Mercurial > repos > guerler > springsuite
annotate planemo/lib/python3.7/site-packages/boto/cloudsearch2/search.py @ 1:56ad4e20f292 draft
"planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
author | guerler |
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date | Fri, 31 Jul 2020 00:32:28 -0400 |
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1 # Copyright (c) 2014 Amazon.com, Inc. or its affiliates. |
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2 # All Rights Reserved |
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3 # |
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4 # Permission is hereby granted, free of charge, to any person obtaining a |
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5 # copy of this software and associated documentation files (the |
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6 # "Software"), to deal in the Software without restriction, including |
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7 # without limitation the rights to use, copy, modify, merge, publish, dis- |
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8 # tribute, sublicense, and/or sell copies of the Software, and to permit |
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9 # persons to whom the Software is furnished to do so, subject to the fol- |
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10 # lowing conditions: |
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11 # |
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12 # The above copyright notice and this permission notice shall be included |
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13 # in all copies or substantial portions of the Software. |
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14 # |
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15 # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS |
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16 # OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL- |
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17 # ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT |
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18 # SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, |
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19 # WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
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20 # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS |
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21 # IN THE SOFTWARE. |
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22 # |
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23 from math import ceil |
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24 from boto.compat import json, map, six |
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25 import requests |
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26 from boto.cloudsearchdomain.layer1 import CloudSearchDomainConnection |
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27 |
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28 SIMPLE = 'simple' |
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29 STRUCTURED = 'structured' |
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30 LUCENE = 'lucene' |
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31 DISMAX = 'dismax' |
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32 |
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33 |
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34 class SearchServiceException(Exception): |
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35 pass |
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36 |
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37 |
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38 class SearchResults(object): |
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39 def __init__(self, **attrs): |
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40 self.rid = attrs['status']['rid'] |
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41 self.time_ms = attrs['status']['time-ms'] |
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42 self.hits = attrs['hits']['found'] |
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43 self.docs = attrs['hits']['hit'] |
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44 self.start = attrs['hits']['start'] |
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45 self.query = attrs['query'] |
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46 self.search_service = attrs['search_service'] |
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47 |
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48 self.facets = {} |
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49 if 'facets' in attrs: |
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50 for (facet, values) in attrs['facets'].items(): |
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51 if 'buckets' in values: |
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52 self.facets[facet] = dict((k, v) for (k, v) in map(lambda x: (x['value'], x['count']), values.get('buckets', []))) |
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53 |
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54 self.num_pages_needed = ceil(self.hits / self.query.real_size) |
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55 |
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56 def __len__(self): |
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57 return len(self.docs) |
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58 |
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59 def __iter__(self): |
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60 return iter(self.docs) |
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61 |
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62 def next_page(self): |
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63 """Call Cloudsearch to get the next page of search results |
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64 |
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65 :rtype: :class:`boto.cloudsearch2.search.SearchResults` |
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66 :return: the following page of search results |
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67 """ |
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68 if self.query.page <= self.num_pages_needed: |
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69 self.query.start += self.query.real_size |
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70 self.query.page += 1 |
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71 return self.search_service(self.query) |
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72 else: |
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73 raise StopIteration |
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74 |
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75 |
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76 class Query(object): |
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77 |
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78 RESULTS_PER_PAGE = 500 |
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79 |
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80 def __init__(self, q=None, parser=None, fq=None, expr=None, |
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81 return_fields=None, size=10, start=0, sort=None, |
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82 facet=None, highlight=None, partial=None, options=None): |
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83 |
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84 self.q = q |
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85 self.parser = parser |
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86 self.fq = fq |
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87 self.expr = expr or {} |
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88 self.sort = sort or [] |
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89 self.return_fields = return_fields or [] |
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90 self.start = start |
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91 self.facet = facet or {} |
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92 self.highlight = highlight or {} |
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93 self.partial = partial |
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94 self.options = options |
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95 self.page = 0 |
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96 self.update_size(size) |
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97 |
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98 def update_size(self, new_size): |
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99 self.size = new_size |
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100 self.real_size = Query.RESULTS_PER_PAGE if (self.size > |
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101 Query.RESULTS_PER_PAGE or self.size == 0) else self.size |
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102 |
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103 def to_params(self): |
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104 """Transform search parameters from instance properties to a dictionary |
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105 |
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106 :rtype: dict |
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107 :return: search parameters |
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108 """ |
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109 params = {'start': self.start, 'size': self.real_size} |
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110 |
