mirror of
https://github.com/grafana/grafana.git
synced 2025-02-13 00:55:47 -06:00
262 lines
7.7 KiB
TypeScript
262 lines
7.7 KiB
TypeScript
import {
|
|
DataFrame,
|
|
DataFrameJSON,
|
|
DataFrameView,
|
|
getDisplayProcessor,
|
|
SelectableValue,
|
|
toDataFrame,
|
|
} from '@grafana/data';
|
|
import { config, getBackendSrv } from '@grafana/runtime';
|
|
import { TermCount } from 'app/core/components/TagFilter/TagFilter';
|
|
|
|
import { replaceCurrentFolderQuery } from './utils';
|
|
|
|
import { DashboardQueryResult, GrafanaSearcher, QueryResponse, SearchQuery, SearchResultMeta } from '.';
|
|
|
|
// The backend returns an empty frame with a special name to indicate that the indexing engine is being rebuilt,
|
|
// and that it can not serve any search requests. We are temporarily using the old SQL Search API as a fallback when that happens.
|
|
const loadingFrameName = 'Loading';
|
|
|
|
const searchURI = 'api/search-v2';
|
|
|
|
type SearchAPIResponse = {
|
|
frames: DataFrameJSON[];
|
|
};
|
|
|
|
const folderViewSort = 'name_sort';
|
|
|
|
export class BlugeSearcher implements GrafanaSearcher {
|
|
constructor(private fallbackSearcher: GrafanaSearcher) {}
|
|
|
|
async search(query: SearchQuery): Promise<QueryResponse> {
|
|
if (query.facet?.length) {
|
|
throw new Error('facets not supported!');
|
|
}
|
|
return this.doSearchQuery(query);
|
|
}
|
|
|
|
async starred(query: SearchQuery): Promise<QueryResponse> {
|
|
if (query.facet?.length) {
|
|
throw new Error('facets not supported!');
|
|
}
|
|
// get the starred dashboards
|
|
const starsUIDS = await getBackendSrv().get('api/user/stars');
|
|
if (starsUIDS?.length) {
|
|
return this.doSearchQuery({
|
|
uid: starsUIDS,
|
|
query: query.query ?? '*',
|
|
});
|
|
}
|
|
// Nothing is starred
|
|
return {
|
|
view: new DataFrameView({ length: 0, fields: [] }),
|
|
totalRows: 0,
|
|
loadMoreItems: async (startIndex: number, stopIndex: number): Promise<void> => {
|
|
return;
|
|
},
|
|
isItemLoaded: (index: number): boolean => {
|
|
return true;
|
|
},
|
|
};
|
|
}
|
|
|
|
async tags(query: SearchQuery): Promise<TermCount[]> {
|
|
const req = {
|
|
...query,
|
|
query: query.query ?? '*',
|
|
sort: undefined, // no need to sort the initial query results (not used)
|
|
facet: [{ field: 'tag' }],
|
|
limit: 1, // 0 would be better, but is ignored by the backend
|
|
};
|
|
|
|
const resp = await getBackendSrv().post<SearchAPIResponse>(searchURI, req);
|
|
const frames = resp.frames.map((f) => toDataFrame(f));
|
|
|
|
if (frames[0]?.name === loadingFrameName) {
|
|
return this.fallbackSearcher.tags(query);
|
|
}
|
|
|
|
for (const frame of frames) {
|
|
if (frame.fields[0].name === 'tag') {
|
|
return getTermCountsFrom(frame);
|
|
}
|
|
}
|
|
|
|
return [];
|
|
}
|
|
|
|
// This should eventually be filled by an API call, but hardcoded is a good start
|
|
getSortOptions(): Promise<SelectableValue[]> {
|
|
const opts: SelectableValue[] = [
|
|
{ value: folderViewSort, label: 'Alphabetically (A-Z)' },
|
|
{ value: '-name_sort', label: 'Alphabetically (Z-A)' },
|
|
];
|
|
|
|
if (config.licenseInfo.enabledFeatures.analytics) {
|
|
for (const sf of sortFields) {
|
|
opts.push({ value: `-${sf.name}`, label: `${sf.display} (most)` });
|
|
opts.push({ value: `${sf.name}`, label: `${sf.display} (least)` });
|
|
}
|
|
for (const sf of sortTimeFields) {
|
|
opts.push({ value: `-${sf.name}`, label: `${sf.display} (recent)` });
|
|
opts.push({ value: `${sf.name}`, label: `${sf.display} (oldest)` });
|
|
}
|
|
}
|
|
|
|
return Promise.resolve(opts);
|
|
}
|
|
|
|
async doSearchQuery(query: SearchQuery): Promise<QueryResponse> {
|
|
query = await replaceCurrentFolderQuery(query);
|
|
const req = {
|
|
...query,
|
|
query: query.query ?? '*',
|
|
limit: query.limit ?? firstPageSize,
|
|
};
|
|
|
|
const rsp = await getBackendSrv().post<SearchAPIResponse>(searchURI, req);
|
|
const frames = rsp.frames.map((f) => toDataFrame(f));
|
|
|
|
const first = frames.length ? toDataFrame(frames[0]) : { fields: [], length: 0 };
