Total Complexity | 56 |
Total Lines | 544 |
Duplicated Lines | 28.68 % |
Changes | 0 |
Duplicate code is one of the most pungent code smells. A rule that is often used is to re-structure code once it is duplicated in three or more places.
Common duplication problems, and corresponding solutions are:
Complex classes like test_collection_count often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
1 | import pdb |
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2 | import copy |
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3 | import logging |
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4 | import itertools |
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5 | from time import sleep |
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6 | import threading |
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7 | from multiprocessing import Process |
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8 | import sklearn.preprocessing |
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9 | |||
10 | import pytest |
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11 | from utils import * |
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12 | |||
13 | nb = 6000 |
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14 | dim = 128 |
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15 | tag = "tag" |
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16 | collection_id = "count_collection" |
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17 | add_interval_time = 3 |
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18 | segment_row_count = 5000 |
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19 | default_fields = gen_default_fields() |
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20 | entities = gen_entities(nb) |
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21 | raw_vectors, binary_entities = gen_binary_entities(nb) |
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22 | field_name = "fload_vector" |
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23 | index_name = "index_name" |
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24 | |||
25 | |||
26 | class TestCollectionCount: |
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27 | """ |
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28 | params means different nb, the nb value may trigger merge, or not |
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29 | """ |
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30 | @pytest.fixture( |
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31 | scope="function", |
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32 | params=[ |
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33 | 1, |
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34 | 4000, |
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35 | 6001 |
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36 | ], |
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37 | ) |
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38 | def insert_count(self, request): |
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39 | yield request.param |
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40 | |||
41 | """ |
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42 | generate valid create_index params |
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43 | """ |
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44 | View Code Duplication | @pytest.fixture( |
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45 | scope="function", |
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46 | params=gen_simple_index() |
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47 | ) |
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48 | def get_simple_index(self, request, connect): |
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49 | if str(connect._cmd("mode")[1]) == "CPU": |
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50 | if request.param["index_type"] in index_cpu_not_support(): |
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51 | pytest.skip("sq8h not support in cpu mode") |
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52 | request.param.update({"metric_type": "L2"}) |
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53 | return request.param |
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54 | |||
55 | def test_collection_count(self, connect, collection, insert_count): |
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56 | ''' |
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57 | target: test collection rows_count is correct or not |
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58 | method: create collection and add vectors in it, |
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59 | assert the value returned by count_entities method is equal to length of vectors |
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60 | expected: the count is equal to the length of vectors |
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61 | ''' |
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62 | entities = gen_entities(insert_count) |
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63 | res = connect.insert(collection, entities) |
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64 | connect.flush([collection]) |
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65 | res = connect.count_entities(collection) |
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66 | assert res == insert_count |
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67 | |||
68 | def test_collection_count_partition(self, connect, collection, insert_count): |
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69 | ''' |
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70 | target: test collection rows_count is correct or not |
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71 | method: create collection, create partition and add vectors in it, |
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72 | assert the value returned by count_entities method is equal to length of vectors |
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73 | expected: the count is equal to the length of vectors |
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74 | ''' |
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75 | entities = gen_entities(insert_count) |
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76 | connect.create_partition(collection, tag) |
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77 | res_ids = connect.insert(collection, entities, partition_tag=tag) |
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78 | connect.flush([collection]) |
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79 | res = connect.count_entities(collection) |
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80 | assert res == insert_count |
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81 | |||
82 | def test_collection_count_multi_partitions_A(self, connect, collection, insert_count): |
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83 | ''' |
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84 | target: test collection rows_count is correct or not |
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85 | method: create collection, create partitions and add entities in it, |
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86 | assert the value returned by count_entities method is equal to length of entities |
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87 | expected: the count is equal to the length of entities |
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88 | ''' |
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89 | new_tag = "new_tag" |
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90 | entities = gen_entities(insert_count) |
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91 | connect.create_partition(collection, tag) |
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92 | connect.create_partition(collection, new_tag) |
