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Widget messaging protocol, version 1

This is implemented in ipywidgets 6.0.

A Jupyter widget has both a frontend and kernel object communicating with each other using the comm messages provided by the Jupyter kernel messaging protocol. The primary communication that happens is synchronizing widget state, represented in the messages by a dictionary of key-value pairs. The Jupyter widget messaging protocol covers comm messages for the following actions:

  • creating a companion Jupyter widget object through opening a comm
  • synchronizing widget state between the frontend and the kernel companion objects
  • sending custom messages between these objects
  • displaying a widget

For more details on the comm infrastructure, see the Custom messages section of the Jupyter kernel message specification.

Throughout this document, relevant parts of messages to the discussion are quoted, and fields irrelevant to the discussion are not displayed.

Implementing the Jupyter widgets protocol in the kernel

In this section, we concentrate on implementing the Jupyter widget messaging protocol in the kernel.

The jupyter.widget.version comm target

A kernel-side Jupyter widgets library registers the jupyter.widget.version comm target for communicating version information between the frontend and the kernel. When a frontend initializes a Jupyter widgets extension (for example, when a notebook is opened), the frontend widgets extension sends the kernel a comm_open message to the jupyter.widget.version comm target:

{
  'comm_id': 'u-u-i-d',
  'target_name': 'jupyter.widget.version'
}

The kernel widgets implementation should immediately send a message on the opened comm channel containing the semver range of the frontend version of jupyter-js-widgets that it expects to communicate with:

{
  'comm_id': 'u-u-i-d',
  'data': {
    'version': '~2.1.0'
  }
}

The frontend widgets extension then compares the expected semver range with the actual version number and replies with a message on the comm channel giving the validation status and the frontend widgets extension version:

{
  'comm_id': 'u-u-i-d',
  'data': {
    'frontend_version: '2.1.4',
    'validated': true
  }
}

The jupyter.widget comm target

A kernel-side Jupyter widgets library also registers a jupyter.widget comm target for created creating widget comm channels (one per widget instance). State synchronization and custom messages for a particular widget instance are then sent over the created widget comm channel.

Instantiating a widget object

When a widget is instantiated in either the kernel or the frontend, it creates a companion object on the other side by sending a comm_open message to the jupyter.widget comm target.

Reception of a comm_open message from the frontend

When a frontend creates a Jupyter widget, it sends a comm_open message to the kernel:

{
  'comm_id' : 'u-u-i-d',
  'target_name' : 'jupyter.widget',
  'data' : {
    'widget_class': 'some.string'
  }
}

The type of widget to be instantiated is given in the widget_class string.

In the ipywidgets implementation, this string is actually the key in a registry of widget types. In the ipywidgets implementation, widget types are registered in the dictionary with the register decorator. For example the integral progress bar class is registered with @register('Jupyter.IntProgress'). When the widget_class is not in the registry, it is parsed as a module + class string.

Sending a comm_open message upon instantiation of a widget

Symmetrically, when instantiating a widget in the kernel, the kernel widgets library sends a comm_open message to the frontend:

{
  'comm_id' : 'u-u-i-d',
  'target_name' : 'jupyter.widget',
  'data' : {
    <dictionary of widget state>
  }
}

The type of widget to be instantiated in the frontend is determined by the _model_name, _model_module and _model_module_version keys in the state, which respectively stand for the name of the class that must be instantiated in the frontend, the JavaScript module where this class is defined, and a semver range for that module. See the Model State documentation for the serialized state for core Jupyter widgets.

State synchronization

Synchronizing from kernel to frontend: update

When a widget's state changes in the kernel, the changed state keys and values are sent to the frontend over the widget's comm channel using an update message:

{
  'comm_id' : 'u-u-i-d',
  'data' : {
    'method': 'update',
    'state': { <dictionary of widget state> },
    'buffers': [ <optional list of state keys corresponding to binary buffers in the message> ]
  }
}

The state update is split between values that are serializable with JSON (in the data.state dictionary), and binary values (represented in data.buffers).

The data.state value is a dictionary of widget state keys and values that can be serialized to JSON.

