* fix type in settings.yml: replace suspend_times by suspended_times
* always use delay defined in settings.yml:
* HTTP status 402 and 403: read the value from settings.yml instead of using the hardcoded value of 1 day.
* startpage engine: CAPTCHA suspend the engine for one day instead of one week
Make suspended_time changeable in settings.yml
Allow different values to be set for different exceptions.
Co-authored-by: Alexandre Flament <alex@al-f.net>
- Add documentation to the plugin
- Harmonize FastText language model with SearXNG's language model
Reosurces::
import fasttext # --> +10 MB
fasttext.load_model(str(data_dir / 'lid.176.ftz')) # --> +4MB
Suggested-by: @dalf
- To speed up and simplify the deployment use fasttext-wheel instead of fasttext
- Building numpy on the Alpine Linux of docker-images takes ages --> install
py3-numpy from Alpines package manager (apk)
- Alpine Linux on docker-images (musl libc) do not support fasttext-wheel (gnu
libc) --> patch Dockerfile and build from fastetxt:
sed -i s/fasttext-wheel/fasttext/ requirements.txt
Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
settings.yml:
* The default URL was unix:///usr/local/searxng-redis/run/redis.sock?db=0
* The default URL is now "false"
The default URL makes the log difficult to deal with:
if the admin didn't install a Redis instance, the logs record a false error.
It worked before because SearXNG initialized the Redis connection when the limiter started.
In this commit, SearXNG initializes Redis in searx/webapp.py
so various components can use Redis without taking care of the initialization step.
no_result_for_http_status contains a list of HTTP status.
These HTTP status are seen an empty result list.
In other cases an exception is thrown as usual.
Previously raise_for_httperror were ignoring all HTTP error,
which make defective engines invisible in the stats.
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).
This implements the Deepl Translation engine. It works nearly like lingva but
directly to the deepl API. This api only needs a to-lang, from-lang is a fake
by now.
There is a free option to use [1].
[1] https://www.deepl.com/pro-api?cta=header-pro-api for registering a free account.
