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import libdar
import os, sys
# mandatory first action is to initialize libdar
# by calling libdar.get_version()
u = libdar.get_version()
print("using libdar version {}.{}.{}".format(u[0],u[1],u[2]))
# libdar.get_version() can be called at will
# now defining a very minimalist class to let libdar
# interact with the user directly. One could make use
# of graphical popup window here if a Graphical User Interface
# was used:
class myui(libdar.user_interaction):
def __init__(self):
libdar.user_interaction.__init__(self)
# it is mandatory to initialize the parent
# class: libdar.user_interaction
def inherited_message(self, msg):
print("LIBDAR MESSAGE:{0}".format(msg))
# the "LIBDAR MESSAGE" is pure demonstration
# to see when output comes through this
# user_interaction child class
def inherited_pause(self, msg):
while True:
res = input("LIBDAR QUESTION:{0} y/n ".format(msg))
if res == "y":
return True
else:
if res == "n":
return False
else:
print("answer 'y' or 'n'")
def inherited_get_string(self, msg, echo):
return input(msg)
# we should take care about the boolean value echo
# and not show what user type when echo is False
def inherited_get_secu_string(self, msg, echo):
return input(msg)
# we should take care about the boolean value echo
# and not show what user type when echo is False
# exceptions from libdar (libdar::Egeneric, Erange, ...) in
# C++ side are all translated to libdar.darexc class introduced
# in the python binding. This class has the __str__() method to
# get the message string about the cause of the exception
# it get displayed naturally when you don't catch them from
# a python shell
# here is an example on how to handle libdar.darexc exceptions:
try:
x = libdar.deci("not an integer")
except libdar.darexc as obj:
print("libdar exception: {}".format(obj.__str__()))
# here follows some helper routines as illustration
# on how to manage some libdar data structures
# display libdar.statistics (not all fields are shown, see help(libdar.statistics)
def display_stats(stats):
print("---- stats result ---")
print("treated entries = {}".format(stats.get_treated_str()))
print("hard link entries = {}".format(stats.get_hard_links_str()))
print("%skipped entries = {}".format(stats.get_skipped_str()))
print("inode only entries = {}".format(stats.get_inode_only_str()))
print("ignored entries = {}".format(stats.get_ignored_str()))
print("too old entries = {}".format(stats.get_tooold_str()))
print("errored entries = {}".format(stats.get_errored_str()))
print("deleted entries = {}".format(stats.get_deleted_str()))
print("EA entries = {}".format(stats.get_ea_treated_str()))
print("FSA entries = {}".format(stats.get_fsa_treated_str()))
print("hard link entries = {}".format(stats.get_hard_links_str()))
print("wasted byte amount = {}".format(stats.get_byte_amount_str()))
print("total enries = {}".format(i2str(stats.total())))
print("---------------------")
# displaying libdar.entree_stats there is a predefined method
# as used here that will rely on a libdar.user_interaction to
# display the contents. You may also access the different fields
# by hand. see help(libdar.entree_stats) for details
def display_entree_stats(stats, ui):
print("--- archive content stats ---")
stats.listing(ui)
print("-----------------------------")