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93 | res_ids = connect.insert(collection, entities) |
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94 | connect.flush([collection]) |
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95 | res = connect.count_entities(collection) |
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96 | assert res == insert_count |
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97 | |||
98 | def test_collection_count_multi_partitions_B(self, connect, collection, insert_count): |
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99 | ''' |
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100 | target: test collection rows_count is correct or not |
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101 | method: create collection, create partitions and add entities in one of the partitions, |
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102 | assert the value returned by count_entities method is equal to length of entities |
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103 | expected: the count is equal to the length of entities |
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104 | ''' |
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105 | new_tag = "new_tag" |
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106 | entities = gen_entities(insert_count) |
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107 | connect.create_partition(collection, tag) |
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108 | connect.create_partition(collection, new_tag) |
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109 | res_ids = connect.insert(collection, entities, partition_tag=tag) |
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110 | connect.flush([collection]) |
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111 | res = connect.count_entities(collection) |
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112 | assert res == insert_count |
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113 | |||
114 | def test_collection_count_multi_partitions_C(self, connect, collection, insert_count): |
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115 | ''' |
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116 | target: test collection rows_count is correct or not |
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117 | method: create collection, create partitions and add entities in one of the partitions, |
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118 | assert the value returned by count_entities method is equal to length of entities |
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119 | expected: the count is equal to the length of vectors |
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120 | ''' |
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121 | new_tag = "new_tag" |
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122 | entities = gen_entities(insert_count) |
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123 | connect.create_partition(collection, tag) |
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124 | connect.create_partition(collection, new_tag) |
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125 | res_ids = connect.insert(collection, entities) |
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126 | res_ids_2 = connect.insert(collection, entities, partition_tag=tag) |
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127 | connect.flush([collection]) |
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128 | res = connect.count_entities(collection) |
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129 | assert res == insert_count * 2 |
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130 | |||
131 | def test_collection_count_multi_partitions_D(self, connect, collection, insert_count): |
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132 | ''' |
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133 | target: test collection rows_count is correct or not |
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134 | method: create collection, create partitions and add entities in one of the partitions, |
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135 | assert the value returned by count_entities method is equal to length of entities |
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136 | expected: the collection count is equal to the length of entities |
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137 | ''' |
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138 | new_tag = "new_tag" |
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139 | entities = gen_entities(insert_count) |
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140 | connect.create_partition(collection, tag) |
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141 | connect.create_partition(collection, new_tag) |
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142 | res_ids = connect.insert(collection, entities, partition_tag=tag) |
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143 | res_ids2 = connect.insert(collection, entities, partition_tag=new_tag) |
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144 | connect.flush([collection]) |
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145 | res = connect.count_entities(collection) |
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146 | assert res == insert_count * 2 |
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147 | |||
148 | View Code Duplication | def _test_collection_count_after_index_created(self, connect, collection, get_simple_index, insert_count): |
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149 | ''' |
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150 | target: test count_entities, after index have been created |
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151 | method: add vectors in db, and create index, then calling count_entities with correct params |
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152 | expected: count_entities raise exception |
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153 | ''' |
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154 | entities = gen_entities(insert_count) |
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155 | res = connect.insert(collection, entities) |
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156 | connect.flush([collection]) |
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157 | connect.create_index(collection, field_name, get_simple_index) |
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158 | res = connect.count_entities(collection) |
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159 | assert res == insert_count |
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160 | |||
161 | @pytest.mark.level(2) |
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162 | def test_count_without_connection(self, collection, dis_connect): |
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163 | ''' |
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164 | target: test count_entities, without connection |
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165 | method: calling count_entities with correct params, with a disconnected instance |
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166 | expected: count_entities raise exception |
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167 | ''' |
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168 | with pytest.raises(Exception) as e: |
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169 | dis_connect.count_entities(collection) |
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170 | |||
171 | def test_collection_count_no_vectors(self, connect, collection): |
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172 | ''' |
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173 | target: test collection rows_count is correct or not, if collection is empty |
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174 | method: create collection and no vectors in it, |
