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2026-06-09 00:41:27 +00:00

274 lines
8.6 KiB
Python

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