Important Legal Notice: HeadElf is a business intelligence and decision support tool. All recommendations require validation by qualified professionals. See our
Legal Disclaimer for complete terms and limitations.
This comprehensive guide is designed for developers, architects, and technical contributors who want to understand, extend, or contribute to HeadElfβs C-Suite Executive Intelligence System.
Development Philosophy
HeadElf follows enterprise-grade development principles that ensure reliability, scalability, and maintainability:
Core Principles
- Executive-First Design: Every component designed for autonomous executive decision-making
- Type Safety: Full TypeScript implementation with strict type checking
- Test-Driven Development: Minimum 95% code coverage for all production components
- Security by Design: Zero-trust architecture with comprehensive security controls
- Performance Excellence: Sub-5-second response times for executive queries
Architecture Patterns
- Domain-Driven Design: Clear separation between C-suite domains (CTO, CFO, CISO, CIO, COO)
- Event-Driven Architecture: Asynchronous communication between components
- Microservices: Independent, scalable services for each C-suite function
- API-First: RESTful APIs with OpenAPI specifications for all interfaces
Development Environment Setup
Prerequisites
System Requirements:
- Node.js: Version 18.0+ (LTS recommended)
- TypeScript: Version 5.0+
- Python: Version 3.9+ (for AI/ML components)
- Docker: Version 20.0+ (for containerized development)
- Git: Version 2.30+
Development Tools:
- IDE: Visual Studio Code with recommended extensions
- Database: PostgreSQL 14+ for data storage
- Cache: Redis 7.0+ for performance optimization
- Message Queue: RabbitMQ or Apache Kafka for event processing
Installation and Setup
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| # Clone the HeadElf repository
git clone https://github.com/pauljbernard/headElf.git
cd headElf
# Install Node.js dependencies
npm install
# Install Python dependencies for AI/ML components
pip install -r requirements.txt
# Set up development environment
cp .env.example .env.local
# Edit .env.local with your configuration
# Initialize development database
npm run db:setup
# Start development services
docker-compose up -d postgres redis rabbitmq
# Run development server
npm run dev
# Verify installation
npm run test
npm run lint
npm run type-check
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Development Configuration
Environment Variables:
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| # Core Configuration
NODE_ENV=development
PORT=3000
DATABASE_URL=postgresql://localhost:5432/headelf_dev
REDIS_URL=redis://localhost:6379
# Claude Code Integration
CLAUDE_CODE_API_KEY=your_api_key_here
CLAUDE_CODE_ENDPOINT=https://api.claude.ai/v1
# AI/ML Configuration
OPENAI_API_KEY=your_openai_key
ANTHROPIC_API_KEY=your_anthropic_key
# Security Configuration
JWT_SECRET=your_jwt_secret
ENCRYPTION_KEY=your_encryption_key
# Enterprise Integration (Optional)
ERP_INTEGRATION_ENABLED=false
CRM_INTEGRATION_ENABLED=false
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Core Architecture Overview
Executive Intelligence Core
The central orchestration engine that coordinates all C-suite functions:
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| // src/core/executive-intelligence-engine.ts
export class ExecutiveIntelligenceEngine {
private csuiteModules: Map<CSSuiteRole, CSSuiteModule>
private extensionRegistry: ExtensionRegistry
private decisionOrchestrator: DecisionOrchestrator
async processExecutiveQuery(
query: ExecutiveQuery,
context: ExecutiveContext
): Promise<ExecutiveResponse> {
// Coordinate cross-functional analysis
const analysis = await this.coordinateAnalysis(query, context)
// Apply industry extensions
const enhancedAnalysis = await this.applyExtensions(analysis, context)
// Generate coordinated response
return await this.generateResponse(enhancedAnalysis, context)
