autotel/dist/instrumentation.cjs.map

Write Once, Observe Anywhere

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{ NodeSDK } from '@opentelemetry/sdk-node';\nimport { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-http';\nimport { OTLPLogExporter } from '@opentelemetry/exporter-logs-otlp-http';\nimport { BatchLogRecordProcessor } from '@opentelemetry/sdk-logs';\nimport { BatchSpanProcessor } from '@opentelemetry/sdk-trace-base';\nimport { TailSamplingSpanProcessor } from './tail-sampling-processor';\nimport { getLogger } from './init';\nimport {\n  resourceFromAttributes,\n  detectResources,\n  processDetector,\n  hostDetector,\n  type Resource,\n  type ResourceDetector,\n} from '@opentelemetry/resources';\nimport {\n  ATTR_SERVICE_NAME,\n  ATTR_SERVICE_VERSION,\n} from '@opentelemetry/semantic-conventions/incubating';\nimport { OTLPMetricExporter } from '@opentelemetry/exporter-metrics-otlp-http';\nimport { PeriodicExportingMetricReader } from '@opentelemetry/sdk-metrics';\nimport { requireModule } from './node-require';\n\n/**\n * Parse OTLP headers string into object format\n * @param headersString - Headers as \"key1=value1,key2=value2\" or \"Authorization=Basic ...\"\n * @returns Headers object for OTLP exporters\n */\nfunction parseOtlpHeaders(headersString?: string): Record<string, string> {\n  if (!headersString) return {};\n\n  const headers: Record<string, string> = {};\n  const pairs = headersString.split(',');\n\n  for (const pair of pairs) {\n    const [key, ...valueParts] = pair.split('=');\n    if (key && valueParts.length > 0) {\n      headers[key.trim()] = valueParts.join('=').trim();\n    }\n  }\n\n  return headers;\n}\n\n/**\n * Parse resource attributes string into object format\n * @param attributesString - Attributes as \"key1=value1,key2=value2\"\n * @returns Resource attributes object\n */\nfunction parseResourceAttributes(\n  attributesString?: string,\n): Record<string, string> {\n  if (!attributesString) return {};\n\n  const attributes: Record<string, string> = {};\n  const pairs = attributesString.split(',');\n\n  for (const pair of pairs) {\n    const [key, ...valueParts] = pair.split('=');\n    if (key && valueParts.length > 0) {\n      attributes[key.trim()] = valueParts.join('=').trim();\n    }\n  }\n\n  return attributes;\n}\n\nexport interface InstrumentationConfig {\n  serviceName: string;\n  serviceVersion?: string;\n  deploymentEnvironment?: string;\n  otlpEndpoint?: string;\n  /** Headers for authentication (e.g., Grafana Cloud, Honeycomb) */\n  headers?: string;\n  /** Resource attributes as comma-separated key=value pairs */\n  resourceAttributes?: string;\n  /** Enable async resource detection for process/host info (default: false) */\n  detectResources?: boolean;\n  /**\n   * Use selective instrumentation instead of full auto-instrumentation\n   * **Default: true** (performance-first)\n   *\n   * When true, auto-instrumentation is disabled. You can manually add\n   * specific instrumentations via the `instrumentations` field.\n   * This reduces overhead from ~81% to near-zero based on Platformatic benchmarks.\n   *\n   * Set to false to enable full auto-instrumentation (not recommended for production).\n   *\n   * @see https://blogger.platformatic.dev/the-hidden-cost-of-context\n   */\n  selectiveInstrumentation?: boolean;\n\n  /**\n   * Custom instrumentations to use (only when selectiveInstrumentation is true)\n   * @example\n   * ```typescript\n   * import { HttpInstrumentation } from '@opentelemetry/instrumentation-http'\n   *\n   * initInstrumentation({\n   *   serviceName: 'api',\n   *   selectiveInstrumentation: true,\n   *   instrumentations: [new HttpInstrumentation()]\n   * })\n   * ```\n   */\n  // eslint-disable-next-line @typescript-eslint/no-explicit-any\n  instrumentations?: any[];\n}\n\n/**\n * Initialize OpenTelemetry instrumentation with OTLP exporters\n *\n * This sets up:\n * - Traces (OTLP HTTP)\n * - Metrics (OTLP HTTP)\n * - Logs (OTLP HTTP)\n * - Auto-instrumentation for common Node.js libraries\n *\n * @example\n * // Call this at the very start of your application\n * import { initInstrumentation } from '@your-org/otel-decorators'\n *\n * initInstrumentation({\n *   serviceName: 'my-service' }\n *   serviceVersion: '1.0.0',\n *   deploymentEnvironment: 'production',\n *   otlpEndpoint: 'http://localhost:4318'\n * })\n *\n * // Or with async resource detection (top-level await required)\n * await initInstrumentation({\n *   serviceName: 'my-service' }\n *   detectResources: true\n * })\n */\n// Enables graceful shutdown and prevents SDK leaks on hot-reload\nlet currentSDK: NodeSDK | null = null;\nlet