annotate env/lib/python3.7/site-packages/boto/cloudsearchdomain/layer1.py @ 0:26e78fe6e8c4 draft

"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
author shellac
date Sat, 02 May 2020 07:14:21 -0400
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1 # Copyright (c) 2014 Amazon.com, Inc. or its affiliates. All Rights Reserved
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2 #
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3 # Permission is hereby granted, free of charge, to any person obtaining a
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4 # copy of this software and associated documentation files (the
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5 # "Software"), to deal in the Software without restriction, including
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6 # without limitation the rights to use, copy, modify, merge, publish, dis-
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7 # tribute, sublicense, and/or sell copies of the Software, and to permit
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8 # persons to whom the Software is furnished to do so, subject to the fol-
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9 # lowing conditions:
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10 #
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11 # The above copyright notice and this permission notice shall be included
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12 # in all copies or substantial portions of the Software.
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13 #
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14 # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
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15 # OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL-
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16 # ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
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17 # SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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18 # WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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19 # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
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20 # IN THE SOFTWARE.
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21 #
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22 from boto.compat import json
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23 from boto.exception import JSONResponseError
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24 from boto.connection import AWSAuthConnection
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25 from boto.regioninfo import RegionInfo
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26 from boto.cloudsearchdomain import exceptions
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27
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28
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29 class CloudSearchDomainConnection(AWSAuthConnection):
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30 """
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31 You use the AmazonCloudSearch2013 API to upload documents to a
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32 search domain and search those documents.
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33
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34 The endpoints for submitting `UploadDocuments`, `Search`, and
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35 `Suggest` requests are domain-specific. To get the endpoints for
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36 your domain, use the Amazon CloudSearch configuration service
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37 `DescribeDomains` action. The domain endpoints are also displayed
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38 on the domain dashboard in the Amazon CloudSearch console. You
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39 submit suggest requests to the search endpoint.
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40
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41 For more information, see the `Amazon CloudSearch Developer
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42 Guide`_.
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43 """
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44 APIVersion = "2013-01-01"
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45 AuthServiceName = 'cloudsearch'
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46 DefaultRegionName = "us-east-1"
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47 DefaultRegionEndpoint = "cloudsearch.us-east-1.amazonaws.com"
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48 ResponseError = JSONResponseError
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49
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50 _faults = {
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51 "SearchException": exceptions.SearchException,
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52 "DocumentServiceException": exceptions.DocumentServiceException,
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53 }
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54
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55 def __init__(self, **kwargs):
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56 region = kwargs.get('region')
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57 if not region:
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58 region = RegionInfo(self, self.DefaultRegionName,
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59 self.DefaultRegionEndpoint)
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60 else:
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61 del kwargs['region']
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62 if kwargs.get('host', None) is None:
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63 raise ValueError(
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64 'The argument, host, must be provided when creating a '
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65 'CloudSearchDomainConnection because its methods require the '
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66 'specific domain\'s endpoint in order to successfully make '
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67 'requests to that CloudSearch Domain.'
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68 )
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69 super(CloudSearchDomainConnection, self).__init__(**kwargs)
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70 self.region = region
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71
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72 def _required_auth_capability(self):
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73 return ['hmac-v4']
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74
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75 def search(self, query, cursor=None, expr=None, facet=None,
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76 filter_query=None, highlight=None, partial=None,
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77 query_options=None, query_parser=None, ret=None, size=None,
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78 sort=None, start=None):
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79 """
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80 Retrieves a list of documents that match the specified search
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81 criteria. How you specify the search criteria depends on which
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82 query parser you use. Amazon CloudSearch supports four query
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83 parsers:
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84
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85
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86 + `simple`: search all `text` and `text-array` fields for the
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87 specified string. Search for phrases, individual terms, and
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88 prefixes.
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89 + `structured`: search specific fields, construct compound
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90 queries using Boolean operators, and use advanced features
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91 such as term boosting and proximity searching.
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92 + `lucene`: specify search criteria using the Apache Lucene
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93 query parser syntax.
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94 + `dismax`: specify search criteria using the simplified
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95 subset of the Apache Lucene query parser syntax defined by the
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96 DisMax query parser.
