def ds_traverse(rootds, parent=None, json=None,
recurse_datasets=False, recurse_directories=False,
long_=False):
"""Hierarchical dataset traverser
Parameters
----------
rootds: Dataset
Root dataset to be traversed
parent: Dataset
Parent dataset of the current rootds
recurse_datasets: bool
Recurse into subdatasets of the root dataset
recurse_directories: bool
Recurse into subdirectories of the current dataset
In both of above cases, if False, they will not be explicitly
recursed but data would be loaded from their meta-data files
Returns
-------
list of dict
extracts and returns a (recursive) list of dataset(s) info at path
"""
# extract parent info to pass to traverser
fsparent = fs_extract(parent.path, parent.repo, basepath=rootds.path) \
if parent else None
# (recursively) traverse file tree of current dataset
fs = fs_traverse(
rootds.path, rootds.repo,
subdatasets=list(rootds.subdatasets(result_xfm='relpaths')),
render=False,
parent=fsparent,
# XXX note that here I kinda flipped the notions!
recurse_datasets=recurse_datasets,
recurse_directories=recurse_directories,
json=json
)
# BUT if we are recurse_datasets but not recurse_directories
# we need to handle those subdatasets then somehow since
# otherwise we might not even get to them?!
fs['nodes'][0]['size'] = fs['size'] # update self's updated size in nodes sublist too!
# add dataset specific entries to its dict
rootds_model = GitModel(rootds.repo)
fs['tags'] = rootds_model.describe
fs['branch'] = rootds_model.branch
index_file = opj(rootds.path, '.git', 'index')
fs['index-mtime'] = time.strftime(
u"%Y-%m-%d %H:%M:%S",
time.localtime(getmtime(index_file))) if exists(index_file) else ''
# render current dataset
lgr.info('Dataset: %s' % rootds.path)
fs_render(fs, json=json, ds_path=rootds.path)
return fs
def _traverse_handle_subds(
subds_rpath, rootds,
recurse_datasets, recurse_directories, json):
"""A helper to deal with the subdataset node - recurse or just pick up
may be alrady collected in it web meta
"""
subds_path = opj(rootds.path, subds_rpath)
subds = Dataset(subds_path)
subds_json = metadata_locator(path='.', ds_path=subds_path)
def handle_not_installed():
# for now just traverse as fs
lgr.warning("%s is either not installed or lacks meta-data", subds)
subfs = fs_extract(subds_path, rootds, basepath=rootds.path)
# but add a custom type that it is a not installed subds
subfs['type'] = 'uninitialized'
# we need to kick it out from 'children'
# TODO: this is inefficient and cruel -- "ignored" should be made
# smarted to ignore submodules for the repo
#if fs['nodes']:
# fs['nodes'] = [c for c in fs['nodes'] if c['path'] != subds_rpath]
return subfs
if not subds.is_installed():
subfs = handle_not_installed()
elif recurse_datasets:
subfs = ds_traverse(subds,
json=json,
recurse_datasets=recurse_datasets,
recurse_directories=recurse_directories,
parent=rootds)
subfs.pop('nodes', None)
#size_list.append(subfs['size'])
# else just pick the data from metadata_file of each subdataset
else:
subfs = None
lgr.info(subds.path)
if exists(subds_json):
with open(subds_json) as data_file:
subfs = js.load(data_file)
subfs.pop('nodes', None) # remove children
subfs['path'] = subds_rpath # reassign the path
#size_list.append(subfs['size'])
else:
# the same drill as if not installed
lgr.warning("%s is installed but no meta-data yet", subds)
subfs = handle_not_installed()
# add URL field
return subfs
def _traverse_handle_subds(subds_rpath, rootds, recurse_datasets,
recurse_directories, json):
"""A helper to deal with the subdataset node - recurse or just pick up
may be alrady collected in it web meta
"""
subds_path = opj(rootds.path, subds_rpath)
subds = Dataset(subds_path)
subds_json = metadata_locator(path='.', ds_path=subds_path)
def handle_not_installed():
# for now just traverse as fs
lgr.warning("%s is either not installed or lacks meta-data", subds)
