mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2026-06-18 15:29:36 +00:00
b56a2f388b
ADDED MODULES: - intelligence/icp.py: ICP Builder — 34 Saudi industries, Arabic+English queries - intelligence/discovery.py: Multi-source discovery — web search + 34 seed companies - intelligence/enrichment.py: Company/person enrichment — website data + news - intelligence/scoring.py: 5-dimension scoring — Fit/Intent/Access/Value/Urgency - intelligence/entity_resolution.py: Arabic/English dedup + fuzzy matching - intelligence/outreach.py: Arabic-first outreach — WhatsApp/Email/LinkedIn - intelligence/triggers.py: Trigger alerts — funding/hiring/expansion/IPO - intelligence/pipeline.py: End-to-end orchestrator — ICP→Discovery→Score→Brief - routes/intelligence.py: 15 REST endpoints + audit chain integration - DB: 5 new tables — intelligence_leads/runs/watchlist/triggers/entities ARCHITECTURE: - Layer 1: Signal collection (web + curated Saudi B2B DB of 34 companies) - Layer 2: Enrichment (website data, news, tech stack detection) - Layer 3: 5D scoring — Master = 0.30 Fit + 0.25 Intent + 0.15 Access + 0.20 Value + 0.10 Urgency - Layer 4: Entity resolution — Arabic/English fuzzy dedup - Layer 5: Outreach brief — signal-driven WhatsApp/Email/LinkedIn in Arabic MOTION SUPPORT: B2B sales | partnership | channel | tender
88 lines
4.5 KiB
Python
88 lines
4.5 KiB
Python
"""
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ICP Builder — Ideal Customer Profile Engine
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Defines and stores ICP configs per org. Drives all discovery logic.
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"""
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from dataclasses import dataclass, field, asdict
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from typing import List, Optional, Dict, Any
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import json
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@dataclass
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class ICPConfig:
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"""Ideal Customer Profile — full definition per org"""
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org_id: str
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# Company attributes
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industries: List[str] = field(default_factory=list) # e.g. ["tech", "healthcare", "banking"]
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company_sizes: List[str] = field(default_factory=list) # e.g. ["50-200", "200-1000"]
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regions: List[str] = field(default_factory=list) # e.g. ["Riyadh", "Jeddah", "KSA"]
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revenue_range_sar: Dict[str, float] = field(default_factory=dict) # {"min": 1000000, "max": 50000000}
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tech_signals: List[str] = field(default_factory=list) # e.g. ["Salesforce", "SAP", "HubSpot"]
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growth_signals: List[str] = field(default_factory=list) # e.g. ["hiring", "funding", "expansion"]
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languages: List[str] = field(default_factory=list) # e.g. ["ar", "en"]
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# Person attributes (buying committee)
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target_titles_ar: List[str] = field(default_factory=list) # Arabic titles
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target_titles_en: List[str] = field(default_factory=list) # English titles
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seniority_levels: List[str] = field(default_factory=list) # e.g. ["C-level", "VP", "Director"]
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# Opportunity type
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motion: str = "sales" # sales | partnership | channel | tender
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segment: str = "B2B" # B2B | B2C | B2T
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# Scoring weights (must sum to 1.0)
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fit_weight: float = 0.30
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intent_weight: float = 0.25
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access_weight: float = 0.15
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value_weight: float = 0.20
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urgency_weight: float = 0.10
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# Discovery sources
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discovery_sources: List[str] = field(default_factory=lambda: [
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"web_search", "linkedin_public", "news", "job_boards", "directories"
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])
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def to_dict(self) -> Dict[str, Any]:
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return asdict(self)
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def build_search_queries(self) -> List[str]:
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"""Auto-generate search queries from ICP attributes — Arabic + English"""
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queries = []
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for industry in self.industries[:3]:
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for region in self.regions[:2]:
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queries.append(f"شركات {industry} في {region}")
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queries.append(f"{industry} companies in {region} Saudi Arabia")
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for signal in self.growth_signals[:2]:
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for industry in self.industries[:2]:
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queries.append(f"{industry} {signal} Saudi Arabia 2025 2026")
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for title in self.target_titles_ar[:2]:
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for industry in self.industries[:2]:
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queries.append(f"{title} {industry} السعودية")
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for title in self.target_titles_en[:2]:
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for industry in self.industries[:2]:
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queries.append(f"{title} {industry} Saudi Arabia LinkedIn")
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return queries[:20] # cap at 20 queries
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# Default Dealix ICP — B2B SaaS / Enterprise, Saudi-first
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DEALIX_DEFAULT_ICP = ICPConfig(
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org_id="dealix",
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industries=["تقنية", "رعاية صحية", "مالية وبنوك", "عقارات", "تصنيع", "تجزئة", "لوجستيات",
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"technology", "healthcare", "banking", "real estate", "manufacturing", "retail"],
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company_sizes=["10-50", "50-200", "200-1000", "1000+"],
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regions=["الرياض", "جدة", "الدمام", "المنطقة الشرقية", "Riyadh", "Jeddah", "Dammam", "KSA"],
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revenue_range_sar={"min": 500_000, "max": 500_000_000},
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tech_signals=["Salesforce", "SAP", "Oracle", "HubSpot", "Zoho", "Microsoft Dynamics", "Excel", "WhatsApp Business"],
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growth_signals=["hiring", "expansion", "funding", "partnership", "IPO", "digital transformation",
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"توظيف", "توسع", "تمويل", "شراكة", "تحول رقمي"],
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languages=["ar", "en"],
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target_titles_ar=["مدير تطوير الأعمال", "مدير المبيعات", "الرئيس التنفيذي", "المدير التجاري",
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"مدير الشراكات", "مدير التسويق", "مدير المشتريات", "نائب الرئيس"],
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target_titles_en=["CEO", "CCO", "VP Sales", "Head of Business Development", "Commercial Director",
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"Chief Revenue Officer", "Sales Director", "Partnerships Manager"],
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seniority_levels=["C-level", "VP", "Director", "Head of", "Manager"],
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motion="sales",
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segment="B2B",
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discovery_sources=["web_search", "news", "job_boards", "directories", "linkedin_public"],
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)
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