# for this later structure (libdar.entree_stats) you will probably
# want to play with libdar.infinit. I has quite all operation you
# can expect on integer (*,/,+,-,*=,+=,-=,/=,^=, >>=, <<=, %=,<,>,==,!=,...)
# the libdar.deci() class can be buil from a libdar.infinit or
# from a python string and provides two methods: human() and computer()
# that return a python string representing the number in base ten
# and computer() that returns a libdar.infinint
def f0():
x = libdar.infinint("122")
#
dy = libdar.deci("28")
y = dy.computer()
# which is equivalent to y = libdar.infinint("28")
z = x / y # integer division
print("the integer division of {} by {} gives {}".format(libdar.deci(x).human(),
dy.human(),
libdar.deci(z).human()))
# there is also the libdar.euclide(x, y) method that returns
# the integer division and rest as a couple of their numerator and divisor
# passed in argument:
res = libdar.euclide(x, y)
print("{} / {} = {} with a remaining of {}".format(libdar.deci(x).human(),
dy.human(),
libdar.deci(res[0]).human(),
libdar.deci(res[1]).human()))
# libdar.infinint to string:
def i2str(infinint):
return libdar.deci(infinint).human()
# this is a example of routine that given an open libdar.archive
# will provide its listing content. This call is recursive but
# free to you to recurse or not upon user event (expanding a directory
# in the current display for example).
# Note that the method libdar.archive.get_children_in_table returns
# a list of object of type libdar.list_entry which has a long
# list of methods to provide a very much detailed information
# for a given entry in the archive. For more about it,
# see help(libdar.list_entry)
def list_dir(archive, chem = "", indent = ""):
content = archive.get_children_in_table(chem, True)
# contents is a list of libdar.list_entry objects
for ent in content:
ligne = indent
if ent.is_eod():
continue
if ent.is_hard_linked():
ligne += "*"
else:
ligne += " "
if ent.is_dir():
ligne += "d"
else:
if ent.is_file():
ligne += "f"
else:
if ent.is_symlink():
ligne += "l"
else:
if ent.is_char_device():
ligne += "c"
else:
if ent.is_block_device():
ligne += "b"
else:
if ent.is_unix_socket():
ligne += "s"
else:
if ent.is_named_pipe():
ligne += "p"
else:
if ent.is_door_inode():
ligne += "D"
else:
if ent.is_removed_entry():
ligne += "Removed entry which was of of type {}".format(ent.get_removed_type())
else:
ligne += "WHAT THIS????"
continue
ligne += ent.get_perm() + " " + ent.get_name() + " "
ligne += ent.get_uid(True) + "/" + ent.get_gid(True) + " "
ligne += ent.get_last_modif()
print(ligne)
# now peparing the recursion when we meet a directory:
if ent.is_dir():
if chem != "":
nchem = (libdar.path(chem) + ent.get_name()).display()
else:
nchem = ent.get_name()
nindent = indent + " "
list_dir(archive, nchem, nindent)
# in the following we will provide several functions that
# either create, read, test, diff or extract an archive
# all will rely on the following global variables:
ui = myui()
sauv_path = libdar.path(".")
arch_name = "arch1"
ext = "dar"
# let's create an archive. the class
# libdar.archive_options_create has a default constructor
# that set the options to their default values, the clear()
# method can also be used to reset thm to default.
# then a bunch of method are provided to modify each of them
# according to your needs. See help(libdar.archive_options_create)
# and the API reference documentation for their nature and meaning
# the libdar.path can be set from a python string but has some
# method to pop, add a sub-directory easily. the libdar.path.display()
# method provides the representative string of the path
def f1():
opt = libdar.archive_options_create()
opt.set_info_details(True)
opt.set_display_treated(True, False)
opt.set_display_finished(True)
fsroot = libdar.path("/etc")
print("creating the archive")
libdar.archive(ui,
fsroot,
sauv_path,
arch_name,
ext,
opt)
