Skip to main content

A registry to keep track of, and retrieve, Ophyd objects.

Project description

Ophyd Registry

Python Tests

A registry to keep track of, and retrieve, Ophyd objects.

The Ophyd registry provides a way to keep track of the devices (including components, motors, signals, etc.) that have been defined across a project. In order for the registry to know of a device, that device must first be registered, though there are ways to do this automatically.

This allows for a simple way to keep track of the Ophyd devices that were created in your project.

import ophyd
from ophydregistry import OphydRegistry

# Register the devices when they're created
registry = OphydRegistry()
registry.register(ophyd.sim.motor)

# Then elsewhere in your project, use them...
registry['motor'].set(15.3)

Installation

The easiest way to install the ophyd registry is with pip from PyPI:

python -m pip install ophyd-registry

To create a developer installation:

git clone https://github.com/spc-group/ophyd-registry.git
python -m pip install "ophyd_registry[dev]"

Usage

Registering Devices

There are three ways to have an instrument registry know about a device.

  1. Implicitly capture all Ophyd objects
  2. Register a device class
  3. Register individual objects

By default, a new instrument registry will alert itself to all future devices:

from ophydregistry import Registry
registry = Registry()

the_device = MyDevice("255id:Dev:", name="my_device")

assert registry.find("my_device") is the_device

This greedy behavior can be suppressed with the auto_register parameter. If auto_register is false, then a device class can be decorated to allow the registry to find it:

from ophyd import Device
from ophydregistry import Registry

registry = Registry(auto_register=False)

@registry.register
class MyDevice(Device):
    ...

the_device = MyDevice("255id:Dev:", name="my_device")

assert registry.find("my_device") is the_device

Lastly, individual instantions of a device can be explicitly registered.

from ophyd import Device
from ophydregistry import Registry

registry = Registry(auto_register=False)

class MyDevice(Device):
    ...

the_device = MyDevice("255id:Dev:", name="my_device")
registry.register(the_device)

assert registry.find("my_device") is the_device

Looking Up Registered Devices/Components

Registered objects can be found by name, label, or both. The easist way is to treat the registry like a dictionary: registry['motor1']. This will look for an individual device first by name then by label. It will raise an exception if the number of devices is not 1.

For more sophisticated queries, the Registry.find() method will return a single result, while Registry.findall() returns more than one. By default, findall() will raise an exception if no objects match the criteria, but this can be overridden with the allow_none keyword argument.

The registry uses the built-in concept of device labels in Ophyd. The registry's find() and findall() methods allows devices to be looked up by label or device name. For example, assuming four devices exist with the label "ion_chambers", then these devices can be retrieved using the registry:

ion_chambers = registry.findall(label="ion_chambers")
assert len(ion_chambers) == 4

Devices can also be found by name:

ion_chambers = registry.find(name="I0")
assert len(ion_chambers) == 4

A set of the root devices, those without a parent, can be retrieved at Registry.root_devices.

Looking Up Sub-Components by Dot-Notation

For simple devices, the full name of the sub-component should be enough to retrieve the device. For example, to find the signal preset_time on the device named "vortex_me4", the following may work fine:

preset_time = haven.registry.find("vortex_me4_preset_time")

However, if the component is lazy and has not been accessed prior to being registered, then it will not be available in the registry. Sub-components can instead be accessed by dot notation. Unlike the full device name, dot-notation names only resolve when the component is requested from the registry, at which point the lazy components can be accessed.

For example, area detectors use many lazy components. If sim_det is an area detector with a camera component sim_det.cam, then the name of the gain channel is "sim_det_cam_gain", however this is a lazy component so is not available. Instead, retrieving the device by haven.registry.find("sim_det.cam.gain") will first find the area detector ("sim_det"), then access the cam attribute, and then cam's gain attribute. This has the side-effect of instantiating the lazy components.

Removing Devices

The OphydRegistry class behaves similarly to a python dictionary.

To remove all devices from the registry, use the clear() method:

registry.clear()

To remove individual objects, use either the del keyword, or the pop() method. These approaches work with either the OphydObject instance itself, or the instance's name:

# Just delete the item and move on
# (by name)
del registry["motor1"]
del registry[motor]

# Remove the item and use it
# (return ``None`` if motor1 is not in the registry)
registry.pop("motor1", None)

Integrating with Typhos

Typhos includes a PyDM plugin that can directly interact with ophyd devices. It requires ophyd objects to be registered in order to find them. ophyd_registry can automatically register devices with Typhos by simply passing the use_typhos argument when creating the registry:

.. code:: python

from ophydregistry import Registry
registry = Registry(use_typos=True)

or setting the use_typhos attribute on an existing registry:

.. code:: python

from ophydregistry import Registry
registry = Registry()
registry.use_typhos = True

If using the typhos registry, calling the clear() method on the ophyd registry will also clear the Typhos registry.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ophyd-registry-1.0.0.tar.gz (10.3 kB view hashes)

Uploaded Source

Built Distribution

ophyd_registry-1.0.0-py3-none-any.whl (11.2 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page