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#
# Copyright (c) 2015 OpenStack Foundation.
# All Rights Reserved.
#
# 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 abc
import ast
from collections.abc import Callable, Mapping, MutableMapping, Sequence
import inspect
from typing import Any, TypeAlias, TypeVar, TYPE_CHECKING, overload
from oslo_context import context
import stevedore
from typing_extensions import Self
if TYPE_CHECKING:
from typing_extensions import Self
from oslo_policy.policy import Enforcer
CredsT: TypeAlias = context.RequestContext | MutableMapping[str, Any]
TargetT: TypeAlias = Mapping[str, Any]
registered_checks: dict[str | None, 'type[Check]'] = {}
extension_checks: dict[str, 'Callable[..., Check]'] | None = None
def get_extensions() -> dict[str, 'Callable[..., Check]']:
global extension_checks
if extension_checks is None:
em: stevedore.ExtensionManager[Check]
em = stevedore.ExtensionManager(
'oslo.policy.rule_checks', invoke_on_load=False
)
extension_checks = {
extension.name: extension.plugin for extension in em
}
return extension_checks
def _check(
rule: 'BaseCheck',
target: TargetT,
creds: MutableMapping[str, Any],
enforcer: 'Enforcer',
current_rule: str | None,
) -> bool:
"""Evaluate the rule.
This private method is meant to be used by the enforcer to call
the rule. It can also be used by built-in checks that have nested
rules.
We use a private function because it makes it easier to change the
API without having an impact on subclasses not defined within the
oslo.policy library.
We don't put this logic in Enforcer.enforce() and invoke that
method recursively because that changes the BaseCheck API to
require that the enforcer argument to __call__() be a valid
Enforcer instance (as evidenced by all of the breaking unit
tests).
We don't put this in a private method of BaseCheck because that
propagates the problem of extending the list of arguments to
__call__() if subclasses change the implementation of the
function.
:param rule: A check object.
:param target: Attributes of the object of the operation.
:param creds: Attributes of the user performing the operation.
:param enforcer: The Enforcer being used.
:param current_rule: The name of the policy being checked.
"""
# Evaluate the rule so we can check if the rule argument must be included
# or not
argspec = inspect.getfullargspec(rule.__call__)
if len(argspec.args) > 4:
return rule(target, creds, enforcer, current_rule)
else: # legacy code path
return rule(target, creds, enforcer)
class BaseCheck(metaclass=abc.ABCMeta):
"""Abstract base class for Check classes."""
scope_types: list[str] | None = None
def __eq__(self, other: Any) -> bool:
"""Compare objects."""
return (
type(self) is type(other) and self.scope_types == other.scope_types
)
@abc.abstractmethod
def __str__(self) -> str:
"""String representation of the Check tree rooted at this node."""
@abc.abstractmethod
def __call__(
self,
target: TargetT,
creds: MutableMapping[str, Any],
enforcer: 'Enforcer',
current_rule: str | None = None,
) -> bool:
"""Triggers if instance of the class is called.
Performs the check. Returns False to reject the access or a
true value (not necessary True) to accept the access.
"""
class FalseCheck(BaseCheck):
"""A policy check that always returns ``False`` (disallow)."""
def __str__(self) -> str:
"""Return a string representation of this check."""
return '!'
def __call__(
self,
target: TargetT,
creds: MutableMapping[str, Any],
enforcer: 'Enforcer',
current_rule: str | None = None,
) -> bool:
"""Check the policy."""
return False
class TrueCheck(BaseCheck):
"""A policy check that always returns ``True`` (allow)."""
def __str__(self) -> str:
"""Return a string representation of this check."""
return '@'
def __call__(
self,
target: TargetT,
creds: MutableMapping[str, Any],
enforcer: 'Enforcer',
current_rule: str | None = None,
) -> bool:
"""Check the policy."""
return True
class Check(BaseCheck):
def __init__(self, kind: str, match: str) -> None:
self.kind = kind
self.match = match
def __eq__(self, other: Any) -> bool:
return (
type(self) is type(other)
and self.kind == other.kind
and self.match == other.match
)
def __str__(self) -> str:
"""Return a string representation of this check."""
return f'{self.kind}:{self.match}'
class NotCheck(BaseCheck):
def __init__(self, rule: TrueCheck | FalseCheck | Check) -> None:
self.rule = rule
def __eq__(self, other: Any) -> bool:
return type(self) is type(other) and self.rule == other.rule
def __str__(self) -> str:
"""Return a string representation of this check."""
return f'not {self.rule}'
def __call__(
self,
target: TargetT,
creds: MutableMapping[str, Any],
enforcer: 'Enforcer',
current_rule: str | None = None,
) -> bool:
"""Check the policy.
Returns the logical inverse of the wrapped check.
"""
return not _check(self.rule, target, creds, enforcer, current_rule)
class AndCheck(BaseCheck):
def __init__(self, rules: Sequence[BaseCheck]) -> None:
self.rules = list(rules)
def __eq__(self, other: Any) -> bool:
return type(self) is type(other) and self.rules == other.rules
def __str__(self) -> str:
"""Return a string representation of this check."""
return '({})'.format(' and '.join(str(r) for r in self.rules))
def __call__(
self,
target: TargetT,
creds: MutableMapping[str, Any],
enforcer: 'Enforcer',
current_rule: str | None = None,
) -> bool:
"""Check the policy.
