Bases: fixtures.fixture.Fixture
Helps short circuit the external http call
Prepare the Fixture for use.
This should not be overridden. Concrete fixtures should implement _setUp. Overriding of setUp is still supported, just not recommended.
After setUp has completed, the fixture will have one or more attributes which can be used (these depend totally on the concrete subclass).
MultipleExceptions if _setUp fails. The last exception captured within the MultipleExceptions will be a SetupError exception.
None.
The recommendation to override setUp has been reversed - before 1.3, setUp() should be overridden, now it should not be.
BaseException is now caught, and only subclasses of Exception are wrapped in MultipleExceptions.
Bases: fixtures.fixture.Fixture
Helps short circuit the external http call
Prepare the Fixture for use.
This should not be overridden. Concrete fixtures should implement _setUp. Overriding of setUp is still supported, just not recommended.
After setUp has completed, the fixture will have one or more attributes which can be used (these depend totally on the concrete subclass).
MultipleExceptions if _setUp fails. The last exception captured within the MultipleExceptions will be a SetupError exception.
None.
The recommendation to override setUp has been reversed - before 1.3, setUp() should be overridden, now it should not be.
BaseException is now caught, and only subclasses of Exception are wrapped in MultipleExceptions.
Find the options available via the given namespaces.
namespaces – a list of namespaces registered under ‘oslo.policy.policies’
a dict of {namespace1: [rule_default_1, rule_default_2], namespace2: [rule_default_3]…}
Return a list of oslo.config options available in the library.
The returned list includes all oslo.config options which may be registered at runtime by the library. Each element of the list is a tuple. The first element is the name of the group under which the list of elements in the second element will be registered. A group name of None corresponds to the [DEFAULT] group in config files. This function is also discoverable via the ‘oslo_messaging’ entry point under the ‘oslo.config.opts’ namespace. The purpose of this is to allow tools like the Oslo sample config file generator to discover the options exposed to users by this library.
a list of (group_name, opts) tuples
Set defaults for configuration variables.
Overrides default options values.
conf (oslo.config.cfg.ConfigOpts) – Configuration object, managed by the caller.
policy_file (unicode) – The base filename for the file that defines policies.
kwargs – Any other configuration variable and their new default value.
Common Policy Engine Implementation
Policies are expressed as a target and an associated rule:
"<target>": <rule>
The target is specific to the service that is conducting policy enforcement. Typically, the target refers to an API call.
For the <rule> part, see Policy Rule Expressions.
Policy rules can be expressed in one of two forms: a string written in the new policy language or a list of lists. The string format is preferred since it’s easier for most people to understand.
In the policy language, each check is specified as a simple “a:b” pair that is matched to the correct class to perform that check:
TYPE |
SYNTAX |
---|---|
User’s Role |
role:admin |
Rules already defined on policy |
rule:admin_required |
Against URLs¹ |
|
User attributes² |
project_id:%(target.project.id)s |
Strings |
|
Literals |
|
¹URL checking must return True
to be valid
²User attributes (obtained through the token): user_id, domain_id or project_id
Conjunction operators and
and or
are available, allowing for more
expressiveness in crafting policies. For example:
"role:admin or (project_id:%(project_id)s and role:projectadmin)"
The policy language also has the not
operator, allowing a richer
policy rule:
"project_id:%(project_id)s and not role:dunce"
Operator precedence is below:
PRECEDENCE |
TYPE |
EXPRESSION |
---|---|---|
4 |
Grouping |
(…) |
3 |
Logical NOT |
not … |
2 |
Logical AND |
… and … |
1 |
Logical OR |
… or … |
Operator with larger precedence number precedes others with smaller numbers.
In the list-of-lists representation, each check inside the innermost list is combined as with an “and” conjunction – for that check to pass, all the specified checks must pass. These innermost lists are then combined as with an “or” conjunction. As an example, take the following rule, expressed in the list-of-lists representation:
[["role:admin"], ["project_id:%(project_id)s", "role:projectadmin"]]
Finally, two special policy checks should be mentioned; the policy
check “@” will always accept an access, and the policy check “!” will
always reject an access. (Note that if a rule is either the empty
list ([]
) or the empty string (""
), this is equivalent to the “@”
policy check.) Of these, the “!” policy check is probably the most useful,
as it allows particular rules to be explicitly disabled.
