- 🏗️ Architecture Overview
- ✨ Core Features
- 🔐 Authentication & Authorization
- 📊 Database Schema
- 🚀 API Endpoints
- 📧 Email System
- 🔄 Business Workflows
- 🏗️ Infrastructure Components
- 🔄 CI/CD Pipeline
- 📱 Real-time Communication
- 💰 Payment Processing
- 📊 Analytics & Reporting
- 🛡️ Security Features
- 🚀 Deployment
- 🧪 Testing & Validation
Auto Lab Solutions is a serverless automotive service management system built entirely on AWS infrastructure. The system follows microservices architecture using AWS Lambda functions, DynamoDB for data persistence, and various AWS services for comprehensive functionality.
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Frontend │────│ API Gateway │────│ Lambda │
│ (React) │ │ (REST API) │ │ Functions │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│ │
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Auth0 │────│ WebSocket │────│ DynamoDB │
│ (Identity) │ │ (Real-time) │ │ (Database) │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│ │
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Stripe │────│ SQS Queues │────│ S3 + CDN │
│ (Payments) │ │ (Async Tasks) │ │ (File Storage)│
└─────────────────┘ └──────────────────┘ └─────────────────┘
│
┌──────────────────┐
│ SES │
│ (Email) │
└──────────────────┘
- 📈 Serverless-First: 100% serverless using AWS Lambda for zero server management
- 🔄 Event-Driven: Asynchronous processing using SQS queues for scalability
- 🏗️ Infrastructure as Code: Complete infrastructure defined in CloudFormation
- 🔒 Security by Design: JWT-based authentication with role-based access control
- 📊 Real-time Updates: WebSocket connections for live staff communication
- 💾 Data Consistency: ACID transactions with DynamoDB's native capabilities
- 📅 Schedule Management: Advanced scheduling system with conflict detection
- ⏰ Time Slot Management: Dynamic availability tracking and booking prevention
- 📋 Service Tracking: Complete appointment lifecycle from creation to completion
- 🔄 Status Transitions: Automated status updates (Scheduled → In Progress → Completed)
- 📱 Real-time Updates: Staff notifications for appointment changes
- 📦 Service Catalog: Dynamic pricing for automotive services
- 🔧 Parts Management: Inventory tracking for automotive parts and components
- 💼 Order Processing: End-to-end order management with status tracking
- 📊 Service History: Complete customer service history and analytics
- 💰 Multi-Payment Support: Cash, bank transfer, and Stripe credit card payments
- 🧾 Invoice Generation: Automated PDF invoice creation and delivery
- 📧 Payment Confirmation: Email notifications for successful payments
- 🔄 Payment Status Tracking: Real-time payment status updates
- 👤 User Profiles: Complete customer information management
- 🚗 Vehicle Records: Multi-vehicle support per customer
- 📞 Communication History: Complete message and inquiry tracking
- 📊 Service Analytics: Customer service patterns and history
- 📱 Real-time Messaging: WebSocket-based staff-customer communication
- 📧 Email Automation: Comprehensive email notification system
- 🔔 Multi-channel Notifications: Email, WebSocket, and optional Firebase push notifications
- 📝 Inquiry Management: Structured customer inquiry handling
- 📈 Revenue Analytics: Comprehensive revenue tracking and analysis
- 👥 Customer Analytics: Customer behavior and service patterns
- 🔧 Service Analytics: Popular services and performance metrics
- 📅 Operational Analytics: Staff productivity and system usage
The system uses Auth0 for authentication with custom JWT token processing:
// Auth0 Post-Login Action
exports.onExecutePostLogin = async (event, api) => {
const userEmail = event.user.email;
// Validates email verification
// Calls backend API to get staff roles
// Sets custom claims in JWT tokens
api.idToken.setCustomClaim('is_staff', true);
api.idToken.setCustomClaim('staff_roles', roles);
}
- 🔐 ADMIN: Full system access, user management, analytics
- 👨💼 MANAGER: Business operations, staff oversight, reporting
- 🔧 MECHANIC: Service operations, appointment management
- 📞 CUSTOMER_SUPPORT: Customer communication, inquiry management
