[fix] yandex: image result xpath + modernization (#6728)

This commit is contained in:
WookieeOnCrack
2026-09-16 08:38:32 +00:00
committed by GitHub
parent ca49650407
commit f725cc7936

View File

@@ -1,21 +1,27 @@
# SPDX-License-Identifier: AGPL-3.0-or-later
"""Yandex (Web, images)"""
from json import loads
import typing as t
from json import JSONDecodeError, loads
from urllib.parse import urlencode
from html import unescape
from lxml import html
from searx.exceptions import SearxEngineCaptchaException
from searx.utils import humanize_bytes, eval_xpath, eval_xpath_list, extract_text, extr
from searx.exceptions import SearxEngineCaptchaException, SearxEngineResponseException
from searx.result_types import EngineResults
from searx.utils import humanize_bytes, eval_xpath, eval_xpath_list, extract_text, html_to_text
if t.TYPE_CHECKING:
from searx import logger # logger is injected by searx.engines.set_loggers()
from searx.extended_types import SXNG_Response
from searx.search.processors import OnlineParams
# Engine metadata
about = {
"website": 'https://yandex.com/',
"wikidata_id": 'Q5281',
"website": "https://yandex.com/",
"wikidata_id": "Q5281",
"official_api_documentation": "?",
"use_official_api": False,
"require_api_key": False,
"results": 'HTML',
"results": "HTML",
}
# Engine configuration
@@ -25,8 +31,8 @@ enable_http3 = True
search_type = ""
# Search URL
base_url_web = 'https://yandex.com/search/site/'
base_url_images = 'https://yandex.com/images/search'
base_url_web = "https://yandex.com/search/site/"
base_url_images = "https://yandex.com/images/search"
# Supported languages
yandex_supported_langs = [
@@ -48,12 +54,12 @@ title_xpath = './/h3[@class="b-serp-item__title"]/a[@class="b-serp-item__title-l
content_xpath = './/div[@class="b-serp-item__content"]//div[@class="b-serp-item__text"]'
def catch_bad_response(resp):
if resp.headers.get('x-yandex-captcha') == 'captcha':
def catch_bad_response(resp: "SXNG_Response") -> None:
if resp.headers.get("x-yandex-captcha") == "captcha":
raise SearxEngineCaptchaException()
def request(query, params):
def request(query: str, params: "OnlineParams") -> None:
query_params_web = {
"tmpl_version": "releases",
"text": query,
@@ -62,7 +68,7 @@ def request(query, params):
"searchid": "3131712",
}
lang = params["language"].split("-")[0]
lang = params["language"].split("-")[0] # type: ignore
if lang in yandex_supported_langs:
query_params_web["lang"] = lang
@@ -71,82 +77,70 @@ def request(query, params):
"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})
if params["pageno"] > 1:
query_params_web["p"] = params["pageno"] - 1 # type: ignore
query_params_images["p"] = params["pageno"] - 1 # type: ignore
params["cookies"] = {'cookie': "yp=1716337604.sp.family%3A0#1685406411.szm.1:1920x1080:1920x999"}
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 params
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)}"
def response(resp):
if search_type == 'web':
catch_bad_response(resp)
def _parse_json_results(dom: html.HtmlElement) -> dict[str, t.Any]:
# attempt to parse using xpath - finding element with "data-state" attribute
data_elements = dom.xpath("//*[@data-state]/@data-state")
for json_data in data_elements:
try:
json_resp = loads(json_data)
if json_resp.get("location") == "/images/search/":
return json_resp
except JSONDecodeError:
logger.debug("failed parsing data-state json")
dom = html.fromstring(resp.text)
raise SearxEngineResponseException("failed to parse JSON data")
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)),
}
)
def response(resp: "SXNG_Response") -> EngineResults:
catch_bad_response(resp)
results = EngineResults()
dom = html.fromstring(resp.text)
return results
match search_type:
case "web":
for result in eval_xpath_list(dom, results_xpath):
url = extract_text(eval_xpath(result, url_xpath))
title = extract_text(eval_xpath(result, title_xpath))
content = extract_text(eval_xpath(result, content_xpath))
results.add(results.types.MainResult(url=url, title=str(title), content=str(content)))
case "images":
json_resp = _parse_json_results(dom)
if search_type == 'images':
catch_bad_response(resp)
# build results from loaded json values
for item_data in json_resp["initialState"]["serpList"]["items"]["entities"].values():
viewerData: dict[str, t.Any] = item_data["viewerData"]
snippet: dict[str, str] = viewerData.get("snippet", {})
html_data = html.fromstring(resp.text)
html_sample = unescape(html.tostring(html_data, encoding='unicode'))
# return the image with largest dimensions
image_sources = viewerData.get("dups", []) + viewerData.get("preview", [])
image_source = max(image_sources, key=lambda x: x["h"] * x["w"])
content_between_tags = extr(
html_sample, '{"location":"/images/search/', 'advRsyaSearchColumn":null}}', default="fail"
)
json_data = '{"location":"/images/search/' + content_between_tags + 'advRsyaSearchColumn":null}}'
humanized_filesize = None
if image_source.get("fileSizeInBytes"):
humanized_filesize = humanize_bytes(image_source["fileSizeInBytes"])
if content_between_tags == "fail":
content_between_tags = extr(html_sample, '{"location":"/images/search/', 'false}}}')
json_data = '{"location":"/images/search/' + content_between_tags + 'false}}}'
results.add(
results.types.Image(
title=snippet.get("title"), # type: ignore
content=html_to_text(snippet.get("text")), # type: ignore
url=snippet.get("url"),
img_src=image_source["url"],
filesize=humanized_filesize, # type: ignore
thumbnail_src=item_data["image"],
resolution=f"{image_source['w']} x {image_source['h']}",
)
)
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']
image_source = item_data["viewerData"]["thumb"]
for i in item_data['viewerData']['dups'] + item_data['viewerData']['preview']:
if i["h"] > image_source["h"]:
image_source = i
humanized_filesize = None
if image_source.get("fileSizeInBytes"):
humanized_filesize = humanize_bytes(image_source["fileSizeInBytes"])
results.append(
{
'title': title,
'url': source,
'img_src': image_source["url"],
'filesize': humanized_filesize,
'thumbnail_src': item_data["image"],
'template': 'images.html',
'resolution': f'{image_source["w"]} x {image_source["h"]}',
}
)
return results
return []
return results