Mercurial > repos > shellac > guppy_basecaller

annotate env/lib/python3.7/site-packages/boto/dynamodb2/results.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 class ResultSet(object):
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2 """
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3 A class used to lazily handle page-to-page navigation through a set of
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4 results.
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5
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6 It presents a transparent iterator interface, so that all the user has
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7 to do is use it in a typical ``for`` loop (or list comprehension, etc.)
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8 to fetch results, even if they weren't present in the current page of
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9 results.
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10
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11 This is used by the ``Table.query`` & ``Table.scan`` methods.
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12
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13 Example::
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14
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15 >>> users = Table('users')
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16 >>> results = ResultSet()
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17 >>> results.to_call(users.query, username__gte='johndoe')
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18 # Now iterate. When it runs out of results, it'll fetch the next page.
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19 >>> for res in results:
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20 ... print res['username']
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21
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22 """
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23 def __init__(self, max_page_size=None):
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24 super(ResultSet, self).__init__()
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25 self.the_callable = None
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26 self.call_args = []
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27 self.call_kwargs = {}
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28 self._results = []
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29 self._offset = -1
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30 self._results_left = True
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31 self._last_key_seen = None
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32 self._fetches = 0
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33 self._max_page_size = max_page_size
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34 self._limit = None
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35
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36 @property
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37 def first_key(self):
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38 return 'exclusive_start_key'
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39
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40 def _reset(self):
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41 """
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42 Resets the internal state of the ``ResultSet``.
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43
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44 This prevents results from being cached long-term & consuming
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45 excess memory.
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46
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47 Largely internal.
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48 """
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49 self._results = []
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50 self._offset = 0
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51
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52 def __iter__(self):
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53 return self
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54
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55 def __next__(self):
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56 self._offset += 1
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57
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58 if self._offset >= len(self._results):
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59 if self._results_left is False:
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60 raise StopIteration()
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61
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62 self.fetch_more()
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63
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64 # It's possible that previous call to ``fetch_more`` may not return
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65 # anything useful but there may be more results. Loop until we get
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66 # something back, making sure we guard for no results left.
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67 while not len(self._results) and self._results_left:
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68 self.fetch_more()
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69
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70 if self._offset < len(self._results):
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71 if self._limit is not None:
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72 self._limit -= 1
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73
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74 if self._limit < 0:
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75 raise StopIteration()
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76
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77 return self._results[self._offset]
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78 else:
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79 raise StopIteration()
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80
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81 next = __next__
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82
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83 def to_call(self, the_callable, *args, **kwargs):
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84 """
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85 Sets up the callable & any arguments to run it with.
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86
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87 This is stored for subsequent calls so that those queries can be
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88 run without requiring user intervention.
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89
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90 Example::
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91
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92 # Just an example callable.
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93 >>> def squares_to(y):
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94 ... for x in range(1, y):
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95 ... yield x**2
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96 >>> rs = ResultSet()
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97 # Set up what to call & arguments.
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98 >>> rs.to_call(squares_to, y=3)
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99
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100 """
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101 if not callable(the_callable):
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102 raise ValueError(
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103 'You must supply an object or function to be called.'
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104 )
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105
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106 # We pop the ``limit``, if present, to track how many we should return
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107 # to the user. This isn't the same as the ``limit`` that the low-level
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108 # DDB api calls use (which limit page size, not the overall result set).
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109 self._limit = kwargs.pop('limit', None)
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110
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111 if self._limit is not None and self._limit < 0:
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112 self._limit = None
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113
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114 self.the_callable = the_callable
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115 self.call_args = args
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116 self.call_kwargs = kwargs
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117
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118 def fetch_more(self):
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119 """
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120 When the iterator runs out of results, this method is run to re-execute
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121 the callable (& arguments) to fetch the next page.
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122
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123 Largely internal.
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124 """
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125 self._reset()
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126
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127 args = self.call_args[:]
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128 kwargs = self.call_kwargs.copy()
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129
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130 if self._last_key_seen is not None:
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131 kwargs[self.first_key] = self._last_key_seen
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132
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133 # If the page size is greater than limit set them
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134 # to the same value
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135 if self._limit and self._max_page_size and self._max_page_size > self._limit:
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136 self._max_page_size = self._limit
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137
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138 # Put in the max page size.
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139 if self._max_page_size is not None:
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140 kwargs['limit'] = self._max_page_size
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141 elif self._limit is not None:
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142 # If max_page_size is not set and limit is available
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143 # use it as the page size
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144 kwargs['limit'] = self._limit
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145
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146 results = self.the_callable(*args, **kwargs)
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147 self._fetches += 1
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148 new_results = results.get('results', [])
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149 self._last_key_seen = results.get('last_key', None)
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150
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151 if len(new_results):
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152 self._results.extend(results['results'])
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153
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154 # Check the limit, if it's present.
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155 if self._limit is not None and self._limit >= 0:
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156 limit = self._limit
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157 limit -= len(results['results'])
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158 # If we've exceeded the limit, we don't have any more
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159 # results to look for.
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160 if limit <= 0:
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161 self._results_left = False
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162
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163 if self._last_key_seen is None:
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164 self._results_left = False
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165
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166
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167 class BatchGetResultSet(ResultSet):
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168 def __init__(self, *args, **kwargs):
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169 self._keys_left = kwargs.pop('keys', [])
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170 self._max_batch_get = kwargs.pop('max_batch_get', 100)
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171 super(BatchGetResultSet, self).__init__(*args, **kwargs)
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172
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173 def fetch_more(self):
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174 self._reset()
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175
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176 args = self.call_args[:]
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177 kwargs = self.call_kwargs.copy()
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178
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179 # Slice off the max we can fetch.
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180 kwargs['keys'] = self._keys_left[:self._max_batch_get]
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181 self._keys_left = self._keys_left[self._max_batch_get:]
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182
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183 if len(self._keys_left) <= 0:
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184 self._results_left = False
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185
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186 results = self.the_callable(*args, **kwargs)
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187
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188 if not len(results.get('results', [])):
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189 return
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190
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191 self._results.extend(results['results'])
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192
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193 for offset, key_data in enumerate(results.get('unprocessed_keys', [])):
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194 # We've got an unprocessed key. Reinsert it into the list.
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195 # DynamoDB only returns valid keys, so there should be no risk of
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196 # missing keys ever making it here.
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197 self._keys_left.insert(offset, key_data)
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198
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199 if len(self._keys_left) > 0:
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200 self._results_left = True
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201
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202 # Decrease the limit, if it's present.
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203 if self.call_kwargs.get('limit'):
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204 self.call_kwargs['limit'] -= len(results['results'])