Lindorm MCP Server

import pytest from src.lindorm_mcp_server.lindorm_vector_search import LindormVectorSearchClient # 你需要提供实际的连接信息 SEARCH_HOST = "" AI_HOST = "" USERNAME = "" PASSWORD = "" TEXT_EMBEDDING_MODEL = "" TEST_INDEX_NAME = "" CONTENT_FIELD = "" VECTOR_FIELD = "" @pytest.fixture(scope="module") def search_client(): return LindormVectorSearchClient(SEARCH_HOST, AI_HOST, USERNAME, PASSWORD, TEXT_EMBEDDING_MODEL) def test_lindorm_search_list_indexes(search_client): indexes = search_client.list_indexes() assert isinstance(indexes, list) assert len(indexes) > 0 print(f"Found indexes: {indexes}") def test_lindorm_search_get_index_mapping(search_client): mapping = search_client.get_index_mappings(TEST_INDEX_NAME) assert mapping is not None assert TEST_INDEX_NAME in mapping print(f"Index mapping: {mapping}") def test_lindorm_search_rrf_search(search_client): results = search_client.rrf_search(TEST_INDEX_NAME, "test query", 5, CONTENT_FIELD, VECTOR_FIELD) assert isinstance(results, list) assert len(results) <= 5 print(f"RRF search results: {results}") def test_lindorm_search_full_text_search(search_client): results = search_client.full_text_search(TEST_INDEX_NAME, "test query", 5, CONTENT_FIELD) assert isinstance(results, list) assert len(results) <= 5 print(f"Full text search results: {results}") def test_lindorm_search_vector_search(search_client): results = search_client.vector_search(TEST_INDEX_NAME, "test query", 5, CONTENT_FIELD, VECTOR_FIELD) assert isinstance(results, list) assert len(results) <= 5 print(f"Vector search results: {results}")