Comm messages for state synchronization may contain binary buffers. The optional data.buffers value contains a list of keys corresponding to the binary buffers. For example, if data.buffers is ['x', 'y'], then the first binary buffer is the value of the 'x' state attribute and the second binary buffer is the value of the 'y' state attribute.

See the Model state documentation for the attributes of core Jupyter widgets.

Synchronizing from frontend to kernel: backbone

When a widget's state changes in the frontend, the changed keys are sent to the kernel over the widget's comm channel using a backbone message:

{
  'comm_id' : 'u-u-i-d',
  'data' : {
    'method': 'backbone',
    'sync_data': { <dictionary of widget state> }
    'buffer_keys': [ <optional list of state keys corresponding to binary buffers in the message> ]
  }
}

The state update is split between values that are serializable with JSON (in the data.sync_data dictionary), and binary values (represented in data.buffer_keys).

The data.sync_data value is a dictionary of widget state keys and values that can be serialized to JSON.

Comm messages for state synchronization may contain binary buffers. The data.buffer_keys optional value contains a list of keys corresponding to the binary buffers. For example, if data.buffer_keys is ['x', 'y'], then the first binary buffer is the value of the 'x' state attribute and the second binary buffer is the value of the 'y' state attribute.

State requests: request_state

When a frontend wants to request the full state of a widget, the frontend sends a request_state message:

{
  'comm_id' : 'u-u-i-d',
  'data' : {
    'method': 'request_state'
  }
}

The kernel side of the widget should immediately send an update message with the entire widget state.

Custom messages: custom

Widgets may also send custom comm messages to their counterpart.

{
  'comm_id': 'u-u-i-d',
  'data': {
    'method': 'custom',
    'content': <the specified content>,
  }
}

In the ipywidgets implementation, the Widget.send(content, buffers=None) method will produce these messages.

Displaying widgets

To display a widget in the classic Jupyter notebook, the kernel sends a display comm message to the frontend on the widget's comm channel:

{
  'comm_id': 'u-u-i-d',
  'data': {
    'method': 'display'
  }
}

To display a widget in JupyterLab, the kernel sends a Jupyter iopub display_data message with a special mimetype (where the model_id is the widget's comm channel id):

{
  'data': {
    'application/vnd.jupyter.widget-view+json': {
      'model_id': 'u-u-i-d'
    }
  }
}

In order to display widgets in both the classic notebook and JupyterLab, ipywidgets sends both the display comm message and the iopub display_data message, and omits the text/plain mimetype from the display_data message (so the classic notebook will not show any output from the iopub message).

Widget messaging protocol, version 2

This is implemented in ipywidgets 7.0.

A Jupyter widget has both a frontend and kernel object communicating with each other using the comm messages provided by the Jupyter kernel messaging protocol. The primary communication that happens is synchronizing widget state, represented in the messages by a dictionary of key-value pairs. The Jupyter widget messaging protocol covers comm messages for the following actions:

  • creating a companion Jupyter widget object through opening a comm
  • synchronizing widget state between the frontend and the kernel companion objects
  • sending custom messages between these objects
  • displaying a widget

For more details on the comm infrastructure, see the Custom messages section of the Jupyter kernel message specification.

Throughout this document, relevant parts of messages to the discussion are quoted, and fields irrelevant to the discussion are not displayed.

Highlights of changes from version 1

The jupyter.widget.version comm target and associated version validation messages are gone. Instead, it is up to the package maintainers to ensure that the versions of the packages speak the same widget message protocol. We encourage kernel and frontend package developers to clearly indicate which protocol version the package supports.

While in version 1, binary buffers could only be top level attributes of the state object, now any item in the state can be a binary buffer. All binary buffers that are a descendant of the state object (in a nested object or list) will be removed from an object or replaced by null in a list. The 'path' of each binary buffer and its data are sent separately, so the state object can be reconstructed on the other side of the wire. This change was necessary to allow sending the data for a binary array plus its metadata (shape, type, masks) in one attribute.

