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a847d56ac0
issue: #30221 Signed-off-by: binbin lv <binbin.lv@zilliz.com>
271 lines
13 KiB
Python
271 lines
13 KiB
Python
import multiprocessing
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import numbers
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import random
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import numpy
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import threading
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import pytest
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import pandas as pd
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import decimal
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from decimal import Decimal, getcontext
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from time import sleep
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import heapq
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from pymilvus import DataType
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from base.client_base import TestcaseBase
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from utils.util_log import test_log as log
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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, CheckTasks
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from utils.util_pymilvus import *
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from common.constants import *
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from pymilvus.orm.types import CONSISTENCY_STRONG, CONSISTENCY_BOUNDED, CONSISTENCY_SESSION, CONSISTENCY_EVENTUALLY
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from base.high_level_api_wrapper import HighLevelApiWrapper
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client_w = HighLevelApiWrapper()
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prefix = "milvus_client_api_partition"
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partition_prefix = "milvus_client_api_partition"
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epsilon = ct.epsilon
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default_nb = ct.default_nb
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default_nb_medium = ct.default_nb_medium
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default_nq = ct.default_nq
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default_dim = ct.default_dim
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default_limit = ct.default_limit
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default_search_exp = "id >= 0"
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exp_res = "exp_res"
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default_search_string_exp = "varchar >= \"0\""
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default_search_mix_exp = "int64 >= 0 && varchar >= \"0\""
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default_invaild_string_exp = "varchar >= 0"
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default_json_search_exp = "json_field[\"number\"] >= 0"
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perfix_expr = 'varchar like "0%"'
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default_search_field = ct.default_float_vec_field_name
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default_search_params = ct.default_search_params
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default_primary_key_field_name = "id"
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default_vector_field_name = "vector"
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default_float_field_name = ct.default_float_field_name
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default_bool_field_name = ct.default_bool_field_name
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default_string_field_name = ct.default_string_field_name
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default_int32_array_field_name = ct.default_int32_array_field_name
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default_string_array_field_name = ct.default_string_array_field_name
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class TestMilvusClientPartitionInvalid(TestcaseBase):
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""" Test case of search interface """
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@pytest.fixture(scope="function", params=[False, True])
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def auto_id(self, request):
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yield request.param
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@pytest.fixture(scope="function", params=["COSINE", "L2"])
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def metric_type(self, request):
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yield request.param
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"""
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******************************************************************
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# The following are invalid base cases
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******************************************************************
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"""
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@pytest.mark.tags(CaseLabel.L1)
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@pytest.mark.parametrize("collection_name", ["12-s", "12 s", "(mn)", "中文", "%$#"])
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def test_milvus_client_collection_invalid_collection_name(self, collection_name):
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"""
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target: test fast create collection normal case
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method: create collection
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expected: create collection with default schema, index, and load successfully
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"""
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client = self._connect(enable_milvus_client_api=True)
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# 1. create collection
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error = {ct.err_code: 1100, ct.err_msg: f"invalid dimension: {collection_name}. should be in range 1 ~ 32768"}
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client_w.create_collection(client, collection_name, default_dim,
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check_task=CheckTasks.err_res, check_items=error)
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@pytest.mark.tags(CaseLabel.L1)
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def test_milvus_client_collection_name_over_max_length(self):
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"""
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target: test fast create collection normal case
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method: create collection
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expected: create collection with default schema, index, and load successfully
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"""
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client = self._connect(enable_milvus_client_api=True)
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# 1. create collection
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collection_name = "a".join("a" for i in range(256))
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error = {ct.err_code: 1100, ct.err_msg: f"invalid dimension: {collection_name}. "
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f"the length of a collection name must be less than 255 characters: "
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f"invalid parameter"}
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client_w.create_collection(client, collection_name, default_dim,
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check_task=CheckTasks.err_res, check_items=error)
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@pytest.mark.tags(CaseLabel.L1)
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def test_milvus_client_collection_name_empty(self):
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"""
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target: test fast create collection normal case
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method: create collection
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expected: create collection with default schema, index, and load successfully
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"""
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client = self._connect(enable_milvus_client_api=True)
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# 1. create collection
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collection_name = " "
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error = {ct.err_code: 0, ct.err_msg: "collection name should not be empty: invalid parameter"}
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client_w.create_collection(client, collection_name, default_dim,
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check_task=CheckTasks.err_res, check_items=error)
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@pytest.mark.tags(CaseLabel.L1)
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@pytest.mark.parametrize("dim", [ct.min_dim-1, ct.max_dim+1])
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def test_milvus_client_collection_invalid_dim(self, dim):
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"""
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target: test fast create collection normal case
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method: create collection
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expected: create collection with default schema, index, and load successfully
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"""
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client = self._connect(enable_milvus_client_api=True)
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collection_name = cf.gen_unique_str(prefix)
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# 1. create collection
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error = {ct.err_code: 65535, ct.err_msg: f"invalid dimension: {dim}. should be in range 1 ~ 32768"}
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client_w.create_collection(client, collection_name, dim,
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check_task=CheckTasks.err_res, check_items=error)
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client_w.drop_collection(client, collection_name)
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@pytest.mark.tags(CaseLabel.L2)
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@pytest.mark.xfail(reason="pymilvus issue 1554")
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def test_milvus_client_collection_invalid_primary_field(self):
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"""
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target: test high level api: client.create_collection
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method: create collection with invalid primary field
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expected: Raise exception
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"""
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client = self._connect(enable_milvus_client_api=True)
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collection_name = cf.gen_unique_str(prefix)
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# 1. create collection