- 📋 STAFF: Basic staff operations and customer interaction
- 🔐 JWT Token Validation: All protected endpoints require valid JWT
- 🔑 Custom Authorizers: Lambda authorizers for fine-grained access control
- 🔒 Role Validation: Function-level role checking for administrative operations
- 🚫 Request Filtering: Input validation and sanitization on all endpoints
The system uses 15 DynamoDB tables for comprehensive data management:
Table | Purpose | Key Structure |
---|---|---|
👥 Staff | Staff member management | userEmail (PK) |
👤 Users | Customer information | userId (PK) |
🔗 Connections | WebSocket connections | connectionId (PK) |
💬 Messages | Chat communication | messageId (PK) |
⏰ UnavailableSlots | Scheduling management | date (PK) |
📅 Appointments | Service appointments | appointmentId (PK) |
🔧 ServicePrices | Service pricing | serviceId (PK) |
📦 Orders | Product orders | orderId (PK) |
🔩 ItemPrices | Parts pricing | itemId (PK) |
❓ Inquiries | Customer inquiries | inquiryId (PK) |
💳 Payments | Payment records | paymentId (PK) |
🧾 Invoices | Invoice tracking | invoiceId (PK) |
Table | Purpose | Key Structure |
---|---|---|
🚫 EmailSuppression | Bounce/complaint tracking | email (PK) |
📊 EmailAnalytics | Email performance metrics | analyticsId (PK) |
📝 EmailMetadata | Email metadata storage | messageId (PK) |
Users (1:N) ────────► Appointments ────────► Payments ────────► Invoices
│ │
│ │
└─── (1:N) Orders ─────┘
│
│
└─── (N:1) ItemPrices
ServicePrices (N:1) ─────► Appointments
Staff (1:N) ─────────► Messages ────────► Users
Inquiries (N:1) ─────────► Users
GET /users # Get all users (staff only)
GET /check-user # Validate user existence
POST /update-user-info # Update user information
GET /appointments # Get appointments (filtered by role)
POST /appointments # Create new appointment
PATCH /appointments/{id} # Update appointment
GET /unavailable-slots # Get blocked time slots
POST /unavailable-slots # Update slot availability
GET /orders # Get orders (filtered by role)
POST /orders # Create new order
PATCH /orders/{id} # Update order
GET /prices # Get service/item pricing
POST /create-payment-intent # Stripe payment initialization
POST /confirm-stripe-payment # Stripe payment confirmation
POST /confirm-cash-payment # Manual payment confirmation
POST /webhook-stripe-payment # Stripe webhook handler
GET /invoices # Get invoice list
POST /invoices # Manual invoice generation
PATCH /invoices # Cancel/reactivate invoice
GET /messages # Get message history
POST /send-message # Send message
GET /connections # Get active connections (staff)
GET /last-messages # Get recent conversations
POST /send-email # Send custom email
GET /emails # Get email history
PATCH /emails/{id} # Update email status
GET /inquiries # Get customer inquiries
POST /inquiries # Create new inquiry
GET /analytics # Comprehensive business analytics
GET /get-staff-roles # Get staff role information (Auth0 integration)
POST /users/staff # Update staff roles (admin only)
GET /upload-url # Get S3 presigned URLs
POST /backup-restore # System backup/restore
POST /notify # Send notifications
The system features a comprehensive email notification system with multiple automation triggers:
- 📅 Appointment Created: Welcome email with appointment details
- 🔄 Appointment Updated: Status change notifications
- ✅ Appointment Completed: Service completion confirmation
Appointment scheduled confirmation email
Appointment completion notification email
- 💳 Payment Confirmed: Payment success with invoice attachment
- 📄 Invoice Generated: Automated invoice delivery
- 🚫 Payment Cancelled: Payment failure notifications
Payment confirmation with invoice attachment
- 📊 Inspection Report Ready: Report completion notifications
- 👨💼 Admin to Customer: Custom staff communications
Service report ready notification
Custom admin-to-customer communication
# Email sending with suppression checking
def send_email(to_email, subject, html_body, text_body=None, email_type=None):
# Check bounce/complaint suppression
if is_email_suppressed(to_email):
return False
# Send via SES
response = ses_client.send_email(
Source=NO_REPLY_EMAIL,
