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e33fa96599
* Add api to run face recognition on image * Rework save attempts option * Cleanup mobile object pane buttons * Adjust api signature * Remove param * Cleanup
71 lines
2.0 KiB
Python
71 lines
2.0 KiB
Python
"""Facilitates communication between processes."""
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from enum import Enum
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from typing import Callable
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import zmq
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SOCKET_REP_REQ = "ipc:///tmp/cache/embeddings"
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class EmbeddingsRequestEnum(Enum):
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clear_face_classifier = "clear_face_classifier"
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embed_description = "embed_description"
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embed_thumbnail = "embed_thumbnail"
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generate_search = "generate_search"
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recognize_face = "recognize_face"
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register_face = "register_face"
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reprocess_face = "reprocess_face"
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reprocess_plate = "reprocess_plate"
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class EmbeddingsResponder:
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def __init__(self) -> None:
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self.context = zmq.Context()
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self.socket = self.context.socket(zmq.REP)
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self.socket.bind(SOCKET_REP_REQ)
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def check_for_request(self, process: Callable) -> None:
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while True: # load all messages that are queued
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has_message, _, _ = zmq.select([self.socket], [], [], 0.01)
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if not has_message:
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break
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try:
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(topic, value) = self.socket.recv_json(flags=zmq.NOBLOCK)
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response = process(topic, value)
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if response is not None:
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self.socket.send_json(response)
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else:
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self.socket.send_json([])
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except zmq.ZMQError:
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break
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def stop(self) -> None:
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self.socket.close()
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self.context.destroy()
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class EmbeddingsRequestor:
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"""Simplifies sending data to EmbeddingsResponder and getting a reply."""
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def __init__(self) -> None:
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self.context = zmq.Context()
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self.socket = self.context.socket(zmq.REQ)
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self.socket.connect(SOCKET_REP_REQ)
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def send_data(self, topic: str, data: any) -> str:
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"""Sends data and then waits for reply."""
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try:
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self.socket.send_json((topic, data))
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return self.socket.recv_json()
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except zmq.ZMQError:
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return ""
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def stop(self) -> None:
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self.socket.close()
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self.context.destroy()
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