b6078cf534
Generate a professional 22-page A4 PDF covering the full ModComms system architecture including: system overview, multi-agent AI pipeline, WebSocket analysis flow, database schema (15 tables), frontend component hierarchy, Azure AD authentication & RBAC, knowledge base processing pipeline, deployment architecture, REST API reference, and appendices. Includes 8 Mermaid diagrams rendered to high-res PNGs, styled tables, and consistent Barclays design tokens throughout. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
49 lines
1.3 KiB
Text
49 lines
1.3 KiB
Text
graph TB
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subgraph "Client Tier"
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SPA["React SPA<br/>(Vite + TypeScript)"]
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end
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subgraph "Application Tier"
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API["FastAPI Backend<br/>(Python 3.11+)"]
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WS["WebSocket Server<br/>(/ws/analyze)"]
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REST["REST API<br/>(/api/*)"]
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end
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subgraph "AI Services"
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GEMINI["Google Gemini<br/>2.5 Flash"]
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LLAMA["LlamaParse<br/>(Document Parsing)"]
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end
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subgraph "Authentication"
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AZURE["Azure AD<br/>(MSAL)"]
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end
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subgraph "Data Tier"
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PG["PostgreSQL<br/>(asyncpg)"]
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FS["File Storage<br/>(Local Disk)"]
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end
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SPA -->|"HTTPS"| REST
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SPA -->|"WSS"| WS
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SPA -->|"MSAL Auth"| AZURE
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API --- WS
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API --- REST
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REST -->|"SQLAlchemy Async"| PG
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WS -->|"SQLAlchemy Async"| PG
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REST -->|"Read/Write"| FS
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WS -->|"Store Files"| FS
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API -->|"Gemini API"| GEMINI
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API -->|"Parse PDFs"| LLAMA
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AZURE -.->|"JWT Verify"| API
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classDef client fill:#006DE3,stroke:#1A2142,color:#fff
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classDef app fill:#1A2142,stroke:#006DE3,color:#fff
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classDef ai fill:#01A1A2,stroke:#1A2142,color:#fff
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classDef auth fill:#7A0FF9,stroke:#1A2142,color:#fff
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classDef data fill:#C3FB5A,stroke:#1A2142,color:#1A2142
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class SPA client
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class API,WS,REST app
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class GEMINI,LLAMA ai
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class AZURE auth
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class PG,FS data
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