Destination={'ToAddresses': [to_email]},
Message={
'Subject': {'Data': subject},
'Body': {'Html': {'Data': html_body}}
}
)
- 📬 SQS Queue: Email notifications queued for async processing
- 🚫 Bounce Handling: Automatic suppression of bounced emails
- 📊 Analytics Tracking: Email open rates and delivery statistics
- 🔄 Retry Logic: Failed email retry with exponential backoff
- 🎨 HTML Templates: Rich HTML email designs
- 📱 Mobile Responsive: Optimized for all devices
- 🏷️ Dynamic Content: Personalized with customer/appointment data
- 📎 Attachment Support: PDF invoices and reports
graph TD
A[Customer Books Appointment] --> B[Validate Time Slot]
B --> C{Slot Available?}
C -->|No| D[Return Error]
C -->|Yes| F[Create Appointment Record]
F --> G[Queue Confirmation Email]
G --> H[Send WebSocket Notification]
H --> I[Return Success]
G --> J[SQS Email Queue]
J --> K[Process Email]
K --> L[Send Confirmation Email]
graph TD
A[Payment Initiated] --> B{Payment Method}
B -->|Stripe| C[Create Payment Intent]
B -->|Cash/Bank| D[Manual Payment Entry]
C --> E[Customer Pays via Stripe]
E --> F[Stripe Webhook]
F --> G[Update Payment Status]
D --> G
G --> H[Queue Invoice Generation]
H --> I[Generate PDF Invoice]
I --> J[Upload to S3/CloudFront]
J --> K[Send Invoice Email]
K --> L[Update Records]
graph TD
A[Mechanic Updates Status] --> B[Status: In Progress]
B --> C[Customer Notification]
C --> D[Work Completed]
D --> E[Status: Completed]
E --> F[Customer Notification]
graph TD
A[Staff Sends Message] --> B[Validate WebSocket Connection]
B --> C[Store Message in DB]
C --> D[Find Customer Connection]
D --> E{Customer Online?}
E -->|Yes| F[Send via WebSocket]
F --> H[Mark as Delivered]
- ⚡ AWS Lambda: 40+ serverless functions for business logic
- 🌐 API Gateway: RESTful API with custom domain support
- 🔌 WebSocket API: Real-time bidirectional communication
- 🔐 Lambda Authorizers: JWT-based API security
- 🗄️ DynamoDB: 15 NoSQL tables with auto-scaling
- 🗃️ S3 Buckets: File storage for reports and invoices
- 📡 CloudFront CDN: Global content delivery network
- 🗂️ S3 Versioning: File version control and backup
- 📮 SQS Queues: Async task processing (Email, Invoice, Firebase)
- 📧 Amazon SES: Transactional email delivery
- 🔔 Firebase Cloud Messaging: Push notifications (optional)
- 📊 CloudWatch Logs: Centralized logging and monitoring
- 🛡️ IAM Roles: Least-privilege access control
- 🌐 Route53: DNS management and health checks
- 🔒 ACM Certificates: SSL/TLS encryption
- 🔐 Secrets Manager: Secure credential storage
The entire infrastructure is defined in CloudFormation templates:
# Main Stack Architecture
Resources:
# API Gateway with custom domains
RestApi:
Type: AWS::ApiGateway::RestApi
# Lambda functions with proper IAM roles
LambdaStack:
Type: AWS::CloudFormation::Stack
Properties:
TemplateURL: lambda-functions.yaml
# DynamoDB tables with backup enabled
DatabaseStack:
Type: AWS::CloudFormation::Stack
Properties:
TemplateURL: dynamodb-tables.yaml
# S3 and CloudFront distribution
StorageStack:
Type: AWS::CloudFormation::Stack
Properties:
TemplateURL: s3-cloudfront.yaml
- 🏗️ main-stack.yaml: Root infrastructure orchestration
- ⚡ lambda-functions.yaml: All Lambda function definitions
- 🌐 api-gateway.yaml: API Gateway and routing configuration
- 🗄️ dynamodb-tables.yaml: Database table definitions
- 🗃️ s3-cloudfront.yaml: Storage and CDN configuration
- 📬 notification-queue.yaml: SQS queue configurations
- 📧 ses-email-storage.yaml: Email infrastructure
- 🔙 backup-system.yaml: Automated backup system
# .github/workflows/deploy-dev.yml
name: Deploy Development
on:
push:
branches: [dev]
jobs:
deploy:
runs-on: ubuntu-latest
environment: development
steps:
- name: Deploy Infrastructure
run: ./deploy.sh development
- name: Update Lambda Functions
run: ./update-lambdas.sh --env dev --all
- name: Validate Deployment
run: ./validate-deployment.sh development
# .github/workflows/deploy-prod.yml
name: Deploy Production
on:
push:
branches: [main]
jobs:
deploy:
runs-on: ubuntu-latest
environment: production
steps:
- name: Validate Templates
run: aws cloudformation validate-template
