Perf: 9 Performance-Fixes — SW by-v1072
Backend: - DB: 3 neue Indizes (forum_posts thread+user, routes user) — Forum/Routen-Queries - Caching: cache.py (TTL-Cache ohne neue Dependency) für 5 statische Listen (training_exercises, pflege_tipps, wiki_stats, wiki_gruppen, help_articles) - diary.py + breeder_photos.py: Bildverarbeitung (ffmpeg/PIL/EXIF) per run_in_executor → blockiert Event-Loop nicht mehr - scheduler.py: 11 kollidierende Jobs auf 5-Min-Intervalle gestaggert, coalesce=True - social.py: ORDER BY RANDOM() ohne LIMIT in 2 Stellen gefixt - alerts.py: Haversine-Loop bekommt SQL-Bounding-Box-Vorfilter Frontend: - sw.js: Tile-Cache mit LRU-Eviction (max 500 Einträge) - admin.js: Event-Listener-Leak — Tab-Klicks per Delegation statt N Listener - api.js: compressImage() Helper — Client-seitiges Resize auf max 2000px (HEIC/Videos/<500KB unverändert), integriert in 8 Upload-Stellen (diary, dog-profile×2, walks, poison, lost, health×2) Bump APP_VER 1071 → 1072 (sw.js, app.js, main.py, index.html)
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commit
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23 changed files with 461 additions and 120 deletions
103
backend/cache.py
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103
backend/cache.py
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@ -0,0 +1,103 @@
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"""BAN YARO — In-Memory TTL-Cache für statische DB-Daten.
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Hintergrund:
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Routes wie /api/training/exercises, /api/help, /api/wiki/stats laden bei
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jedem Request statische Daten aus der DB. Das ist verschwendete Energie.
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Diese Daten ändern sich nur durch Admin-Aktionen.
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Verwendung:
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from cache import ttl_cache
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@ttl_cache(ttl=3600)
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def my_func(arg1, arg2):
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...
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API:
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@ttl_cache(ttl=3600) Decorator – cached pro Argumenten-Signatur
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my_func.cache_clear() Komplett leeren (z.B. nach Admin-Update)
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Hinweis:
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Diese Implementierung ist absichtlich klein und ohne externe Dependency
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(kein cachetools nötig). Thread-safe via Lock. Reicht für Read-Only-
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Listen, die sich selten ändern. Niemals für user-spezifische Daten
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verwenden!
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"""
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from __future__ import annotations
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import functools
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import threading
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import time
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from typing import Any, Callable
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def ttl_cache(ttl: int = 3600, maxsize: int = 128) -> Callable:
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"""Decorator: cached Rückgabewert pro Argumenten-Signatur für `ttl` Sek.
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- ttl: Time-to-live in Sekunden (Default: 1 Stunde)
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- maxsize: max. Anzahl Einträge im Cache (FIFO-Eviction bei Überlauf)
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Die dekorierte Funktion bekommt zusätzlich:
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.cache_clear() – leert den gesamten Cache
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.cache_info() – {hits, misses, size, ttl, maxsize}
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"""
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def decorator(func: Callable) -> Callable:
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store: dict[tuple, tuple[float, Any]] = {}
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lock = threading.Lock()
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stats = {"hits": 0, "misses": 0}
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def _make_key(args: tuple, kwargs: dict) -> tuple:
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# kwargs als sortiertes Tuple in den Key packen
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if kwargs:
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return args + tuple(sorted(kwargs.items()))
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return args
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@functools.wraps(func)
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def wrapper(*args, **kwargs):
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key = _make_key(args, kwargs)
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now = time.monotonic()
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with lock:
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cached = store.get(key)
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if cached is not None:
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expires_at, value = cached
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if expires_at > now:
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stats["hits"] += 1
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return value
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# abgelaufen → raus
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del store[key]
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stats["misses"] += 1
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# Außerhalb des Locks ausführen (kann DB-Calls machen)
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value = func(*args, **kwargs)
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with lock:
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# FIFO-Eviction, wenn maxsize überschritten
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if len(store) >= maxsize:
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try:
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oldest_key = next(iter(store))
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del store[oldest_key]
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except StopIteration:
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pass
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store[key] = (now + ttl, value)
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return value
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def cache_clear() -> None:
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with lock:
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store.clear()
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stats["hits"] = 0
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stats["misses"] = 0
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def cache_info() -> dict:
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with lock:
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return {
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"hits": stats["hits"],
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"misses": stats["misses"],
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"size": len(store),
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"ttl": ttl,
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"maxsize": maxsize,
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}
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wrapper.cache_clear = cache_clear # type: ignore[attr-defined]
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wrapper.cache_info = cache_info # type: ignore[attr-defined]
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return wrapper
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return decorator
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@ -180,6 +180,8 @@ def init_db():
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anz_bewertungen INTEGER DEFAULT 0,
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created_at TEXT NOT NULL DEFAULT (datetime('now'))
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);
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CREATE INDEX IF NOT EXISTS idx_routes_user ON routes(user_id, created_at DESC);
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CREATE TABLE IF NOT EXISTS route_walks (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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user_id INTEGER NOT NULL REFERENCES users(id) ON DELETE CASCADE,
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@ -272,6 +274,8 @@ def init_db():
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created_at TEXT NOT NULL DEFAULT (datetime('now')),
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edited_at TEXT
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);
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CREATE INDEX IF NOT EXISTS idx_forum_posts_thread ON forum_posts(thread_id, created_at ASC);
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CREATE INDEX IF NOT EXISTS idx_forum_posts_user ON forum_posts(user_id, created_at DESC);
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-- PUSH SUBSCRIPTIONS (alternativ zu users.push_sub für mehrere Geräte)
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CREATE TABLE IF NOT EXISTS push_subscriptions (
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@ -410,7 +410,7 @@ async def serve_media(path: str, request: _Request):
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raise _HE(404, "Nicht gefunden.")
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return _media_response(filepath)
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APP_VER = "1071" # muss mit APP_VER in app.js übereinstimmen
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APP_VER = "1072" # muss mit APP_VER in app.js übereinstimmen
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@app.get("/.well-known/assetlinks.json")
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async def assetlinks():
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@ -9,6 +9,7 @@ from auth import get_current_user_optional as get_optional_user
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router = APIRouter()
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_RADIUS_M = 20_000 # 20 km
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_RADIUS_KM = _RADIUS_M / 1000.0
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def _haversine(lat1: float, lon1: float, lat2: float, lon2: float) -> float:
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@ -20,15 +21,36 @@ def _haversine(lat1: float, lon1: float, lat2: float, lon2: float) -> float:
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return 2 * R * math.asin(math.sqrt(a))
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def _bbox(lat: float, lon: float, radius_km: float) -> tuple[float, float, float, float]:
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"""Bounding-Box-Approximation für lat/lon innerhalb radius_km."""