}
private async coordinateAnalysis(
query: ExecutiveQuery,
context: ExecutiveContext
): Promise<CrossFunctionalAnalysis> {
const analyses = await Promise.all([
this.csuiteModules.get('CTO')?.analyze(query, context),
this.csuiteModules.get('CFO')?.analyze(query, context),
this.csuiteModules.get('CISO')?.analyze(query, context),
this.csuiteModules.get('CIO')?.analyze(query, context),
this.csuiteModules.get('COO')?.analyze(query, context)
])
return this.decisionOrchestrator.coordinate(analyses)
}
}
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C-Suite Module Architecture
Each C-suite role is implemented as an independent module:
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| // src/modules/cto/cto-intelligence-module.ts
export class CTOIntelligenceModule implements CSSuiteModule {
private technologyAnalyzer: TechnologyAnalyzer
private innovationEngine: InnovationEngine
private ventureCapitalFramework: VentureCapitalFramework
async analyze(
query: ExecutiveQuery,
context: ExecutiveContext
): Promise<CTOAnalysis> {
const analysis: CTOAnalysis = {
technologyAssessment: await this.assessTechnology(query, context),
innovationOpportunities: await this.identifyInnovation(query, context),
implementationRoadmap: await this.developRoadmap(query, context),
riskAssessment: await this.assessRisks(query, context)
}
return analysis
}
private async assessTechnology(
query: ExecutiveQuery,
context: ExecutiveContext
): Promise<TechnologyAssessment> {
return await this.technologyAnalyzer.analyze({
currentStack: context.technologyContext,
requirements: query.requirements,
constraints: context.constraints
})
}
}
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Extension Framework
The two-dimensional extensibility framework enables community contributions:
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| // src/core/extension-framework.ts
export interface IndustryExtension {
industry: IndustryType
regulatoryFrameworks: RegulatoryFramework[]
domainExpertise: DomainCapability[]
enhanceExecutiveDecision(
decision: ExecutiveDecision,
context: IndustryContext
): Promise<EnhancedDecision>
validateCompliance(
decision: ExecutiveDecision,
regulations: RegulatoryFramework[]
): Promise<ComplianceValidation>
}
export interface EnterpriseContextExtension {
contextType: EnterpriseContextType
organizationalPatterns: AnonymizedPattern[]
culturalFrameworks: CulturalAdaptation[]
adaptDecisionContext(
decision: ExecutiveDecision,
context: EnterpriseContext
): Promise<ContextualizedDecision>
}
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Developing C-Suite Modules
Creating a New C-Suite Module
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| // src/modules/example/example-intelligence-module.ts
import { CSSuiteModule, ExecutiveQuery, ExecutiveContext } from '../core/types'
export class ExampleIntelligenceModule implements CSSuiteModule {
public readonly role: CSSuiteRole = 'EXAMPLE'
constructor(
private config: ExampleModuleConfig,
private services: ExampleServices
) {}
async analyze(
query: ExecutiveQuery,
context: ExecutiveContext
): Promise<ExampleAnalysis> {
// Implement domain-specific analysis logic
const analysis = await this.performAnalysis(query, context)
// Validate results
await this.validateAnalysis(analysis)
return analysis
}
async generateRecommendations(
analysis: ExampleAnalysis,
context: ExecutiveContext
): Promise<ExampleRecommendations> {
// Generate actionable recommendations
return await this.recommendationEngine.generate(analysis, context)
}
private async performAnalysis(
query: ExecutiveQuery,
context: ExecutiveContext
): Promise<ExampleAnalysis> {
// Implementation details
}
}
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Module Registration
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| // src/core/module-registry.ts
export class ModuleRegistry {
private modules: Map<CSSuiteRole, CSSuiteModule> = new Map()
