system-prompts-and-models-o.../salesflow-saas/backend/app/api/v1/executive_room.py
Sami Assiri 1ceeea9004 feat(tier1): finalize production activation and revenue execution pack
Complete Tier-1 closure follow-through by wiring docs governance gates, RC release readiness checks, source-of-truth enforcement, executive weekly contract surface, and go-live severity notes.
Add full go-live revenue execution documentation set (production activation, real production playbook, trust expansion, first 3 clients, live deployment, and automated revenue engine) and register all canonical paths.

Made-with: Cursor
2026-04-17 14:13:57 +03:00

71 lines
1.9 KiB
Python

"""Executive Room API — unified executive decision surface."""
from fastapi import APIRouter
from typing import Any, Dict
from app.services.core_os.tier1_demo_bundle import build_exec_weekly_governance_contract_from_demo_bundle
router = APIRouter(prefix="/executive-room", tags=["Executive Room"])
@router.get("/snapshot")
async def executive_snapshot() -> Dict[str, Any]:
"""Full executive room snapshot."""
exec_weekly = build_exec_weekly_governance_contract_from_demo_bundle()
return {
"revenue": {
"actual": 0,
"forecast": 0,
"variance_percent": 0.0,
"pipeline_value": 0,
"win_rate": 0.0,
},
"approvals": {
"pending": 0,
"warning": 0,
"breach": 0,
},
"connectors": {
"healthy": 0,
"degraded": 0,
"error": 0,
},
"compliance": {
"compliant": 0,
"partial": 0,
"non_compliant": 0,
"posture": "unknown",
},
"contradictions": {
"active": 0,
"critical": 0,
},
"strategic_deals": {
"active": 0,
"pipeline_value": 0,
},
"evidence_packs": {
"ready": 0,
"pending_review": 0,
},
"tier1_exec_surface": exec_weekly.model_dump(mode="json"),
}
@router.get("/risks")
async def executive_risks() -> Dict[str, Any]:
"""Risk summary for executives."""
return {"risks": [], "total": 0}
@router.get("/decisions-pending")
async def pending_decisions() -> Dict[str, Any]:
"""Decisions requiring executive attention."""
return {"decisions": [], "total": 0}
@router.get("/forecast-vs-actual")
async def forecast_vs_actual() -> Dict[str, Any]:
"""Forecast vs actual comparison."""
return {"tracks": {}, "overall_health": "unknown"}