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lat_delta = radius_km / 111.0
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# cos darf bei Polen nicht 0 werden → mit kleinem Minimum absichern
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cos_lat = max(abs(math.cos(math.radians(lat))), 0.01)
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lon_delta = radius_km / (111.0 * cos_lat)
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return (lat - lat_delta, lat + lat_delta, lon - lon_delta, lon + lon_delta)
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@router.get("")
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async def nearby_alerts(lat: float, lon: float, user=Depends(get_optional_user)):
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now = datetime.utcnow().isoformat()
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lat_min, lat_max, lon_min, lon_max = _bbox(lat, lon, _RADIUS_KM)
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with db() as conn:
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# Bounding-Box-Vorfilter per SQL (billig) → reduziert die Kandidaten
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# auf ~10 Einträge statt "alle". Die exakte Haversine-Prüfung passiert
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# anschließend in Python.
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poisons = conn.execute(
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"SELECT lat, lon FROM poison WHERE geloest=0 AND expires_at > ?", (now,)
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"""SELECT lat, lon FROM poison
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WHERE geloest=0 AND expires_at > ?
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AND lat BETWEEN ? AND ?
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AND lon BETWEEN ? AND ?""",
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(now, lat_min, lat_max, lon_min, lon_max)
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).fetchall()
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lost = conn.execute(
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"SELECT lat, lon FROM lost_dogs WHERE is_active=1"
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"""SELECT lat, lon FROM lost_dogs
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WHERE is_active=1
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AND lat BETWEEN ? AND ?
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AND lon BETWEEN ? AND ?""",
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(lat_min, lat_max, lon_min, lon_max)
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).fetchall()
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# Letzten Standort des Users für geo-basierte Push-Filter speichern
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if user:
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@ -3,7 +3,7 @@ from fastapi import APIRouter, Depends, HTTPException, UploadFile, File, Form
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from fastapi.responses import FileResponse
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from pydantic import BaseModel
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from typing import Optional
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import os, logging
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import os, logging, asyncio
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from database import db
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from auth import get_current_user, get_current_user_optional
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from media_utils import validate_upload, generate_preview
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@ -112,27 +112,37 @@ async def upload_photo(
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file_uuid = str(uuid.uuid4())
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file_path = os.path.join(save_dir, f"{file_uuid}.webp")
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# Blockierende Bildverarbeitung in Threadpool auslagern,
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# damit der Event-Loop für andere Requests frei bleibt.
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loop = asyncio.get_event_loop()
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def _write_bytes(p: str, data: bytes) -> None:
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with open(p, "wb") as f:
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f.write(data)
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# Thumbnail erzeugen
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thumb_bytes = generate_preview(raw_data, ext)
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thumb_bytes = await loop.run_in_executor(
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None, lambda: generate_preview(raw_data, ext)
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)
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thumb_path = None
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if thumb_bytes:
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thumb_path = os.path.join(save_dir, f"{file_uuid}_thumb.webp")
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with open(thumb_path, "wb") as f:
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f.write(thumb_bytes)
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await loop.run_in_executor(None, lambda: _write_bytes(thumb_path, thumb_bytes))
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# Originalbild konvertieren und speichern
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# generate_preview liefert WebP, für das Original nehmen wir Pillow direkt
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try:
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import io
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from PIL import Image, ImageOps
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img = Image.open(io.BytesIO(raw_data))
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img = ImageOps.exif_transpose(img)
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img = img.convert("RGB")
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img.save(file_path, format="WEBP", quality=85)
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except Exception:
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# Fallback: Rohdaten speichern
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with open(file_path, "wb") as f:
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f.write(raw_data)
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# Originalbild konvertieren und speichern (Pillow direkt — WebP-Qualität 85)
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def _save_original():
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try:
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import io
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from PIL import Image, ImageOps
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img = Image.open(io.BytesIO(raw_data))
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img = ImageOps.exif_transpose(img)
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img = img.convert("RGB")
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img.save(file_path, format="WEBP", quality=85)
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except Exception:
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# Fallback: Rohdaten speichern
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_write_bytes(file_path, raw_data)
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await loop.run_in_executor(None, _save_original)
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# Relative Pfade für DB (relativ zu MEDIA_DIR)
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rel_file = os.path.relpath(file_path, MEDIA_DIR)
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@ -1,6 +1,6 @@
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"""BAN YARO — Tagebuch Routes"""
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import os, uuid, json, math, logging
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import os, uuid, json, math, logging, asyncio
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from fastapi import APIRouter, Depends, HTTPException, UploadFile, File
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from pydantic import BaseModel
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from typing import Optional
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@ -684,7 +684,13 @@ async def upload_media(dog_id: int, entry_id: int,
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validate_upload(raw_data, file.filename or "")
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except ValueError as e:
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raise HTTPException(415, str(e))
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raw_data, ext = convert_media(raw_data, file.filename or "")
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# Blockierende Bild-/Video-Konvertierung in Threadpool auslagern,
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# damit der Event-Loop für andere Requests frei bleibt.
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loop = asyncio.get_event_loop()
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raw_data, ext = await loop.run_in_executor(
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None, lambda: convert_media(raw_data, file.filename or "")
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)
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if not ext:
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ext = ".jpg"
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filename = f"diary_{entry_id}_{uuid.uuid4().hex[:8]}{ext}"
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@ -692,17 +698,21 @@ async def upload_media(dog_id: int, entry_id: int,
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media_type = _guess_media_type(ct, file.filename or "")
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os.makedirs(os.path.dirname(path), exist_ok=True)
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with open(path, "wb") as f:
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f.write(raw_data)
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def _write_bytes(p: str, data: bytes) -> None:
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with open(p, "wb") as f:
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f.write(data)
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await loop.run_in_executor(None, lambda: _write_bytes(path, raw_data))
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if media_type == "video":
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extract_video_thumb(path)
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await loop.run_in_executor(None, lambda: extract_video_thumb(path))
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elif media_type == "image":
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preview_bytes = generate_preview(raw_data, ext)
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preview_bytes = await loop.run_in_executor(
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None, lambda: generate_preview(raw_data, ext)
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)
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if preview_bytes:
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preview_path = os.path.splitext(path)[0] + "_preview.webp"
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with open(preview_path, "wb") as f:
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f.write(preview_bytes)
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await loop.run_in_executor(None, lambda: _write_bytes(preview_path, preview_bytes))
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media_url = f"/media/diary/{filename}"
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@ -710,8 +720,8 @@ async def upload_media(dog_id: int, entry_id: int,
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exif_gps = None
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img_size = None
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if media_type == "image":
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exif_gps = extract_gps_from_exif(raw_data)
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img_size = get_image_size(raw_data)
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exif_gps = await loop.run_in_executor(None, lambda: extract_gps_from_exif(raw_data))
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img_size = await loop.run_in_executor(None, lambda: get_image_size(raw_data))
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with db() as conn:
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# sort_order = nächste freie Position
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@ -9,6 +9,20 @@ from database import db
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from auth import get_current_user, has_pro_access
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from routes.push import send_push_to_user
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from media_utils import safe_media_path, preview_url_from
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from cache import ttl_cache
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# ------------------------------------------------------------------
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# Pflege-Tipps sind statische Stamm-Daten → 1h TTL-Cache
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# (Filterung pro Hund passiert weiter unten in-memory, NICHT gecached)
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# ------------------------------------------------------------------
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@ttl_cache(ttl=3600)
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def _load_all_pflege_tipps() -> list[dict]:
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with db() as conn:
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rows = conn.execute(
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"SELECT * FROM pflege_tipps ORDER BY kategorie, titel"
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).fetchall()
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return [dict(r) for r in rows]
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router = APIRouter()
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MEDIA_DIR = os.getenv("MEDIA_DIR", "/data/media")
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@ -1095,10 +1109,8 @@ async def get_pflege_tipps(dog_id: int, user=Depends(get_current_user)):
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elif any(w in beschr for w in ["schneid", "geschoren", "schere", "clipper"]):
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fell_pflege_art_filter = "schneiden"
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with db() as conn:
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alle_tipps = conn.execute(
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"SELECT * FROM pflege_tipps ORDER BY kategorie, titel"
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).fetchall()
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# Statische Tipps aus Cache (1h TTL) – Filterung passiert in-memory
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alle_tipps = _load_all_pflege_tipps()
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# Relevante Tipps: kein Fell-Filter oder passend
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from datetime import date
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@ -5,10 +5,28 @@ from pydantic import BaseModel
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from typing import Optional
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from database import db
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from auth import get_current_user_optional, require_admin
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from cache import ttl_cache
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router = APIRouter()
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# ------------------------------------------------------------------
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# Öffentliche, aktive FAQ-Liste – statisch, 1h TTL-Cache.
