mirror of
https://github.com/trustgraph-ai/trustgraph.git
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121 lines
3.3 KiB
Python
Executable file
121 lines
3.3 KiB
Python
Executable file
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"""
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Graph embeddings query service. Input is vector, output is list of
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entities
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"""
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from .... direct.milvus import TripleVectors
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from .... schema import GraphEmbeddingsRequest, GraphEmbeddingsResponse
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from .... schema import Error, Value
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from .... schema import graph_embeddings_request_queue
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from .... schema import graph_embeddings_response_queue
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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 = graph_embeddings_request_queue
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default_output_queue = graph_embeddings_response_queue
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default_subscriber = module
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default_store_uri = 'http://localhost:19530'
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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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store_uri = params.get("store_uri", default_store_uri)
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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": GraphEmbeddingsRequest,
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"output_schema": GraphEmbeddingsResponse,
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"store_uri": store_uri,
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}
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)
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self.vecstore = TripleVectors(store_uri)
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def create_value(self, ent):
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if ent.startswith("http://") or ent.startswith("https://"):
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return Value(value=ent, is_uri=True)
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else:
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return Value(value=ent, is_uri=False)
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def handle(self, msg):
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try:
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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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entities = set()
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for vec in v.vectors:
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resp = self.vecstore.search(vec, limit=v.limit)
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for r in resp:
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ent = r["entity"]["entity"]
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entities.add(ent)
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# Convert set to list
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entities = list(entities)
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ents2 = []
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for ent in entities:
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ents2.append(self.create_value(ent))
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entities = ents2
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print("Send response...", flush=True)
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r = GraphEmbeddingsResponse(entities=entities, error=None)
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self.producer.send(r, properties={"id": id})
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print("Done.", flush=True)
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except Exception as e:
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print(f"Exception: {e}")
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print("Send error response...", flush=True)
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r = GraphEmbeddingsResponse(
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error=Error(
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type = "llm-error",
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message = str(e),
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),
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response=None,
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)
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self.producer.send(r, properties={"id": id})
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self.consumer.acknowledge(msg)
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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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'-t', '--store-uri',
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default=default_store_uri,
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help=f'Milvus store URI (default: {default_store_uri})'
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)
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def run():
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Processor.start(module, __doc__)
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