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searxng/searx/engines/google_images.py
Markus Heiser 2499899554 [mod] Google: reversed engineered & upgrade to data_type: traits_v1
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  The old API suggestqueries.google.com/complete has been replaced
  by the async REST API: https://{subdomain}/complete/search?{args}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>
2023-03-24 10:37:42 +01:00

130 lines
3.6 KiB
Python

# SPDX-License-Identifier: AGPL-3.0-or-later
# lint: pylint
"""This is the implementation of the Google Images engine using the internal
Google API used by the Google Go Android app.
This internal API offer results in
- JSON (``_fmt:json``)
- Protobuf_ (``_fmt:pb``)
- Protobuf_ compressed? (``_fmt:pc``)
- HTML (``_fmt:html``)
- Protobuf_ encoded in JSON (``_fmt:jspb``).
.. _Protobuf: https://en.wikipedia.org/wiki/Protocol_Buffers
"""
from typing import TYPE_CHECKING
from urllib.parse import urlencode
from json import loads
from searx.engines.google import fetch_traits # pylint: disable=unused-import
from searx.engines.google import (
get_google_info,
time_range_dict,
detect_google_sorry,
)
if TYPE_CHECKING:
import logging
from searx.enginelib.traits import EngineTraits
logger: logging.Logger
traits: EngineTraits
# about
about = {
"website": 'https://images.google.com',
"wikidata_id": 'Q521550',
"official_api_documentation": 'https://developers.google.com/custom-search',
"use_official_api": False,
"require_api_key": False,
"results": 'JSON',
}
# engine dependent config
categories = ['images', 'web']
paging = True
time_range_support = True
safesearch = True
send_accept_language_header = True
filter_mapping = {0: 'images', 1: 'active', 2: 'active'}
def request(query, params):
"""Google-Image search request"""
google_info = get_google_info(params, traits)
query_url = (
'https://'
+ google_info['subdomain']
+ '/search'
+ "?"
+ urlencode(
{
'q': query,
'tbm': "isch",
**google_info['params'],
'asearch': 'isch',
'async': '_fmt:json,p:1,ijn:' + str(params['pageno']),
}
)
)
if params['time_range'] in time_range_dict:
query_url += '&' + urlencode({'tbs': 'qdr:' + time_range_dict[params['time_range']]})
if params['safesearch']:
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)
json_start = resp.text.find('{"ischj":')
json_data = loads(resp.text[json_start:])
for item in json_data["ischj"]["metadata"]:
result_item = {
'url': item["result"]["referrer_url"],
'title': item["result"]["page_title"],
'content': item["text_in_grid"]["snippet"],
'source': item["result"]["site_title"],
'img_format': f'{item["original_image"]["width"]} x {item["original_image"]["height"]}',
'img_src': item["original_image"]["url"],
'thumbnail_src': item["thumbnail"]["url"],
'template': 'images.html',
}
author = item["result"].get('iptc', {}).get('creator')
if author:
result_item['author'] = ', '.join(author)
copyright_notice = item["result"].get('iptc', {}).get('copyright_notice')
if copyright_notice:
result_item['source'] += ' | ' + copyright_notice
freshness_date = item["result"].get("freshness_date")
if freshness_date:
result_item['source'] += ' | ' + freshness_date
file_size = item.get('gsa', {}).get('file_size')
if file_size:
result_item['source'] += ' (%s)' % file_size
results.append(result_item)
return results