def get_subdatasets(self, pattern=None, fulfilled=None, absolute=False,
recursive=False, recursion_limit=None, edges=False):
"""DEPRECATED: use `subdatasets()`"""
# TODO wipe this function out completely once we are comfortable
# with it. Internally we don't need or use it anymore.
import inspect
lgr.warning('%s still uses Dataset.get_subdatasets(). RF to use `subdatasets` command', inspect.stack()[1][3])
from datalad.coreapi import subdatasets
if edges:
return [(r['parentpath'] if absolute else relpath(r['parentpath'], start=self.path),
r['path'] if absolute else relpath(r['path'], start=self.path))
for r in subdatasets(
dataset=self,
fulfilled=fulfilled,
recursive=recursive,
recursion_limit=recursion_limit,
bottomup=True)]
else:
return subdatasets(
dataset=self,
fulfilled=fulfilled,
recursive=recursive,
recursion_limit=recursion_limit,
bottomup=True,
result_xfm='{}paths'.format('' if absolute else 'rel'))
def get_subdatasets(self, pattern=None, fulfilled=None, absolute=False,
recursive=False, recursion_limit=None, edges=False):
"""DEPRECATED: use `subdatasets()`"""
# TODO wipe this function out completely once we are comfortable
# with it. Internally we don't need or use it anymore.
import inspect
lgr.warning('%s still uses Dataset.get_subdatasets(). RF to use `subdatasets` command', inspect.stack()[1][3])
from datalad.coreapi import subdatasets
if edges:
return [(r['parentpath'] if absolute else relpath(r['parentpath'], start=self.path),
r['path'] if absolute else relpath(r['path'], start=self.path))
for r in subdatasets(
dataset=self,
fulfilled=fulfilled,
recursive=recursive,
recursion_limit=recursion_limit,
bottomup=True)]
else:
return subdatasets(
dataset=self,
fulfilled=fulfilled,
recursive=recursive,
recursion_limit=recursion_limit,
bottomup=True,
result_xfm='{}paths'.format('' if absolute else 'rel'))
def _get_dataset_metadata(self):
"""
Returns
-------
dict
keys are homogenized datalad metadata keys, values are arbitrary
"""
fpath = opj(self.ds.path, self._dataset_metadata_filename)
obj = {}
if exists(fpath):
obj = jsonload(fpath, fixup=True)
if 'definition' in obj:
obj['@context'] = obj['definition']
del obj['definition']
obj['@id'] = self.ds.id
subdsinfo = [{
# this version would change anytime we aggregate metadata, let's not
# do this for now
#'version': sds['revision'],
'type': sds['type'],
'name': sds['gitmodule_name'],
}
for sds in subdatasets(
dataset=self.ds,
recursive=False,
return_type='generator',
result_renderer='disabled')
]
if subdsinfo:
obj['haspart'] = subdsinfo
superds = self.ds.get_superdataset(registered_only=True, topmost=False)
if superds:
obj['ispartof'] = {
'@id': superds.id,
'type': 'dataset',
}
return obj
def _get_dataset_metadata(self):
"""
Returns
-------
dict
keys are homogenized datalad metadata keys, values are arbitrary
"""
fpath = opj(self.ds.path, DATASET_METADATA_FILE)
obj = {}
if exists(fpath):
obj = jsonload(fpath, fixup=True)
if 'definition' in obj:
obj['@context'] = obj['definition']
del obj['definition']
obj['@id'] = self.ds.id
subdsinfo = [
{
# this version would change anytime we aggregate metadata, let's not
# do this for now
#'version': sds['revision'],
'type': sds['type'],
'name': sds['gitmodule_name'],
} for sds in subdatasets(dataset=self.ds,
recursive=False,
return_type='generator',
result_renderer='disabled',
on_failure='ignore')
]
if subdsinfo:
obj['haspart'] = subdsinfo
superds = self.ds.get_superdataset(registered_only=True, topmost=False)
if superds:
obj['ispartof'] = {
'@id': superds.id,
'type': 'dataset',
}
return obj