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"""Live supermarket & food-retail stock quotes — Yahoo Finance."""
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from __future__ import annotations
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import json
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from datetime import datetime, timezone
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from typing import Any
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from urllib.parse import quote
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from urllib.request import Request, urlopen
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USER_AGENT = "Foodlinkk-MarketIntel/1.0"
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DATA_SOURCE = "Yahoo Finance"
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SOURCE_BASE = "https://finance.yahoo.com/quote/"
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# Beursgenoteerde supermarkt / food-retail ketens (geen FMCG zoals Unilever)
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LISTED_SUPERMARKET_STOCKS = [
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{
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"symbol": "AD.AS",
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"name": "Ahold Delhaize",
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"chains": ["Albert Heijn", "Gall & Gall", "Etos", "Bol"],
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"country": "NL/EU",
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"exchange": "Euronext Amsterdam",
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"listed": True,
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"color": "#0066cc",
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},
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{
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"symbol": "CAR.PA",
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"name": "Carrefour",
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"chains": ["Carrefour", "Carrefour Express"],
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"country": "EU",
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"exchange": "Euronext Paris",
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"listed": True,
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"color": "#005baa",
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},
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{
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"symbol": "TSCO.L",
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"name": "Tesco",
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"chains": ["Tesco", "Tesco Express"],
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"country": "UK",
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"exchange": "London Stock Exchange",
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"listed": True,
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"color": "#0050aa",
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},
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{
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"symbol": "SBRY.L",
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"name": "Sainsbury's",
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"chains": ["Sainsbury's", "Argos food"],
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"country": "UK",
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"exchange": "London Stock Exchange",
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"listed": True,
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"color": "#f06c00",
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},
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{
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"symbol": "MRW.L",
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"name": "Morrisons",
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"chains": ["Morrisons"],
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"country": "UK",
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"exchange": "London Stock Exchange",
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"listed": True,
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"color": "#f5c518",
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},
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{
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"symbol": "MKS.L",
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"name": "Marks & Spencer",
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"chains": ["M&S Food"],
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"country": "UK",
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"exchange": "London Stock Exchange",
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"listed": True,
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"color": "#00663d",
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},
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{
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"symbol": "COLR.BR",
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"name": "Colruyt Group",
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"chains": ["Colruyt", "Bio-Planet", "OKay"],
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"country": "BE/EU",
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"exchange": "Euronext Brussels",
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"listed": True,
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"color": "#e30613",
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},
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{
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"symbol": "ICA-B.ST",
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"name": "ICA Gruppen",
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"chains": ["ICA", "Maxi", "Rimi"],
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"country": "Nordics",
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"exchange": "Nasdaq Stockholm",
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"listed": True,
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"color": "#e30613",
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},
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{
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"symbol": "KR",
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"name": "Kroger",
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"chains": ["Kroger", "Albertsons merger context"],
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"country": "USA",
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"exchange": "NYSE",
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"listed": True,
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"color": "#004b87",
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},
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{
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"symbol": "WMT",
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"name": "Walmart",
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"chains": ["Walmart", "Sam's Club"],
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"country": "USA",
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"exchange": "NYSE",
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"listed": True,
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"color": "#0071ce",
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},
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{
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"symbol": "COST",
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"name": "Costco",
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"chains": ["Costco Wholesale"],
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"country": "USA/Global",
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"exchange": "NASDAQ",
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"listed": True,
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"color": "#e31837",
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},
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]
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# NL supermarkten — niet beursgenoteerd (transparantie voor CEO)
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UNLISTED_NL_CHAINS = [
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{
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"symbol": None,
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"name": "Jumbo",
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"chains": ["Jumbo", "Jumbo City"],
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"country": "NL",
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"exchange": "Familiebedrijf · niet beursgenoteerd",
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"listed": False,
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"parent": "Van Eerd familie",
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"color": "#ffcc00",
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"info_url": "https://www.jumbo.com/over-jumbo",
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},
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{
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"symbol": None,
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"name": "Plus",
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"chains": ["Plus", "Plus Compact"],
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"country": "NL",
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"exchange": "Coöperatief · niet beursgenoteerd",
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"listed": False,
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"parent": "Plus Retail (coöperatie)",
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"color": "#008040",
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"info_url": "https://www.plus.nl",
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},
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{
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"symbol": None,
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"name": "Dirk van den Broek",