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97
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98
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99 For more information, see `Searching Your Data`_ in the Amazon
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100 CloudSearch Developer Guide .
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101
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102 The endpoint for submitting `Search` requests is domain-
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103 specific. You submit search requests to a domain's search
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104 endpoint. To get the search endpoint for your domain, use the
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105 Amazon CloudSearch configuration service `DescribeDomains`
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106 action. A domain's endpoints are also displayed on the domain
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107 dashboard in the Amazon CloudSearch console.
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108
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109 :type cursor: string
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110 :param cursor: Retrieves a cursor value you can use to page through
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111 large result sets. Use the `size` parameter to control the number
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112 of hits to include in each response. You can specify either the
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113 `cursor` or `start` parameter in a request; they are mutually
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114 exclusive. To get the first cursor, set the cursor value to
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115 `initial`. In subsequent requests, specify the cursor value
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116 returned in the hits section of the response.
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117 For more information, see `Paginating Results`_ in the Amazon
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118 CloudSearch Developer Guide .
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119
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120 :type expr: string
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121 :param expr: Defines one or more numeric expressions that can be used
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122 to sort results or specify search or filter criteria. You can also
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123 specify expressions as return fields.
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124 For more information about defining and using expressions, see
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125 `Configuring Expressions`_ in the Amazon CloudSearch Developer
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126 Guide .
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127
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128 :type facet: string
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129 :param facet: Specifies one or more fields for which to get facet
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130 information, and options that control how the facet information is
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131 returned. Each specified field must be facet-enabled in the domain
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132 configuration. The fields and options are specified in JSON using
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133 the form `{"FIELD":{"OPTION":VALUE,"OPTION:"STRING"},"FIELD":{"OPTI
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134 ON":VALUE,"OPTION":"STRING"}}`.
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135 You can specify the following faceting options:
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136
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137
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138 + `buckets` specifies an array of the facet values or ranges to count.
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139 Ranges are specified using the same syntax that you use to search
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140 for a range of values. For more information, see ` Searching for a
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141 Range of Values`_ in the Amazon CloudSearch Developer Guide .
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142 Buckets are returned in the order they are specified in the
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143 request. The `sort` and `size` options are not valid if you specify
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144 `buckets`.
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145 + `size` specifies the maximum number of facets to include in the
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146 results. By default, Amazon CloudSearch returns counts for the top
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147 10. The `size` parameter is only valid when you specify the `sort`
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148 option; it cannot be used in conjunction with `buckets`.
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149 + `sort` specifies how you want to sort the facets in the results:
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150 `bucket` or `count`. Specify `bucket` to sort alphabetically or
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151 numerically by facet value (in ascending order). Specify `count` to
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152 sort by the facet counts computed for each facet value (in
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153 descending order). To retrieve facet counts for particular values
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154 or ranges of values, use the `buckets` option instead of `sort`.
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155
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156
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157 If no facet options are specified, facet counts are computed for all
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158 field values, the facets are sorted by facet count, and the top 10
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159 facets are returned in the results.
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160
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161 For more information, see `Getting and Using Facet Information`_ in the
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162 Amazon CloudSearch Developer Guide .
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163
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164 :type filter_query: string
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165 :param filter_query: Specifies a structured query that filters the
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166 results of a search without affecting how the results are scored
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167 and sorted. You use `filterQuery` in conjunction with the `query`
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168 parameter to filter the documents that match the constraints
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169 specified in the `query` parameter. Specifying a filter controls
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170 only which matching documents are included in the results, it has
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171 no effect on how they are scored and sorted. The `filterQuery`
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172 parameter supports the full structured query syntax.
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173 For more information about using filters, see `Filtering Matching
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174 Documents`_ in the Amazon CloudSearch Developer Guide .
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175
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176 :type highlight: string
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177 :param highlight: Retrieves highlights for matches in the specified
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178 `text` or `text-array` fields. Each specified field must be
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179 highlight enabled in the domain configuration. The fields and
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180 options are specified in JSON using the form `{"FIELD":{"OPTION":VA
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181 LUE,"OPTION:"STRING"},"FIELD":{"OPTION":VALUE,"OPTION":"STRING"}}`.
