Published unlisted
Edited
Feb 14, 2022
1 fork
// 以下をchart-template.component.ts の createPlot() に貼りつける
Plot.plot({
marks: [
Plot.rectY(data.measurements, Plot.binX({y: "count"}, {x: "c8y_Temperature_T_value", fill: "source_id"}))
]
});
// 取得したデータを使い、グラフの形状や色を変えることで Observable 上で様々な可視化を試すことができます
Plot.plot({
marks: [
Plot.line(data.measurements, {x: "time", y: "c8y_Temperature_T_value", stroke: "lightblue"})
]
});
data = {
let chartTemplateService = new ChartTemplateService();
await chartTemplateService.init(baseUrl, user, password);
// 取得したいデータに応じてフィルターを設定してください
// Measurements
const measurementFilter = ({
fragmentType: 'c8y_Temperature',
dateFrom: "2022-01-01T00:00:00+09:00",
dateTo: "2030-01-01T23:59:59+09:00",
pageSize: 50,
})
// Alarms
const alarmFilter = ({
dateFrom: "2022-01-01T00:00:00+09:00",
dateTo: "2030-01-01T23:59:59+09:00",
pageSize: 50,
type: 'com_MaintenanceAlarm'
})
// Events
const eventFilter = ({
dateFrom: "2022-01-01T00:00:00+09:00",
dateTo: "2030-01-01T23:59:59+09:00",
pageSize: 50,
})
// 第一引数： デバイス/グループの Managed Object ID、第二引数： フィルタ
const measurements = await chartTemplateService.getMeasurementsArray("18176088", measurementFilter);
const alarms = await chartTemplateService.getAlarmsArray("16657146", alarmFilter);
const events = await chartTemplateService.getEventsArray("11527119", eventFilter);
return {measurements, alarms, events};
}
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