Notes

1. Environment and Prerequisites Setup
Install Java (version 11 or 17) and set JAVA_HOME on all development/test servers
Resolve OCI authentication and authorization issues for accessing required compartments
Configure proper networking for Oracle DB connectivity (fix DNS resolution issues)
2. Data Processing Pipeline Setup
Fix syntax errors in oci_spark_precompute.py
Run local tests for the precompute script using sample mode
Upload Oracle JDBC driver to OCI Object Storage for Spark access
Set up and validate OCI Data Flow application with proper compute resources (8 executors with 4 OCPUs each)
Run test job with sample mode (single SP_ID) to validate end-to-end processing
Validate data quality and format of generated Parquet files
Scale up to full universe processing once sample mode succeeds
3. Backend Completion
Ensure backend can properly access OCI Object Storage for all data types
Verify all database fallback mechanisms work correctly when OCI data is unavailable
Fix parameter mismatch issues (sp_id vs prem_id) in all SQL queries
Implement robust error handling and timeout management for all API endpoints
Complete empty state handling for all endpoints to return friendly messages when no data is available
Optimize backend caching mechanisms for maximum performance
4. Frontend Optimization
Complete frontend chart component migration from Recharts to ECharts
Finalize memoization implementation across all components
Fix remaining React Router parameter extraction issues
Complete shared AbortController implementation for API requests
Polish empty state handling in all visualizations and tables
Optimize ECharts configuration for maximum performance
5. Integration and Testing
Perform end-to-end testing with precomputed data from OCI
Validate backend API performance with precomputed data vs direct database queries
Complete frontend performance profiling using the HTML test harness
Document performance improvements achieved for each page
Test all fallback scenarios and edge cases
6. Deployment Preparation
Create deployment scripts for both backend and frontend components
Document environment variables and configuration requirements
Set up automated OCI Data Flow job scheduling (twice daily)
Prepare monitoring and logging setup for production environment
7. Deployment and Validation
Deploy backend components to production environment
Deploy frontend components to production environment
Validate OCI Data Flow job execution in production
Perform final user acceptance testing (UAT)
Document final performance metrics and improvements
8. Post-Deployment
Implement monitoring for data processing jobs
Set up alerts for failed jobs or missing data
Create documentation for ongoing maintenance and troubleshooting