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182 You can specify the following highlight options:
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183
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184
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185 + `format`: specifies the format of the data in the text field: `text`
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186 or `html`. When data is returned as HTML, all non-alphanumeric
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187 characters are encoded. The default is `html`.
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188 + `max_phrases`: specifies the maximum number of occurrences of the
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189 search term(s) you want to highlight. By default, the first
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190 occurrence is highlighted.
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191 + `pre_tag`: specifies the string to prepend to an occurrence of a
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192 search term. The default for HTML highlights is `<em>`. The
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193 default for text highlights is `*`.
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194 + `post_tag`: specifies the string to append to an occurrence of a
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195 search term. The default for HTML highlights is `</em>`. The
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196 default for text highlights is `*`.
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197
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198
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199 If no highlight options are specified for a field, the returned field
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200 text is treated as HTML and the first match is highlighted with
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201 emphasis tags: `<em>search-term</em>`.
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202
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203 :type partial: boolean
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204 :param partial: Enables partial results to be returned if one or more
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205 index partitions are unavailable. When your search index is
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206 partitioned across multiple search instances, by default Amazon
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207 CloudSearch only returns results if every partition can be queried.
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208 This means that the failure of a single search instance can result
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209 in 5xx (internal server) errors. When you enable partial results,
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210 Amazon CloudSearch returns whatever results are available and
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211 includes the percentage of documents searched in the search results
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212 (percent-searched). This enables you to more gracefully degrade
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213 your users' search experience. For example, rather than displaying
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214 no results, you could display the partial results and a message
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215 indicating that the results might be incomplete due to a temporary
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216 system outage.
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217
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218 :type query: string
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219 :param query: Specifies the search criteria for the request. How you
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220 specify the search criteria depends on the query parser used for
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221 the request and the parser options specified in the `queryOptions`
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222 parameter. By default, the `simple` query parser is used to process
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223 requests. To use the `structured`, `lucene`, or `dismax` query
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224 parser, you must also specify the `queryParser` parameter.
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225 For more information about specifying search criteria, see `Searching
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226 Your Data`_ in the Amazon CloudSearch Developer Guide .
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227
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228 :type query_options: string
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229 :param query_options:
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230 Configures options for the query parser specified in the `queryParser`
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231 parameter.
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232
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233 The options you can configure vary according to which parser you use:
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234
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235
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236 + `defaultOperator`: The default operator used to combine individual
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237 terms in the search string. For example: `defaultOperator: 'or'`.
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238 For the `dismax` parser, you specify a percentage that represents
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239 the percentage of terms in the search string (rounded down) that
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240 must match, rather than a default operator. A value of `0%` is the
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241 equivalent to OR, and a value of `100%` is equivalent to AND. The
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242 percentage must be specified as a value in the range 0-100 followed
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243 by the percent (%) symbol. For example, `defaultOperator: 50%`.
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244 Valid values: `and`, `or`, a percentage in the range 0%-100% (
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245 `dismax`). Default: `and` ( `simple`, `structured`, `lucene`) or
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246 `100` ( `dismax`). Valid for: `simple`, `structured`, `lucene`, and
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247 `dismax`.
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248 + `fields`: An array of the fields to search when no fields are
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249 specified in a search. If no fields are specified in a search and
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250 this option is not specified, all text and text-array fields are
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251 searched. You can specify a weight for each field to control the
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252 relative importance of each field when Amazon CloudSearch
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253 calculates relevance scores. To specify a field weight, append a
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254 caret ( `^`) symbol and the weight to the field name. For example,
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255 to boost the importance of the `title` field over the `description`
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256 field you could specify: `"fields":["title^5","description"]`.
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257 Valid values: The name of any configured field and an optional
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258 numeric value greater than zero. Default: All `text` and `text-
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259 array` fields. Valid for: `simple`, `structured`, `lucene`, and
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260 `dismax`.
