mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2026-06-18 07:19:35 +00:00
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>
100 lines
4.4 KiB
Python
100 lines
4.4 KiB
Python
"""Intel-specific command cards — unified schema for Arabic decision UI."""
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from __future__ import annotations
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from typing import Any
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def normalize_intel_card(raw: dict[str, Any]) -> dict[str, Any]:
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"""
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Unified card shape: Arabic titles, <=3 buttons, no live actions.
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Accepts either pre-normalized dicts or legacy keys (``cta_ar``, ``summary_ar``).
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"""
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title_ar = str(raw.get("title_ar") or "")
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summary_ar = str(raw.get("summary_ar") or "")
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why_it_matters_ar = str(raw.get("why_it_matters_ar") or summary_ar)
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recommended_action_ar = str(
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raw.get("recommended_action_ar")
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or raw.get("suggested_action")
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or raw.get("cta_ar")
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or raw.get("cta")
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or "مراجعة المسودة"
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)
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risk_level = str(raw.get("risk_level") or "medium")
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try:
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expected_impact_sar = float(raw.get("expected_impact_sar") or 0)
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except (TypeError, ValueError):
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expected_impact_sar = 0.0
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buttons_in = raw.get("buttons")
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buttons: list[dict[str, str]] = []
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if isinstance(buttons_in, list) and buttons_in and isinstance(buttons_in[0], dict):
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for b in buttons_in[:3]:
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label = str(b.get("label_ar") or b.get("label") or "")
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aid = str(b.get("action_id") or b.get("id") or "action")
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if label:
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buttons.append({"label_ar": label, "action_id": aid})
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elif isinstance(buttons_in, list) and buttons_in and isinstance(buttons_in[0], str):
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for i, label in enumerate(buttons_in[:3]):
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buttons.append({"label_ar": str(label), "action_id": f"btn_{i}"})
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else:
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cta = str(raw.get("cta_ar") or raw.get("cta") or "مراجعة")
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buttons = [
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{"label_ar": cta, "action_id": "primary"},
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{"label_ar": "تعديل", "action_id": "edit"},
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{"label_ar": "تخطي", "action_id": "skip"},
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]
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return {
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"type": str(raw.get("type") or "generic"),
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"title_ar": title_ar,
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"summary_ar": summary_ar,
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"why_it_matters_ar": why_it_matters_ar,
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"recommended_action_ar": recommended_action_ar,
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"risk_level": risk_level,
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"expected_impact_sar": expected_impact_sar,
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"buttons": buttons[:3],
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"approval_required": bool(raw.get("approval_required", True)),
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}
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def build_intel_command_feed(context: dict[str, Any] | None = None) -> dict[str, Any]:
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ctx = context or {}
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raw_cards: list[dict[str, Any]] = [
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{
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"type": "revenue_leak",
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"title_ar": "تسرب إيراد — غياب متابعة موحّدة",
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"summary_ar": "ثلاث صفقات بدون موعد تالي خلال ٧ أيام؛ خطر فقدان ١٥٪ من القيمة الموزونة.",
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"why_it_matters_ar": "التأخير يقلل احتمال الرد والإغلاق خلال نافذة الشراء.",
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"recommended_action_ar": "جدولة متابعة قصيرة مع خيار إيقاف.",
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"risk_level": "medium",
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"expected_impact_sar": 42000.0,
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"buttons": [
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{"label_ar": "اعتمد", "action_id": "approve"},
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{"label_ar": "عدّل", "action_id": "edit"},
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{"label_ar": "تخطي", "action_id": "skip"},
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],
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"approval_required": True,
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},
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{
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"type": "board_brief",
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"title_ar": "موجز للمجلس — قرار واحد هذا الأسبوع",
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"summary_ar": "الموافقة على نطاق pilot ثانٍ في قطاع الصحة أو تجميد التوسع لصيانة الجودة.",
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"why_it_matters_ar": "التركيز يحمي الجودة ويُسرّع إثبات القيمة للعميل.",
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"recommended_action_ar": "عرض موجز قرار واحد صفحة واحدة.",
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"risk_level": "low",
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"expected_impact_sar": 0.0,
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"buttons": [
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{"label_ar": "عرض الموجز", "action_id": "open_brief"},
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{"label_ar": "تأجيل", "action_id": "snooze"},
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{"label_ar": "إغلاق", "action_id": "dismiss"},
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],
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"approval_required": True,
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},
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]
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if ctx.get("append_custom") and isinstance(ctx["append_custom"], dict):
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raw_cards.append(ctx["append_custom"])
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cards = [normalize_intel_card(x) for x in raw_cards]
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return {"cards": cards, "source": "intelligence_layer", "demo": True}
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