Requires that all rules accept in order to return True.
"""
for rule in self.rules:
if not _check(rule, target, creds, enforcer, current_rule):
return False
return True
def add_check(self, rule: BaseCheck) -> 'Self':
"""Adds rule to be tested.
Allows addition of another rule to the list of rules that will
be tested.
:returns: self
:rtype: :class:`.AndCheck`
"""
self.rules.append(rule)
return self
class OrCheck(BaseCheck):
def __init__(self, rules: Sequence[BaseCheck]) -> None:
self.rules = list(rules)
def __eq__(self, other: Any) -> bool:
return type(self) is type(other) and self.rules == other.rules
def __str__(self) -> str:
"""Return a string representation of this check."""
return '({})'.format(' or '.join(str(r) for r in self.rules))
def __call__(
self,
target: TargetT,
creds: MutableMapping[str, Any],
enforcer: 'Enforcer',
current_rule: str | None = None,
) -> bool:
"""Check the policy.
Requires that at least one rule accept in order to return True.
"""
for rule in self.rules:
if _check(rule, target, creds, enforcer, current_rule):
return True
return False
def add_check(self, rule: BaseCheck) -> Self:
"""Adds rule to be tested.
Allows addition of another rule to the list of rules that will
be tested. Returns the OrCheck object for convenience.
"""
self.rules.append(rule)
return self
def pop_check(self) -> tuple[Self, BaseCheck]:
"""Pops the last check from the list and returns them
:returns: self, the popped check
:rtype: :class:`.OrCheck`, class:`.Check`
"""
check = self.rules.pop()
return self, check
F = TypeVar('F', bound=type[Check])
@overload
def register(name: str | None, func: None = None) -> Callable[[F], F]: ...
@overload
def register(name: str | None, func: F) -> F: ...
def register(name: str | None, func: F | None = None) -> F | Callable[[F], F]:
"""Register a check class with the given name.
Can be used as:
- Direct call: register('spam', TestCheck)
- Decorator: @register('spam')
"""
def decorator(func: F) -> F:
registered_checks[name] = func
return func
if func is not None:
# Direct call pattern: register('spam', TestCheck)
return decorator(func)
# Decorator pattern: @register('spam')
return decorator
@register('rule')
class RuleCheck(Check):
def __call__(
self,
target: TargetT,
creds: MutableMapping[str, Any],
enforcer: 'Enforcer',
current_rule: str | None = None,
) -> bool:
try:
return _check(
rule=enforcer.rules[self.match],
target=target,
creds=creds,
enforcer=enforcer,
current_rule=current_rule,
)
except KeyError:
# We don't have any matching rule; fail closed
return False
@register('role')
class RoleCheck(Check):
"""Check that there is a matching role in the ``creds`` dict."""
def __call__(
self,
target: TargetT,
creds: MutableMapping[str, Any],
enforcer: 'Enforcer',
current_rule: str | None = None,
) -> bool:
try:
match = self.match % target
except KeyError:
# While doing RoleCheck if key not
# present in Target return false
return False
if 'roles' in creds:
return match.lower() in [x.lower() for x in creds['roles']]
return False
@register(None)
class GenericCheck(Check):
"""Check an individual match.
Matches look like:
- tenant:%(tenant_id)s
- role:compute:admin
- True:%(user.enabled)s
- 'Member':%(role.name)s
"""
@classmethod
def _find_in_dict(
cls,
test_value: MutableMapping[str, Any],
path_segments: list[str],
match: str,
) -> bool:
"""Searches for a match in the dictionary.
test_value is a reference inside the dictionary. Since the process is
recursive, each call to _find_in_dict will be one level deeper.
path_segments is the segments of the path to search. The recursion
ends when there are no more segments of path.
When specifying a value inside a list, each element of the list is
checked for a match. If the value is found within any of the sub lists
the check succeeds; The check only fails if the entry is not in any of
the sublists.
"""
if len(path_segments) == 0:
return match == str(test_value)
key, path_segments = path_segments[0], path_segments[1:]
try:
test_value = test_value[key]
except KeyError:
return False
if isinstance(test_value, list):
for val in test_value:
if cls._find_in_dict(val, path_segments, match):
return True
return False
else:
return cls._find_in_dict(test_value, path_segments, match)
def __call__(
self,
target: TargetT,
creds: MutableMapping[str, Any],
enforcer: 'Enforcer',
current_rule: str | None = None,
) -> bool:
try:
match = self.match % target
except KeyError:
# While doing GenericCheck if key not
# present in Target return false
return False
try:
# Try to interpret self.kind as a literal
test_value = ast.literal_eval(self.kind)
return match == str(test_value)
except ValueError:
pass
path_segments = self.kind.split('.')
return self._find_in_dict(creds, path_segments, match)
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