A generic check is used to perform matching against attributes that are sent along with the API calls. These attributes can be used by the policy engine (on the right side of the expression), by using the following syntax:
<some_attribute>:%(user.id)s
The value on the right-hand side is either a string or resolves to a string using regular Python string substitution. The available attributes and values are dependent on the program that is using the common policy engine.
All of these attributes (related to users, API calls, and context) can be checked against each other or against constants. It is important to note that these attributes are specific to the service that is conducting policy enforcement.
Generic checks can be used to perform policy checks on the following user attributes obtained through a token:
user_id
domain_id or project_id (depending on the token scope)
list of roles held for the given token scope
Note
Some resources which are exposed by the API do not support policy enforcement by user_id, and only support policy enforcement by project_id. Some global resources do not support policy enforcement by combination of user_id and project_id.
For example, a check on the user_id would be defined as:
user_id:<some_value>
Together with the previously shown example, a complete generic check would be:
user_id:%(user.id)s
It is also possible to perform checks against other attributes that
represent the credentials. This is done by adding additional values to
the creds
dict that is passed to the
enforce()
method.
Special checks allow for more flexibility than is possible using generic
checks. The built-in special check types are role
, rule
, and http
checks.
A role
check is used to check if a specific role is present in the supplied
credentials. A role check is expressed as:
"role:<role_name>"
A rule check
is used to
reference another defined rule by its name. This allows for common
checks to be defined once as a reusable rule, which is then referenced
within other rules. It also allows one to define a set of checks as a
more descriptive name to aid in readability of policy. A rule check is
expressed as:
"rule:<rule_name>"
The following example shows a role check that is defined as a rule, which is then used via a rule check:
"admin_required": "role:admin"
"<target>": "rule:admin_required"
An http
check is used to make an HTTP request to a remote server to
determine the results of the check. The target and credentials are passed to
the remote server for evaluation. The action is authorized if the remote
server returns a response of True
. An http check is expressed as:
"http:<target URI>"
It is expected that the target URI contains a string formatting keyword, where the keyword is a key from the target dictionary. An example of an http check where the name key from the target is used to construct the URL is would be defined as:
"http://server.test/%(name)s"
It is also possible for additional special check types to be registered
using the register()
function.
The following classes can be used as parents for custom special check types:
A default rule can be defined, which will be enforced when a rule does
not exist for the target that is being checked. By default, the rule
associated with the rule name of default
will be used as the default
rule. It is possible to use a different rule name as the default rule
by setting the policy_default_rule
configuration setting to the
desired rule name.
Bases: oslo_policy._checks.BaseCheck
Bases: oslo_policy._checks.BaseCheck
Bases: oslo_policy.policy._BaseRule
Represents a Deprecated policy or rule.
Here’s how you can use it to change a policy’s default role or rule. Assume the following policy exists in code:
from oslo_policy import policy
policy.DocumentedRuleDefault(
name='foo:create_bar',
check_str='role:fizz',
description='Create a bar.',
operations=[{'path': '/v1/bars', 'method': 'POST'}]
)
The next snippet will maintain the deprecated option, but allow
foo:create_bar
to default to role:bang
instead of role:fizz
:
deprecated_rule = policy.DeprecatedRule(
name='foo:create_bar',
check_str='role:fizz'
deprecated_reason='role:bang is a better default',
deprecated_since='N',
)
policy.DocumentedRuleDefault(
name='foo:create_bar',
check_str='role:bang',
description='Create a bar.',
operations=[{'path': '/v1/bars', 'method': 'POST'}],
deprecated_rule=deprecated_rule,
)
DeprecatedRule can be used to change the policy name itself. Assume the following policy exists in code:
from oslo_policy import policy
policy.DocumentedRuleDefault(
name='foo:post_bar',
check_str='role:fizz',
description='Create a bar.',