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111 if self.q: |
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112 params['q'] = self.q |
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113 |
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114 if self.parser: |
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115 params['q.parser'] = self.parser |
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116 |
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117 if self.fq: |
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118 params['fq'] = self.fq |
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119 |
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120 if self.expr: |
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121 for k, v in six.iteritems(self.expr): |
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122 params['expr.%s' % k] = v |
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123 |
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124 if self.facet: |
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125 for k, v in six.iteritems(self.facet): |
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126 if not isinstance(v, six.string_types): |
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127 v = json.dumps(v) |
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128 params['facet.%s' % k] = v |
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129 |
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130 if self.highlight: |
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131 for k, v in six.iteritems(self.highlight): |
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132 params['highlight.%s' % k] = v |
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133 |
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134 if self.options: |
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135 params['q.options'] = self.options |
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136 |
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137 if self.return_fields: |
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138 params['return'] = ','.join(self.return_fields) |
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139 |
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140 if self.partial is not None: |
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141 params['partial'] = self.partial |
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142 |
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143 if self.sort: |
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144 params['sort'] = ','.join(self.sort) |
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145 |
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146 return params |
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147 |
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148 def to_domain_connection_params(self): |
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149 """ |
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150 Transform search parameters from instance properties to a dictionary |
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151 that CloudSearchDomainConnection can accept |
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152 |
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153 :rtype: dict |
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154 :return: search parameters |
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155 """ |
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156 params = {'start': self.start, 'size': self.real_size} |
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157 |
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158 if self.q: |
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159 params['q'] = self.q |
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160 |
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161 if self.parser: |
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162 params['query_parser'] = self.parser |
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163 |
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164 if self.fq: |
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165 params['filter_query'] = self.fq |
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166 |
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167 if self.expr: |
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168 expr = {} |
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169 for k, v in six.iteritems(self.expr): |
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170 expr['expr.%s' % k] = v |
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171 |
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172 params['expr'] = expr |
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173 |
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174 if self.facet: |
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175 facet = {} |
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176 for k, v in six.iteritems(self.facet): |
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177 if not isinstance(v, six.string_types): |
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178 v = json.dumps(v) |
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179 facet['facet.%s' % k] = v |
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180 |
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181 params['facet'] = facet |
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182 |
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183 if self.highlight: |
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184 highlight = {} |
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185 for k, v in six.iteritems(self.highlight): |
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186 highlight['highlight.%s' % k] = v |
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187 |
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188 params['highlight'] = highlight |
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189 |
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190 if self.options: |
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191 params['query_options'] = self.options |
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192 |
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193 if self.return_fields: |
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194 params['ret'] = ','.join(self.return_fields) |
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195 |
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196 if self.partial is not None: |
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197 params['partial'] = self.partial |
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198 |
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199 if self.sort: |
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200 params['sort'] = ','.join(self.sort) |
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201 |
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202 return params |
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203 |
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204 |
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205 class SearchConnection(object): |
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206 |
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207 def __init__(self, domain=None, endpoint=None): |
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208 self.domain = domain |
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209 self.endpoint = endpoint |
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210 self.session = requests.Session() |
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211 |
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212 # Endpoint needs to be set before initializing CloudSearchDomainConnection |
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213 if not endpoint: |
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214 self.endpoint = domain.search_service_endpoint |
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215 |
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216 # Copy proxy settings from connection and check if request should be signed |
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217 self.sign_request = False |
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218 if self.domain and self.domain.layer1: |
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219 if self.domain.layer1.use_proxy: |
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220 self.session.proxies['http'] = self.domain.layer1.get_proxy_url_with_auth() |
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221 |
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222 self.sign_request = getattr(self.domain.layer1, 'sign_request', False) |
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223 |
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224 if self.sign_request: |
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225 layer1 = self.domain.layer1 |
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226 self.domain_connection = CloudSearchDomainConnection( |
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227 host=self.endpoint, |
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228 aws_access_key_id=layer1.aws_access_key_id, |
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229 aws_secret_access_key=layer1.aws_secret_access_key, |
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230 region=layer1.region, |
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231 provider=layer1.provider |
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232 ) |
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233 |