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"chains": ["Dirk", "Dekamarkt"],
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"country": "NL",
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"exchange": "Privé · niet beursgenoteerd",
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"listed": False,
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"parent": "Schuitema / Dirk van den Broek",
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"color": "#e30613",
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"info_url": "https://www.dirk.nl",
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},
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{
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"symbol": None,
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"name": "Lidl",
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"chains": ["Lidl"],
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"country": "NL/EU",
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"exchange": "Schwarz Group · privé",
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"listed": False,
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"parent": "Schwarz Gruppe (DE)",
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"color": "#0050aa",
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"info_url": "https://www.lidl.nl",
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},
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{
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"symbol": None,
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"name": "ALDI",
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"chains": ["ALDI", "ALDI Nord/Süd"],
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"country": "NL/EU",
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"exchange": "Privé · niet beursgenoteerd",
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"listed": False,
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"parent": "Aldi Süd / Aldi Nord",
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"color": "#0066b3",
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"info_url": "https://www.aldi.nl",
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},
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]
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def _yahoo_url(symbol: str) -> str:
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return f"{SOURCE_BASE}{quote(symbol, safe='')}"
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def _fetch_chart(symbol: str) -> dict[str, Any]:
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url = (
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f"https://query1.finance.yahoo.com/v8/finance/chart/{quote(symbol, safe='')}"
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f"?interval=1d&range=1mo&includePrePost=false"
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)
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req = Request(url, headers={"User-Agent": USER_AGENT})
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with urlopen(req, timeout=14) as resp:
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payload = json.loads(resp.read().decode())
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result = (payload.get("chart") or {}).get("result") or []
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if not result:
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return {}
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meta = result[0].get("meta") or {}
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closes = (result[0].get("indicators") or {}).get("quote") or [{}]
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close_series = closes[0].get("close") or []
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valid = [c for c in close_series if c is not None]
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sparkline = valid[-14:] if len(valid) >= 14 else valid
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prev = valid[-2] if len(valid) >= 2 else None
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last = valid[-1] if valid else meta.get("regularMarketPrice")
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change_pct = meta.get("regularMarketChangePercent")
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if change_pct is None and prev and last and prev:
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change_pct = ((last - prev) / prev) * 100
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return {
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"price": meta.get("regularMarketPrice") or last,
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"currency": meta.get("currency") or "EUR",
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"change_pct": round(float(change_pct or 0), 2),
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"change_abs": meta.get("regularMarketChange"),
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"sparkline": [round(float(v), 2) for v in sparkline],
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"market_state": meta.get("marketState") or "CLOSED",
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"exchange_name": meta.get("exchangeName") or meta.get("fullExchangeName"),
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"quote_time": meta.get("regularMarketTime"),
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}
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def fetch_supermarket_quotes() -> list[dict[str, Any]]:
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now = datetime.now(timezone.utc).isoformat()
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items: list[dict[str, Any]] = []
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for stock in LISTED_SUPERMARKET_STOCKS:
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row = dict(stock)
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sym = stock["symbol"]
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row["source"] = DATA_SOURCE
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row["source_url"] = _yahoo_url(sym)
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row["chart_api"] = f"https://query1.finance.yahoo.com/v8/finance/chart/{sym}"
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row["fetched_at"] = now
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try:
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chart = _fetch_chart(sym)
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row.update(chart)
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row["trend"] = "up" if (row.get("change_pct") or 0) >= 0 else "down"
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row["live"] = row.get("price") is not None
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except Exception as exc: # noqa: BLE001
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row["error"] = str(exc)[:100]
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row["price"] = None
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row["change_pct"] = 0
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row["sparkline"] = []
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row["trend"] = "flat"
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row["live"] = False
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items.append(row)
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for chain in UNLISTED_NL_CHAINS:
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row = dict(chain)
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row["source"] = "Foodlinkk Intel"
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row["source_url"] = chain.get("info_url")
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row["fetched_at"] = now
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row["live"] = False
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row["price"] = None
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row["change_pct"] = None
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row["note"] = "Niet beursgenoteerd — geen live koers beschikbaar"
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items.append(row)
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return items
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def fetch_retail_quotes() -> list[dict[str, Any]]:
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"""Back-compat — alleen beursgenoteerde supermarkt-aandelen."""
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return [q for q in fetch_supermarket_quotes() if q.get("listed")]
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def market_summary(quotes: list[dict[str, Any]] | None = None) -> dict[str, Any]:
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quotes = quotes or fetch_retail_quotes()
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valid = [q for q in quotes if q.get("price") is not None]
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avg_change = sum(float(q.get("change_pct") or 0) for q in valid) / len(valid) if valid else 0
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best = max(valid, key=lambda q: float(q.get("change_pct") or 0), default=None)
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worst = min(valid, key=lambda q: float(q.get("change_pct") or 0), default=None)
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return {
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"avg_change_pct": round(avg_change, 2),
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"best_performer": best,
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"worst_performer": worst,
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"quote_count": len(valid),
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"listed_count": len(LISTED_SUPERMARKET_STOCKS),
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"unlisted_nl_count": len(UNLISTED_NL_CHAINS),
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"data_source": DATA_SOURCE,
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"updated_at": datetime.now(timezone.utc).isoformat(),
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}
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