示例#1
0
    def _determine_output_signal_unit(
        func: MathematicalExpression, input_unit: Union[str, Union]
    ) -> pint.Unit:
        """Determine the unit of a transformations' output signal.

        Parameters
        ----------
        func :
            The function describing the transformation
        input_unit :
            The unit of the input signal

        Returns
        -------
        pint.Unit:
            Unit of the transformations' output signal

        """
        input_unit = U_(input_unit)

        if func is not None:
            variables = func.get_variable_names()
            if len(variables) != 1:
                raise ValueError("The provided function must have exactly 1 parameter")

            try:
                test_output = func.evaluate(**{variables[0]: Q_(1, input_unit)})
            except Exception as e:
                raise ValueError(
                    "The provided function is incompatible with the input signals unit."
                    f" \nThe test raised the following exception:\n{e}"
                )
            return test_output.data.units

        return input_unit
示例#2
0
def test_generic_measurement():
    """Test basic measurement creation and ASDF read/write."""
    data_01 = msm.Data(
        name="Welding current", data=xr.DataArray([1, 2, 3, 4], dims=["time"])
    )

    data_02 = msm.Data(
        name="Welding voltage", data=xr.DataArray([10, 20, 30, 40], dims=["time"])
    )

    src_01 = msm.Source(
        name="Current Sensor",
        output_signal=msm.Signal("analog", "V", data=None),
        error=msm.Error(1337.42),
    )

    src_02 = msm.Source(
        name="Voltage Sensor",
        output_signal=msm.Signal("analog", "V", data=None),
        error=msm.Error(1),
    )

    dp_01 = msm.DataTransformation(
        name="AD conversion current measurement",
        input_signal=src_01.output_signal,
        output_signal=msm.Signal("digital", "V", data=None),
        error=msm.Error(999.0),
    )

    dp_02 = msm.DataTransformation(
        name="Calibration current measurement",
        input_signal=dp_01.output_signal,
        output_signal=msm.Signal("digital", "A", data=data_01),
        error=msm.Error(43.0),
    )

    dp_03 = msm.DataTransformation(
        name="AD conversion voltage measurement",
        input_signal=dp_02.output_signal,
        output_signal=msm.Signal("digital", "V", data=None),
        error=msm.Error(2.0),
    )

    dp_04 = msm.DataTransformation(
        name="Calibration voltage measurement",
        input_signal=dp_03.output_signal,
        output_signal=msm.Signal("digital", "V", data=data_02),
        error=msm.Error(Q_(3.0, "percent")),
    )

    chn_01 = msm.MeasurementChain(
        name="Current measurement", data_source=src_01, data_processors=[dp_01, dp_02]
    )

    chn_02 = msm.MeasurementChain(
        name="Voltage measurement", data_source=src_02, data_processors=[dp_03, dp_04]
    )

    eqp_01 = msm.GenericEquipment(
        "Current Sensor", sources=[src_01], data_transformations=[dp_02]
    )
    eqp_02 = msm.GenericEquipment(
        "AD Converter", sources=None, data_transformations=[dp_01, dp_03]
    )
    eqp_03 = msm.GenericEquipment(
        "Voltage Sensor", sources=None, data_transformations=[dp_04]
    )

    measurement_01 = msm.Measurement(
        name="Current measurement", data=[data_01], measurement_chain=chn_01
    )
    measurement_02 = msm.Measurement(
        name="Voltage measurement", data=[data_02], measurement_chain=chn_02
    )

    equipment = [eqp_01, eqp_02, eqp_03]
    measurement_data = [data_01, data_02]
    measurement_chains = [chn_01]
    measurements = [measurement_01, measurement_02]
    sources = [src_01]
    processors = [dp_01, dp_02]

    [a, x, b] = sympy.symbols("a x b")
    expr_01 = MathematicalExpression(a * x + b)
    expr_01.set_parameter("a", 2)
    expr_01.set_parameter("b", 3)
    print(expr_01.parameters)
    print(expr_01.get_variable_names())
    print(expr_01.evaluate(x=3))

    tree = {
        "equipment": equipment,
        "data": measurement_data,
        "measurements": measurements,
        # "expression": expr_01,
        "measurement_chains": measurement_chains,
        "data_sources": sources,
        "data_processors": processors,
    }

    _write_read_buffer(tree)