Spaces:
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| """ | |
| Shared UI terminology — maps graph node names and technical labels to | |
| judge-friendly language. Import from any component. | |
| """ | |
| # --------------------------------------------------------------------------- | |
| # Domain name → display name | |
| # --------------------------------------------------------------------------- | |
| _DOMAIN_OVERRIDES: dict[str, str] = { | |
| "Manage Generic Core": "Enterprise Architecture Core", | |
| "Manage Digital Intelligence": "Digital Intelligence & Data", | |
| "Manage Digital IT": "Technology Operations", | |
| "Manage Digital Inter-Operability & Automation": "Integration & Automation", | |
| "Manage Digital Experience Orchestration": "Customer Experience", | |
| "Manage Digital Service Orchestration": "Service Delivery", | |
| "Manage MarCom Orchestration": "Marketing & Communications", | |
| "Manage Digital Backoffice": "Business Operations", | |
| "Manage Digital GPRC": "Governance, Risk & Compliance", | |
| "Manage Digital Workspace": "Workforce & Collaboration", | |
| "Manage Digital Security": "Cybersecurity & Trust", | |
| } | |
| def domain_label(graph_name: str) -> str: | |
| """Return a human-friendly domain name for display.""" | |
| if not graph_name: | |
| return graph_name | |
| if graph_name in _DOMAIN_OVERRIDES: | |
| return _DOMAIN_OVERRIDES[graph_name] | |
| label = graph_name | |
| label = label.removeprefix("Manage ") | |
| for suffix in (" Core Operations", " Core Operation"): | |
| if label.endswith(suffix): | |
| label = label[: -len(suffix)] | |
| break | |
| return label.strip() | |
| def subdomain_label(graph_name: str) -> str: | |
| """Strip 'Manage ' prefix from subdomain names.""" | |
| if not graph_name: | |
| return graph_name | |
| return graph_name.removeprefix("Manage ").strip() | |
| # --------------------------------------------------------------------------- | |
| # Fixed label maps | |
| # --------------------------------------------------------------------------- | |
| LABELS = { | |
| # Node types | |
| "epic": "Strategic Initiative", | |
| "epics": "Strategic Initiatives", | |
| "feature": "Workstream", | |
| "features": "Workstreams", | |
| "user_story": "Business Scenario", | |
| "user_stories": "Business Scenarios", | |
| "acceptance_criteria": "Delivery Standards", | |
| "subdomain": "Capability Area", | |
| "standard": "Governance Framework", | |
| "trend": "Innovation Driver", | |
| "subcapability": "Operational Capability", | |
| "capability": "Strategic Capability", | |
| "risk_register": "Risk Landscape", | |
| # Metrics | |
| "processing_time": "AI Analysis Time", | |
| "capabilities_retrieved": "Strategic Capabilities Analysed", | |
| "gpu_device": "GPU Device", | |
| "rocm_version": "ROCm Version", | |
| "compliance_score": "Governance Readiness Score", | |
| "standards_covered": "Governance Frameworks Verified", | |
| # References | |
| "governance_reference": "Regulatory Anchor", | |
| "trend_alignment": "Innovation Alignment", | |
| "strategic_rationale": "Strategic Rationale", | |
| "business_value": "Business Value", | |
| # DRL / AI | |
| "drl_used_true": "AMD-Powered AI Prioritisation", | |
| "drl_used_false": "Heuristic Prioritisation", | |
| "drl_trace": "AI Capability Prioritisation", | |
| # AC badge prefixes | |
| "[Compliance]": "Regulatory Obligation", | |
| "[KPI]": "Performance Target", | |
| } | |
| def label(key: str) -> str: | |
| return LABELS.get(key, key.replace("_", " ").title()) | |
| def ac_badge(ac: str) -> str: | |
| """Replace [Compliance] / [KPI] prefixes with friendly badges.""" | |
| if ac.startswith("[Compliance]"): | |
| return "🔒 " + ac.removeprefix("[Compliance]").strip() | |
| if ac.startswith("[KPI]"): | |
| return "📊 " + ac.removeprefix("[KPI]").strip() | |
| return ac | |
| # --------------------------------------------------------------------------- | |
| # Tab names (single source of truth) | |
| # --------------------------------------------------------------------------- | |
| TABS = [ | |
| "EA Advisor", | |
| "Graph Explorer", | |
| "Strategic Roadmap", | |
| "Initiatives & Scenarios", | |
| "Integrations", | |
| "Export & Handover", | |
| "AI Learning Engine", | |
| ] | |