- name: Deploy with Approval
run: ./deploy.sh production
# .github/workflows/update-lambdas.yml
name: Update Lambda Functions
on:
workflow_dispatch:
inputs:
environment:
required: true
type: choice
options: [development, production]
functions:
required: false
description: 'Comma-separated function names'
jobs:
update:
steps:
- name: Update Functions
run: ./update-lambdas.sh --env ${{ inputs.environment }}
# config/environments.sh
get_env_config() {
case $env in
development)
export ENVIRONMENT="development"
export FRONTEND_DOMAIN="dev.autolabsolutions.com"
export API_DOMAIN="api-dev.autolabsolutions.com"
;;
production)
export ENVIRONMENT="production"
export FRONTEND_DOMAIN="autolabsolutions.com"
export API_DOMAIN="api.autolabsolutions.com"
;;
esac
}
- 🚀 deploy.sh: Complete infrastructure deployment
- ⚡ update-lambdas.sh: Lambda function updates
- ✅ validate-deployment.sh: Post-deployment validation
- 🧪 validate-cicd.sh: CI/CD configuration validation
The system implements comprehensive real-time communication using AWS WebSocket API:
# WebSocket connection handlers
def handle_connect(event, context):
connection_id = event['requestContext']['connectionId']
# Store connection in DynamoDB
db.create_connection(connection_id)
def handle_disconnect(event, context):
connection_id = event['requestContext']['connectionId']
# Clean up connection and user associations
db.delete_connection(connection_id)
# User/Staff initialization on WebSocket
def handle_init(event, context):
connection_id = event['requestContext']['connectionId']
body = json.loads(event.get('body', '{}'))
if body.get('userType') == 'staff':
# Associate staff member with connection
staff_email = body.get('staffEmail')
db.associate_staff_connection(connection_id, staff_email)
else:
# Associate customer with connection
user_id = body.get('userId')
db.associate_user_connection(connection_id, user_id)
# Real-time message delivery
def send_message_to_connection(connection_id, message):
try:
apigateway_client.post_to_connection(
ConnectionId=connection_id,
Data=json.dumps(message)
)
except ClientError:
# Connection is stale, remove from database
db.delete_connection(connection_id)
graph TD
A[Staff Sends Message] --> B[WebSocket API Gateway]
B --> C[ws-send-message Lambda]
C --> D[Validate & Store Message]
D --> E[Find Customer Connection]
E --> F{Customer Online?}
F -->|Yes| G[Send via WebSocket]
G --> H[Update Message Status]
- 💓 Ping/Pong: Keep-alive connection monitoring
- 🧹 Cleanup: Automatic stale connection removal
- 📊 Analytics: Connection duration and usage statistics
- 🔔 Notifications: Real-time status updates for staff
The system supports comprehensive payment processing through Stripe:
# Create payment intent
def create_payment_intent(amount, customer_email, metadata):
intent = stripe.PaymentIntent.create(
amount=int(amount * 100), # Convert to cents
currency='aud',
customer_email=customer_email,
metadata=metadata,
automatic_payment_methods={'enabled': True}
)
return intent
# Stripe webhook handler
def handle_payment_succeeded(payment_intent):
# Update payment record
db.update_payment_status(payment_intent['id'], 'paid')
# Update appointment/order
reference_number = payment_intent['metadata']['reference_number']
db.update_record_payment_status(reference_number, 'paid')
# Queue invoice generation
invoice_manager.queue_invoice_generation(record, record_type, payment_intent['id'])
- 💳 Credit/Debit Cards: Stripe secure payment processing
- 💵 Cash Payments: Manual cash payment confirmation
- 🏦 Bank Transfers: Bank transfer payment tracking
# Automated invoice generation
def generate_invoice_pdf(record_data, record_type, payment_intent_id):
# Create PDF using ReportLab
pdf_content = create_invoice_pdf(record_data)
# Upload to S3 with CloudFront distribution
s3_key = f"invoices/{record_type}/{payment_intent_id}.pdf"
s3_client.put_object(Bucket=REPORTS_BUCKET, Key=s3_key, Body=pdf_content)
# Generate public URL
invoice_url = f"https://{CLOUDFRONT_DOMAIN}/{s3_key}"
# Send email with invoice attachment
email_manager.send_payment_confirmation_email(
customer_email, customer_name, record_data, invoice_url
)
