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https://github.com/searxng/searxng
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2499899554
Partial reverse engineering of the Google engines including a improved language and region handling based on the engine.traits_v1 data. When ever possible the implementations of the Google engines try to make use of the async REST APIs. The get_lang_info() has been generalized to a get_google_info() function / especially the region handling has been improved by adding the cr parameter. searx/data/engine_traits.json Add data type "traits_v1" generated by the fetch_traits() functions from: - Google (WEB), - Google images, - Google news, - Google scholar and - Google videos and remove data from obsolete data type "supported_languages". A traits.custom type that maps region codes to *supported_domains* is fetched from https://www.google.com/supported_domains searx/autocomplete.py: Reversed engineered autocomplete from Google WEB. Supports Google's languages and subdomains. The old API suggestqueries.google.com/complete has been replaced by the async REST API: https://{subdomain}/complete/search?{args} searx/engines/google.py Reverse engineering and extensive testing .. - fetch_traits(): Fetch languages & regions from Google properties. - always use the async REST API (formally known as 'use_mobile_ui') - use *supported_domains* from traits - improved the result list by fetching './/div[@data-content-feature]' and parsing the type of the various *content features* --> thumbnails are added searx/engines/google_images.py Reverse engineering and extensive testing .. - fetch_traits(): Fetch languages & regions from Google properties. - use *supported_domains* from traits - if exists, freshness_date is added to the result - issue 1864: result list has been improved a lot (due to the new cr parameter) searx/engines/google_news.py Reverse engineering and extensive testing .. - fetch_traits(): Fetch languages & regions from Google properties. *supported_domains* is not needed but a ceid list has been added. - different region handling compared to Google WEB - fixed for various languages & regions (due to the new ceid parameter) / avoid CONSENT page - Google News do no longer support time range - result list has been fixed: XPath of pub_date and pub_origin searx/engines/google_videos.py - fetch_traits(): Fetch languages & regions from Google properties. - use *supported_domains* from traits - add paging support - implement a async request ('asearch': 'arc' & 'async': 'use_ac:true,_fmt:html') - simplified code (thanks to '_fmt:html' request) - issue 1359: fixed xpath of video length data searx/engines/google_scholar.py - fetch_traits(): Fetch languages & regions from Google properties. - use *supported_domains* from traits - request(): include patents & citations - response(): fixed CAPTCHA detection (Scholar has its own CATCHA manager) - hardening XPath to iterate over results - fixed XPath of pub_type (has been change from gs_ct1 to gs_cgt2 class) - issue 1769 fixed: new request implementation is no longer incompatible Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
130 lines
3.6 KiB
Python
130 lines
3.6 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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# lint: pylint
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"""This is the implementation of the Google Images engine using the internal
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Google API used by the Google Go Android app.
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This internal API offer results in
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- JSON (``_fmt:json``)
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- Protobuf_ (``_fmt:pb``)
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- Protobuf_ compressed? (``_fmt:pc``)
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- HTML (``_fmt:html``)
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- Protobuf_ encoded in JSON (``_fmt:jspb``).
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.. _Protobuf: https://en.wikipedia.org/wiki/Protocol_Buffers
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"""
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from typing import TYPE_CHECKING
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from urllib.parse import urlencode
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from json import loads
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from searx.engines.google import fetch_traits # pylint: disable=unused-import
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from searx.engines.google import (
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get_google_info,
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time_range_dict,
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detect_google_sorry,
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)
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if TYPE_CHECKING:
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import logging
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from searx.enginelib.traits import EngineTraits
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logger: logging.Logger
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traits: EngineTraits
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# about
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about = {
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"website": 'https://images.google.com',
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"wikidata_id": 'Q521550',
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"official_api_documentation": 'https://developers.google.com/custom-search',
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"use_official_api": False,
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"require_api_key": False,
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"results": 'JSON',
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}
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# engine dependent config
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categories = ['images', 'web']
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paging = True
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time_range_support = True
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safesearch = True
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send_accept_language_header = True
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filter_mapping = {0: 'images', 1: 'active', 2: 'active'}
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def request(query, params):
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"""Google-Image search request"""
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google_info = get_google_info(params, traits)
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query_url = (
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'https://'
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+ google_info['subdomain']
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+ '/search'
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+ "?"
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+ urlencode(
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{
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'q': query,
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'tbm': "isch",
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**google_info['params'],
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'asearch': 'isch',
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'async': '_fmt:json,p:1,ijn:' + str(params['pageno']),
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}
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)
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)
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if params['time_range'] in time_range_dict:
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query_url += '&' + urlencode({'tbs': 'qdr:' + time_range_dict[params['time_range']]})
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if params['safesearch']:
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query_url += '&' + urlencode({'safe': filter_mapping[params['safesearch']]})
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params['url'] = query_url
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params['cookies'] = google_info['cookies']
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params['headers'].update(google_info['headers'])
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return params
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def response(resp):
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"""Get response from google's search request"""
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results = []
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detect_google_sorry(resp)
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json_start = resp.text.find('{"ischj":')
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json_data = loads(resp.text[json_start:])
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for item in json_data["ischj"]["metadata"]:
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result_item = {
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'url': item["result"]["referrer_url"],
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'title': item["result"]["page_title"],
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'content': item["text_in_grid"]["snippet"],
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'source': item["result"]["site_title"],
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'img_format': f'{item["original_image"]["width"]} x {item["original_image"]["height"]}',
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'img_src': item["original_image"]["url"],
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'thumbnail_src': item["thumbnail"]["url"],
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'template': 'images.html',
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}
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author = item["result"].get('iptc', {}).get('creator')
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if author:
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result_item['author'] = ', '.join(author)
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copyright_notice = item["result"].get('iptc', {}).get('copyright_notice')
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if copyright_notice:
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result_item['source'] += ' | ' + copyright_notice
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freshness_date = item["result"].get("freshness_date")
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if freshness_date:
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result_item['source'] += ' | ' + freshness_date
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file_size = item.get('gsa', {}).get('file_size')
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if file_size:
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result_item['source'] += ' (%s)' % file_size
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results.append(result_item)
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return results
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