comparison planemo/lib/python3.7/site-packages/boto/cloudsearchdomain/layer1.py @ 0:d30785e31577 draft

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