Platform bundle: marketing publish, IT ops, packaging, agents mesh.
Volledige Foodlinkk Command Center uitbreiding met social automatisering, reclamefolder filters, Proxmox monitoring en documentatie.
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Aissa
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"""Halal vlees trends, top gerechten en food concept seeds."""
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from __future__ import annotations
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import re
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from datetime import datetime, timezone
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from typing import Any
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from app.db import fetch_all
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HALAL_MEAT_KEYWORDS = (
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"halal vlees", "halal meat", "halal kip", "halal lam", "halal rund",
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"halal gehakt", "halal chicken", "halal beef", "halal slacht",
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"halal certific", "vleesvervanger halal",
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)
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TOP_DISH_KEYWORDS = (
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"kant-en-klaar", "kant en klaar", "ready meal", "maaltijd", "gerecht",
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"curry", "stamppot", "biryani", "tagine", "lasagne", "schotel",
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"meal prep", "microwave meal", "diepvries maaltijd",
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)
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CONCEPT_SEEDS = [
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"Halal {dish} single-serve voor {chain} schappen in regio's met score >{score}",
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"Premium halal {meat} maaltijdlijn — inspelen op trend: {trend}",
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"Seizoens {dish} tray (4-portions) voor Plus/Jumbo non-listed partnership pitch",
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"AH {dish} variant — benchmark tegen {competitor} koers momentum ({pct}%)",
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"Halal-gap fill: {dish} + {meat} combo voor filialen zonder halal schap",
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]
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def _match_keywords(text: str, keywords: tuple[str, ...]) -> bool:
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blob = (text or "").lower()
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return any(k in blob for k in keywords)
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def fetch_halal_meat_trends(limit: int = 15) -> list[dict[str, Any]]:
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rows = fetch_all(
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"""SELECT i.title, i.link, i.summary, i.published_at, f.name AS feed_name, f.url AS feed_url
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FROM rss_items i JOIN rss_feeds f ON f.id = i.feed_id AND f.is_active = TRUE
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ORDER BY i.published_at DESC NULLS LAST LIMIT 200"""
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)
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out = []
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for r in rows:
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title = r.get("title") or ""
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summary = r.get("summary") or ""
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if not _match_keywords(f"{title} {summary}", HALAL_MEAT_KEYWORDS):
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continue
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out.append({
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"title": title,
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"link": r.get("link"),
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"summary": (summary or "")[:280],
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"feed_name": r.get("feed_name"),
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"feed_url": r.get("feed_url"),
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"published_at": r.get("published_at").isoformat() if r.get("published_at") else None,
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"category": "halal_vlees",
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"source_url": r.get("link"),
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})
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if len(out) >= limit:
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break
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return out
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def fetch_top_dishes(limit: int = 12) -> list[dict[str, Any]]:
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rows = fetch_all(
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"""SELECT i.title, i.link, i.summary, i.published_at, f.name AS feed_name, f.url AS feed_url
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FROM rss_items i JOIN rss_feeds f ON f.id = i.feed_id AND f.is_active = TRUE
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ORDER BY i.published_at DESC NULLS LAST LIMIT 250"""
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)
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scored: dict[str, dict[str, Any]] = {}
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for r in rows:
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title = (r.get("title") or "").lower()
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summary = (r.get("summary") or "").lower()
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blob = f"{title} {summary}"
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if not _match_keywords(blob, TOP_DISH_KEYWORDS):
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continue
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for kw in TOP_DISH_KEYWORDS:
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if kw in blob:
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key = kw.strip()
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if key not in scored:
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scored[key] = {
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"dish_keyword": key,
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"mentions": 0,
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"latest_title": r.get("title"),
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"latest_link": r.get("link"),
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"feed_name": r.get("feed_name"),
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"source_url": r.get("link"),
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}
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scored[key]["mentions"] += 1
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break
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items = sorted(scored.values(), key=lambda x: x["mentions"], reverse=True)[:limit]
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return items
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def fetch_market_trend_rows(limit: int = 8) -> list[dict[str, Any]]:
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rows = fetch_all(
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"""SELECT trend_name, description, opportunity_score, source, category, updated_at
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FROM market_trends ORDER BY updated_at DESC NULLS LAST LIMIT %s""",
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(limit,),
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)
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out = []
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for r in rows:
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out.append({
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"trend_name": r.get("trend_name"),
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"description": r.get("description"),
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"opportunity_score": float(r.get("opportunity_score") or 0),
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"source": r.get("source") or "Foodlinkk trends",
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"source_url": "/retail",
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"category": r.get("category") or "markt",
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})
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return out
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def generate_concepts(
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dishes: list[dict[str, Any]] | None = None,
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halal_items: list[dict[str, Any]] | None = None,
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market_best: dict[str, Any] | None = None,
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limit: int = 6,
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) -> list[dict[str, Any]]:
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dishes = dishes or fetch_top_dishes(5)
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halal_items = halal_items or fetch_halal_meat_trends(5)
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best_chain = (market_best or {}).get("chains", ["Albert Heijn"])[0]
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pct = (market_best or {}).get("change_pct", 0)
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competitor = (market_best or {}).get("name", "Ahold Delhaize")
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concepts = []
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for i, tmpl in enumerate(CONCEPT_SEEDS[:limit]):
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dish = dishes[i % len(dishes)]["dish_keyword"] if dishes else "kant-en-klaar maaltijd"
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meat = "halal kip" if halal_items else "halal vlees"
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trend = halal_items[i % len(halal_items)]["title"][:60] if halal_items else "groei halal convenience"
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text = tmpl.format(
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dish=dish,
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meat=meat,
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chain=best_chain,
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score=75,
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trend=trend,
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competitor=competitor,
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pct=pct,
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)
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concepts.append({
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"id": i + 1,
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"concept": text,
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"based_on": {
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"dish": dish,
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"halal_trend": trend,
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"market_signal": f"{competitor} {pct:+.1f}%" if market_best else "retail DB",
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},
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"source_urls": [
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u for u in [
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dishes[i % len(dishes)].get("source_url") if dishes else None,
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halal_items[i % len(halal_items)].get("source_url") if halal_items else None,
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(market_best or {}).get("source_url"),
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] if u
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],
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})
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return concepts
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def food_trends_dashboard() -> dict[str, Any]:
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halal = fetch_halal_meat_trends()
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dishes = fetch_top_dishes()
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trends = fetch_market_trend_rows()
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return {
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"halal_meat_trends": halal,
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"top_dishes": dishes,
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"market_trends": trends,
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"updated_at": datetime.now(timezone.utc).isoformat(),
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}
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