varlink for python¶
An implementation of the varlink protocol
See https://www.varlink.org for more information about the varlink protocol and interface definition files.
For server implementations use the varlink.Server
class.
For client implementations use the varlink.Client
class.
For installation and examples, see the GIT repository https://github.com/varlink/python.
or the source code of
varlink.tests.test_orgexamplemore
-
class
varlink.
Client
(address=None, resolve_interface=None, resolver=None)[source]¶ Bases:
object
Varlink client class.
>>> with varlink.Client("unix:/run/org.example.ping") as client, client.open('org.example.ping') as connection: >>> assert connection.Ping("Test")["pong"] == "Test"
If the varlink resolver is running:
>>> client = varlink.Client(resolve_interface='com.redhat.logging') >>> print(client.get_interfaces()['com.redhat.logging'].get_description()) # Query and monitor the log messages of a system. interface com.redhat.logging type Entry (cursor: string, time: string, message: string, process: string, priority: string) # Monitor the log. Returns the @initial_lines most recent entries in the # first reply and then continuously replies when new entries are available. method Monitor(initial_lines: int) -> (entries: Entry[]) >>> connection = client.open("com.redhat.logging")
connection now holds an object with all the varlink methods available.
Do varlink method call with varlink arguments and a single varlink return structure wrapped in a namespace class:
>>> ret = connection.Monitor(initial_lines=1) >>> ret namespace(entries=[namespace(cursor='s=[…]', message="req:1 'dhcp4-change' [wlp3s0][…]", priority='critical', process='nm-dispatcher', time='2018-01-29 12:19:59Z')]) >>> ret.entries[0].process 'nm-dispatcher'
Do varlink method call with varlink arguments and a multiple return values in monitor mode, using the “_more” keyword:
>>> for m in connection.Monitor(_more=True): >>> for e in m.entries: >>> print("%s: %s" % (e.time, e.message)) 2018-01-29 12:19:59Z: [system] Activating via systemd: service name='[…] 2018-01-29 12:19:59Z: Starting Network Manager Script Dispatcher Service... 2018-01-29 12:19:59Z: bound to 10.200.159.150 -- renewal in 1423 seconds. 2018-01-29 12:19:59Z: [system] Successfully activated service 'org.freedesktop.nm_dispatcher' 2018-01-29 12:19:59Z: Started Network Manager Script Dispatcher Service. 2018-01-29 12:19:59Z: req:1 'dhcp4-change' [wlp3s0]: new request (6 scripts) 2018-01-29 12:19:59Z: req:1 'dhcp4-change' [wlp3s0]: start running ordered scripts...
“_more” is special to this python varlink binding. If “_more=True”, then the method call does not return a normal namespace wrapped varlink return value, but a generator, which yields the return values and waits (blocks) for the service to return more return values in the generator’s .__next__() call.
-
__init__
(address=None, resolve_interface=None, resolver=None)[source]¶ Creates a Client object to reach the interfaces of a varlink service. For more constructors see the class constructor methods new_with_*() returning an Client object.
- Parameters
address – the exact address like “unix:/run/org.varlink.resolver”
resolve_interface – an interface name, which is resolved with the system wide resolver
resolver – the exact address of the resolver to be used to resolve the interface name
- Raises
ConnectionError – could not connect to the service or resolver
-
add_interface
(interface)[source]¶ Manually add or overwrite an interface definition from an Interface object.
- Parameters
interface – an Interface() object
-
get_interfaces
(socket_connection=None)[source]¶ Returns the a list of Interface objects the service implements.
-
handler
¶ alias of
SimpleClientInterfaceHandler
-
classmethod
new_with_activate
(argv)[source]¶ Creates a Client object to a varlink service server started via socket activation.
- Parameters
argv – executable in argv[0] and parameters in argv[1:] to run the varlink service server via socket activation.
-
classmethod
new_with_address
(address)[source]¶ Creates a Client object to reach the interfaces of a varlink service.
- Parameters
address – the exact address like “unix:/run/org.varlink.resolver”
- Raises
ConnectionError – could not connect to the service or resolver
-
classmethod
new_with_bridge
(argv)[source]¶ Creates a Client object to a varlink service started via the bridge command. The bridge command like “ssh <host> varlink bridge” is executed for every connection. This client object will do IO via stdio to the bridge command.
- Parameters
argv – executable in argv[0] and parameters in argv[1:] to run the varlink service server via the bridge connection.
-
classmethod
new_with_resolved_interface
(interface, resolver_address=None)[source]¶ Creates a Client object to reach the interfaces of a varlink service.
- Parameters
interface – an interface name, which is resolved with the system wide resolver
resolver_address – the exact address of the resolver to be used to resolve the interface name
- Raises
ConnectionError – could not connect to the service or resolver
-
open
(interface_name, namespaced=False, connection=None)[source]¶ Open a new connection and get a client interface handle with the varlink methods installed.
