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.
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grafana/public/app/features/explore/Logs/LogsMetaRow.tsx

243 lines
7.5 KiB

import { css } from '@emotion/css';
import saveAs from 'file-saver';
import { memo } from 'react';
import { lastValueFrom, map, Observable } from 'rxjs';
import {
LogsDedupStrategy,
LogsMetaItem,
LogsMetaKind,
LogRowModel,
CoreApp,
dateTimeFormat,
transformDataFrame,
DataTransformerConfig,
CustomTransformOperator,
Labels,
DataFrame,
Field,
getTimeField,
dateTime,
} from '@grafana/data';
import { config, reportInteraction } from '@grafana/runtime';
import { Button, Dropdown, Menu, ToolbarButton, Tooltip, useStyles2 } from '@grafana/ui';
import { Trans } from 'app/core/internationalization';
import { downloadDataFrameAsCsv, downloadLogsModelAsTxt } from '../../inspector/utils/download';
import { LogLabels, LogLabelsList } from '../../logs/components/LogLabels';
import { MAX_CHARACTERS } from '../../logs/components/LogRowMessage';
import { logRowsToReadableJson } from '../../logs/utils';
import { MetaInfoText, MetaItemProps } from '../MetaInfoText';
import { getLogsExtractFields } from './LogsTable';
const getStyles = () => ({
metaContainer: css({
flex: 1,
display: 'flex',
flexWrap: 'wrap',
}),
});
export type Props = {
meta: LogsMetaItem[];
dedupStrategy: LogsDedupStrategy;
dedupCount: number;
displayedFields: string[];
hasUnescapedContent: boolean;
forceEscape: boolean;
logRows: LogRowModel[];
onEscapeNewlines: () => void;
clearDetectedFields: () => void;
};
enum DownloadFormat {
Text = 'text',
Json = 'json',
CSV = 'csv',
}
export const LogsMetaRow = memo(
({
meta,
dedupStrategy,
dedupCount,
displayedFields,
clearDetectedFields,
hasUnescapedContent,
forceEscape,
onEscapeNewlines,
logRows,
}: Props) => {
const style = useStyles2(getStyles);
const downloadLogs = async (format: DownloadFormat) => {
reportInteraction('grafana_logs_download_logs_clicked', {
app: CoreApp.Explore,
format,
area: 'logs-meta-row',
});
switch (format) {
case DownloadFormat.Text:
downloadLogsModelAsTxt({ meta, rows: logRows }, 'Explore');
break;
case DownloadFormat.Json:
const jsonLogs = logRowsToReadableJson(logRows);
const blob = new Blob([JSON.stringify(jsonLogs)], {
type: 'application/json;charset=utf-8',
});
const fileName = `Explore-logs-${dateTimeFormat(new Date())}.json`;
saveAs(blob, fileName);
break;
case DownloadFormat.CSV:
const dataFrameMap = new Map<string, DataFrame>();
logRows.forEach((row) => {
if (row.dataFrame?.refId && !dataFrameMap.has(row.dataFrame?.refId)) {
dataFrameMap.set(row.dataFrame?.refId, row.dataFrame);
}
});
dataFrameMap.forEach(async (dataFrame) => {
const transforms: Array<DataTransformerConfig | CustomTransformOperator> = getLogsExtractFields(dataFrame);
transforms.push(
{
id: 'organize',
options: {
excludeByName: {
['labels']: true,
['labelTypes']: true,
},
},
},
addISODateTransformation
);
const transformedDataFrame = await lastValueFrom(transformDataFrame(transforms, [dataFrame]));
downloadDataFrameAsCsv(transformedDataFrame[0], `Explore-logs-${dataFrame.refId}`);
});
}
};
const logsMetaItem: Array<LogsMetaItem | MetaItemProps> = [...meta];
// Add deduplication info
if (dedupStrategy !== LogsDedupStrategy.none) {
logsMetaItem.push({
label: 'Deduplication count',
value: dedupCount,
kind: LogsMetaKind.Number,
});
}
// Add info about limit for highlighting
if (logRows.some((r) => r.entry.length > MAX_CHARACTERS)) {
logsMetaItem.push({
label: 'Info',
value: 'Logs with more than 100,000 characters could not be parsed and highlighted',
kind: LogsMetaKind.String,
});
}
// Add detected fields info
if (displayedFields?.length > 0) {
logsMetaItem.push(
{
label: 'Showing only selected fields',
value: <LogLabelsList labels={displayedFields} />,
},
{
label: '',
value: (
<Button variant="primary" fill="outline" size="sm" onClick={clearDetectedFields}>
<Trans i18nKey="explore.logs-meta-row.show-original-line">Show original line</Trans>
</Button>
),
}
);
}
// Add unescaped content info
if (hasUnescapedContent) {
logsMetaItem.push({
label: 'Your logs might have incorrectly escaped content',
value: (
<Tooltip
content="Fix incorrectly escaped newline and tab sequences in log lines. Manually review the results to confirm that the replacements are correct."
placement="right"
>
<Button variant="secondary" size="sm" onClick={onEscapeNewlines}>
{forceEscape ? 'Remove escaping' : 'Escape newlines'}
</Button>
</Tooltip>
),
});
}
const downloadMenu = (
<Menu>
{/* eslint-disable-next-line @grafana/no-untranslated-strings */}
<Menu.Item label="txt" onClick={() => downloadLogs(DownloadFormat.Text)} />
{/* eslint-disable-next-line @grafana/no-untranslated-strings */}
<Menu.Item label="json" onClick={() => downloadLogs(DownloadFormat.Json)} />
{/* eslint-disable-next-line @grafana/no-untranslated-strings */}
<Menu.Item label="csv" onClick={() => downloadLogs(DownloadFormat.CSV)} />
</Menu>
);
return (
<>
{logsMetaItem && (
<div className={style.metaContainer}>
<MetaInfoText
metaItems={logsMetaItem.map((item) => {
return {
label: item.label,
value: 'kind' in item ? renderMetaItem(item.value, item.kind) : item.value,
};
})}
/>
{!config.exploreHideLogsDownload && (
<Dropdown overlay={downloadMenu}>
<ToolbarButton isOpen={false} variant="canvas" icon="download-alt">
<Trans i18nKey="explore.logs-meta-row.download">Download</Trans>
</ToolbarButton>
</Dropdown>
)}
</div>
)}
</>
);
}
);
LogsMetaRow.displayName = 'LogsMetaRow';
function renderMetaItem(value: string | number | Labels, kind: LogsMetaKind) {
if (typeof value === 'string' || typeof value === 'number') {
return <>{value}</>;
}
if (kind === LogsMetaKind.LabelsMap) {
return <LogLabels labels={value} />;
}
if (kind === LogsMetaKind.Error) {
return <span className="logs-meta-item__error">{value.toString()}</span>;
}
console.error(`Meta type ${typeof value} ${value} not recognized.`);
return <></>;
}
const addISODateTransformation: CustomTransformOperator = () => (source: Observable<DataFrame[]>) => {
return source.pipe(
map((data: DataFrame[]) => {
return data.map((frame: DataFrame) => {
const timeField = getTimeField(frame);
return {
...frame,
fields: [
{
name: 'Date',
values: timeField.timeField?.values.map((v) => dateTime(v).toISOString()),
} as Field,
...frame.fields,
],
};
});
})
);
};