329 lines
12 KiB
Python
329 lines
12 KiB
Python
from __future__ import annotations
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import unittest
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import sys
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Any
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PACKAGE_DIR = Path(__file__).resolve().parents[1] / "modelhub_submmit_api"
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if str(PACKAGE_DIR) in sys.path:
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sys.path.remove(str(PACKAGE_DIR))
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sys.path.insert(0, str(PACKAGE_DIR))
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from modelhub_client import ModelHubClient, ModelHubClientPool # noqa: E402
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from queue_cleanup import ( # noqa: E402
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OwnedTask,
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cleanup_certain_oom_tasks,
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find_certain_oom_tasks,
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find_old_overflow_tasks,
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)
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GIB = 1024**3
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class FakeQueueClient:
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def __init__(
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self,
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records: list[dict[str, Any]],
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*,
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disappear_on_recheck: bool = False,
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drop_first_on_recheck: bool = False,
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) -> None:
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self.records = list(records)
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self.disappear_on_recheck = disappear_on_recheck
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self.drop_first_on_recheck = drop_first_on_recheck
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self.waiting_reads = 0
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self.stopped: list[list[int]] = []
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def list_tasks_page(self, *, status: str, **_kwargs: Any) -> dict[str, Any]:
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if status == "waiting":
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self.waiting_reads += 1
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if self.disappear_on_recheck and self.waiting_reads >= 2:
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records: list[dict[str, Any]] = []
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else:
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records = [record for record in self.records if record["status"] == "waiting"]
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if self.drop_first_on_recheck and self.waiting_reads >= 2:
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records = sorted(records, key=lambda item: int(item["taskId"]))[1:]
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else:
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records = [record for record in self.records if record["status"] == status]
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return {"code": 0, "data": {"records": records, "pages": 1}}
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def stop_tasks(self, task_ids: list[int]) -> dict[str, Any]:
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self.stopped.append(list(task_ids))
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ids = set(task_ids)
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self.records = [record for record in self.records if int(record["taskId"]) not in ids]
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return {"code": 0, "data": None}
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def count_active_tasks(self, **_kwargs: Any) -> int:
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return len(self.records)
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class FakeDiscovery:
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def __init__(
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self,
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sizes: dict[str, int | None],
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last_modified: dict[str, datetime | None] | None = None,
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) -> None:
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self.sizes = sizes
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self.last_modified = last_modified or {}
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def list_repo_tree(self, repo_id: str) -> list[dict[str, Any]]:
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size = self.sizes[repo_id]
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if size is None:
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return [{"Path": "model.safetensors"}]
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return [{"Path": "model.safetensors", "Size": size}]
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def get_model_last_modified(self, repo_id: str) -> datetime | None:
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return self.last_modified.get(repo_id)
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class RecordingHttpClient:
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def __init__(self) -> None:
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self.calls: list[tuple[str, str, dict[str, Any] | None, dict[str, Any] | None]] = []
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def request_json(
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self,
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method: str,
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path: str,
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*,
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query: dict[str, Any] | None = None,
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data: dict[str, Any] | None = None,
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) -> dict[str, Any]:
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self.calls.append((method, path, query, data))
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return {"code": 0, "data": None}
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class QueueCleanupTests(unittest.TestCase):
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def test_old_models_are_selected_only_after_each_accounts_first_eighty_tasks(self) -> None:
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now = datetime(2026, 8, 11, tzinfo=timezone.utc)
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tasks = [
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OwnedTask(0, index, "owner/old", "Iluvatar_bi-100", "waiting")
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for index in range(1, 82)
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]
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tasks.append(OwnedTask(0, 82, "owner/recent", "Iluvatar_bi-100", "waiting"))
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selected, skipped = find_old_overflow_tasks(
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tasks,
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model_last_modified={
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"owner/old": datetime(2026, 7, 1, tzinfo=timezone.utc),
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"owner/recent": datetime(2026, 8, 10, tzinfo=timezone.utc),
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},
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queue_threshold=80,
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recent_model_days=7,
