neutron-lib/neutron_lib/api/validators.py

537 lines
18 KiB
Python

# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import re
import functools
import netaddr
from oslo_log import log as logging
from oslo_utils import uuidutils
import six
from neutron_lib._i18n import _
from neutron_lib.api import converters
from neutron_lib import constants
from neutron_lib import exceptions as n_exc
LOG = logging.getLogger(__name__)
# Used by range check to indicate no limit for a bound.
UNLIMITED = None
# Note: In order to ensure that the MAC address is unicast the first byte
# must be even.
MAC_PATTERN = "^%s[aceACE02468](:%s{2}){5}$" % (constants.HEX_ELEM,
constants.HEX_ELEM)
def _verify_dict_keys(expected_keys, target_dict, strict=True):
"""Allows to verify keys in a dictionary.
:param expected_keys: A list of keys expected to be present.
:param target_dict: The dictionary which should be verified.
:param strict: Specifies whether additional keys are allowed to be present.
:return: True, if keys in the dictionary correspond to the specification.
"""
if not isinstance(target_dict, dict):
msg = (_("Invalid input. '%(target_dict)s' must be a dictionary "
"with keys: %(expected_keys)s") %
{'target_dict': target_dict, 'expected_keys': expected_keys})
LOG.debug(msg)
return msg
expected_keys = set(expected_keys)
provided_keys = set(target_dict.keys())
predicate = expected_keys.__eq__ if strict else expected_keys.issubset
if not predicate(provided_keys):
msg = (_("Validation of dictionary's keys failed. "
"Expected keys: %(expected_keys)s "
"Provided keys: %(provided_keys)s") %
{'expected_keys': expected_keys,
'provided_keys': provided_keys})
LOG.debug(msg)
return msg
def is_attr_set(attribute):
return not (attribute is None or
attribute is constants.ATTR_NOT_SPECIFIED)
def _validate_list_of_items(item_validator, data, *args, **kwargs):
if not isinstance(data, list):
msg = _("'%s' is not a list") % data
return msg
if len(set(data)) != len(data):
msg = _("Duplicate items in the list: '%s'") % ', '.join(data)
return msg
for item in data:
msg = item_validator(item, *args, **kwargs)
if msg:
return msg
def validate_values(data, valid_values=None):
if data not in valid_values:
msg = (_("'%(data)s' is not in %(valid_values)s") %
{'data': data, 'valid_values': valid_values})
LOG.debug(msg)
return msg
def validate_not_empty_string_or_none(data, max_len=None):
if data is not None:
return validate_not_empty_string(data, max_len=max_len)
def validate_not_empty_string(data, max_len=None):
msg = validate_string(data, max_len=max_len)
if msg:
return msg
if not data.strip():
msg = _("'%s' Blank strings are not permitted") % data
LOG.debug(msg)
return msg
def validate_string_or_none(data, max_len=None):
if data is not None:
return validate_string(data, max_len=max_len)
def validate_string(data, max_len=None):
if not isinstance(data, six.string_types):
msg = _("'%s' is not a valid string") % data
LOG.debug(msg)
return msg
if max_len is not None and len(data) > max_len:
msg = (_("'%(data)s' exceeds maximum length of %(max_len)s") %
{'data': data, 'max_len': max_len})
LOG.debug(msg)
return msg
validate_list_of_unique_strings = functools.partial(_validate_list_of_items,
validate_string)
def validate_boolean(data, valid_values=None):
try:
converters.convert_to_boolean(data)
except n_exc.InvalidInput:
msg = _("'%s' is not a valid boolean value") % data
LOG.debug(msg)
return msg
def validate_range(data, valid_values=None):
"""Check that integer value is within a range provided.
Test is inclusive. Allows either limit to be ignored, to allow
checking ranges where only the lower or upper limit matter.
It is expected that the limits provided are valid integers or
the value None.
