apiVersion: v1 kind: PersistentVolumeClaim metadata: name: glance-helper-data namespace: glance-system spec: accessModes: - ReadWriteOnce resources: requests: storage: 200Mi --- apiVersion: v1 kind: ConfigMap metadata: name: glance-helper-app namespace: glance-system data: app.py: |- import os import time import re from typing import List, Dict, Any, Optional import requests from bs4 import BeautifulSoup from fastapi import FastAPI, Response from prometheus_client import Counter, Histogram, Gauge, generate_latest, CONTENT_TYPE_LATEST APP = FastAPI() # Configuration IDOKEP_URL = os.getenv("IDOKEP_URL", "https://www.idokep.hu/idojaras/Budapest%20VII.%20ker") PLACE_NAME = os.getenv("PLACE_NAME", "Budapest VII. ker") SOURCE_NAME = "Időkép" UA = os.getenv("USER_AGENT", "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome Safari") SCRAPES = Counter("idokep_scrapes_total", "Total Időkép scrapes", ["place", "status"]) SCRAPE_SECONDS = Histogram("idokep_scrape_seconds", "Időkép scrape duration in seconds", ["place"]) def _abs_url(url): return "https://www.idokep.hu" + url if url and not url.startswith("http") else url def _to_float(s): try: return float(s.strip().replace("˚C", "").replace("°C", "").replace("°", "").replace(",", ".")) except: return None def _calculate_gradient_data(daily_items): if not daily_items: return daily_items # 1. Global Min/Max for the week mins = [d["tmin_c"] for d in daily_items if d["tmin_c"] is not None] maxs = [d["tmax_c"] for d in daily_items if d["tmax_c"] is not None] if not mins or not maxs: return daily_items g_min = min(mins) - 1.0 g_max = max(maxs) + 1.0 span = g_max - g_min if span <= 0: span = 1.0 # 2. Calculate percentages for key colors relative to this week's range # -10 (White), 0 (Blue), 15 (Purple), 25 (Pink), 35 (Red) def get_pct(t): return (t - g_min) / span * 100.0 s_wht = get_pct(-10) s_blu = get_pct(0) s_pur = get_pct(15) s_pnk = get_pct(25) s_red = get_pct(35) # 3. Generate CSS Variables for each row for d in daily_items: tmin, tmax = d["tmin_c"], d["tmax_c"] if tmin is None or tmax is None: continue # Bar Geometry w_pct = (tmax - tmin) / span * 100.0 if w_pct < 2: w_pct = 2 l_pct = (tmin - g_min) / span * 100.0 # Gradient Compensation (Zoom & Shift) inner_w = (100.0 / w_pct) * 100.0 inner_ml = -(l_pct / w_pct) * 100.0 # We pass ONLY variables to avoid HTML sanitization issues d["css_vars"] = ( f"--l: {l_pct:.1f}%; --w: {w_pct:.1f}%; " f"--gw: {inner_w:.1f}%; --ml: {inner_ml:.1f}%; " f"--s-wht: {s_wht:.1f}%; --s-blu: {s_blu:.1f}%; " f"--s-pur: {s_pur:.1f}%; --s-pnk: {s_pnk:.1f}%; --s-red: {s_red:.1f}%;" ) return daily_items def scrape() -> Dict[str, Any]: try: r = requests.get(IDOKEP_URL, headers={"User-Agent": UA}, timeout=15) r.raise_for_status() soup = BeautifulSoup(r.text, "html.parser") # Current cur_temp_el = soup.select_one(".current-temperature") cur_cond_el = soup.select_one(".current-weather") cur_icon_el = soup.select_one(".forecast-bigicon") # Hourly hourly = [] for card in soup.select(".ik.hourly-forecast-card")[:8]: t = card.select_one(".ik.hourly-forecast-hour") temp = card.select_one(".ik.temperature-circled") icon = card.select_one("img.ik.forecast-icon") if t and temp: hourly.append({ "time": t.get_text(strip=True), "temp_c": _to_float(temp.get_text(strip=True)), "icon_url": _abs_url(icon.get("src")) }) # Daily daily = [] for col in soup.select(".ik.daily-forecast-container .ik.dailyForecastCol")[:15]: dow = col.select_one(".ik.dfDay") daynum = col.select_one(".ik.dfDayNum") icon = col.select_one("img.ik.forecast-icon") tmax = col.select_one("div.ik.max") tmin = col.select_one("div.ik.min") # Fallback for holiday layout v_tmax, v_tmin = None, None if tmax and tmin: v_tmax = _to_float(tmax.get_text(strip=True)) v_tmin = _to_float(tmin.get_text(strip=True)) else: vals = [a.get_text(strip=True) for a in col.select(".ik.min-max-container a")] vals = [v for v in vals if re.fullmatch(r"-?