[mod] bing_images: use async API & upgrade to data_type: traits_v1
Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
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				@ -1,16 +1,30 @@
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# SPDX-License-Identifier: AGPL-3.0-or-later
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					# SPDX-License-Identifier: AGPL-3.0-or-later
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# lint: pylint
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					# lint: pylint
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"""Bing (Images)
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					"""Bing-Images: description see :py:obj:`searx.engines.bing`.
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"""
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					"""
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					# pylint: disable=invalid-name
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from json import loads
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					from typing import TYPE_CHECKING
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					import uuid
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					import json
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from urllib.parse import urlencode
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					from urllib.parse import urlencode
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from lxml import html
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					from lxml import html
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from searx.utils import match_language
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from searx.enginelib.traits import EngineTraits
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					from searx.enginelib.traits import EngineTraits
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					from searx.engines.bing import (
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					    set_bing_cookies,
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					    _fetch_traits,
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					)
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					from searx.engines.bing import send_accept_language_header  # pylint: disable=unused-import
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					if TYPE_CHECKING:
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					    import logging
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					    logger: logging.Logger
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					traits: EngineTraits
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# about
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					# about
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about = {
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					about = {
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@ -27,93 +41,92 @@ categories = ['images', 'web']
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paging = True
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					paging = True
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safesearch = True
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					safesearch = True
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time_range_support = True
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					time_range_support = True
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send_accept_language_header = True
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supported_languages_url = 'https://www.bing.com/account/general'
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number_of_results = 28
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# search-url
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					base_url = 'https://www.bing.com/images/async'
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base_url = 'https://www.bing.com/'
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					"""Bing (Images) search URL"""
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search_string = (
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					bing_traits_url = 'https://learn.microsoft.com/en-us/bing/search-apis/bing-image-search/reference/market-codes'
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					"""Bing (Images) search API description"""
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					time_map = {
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    # fmt: off
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					    # fmt: off
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    'images/search'
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					    'day': 60 * 24,
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    '?{query}'
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					    'week': 60 * 24 * 7,
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    '&count={count}'
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					    'month': 60 * 24 * 31,
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    '&first={first}'
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					    'year': 60 * 24 * 365,
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    '&tsc=ImageHoverTitle'
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    # fmt: on
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					    # fmt: on
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)
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					}
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time_range_string = '&qft=+filterui:age-lt{interval}'
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time_range_dict = {'day': '1440', 'week': '10080', 'month': '43200', 'year': '525600'}
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# safesearch definitions
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safesearch_types = {2: 'STRICT', 1: 'DEMOTE', 0: 'OFF'}
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# do search-request
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def request(query, params):
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					def request(query, params):
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    offset = ((params['pageno'] - 1) * number_of_results) + 1
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					    """Assemble a Bing-Image request."""
