Mercurial > repos > guerler > springsuite
annotate planemo/lib/python3.7/site-packages/boto/dynamodb2/fields.py @ 0:d30785e31577 draft
"planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
author | guerler |
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date | Fri, 31 Jul 2020 00:18:57 -0400 |
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1 from boto.dynamodb2.types import STRING |
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2 |
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3 |
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4 class BaseSchemaField(object): |
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5 """ |
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6 An abstract class for defining schema fields. |
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7 |
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8 Contains most of the core functionality for the field. Subclasses must |
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9 define an ``attr_type`` to pass to DynamoDB. |
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10 """ |
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11 attr_type = None |
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12 |
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13 def __init__(self, name, data_type=STRING): |
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14 """ |
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15 Creates a Python schema field, to represent the data to pass to |
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16 DynamoDB. |
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17 |
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18 Requires a ``name`` parameter, which should be a string name of the |
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19 field. |
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20 |
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21 Optionally accepts a ``data_type`` parameter, which should be a |
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22 constant from ``boto.dynamodb2.types``. (Default: ``STRING``) |
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23 """ |
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24 self.name = name |
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25 self.data_type = data_type |
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26 |
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27 def definition(self): |
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28 """ |
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29 Returns the attribute definition structure DynamoDB expects. |
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30 |
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31 Example:: |
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32 |
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33 >>> field.definition() |
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34 { |
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35 'AttributeName': 'username', |
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36 'AttributeType': 'S', |
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37 } |
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38 |
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39 """ |
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40 return { |
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41 'AttributeName': self.name, |
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42 'AttributeType': self.data_type, |
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43 } |
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44 |
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45 def schema(self): |
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46 """ |
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47 Returns the schema structure DynamoDB expects. |
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48 |
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49 Example:: |
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50 |
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51 >>> field.schema() |
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52 { |
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53 'AttributeName': 'username', |
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54 'KeyType': 'HASH', |
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55 } |
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56 |
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57 """ |
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58 return { |
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59 'AttributeName': self.name, |
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60 'KeyType': self.attr_type, |
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61 } |
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62 |
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63 |
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64 class HashKey(BaseSchemaField): |
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65 """ |
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66 An field representing a hash key. |
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67 |
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68 Example:: |
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69 |
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70 >>> from boto.dynamodb2.types import NUMBER |
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71 >>> HashKey('username') |
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72 >>> HashKey('date_joined', data_type=NUMBER) |
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73 |
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74 """ |
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75 attr_type = 'HASH' |
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76 |
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77 |
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78 class RangeKey(BaseSchemaField): |
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79 """ |
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80 An field representing a range key. |
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81 |
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82 Example:: |
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83 |
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84 >>> from boto.dynamodb2.types import NUMBER |
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85 >>> HashKey('username') |
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86 >>> HashKey('date_joined', data_type=NUMBER) |
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87 |
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88 """ |
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89 attr_type = 'RANGE' |
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90 |
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91 |
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92 class BaseIndexField(object): |
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93 """ |
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94 An abstract class for defining schema indexes. |
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95 |
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96 Contains most of the core functionality for the index. Subclasses must |
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97 define a ``projection_type`` to pass to DynamoDB. |
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98 """ |
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99 def __init__(self, name, parts): |
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100 self.name = name |
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101 self.parts = parts |
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102 |
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103 def definition(self): |
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104 """ |
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105 Returns the attribute definition structure DynamoDB expects. |
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106 |
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107 Example:: |
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108 |
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109 >>> index.definition() |
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110 { |
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111 'AttributeName': 'username', |
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112 'AttributeType': 'S', |
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113 } |
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114 |
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115 """ |
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116 definition = [] |
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117 |
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118 for part in self.parts: |
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119 definition.append({ |
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120 'AttributeName': part.name, |
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121 'AttributeType': part.data_type, |
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122 }) |
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123 |
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124 return definition |
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125 |
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126 def schema(self): |
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127 """ |
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128 Returns the schema structure DynamoDB expects. |
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129 |
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130 Example:: |
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131 |
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132 >>> index.schema() |
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133 { |
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134 'IndexName': 'LastNameIndex', |
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135 'KeySchema': [ |
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136 { |
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137 'AttributeName': 'username', |
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138 'KeyType': 'HASH', |
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139 }, |
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140 ], |
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141 'Projection': { |
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142 'ProjectionType': 'KEYS_ONLY', |
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143 } |
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144 } |
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145 |
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146 """ |
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147 key_schema = [] |
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148 |
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149 for part in self.parts: |
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150 key_schema.append(part.schema()) |
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151 |
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152 return { |
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153 'IndexName': self.name, |
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154 'KeySchema': key_schema, |
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155 'Projection': { |
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156 'ProjectionType': self.projection_type, |
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157 } |
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158 } |
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159 |
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160 |
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161 class AllIndex(BaseIndexField): |
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162 """ |
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163 An index signifying all fields should be in the index. |
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164 |
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165 Example:: |
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166 |
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167 >>> AllIndex('MostRecentlyJoined', parts=[ |
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168 ... HashKey('username'), |
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169 ... RangeKey('date_joined') |
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170 ... ]) |
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171 |
