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>
45 lines
390 B
Plaintext
45 lines
390 B
Plaintext
# Git
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.git
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.gitignore
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# Documentation
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*.md
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docs/
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# Development files
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.env
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.env.local
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.env.development
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.env.test
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docker-compose.yml
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docker-compose.*.yml
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# Build artifacts
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whoosh
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*.exe
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*.dll
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*.so
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*.dylib
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# Test files
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*_test.go
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testdata/
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# IDE files
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# Logs
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*.log
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# OS generated files
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.DS_Store
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.DS_Store?
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._*
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.Spotlight-V100
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.Trashes
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ehthumbs.db
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Thumbs.db |