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# Admin-Pfad (?all=1) wird NICHT gecached.
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# Wird bei jedem schreibenden Admin-Endpoint unten invalidiert.
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# ------------------------------------------------------------------
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@ttl_cache(ttl=3600)
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def _load_active_help_articles() -> list[dict]:
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with db() as conn:
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rows = conn.execute(
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"SELECT id, kategorie, frage, antwort, sort_order, aktiv "
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"FROM help_articles "
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"WHERE aktiv = 1 "
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"ORDER BY kategorie, sort_order, id"
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).fetchall()
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return [dict(r) for r in rows]
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# ------------------------------------------------------------------
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# Schemas
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# ------------------------------------------------------------------
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@ -39,22 +57,17 @@ def get_help(
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is_admin = user and user.get("rolle") == "admin"
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show_all = all == 1 and is_admin
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with db() as conn:
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if show_all:
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if show_all:
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with db() as conn:
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rows = conn.execute(
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"SELECT id, kategorie, frage, antwort, sort_order, aktiv "
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"FROM help_articles "
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"ORDER BY kategorie, sort_order, id"
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).fetchall()
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else:
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rows = conn.execute(
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"SELECT id, kategorie, frage, antwort, sort_order, aktiv "
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"FROM help_articles "
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"WHERE aktiv = 1 "
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"ORDER BY kategorie, sort_order, id"
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).fetchall()
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return [dict(r) for r in rows]
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return [dict(r) for r in rows]
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# Öffentliche, aktive Artikel kommen aus dem Cache
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return _load_active_help_articles()
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# ------------------------------------------------------------------
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@ -68,6 +81,7 @@ def create_article(body: ArticleCreate, admin=Depends(require_admin)):
|
|||
"VALUES (?, ?, ?, ?, ?)",
|
||||
(body.kategorie, body.frage, body.antwort, body.sort_order, body.aktiv),
|
||||
)
|
||||
_load_active_help_articles.cache_clear()
|
||||
return {"ok": True, "id": cur.lastrowid}
|
||||
|
||||
|
||||
|
|
@ -85,6 +99,7 @@ def update_article(article_id: int, body: ArticleUpdate, admin=Depends(require_a
|
|||
f"UPDATE help_articles SET {set_clause} WHERE id=?",
|
||||
(*updates.values(), article_id),
|
||||
)
|
||||
_load_active_help_articles.cache_clear()
|
||||
return {"ok": True}
|
||||
|
||||
|
||||
|
|
@ -95,4 +110,5 @@ def update_article(article_id: int, body: ArticleUpdate, admin=Depends(require_a
|
|||
def delete_article(article_id: int, admin=Depends(require_admin)):
|
||||
with db() as conn:
|
||||
conn.execute("DELETE FROM help_articles WHERE id=?", (article_id,))
|
||||
_load_active_help_articles.cache_clear()
|
||||
return {"ok": True}
|
||||
|
|
|
|||
|
|
@ -1278,21 +1278,26 @@ except Exception:
|
|||
# ------------------------------------------------------------------
|
||||
@router.post("/training-tip")
|
||||
async def training_tip(user=Depends(require_social_media)):
|
||||
# Übung wählen die noch nicht als Social-Post verwendet wurde
|
||||
# Übung wählen die noch nicht als Social-Post verwendet wurde.
|
||||
# Per SQL: zuerst eine unbenutzte zufällig wählen, sonst Reset (irgendeine).
|
||||
with db() as conn:
|
||||
used = {r["exercise_id"] for r in conn.execute(
|
||||
"SELECT exercise_id FROM social_content WHERE exercise_id IS NOT NULL"
|
||||
).fetchall()}
|
||||
all_ex = conn.execute(
|
||||
"SELECT * FROM training_exercises ORDER BY RANDOM()"
|
||||
).fetchall()
|
||||
row = conn.execute(
|
||||
"""SELECT * FROM training_exercises
|
||||
WHERE exercise_id NOT IN (
|
||||
SELECT exercise_id FROM social_content WHERE exercise_id IS NOT NULL
|
||||
)
|
||||
ORDER BY RANDOM() LIMIT 1"""
|
||||
).fetchone()
|
||||
if not row:
|
||||
# Alle durch — Reset: irgendeine zufällige nehmen
|
||||
row = conn.execute(
|
||||
"SELECT * FROM training_exercises ORDER BY RANDOM() LIMIT 1"
|
||||
).fetchone()
|
||||
|
||||
unused = [e for e in all_ex if e["exercise_id"] not in used]
|
||||
pool = unused if unused else list(all_ex) # Reset wenn alle durch
|
||||
if not pool:
|
||||
if not row:
|
||||
raise HTTPException(404, "Keine Übungen gefunden.")
