import datetime import pytest from base.client_base import TestcaseBase from common import common_func as cf from common import common_type as ct from common.common_type import CaseLabel prefix = "e2e_" class TestE2e(TestcaseBase): """ Test case of end to end""" @pytest.mark.tags(CaseLabel.L2) @pytest.mark.parametrize("name", [(cf.gen_unique_str(prefix))]) def test_milvus_default(self, name): from utils.util_log import test_log as log # create t0 = datetime.datetime.now() collection_w = self.init_collection_wrap(name=name) tt = datetime.datetime.now() - t0 log.debug(f"assert create: {tt}") assert collection_w.name == name # insert data = cf.gen_default_list_data() t0 = datetime.datetime.now() _, res = collection_w.insert(data) tt = datetime.datetime.now() - t0 log.debug(f"assert insert: {tt}") assert res # flush t0 = datetime.datetime.now() assert collection_w.num_entities == len(data[0]) tt = datetime.datetime.now() - t0 log.debug(f"assert flush: {tt}") # search collection_w.load() search_vectors = cf.gen_vectors(1, ct.default_dim) t0 = datetime.datetime.now() res_1, _ = collection_w.search(data=search_vectors, anns_field=ct.default_float_vec_field_name, param={"nprobe": 16}, limit=1) tt = datetime.datetime.now() - t0 log.debug(f"assert search: {tt}") assert len(res_1) == 1 # collection_w.release() # index collection_w.insert(cf.gen_default_dataframe_data(nb=5000)) assert collection_w.num_entities == len(data[0]) + 5000 _index_params = {"index_type": "IVF_SQ8", "metric_type": "L2", "params": {"nlist": 64}} t0 = datetime.datetime.now() index, _ = collection_w.create_index(field_name=ct.default_float_vec_field_name, index_params=_index_params, name=cf.gen_unique_str()) tt = datetime.datetime.now() - t0 log.debug(f"assert index: {tt}") assert len(collection_w.indexes) == 1 # query term_expr = f'{ct.default_int64_field_name} in [3001,4001,4999,2999]' t0 = datetime.datetime.now() res, _ = collection_w.query(term_expr) tt = datetime.datetime.now() - t0 log.debug(f"assert query: {tt}") assert len(res) == 4