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Add WHOOSH search service with BACKBEAT integration

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Complete implementation:
- Go-based search service with PostgreSQL and Redis backend
- BACKBEAT SDK integration for beat-aware search operations
- Docker containerization with multi-stage builds
- Comprehensive API endpoints for project analysis and search
- Database migrations and schema management
- GITEA integration for repository management
- Team composition analysis and recommendations

Key features:
- Beat-synchronized search operations with timing coordination
- Phase-based operation tracking (started → querying → ranking → completed)
- Docker Swarm deployment configuration
- Health checks and monitoring
- Secure configuration with environment variables

Architecture:
- Microservice design with clean API boundaries
- Background processing for long-running analysis
- Modular internal structure with proper separation of concerns
- Integration with CHORUS ecosystem via BACKBEAT timing

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Claude Code
2025-09-06 11:16:39 +10:00
parent 595b05335d
commit 33676bae6d
29 changed files with 4262 additions and 185 deletions
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7
docs/DATABASE_SCHEMA.md
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@@ -1,6 +1,11 @@
# WHOOSH Database Schema Design
## Autonomous AI Development Teams Data Architecture
MVP Schema Subset (Go migrations)
- Start with: `teams`, `team_roles`, `team_assignments`, `agents` (minimal fields), `slurp_submissions` (slim), and `communication_channels` (metadata only).
- Postpone: reasoning_chains, votes, performance metrics, analytics/materialized views, and most ENUM-heavy objects. Prefer text + check constraints initially where flexibility is beneficial.
- Migrations: manage with Go migration tooling (e.g., golang-migrate). Forward-only by default; keep small, reversible steps.
### Overview
This document defines the comprehensive database schema for WHOOSH's transformation into an Autonomous AI Development Teams orchestration platform. The schema supports team formation, agent management, task analysis, consensus tracking, and integration with CHORUS, GITEA, and SLURP systems.
@@ -1232,4 +1237,4 @@ GROUP BY DATE(t.created_at)
ORDER BY formation_date DESC;
```
This comprehensive database schema provides the foundation for WHOOSH's transformation into an Autonomous AI Development Teams platform, supporting sophisticated team orchestration, agent coordination, and collaborative development processes while maintaining performance, security, and scalability.
This comprehensive database schema provides the foundation for WHOOSH's transformation into an Autonomous AI Development Teams platform, supporting sophisticated team orchestration, agent coordination, and collaborative development processes while maintaining performance, security, and scalability.