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FusionAGI/migrations
Devin AI 94ee9a2ee5
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feat: implement 15 production items (SSE, security, observability, features, infra)
Performance:
- SSE dashboard streaming endpoint (GET /v1/admin/status/stream)
- Web Worker for markdown rendering (offload from main thread)
- IndexedDB chat persistence (replace localStorage, 500msg support)

Security:
- CSRF protection middleware (Origin/Referer validation)
- Content Security Policy + security headers middleware
- API key rotation endpoint (POST /v1/admin/keys/rotate)

Observability:
- OpenTelemetry tracing with graceful NoOp fallback
- Structured error codes (FAGI-xxxx taxonomy with ErrorResponse schema)
- Audit log export (CSV + JSON at /v1/admin/audit/export/*)

Features:
- Multi-session management hook (parallel conversations)
- Conversation export (markdown/JSON/text download + clipboard)
- Head customization UI (enable/disable + weight sliders for 12 heads)

Infrastructure:
- Kubernetes Helm chart (Deployment, Service, HPA, Ingress)
- Database migration versioning (generate, verify commands)
- Blue-green deployment manifests (color-based traffic switching)

Tests: 598 Python + 56 frontend = 654 total, 0 ruff errors
Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
2026-05-02 04:17:21 +00:00
..

Database Migrations

FusionAGI uses a lightweight migration system for schema changes.

Structure

migrations/
├── README.md
├── versions/
│   └── 001_initial_schema.sql
└── migrate.py

Usage

# Run all pending migrations
python -m migrations.migrate up

# Rollback the last migration
python -m migrations.migrate down

# Show migration status
python -m migrations.migrate status

Creating a Migration

  1. Create a new SQL file in migrations/versions/:

    NNN_description.sql
    
  2. Include both -- UP and -- DOWN sections:

    -- UP
    CREATE TABLE example (...);
    
    -- DOWN
    DROP TABLE IF EXISTS example;
    

Notes

  • Migrations run in numeric order (001, 002, etc.)
  • Each migration is tracked in a _migrations table
  • For production, consider using Alembic with SQLAlchemy