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# Copyright 2023 VyOS maintainers and contributors <maintainers@vyos.io>
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library. If not, see <http://www.gnu.org/licenses/>.
def colon_separated_to_dict(data_string, uniquekeys=False):
""" Converts a string containing newline-separated entries
of colon-separated key-value pairs into a dict.
Such files are common in Linux /proc filesystem
Args:
data_string (str): data string
uniquekeys (bool): whether to insist that keys are unique or not
Returns: dict
Raises:
ValueError: if uniquekeys=True and the data string has
duplicate keys.
Note:
If uniquekeys=True, then dict entries are always strings,
otherwise they are always lists of strings.
"""
import re
key_value_re = re.compile('([^:]+)\s*\:\s*(.*)')
data_raw = re.split('\n', data_string)
data = {}
for l in data_raw:
l = l.strip()
if l:
match = re.match(key_value_re, l)
if match and (len(match.groups()) == 2):
key = match.groups()[0].strip()
value = match.groups()[1].strip()
else:
raise ValueError(f"""Line "{l}" could not be parsed a colon-separated pair """, l)
if key in data.keys():
if uniquekeys:
raise ValueError("Data string has duplicate keys: {0}".format(key))
else:
data[key].append(value)
else:
if uniquekeys:
data[key] = value
else:
data[key] = [value]
else:
pass
return data
def _mangle_dict_keys(data, regex, replacement, abs_path=[], no_tag_node_value_mangle=False, mod=0):
""" Mangles dict keys according to a regex and replacement character.
Some libraries like Jinja2 do not like certain characters in dict keys.
This function can be used for replacing all offending characters
with something acceptable.
Args:
data (dict): Original dict to mangle
Returns: dict
"""
from vyos.xml import is_tag
new_dict = {}
for key in data.keys():
save_mod = mod
save_path = abs_path[:]
abs_path.append(key)
if not is_tag(abs_path):
new_key = re.sub(regex, replacement, key)
else:
if mod%2:
new_key = key
else:
new_key = re.sub(regex, replacement, key)
if no_tag_node_value_mangle:
mod += 1
value = data[key]
if isinstance(value, dict):
new_dict[new_key] = _mangle_dict_keys(value, regex, replacement, abs_path=abs_path, mod=mod, no_tag_node_value_mangle=no_tag_node_value_mangle)
else:
new_dict[new_key] = value
mod = save_mod
abs_path = save_path[:]
return new_dict
def mangle_dict_keys(data, regex, replacement, abs_path=[], no_tag_node_value_mangle=False):
return _mangle_dict_keys(data, regex, replacement, abs_path=abs_path, no_tag_node_value_mangle=no_tag_node_value_mangle, mod=0)
def _get_sub_dict(d, lpath):
k = lpath[0]
if k not in d.keys():
return {}
c = {k: d[k]}
lpath = lpath[1:]
if not lpath:
return c
elif not isinstance(c[k], dict):
return {}
return _get_sub_dict(c[k], lpath)
def get_sub_dict(source, lpath, get_first_key=False):
""" Returns the sub-dict of a nested dict, defined by path of keys.
Args:
source (dict): Source dict to extract from
lpath (list[str]): sequence of keys
Returns: source, if lpath is empty, else
{key : source[..]..[key]} for key the last element of lpath, if exists
{} otherwise
"""
if not isinstance(source, dict):
raise TypeError("source must be of type dict")
if not isinstance(lpath, list):
raise TypeError("path must be of type list")
if not lpath:
return source
ret = _get_sub_dict(source, lpath)
if get_first_key and lpath and ret:
tmp = next(iter(ret.values()))
if not isinstance(tmp, dict):
raise TypeError("Data under node is not of type dict")
ret = tmp
return ret
def dict_search(path, dict_object):
""" Traverse Python dictionary (dict_object) delimited by dot (.).
Return value of key if found, None otherwise.
This is faster implementation then jmespath.search('foo.bar', dict_object)"""
if not isinstance(dict_object, dict) or not path:
return None
parts = path.split('.')
inside = parts[:-1]
if not inside:
if path not in dict_object:
return None
return dict_object[path]
c = dict_object
for p in parts[:-1]:
c = c.get(p, {})
return c.get(parts[-1], None)
def dict_search_args(dict_object, *path):
# Traverse dictionary using variable arguments
# Added due to above function not allowing for '.' in the key names
# Example: dict_search_args(some_dict, 'key', 'subkey', 'subsubkey', ...)
if not isinstance(dict_object, dict) or not path:
return None
for item in path:
if item not in dict_object:
return None
dict_object = dict_object[item]
return dict_object
def dict_search_recursive(dict_object, key, path=[]):
""" Traverse a dictionary recurisvely and return the value of the key
we are looking for.
Thankfully copied from https://stackoverflow.com/a/19871956
Modified to yield optional path to found keys
"""
if isinstance(dict_object, list):
for i in dict_object:
new_path = path + [i]
for x in dict_search_recursive(i, key, new_path):
yield x
elif isinstance(dict_object, dict):
if key in dict_object:
new_path = path + [key]
yield dict_object[key], new_path
for k, j in dict_object.items():
new_path = path + [k]
for x in dict_search_recursive(j, key, new_path):
yield x
def dict_to_list(d, save_key_to=None):
""" Convert a dict to a list of dicts.
Optionally, save the original key of the dict inside
dicts stores in that list.
"""
def save_key(i, k):
if isinstance(i, dict):
i[save_key_to] = k
return
elif isinstance(i, list):
for _i in i:
save_key(_i, k)
else:
raise ValueError(f"Cannot save the key: the item is {type(i)}, not a dict")
collect = []
for k,_ in d.items():
item = d[k]
if save_key_to is not None:
save_key(item, k)
if isinstance(item, list):
collect += item
else:
collect.append(item)
return collect
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