The sync update event from the frontend to the kernel was restructured to have the same field names as the event from the kernel to the frontend, namely the method field is 'update' and the state data is in the state attribute.

Widgets are displayed via display_data messages, which now include the version of the schema.

The msg_throttle attribute of models is removed.

Widget state

The core idea of widgets is that some state is automatically synced back and forth between a kernel object and a frontend object. Several fields are assumed to be in every state object:

  • _model_module: the model module
  • _model_module_version: the semver range of the model
  • _model_name: the name of the model
  • _view_module: the view module
  • _view_module_version: the semver range of the view
  • _view_name: the name of the view

These fields are assumed immutable (set at initialization, and never changed).

Implementing the Jupyter widgets protocol in the kernel

In this section, we concentrate on implementing the Jupyter widget messaging protocol in the kernel.

The jupyter.widget comm target

A kernel-side Jupyter widgets library registers a jupyter.widget comm target for creating widget comm channels (one per widget instance). State synchronization and custom messages for a particular widget instance are then sent over the created widget comm channel.

Instantiating a widget object

When a widget is instantiated in either the kernel or the frontend, it creates a companion model on the other side by sending a comm_open message to the jupyter.widget comm target. The comm_open message's metadata gives the version of the widget messaging protocol, i.e., {'version': '2.0.0'}.

{
  'comm_id' : 'u-u-i-d',
  'target_name' : 'jupyter.widget',
  'data' : {
    'state': { <dictionary of widget state> },
    'buffer_paths': [ <list with paths corresponding to the binary buffers> ]
  }
}

The model instantiated on the other side is determined by the _model_module, and _model_module_version, _model_name, _view_module, _view_module_version, and _view_name keys in data.state. Any unspecified keys will be take on the default values given in the relevant model specification.

The data.state value is a dictionary of widget state keys and values that can be serialized to JSON.

Comm messages for state synchronization may contain binary buffers. The data.buffer_paths value contains a list of 'paths' in the data.state object corresponding to the binary buffers. For example, if data.buffer_paths is [['x'], ['y', 'z', 0]], then the first binary buffer is the value of the data.state['x'] attribute and the second binary buffer is the value of the data.state['y']['z'][0] state attribute. A path representing a list value (i.e., last index of the path is an integer) will be null in data.state, and a path representing a dictionary key (i.e., last index of the path is a string) will not exist in data.state.

See the Model State documentation for the serialized state for core Jupyter widgets.

State synchronization

Synchronizing widget state: update

When a widget's state changes in either the kernel or the frontend, the changed state keys and values are sent to the other side over the widget's comm channel using an update message:

{
  'comm_id' : 'u-u-i-d',
  'data' : {
    'method': 'update',
    'state': { <dictionary of widget state> },
    'buffer_paths': [ <list with paths corresponding to the binary buffers> ]
  }
}

The data.state and data.buffer_paths values are the same as in the comm_open case.

See the Model state documentation for the attributes of core Jupyter widgets.

Synchronizing multiple frontends: echo_update

Starting with protocol version 2.1.0, echo_update messages from the kernel to the frontend are optional update messages for echoing state in messages from a frontend to the kernel back out to all the frontends.

{
  'comm_id' : 'u-u-i-d',
  'data' : {
    'method': 'echo_update',
    'state': { <dictionary of widget state> },
    'buffer_paths': [ <list with paths corresponding to the binary buffers> ]
  }
}

The Jupyter comm protocol is asymmetric in how messages flow: messages flow from a single frontend to a single kernel, but messages are broadcast from the kernel to all frontends. In the widget protocol, if a frontend updates the value of a widget, the frontend does not have a way to directly notify other frontends about the state update. The echo_update optional messages enable a kernel to broadcast out frontend updates to all frontends. This can also help resolve the race condition where the kernel and a frontend simultaneously send updates to each other since the frontend now knows the order of kernel updates.