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261 + `operators`: An array of the operators or special characters you want
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262 to disable for the simple query parser. If you disable the `and`,
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263 `or`, or `not` operators, the corresponding operators ( `+`, `|`,
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264 `-`) have no special meaning and are dropped from the search
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265 string. Similarly, disabling `prefix` disables the wildcard
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266 operator ( `*`) and disabling `phrase` disables the ability to
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267 search for phrases by enclosing phrases in double quotes. Disabling
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268 precedence disables the ability to control order of precedence
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269 using parentheses. Disabling `near` disables the ability to use the
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270 ~ operator to perform a sloppy phrase search. Disabling the `fuzzy`
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271 operator disables the ability to use the ~ operator to perform a
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272 fuzzy search. `escape` disables the ability to use a backslash (
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273 `\`) to escape special characters within the search string.
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274 Disabling whitespace is an advanced option that prevents the parser
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275 from tokenizing on whitespace, which can be useful for Vietnamese.
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276 (It prevents Vietnamese words from being split incorrectly.) For
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277 example, you could disable all operators other than the phrase
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278 operator to support just simple term and phrase queries:
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279 `"operators":["and","not","or", "prefix"]`. Valid values: `and`,
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280 `escape`, `fuzzy`, `near`, `not`, `or`, `phrase`, `precedence`,
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281 `prefix`, `whitespace`. Default: All operators and special
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282 characters are enabled. Valid for: `simple`.
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283 + `phraseFields`: An array of the `text` or `text-array` fields you
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284 want to use for phrase searches. When the terms in the search
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285 string appear in close proximity within a field, the field scores
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286 higher. You can specify a weight for each field to boost that
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287 score. The `phraseSlop` option controls how much the matches can
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288 deviate from the search string and still be boosted. To specify a
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289 field weight, append a caret ( `^`) symbol and the weight to the
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290 field name. For example, to boost phrase matches in the `title`
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291 field over the `abstract` field, you could specify:
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292 `"phraseFields":["title^3", "plot"]` Valid values: The name of any
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293 `text` or `text-array` field and an optional numeric value greater
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294 than zero. Default: No fields. If you don't specify any fields with
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295 `phraseFields`, proximity scoring is disabled even if `phraseSlop`
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296 is specified. Valid for: `dismax`.
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297 + `phraseSlop`: An integer value that specifies how much matches can
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298 deviate from the search phrase and still be boosted according to
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299 the weights specified in the `phraseFields` option; for example,
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300 `phraseSlop: 2`. You must also specify `phraseFields` to enable
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301 proximity scoring. Valid values: positive integers. Default: 0.
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302 Valid for: `dismax`.
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303 + `explicitPhraseSlop`: An integer value that specifies how much a
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304 match can deviate from the search phrase when the phrase is
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305 enclosed in double quotes in the search string. (Phrases that
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306 exceed this proximity distance are not considered a match.) For
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307 example, to specify a slop of three for dismax phrase queries, you
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308 would specify `"explicitPhraseSlop":3`. Valid values: positive
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309 integers. Default: 0. Valid for: `dismax`.
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310 + `tieBreaker`: When a term in the search string is found in a
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311 document's field, a score is calculated for that field based on how
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312 common the word is in that field compared to other documents. If
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313 the term occurs in multiple fields within a document, by default
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314 only the highest scoring field contributes to the document's
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315 overall score. You can specify a `tieBreaker` value to enable the
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316 matches in lower-scoring fields to contribute to the document's
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317 score. That way, if two documents have the same max field score for
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318 a particular term, the score for the document that has matches in
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319 more fields will be higher. The formula for calculating the score
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320 with a tieBreaker is `(max field score) + (tieBreaker) * (sum of
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321 the scores for the rest of the matching fields)`. Set `tieBreaker`
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322 to 0 to disregard all but the highest scoring field (pure max):
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323 `"tieBreaker":0`. Set to 1 to sum the scores from all fields (pure
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324 sum): `"tieBreaker":1`. Valid values: 0.0 to 1.0. Default: 0.0.
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325 Valid for: `dismax`.
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326
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327 :type query_parser: string
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328 :param query_parser:
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329 Specifies which query parser to use to process the request. If
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330 `queryParser` is not specified, Amazon CloudSearch uses the
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331 `simple` query parser.
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332
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333 Amazon CloudSearch supports four query parsers:
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334
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335
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336 + `simple`: perform simple searches of `text` and `text-array` fields.