registerModule(module: CSSuiteModule): void {
this.modules.set(module.role, module)
this.validateModule(module)
}
private validateModule(module: CSSuiteModule): void {
// Validate module interface compliance
// Check required methods implementation
// Verify configuration completeness
}
}
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Developing Industry Extensions
Creating an Industry Extension
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| // src/extensions/industry/manufacturing-extension.ts
export class ManufacturingExtension implements IndustryExtension {
public readonly industry: IndustryType = 'MANUFACTURING'
public readonly regulatoryFrameworks: RegulatoryFramework[] = [
{ name: 'ISO 9001', version: '2015', jurisdiction: 'Global' },
{ name: 'OSHA', version: 'Current', jurisdiction: 'United States' },
{ name: 'REACH', version: '2007', jurisdiction: 'European Union' }
]
async enhanceExecutiveDecision(
decision: ExecutiveDecision,
context: IndustryContext
): Promise<EnhancedDecision> {
const enhancement: DecisionEnhancement = {
industrySpecificRisks: await this.assessIndustryRisks(decision, context),
regulatoryCompliance: await this.validateCompliance(decision, this.regulatoryFrameworks),
bestPractices: await this.identifyBestPractices(decision, context),
implementation: await this.adaptImplementation(decision, context)
}
return {
...decision,
enhancement
}
}
private async assessIndustryRisks(
decision: ExecutiveDecision,
context: IndustryContext
): Promise<IndustryRiskAssessment> {
// Manufacturing-specific risk analysis
return {
supplyChainRisks: await this.analyzeSupplyChainRisks(decision, context),
qualityRisks: await this.analyzeQualityRisks(decision, context),
safetyRisks: await this.analyzeSafetyRisks(decision, context),
environmentalRisks: await this.analyzeEnvironmentalRisks(decision, context)
}
}
}
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Extension Registration and Testing
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| // src/extensions/__tests__/manufacturing-extension.test.ts
import { ManufacturingExtension } from '../industry/manufacturing-extension'
import { createTestDecision, createTestContext } from '../test-utils'
describe('ManufacturingExtension', () => {
let extension: ManufacturingExtension
beforeEach(() => {
extension = new ManufacturingExtension()
})
it('should enhance manufacturing-specific decisions', async () => {
const decision = createTestDecision('MANUFACTURING_INVESTMENT')
const context = createTestContext('MANUFACTURING')
const enhancedDecision = await extension.enhanceExecutiveDecision(decision, context)
expect(enhancedDecision.enhancement).toBeDefined()
expect(enhancedDecision.enhancement.industrySpecificRisks).toBeDefined()
expect(enhancedDecision.enhancement.regulatoryCompliance).toBeDefined()
})
it('should validate regulatory compliance', async () => {
const decision = createTestDecision('REGULATORY_CHANGE')
const regulations = extension.regulatoryFrameworks
const compliance = await extension.validateCompliance(decision, regulations)
expect(compliance.overallCompliance).toBe(true)
expect(compliance.frameworkCompliance).toHaveLength(regulations.length)
})
})
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Testing Framework
Unit Testing
HeadElf uses Jest for comprehensive unit testing:
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| // src/modules/cto/__tests__/cto-intelligence-module.test.ts
import { CTOIntelligenceModule } from '../cto-intelligence-module'
import { createMockServices, createTestQuery, createTestContext } from '../../test-utils'
describe('CTOIntelligenceModule', () => {
let module: CTOIntelligenceModule
let mockServices: MockServices
beforeEach(() => {
mockServices = createMockServices()
module = new CTOIntelligenceModule(mockServices)
})
describe('analyze', () => {
it('should provide comprehensive technology analysis', async () => {
const query = createTestQuery('TECHNOLOGY_ASSESSMENT')