operations=[{'path': '/v1/bars', 'method': 'POST'}]
)
For the sake of consistency, let’s say we want to replace foo:post_bar
with foo:create_bar
, but keep the same check_str
as the default. We
can accomplish this by doing:
deprecated_rule = policy.DeprecatedRule(
name='foo:post_bar',
check_str='role:fizz'
deprecated_reason='foo:create_bar is more consistent',
deprecated_since='N',
)
policy.DocumentedRuleDefault(
name='foo:create_bar',
check_str='role:fizz',
description='Create a bar.',
operations=[{'path': '/v1/bars', 'method': 'POST'}],
deprecated_rule=deprecated_rule,
)
Finally, let’s use DeprecatedRule to break a policy into more granular policies. Let’s assume the following policy exists in code:
policy.DocumentedRuleDefault(
name='foo:bar',
check_str='role:bazz',
description='Create, read, update, or delete a bar.',
operations=[
{
'path': '/v1/bars',
'method': 'POST'
},
{
'path': '/v1/bars',
'method': 'GET'
},
{
'path': '/v1/bars/{bar_id}',
'method': 'GET'
},
{
'path': '/v1/bars/{bar_id}',
'method': 'PATCH'
},
{
'path': '/v1/bars/{bar_id}',
'method': 'DELETE'
}
]
)
Here we can see the same policy is used to protect multiple operations on bars. This prevents operators from being able to assign different roles to different actions that can be taken on bar. For example, what if an operator wanted to require a less restrictive role or rule to list bars but a more restrictive rule to delete them? The following will introduce a policy that helps achieve that and deprecate the original, overly-broad policy:
deprecated_rule = policy.DeprecatedRule(
name='foo:bar',
check_str='role:bazz'
deprecated_reason=(
'foo:bar has been replaced by more granular policies'
),
deprecated_since='N',
)
policy.DocumentedRuleDefault(
name='foo:create_bar',
check_str='role:bang',
description='Create a bar.',
operations=[{'path': '/v1/bars', 'method': 'POST'}],
deprecated_rule=deprecated_rule,
)
policy.DocumentedRuleDefault(
name='foo:list_bars',
check_str='role:bazz',
description='List bars.',
operations=[{'path': '/v1/bars', 'method': 'GET'}],
deprecated_rule=deprecated_rule,
)
policy.DocumentedRuleDefault(
name='foo:get_bar',
check_str='role:bazz',
description='Get a bar.',
operations=[{'path': '/v1/bars/{bar_id}', 'method': 'GET'}],
deprecated_rule=deprecated_rule,
)
policy.DocumentedRuleDefault(
name='foo:update_bar',
check_str='role:bang',
description='Update a bar.',
operations=[{'path': '/v1/bars/{bar_id}', 'method': 'PATCH'}],
deprecated_rule=deprecated_rule,
)
policy.DocumentedRuleDefault(
name='foo:delete_bar',
check_str='role:bang',
description='Delete a bar.',
operations=[{'path': '/v1/bars/{bar_id}', 'method': 'DELETE'}],
deprecated_rule=deprecated_rule,
)
name – The name of the policy. This is used when referencing it from another rule or during policy enforcement.
check_str – The policy. This is a string defining a policy that conforms to the policy language outlined at the top of the file.
deprecated_reason – indicates why this policy is planned for removal in a future release.
deprecated_since – indicates which release this policy was deprecated in. Accepts any string, though valid version strings are encouraged.
Changed in version 1.29: Added DeprecatedRule object.
Changed in version 3.4: Added deprecated_reason parameter.
Changed in version 3.4: Added deprecated_since parameter.
Bases: oslo_policy.policy.RuleDefault
A class for holding policy-in-code policy objects definitions
This class provides the same functionality as the RuleDefault class, but it also requires additional data about the policy rule being registered. This is necessary so that proper documentation can be rendered based on the attributes of this class. Eventually, all usage of RuleDefault should be converted to use DocumentedRuleDefault.
operations –
List of dicts containing each API URL and corresponding http request method.
Example:
operations=[{'path': '/foo', 'method': 'GET'},
{'path': '/some', 'method': 'POST'}]
Bases: Exception
Bases: object
Responsible for loading and enforcing rules.
conf – A configuration object.
policy_file – Custom policy file to use, if none is specified,
conf.oslo_policy.policy_file
will be used.
rules – Default dictionary / Rules to use. It will be considered just
in the first instantiation. If load_rules()
with
force_reload=True
, clear()
or set_rules()
with
overwrite=True
is called this will be overwritten.
default_rule – Default rule to use, conf.default_rule will be used if none is specified.
use_conf – Whether to load rules from cache or config file.
overwrite – Whether to overwrite existing rules when reload rules from config file.
