durable-python 0.1.0

Make python code durable

durable-python

Make Python async functions durable and resumable with a minimal, pluggable runtime.

Overview

This package treats durability as a core runtime concern. Async functions are transformed into a sequence of CodeBlocks that can be checkpointed, paused, and resumed through a DurableRuntime. Everything is open and pluggable: orchestration backends implement a small interface, and persistence is provided through StateStore implementations.

Key primitives:

• DurableRuntime — drives execution and persistence.
• CallStack / FunctionCall / CodeBlock — durable execution model.
• OrchestrationBackend / DurableBackend — orchestration + event waiting.
• StateStore / InMemoryStateStore / DiskStateStore — persistence.
• DurableAstTransformer / make_durable — transform async functions into durable programs.

Quick Start

import asyncio
from durable import DurableBackend, InMemoryStateStore, PauseForEventException, make_durable

# Define your async function
async def greet(name: str):
    print("waiting for permission to greet")
    raise PauseForEventException("allow")
    return f"hello {name}"

# Make it durable
durable_greet = make_durable(greet)

async def main():
    backend = DurableBackend(InMemoryStateStore())

    async def run_once():
        # Triggers runtime execution; will pause on PauseForEventException
        try:
            return await durable_greet("Ada", orchestration_backend=backend, instance_id="greet-1")
        except PauseForEventException as e:
            print(f"paused for event {e.event}")

    await run_once()                 # pauses and persists state
    backend.publish_event("greet-1", "allow")  # deliver event
    result = await durable_greet("Ada", orchestration_backend=backend, instance_id="greet-1")
    print(result)                    # "hello Ada"

asyncio.run(main())

Architecture

• Execution model: FunctionCall holds locals, an ordered list of CodeBlocks, and the current index. CallStack orchestrates nested calls and return propagation.
• Durable runtime: DurableRuntime restores saved state (if any), drives the call stack, and delegates persistence plus event waiting to an OrchestrationBackend.
• Backends: OrchestrationBackend defines load_state, save_state, and wait_for_event. DurableBackend is the OSS implementation backed by a StateStore and an in-memory event bus.
• Persistence: StateStore defines load / save. The OSS package ships InMemoryStateStore and DiskStateStore(path).
• Transformation: DurableAstTransformer rewrites async functions into checkpointable code. make_durable(fn) wraps a function into a DurableProgram that builds a runtime and executes it.

Custom Backends

Implement OrchestrationBackend to integrate with your own orchestration layer:

from durable import OrchestrationBackend

class CustomBackend(OrchestrationBackend):
    async def load_state(self, instance_id: str) -> dict | None:
        ...

    async def save_state(self, instance_id: str, state: dict) -> None:
        ...

    async def wait_for_event(self, instance_id: str, event_name: str) -> None:
        ...

Use it by passing orchestration_backend= to the callable returned by make_durable.

Testing

Install dev dependencies and run pytest:

poetry install --with dev
poetry run pytest