hatchet/examples/python/blocked_async/worker.py

import hashlib
import time
from datetime import timedelta

from hatchet_sdk import Context, EmptyModel, Hatchet

hatchet = Hatchet()

# WARNING: this is an example of what NOT to do
# This workflow is intentionally blocking the main thread
# and will block the worker from processing other workflows
#
# You do not want to run long sync functions in an async def function

blocked_worker_workflow = hatchet.workflow(name="Blocked")


@blocked_worker_workflow.task(execution_timeout=timedelta(seconds=11), retries=3)
async def step1(input: EmptyModel, ctx: Context) -> dict[str, str | int | float]:
    print("Executing step1")

    # CPU-bound task: Calculate a large number of SHA-256 hashes
    start_time = time.time()
    iterations = 10_000_000
    for i in range(iterations):
        hashlib.sha256(f"data{i}".encode()).hexdigest()

    end_time = time.time()
    execution_time = end_time - start_time

    print(f"Completed {iterations} hash calculations in {execution_time:.2f} seconds")

    return {
        "step1": "step1",
        "iterations": iterations,
        "execution_time": execution_time,
    }


def main() -> None:
    worker = hatchet.worker(
        "blocked-worker", slots=3, workflows=[blocked_worker_workflow]
    )
    worker.start()


if __name__ == "__main__":
    main()