Story 6

tests/test_story_06.py

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+import json
+import sys
+import tempfile
+import unittest
+from pathlib import Path
+from unittest.mock import MagicMock, call, patch
+
+sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "src"))
+
+import processing_logger
+from data_export import DataExporter
+from result_updater import ResultUpdater
+from scratch_manager import ScratchManager
+
+
+class Story06ProcessingLoggerTests(unittest.TestCase):
+    def test_insert_log_executes_correct_sql(self):
+        cursor = MagicMock()
+        processing_logger.insert_log(
+            cursor,
+            video_id=42,
+            model_version="v1.0.0",
+            frame_count=8,
+            confidence_score=0.82,
+            routing_decision="MATCH",
+            frame_confidences=[0.80, 0.82, 0.85],
+        )
+        cursor.execute.assert_called_once()
+        sql, params = cursor.execute.call_args[0]
+        self.assertIn("INSERT INTO processing_logs", sql)
+        self.assertEqual(params[0], 42)                        # video_id
+        self.assertEqual(params[1], "v1.0.0")                  # model_version
+        self.assertEqual(params[2], 8)                         # frame_count
+        self.assertAlmostEqual(params[3], 0.82)                # confidence_score
+        scores = json.loads(params[4])                         # confidence_scores JSON
+        self.assertEqual(scores, [0.80, 0.82, 0.85])
+        self.assertEqual(params[5], "MATCH")                   # routing_decision
+
+    def test_insert_log_null_frame_confidences(self):
+        cursor = MagicMock()
+        processing_logger.insert_log(cursor, 1, "v0", 0, None, "SKIP")
+        _, params = cursor.execute.call_args[0]
+        self.assertIsNone(params[4])  # confidence_scores column
+
+
+class Story06ResultUpdaterTests(unittest.TestCase):
+    def _make_db(self, rowcount=1):
+        cursor = MagicMock()
+        cursor.rowcount = rowcount
+        conn = MagicMock()
+        conn.cursor.return_value = cursor
+        db = MagicMock()
+        db.transaction.return_value.__enter__ = MagicMock(return_value=conn)
+        db.transaction.return_value.__exit__ = MagicMock(return_value=False)
+        return db, cursor
+
+    def test_persist_returns_true_when_update_succeeds(self):
+        db, cursor = self._make_db(rowcount=1)
+        updater = ResultUpdater(db, model_version="v1.0.0")
+        result = updater.persist(
+            video_id=7, frame_count=5, confidence=0.9,
+            routing="MATCH", frame_confidences=[0.9],
+        )
+        self.assertTrue(result)
+
+    def test_persist_returns_false_on_state_guard_miss(self):
+        db, cursor = self._make_db(rowcount=0)
+        updater = ResultUpdater(db, model_version="v1.0.0")
+        result = updater.persist(
+            video_id=7, frame_count=5, confidence=0.9,
+            routing="MATCH", frame_confidences=[0.9],
+        )
+        self.assertFalse(result)
+
+    def test_persist_calls_insert_log_after_update(self):
+        db, cursor = self._make_db(rowcount=1)
+        updater = ResultUpdater(db, model_version="v1.0.0")
+        updater.persist(video_id=7, frame_count=5, confidence=0.9,
+                        routing="MATCH", frame_confidences=[0.9])
+        # cursor.execute called twice: UPDATE videos + INSERT processing_logs
+        self.assertEqual(cursor.execute.call_count, 2)
+
+
+class Story06DataExporterTests(unittest.TestCase):
+    def test_jsonl_flush_writes_valid_records(self):
+        with tempfile.TemporaryDirectory() as tmpdir:
+            exporter = DataExporter(
+                output_path=tmpdir, model_version="v1",
+                export_format="jsonl", batch_size=100,
+            )
+            exporter.add({"video_id": 1, "routing": "MATCH", "video_confidence": 0.9,
+                          "confidence_scores": [0.9], "sample_count": 1,
+                          "file_path": "/a.mp4", "processed_at": "2026-01-01T00:00:00+00:00"})
+            path = exporter.flush()
+
+            self.assertIsNotNone(path)
+            lines = Path(path).read_text(encoding="utf-8").strip().split("\n")
+            self.assertEqual(len(lines), 1)
+            record = json.loads(lines[0])
+            self.assertEqual(record["routing"], "MATCH")
+            self.assertAlmostEqual(record["video_confidence"], 0.9)
+
+    def test_auto_flush_at_batch_size(self):
+        with tempfile.TemporaryDirectory() as tmpdir:
+            exporter = DataExporter(
+                output_path=tmpdir, model_version="v1",
+                export_format="jsonl", batch_size=2,
+            )
+            exporter.add({"video_id": 1, "routing": "SKIP", "video_confidence": 0.1,
+                          "confidence_scores": [], "sample_count": 0,
+                          "file_path": "/a.mp4", "processed_at": ""})
+            exporter.add({"video_id": 2, "routing": "MATCH", "video_confidence": 0.9,
+                          "confidence_scores": [0.9], "sample_count": 1,
+                          "file_path": "/b.mp4", "processed_at": ""})
+            # batch_size=2 → auto-flush triggered on second add
+            self.assertEqual(exporter._buffer, [])
+
+    def test_exclude_frame_confidences_when_disabled(self):
+        with tempfile.TemporaryDirectory() as tmpdir:
+            exporter = DataExporter(
+                output_path=tmpdir, model_version="v1",
+                export_format="jsonl", batch_size=100,
+                include_frame_confidences=False,
+            )
+            exporter.add({"video_id": 1, "routing": "SKIP", "video_confidence": 0.1,
+                          "confidence_scores": [0.1, 0.2], "sample_count": 2,
+                          "file_path": "/a.mp4", "processed_at": ""})
+            path = exporter.flush()
+            record = json.loads(Path(path).read_text())
+            self.assertNotIn("confidence_scores", record)
+
+
+class Story06ScratchManagerCleanupAllTests(unittest.TestCase):
+    def test_cleanup_all_removes_entire_video_directory(self):
+        with tempfile.TemporaryDirectory() as tmpdir:
+            manager = ScratchManager(base_path=tmpdir, video_id="v42", auto_cleanup=True)
+            frame_dir = manager.ensure_frame_dir()
+            crops_dir = Path(tmpdir) / "v42" / "crops"
+            crops_dir.mkdir(parents=True)
+            (frame_dir / "frame.jpg").write_bytes(b"f")
+            (crops_dir / "crop.jpg").write_bytes(b"c")
+
+            manager.cleanup_all()
+            self.assertFalse((Path(tmpdir) / "v42").exists())
+
+
+if __name__ == "__main__":
+    unittest.main()