When a user selects an unknown or invalid locale by using the search syntax:
!qw siemens :de-TW
Before this patch a UnknownLocaleError exception will be rasied:
```
Traceback (most recent call last):
File "SearXNG/searx/search/processors/online.py", line 154, in search
search_results = self._search_basic(query, params)
File "SearXNG/searx/search/processors/online.py", line 128, in _search_basic
self.engine.request(query, params)
File "SearXNG/searx/engines/qwant.py", line 98, in request
q_locale = get_engine_locale(params['language'], supported_languages, default='en_US')
File "SearXNG/searx/locales.py", line 216, in get_engine_locale
locale = babel.Locale.parse(searxng_locale, sep='-')
File "SearXNG/local/py3/lib/python3.8/site-packages/babel/core.py", line 330, in parse
raise UnknownLocaleError(input_id)
```
This patch implements a simple exception handling, since e.g. `de-TW` does not
exists `de` will be used to get engines locale. On invalid terms like `xy-XY`
the default will be returned.
Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
The request function should not request a language (aka locale) that is not
supported by qwant. Select a locale like zh-TW ends in qwant's API error:
ERROR searx.engines.qwant news: exception : \
API error::locale must be one of the following values: \
en_gb, en_ie, en_us, en_ca, en_my, en_au, en_nz, de_de, de_ch, de_at, fr_fr, \
fr_be, fr_ch, fr_ca, fr_ad, fc_ca, co_fr, es_es, es_ar, es_cl, es_co, es_mx, \
es_pe, es_ad, ca_es, ca_ad, ca_fr, eu_es, eu_fr, it_it, it_ch, pt_pt, pt_ad, \
nl_be, nl_nl
The existing searx.utils.match_language function is unsuitable for this purpose,
it is replaced by function searx.locales.get_engine_locale that is based on the
methods from the babel package.
The quant's _fetch_supported_languages function has been revised to filter out
languages 8aka locales) not supported by qwant.
Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
The match_language function sometimes returns incorrect results which is why a
new function get_engine_locale is required.
A bugfix of the match_language is not easily possible, because there is almost
no documentation for it and already the call parameters are undefined. E.g. the
function processes values like the ones from yahoo::
"yahoo": [
"ar",
...
"zh_chs",
"zh_cht"
]
The get_engine_locale has been documented in detail, there is a clear
description of the assumptions as well as the requirements and approximation
rules (read doc-string for more details)::
Argument ``engine_locales`` is a python dict that maps *SearXNG locales* to
corresponding *engine locales*:
<engine>: {
# SearXNG string : engine-string
'ca-ES' : 'ca_ES',
'fr-BE' : 'fr_BE',
'fr-CA' : 'fr_CA',
'fr-CH' : 'fr_CH',
'fr' : 'fr_FR',
...
'pl-PL' : 'pl_PL',
'pt-PT' : 'pt_PT'
}
.. hint::
The *SearXNG locale* string has to be known by babel!
In the following you will find a comparison:
>>> import babel.languages
>>> from searx.utils import match_language
>>> from searx.locales import get_engine_locale
Assume we have an engine that supports the follwoing locales:
>>> lang_list = {
... "zh-CN": "zh_CN",
... "zh-HK": "zh_HK",
... "nl-BE": "nl_BE",
... "fr-CA": "fr_CA",
... }
Assumption:
A. When a user selects a language the results should be optimized according to
the selected language.
B. When user selects a language and a territory the results should be
optimized with first priority on territory and second on language.
----
Example: (Assumption A.)
A user selects region 'zh-TW' which should end in zh_HK
hint:
CN is 'Hans' and HK ('Hant') fits better to TW ('Hant')
>>> get_engine_locale('zh-TW', lang_list)
'zh_HK'
>>> lang_list[match_language('zh-TW', lang_list)]
'zh_CN'
----
Example: (Assumption A.)
A user selects only the language 'zh' which should end in CN
>>> get_engine_locale('zh', lang_list)
'zh_CN'
>>> lang_list[match_language('zh', lang_list)]
'zh_CN'
----
Example: (Assumption B.)
A user selects region 'fr-BE' which should end in nl-BE
hint:
priority should be on the territory the user selected. If the user
prefers 'fr' he will select 'fr' without a region tag.
>>> get_engine_locale('fr-BE', lang_list, default='unknown')
'nl_BE'
>>> match_language('fr-BE', lang_list, fallback='unknown')
'fr-CA'
----
Example: (Assumption A.)
A user selects only the language 'fr' which should end in fr_CA
>>> get_engine_locale('fr', lang_list)
'fr_CA'
>>> lang_list[match_language('fr', lang_list)]
'fr_CA'
----
The difference in priority on the territory is best shown with a engine that
supports the following locales:
>>> lang_list = {
... "fr-FR": "fr_FR",
... "fr-CA": "fr_CA",
... "en-GB": "en_GB",
... "nl-BE": "nl_BE",
... }
----
Example: (Assumption A.)
A user selects only a language
>>> get_engine_locale('en', lang_list)
'en_GB'
>>> match_language('en', lang_list)
'en-GB'
hint: the engine supports fr_FR and fr_CA since no territory is given, fr_FR
takes priority ..
>>> get_engine_locale('fr', lang_list)
'fr_FR'
>>> lang_list[match_language('fr', lang_list)]
'fr_FR'
----
Example: (Assumption B.)
A user selects region 'fr-BE' which should end in nl-BE
>>> get_engine_locale('fr-BE', lang_list)
'nl_BE'
>>> lang_list[match_language('fr-BE', lang_list)]
'fr_FR'
----
If the user selects a language and there are two locales like the following:
>>> lang_list = {
... "fr-BE": "fr_BE",
... "fr-CH": "fr_CH",
... }
>>>
>>> get_engine_locale('fr', lang_list)
'fr_BE'
>>> lang_list[match_language('fr', lang_list)]
'fr_BE'
Looks like both functions return the same value, but match_language depends on the
order of the dictionary (which is not predictable):
>>> lang_list = {
... "fr-CH": "fr_CH",
... "fr-BE": "fr_BE",
... }
>>> get_engine_locale('fr', lang_list)
'fr_BE'
>>> lang_list[match_language('fr', lang_list)]
'fr_CH'
>>>
The get_engine_locale selects the locale by looking at the "population percent"
and this percentage has an higher amount in BE (68.%) compared to CH (21%)
Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
By using new property `qwant_categ:` the category of qwant is no longer bound to
the category of SearXNG.
Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
Neeva is "the world's first ad-free, private search engine" and uses data from Apple, Bing, Yelp and "others".
They claim to crawl "hundreds of millions" of URLs a day (https://twitter.com/Neeva/status/1536447373903335426).
