ChopFlow Python Client

A Python worker + producer SDK for ChopFlow, the distributed task queue in Rust. The broker and all execution logic live in Rust; this SDK lets you define and run task handlers in Python and enqueue tasks from Python, speaking gRPC to the broker over the contract in proto/proto/chopflow.proto.

Build status: Verified — pytest passes (Python 3.12 + grpcio 1.83) and the examples round-trip end-to-end against the Rust broker (Python producer enqueues an echo task → Python worker acks → AsyncResult.get() returns COMPLETED).

Requirements

• Python 3.10+
• The Rust broker binary (chopflow_broker) running somewhere reachable. Build it with cargo build -p chopflow_broker from the repo root.

Install

The SDK is not yet published to PyPI; install it editable from source:

cd clients/python
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"

The generated gRPC stubs (src/chopflow/_generated/) are committed, so no protoc toolchain is required to install or use the SDK. Regenerate them only when the proto changes:

python generate.py        # reads ../../proto/proto/chopflow.proto

Usage

Worker — define and run handlers in Python

from chopflow import ChopFlowWorker, task


@task("resize_image")
def resize(payload):
    # ...your logic; return something JSON-serializable...
    return {"status": "ok", "resized": payload}


worker = (
    ChopFlowWorker.builder()
    .broker("localhost:8000")
    .tags("image")
    .resources("cpu", 2)
    .build()
)
# `resize_image` was registered via the @task decorator above.
worker.register("ping", lambda p: {"pong": True})  # or register callables directly
worker.start_and_await()  # blocks until Ctrl+C

The worker registers with the broker, sends heartbeats, polls FetchTasks, executes the matching handler, and acknowledges each task. A handler that raises is acked as a failure and the broker applies its retry/dead-letter policy. Tasks with no registered handler fall back to the worker's default handler (override via worker.register_default(...)).

Producer — enqueue tasks and await results

from chopflow import ChopFlowClient

with ChopFlowClient.connect("localhost:8000") as client:
    result = (
        client.enqueue("resize_image")
        .payload({"path": "/img/a.png", "w": 128})
        .tags("image")
        .max_retries(2)
        .priority(5)  # higher = claimed before lower (default 0)
        .enqueue()
    )
    task = result.get(timeout=60)  # blocks until terminal
    print(task.status_name, task.result)

AsyncResult.get() polls GetTaskStatus until the task reaches a terminal state (COMPLETED, FAILED, DEADLETTERED, CANCELLED). By default it raises TaskFailedError if the task did not complete; pass raise_on_failure=False to get the terminal Task back instead. It raises TaskTimeoutError if the deadline elapses.

Schedules

from chopflow import ChopFlowClient
from chopflow.models import OverlapPolicy

with ChopFlowClient.connect("localhost:8000") as client:
    sid = client.create_cron_schedule(
        "nightly", "build", "0 9 * * *", tags=["ci"], overlap=OverlapPolicy.OVERLAP_SKIP
    )
    print(client.list_schedules())
    client.delete_schedule(sid)

Examples

• examples/producer.py — enqueue an echo task and print the result.
• examples/echo_worker.py — register an echo handler and run until Ctrl+C.

Tests

cd clients/python
pip install -e ".[dev]"
pytest                    # builds the broker once, then runs 14 integration tests

The test suite builds the Rust broker on an ephemeral port with in-memory storage and exercises the full SDK: enqueue/get, polling, cancellation, failure dead-lettering, schedule CRUD, and worker handler dispatch.