subfs = fs_extract(subds_path, rootds, basepath=rootds.path)
# but add a custom type that it is a not installed subds
subfs['type'] = 'uninitialized'
# we need to kick it out from 'children'
# TODO: this is inefficient and cruel -- "ignored" should be made
# smarted to ignore submodules for the repo
#if fs['nodes']:
# fs['nodes'] = [c for c in fs['nodes'] if c['path'] != subds_rpath]
return subfs
if not subds.is_installed():
subfs = handle_not_installed()
elif recurse_datasets:
subfs = ds_traverse(subds,
json=json,
recurse_datasets=recurse_datasets,
recurse_directories=recurse_directories,
parent=rootds)
subfs.pop('nodes', None)
#size_list.append(subfs['size'])
# else just pick the data from metadata_file of each subdataset
else:
subfs = None
lgr.info(subds.path)
if exists(subds_json):
with open(subds_json) as data_file:
subfs = js.load(data_file)
subfs.pop('nodes', None) # remove children
subfs['path'] = subds_rpath # reassign the path
#size_list.append(subfs['size'])
else:
# the same drill as if not installed
lgr.warning("%s is installed but no meta-data yet", subds)
subfs = handle_not_installed()
# add URL field
return subfs
def ds_traverse(rootds,
parent=None,
json=None,
recurse_datasets=False,
recurse_directories=False,
long_=False):
"""Hierarchical dataset traverser
Parameters
----------
rootds: Dataset
Root dataset to be traversed
parent: Dataset
Parent dataset of the current rootds
recurse_datasets: bool
Recurse into subdatasets of the root dataset
recurse_directories: bool
Recurse into subdirectories of the current dataset
In both of above cases, if False, they will not be explicitly
recursed but data would be loaded from their meta-data files
Returns
-------
list of dict
extracts and returns a (recursive) list of dataset(s) info at path
"""
# extract parent info to pass to traverser
fsparent = fs_extract(parent.path, parent.repo, basepath=rootds.path) \
if parent else None
# (recursively) traverse file tree of current dataset
fs = fs_traverse(
rootds.path,
rootds.repo,
subdatasets=list(rootds.subdatasets(result_xfm='relpaths')),
render=False,
parent=fsparent,
# XXX note that here I kinda flipped the notions!
recurse_datasets=recurse_datasets,
recurse_directories=recurse_directories,
json=json)
# BUT if we are recurse_datasets but not recurse_directories
# we need to handle those subdatasets then somehow since
# otherwise we might not even get to them?!
fs['nodes'][0]['size'] = fs[
'size'] # update self's updated size in nodes sublist too!
# add dataset specific entries to its dict
rootds_model = GitModel(rootds.repo)
fs['tags'] = rootds_model.describe
fs['branch'] = rootds_model.branch
index_file = opj(rootds.path, '.git', 'index')
fs['index-mtime'] = time.strftime(
u"%Y-%m-%d %H:%M:%S", time.localtime(
getmtime(index_file))) if exists(index_file) else ''
# render current dataset
lgr.info('Dataset: %s' % rootds.path)
fs_render(fs, json=json, ds_path=rootds.path)
return fs
def fs_traverse(path,
repo,
parent=None,
subdatasets=None,
render=True,
recurse_datasets=False,
recurse_directories=False,
json=None,
basepath=None):
"""Traverse path through its nodes and returns a dictionary of relevant
attributes attached to each node
Parameters
----------
path: str
Path to the directory to be traversed
repo: AnnexRepo or GitRepo
Repo object the directory belongs too
parent: dict
Extracted info about parent directory
recurse_directories: bool
Recurse into subdirectories (note that subdatasets are not traversed)
render: bool
To render from within function or not. Set to false if results to be
manipulated before final render
Returns
-------
list of dict
extracts and returns a (recursive) list of directory info at path
does not traverse into annex, git or hidden directories
"""
subdatasets = subdatasets or []
fs = fs_extract(path, repo, basepath=basepath or path)
dataset = Dataset(repo.path)
