Besides the kind of specialized real-time hardware most of ARTIQ is concerned with the difficult problem of managing, ARTIQ also easily handles more conventional 'slow' devices. This is done through *controllers*, based on `SiPyCO <https://github.com/m-labs/sipyco>`_ (manual hosted `here <https://m-labs.hk/artiq/sipyco-manual/>`_), which expose remote procedure call (RPC) interfaces to the network. This allows experiments to issue RPCs to the controllers as necessary, without needing to do direct I/O to the devices. Some advantages of this architecture include:
Certain devices (such as the PDQ2) may still perform real-time operations by having certain controls physically connected to the core device (for example, the trigger and frame selection signals on the PDQ2). For handling such cases, parts of the support infrastructure may be kernels executed on the core device.
Full support for a specific device, called a network device support package or NDSP, requires several parts:
1. The `driver`, which contains the Python API functions to be called over the network and performs the I/O to the device. The top-level module of the driver should be called ``artiq.devices.XXX.driver``.
2. The `controller`, which instantiates, initializes and terminates the driver, and sets up the RPC server. The controller is a front-end command-line tool to the user and should be called ``artiq.frontend.aqctl_XXX``. A ``setup.py`` entry must also be created to install it.
3. An optional `client`, which connects to the controller and exposes the functions of the driver as a command-line interface. Clients are front-end tools (called ``artiq.frontend.aqcli_XXX``) that have ``setup.py`` entries. In most cases, a custom client is not needed and the generic ``sipyco_rpctool`` utility can be used instead. Custom clients are only required when large amounts of data must be transferred over the network API, that would be unwieldy to pass as ``sipyco_rpctool`` command-line parameters.
4. An optional `mediator`, which is code executed on the client that supplements the network API. A mediator may contain kernels that control real-time signals such as TTL lines connected to the device. Simple devices use the network API directly and do not have a mediator. Mediator modules are called ``artiq.devices.XXX.mediator`` and their public classes are exported at the ``artiq.devices.XXX`` level (via ``__init__.py``) for direct import and use by the experiments.
As an example, we will develop a controller for a "device" that is very easy to work with: the console from which the controller is run. The operation that the driver will implement (and offer as an RPC) is writing a message to that console.
To use RPCs, the functions that a driver provides must be the methods of a single object. We will thus define a class that provides our message-printing method: ::
For a more complex driver, we would place this class definition into a separate Python module called ``driver``. In this example, for simplicity, we can include it in the controller module.
Defining the ``main`` function instead of putting its code directly in the ``if __name__ == "__main__"`` body enables the controller to be used as a setuptools entry point as well.
The parameters ``::1`` and ``3249`` are respectively the address to bind the server to (in this case, we use IPv6 localhost) and the TCP port. Add a line: ::
Clients are small command-line utilities that expose certain functionalities of the drivers. The ``sipyco_rpctool`` utility contains a generic client that can be used in most cases, and developing a custom client is not required. You have already used it above in the form of ``list-targets``. Try these commands: ::
In case you are developing a NDSP that is complex enough to need a custom client, we will see how to develop one. Create a ``aqcli_hello.py`` file with the following contents: ::
We see that the client has made a request to the server, which has, through the driver, performed the requisite I/O with the "device" (its console), resulting in the operation we wanted. Success!
..warning::
Note that RPC servers operate on copies of objects provided by the client, and modifications to mutable types are not written back. For example, if the client passes a list as a parameter of an RPC method, and that method ``append()s`` an element to the list, the element is not appended to the client's list.
To access this driver in an experiment, we can retrieve the ``Client`` instance with the ``get_device`` and ``set_device`` methods of :class:`artiq.language.environment.HasEnvironment`, and then use it like any other device (provided the controller is running and accessible at the time).
Integration with ARTIQ experiments
----------------------------------
Often, we will want to add the device to the ``device_db.py``, so that we can add it simply through ``self.setattr_device`` and so the controller can be started and stopped automatically by a controller manager (the ``artiq_ctlmgr`` utility from ``artiq-comtools``). when using the ARTIQ master. To do so, add an entry to your device database in this format: ::
In order to be correctly started and stopped by a controller manager, your controller must additionally implement a ``ping()`` method, which should simply return true, e.g. ::
If you wish to support remote execution in your controller, you may do so by simply replacing ``simple_server_loop`` with :class:`sipyco.remote_exec.simple_rexec_server_loop`.
Use the Python ``argparse`` module to make the bind address(es) and port configurable on the controller, and the server address, port and message configurable on the client. We suggest naming the controller parameters ``--bind`` (which adds a bind address in addition to a default binding to localhost), ``--no-bind-localhost`` (which disables the default binding to localhost), and ``--port``, so that those parameters stay consistent across controllers. Use ``-s/--server`` and ``--port`` on the client. The ``sipyco.common_args.simple_network_args`` library function adds such arguments for the controller, and the ``sipyco.common_args.bind_address_from_args`` function processes them.
We suggest that you define a function ``get_argparser`` that returns the argument parser, so that it can be used to document the command line parameters using sphinx-argparse.
For debug, information and warning messages, use the ``logging`` Python module and print the log on the standard error output (the default setting). As in other areas, there are five logging levels, from most to least critical, ``CRITICAL``, ``ERROR``, ``WARNING``, ``INFO``, and ``DEBUG``. By default, the logger is created at ``WARNING``, meaning it will print messages of level WARNING and above (and no debug nor information messages). By calling ``sipyco.common_args.verbosity_args`` with the parser as argument, you add support for the ``--verbose`` (``-v``) and ``--quiet`` (``-q``) arguments in your controller. Each occurrence of ``-v`` (resp. ``-q``) in the arguments will increase (resp. decrease) the log level of the logging module. For instance, if only one ``-v`` is present, then more messages (INFO and above) will be printed. If only one ``-q`` is present in the arguments, then ERROR and above will be printed. If ``-qq`` is present in the arguments, then only CRITICAL will be printed.
* Controllers should be able to operate in "simulation" mode, specified with ``--simulation``, where they behave properly even if the associated hardware is not connected. For example, they can print the data to the console instead of sending it to the device, or dump it into a file.
* The device identification (e.g. serial number, or entry in ``/dev``) to attach to must be passed as a command-line parameter to the controller. We suggest using ``-d`` and ``--device`` as parameter name.
* Keep command line parameters consistent across clients/controllers. When adding new command line options, look for a client/controller that does a similar thing and follow its use of ``argparse``. If the original client/controller could use ``argparse`` in a better way, improve it.
* Do not use ``__del__`` to implement the cleanup code of your driver. Instead, define a ``close`` method, and call it using a ``try...finally...`` block in the controller.
We suggest that you create a Git repository for your code, and publish it on https://git.m-labs.hk/, GitLab, GitHub, or a similar website of your choosing. Then send us a message or pull request for your NDSP to be added to :doc:`the list in this manual <list_of_ndsps>`.