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https://github.com/blakeblackshear/frigate.git
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36cbffcc5e
* Initial re-implementation of semantic search * put docker-compose back and make reindex match docs * remove debug code and fix import * fix docs * manually build pysqlite3 as binaries are only available for x86-64 * update comment in build_pysqlite3.sh * only embed objects * better error handling when genai fails * ask ollama to pull requested model at startup * update ollama docs * address some PR review comments * fix lint * use IPC to write description, update docs for reindex * remove gemini-pro-vision from docs as it will be unavailable soon * fix OpenAI doc available models * fix api error in gemini and metadata for embeddings
44 lines
1.1 KiB
Python
44 lines
1.1 KiB
Python
"""Facilitates communication between processes."""
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from enum import Enum
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from typing import Optional
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from .zmq_proxy import Publisher, Subscriber
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class DetectionTypeEnum(str, Enum):
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all = ""
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api = "api"
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video = "video"
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audio = "audio"
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class DetectionPublisher(Publisher):
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"""Simplifies receiving video and audio detections."""
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topic_base = "detection/"
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def __init__(self, topic: DetectionTypeEnum) -> None:
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topic = topic.value
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super().__init__(topic)
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class DetectionSubscriber(Subscriber):
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"""Simplifies receiving video and audio detections."""
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topic_base = "detection/"
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def __init__(self, topic: DetectionTypeEnum) -> None:
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topic = topic.value
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super().__init__(topic)
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def check_for_update(
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self, timeout: float = None
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) -> Optional[tuple[DetectionTypeEnum, any]]:
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return super().check_for_update(timeout)
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def _return_object(self, topic: str, payload: any) -> any:
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if payload is None:
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return (None, None)
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return (DetectionTypeEnum[topic[len(self.topic_base) :]], payload)
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