- 📊 Revenue Tracking: Daily, weekly, monthly revenue analysis
- 💳 Payment Method Analytics: Popular payment methods
- 📈 Conversion Rates: Payment success/failure analysis
- 🔄 Transaction History: Complete payment audit trail
The system provides detailed analytics across all business operations:
# Revenue analysis with time-based filtering
def get_revenue_analytics(start_date, end_date):
return {
'total_revenue': calculate_total_revenue(start_date, end_date),
'revenue_by_service': get_service_revenue_breakdown(),
'revenue_by_payment_method': get_payment_method_breakdown(),
'monthly_trends': get_monthly_revenue_trends(),
'daily_averages': get_daily_revenue_averages()
}
- 👤 Customer Acquisition: New customer registration trends
- 🔄 Retention Rates: Customer return frequency analysis
- 💰 Customer Lifetime Value: Revenue per customer analysis
- 🚗 Vehicle Analytics: Popular vehicle makes and models
- 📅 Booking Patterns: Preferred appointment times and days
def get_service_analytics():
return {
'popular_services': get_most_requested_services(),
'service_completion_rates': get_completion_rates(),
'average_service_duration': get_service_durations(),
'service_revenue_contribution': get_service_revenue_breakdown()
}
- ⏱️ Response Times: Average API response times
- 📧 Email Performance: Delivery rates and open rates
- 💬 Communication Metrics: Message volume and response times
- 🔄 System Usage: Feature utilization and user behavior
- 🎯 Quick Metrics: Last 30 days performance summary
- 📈 Trend Analysis: Growth trends and patterns
- 🎯 KPI Monitoring: Key performance indicators
- 🔔 Alert System: Threshold-based business alerts
- 🔒 Token Validation: Comprehensive JWT signature verification using Auth0 JWKS
- ⏰ Token Expiry: Automatic token expiration handled by JWT built-in mechanism
- � Token Claims: Custom claims for staff roles and authentication status
# Staff authorization with role checking
def validate_staff_authentication(event, required_roles=None):
# Extract JWT token from Authorization header
auth_header = event['headers'].get('authorization', '')
token = extract_jwt_token(auth_header)
# Validate token and extract claims
claims = validate_jwt_token(token)
staff_roles = claims.get('staff_roles', [])
# Check required roles
if required_roles and not any(role in staff_roles for role in required_roles):
raise UnauthorizedError("Insufficient permissions")
return {
'staff_user_email': claims['email'],
'staff_roles': staff_roles,
'authenticated': True
}
- 🔐 Data at Rest: DynamoDB encryption enabled
- 🔒 Data in Transit: HTTPS/TLS for all communications
- 🔑 S3 Encryption: Server-side encryption for file storage
- 🗝️ Secrets Management: AWS Secrets Manager for sensitive data
# Comprehensive input validation
class DataValidator:
@staticmethod
def validate_email(email, field_name="email"):
email_pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
if not re.match(email_pattern, email):
raise ValidationError(f"{field_name} must be a valid email address")
return True
@staticmethod
def validate_phone_number(phone, field_name="phone"):
clean_phone = re.sub(r'[\s\-\(\)]', '', phone)
phone_pattern = r'^(\+\d{1,3})?\d{7,15}$'
if not re.match(phone_pattern, clean_phone):
raise ValidationError(f"{field_name} must be a valid phone number")
return True
# Email suppression management
def handle_ses_bounce(event):
bounce_data = json.loads(event['Records'][0]['Sns']['Message'])
for recipient in bounce_data['bounce']['bouncedRecipients']:
email_address = recipient['emailAddress']
bounce_type = bounce_data['bounce']['bounceType']
# Add to suppression list for permanent bounces
if bounce_type == 'Permanent':
add_to_suppression_list(email_address, 'bounce')
- 🔑 API Key Validation: Shared secret for internal API calls
- 🛡️ CORS Configuration: Proper cross-origin resource sharing
- ⚡ Rate Limiting: Request throttling and abuse prevention
# AWS CLI configuration
aws configure set region ap-southeast-2
aws configure set output json
# Required software
- AWS CLI (latest)
- Python 3.13+
- Node.js 18+
- Git
# Required secrets (set in GitHub Environments)
export STRIPE_SECRET_KEY="sk_..."