\d+", v)] if len(vals) >= 2: v_tmax, v_tmin = _to_float(vals[0]), _to_float(vals[1]) if v_tmax is not None and v_tmin is not None: daily.append({ "daynum": daynum.get_text(strip=True) if daynum else "", "dow": dow.get_text(strip=True) if dow else "", "tmin_c": v_tmin, "tmax_c": v_tmax, "icon_url": _abs_url(icon.get("src") if icon else None), }) daily = _calculate_gradient_data(daily[:5]) return { "source": {"name": SOURCE_NAME, "url": IDOKEP_URL}, "location": {"name": PLACE_NAME}, "current": { "temp_c": _to_float(cur_temp_el.get_text(strip=True)) if cur_temp_el else 0, "condition": cur_cond_el.get_text(strip=True) if cur_cond_el else "", "icon_url": _abs_url(cur_icon_el.get("src")) if cur_icon_el else "" }, "hourly": hourly, "daily": daily, "fetched_at_unix": int(time.time()), } except Exception as e: print(f"Scrape error: {e}") raise @APP.get("/api") def api(): status = "ok" try: data = scrape() except: status = "error" SCRAPES.labels(place=PLACE_NAME, status=status).inc() raise SCRAPES.labels(place=PLACE_NAME, status=status).inc() import json return Response(content=json.dumps(data, ensure_ascii=False), media_type="application/json; charset=utf-8") @APP.get("/metrics") def metrics(): return Response(generate_latest(), media_type=CONTENT_TYPE_LATEST) # ------------------------- # Tandoor "Meal of the Day" # ------------------------- from datetime import datetime, timezone from zoneinfo import ZoneInfo from urllib.parse import urlencode from fastapi import HTTPException, Query from fastapi.responses import RedirectResponse import json import random from pathlib import Path TANDOOR_INTERNAL_URL = os.getenv("TANDOOR_INTERNAL_URL", "").rstrip("/") TANDOOR_PUBLIC_URL = os.getenv("TANDOOR_PUBLIC_URL", "").rstrip("/") GLANCE_HELPER_PUBLIC_URL = os.getenv("GLANCE_HELPER_PUBLIC_URL", "").rstrip("/") GLANCE_HELPER_KEY = os.getenv("GLANCE_HELPER_KEY", "") DATA_DIR = Path(os.getenv("DATA_DIR", "/data")) DATA_DIR.mkdir(parents=True, exist_ok=True) COOKED_PATH = DATA_DIR / "tandoor-cooked.json" PICKS_PATH = DATA_DIR / "tandoor-picks.json" def _today_str() -> str: """YYYY-MM-DD in Europe/Budapest if tzdata exists, else UTC.""" try: tz = ZoneInfo("Europe/Budapest") return datetime.now(tz).strftime("%Y-%m-%d") except Exception: return datetime.now(timezone.utc).strftime("%Y-%m-%d") def _load_json(path: Path, default): try: if path.exists(): return json.loads(path.read_text(encoding="utf-8")) except Exception: pass return default def _save_json(path: Path, obj) -> None: tmp = path.with_suffix(path.suffix + ".tmp") tmp.write_text(json.dumps(obj, ensure_ascii=False, indent=2), encoding="utf-8") tmp.replace(path) def _tandoor_headers(): token = os.getenv("TANDOOR_TOKEN", "") if not token: raise HTTPException(status_code=500, detail="TANDOOR_TOKEN is not set") return {"Authorization": f"Bearer {token}", "Accept": "application/json"} def _rewrite_to_public(url: str) -> str: """Turn internal URLs into