- Parameters
interface_name – an interface name, which the service this client object is connected to, provides.
namespaced – If arguments and return values are instances of SimpleNamespace rather than dictionaries.
connection – If set, get the interface handle for an already opened connection.
- Raises
InterfaceNotFound – if the interface is not found
-
-
class
varlink.
ClientInterfaceHandler
(interface, namespaced=False)[source]¶ Bases:
object
Base class for varlink client, which wraps varlink methods of an interface to the class
-
__init__
(interface, namespaced=False)[source]¶ Base class for varlink client, which wraps varlink methods of an interface.
The object allows to talk to a varlink service, which implements the specified interface transparently by calling the methods. The call blocks until enough messages are received.
For monitor calls with ‘_more=True’ a generator object is returned.
- Parameters
interface – an Interface object
namespaced – if True, varlink methods return SimpleNamespace objects instead of dictionaries
-
-
class
varlink.
SimpleClientInterfaceHandler
(interface, file_or_socket, namespaced=False)[source]¶ Bases:
varlink.client.ClientInterfaceHandler
A varlink client for an interface doing send/write and receive/read on a socket or file stream
-
__init__
(interface, file_or_socket, namespaced=False)[source]¶ Creates an object with the varlink methods of an interface installed.
The object allows to talk to a varlink service, which implements the specified interface transparently by calling the methods. The call blocks until enough messages are received.
For monitor calls with ‘_more=True’ a generator object is returned.
- Parameters
interface – an Interface object
file_or_socket – an open socket or io stream
namespaced – if True, varlink methods return SimpleNamespace objects instead of dictionaries
-
-
class
varlink.
Service
(vendor='', product='', version='', url='', interface_dir='.', namespaced=False)[source]¶ Bases:
object
Varlink service server handler
To use the Service, a global object is instantiated:
>>> service = Service( >>> vendor='Red Hat', >>> product='Manage System Accounts', >>> version='1', >>> interface_dir=os.path.dirname(__file__) >>> )
For the class implementing the methods of a specific varlink interface a decorator is used:
>>> @service.interface('com.redhat.system.accounts') >>> class Accounts: >>> pass
The varlink file corresponding to this interface is loaded from the ‘interface_dir’ specified in the constructor of the Service. It has to end in ‘.varlink’.
Use a
RequestHandler
with your Service object and run aServer
with it.If you want to use your own server with the Service object, split the incoming stream for every null byte and feed it to the
Service.handle()
method. Write any message returned from this generator function to the output stream.>>> for outgoing_message in service.handle(incoming_message): >>> connection.write(outgoing_message)
Note: varlink only handles one method call at a time on one connection.
-
GetInterfaceDescription
(interface)[source]¶ The standardized org.varlink.service.GetInterfaceDescription() varlink method.
-
__init__
(vendor='', product='', version='', url='', interface_dir='.', namespaced=False)[source]¶ Initialize the service with the data org.varlink.service.GetInfo() returns
- Parameters
interface_dir – the directory with the *.varlink files for the interfaces
-
-
class
varlink.
RequestHandler
(request, client_address, server)[source]¶ Bases:
socketserver.StreamRequestHandler
Varlink request handler
To use as an argument for the VarlinkServer constructor. Instantiate your own class and set the class variable service to your global
Service
object.-
service
= None¶
-
-
class
varlink.
Server
(server_address, RequestHandlerClass, bind_and_activate=True)[source]¶ Bases:
socketserver.BaseServer
The same as the standard socketserver.TCPServer, to initialize with a subclass of
RequestHandler
.>>> import varlink >>> import os >>> >>> service = varlink.Service(vendor='Example', product='Examples', version='1', url='http://example.com', >>> interface_dir=os.path.dirname(__file__)) >>> >>> class ServiceRequestHandler(varlink.RequestHandler): >>> service = service >>> >>> @service.interface('com.example.service') >>> class Example: >>> # com.example.service method implementation here … >>> pass >>> >>> server = varlink.ThreadingServer(sys.argv[1][10:], ServiceRequestHandler) >>> server.serve_forever()
-
__init__
(server_address, RequestHandlerClass, bind_and_activate=True)[source]¶ Constructor. May be extended, do not override.
-
address_family
= 2¶
-
allow_reuse_address
= True¶
-
request_queue_size
= 5¶
-
socket_type
= 1¶
-
-
class
varlink.
ThreadingServer
(server_address, RequestHandlerClass, bind_and_activate=True)[source]¶ Bases:
socketserver.ThreadingMixIn
,varlink.server.Server
-
class
varlink.
ForkingServer
(server_address, RequestHandlerClass, bind_and_activate=True)[source]¶ Bases:
socketserver.ForkingMixIn
,varlink.server.Server
-
exception
varlink.
