clone.py

#"""DataLad Tabby Clone command"""
#
#__docformat__ = 'restructuredtext'
#
#from os.path import curdir
#from os.path import abspath
#
#from datalad_next.commands import (
#    EnsureCommandParameterization,
#    ValidatedInterface,
#    Parameter,
#    build_doc,
#    datasetmethod,
#    eval_results,
#    generic_result_renderer,
#    get_status_dict,
#    ParameterConstraintContext,
#)
#from datalad_next.constraints import (
#    EnsurePath,
#)
#
#import logging
#lgr = logging.getLogger('datalad.tabby.clone')
#
#
#class CloneParameterValidator(EnsureCommandParameterization):
#    """"""
#
#    def __init__(self):
#        super().__init__(
#            param_constraints=dict(
#                tabby_file=EnsurePath()
#            ),
#            joint_constraints={
#            },
#        )
#
#
## decoration auto-generates standard help
#@build_doc
## all commands must be derived from Interface
#class Clone(ValidatedInterface):
#    # first docstring line is used a short description in the cmdline help
#    # the rest is put in the verbose help and manpage
#    """Short description of the command
#
#    Long description of arbitrary volume.
#    """
#
#    _validator_ = CloneParameterValidator()
#
#    # parameters of the command, must be exhaustive
#    _params_ = dict(
#        tabby_file=Parameter(
#            args=("-t", "--tabby-file"),
#            doc="""Just a placeholder for the besic setup"""),
#    )
#
#    @staticmethod
#    # generic handling of command results (logging, rendering, filtering, ...)
#    @eval_results
#    # signature must match parameter list above
#    # additional generic arguments are added by decorators
#    def __call__(
#        tabby_file=abspath(curdir),
#    ):
#        yield get_status_dict(
#            action='tabby_clone',
#            path=tabby_file,
#            status='error',
#            message="This command has not yet been implemented",
#        )