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175 | assert the value returned by count_entities method is equal to 0 |
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176 | expected: the count is equal to 0 |
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177 | ''' |
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178 | res = connect.count_entities(collection) |
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179 | assert res == 0 |
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180 | |||
181 | |||
182 | class TestCollectionCountIP: |
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183 | """ |
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184 | params means different nb, the nb value may trigger merge, or not |
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185 | """ |
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186 | @pytest.fixture( |
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187 | scope="function", |
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188 | params=[ |
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189 | 1, |
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190 | 4000, |
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191 | 6001 |
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192 | ], |
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193 | ) |
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194 | def insert_count(self, request): |
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195 | yield request.param |
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196 | |||
197 | """ |
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198 | generate valid create_index params |
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199 | """ |
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200 | View Code Duplication | @pytest.fixture( |
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201 | scope="function", |
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202 | params=gen_simple_index() |
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203 | ) |
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204 | def get_simple_index(self, request, connect): |
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205 | if str(connect._cmd("mode")[1]) == "CPU": |
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206 | if request.param["index_type"] in index_cpu_not_support(): |
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207 | pytest.skip("sq8h not support in cpu mode") |
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208 | request.param.update({"metric_type": "IP"}) |
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209 | return request.param |
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210 | |||
211 | View Code Duplication | def _test_collection_count_after_index_created(self, connect, collection, get_simple_index, insert_count): |
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212 | ''' |
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213 | target: test count_entities, after index have been created |
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214 | method: add vectors in db, and create index, then calling count_entities with correct params |
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215 | expected: count_entities raise exception |
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216 | ''' |
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217 | entities = gen_entities(insert_count) |
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218 | res = connect.insert(collection, entities) |
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219 | connect.flush([collection]) |
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220 | connect.create_index(collection, field_name, get_simple_index) |
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221 | res = connect.count_entities(collection) |
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222 | assert res == insert_count |
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223 | |||
224 | |||
225 | class TestCollectionCountBinary: |
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226 | """ |
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227 | params means different nb, the nb value may trigger merge, or not |
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228 | """ |
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229 | @pytest.fixture( |
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230 | scope="function", |
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231 | params=[ |
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232 | 1, |
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233 | 4000, |
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234 | 6001 |
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235 | ], |
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236 | ) |
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237 | def insert_count(self, request): |
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238 | yield request.param |
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239 | |||
240 | View Code Duplication | @pytest.fixture( |
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241 | scope="function", |
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242 | params=gen_simple_index() |
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243 | ) |
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244 | def get_jaccard_index(self, request, connect): |
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245 | if request.param["index_type"] in binary_support(): |
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246 | request.param["metric_type"] = "JACCARD" |
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247 | return request.param |
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248 | else: |
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249 | pytest.skip("Skip index") |
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250 | |||
251 | View Code Duplication | @pytest.fixture( |
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252 | scope="function", |
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253 | params=gen_simple_index() |
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254 | ) |
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255 | def get_hamming_index(self, request, connect): |
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256 | if request.param["index_type"] in binary_support(): |
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257 | request.param["metric_type"] = "HAMMING" |
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258 | return request.param |
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259 | else: |
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260 | pytest.skip("Skip index") |
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261 | |||
262 | View Code Duplication | @pytest.fixture( |
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263 | scope="function", |
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264 | params=gen_simple_index() |
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265 | ) |
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266 | def get_substructure_index(self, request, connect): |
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267 | if request.param["index_type"] == "FLAT": |
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268 | request.param["metric_type"] = "SUBSTRUCTURE" |
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269 | return request.param |
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270 | else: |
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271 | pytest.skip("Skip index") |
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272 | |||
273 | View Code Duplication | @pytest.fixture( |
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274 | scope="function", |
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275 | params=gen_simple_index() |
