| from unittest.mock import MagicMock |
|
|
| from core.rag.datasource.vdb.tencent.tencent_vector import TencentConfig, TencentVector |
| from tests.integration_tests.vdb.__mock.tcvectordb import setup_tcvectordb_mock |
| from tests.integration_tests.vdb.test_vector_store import AbstractVectorTest, get_example_text, setup_mock_redis |
|
|
| mock_client = MagicMock() |
| mock_client.list_databases.return_value = [{"name": "test"}] |
|
|
|
|
| class TencentVectorTest(AbstractVectorTest): |
| def __init__(self): |
| super().__init__() |
| self.vector = TencentVector( |
| "dify", |
| TencentConfig( |
| url="http://127.0.0.1", |
| api_key="dify", |
| timeout=30, |
| username="dify", |
| database="dify", |
| shard=1, |
| replicas=2, |
| ), |
| ) |
|
|
| def search_by_vector(self): |
| hits_by_vector = self.vector.search_by_vector(query_vector=self.example_embedding) |
| assert len(hits_by_vector) == 1 |
|
|
| def search_by_full_text(self): |
| hits_by_full_text = self.vector.search_by_full_text(query=get_example_text()) |
| assert len(hits_by_full_text) == 0 |
|
|
|
|
| def test_tencent_vector(setup_mock_redis, setup_tcvectordb_mock): |
| TencentVectorTest().run_all_tests() |
|
|