"""
min_value = valid_values[0]
max_value = valid_values[1]
try:
data = int(data)
except (ValueError, TypeError):
msg = _("'%s' is not an integer") % data
LOG.debug(msg)
return msg
if min_value is not UNLIMITED and data < min_value:
msg = _("'%(data)s' is too small - must be at least "
"'%(limit)d'") % {'data': data, 'limit': min_value}
LOG.debug(msg)
return msg
if max_value is not UNLIMITED and data > max_value:
msg = _("'%(data)s' is too large - must be no larger than "
"'%(limit)d'") % {'data': data, 'limit': max_value}
LOG.debug(msg)
return msg
def validate_no_whitespace(data):
"""Validates that input has no whitespace."""
if re.search(r'\s', data):
msg = _("'%s' contains whitespace") % data
LOG.debug(msg)
raise n_exc.InvalidInput(error_message=msg)
return data
def validate_mac_address(data, valid_values=None):
try:
valid_mac = netaddr.valid_mac(validate_no_whitespace(data))
except Exception:
valid_mac = False
if valid_mac:
valid_mac = (not netaddr.EUI(data) in
map(netaddr.EUI, constants.INVALID_MAC_ADDRESSES))
# TODO(arosen): The code in this file should be refactored
# so it catches the correct exceptions. validate_no_whitespace
# raises AttributeError if data is None.
if not valid_mac:
msg = _("'%s' is not a valid MAC address") % data
LOG.debug(msg)
return msg
def validate_mac_address_or_none(data, valid_values=None):
if data is not None:
return validate_mac_address(data, valid_values)
def validate_ip_address(data, valid_values=None):
msg = None
try:
# netaddr.core.ZEROFILL is only applicable to IPv4.
# it will remove leading zeros from IPv4 address octets.
ip = netaddr.IPAddress(validate_no_whitespace(data),
flags=netaddr.core.ZEROFILL)
# The followings are quick checks for IPv6 (has ':') and
# IPv4. (has 3 periods like 'xx.xx.xx.xx')
# NOTE(yamamoto): netaddr uses libraries provided by the underlying
# platform to convert addresses. For example, inet_aton(3).
# Some platforms, including NetBSD and OS X, have inet_aton
# implementation which accepts more varying forms of addresses than
# we want to accept here. The following check is to reject such
# addresses. For Example:
# >>> netaddr.IPAddress('1' * 59)
# IPAddress('199.28.113.199')
# >>> netaddr.IPAddress(str(int('1' * 59) & 0xffffffff))
# IPAddress('199.28.113.199')
# >>>
if ':' not in data and data.count('.') != 3:
msg = _("'%s' is not a valid IP address") % data
# A leading '0' in IPv4 address may be interpreted as an octal number,
# e.g. 011 octal is 9 decimal. Since there is no standard saying
# whether IP address with leading '0's should be interpreted as octal
# or decimal, hence we reject leading '0's to avoid ambiguity.
if ip.version == 4 and str(ip) != data:
msg = _("'%(data)s' is not an accepted IP address, "
"'%(ip)s' is recommended") % {"data": data, "ip": ip}
except Exception:
msg = _("'%s' is not a valid IP address") % data
if msg:
LOG.debug(msg)
return msg
def validate_ip_pools(data, valid_values=None):
"""Validate that start and end IP addresses are present.
In addition to this the IP addresses will also be validated
"""
if not isinstance(data, list):
msg = _("Invalid data format for IP pool: '%s'") % data
LOG.debug(msg)
return msg
expected_keys = ['start', 'end']
for ip_pool in data:
msg = _verify_dict_keys(expected_keys, ip_pool)
if msg:
return msg
for k in expected_keys:
msg = validate_ip_address(ip_pool[k])
if msg:
return msg
def validate_fixed_ips(data, valid_values=None):
if not isinstance(data, list):
msg = _("Invalid data format for fixed IP: '%s'") % data
LOG.debug(msg)
return msg
ips = []
for fixed_ip in data:
if not isinstance(fixed_ip, dict):
msg = _("Invalid data format for fixed IP: '%s'") % fixed_ip
LOG.debug(msg)
return msg
if 'ip_address' in fixed_ip:
