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# SPDX-License-Identifier: AGPL-3.0-or-later
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"""Yandex (Web, images)"""
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from json import loads
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from urllib.parse import urlencode
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from html import unescape
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from lxml import html
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from searx.exceptions import SearxEngineCaptchaException
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from searx.utils import humanize_bytes, eval_xpath, eval_xpath_list, extract_text, extr
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# Engine metadata
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about = {
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"website": 'https://yandex.com/',
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"wikidata_id": 'Q5281',
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"official_api_documentation": "?",
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"use_official_api": False,
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"require_api_key": False,
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"results": 'HTML',
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}
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# Engine configuration
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categories = []
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paging = True
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search_type = ""
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# Search URL
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base_url_web = 'https://yandex.com/search/site/'
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base_url_images = 'https://yandex.com/images/search'
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results_xpath = '//li[contains(@class, "serp-item")]'
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url_xpath = './/a[@class="b-serp-item__title-link"]/@href'
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title_xpath = './/h3[@class="b-serp-item__title"]/a[@class="b-serp-item__title-link"]/span'
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content_xpath = './/div[@class="b-serp-item__content"]//div[@class="b-serp-item__text"]'
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def catch_bad_response(resp):
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if resp.url.path.startswith('/showcaptcha'):
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raise SearxEngineCaptchaException()
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def request(query, params):
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query_params_web = {
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"tmpl_version": "releases",
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"text": query,
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"web": "1",
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"frame": "1",
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"searchid": "3131712",
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}
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query_params_images = {
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"text": query,
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"uinfo": "sw-1920-sh-1080-ww-1125-wh-999",
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}
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if params['pageno'] > 1:
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query_params_web.update({"p": params["pageno"] - 1})
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query_params_images.update({"p": params["pageno"] - 1})
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params["cookies"] = {'cookie': "yp=1716337604.sp.family%3A0#1685406411.szm.1:1920x1080:1920x999"}
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if search_type == 'web':
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params['url'] = f"{base_url_web}?{urlencode(query_params_web)}"
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elif search_type == 'images':
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params['url'] = f"{base_url_images}?{urlencode(query_params_images)}"
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return params
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def response(resp):
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if search_type == 'web':
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catch_bad_response(resp)
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dom = html.fromstring(resp.text)
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results = []
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for result in eval_xpath_list(dom, results_xpath):
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results.append(
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{
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'url': extract_text(eval_xpath(result, url_xpath)),
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'title': extract_text(eval_xpath(result, title_xpath)),
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'content': extract_text(eval_xpath(result, content_xpath)),
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}
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)
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return results
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if search_type == 'images':
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catch_bad_response(resp)
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html_data = html.fromstring(resp.text)
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html_sample = unescape(html.tostring(html_data, encoding='unicode'))
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content_between_tags = extr(
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html_sample, '{"location":"/images/search/', 'advRsyaSearchColumn":null}}', default="fail"
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)
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json_data = '{"location":"/images/search/' + content_between_tags + 'advRsyaSearchColumn":null}}'
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if content_between_tags == "fail":
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content_between_tags = extr(html_sample, '{"location":"/images/search/', 'false}}}')
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json_data = '{"location":"/images/search/' + content_between_tags + 'false}}}'
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json_resp = loads(json_data)
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results = []
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for _, item_data in json_resp['initialState']['serpList']['items']['entities'].items():
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title = item_data['snippet']['title']
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source = item_data['snippet']['url']
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thumb = item_data['image']
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fullsize_image = item_data['viewerData']['dups'][0]['url']
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height = item_data['viewerData']['dups'][0]['h']
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width = item_data['viewerData']['dups'][0]['w']
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filesize = item_data['viewerData']['dups'][0]['fileSizeInBytes']
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humanized_filesize = humanize_bytes(filesize)
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results.append(
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{
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'title': title,
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'url': source,
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'img_src': fullsize_image,
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'filesize': humanized_filesize,
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'thumbnail_src': thumb,
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'template': 'images.html',
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'resolution': f'{width} x {height}',
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}
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)
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return results
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return []
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