mirror of
https://github.com/trustgraph-ai/trustgraph.git
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9b91d5eee3
* Starting to spawn base package * More package hacking * Bedrock and VertexAI * Parquet split * Updated templates * Utils
102 lines
2.8 KiB
Python
Executable file
102 lines
2.8 KiB
Python
Executable file
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"""
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Accepts entity/vector pairs and writes them to a Qdrant store.
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"""
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from qdrant_client import QdrantClient
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from qdrant_client.models import PointStruct
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from qdrant_client.models import Distance, VectorParams
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import uuid
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from .... schema import GraphEmbeddings
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from .... schema import graph_embeddings_store_queue
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from .... log_level import LogLevel
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from .... base import Consumer
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module = ".".join(__name__.split(".")[1:-1])
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default_input_queue = graph_embeddings_store_queue
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default_subscriber = module
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default_store_uri = 'http://localhost:6333'
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class Processor(Consumer):
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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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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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"subscriber": subscriber,
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"input_schema": GraphEmbeddings,
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"store_uri": store_uri,
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}
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)
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self.last_collection = None
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self.last_dim = None
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self.client = QdrantClient(url=store_uri)
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def handle(self, msg):
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v = msg.value()
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if v.entity.value == "" or v.entity.value is None: return
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for vec in v.vectors:
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dim = len(vec)
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collection = "triples_" + str(dim)
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if dim != self.last_dim:
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if not self.client.collection_exists(collection):
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try:
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self.client.create_collection(
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collection_name=collection,
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vectors_config=VectorParams(
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size=dim, distance=Distance.DOT
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),
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)
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except Exception as e:
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print("Qdrant collection creation failed")
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raise e
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self.last_collection = collection
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self.last_dim = dim
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self.client.upsert(
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collection_name=collection,
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points=[
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PointStruct(
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id=str(uuid.uuid4()),
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vector=vec,
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payload={
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"entity": v.entity.value,
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}
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)
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]
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)
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@staticmethod
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def add_args(parser):
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Consumer.add_args(
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parser, default_input_queue, default_subscriber,
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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'Qdrant 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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