def test_GitRepo_ssh_fetch(remote_path, repo_path):
from datalad import ssh_manager
remote_repo = GitRepo(remote_path, create=False)
url = "ssh://localhost" + op.abspath(remote_path)
socket_path = op.join(ssh_manager.socket_dir, get_connection_hash('localhost'))
repo = GitRepo(repo_path, create=True)
repo.add_remote("ssh-remote", url)
# we don't know any branches of the remote:
eq_([], repo.get_remote_branches())
fetched = repo.fetch(remote="ssh-remote")
assert_in('ssh-remote/master', [commit.name for commit in fetched])
ok_clean_git(repo)
# the connection is known to the SSH manager, since fetch() requested it:
assert_in(socket_path, ssh_manager._connections)
# and socket was created:
ok_(op.exists(socket_path))
# we actually fetched it:
assert_in('ssh-remote/master', repo.get_remote_branches())
def test_GitRepo_ssh_fetch(remote_path, repo_path):
from datalad import ssh_manager
remote_repo = GitRepo(remote_path, create=False)
url = "ssh://localhost" + op.abspath(remote_path)
socket_path = op.join(ssh_manager.socket_dir,
get_connection_hash('localhost'))
repo = GitRepo(repo_path, create=True)
repo.add_remote("ssh-remote", url)
# we don't know any branches of the remote:
eq_([], repo.get_remote_branches())
fetched = repo.fetch(remote="ssh-remote")
assert_in('ssh-remote/master', [commit.name for commit in fetched])
ok_clean_git(repo)
# the connection is known to the SSH manager, since fetch() requested it:
assert_in(socket_path, ssh_manager._connections)
# and socket was created:
ok_(op.exists(socket_path))
# we actually fetched it:
assert_in('ssh-remote/master', repo.get_remote_branches())
def _install_subds_from_flexible_source(ds, sm, **kwargs):
"""Tries to obtain a given subdataset from several meaningful locations
Parameters
----------
ds : Dataset
Parent dataset of to-be-installed subdataset.
sm : dict
Submodule record as produced by `subdatasets()`.
**kwargs
Passed onto clone()
"""
sm_path = op.relpath(sm['path'], start=sm['parentds'])
# compose a list of candidate clone URLs
clone_urls = _get_flexible_source_candidates_for_submodule(ds, sm)
# prevent inevitable exception from `clone`
dest_path = op.join(ds.path, sm_path)
clone_urls_ = [src['url'] for src in clone_urls if src['url'] != dest_path]
if not clone_urls:
# yield error
yield get_status_dict(
action='install',
ds=ds,
status='error',
message=("Have got no candidates to install subdataset %s from.",
sm_path),
logger=lgr,
)
return
for res in clone_dataset(clone_urls_,
Dataset(dest_path),
cfg=ds.config,
**kwargs):
# make sure to fix a detached HEAD before yielding the install success
# result. The resetting of the branch would undo any change done
# to the repo by processing in response to the result
if res.get('action', None) == 'install' and \
res.get('status', None) == 'ok' and \
res.get('type', None) == 'dataset' and \
res.get('path', None) == dest_path:
_fixup_submodule_dotgit_setup(ds, sm_path)
target_commit = sm['gitshasum']
lgr.debug(
"Update cloned subdataset {0} in parent".format(dest_path))
section_name = 'submodule.{}'.format(sm['gitmodule_name'])
# do not use `git-submodule update --init`, it would make calls
# to git-config which will not obey datalad inter-process locks for
# modifying .git/config
sub = GitRepo(res['path'])
# record what branch we were on right after the clone
# TODO instead of the active branch, this should first consider
# a configured branch in the submodule record of the superdataset
sub_orig_branch = sub.get_active_branch()
# if we are on a branch this hexsha will be the tip of that branch
sub_orig_hexsha = sub.get_hexsha()
if sub_orig_hexsha != target_commit:
# make sure we have the desired commit locally
# expensive and possibly error-prone fetch conditional on cheap
# local check
if not sub.commit_exists(target_commit):
try:
sub.fetch(remote='origin', refspec=target_commit)
except CommandError:
pass
# instead of inspecting the fetch results for possible ways
# with which it could failed to produced the desired result
# let's verify the presence of the commit directly, we are in
# expensive-land already anyways
if not sub.commit_exists(target_commit):
res.update(
status='error',
message=
('Target commit %s does not exist in the clone, and '
'a fetch that commit from origin failed',
target_commit[:8]),
)
yield res
# there is nothing we can do about this
# MIH thinks that removing the clone is not needed, as a likely
# next step will have to be a manual recovery intervention
# and not another blind attempt
continue
# checkout the desired commit
sub.call_git(['checkout', target_commit])
# did we detach?
# XXX: This is a less generic variant of a part of
# GitRepo.update_submodule(). It makes use of already available
# information and trusts the existence of the just cloned repo
# and avoids (redoing) some safety checks
if sub_orig_branch and not sub.get_active_branch():
# trace if current state is a predecessor of the branch_hexsha
lgr.debug(
"Detached HEAD after updating submodule %s "
"(original branch: %s)", sub, sub_orig_branch)
if sub.get_merge_base([sub_orig_hexsha,
target_commit]) == target_commit:
# TODO: config option?
# MIH: There is no real need here. IMHO this should all not
# happen, unless the submodule record has a branch
# configured. And Datalad should leave such a record, when
# a submodule is registered.
# we assume the target_commit to be from the same branch,
# because it is an ancestor -- update that original branch
# to point to the target_commit, and update HEAD to point to
# that location -- this readies the subdataset for
# further modification
lgr.info(
"Reset subdataset branch '%s' to %s (from %s) to "
"avoid a detached HEAD", sub_orig_branch,
target_commit[:8], sub_orig_hexsha[:8])
branch_ref = 'refs/heads/%s' % sub_orig_branch
sub.update_ref(branch_ref, target_commit)
sub.update_ref('HEAD', branch_ref, symbolic=True)
else:
lgr.warning(
"%s has a detached HEAD, because the recorded "
"subdataset state %s has no unique ancestor with "
"branch '%s'", sub, target_commit[:8],
sub_orig_branch)
# register the submodule as "active" in the superdataset
ds.config.set(
'{}.active'.format(section_name),
'true',
reload=False,
force=True,
where='local',
)
ds.config.set(
'{}.url'.format(section_name),
# record the actual source URL of the successful clone
# and not a funky prediction based on the parent ds
# like ds.repo.update_submodule() would do (does not
# accept a URL)
res['source']['giturl'],
reload=True,
force=True,
where='local',
)
yield res
subds = Dataset(dest_path)
if not subds.is_installed():
lgr.debug('Desired subdataset %s did not materialize, stopping', subds)
return
# check whether clone URL generators were involved
cand_cfg = [rec for rec in clone_urls if rec.get('from_config', False)]
if cand_cfg:
# get a handle on the configuration that is specified in the
# dataset itself (local and dataset)
super_cfg = ConfigManager(dataset=ds, source='dataset-local')
need_reload = False
for rec in cand_cfg:
# check whether any of this configuration originated from the
# superdataset. if so, inherit the config in the new subdataset
# clone. if not, keep things clean in order to be able to move with
# any outside configuration change
for c in ('datalad.get.subdataset-source-candidate-{}{}'.format(
rec['cost'], rec['name']),
'datalad.get.subdataset-source-candidate-{}'.format(
rec['name'])):
if c in super_cfg.keys():
subds.config.set(c,
super_cfg.get(c),
where='local',
reload=False)
need_reload = True
break
if need_reload:
subds.config.reload(force=True)