const context = createTestContext()
const analysis = await module.analyze(query, context)
expect(analysis.technologyAssessment).toBeDefined()
expect(analysis.innovationOpportunities).toBeDefined()
expect(analysis.implementationRoadmap).toBeDefined()
expect(analysis.riskAssessment).toBeDefined()
})
it('should handle complex M&A technology integration scenarios', async () => {
const query = createTestQuery('MA_TECHNOLOGY_INTEGRATION')
const context = createTestContext({ scenario: 'MA_DUE_DILIGENCE' })
const analysis = await module.analyze(query, context)
expect(analysis.technologyAssessment.integrationComplexity).toBeDefined()
expect(analysis.implementationRoadmap.phases).toHaveLength(3)
expect(analysis.riskAssessment.technicalRisks).toBeDefined()
})
})
})
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Integration Testing
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| // src/__tests__/integration/executive-intelligence.test.ts
import { ExecutiveIntelligenceEngine } from '../core/executive-intelligence-engine'
import { setupTestEnvironment, teardownTestEnvironment } from '../test-utils'
describe('Executive Intelligence Integration', () => {
let engine: ExecutiveIntelligenceEngine
beforeAll(async () => {
await setupTestEnvironment()
engine = new ExecutiveIntelligenceEngine()
})
afterAll(async () => {
await teardownTestEnvironment()
})
it('should coordinate cross-functional M&A analysis', async () => {
const query = {
type: 'MA_EVALUATION',
content: 'Analyze acquisition of fintech startup: $500M valuation, regulatory considerations',
context: {
industry: 'FINANCIAL_SERVICES',
complexity: 'HIGH',
timeline: 'URGENT'
}
}
const response = await engine.processExecutiveQuery(query, {
organizationId: 'test-org',
authorityLevel: 3,
businessContext: { industry: 'FINANCIAL_SERVICES' }
})
expect(response.ctoAnalysis).toBeDefined()
expect(response.cfoAnalysis).toBeDefined()
expect(response.cisoAnalysis).toBeDefined()
expect(response.cioAnalysis).toBeDefined()
expect(response.cooAnalysis).toBeDefined()
expect(response.coordinatedRecommendations).toBeDefined()
})
})
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| // src/__tests__/performance/response-time.test.ts
import { performance } from 'perf_hooks'
import { ExecutiveIntelligenceEngine } from '../core/executive-intelligence-engine'
describe('Performance Requirements', () => {
let engine: ExecutiveIntelligenceEngine
beforeEach(() => {
engine = new ExecutiveIntelligenceEngine()
})
it('should respond to standard queries within 5 seconds', async () => {
const query = createStandardQuery()
const context = createStandardContext()
const startTime = performance.now()
const response = await engine.processExecutiveQuery(query, context)
const endTime = performance.now()
const responseTime = endTime - startTime
expect(responseTime).toBeLessThan(5000) // 5 seconds
expect(response).toBeDefined()
})
it('should handle concurrent executive queries', async () => {
const queries = Array(10).fill(null).map(() => createStandardQuery())
const context = createStandardContext()
const startTime = performance.now()
const responses = await Promise.all(
queries.map(query => engine.processExecutiveQuery(query, context))
)
const endTime = performance.now()
const totalTime = endTime - startTime
expect(totalTime).toBeLessThan(10000) // 10 seconds for 10 concurrent queries
expect(responses).toHaveLength(10)
})
})
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Security Development Guidelines
Secure Coding Practices
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| // src/security/input-validation.ts
import { z } from 'zod'
export const ExecutiveQuerySchema = z.object({
type: z.enum(['MA_EVALUATION', 'TECHNOLOGY_ASSESSMENT', 'FINANCIAL_ANALYSIS']),
content: z.string().min(10).max(5000),
context: z.object({
industry: z.string().optional(),
complexity: z.enum(['LOW', 'MEDIUM', 'HIGH']).optional(),
timeline: z.enum(['STANDARD', 'URGENT', 'STRATEGIC']).optional()
