- Feb 21, 2020
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Jean-Sébastien Caux authored
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- Jan 19, 2020
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Jean-Sébastien Caux authored
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- Nov 18, 2019
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Jean-Sébastien Caux authored
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- Nov 17, 2019
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Jean-Sébastien Caux authored
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- Jun 27, 2019
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Jean-Sébastien Caux authored
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- Jun 11, 2019
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Jean-Sébastien Caux authored
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- Jun 09, 2019
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Jean-Sébastien Caux authored
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- Jun 08, 2019
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Jean-Sébastien Caux authored
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- May 18, 2019
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Jean-Sébastien Caux authored
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Jean-Sébastien Caux authored
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- May 13, 2019
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Jean-Sébastien Caux authored
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- May 12, 2019
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Jean-Sébastien Caux authored
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Jean-Sébastien Caux authored
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Jean-Sébastien Caux authored
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- May 11, 2019
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Jean-Sébastien Caux authored
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Jean-Sébastien Caux authored
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- May 04, 2019
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Jean-Sébastien Caux authored
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Jean-Sébastien Caux authored
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Jean-Sébastien Caux authored
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Jean-Sébastien Caux authored
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- Apr 04, 2019
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Jean-Sébastien Caux authored
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- Mar 30, 2019
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Jean-Sébastien Caux authored
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- Mar 28, 2019
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Jorran de Wit authored
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- Mar 25, 2019
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Jorran de Wit authored
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- Mar 19, 2019
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Jean-Sébastien Caux authored
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- Mar 18, 2019
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Jean-Sébastien Caux authored
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- Mar 08, 2019
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Jean-Sébastien Caux authored
Problem with django-docutils (and thus abandoned here): When calling the filter, the app used ``return parts['fragments']`` which cut the first headlines from the text input. The correct call is ``return parts['html_body']``, as implemented in the new self-made filter.
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Jean-Sébastien Caux authored
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- Mar 05, 2019
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Jean-Sébastien Caux authored
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- Mar 02, 2019
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Jean-Sébastien Caux authored
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- Feb 22, 2019
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Jean-Sébastien Caux authored
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- Feb 20, 2019
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Jorran de Wit authored
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- Jan 29, 2019
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Jorran de Wit authored
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- Nov 13, 2018
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Jorran de Wit authored
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- Oct 28, 2018
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Jorran de Wit authored
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- Sep 26, 2018
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Jorran de Wit authored
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- Sep 23, 2018
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Jean-Sébastien Caux authored
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- Aug 06, 2018
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Jorran de Wit authored
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- Jun 14, 2018
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Boris Ponsioen authored
On staging, everything is started by running ~/start_celery.sh - should work now for testing.
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- Jun 12, 2018
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Boris Ponsioen authored
Note that as of now, it requires 3 services (to do with Celery) to run: celery -A SciPost_v1 worker --loglevel=info -E celery -A SciPost_v1 beat --loglevel=info --scheduler django_celery_beat.schedulers:DatabaseScheduler And optionally (for using the 'flower' console for monitoring tasks - might not use this after all): celery -A SciPost_v1 flower Additionally, the 'rabbitMQ' broker needs to be installed - working on it on the staging at the moment. I will add this in some proper config/readme later.
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