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https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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b13cb389cc
- API routers, ACA modules, integrations (draft operators) - Docs, landing pages, scripts (launch readiness, scorecard) - Tests and CI workflow updates for Dealix Co-authored-by: Cursor <cursoragent@cursor.com>
51 lines
1.7 KiB
Python
51 lines
1.7 KiB
Python
"""Customer ops API — onboarding, SLA, connectors (deterministic)."""
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from __future__ import annotations
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from fastapi import APIRouter, Body
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from auto_client_acquisition.customer_ops.connector_setup_status import build_connector_status
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from auto_client_acquisition.customer_ops.customer_success_cadence import build_weekly_cadence
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from auto_client_acquisition.customer_ops.incident_router import build_incident_playbook, classify_incident
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from auto_client_acquisition.customer_ops.onboarding_checklist import build_onboarding_checklist
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from auto_client_acquisition.customer_ops.sla_tracker import build_sla_summary
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from auto_client_acquisition.customer_ops.support_ticket_router import route_ticket
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router = APIRouter(prefix="/api/v1/customer-ops", tags=["customer-ops"])
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@router.get("/onboarding/checklist")
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async def onboarding_checklist(service_id: str | None = None) -> dict[str, object]:
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return build_onboarding_checklist(service_id)
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@router.get("/support/sla")
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async def support_sla() -> dict[str, object]:
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return build_sla_summary()
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@router.get("/connectors/status")
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async def connectors_status() -> dict[str, object]:
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return build_connector_status()
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@router.get("/success/cadence")
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async def success_cadence() -> dict[str, object]:
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return build_weekly_cadence()
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@router.get("/incidents/playbook")
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async def incidents_playbook() -> dict[str, object]:
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return build_incident_playbook()
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@router.post("/support/route")
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async def support_route(payload: dict[str, object] = Body(default_factory=dict)) -> dict[str, object]:
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issue = str(payload.get("issue_ar") or "")
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return route_ticket(issue)
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@router.get("/incidents/classify")
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async def incidents_classify(severity: str = "P3") -> dict[str, object]:
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return classify_incident(severity)
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