|
||||
|
||||
ex = dict(pool[0])
|
||||
ex = dict(row)
|
||||
stil = random.choice(_TRAINING_STILE)
|
||||
schritte_list = json.loads(ex["schritte"] or "[]")
|
||||
schritte_text = "\n".join(f" {i+1}. {s}" for i, s in enumerate(schritte_list[:4]))
|
||||
|
|
@ -1563,8 +1568,10 @@ async def pflege_tipp(breed_id: Optional[int] = None, user=Depends(require_socia
|
|||
(breed_id,),
|
||||
).fetchone()
|
||||
|
||||
# LIMIT 100 deckelt das Result-Set ab (Tabelle hat aktuell ~43 Einträge);
|
||||
# der Python-Filter unten braucht mehrere Kandidaten für Fell-Typ-Auswahl.
|
||||
tipps = conn.execute(
|
||||
"SELECT * FROM pflege_tipps ORDER BY RANDOM()"
|
||||
"SELECT * FROM pflege_tipps ORDER BY RANDOM() LIMIT 100"
|
||||
).fetchall()
|
||||
|
||||
# Noch nicht verwendete bevorzugen
|
||||
|
|
|
|||
|
|
@ -7,15 +7,16 @@ import datetime
|
|||
import ki
|
||||
from database import db
|
||||
from auth import get_current_user, require_admin
|
||||
from cache import ttl_cache
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Alle Übungen aus DB (öffentlich, kein Auth)
|
||||
# Statische Daten → 1h TTL-Cache. Wird in update_exercise() invalidiert.
|
||||
# ------------------------------------------------------------------
|
||||
@router.get("/exercises")
|
||||
async def get_exercises():
|
||||
"""Alle Übungen aus der DB, gruppiert nach Tab-ID."""
|
||||
@ttl_cache(ttl=3600)
|
||||
def _load_exercises_by_tab() -> dict:
|
||||
import json as _json
|
||||
CAT_TO_TAB = {
|
||||
'Grundkommando': 'grundkommandos',
|
||||
|
|
@ -33,7 +34,7 @@ async def get_exercises():
|
|||
dauer, beschreibung, schritte, tipp
|
||||
FROM training_exercises ORDER BY kategorie, name
|
||||
""").fetchall()
|
||||
by_tab = {}
|
||||
by_tab: dict = {}
|
||||
for r in rows:
|
||||
tab = CAT_TO_TAB.get(r['kategorie'], r['kategorie'].lower().replace(' ', '-'))
|
||||
by_tab.setdefault(tab, []).append({
|
||||
|
|
@ -50,6 +51,12 @@ async def get_exercises():
|
|||
})
|
||||
return by_tab
|
||||
|
||||
|
||||
@router.get("/exercises")
|
||||
async def get_exercises():
|
||||
"""Alle Übungen aus der DB, gruppiert nach Tab-ID (1h-Cache)."""
|
||||
return _load_exercises_by_tab()
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Admin: Übung bearbeiten (beschreibung / schritte / tipp)
|
||||
# ------------------------------------------------------------------
|
||||
|
|
@ -78,6 +85,8 @@ async def update_exercise(exercise_id: int, body: ExerciseUpdate, _=Depends(requ
|
|||
return {"ok": True, "updated": 0}
|
||||
vals.append(exercise_id)
|
||||
conn.execute(f"UPDATE training_exercises SET {', '.join(fields)} WHERE id=?", vals)
|
||||
# Cache invalidieren, damit der Admin-Edit sofort sichtbar wird
|
||||
_load_exercises_by_tab.cache_clear()
|
||||
return {"ok": True, "updated": len(fields)}
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
|
|
|
|||
|
|
@ -10,6 +10,7 @@ from pydantic import BaseModel
|
|||
from database import db
|
||||
from auth import get_current_user, get_current_user_optional
|
||||
from ratelimit import check as rl_check, block_ip
|
||||
from cache import ttl_cache
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
MEDIA_DIR = os.getenv("MEDIA_DIR", "/data/media")
|
||||
|
|
@ -81,16 +82,34 @@ def _quiz_score(rasse: dict, params: dict) -> int:
|
|||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# GET /api/wiki/stats — Seed-Status
|
||||
# GET /api/wiki/stats — Seed-Status (1h TTL-Cache, statische Anzahl)
|
||||
# ------------------------------------------------------------------
|
||||
@router.get("/stats")
|
||||
async def get_stats():
|
||||
@ttl_cache(ttl=3600)
|
||||
def _wiki_stats() -> dict:
|
||||
with db() as conn:
|
||||
row = conn.execute("SELECT COUNT(*) as total FROM wiki_rassen").fetchone()
|
||||
total = row["total"] if row else 0
|
||||
return {"total_breeds": total, "seeded": total > 0}
|
||||
|
||||
|
||||
@router.get("/stats")
|
||||
async def get_stats():
|
||||
return _wiki_stats()
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Gruppen-Liste für Filter-Dropdown – statisch, 1h TTL-Cache
|
||||
# ------------------------------------------------------------------
|
||||
@ttl_cache(ttl=3600)
|
||||
def _wiki_gruppen() -> list[str]:
|
||||
with db() as conn:
|
||||
rows = conn.execute(
|
||||
"SELECT DISTINCT gruppe FROM wiki_rassen "
|
||||
"WHERE gruppe IS NOT NULL ORDER BY gruppe"
|
||||
).fetchall()
|
||||
return [r["gruppe"] for r in rows]
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# GET /api/wiki/rassen — alle Rassen (Übersicht, paginiert)
|
||||
# ------------------------------------------------------------------
|
||||
|
|
@ -134,15 +153,13 @@ async def get_rassen(
|
|||
SELECT COUNT(*) as total FROM wiki_rassen {where}
|
||||
""", args).fetchone()
|
||||
|
||||
# Alle Gruppen für Filter-Dropdown
|
||||
gruppen_rows = conn.execute(
|
||||
"SELECT DISTINCT gruppe FROM wiki_rassen WHERE gruppe IS NOT NULL ORDER BY gruppe"
|
||||
).fetchall()
|
||||
# Alle Gruppen für Filter-Dropdown (gecached, 1h TTL)
|
||||
gruppen = _wiki_gruppen()
|
||||
|
||||
return {
|
||||
"breeds": [dict(r) for r in rows],
|
||||
"total": count_row["total"] if count_row else 0,
|
||||
"gruppen": [r["gruppe"] for r in gruppen_rows],
|
||||
"gruppen": gruppen,
|
||||
}
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -24,12 +24,19 @@ _job_log: dict = {}
|
|||
|
||||
|
||||
def start():
