def lsrepo(self, line):
"""
define ``%lsrepo``, the method returns the files present in a repository (GIT or SVN)
.. versionadded:: 1.1
"""
parser = self.get_parser(MagicFile.lsrepo_parser, "lsrepo")
args = self.get_args(line, parser)
if args is not None:
if args.path is None or len(args.path) == 0:
filename = "."
else:
filename = args.path
iter = explore_folder_iterfile_repo(filename)
rows = []
for r in iter:
d = os.path.isfile(r)
if d:
st = os.stat(r)
r = {"name": r,
"size": format_file_size(st.st_size),
"last_modified": format_file_mtime(st.st_mtime),
"directory": False}
else:
r = {"name": r, "directory": True}
rows.append(r)
return pandas.DataFrame(rows)
def lsrepo(self, line):
"""
Defines ``%lsrepo``.
.. nbref::
:tag: file
:title: lsrepo
The method returns the files present in a repository
(:epkg:`GIT` or :pkg:`SVN`). The code is equivalent to::
from pyquickhelper.filehelper import explore_folder_iterfile_repo
res = explore_folder_iterfile_repo(<filename>, <pattern>)
for f in res:
print(f)
.. versionadded:: 1.1
"""
parser = self.get_parser(MagicFile.lsrepo_parser, "lsrepo")
args = self.get_args(line, parser)
if args is not None:
if args.path is None or len(args.path) == 0:
filename = "."
else:
filename = args.path
iter = explore_folder_iterfile_repo(filename)
rows = []
for r in iter:
d = os.path.isfile(r)
if d:
st = os.stat(r)
r = {
"name": r,
"size": format_file_size(st.st_size),
"last_modified": format_file_mtime(st.st_mtime),
"directory": False
}
else:
r = {"name": r, "directory": True}
rows.append(r)
return pandas.DataFrame(rows)
return None
def lsrepo(self, line):
"""
Defines ``%lsrepo``.
.. nbref::
:tag: file
:title: lsrepo
The method returns the files present in a repository
(:epkg:`GIT` or :pkg:`SVN`). The code is equivalent to::
from pyquickhelper.filehelper import explore_folder_iterfile_repo
res = explore_folder_iterfile_repo(<filename>, <pattern>)
for f in res:
print(f)
.. versionadded:: 1.1
"""
parser = self.get_parser(MagicFile.lsrepo_parser, "lsrepo")
args = self.get_args(line, parser)
if args is not None:
if args.path is None or len(args.path) == 0:
filename = "."
else:
filename = args.path
iter = explore_folder_iterfile_repo(filename)
rows = []
for r in iter:
d = os.path.isfile(r)
if d:
st = os.stat(r)
r = {"name": r,
"size": format_file_size(st.st_size),
"last_modified": format_file_mtime(st.st_mtime),
"directory": False}
else:
r = {"name": r, "directory": True}
rows.append(r)
return pandas.DataFrame(rows)
return None
