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fix-label-read
| Author | SHA1 | Date | |
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9fe12ed0b7 |
@@ -780,6 +780,13 @@ def run_analysis(
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for i, verified_label in enumerate(final_data["data"]["verified_objects"]):
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object_type = verified_label.replace("-verified", "").replace("_", " ")
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# editing a sub label after the review item ended rebuilds sub_labels
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# without verified_objects, so a stored item can have fewer sub labels
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if i >= len(sub_labels_list):
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unified_objects.append(object_type)
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continue
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name = titlecase(sub_labels_list[i].replace("_", " "))
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unified_objects.append(f"{name} ← {object_type}")
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@@ -0,0 +1,77 @@
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"""Tests for pairing review sub labels with their verified objects."""
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import unittest
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from unittest.mock import MagicMock
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from frigate.config import FrigateConfig
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from frigate.data_processing.post.review_descriptions import run_analysis
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CONFIG = """
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mqtt:
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enabled: False
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cameras:
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front_door:
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ffmpeg:
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inputs:
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- path: rtsp://10.0.0.1:554/video
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roles:
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- detect
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detect:
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width: 1920
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height: 1080
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fps: 5
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"""
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def unified_objects(review_data: dict) -> list[str]:
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"""Run the review analysis and return the objects sent to the GenAI client."""
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camera_config = FrigateConfig.parse_yaml(CONFIG).cameras["front_door"]
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client = MagicMock()
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client.generate_review_description.return_value = None
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run_analysis(
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MagicMock(),
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client,
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MagicMock(),
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camera_config,
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{"id": "review1", "start_time": 0, "end_time": 10, "data": review_data},
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[],
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[],
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camera_config.review.genai,
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["car", "person"],
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[],
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)
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return client.generate_review_description.call_args.args[0]["unified_objects"]
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class TestRunAnalysisSubLabels(unittest.TestCase):
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def test_verified_objects_are_named_by_their_sub_label(self):
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objects = unified_objects(
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{
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"zones": [],
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"objects": ["person-verified", "car"],
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"verified_objects": ["person-verified"],
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"sub_labels": ["nick_m"],
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"classification_state_changes": [],
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}
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)
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self.assertEqual(objects, ["Nick M ← person", "car"])
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def test_missing_sub_label_falls_back_to_object_type(self):
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# clearing a sub label on an ended review item leaves verified_objects
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# stale, which previously raised an IndexError on regenerate
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objects = unified_objects(
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{
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"zones": [],
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"objects": ["person-verified"],
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"verified_objects": ["person-verified", "person-verified"],
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"sub_labels": ["Nick"],
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"classification_state_changes": [],
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}
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)
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self.assertEqual(objects, ["Nick ← person", "person"])
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if __name__ == "__main__":
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unittest.main()
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