test: refactor vdb tests by visitor design pattern (#3838)

api/tests/integration_tests/vdb/weaviate/test_weaviate.py

@@ -1,41 +1,24 @@
-import uuid
-
 from core.rag.datasource.vdb.weaviate.weaviate_vector import WeaviateConfig, WeaviateVector
 from models.dataset import Dataset
 from tests.integration_tests.vdb.test_vector_store import (
-    get_sample_document,
-    get_sample_embedding,
-    get_sample_query_vector,
-    get_sample_text,
+    AbstractTestVector,
     setup_mock_redis,
 )
 
 
-def test_weaviate_vector(setup_mock_redis) -> None:
-    attributes = ['doc_id', 'dataset_id', 'document_id', 'doc_hash']
-    dataset_id = str(uuid.uuid4())
-    vector = WeaviateVector(
-        collection_name=Dataset.gen_collection_name_by_id(dataset_id),
-        config=WeaviateConfig(
-            endpoint='http://localhost:8080',
-            api_key='WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih',
-        ),
-        attributes=attributes
-    )
+class TestWeaviateVector(AbstractTestVector):
+    def __init__(self):
+        super().__init__()
+        self.attributes = ['doc_id', 'dataset_id', 'document_id', 'doc_hash']
+        self.vector = WeaviateVector(
+            collection_name=self.collection_name,
+            config=WeaviateConfig(
+                endpoint='http://localhost:8080',
+                api_key='WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih',
+            ),
+            attributes=self.attributes
+        )
 
-    # create vector
-    vector.create(
-        texts=[get_sample_document(dataset_id)],
-        embeddings=[get_sample_embedding()],
-    )
 
-    # search by vector
-    hits_by_vector = vector.search_by_vector(query_vector=get_sample_query_vector())
-    assert len(hits_by_vector) >= 1
-
-    # search by full text
-    hits_by_full_text = vector.search_by_full_text(query=get_sample_text())
-    assert len(hits_by_full_text) >= 1
-
-    # delete vector
-    vector.delete()
+def test_weaviate_vector(setup_mock_redis):
+    TestWeaviateVector().run_all_test()