test: run vdb tests on TiDB Vector with docker in CI tests (#11645)
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@@ -37,8 +37,6 @@ class TiDBVectorConfig(BaseModel):
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raise ValueError("config TIDB_VECTOR_PORT is required")
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if not values["user"]:
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raise ValueError("config TIDB_VECTOR_USER is required")
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if not values["password"]:
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raise ValueError("config TIDB_VECTOR_PASSWORD is required")
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if not values["database"]:
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raise ValueError("config TIDB_VECTOR_DATABASE is required")
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if not values["program_name"]:
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@@ -12,11 +12,11 @@ def tidb_vector():
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return TiDBVector(
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collection_name="test_collection",
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config=TiDBVectorConfig(
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host="xxx.eu-central-1.xxx.aws.tidbcloud.com",
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port="4000",
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user="xxx.root",
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password="xxxxxx",
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database="dify",
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host="localhost",
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port=4000,
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user="root",
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password="",
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database="test",
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program_name="langgenius/dify",
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),
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)
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@@ -27,35 +27,14 @@ class TiDBVectorTest(AbstractVectorTest):
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super().__init__()
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self.vector = vector
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def text_exists(self):
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exist = self.vector.text_exists(self.example_doc_id)
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assert exist == False
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def search_by_vector(self):
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hits_by_vector: list[Document] = self.vector.search_by_vector(query_vector=self.example_embedding)
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assert len(hits_by_vector) == 0
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def search_by_full_text(self):
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hits_by_full_text: list[Document] = self.vector.search_by_full_text(query=get_example_text())
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assert len(hits_by_full_text) == 0
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def get_ids_by_metadata_field(self):
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ids = self.vector.get_ids_by_metadata_field(key="document_id", value=self.example_doc_id)
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assert len(ids) == 0
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ids = self.vector.get_ids_by_metadata_field(key="doc_id", value=self.example_doc_id)
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assert len(ids) == 1
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def test_tidb_vector(setup_mock_redis, setup_tidbvector_mock, tidb_vector, mock_session):
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def test_tidb_vector(setup_mock_redis, tidb_vector):
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TiDBVectorTest(vector=tidb_vector).run_all_tests()
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@pytest.fixture
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def mock_session():
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with patch("core.rag.datasource.vdb.tidb_vector.tidb_vector.Session", new_callable=MagicMock) as mock_session:
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yield mock_session
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@pytest.fixture
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def setup_tidbvector_mock(tidb_vector, mock_session):
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with patch("core.rag.datasource.vdb.tidb_vector.tidb_vector.create_engine"):
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with patch.object(tidb_vector._engine, "connect"):
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yield tidb_vector
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