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617eb7efd5
* Add pulsar API token check * Added missing api_key references --------- Co-authored-by: Tyler O <4535788+toliver38@users.noreply.github.com>
110 lines
3.2 KiB
Python
Executable file
110 lines
3.2 KiB
Python
Executable file
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"""
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Document embeddings, calls the embeddings service to get embeddings for a
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chunk of text. Input is chunk of text plus metadata.
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Output is chunk plus embedding.
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"""
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from ... schema import Chunk, ChunkEmbeddings, DocumentEmbeddings
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from ... schema import chunk_ingest_queue
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from ... schema import document_embeddings_store_queue
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from ... schema import embeddings_request_queue, embeddings_response_queue
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from ... clients.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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module = ".".join(__name__.split(".")[1:-1])
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default_input_queue = chunk_ingest_queue
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default_output_queue = document_embeddings_store_queue
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default_subscriber = module
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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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emb_request_queue = params.get(
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"embeddings_request_queue", embeddings_request_queue
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)
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emb_response_queue = params.get(
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"embeddings_response_queue", embeddings_response_queue
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)
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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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"embeddings_request_queue": emb_request_queue,
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"embeddings_response_queue": emb_response_queue,
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"subscriber": subscriber,
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"input_schema": Chunk,
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"output_schema": DocumentEmbeddings,
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}
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)
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self.embeddings = EmbeddingsClient(
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pulsar_host=self.pulsar_host,
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pulsar_api_key=self.pulsar_api_key,
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input_queue=emb_request_queue,
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output_queue=emb_response_queue,
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subscriber=module + "-emb",
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)
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async def handle(self, msg):
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v = msg.value()
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print(f"Indexing {v.metadata.id}...", flush=True)
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try:
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vectors = self.embeddings.request(v.chunk)
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embeds = [
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ChunkEmbeddings(
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chunk=v.chunk,
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vectors=vectors,
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)
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]
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r = DocumentEmbeddings(
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metadata=v.metadata,
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chunks=embeds,
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)
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await self.send(r)
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except Exception as e:
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print("Exception:", e, flush=True)
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# Retry
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raise e
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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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'--embeddings-request-queue',
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default=embeddings_request_queue,
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help=f'Embeddings request queue (default: {embeddings_request_queue})',
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)
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parser.add_argument(
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'--embeddings-response-queue',
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default=embeddings_response_queue,
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help=f'Embeddings request queue (default: {embeddings_response_queue})',
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)
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def run():
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Processor.launch(module, __doc__)
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