# a the difference of C++ here several constructors and method
# like op_diff, op_test, etc. where a libdar::statistics *progresive_report
# field is present, the python binding has two equivalent methods, one
# without this field, and a second with a plain libdar.statistics field.
# this later object can be read from another thread while a libdar operation runs
# with it given as argument. This let the user see the progression of the
# operation (mainly counters on the number of inode
# treated, skipped, errored, etc.). More detail in the API reference guide
# by the way you will see user interaction in action as we
# tend to overwrite the archive created in f1(), assuming you
# run f1(), f2().... in order for the demo
def f2():
opt = libdar.archive_options_create()
opt.set_info_details(True)
opt.set_display_treated(False, False)
opt.set_display_finished(True)
fsroot = libdar.path("/etc")
stats = libdar.statistics()
print("creating the archive")
libdar.archive(ui,
fsroot,
sauv_path,
arch_name,
ext,
opt,
stats)
display_stats(stats)
# here we read an existing archive. Then first
# phase is to create a libdar.archive object
# the second is to act upon it. Several actions
# can be done in sequence on an existing object
# open that way (extracting several time, diff, test,
# an do on
def f3():
opt = libdar.archive_options_read()
opt.set_info_details(True)
arch1 = libdar.archive(ui,
sauv_path,
arch_name,
ext,
opt);
list_dir(arch1)
stats = arch1.get_stats()
display_entree_stats(stats, ui)
# below we will play with mask. Most operation have to
# operations to filter the file they will apply on. Then
# first "set_selection()" applies to filenames only
# the second 'set_subtree()" applies the whole path instead
# What type of libdar.mask() you setup for these is
# completely free. Pay attention that when a directory
# is excluded (by mean of set_subtree()) all its content
# and recursively all is subdirectories are skipped.
# the list of class inheriting from libdar.mask() are:
# - bool_mask(bool) either always true or always false
# - libdar.simple_mask(string) the provided string is read as a glob
# expression, which is the syntax most shell use like bash
# - libdar.regex_mask(string) the argument is read as a
# regular expression
# - simple_path_mask(string) matches if the string to
# compare to is a subdir of the string provided to the
# constructor, or if this string is a subdr of the string
# to compare to. This is mostly adapted to select a
# given directory for an operation, as all the path leading
# to it must match and all subdirectory in that directory
# must also match.
# - same_path_mask(string) matches only the given
# argument. This is intended for directory pruning
#
# most mask have in fact a second argument in their
# constructor (a boolean) that define whether the mask
# is case sensitive (True) or not (False)
# - not_mask(mask) gives the negation of the mask
# provided in argument
# - et_mask() + add_mask(mask) + add_mask(mask) +...
# makes a logical AND between the added masks
# - ou_mask() + add_mask(mask) + add_mask(mask) +...
# makes a logical OR between the added masks
# why this French "et" and "ou" words? because at that
# time they were added this code was internal to dar
# and I frequently use French words to designate my
# own datastructure to differentiate with English symbols
# brought from outside. This code has not change since then
# so is the reason.
# of course you can add_mask() a ou_mask(), a not_mask()
# or yet a et_mask() recursively at will and make arbitrarily complex
# masks mixing them with simple_mask(), regular_mask(), and so on.
def f4():
opt = libdar.archive_options_read()
arch1 = libdar.archive(ui,
sauv_path,
arch_name,
ext,
opt);
opt = libdar.archive_options_test()
# defining which file to test bases on filename (set_selection)
mask_file1 = libdar.simple_mask("*.*", True)
mask_file2 = libdar.regular_mask(".*\.pub$", True)
mask_filenames = libdar.ou_mask() # doing the logical OR between what we will add to it:
mask_filenames.add_mask(mask_file1)
mask_filenames.add_mask(mask_file2)
opt.set_selection(mask_filenames)
# reducing the testing in subdirectories
tree1 = libdar.simple_path_mask("/etc/ssh", False)
tree2 = libdar.simple_path_mask("/etc/grub.d", False)
