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>
63 lines
2.3 KiB
Text
63 lines
2.3 KiB
Text
sequenceDiagram
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participant C as React Client
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participant WS as WebSocket Server
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participant AUTH as Auth Service
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participant DB as PostgreSQL
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participant AS as Analysis Service
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participant A1 as Legal Agent
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participant A2 as Brand Agent
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participant A3 as Channel BP Agent
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participant A4 as Channel TS Agent
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participant LA as Lead Agent
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participant GEM as Gemini API
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C->>WS: Connect /ws/analyze
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WS-->>C: Connection established
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C->>WS: {"type":"analyze", "file_data":"base64...", "access_token":"jwt..."}
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WS->>AUTH: verify_access_token(jwt)
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AUTH-->>WS: claims {oid, name, role}
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WS->>DB: Fetch previous version analysis
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DB-->>WS: previous_analysis (if revision)
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par Parallel Agent Execution
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WS-->>C: {"type":"agent_started", "agent_name":"Legal Agent"}
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AS->>A1: analyze(images, prev_review)
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A1->>GEM: Gemini API call
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GEM-->>A1: Response
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A1-->>AS: SubReview
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WS-->>C: {"type":"agent_completed", "agent_name":"Legal Agent", "review":{...}}
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and
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WS-->>C: {"type":"agent_started", "agent_name":"Brand Agent"}
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AS->>A2: analyze(images, prev_review, brand)
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A2->>GEM: Gemini API call
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GEM-->>A2: Response
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A2-->>AS: SubReview
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WS-->>C: {"type":"agent_completed", "agent_name":"Brand Agent", "review":{...}}
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and
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WS-->>C: {"type":"agent_started", "agent_name":"Channel BP Agent"}
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AS->>A3: analyze(images, prev_review)
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A3->>GEM: Gemini API call
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GEM-->>A3: Response
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A3-->>AS: SubReview
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WS-->>C: {"type":"agent_completed", "agent_name":"Channel BP Agent", "review":{...}}
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and
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WS-->>C: {"type":"agent_started", "agent_name":"Channel TS Agent"}
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AS->>A4: analyze(images, prev_review)
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A4->>GEM: Gemini API call
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GEM-->>A4: Response
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A4-->>AS: SubReview
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WS-->>C: {"type":"agent_completed", "agent_name":"Channel TS Agent", "review":{...}}
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end
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AS->>LA: synthesize(all_reviews)
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LA->>GEM: Gemini API call
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GEM-->>LA: Summary + RAG status
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LA-->>AS: overall_status, summary
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AS->>DB: Persist proof + version + agent_review
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AS->>DB: Store file to disk
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WS-->>C: {"type":"complete", "result":{...}, "proof_id":"uuid", "version_id":"uuid"}
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