|
||||
# ------------------------------------------------------------------
|
||||
# Job-Staffelung in 5-Minuten-Intervallen — verhindert gleichzeitige
|
||||
# Last-Spitzen (mehrere Jobs zur selben Sekunde 08:00 Uhr).
|
||||
# coalesce=True: bei verpassten Läufen nur ein Lauf nachholen.
|
||||
# misfire_grace_time: Mindestwert 300s, höher wo Job lange dauern kann.
|
||||
# ------------------------------------------------------------------
|
||||
_scheduler.add_job(
|
||||
_job_health_reminders,
|
||||
CronTrigger(hour=8, minute=0), # täglich 08:00 Uhr
|
||||
id="health_reminders",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
_scheduler.add_job(
|
||||
_job_poison_archive,
|
||||
|
|
@ -37,6 +44,7 @@ def start():
|
|||
id="poison_archive",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
_scheduler.add_job(
|
||||
_job_weather_alert,
|
||||
|
|
@ -44,6 +52,7 @@ def start():
|
|||
id="weather_alert",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
_scheduler.add_job(
|
||||
_job_milestone_check,
|
||||
|
|
@ -51,6 +60,7 @@ def start():
|
|||
id="milestone_check",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
_scheduler.add_job(
|
||||
_job_import_events,
|
||||
|
|
@ -58,6 +68,7 @@ def start():
|
|||
id="import_events",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=7200,
|
||||
coalesce=True,
|
||||
)
|
||||
|
||||
# Einmalig beim Start (nach 10s Verzögerung) für sofortige Befüllung
|
||||
|
|
@ -68,29 +79,32 @@ def start():
|
|||
id="import_events_startup",
|
||||
replace_existing=True,
|
||||
)
|
||||
# Alle 4 Wochen Di 03:00 — Rassen aus TheDogAPI aktualisieren
|
||||
# 1. des Monats 03:00 — Rassen aus TheDogAPI aktualisieren
|
||||
_scheduler.add_job(
|
||||
_job_seed_breeds,
|
||||
CronTrigger(day=1, hour=3, minute=0), # 1. jedes Monats
|
||||
id="seed_breeds",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
# Alle 4 Wochen Di 04:00 — fehlende Rassen aus Wikidata ergänzen
|
||||
# 1. des Monats 04:00 — fehlende Rassen aus Wikidata ergänzen
|
||||
_scheduler.add_job(
|
||||
_job_seed_wikidata_breeds,
|
||||
CronTrigger(day=1, hour=4, minute=0), # 1. jedes Monats
|
||||
id="seed_wikidata",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
# Jeden Montag 09:00 — Wöchentlicher Fortschritts-Lober
|
||||
# Jeden Montag 09:05 — Wöchentlicher Fortschritts-Lober (staggered)
|
||||
_scheduler.add_job(
|
||||
_job_weekly_praise,
|
||||
CronTrigger(day_of_week='mon', hour=9, minute=0),
|
||||
CronTrigger(day_of_week='mon', hour=9, minute=5),
|
||||
id="weekly_praise",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
# Täglich 06:00 Uhr Status-Report per Mail
|
||||
_scheduler.add_job(
|
||||
|
|
@ -99,6 +113,7 @@ def start():
|
|||
id="status_report",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=1800,
|
||||
coalesce=True,
|
||||
)
|
||||
# Täglich 12:00 — Moderation-Overdue-Check
|
||||
_scheduler.add_job(
|
||||
|
|
@ -107,22 +122,25 @@ def start():
|
|||
id="moderation_overdue",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=1800,
|
||||
coalesce=True,
|
||||
)
|
||||
# 1. Feb / Mai / Aug / Nov 07:00 — Quartalsbericht
|
||||
# 1. Feb / Mai / Aug / Nov 07:10 — Quartalsbericht (staggered weg von 07:00)
|
||||
_scheduler.add_job(
|
||||
_job_quarterly_report,
|
||||
CronTrigger(month="2,5,8,11", day=1, hour=7, minute=0),
|
||||
CronTrigger(month="2,5,8,11", day=1, hour=7, minute=10),
|
||||
id="quarterly_report",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=7200,
|
||||
coalesce=True,
|
||||
)
|
||||
# Jeden Montag 07:00 — KI-Gesundheitsberichte (alle 2 Wochen)
|
||||
# Jeden Montag 07:05 — KI-Gesundheitsberichte (staggered weg von 07:00)
|
||||
_scheduler.add_job(
|
||||
_job_ki_health_report,
|
||||
CronTrigger(day_of_week='mon', hour=7, minute=0),
|
||||
CronTrigger(day_of_week='mon', hour=7, minute=5),
|
||||
id="ki_health_report",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
# Täglich 06:30 — Wiederkehrende Ausgaben anlegen
|
||||
_scheduler.add_job(
|
||||
|
|
@ -131,6 +149,7 @@ def start():
|
|||
id="recurring_expenses",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
# 1. des Monats 00:05 — Hund des Monats Sieger festlegen
|
||||
_scheduler.add_job(
|
||||
|
|
@ -139,6 +158,7 @@ def start():
|
|||
id="hdm_winner",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
# Täglich 19:00 Uhr — Streak-Erinnerung
|
||||
_scheduler.add_job(
|
||||
|
|
@ -147,22 +167,25 @@ def start():
|
|||
id="streak_reminder",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
# Täglich 08:00 Uhr — Tierfutter-Rückrufe prüfen (RASFF)
|
||||
# Täglich 08:05 Uhr — Tierfutter-Rückrufe prüfen (RASFF) (staggered weg von 08:00)
|
||||
_scheduler.add_job(
|
||||
_job_recall_check,
|
||||
CronTrigger(hour=8, minute=0),
|
||||
CronTrigger(hour=8, minute=5),
|
||||
id="recall_check",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
# Jeden Montag 08:00 Uhr — Neue Foto-Challenge anlegen
|
||||
# Jeden Montag 08:10 Uhr — Neue Foto-Challenge anlegen (staggered weg von 08:00)
|
||||
_scheduler.add_job(
|
||||
_job_new_foto_challenge,
|
||||
CronTrigger(day_of_week='mon', hour=8, minute=0),
|
||||
CronTrigger(day_of_week='mon', hour=8, minute=10),
|
||||
id="new_foto_challenge",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
# Täglich 07:00 Uhr — Goldene Gassi-Stunde
|
||||
_scheduler.add_job(
|
||||
|
|
@ -171,6 +194,7 @@ def start():
|
|||
id="golden_gassi_hour",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
# Täglich 09:00 Uhr — Jahrestags-Erinnerungen (Tagebuch-Einträge von heute vor X Jahren)
|
||||
_scheduler.add_job(
|
||||
|
|
@ -179,6 +203,7 @@ def start():
|
|||
id="anniversary_reminders",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
# 1. des Monats 10:00 — Monatlicher Rückblick per Push
|
||||
_scheduler.add_job(
|
||||
|
|
@ -187,13 +212,16 @@ def start():
|
|||
id="monthly_recap",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
# Täglich 03:15 — Abo-Ablauf prüfen (staggered weg von 03:00 poison_archive)
|
||||
_scheduler.add_job(
|
||||
_job_subscription_check,
|
||||
CronTrigger(hour=3, minute=0),
|
||||
CronTrigger(hour=3, minute=15),
|
||||
id="subscription_check",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
_scheduler.add_job(
|
||||
_job_invoice_reminder,
|
||||
|
|
@ -201,9 +229,10 @@ def start():
|
|||
id="invoice_reminder",
|
||||
replace_existing=True,
|
||||
misfire_grace_time=3600,
|
||||
coalesce=True,
|
||||
)
|
||||
_scheduler.start()
|
||||
logger.info("Scheduler gestartet — Health-Reminder 08:00, Giftköder-Archiv 03:00, Wetter-Alert 07:30, Meilenstein-Check 00:05, Event-Import So 02:00, Rassen-Seed monatlich 1. des Monats, Status-Report täglich 06:00, Moderation-Overdue 12:00, Quartalsbericht 1. Feb/Mai/Aug/Nov 07:00, Streak-Reminder 19:00, Rückruf-Check 08:00, Goldene-Gassi-Stunde 07:00, Jahrestags-Erinnerungen 09:00, Monatlicher-Rückblick 1. des Monats 10:00, Foto-Challenge Mo 08:00, Abo-Check 03:00. OSM-Cache: on-demand (kein Prewarm).")