shutdownHandlerRegistered = false;\n\n/**\n * Shutdown the OpenTelemetry SDK gracefully\n * Call this before process exit or during hot-reloads\n */\nexport async function shutdownInstrumentation(sdk?: NodeSDK): Promise<void> {\n  const sdkToShutdown = sdk || currentSDK;\n  if (!sdkToShutdown) {\n    getLogger().warn({}, 'No SDK to shutdown');\n    return;\n  }\n\n  try {\n    await sdkToShutdown.shutdown();\n    getLogger().info({}, 'OpenTelemetry terminated successfully');\n    if (sdkToShutdown === currentSDK) {\n      currentSDK = null;\n    }\n  } catch (error) {\n    getLogger().error(\n      {\n        err: error instanceof Error ? error : undefined,\n      },\n      'Error terminating OpenTelemetry',\n    );\n    throw error;\n  }\n}\n\nexport async function initInstrumentation(\n  config: InstrumentationConfig,\n): Promise<NodeSDK> {\n  // Prevents resource leaks on hot-reload or multiple init calls\n  if (currentSDK) {\n    getLogger().info(\n      {},\n      'Shutting down existing OpenTelemetry SDK before reinitializing...',\n    );\n    await shutdownInstrumentation(currentSDK);\n  }\n\n  // Parse headers and resource attributes\n  const otlpHeaders = parseOtlpHeaders(config.headers);\n  const customResourceAttributes = parseResourceAttributes(\n    config.resourceAttributes,\n  );\n\n  let resource: Resource;\n\n  // Dynamically load optional resource detectors\n  const detectors: ResourceDetector[] = [processDetector, hostDetector];\n  try {\n    const awsDetectors = await import('@opentelemetry/resource-detector-aws');\n    detectors.push(\n      awsDetectors.awsEc2Detector,\n      awsDetectors.awsEcsDetector,\n      awsDetectors.awsEksDetector,\n    );\n  } catch {\n    // ignore\n  }\n  try {\n    const gcpDetectors = await import('@opentelemetry/resource-detector-gcp');\n    detectors.push(gcpDetectors.gcpDetector);\n  } catch {\n    // ignore\n  }\n  try {\n    const containerDetectors =\n      await import('@opentelemetry/resource-detector-container');\n    detectors.push(containerDetectors.containerDetector);\n  } catch {\n    // ignore\n  }\n\n  if (config.detectResources) {\n    const detectedResource = await detectResources({\n      detectors,\n    });\n\n    resource = detectedResource.merge(\n      resourceFromAttributes({\n        [ATTR_SERVICE_NAME]: config.serviceName,\n        [ATTR_SERVICE_VERSION]: config.serviceVersion || '1.0.0',\n        'deployment.environment': config.deploymentEnvironment || 'development',\n        ...customResourceAttributes, // Merge custom resource attributes\n      }),\n    );\n  } else {\n    resource = resourceFromAttributes({\n      [ATTR_SERVICE_NAME]: config.serviceName,\n      [ATTR_SERVICE_VERSION]: config.serviceVersion || '1.0.0',\n      'deployment.environment': config.deploymentEnvironment || 'development',\n      ...customResourceAttributes, // Merge custom resource attributes\n    });\n  }\n\n  // Default to selective (near-zero overhead) vs full auto (~81% overhead)\n  // Lazy-load to avoid importing ~40+ packages at module evaluation time\n  // eslint-disable-next-line @typescript-eslint/no-explicit-any\n  let instrumentations: any[] = config.instrumentations || [];\n  if (config.selectiveInstrumentation === false) {\n    const mod = requireModule<{\n      getNodeAutoInstrumentations: () => unknown[];\n    }>('@opentelemetry/auto-instrumentations-node');\n    instrumentations = [mod.getNodeAutoInstrumentations()];\n  }\n\n  const traceExporter = new OTLPTraceExporter({\n    url: `${config.otlpEndpoint || 'http://localhost:4318'}/v1/traces`,\n    headers: otlpHeaders,\n  });\n\n  // Enables tail sampling via autotel.sampling.tail.keep attribute\n  const spanProcessor = new TailSamplingSpanProcessor(\n    new BatchSpanProcessor(traceExporter),\n  );\n\n  const sdk = new NodeSDK({\n    resource,\n    spanProcessor, // Use our wrapped processor instead of traceExporter directly\n    metricReader: new PeriodicExportingMetricReader({\n      exporter: new OTLPMetricExporter({\n        url: `${config.otlpEndpoint || 'http://localhost:4318'}/v1/metrics`,\n        headers: otlpHeaders,\n      }),\n    }),\n    logRecordProcessors: [\n      new BatchLogRecordProcessor(\n        new OTLPLogExporter({\n          url: `${config.otlpEndpoint || 'http://localhost:4318'}/v1/logs`,\n          headers: otlpHeaders,\n        }),\n      ),\n    ],\n    instrumentations,\n  });\n\n  try {\n    await sdk.start();\n    getLogger().info({}, 'OpenTelemetry instrumentation started successfully');\n  } catch (error) {\n    getLogger().error(\n      {\n        err: error instanceof Error ? 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