# Ensure that duplicate entries are not set - just checking IP
# suffices. Duplicate subnet_id's are legitimate.
fixed_ip_address = fixed_ip['ip_address']
if fixed_ip_address in ips:
msg = _("Duplicate IP address '%s'") % fixed_ip_address
LOG.debug(msg)
else:
msg = validate_ip_address(fixed_ip_address)
if msg:
return msg
ips.append(fixed_ip_address)
if 'subnet_id' in fixed_ip:
msg = validate_uuid(fixed_ip['subnet_id'])
if msg:
return msg
def validate_nameservers(data, valid_values=None):
if not hasattr(data, '__iter__'):
msg = _("Invalid data format for nameserver: '%s'") % data
LOG.debug(msg)
return msg
hosts = []
for host in data:
# This must be an IP address only
msg = validate_ip_address(host)
if msg:
msg = _("'%(host)s' is not a valid nameserver. %(msg)s") % {
'host': host, 'msg': msg}
LOG.debug(msg)
return msg
if host in hosts:
msg = _("Duplicate nameserver '%s'") % host
LOG.debug(msg)
return msg
hosts.append(host)
def validate_hostroutes(data, valid_values=None):
if not isinstance(data, list):
msg = _("Invalid data format for hostroute: '%s'") % data
LOG.debug(msg)
return msg
expected_keys = ['destination', 'nexthop']
hostroutes = []
for hostroute in data:
msg = _verify_dict_keys(expected_keys, hostroute)
if msg:
return msg
msg = validate_subnet(hostroute['destination'])
if msg:
return msg
msg = validate_ip_address(hostroute['nexthop'])
if msg:
return msg
if hostroute in hostroutes:
msg = _("Duplicate hostroute '%s'") % hostroute
LOG.debug(msg)
return msg
hostroutes.append(hostroute)
def validate_ip_address_or_none(data, valid_values=None):
if data is not None:
return validate_ip_address(data, valid_values)
def validate_subnet(data, valid_values=None):
msg = None
try:
net = netaddr.IPNetwork(validate_no_whitespace(data))
if '/' not in data or (net.version == 4 and str(net) != data):
msg = _("'%(data)s' isn't a recognized IP subnet cidr,"
" '%(cidr)s' is recommended") % {"data": data,
"cidr": net.cidr}
else:
return
except Exception:
msg = _("'%s' is not a valid IP subnet") % data
if msg:
LOG.debug(msg)
return msg
def validate_subnet_or_none(data, valid_values=None):
if data is not None:
return validate_subnet(data, valid_values)
validate_subnet_list = functools.partial(_validate_list_of_items,
validate_subnet)
def validate_regex(data, valid_values=None):
try:
if re.match(valid_values, data):
return
except TypeError:
pass
msg = _("'%s' is not a valid input") % data
LOG.debug(msg)
return msg
def validate_regex_or_none(data, valid_values=None):
if data is not None:
return validate_regex(data, valid_values)
def validate_subnetpool_id(data, valid_values=None):
if data != constants.IPV6_PD_POOL_ID:
return validate_uuid_or_none(data, valid_values)
def validate_subnetpool_id_or_none(data, valid_values=None):
if data is not None:
return validate_subnetpool_id(data, valid_values)
def validate_uuid(data, valid_values=None):
if not uuidutils.is_uuid_like(data):
msg = _("'%s' is not a valid UUID") % data
LOG.debug(msg)
return msg
def validate_uuid_or_none(data, valid_values=None):
if data is not None:
return validate_uuid(data)
validate_uuid_list = functools.partial(_validate_list_of_items,
validate_uuid)
def _validate_dict_item(key, key_validator, data):
# Find conversion function, if any, and apply it
conv_func = key_validator.get('convert_to')
if conv_func:
data[key] = conv_func(data.get(key))
# Find validator function
# TODO(salv-orlando): Structure of dict attributes should be improved
# to avoid iterating over items
val_func = val_params = None
