Files
vppcfg/config/__init__.py
2022-04-24 10:41:35 +00:00

171 lines
6.0 KiB
Python

#!/usr/bin/env python
#
# Copyright (c) 2022 Pim van Pelt
#
# 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.
#
# -*- coding: utf-8 -*-
""" A vppcfg configuration module that exposes its semantic/syntax validators """
from __future__ import (
absolute_import,
division,
print_function,
)
import logging
import ipaddress
import os.path
import sys
try:
import yamale
except ImportError:
print("ERROR: install yamale manually: sudo pip install yamale")
sys.exit(-2)
from yamale.validators import DefaultValidators, Validator
from config.loopback import validate_loopbacks
from config.bondethernet import validate_bondethernets
from config.interface import validate_interfaces
from config.bridgedomain import validate_bridgedomains
from config.vxlan_tunnel import validate_vxlan_tunnels
from config.tap import validate_taps
class IPInterfaceWithPrefixLength(Validator):
"""Custom IPAddress config - takes IP/prefixlen as input:
192.0.2.1/29 or 2001:db8::1/64 are correct. The PrefixLength
is required, and must be a number (0-32 for IPv4 and 0-128 for
IPv6).
"""
tag = "ip_interface"
def _is_valid(self, value):
try:
_network = ipaddress.ip_interface(value)
except:
return False
if not isinstance(value, str):
return False
if not "/" in value:
return False
elems = value.split("/")
if not len(elems) == 2:
return False
if not elems[1].isnumeric():
return False
return True
class Validator:
"""The Validator class takes a schema filename (which may be None, in which
case a built-in default is used), and a given YAML file represented as a string,
and holds it against syntax and semantic validators, returning a tuple of (bool,list)
where the boolean signals success/failure, and the list of strings are messages
that were added when validating the YAML config.
The purpose is to ensure that the YAML file is both syntactically correct,
which is ensured by Yamale, and semantically correct, which is ensured by a set
of built-in validators, and user-added validators (see the add_validator() method)."""
def __init__(self, schema):
self.logger = logging.getLogger("vppcfg.config")
self.logger.addHandler(logging.NullHandler())
self.schema = schema
self.validators = [
validate_bondethernets,
validate_interfaces,
validate_loopbacks,
validate_bridgedomains,
validate_vxlan_tunnels,
validate_taps,
]
def validate(self, yaml):
"""Validate the semantics of all YAML maps, by calling self.validators in turn,
and then optionally calling validators that were added with add_validator()"""
ret_retval = True
ret_msgs = []
if not yaml:
return ret_retval, ret_msgs
validators = DefaultValidators.copy()
validators[IPInterfaceWithPrefixLength.tag] = IPInterfaceWithPrefixLength
if self.schema:
fname = self.schema
self.logger.debug(f"Validating against --schema {fname}")
elif hasattr(sys, "_MEIPASS"):
## See vppcfg.spec data_files that includes schema.yaml into the bundle
self.logger.debug("Validating against built-in schema")
fname = os.path.join(sys._MEIPASS, "schema.yaml")
else:
fname = "./schema.yaml"
self.logger.debug(f"Validating against fallthrough default schema {fname}")
if not os.path.isfile(fname):
self.logger.error(f"Cannot file schema file: {fname}")
return False, ret_msgs
try:
schema = yamale.make_schema(fname, validators=validators)
data = yamale.make_data(content=str(yaml))
yamale.validate(schema, data)
self.logger.debug("Schema correctly validated by yamale")
except ValueError as e:
ret_retval = False
for result in e.results:
for error in result.errors:
ret_msgs.extend([f"yamale: {error}"])
return ret_retval, ret_msgs
self.logger.debug("Validating Semantics...")
for validator in self.validators:
retval, msgs = validator(yaml)
if msgs:
ret_msgs.extend(msgs)
if not retval:
ret_retval = False
if ret_retval:
self.logger.debug("Semantics correctly validated")
return ret_retval, ret_msgs
def valid_config(self, yaml):
"""Validate the given YAML configuration in 'yaml' against syntax
validation given in the yamale 'schema', and all semantic configs.
Returns True if the configuration is valid, False otherwise.
"""
retval, msgs = self.validate(yaml)
if not retval:
for msg in msgs:
self.logger.error(msg)
return False
self.logger.info("Configuration validated successfully")
return True
def add_validator(self, func):
"""Add a validator function, which strictly takes the prototype
rv, msgs = func(yaml)
returning a Boolean success value in rv and a List of strings
in msgs. The function will be passed the configuration YAML and
gets to opine if it's valid or not.
Note: will only be called iff Yamale syntax-check succeeded,
and it will be called after all built-in validators.
"""
self.validators.append(func)