270 lines
9.0 KiB
Python
270 lines
9.0 KiB
Python
# Copyright 2011 OpenStack Foundation.
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# All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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"""
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System-level utilities and helper functions.
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"""
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import math
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import re
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import unicodedata
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import six
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from oslo_utils._i18n import _
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from oslo_utils import encodeutils
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UNIT_PREFIX_EXPONENT = {
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'k': 1,
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'K': 1,
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'Ki': 1,
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'M': 2,
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'Mi': 2,
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'G': 3,
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'Gi': 3,
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'T': 4,
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'Ti': 4,
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}
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UNIT_SYSTEM_INFO = {
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'IEC': (1024, re.compile(r'(^[-+]?\d*\.?\d+)([KMGT]i?)?(b|bit|B)$')),
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'SI': (1000, re.compile(r'(^[-+]?\d*\.?\d+)([kMGT])?(b|bit|B)$')),
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}
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TRUE_STRINGS = ('1', 't', 'true', 'on', 'y', 'yes')
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FALSE_STRINGS = ('0', 'f', 'false', 'off', 'n', 'no')
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SLUGIFY_STRIP_RE = re.compile(r"[^\w\s-]")
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SLUGIFY_HYPHENATE_RE = re.compile(r"[-\s]+")
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# NOTE(flaper87): The following globals are used by `mask_password`
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_SANITIZE_KEYS = ['adminPass', 'admin_pass', 'password', 'admin_password',
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'auth_token', 'new_pass', 'auth_password', 'secret_uuid',
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'secret', 'sys_pswd', 'token']
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# NOTE(ldbragst): Let's build a list of regex objects using the list of
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# _SANITIZE_KEYS we already have. This way, we only have to add the new key
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# to the list of _SANITIZE_KEYS and we can generate regular expressions
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# for XML and JSON automatically.
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_SANITIZE_PATTERNS_2 = {}
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_SANITIZE_PATTERNS_1 = {}
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# NOTE(amrith): Some regular expressions have only one parameter, some
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# have two parameters. Use different lists of patterns here.
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_FORMAT_PATTERNS_1 = [r'(%(key)s\s*[=]\s*)[^\s^\'^\"]+']
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_FORMAT_PATTERNS_2 = [r'(%(key)s\s*[=]\s*[\"\'])[^\"\']*([\"\'])',
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r'(%(key)s\s+[\"\'])[^\"\']*([\"\'])',
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r'([-]{2}%(key)s\s+)[^\'^\"^=^\s]+([\s]*)',
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r'(<%(key)s>)[^<]*(</%(key)s>)',
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r'([\"\']%(key)s[\"\']\s*:\s*[\"\'])[^\"\']*([\"\'])',
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r'([\'"][^"\']*%(key)s[\'"]\s*:\s*u?[\'"])[^\"\']*'
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'([\'"])',
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r'([\'"][^\'"]*%(key)s[\'"]\s*,\s*\'--?[A-z]+\'\s*,\s*u?'
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'[\'"])[^\"\']*([\'"])',
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r'(%(key)s\s*--?[A-z]+\s*)\S+(\s*)']
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# NOTE(dhellmann): Keep a separate list of patterns by key so we only
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# need to apply the substitutions for keys we find using a quick "in"
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# test.
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for key in _SANITIZE_KEYS:
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_SANITIZE_PATTERNS_1[key] = []
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_SANITIZE_PATTERNS_2[key] = []
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for pattern in _FORMAT_PATTERNS_2:
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reg_ex = re.compile(pattern % {'key': key}, re.DOTALL)
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_SANITIZE_PATTERNS_2[key].append(reg_ex)
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for pattern in _FORMAT_PATTERNS_1:
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reg_ex = re.compile(pattern % {'key': key}, re.DOTALL)
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_SANITIZE_PATTERNS_1[key].append(reg_ex)
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def int_from_bool_as_string(subject):
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"""Interpret a string as a boolean and return either 1 or 0.
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Any string value in:
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('True', 'true', 'On', 'on', '1')
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is interpreted as a boolean True.
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Useful for JSON-decoded stuff and config file parsing
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"""
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return int(bool_from_string(subject))
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def bool_from_string(subject, strict=False, default=False):
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"""Interpret a string as a boolean.
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A case-insensitive match is performed such that strings matching 't',
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'true', 'on', 'y', 'yes', or '1' are considered True and, when
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`strict=False`, anything else returns the value specified by 'default'.
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Useful for JSON-decoded stuff and config file parsing.
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If `strict=True`, unrecognized values, including None, will raise a
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ValueError which is useful when parsing values passed in from an API call.
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Strings yielding False are 'f', 'false', 'off', 'n', 'no', or '0'.