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reference_time=now,
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)
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self.assertEqual([81], [item["taskId"] for item in selected])
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self.assertEqual(81, selected[0]["queuePosition"])
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self.assertEqual(1, skipped["recentOverflowTasks"])
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def test_old_overflow_task_is_not_stopped_if_it_moves_into_first_eighty(self) -> None:
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records = [
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{
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"taskId": index,
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"modelId": "owner/old",
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"gpuType": "Iluvatar_bi-100",
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"status": "waiting",
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}
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for index in range(1, 82)
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]
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client = FakeQueueClient(records, drop_first_on_recheck=True)
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pool = ModelHubClientPool(
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[client], # type: ignore[list-item]
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active_task_cap=100,
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old_model_queue_threshold=80,
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)
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summary = cleanup_certain_oom_tasks(
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pool,
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FakeDiscovery(
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{"owner/old": 1 * GIB},
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{"owner/old": datetime(2026, 7, 1, tzinfo=timezone.utc)},
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), # type: ignore[arg-type]
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reference_time=datetime(2026, 8, 11, tzinfo=timezone.utc),
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log=lambda _message: None,
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)
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self.assertEqual(1, summary["oldOverflowCount"])
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self.assertEqual(0, summary["cancelledCount"])
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self.assertEqual(1, summary["policyNoLongerAppliesCount"])
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self.assertEqual([], client.stopped)
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def test_cleanup_stops_old_task_beyond_eightieth_position(self) -> None:
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records = [
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{
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"taskId": index,
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"modelId": "owner/old",
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"gpuType": "Iluvatar_bi-100",
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"status": "waiting",
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}
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for index in range(1, 82)
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]
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client = FakeQueueClient(records)
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pool = ModelHubClientPool(
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[client], # type: ignore[list-item]
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active_task_cap=100,
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old_model_queue_threshold=80,
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)
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summary = cleanup_certain_oom_tasks(
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pool,
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FakeDiscovery(
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{"owner/old": 1 * GIB},
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{"owner/old": datetime(2026, 7, 1, tzinfo=timezone.utc)},
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), # type: ignore[arg-type]
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reference_time=datetime(2026, 8, 11, tzinfo=timezone.utc),
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log=lambda _message: None,
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)
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self.assertEqual(1, summary["oldOverflowCount"])
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self.assertEqual(1, summary["cancelledCount"])
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self.assertEqual([[81]], client.stopped)
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def test_dynamic_cleanup_keeps_positions_through_ninety_five(self) -> None:
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records = [
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{
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"taskId": index,
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"modelId": "owner/old",
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"gpuType": "Iluvatar_bi-100",
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"status": "waiting",
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}
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for index in range(1, 97)
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]
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client = FakeQueueClient(records)
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pool = ModelHubClientPool(
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[client], # type: ignore[list-item]
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active_task_cap=100,
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old_model_queue_threshold=80,
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)
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summary = cleanup_certain_oom_tasks(
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pool,
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FakeDiscovery(
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{"owner/old": 1 * GIB},
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{"owner/old": datetime(2026, 7, 1, tzinfo=timezone.utc)},
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), # type: ignore[arg-type]
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age_queue_threshold=95,
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reference_time=datetime(2026, 8, 11, tzinfo=timezone.utc),
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log=lambda _message: None,
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)
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self.assertEqual(95, summary["oldModelQueueThreshold"])
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self.assertEqual([96], [item["taskId"] for item in summary["oldOverflowTasks"]])
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self.assertEqual([[96]], client.stopped)
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def test_oom_is_removed_before_recalculating_old_overflow_positions(self) -> None:
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records = [
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{
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"taskId": index,
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"modelId": "owner/large" if index == 1 else "owner/old",
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"gpuType": "Iluvatar_bi-100",
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"status": "waiting",
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}