|
||||
logger.info("Scheduler gestartet (gestaffelt) — Health-Reminder 08:00, Giftköder-Archiv 03:00, Wetter-Alert 07:30, Meilenstein-Check 00:05, Event-Import 1.+2./4./7./10. 02:00, Rassen-Seed 1. 03:00, Wikidata-Seed 1. 04:00, Status-Report 06:00, Moderation-Overdue 12:00, Quartalsbericht 1. Feb/Mai/Aug/Nov 07:10, KI-Gesundheitsbericht Mo 07:05, Streak-Reminder 19:00, Rückruf-Check 08:05, Goldene-Gassi-Stunde 07:00, Jahrestags-Erinnerungen 09:00, Monatlicher-Rückblick 1. 10:00, Foto-Challenge Mo 08:10, Weekly-Praise Mo 09:05, Abo-Check 03:15, Invoice-Reminder 08:30. OSM-Cache: on-demand (kein Prewarm).")
|
||||
|
||||
|
||||
def stop():
|
||||
|
|
|
|||
|
|
@ -101,9 +101,9 @@
|
|||
</script>
|
||||
|
||||
<!-- CSS: Reihenfolge ist wichtig — ?v= zwingt Browser zur Neuladung -->
|
||||
<link rel="stylesheet" href="/css/design-system.css?v=1071">
|
||||
<link rel="stylesheet" href="/css/layout.css?v=1071">
|
||||
<link rel="stylesheet" href="/css/components.css?v=1071">
|
||||
<link rel="stylesheet" href="/css/design-system.css?v=1072">
|
||||
<link rel="stylesheet" href="/css/layout.css?v=1072">
|
||||
<link rel="stylesheet" href="/css/components.css?v=1072">
|
||||
</head>
|
||||
<body>
|
||||
|
||||
|
|
@ -616,10 +616,10 @@
|
|||
<div id="modal-container"></div>
|
||||
|
||||
<!-- JS: Reihenfolge ist wichtig — erst Basis, dann Features -->
|
||||
<script src="/js/api.js?v=1071"></script>
|
||||
<script src="/js/ui.js?v=1071"></script>
|
||||
<script src="/js/app.js?v=1071"></script>
|
||||
<script src="/js/worlds.js?v=1071"></script>
|
||||
<script src="/js/api.js?v=1072"></script>
|
||||
<script src="/js/ui.js?v=1072"></script>
|
||||
<script src="/js/app.js?v=1072"></script>
|
||||
<script src="/js/worlds.js?v=1072"></script>
|
||||
|
||||
<!-- Feature-Seiten werden lazy geladen -->
|
||||
|
||||
|
|
|
|||
|
|
@ -814,9 +814,57 @@ const API = (() => {
|
|||
} catch {}
|
||||
}
|
||||
|
||||
// ----------------------------------------------------------
|
||||
// BILD-KOMPRESSION (Client-Side vor Upload)
|
||||
// ----------------------------------------------------------
|
||||
// iPhone-Fotos sind 4-12 MB — vor Upload auf max. 2000px / JPEG q=0.85
|
||||
// skalieren. HEIC/HEIF unverändert lassen (Browser-Canvas kann sie nicht
|
||||
// decoden, Backend hat eigene HEIC-Konvertierung). Nicht-Bilder unverändert.
|
||||
async function compressImage(file, maxSize = 2000, quality = 0.85) {
|
||||
try {
|
||||
if (!file || !(file instanceof File || file instanceof Blob)) return file;
|
||||
const type = (file.type || '').toLowerCase();
|
||||
if (!type.startsWith('image/')) return file;
|
||||
if (type === 'image/heic' || type === 'image/heif') return file;
|
||||
if (type === 'image/gif') return file; // GIF-Animation nicht kaputt skalieren
|
||||
if (file.size < 500_000) return file; // <500KB: lohnt sich nicht
|
||||
|
||||
const img = await createImageBitmap(file);
|
||||
try {
|
||||
const longest = Math.max(img.width, img.height);
|
||||
const scale = Math.min(1, maxSize / longest);
|
||||
// Nur skalieren wenn Bild wirklich größer ist; bei scale=1 trotzdem als JPEG
|
||||
// neu kodieren — spart bei iPhone-Originalen oft trotzdem viel (EXIF, weniger Qualität).
|
||||
const w = Math.round(img.width * scale);
|
||||
const h = Math.round(img.height * scale);
|
||||
|
||||
const canvas = document.createElement('canvas');
|
||||
canvas.width = w; canvas.height = h;
|
||||
const ctx = canvas.getContext('2d');
|
||||
if (!ctx) return file;
|
||||
ctx.drawImage(img, 0, 0, w, h);
|
||||
|
||||
const blob = await new Promise(res => canvas.toBlob(res, 'image/jpeg', quality));
|
||||
if (!blob || blob.size >= file.size) return file; // Kompression hat nichts gebracht
|
||||
|
||||
const newName = (file.name || 'photo.jpg').replace(/\.(heic|heif|png|webp|jpeg|jpg)$/i, '.jpg');
|
||||
const finalName = /\.jpe?g$/i.test(newName) ? newName : (newName + '.jpg');
|
||||
return new File([blob], finalName, { type: 'image/jpeg', lastModified: Date.now() });
|
||||
} finally {
|
||||
// ImageBitmap-Ressourcen freigeben (wo unterstützt)
|
||||
if (typeof img.close === 'function') img.close();
|
||||
}
|
||||
} catch {
|
||||
// Bei jedem Fehler (z.B. createImageBitmap auf HEIC) — original zurück
|
||||
return file;
|
||||
}
|
||||
}
|
||||
// Auch global verfügbar, damit Seiten-Module ihn direkt nutzen können
|
||||
if (typeof window !== 'undefined') window.compressImage = compressImage;
|
||||
|
||||
// Öffentliche API
|
||||
return {
|
||||
get, post, put, patch, del, upload, swCacheDelete,
|
||||
get, post, put, patch, del, upload, swCacheDelete, compressImage,
|
||||
auth, dogs, diary, health, tieraerzte, healthDocs, poison,
|
||||
places, routes, walks, events, sitting, forum, lost, knigge, weather, push,
|
||||
friends, chat, webcal, importData, sharing, widget, notifications, services, ratings, sittingAccess, training, notes,
|
||||
|
|
|
|||
|
|
@ -3,7 +3,7 @@
|
|||
Router, State-Management, Navigation, Initialisierung.