InterfaceNotFound
(interface)[source]¶ Bases:
varlink.error.VarlinkError
The standardized varlink InterfaceNotFound error as a python exception
-
exception
varlink.
MethodNotFound
(method)[source]¶ Bases:
varlink.error.VarlinkError
The standardized varlink MethodNotFound error as a python exception
-
exception
varlink.
MethodNotImplemented
(method)[source]¶ Bases:
varlink.error.VarlinkError
The standardized varlink MethodNotImplemented error as a python exception
-
exception
varlink.
InvalidParameter
(name)[source]¶ Bases:
varlink.error.VarlinkError
The standardized varlink InvalidParameter error as a python exception
-
exception
varlink.
ConnectionError
¶ Bases:
OSError
Connection error.
-
__init__
()¶ Initialize self. See help(type(self)) for accurate signature.
-
-
class
varlink.
VarlinkEncoder
(*, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, sort_keys=False, indent=None, separators=None, default=None)[source]¶ Bases:
json.encoder.JSONEncoder
The Encoder used to encode JSON
-
default
(o)[source]¶ Implement this method in a subclass such that it returns a serializable object for
o
, or calls the base implementation (to raise aTypeError
).For example, to support arbitrary iterators, you could implement default like this:
def default(self, o): try: iterable = iter(o) except TypeError: pass else: return list(iterable) # Let the base class default method raise the TypeError return JSONEncoder.default(self, o)
-
-
exception
varlink.
VarlinkError
(message, namespaced=False)[source]¶ Bases:
Exception
The base class for varlink error exceptions
-
class
varlink.
Interface
(description)[source]¶ Bases:
object
Class for a parsed varlink interface definition.
-
class
varlink.
Scanner
(string)[source]¶ Bases:
object
Class for scanning a varlink interface definition.
Example¶
Server and Client example of varlink for python
From the main git repository directory run:
$ PYTHONPATH=$(pwd) python3 ./varlink/tests/test_orgexamplemore.py
or:
$ PYTHONPATH=$(pwd) python3 ./varlink/tests/test_orgexamplemore.py --varlink="unix:@test" &
Listening on @test
[1] 6434
$ PYTHONPATH=$(pwd) python3 ./varlink/tests/test_orgexamplemore.py --client --varlink="unix:@test"
[...]
Testing¶
-
varlink.mock.
mockedservice
(fake_service=None, fake_types=None, address='unix:@test', name=None, vendor='varlink', product='mock', version=1, url='http://localhost')[source]¶ Varlink mocking service
To mock a fake service and merely test your varlink client against.
The mocking feature is for testing purpose, it’s allow you to test your varlink client against a fake service which will returned self handed result defined in your object who will be mocked.
Example:
>>> import unittest >>> from varlink import mock >>> import varlink >>> >>> >>> types = ''' >>> type MyPersonalType ( >>> foo: string, >>> bar: string, >>> ) >>> ''' >>> >>> >>> class Service(): >>> >>> def Test1(self, param1: int) -> dict: >>> ''' >>> return test: MyPersonalType >>> ''' >>> return { >>> "test": { >>> "foo": "bim", >>> "bar": "boom" >>> } >>> } >>> >>> def Test2(self, param1: str) -> dict: >>> ''' >>> return (test: string) >>> ''' >>> return {"test": param1} >>> >>> def Test3(self, param1: int) -> dict: >>> ''' >>> return (test: int, boom: string, foo: string, bar: 42) >>> ''' >>> return { >>> "test": param1 * 2, >>> "boom": "foo", >>> "foo": "bar", >>> "bar": 42, >>> } >>> >>> >>> class TestMyClientWithMockedService(unittest.TestCase): >>> >>> @mock.mockedservice( >>> fake_service=Service, >>> fake_types=types, >>> name='org.service.com', >>> address='unix:@foo' >>> ) >>> def test_my_client_against_a_mock(self): >>> with varlink.Client("unix:@foo") as client: >>> connection = client.open('org.service.com') >>> self.assertEqual( >>> connection.Test1(param1=1)["test"]["bar"], "boom") >>> self.assertEqual( >>> connection.Test2(param1="foo")["test"], "foo") >>> self.assertEqual( >>> connection.Test3(param1=6)["test"], 12) >>> self.assertEqual( >>> connection.Test3(param1=6)["bar"], 42)
First you need to define a sample class that will be passed to your decorator mock.mockedservice and then a service will be initialized and launched automatically, and after that you just need to connect your client to him and to establish your connection then now you can call your methods and it will give you the expected result.
You can also mock some types too, to help you to mock more complex service and interfaces like podman by example.
You can define the return type by using the method docstring like the method Test1 in our previous example.
The mocking module is only compatible with python 3 or higher version of python because this module require annotation to generate interface description.
If you try to use it with python 2.x it will raise an
ImportError
.