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172 """ |
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173 projection_type = 'ALL' |
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174 |
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175 |
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176 class KeysOnlyIndex(BaseIndexField): |
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177 """ |
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178 An index signifying only key fields should be in the index. |
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179 |
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180 Example:: |
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181 |
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182 >>> KeysOnlyIndex('MostRecentlyJoined', parts=[ |
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183 ... HashKey('username'), |
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184 ... RangeKey('date_joined') |
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185 ... ]) |
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186 |
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187 """ |
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188 projection_type = 'KEYS_ONLY' |
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189 |
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190 |
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191 class IncludeIndex(BaseIndexField): |
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192 """ |
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193 An index signifying only certain fields should be in the index. |
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194 |
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195 Example:: |
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196 |
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197 >>> IncludeIndex('GenderIndex', parts=[ |
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198 ... HashKey('username'), |
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199 ... RangeKey('date_joined') |
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200 ... ], includes=['gender']) |
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201 |
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202 """ |
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203 projection_type = 'INCLUDE' |
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204 |
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205 def __init__(self, *args, **kwargs): |
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206 self.includes_fields = kwargs.pop('includes', []) |
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207 super(IncludeIndex, self).__init__(*args, **kwargs) |
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208 |
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209 def schema(self): |
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210 schema_data = super(IncludeIndex, self).schema() |
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211 schema_data['Projection']['NonKeyAttributes'] = self.includes_fields |
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212 return schema_data |
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213 |
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214 |
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215 class GlobalBaseIndexField(BaseIndexField): |
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216 """ |
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217 An abstract class for defining global indexes. |
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218 |
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219 Contains most of the core functionality for the index. Subclasses must |
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220 define a ``projection_type`` to pass to DynamoDB. |
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221 """ |
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222 throughput = { |
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223 'read': 5, |
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224 'write': 5, |
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225 } |
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226 |
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227 def __init__(self, *args, **kwargs): |
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228 throughput = kwargs.pop('throughput', None) |
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229 |
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230 if throughput is not None: |
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231 self.throughput = throughput |
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232 |
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233 super(GlobalBaseIndexField, self).__init__(*args, **kwargs) |
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234 |
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235 def schema(self): |
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236 """ |
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237 Returns the schema structure DynamoDB expects. |
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238 |
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239 Example:: |
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240 |
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241 >>> index.schema() |
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242 { |
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243 'IndexName': 'LastNameIndex', |
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244 'KeySchema': [ |
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245 { |
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246 'AttributeName': 'username', |
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247 'KeyType': 'HASH', |
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248 }, |
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249 ], |
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250 'Projection': { |
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251 'ProjectionType': 'KEYS_ONLY', |
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252 }, |
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253 'ProvisionedThroughput': { |
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254 'ReadCapacityUnits': 5, |
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255 'WriteCapacityUnits': 5 |
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256 } |
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257 } |
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258 |
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259 """ |
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260 schema_data = super(GlobalBaseIndexField, self).schema() |
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261 schema_data['ProvisionedThroughput'] = { |
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262 'ReadCapacityUnits': int(self.throughput['read']), |
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263 'WriteCapacityUnits': int(self.throughput['write']), |
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264 } |
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265 return schema_data |
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266 |
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267 |
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268 class GlobalAllIndex(GlobalBaseIndexField): |
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269 """ |
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270 An index signifying all fields should be in the index. |
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271 |
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272 Example:: |
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273 |
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274 >>> GlobalAllIndex('MostRecentlyJoined', parts=[ |
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275 ... HashKey('username'), |
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276 ... RangeKey('date_joined') |
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277 ... ], |
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278 ... throughput={ |
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279 ... 'read': 2, |
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280 ... 'write': 1, |
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281 ... }) |
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282 |
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283 """ |
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284 projection_type = 'ALL' |
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285 |
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286 |
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287 class GlobalKeysOnlyIndex(GlobalBaseIndexField): |
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288 """ |
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289 An index signifying only key fields should be in the index. |
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290 |
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291 Example:: |
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292 |
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293 >>> GlobalKeysOnlyIndex('MostRecentlyJoined', parts=[ |
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294 ... HashKey('username'), |
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295 ... RangeKey('date_joined') |
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296 ... ], |
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297 ... throughput={ |
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298 ... 'read': 2, |
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299 ... 'write': 1, |
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300 ... }) |
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301 |
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302 """ |
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303 projection_type = 'KEYS_ONLY' |
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304 |
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305 |
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306 class GlobalIncludeIndex(GlobalBaseIndexField, IncludeIndex): |
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307 """ |
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308 An index signifying only certain fields should be in the index. |
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309 |
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310 Example:: |
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311 |
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312 >>> GlobalIncludeIndex('GenderIndex', parts=[ |
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313 ... HashKey('username'), |
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314 ... RangeKey('date_joined') |
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315 ... ], |
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316 ... includes=['gender'], |
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317 ... throughput={ |
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318 ... 'read': 2, |
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319 ... 'write': 1, |
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320 ... }) |
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321 |
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322 """ |
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323 projection_type = 'INCLUDE' |
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324 |
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325 def __init__(self, *args, **kwargs): |
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326 throughput = kwargs.pop('throughput', None) |
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327 IncludeIndex.__init__(self, *args, **kwargs) |
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328 if throughput: |
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329 kwargs['throughput'] = throughput |
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330 GlobalBaseIndexField.__init__(self, *args, **kwargs) |
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331 |
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332 def schema(self): |
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333 # Pick up the includes. |
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334 schema_data = IncludeIndex.schema(self) |
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335 # Also the throughput. |
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336 schema_data.update(GlobalBaseIndexField.schema(self)) |
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337 return schema_data |