The echo_update messages enable a frontend to optimistically update its widget views to reflect its own changes that it knows the kernel will yet process. These messages are intended to be used as follows:

  1. A frontend model attribute is updated, and the frontend views are optimistically updated to reflect the attribute.
  2. The frontend queues an update message to the kernel and records the message id for the attribute.
  3. The frontend ignores updates to the attribute from the kernel contained in echo_update messages until it gets an echo_update message corresponding to its own update of the attribute (i.e., the parent_header id matches the stored message id for the attribute). It also ignores echo_update updates if it has a pending attribute update to send to the kernel. Once the frontend receives its own echo_update and does not have any more pending attribute updates to send to the kernel, it starts applying attribute updates from echo_update messages.

Since the echo_update update messages are optional, and not all attribute updates may be echoed, it is important that only echo_update updates are ignored in the last step above, and update message updates are always applied.

Implementation note: For attributes where sending back an echo_update is considered too expensive or unnecessary, we have implemented an opt-out mechanism in the ipywidgets package. A model trait can have the echo_update metadata attribute set to False to flag that the kernel should never send an echo_update update for that attribute to the frontends. Additionally, we have a system-wide flag to disable echoing for all attributes via the environment variable JUPYTER_WIDGETS_ECHO. For ipywdgets 7.7, we default JUPYTER_WIDGETS_ECHO to off (disabling all echo messages) and in ipywidgets 8.0 we default JUPYTER_WIDGETS_ECHO to on (enabling echo messages).

State requests: request_state

When a frontend wants to request the full state of a widget, the frontend sends a request_state message:

{
  'comm_id' : 'u-u-i-d',
  'data' : {
    'method': 'request_state'
  }
}

The kernel side of the widget should immediately send an update message with the entire widget state.

Custom messages: custom

Widgets may also send custom comm messages to their counterpart.

{
  'comm_id': 'u-u-i-d',
  'data': {
    'method': 'custom',
    'content': <the specified content>,
  }
}

In the ipywidgets implementation, the Widget.send(content, buffers=None) method will produce these messages.

Displaying widgets

To display a widget, the kernel sends a Jupyter iopub display_data message with the application/vnd.jupyter.widget-view+json mimetype. In this message, the model_id is the comm channel id of the widget to display.

{
  'data': {
    'application/vnd.jupyter.widget-view+json': {
      'model_id': 'u-u-i-d'
      'version_major': 2
      'version_minor': 0
    }
  }
}

Control Widget messaging protocol, version 1.0

This is implemented in ipywidgets 7.7.

The jupyter.widget.control comm target

A kernel-side Jupyter widgets library may optionally register a jupyter.widget.control comm target that is used for fetching all kernel widget state through a single comm message.

State requests: request_states

When a frontend wants to request the full state of all widgets from the kernel in a single message, the frontend sends a request_states message through the jupyter.widget.control comm channel:

{
  'comm_id' : 'u-u-i-d',
  'data' : {
    'method': 'request_states'
  }
}

The kernel handler for the jupyter.widget.control comm target should immediately send an update_states message with all widgets states:

{
  'comm_id' : 'u-u-i-d',
  'data' : {
    'method': 'update_states',
    'states': {
      <widget1 u-u-i-d>: <widget1 state>,
      <widget2 u-u-i-d>: <widget2 state>,
      [...]
    },
    'buffer_paths': [ <list with paths corresponding to the binary buffers> ]
  }
}

Comm messages for state synchronization may contain binary buffers. The data.buffer_paths value contains a list of 'paths' in the data.states object corresponding to the binary buffers. For example, if data.buffer_paths is [['widget-id1', 'x'], ['widget-id2', 'y', 'z', 0]], then the first binary buffer is the value of the data.states['widget-id1']['x'] attribute and the second binary buffer is the value of the data.states['widget-id2']['y']['z'][0] state attribute. A path representing a list value (i.e., last index of the path is an integer) will have a null placeholder in the list in data.states, and a path representing a value for a dictionary key (i.e., last index of the path is a string) will not exist in the dictionary in data.states.

Since the update_states message may be very large, it may be dropped in the communication channel (for example, the message may exceed the websocket message limit size). For that reason, we suggest that frontends fall back to other ways to retrieve state from the kernel if they do not get an update_states reply in a reasonable amount of time.