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path: root/searxng_extra/update/update_locales.py
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2025-09-03[mod] drop: from __future__ import annotationsMarkus Heiser
Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
2024-11-24[chore] *: fix typos detected by typos-cliBnyro
2024-03-11[mod] pylint all files with one profile / drop PYLINT_SEARXNG_DISABLE_OPTIONMarkus Heiser
In the past, some files were tested with the standard profile, others with a profile in which most of the messages were switched off ... some files were not checked at all. - ``PYLINT_SEARXNG_DISABLE_OPTION`` has been abolished - the distinction ``# lint: pylint`` is no longer necessary - the pylint tasks have been reduced from three to two 1. ./searx/engines -> lint engines with additional builtins 2. ./searx ./searxng_extra ./tests -> lint all other python files Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
2024-03-10[mod] comprehensive revision of the searxng_extra/update/ scriptsMarkus Heiser
- pylint all scripts - fix some errors reported by pyright - from searx.data import data_dir (Path.open) - fix import from pygments.formatters.html NOTE: none functional changes! Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
2024-02-20[fix] sort RTL_LOCALES before written into locales.jsonMarkus Heiser
To avoid unnecessary changes to the file, the list should be sorted before it is written to the file. You can test it by calling multiple times:: make data.locales and searx/data/locales.json should be unchanged. Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
2024-02-20[mod] reduce memory footprint by not calling babel.Locale.parse at runtimeAlexandre Flament
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>