Deeper Dive: ACA-Py Plug-Ins¶
ACA-Py plugins enable standardized extensibility without overloading the core ACA-Py code base. Plugins may be features that you create specific to your deployment, or that you deploy from the ACA-Py Plugins "Store". Visit the Plugins Store to find all of the open source plugins that have been contributed.
What's in a Plug-In and How Does They Work?¶
Plug-ins are loaded on ACA-Py startup based on the following parameters:
--plugin
- identifies the plug-in library to load--block-plugin
- identifies plug-ins (including built-ins) that are not to be loaded--plugin-config
- identify a configuration parameter for a plug-in--plugin-config-value
- identify a value for a plug-in configuration
The --plug-in
parameter specifies a package that is loaded by ACA-Py at runtime, and extends ACA-Py by adding support for additional protocols and message types, and/or extending the Admin API with additional endpoints.
The original plug-in design (which we will call the "old" model) explicitly included message_types.py
routes.py
(to add Admin API's). But functionality was added later (we'll call this the "new" model) to allow the plug-in to include a generic setup
package that could perform arbitrary initialization. The "new" model also includes support for a definition.py
file that can specify plug-in version information (major/minor plug-in version, as well as the minimum supported version (if another agent is running an older version of the plug-in)).
You can discover which plug-ins are installed in an ACA-Py instance by calling (in the "server" section) the GET /plugins
endpoint. (Note that this will return all loaded protocols, including the built-ins. You can call the GET /status/config
to inspect the ACA-Py configuration, which will include the configuration for the external plug-ins.)
setup method¶
If a setup method is provided, it will be called. If not, the message_types.py
and routes.py
will be explicitly loaded.
This would be in the package/module __init__.py
:
TODO I couldn't find an implementation of a custom setup
in any of the existing plug-ins, so I'm not completely sure what are the best practices for this option.
message_types.py¶
When loading a plug-in, if there is a message_types.py
available, ACA-Py will check the following attributes to initialize the protocol(s):
MESSAGE_TYPES
- identifies message types supported by the protocolCONTROLLERS
- identifies protocol controllers
routes.py¶
If routes.py
is available, then ACA-Py will call the following functions to initialize the Admin endpoints:
register()
- registers routes for the new Admin endpointsregister_events()
- registers an events this package will listen for/respond to
definition.py¶
If definition.py
is available, ACA-Py will read this package to determine protocol version information. An example follows (this is an example that specifies two protocol versions):
versions = [
{
"major_version": 1,
"minimum_minor_version": 0,
"current_minor_version": 0,
"path": "v1_0",
},
{
"major_version": 2,
"minimum_minor_version": 0,
"current_minor_version": 0,
"path": "v2_0",
},
]
The attributes are:
major_version
- specifies the protocol major versioncurrent_minor_version
- specifies the protocol minor versionminimum_minor_version
- specifies the minimum supported version (if a lower version is installed in another agent)path
- specifies the sub-path within the package for this version
Loading ACA-Py Plug-Ins at Runtime¶
The load sequence for a plug-in (the "Startup" class depends on how ACA-Py is running - upgrade
, provision
or start
):
sequenceDiagram
participant Startup
Note right of Startup: Configuration is loaded on startup<br/>from ACA-Py config params
Startup->>+ArgParse: configure
ArgParse->>settings: ["external_plugins"]
ArgParse->>settings: ["blocked_plugins"]
Startup->>+Conductor: setup()
Note right of Conductor: Each configured plug-in is validated and loaded
Conductor->>DefaultContext: build_context()
DefaultContext->>DefaultContext: load_plugins()
DefaultContext->>+PluginRegistry: register_package() (for built-in protocols)
PluginRegistry->>PluginRegistry: register_plugin() (for each sub-package)
DefaultContext->>PluginRegistry: register_plugin() (for non-protocol built-ins)
loop for each external plug-in
DefaultContext->>PluginRegistry: register_plugin()
alt if a setup method is provided
PluginRegistry->>ExternalPlugIn: has setup
else if routes and/or message_types are provided
PluginRegistry->>ExternalPlugIn: has routes
PluginRegistry->>ExternalPlugIn: has message_types
end
opt if definition is provided
PluginRegistry->>ExternalPlugIn: definition()
end
end
DefaultContext->>PluginRegistry: init_context()
loop for each external plug-in
alt if a setup method is provided
PluginRegistry->>ExternalPlugIn: setup()
else if a setup method is NOT provided
PluginRegistry->>PluginRegistry: load_protocols()
PluginRegistry->>PluginRegistry: load_protocol_version()
PluginRegistry->>ProtocolRegistry: register_message_types()
PluginRegistry->>ProtocolRegistry: register_controllers()
end
PluginRegistry->>PluginRegistry: register_protocol_events()
end
Conductor->>Conductor: load_transports()
Note right of Conductor: If the admin server is enabled, plug-in routes are added
Conductor->>AdminServer: create admin server if enabled
Startup->>Conductor: start()
Conductor->>Conductor: start_transports()
Conductor->>AdminServer: start()
Note right of Startup: the following represents an<br/>admin server api request
Startup->>AdminServer: setup_context() (called on each request)
AdminServer->>PluginRegistry: register_admin_routes()
loop for each external plug-in
PluginRegistry->>ExternalPlugIn: routes.register() (to register endpoints)
end
Developing a New Plug-In¶
When developing a new plug-in:
- If you are providing a new protocol or defining message types, you should include a
definition.py
file. - If you are providing a new protocol or defining message types, you should include a
message_types.py
file. - If you are providing additional Admin endpoints, you should include a
routes.py
file. - If you are providing any other functionality, you should provide a
setup.py
file to initialize the custom functionality. No guidance is currently available for this option.
PIP vs Poetry Support¶
Most ACA-Py plug-ins provide support for installing the plug-in using poetry. It is recommended to include support in your package for installing using either pip or poetry, to provide maximum support for users of your plug-in.
Plug-In Demo¶
TBD
ACA-Py Plug-ins Repository¶
Checkout the "Plugins" tab in the ACA-Py Plugins "Store" to find a list of plugins that might be useful in your deployment. Instructions are included for how you can contribute your plugin to the list.
References¶
The following links may be helpful or provide additional context for the current plug-in support. (These are links to issues or pull requests that were raised during plug-in development.)
Configuration params:
- https://github.com/hyperledger/aries-cloudagent-python/issues/1121
- https://hackmd.io/ROUzENdpQ12cz3UB9qk1nA
- https://github.com/hyperledger/aries-cloudagent-python/pull/1226
Loading plug-ins:
Versioning for plug-ins: