Mercurial > repos > shellac > guppy_basecaller
diff env/lib/python3.7/site-packages/boto/cloudsearch/search.py @ 5:9b1c78e6ba9c draft default tip
"planemo upload commit 6c0a8142489327ece472c84e558c47da711a9142"
| author | shellac |
|---|---|
| date | Mon, 01 Jun 2020 08:59:25 -0400 |
| parents | 79f47841a781 |
| children |
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--- a/env/lib/python3.7/site-packages/boto/cloudsearch/search.py Thu May 14 16:47:39 2020 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,377 +0,0 @@ -# Copyright (c) 2012 Mitch Garnaat http://garnaat.org/ -# Copyright (c) 2012 Amazon.com, Inc. or its affiliates. -# All Rights Reserved -# -# Permission is hereby granted, free of charge, to any person obtaining a -# copy of this software and associated documentation files (the -# "Software"), to deal in the Software without restriction, including -# without limitation the rights to use, copy, modify, merge, publish, dis- -# tribute, sublicense, and/or sell copies of the Software, and to permit -# persons to whom the Software is furnished to do so, subject to the fol- -# lowing conditions: -# -# The above copyright notice and this permission notice shall be included -# in all copies or substantial portions of the Software. -# -# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS -# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL- -# ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT -# SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, -# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS -# IN THE SOFTWARE. -# -from math import ceil -from boto.compat import json, map, six -import requests - - -class SearchServiceException(Exception): - pass - - -class CommitMismatchError(Exception): - pass - - -class SearchResults(object): - def __init__(self, **attrs): - self.rid = attrs['info']['rid'] - # self.doc_coverage_pct = attrs['info']['doc-coverage-pct'] - self.cpu_time_ms = attrs['info']['cpu-time-ms'] - self.time_ms = attrs['info']['time-ms'] - self.hits = attrs['hits']['found'] - self.docs = attrs['hits']['hit'] - self.start = attrs['hits']['start'] - self.rank = attrs['rank'] - self.match_expression = attrs['match-expr'] - self.query = attrs['query'] - self.search_service = attrs['search_service'] - - self.facets = {} - if 'facets' in attrs: - for (facet, values) in attrs['facets'].items(): - if 'constraints' in values: - self.facets[facet] = dict((k, v) for (k, v) in map(lambda x: (x['value'], x['count']), values['constraints'])) - - self.num_pages_needed = ceil(self.hits / self.query.real_size) - - def __len__(self): - return len(self.docs) - - def __iter__(self): - return iter(self.docs) - - def next_page(self): - """Call Cloudsearch to get the next page of search results - - :rtype: :class:`boto.cloudsearch.search.SearchResults` - :return: the following page of search results - """ - if self.query.page <= self.num_pages_needed: - self.query.start += self.query.real_size - self.query.page += 1 - return self.search_service(self.query) - else: - raise StopIteration - - -class Query(object): - - RESULTS_PER_PAGE = 500 - - def __init__(self, q=None, bq=None, rank=None, - return_fields=None, size=10, - start=0, facet=None, facet_constraints=None, - facet_sort=None, facet_top_n=None, t=None): - - self.q = q - self.bq = bq - self.rank = rank or [] - self.return_fields = return_fields or [] - self.start = start - self.facet = facet or [] - self.facet_constraints = facet_constraints or {} - self.facet_sort = facet_sort or {} - self.facet_top_n = facet_top_n or {} - self.t = t or {} - self.page = 0 - self.update_size(size) - - def update_size(self, new_size): - self.size = new_size - self.real_size = Query.RESULTS_PER_PAGE if (self.size > - Query.RESULTS_PER_PAGE or self.size == 0) else self.size - - def to_params(self): - """Transform search parameters from instance properties to a dictionary - - :rtype: dict - :return: search parameters - """ - params = {'start': self.start, 'size': self.real_size} - - if self.q: - params['q'] = self.q - - if self.bq: - params['bq'] = self.bq - - if self.rank: - params['rank'] = ','.join(self.rank) - - if self.return_fields: - params['return-fields'] = ','.join(self.return_fields) - - if self.facet: - params['facet'] = ','.join(self.facet) - - if self.facet_constraints: - for k, v in six.iteritems(self.facet_constraints): - params['facet-%s-constraints' % k] = v - - if self.facet_sort: - for k, v in six.iteritems(self.facet_sort): - params['facet-%s-sort' % k] = v - - if self.facet_top_n: - for k, v in six.iteritems(self.facet_top_n): - params['facet-%s-top-n' % k] = v - - if self.t: - for k, v in six.iteritems(self.t): - params['t-%s' % k] = v - return params - - -class SearchConnection(object): - - def __init__(self, domain=None, endpoint=None): - self.domain = domain - self.endpoint = endpoint - if not endpoint: - self.endpoint = domain.search_service_endpoint - - def build_query(self, q=None, bq=None, rank=None, return_fields=None, - size=10, start=0, facet=None, facet_constraints=None, - facet_sort=None, facet_top_n=None, t=None): - return Query(q=q, bq=bq, rank=rank, return_fields=return_fields, - size=size, start=start, facet=facet, - facet_constraints=facet_constraints, - facet_sort=facet_sort, facet_top_n=facet_top_n, t=t) - - def search(self, q=None, bq=None, rank=None, return_fields=None, - size=10, start=0, facet=None, facet_constraints=None, - facet_sort=None, facet_top_n=None, t=None): - """ - Send a query to CloudSearch - - Each search query should use at least the q or bq argument to specify - the search parameter. The other options are used to specify the - criteria of the search. - - :type q: string - :param q: A string to search the default search fields for. - - :type bq: string - :param bq: A string to perform a Boolean search. This can be used to - create advanced searches. - - :type rank: List of strings - :param rank: A list of fields or rank expressions used to order the - search results. A field can be reversed by using the - operator. - ``['-year', 'author']`` - - :type