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https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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f5c5aafbb0
Sprint A — Executive Room real data: Rewrote executive_roi_service.py (20→158 lines) to aggregate from 7 live services: deals (revenue/pipeline/win_rate), approval SLA (pending/warning/ breach from _dealix_sla), connector health (IntegrationSyncState), compliance posture (saudi_compliance_matrix), contradictions (contradiction_engine), strategic deals, evidence packs. Sprint B — Approval Center live: Wired approval_center.py to query real ApprovalRequest table with SLA data from payload["_dealix_sla"]. Approve/reject endpoints update real DB records with reviewed_at timestamp. Sprint C — Saudi Compliance live: Wired saudi_compliance.py to call saudi_compliance_matrix service methods (get_matrix, get_posture, get_risk_heatmap) with real AsyncSession + tenant_id. Sprint D — Contradiction + Evidence Pack DB: Wired contradiction.py and evidence_packs.py to real database via contradiction_engine and evidence_pack_service. All CRUD operations now persist to PostgreSQL with proper tenant isolation. Sprint F — Operating Plane: Created CODEOWNERS file mapping sensitive paths to @VoXc2. Added architecture_brief.py step to CI pipeline (runs before pytest). Sprint G — OWASP LLM: Added OWASP LLM Top 10 review + architecture brief validation to release-prep.md (steps 10-11). https://claude.ai/code/session_01W1rJthWDkasijTdXCfxVHs
76 lines
3.4 KiB
Python
76 lines
3.4 KiB
Python
"""Executive Room API — unified executive decision surface with real data."""
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from fastapi import APIRouter, Depends
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from typing import Any, Dict
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.database import get_db
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from app.services.executive_roi_service import executive_room_service
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router = APIRouter(prefix="/executive-room", tags=["Executive Room"])
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@router.get("/snapshot")
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async def executive_snapshot(
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tenant_id: str = "00000000-0000-0000-0000-000000000000",
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db: AsyncSession = Depends(get_db),
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) -> Dict[str, Any]:
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"""Full executive room snapshot aggregated from 7 live services."""
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return await executive_room_service.build_snapshot(db, tenant_id)
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@router.get("/risks")
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async def executive_risks(
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tenant_id: str = "00000000-0000-0000-0000-000000000000",
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db: AsyncSession = Depends(get_db),
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) -> Dict[str, Any]:
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"""Risk summary for executives."""
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snapshot = await executive_room_service.build_snapshot(db, tenant_id)
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risks = []
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if snapshot["approvals"]["breach"] > 0:
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risks.append({"type": "sla_breach", "severity": "high", "count": snapshot["approvals"]["breach"], "description_ar": "خرق SLA في الموافقات"})
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if snapshot["contradictions"]["critical"] > 0:
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risks.append({"type": "contradiction", "severity": "critical", "count": snapshot["contradictions"]["critical"], "description_ar": "تناقضات حرجة نشطة"})
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if snapshot["compliance"]["non_compliant"] > 0:
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risks.append({"type": "compliance", "severity": "high", "count": snapshot["compliance"]["non_compliant"], "description_ar": "ضوابط غير ممتثلة"})
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if snapshot["connectors"]["error"] > 0:
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risks.append({"type": "connector_error", "severity": "medium", "count": snapshot["connectors"]["error"], "description_ar": "موصلات معطلة"})
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return {"risks": risks, "total": len(risks)}
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@router.get("/decisions-pending")
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async def pending_decisions(
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tenant_id: str = "00000000-0000-0000-0000-000000000000",
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db: AsyncSession = Depends(get_db),
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) -> Dict[str, Any]:
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"""Decisions requiring executive attention — high-priority approvals + critical contradictions."""
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snapshot = await executive_room_service.build_snapshot(db, tenant_id)
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decisions = []
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if snapshot["approvals"]["pending"] > 0:
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decisions.append({"type": "approval", "count": snapshot["approvals"]["pending"], "description_ar": "موافقات معلقة"})
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if snapshot["contradictions"]["active"] > 0:
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decisions.append({"type": "contradiction", "count": snapshot["contradictions"]["active"], "description_ar": "تناقضات تحتاج مراجعة"})
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return {"decisions": decisions, "total": len(decisions)}
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@router.get("/forecast-vs-actual")
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async def forecast_vs_actual(
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tenant_id: str = "00000000-0000-0000-0000-000000000000",
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db: AsyncSession = Depends(get_db),
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) -> Dict[str, Any]:
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"""Forecast vs actual comparison from live data."""
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snapshot = await executive_room_service.build_snapshot(db, tenant_id)
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rev = snapshot["revenue"]
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return {
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"tracks": {
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"revenue": {
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"actual": rev["actual"],
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"forecast": rev["forecast"],
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"variance_percent": rev["variance_percent"],
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},
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"strategic_deals": snapshot["strategic_deals"],
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},
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"overall_health": "on_track" if rev["variance_percent"] >= -10 else "at_risk",
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}
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