NAME

       datalad wtf - generate a report about the DataLad installation and configuration

SYNOPSIS

       datalad wtf [-h] [-d DATASET] [-s {some|all}] [-S SECTION] [-D DECOR] [-c]

DESCRIPTION

       IMPORTANT:  Sharing  this  report  with untrusted parties (e.g. on the web) should be done
       with care, as it may include identifying information, and/or credentials or access tokens.

OPTIONS

       -h, -\-help, -\-help-np
              show this help message. --help-np forcefully  disables  the  use  of  a  pager  for
              displaying the help message

       -d DATASET, -\-dataset DATASET
              "specify  the  dataset  to  report  on.  no dataset is given, an attempt is made to
              identify the dataset based on the current  working  directory.  Constraints:  Value
              must be a Dataset or a valid identifier of a Dataset (e.g. a path)

       -s {some|all}, -\-sensitive {some|all}
              if  set  to  'some'  or 'all', it will display sections such as config and metadata
              which could potentially contain sensitive information (credentials,  names,  etc.).
              If  'some',  the  fields  which are known to be sensitive will still be masked out.
              Constraints: value must be one of (None, 'some', 'all')

       -S SECTION, -\-section SECTION
              section to include. If not set, all sections. This option  can  be  given  multiple
              times.  Constraints:  value  must be one of ('configuration', 'datalad', 'dataset',
              'dependencies',    'environment',    'extensions',     'git-annex',     'location',
              'metadata_extractors', 'python', 'system')

       -D DECOR, -\-decor DECOR
              decoration  around  the rendering to facilitate embedding into issues etc, e.g. use
              'html_details' for posting collapsable entry to GitHub issues.  Constraints:  value
              must be one of ('html_details',)

       -c, -\-clipboard
              if set, do not print but copy to clipboard (requires pyperclip module).

AUTHORS

        datalad is developed by The DataLad Team and Contributors <team@datalad.org>.