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error = {ct.err_code: 1, ct.err_msg: f"Param id_type must be int or string"}
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client_w.create_collection(client, collection_name, default_dim, id_type="invalid",
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check_task=CheckTasks.err_res, check_items=error)
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@pytest.mark.tags(CaseLabel.L2)
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def test_milvus_client_collection_string_auto_id(self):
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"""
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target: test high level api: client.create_collection
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method: create collection with auto id on string primary key
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expected: Raise exception
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"""
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client = self._connect(enable_milvus_client_api=True)
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collection_name = cf.gen_unique_str(prefix)
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# 1. create collection
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error = {ct.err_code: 65535, ct.err_msg: f"type param(max_length) should be specified for varChar "
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f"field of collection {collection_name}"}
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client_w.create_collection(client, collection_name, default_dim, id_type="string", auto_id=True,
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check_task=CheckTasks.err_res, check_items=error)
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@pytest.mark.tags(CaseLabel.L1)
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def test_milvus_client_create_same_collection_different_params(self):
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"""
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target: test high level api: client.create_collection
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method: create
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expected: 1. Successfully to create collection with same params
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2. Report errors for creating collection with same name and different params
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"""
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client = self._connect(enable_milvus_client_api=True)
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collection_name = cf.gen_unique_str(prefix)
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# 1. create collection
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client_w.create_collection(client, collection_name, default_dim)
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# 2. create collection with same params
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client_w.create_collection(client, collection_name, default_dim)
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# 3. create collection with same name and different params
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error = {ct.err_code: 1, ct.err_msg: f"create duplicate collection with different parameters, "
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f"collection: {collection_name}"}
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client_w.create_collection(client, collection_name, default_dim+1,
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check_task=CheckTasks.err_res, check_items=error)
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client_w.drop_collection(client, collection_name)
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@pytest.mark.tags(CaseLabel.L2)
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@pytest.mark.xfail(reason="pymilvus issue 1872")
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@pytest.mark.parametrize("metric_type", [1, " ", "invalid"])
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def test_milvus_client_collection_invalid_metric_type(self, metric_type):
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"""
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target: test high level api: client.create_collection
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method: create collection with auto id on string primary key
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expected: Raise exception
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"""
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client = self._connect(enable_milvus_client_api=True)
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collection_name = cf.gen_unique_str(prefix)
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# 1. create collection
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error = {ct.err_code: 65535,
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ct.err_msg: "metric type not found or not supported, supported: [L2 IP COSINE HAMMING JACCARD]"}
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client_w.create_collection(client, collection_name, default_dim, metric_type=metric_type,
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check_task=CheckTasks.err_res, check_items=error)
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class TestMilvusClientPartitionValid(TestcaseBase):
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""" Test case of search interface """
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@pytest.fixture(scope="function", params=[False, True])
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def auto_id(self, request):
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yield request.param
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@pytest.fixture(scope="function", params=["COSINE", "L2", "IP"])
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def metric_type(self, request):
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yield request.param
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@pytest.fixture(scope="function", params=["int", "string"])
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def id_type(self, request):
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yield request.param
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"""
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******************************************************************
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# The following are valid base cases
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******************************************************************
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"""
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@pytest.mark.tags(CaseLabel.L0)
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@pytest.mark.skip(reason="pymilvus issue 1880")
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def test_milvus_client_partition_default(self):
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"""
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target: test fast create collection normal case
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method: create collection
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expected: create collection with default schema, index, and load successfully
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"""
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client = self._connect(enable_milvus_client_api=True)
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collection_name = cf.gen_unique_str(prefix)
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partition_name = cf.gen_unique_str(partition_prefix)
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# 1. create collection
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client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
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# 2. create partition
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client_w.create_partition(client, collection_name, partition_name)
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partitions = client_w.list_partitions(client, collection_name)[0]
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assert partition_name in partitions
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index = client_w.list_indexes(client, collection_name)[0]
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assert index == ['vector']
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# load_state = client_w.get_load_state(collection_name)[0]
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# 3. insert
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rng = np.random.default_rng(seed=19530)
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rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
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default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
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client_w.insert(client, collection_name, rows)
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# 3. search
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vectors_to_search = rng.random((1, default_dim))
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insert_ids = [i for i in range(default_nb)]
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client_w.search(client, collection_name, vectors_to_search,
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partition_names=partitions,
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check_task=CheckTasks.check_search_results,
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check_items={"enable_milvus_client_api": True,
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"nq": len(vectors_to_search),
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"ids": insert_ids,
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"limit": default_limit})
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# 4. query
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res = client_w.query(client, collection_name, filter=default_search_exp,
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output_fields=["vector"], partition_names=partitions,
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check_task=CheckTasks.check_query_results,
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check_items={exp_res: rows,
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"with_vec": True,
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"primary_field": default_primary_key_field_name})[0]
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assert set(res[0].keys()) == {"ids", "vector"}
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partition_number = client_w.get_partition_stats(client, collection_name, "_default")[0]
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assert partition_number == default_nb
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partition_number = client_w.get_partition_stats(client, collection_name, partition_name)[0]
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assert partition_number[0]['value'] == 0
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if client_w.has_partition(client, collection_name, partition_name)[0]:
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client_w.release_partitions(client, collection_name, partition_name)
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client_w.drop_partition(client, collection_name, partition_name)
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if client_w.has_collection(client, collection_name)[0]:
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client_w.drop_collection(client, collection_name)
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