|
|
|
|
if (first.name === loadingFrameName) {
|
|
return this.fallbackSearcher.search(query);
|
|
}
|
|
|
|
for (const field of first.fields) {
|
|
field.display = getDisplayProcessor({ field, theme: config.theme2 });
|
|
}
|
|
|
|
// Make sure the object exists
|
|
if (!first.meta?.custom) {
|
|
first.meta = {
|
|
...first.meta,
|
|
custom: {
|
|
count: first.length,
|
|
max_score: 1,
|
|
},
|
|
};
|
|
}
|
|
|
|
const meta = first.meta.custom as SearchResultMeta;
|
|
if (!meta.locationInfo) {
|
|
meta.locationInfo = {}; // always set it so we can append
|
|
}
|
|
|
|
// Set the field name to a better display name
|
|
if (meta.sortBy?.length) {
|
|
const field = first.fields.find((f) => f.name === meta.sortBy);
|
|
if (field) {
|
|
const name = getSortFieldDisplayName(field.name);
|
|
meta.sortBy = name;
|
|
field.name = name; // make it look nicer
|
|
}
|
|
}
|
|
|
|
let loadMax = 0;
|
|
let pending: Promise<void> | undefined = undefined;
|
|
const getNextPage = async () => {
|
|
while (loadMax > view.dataFrame.length) {
|
|
const from = view.dataFrame.length;
|
|
if (from >= meta.count) {
|
|
return;
|
|
}
|
|
const resp = await getBackendSrv().post<SearchAPIResponse>(searchURI, {
|
|
...(req ?? {}),
|
|
from,
|
|
limit: nextPageSizes,
|
|
});
|
|
const frame = toDataFrame(resp.frames[0]);
|
|
|
|
if (!frame) {
|
|
console.log('no results', frame);
|
|
return;
|
|
}
|
|
if (frame.fields.length !== view.dataFrame.fields.length) {
|
|
console.log('invalid shape', frame, view.dataFrame);
|
|
return;
|
|
}
|
|
|
|
// Append the raw values to the same array buffer
|
|
const length = frame.length + view.dataFrame.length;
|
|
for (let i = 0; i < frame.fields.length; i++) {
|
|
const values = view.dataFrame.fields[i].values;
|
|
values.push(...frame.fields[i].values);
|
|
}
|
|
view.dataFrame.length = length;
|
|
|
|
// Add all the location lookup info
|
|
const submeta = frame.meta?.custom as SearchResultMeta;
|
|
if (submeta?.locationInfo && meta) {
|
|
for (const [key, value] of Object.entries(submeta.locationInfo)) {
|
|
meta.locationInfo[key] = value;
|
|
}
|
|
}
|
|
}
|
|
pending = undefined;
|
|
};
|
|
|
|
const view = new DataFrameView<DashboardQueryResult>(first);
|
|
return {
|
|
totalRows: meta.count ?? first.length,
|
|
view,
|
|
loadMoreItems: async (startIndex: number, stopIndex: number): Promise<void> => {
|
|
loadMax = Math.max(loadMax, stopIndex);
|
|
if (!pending) {
|
|
pending = getNextPage();
|
|
}
|
|
return pending;
|
|
},
|
|
isItemLoaded: (index: number): boolean => {
|
|
return index < view.dataFrame.length;
|
|
},
|
|
};
|
|
}
|
|
|
|
getFolderViewSort(): string {
|
|
return 'name_sort';
|
|
}
|
|
}
|
|
|
|
const firstPageSize = 50;
|
|
const nextPageSizes = 100;
|
|
|
|
function getTermCountsFrom(frame: DataFrame): TermCount[] {
|
|
const keys = frame.fields[0].values;
|
|
const vals = frame.fields[1].values;
|
|
const counts: TermCount[] = [];
|
|
for (let i = 0; i < frame.length; i++) {
|
|
counts.push({ term: keys[i], count: vals[i] });
|
|
}
|
|
return counts;
|
|
}
|
|
|
|
// Enterprise only sort field values for dashboards
|
|
const sortFields = [
|
|
{ name: 'views_total', display: 'Views total' },
|
|
{ name: 'views_last_30_days', display: 'Views 30 days' },
|
|
{ name: 'errors_total', display: 'Errors total' },
|
|
{ name: 'errors_last_30_days', display: 'Errors 30 days' },
|
|
];
|
|
|
|
// Enterprise only time sort field values for dashboards
|
|
const sortTimeFields = [
|
|
{ name: 'created_at', display: 'Created time' },
|
|
{ name: 'updated_at', display: 'Updated time' },
|
|
];
|
|
|
|
/** Given the internal field name, this gives a reasonable display name for the table colum header */
|
|
function getSortFieldDisplayName(name: string) {
|
|
for (const sf of sortFields) {
|
|
if (sf.name === name) {
|
|
return sf.display;
|
|
}
|
|
}
|
|
for (const sf of sortTimeFields) {
|
|
if (sf.name === name) {
|
|
return sf.display;
|
|
}
|
|
}
|
|
return name;
|
|
}
|