Platform bundle: marketing publish, IT ops, packaging, agents mesh.

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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+"""Market trends feed for kant-en-klaar / halal ready meals."""
+from __future__ import annotations
+
+from typing import Any
+
+from app.db import execute_returning, fetch_all, json_param
+
+
+TREND_SEEDS = [
+    {
+        "category": "kant-en-klaar",
+        "trend_name": "Halal ready-meals groei stedelijk",
+        "description": "Stedelijke gebieden met hoge niet-westerse bevolking tonen vraag naar halal kant-en-klaar zonder voldoende schap-aanbod.",
+        "source": "CBS + retail intelligence",
+        "confidence_score": 0.82,
+        "opportunity_score": 0.88,
+        "related_products": ["halal maaltijden", "microwave meals", "salades"],
+        "action_items": ["Target Plus/Jumbo regio's met halal-gap score >60", "Pilot schap bij 3 filialen"],
+    },
+    {
+        "category": "halal",
+        "trend_name": "Certificering als vertrouwen-driver",
+        "description": "Filialen met halal-certificering maar beperkt ready-meal assortiment = upsell kans voor Foodlinkk.",
+        "source": "halal_registry + CRM",
+        "confidence_score": 0.75,
+        "opportunity_score": 0.80,
+        "related_products": ["HQC gecertificeerde maaltijden"],
+        "action_items": ["Match HQC stores met CRM pipeline", "Cross-sell bestaande klanten"],
+    },
+    {
+        "category": "kant-en-klaar",
+        "trend_name": "Convenience trend post-COVID",
+        "description": "Gemiddeld inkomen en eenpersoonshuishoudens correleren met groei kant-en-klaar segment.",
+        "source": "CBS kerncijfers",
+        "confidence_score": 0.70,
+        "opportunity_score": 0.72,
+        "related_products": ["single-serve", "meal kits"],
+        "action_items": ["Filter winkels op huishoudens + inkomen >€35k"],
+    },
+]
+
+
+def refresh_trends_from_social() -> dict[str, Any]:
+    """Derive trend signals from social mentions keywords."""
+    mentions = fetch_all(
+        """SELECT platform, text, sentiment_score, created_at FROM social_mentions
+           WHERE created_at > NOW() - interval '30 days'
+           ORDER BY created_at DESC LIMIT 100"""
+    )
+    keywords = {
+        "halal": 0, "kant-en-klaar": 0, "ready meal": 0, "meal prep": 0,
+        "supermarkt": 0, "schap": 0, "afhalen": 0,
+    }
+    for m in mentions:
+        text = (m.get("text") or "").lower()
+        for kw in keywords:
+            if kw in text:
+                keywords[kw] += 1
+
+    created = 0
+    for kw, count in keywords.items():
+        if count < 1:
+            continue
+        execute_returning(
+            """INSERT INTO market_trends (category, trend_name, description, source,
+               confidence_score, opportunity_score, related_products, data_source)
+               VALUES (%s, %s, %s, 'social_mentions', %s, %s, %s, 'live_feed')
+               RETURNING id""",
+            (
+                "kant-en-klaar" if "meal" in kw or "kant" in kw else "halal",
+                f"Social buzz: {kw} ({count} mentions)",
+                f"{count} vermeldingen afgelopen 30 dagen rond '{kw}'.",
+                min(0.95, 0.5 + count * 0.05),
+                min(0.95, 0.4 + count * 0.06),
+                [kw],
+            ),
+        )
+        created += 1
+
+    for seed in TREND_SEEDS:
+        exists = fetch_all(
+            "SELECT id FROM market_trends WHERE trend_name = %s LIMIT 1",
+            (seed["trend_name"],),
+        )
+        if not exists:
+            execute_returning(
+                """INSERT INTO market_trends (category, trend_name, description, source,
+                   confidence_score, opportunity_score, related_products, action_items, data_source)
+                   VALUES (%s,%s,%s,%s,%s,%s,%s,%s,'seed') RETURNING id""",
+                (
+                    seed["category"], seed["trend_name"], seed["description"], seed["source"],
+                    seed["confidence_score"], seed["opportunity_score"],
+                    seed["related_products"], seed["action_items"],
+                ),
+            )
+            created += 1
+    return {"trends_created": created, "keyword_hits": keywords}
+
+
+def list_live_trends(limit: int = 20) -> list[dict[str, Any]]:
+    return fetch_all(
+        """SELECT * FROM market_trends ORDER BY updated_at DESC NULLS LAST, created_at DESC LIMIT %s""",
+        (limit,),
+    )