feat: add GPU status logging with state tracking to prevent duplicate log messages and configure NVIDIA runtime in docker-compose

Add graphics_log_state global to track GPU query status and prevent duplicate log messages. Log warning with error_summary() when nvidia-smi is unavailable or returns non-zero exit code. Log info message when GPU status becomes available with GPU count and binary path. Track signature tuples for unavailable/failed/ok states including GPU index/name/temperature/utilization.

app.py

@@ -87,6 +87,7 @@ datastore_refresh_lock = threading.Lock()
 raid_refresh_lock = threading.Lock()
 datastore_cache = {"stored_at": 0.0, "snapshot": None, "raid": None, "raid_at": 0.0}
 raid_log_state = None
+graphics_log_state = None
 hardware_log_once = set()
 
 LANG_NAMES = {"de":"Deutsch", "deu":"Deutsch", "ger":"Deutsch", "en":"Englisch", "eng":"Englisch", "ja":"Japanisch", "jpn":"Japanisch", "ko":"Koreanisch", "kor":"Koreanisch", "fr":"Französisch", "fra":"Französisch", "fre":"Französisch", "es":"Spanisch", "spa":"Spanisch", "it":"Italienisch", "ita":"Italienisch", "ru":"Russisch", "rus":"Russisch", "zh":"Chinesisch", "zho":"Chinesisch", "chi":"Chinesisch", "und":"Unbekannt", "":"Unbekannt"}
@@ -356,12 +357,22 @@ def io_pressure():
 
 def graphics_snapshot():
     """Read NVIDIA GPU details with short, non-blocking subprocess timeouts."""
+    global graphics_log_state
     query = "index,name,uuid,serial,pci.bus_id,driver_version,pstate,temperature.gpu,utilization.gpu,utilization.memory,memory.total,memory.used,memory.free,power.draw,power.limit,fan.speed,clocks.current.graphics,clocks.current.memory,clocks.max.graphics,clocks.max.memory,compute_mode"
     try:
         result = subprocess.run([NVIDIA_SMI_BIN, f"--query-gpu={query}", "--format=csv,noheader,nounits"], capture_output=True, text=True, timeout=5, check=False)
-    except (OSError, subprocess.SubprocessError):
+    except (OSError, subprocess.SubprocessError) as exc:
+        signature = ("unavailable", str(exc))
+        if signature != graphics_log_state:
+            log.warning("GPU-Abfrage fehlgeschlagen: %s (%s)", NVIDIA_SMI_BIN, error_summary(exc))
+            graphics_log_state = signature
         return {"available": False, "gpus": [], "processes": [], "error": "NVIDIA SMI nicht verfügbar"}
     if result.returncode != 0 or not result.stdout.strip():
+        detail = " ".join((result.stderr or result.stdout or "keine Ausgabe").split())[:240]
+        signature = ("failed", result.returncode, detail)
+        if signature != graphics_log_state:
+            log.warning("GPU-Abfrage fehlgeschlagen: %s (Code %s): %s", NVIDIA_SMI_BIN, result.returncode, detail)
+            graphics_log_state = signature
         return {"available": False, "gpus": [], "processes": [], "error": "Keine NVIDIA-GPU erkannt"}
     fields = query.split(",")
     gpus = []
@@ -386,6 +397,10 @@ def graphics_snapshot():
                 processes.append({"pid": values[0], "name": values[1], "memory": values[2]})
     except (OSError, subprocess.SubprocessError):
         pass
+    signature = ("ok", tuple((gpu.get("index"), gpu.get("name"), gpu.get("temperature.gpu"), gpu.get("utilization.gpu")) for gpu in gpus))
+    if signature != graphics_log_state:
+        log.info("GPU-Status verfügbar: %s NVIDIA-GPU(s) via %s", len(gpus), NVIDIA_SMI_BIN)
+        graphics_log_state = signature
     return {"available": bool(gpus), "gpus": gpus, "processes": processes, "error": None if gpus else "Keine NVIDIA-GPU erkannt", "updated_at": time.time()}
 
 def smart_status(device):

docker-compose.yml

@@ -3,6 +3,7 @@ services:
     build: .
     container_name: media-max
     restart: unless-stopped
+    gpus: all
     ports:
       - "8099:8099"
     devices:
@@ -16,6 +17,9 @@ services:
       - "host.docker.internal:host-gateway"
     env_file:
       - .env
+    environment:
+      NVIDIA_VISIBLE_DEVICES: ${NVIDIA_VISIBLE_DEVICES:-all}
+      NVIDIA_DRIVER_CAPABILITIES: ${NVIDIA_DRIVER_CAPABILITIES:-compute,utility}
     volumes:
       # Host-Pfad deiner Film-Library -> interner Dashboard-Pfad
       - ${FILM_MEDIA_VOLUME}:/media/filme:ro