mirror of
https://github.com/searxng/searxng.git
synced 2026-09-23 14:46:04 +00:00
77d07c8743
We previously set the 'cookie' cookie value with a timestamp from 2024 to `yq=...`. The cookie is not actually used in Yandex, instead we probably wanted to set the `yq` cookie instead. But since the engine works without it, it can be dropped. Also simplifies the request method a bit to be easier to read.
142 lines
4.9 KiB
Python
142 lines
4.9 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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"""Yandex (Web, images)"""
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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 lxml import html
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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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"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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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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# Supported languages
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yandex_supported_langs = [
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"ru", # Russian
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"en", # English
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"be", # Belarusian
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"fr", # French
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"de", # German
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"id", # Indonesian
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"kk", # Kazakh
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"tt", # Tatar
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"tr", # Turkish
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"uk", # Ukrainian
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]
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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: "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: str, params: "OnlineParams") -> None:
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args: dict[str, t.Any] = {
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"text": query,
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}
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if params['pageno'] > 1:
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args["p"] = params["pageno"] - 1
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if search_type == 'web':
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lang = params["searxng_locale"].split("-")[0]
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if lang in yandex_supported_langs:
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args["lang"] = lang
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args.update(
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{
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"tmpl_version": "releases",
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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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)
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params['url'] = f"{base_url_web}?{urlencode(args)}"
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elif search_type == 'images':
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params['url'] = f"{base_url_images}?{urlencode(args)}"
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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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raise SearxEngineResponseException("failed to parse JSON data")
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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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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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# 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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# 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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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.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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return results
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