return_fields: List of strings - :param return_fields: A list of fields which should be returned by the - search. If this field is not specified, only IDs will be returned. - ``['headline']`` - - :type size: int - :param size: Number of search results to specify - - :type start: int - :param start: Offset of the first search result to return (can be used - for paging) - - :type facet: list - :param facet: List of fields for which facets should be returned - ``['colour', 'size']`` - - :type facet_constraints: dict - :param facet_constraints: Use to limit facets to specific values - specified as comma-delimited strings in a Dictionary of facets - ``{'colour': "'blue','white','red'", 'size': "big"}`` - - :type facet_sort: dict - :param facet_sort: Rules used to specify the order in which facet - values should be returned. Allowed values are *alpha*, *count*, - *max*, *sum*. Use *alpha* to sort alphabetical, and *count* to sort - the facet by number of available result. - ``{'color': 'alpha', 'size': 'count'}`` - - :type facet_top_n: dict - :param facet_top_n: Dictionary of facets and number of facets to - return. - ``{'colour': 2}`` - - :type t: dict - :param t: Specify ranges for specific fields - ``{'year': '2000..2005'}`` - - :rtype: :class:`boto.cloudsearch.search.SearchResults` - :return: Returns the results of this search - - The following examples all assume we have indexed a set of documents - with fields: *author*, *date*, *headline* - - A simple search will look for documents whose default text search - fields will contain the search word exactly: - - >>> search(q='Tim') # Return documents with the word Tim in them (but not Timothy) - - A simple search with more keywords will return documents whose default - text search fields contain the search strings together or separately. - - >>> search(q='Tim apple') # Will match "tim" and "apple" - - More complex searches require the boolean search operator. - - Wildcard searches can be used to search for any words that start with - the search string. - - >>> search(bq="'Tim*'") # Return documents with words like Tim or Timothy) - - Search terms can also be combined. Allowed operators are "and", "or", - "not", "field", "optional", "token", "phrase", or "filter" - - >>> search(bq="(and 'Tim' (field author 'John Smith'))") - - Facets allow you to show classification information about the search - results. For example, you can retrieve the authors who have written - about Tim: - - >>> search(q='Tim', facet=['Author']) - - With facet_constraints, facet_top_n and facet_sort more complicated - constraints can be specified such as returning the top author out of - John Smith and Mark Smith who have a document with the word Tim in it. - - >>> search(q='Tim', - ... facet=['Author'], - ... facet_constraints={'author': "'John Smith','Mark Smith'"}, - ... facet=['author'], - ... facet_top_n={'author': 1}, - ... facet_sort={'author': 'count'}) - """ - - query = self.build_query(q=q, bq=bq, rank=rank, - return_fields=return_fields, - size=size, start=start, facet=facet, - facet_constraints=facet_constraints, - facet_sort=facet_sort, - facet_top_n=facet_top_n, t=t) - return self(query) - - def __call__(self, query): - """Make a call to CloudSearch - - :type query: :class:`boto.cloudsearch.search.Query` - :param query: A group of search criteria - - :rtype: :class:`boto.cloudsearch.search.SearchResults` - :return: search results - """ - url = "http://%s/2011-02-01/search" % (self.endpoint) - params = query.to_params() - - r = requests.get(url, params=params) - body = r.content.decode('utf-8') - try: - data = json.loads(body) - except ValueError as e: - if r.status_code == 403: - msg = '' - import re - g = re.search('<html><body><h1>403 Forbidden</h1>([^<]+)<', body) - try: - msg = ': %s' % (g.groups()[0].strip()) - except AttributeError: - pass - raise SearchServiceException('Authentication error from Amazon%s' % msg) - raise SearchServiceException("Got non-json response from Amazon. %s" % body, query) - - if 'messages' in data and 'error' in data: - for m in data['messages']: - if m['severity'] == 'fatal': - raise SearchServiceException("Error processing search %s " - "=> %s" % (params, m['message']), query) - elif 'error' in data: - raise SearchServiceException("Unknown error processing search %s" - % json.dumps(data), query) - - data['query'] = query - data['search_service'] = self - - return SearchResults(**data) - - def get_all_paged(self, query, per_page): - """Get a generator to iterate over all pages of search results - - :type query: :class:`boto.cloudsearch.search.Query` - :param query: A group of search criteria - - :type per_page: int - :param per_page: Number of docs in each :class:`boto.cloudsearch.search.SearchResults` object. - - :rtype: generator - :return: Generator containing :class:`boto.cloudsearch.search.SearchResults` - """ - query.update_size(per_page) - page = 0 - num_pages_needed = 0 - while page <= num_pages_needed: - results = self(query) - num_pages_needed = results.num_pages_needed - yield results - query.start += query.real_size - page += 1 - - def get_all_hits(self, query): - """Get a generator to iterate over all search results - - Transparently handles the results paging from Cloudsearch - search results so even if you have many thousands of results - you can iterate over all results in a reasonably efficient - manner. - - :type query: :class:`boto.cloudsearch.search.Query` - :param query: A group of search criteria - - :rtype: generator - :return: All docs matching query - """ - page = 0 - num_pages_needed = 0 - while page <= num_pages_needed: - results = self(query) - num_pages_needed = results.num_pages_needed - for doc in results: - yield doc - query.start += query.real_size - page += 1 - - def get_num_hits(self, query): - """Return the total number of hits for query - - :type query: :class:`boto.cloudsearch.search.Query` - :param query: a group of search criteria - - :rtype: int - :return: Total number of hits for query - """ - query.update_size(1) - return self(query).hits - - -
