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Handle resources allocation with scientific notation better
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.DS_Store | ||
robusta_lib | ||
.idea | ||
.vscode |
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import pytest | ||
from robusta_krr.core.models.allocations import ResourceAllocations, ResourceType | ||
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@pytest.mark.parametrize( | ||
"cpu", | ||
[ | ||
{"request": "5m", "limit": None}, | ||
{"request": 0.005, "limit": None}, | ||
], | ||
) | ||
@pytest.mark.parametrize( | ||
"memory", | ||
[ | ||
{"request": 128974848, "limit": 128974848}, | ||
{"request": "128.974848e6", "limit": 128.974848e6}, | ||
{"request": "128.9748480M", "limit": "128.9748480M"}, | ||
{"request": "128974848000m", "limit": "128974848000m"}, | ||
{"request": "123Mi", "limit": "123Mi"}, | ||
{"request": "128974848e0", "limit": "128974848e0"}, | ||
], | ||
) | ||
def test_resource_allocation_supported_formats( | ||
cpu: dict[str, str | None] | dict[str, float | None], memory: dict[str, int] | dict[str, float] | dict[str, str] | ||
): | ||
allocations = ResourceAllocations( | ||
requests={ResourceType.CPU: cpu["request"], ResourceType.Memory: memory["request"]}, | ||
limits={ResourceType.CPU: cpu["limit"], ResourceType.Memory: memory["limit"]}, | ||
) | ||
assert allocations.requests[ResourceType.CPU] == 0.005 | ||
assert allocations.limits[ResourceType.CPU] == None | ||
assert (allocations.requests[ResourceType.Memory] // 1) == 128974848.0 | ||
assert (allocations.limits[ResourceType.Memory] // 1) == 128974848.0 |