The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 
grafana/public/app/plugins/datasource/cloud-monitoring/components/Preprocessor.tsx

65 lines
2.5 KiB

import React, { FunctionComponent, useMemo } from 'react';
import { SelectableValue } from '@grafana/data';
import { RadioButtonGroup } from '@grafana/ui';
import { MetricDescriptor, MetricKind, MetricQuery, PreprocessorType, ValueTypes } from '../types';
import { getAlignmentPickerData } from '../functions';
import { QueryEditorRow } from '.';
const NONE_OPTION = { label: 'None', value: PreprocessorType.None };
export interface Props {
metricDescriptor?: MetricDescriptor;
onChange: (query: MetricQuery) => void;
query: MetricQuery;
}
export const Preprocessor: FunctionComponent<Props> = ({ query, metricDescriptor, onChange }) => {
const options = useOptions(metricDescriptor);
return (
<QueryEditorRow
label="Pre-processing"
tooltip="Preprocessing options are displayed when the selected metric has a metric kind of delta or cumulative. The specific options available are determined by the metic's value type. If you select 'Rate', data points are aligned and converted to a rate per time series. If you select 'Delta', data points are aligned by their delta (difference) per time series"
>
<RadioButtonGroup
onChange={(value: PreprocessorType) => {
const { valueType, metricKind, perSeriesAligner: psa } = query;
const { perSeriesAligner } = getAlignmentPickerData(valueType, metricKind, psa, value);
onChange({ ...query, preprocessor: value, perSeriesAligner });
}}
value={query.preprocessor ?? PreprocessorType.None}
options={options}
></RadioButtonGroup>
</QueryEditorRow>
);
};
const useOptions = (metricDescriptor?: MetricDescriptor): Array<SelectableValue<PreprocessorType>> => {
const metricKind = metricDescriptor?.metricKind;
const valueType = metricDescriptor?.valueType;
return useMemo(() => {
if (!metricKind || metricKind === MetricKind.GAUGE || valueType === ValueTypes.DISTRIBUTION) {
return [NONE_OPTION];
}
const options = [
NONE_OPTION,
{
label: 'Rate',
value: PreprocessorType.Rate,
description: 'Data points are aligned and converted to a rate per time series',
},
];
return metricKind === MetricKind.CUMULATIVE
? [
...options,
{
label: 'Delta',
value: PreprocessorType.Delta,
description: 'Data points are aligned by their delta (difference) per time series',
},
]
: options;
}, [metricKind, valueType]);
};