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39 lines
1.0 KiB
Python
39 lines
1.0 KiB
Python
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import uuid
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from core.rag.datasource.vdb.milvus.milvus_vector import MilvusConfig, MilvusVector
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from models.dataset import Dataset
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from tests.integration_tests.vdb.test_vector_store import (
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get_sample_document,
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get_sample_embedding,
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get_sample_query_vector,
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setup_mock_redis,
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)
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def test_milvus_vector(setup_mock_redis) -> None:
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dataset_id = str(uuid.uuid4())
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vector = MilvusVector(
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collection_name=Dataset.gen_collection_name_by_id(dataset_id),
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config=MilvusConfig(
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host='localhost',
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port=19530,
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user='root',
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password='Milvus',
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)
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)
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# create vector
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vector.create(
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texts=[get_sample_document(dataset_id)],
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embeddings=[get_sample_embedding()],
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)
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# search by vector
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hits_by_vector = vector.search_by_vector(query_vector=get_sample_query_vector())
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assert len(hits_by_vector) >= 1
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# milvus dos not support full text searching yet in < 2.3.x
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# delete vector
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vector.delete()
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