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grafana/public/app/plugins/datasource/mysql/response_parser.ts

126 lines
3.8 KiB

import { map } from 'lodash';
import { AnnotationEvent, DataFrame, FieldType, MetricFindValue } from '@grafana/data';
import { BackendDataSourceResponse, FetchResponse, toDataQueryResponse } from '@grafana/runtime';
export default class ResponseParser {
transformMetricFindResponse(raw: FetchResponse<BackendDataSourceResponse>): MetricFindValue[] {
const frames = toDataQueryResponse(raw).data as DataFrame[];
if (!frames || !frames.length) {
return [];
}
const frame = frames[0];
const values: MetricFindValue[] = [];
const textField = frame.fields.find((f) => f.name === '__text');
const valueField = frame.fields.find((f) => f.name === '__value');
if (textField && valueField) {
for (let i = 0; i < textField.values.length; i++) {
values.push({ text: '' + textField.values.get(i), value: '' + valueField.values.get(i) });
}
} else {
const textFields = frame.fields.filter((f) => f.type === FieldType.string);
if (textFields) {
values.push(
...textFields
.flatMap((f) => f.values.toArray())
.map((v) => ({
text: '' + v,
}))
);
}
}
return Array.from(new Set(values.map((v) => v.text))).map((text) => ({
text,
value: values.find((v) => v.text === text)?.value,
}));
}
transformToKeyValueList(rows: any, textColIndex: number, valueColIndex: number): MetricFindValue[] {
const res = [];
for (let i = 0; i < rows.length; i++) {
if (!this.containsKey(res, rows[i][textColIndex])) {
res.push({ text: rows[i][textColIndex], value: rows[i][valueColIndex] });
}
}
return res;
}
transformToSimpleList(rows: any): MetricFindValue[] {
const res = [];
for (let i = 0; i < rows.length; i++) {
for (let j = 0; j < rows[i].length; j++) {
res.push(rows[i][j]);
}
}
const unique = Array.from(new Set(res));
return map(unique, (value) => {
return { text: value };
});
}
findColIndex(columns: any[], colName: string) {
for (let i = 0; i < columns.length; i++) {
if (columns[i].text === colName) {
return i;
}
}
return -1;
}
containsKey(res: any[], key: any) {
for (let i = 0; i < res.length; i++) {
if (res[i].text === key) {
return true;
}
}
return false;
}
async transformAnnotationResponse(options: any, data: BackendDataSourceResponse): Promise<AnnotationEvent[]> {
const frames = toDataQueryResponse({ data: data }).data as DataFrame[];
const frame = frames[0];
const timeField = frame.fields.find((f) => f.name === 'time' || f.name === 'time_sec');
if (!timeField) {
throw new Error('Missing mandatory time column (with time column alias) in annotation query');
}
if (frame.fields.find((f) => f.name === 'title')) {
throw new Error('The title column for annotations is deprecated, now only a column named text is returned');
}
const timeEndField = frame.fields.find((f) => f.name === 'timeend');
const textField = frame.fields.find((f) => f.name === 'text');
const tagsField = frame.fields.find((f) => f.name === 'tags');
const list: AnnotationEvent[] = [];
for (let i = 0; i < frame.length; i++) {
const timeEnd = timeEndField && timeEndField.values.get(i) ? Math.floor(timeEndField.values.get(i)) : undefined;
list.push({
annotation: options.annotation,
time: Math.floor(timeField.values.get(i)),
timeEnd,
text: textField && textField.values.get(i) ? textField.values.get(i) : '',
tags:
tagsField && tagsField.values.get(i)
? tagsField.values
.get(i)
.trim()
.split(/\s*,\s*/)
: [],
});
}
return list;
}
}