submodules = {sm.path: sm for sm in repo.get_submodules()}
# TODO: some submodules might not even have a local empty directory
# (git doesn't care about those), so us relying on listdir here and
# for _traverse_handle_subds might not work out.
# E.g. create-sibling --ui true ... --existing=reconfigure
# causes removal of those empty ones on the remote end
if isdir(path): # if node is a directory
children = [
fs.copy()
] # store its info in its children dict too (Yarik is not sure why, but I guess for .?)
# ATM seems some pieces still rely on having this duplication, so left as is
# TODO: strip away
for node in listdir(path):
nodepath = opj(path, node)
# Might contain subdatasets, so we should analyze and prepare entries
# to pass down... in theory we could just pass full paths may be? strip
node_subdatasets = []
is_subdataset = False
if isdir(nodepath):
node_sep = with_pathsep(node)
for subds in subdatasets:
if subds == node:
# it is the subdataset
is_subdataset = True
else:
# use path_is_subdir
if subds.startswith(node_sep):
node_subdatasets += [subds[len(node_sep):]]
# TODO: it might be a subdir which is non-initialized submodule!
# if not ignored, append child node info to current nodes dictionary
if is_subdataset:
# repo.path is real, so we are doomed (for now at least)
# to resolve nodepath as well to get relpath for it
node_relpath = relpath(realpath(nodepath), repo.path)
subds = _traverse_handle_subds(
node_relpath,
dataset,
recurse_datasets=recurse_datasets,
recurse_directories=recurse_directories,
json=json)
# Enhance it with external url if available
submod_url = submodules[node_relpath].url
if submod_url and is_datalad_compat_ri(submod_url):
subds['url'] = submod_url
children.append(subds)
elif not ignored(nodepath):
# if recursive, create info dictionary (within) each child node too
if recurse_directories:
subdir = fs_traverse(
nodepath,
repo,
subdatasets=node_subdatasets,
parent=None, # children[0],
recurse_datasets=recurse_datasets,
recurse_directories=recurse_directories,
json=json,
basepath=basepath or path)
subdir.pop('nodes', None)
else:
# read child metadata from its metadata file if it exists
subdir_json = metadata_locator(path=node,
ds_path=basepath or path)
if exists(subdir_json):
with open(subdir_json) as data_file:
subdir = js.load(data_file)
subdir.pop('nodes', None)
# else extract whatever information you can about the child
else:
# Yarik: this one is way too lean...
subdir = fs_extract(nodepath,
repo,
basepath=basepath or path)
# append child metadata to list
children.extend([subdir])
# sum sizes of all 1st level children
children_size = {}
for node in children[1:]:
for size_type, child_size in node['size'].items():
children_size[size_type] = children_size.get(
size_type, 0) + machinesize(child_size)
# update current node sizes to the humanized aggregate children size
fs['size'] = children[0]['size'] = \
{size_type: humanize.naturalsize(child_size)
for size_type, child_size in children_size.items()}
children[0][
'name'] = '.' # replace current node name with '.' to emulate unix syntax
if parent:
parent[
'name'] = '..' # replace parent node name with '..' to emulate unix syntax
children.insert(
1, parent
) # insert parent info after current node info in children dict
fs['nodes'] = children # add children info to main fs dictionary
if render: # render directory node at location(path)
fs_render(fs, json=json, ds_path=basepath or path)
lgr.info('Directory: %s' % path)
return fs
def fs_traverse(path, repo, parent=None,
subdatasets=None,
render=True,
recurse_datasets=False,
recurse_directories=False,
json=None, basepath=None):
"""Traverse path through its nodes and returns a dictionary of relevant
attributes attached to each node
Parameters
----------
path: str
Path to the directory to be traversed
repo: AnnexRepo or GitRepo
Repo object the directory belongs too
parent: dict
Extracted info about parent directory
recurse_directories: bool
Recurse into subdirectories (note that subdatasets are not traversed)
render: bool
To render from within function or not. Set to false if results to be
manipulated before final render
Returns
-------
list of dict
extracts and returns a (recursive) list of directory info at path
does not traverse into annex, git or hidden directories
"""
subdatasets = subdatasets or []
fs = fs_extract(path, repo, basepath=basepath or path)
dataset = Dataset(repo.path)