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276 | ) |
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277 | def get_superstructure_index(self, request, connect): |
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278 | if request.param["index_type"] == "FLAT": |
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279 | request.param["metric_type"] = "SUPERSTRUCTURE" |
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280 | return request.param |
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281 | else: |
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282 | pytest.skip("Skip index") |
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283 | |||
284 | def test_collection_count(self, connect, binary_collection, insert_count): |
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285 | ''' |
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286 | target: test collection rows_count is correct or not |
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287 | method: create collection and add entities in it, |
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288 | assert the value returned by count_entities method is equal to length of entities |
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289 | expected: the count is equal to the length of entities |
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290 | ''' |
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291 | raw_vectors, entities = gen_binary_entities(insert_count) |
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292 | res = connect.insert(binary_collection, entities) |
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293 | logging.getLogger().info(len(res)) |
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294 | connect.flush([binary_collection]) |
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295 | res = connect.count_entities(binary_collection) |
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296 | assert res == insert_count |
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297 | |||
298 | def test_collection_count_partition(self, connect, binary_collection, insert_count): |
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299 | ''' |
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300 | target: test collection rows_count is correct or not |
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301 | method: create collection, create partition and add entities in it, |
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302 | assert the value returned by count_entities method is equal to length of entities |
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303 | expected: the count is equal to the length of entities |
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304 | ''' |
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305 | raw_vectors, entities = gen_binary_entities(insert_count) |
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306 | connect.create_partition(binary_collection, tag) |
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307 | res_ids = connect.insert(binary_collection, entities, partition_tag=tag) |
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308 | connect.flush([binary_collection]) |
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309 | res = connect.count_entities(binary_collections) |
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310 | assert res == insert_count |
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311 | |||
312 | View Code Duplication | @pytest.mark.level(2) |
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313 | def test_collection_count_multi_partitions_A(self, connect, binary_collection, insert_count): |
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314 | ''' |
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315 | target: test collection rows_count is correct or not |
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316 | method: create collection, create partitions and add entities in it, |
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317 | assert the value returned by count_entities method is equal to length of entities |
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318 | expected: the count is equal to the length of entities |
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319 | ''' |
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320 | new_tag = "new_tag" |
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321 | raw_vectors, entities = gen_binary_entities(insert_count) |
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322 | connect.create_partition(binary_collection, tag) |
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323 | connect.create_partition(binary_collection, new_tag) |
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324 | res_ids = connect.insert(binary_collection, entities) |
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325 | connect.flush([binary_collection]) |
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326 | res = connect.count_entities(binary_collection) |
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327 | assert res == insert_count |
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328 | |||
329 | View Code Duplication | @pytest.mark.level(2) |
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330 | def test_collection_count_multi_partitions_B(self, connect, binary_collection, insert_count): |
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331 | ''' |
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332 | target: test collection rows_count is correct or not |
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333 | method: create collection, create partitions and add entities in one of the partitions, |
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334 | assert the value returned by count_entities method is equal to length of entities |
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335 | expected: the count is equal to the length of entities |
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336 | ''' |
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337 | new_tag = "new_tag" |
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338 | raw_vectors, entities = gen_binary_entities(insert_count) |
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339 | connect.create_partition(binary_collection, tag) |
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340 | connect.create_partition(binary_collection, new_tag) |
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341 | res_ids = connect.insert(binary_collection, entities, partition_tag=tag) |
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342 | connect.flush([binary_collection]) |
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343 | res = connect.count_entities(binary_collection) |
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344 | assert res == insert_count |
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345 | |||
346 | def test_collection_count_multi_partitions_C(self, connect, binary_collection, insert_count): |
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347 | ''' |
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348 | target: test collection rows_count is correct or not |
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349 | method: create collection, create partitions and add entities in one of the partitions, |
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350 | assert the value returned by count_entities method is equal to length of entities |
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351 | expected: the count is equal to the length of entities |
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352 | ''' |
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353 | new_tag = "new_tag" |
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354 | raw_vectors, entities = gen_binary_entities(insert_count) |
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355 | connect.create_partition(binary_collection, tag) |
