dialysis.py

from dialysis_data.data import TreatmentLog, make_json_converter

from visidata import VisiData, TableSheet, Column, date


@VisiData.api
def open_dialysis(vd, p):
    """Dialysis Data Format"""
    return DialysisDataSheet(p.name, source=p)


class DialysisDataSheet(TableSheet):
    rowtype = "treatment logs"  # rowdef: (treatment_date, weight, systolic, diastolic, heart_rate, temperature, solution, initial_drain, ultra_filtration, average_dwell)

    columns = [
        Column("treatment_date", getter=lambda col, row: row.treatment_date, type=date),
        Column("weight", getter=lambda col, row: float(row.weight.value), type=float),
        Column(
            "systolic",
            getter=lambda col, row: row.blood_pressure.systolic.value,
            type=int,
        ),
        Column(
            "diastolic",
            getter=lambda col, row: row.blood_pressure.diastolic.value,
            type=int,
        ),
        Column("heart_rate", getter=lambda col, row: row.heart_rate.value, type=int),
        Column(
            "temperature",
            getter=lambda col, row: float(row.temperature.value),
            type=float,
        ),
        Column("solution", getter=lambda col, row: str(row.solution), type=str),
        Column(
            "initial_drain", getter=lambda col, row: row.initial_drain.value, type=int
        ),
        Column(
            "ultra_filtration",
            getter=lambda col, row: row.ultra_filtration.value,
            type=int,
        ),
        Column(
            "average_dwell", getter=lambda col, row: str(row.average_dwell), type=str
        ),
    ]

    def iterload(self):
        with open(self.source) as f:
            self.file_data = f.read()

        json_converter = make_json_converter()
        self.treatment_logs: list[TreatmentLog] = json_converter.loads(
            self.file_data, list[TreatmentLog]
        )

        for tl in self.treatment_logs:
            yield tl