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troubleshooting for #346

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jonaswinkler 2021-01-26 19:42:06 +01:00
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docs/troubleshooting.rst
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@ -30,9 +30,9 @@ Consumer fails to pickup any new files
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If you notice that the consumer will only pickup files in the consumption If you notice that the consumer will only pickup files in the consumption
directory at startup, but won't find any other files added later, check out directory at startup, but won't find any other files added later, you will need to
the configuration file and enable filesystem polling with the setting enable filesystem polling with the configuration option
``PAPERLESS_CONSUMER_POLLING``. ``PAPERLESS_CONSUMER_POLLING``, see :ref:`here <configuration-polling>`.
This will disable listening to filesystem changes with inotify and paperless will This will disable listening to filesystem changes with inotify and paperless will
manually check the consumption directory for changes instead. manually check the consumption directory for changes instead.
@ -64,6 +64,22 @@ This may have two reasons:
with Inbox tags. Verify that there are documents in your archive without inbox tags. with Inbox tags. Verify that there are documents in your archive without inbox tags.
The algorithm will only learn from documents not in your inbox. The algorithm will only learn from documents not in your inbox.
UserWarning in sklearn on every single document
###############################################
You may encounter warnings like this:
.. code::
/usr/local/lib/python3.7/site-packages/sklearn/base.py:315:
UserWarning: Trying to unpickle estimator CountVectorizer from version 0.23.2 when using version 0.24.0.
This might lead to breaking code or invalid results. Use at your own risk.
This happens when certain dependencies of paperless that are responsible for the auto matching algorithm are
updated. After updating these, your current training data *might* not be compatible anymore. This can be ignored
in most cases. If you want to get rid of the warning or actually experience issues with automatic matching, delete
the file ``classification_model.pickle`` in the data directory and let paperless recreate it.
Permission denied errors in the consumption directory Permission denied errors in the consumption directory
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