submodules = {sm.path: sm
for sm in repo.get_submodules()}
# TODO: some submodules might not even have a local empty directory
# (git doesn't care about those), so us relying on listdir here and
# for _traverse_handle_subds might not work out.
# E.g. create-sibling --ui true ... --existing=reconfigure
# causes removal of those empty ones on the remote end
if isdir(path): # if node is a directory
children = [fs.copy()] # store its info in its children dict too (Yarik is not sure why, but I guess for .?)
# ATM seems some pieces still rely on having this duplication, so left as is
# TODO: strip away
for node in listdir(path):
nodepath = opj(path, node)
# Might contain subdatasets, so we should analyze and prepare entries
# to pass down... in theory we could just pass full paths may be? strip
node_subdatasets = []
is_subdataset = False
if isdir(nodepath):
node_sep = with_pathsep(node)
for subds in subdatasets:
if subds == node:
# it is the subdataset
is_subdataset = True
else:
# use path_is_subdir
if subds.startswith(node_sep):
node_subdatasets += [subds[len(node_sep):]]
# TODO: it might be a subdir which is non-initialized submodule!
# if not ignored, append child node info to current nodes dictionary
if is_subdataset:
# repo.path is real, so we are doomed (for now at least)
# to resolve nodepath as well to get relpath for it
node_relpath = relpath(realpath(nodepath), repo.path)
subds = _traverse_handle_subds(
node_relpath,
dataset,
recurse_datasets=recurse_datasets,
recurse_directories=recurse_directories,
json=json
)
# Enhance it with external url if available
submod_url = submodules[node_relpath].url
if submod_url and is_datalad_compat_ri(submod_url):
subds['url'] = submod_url
children.append(subds)
elif not ignored(nodepath):
# if recursive, create info dictionary (within) each child node too
if recurse_directories:
subdir = fs_traverse(nodepath,
repo,
subdatasets=node_subdatasets,
parent=None, # children[0],
recurse_datasets=recurse_datasets,
recurse_directories=recurse_directories,
json=json,
basepath=basepath or path)
subdir.pop('nodes', None)
else:
# read child metadata from its metadata file if it exists
subdir_json = metadata_locator(path=node, ds_path=basepath or path)
if exists(subdir_json):
with open(subdir_json) as data_file:
subdir = js.load(data_file)
subdir.pop('nodes', None)
# else extract whatever information you can about the child
else:
# Yarik: this one is way too lean...
subdir = fs_extract(nodepath,
repo,
basepath=basepath or path)
# append child metadata to list
children.extend([subdir])
# sum sizes of all 1st level children
children_size = {}
for node in children[1:]:
for size_type, child_size in node['size'].items():
children_size[size_type] = children_size.get(size_type, 0) + machinesize(child_size)
# update current node sizes to the humanized aggregate children size
fs['size'] = children[0]['size'] = \
{size_type: humanize.naturalsize(child_size)
for size_type, child_size in children_size.items()}
children[0]['name'] = '.' # replace current node name with '.' to emulate unix syntax
if parent:
parent['name'] = '..' # replace parent node name with '..' to emulate unix syntax
children.insert(1, parent) # insert parent info after current node info in children dict
fs['nodes'] = children # add children info to main fs dictionary
if render: # render directory node at location(path)
fs_render(fs, json=json, ds_path=basepath or path)
lgr.info('Directory: %s' % path)
return fs
