apply doc changes from prettier config change
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@@ -4,27 +4,27 @@
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Check for the following issues:
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- Ensure that the directory you're putting your documents in is the
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folder paperless is watching. With docker, this setting is performed
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in the `docker-compose.yml` file. Without Docker, look at the
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`CONSUMPTION_DIR` setting. Don't adjust this setting if you're
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using docker.
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- Ensure that the directory you're putting your documents in is the
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folder paperless is watching. With docker, this setting is performed
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in the `docker-compose.yml` file. Without Docker, look at the
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`CONSUMPTION_DIR` setting. Don't adjust this setting if you're
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using docker.
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- Ensure that redis is up and running. Paperless does its task
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processing asynchronously, and for documents to arrive at the task
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processor, it needs redis to run.
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- Ensure that redis is up and running. Paperless does its task
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processing asynchronously, and for documents to arrive at the task
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processor, it needs redis to run.
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- Ensure that the task processor is running. Docker does this
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automatically. Manually invoke the task processor by executing
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- Ensure that the task processor is running. Docker does this
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automatically. Manually invoke the task processor by executing
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```shell-session
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$ celery --app paperless worker
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```
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```shell-session
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$ celery --app paperless worker
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```
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- Look at the output of paperless and inspect it for any errors.
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- Look at the output of paperless and inspect it for any errors.
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- Go to the admin interface, and check if there are failed tasks. If
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so, the tasks will contain an error message.
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- Go to the admin interface, and check if there are failed tasks. If
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so, the tasks will contain an error message.
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## Consumer warns `OCR for XX failed`
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@@ -78,12 +78,12 @@ Ensure that `chown` is possible on these directories.
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This indicates that the Auto matching algorithm found no documents to
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learn from. This may have two reasons:
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- You don't use the Auto matching algorithm: The error can be safely
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ignored in this case.
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- You are using the Auto matching algorithm: The classifier explicitly
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excludes documents with Inbox tags. Verify that there are documents
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in your archive without inbox tags. The algorithm will only learn
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from documents not in your inbox.
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- You don't use the Auto matching algorithm: The error can be safely
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ignored in this case.
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- You are using the Auto matching algorithm: The classifier explicitly
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excludes documents with Inbox tags. Verify that there are documents
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in your archive without inbox tags. The algorithm will only learn
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from documents not in your inbox.
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## UserWarning in sklearn on every single document
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