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234 def build_query(self, q=None, parser=None, fq=None, rank=None, return_fields=None, |
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235 size=10, start=0, facet=None, highlight=None, sort=None, |
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236 partial=None, options=None): |
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237 return Query(q=q, parser=parser, fq=fq, expr=rank, return_fields=return_fields, |
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238 size=size, start=start, facet=facet, highlight=highlight, |
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239 sort=sort, partial=partial, options=options) |
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240 |
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241 def search(self, q=None, parser=None, fq=None, rank=None, return_fields=None, |
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242 size=10, start=0, facet=None, highlight=None, sort=None, partial=None, |
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243 options=None): |
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244 """ |
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245 Send a query to CloudSearch |
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246 |
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247 Each search query should use at least the q or bq argument to specify |
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248 the search parameter. The other options are used to specify the |
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249 criteria of the search. |
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250 |
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251 :type q: string |
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252 :param q: A string to search the default search fields for. |
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253 |
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254 :type parser: string |
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255 :param parser: The parser to use. 'simple', 'structured', 'lucene', 'dismax' |
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256 |
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257 :type fq: string |
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258 :param fq: The filter query to use. |
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259 |
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260 :type sort: List of strings |
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261 :param sort: A list of fields or rank expressions used to order the |
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262 search results. Order is handled by adding 'desc' or 'asc' after the field name. |
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263 ``['year desc', 'author asc']`` |
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264 |
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265 :type return_fields: List of strings |
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266 :param return_fields: A list of fields which should be returned by the |
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267 search. If this field is not specified, only IDs will be returned. |
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268 ``['headline']`` |
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269 |
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270 :type size: int |
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271 :param size: Number of search results to specify |
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272 |
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273 :type start: int |
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274 :param start: Offset of the first search result to return (can be used |
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275 for paging) |
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276 |
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277 :type facet: dict |
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278 :param facet: Dictionary of fields for which facets should be returned |
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279 The facet value is string of JSON options |
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280 ``{'year': '{sort:"bucket", size:3}', 'genres': '{buckets:["Action","Adventure","Sci-Fi"]}'}`` |
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281 |
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282 :type highlight: dict |
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283 :param highlight: Dictionary of fields for which highlights should be returned |
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284 The facet value is string of JSON options |
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285 ``{'genres': '{format:'text',max_phrases:2,pre_tag:'<b>',post_tag:'</b>'}'}`` |
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286 |
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287 :type partial: bool |
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288 :param partial: Should partial results from a partioned service be returned if |
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289 one or more index partitions are unreachable. |
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290 |
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291 :type options: str |
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292 :param options: Options for the query parser specified in *parser*. |
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293 Specified as a string in JSON format. |
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294 ``{fields: ['title^5', 'description']}`` |
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295 |
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296 :rtype: :class:`boto.cloudsearch2.search.SearchResults` |
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297 :return: Returns the results of this search |
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298 |
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299 The following examples all assume we have indexed a set of documents |
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300 with fields: *author*, *date*, *headline* |
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301 |
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302 A simple search will look for documents whose default text search |
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303 fields will contain the search word exactly: |
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304 |
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305 >>> search(q='Tim') # Return documents with the word Tim in them (but not Timothy) |
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306 |
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307 A simple search with more keywords will return documents whose default |
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308 text search fields contain the search strings together or separately. |
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309 |
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310 >>> search(q='Tim apple') # Will match "tim" and "apple" |
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311 |
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312 More complex searches require the boolean search operator. |
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313 |
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314 Wildcard searches can be used to search for any words that start with |
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315 the search string. |
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316 |
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317 >>> search(q="'Tim*'") # Return documents with words like Tim or Timothy) |
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318 |
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319 Search terms can also be combined. Allowed operators are "and", "or", |
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320 "not", "field", "optional", "token", "phrase", or "filter" |
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321 |
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322 >>> search(q="(and 'Tim' (field author 'John Smith'))", parser='structured') |
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323 |
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324 Facets allow you to show classification information about the search |
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325 results. For example, you can retrieve the authors who have written |
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326 about Tim with a max of 3 |
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327 |
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328 >>> search(q='Tim', facet={'Author': '{sort:"bucket", size:3}'}) |
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329 """ |
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330 |
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331 query = self.build_query(q=q, parser=parser, fq=fq, rank=rank, |
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332 return_fields=return_fields, |
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333 size=size, start=start, facet=facet, |
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334 highlight=highlight, sort=sort, |
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335 partial=partial, options=options) |
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336 return self(query) |
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337 |
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338 def _search_with_auth(self, params): |
