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8e80faf2d6
* api changes * doc changes * move docs * generated * generate * pkg * backmerge main * revert to main * revert main * race? * remove go tests
321 lines
9.6 KiB
Python
321 lines
9.6 KiB
Python
import asyncio
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from datetime import datetime, timedelta
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from random import choice
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from typing import AsyncGenerator, Literal
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from uuid import uuid4
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import pytest
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import pytest_asyncio
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from pydantic import BaseModel
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from examples.priority.worker import DEFAULT_PRIORITY, SLEEP_TIME, priority_workflow
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from hatchet_sdk import Hatchet, ScheduleTriggerWorkflowOptions, TriggerWorkflowOptions
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from hatchet_sdk.clients.rest.models.v1_task_status import V1TaskStatus
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Priority = Literal["low", "medium", "high", "default"]
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class RunPriorityStartedAt(BaseModel):
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priority: Priority
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started_at: datetime
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finished_at: datetime
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def priority_to_int(priority: Priority) -> int:
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match priority:
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case "high":
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return 3
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case "medium":
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return 2
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case "low":
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return 1
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case "default":
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return DEFAULT_PRIORITY
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case _:
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raise ValueError(f"Invalid priority: {priority}")
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@pytest_asyncio.fixture(loop_scope="session", scope="function")
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async def dummy_runs() -> None:
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priority: Priority = "high"
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await priority_workflow.aio_run_many_no_wait(
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[
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priority_workflow.create_bulk_run_item(
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options=TriggerWorkflowOptions(
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priority=(priority_to_int(priority)),
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additional_metadata={
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"priority": priority,
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"key": ix,
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"type": "dummy",
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},
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)
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)
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for ix in range(40)
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]
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)
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await asyncio.sleep(3)
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return None
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@pytest.mark.asyncio()
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async def test_priority(hatchet: Hatchet, dummy_runs: None) -> None:
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test_run_id = str(uuid4())
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choices: list[Priority] = ["low", "medium", "high", "default"]
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N = 30
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run_refs = await priority_workflow.aio_run_many_no_wait(
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[
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priority_workflow.create_bulk_run_item(
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options=TriggerWorkflowOptions(
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priority=(priority_to_int(priority := choice(choices))),
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additional_metadata={
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"priority": priority,
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"key": ix,
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"test_run_id": test_run_id,
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},
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)
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)
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for ix in range(N)
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]
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)
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await asyncio.gather(*[r.aio_result() for r in run_refs])
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workflows = (
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await hatchet.workflows.aio_list(workflow_name=priority_workflow.name)
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).rows
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assert workflows
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workflow = next((w for w in workflows if w.name == priority_workflow.name), None)
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assert workflow
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assert workflow.name == priority_workflow.name
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runs = await hatchet.runs.aio_list(
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workflow_ids=[workflow.metadata.id],
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additional_metadata={
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"test_run_id": test_run_id,
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},
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limit=1_000,
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)
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runs_ids_started_ats: list[RunPriorityStartedAt] = sorted(
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[
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RunPriorityStartedAt(
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priority=(r.additional_metadata or {}).get("priority") or "low",
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started_at=r.started_at or datetime.min,
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finished_at=r.finished_at or datetime.min,
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)
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for r in runs.rows
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],
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key=lambda x: x.started_at,
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)
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assert len(runs_ids_started_ats) == len(run_refs)
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assert len(runs_ids_started_ats) == N
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for i in range(len(runs_ids_started_ats) - 1):
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curr = runs_ids_started_ats[i]
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nxt = runs_ids_started_ats[i + 1]
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"""Run start times should be in order of priority"""
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assert priority_to_int(curr.priority) >= priority_to_int(nxt.priority)
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"""Runs should proceed one at a time"""
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assert curr.finished_at <= nxt.finished_at
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assert nxt.finished_at >= nxt.started_at
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"""Runs should finish after starting (this is mostly a test for engine datetime handling bugs)"""
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assert curr.finished_at >= curr.started_at
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@pytest.mark.asyncio()
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async def test_priority_via_scheduling(hatchet: Hatchet, dummy_runs: None) -> None:
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test_run_id = str(uuid4())
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sleep_time = 3
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n = 30
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choices: list[Priority] = ["low", "medium", "high", "default"]
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run_at = datetime.now() + timedelta(seconds=sleep_time)
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versions = await asyncio.gather(
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*[
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priority_workflow.aio_schedule(
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run_at=run_at,
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options=ScheduleTriggerWorkflowOptions(
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priority=(priority_to_int(priority := choice(choices))),
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additional_metadata={
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"priority": priority,
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"key": ix,
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"test_run_id": test_run_id,
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},
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),
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)
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for ix in range(n)
