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