}).optional(),
confidentialityLevel: z.enum(['PUBLIC', 'INTERNAL', 'CONFIDENTIAL', 'RESTRICTED']).default('INTERNAL')
})
export function validateExecutiveQuery(input: unknown): ExecutiveQuery {
return ExecutiveQuerySchema.parse(input)
}
// Usage in API endpoints
app.post('/api/executive/query', async (req, res) => {
try {
const query = validateExecutiveQuery(req.body)
// Process validated query
const response = await engine.processExecutiveQuery(query, context)
res.json(response)
} catch (error) {
if (error instanceof z.ZodError) {
res.status(400).json({ error: 'Invalid input', details: error.errors })
} else {
res.status(500).json({ error: 'Internal server error' })
}
}
})
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Data Protection and Anonymization
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| // src/privacy/anonymization.ts
export class EnterpriseDataAnonymizer {
async anonymizeExecutiveContext(
context: ExecutiveContext,
level: AnonymizationLevel
): Promise<AnonymizedContext> {
switch (level) {
case 'BASIC':
return this.basicAnonymization(context)
case 'ENHANCED':
return this.enhancedAnonymization(context)
case 'ADVANCED':
return this.advancedAnonymization(context)
case 'MAXIMUM':
return this.maximumAnonymization(context)
}
}
private basicAnonymization(context: ExecutiveContext): AnonymizedContext {
return {
...context,
organizationId: this.hashOrganizationId(context.organizationId),
personalIdentifiers: undefined,
specificCompanyReferences: this.replaceWithGenericTerms(context.specificCompanyReferences)
}
}
private hashOrganizationId(orgId: string): string {
return crypto.createHash('sha256').update(orgId).digest('hex').substring(0, 16)
}
}
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API Development
RESTful API Design
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| // src/api/routes/executive.ts
import { Router } from 'express'
import { ExecutiveIntelligenceEngine } from '../core/executive-intelligence-engine'
import { authenticateToken, authorizeExecutive, validateInput } from '../middleware'
const router = Router()
router.post('/query',
authenticateToken,
authorizeExecutive,
validateInput(ExecutiveQuerySchema),
async (req, res) => {
try {
const engine = new ExecutiveIntelligenceEngine()
const response = await engine.processExecutiveQuery(req.body, req.user.context)
res.json({
success: true,
data: response,
timestamp: new Date().toISOString()
})
} catch (error) {
res.status(500).json({
success: false,
error: error.message,
timestamp: new Date().toISOString()
})
}
}
)
router.get('/modules',
authenticateToken,
async (req, res) => {
const engine = new ExecutiveIntelligenceEngine()
const modules = await engine.getAvailableModules()
res.json({
success: true,
data: modules
})
}
)
export default router
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GraphQL API (Alternative)
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| // src/api/graphql/schema.ts
import { buildSchema } from 'graphql'
export const schema = buildSchema(`
type ExecutiveQuery {
id: ID!
type: ExecutiveQueryType!
content: String!
context: ExecutiveContext
timestamp: String!
}
type ExecutiveResponse {
id: ID!
ctoAnalysis: CTOAnalysis
cfoAnalysis: CFOAnalysis
cisoAnalysis: CISOAnalysis
cioAnalysis: CIOAnalysis
cooAnalysis: COOAnalysis
coordinatedRecommendations: [Recommendation!]!
confidence: Float!
timestamp: String!
}
type Query {
getExecutiveModules: [CSuiteModule!]!
getIndustryExtensions: [IndustryExtension!]!
}
type Mutation {
processExecutiveQuery(input: ExecutiveQueryInput!): ExecutiveResponse!
registerExtension(input: ExtensionInput!): Extension!
}
`)
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Deployment and DevOps
Docker Configuration
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| # Dockerfile
FROM node:18-alpine AS base
WORKDIR /app
# Install dependencies
COPY package*.json ./
RUN npm ci --only=production
# Build application
FROM base AS build
COPY . .
