action-trees 0.3.7

Action decomposition and execution framework

Action Trees

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Documentation: https://roxautomation.gitlab.io/action-trees

Source Code: https://gitlab.com/roxautomation/action-trees

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Summary

Action Trees is an asyncio-based framework designed for orchestrating hierarchical, asynchronous actions. It enables the structuring of complex processes into manageable, interdependent tasks, facilitating the execution of multi-step workflows either sequentially or in parallel. This framework is particularly suitable for systems that require coordinated, concurrent task management.

The ActionItem class, a key component of the action_trees module, is an abstract base class tailored for managing hierarchical action items, especially in VDA5050 compliant systems. Its main features include:

1. State Management: Manages various states (NONE, WAITING, INITIALIZING, RUNNING, PAUSED, FINISHED, FAILED) for action items, ensuring valid transitions between these states.

2. Exception Handling: Implements custom exceptions (StateTransitionException and ActionFailedException) to handle invalid state transitions and failures in action completion.

3. Task Execution and Management: Supports starting, pausing, resuming, and canceling action items, with an emphasis on asynchronous execution using asyncio.

4. Child Actions Handling: Provides functionality for adding, removing, and managing child action items, enabling a structured, hierarchical approach to action management.

5. Core Method Implementation: Requires subclasses to implement the _on_run abstract method to define the primary behavior of the action item. An optional _on_init method can be implemented for initial setup steps.

Action Trees vs. Behavior Trees

Behavior Trees (BTs) and Action Trees (ATs) use a tree-like structure but have different goals. BTs make choices about what to do next based on current situations, which is great for tasks needing quick decisions. ATs are about executing complex tasks efficiently, with a focus on robust error-handling errors and asynchronous operation. In short, BTs are for making decisions, while ATs are for carrying out tasks effectively.

Example - Coffee maker

Let's simulate a coffee-making machine using the following action hierarchy:

- cappuccino_order
    - prepare
        - initialize
        - clean
    - make_cappuccino
        - boil_water
        - grind_coffee

An implementation would look like this:

import asyncio
from action_trees import ActionItem


class AtomicAction(ActionItem):
    """Mock action with no children."""

    def __init__(self, name: str, duration: float = 0.1):
        super().__init__(name=name)
        self._duration = duration

    async def _on_run(self):
        await self._wait_if_paused() # pause/resume helper
        await asyncio.sleep(self._duration)


class PrepareMachineAction(ActionItem):
    """Prepare the machine."""

    def __init__(self):
        super().__init__(name="prepare")
        self.add_child(AtomicAction(name="initialize"))
        self.add_child(AtomicAction(name="clean"))

    async def _on_run(self):
        # sequentially run children
        await self.get_child("initialize").start()
        await self.get_child("clean").start()


class MakeCappuccinoAction(ActionItem):
    """Make cappuccino."""

    def __init__(self):
        super().__init__(name="make_cappuccino")
        self.add_child(AtomicAction(name="boil_water"))
        self.add_child(AtomicAction(name="grind_coffee"))

    async def _on_run(self):
        # simultaneously run children
        await self._start_children_parallel()


class CappuccinoOrder(ActionItem):
    """High-level action to make a cappuccino."""

    def __init__(self):
        super().__init__(name="cappuccino_order")
        self.add_child(PrepareMachineAction())
        self.add_child(MakeCappuccinoAction())

    async def _on_run(self):
        for child in self.children:
            await child.start()


# create root order
order = CappuccinoOrder()
# start tasks in the background
await order.start()

Development

see docs

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