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for index in range(1, 83)
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]
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client = FakeQueueClient(records)
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pool = ModelHubClientPool(
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[client], # type: ignore[list-item]
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active_task_cap=100,
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old_model_queue_threshold=80,
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)
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summary = cleanup_certain_oom_tasks(
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pool,
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FakeDiscovery(
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{"owner/large": 40 * GIB, "owner/old": 1 * GIB},
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{"owner/old": datetime(2026, 7, 1, tzinfo=timezone.utc)},
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), # type: ignore[arg-type]
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reference_time=datetime(2026, 8, 11, tzinfo=timezone.utc),
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log=lambda _message: None,
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)
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self.assertEqual(1, summary["certainOomCount"])
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self.assertEqual([82], [item["taskId"] for item in summary["oldOverflowTasks"]])
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self.assertEqual([[1], [82]], client.stopped)
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def test_stop_tasks_uses_documented_put_endpoint_and_integer_ids(self) -> None:
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http = RecordingHttpClient()
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client = ModelHubClient(http_client=http) # type: ignore[arg-type]
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client.stop_tasks(["12", 12, 13])
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self.assertEqual(
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[
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(
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"PUT",
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"/api/async/task/stop-create-contest-task",
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None,
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{"taskIds": [12, 13]},
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)
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],
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http.calls,
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)
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def test_only_exact_size_capacity_failures_are_selected(self) -> None:
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tasks = [
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OwnedTask(0, 1, "owner/too-large", "Iluvatar_bi-100", "waiting"),
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OwnedTask(0, 2, "owner/fits", "Iluvatar_bi-100", "waiting"),
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OwnedTask(0, 3, "owner/unknown-size", "Iluvatar_bi-100", "waiting"),
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OwnedTask(0, 4, "owner/unknown-gpu", "new-gpu", "waiting"),
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]
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selected, skipped = find_certain_oom_tasks(
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tasks,
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repository_sizes={
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"owner/too-large": 30 * GIB,
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"owner/fits": 20 * GIB,
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"owner/unknown-gpu": 30 * GIB,
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},
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)
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self.assertEqual([1], [item["taskId"] for item in selected])
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self.assertEqual(1, skipped["repositorySizeUnknown"])
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self.assertEqual(1, skipped["gpuCapacityUnknown"])
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self.assertEqual(1, skipped["fitsKnownCapacity"])
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def test_cleanup_stops_only_certain_oom_tasks_on_the_owning_account(self) -> None:
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first = FakeQueueClient(
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[
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{"taskId": 1, "modelId": "owner/large", "gpuType": "Iluvatar_bi-100", "status": "waiting"},
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{"taskId": 2, "modelId": "owner/small", "gpuType": "Iluvatar_bi-100", "status": "waiting"},
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]
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)
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second = FakeQueueClient(
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[{"taskId": 3, "modelId": "owner/large", "gpuType": "MetaX_c-500", "status": "waiting"}]
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)
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pool = ModelHubClientPool([first, second], active_task_cap=100) # type: ignore[list-item]
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summary = cleanup_certain_oom_tasks(
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pool,
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FakeDiscovery({"owner/large": 40 * GIB, "owner/small": 20 * GIB}), # type: ignore[arg-type]
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log=lambda _message: None,
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)
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self.assertEqual(1, summary["certainOomCount"])
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self.assertEqual(1, summary["cancelledCount"])
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self.assertEqual([[1]], first.stopped)
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self.assertEqual([], second.stopped)
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def test_task_that_disappears_during_scan_is_not_stopped(self) -> None:
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client = FakeQueueClient(
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[{"taskId": 1, "modelId": "owner/large", "gpuType": "Iluvatar_bi-100", "status": "waiting"}],
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disappear_on_recheck=True,
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)
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pool = ModelHubClientPool([client], active_task_cap=100) # type: ignore[list-item]
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summary = cleanup_certain_oom_tasks(
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pool,
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FakeDiscovery({"owner/large": 40 * GIB}), # type: ignore[arg-type]
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log=lambda _message: None,
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)
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self.assertEqual(1, summary["certainOomCount"])
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self.assertEqual(0, summary["cancelledCount"])
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self.assertEqual(1, summary["noLongerActiveCount"])
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self.assertEqual([], client.stopped)
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if __name__ == "__main__":
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unittest.main()
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