# 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. elif 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