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356 | connect.create_partition(binary_collection, new_tag) |
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357 | res_ids = connect.insert(binary_collection, entities) |
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358 | res_ids_2 = connect.insert(binary_collection, entities, partition_tag=tag) |
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359 | connect.flush([binary_collection]) |
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360 | res = connect.count_entities(binary_collection) |
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361 | assert res == insert_count * 2 |
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362 | |||
363 | @pytest.mark.level(2) |
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364 | def test_collection_count_multi_partitions_D(self, connect, binary_collection, insert_count): |
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365 | ''' |
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366 | target: test collection rows_count is correct or not |
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367 | method: create collection, create partitions and add entities in one of the partitions, |
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368 | assert the value returned by count_entities method is equal to length of entities |
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369 | expected: the collection count is equal to the length of entities |
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370 | ''' |
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371 | new_tag = "new_tag" |
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372 | raw_vectors, entities = gen_binary_entities(insert_count) |
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373 | connect.create_partition(binary_collection, tag) |
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374 | connect.create_partition(binary_collection, new_tag) |
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375 | res_ids = connect.insert(binary_collection, entities, partition_tag=tag) |
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376 | res_ids2 = connect.insert(binary_collection, entities, partition_tag=new_tag) |
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377 | connect.flush([binary_collection]) |
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378 | res = connect.count_entities(binary_collection) |
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379 | assert res == insert_count * 2 |
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380 | |||
381 | def _test_collection_count_after_index_created(self, connect, binary_collection, get_jaccard_index, insert_count): |
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382 | ''' |
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383 | target: test count_entities, after index have been created |
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384 | method: add vectors in db, and create index, then calling count_entities with correct params |
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385 | expected: count_entities raise exception |
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386 | ''' |
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387 | raw_vectors, entities = gen_binary_entities(insert_count) |
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388 | res = connect.insert(binary_collection, entities) |
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389 | connect.flush([binary_collection]) |
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390 | connect.create_index(binary_collection, field_name, get_jaccard_index) |
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391 | res = connect.count_entities(binary_collection) |
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392 | assert res == insert_count |
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393 | |||
394 | def _test_collection_count_after_index_created(self, connect, binary_collection, get_hamming_index, insert_count): |
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395 | ''' |
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396 | target: test count_entities, after index have been created |
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397 | method: add vectors in db, and create index, then calling count_entities with correct params |
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398 | expected: count_entities raise exception |
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399 | ''' |
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400 | raw_vectors, entities = gen_binary_entities(insert_count) |
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401 | res = connect.insert(binary_collection, entities) |
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402 | connect.flush([binary_collection]) |
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403 | connect.create_index(binary_collection, field_name, get_hamming_index) |
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404 | res = connect.count_entities(binary_collection) |
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405 | assert res == insert_count |
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406 | |||
407 | def test_collection_count_no_entities(self, connect, binary_collection): |
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408 | ''' |
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409 | target: test collection rows_count is correct or not, if collection is empty |
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410 | method: create collection and no vectors in it, |
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411 | assert the value returned by count_entities method is equal to 0 |
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412 | expected: the count is equal to 0 |
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413 | ''' |
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414 | res = connect.count_entities(binary_collection) |
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415 | assert res == 0 |
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416 | |||
417 | |||
418 | class TestCollectionMultiCollections: |
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419 | """ |
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420 | params means different nb, the nb value may trigger merge, or not |
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421 | """ |
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422 | @pytest.fixture( |
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423 | scope="function", |
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424 | params=[ |
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425 | 1, |
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426 | 4000, |
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427 | 6001 |
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428 | ], |
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429 | ) |
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430 | def insert_count(self, request): |
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431 | yield request.param |
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432 | |||
433 | View Code Duplication | @pytest.fixture( |
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434 | scope="function", |
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435 | params=gen_simple_index() |
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436 | ) |
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437 | def get_jaccard_index(self, request, connect): |
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438 | if request.param["index_type"] in binary_support(): |
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439 | request.param["metric_type"] = "JACCARD" |
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440 | return request.param |
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441 | else: |
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442 | pytest.skip("Skip index") |
