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33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
from core.rag.datasource.vdb.qdrant.qdrant_vector import QdrantConfig, QdrantVector
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from core.rag.models.document import Document
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from tests.integration_tests.vdb.test_vector_store import (
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AbstractVectorTest,
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setup_mock_redis,
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)
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class QdrantVectorTest(AbstractVectorTest):
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def __init__(self):
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super().__init__()
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self.attributes = ["doc_id", "dataset_id", "document_id", "doc_hash"]
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self.vector = QdrantVector(
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collection_name=self.collection_name,
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group_id=self.dataset_id,
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config=QdrantConfig(
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endpoint="http://localhost:6333",
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api_key="difyai123456",
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),
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)
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def search_by_vector(self):
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super().search_by_vector()
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# only test for qdrant, may not work on other vector stores
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hits_by_vector: list[Document] = self.vector.search_by_vector(
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query_vector=self.example_embedding, score_threshold=1
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)
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assert len(hits_by_vector) == 0
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def test_qdrant_vector(setup_mock_redis):
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QdrantVectorTest().run_all_tests()
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