8d89fe80ff
- Archive: 85 agent .txt files → docs/archive/agents/legacy_txt/ - Scripts: Move 110 shell scripts → scripts/ (keep deploy.sh in root) - Models: Move 18 .safetensors → ml/models/checkpoints/training_artifacts/ - Delete: 34 directories (~33GB freed) - target/, coverage_*, test artifacts - Build: Clean 14 build artifacts (.rlib, .o, .pid, binaries) - Tests: Move 14 .rs files → tests/standalone/ - SQL: Move 5 files → sql/ (keep init-db*.sql for Docker) - Wave 153: Archive to docs/archive/historical/wave153/ - Docs: Archive 9 markdown files to wave_d/reports/ and historical/ Total impact: ~34GB freed (both waves), root directory cleaned from 583 to ~40 essential files Directory count reduced from 65 to 31 (52% reduction) All historical data preserved in organized archive structure
12 lines
216 B
INI
12 lines
216 B
INI
[v3_req]
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subjectAltName = @alt_names
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[alt_names]
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DNS.1 = foxhunt-services
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DNS.2 = api_gateway
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DNS.3 = backtesting_service
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DNS.4 = ml_training_service
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DNS.5 = trading_agent_service
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DNS.6 = localhost
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IP.1 = 127.0.0.1
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