|
||||
============================================================ */
|
||||
|
||||
const APP_VER = '1071'; // ← bei jedem Deploy mit Frontend-Änderungen erhöhen
|
||||
const APP_VER = '1072'; // ← bei jedem Deploy mit Frontend-Änderungen erhöhen
|
||||
const APP_VERSION = '1.6.0'; // ← semantische Version, wird bei make release gesetzt
|
||||
const IS_STAGING = location.hostname === 'staging.banyaro.app';
|
||||
// Cache-Bust-Parameter nach Update-Reload sofort entfernen.
|
||||
|
|
|
|||
|
|
@ -8,6 +8,7 @@ window.Page_admin = (() => {
|
|||
let _container = null;
|
||||
let _appState = null;
|
||||
let _tab = 'uebersicht';
|
||||
let _delegationAttached = null; // WeakRef-Ersatz: zuletzt mit Delegation versehener Container
|
||||
|
||||
const TABS = [
|
||||
{ id: 'uebersicht', label: 'Übersicht', icon: 'house-line' },
|
||||
|
|
@ -71,20 +72,43 @@ window.Page_admin = (() => {
|
|||
|
||||
_container.querySelector('#adm-tabs')
|
||||
?.style.setProperty('--adm-tab-cols', Math.ceil(TABS.length / 2));
|
||||
_container.querySelectorAll('#adm-tabs .by-tab').forEach(btn => {
|
||||
btn.addEventListener('click', () => {
|
||||
_tab = btn.dataset.tab;
|
||||
_container.querySelectorAll('#adm-tabs .by-tab').forEach(b =>
|
||||
b.classList.toggle('active', b.dataset.tab === _tab)
|
||||
);
|
||||
_renderTab();
|
||||
});
|
||||
});
|
||||
|
||||
// Event-Delegation: Listener EINMAL pro Container-Instanz setzen
|
||||
// (innerHTML überschreibt zwar das DOM, aber bei jedem init() würden ohne
|
||||
// Flag erneut N=18 Tab-Listener akkumuliert werden)
|
||||
if (_delegationAttached !== _container) {
|
||||
_container.addEventListener('click', _onContainerClick);
|
||||
_delegationAttached = _container;
|
||||
}
|
||||
|
||||
_renderActionItems();
|
||||
_renderTab();
|
||||
}
|
||||
|
||||
// Delegation-Handler für Tab-Buttons + Action-Item-Buttons
|
||||
function _onContainerClick(e) {
|
||||
// Tab-Button (#adm-tabs .by-tab)
|
||||
const tabBtn = e.target.closest('#adm-tabs .by-tab');
|
||||
if (tabBtn && _container.contains(tabBtn)) {
|
||||
_tab = tabBtn.dataset.tab;
|
||||
_container.querySelectorAll('#adm-tabs .by-tab').forEach(b =>
|
||||
b.classList.toggle('active', b.dataset.tab === _tab)
|
||||
);
|
||||
_renderTab();
|
||||
return;
|
||||
}
|
||||
// Action-Item-Button ([data-action-tab])
|
||||
const actionBtn = e.target.closest('[data-action-tab]');
|
||||
if (actionBtn && _container.contains(actionBtn)) {
|
||||
_tab = actionBtn.dataset.actionTab;
|
||||
_container.querySelectorAll('#adm-tabs .by-tab').forEach(b =>
|
||||
b.classList.toggle('active', b.dataset.tab === _tab)
|
||||
);
|
||||
_renderTab();
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
async function _renderActionItems() {
|
||||
const el = _container.querySelector('#adm-action-items');
|
||||
if (!el) return;
|
||||
|
|
@ -134,15 +158,7 @@ window.Page_admin = (() => {
|
|||
</span>
|
||||
</div>`;
|
||||
|
||||
el.querySelectorAll('[data-action-tab]').forEach(btn => {
|
||||
btn.addEventListener('click', () => {
|
||||
_tab = btn.dataset.actionTab;
|
||||
_container.querySelectorAll('#adm-tabs .by-tab').forEach(b =>
|
||||
b.classList.toggle('active', b.dataset.tab === _tab)
|
||||
);
|
||||
_renderTab();
|
||||
});
|
||||
});
|
||||
// Klicks auf [data-action-tab] werden zentral via _onContainerClick (Delegation) behandelt
|
||||
}
|
||||
|
||||
async function _renderTab() {
|
||||
|
|
|
|||
|
|
@ -1728,8 +1728,10 @@ window.Page_diary = (() => {
|
|||
if (saveBtn) saveBtn.textContent = `0 von ${total} hochgeladen…`;
|
||||
|
||||
const results = await Promise.all(_newFiles.map(async file => {
|
||||
// Bild-Kompression vor Upload (HEIC/Video/<500KB werden unverändert durchgereicht)
|
||||
const toUpload = await API.compressImage(file);
|
||||
const formData = new FormData();
|
||||
formData.append('file', file);
|
||||
formData.append('file', toUpload);
|
||||
try {
|
||||
const m = await API.diary.uploadMedia(_appState.activeDog.id, entryId, formData);
|
||||
if (saveBtn) saveBtn.textContent = `${++done} von ${total} hochgeladen…`;
|
||||
|
|
|
|||
|
|
@ -762,8 +762,10 @@ window.Page_dog_profile = (() => {
|
|||
const file = e.target.files[0];
|
||||
if (!file) return;
|
||||
try {
|
||||
// Client-Side-Kompression vor Upload (HEIC bleibt unverändert)
|
||||
const toUpload = await API.compressImage(file);
|
||||
const fd = new FormData();
|
||||
fd.append('file', file);
|
||||
fd.append('file', toUpload);
|
||||
const result = await API.dogs.uploadPhoto(dog.id, fd);
|
||||
// Position zurücksetzen
|
||||
await API.dogs.updatePhotoPosition(dog.id, 1.0, 0.0, 0.0);
|
||||
|
|
@ -1384,8 +1386,10 @@ window.Page_dog_profile = (() => {
|
|||
// Foto hochladen wenn gewählt
|
||||
if (fotoFile) {
|
||||
try {
|
||||
// Client-Side-Kompression vor Upload
|
||||
const toUpload = await API.compressImage(fotoFile);
|
||||
const fd = new FormData();
|
||||
fd.append('file', fotoFile);
|
||||
fd.append('file', toUpload);
|
||||
const result = await API.dogs.uploadPhoto(saved.id, fd);
|
||||
saved.foto_url = result.foto_url;
|
||||
_appState.activeDog = { ...saved };
|
||||
|
|
|
|||
|
|
@ -1263,8 +1263,9 @@ window.Page_health = (() => {
|
|||
if (!saved.media_items) saved.media_items = [];
|
||||
for (const f of files) {
|
||||
try {
|
||||
const toUpload = await API.compressImage(f);
|
||||
const fd = new FormData();
|
||||
fd.append('file', f);
|
||||
