Provided by: datalad_1.1.0-1_all 
NAME
datalad wtf - generate a report about the DataLad installation and configuration
SYNOPSIS
datalad wtf [-h] [-d DATASET] [-s {some|all}] [-S SECTION] [--flavor {full|short}] [-D {html_details}]
[-c] [--version]
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) or value must be NONE
-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 ('some',
'all')
-S SECTION, --section SECTION
section to include. If not set - depends on flavor. '*' could be used to force all sections. If
there are subsections like section.subsection available, then specifying just 'section' would
select all subsections for that section. This option can be given multiple times. Constraints:
value must be one of ('configuration', 'credentials', 'datalad', 'dataset', 'dependencies',
'environment', 'extensions', 'git-annex', 'location', 'metadata', 'metadata.extractors',
'metadata.filters', 'metadata.indexers', 'python', 'system', '*')
--flavor {full|short}
Flavor of WTF. 'full' would produce markdown with exhaustive list of sections. 'short' will
provide a condensed summary only of datalad and dependencies by default. Use --section to list
other sections. Constraints: value must be one of ('full', 'short') [Default: 'full']
-D {html_details}, --decor {html_details}
decoration around the rendering to facilitate embedding into issues etc, e.g. use 'html_details'
for posting collapsible 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).
--version
show the module and its version which provides the command
AUTHORS
datalad is developed by The DataLad Team and Contributors <team@datalad.org>.