for (k, v) in six.iteritems(key_validator):
if k.startswith('type:'):
# ask forgiveness, not permission
try:
val_func = validators[k]
except KeyError:
msg = _("Validator '%s' does not exist.") % k
LOG.debug(msg)
return msg
val_params = v
break
# Process validation
if val_func:
return val_func(data.get(key), val_params)
def validate_dict(data, key_specs=None):
if not isinstance(data, dict):
msg = _("'%s' is not a dictionary") % data
LOG.debug(msg)
return msg
# Do not perform any further validation, if no constraints are supplied
if not key_specs:
return
# Check whether all required keys are present
required_keys = [key for key, spec in six.iteritems(key_specs)
if spec.get('required')]
if required_keys:
msg = _verify_dict_keys(required_keys, data, False)
if msg:
return msg
# Perform validation and conversion of all values
# according to the specifications.
for key, key_validator in [(k, v) for k, v in six.iteritems(key_specs)
if k in data]:
msg = _validate_dict_item(key, key_validator, data)
if msg:
return msg
def validate_dict_or_none(data, key_specs=None):
if data is not None:
return validate_dict(data, key_specs)
def validate_dict_or_empty(data, key_specs=None):
if data != {}:
return validate_dict(data, key_specs)
def validate_dict_or_nodata(data, key_specs=None):
if data:
return validate_dict(data, key_specs)
def validate_non_negative(data, valid_values=None):
try:
data = int(data)
except (ValueError, TypeError):
msg = _("'%s' is not an integer") % data
LOG.debug(msg)
return msg
if data < 0:
msg = _("'%s' should be non-negative") % data
LOG.debug(msg)
return msg
# Dictionary that maintains a list of validation functions
validators = {'type:dict': validate_dict,
'type:dict_or_none': validate_dict_or_none,
'type:dict_or_empty': validate_dict_or_empty,
'type:dict_or_nodata': validate_dict_or_nodata,
'type:fixed_ips': validate_fixed_ips,
'type:hostroutes': validate_hostroutes,
'type:ip_address': validate_ip_address,
'type:ip_address_or_none': validate_ip_address_or_none,
'type:ip_pools': validate_ip_pools,
'type:mac_address': validate_mac_address,
'type:mac_address_or_none': validate_mac_address_or_none,
'type:nameservers': validate_nameservers,
'type:non_negative': validate_non_negative,
'type:range': validate_range,
'type:regex': validate_regex,
'type:regex_or_none': validate_regex_or_none,
'type:string': validate_string,
'type:string_or_none': validate_string_or_none,
'type:not_empty_string': validate_not_empty_string,
'type:not_empty_string_or_none':
validate_not_empty_string_or_none,
'type:subnet': validate_subnet,
'type:subnet_list': validate_subnet_list,
'type:subnet_or_none': validate_subnet_or_none,
'type:subnetpool_id': validate_subnetpool_id,
'type:subnetpool_id_or_none': validate_subnetpool_id_or_none,
'type:uuid': validate_uuid,
'type:uuid_or_none': validate_uuid_or_none,
'type:uuid_list': validate_uuid_list,
'type:values': validate_values,
'type:boolean': validate_boolean,
'type:list_of_unique_strings': validate_list_of_unique_strings}
def add_validator(validation_type, validator):
"""Dynamically add a validator.
This can be used by clients to add their own, private validators, rather
than directly modifying the data structure. The clients can NOT modify
existing validators.
"""
key = 'type:' + validation_type
if key in validators:
raise KeyError("Validator type %s is already defined", validation_type)
validators[key] = validator