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337 By default, the `simple` query parser searches all `text` and
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338 `text-array` fields. You can specify which fields to search by with
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339 the `queryOptions` parameter. If you prefix a search term with a
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340 plus sign (+) documents must contain the term to be considered a
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341 match. (This is the default, unless you configure the default
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342 operator with the `queryOptions` parameter.) You can use the `-`
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343 (NOT), `|` (OR), and `*` (wildcard) operators to exclude particular
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344 terms, find results that match any of the specified terms, or
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345 search for a prefix. To search for a phrase rather than individual
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346 terms, enclose the phrase in double quotes. For more information,
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347 see `Searching for Text`_ in the Amazon CloudSearch Developer Guide
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348 .
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349 + `structured`: perform advanced searches by combining multiple
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350 expressions to define the search criteria. You can also search
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351 within particular fields, search for values and ranges of values,
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352 and use advanced options such as term boosting, `matchall`, and
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353 `near`. For more information, see `Constructing Compound Queries`_
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354 in the Amazon CloudSearch Developer Guide .
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355 + `lucene`: search using the Apache Lucene query parser syntax. For
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356 more information, see `Apache Lucene Query Parser Syntax`_.
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357 + `dismax`: search using the simplified subset of the Apache Lucene
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358 query parser syntax defined by the DisMax query parser. For more
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359 information, see `DisMax Query Parser Syntax`_.
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360
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361 :type ret: string
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362 :param ret: Specifies the field and expression values to include in
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363 the response. Multiple fields or expressions are specified as a
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364 comma-separated list. By default, a search response includes all
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365 return enabled fields ( `_all_fields`). To return only the document
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366 IDs for the matching documents, specify `_no_fields`. To retrieve
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367 the relevance score calculated for each document, specify `_score`.
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368
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369 :type size: long
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370 :param size: Specifies the maximum number of search hits to include in
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371 the response.
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372
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373 :type sort: string
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374 :param sort: Specifies the fields or custom expressions to use to sort
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375 the search results. Multiple fields or expressions are specified as
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376 a comma-separated list. You must specify the sort direction ( `asc`
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377 or `desc`) for each field; for example, `year desc,title asc`. To
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378 use a field to sort results, the field must be sort-enabled in the
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379 domain configuration. Array type fields cannot be used for sorting.
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380 If no `sort` parameter is specified, results are sorted by their
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381 default relevance scores in descending order: `_score desc`. You
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382 can also sort by document ID ( `_id asc`) and version ( `_version
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383 desc`).
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384 For more information, see `Sorting Results`_ in the Amazon CloudSearch
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385 Developer Guide .
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386
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387 :type start: long
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388 :param start: Specifies the offset of the first search hit you want to
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389 return. Note that the result set is zero-based; the first result is
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390 at index 0. You can specify either the `start` or `cursor`
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391 parameter in a request, they are mutually exclusive.
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392 For more information, see `Paginating Results`_ in the Amazon
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393 CloudSearch Developer Guide .
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394
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395 """
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396 uri = '/2013-01-01/search'
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397 params = {}
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398 headers = {}
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399 query_params = {}
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400 if cursor is not None:
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401 query_params['cursor'] = cursor
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402 if expr is not None:
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403 query_params['expr'] = expr
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404 if facet is not None:
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405 query_params['facet'] = facet
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406 if filter_query is not None:
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407 query_params['fq'] = filter_query
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408 if highlight is not None:
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409 query_params['highlight'] = highlight
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410 if partial is not None:
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411 query_params['partial'] = partial
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412 if query is not None:
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413 query_params['q'] = query
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414 if query_options is not None:
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415 query_params['q.options'] = query_options
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416 if query_parser is not None:
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417 query_params['q.parser'] = query_parser
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418 if ret is not None:
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419 query_params['return'] = ret
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420 if size is not None:
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421 query_params['size'] = size
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422 if sort is not None:
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423 query_params['sort'] = sort
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424 if start is not None:
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425 query_params['start'] = start
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426 return self.make_request('POST', uri, expected_status=200,
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427 data=json.dumps(params), headers=headers,
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428 params=query_params)
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429
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430 def suggest(self, query, suggester, size=None):
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431 """
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432 Retrieves autocomplete suggestions for a partial query string.
