Files
OBLITERATUS/tests/test_gpu_lifecycle.py
T

185 lines
6.6 KiB
Python

from __future__ import annotations
from datetime import datetime, timezone
import json
import threading
import time
import pytest
from obliteratus.gpu_lifecycle import (
AdmissionError,
GpuLifecyclePublisher,
MemoryUsage,
measure_torch_memory,
)
def test_fake_supervisor_observes_order_identity_and_recoverable_state(tmp_path):
publisher = GpuLifecyclePublisher(
tmp_path,
heartbeat_seconds=0.01,
clock=lambda: datetime(2026, 1, 2, tzinfo=timezone.utc),
run_id="run-1",
)
def acknowledge():
while not (tmp_path / "current.json").exists():
time.sleep(0.001)
request = json.loads((tmp_path / "current.json").read_text())
(tmp_path / "ack.json").write_text(json.dumps({
"schema_version": 1,
"run_id": "run-1",
"request_event_id": request["event_id"],
"decision": "grant",
"lease_id": "lease-1",
"granted_vram_bytes": 100,
}))
threading.Thread(target=acknowledge).start()
memory = MemoryUsage(allocated_bytes=10, reserved_bytes=12, device_count=1)
publisher.loading("org/model")
publisher.resize(memory)
publisher.ready(memory)
time.sleep(1.05)
publisher.release(reason="test_complete")
assert publisher.release(reason="duplicate") is None
events = [json.loads(line) for line in (tmp_path / "events.jsonl").read_text().splitlines()]
assert [event["event"] for event in events] == [
"loading", "admission_granted", "allocation_started", "resize",
"ready", "heartbeat", "release",
]
assert [event["sequence"] for event in events] == list(range(1, 8))
assert len({event["event_id"] for event in events}) == 7
assert all(event["run_id"] == "run-1" for event in events)
assert events[3]["reserved_vram_bytes"] == 12
current = json.loads((tmp_path / "current.json").read_text())
assert current["event"] == "release"
assert current["reason"] == "test_complete"
def test_disabled_publisher_is_noop():
publisher = GpuLifecyclePublisher(None)
assert publisher.loading("model") is None
assert publisher.resize(MemoryUsage()) is None
assert publisher.ready() is None
assert publisher.heartbeat() is None
assert publisher.release() is None
def test_runtime_directory_must_exist(tmp_path):
with pytest.raises(ValueError, match="must already exist"):
GpuLifecyclePublisher(tmp_path / "missing")
def test_runtime_directory_rejects_symlink(tmp_path):
real = tmp_path / "real"
real.mkdir()
link = tmp_path / "link"
link.symlink_to(real, target_is_directory=True)
with pytest.raises(ValueError, match="must not be a symlink"):
GpuLifecyclePublisher(link)
def test_measure_torch_memory_aggregates_devices():
class FakeCuda:
is_available = staticmethod(lambda: True)
device_count = staticmethod(lambda: 2)
memory_allocated = staticmethod(lambda index: (index + 1) * 10)
memory_reserved = staticmethod(lambda index: (index + 1) * 20)
usage = measure_torch_memory(type("Torch", (), {"cuda": FakeCuda})())
assert usage == MemoryUsage(allocated_bytes=30, reserved_bytes=60, device_count=2)
@pytest.mark.parametrize("decision", ["deny", "timeout", "stale"])
def test_admission_failures_never_enter_allocation(tmp_path, decision):
publisher = GpuLifecyclePublisher(
tmp_path,
admission_timeout_seconds=0.05,
admission_poll_seconds=0.005,
run_id="current-run",
)
allocation_entered = False
def acknowledge():
nonlocal allocation_entered
while not (tmp_path / "current.json").exists():
time.sleep(0.001)
request = json.loads((tmp_path / "current.json").read_text())
if decision != "timeout":
(tmp_path / "ack.json").write_text(json.dumps({
"schema_version": 1,
"run_id": "stale-run" if decision == "stale" else "current-run",
"request_event_id": request["event_id"],
"decision": "deny" if decision == "deny" else "grant",
"lease_id": "lease-1",
"granted_vram_bytes": 100,
}))
worker = threading.Thread(target=acknowledge)
worker.start()
with pytest.raises(AdmissionError):
publisher.loading("org/model")
allocation_entered = True
worker.join()
assert allocation_entered is False
events = [json.loads(line)["event"] for line in (tmp_path / "events.jsonl").read_text().splitlines()]
assert "allocation_started" not in events
def test_delayed_ack_blocks_until_granted(tmp_path):
publisher = GpuLifecyclePublisher(
tmp_path, admission_timeout_seconds=1, admission_poll_seconds=0.005, run_id="run",
)
entered = threading.Event()
def load():
publisher.loading("model")
entered.set()
worker = threading.Thread(target=load)
worker.start()
time.sleep(0.03)
assert not entered.is_set()
request = json.loads((tmp_path / "current.json").read_text())
(tmp_path / "ack.json").write_text(json.dumps({
"schema_version": 1, "run_id": "run", "request_event_id": request["event_id"],
"decision": "grant", "lease_id": "lease", "granted_vram_bytes": 1,
}))
worker.join(timeout=1)
assert entered.is_set()
def test_grant_ceiling_and_lease_identity_fail_closed(tmp_path):
publisher = GpuLifecyclePublisher(
tmp_path, admission_timeout_seconds=0.2, admission_poll_seconds=0.002, run_id="run",
)
def grant(request_id, lease_id="lease-a", granted=20):
(tmp_path / "ack.json").write_text(json.dumps({
"schema_version": 1, "run_id": "run", "request_event_id": request_id,
"decision": "grant", "lease_id": lease_id, "granted_vram_bytes": granted,
}))
def acknowledge_first():
while not (tmp_path / "current.json").exists():
time.sleep(0.001)
grant(json.loads((tmp_path / "current.json").read_text())["event_id"])
threading.Thread(target=acknowledge_first).start()
publisher.loading("first")
with pytest.raises(AdmissionError, match="exceeds"):
publisher.resize(MemoryUsage(reserved_bytes=21))
def acknowledge_changed_owner():
seen = None
while seen != "loading":
current = json.loads((tmp_path / "current.json").read_text())
seen = current["event"]
time.sleep(0.001)
grant(current["event_id"], lease_id="lease-b")
threading.Thread(target=acknowledge_changed_owner).start()
with pytest.raises(AdmissionError, match="ownership changed"):
publisher.loading("second")