datalad.api.rerun(revision='HEAD', since=None, dataset=None, branch=None, message=None, onto=None, script=None, report=False)

Re-execute previous datalad run commands.

This will unlock any dataset content that is on record to have been modified by the command in the specified revision. It will then re-execute the command in the recorded path (if it was inside the dataset). Afterwards, all modifications will be saved.

Report mode

When called with report=True, this command reports information about what would be re-executed as a series of records. There will be a record for each revision in the specified revision range. Each of these will have one of the following “rerun_action” values:

• run: the revision has a recorded command that would be re-executed
• skip: the revision does not have a recorded command and would be skipped
• pick: the revision does not have a recorded command and would be cherry picked

The decision to skip rather than cherry pick a revision is based on whether the revision would be reachable from HEAD at the time of execution.

In addition, when a starting point other than HEAD is specified, there is a rerun_action value “checkout”, in which case the record includes information about the revision the would be checked out before rerunning any commands.

Examples

Re-execute the command from the previous commit:

% datalad rerun


Re-execute any commands in the last five commits:

% datalad rerun --since=HEAD~5


Do the same as above, but re-execute the commands on top of HEAD~5 in a detached state:

% datalad rerun --onto= --since=HEAD~5


Re-execute all previous commands and compare the old and new results:

% # on master branch
% datalad rerun --branch=verify --since=
% # now on verify branch
% datalad diff --revision=master..
% git log --oneline --left-right --cherry-pick master...


Note

Currently the “onto” feature only sets the working tree of the current dataset to a previous state. The working trees of any subdatasets remain unchanged.

Parameters: revision (str, optional) – rerun command(s) in revision. By default, the command from this commit will be executed, but since can be used to construct a revision range. [Default: ‘HEAD’] since (str or None, optional) – If since is a commit-ish, the commands from all commits that are reachable from revision but not since will be re-executed (in other words, the commands in git log SINCE..REVISION). If SINCE is an empty string, it is set to the parent of the first commit that contains a recorded command (i.e., all commands in git log REVISION will be re-executed). [Default: None] dataset (Dataset or None, optional) – specify the dataset from which to rerun a recorded command. If no dataset is given, an attempt is made to identify the dataset based on the current working directory. If a dataset is given, the command will be executed in the root directory of this dataset. [Default: None] branch (str or None, optional) – create and checkout this branch before rerunning the commands. [Default: None] message (str or None, optional) – use MESSAGE for the reran commit rather than the recorded commit message. In the case of a multi-commit rerun, all the reran commits will have this message. [Default: None] onto (str or None, optional) – start point for rerunning the commands. If not specified, commands are executed at HEAD. This option can be used to specify an alternative start point, which will be checked out with the branch name specified by branch or in a detached state otherwise. As a special case, an empty value for this option means to use the commit specified by since. [Default: None] script (str or None, optional) – extract the commands into this file rather than rerunning. Use - to write to stdout instead. [Default: None] report (bool, optional) – Don’t actually re-execute anything, just display what would be done. [Default: False] 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’] proc_post – Like proc_pre, but procedures are executed after the main command has finished. [Default: None] proc_pre – DataLad procedure to run prior to the main command. The argument a list of lists with procedure names and optional arguments. Procedures are called in the order their are given in this list. It is important to provide the respective target dataset to run a procedure on as the dataset argument of the main command. [Default: None] 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 ({'paths', 'relpaths', 'datasets', 'successdatasets-or-none', '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’]