A wrapper around ‘enforce’ that checks for policy registration.
To ensure that a policy being checked has been registered this method should be used rather than enforce. By doing so a project can be sure that all of it’s used policies are registered and therefore available for sample file generation.
The parameters match the enforce method and a description of them can be found there.
Look for rule definitions that are obviously incorrect.
Clears Enforcer
contents.
This will clear this instances rules, policy’s cache, file cache and policy’s path.
Checks authorization of a rule against the target and credentials.
rule – The rule to evaluate as a string or BaseCheck
.
target – As much information about the object being operated on as possible. The target argument should be a dict instance or an instance of a class that fully supports the Mapping abstract base class.
creds – As much information about the user performing the action
as possible. This parameter can also be an instance of
oslo_context.context.RequestContext
.
do_raise – Whether to raise an exception or not if check fails.
exc – Class of the exception to raise if the check fails.
Any remaining arguments passed to enforce()
(both positional
and keyword arguments) will be passed to the exception class. If
not specified, PolicyNotAuthorized
will be used.
False
if the policy does not allow the action and exc
is not provided; otherwise, returns a value that evaluates to
True
. Note: for rules using the “case” expression, this
True
value will be the specified string from the expression.
Loads policy_path’s rules.
Policy file is cached and will be reloaded if modified.
force_reload – Whether to reload rules from config file.
Registers a RuleDefault.
Adds a RuleDefault to the list of registered rules. Rules must be registered before using the Enforcer.authorize method.
default – A RuleDefault object to register.
Registers a list of RuleDefaults.
Adds each RuleDefault to the list of registered rules. Rules must be registered before using the Enforcer.authorize method.
default – A list of RuleDefault objects to register.
Bases: Exception
Bases: Exception
Bases: Exception
Bases: Exception
Raised when the scope of the request mismatches the policy scope.
Bases: oslo_policy._checks.BaseCheck
Bases: oslo_policy._checks.BaseCheck
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.
Bases: Exception
Default exception raised for policy enforcement failure.
Bases: Exception
Bases: oslo_policy._checks.Check
Bases: oslo_policy.policy._BaseRule
A class for holding policy definitions.
It is required to supply a name and value at creation time. It is encouraged to also supply a description to assist operators.
name – The name of the policy. This is used when referencing it from another rule or during policy enforcement.
check_str – The policy. This is a string defining a policy that conforms to the policy language outlined at the top of the file.
description – A plain text description of the policy. This will be used to comment sample policy files for use by deployers.
deprecated_rule – DeprecatedRule
deprecated_for_removal – indicates whether the policy is planned for removal in a future release.
deprecated_reason – indicates why this policy is planned for removal in a future release. Silently ignored if deprecated_for_removal is False.
deprecated_since – indicates which release this policy was deprecated in. Accepts any string, though valid version strings are encouraged. Silently ignored if deprecated_for_removal is False.
scope_types – A list containing the intended scopes of the operation being done.
Changed in version 1.29: Added deprecated_rule parameter.
Changed in version 1.29: Added deprecated_for_removal parameter.
Changed in version 1.29: Added deprecated_reason parameter.
Changed in version 1.29: Added deprecated_since parameter.
Changed in version 1.31: Added scope_types parameter.
Bases: dict
A store for rules. Handles the default_rule setting directly.
Allow loading of rule data from a dictionary.
Allow loading of YAML/JSON rule data.
New in version 1.5.0.
Parse the raw contents of a policy file.
Parses the contents of a policy file which currently can be in either yaml or json format. Both can be parsed as yaml.
data – A string containing the contents of a policy file.
A dict of the form {'policy_name1': 'policy1',
'policy_name2': 'policy2,...}
Register a function or Check
class as a policy check.
name – Gives the name of the check type, e.g., “rule”,
“role”, etc. If name is None
, a default check type
will be registered.
func – If given, provides the function or class to register. If not given, returns a function taking one argument to specify the function or class to register, allowing use as a decorator.
Bases: object
Flatten a nested dictionary
Converts a dictionary with nested values to a single level flat dictionary, with dotted notation for each key.
Sphinx extension for pretty-formatting policy docs.
Bases: docutils.parsers.rst.Directive
May the directive have content?
Mapping of option names to validator functions.
Generate a sample policy file.
Generate a sample policy file.
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