110 lines
3.5 KiB
Python
110 lines
3.5 KiB
Python
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"""Halal meat sales opportunity scoring for export market entities."""
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from __future__ import annotations
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import json
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import re
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from typing import Any
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# Land-basis: vraag naar halal vlees / moslim markt (0–100 proxy)
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COUNTRY_HALAL_MARKET: dict[str, float] = {
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"SA": 98, "AE": 97, "QA": 97, "KW": 96, "BH": 96, "OM": 95,
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"EG": 92, "MA": 90, "DZ": 90, "TN": 89, "LY": 88, "SD": 91, "SO": 93,
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"TR": 85, "ID": 94, "MY": 93, "PK": 95, "BD": 94, "AF": 96, "IR": 94,
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"IQ": 93, "JO": 90, "LB": 88, "SY": 89, "YE": 95, "PS": 91,
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"NG": 82, "SN": 92, "ML": 93, "NE": 95, "BF": 90, "CI": 85, "GH": 78,
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"KE": 72, "TZ": 78, "UG": 70, "ET": 68, "ZA": 55, "GB": 52, "FR": 54,
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"DE": 50, "NL": 58, "BE": 56, "SE": 42, "NO": 38, "DK": 40, "FI": 35,
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"AT": 48, "CH": 45, "IT": 46, "ES": 48, "PT": 42, "GR": 45, "CY": 55,
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"BA": 82, "AL": 85, "XK": 88, "MK": 75, "RS": 72, "BG": 58, "RO": 55,
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"US": 45, "CA": 48, "AU": 38, "NZ": 35, "MX": 40, "BR": 42, "AR": 38,
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"SG": 72, "TH": 55, "PH": 65, "IN": 70, "CN": 35, "JP": 30, "KR": 32,
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"RU": 48, "KZ": 62, "UZ": 75, "AZ": 80, "GE": 55,
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}
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TYPE_BASE: dict[str, float] = {
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"butcher": 92,
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"doner_shoarma": 90,
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"wholesaler": 86,
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"distributor": 85,
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"importer": 84,
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"contract_caterer": 78,
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"restaurant": 72,
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"foodservice": 65,
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"logistics": 45,
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}
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HALAL_KEYWORDS = re.compile(
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r"halal|helal|kebab|döner|doner|shoarma|shawarma|moslim|muslim|islamic|"
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r"middle\s*east|turkish|türk|arab|pakistani|moroccan|marok|syrian|lebanese|"
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r"peri\s*peri|grill|bbq|meat|vlees|slager|butcher|wholesale|groothandel|"
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r"cash\s*&\s*carry|horeca|ethnic|kosher",
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re.I,
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)
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EXPLICIT_HALAL = re.compile(r"\bhalal\b|\bhelal\b", re.I)
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def _product_interest_text(val: Any) -> str:
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if not val:
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return ""
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if isinstance(val, str):
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try:
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val = json.loads(val)
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except json.JSONDecodeError:
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return val
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if isinstance(val, list):
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return " ".join(str(x) for x in val)
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return str(val)
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def score_entity(row: dict[str, Any]) -> tuple[float, list[str]]:
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"""Return (score 0–100, reason tags)."""
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reasons: list[str] = []
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country = (row.get("country_iso2") or "").upper()
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etype = row.get("entity_type") or ""
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name = row.get("name") or ""
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notes = row.get("halal_cert_notes") or ""
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interest = _product_interest_text(row.get("product_interest"))
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score = TYPE_BASE.get(etype, 50)
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reasons.append(f"type:{etype}")
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market = COUNTRY_HALAL_MARKET.get(country, 40)
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score = score * 0.55 + market * 0.45
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if market >= 80:
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reasons.append("sterke_halal_markt")
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blob = f"{name} {notes} {interest}".lower()
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if EXPLICIT_HALAL.search(blob):
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score += 18
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reasons.append("halal_in_naam")
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elif HALAL_KEYWORDS.search(blob):
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score += 10
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reasons.append("halal_signaal")
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if etype in ("butcher", "doner_shoarma"):
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reasons.append("direct_vlees_kanaal")
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elif etype in ("wholesaler", "distributor", "importer"):
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reasons.append("B2B_kanaal")
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conf = int(row.get("confidence") or 50)
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score += (conf - 50) * 0.08
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if row.get("email") or row.get("contact_email"):
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score += 3
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if int(row.get("contact_count") or 0) > 0:
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score += 4
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reasons.append("heeft_contact")
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return round(min(100, max(0, score)), 1), reasons
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def halal_pin_tier(score: float) -> str:
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if score >= 75:
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return "hot"
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if score >= 55:
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return "warm"
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if score >= 40:
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return "mild"
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return "low"
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