fd.append('file', toUpload);
|
||||
const res = await API.health.uploadMedia(dogId, saved.id, fd);
|
||||
saved.media_items.push({ id: res.id, url: res.url, media_type: res.media_type });
|
||||
// Rückwärtskompatibilität: erste Datei auch als datei_url sichern
|
||||
|
|
@ -2739,6 +2740,8 @@ window.Page_health = (() => {
|
|||
}
|
||||
|
||||
await UI.asyncButton(btn, async () => {
|
||||
// Client-Side-Kompression nur wenn Bild (PDFs etc. unverändert durchgereicht)
|
||||
const toUpload = await API.compressImage(file);
|
||||
const formData = new FormData();
|
||||
formData.append('dog_id', String(dog.id));
|
||||
formData.append('typ', fd.typ);
|
||||
|
|
@ -2746,7 +2749,7 @@ window.Page_health = (() => {
|
|||
formData.append('beschreibung', fd.beschreibung || '');
|
||||
formData.append('datum', fd.datum || '');
|
||||
if (fd.vet_id) formData.append('vet_id', fd.vet_id);
|
||||
formData.append('file', file);
|
||||
formData.append('file', toUpload);
|
||||
|
||||
try {
|
||||
const doc = await API.healthDocs.upload(formData);
|
||||
|
|
|
|||
|
|
@ -772,8 +772,9 @@ window.Page_lost = (() => {
|
|||
// Foto hochladen
|
||||
if (photoInput?.files[0]) {
|
||||
try {
|
||||
const toUpload = await API.compressImage(photoInput.files[0]);
|
||||
const formData = new FormData();
|
||||
formData.append('file', photoInput.files[0]);
|
||||
formData.append('file', toUpload);
|
||||
const media = await API.lost.uploadFoto(created.id, formData);
|
||||
created.foto_url = media.foto_url;
|
||||
} catch {
|
||||
|
|
|
|||
|
|
@ -552,8 +552,9 @@ window.Page_poison = (() => {
|
|||
// Foto hochladen
|
||||
if (photoInput?.files[0]) {
|
||||
try {
|
||||
const toUpload = await API.compressImage(photoInput.files[0]);
|
||||
const formData = new FormData();
|
||||
formData.append('file', photoInput.files[0]);
|
||||
formData.append('file', toUpload);
|
||||
const media = await API.poison.uploadPhoto(created.id, formData);
|
||||
created.foto_url = media.foto_url;
|
||||
} catch {
|
||||
|
|
|
|||
|
|
@ -628,8 +628,10 @@ window.Page_walks = (() => {
|
|||
document.getElementById('wd-photo-input')?.addEventListener('change', async function() {
|
||||
if (!this.files.length) return;
|
||||
const file = this.files[0];
|
||||
// Client-Side-Kompression vor Upload (HEIC bleibt unverändert)
|
||||
const toUpload = await API.compressImage(file);
|
||||
const formData = new FormData();
|
||||
formData.append('file', file);
|
||||
formData.append('file', toUpload);
|
||||
try {
|
||||
const photo = await API.walks.uploadPhoto(walk.id, formData);
|
||||
const grid = document.getElementById('wd-photos-grid');
|
||||
|
|
|
|||
|
|
@ -4,7 +4,7 @@
|
|||
============================================================ */
|
||||
|
||||
// ← EINZIGE Stelle für die Version — STATIC_ASSETS und CACHE_VERSION leiten sich ab
|
||||
const VER = '1071';
|
||||
const VER = '1072';
|
||||
const CACHE_VERSION = `by-v${VER}`;
|
||||
const CACHE_STATIC = `${CACHE_VERSION}-static`;
|
||||
const CACHE_TILES = 'ban-yaro-tiles-v1'; // bleibt über SW-Updates erhalten
|
||||
|
|
@ -132,6 +132,26 @@ function _isMediaUpload(request) {
|
|||
return (request.headers.get('Content-Type') || '').includes('multipart');
|
||||
}
|
||||
|
||||
// Tile-Cache LRU: Eviction wenn zu viele Tiles drin sind
|
||||
// cache.keys() liefert Insertion-Order — daher löschen wir vom Anfang.
|
||||
// Bei jedem Tile-Add: trimTileCache() im Hintergrund (kein await vor respondWith).
|
||||
const _TILE_MAX_ENTRIES = 500;
|
||||
let _tileTrimRunning = false;
|
||||
async function trimTileCache(maxEntries = _TILE_MAX_ENTRIES) {
|
||||
if (_tileTrimRunning) return; // gleichzeitige Trims verhindern
|
||||
_tileTrimRunning = true;
|
||||
try {
|
||||
const cache = await caches.open(CACHE_TILES);
|
||||
const keys = await cache.keys();
|
||||
if (keys.length > maxEntries) {
|
||||
const toDelete = keys.slice(0, keys.length - maxEntries);
|
||||
await Promise.all(toDelete.map(k => cache.delete(k)));
|
||||
}
|
||||
} catch {} finally {
|
||||
_tileTrimRunning = false;
|
||||
}
|
||||
}
|
||||
|
||||
// Welche GET-API-Endpoints sollen gecacht werden?
|
||||
const _CACHEABLE_GET = [
|
||||
/^\/api\/dogs(\/\d+)?$/,
|
||||
|
|
@ -315,14 +335,18 @@ self.addEventListener('fetch', event => {
|
|||
return;
|
||||
}
|
||||
|
||||
// OSM-Kartenkacheln: eigener persistenter Cache
|
||||
// OSM-Kartenkacheln: eigener persistenter Cache (Cache-First mit LRU-Eviction)
|
||||
if (url.hostname.endsWith('tile.openstreetmap.org')) {
|
||||
event.respondWith(
|
||||
caches.open(CACHE_TILES).then(cache =>
|
||||
cache.match(event.request).then(cached => {
|
||||
if (cached) return cached;
|
||||
return fetch(event.request).then(response => {
|
||||
if (response.ok) cache.put(event.request, response.clone());
|
||||
if (response.ok) {
|
||||
cache.put(event.request, response.clone())
|
||||
.then(() => trimTileCache()) // im Hintergrund — blockiert respondWith nicht
|
||||
.catch(() => {});
|
||||
}
|
||||
return response;
|
||||
});
|
||||
})
|
||||
|
|
@ -435,6 +459,7 @@ self.addEventListener('message', event => {
|
|||
function fetchBatch() {
|
||||
if (queue.length === 0) {
|
||||
source?.postMessage({ type: 'CACHE_TILES_PROGRESS', done: total, total });
|
||||
trimTileCache(); // nach Bulk-Vorausladen einmal trimmen
|
||||
return;
|
||||
}
|
||||
const batch = queue.splice(0, 8);
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue