Alexandre Flament ed66ed758d [mod] reduce memory footprint by not calling babel.Locale.parse at runtime ... babel.Locale.parse loads more than 60MB in RAM. The only purpose is to get: LOCALE_NAMES - searx.data.LOCALES["LOCALE_NAMES"] RTL_LOCALES - searx.data.LOCALES["RTL_LOCALES"] This commit calls babel.Locale.parse when the translations are update from weblate and stored in:: searx/data/locales.json This file can be build by:: ./manage data.locales By store these variables in searx.data when the translations are updated we save round about 65MB (usually 4 worker = 260MB of RAM saved. Suggested-by: https://github.com/searxng/searxng/discussions/2633#discussioncomment-8490494 Co-authored-by: Markus Heiser <markus.heiser@darmarit.de>		2024-02-20 10:43:20 +01:00
..
update	[mod] reduce memory footprint by not calling babel.Locale.parse at runtime	2024-02-20 10:43:20 +01:00
__init__.py	SearXNG: searxng_extra	2021-10-02 17:30:39 +02:00
docs_prebuild	[fix] spelling	2023-09-18 16:20:27 +02:00
standalone_searx.py	[fix] make flask_babel.gettext() work in engine modules (L10n & threads)	2023-08-09 13:27:43 +02:00