export STRIPE_WEBHOOK_SECRET="whsec_..."
export AUTH0_DOMAIN="your-domain.auth0.com"
export AWS_ACCOUNT_ID="123456789012"
# Optional Firebase configuration
export FIREBASE_PROJECT_ID="your-project-id"
export FIREBASE_SERVICE_ACCOUNT_KEY="base64-encoded-key"
# Clone repository
git clone https://github.com/Auto-Lab-Solutions/Web-Backend.git
cd Web-Backend
# Make scripts executable
chmod +x *.sh
# Deploy to development
./deploy.sh development
# Deploy to production (requires approval)
./deploy.sh production --skip-confirmation
# Update all Lambda functions
./update-lambdas.sh --env development --all
# Update specific functions
./update-lambdas.sh --env production api-get-appointments api-create-appointment
# Validate deployment health
./validate-deployment.sh development
# Check SES email configuration
./check-ses-status.sh development
# Run comprehensive system validation
./validate-cicd.sh
# Development configuration
ENVIRONMENT="development"
FRONTEND_DOMAIN="dev.autolabsolutions.com"
API_DOMAIN="api-dev.autolabsolutions.com"
REPORTS_DOMAIN="reports-dev.autolabsolutions.com"
ENABLE_BACKUP_SYSTEM="false" # Simplified for development
# Production configuration
ENVIRONMENT="production"
FRONTEND_DOMAIN="autolabsolutions.com"
API_DOMAIN="api.autolabsolutions.com"
REPORTS_DOMAIN="reports.autolabsolutions.com"
ENABLE_BACKUP_SYSTEM="true" # Full backup enabled
# Database backup and cleanup
./backup-restore.sh backup --env production
# Route53 DNS cleanup
./cleanup-route53-records.sh
# System status monitoring
./dev-tools.sh --env production status
# Validate full deployment
./validate-deployment.sh production
# Validate CloudFormation templates
aws cloudformation validate-template --template-body file://infrastructure/main-stack.yaml
# Python syntax validation
find lambda -name "*.py" -exec python -m py_compile {} \;
# Environment configuration validation
./validate-cicd.sh
# API endpoint testing
./dev-tools.sh --env development test api-get-prices
./dev-tools.sh --env development test api-get-appointments
# Email system testing
./validate-ses.sh development
# System status check
./dev-tools.sh --env development status
# Check deployment status - all resources
./dev-tools.sh --env production status
# Validate deployment completeness
./validate-deployment.sh production
# Check SES email configuration
./check-ses-status.sh production
# Validate CI/CD configuration
./validate-cicd.sh
- ⚡ 99.9% Uptime: High availability through serverless architecture
- 🚀 <200ms Response Time: Fast API response times
- 📈 Auto-scaling: Handles traffic spikes automatically
- 💰 Cost Optimization: Pay-per-use serverless model
- 📱 Real-time Updates: Instant staff-customer communication
- 📧 Automated Notifications: Comprehensive email automation
- 💳 Seamless Payments: Multiple payment option support
- 📊 Business Intelligence: Comprehensive analytics and reporting
- 🛡️ Enterprise Security: Multi-layer security implementation
- 🔙 Automated Backups: Regular data backup and recovery
- 📧 Email Deliverability: High email delivery success rates
- 🔄 Data Consistency: ACID transaction support
- 🔄 Fork & Clone: Fork repository and clone locally
- 🌿 Branch: Create feature branch from
dev
- ✅ Test: Run validation scripts before committing
- 📤 Pull Request: Submit PR to
dev
branch - 🔍 Review: Code review and automated testing
- 🚀 Deploy: Automatic deployment to development environment
- 🐍 Python: Follow PEP 8 style guidelines
- 📝 Documentation: Comprehensive docstrings and comments
- 🧪 Testing: Unit tests for business logic functions
- 🔒 Security: Input validation and error handling
This project is open source and available under the MIT License.