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https://github.com/blakeblackshear/frigate.git
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Ignore warnings
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6bc5cd4b43
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@ -139,7 +139,7 @@ def stats_history():
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def config():
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config_obj: FrigateConfig = current_app.frigate_config
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config: dict[str, dict[str, any]] = config_obj.model_dump(
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mode="json", warnings="error", exclude_none=True
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mode="json", warnings="none", exclude_none=True
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)
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# remove the mqtt password
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@ -1351,12 +1351,12 @@ class FrigateConfig(FrigateBaseModel):
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"timestamp_style": ...,
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},
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exclude_unset=True,
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warnings="error",
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warnings="none",
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)
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for name, camera in config.cameras.items():
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merged_config = deep_merge(
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camera.model_dump(exclude_unset=True, warnings="error"), global_config
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camera.model_dump(exclude_unset=True, warnings="none"), global_config
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)
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camera_config: CameraConfig = CameraConfig.model_validate(
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{"name": name, **merged_config}
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@ -1467,7 +1467,7 @@ class FrigateConfig(FrigateBaseModel):
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# Set runtime filter to create masks
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camera_config.objects.filters[object] = RuntimeFilterConfig(
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frame_shape=camera_config.frame_shape,
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**filter.model_dump(exclude_unset=True, warnings="error"),
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**filter.model_dump(exclude_unset=True, warnings="none"),
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)
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# Convert motion configuration
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@ -1480,7 +1480,7 @@ class FrigateConfig(FrigateBaseModel):
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frame_shape=camera_config.frame_shape,
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raw_mask=camera_config.motion.mask,
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**camera_config.motion.model_dump(
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exclude_unset=True, warnings="error"
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exclude_unset=True, warnings="none"
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),
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)
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camera_config.motion.enabled_in_config = camera_config.motion.enabled
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@ -1520,7 +1520,7 @@ class FrigateConfig(FrigateBaseModel):
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model_dict = (
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detector
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if isinstance(detector, dict)
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else detector.model_dump(warnings="error")
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else detector.model_dump(warnings="none")
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)
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detector_config: DetectorConfig = adapter.validate_python(model_dict)
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if detector_config.model is None:
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@ -1541,8 +1541,8 @@ class FrigateConfig(FrigateBaseModel):
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"Customizing more than a detector model path is unsupported."
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)
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merged_model = deep_merge(
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detector_config.model.model_dump(exclude_unset=True, warnings="error"),
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config.model.model_dump(exclude_unset=True, warnings="error"),
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detector_config.model.model_dump(exclude_unset=True, warnings="none"),
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config.model.model_dump(exclude_unset=True, warnings="none"),
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)
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if "path" not in merged_model:
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