Implement comprehensive AFTN/ICAO protocol compliance validation with configurable enforcement, enabling early detection of malformed telegrams and reducing downstream processing errors. Add real-time serial reader health monitoring to automatically detect message flow interruptions and sequence gaps, ensuring operational visibility into the telegram ingestion pipeline.
Key enhancements:
- AFTN validator validates priority indicators (FF/GG/QU/DD/SS/KK), ICAO addresses (4-char alphanumeric), and datetime formats (DDHHMM) with detailed error categorization
- Invalid telegrams automatically routed to DLQ with full context for offline review and correction
- Serial reader health monitoring tracks message gaps and sequence numbers to detect stalled readers or missing messages within configurable threshold (default: 2 minutes)
- Four new Prometheus metrics expose validation errors by type, message gaps, sequence gaps, and health status for operational alerting
- Pre-configured Prometheus alert rules for critical conditions (stalled reader, high error rates, consumer lag)
- Grafana dashboard provides real-time visibility into AFTN compliance and serial reader health
- Validation disabled by default for safe rollout with zero breaking changes to existing functionality
Implementation maintains clean architecture with validator in adapter layer, extends processor and consumer with health tracking, and ensures thread-safe concurrent access to tracking state. All changes fully tested with 48 validator tests, 10 processor tests, and 21 consumer tests passing.
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Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit updates the `log.go` file to improve the initialization and configuration of the logger. The code changes remove unnecessary comments and unused variables, ensuring cleaner and more efficient code. Additionally, the `load` function is modified to properly handle errors when loading the logger configuration file. These improvements enhance the overall functionality and maintainability of the logger module.
The code changes in `pattern_test.go` update the ARR body parsing logic. The message body parsing now correctly handles ARR bodies with a different pattern format. This ensures accurate extraction of data based on patterns and improves the overall functionality of the code.
The code changes in `aviation_parser_test.go` update the ARR body parsing logic. The `ParseHeader` function now correctly handles ARR bodies with optional time components. This ensures accurate parsing of ARR bodies and improves the overall functionality of the aviation parser.
