mirror of
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>
83 lines
3.0 KiB
Python
83 lines
3.0 KiB
Python
"""Growth profile from JSON — no LLM required for MVP."""
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from __future__ import annotations
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import hashlib
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import json
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from typing import Any
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_DEFAULT_BLOCKED = (
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"cold_whatsapp",
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"auto_linkedin_dm",
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"bulk_send_without_approval",
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"purchased_list_bulk",
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)
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def _growth_brain_id(company: dict[str, Any]) -> str:
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payload = json.dumps(company, ensure_ascii=False, sort_keys=True, default=str)
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h = hashlib.sha256(payload.encode("utf-8")).hexdigest()[:20]
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return f"gb_{h}"
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def build_growth_profile(company: dict[str, Any] | None) -> dict[str, Any]:
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c = company or {}
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company_name = str(c.get("company_name") or c.get("name") or "غير مسمّى")
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sector = str(c.get("sector") or "غير محدد")
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city = str(c.get("city") or "الرياض")
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goal_ar = str(c.get("goal_ar") or c.get("goal") or "تسريع خط أنابيب المبيعات")
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icp_hint_ar = str(c.get("icp_hint_ar") or "قرارات شراء في المؤسسات متوسطة الحجم")
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risk = str(c.get("risk_tolerance") or c.get("risk") or "medium").lower()
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channels_in = c.get("channels")
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channels: list[str] = []
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if isinstance(channels_in, list):
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channels = [str(x).strip().lower() for x in channels_in if str(x).strip()]
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blocked = list(_DEFAULT_BLOCKED)
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if risk == "low":
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blocked = ["cold_whatsapp", "purchased_list_bulk", "auto_linkedin_dm"]
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elif risk == "high":
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blocked = list(_DEFAULT_BLOCKED) + ["unsupervised_payment_capture"]
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tone = "professional_saudi_short"
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if risk == "low":
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tone = "warm_saudi_concise"
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elif risk == "high":
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tone = "formal_saudi_minimal"
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recommended_first_mission = "ten_in_ten_opportunities"
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if c.get("recommended_first_mission"):
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recommended_first_mission = str(c.get("recommended_first_mission"))
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seed_obj = {
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"company_name": company_name,
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"sector": sector,
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"city": city,
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"goal_ar": goal_ar,
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"channels": channels,
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"risk_tolerance": risk,
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}
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return {
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"growth_brain_id": _growth_brain_id(seed_obj),
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"company_name": company_name,
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"sector": sector,
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"city": city,
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"goal_ar": goal_ar,
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"icp_hint_ar": icp_hint_ar,
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"channels_connected": channels or ["whatsapp", "email"],
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"blocked_actions": blocked,
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"recommended_first_mission": recommended_first_mission,
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"tone": tone,
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"best_segments": _suggest_segments(sector),
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"demo": True,
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}
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def _suggest_segments(sector: str) -> list[str]:
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s = sector.lower()
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if "training" in s or "تدريب" in s or "consult" in s:
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return ["مدراء الموارد البشرية", "مدراء المبيعات", "رؤساء التعلم والتطوير"]
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if "health" in s or "صح" in s or "clinic" in s:
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return ["مدراء العيادات", "مشتريات طبية", "عمليات"]
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return ["صناع القرار المالي", "مدراء المشتريات", "العمليات"]
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