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https://github.com/searxng/searxng.git
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[fix] yandex: image result xpath + modernization (#6728)
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@@ -1,21 +1,27 @@
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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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import typing as t
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from json import JSONDecodeError, 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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from searx.exceptions import SearxEngineCaptchaException, SearxEngineResponseException
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from searx.result_types import EngineResults
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from searx.utils import humanize_bytes, eval_xpath, eval_xpath_list, extract_text, html_to_text
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if t.TYPE_CHECKING:
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from searx import logger # logger is injected by searx.engines.set_loggers()
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from searx.extended_types import SXNG_Response
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from searx.search.processors import OnlineParams
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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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"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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"results": "HTML",
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}
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# Engine configuration
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@@ -25,8 +31,8 @@ enable_http3 = 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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base_url_web = "https://yandex.com/search/site/"
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base_url_images = "https://yandex.com/images/search"
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# Supported languages
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yandex_supported_langs = [
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@@ -48,12 +54,12 @@ title_xpath = './/h3[@class="b-serp-item__title"]/a[@class="b-serp-item__title-l
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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.headers.get('x-yandex-captcha') == 'captcha':
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def catch_bad_response(resp: "SXNG_Response") -> None:
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if resp.headers.get("x-yandex-captcha") == "captcha":
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raise SearxEngineCaptchaException()
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def request(query, params):
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def request(query: str, params: "OnlineParams") -> None:
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query_params_web = {
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"tmpl_version": "releases",
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"text": query,
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@@ -62,7 +68,7 @@ def request(query, params):
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"searchid": "3131712",
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}
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lang = params["language"].split("-")[0]
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lang = params["language"].split("-")[0] # type: ignore
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if lang in yandex_supported_langs:
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query_params_web["lang"] = lang
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@@ -71,82 +77,70 @@ def request(query, params):
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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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if params["pageno"] > 1:
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query_params_web["p"] = params["pageno"] - 1 # type: ignore
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query_params_images["p"] = params["pageno"] - 1 # type: ignore
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params["cookies"] = {'cookie': "yp=1716337604.sp.family%3A0#1685406411.szm.1:1920x1080:1920x999"}
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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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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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def response(resp):
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if search_type == 'web':
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catch_bad_response(resp)
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def _parse_json_results(dom: html.HtmlElement) -> dict[str, t.Any]:
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# attempt to parse using xpath - finding element with "data-state" attribute
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data_elements = dom.xpath("//*[@data-state]/@data-state")
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for json_data in data_elements:
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try:
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json_resp = loads(json_data)
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if json_resp.get("location") == "/images/search/":
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return json_resp
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except JSONDecodeError:
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logger.debug("failed parsing data-state json")
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dom = html.fromstring(resp.text)
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raise SearxEngineResponseException("failed to parse JSON data")
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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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def response(resp: "SXNG_Response") -> EngineResults:
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catch_bad_response(resp)
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results = EngineResults()
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dom = html.fromstring(resp.text)
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return results
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match search_type:
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case "web":
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for result in eval_xpath_list(dom, results_xpath):
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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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results.add(results.types.MainResult(url=url, title=str(title), content=str(content)))
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case "images":
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json_resp = _parse_json_results(dom)
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if search_type == 'images':
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catch_bad_response(resp)
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# build results from loaded json values
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for item_data in json_resp["initialState"]["serpList"]["items"]["entities"].values():
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viewerData: dict[str, t.Any] = item_data["viewerData"]
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snippet: dict[str, str] = viewerData.get("snippet", {})
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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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# return the image with largest dimensions
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image_sources = viewerData.get("dups", []) + viewerData.get("preview", [])
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image_source = max(image_sources, key=lambda x: x["h"] * x["w"])
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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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humanized_filesize = None
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if image_source.get("fileSizeInBytes"):
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humanized_filesize = humanize_bytes(image_source["fileSizeInBytes"])
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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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results.add(
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results.types.Image(
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title=snippet.get("title"), # type: ignore
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content=html_to_text(snippet.get("text")), # type: ignore
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url=snippet.get("url"),
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img_src=image_source["url"],
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filesize=humanized_filesize, # type: ignore
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thumbnail_src=item_data["image"],
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resolution=f"{image_source['w']} x {image_source['h']}",
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)
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)
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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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image_source = item_data["viewerData"]["thumb"]
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for i in item_data['viewerData']['dups'] + item_data['viewerData']['preview']:
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if i["h"] > image_source["h"]:
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image_source = i
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humanized_filesize = None
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if image_source.get("fileSizeInBytes"):
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humanized_filesize = humanize_bytes(image_source["fileSizeInBytes"])
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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': image_source["url"],
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'filesize': humanized_filesize,
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'thumbnail_src': item_data["image"],
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'template': 'images.html',
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'resolution': f'{image_source["w"]} x {image_source["h"]}',
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}
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)
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return results
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return []
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return results
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