Mercurial > repos > shellac > guppy_basecaller

annotate env/lib/python3.7/site-packages/boto/dynamodb2/items.py @ 4:79f47841a781 draft

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"planemo upload commit 2a0fe2cc28b09e101d37293e53e82f61762262ec"
author shellac
date Thu, 14 May 2020 16:47:39 -0400
parents 26e78fe6e8c4
children
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1 from copy import deepcopy
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2
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3
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4 class NEWVALUE(object):
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5 # A marker for new data added.
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6 pass
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7
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8
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9 class Item(object):
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10 """
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11 An object representing the item data within a DynamoDB table.
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12
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13 An item is largely schema-free, meaning it can contain any data. The only
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14 limitation is that it must have data for the fields in the ``Table``'s
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15 schema.
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16
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17 This object presents a dictionary-like interface for accessing/storing
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18 data. It also tries to intelligently track how data has changed throughout
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19 the life of the instance, to be as efficient as possible about updates.
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20
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21 Empty items, or items that have no data, are considered falsey.
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22
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23 """
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24 def __init__(self, table, data=None, loaded=False):
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25 """
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26 Constructs an (unsaved) ``Item`` instance.
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27
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28 To persist the data in DynamoDB, you'll need to call the ``Item.save``
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29 (or ``Item.partial_save``) on the instance.
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30
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31 Requires a ``table`` parameter, which should be a ``Table`` instance.
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32 This is required, as DynamoDB's API is focus around all operations
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33 being table-level. It's also for persisting schema around many objects.
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34
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35 Optionally accepts a ``data`` parameter, which should be a dictionary
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36 of the fields & values of the item. Alternatively, an ``Item`` instance
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37 may be provided from which to extract the data.
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38
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39 Optionally accepts a ``loaded`` parameter, which should be a boolean.
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40 ``True`` if it was preexisting data loaded from DynamoDB, ``False`` if
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41 it's new data from the user. Default is ``False``.
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42
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43 Example::
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44
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45 >>> users = Table('users')
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46 >>> user = Item(users, data={
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47 ... 'username': 'johndoe',
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48 ... 'first_name': 'John',
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49 ... 'date_joined': 1248o61592,
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50 ... })
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51
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52 # Change existing data.
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53 >>> user['first_name'] = 'Johann'
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54 # Add more data.
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55 >>> user['last_name'] = 'Doe'
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56 # Delete data.
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57 >>> del user['date_joined']
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58
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59 # Iterate over all the data.
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60 >>> for field, val in user.items():
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61 ... print "%s: %s" % (field, val)
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62 username: johndoe
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63 first_name: John
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64 date_joined: 1248o61592
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65
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66 """
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67 self.table = table
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68 self._loaded = loaded
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69 self._orig_data = {}
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70 self._data = data
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71 self._dynamizer = table._dynamizer
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72
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73 if isinstance(self._data, Item):
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74 self._data = self._data._data
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75 if self._data is None:
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76 self._data = {}
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77
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78 if self._loaded:
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79 self._orig_data = deepcopy(self._data)
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80
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81 def __getitem__(self, key):
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82 return self._data.get(key, None)
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83
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84 def __setitem__(self, key, value):
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85 self._data[key] = value
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86
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87 def __delitem__(self, key):
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88 if not key in self._data:
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89 return
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90
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91 del self._data[key]
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92
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93 def keys(self):
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94 return self._data.keys()
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95
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96 def values(self):
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97 return self._data.values()
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98
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99 def items(self):
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100 return self._data.items()
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101
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102 def get(self, key, default=None):
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103 return self._data.get(key, default)
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104
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105 def __iter__(self):
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106 for key in self._data:
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107 yield self._data[key]
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108
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109 def __contains__(self, key):
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110 return key in self._data
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111
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112 def __bool__(self):
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113 return bool(self._data)
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114
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115 __nonzero__ = __bool__
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116
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117 def _determine_alterations(self):
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118 """
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119 Checks the ``-orig_data`` against the ``_data`` to determine what
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120 changes to the data are present.
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121
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122 Returns a dictionary containing the keys ``adds``, ``changes`` &
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123 ``deletes``, containing the updated data.
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124 """
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125 alterations = {
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126 'adds': {},
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127 'changes': {},
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128 'deletes': [],
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129 }
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130
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131 orig_keys = set(self._orig_data.keys())
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132 data_keys = set(self._data.keys())
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133
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134 # Run through keys we know are in both for changes.
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135 for key in orig_keys.intersection(data_keys):
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136 if self._data[key] != self._orig_data[key]:
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137 if self._is_storable(self._data[key]):
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138 alterations['changes'][key] = self._data[key]
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139 else:
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140 alterations['deletes'].append(key)
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141
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142 # Run through additions.
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143 for key in data_keys.difference(orig_keys):
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144 if self._is_storable(self._data[key]):
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145 alterations['adds'][key] = self._data[key]
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146
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147 # Run through deletions.