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339 return self.domain_connection.search(params.pop("q", ""), **params) |
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340 |
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341 def _search_without_auth(self, params, api_version): |
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342 url = "http://%s/%s/search" % (self.endpoint, api_version) |
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343 resp = self.session.get(url, params=params) |
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344 |
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345 return {'body': resp.content.decode('utf-8'), 'status_code': resp.status_code} |
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346 |
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347 def __call__(self, query): |
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348 """Make a call to CloudSearch |
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349 |
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350 :type query: :class:`boto.cloudsearch2.search.Query` |
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351 :param query: A group of search criteria |
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352 |
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353 :rtype: :class:`boto.cloudsearch2.search.SearchResults` |
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354 :return: search results |
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355 """ |
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356 api_version = '2013-01-01' |
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357 if self.domain and self.domain.layer1: |
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358 api_version = self.domain.layer1.APIVersion |
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359 |
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360 if self.sign_request: |
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361 data = self._search_with_auth(query.to_domain_connection_params()) |
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362 else: |
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363 r = self._search_without_auth(query.to_params(), api_version) |
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364 |
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365 _body = r['body'] |
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366 _status_code = r['status_code'] |
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367 |
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368 try: |
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369 data = json.loads(_body) |
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370 except ValueError: |
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371 if _status_code == 403: |
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372 msg = '' |
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373 import re |
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374 g = re.search('<html><body><h1>403 Forbidden</h1>([^<]+)<', _body) |
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375 try: |
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376 msg = ': %s' % (g.groups()[0].strip()) |
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377 except AttributeError: |
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378 pass |
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379 raise SearchServiceException('Authentication error from Amazon%s' % msg) |
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380 raise SearchServiceException("Got non-json response from Amazon. %s" % _body, query) |
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381 |
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382 if 'messages' in data and 'error' in data: |
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383 for m in data['messages']: |
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384 if m['severity'] == 'fatal': |
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385 raise SearchServiceException("Error processing search %s " |
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386 "=> %s" % (params, m['message']), query) |
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387 elif 'error' in data: |
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388 raise SearchServiceException("Unknown error processing search %s" |
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389 % json.dumps(data), query) |
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390 |
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391 data['query'] = query |
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392 data['search_service'] = self |
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393 |
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394 return SearchResults(**data) |
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395 |
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396 def get_all_paged(self, query, per_page): |
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397 """Get a generator to iterate over all pages of search results |
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398 |
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399 :type query: :class:`boto.cloudsearch2.search.Query` |
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400 :param query: A group of search criteria |
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401 |
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402 :type per_page: int |
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403 :param per_page: Number of docs in each :class:`boto.cloudsearch2.search.SearchResults` object. |
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404 |
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405 :rtype: generator |
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406 :return: Generator containing :class:`boto.cloudsearch2.search.SearchResults` |
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407 """ |
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408 query.update_size(per_page) |
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409 page = 0 |
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410 num_pages_needed = 0 |
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411 while page <= num_pages_needed: |
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412 results = self(query) |
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413 num_pages_needed = results.num_pages_needed |
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414 yield results |
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415 query.start += query.real_size |
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416 page += 1 |
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417 |
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418 def get_all_hits(self, query): |
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419 """Get a generator to iterate over all search results |
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420 |
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421 Transparently handles the results paging from Cloudsearch |
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422 search results so even if you have many thousands of results |
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423 you can iterate over all results in a reasonably efficient |
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424 manner. |
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425 |
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426 :type query: :class:`boto.cloudsearch2.search.Query` |
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427 :param query: A group of search criteria |
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428 |
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429 :rtype: generator |
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430 :return: All docs matching query |
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431 """ |
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432 page = 0 |
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433 num_pages_needed = 0 |
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434 while page <= num_pages_needed: |
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435 results = self(query) |
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436 num_pages_needed = results.num_pages_needed |
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437 for doc in results: |
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438 yield doc |
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439 query.start += query.real_size |
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440 page += 1 |
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441 |
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442 def get_num_hits(self, query): |
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443 """Return the total number of hits for query |
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444 |
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445 :type query: :class:`boto.cloudsearch2.search.Query` |
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446 :param query: a group of search criteria |
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447 |
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448 :rtype: int |
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449 :return: Total number of hits for query |
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450 """ |
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451 query.update_size(1) |
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452 return self(query).hits |