VerizonDataProcessor Microservice
Overview
The VerizonDataProcessor microservice is designed to handle data processing operations specific to Verizon-related business logic within the Publisher platform. This service is currently in development or planning phase, as indicated by the repository containing only template files.
Business Purpose
Based on the service name, this microservice is intended to: - Process data specific to Verizon business operations - Handle Verizon-related data transformations and validations - Integrate with Verizon APIs or data feeds - Support Verizon-specific business logic within the Publisher ecosystem
Current Status
⚠️ Development Status: This service appears to be in early development or planning phase.
- Repository State: Contains only template README file
- Implementation: No source code currently available
- Deployment: Not yet implemented
Planned Architecture
Service Type (Anticipated)
- Deployment: Kubernetes containerized microservice
- Trigger: HTTP-triggered Azure Function (expected pattern)
- Runtime: Node.js (following platform standards)
- Integration: Verizon-specific APIs and data sources
Expected Components
Based on similar services in the Publisher platform:
- Handler: Main request processor for Verizon data operations
- Data Processors: Verizon-specific data transformation logic
- Integration Layer: Verizon API connectivity and authentication
- Validation Engine: Verizon data format and business rule validation
Anticipated Data Flow
graph TD
A[HTTP Request] --> B[Authentication]
B --> C[Request Validation]
C --> D[Verizon API Integration]
D --> E[Data Processing]
E --> F[Business Logic Application]
F --> G[Data Transformation]
G --> H[Response Generation]
H --> I[Event Publishing]
Expected Dependencies
External Services (Anticipated)
- Verizon APIs: External Verizon service integrations
- Azure Cosmos DB: Data storage following platform patterns
- Azure Event Hub: Event publishing for downstream processing
- Application Insights: Logging and monitoring
NPM Dependencies (Expected)
@azure/cosmos: Database connectivityaxios: HTTP client for API callsasync: Asynchronous flow controllodash: Utility functions- Standard Publisher platform dependencies
Configuration (Planned)
Environment-Specific Configs
config.js: Development configurationconfig.int.js: Integration environmentconfig.prod.js: Production environment
Expected Configuration Parameters
- Verizon API Credentials: Authentication tokens and endpoints
- Database Connections: Cosmos DB connection strings
- Event Hub: Publishing configuration
- Business Rules: Verizon-specific processing parameters
API Endpoints (Planned)
POST /
Expected to process Verizon-related data requests.
Request Body (Anticipated):
{
"action": "process_verizon_data",
"data": {
"verizon_specific_fields": "values"
},
"metadata": {
"source": "system_identifier",
"timestamp": "2024-01-01T00:00:00Z"
}
}
Response (Expected):
{
"status": "success",
"processed_data": {
"transformed_fields": "processed_values"
},
"metadata": {
"processing_time": "2024-01-01T00:00:01Z",
"record_id": "unique_identifier"
}
}
Development Roadmap
Phase 1: Foundation
- [ ] Set up basic project structure
- [ ] Implement core handler framework
- [ ] Configure development environment
- [ ] Establish testing framework
Phase 2: Integration
- [ ] Implement Verizon API connectivity
- [ ] Develop authentication mechanisms
- [ ] Create data validation logic
- [ ] Build error handling framework
Phase 3: Processing Logic
- [ ] Implement Verizon-specific business rules
- [ ] Develop data transformation pipelines
- [ ] Create response formatting logic
- [ ] Add comprehensive logging
Phase 4: Deployment
- [ ] Configure Kubernetes deployment
- [ ] Set up monitoring and alerting
- [ ] Implement health checks
- [ ] Deploy to integration environment
Expected Integration Points
Upstream Services
- Services that generate Verizon-related data
- Campaign management systems
- Lead processing pipelines
Downstream Services
- Data warehousing systems
- Reporting services
- Analytics platforms
- Audit and compliance systems
Security Considerations (Planned)
Data Protection
- Encryption of sensitive Verizon data
- Secure API credential management
- Compliance with data privacy regulations
- Audit trail for all data processing
Access Control
- Authentication for API access
- Authorization based on data sensitivity
- Rate limiting for external API calls
- Monitoring for suspicious activity
Monitoring and Logging (Planned)
Application Insights
- Request/response tracking
- Performance monitoring
- Error tracking and alerting
- Custom metrics for Verizon-specific operations
Custom Logging
- Data processing audit trails
- API call success/failure rates
- Business rule validation results
- Performance metrics
Development Guidelines
Getting Started
- Clone the repository
- Set up development environment
- Install dependencies (when available)
- Configure local settings
- Run tests (when implemented)
Coding Standards
- Follow Publisher platform conventions
- Implement comprehensive error handling
- Add detailed logging for debugging
- Write unit tests for all components
- Document API endpoints and data models
Related Services
Expected integration with: - DocumentCRUD: Data persistence operations - EventCounter: Processing metrics - ReportGenerator: Verizon-specific reporting - AuditHandler: Compliance and audit logging
Next Steps
Immediate Actions Required
- Requirements Gathering: Define specific Verizon data processing requirements
- Architecture Design: Create detailed technical specifications
- API Design: Define input/output formats and endpoints
- Development Planning: Create sprint backlog and timeline
Technical Decisions Needed
- Specific Verizon APIs to integrate with
- Data processing requirements and business rules
- Performance and scalability requirements
- Security and compliance requirements
Contact Information
For questions about this service development: - Check with the Publisher platform team - Review Verizon integration requirements - Consult existing similar services for patterns
Note: This documentation is based on the service name and repository structure. Actual implementation details will be updated as development progresses.