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148 for key in orig_keys.difference(data_keys):
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149 alterations['deletes'].append(key)
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150
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151 return alterations
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152
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153 def needs_save(self, data=None):
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154 """
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155 Returns whether or not the data has changed on the ``Item``.
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156
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157 Optionally accepts a ``data`` argument, which accepts the output from
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158 ``self._determine_alterations()`` if you've already called it. Typically
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159 unnecessary to do. Default is ``None``.
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160
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161 Example:
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162
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163 >>> user.needs_save()
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164 False
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165 >>> user['first_name'] = 'Johann'
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166 >>> user.needs_save()
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167 True
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168
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169 """
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170 if data is None:
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171 data = self._determine_alterations()
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172
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173 needs_save = False
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174
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175 for kind in ['adds', 'changes', 'deletes']:
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176 if len(data[kind]):
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177 needs_save = True
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178 break
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179
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180 return needs_save
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181
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182 def mark_clean(self):
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183 """
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184 Marks an ``Item`` instance as no longer needing to be saved.
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185
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186 Example:
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187
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188 >>> user.needs_save()
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189 False
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190 >>> user['first_name'] = 'Johann'
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191 >>> user.needs_save()
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192 True
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193 >>> user.mark_clean()
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194 >>> user.needs_save()
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195 False
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196
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197 """
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198 self._orig_data = deepcopy(self._data)
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199
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200 def mark_dirty(self):
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201 """
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202 DEPRECATED: Marks an ``Item`` instance as needing to be saved.
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203
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204 This method is no longer necessary, as the state tracking on ``Item``
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205 has been improved to automatically detect proper state.
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206 """
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207 return
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208
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209 def load(self, data):
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210 """
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211 This is only useful when being handed raw data from DynamoDB directly.
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212 If you have a Python datastructure already, use the ``__init__`` or
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213 manually set the data instead.
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214
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215 Largely internal, unless you know what you're doing or are trying to
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216 mix the low-level & high-level APIs.
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217 """
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218 self._data = {}
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219
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220 for field_name, field_value in data.get('Item', {}).items():
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221 self[field_name] = self._dynamizer.decode(field_value)
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222
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223 self._loaded = True
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224 self._orig_data = deepcopy(self._data)
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225
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226 def get_keys(self):
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227 """
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228 Returns a Python-style dict of the keys/values.
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229
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230 Largely internal.
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231 """
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232 key_fields = self.table.get_key_fields()
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233 key_data = {}
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234
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235 for key in key_fields:
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236 key_data[key] = self[key]
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237
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238 return key_data
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239
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240 def get_raw_keys(self):
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241 """
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242 Returns a DynamoDB-style dict of the keys/values.
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243
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244 Largely internal.
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245 """
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246 raw_key_data = {}
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247
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248 for key, value in self.get_keys().items():
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249 raw_key_data[key] = self._dynamizer.encode(value)
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250
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251 return raw_key_data
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252
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253 def build_expects(self, fields=None):
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254 """
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255 Builds up a list of expecations to hand off to DynamoDB on save.
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256
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257 Largely internal.
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258 """
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259 expects = {}
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260
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261 if fields is None:
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262 fields = list(self._data.keys()) + list(self._orig_data.keys())
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263
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264 # Only uniques.
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265 fields = set(fields)
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266
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267 for key in fields:
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268 expects[key] = {
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269 'Exists': True,
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270 }
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271 value = None
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272
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273 # Check for invalid keys.
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274 if not key in self._orig_data and not key in self._data:
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275 raise ValueError("Unknown key %s provided." % key)
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276
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277 # States:
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278 # * New field (only in _data)
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279 # * Unchanged field (in both _data & _orig_data, same data)
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280 # * Modified field (in both _data & _orig_data, different data)
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281 # * Deleted field (only in _orig_data)
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282 orig_value = self._orig_data.get(key, NEWVALUE)
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283 current_value = self._data.get(key, NEWVALUE)
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284
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285 if orig_value == current_value:
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286 # Existing field unchanged.
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287 value = current_value
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288 else:
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289 if key in self._data:
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290 if not key in self._orig_data:
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291 # New field.
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292 expects[key]['Exists'] = False
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293 else:
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294 # Existing field modified.
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295 value = orig_value
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296 else:
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297 # Existing field deleted.
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298 value = orig_value
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299
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300 if value is not None:
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301 expects[key]['Value'] = self._dynamizer.encode(value)
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302
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303 return expects
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304
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305 def _is_storable(self, value):
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306 # We need to prevent ``None``, empty string & empty set from
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307 # heading to DDB, but allow false-y values like 0 & False make it.
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308 if not value:
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309 if not value in (0, 0.0, False):
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310 return False
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311
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312 return True
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313
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314 def prepare_full(self):
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315 """
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316 Runs through all fields & encodes them to be handed off to DynamoDB
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317 as part of an ``save`` (``put_item``) call.