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"""
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if isinstance(subject, bool):
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return subject
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if not isinstance(subject, six.string_types):
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subject = six.text_type(subject)
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lowered = subject.strip().lower()
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if lowered in TRUE_STRINGS:
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return True
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elif lowered in FALSE_STRINGS:
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return False
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elif strict:
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acceptable = ', '.join(
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"'%s'" % s for s in sorted(TRUE_STRINGS + FALSE_STRINGS))
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msg = _("Unrecognized value '%(val)s', acceptable values are:"
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" %(acceptable)s") % {'val': subject,
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'acceptable': acceptable}
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raise ValueError(msg)
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else:
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return default
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def string_to_bytes(text, unit_system='IEC', return_int=False):
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"""Converts a string into an float representation of bytes.
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The units supported for IEC ::
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Kb(it), Kib(it), Mb(it), Mib(it), Gb(it), Gib(it), Tb(it), Tib(it)
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KB, KiB, MB, MiB, GB, GiB, TB, TiB
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The units supported for SI ::
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kb(it), Mb(it), Gb(it), Tb(it)
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kB, MB, GB, TB
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Note that the SI unit system does not support capital letter 'K'
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:param text: String input for bytes size conversion.
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:param unit_system: Unit system for byte size conversion.
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:param return_int: If True, returns integer representation of text
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in bytes. (default: decimal)
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:returns: Numerical representation of text in bytes.
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:raises ValueError: If text has an invalid value.
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"""
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try:
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base, reg_ex = UNIT_SYSTEM_INFO[unit_system]
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except KeyError:
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msg = _('Invalid unit system: "%s"') % unit_system
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raise ValueError(msg)
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match = reg_ex.match(text)
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if match:
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magnitude = float(match.group(1))
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unit_prefix = match.group(2)
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if match.group(3) in ['b', 'bit']:
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magnitude /= 8
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else:
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msg = _('Invalid string format: %s') % text
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raise ValueError(msg)
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if not unit_prefix:
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res = magnitude
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else:
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res = magnitude * pow(base, UNIT_PREFIX_EXPONENT[unit_prefix])
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if return_int:
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return int(math.ceil(res))
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return res
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def to_slug(value, incoming=None, errors="strict"):
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"""Normalize string.
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Convert to lowercase, remove non-word characters, and convert spaces
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to hyphens.
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Inspired by Django's `slugify` filter.
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:param value: Text to slugify
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:param incoming: Text's current encoding
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:param errors: Errors handling policy. See here for valid
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values http://docs.python.org/2/library/codecs.html
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:returns: slugified unicode representation of `value`
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:raises TypeError: If text is not an instance of str
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"""
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value = encodeutils.safe_decode(value, incoming, errors)
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# NOTE(aababilov): no need to use safe_(encode|decode) here:
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# encodings are always "ascii", error handling is always "ignore"
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# and types are always known (first: unicode; second: str)
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value = unicodedata.normalize("NFKD", value).encode(
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"ascii", "ignore").decode("ascii")
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value = SLUGIFY_STRIP_RE.sub("", value).strip().lower()
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return SLUGIFY_HYPHENATE_RE.sub("-", value)
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def mask_password(message, secret="***"):
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"""Replace password with 'secret' in message.
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:param message: The string which includes security information.
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:param secret: value with which to replace passwords.
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:returns: The unicode value of message with the password fields masked.
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For example:
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>>> mask_password("'adminPass' : 'aaaaa'")
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"'adminPass' : '***'"
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>>> mask_password("'admin_pass' : 'aaaaa'")
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"'admin_pass' : '***'"
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>>> mask_password('"password" : "aaaaa"')
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'"password" : "***"'
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>>> mask_password("'original_password' : 'aaaaa'")
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"'original_password' : '***'"
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>>> mask_password("u'original_password' : u'aaaaa'")
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"u'original_password' : u'***'"
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"""
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try:
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message = six.text_type(message)
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except UnicodeDecodeError:
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# NOTE(jecarey): Temporary fix to handle cases where message is a
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# byte string. A better solution will be provided in Kilo.
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pass
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substitute1 = r'\g<1>' + secret
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substitute2 = r'\g<1>' + secret + r'\g<2>'
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# NOTE(ldbragst): Check to see if anything in message contains any key
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# specified in _SANITIZE_KEYS, if not then just return the message since
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# we don't have to mask any passwords.
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for key in _SANITIZE_KEYS:
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if key in message:
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for pattern in _SANITIZE_PATTERNS_2[key]:
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message = re.sub(pattern, substitute2, message)
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for pattern in _SANITIZE_PATTERNS_1[key]:
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message = re.sub(pattern, substitute1, message)
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return message
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def is_int_like(val):
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"""Check if a value looks like an integer with base 10.
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:param val: Value to verify
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:type val: string
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:returns: bool
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"""
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try:
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return six.text_type(int(val)) == six.text_type(val)
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except (TypeError, ValueError):
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return False
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