mirror of
https://github.com/hatchet-dev/hatchet.git
synced 2026-01-06 08:49:53 -06:00
@@ -1,5 +0,0 @@
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from hatchet_sdk import new_client
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client = new_client()
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client.event.push("user:create", {"test": "test"})
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@@ -1,23 +1,20 @@
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import pytest
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from hatchet_sdk import Hatchet, Worker
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from examples.timeout.worker import refresh_timeout_wf, timeout_wf
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from hatchet_sdk import Hatchet
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# requires scope module or higher for shared event loop
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@pytest.mark.asyncio(scope="session")
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@pytest.mark.parametrize("worker", ["timeout"], indirect=True)
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async def test_run_timeout(hatchet: Hatchet, worker: Worker) -> None:
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run = hatchet.admin.run_workflow("TimeoutWorkflow", {})
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try:
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@pytest.mark.asyncio(loop_scope="session")
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async def test_execution_timeout(hatchet: Hatchet) -> None:
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run = timeout_wf.run_no_wait()
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with pytest.raises(Exception, match="(Task exceeded timeout|TIMED_OUT)"):
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await run.aio_result()
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assert False, "Expected workflow to timeout"
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except Exception as e:
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assert str(e) == "Workflow Errors: ['TIMED_OUT']"
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@pytest.mark.asyncio(scope="session")
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@pytest.mark.parametrize("worker", ["timeout"], indirect=True)
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async def test_run_refresh_timeout(hatchet: Hatchet, worker: Worker) -> None:
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run = hatchet.admin.run_workflow("RefreshTimeoutWorkflow", {})
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result = await run.aio_result()
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assert result["step1"]["status"] == "success"
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@pytest.mark.asyncio(loop_scope="session")
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async def test_run_refresh_timeout(hatchet: Hatchet) -> None:
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result = await refresh_timeout_wf.aio_run()
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assert result["refresh_task"]["status"] == "success"
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4
sdks/python/examples/timeout/trigger.py
Normal file
4
sdks/python/examples/timeout/trigger.py
Normal file
@@ -0,0 +1,4 @@
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from examples.timeout.worker import refresh_timeout_wf, timeout_wf
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timeout_wf.run()
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refresh_timeout_wf.run()
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@@ -1,40 +1,50 @@
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import time
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from datetime import timedelta
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from hatchet_sdk import BaseWorkflow, Context, Hatchet
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from hatchet_sdk import Context, EmptyModel, Hatchet, TaskDefaults
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hatchet = Hatchet(debug=True)
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timeout_wf = hatchet.declare_workflow(on_events=["timeout:create"])
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# ❓ ScheduleTimeout
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timeout_wf = hatchet.workflow(
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name="TimeoutWorkflow",
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task_defaults=TaskDefaults(execution_timeout=timedelta(minutes=2)),
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)
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# ‼️
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class TimeoutWorkflow(BaseWorkflow):
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config = timeout_wf.config
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@hatchet.step(timeout="4s")
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def step1(self, context: Context) -> dict[str, str]:
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time.sleep(5)
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return {"status": "success"}
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# ❓ ExecutionTimeout
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# 👀 Specify an execution timeout on a task
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@timeout_wf.task(
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execution_timeout=timedelta(seconds=4), schedule_timeout=timedelta(minutes=10)
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)
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def timeout_task(input: EmptyModel, ctx: Context) -> dict[str, str]:
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time.sleep(5)
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return {"status": "success"}
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refresh_timeout_wf = hatchet.declare_workflow(on_events=["refresh:create"])
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# ‼️
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refresh_timeout_wf = hatchet.workflow(name="RefreshTimeoutWorkflow")
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class RefreshTimeoutWorkflow(BaseWorkflow):
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config = refresh_timeout_wf.config
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# ❓ RefreshTimeout
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@refresh_timeout_wf.task(execution_timeout=timedelta(seconds=4))
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def refresh_task(input: EmptyModel, ctx: Context) -> dict[str, str]:
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@hatchet.step(timeout="4s")
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def step1(self, context: Context) -> dict[str, str]:
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ctx.refresh_timeout(timedelta(seconds=10))
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time.sleep(5)
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context.refresh_timeout("10s")
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time.sleep(5)
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return {"status": "success"}
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return {"status": "success"}
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# ‼️
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def main() -> None:
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worker = hatchet.worker("timeout-worker", max_runs=4)
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worker.register_workflow(TimeoutWorkflow())
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worker.register_workflow(RefreshTimeoutWorkflow())
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worker = hatchet.worker(
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"timeout-worker", slots=4, workflows=[timeout_wf, refresh_timeout_wf]
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)
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worker.start()
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