Plugins

The service supports the system of plugins. Plugins must be written in the Python programming language.

Plugin types

There are three sorts of plugins:

  • On event plugin. The plugin is triggered when an event occurs. The plugin should implement a callback function. This function is called on each event of the corresponding type. The set of event types is defined by the service developers.

    Supported event types:

    event type

    description

    monitoring_event

    Event contains monitoring points for sending to a custom monitoring system

    Plugin example:

    """
    Module request monitoring plugin example
    """
    
    import asyncio
    from abc import abstractmethod
    from typing import TypeVar
    
    from aiohttp import ClientSession
    from luna_plugins.base.plugins_meta.base_plugins import BaseEventPlugin
    
    MonitoringPoint = TypeVar("MonitoringPoint")
    LunaApplication = TypeVar("LunaApplication")
    
    
    class BaseRequestMonitoringPlugin(BaseEventPlugin):
        """
        Base class for requests monitoring.
        """
    
        # event name for triggering callback
        eventName = "monitoring_event"
    
        @abstractmethod
        async def flushPointToMonitoring(self, point: "MonitoringPoint", logger) -> None:
            """
            All plugins must realize this method.
    
            This function call after end of request
    
            Args:
                point: point for monitoring
                logger: logger
            """
    
        async def handleEvent(self, points: list["MonitoringPoint"], logger):
            await asyncio.gather(*[self.flushPointToMonitoring(point, logger) for point in points])
    
    
    class RequestMonitoringPlugin(BaseRequestMonitoringPlugin):
        """
        Example plugin sends a request data for monitoring to third-party source.
        Only one instance of this class exist during the program execution.
        """
    
        def __init__(self, app: "LunaApplication"):
            super().__init__(app)
            self.url = "http://127.0.0.1:5020/1/buckets"
            self.session: ClientSession | None = None
            self.bucket = "plugin_test_bucket"
    
        async def close(self):
            """
            Stop plugin.
    
            Close all open connections and ect
            """
            if self.session:
                await self.session.close()
    
        async def initialize(self):
            """
            Initialize plugin.
    
            Close all open connections and ect
            """
            self.session = ClientSession()
            async with self.session.post(f"{self.url}?bucket={self.bucket}") as resp:
                if resp.status not in (201, 409):
                    response = await resp.json()
                    raise RuntimeError(f"failed create bucket, {self.bucket}, response: {response}")
    
        async def flushPointToMonitoring(self, point: "MonitoringPoint", logger) -> None:
            """
            Callback for sending a request monitoring data.
    
            Args:
                point: point for monitoring
                logger: logger
            """
            logger.debug(f"Plugin 'flushPointToMonitoring' get point, series: {point.series}, time: {point.eventTime}")
            msg = {"tags": point.tags, "fields": point.fields}
            async with self.session.post(f"{self.url}/{self.bucket}/objects", json=msg) as resp:
                logger.info(resp.status)
                logger.info(await resp.text())
    

    This plugin demonstrates the sending of a request monitoring data to another service. All monitoring plugins must implement the BaseRequestMonitoringPlugin abstract class.

  • Background plugin. This sort of plugin is intended for background work.

    The background plugin can implement:

    • custom route

    • background monitoring of service resources

    • collaboration of an event plugin and a background plugin (batching monitoring points)

    • connection to other data sources (Redis, RabbitMQ) and their data processing

    Plugin example:

    """
    Module realizes background plugin example
    """
    
    import asyncio
    from asyncio import Task
    
    from luna_plugins.base.plugins_meta.base_plugins import BaseBackgroundHandler, BaseBackgroundPlugin, pluginHTTPResponse
    
    
    class HandlerExample(BaseBackgroundHandler):
        """
        Handler example
        """
    
        async def get(self, request):  # pylint: disable=unused-argument
            """
            Method get example.
    
            Returns:
                response
            """
            return self.response(body="I am teapot", headers={"Content-Type": "text/plain"}, statusCode=418)
    
    
    def anotherHandlerExample(request):  # pylint: disable=unused-argument
        """Standalone handler example"""
        return pluginHTTPResponse(statusCode=200, body="T800", headers={"Content-Type": "text/plain"})
    
    
    class BackgroundPluginExample(BaseBackgroundPlugin):
        """
        Background plugin example.
    
        Create background task and add a route.
        """
    
        def __init__(self, app: "LunaApplication"):
            super().__init__(app)
            self.task: Task | None = None
            self.temperature = 0
    
        async def initialize(self):
            """
            Initialize plugin
            """
            self.addRoute("/teapot", HandlerExample)
            self.addRoute("/teapot/version", anotherHandlerExample, methods={"get"})
    
        async def close(self):
            """
            Stop background process
            Returns:
    
            """
            if self.task:
                self.task.cancel()
    
        async def usefulJob(self):
            """
            Some useful  async work
            """
            while True:
                await asyncio.sleep(1)
                self.temperature = min(100, self.temperature + 1)
                if self.temperature < 100:
                    self.app.ctx.logger.info(f"I boil water, temperature: {self.temperature}")
                else:
                    self.app.ctx.logger.info("boiling water is ready, would you care for a cup of tea?")
    
        async def start(self):
            """
            Run background process
    
            .. warning::
                The function suppose that the process is handle in this coroutine. The coroutine must start
                the process only without awaiting a end of the process
            """
            self.task = asyncio.create_task(self.usefulJob())
    

    This plugin demonstrates background work and implements a route. All background plugins must implement the BaseRequestMonitoringPlugin abstract class.

Matching plugins

Matching plugins intends to speed up matching requests.

Warning

Matching plugins refers only to Luna Python Matcher proxy service.

Enable plugin

If the user implements a plugin, the file with the plugin should be added to the luna_python_matcher/plugins directory of the service. The plugin filename should be added to the LUNA_PYTHON_MATCHER_ACTIVE_PLUGINS/LUNA_MATCHER_PROXY_ACTIVE_PLUGINS configuration setting.

Warning

Every imported from plugin module not abstract class (which realised base plugin class) will be activated. Sometimes a unwary import may lead to import the same class twice. Don’t import plugin modules using top level modules (from plugins.plugin_name.foo import bar, use relative import .foo import bar if possible)

Using plugins with containers

If using containerized application, there are several ways to include the plugins in the container:

  1. Build your own image based on original one. See example Dockerfile below.

  2. Mount plugin files into the container by using –mount flag.

  3. Copy plugin files into the running container, commit changes to the new image (docker commit) and use newly created image.

FROM my-registry/luna-python-matcher:v.0.5.15

COPY --chown=1001:0 my_plugin ./luna_python_matcher/plugins/my_plugin