Double-Write Message Processing Architecture - 400,000 GURU

[evahteev]

Description

Implement a unified double-write architecture where all messages (user and assistant) are simultaneously indexed to Elasticsearch and sent to Camunda for BPMN workflow execution. This enables both fast text search and complex workflow processing while maintaining data consistency.

Key Features:

• Unified message processing (ES + Camunda)
• Consistent document ID format across systems
• Enhanced context with full thread configuration
• Fault tolerance with graceful degradation
• Parallel processing for minimal latency

Impact:

• 100% message coverage in both systems
• <200ms latency for double-write operations
• 99.9% reliability across both systems
• Zero data loss with fallback mechanisms

Reward

🎉 400,000 GURU tokens ($194.36 USD at $0.0004859/GURU)

Getting Started

1. Review the FRD: bot/docs/feature/double-write-message-processing.md
2. Check code review fixes: bot/docs/feature/double-write-code-review-fixes.md
3. Explore Elasticsearch integration: Search for ES client usage
4. Review Camunda integration: camunda_client/
5. Check next steps: bot/docs/feature/double-write-next-steps.md

Implementation Phases

Phase 1: Document ID Standardization (100,000 GURU)

• Implement consistent ID format (group/dm patterns)
• UUID format without hyphens
• Cross-system ID correlation

Phase 2: Double-Write Infrastructure (200,000 GURU)

• Parallel ES + Camunda writes
• Error handling and retry logic
• Fallback mechanisms

Phase 3: Enhanced Context & Testing (100,000 GURU)

• Thread configuration in metadata
• Comprehensive testing
• Performance optimization

Acceptance Criteria

• All user and assistant messages indexed to ES
• All messages sent to Camunda for workflow processing
• Document IDs consistent across systems
• <200ms latency for double-write
• 99.9% reliability
• Graceful degradation if one system fails