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]
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)
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await asyncio.sleep(sleep_time * 2)
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workflow_id = versions[0].workflow_id
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attempts = 0
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while True:
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if attempts >= SLEEP_TIME * n * 2:
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raise TimeoutError("Timed out waiting for runs to finish")
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attempts += 1
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await asyncio.sleep(1)
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runs = await hatchet.runs.aio_list(
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workflow_ids=[workflow_id],
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additional_metadata={
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"test_run_id": test_run_id,
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},
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limit=1_000,
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)
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if not runs.rows:
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continue
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if any(
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r.status in [V1TaskStatus.FAILED, V1TaskStatus.CANCELLED] for r in runs.rows
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):
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raise ValueError("One or more runs failed or were cancelled")
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if all(r.status == V1TaskStatus.COMPLETED for r in runs.rows):
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break
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runs_ids_started_ats: list[RunPriorityStartedAt] = sorted(
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[
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RunPriorityStartedAt(
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priority=(r.additional_metadata or {}).get("priority") or "low",
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started_at=r.started_at or datetime.min,
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finished_at=r.finished_at or datetime.min,
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)
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for r in runs.rows
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],
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key=lambda x: x.started_at,
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)
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assert len(runs_ids_started_ats) == len(versions)
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for i in range(len(runs_ids_started_ats) - 1):
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curr = runs_ids_started_ats[i]
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nxt = runs_ids_started_ats[i + 1]
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"""Run start times should be in order of priority"""
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assert priority_to_int(curr.priority) >= priority_to_int(nxt.priority)
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"""Runs should proceed one at a time"""
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assert curr.finished_at <= nxt.finished_at
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assert nxt.finished_at >= nxt.started_at
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"""Runs should finish after starting (this is mostly a test for engine datetime handling bugs)"""
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assert curr.finished_at >= curr.started_at
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@pytest_asyncio.fixture(loop_scope="session", scope="function")
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async def crons(
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hatchet: Hatchet, dummy_runs: None
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) -> AsyncGenerator[tuple[str, str, int], None]:
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test_run_id = str(uuid4())
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choices: list[Priority] = ["low", "medium", "high"]
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n = 30
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crons = await asyncio.gather(
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*[
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hatchet.cron.aio_create(
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workflow_name=priority_workflow.name,
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cron_name=f"{test_run_id}-cron-{i}",
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expression="* * * * *",
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input={},
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additional_metadata={
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"trigger": "cron",
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"test_run_id": test_run_id,
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"priority": (priority := choice(choices)),
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"key": str(i),
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},
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priority=(priority_to_int(priority)),
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)
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for i in range(n)
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]
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)
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yield crons[0].workflow_id, test_run_id, n
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await asyncio.gather(*[hatchet.cron.aio_delete(cron.metadata.id) for cron in crons])
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def time_until_next_minute() -> float:
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now = datetime.now()
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next_minute = now.replace(second=0, microsecond=0, minute=now.minute + 1)
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return (next_minute - now).total_seconds()
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@pytest.mark.asyncio()
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async def test_priority_via_cron(hatchet: Hatchet, crons: tuple[str, str, int]) -> None:
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workflow_id, test_run_id, n = crons
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await asyncio.sleep(time_until_next_minute() + 10)
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attempts = 0
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while True:
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if attempts >= SLEEP_TIME * n * 2:
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raise TimeoutError("Timed out waiting for runs to finish")
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attempts += 1
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await asyncio.sleep(1)
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runs = await hatchet.runs.aio_list(
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workflow_ids=[workflow_id],
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additional_metadata={
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"test_run_id": test_run_id,
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},
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limit=1_000,
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)
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if not runs.rows:
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continue
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if any(
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r.status in [V1TaskStatus.FAILED, V1TaskStatus.CANCELLED] for r in runs.rows
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):
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raise ValueError("One or more runs failed or were cancelled")
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if all(r.status == V1TaskStatus.COMPLETED for r in runs.rows):
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break
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runs_ids_started_ats: list[RunPriorityStartedAt] = sorted(
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[
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RunPriorityStartedAt(
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priority=(r.additional_metadata or {}).get("priority") or "low",
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started_at=r.started_at or datetime.min,
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finished_at=r.finished_at or datetime.min,
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)
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for r in runs.rows
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],
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key=lambda x: x.started_at,
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)
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assert len(runs_ids_started_ats) == n
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for i in range(len(runs_ids_started_ats) - 1):
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curr = runs_ids_started_ats[i]
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nxt = runs_ids_started_ats[i + 1]
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"""Run start times should be in order of priority"""
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assert priority_to_int(curr.priority) >= priority_to_int(nxt.priority)
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"""Runs should proceed one at a time"""
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assert curr.finished_at <= nxt.finished_at
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assert nxt.finished_at >= nxt.started_at
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"""Runs should finish after starting (this is mostly a test for engine datetime handling bugs)"""
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assert curr.finished_at >= curr.started_at
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