public ones (images/links).""" if not url: return url if TANDOOR_PUBLIC_URL and TANDOOR_INTERNAL_URL and url.startswith(TANDOOR_INTERNAL_URL): return TANDOOR_PUBLIC_URL + url[len(TANDOOR_INTERNAL_URL):] return url def _fetch_all_recipes() -> list[dict]: if not TANDOOR_INTERNAL_URL: raise HTTPException(status_code=500, detail="TANDOOR_INTERNAL_URL is not set") # Prefer paginated /api/recipe/ url = f"{TANDOOR_INTERNAL_URL}/api/recipe/?page_size=200" out = [] for _ in range(100): # safety r = requests.get(url, headers=_tandoor_headers(), timeout=15) if r.status_code != 200: raise HTTPException(status_code=502, detail=f"Tandoor returned {r.status_code}: {r.text[:200]}") j = r.json() results = j.get("results", []) out.extend(results) url = j.get("next") if not url: break # `next` may be absolute internal URL already; keep as-is. return out def _compute_daily_picks(count: int) -> dict: today = _today_str() cooked = _load_json(COOKED_PATH, {}) cooked_today = set(cooked.get(today, [])) picks_doc = _load_json(PICKS_PATH, {}) if picks_doc.get("date") == today and isinstance(picks_doc.get("ids"), list) and picks_doc.get("count") == count: return picks_doc # stable for the day recipes = _fetch_all_recipes() # Make a stable deterministic base random seed once, but still "true daily random": # created once per day and stored. available = [r for r in recipes if r.get("id") not in cooked_today] if not available: available = recipes[:] # fallback: if everything cooked, ignore filter chosen = random.sample(available, k=min(count, len(available))) if available else [] picks_doc = {"date": today, "count": count, "ids": [r.get("id") for r in chosen if r.get("id") is not None]} _save_json(PICKS_PATH, picks_doc) return picks_doc def _build_items_from_ids(ids: list[int]) -> tuple[list[dict], int]: recipes = _fetch_all_recipes() by_id = {r.get("id"): r for r in recipes if r.get("id") is not None} items = [] for rid in ids: r = by_id.get(rid) if not r: continue img = _rewrite_to_public(r.get("image") or "") url = f"{TANDOOR_PUBLIC_URL}/recipe/{rid}" if TANDOOR_PUBLIC_URL else "" cook_params = {"id": rid} if GLANCE_HELPER_KEY: cook_params["key"] = GLANCE_HELPER_KEY cook_url = f"{GLANCE_HELPER_PUBLIC_URL}/tandoor/cook?{urlencode(cook_params)}" if GLANCE_HELPER_PUBLIC_URL else "" items.append({"id": rid, "name": r.get("name") or "", "image": img, "url": url, "cook_url": cook_url}) return items, len(recipes) @APP.get("/tandoor/daily") def tandoor_daily(count: int = Query(3, ge=1, le=10)): picks_doc = _compute_daily_picks(count) ids = picks_doc.get("ids", []) items, total = _build_items_from_ids(ids) return {"date": picks_doc.get("date"), "total_recipes": total, "items": items} @APP.get("/tandoor/cook") def tandoor_cook(id: int, key: str | None = None, redirect: str | None = None): if GLANCE_HELPER_KEY and key != GLANCE_HELPER_KEY: raise HTTPException(status_code=403, detail="Invalid key") today = _today_str() cooked = _load_json(COOKED_PATH, {}) cooked_today = set(cooked.get(today, [])) cooked_today.add(id) cooked[today] = sorted(list(cooked_today)) _save_json(COOKED_PATH, cooked) # Remove from today's picks and try to refill to keep count picks = _load_json(PICKS_PATH, {}) if picks.get("date") == today and isinstance(picks.get("ids"), list): ids = [x for x in picks["ids"] if x != id] target = int(picks.get("count") or len(ids)) if len(ids) < target: recipes = _fetch_all_recipes() avoid = set(ids) | cooked_today candidates = [r.get("id") for r in recipes if r.get("id") is not None and r.get("id") not in avoid] if candidates: ids.append(random.choice(candidates)) picks["ids"] = ids[:target] _save_json(PICKS_PATH, picks) if redirect: return RedirectResponse(url=redirect, status_code=302) return {"ok": True, "date": today, "cooked": id} --- apiVersion: apps/v1 kind: Deployment metadata: annotations: argocd.argoproj.io/tracking-id: glance:apps/Deployment:glance-system/glance-helper deployment.kubernetes.io/revision: "9" reloader.stakater.com/auto: "true" name: glance-helper namespace: glance-system spec: progressDeadlineSeconds: 600 replicas: 1 revisionHistoryLimit: 10 selector: matchLabels: app: glance-helper strategy: type: Recreate template: metadata: creationTimestamp: null labels: app: glance-helper app.kubernetes.io/name: glance-helper spec: containers: - args: - |- set -eux; export DEBIAN_FRONTEND=noninteractive; apt-get update; apt-get install -y --no-install-recommends curl ca-certificates iputils-ping dnsutils tzdata net-tools; rm -rf /var/lib/apt/lists/*; pip install --no-cache-dir fastapi uvicorn requests beautifulsoup4 prometheus-client; python -c "import uvicorn; uvicorn.run('app:APP', host='0.0.0.0', port=8000)" command: - /bin/sh - -lc env: - name: STAKATER_GLANCE_HELPER_APP_CONFIGMAP value: c6e34df8429997db4bd9c1b119c5a6f1e2337ecb - name: IDOKEP_URL value: https://www.idokep.hu/idojaras/Budapest%20VII.%20ker - name: PLACE_NAME value: Budapest VII. ker - name: TANDOOR_INTERNAL_URL value: http://tandoor.tandoor-system.svc.cluster.local:8080 - name: TANDOOR_PUBLIC_URL value: https://tandoor.dooplex.hu - name: TANDOOR_TOKEN value: tda_8a8b169c_5d1f_4962_83a2_0f2719c7d61a - name: GLANCE_HELPER_PUBLIC_URL value: https://glance-helper.dooplex.hu - name: DATA_DIR value: /data - name: GLANCE_HELPER_KEY value: oplQqnLnJK2vErRVYJpvVUcSDBOSbCHZSbsYY2bwSifgTMfT - name: TZ value: Europe/Budapest image: python:3.12-bookworm imagePullPolicy: IfNotPresent name: glance-helper ports: - containerPort: 8000 protocol: TCP resources: {} terminationMessagePath: /dev/termination-log terminationMessagePolicy: File volumeMounts: - mountPath: /app name: app - mountPath: /data name: data workingDir: /app dnsPolicy: ClusterFirst restartPolicy: Always schedulerName: default-scheduler securityContext: {} terminationGracePeriodSeconds: 30 volumes: - configMap: defaultMode: 420 name: glance-helper-app name: app - name: data persistentVolumeClaim: claimName: glance-helper-data --- apiVersion: v1 kind: Service metadata: name: glance-helper namespace: glance-system spec: selector: app.kubernetes.io/name: glance-helper ports: - name: http port: 8000 targetPort: 8000 --- apiVersion: v1 kind: Service metadata: name: idokep-scraper namespace: glance-system spec: selector: app.kubernetes.io/name: glance-helper ports: - name: http port: 8000 targetPort: 8000 --- apiVersion: networking.k8s.io/v1 kind: Ingress metadata: name: glance-helper namespace: glance-system annotations: cert-manager.io/cluster-issuer: letsencrypt-prod external-dns.alpha.kubernetes.io/hostname: glance-helper.dooplex.hu nginx.ingress.kubernetes.io/ssl-redirect: "true" spec: ingressClassName: nginx-internal rules: - host: glance-helper.dooplex.hu http: paths: - path: / pathType: Prefix backend: service: name: glance-helper port: number: 8000 tls: - hosts: - glance-helper.dooplex.hu secretName: glance-helper-tls