aionode 0.1.1

Lightweight asyncio task tracking as call tree and DAG

aionode

Lightweight asyncio task tracking as call tree and DAG.

Installation

pip install aionode

Quick Start

import asyncio
import aionode

async def fetch_data() -> list[int]:
    await asyncio.sleep(1)
    return list(range(100))

async def process(data: list[int]) -> int:
    await asyncio.sleep(0.5)
    return sum(data)

async def pipeline() -> None:
    async with asyncio.TaskGroup() as tg:
        fetch = tg.create_task(aionode.node(fetch_data)(), name="fetch")
        tg.create_task(aionode.node(process)(aionode.resolve(fetch)), name="process")

async def main() -> None:
    root = asyncio.create_task(aionode.node(pipeline)(), name="pipeline")
    await root
    for info in aionode.walk_dag():
        print(f"{info.name}: {info.status} ({info.duration():.2f}s)")

asyncio.run(main())

Core Concepts

node(func, wait_for=[], track=True, auto_progress=True)

Wraps an async function as a DAG node. Use resolve() to pass awaitables as arguments — they are gathered concurrently before the function is called. Sync functions must be wrapped with make_async first.

# Async function — pass upstream tasks with resolve()
fetch = tg.create_task(aionode.node(fetch_data)(), name="fetch")
process_task = tg.create_task(aionode.node(process)(aionode.resolve(fetch)), name="process")

# Sync function — wrap with make_async first
summarize = tg.create_task(
    aionode.node(aionode.make_async(my_sync_fn))(aionode.resolve(process_task)),
    name="summarize",
)

# Side-only dependency (no value passed): use wait_for
task_b = tg.create_task(aionode.node(cleanup, wait_for=[fetch])(), name="cleanup")

resolve(awaitable)

Marks an awaitable to be resolved before being passed as an argument to node(). This preserves type information — the type checker sees resolve(task: Task[T]) as returning T.

result = await aionode.node(process)(aionode.resolve(upstream_task))

walk_tree / walk_dag

Iterate over tracked tasks after they have been created.

# DFS pre-order through the call tree (parent → children)
for info in aionode.walk_tree():
    print(info.name, info.status)

# Topological order over the DAG (deps → dependents)
for info in aionode.walk_dag():
    print(info.name, info.status)

Both accept an optional root argument (an asyncio.Task or task id). Passing None (the default) includes all tasks in the current event loop.

Task Inspection

task_id = await aionode.get_task_id(asyncio_task)
info = aionode.get_task_info(task_id)

info.status        # TaskStatus: WAITING, RUNNING, DONE, FAILED, CANCELLED
info.duration()    # Elapsed seconds
info.name          # Task name
info.deps          # Upstream dependency IDs
info.dependents    # Downstream dependent IDs
info.logs          # Accumulated log output

await aionode.log("processing record 42")  # Append to current task's logs

# Get TaskInfo for the currently running tracked task
info = aionode.current_task_info()

API Reference

Function	Description
node(func, wait_for, track, auto_progress)	Wrap an async function as a DAG node
resolve(awaitable)	Mark an awaitable to be resolved as a node argument
get_task_id(task, timeout)	Get the task ID for an asyncio.Task
get_task_info(task_id)	Get TaskInfo by ID
current_task_info()	Get TaskInfo for the currently running tracked task
remove_task(task_id)	Remove a task and its descendants
log(value, end)	Append to the current task's logs
make_async(func)	Run a sync function in a thread
make_async_generator(gen)	Async iterate a sync iterator via threads
walk_tree(root)	DFS pre-order through the call tree
walk_dag(root)	Topological order over the DAG