.bin"
+    f.write_bytes(b"hello world")
+    sha = hashlib.sha256(b"hello world").hexdigest()
+    db.add(ImageRecord(
+        path=str(f), sha256=sha, size_bytes=11, mime="application/octet-stream",
+        origin="imported_filesystem",
+    ))
+    await db.commit()
+    result = await verify.verify_sha256_sample(db, sample_size=10)
+    assert result["matched"] >= 1
+    assert result["mismatched"] == 0
+
+
+@pytest.mark.asyncio
+async def test_verify_sha256_sample_detects_missing_file(db, tmp_path):
+    sha = "f" * 64
+    db.add(ImageRecord(
+        path=str(tmp_path / "does-not-exist.bin"),
+        sha256=sha, size_bytes=1, mime="application/octet-stream",
+        origin="imported_filesystem",
+    ))
+    await db.commit()
+    result = await verify.verify_sha256_sample(db, sample_size=10)
+    assert result["missing"] >= 1
+
+
+@pytest.mark.asyncio
+async def test_ml_queue_returns_count_for_unprocessed(db, tmp_path, monkeypatch):
+    queued: list[int] = []
+
+    class _FakeTask:
+        def delay(self, image_id):
+            queued.append(image_id)
+
+    monkeypatch.setattr(
+        "backend.app.tasks.ml.tag_and_embed", _FakeTask(),
+    )
+
+    f = tmp_path / "q.bin"
+    f.write_bytes(b"x")
+    db.add(ImageRecord(
+        path=str(f), sha256="q" * 64, size_bytes=1,
+        mime="application/octet-stream", origin="imported_filesystem",
+    ))
+    await db.commit()
+
+    count = await ml_queue.queue_all_unprocessed_async(db)
+    assert count >= 1