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/logs/logsFrame.ts

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3.1 KiB

import { DataFrame, FieldCache, FieldType, FieldWithIndex, DataFrameType, Labels } from '@grafana/data';
import { parseLegacyLogsFrame } from './legacyLogsFrame';
// these are like Labels, but their values can be
// arbitrary structures, not just strings
export type LogFrameLabels = Record<string, unknown>;
// the attributes-access is a little awkward, but it's necessary
// because there are multiple,very different dataFrame-representations.
export type LogsFrame = {
timeField: FieldWithIndex;
bodyField: FieldWithIndex;
timeNanosecondField: FieldWithIndex | null;
severityField: FieldWithIndex | null;
idField: FieldWithIndex | null;
getLogFrameLabels: () => LogFrameLabels[] | null; // may be slow, so we only do it when asked for it explicitly
getLogFrameLabelsAsLabels: () => Labels[] | null; // temporarily exists to make the labels=>attributes migration simpler
getLabelFieldName: () => string | null;
extraFields: FieldWithIndex[];
};
function getField(cache: FieldCache, name: string, fieldType: FieldType): FieldWithIndex | undefined {
const field = cache.getFieldByName(name);
if (field === undefined) {
return undefined;
}
return field.type === fieldType ? field : undefined;
}
const DATAPLANE_TIMESTAMP_NAME = 'timestamp';
const DATAPLANE_BODY_NAME = 'body';
const DATAPLANE_SEVERITY_NAME = 'severity';
const DATAPLANE_ID_NAME = 'id';
const DATAPLANE_LABELS_NAME = 'labels';
export function logFrameLabelsToLabels(logFrameLabels: LogFrameLabels): Labels {
const result: Labels = {};
Object.entries(logFrameLabels).forEach(([k, v]) => {
result[k] = typeof v === 'string' ? v : JSON.stringify(v);
});
return result;
}
function parseDataplaneLogsFrame(frame: DataFrame): LogsFrame | null {
const cache = new FieldCache(frame);
const timestampField = getField(cache, DATAPLANE_TIMESTAMP_NAME, FieldType.time);
const bodyField = getField(cache, DATAPLANE_BODY_NAME, FieldType.string);
// these two are mandatory
if (timestampField === undefined || bodyField === undefined) {
return null;
}
const severityField = getField(cache, DATAPLANE_SEVERITY_NAME, FieldType.string) ?? null;
const idField = getField(cache, DATAPLANE_ID_NAME, FieldType.string) ?? null;
const labelsField = getField(cache, DATAPLANE_LABELS_NAME, FieldType.other) ?? null;
const labels = labelsField === null ? null : labelsField.values;
const extraFields = cache.fields.filter(
(_, i) =>
i !== timestampField.index &&
i !== bodyField.index &&
i !== severityField?.index &&
i !== idField?.index &&
i !== labelsField?.index
);
return {
timeField: timestampField,
bodyField,
severityField,
idField,
getLogFrameLabels: () => labels,
timeNanosecondField: null,
getLogFrameLabelsAsLabels: () => (labels !== null ? labels.map(logFrameLabelsToLabels) : null),
getLabelFieldName: () => (labelsField !== null ? labelsField.name : null),
extraFields,
};
}
export function parseLogsFrame(frame: DataFrame): LogsFrame | null {
if (frame.meta?.type === DataFrameType.LogLines) {
return parseDataplaneLogsFrame(frame);
} else {
return parseLegacyLogsFrame(frame);
}
}