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import pdb |
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2
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import pytest |
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3
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import logging |
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4
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import itertools |
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5
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from time import sleep |
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6
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from multiprocessing import Process |
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7
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from milvus import IndexType, MetricType |
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8
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from utils import * |
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9
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10
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dim = 128 |
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11
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default_segment_size = 1024 |
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12
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drop_collection_interval_time = 3 |
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13
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segment_size = 10 |
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14
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collection_id = "logic" |
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15
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vectors = gen_vectors(100, dim) |
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default_fields = gen_default_fields() |
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18
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19
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def create_collection(connect, **params): |
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connect.create_collection(params["collection_name"], default_fields) |
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22
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def search_collection(connect, **params): |
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status, result = connect.search( |
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params["collection_name"], |
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25
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params["top_k"], |
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26
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params["query_vectors"], |
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27
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params={"nprobe": params["nprobe"]}) |
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return status |
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29
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30
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def load_collection(connect, **params): |
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connect.load_collection(params["collection_name"]) |
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32
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33
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def has(connect, **params): |
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34
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status, result = connect.has_collection(params["collection_name"]) |
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return status |
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37
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def show(connect, **params): |
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status, result = connect.list_collections() |
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return status |
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41
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def delete(connect, **params): |
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status = connect.drop_collection(params["collection_name"]) |
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return status |
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45
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def describe(connect, **params): |
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status, result = connect.get_collection_info(params["collection_name"]) |
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return status |
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48
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49
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def rowcount(connect, **params): |
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status, result = connect.count_entities(params["collection_name"]) |
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return status |
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52
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53
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def create_index(connect, **params): |
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54
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status = connect.create_index(params["collection_name"], params["index_type"], params["index_param"]) |
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return status |
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56
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57
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func_map = { |
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# 0:has, |
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59
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1:show, |
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60
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10:create_collection, |
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61
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11:describe, |
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62
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12:rowcount, |
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63
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13:search_collection, |
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64
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14:load_collection, |
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65
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15:create_index, |
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66
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30:delete |
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67
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} |
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68
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69
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def gen_sequence(): |
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70
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raw_seq = func_map.keys() |
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71
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result = itertools.permutations(raw_seq) |
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72
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for x in result: |
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73
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yield x |
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74
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75
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76
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class TestCollectionLogic(object): |
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77
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@pytest.mark.parametrize("logic_seq", gen_sequence()) |
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@pytest.mark.level(2) |
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79
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def _test_logic(self, connect, logic_seq, args): |
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80
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if args["handler"] == "HTTP": |
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pytest.skip("Skip in http mode") |
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82
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if self.is_right(logic_seq): |
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83
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self.execute(logic_seq, connect) |
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84
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else: |
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85
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self.execute_with_error(logic_seq, connect) |
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86
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self.tear_down(connect) |
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87
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88
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def is_right(self, seq): |
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89
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if sorted(seq) == seq: |
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90
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return True |
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91
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92
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not_created = True |
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93
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has_deleted = False |
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94
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for i in range(len(seq)): |
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95
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if seq[i] > 10 and not_created: |
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96
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return False |
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97
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elif seq [i] > 10 and has_deleted: |
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98
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return False |
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99
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elif seq[i] == 10: |
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100
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not_created = False |
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101
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elif seq[i] == 30: |
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102
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has_deleted = True |
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103
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104
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return True |
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105
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106
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def execute(self, logic_seq, connect): |
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107
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basic_params = self.gen_params() |
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108
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for i in range(len(logic_seq)): |
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109
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# logging.getLogger().info(logic_seq[i]) |
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110
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f = func_map[logic_seq[i]] |
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111
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status = f(connect, **basic_params) |
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112
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assert status.OK() |
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113
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114
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def execute_with_error(self, logic_seq, connect): |
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115
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basic_params = self.gen_params() |
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116
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117
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error_flag = False |
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118
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for i in range(len(logic_seq)): |
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f = func_map[logic_seq[i]] |
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120
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status = f(connect, **basic_params) |
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121
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if not status.OK(): |
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122
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# logging.getLogger().info(logic_seq[i]) |
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error_flag = True |
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124
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break |
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125
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assert error_flag == True |
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126
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127
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def tear_down(self, connect): |
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128
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names = connect.list_collections()[1] |
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129
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for name in names: |
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130
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connect.drop_collection(name) |
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131
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132
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def gen_params(self): |
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133
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collection_name = gen_unique_str("collection_id") |
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134
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top_k = 1 |
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135
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vectors = gen_vectors(2, dim) |
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136
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param = {'collection_name': collection_name, |
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137
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'dimension': dim, |
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138
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'metric_type': "L2", |
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139
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'nprobe': 1, |
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140
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'top_k': top_k, |
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141
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'index_type': "IVF_SQ8", |
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142
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'index_param': { |
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143
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'nlist': 16384 |
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144
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}, |
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145
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'query_vectors': vectors} |
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146
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return param |
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147
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milvus-io /
milvus
