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Volledige Foodlinkk Command Center uitbreiding met social automatisering, reclamefolder filters, Proxmox monitoring en documentatie.
2026-06-09 00:41:27 +00:00
commit 5d60d33db1
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+"""Halal market opportunity scoring for retail locations."""
+from __future__ import annotations
+
+from typing import Any
+
+from app.db import execute, fetch_all, fetch_one, json_param
+
+
+def compute_all_scores(limit: int = 5000) -> dict[str, Any]:
+    rows = fetch_all(
+        """
+        SELECT s.id, s.chain, s.city, s.postcode, s.halal_certified, s.has_halal_section,
+               s.partnership_status, a.population, a.avg_income,
+               (a.religious_composition->>'muslim_proxy_pct')::float AS muslim_pct,
+               (a.ethnic_composition->>'niet_westers_pct')::float AS niet_westers_pct
+        FROM supermarkets s
+        LEFT JOIN area_analysis a ON a.postcode = s.postcode
+        WHERE s.postcode <> '0000AA'
+        LIMIT %s
+        """,
+        (limit,),
+    )
+    computed = 0
+    for r in rows:
+        muslim = float(r.get("muslim_pct") or 0)
+        niet_w = float(r.get("niet_westers_pct") or 0)
+        pop = int(r.get("population") or 0)
+        income = float(r.get("avg_income") or 0)
+
+        halal_gap = 0.0
+        if not r.get("halal_certified") and not r.get("has_halal_section"):
+            halal_gap = min(100, muslim * 1.5 + niet_w * 0.5)
+        elif r.get("has_halal_section") and not r.get("halal_certified"):
+            halal_gap = min(80, muslim * 0.8)
+
+        market_potential = 0.0
+        if pop > 0:
+            market_potential += min(40, pop / 25000)
+        if income > 0:
+            market_potential += min(30, income / 1500)
+        market_potential += min(30, muslim * 0.4)
+
+        partnership_bonus = 15 if r.get("partnership_status") == "active" else 0
+        halal_opp = round(min(100, halal_gap + market_potential * 0.3), 1)
+        market_score = round(min(100, market_potential + partnership_bonus), 1)
+
+        factors = {
+            "muslim_proxy_pct": muslim,
+            "niet_westers_pct": niet_w,
+            "population": pop,
+            "avg_income": income,
+            "halal_gap": round(halal_gap, 1),
+            "has_halal_section": bool(r.get("has_halal_section")),
+            "halal_certified": bool(r.get("halal_certified")),
+            "partnership_status": r.get("partnership_status"),
+        }
+        execute(
+            """
+            INSERT INTO retail_opportunity_scores (supermarket_id, halal_opportunity_score,
+                market_potential_score, factors, computed_at)
+            VALUES (%s, %s, %s, %s, NOW())
+            ON CONFLICT (supermarket_id) DO UPDATE SET
+                halal_opportunity_score = EXCLUDED.halal_opportunity_score,
+                market_potential_score = EXCLUDED.market_potential_score,
+                factors = EXCLUDED.factors,
+                computed_at = NOW()
+            """,
+            (r["id"], halal_opp, market_score, json_param(factors)),
+        )
+        execute(
+            "UPDATE supermarkets SET halal_opportunity_score = %s WHERE id = %s",
+            (halal_opp, r["id"]),
+        )
+        computed += 1
+    return {"computed": computed}
+
+
+def top_opportunities(
+    limit: int = 50,
+    min_score: float = 30,
+    chain: str | None = None,
+    province: str | None = None,
+) -> list[dict[str, Any]]:
+    clauses = ["ros.halal_opportunity_score >= %s"]
+    params: list[Any] = [min_score]
+    if chain:
+        clauses.append("s.chain ILIKE %s")
+        params.append(f"%{chain}%")
+    if province:
+        clauses.append("s.province ILIKE %s")
+        params.append(f"%{province}%")
+    where = " AND ".join(clauses)
+    return fetch_all(
+        f"""
+        SELECT s.id, s.name, s.chain, s.city, s.province, s.postcode,
+               s.partnership_status, s.halal_certified, s.has_halal_section,
+               ros.halal_opportunity_score, ros.market_potential_score, ros.factors,
+               a.population, a.avg_income,
+               (a.religious_composition->>'muslim_proxy_pct')::float AS muslim_proxy_pct
+        FROM retail_opportunity_scores ros
+        JOIN supermarkets s ON s.id = ros.supermarket_id
+        LEFT JOIN area_analysis a ON a.postcode = s.postcode
+        WHERE {where}
+        ORDER BY ros.halal_opportunity_score DESC
+        LIMIT %s
+        """,
+        tuple(params + [limit]),
+    )