multimind-sdk/dist/compliance.js

This SDK gives JavaScript/TypeScript developers full access to advanced AI features like agent orchestration, RAG, and fine-tuning — without needing to manage backend code.

import { py } from './bridge/multimind-bridge.js';
export class ComplianceMonitor {
    constructor(config) {
        this.config = config;
    }
    async initialize() {
        try {
            this.monitor = await py `ComplianceMonitor(
        organization_id=${this.config.organizationId},
        enabled_regulations=${this.config.enabledRegulations},
        privacy_level=${this.config.privacyLevel},
        audit_enabled=${this.config.auditEnabled},
        real_time_monitoring=${this.config.realTimeMonitoring},
        alert_thresholds=${this.config.alertThresholds || {}}
      )`;
            this.validator = await py `ComplianceValidator()`;
            this.reporter = await py `ComplianceReporter()`;
            return { success: true, message: 'Compliance monitor initialized' };
        }
        catch (error) {
            console.error('Error initializing compliance monitor:', error);
            throw error;
        }
    }
    async checkCompliance(check) {
        try {
            const result = await py `self.monitor.check_compliance(
        model_id=${check.modelId},
        data_categories=${check.dataCategories},
        use_case=${check.useCase},
        region=${check.region || 'global'},
        custom_rules=${check.customRules || {}}
      )`;
            return {
                compliant: result.compliant,
                score: result.score,
                violations: result.violations || [],
                recommendations: result.recommendations || [],
                auditTrail: result.audit_trail || []
            };
        }
        catch (error) {
            console.error('Error checking compliance:', error);
            throw error;
        }
    }
    async validateData(data, dataType) {
        try {
            const isValid = await py `self.validator.validate_data(${data}, ${dataType})`;
            return isValid;
        }
        catch (error) {
            console.error('Error validating data:', error);
            throw error;
        }
    }
    async getDashboardMetrics(metrics) {
        try {
            const dashboard = await py `self.monitor.get_dashboard_metrics(
        time_range=${metrics.timeRange || '7d'},
        use_case=${metrics.useCase || 'general'},
        organization_id=${this.config.organizationId}
      )`;
            return {
                timeRange: dashboard.time_range,
                useCase: dashboard.use_case,
                complianceScore: dashboard.compliance_score,
                totalChecks: dashboard.total_checks,
                violations: dashboard.violations,
                alerts: dashboard.alerts,
                trends: dashboard.trends || []
            };
        }
        catch (error) {
            console.error('Error getting dashboard metrics:', error);
            throw error;
        }
    }
    async generateComplianceReport(startDate, endDate, format = 'pdf') {
        try {
            const report = await py `self.reporter.generate_report(
        organization_id=${this.config.organizationId},
        start_date=${startDate},
        end_date=${endDate},
        format=${format}
      )`;
            return report;
        }
        catch (error) {
            console.error('Error generating compliance report:', error);
            throw error;
        }
    }
    async addAuditEntry(entry) {
        try {
            const timestamp = new Date().toISOString();
            await py `self.monitor.add_audit_entry(
        timestamp=${timestamp},
        action=${entry.action},
        user_id=${entry.userId},
        details=${entry.details},
        risk_level=${entry.riskLevel}
      )`;
            return { success: true, message: 'Audit entry added' };
        }
        catch (error) {
            console.error('Error adding audit entry:', error);
            throw error;
        }
    }
    async getAuditTrail(startDate, endDate, userId, riskLevel) {
        try {
            const trail = await py `self.monitor.get_audit_trail(
        start_date=${startDate || null},
        end_date=${endDate || null},
        user_id=${userId || null},
        risk_level=${riskLevel || null}
      )`;
            return trail;
        }
        catch (error) {
            console.error('Error getting audit trail:', error);
            throw error;
        }
    }
    async setAlertThresholds(thresholds) {
        try {
            await py `self.monitor.set_alert_thresholds(${thresholds})`;
            return { success: true, message: 'Alert thresholds updated' };
        }
        catch (error) {
            console.error('Error setting alert thresholds:', error);
            throw error;
        }
    }
    async getAlerts(timeRange = '24h') {
        try {
            const alerts = await py `self.monitor.get_alerts(time_range=${timeRange})`;
            return alerts;
        }
        catch (error) {
            console.error('Error getting alerts:', error);
            throw error;
        }
    }
    async enableRealTimeMonitoring(enabled = true) {
        try {
            await py `self.monitor.enable_real_time_monitoring(${enabled})`;
            return { success: true, message: `Real-time monitoring ${enabled ? 'enabled' : 'disabled'}` };
        }
        catch (error) {
            console.error('Error toggling real-time monitoring:', error);
            throw error;
        }
    }
    async validatePrivacyCompliance(data, privacyLevel) {
        try {
            const result = await py `self.validator.validate_privacy(
        data=${data},
        privacy_level=${privacyLevel}
      )`;
            return result;
        }
        catch (error) {
            console.error('Error validating privacy compliance:', error);
            throw error;
        }
    }
}
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