536 add compute resource usage to processingjson

[dbirman]

Adds a new class ResourceUsage that can optionally be attached to a data process. Actual usage is stored in ResourceTimestamped objects which track percent usage along with timestamps. See examples:

timestamped_cpu_usage = [
    ResourceTimestamped(timestamp=date(2024, 9, 13), usage=0.75),
    ResourceTimestamped(timestamp=date(2024, 9, 13), usage=0.80),
]

timestamped_gpu_usage = [
    ResourceTimestamped(timestamp=date(2024, 9, 13), usage=0.6),
    ResourceTimestamped(timestamp=date(2024, 9, 13), usage=0.66),
]

timestamped_ram_usage = [
    ResourceTimestamped(timestamp=date(2024, 9, 13), usage=0.7),
    ResourceTimestamped(timestamp=date(2024, 9, 13), usage=0.725),
]

timestamped_file_io_usage = [
    ResourceTimestamped(timestamp=date(2024, 9, 13), usage=5.5),
    ResourceTimestamped(timestamp=date(2024, 9, 13), usage=6.0),
]

DataProcess(
    name=ProcessName.IMAGE_TILE_FUSING,
    software_version="0.0.1",
    start_date_time=t,
    end_date_time=t,
    input_location="/path/to/inputs",
    output_location="/path/to/outputs",
    code_version="0.1",
    code_url="https://github.com/abcd",
    parameters={"size": 7},
    resources=ResourceUsage(
        os=OperatingSystem.UBUNTU_20_04,
        architecture=CPUArchitecture.X86_64,
        cpu="Intel Core i7",
        cpu_cores=8,
        gpu="NVIDIA GeForce RTX 3080",
        memory=MemoryValue(value=32.0, unit=MemoryUnit.GB),
        ram=MemoryValue(value=16.0, unit=MemoryUnit.GB),
        cpu_usage=timestamped_cpu_usage,
        gpu_usage=timestamped_gpu_usage,
        ram_usage=timestamped_ram_usage,
        file_io_usage=timestamped_file_io_usage,
        file_io_unit=MemoryUnit.MB,
    ),
)

[saskiad]

couple questions

[saskiad]

same as other one - let's use the AwareDatetimeWithDefault. I clearly never pointed this out before... sorry about that.

[saskiad]

we wanted to change the value_with_unit thing, right? couple other small things as well