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443 | |||
444 | View Code Duplication | @pytest.fixture( |
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445 | scope="function", |
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446 | params=gen_simple_index() |
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447 | ) |
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448 | def get_hamming_index(self, request, connect): |
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449 | if request.param["index_type"] in binary_support(): |
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450 | request.param["metric_type"] = "HAMMING" |
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451 | return request.param |
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452 | else: |
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453 | pytest.skip("Skip index") |
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454 | |||
455 | View Code Duplication | @pytest.fixture( |
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456 | scope="function", |
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457 | params=gen_simple_index() |
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458 | ) |
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459 | def get_substructure_index(self, request, connect): |
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460 | if request.param["index_type"] == "FLAT": |
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461 | request.param["metric_type"] = "SUBSTRUCTURE" |
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462 | return request.param |
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463 | else: |
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464 | pytest.skip("Skip index") |
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465 | |||
466 | View Code Duplication | @pytest.fixture( |
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467 | scope="function", |
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468 | params=gen_simple_index() |
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469 | ) |
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470 | def get_superstructure_index(self, request, connect): |
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471 | if request.param["index_type"] == "FLAT": |
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472 | request.param["metric_type"] = "SUPERSTRUCTURE" |
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473 | return request.param |
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474 | else: |
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475 | pytest.skip("Skip index") |
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476 | |||
477 | def test_collection_count_multi_collections_l2(self, connect, insert_count): |
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478 | ''' |
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479 | target: test collection rows_count is correct or not with multiple collections of L2 |
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480 | method: create collection and add entities in it, |
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481 | assert the value returned by count_entities method is equal to length of entities |
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482 | expected: the count is equal to the length of entities |
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483 | ''' |
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484 | entities = gen_entities(insert_count) |
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485 | collection_list = [] |
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486 | collection_num = 20 |
||
487 | for i in range(collection_num): |
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488 | collection_name = gen_unique_str(collection_id) |
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489 | collection_list.append(collection_name) |
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490 | connect.create_collection(collection_name, default_fields) |
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491 | res = connect.insert(collection_name, entities) |
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492 | connect.flush(collection_list) |
||
493 | for i in range(collection_num): |
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494 | res = connect.count_entities(collection_list[i]) |
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495 | assert res == insert_count |
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496 | |||
497 | # TODO: |
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498 | def _test_collection_count_multi_collections_binary(self, connect, binary_collection, insert_count): |
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499 | ''' |
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500 | target: test collection rows_count is correct or not with multiple collections of JACCARD |
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501 | method: create collection and add entities in it, |
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502 | assert the value returned by count_entities method is equal to length of entities |
||
503 | expected: the count is equal to the length of entities |
||
504 | ''' |
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505 | raw_vectors, entities = gen_binary_entities(insert_count) |
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506 | res = connect.insert(binary_collection, entities) |
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507 | # logging.getLogger().info(entities) |
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508 | collection_list = [] |
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509 | collection_num = 20 |
||
510 | for i in range(collection_num): |
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511 | collection_name = gen_unique_str(collection_id) |
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512 | collection_list.append(collection_name) |
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513 | connect.create_collection(collection_name, fields) |
||
514 | res = connect.insert(collection_name, entities) |
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515 | connect.flush(collection_list) |
||
516 | for i in range(collection_num): |
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517 | res = connect.count_entities(collection_list[i]) |
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518 | assert res == insert_count |
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519 | |||
520 | # TODO: |
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521 | def _test_collection_count_multi_collections_mix(self, connect): |
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522 | ''' |
||
523 | target: test collection rows_count is correct or not with multiple collections of JACCARD |
||
524 | method: create collection and add entities in it, |
||
525 | assert the value returned by count_entities method is equal to length of entities |
||
526 | expected: the count is equal to the length of entities |
||
527 | ''' |
||
528 | collection_list = [] |
||
529 | collection_num = 20 |
||
530 | for i in range(0, int(collection_num / 2)): |
||
531 | collection_name = gen_unique_str(collection_id) |
||
532 | collection_list.append(collection_name) |
||
533 | connect.create_collection(collection_name, default_fields) |
||
534 | res = connect.insert(collection_name, entities) |
||
535 | for i in range(int(collection_num / 2), collection_num): |
||
536 | collection_name = gen_unique_str(collection_id) |
||
537 | collection_list.append(collection_name) |
||
538 | connect.create_collection(collection_name, fields) |
||
539 | res = connect.insert(collection_name, binary_entities) |
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540 | connect.flush(collection_list) |
||
541 | for i in range(collection_num): |
||
542 | res = connect.count_entities(collection_list[i]) |
||
543 | assert res == nb |
||
544 |