datalad.api.get

datalad.api.get(path=None, source=None, dataset=None, recursive=False, recursion_limit=None, get_data=True, description=None, reckless=None, jobs='auto')

Get any dataset content (files/directories/subdatasets).

This command only operates on dataset content. To obtain a new independent dataset from some source use the install command.

By default this command operates recursively within a dataset, but not across potential subdatasets, i.e. if a directory is provided, all files in the directory are obtained. Recursion into subdatasets is supported too. If enabled, relevant subdatasets are detected and installed in order to fulfill a request.

Known data locations for each requested file are evaluated and data are obtained from some available location (according to git-annex configuration and possibly assigned remote priorities), unless a specific source is specified.

Note

Power-user info: This command uses git annex get to fulfill file handles.

Examples

Get a single file:

> get('path/to/file')

Get contents of a directory:

> get('path/to/dir/')

Get all contents of the current dataset and its subdatasets:

> get(dataset='.', recursive=True)

Get (clone) a registered subdataset, but don’t retrieve data:

> get('path/to/subds', get_data=False)
Parameters:
  • path (sequence of str or None, optional) – path/name of the requested dataset component. The component must already be known to a dataset. To add new components to a dataset use the add command. [Default: None]
  • source (str or None, optional) – label of the data source to be used to fulfill requests. This can be the name of a dataset sibling or another known source. [Default: None]
  • dataset (Dataset or None, optional) – specify the dataset to perform the add operation on, in which case path arguments are interpreted as being relative to this dataset. If no dataset is given, an attempt is made to identify a dataset for each input path. [Default: None]
  • recursive (bool, optional) – if set, recurse into potential subdataset. [Default: False]
  • recursion_limit (int or {'existing'} or None, optional) – limit recursion into subdataset to the given number of levels. Alternatively, ‘existing’ will limit recursion to subdatasets that already existed on the filesystem at the start of processing, and prevent new subdatasets from being obtained recursively. [Default: None]
  • get_data (bool, optional) – whether to obtain data for all file handles. If disabled, get operations are limited to dataset handles. [Default: True]
  • description (str or None, optional) – short description to use for a dataset location. Its primary purpose is to help humans to identify a dataset copy (e.g., “mike’s dataset on lab server”). Note that when a dataset is published, this information becomes available on the remote side. [Default: None]
  • reckless ({None, True, False, 'auto', 'ephemeral'} or shared-..., optional) – set up the dataset in a potentially unsafe way for performance, or access reasons – use with care, any dataset is marked as ‘untrusted’. The reckless mode is stored in a dataset’s local configuration under ‘datalad.clone.reckless’, and will be inherited to any of its subdatasets. Supported modes are: [‘auto’]: hard-link files between local clones. In-place modification in any clone will alter original annex content. [‘ephemeral’]: symlink annex to origin’s annex and discard local availability info via git-annex- dead ‘here’. Shares an annex between origin and clone w/o git-annex being aware of it. In case of a change in origin you need to update the clone before you’re able to save new content on your end. Alternative to ‘auto’ when hardlinks are not an option, or number of consumed inodes needs to be minimized. [‘shared-<mode>’]: set up repository and annex permission to enable multi-user access. This disables the standard write protection of annex’ed files. <mode> can be any value support by ‘git init –shared=’, such as ‘group’, or ‘all’. [Default: None]
  • jobs (int or None or {'auto'}, optional) – how many parallel jobs (where possible) to use. “auto” corresponds to the number defined by ‘datalad.runtime.max-annex-jobs’ configuration item. [Default: ‘auto’]
  • on_failure ({'ignore', 'continue', 'stop'}, optional) – behavior to perform on failure: ‘ignore’ any failure is reported, but does not cause an exception; ‘continue’ if any failure occurs an exception will be raised at the end, but processing other actions will continue for as long as possible; ‘stop’: processing will stop on first failure and an exception is raised. A failure is any result with status ‘impossible’ or ‘error’. Raised exception is an IncompleteResultsError that carries the result dictionaries of the failures in its failed attribute. [Default: ‘continue’]
  • result_filter (callable or None, optional) – if given, each to-be-returned status dictionary is passed to this callable, and is only returned if the callable’s return value does not evaluate to False or a ValueError exception is raised. If the given callable supports **kwargs it will additionally be passed the keyword arguments of the original API call. [Default: None]
  • result_renderer ({'default', 'json', 'json_pp', 'tailored'} or None, optional) – format of return value rendering on stdout. [Default: None]
  • result_xfm ({'datasets', 'successdatasets-or-none', 'paths', 'relpaths', 'metadata'} or callable or None, optional) – if given, each to-be-returned result status dictionary is passed to this callable, and its return value becomes the result instead. This is different from result_filter, as it can perform arbitrary transformation of the result value. This is mostly useful for top- level command invocations that need to provide the results in a particular format. Instead of a callable, a label for a pre-crafted result transformation can be given. [Default: None]
  • return_type ({'generator', 'list', 'item-or-list'}, optional) – return value behavior switch. If ‘item-or-list’ a single value is returned instead of a one-item return value list, or a list in case of multiple return values. None is return in case of an empty list. [Default: ‘list’]