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* initial dev versioning detection
* Started on github commit query
* Added git based update checking
* Add versioning detection when not package
* FIX: Merge from main, start worker compat testing
* FIX: Catch timeout when calling GitHub API
* FEAT: Queuer/Worker version mismatch warning working
* Moved worker check to CLI queue cmd, better logging
* feat: Add setting to bypass worker compat check
- Fix notify function in helpers
- Fix `worker_use_win_terminal` setting
* docs: Update README
- Recommend pipx to deal with dependency conflicts
- Explain potential issues with running Python 3.6
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
The broker needs to be accessible by each computer over LAN.
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Install Redis on an always-on computer or server (nice and easy to run in a docker container):
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If you opt not to run Flower, keep in mind some non-essential CLI commands may not work.
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## Configuration
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On first run, you'll be prompted to alter your settings. The app will copy the default settings to `$XDG_HOME_CONFIG/resolve_proxy_encoder/user_settings.yml` (A hidden config folder in the local user's home folder).
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On first run, you'll be prompted to alter your settings. The app will copy the default settings to the OS user configuration folder.
All proxies will be encoded to this directory. They'll retain the source media's directory structure:
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celery_settings:
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result_expires: 60
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```
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Windows doesn't support preforking for concurrency. Actually, Celery doesn't officially support Windows anymore at all. Running workers on Mac Os, Linux or in Linux containers gets around this limitation. By default we encourage starting multiple workers as 'solo' instead. Change this as necessary to reduce overhead:
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Windows doesn't support preforking for concurrency. Actually, Celery doesn't officially support Windows anymore at all. Running workers on Mac, Linux or containerised gets around this limitation. By default the configuration encourages starting multiple workers processes as 'solo' to work with Windows. Change this as necessary to reduce overhead:
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