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97 lines
2.5 KiB
Python
Executable file
97 lines
2.5 KiB
Python
Executable file
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"""
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Embeddings service, applies an embeddings model selected from HuggingFace.
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Input is text, output is embeddings vector.
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"""
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from ... schema import EmbeddingsRequest, EmbeddingsResponse
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from ... schema import embeddings_request_queue, embeddings_response_queue
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from ... log_level import LogLevel
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from ... base import ConsumerProducer
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from ollama import Client
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import os
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module = ".".join(__name__.split(".")[1:-1])
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default_input_queue = embeddings_request_queue
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default_output_queue = embeddings_response_queue
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default_subscriber = module
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default_model="mxbai-embed-large"
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default_ollama = os.getenv("OLLAMA_HOST", 'http://localhost:11434')
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class Processor(ConsumerProducer):
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def __init__(self, **params):
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input_queue = params.get("input_queue", default_input_queue)
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output_queue = params.get("output_queue", default_output_queue)
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subscriber = params.get("subscriber", default_subscriber)
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ollama = params.get("ollama", default_ollama)
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model = params.get("model", default_model)
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super(Processor, self).__init__(
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**params | {
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"input_queue": input_queue,
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"output_queue": output_queue,
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"subscriber": subscriber,
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"input_schema": EmbeddingsRequest,
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"output_schema": EmbeddingsResponse,
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"ollama": ollama,
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"model": model,
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}
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)
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self.client = Client(host=ollama)
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self.model = model
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def handle(self, msg):
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v = msg.value()
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# Sender-produced ID
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id = msg.properties()["id"]
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print(f"Handling input {id}...", flush=True)
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text = v.text
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embeds = self.client.embed(
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model = self.model,
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input = text
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)
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print("Send response...", flush=True)
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r = EmbeddingsResponse(
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vectors=embeds.embeddings,
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error=None,
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)
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self.producer.send(r, properties={"id": id})
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print("Done.", flush=True)
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@staticmethod
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def add_args(parser):
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ConsumerProducer.add_args(
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parser, default_input_queue, default_subscriber,
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default_output_queue,
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)
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parser.add_argument(
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'-m', '--model',
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default=default_model,
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help=f'Embeddings model (default: {default_model})'
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)
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parser.add_argument(
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'-r', '--ollama',
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default=default_ollama,
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help=f'ollama (default: {default_ollama})'
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)
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def run():
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Processor.start(module, __doc__)
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