RUN npm run build
# Production image
FROM node:18-alpine AS production
WORKDIR /app
# Copy built application
COPY --from=build /app/dist ./dist
COPY --from=build /app/node_modules ./node_modules
COPY --from=build /app/package.json ./package.json
# Create non-root user
RUN addgroup -g 1001 -S nodejs
RUN adduser -S headelf -u 1001
USER headelf
EXPOSE 3000
CMD ["node", "dist/index.js"]
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Kubernetes Deployment
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| # k8s/deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: headelf-executive-intelligence
labels:
app: headelf
component: executive-intelligence
spec:
replicas: 3
selector:
matchLabels:
app: headelf
component: executive-intelligence
template:
metadata:
labels:
app: headelf
component: executive-intelligence
spec:
containers:
- name: executive-intelligence
image: headelf/executive-intelligence:latest
ports:
- containerPort: 3000
env:
- name: NODE_ENV
value: "production"
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: headelf-secrets
key: database-url
resources:
requests:
memory: "2Gi"
cpu: "1000m"
limits:
memory: "8Gi"
cpu: "4000m"
livenessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 30
periodSeconds: 10
readinessProbe:
httpGet:
path: /ready
port: 3000
initialDelaySeconds: 5
periodSeconds: 5
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Monitoring and Observability
Application Metrics
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| // src/monitoring/metrics.ts
import { createPrometheusMetrics } from 'prom-client'
export const metrics = {
executiveQueries: new prometheus.Counter({
name: 'headelf_executive_queries_total',
help: 'Total number of executive queries processed',
labelNames: ['type', 'industry', 'complexity']
}),
queryResponseTime: new prometheus.Histogram({
name: 'headelf_query_response_time_seconds',
help: 'Response time for executive queries',
labelNames: ['type', 'csuite_role'],
buckets: [0.1, 0.5, 1, 2, 5, 10]
}),
modulePerformance: new prometheus.Gauge({
name: 'headelf_module_performance_score',
help: 'Performance score for C-suite modules',
labelNames: ['module', 'metric_type']
})
}
export function recordExecutiveQuery(type: string, industry: string, complexity: string): void {
metrics.executiveQueries.labels(type, industry, complexity).inc()
}
export function recordQueryResponseTime(type: string, role: string, duration: number): void {
metrics.queryResponseTime.labels(type, role).observe(duration)
}
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Logging Framework
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| // src/logging/logger.ts
import winston from 'winston'
export const logger = winston.createLogger({
level: process.env.LOG_LEVEL || 'info',
format: winston.format.combine(
winston.format.timestamp(),
winston.format.errors({ stack: true }),
winston.format.json()
),
defaultMeta: {
service: 'headelf-executive-intelligence',
version: process.env.APP_VERSION
},
transports: [
new winston.transports.File({
filename: 'logs/error.log',
level: 'error'
}),
new winston.transports.File({
filename: 'logs/combined.log'
}),
new winston.transports.Console({
format: winston.format.combine(
winston.format.colorize(),
winston.format.simple()
)
})
]
})
export function logExecutiveQuery(
queryId: string,
type: string,
context: ExecutiveContext
): void {
logger.info('Executive query processed', {
queryId,
type,
industry: context.businessContext?.industry,
authorityLevel: context.authorityLevel,
timestamp: new Date().toISOString()
})
}
|
Contributing Guidelines
Code Review Process
- Fork and Branch: Create feature branch from
main
- Development: Follow coding standards, write tests
- Testing: Ensure all tests pass, maintain >95% coverage
- Documentation: Update relevant documentation
- Pull Request: Submit PR with detailed description
- Review: Code review by maintainers and domain experts
- Merge: Squash and merge after approval
Quality Gates
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| // .github/workflows/ci.yml
name: Continuous Integration
on:
pull_request:
branches: [ main ]
push:
branches: [ main ]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: actions/setup-node@v3
with:
node-version: '18'
cache: 'npm'
- run: npm ci
- run: npm run lint
- run: npm run type-check
- run: npm run test
- run: npm run test:integration
- run: npm run security-audit
build:
runs-on: ubuntu-latest
needs: test
steps:
- uses: actions/checkout@v3
- run: npm ci
- run: npm run build
- run: docker build -t headelf:$ .
|
Contribution Standards
Code Quality Requirements:
- TypeScript strict mode compliance
- ESLint and Prettier formatting
- Comprehensive JSDoc documentation
- Unit test coverage >95%
- Integration test coverage for major workflows
Security Requirements:
- Input validation for all external inputs
- Secure handling of sensitive executive data
- Proper authentication and authorization
- Regular security dependency updates
Performance Requirements:
- Query response time <5 seconds
- Memory usage optimization
- Database query optimization
- Caching strategy implementation
Development Excellence
HeadElf maintains enterprise-grade development standards to ensure reliability, security, and performance. Contributors are expected to follow these guidelines to maintain the high quality standards required for C-suite executive intelligence systems.
For questions or support, please refer to our GitHub Discussions or create an issue in our GitHub Repository.