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    search_path = search_string.format(query=urlencode({'q': query}), count=number_of_results, first=offset)
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					    engine_region = traits.get_region(params['searxng_locale'], 'en-US')
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					    engine_language = traits.get_language(params['searxng_locale'], 'en')
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    language = match_language(params['language'], supported_languages, language_aliases).lower()
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					    SID = uuid.uuid1().hex.upper()
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					    set_bing_cookies(params, engine_language, engine_region, SID)
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    params['cookies']['SRCHHPGUSR'] = 'ADLT=' + safesearch_types.get(params['safesearch'], 'DEMOTE')
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					    # build URL query
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					    # - example: https://www.bing.com/images/async?q=foo&first=155&count=35
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    params['cookies']['_EDGE_S'] = 'mkt=' + language + '&ui=' + language + '&F=1'
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					    query_params = {
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					        # fmt: off
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					        'q': query,
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					        'async' : 'content',
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					        # to simplify the page count lets use the default of 35 images per page
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					        'first' : (int(params.get('pageno', 1)) - 1) * 35 + 1,
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					        'count' : 35,
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					        # fmt: on
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					    }
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    params['url'] = base_url + search_path
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					    # time range
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    if params['time_range'] in time_range_dict:
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					    # - example: one year (525600 minutes) 'qft=+filterui:age-lt525600'
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        params['url'] += time_range_string.format(interval=time_range_dict[params['time_range']])
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					    if params['time_range']:
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					        query_params['qft'] = 'filterui:age-lt%s' % time_map[params['time_range']]
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					    params['url'] = base_url + '?' + urlencode(query_params)
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    return params
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					    return params
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# get response from search-request
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def response(resp):
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					def response(resp):
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    results = []
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					    """Get response from Bing-Images"""
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					    results = []
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    dom = html.fromstring(resp.text)
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					    dom = html.fromstring(resp.text)
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    # parse results
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					    for result in dom.xpath('//ul[contains(@class, "dgControl_list")]/li'):
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    for result in dom.xpath('//div[@class="imgpt"]'):
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        img_format = result.xpath('./div[contains(@class, "img_info")]/span/text()')[0]
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        # Microsoft seems to experiment with this code so don't make the path too specific,
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        # just catch the text section for the first anchor in img_info assuming this to be
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        # the originating site.
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        source = result.xpath('./div[contains(@class, "img_info")]//a/text()')[0]
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        m = loads(result.xpath('./a/@m')[0])
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					        metadata = result.xpath('.//a[@class="iusc"]/@m')
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					        if not metadata:
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					            continue
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        # strip 'Unicode private use area' highlighting, they render to Tux
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					        metadata = json.loads(result.xpath('.//a[@class="iusc"]/@m')[0])
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        # the Linux penguin and a standing diamond on my machine...
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					        title = ' '.join(result.xpath('.//div[@class="infnmpt"]//a/text()')).strip()
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        title = m.get('t', '').replace('\ue000', '').replace('\ue001', '')
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					        img_format = ' '.join(result.xpath('.//div[@class="imgpt"]/div/span/text()')).strip()
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					        source = ' '.join(result.xpath('.//div[@class="imgpt"]//div[@class="lnkw"]//a/text()')).strip()
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        results.append(
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					        results.append(
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            {
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					            {
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                'template': 'images.html',
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					                'template': 'images.html',
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                'url': m['purl'],
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					                'url': metadata['purl'],
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                'thumbnail_src': m['turl'],
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					                'thumbnail_src': metadata['turl'],
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                'img_src': m['murl'],
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					                'img_src': metadata['murl'],
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                'content': '',
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					                'content': metadata['desc'],
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                'title': title,
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					                'title': title,
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                'source': source,
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					                'source': source,
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                'img_format': img_format,
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					                'img_format': img_format,
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            }
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					            }
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        )
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					        )
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    return results
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					    return results
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def fetch_traits(engine_traits: EngineTraits):
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					def fetch_traits(engine_traits: EngineTraits):
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    """Fetch languages and regions from Bing-News."""
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					    """Fetch languages and regions from Bing-News."""
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    # pylint: disable=import-outside-toplevel
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    from searx.engines.bing import _fetch_traits
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    url = 'https://learn.microsoft.com/en-us/bing/search-apis/bing-news-search/reference/market-codes'
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    xpath_market_codes = '//table[1]/tbody/tr/td[3]'
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					    xpath_market_codes = '//table[1]/tbody/tr/td[3]'
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    # xpath_country_codes = '//table[2]/tbody/tr/td[2]'
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					    # xpath_country_codes = '//table[2]/tbody/tr/td[2]'
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    xpath_language_codes = '//table[3]/tbody/tr/td[2]'
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					    xpath_language_codes = '//table[3]/tbody/tr/td[2]'
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    _fetch_traits(engine_traits, url, xpath_language_codes, xpath_market_codes)
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					    _fetch_traits(engine_traits, bing_traits_url, xpath_language_codes, xpath_market_codes)
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