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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>
39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
"""Required proof metrics and ROI estimate stubs."""
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from __future__ import annotations
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from typing import Any
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from auto_client_acquisition.service_tower.service_catalog import get_service_by_id
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def required_proof_metrics(service_id: str) -> list[str]:
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svc = get_service_by_id(service_id) or {}
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return list(svc.get("proof_metrics") or ["drafts_created", "approvals"])
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def build_proof_pack_template(service_id: str) -> dict[str, Any]:
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return {
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"service_id": service_id,
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"metrics": required_proof_metrics(service_id),
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"template_ar": "ملخص + قرارات + مخاطر منعت + أثر مقدّر",
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"demo": True,
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}
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def calculate_service_roi_estimate(service_id: str, metrics: dict[str, Any]) -> dict[str, Any]:
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influenced = int(metrics.get("revenue_influenced_sar", 0))
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if influenced <= 0:
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influenced = int(metrics.get("pipeline_sar", 12000))
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return {
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"service_id": service_id,
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"revenue_influenced_sar_estimate": influenced,
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"note_ar": "تقدير عرضي — ليس وعداً.",
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"demo": True,
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}
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def summarize_proof_ar(service_id: str, metrics: dict[str, Any]) -> str:
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r = calculate_service_roi_estimate(service_id, metrics)
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return f"خدمة {service_id}: أثر مقدّر {r.get('revenue_influenced_sar_estimate')} ريال (عرضي)."
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