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# SPDX-License-Identifier: AGPL-3.0-or-later
"""This is the implementation of the Google Videos engine.
.. admonition:: Content-Security-Policy (CSP)
This engine needs to allow images from the `data URLs`_ (prefixed with the
``data:`` scheme)::
Header set Content-Security-Policy "img-src 'self' data: ;"
.. _data URLs:
https://developer.mozilla.org/en-US/docs/Web/HTTP/Basics_of_HTTP/Data_URIs
"""
from __future__ import annotations
from urllib.parse import urlencode, urlparse, parse_qs
from lxml import html
from searx.utils import (
eval_xpath_list,
eval_xpath_getindex,
extract_text,
)
from searx.engines.google import fetch_traits # pylint: disable=unused-import
from searx.engines.google import (
get_google_info,
time_range_dict,
filter_mapping,
suggestion_xpath,
detect_google_sorry,
ui_async,
parse_data_images,
)
from searx.utils import get_embeded_stream_url
# about
about = {
"website": 'https://www.google.com',
"wikidata_id": 'Q219885',
"official_api_documentation": 'https://developers.google.com/custom-search',
"use_official_api": False,
"require_api_key": False,
"results": 'HTML',
}
# engine dependent config
categories = ['videos', 'web']
paging = True
max_page = 50
language_support = True
time_range_support = True
safesearch = True
def request(query, params):
"""Google-Video search request"""
google_info = get_google_info(params, traits)
start = (params['pageno'] - 1) * 10
query_url = (
'https://'
+ google_info['subdomain']
+ '/search'
+ "?"
+ urlencode(
{
'q': query,
'tbm': "vid",
'start': start,
**google_info['params'],
'asearch': 'arc',
'async': ui_async(start),
}
)
)
if params['time_range'] in time_range_dict:
query_url += '&' + urlencode({'tbs': 'qdr:' + time_range_dict[params['time_range']]})
if 'safesearch' in params:
query_url += '&' + urlencode({'safe': filter_mapping[params['safesearch']]})
params['url'] = query_url
params['cookies'] = google_info['cookies']
params['headers'].update(google_info['headers'])
return params
def response(resp):
"""Get response from google's search request"""
results = []
detect_google_sorry(resp)
data_image_map = parse_data_images(resp.text)
# convert the text to dom
dom = html.fromstring(resp.text)
result_divs = eval_xpath_list(dom, '//div[contains(@class, "MjjYud")]')
# parse results
for result in result_divs:
title = extract_text(
eval_xpath_getindex(result, './/h3[contains(@class, "LC20lb")]', 0, default=None), allow_none=True
)
url = eval_xpath_getindex(result, './/a[@jsname="UWckNb"]/@href', 0, default=None)
content = extract_text(
eval_xpath_getindex(result, './/div[contains(@class, "ITZIwc")]', 0, default=None), allow_none=True
)
pub_info = extract_text(
eval_xpath_getindex(result, './/div[contains(@class, "gqF9jc")]', 0, default=None), allow_none=True
)
# Broader XPath to find any <img> element
thumbnail = eval_xpath_getindex(result, './/img/@src', 0, default=None)
duration = extract_text(
eval_xpath_getindex(result, './/span[contains(@class, "k1U36b")]', 0, default=None), allow_none=True
)
video_id = eval_xpath_getindex(result, './/div[@jscontroller="rTuANe"]/@data-vid', 0, default=None)
# Fallback for video_id from URL if not found via XPath
if not video_id and url and 'youtube.com' in url:
parsed_url = urlparse(url)
video_id = parse_qs(parsed_url.query).get('v', [None])[0]
# Handle thumbnail
if thumbnail and thumbnail.startswith('data:image'):
img_id = eval_xpath_getindex(result, './/img/@id', 0, default=None)
if img_id and img_id in data_image_map:
thumbnail = data_image_map[img_id]
else:
thumbnail = None
if not thumbnail and video_id:
thumbnail = f"https://img.youtube.com/vi/{video_id}/hqdefault.jpg"
# Handle video embed URL
embed_url = None
if video_id:
embed_url = get_embeded_stream_url(f"https://www.youtube.com/watch?v={video_id}")
elif url:
embed_url = get_embeded_stream_url(url)
# Only append results with valid title and url
if title and url:
results.append(
{
'url': url,
'title': title,
'content': content or '',
'author': pub_info,
'thumbnail': thumbnail,
'length': duration,
'iframe_src': embed_url,
'template': 'videos.html',
}
)
# parse suggestion
for suggestion in eval_xpath_list(dom, suggestion_xpath):
results.append({'suggestion': extract_text(suggestion)})
return results
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