import { Logger } from '../../utils/logger'; /** * @interface GcpOperationsSuiteConfig * @description Configuration for GCP Operations Suite Integration. */ export interface GcpOperationsSuiteConfig { projectID: string; // Add configuration for specific monitoring, logging, tracing setups } /** * @interface GcpOperationsSuiteOperations * @description Defines operations for integrating with Google Cloud Operations Suite. */ export interface GcpOperationsSuiteOperations { log(level: 'info' | 'warn' | 'error' | 'debug', message: string, metadata?: any): Promise; recordMetric(metricName: string, value: number, labels?: { [key: string]: string }): Promise; startTrace(traceName: string): any; // Returns a trace span object endTrace(span: any): Promise; reportError(error: Error, context?: any): Promise; profileApplication(durationSeconds: number): Promise; } /** * @class GcpOperationsSuiteIntegration * @description Provides enterprise-grade monitoring and observability by integrating with Google Cloud Operations Suite. */ export class GcpOperationsSuiteIntegration implements GcpOperationsSuiteOperations { private config: GcpOperationsSuiteConfig; private logger: Logger; // Placeholders for GCP Operations Suite clients // private monitoringClient: any; // private loggingClient: any; // private traceClient: any; // private profilerClient: any; // private errorReportingClient: any; constructor(config: GcpOperationsSuiteConfig) { this.config = config; this.logger = new Logger('GcpOperationsSuiteIntegration'); this.logger.info('GCP Operations Suite Integration initialized.'); // Initialize GCP Operations Suite clients here (conceptual) } /** * Logs messages to Google Cloud Logging. * @param {'info' | 'warn' | 'error' | 'debug'} level The log level. * @param {string} message The log message. * @param {any} [metadata] Optional metadata to include with the log entry. * @returns {Promise} */ public async log(level: 'info' | 'warn' | 'error' | 'debug', message: string, metadata?: any): Promise { // Simulate logging to Cloud Logging console.log(`[Cloud Logging - ${level.toUpperCase()}] ${message}`, metadata || ''); await new Promise(resolve => setTimeout(resolve, 10)); // Simulate latency } /** * Records custom metrics to Google Cloud Monitoring. * @param {string} metricName The name of the metric. * @param {number} value The value of the metric. * @param {{ [key: string]: string }} [labels] Optional labels for the metric. * @returns {Promise} */ public async recordMetric(metricName: string, value: number, labels?: { [key: string]: string }): Promise { this.logger.info(`Recording metric ${metricName}: ${value} with labels:`, labels); // Simulate recording to Cloud Monitoring await new Promise(resolve => setTimeout(resolve, 20)); // Simulate latency } /** * Starts a trace span for distributed request tracing with Cloud Trace. * @param {string} traceName The name of the trace span. * @returns {any} A simulated trace span object. */ public startTrace(traceName: string): any { this.logger.info(`Starting trace: ${traceName}`); // Simulate starting a trace span return { name: traceName, startTime: Date.now(), id: `trace-${Date.now()}` }; } /** * Ends a trace span and sends it to Cloud Trace. * @param {any} span The simulated trace span object. * @returns {Promise} */ public async endTrace(span: any): Promise { this.logger.info(`Ending trace: ${span.name}`); // Simulate ending a trace span and sending to Cloud Trace span.endTime = Date.now(); span.duration = span.endTime - span.startTime; await new Promise(resolve => setTimeout(resolve, 15)); // Simulate latency } /** * Reports an error to Google Cloud Error Reporting. * @param {Error} error The error object to report. * @param {any} [context] Optional context for the error. * @returns {Promise} */ public async reportError(error: Error, context?: any): Promise { this.logger.error(`Reporting error to Cloud Error Reporting: ${error.message}`, context); // Simulate reporting error await new Promise(resolve => setTimeout(resolve, 25)); // Simulate latency } /** * Profiles the application performance using Cloud Profiler. * @param {number} durationSeconds The duration for which to profile. * @returns {Promise} The profiling results. */ public async profileApplication(durationSeconds: number): Promise { this.logger.info(`Profiling application for ${durationSeconds} seconds with Cloud Profiler...`); // Simulate profiling await new Promise(resolve => setTimeout(resolve, durationSeconds * 1000)); const profileResult = { durationSeconds, cpuProfile: 'simulated_cpu_profile', memoryProfile: 'simulated_memory_profile' }; this.logger.debug('Application profiling complete.', profileResult); return profileResult; } }