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 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") # Metrics 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(maybe_relative: Optional[str]) -> Optional[str]: if not maybe_relative: return None if maybe_relative.startswith("http"): return maybe_relative return "https://www.idokep.hu" + maybe_relative def _to_float(s: str) -> Optional[float]: if not s: return None s = s.strip().replace("˚C", "").replace("°C", "").replace("°", "").replace(",", ".") try: return float(s) except Exception: return None def _calculate_gradient_data(daily_items: List[Dict[str, Any]]) -> List[Dict[str, Any]]: """ Enhances daily items with pre-calculated CSS styles for the temperature bars. """ if not daily_items: return daily_items # 1. Find Global Min/Max for the week # We assume the API returns valid floats in tmin_c/tmax_c 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) g_max = max(maxs) # Add a small visual buffer (e.g., 1 degree) so bars don't hit the exact edges g_min -= 1.0 g_max += 1.0 span = g_max - g_min if span <= 0: span = 1.0 # 2. Calculate Gradient Stops relative to this week's range # Formula: (TargetTemp - GlobalMin) / Span * 100 def get_pos(temp): return (temp - g_min) / span * 100.0 # Define the fixed color points stops = [ (-10, "#ffffff"), # White below -10 (0, "#60a5fa"), # Blue at 0 (15, "#a78bfa"), # Purple at 15 (25, "#fb7185"), # Pink/Red transition at 25 (35, "#ef4444"), # Red at 35 ] # Build the linear-gradient string grad_parts = [] for temp, color in stops: pos = get_pos(temp) grad_parts.append(f"{color} {pos:.1f}%") grad_string = f"linear-gradient(90deg, {', '.join(grad_parts)})" # 3. Calculate positioning for each day for d in daily_items: tmin = d["tmin_c"] tmax = d["tmax_c"] if tmin is None or tmax is None: continue # Bar position relative to track (0-100%) left_pct = (tmin - g_min) / span * 100.0 width_pct = (tmax - tmin) / span * 100.0 if width_pct < 1: width_pct = 1 # Minimum width visibility # Inner Gradient Logic: # The inner div needs to be exactly as wide as the PARENT track. # If the bar is width W% (relative to track), the inner div needs to be (100/W)% relative to bar. # It also needs to be shifted left by L% (relative to track), which is -(L/W)% relative to bar. inner_w_pct = (100.0 / width_pct) * 100.0 inner_l_pct = -(left_pct / width_pct) * 100.0 d["bar_style"] = f"left: {left_pct:.1f}%; width: {width_pct:.1f}%;" d["grad_style"] = f"width: {inner_w_pct:.1f}%; margin-left: {inner_l_pct:.1f}%; background: {grad_string};" return daily_items def scrape() -> Dict[str, Any]: headers = {"User-Agent": UA} r = requests.get(IDOKEP_URL, headers=headers, timeout=15) r.raise_for_status() soup = BeautifulSoup(r.text, "html.parser") # Current Data cur_temp_el = soup.select_one(".current-temperature") cur_cond_el = soup.select_one(".current-weather") cur_icon_el = soup.select_one(".forecast-bigicon") cur_temp = _to_float(cur_temp_el.get_text(strip=True) if cur_temp_el else "") cur_cond = cur_cond_el.get_text(strip=True) if cur_cond_el else "" cur_icon = _abs_url(cur_icon_el.get("src") if cur_icon_el else None) # Hourly hourly = [] for card in soup.select(".ik.hourly-forecast-card")[:8]: t_el = card.select_one(".ik.hourly-forecast-hour") temp_el = card.select_one(".ik.temperature-circled") icon_el = card.select_one("img.ik.forecast-icon") t = t_el.get_text(strip=True) if t_el else "" temp = _to_float(temp_el.get_text(strip=True) if temp_el else "") icon = _abs_url(icon_el.get("src") if icon_el else None) if t and temp is not None: hourly.append({"time": t, "temp_c": temp, "icon_url": icon}) # Daily daily = [] for col in soup.select(".ik.daily-forecast-container .ik.dailyForecastCol")[:15]: dow_el = col.select_one(".ik.dfDay") icon_el = col.select_one("img.ik.forecast-icon") daynum_el = col.select_one(".ik.dfDayNum") tmax_el = col.select_one("div.ik.max") tmin_el = col.select_one("div.ik.min") tmax = _to_float(tmax_el.get_text(strip=True) if tmax_el else "") tmin = _to_float(tmin_el.get_text(strip=True) if tmin_el else "") # Fallback for "Vacation/Holiday" styling where selectors differ if tmax is None or tmin is None: vals = [] for a in col.select(".ik.min-max-container a"): txt = a.get_text(strip=True) if re.fullmatch(r"-?\d+", txt or ""): vals.append(txt) if len(vals) >= 2: tmax = _to_float(vals[0]) tmin = _to_float(vals[1]) if (tmin is not None) and (tmax is not None): daily.append({ "daynum": daynum_el.get_text(strip=True) if daynum_el else "", "dow": dow_el.get_text(strip=True) if dow_el else "", "tmin_c": tmin, "tmax_c": tmax, "icon_url": _abs_url(icon_el.get("src") if icon_el else None), }) daily = daily[:5] # --- NEW: Calculate Gradient CSS in Python --- daily = _calculate_gradient_data(daily) # --------------------------------------------- return { "source": {"name": SOURCE_NAME, "url": IDOKEP_URL}, "location": {"name": PLACE_NAME}, "current": {"temp_c": cur_temp, "condition": cur_cond, "icon_url": cur_icon}, "hourly": hourly, "daily": daily, "fetched_at_unix": int(time.time()), } @APP.get("/api") def api(): # Standard API endpoint logic... status = "ok" try: data = scrape() except Exception as e: status = "error" print(f"Error scraping: {e}") raise # Prometheus Metrics update (simplified for brevity) 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