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9ab7613e07
* Basic metrics working * Add consumer & producer metrics * Grafana & Prometheus in docker compose
74 lines
1.9 KiB
Python
Executable file
74 lines
1.9 KiB
Python
Executable file
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"""
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Vectorizer, calls the embeddings service to get embeddings for a chunk.
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Input is text chunk, output is chunk and vectors.
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"""
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from ... schema import Chunk, VectorsChunk
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from ... embeddings_client import EmbeddingsClient
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from ... log_level import LogLevel
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from ... base import ConsumerProducer
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default_input_queue = 'chunk-load'
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default_output_queue = 'vectors-chunk-load'
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default_subscriber = 'embeddings-vectorizer'
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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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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": Chunk,
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"output_schema": VectorsChunk,
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}
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)
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self.embeddings = EmbeddingsClient(pulsar_host=self.pulsar_host)
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def emit(self, source, chunk, vectors):
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r = VectorsChunk(source=source, chunk=chunk, vectors=vectors)
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self.producer.send(r)
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def handle(self, msg):
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v = msg.value()
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print(f"Indexing {v.source.id}...", flush=True)
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chunk = v.chunk.decode("utf-8")
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try:
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vectors = self.embeddings.request(chunk)
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self.emit(
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source=v.source,
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chunk=chunk.encode("utf-8"),
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vectors=vectors
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)
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except Exception as e:
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print("Exception:", e, flush=True)
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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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def run():
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Processor.start("embeddings-vectorize", __doc__)
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