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433 You can use suggestions enable you to display likely matches
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434 before users finish typing. In Amazon CloudSearch, suggestions
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435 are based on the contents of a particular text field. When you
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436 request suggestions, Amazon CloudSearch finds all of the
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437 documents whose values in the suggester field start with the
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438 specified query string. The beginning of the field must match
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439 the query string to be considered a match.
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440
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441 For more information about configuring suggesters and
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442 retrieving suggestions, see `Getting Suggestions`_ in the
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443 Amazon CloudSearch Developer Guide .
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444
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445 The endpoint for submitting `Suggest` requests is domain-
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446 specific. You submit suggest requests to a domain's search
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447 endpoint. To get the search endpoint for your domain, use the
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448 Amazon CloudSearch configuration service `DescribeDomains`
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449 action. A domain's endpoints are also displayed on the domain
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450 dashboard in the Amazon CloudSearch console.
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451
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452 :type query: string
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453 :param query: Specifies the string for which you want to get
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454 suggestions.
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455
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456 :type suggester: string
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457 :param suggester: Specifies the name of the suggester to use to find
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458 suggested matches.
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459
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460 :type size: long
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461 :param size: Specifies the maximum number of suggestions to return.
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462
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463 """
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464 uri = '/2013-01-01/suggest'
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465 params = {}
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466 headers = {}
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467 query_params = {}
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468 if query is not None:
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469 query_params['q'] = query
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470 if suggester is not None:
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471 query_params['suggester'] = suggester
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472 if size is not None:
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473 query_params['size'] = size
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474 return self.make_request('GET', uri, expected_status=200,
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475 data=json.dumps(params), headers=headers,
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476 params=query_params)
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477
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478 def upload_documents(self, documents, content_type):
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479 """
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480 Posts a batch of documents to a search domain for indexing. A
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481 document batch is a collection of add and delete operations
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482 that represent the documents you want to add, update, or
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483 delete from your domain. Batches can be described in either
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484 JSON or XML. Each item that you want Amazon CloudSearch to
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485 return as a search result (such as a product) is represented
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486 as a document. Every document has a unique ID and one or more
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487 fields that contain the data that you want to search and
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488 return in results. Individual documents cannot contain more
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489 than 1 MB of data. The entire batch cannot exceed 5 MB. To get
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490 the best possible upload performance, group add and delete
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491 operations in batches that are close the 5 MB limit.
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492 Submitting a large volume of single-document batches can
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493 overload a domain's document service.
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494
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495 The endpoint for submitting `UploadDocuments` requests is
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496 domain-specific. To get the document endpoint for your domain,
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497 use the Amazon CloudSearch configuration service
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498 `DescribeDomains` action. A domain's endpoints are also
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499 displayed on the domain dashboard in the Amazon CloudSearch
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500 console.
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501
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502 For more information about formatting your data for Amazon
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503 CloudSearch, see `Preparing Your Data`_ in the Amazon
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504 CloudSearch Developer Guide . For more information about
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505 uploading data for indexing, see `Uploading Data`_ in the
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506 Amazon CloudSearch Developer Guide .
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507
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508 :type documents: blob
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509 :param documents: A batch of documents formatted in JSON or HTML.
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510
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511 :type content_type: string
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512 :param content_type:
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513 The format of the batch you are uploading. Amazon CloudSearch supports
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514 two document batch formats:
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515
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516
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517 + application/json
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518 + application/xml
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519
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520 """
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521 uri = '/2013-01-01/documents/batch'
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522 headers = {}
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523 query_params = {}
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524 if content_type is not None:
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525 headers['Content-Type'] = content_type
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526 return self.make_request('POST', uri, expected_status=200,
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527 data=documents, headers=headers,
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528 params=query_params)
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529
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530 def make_request(self, verb, resource, headers=None, data='',
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531 expected_status=None, params=None):
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532 if headers is None:
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533 headers = {}
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534 response = AWSAuthConnection.make_request(
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535 self, verb, resource, headers=headers, data=data, params=params)
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536 body = json.loads(response.read().decode('utf-8'))
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537 if response.status == expected_status:
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538 return body
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539 else:
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540 raise JSONResponseError(response.status, response.reason, body)