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Add integration tests for obj_data current_zones structure
Co-authored-by: Teagan42 <2989925+Teagan42@users.noreply.github.com>
This commit is contained in:
copilot-swe-agent[bot]
Teagan glenn
parent
12de5011fe
commit
2576c2db17
@ -167,5 +167,181 @@ class TestCustomObjectClassificationZones(unittest.TestCase):
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self.assertNotIn("zones", data)
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class TestCustomObjectClassificationIntegration(unittest.TestCase):
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"""Integration tests verifying obj_data structure includes current_zones field"""
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def test_tracked_object_dict_includes_current_zones(self):
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"""Verify that tracked object to_dict() includes current_zones field"""
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# This test verifies the data structure that flows to CustomObjectClassificationProcessor
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# Simulates what tracked_object.to_dict() returns
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simulated_obj_data = {
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"id": "integration_test_123.456-xyz",
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"camera": "front_door",
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"label": "person",
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"false_positive": False,
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"end_time": None,
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"box": [100, 150, 300, 400],
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"area": 50000,
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"score": 0.92,
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"current_zones": [
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"driveway",
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"front_porch",
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], # Critical field we're testing
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"entered_zones": ["driveway", "front_porch", "sidewalk"],
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"has_clip": False,
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"has_snapshot": True,
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"region": [0, 0, 1280, 720],
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"active": True,
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"stationary": False,
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}
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# Verify the structure contains current_zones
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self.assertIn(
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"current_zones",
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simulated_obj_data,
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"obj_data must include current_zones field",
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)
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self.assertIsInstance(
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simulated_obj_data["current_zones"],
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list,
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"current_zones must be a list",
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)
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def test_obj_data_with_zones_produces_correct_mqtt_message(self):
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"""Integration test: Verify obj_data with zones produces MQTT message with zones"""
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# Simulate the processing logic from CustomObjectClassificationProcessor
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obj_data = {
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"id": "integration_456.789-abc",
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"camera": "garage",
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"label": "person",
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"current_zones": ["garage_interior", "entrance"],
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"box": [120, 180, 320, 450],
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"false_positive": False,
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"end_time": None,
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}
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# Simulate what the processor does when building classification data
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classification_data = {
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"type": "classification",
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"id": obj_data["id"],
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"camera": obj_data["camera"],
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"timestamp": 1234567890.0,
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"model": "test_classifier",
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"sub_label": "delivery_person",
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"score": 0.89,
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}
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# This is the key logic from custom_classification.py that we're verifying
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if obj_data.get("current_zones"):
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classification_data["zones"] = obj_data["current_zones"]
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# Verify zones are included
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self.assertIn("zones", classification_data)
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self.assertEqual(classification_data["zones"], ["garage_interior", "entrance"])
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def test_obj_data_without_zones_excludes_zones_from_mqtt(self):
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"""Integration test: Verify obj_data without zones excludes zones from MQTT"""
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obj_data = {
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"id": "integration_789.012-def",
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"camera": "backyard",
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"label": "person",
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"current_zones": [], # Empty zones
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"box": [50, 75, 200, 300],
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"false_positive": False,
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"end_time": None,
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}
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# Simulate classification data building
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classification_data = {
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"type": "classification",
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"id": obj_data["id"],
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"camera": obj_data["camera"],
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"timestamp": 1234567890.0,
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"model": "test_classifier",
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"attribute": "running",
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"score": 0.85,
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}
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# Key logic: only add zones if current_zones is non-empty
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if obj_data.get("current_zones"):
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classification_data["zones"] = obj_data["current_zones"]
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# Verify zones are NOT included when empty
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self.assertNotIn("zones", classification_data)
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def test_obj_data_structure_compatibility(self):
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"""Verify obj_data structure is compatible with processor expectations"""
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# Create obj_data matching the structure from tracked_object.to_dict()
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obj_data = {
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"id": "test_123.456-ghi",
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"camera": "front_door",
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"label": "person",
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"false_positive": False,
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"end_time": None,
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"box": [100, 100, 200, 200],
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"area": 10000,
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"score": 0.90,
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# Key fields for zone tracking
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"current_zones": ["entry_zone"],
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"entered_zones": ["entry_zone", "walkway"],
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# Other fields from tracked_object
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"region": [0, 0, 640, 480],
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"active": True,
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"stationary": False,
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"motionless_count": 0,
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"position_changes": 5,
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"has_clip": False,
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"has_snapshot": True,
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}
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# Verify all expected fields are present
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required_fields = ["id", "camera", "label", "current_zones", "box"]
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for field in required_fields:
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self.assertIn(
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field,
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obj_data,
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f"obj_data must include required field: {field}",
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)
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# Verify current_zones can be used in conditional
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if obj_data.get("current_zones"):
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zones = obj_data["current_zones"]
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self.assertIsInstance(zones, list)
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self.assertGreater(len(zones), 0)
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def test_multiple_zones_in_mqtt_message(self):
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"""Integration test: Verify multiple zones are correctly passed through"""
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obj_data = {
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"id": "multi_zone_test_999.888-jkl",
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"camera": "outdoor",
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"label": "car",
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"current_zones": ["driveway", "street", "parking_area"], # Multiple zones
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"box": [200, 200, 400, 400],
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"false_positive": False,
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"end_time": None,
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}
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# Build MQTT message
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mqtt_data = {
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"type": "classification",
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"id": obj_data["id"],
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"camera": obj_data["camera"],
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"timestamp": 1234567890.0,
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"model": "vehicle_classifier",
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"sub_label": "sedan",
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"score": 0.93,
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}
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if obj_data.get("current_zones"):
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mqtt_data["zones"] = obj_data["current_zones"]
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# Verify all zones are included
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self.assertIn("zones", mqtt_data)
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self.assertEqual(len(mqtt_data["zones"]), 3)
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self.assertIn("driveway", mqtt_data["zones"])
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self.assertIn("street", mqtt_data["zones"])
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self.assertIn("parking_area", mqtt_data["zones"])
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if __name__ == "__main__":
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unittest.main()
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