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

..

index.rst

[doc] rearranges Settings & Engines docs for better readability

2023-07-01 22:45:19 +02:00

standalone_searx.py.rst

[docs] move searxng_extra/ stuff to the developer section.

2022-01-03 10:20:54 +01:00

update.rst

[mod] reduce memory footprint by not calling babel.Locale.parse at runtime

2024-02-20 10:43:20 +01:00