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client.ts
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import * as os from 'node:os';
import type { Tracer } from '@opentelemetry/api';
import { trace } from '@opentelemetry/api';
import { registerInstrumentations } from '@opentelemetry/instrumentation';
import type { BasicTracerProvider } from '@opentelemetry/sdk-trace-base';
import type { DynamicSamplingContext, Scope, ServerRuntimeClientOptions, TraceContext } from '@sentry/core';
import {
_INTERNAL_clearAiProviderSkips,
_INTERNAL_flushLogsBuffer,
applySdkMetadata,
debug,
SDK_VERSION,
ServerRuntimeClient,
} from '@sentry/core';
import { type AsyncLocalStorageLookup, getTraceContextForScope } from '@sentry/opentelemetry';
import { isMainThread, threadId } from 'worker_threads';
import { DEBUG_BUILD } from '../debug-build';
import type { NodeClientOptions } from '../types';
const DEFAULT_CLIENT_REPORT_FLUSH_INTERVAL_MS = 60_000; // 60s was chosen arbitrarily
/** A client for using Sentry with Node & OpenTelemetry. */
export class NodeClient extends ServerRuntimeClient<NodeClientOptions> {
public traceProvider: BasicTracerProvider | undefined;
public asyncLocalStorageLookup: AsyncLocalStorageLookup | undefined;
private _tracer: Tracer | undefined;
private _clientReportInterval: NodeJS.Timeout | undefined;
private _clientReportOnExitFlushListener: (() => void) | undefined;
private _logOnExitFlushListener: (() => void) | undefined;
public constructor(options: NodeClientOptions) {
const serverName =
options.includeServerName === false
? undefined
: options.serverName || global.process.env.SENTRY_NAME || os.hostname();
const clientOptions: ServerRuntimeClientOptions = {
...options,
platform: 'node',
// Use provided runtime or default to 'node' with current process version
runtime: options.runtime || { name: 'node', version: global.process.version },
serverName,
};
if (options.openTelemetryInstrumentations) {
registerInstrumentations({
instrumentations: options.openTelemetryInstrumentations,
});
}
applySdkMetadata(clientOptions, 'node');
debug.log(`Initializing Sentry: process: ${process.pid}, thread: ${isMainThread ? 'main' : `worker-${threadId}`}.`);
super(clientOptions);
if (this.getOptions().enableLogs) {
this._logOnExitFlushListener = () => {
_INTERNAL_flushLogsBuffer(this);
};
if (serverName) {
this.on('beforeCaptureLog', log => {
log.attributes = {
...log.attributes,
'server.address': serverName,
};
});
}
process.on('beforeExit', this._logOnExitFlushListener);
}
}
/** Get the OTEL tracer. */
public get tracer(): Tracer {
if (this._tracer) {
return this._tracer;
}
const name = '@sentry/node';
const version = SDK_VERSION;
const tracer = trace.getTracer(name, version);
this._tracer = tracer;
return tracer;
}
/** @inheritDoc */
// @ts-expect-error - PromiseLike is a subset of Promise
public async flush(timeout?: number): PromiseLike<boolean> {
await this.traceProvider?.forceFlush();
if (this.getOptions().sendClientReports) {
this._flushOutcomes();
}
return super.flush(timeout);
}
/** @inheritDoc */
// @ts-expect-error - PromiseLike is a subset of Promise
public async close(timeout?: number | undefined): PromiseLike<boolean> {
if (this._clientReportInterval) {
clearInterval(this._clientReportInterval);
}
if (this._clientReportOnExitFlushListener) {
process.off('beforeExit', this._clientReportOnExitFlushListener);
}
if (this._logOnExitFlushListener) {
process.off('beforeExit', this._logOnExitFlushListener);
}
const allEventsSent = await super.close(timeout);
if (this.traceProvider) {
await this.traceProvider.shutdown();
}
return allEventsSent;
}
/**
* Will start tracking client reports for this client.
*
* NOTICE: This method will create an interval that is periodically called and attach a `process.on('beforeExit')`
* hook. To clean up these resources, call `.close()` when you no longer intend to use the client. Not doing so will
* result in a memory leak.
*/
// The reason client reports need to be manually activated with this method instead of just enabling them in a
// constructor, is that if users periodically and unboundedly create new clients, we will create more and more
// intervals and beforeExit listeners, thus leaking memory. In these situations, users are required to call
// `client.close()` in order to dispose of the acquired resources.
// We assume that calling this method in Sentry.init() is a sensible default, because calling Sentry.init() over and
// over again would also result in memory leaks.
// Note: We have experimented with using `FinalizationRegisty` to clear the interval when the client is garbage
// collected, but it did not work, because the cleanup function never got called.
public startClientReportTracking(): void {
const clientOptions = this.getOptions();
if (clientOptions.sendClientReports) {
this._clientReportOnExitFlushListener = () => {
this._flushOutcomes();
};
this._clientReportInterval = setInterval(() => {
DEBUG_BUILD && debug.log('Flushing client reports based on interval.');
this._flushOutcomes();
}, clientOptions.clientReportFlushInterval ?? DEFAULT_CLIENT_REPORT_FLUSH_INTERVAL_MS)
// Unref is critical for not preventing the process from exiting because the interval is active.
.unref();
process.on('beforeExit', this._clientReportOnExitFlushListener);
}
}
/** @inheritDoc */
protected _setupIntegrations(): void {
// Clear AI provider skip registrations before setting up integrations
// This ensures a clean state between different client initializations
// (e.g., when LangChain skips OpenAI in one client, but a subsequent client uses OpenAI standalone)
_INTERNAL_clearAiProviderSkips();
super._setupIntegrations();
}
/** Custom implementation for OTEL, so we can handle scope-span linking. */
protected _getTraceInfoFromScope(
scope: Scope | undefined,
): [dynamicSamplingContext: Partial<DynamicSamplingContext> | undefined, traceContext: TraceContext | undefined] {
if (!scope) {
return [undefined, undefined];
}
return getTraceContextForScope(this, scope);
}
}