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318
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319 Largely internal.
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320 """
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321 # This doesn't save on its own. Rather, we prepare the datastructure
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322 # and hand-off to the table to handle creation/update.
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323 final_data = {}
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324
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325 for key, value in self._data.items():
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326 if not self._is_storable(value):
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327 continue
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328
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329 final_data[key] = self._dynamizer.encode(value)
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330
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331 return final_data
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332
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333 def prepare_partial(self):
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334 """
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335 Runs through **ONLY** the changed/deleted fields & encodes them to be
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336 handed off to DynamoDB as part of an ``partial_save`` (``update_item``)
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337 call.
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338
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339 Largely internal.
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340 """
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341 # This doesn't save on its own. Rather, we prepare the datastructure
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342 # and hand-off to the table to handle creation/update.
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343 final_data = {}
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344 fields = set()
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345 alterations = self._determine_alterations()
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346
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347 for key, value in alterations['adds'].items():
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348 final_data[key] = {
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349 'Action': 'PUT',
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350 'Value': self._dynamizer.encode(self._data[key])
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351 }
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352 fields.add(key)
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353
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354 for key, value in alterations['changes'].items():
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355 final_data[key] = {
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356 'Action': 'PUT',
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357 'Value': self._dynamizer.encode(self._data[key])
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358 }
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359 fields.add(key)
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360
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361 for key in alterations['deletes']:
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362 final_data[key] = {
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363 'Action': 'DELETE',
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364 }
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365 fields.add(key)
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366
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367 return final_data, fields
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368
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369 def partial_save(self):
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370 """
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371 Saves only the changed data to DynamoDB.
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372
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373 Extremely useful for high-volume/high-write data sets, this allows
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374 you to update only a handful of fields rather than having to push
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375 entire items. This prevents many accidental overwrite situations as
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376 well as saves on the amount of data to transfer over the wire.
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377
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378 Returns ``True`` on success, ``False`` if no save was performed or
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379 the write failed.
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380
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381 Example::
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382
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383 >>> user['last_name'] = 'Doh!'
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384 # Only the last name field will be sent to DynamoDB.
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385 >>> user.partial_save()
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386
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387 """
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388 key = self.get_keys()
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389 # Build a new dict of only the data we're changing.
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390 final_data, fields = self.prepare_partial()
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391
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392 if not final_data:
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393 return False
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394
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395 # Remove the key(s) from the ``final_data`` if present.
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396 # They should only be present if this is a new item, in which
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397 # case we shouldn't be sending as part of the data to update.
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398 for fieldname, value in key.items():
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399 if fieldname in final_data:
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400 del final_data[fieldname]
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401
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402 try:
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403 # It's likely also in ``fields``, so remove it there too.
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404 fields.remove(fieldname)
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405 except KeyError:
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406 pass
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407
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408 # Build expectations of only the fields we're planning to update.
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409 expects = self.build_expects(fields=fields)
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410 returned = self.table._update_item(key, final_data, expects=expects)
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411 # Mark the object as clean.
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412 self.mark_clean()
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413 return returned
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414
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415 def save(self, overwrite=False):
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416 """
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417 Saves all data to DynamoDB.
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418
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419 By default, this attempts to ensure that none of the underlying
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420 data has changed. If any fields have changed in between when the
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421 ``Item`` was constructed & when it is saved, this call will fail so
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422 as not to cause any data loss.
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423
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424 If you're sure possibly overwriting data is acceptable, you can pass
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425 an ``overwrite=True``. If that's not acceptable, you may be able to use
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426 ``Item.partial_save`` to only write the changed field data.
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427
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428 Optionally accepts an ``overwrite`` parameter, which should be a
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429 boolean. If you provide ``True``, the item will be forcibly overwritten
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430 within DynamoDB, even if another process changed the data in the
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431 meantime. (Default: ``False``)
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432
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433 Returns ``True`` on success, ``False`` if no save was performed.
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434
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435 Example::
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436
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437 >>> user['last_name'] = 'Doh!'
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438 # All data on the Item is sent to DynamoDB.
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439 >>> user.save()
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440
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441 # If it fails, you can overwrite.
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442 >>> user.save(overwrite=True)
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443
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444 """
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445 if not self.needs_save() and not overwrite:
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446 return False
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447
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448 final_data = self.prepare_full()
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449 expects = None
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450
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451 if overwrite is False:
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452 # Build expectations about *all* of the data.
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453 expects = self.build_expects()
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454
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455 returned = self.table._put_item(final_data, expects=expects)
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456 # Mark the object as clean.
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457 self.mark_clean()
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458 return returned
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459
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460 def delete(self):
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461 """
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462 Deletes the item's data to DynamoDB.
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463
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464 Returns ``True`` on success.
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465
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466 Example::
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467
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468 # Buh-bye now.
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469 >>> user.delete()
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470
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471 """
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472 key_data = self.get_keys()
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473 return self.table.delete_item(**key_data)