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100 lines
3.5 KiB
Python
100 lines
3.5 KiB
Python
import time
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import pytest
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from base.client_base import TestcaseBase
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from common import common_func as cf
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from common import common_type as ct
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from common.common_type import CaseLabel
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from utils.util_log import test_log as log
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prefix = "e2e_"
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class TestE2e(TestcaseBase):
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""" Test case of end to end"""
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@pytest.mark.tags(CaseLabel.L1)
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def test_milvus_default(self):
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# create
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name = cf.gen_unique_str(prefix)
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t0 = time.time()
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collection_w = self.init_collection_wrap(name=name, active_trace=True)
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tt = time.time() - t0
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assert collection_w.name == name
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entities = collection_w.num_entities
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log.info(f"assert create collection: {tt}, init_entities: {entities}")
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# insert
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data = cf.gen_default_list_data()
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t0 = time.time()
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_, res = collection_w.insert(data)
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tt = time.time() - t0
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log.info(f"assert insert: {tt}")
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assert res
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# flush
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t0 = time.time()
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_, check_result = collection_w.flush(timeout=180)
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assert check_result
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assert collection_w.num_entities == len(data[0]) + entities
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tt = time.time() - t0
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entities = collection_w.num_entities
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log.info(f"assert flush: {tt}, entities: {entities}")
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# index
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index_params = {"index_type": "IVF_SQ8", "params": {"nlist": 64}, "metric_type": "L2"}
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t0 = time.time()
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index, _ = collection_w.create_index(field_name=ct.default_float_vec_field_name,
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index_params=index_params,
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index_name=cf.gen_unique_str())
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index, _ = collection_w.create_index(field_name=ct.default_string_field_name,
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index_params={},
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index_name=cf.gen_unique_str())
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tt = time.time() - t0
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log.info(f"assert index: {tt}")
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assert len(collection_w.indexes) == 2
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# load
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collection_w.load()
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# search
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search_vectors = cf.gen_vectors(1, ct.default_dim)
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search_params = {"metric_type": "L2", "params": {"nprobe": 16}}
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t0 = time.time()
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res_1, _ = collection_w.search(data=search_vectors,
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anns_field=ct.default_float_vec_field_name,
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param=search_params, limit=1)
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tt = time.time() - t0
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log.info(f"assert search: {tt}")
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assert len(res_1) == 1
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# release
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collection_w.release()
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# insert
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d = cf.gen_default_list_data()
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collection_w.insert(d)
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# search
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t0 = time.time()
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collection_w.load()
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tt = time.time() - t0
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log.info(f"assert load: {tt}")
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nq = 5
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topk = 5
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search_vectors = cf.gen_vectors(nq, ct.default_dim)
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t0 = time.time()
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res, _ = collection_w.search(data=search_vectors,
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anns_field=ct.default_float_vec_field_name,
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param=search_params, limit=topk)
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tt = time.time() - t0
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log.info(f"assert search: {tt}")
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assert len(res) == nq
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assert len(res[0]) <= topk
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# query
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term_expr = f'{ct.default_int64_field_name} in [1, 2, 3, 4]'
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t0 = time.time()
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res, _ = collection_w.query(term_expr)
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tt = time.time() - t0
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log.info(f"assert query result {len(res)}: {tt}")
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assert len(res) >= 4
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