Files
gpu-rent/tests/test_inventory.py
T
Leonid PershinandCursor 789fa26918 Pick cheapest GPU SKU and pin the VM to an existing disk AZ.
Scan ru-6 by Nova availability zones (a/b/c). First boot uses FLAVOR_SIZE_PRESET=cheap; reruns stay on the disk segment.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-22 00:06:44 +03:00

143 lines
4.5 KiB
Python

from gpu_rent.inventory import (
gpu_boot_image_score,
gpu_quota_from_compute,
match_label,
pick_boot_image,
rank_flavors,
resolve_flavor,
)
class FakeFlavor:
def __init__(
self,
flavor_id: str,
name: str,
extra=None,
disabled: bool = False,
vcpus: int = 8,
ram: int = 32768,
disk: int = 0,
availability_zones=None,
):
self.id = flavor_id
self.name = name
self.extra_specs = extra or {}
self.is_disabled = disabled
self.vcpus = vcpus
self.ram = ram
self.disk = disk
self.availability_zones = list(availability_zones or [])
def test_match_4090_24_not_48():
a = FakeFlavor("1", "GPU 1x RTX 4090 24GB")
b = FakeFlavor("2", "GPU 1x RTX 4090 48GB")
assert match_label("4090-24", a)
assert not match_label("4090-24", b)
assert match_label("4090-48", b)
def test_rank_skips_disabled():
flavors = [
FakeFlavor("d", "RTX 4090 24GB", disabled=True),
FakeFlavor("ok", "RTX A5000 24GB"),
]
ranked = rank_flavors(flavors, ("4090-24", "a5000"))
assert [x.id for x in ranked] == ["ok"]
assert ranked[0].label == "a5000"
def test_gpu_quota_from_compute():
assert gpu_quota_from_compute({"cores": 10}) is None
assert gpu_quota_from_compute({"gpu": 0}) == 0
assert gpu_quota_from_compute({"GPU_limit": 2}) == 2
def test_resolve_flavor_explicit_and_preference():
flavors = [
FakeFlavor("d", "RTX 4090 24GB", disabled=True),
FakeFlavor("a5", "RTX A5000 24GB"),
FakeFlavor("ok", "GPU 1x RTX 4090 24GB"),
]
picked = resolve_flavor(flavors, ("4090-24", "a5000"))
assert picked.id == "ok"
explicit = resolve_flavor(flavors, ("a5000",), explicit="a5")
assert explicit.id == "a5"
def test_resolve_flavor_prefers_list_over_default_id():
flavors = [
FakeFlavor("a5", "RTX A5000 24GB"),
FakeFlavor("ok", "GPU 1x RTX 4090 24GB"),
]
picked = resolve_flavor(flavors, ("4090-24", "a5000"), default_id="a5", fallback=True)
assert picked.id == "ok"
def test_resolve_flavor_no_fallback_requires_default():
flavors = [FakeFlavor("ok", "GPU 1x RTX 4090 24GB")]
try:
resolve_flavor(flavors, ("4090-24",), fallback=False)
raise AssertionError("expected ValueError")
except ValueError:
pass
picked = resolve_flavor(flavors, ("a5000",), default_id="ok", fallback=False)
assert picked.id == "ok"
def test_rank_cheap_prefers_1gpu_min_sku():
extra = {"aggregate_instance_extra_specs:gpu": "RTX4090", "gpu_memory": "24"}
flavors = [
FakeFlavor("dual", "GL10.8-65536-0-2GPU", extra, vcpus=8, ram=65536),
FakeFlavor("fat", "GL10.8-32768-0-1GPU", extra, vcpus=8, ram=32768),
FakeFlavor("tiny", "GL10.4-16384-0-1GPU", extra, vcpus=4, ram=16384),
]
ranked = rank_flavors(flavors, ("4090-24",), size_preset="cheap")
assert ranked[0].id == "tiny"
assert ranked[0].gpu_count == 1
balanced = rank_flavors(flavors, ("4090-24",), size_preset="balanced")
assert balanced[0].id == "fat"
def test_rank_filters_availability_zone():
extra = {"aggregate_instance_extra_specs:gpu": "RTX4090", "gpu_memory": "24"}
flavors = [
FakeFlavor(
"a",
"GL10.4-16384-0-1GPU",
extra,
vcpus=4,
ram=16384,
availability_zones=["ru-6a"],
),
FakeFlavor(
"h200",
"GL-H200",
{"aggregate_instance_extra_specs:gpu": "H200"},
vcpus=12,
ram=120000,
availability_zones=["ru-6b"],
),
]
in_a = rank_flavors(flavors, ("4090-24", "a5000"), az="ru-6a")
assert [x.id for x in in_a] == ["a"]
in_b = rank_flavors(flavors, ("4090-24",), az="ru-6b")
assert in_b == []
def test_pick_boot_image_prefers_24_580_without_docker():
class Img:
def __init__(self, name):
self.name = name
images = [
Img("Ubuntu 24.04 LTS 64-bit GPU Driver 580 Docker"),
Img("Ubuntu 24.04 LTS 64-bit GPU Driver 535"),
Img("Ubuntu 24.04 LTS 64-bit GPU Driver 580"),
Img("Data Science VM (Ubuntu 22.04 LTS 64-bit)"),
]
picked = pick_boot_image(images)
assert picked.name == "Ubuntu 24.04 LTS 64-bit GPU Driver 580"
assert gpu_boot_image_score(picked.name) > gpu_boot_image_score(images[0].name)