tree = libdar.et_mask() # doing the loical AND betwen what we will add to it:
tree.add_mask(libdar.not_mask(tree1))
tree.add_mask(libdar.not_mask(tree2))
opt.set_subtree(tree)
opt.set_info_details(True)
opt.set_display_skipped(True)
arch1.op_test(opt)
# nothing much more different as previously
# except that we compare the archive with
# the filesystem (op_diff) while we tested the
# archive coherence previously (op_test)
def f5():
opt = libdar.archive_options_read()
arch1 = libdar.archive(ui,
sauv_path,
arch_name,
ext,
opt);
tree1 = libdar.simple_path_mask("/etc/ssh", False)
tree2 = libdar.simple_path_mask("/etc/grub.d", False)
tree = libdar.ou_mask()
tree.add_mask(tree1)
tree.add_mask(tree2)
opt = libdar.archive_options_diff()
opt.set_subtree(tree)
opt.set_info_details(True)
opt.set_display_treated(True, False)
opt.set_ea_mask(libdar.bool_mask(True))
opt.set_furtive_read_mode(False)
arch1.op_diff(libdar.path("/etc"),
opt)
rest = libdar.path("./Restore")
try:
os.rmdir(rest.display())
except:
pass
os.mkdir(rest.display())
opt = libdar.archive_options_extract()
# the overwriting policy can receive
# objects from many different crit_action_* classes
# - crit_constant_action() used here does always the same
# action on Data and EA+FSA when a conflict arise that
# would lead to overwriting
# - testing(criterium) the action depends on the evaluation
# of the provided criterium (see below)
# - crit_chain() + add(crit_action) performs the different
# crit_actions added in sequence the first one that provides
# an action for Data and/or EA+FSA is retained. If no action
# is left undefined the following crit_action of the chain are
# not evaluated
#
# for the testing crit_action inherited class, we need to provide
# a criterium object. Here too there is a set of inherited classes
# that come to help:
# - crit_in_place_is_inode
# - crit_in_place_is_dir
# - crit_in_place_is_file
# - ...
# - crit_not (to take the negation of the given criterium)
# - crit_or + add_crit() + add_crit() ... makes the logical OR
# - crit_and + add_crit() + add_crit()... for the logical AND
# - crit_invert for the in_place/to_be_added inversion
# Read the manual page about overwriting policy for details
# but in substance the criterum return true of false for each
# file in conflict and the object if class testing that uses
# this criterium applies the action given as "go_true" or the
# action given as "go_false" in regard of the provided result
over_policy = libdar.crit_constant_action(libdar.over_action_data.data_preserve,
libdar.over_action_ea.EA_preserve)
opt.set_overwriting_rules(over_policy)
# fsa_scope is a std::set in C++ side and translates to a
# python set on python side. Use the add() method to add
# values to the set:
fsa_scope = set()
fsa_scope.add(libdar.fsa_family.fsaf_hfs_plus)
fsa_scope.add(libdar.fsa_family.fsaf_linux_extX)
opt.set_fsa_scope(fsa_scope)
stats = libdar.statistics()
arch1.op_extract(rest, opt, stats)
display_stats(stats)
# last, all operation that interact with filesystem use by default
# a libdar.entrepot_local object (provided by the archive_options_*
# object, this makes the archive written and read from local filesystem.
# However you can replace this entrepot by an object of class
# libdar.libcurl_entrepot to read or write an archive over the network
# directly from libdar by mean of FTP of SFTP protocols. Follows an
# illustration of this possibility:
def f6():
opt = libdar.archive_options_read()
passwd ="joe@the.shmoe"
secu_pass = libdar.secu_string(passwd, len(passwd))
entrepot = libdar.entrepot_libcurl(ui,
libdar.mycurl_protocol.proto_ftp,
"anonymous",
secu_pass,
"ftp.edrusb.org",
"",
False,
"",
"",
"",
5)
print(entrepot.get_url())
opt.set_entrepot(entrepot)
opt.set_info_details(True)
arch2 = libdar.archive(ui,
libdar.path("/dar.linux.free.fr/Python_tutorial"),
"example",
"dar",
opt)
opt2 = libdar.archive_options_test()
opt2.set_display_treated(True, False)
arch2.op_test(opt2)
# other classes of interest:
# - libdar.database for the dar_manager featues
# - libdar.libdar_xform for the dar_xform features
# - libdar.libdar_slave for the dar_slave features
# they are all three accessible from python and follow
# very closely the C++ syntax and usage
# thanks to refer to the API documentation or to the
# C++ tutorial
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