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Update flask_server.py

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MacRimi
2025-10-07 19:59:18 +02:00
parent 3f2842a9a3
commit fc091665ff
1 changed files with 40 additions and 1 deletions
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41
AppImage/scripts/flask_server.py
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@@ -1691,7 +1691,6 @@ def get_detailed_gpu_info(gpu):
detailed_info['irq_rate'] = int(irq_count) detailed_info['irq_rate'] = int(irq_count)
data_retrieved = True data_retrieved = True
# Parse engine utilization
if 'engines' in json_data: if 'engines' in json_data:
engines_data = json_data['engines'] engines_data = json_data['engines']
engine_map = { engine_map = {
@@ -1700,12 +1699,52 @@ def get_detailed_gpu_info(gpu):
'Video': 'engine_video', 'Video': 'engine_video',
'VideoEnhance': 'engine_video_enhance' 'VideoEnhance': 'engine_video_enhance'
} }
# Store individual engine utilization
engine_values = []
for engine_name, key in engine_map.items(): for engine_name, key in engine_map.items():
if engine_name in engines_data: if engine_name in engines_data:
busy_value = engines_data[engine_name].get('busy', 0) busy_value = engines_data[engine_name].get('busy', 0)
detailed_info[key] = float(busy_value) detailed_info[key] = float(busy_value)
engine_values.append(busy_value)
data_retrieved = True data_retrieved = True
# Calculate overall GPU utilization (average of all engines)
if engine_values:
avg_utilization = sum(engine_values) / len(engine_values)
detailed_info['utilization_gpu'] = f"{avg_utilization:.1f}%"
if 'clients' in json_data:
clients_data = json_data['clients']
processes = []
for client_id, client_info in clients_data.items():
process = {
'name': client_info.get('name', 'Unknown'),
'pid': client_info.get('pid', 'N/A')
}
# Get memory usage if available
if 'memory' in client_info and 'system' in client_info['memory']:
mem_info = client_info['memory']['system']
if 'resident' in mem_info:
# Convert bytes to MB
mem_mb = int(mem_info['resident']) / (1024 * 1024)
process['memory_used'] = f"{mem_mb:.0f} MB"
# Get engine utilization for this process
if 'engine-classes' in client_info:
engine_classes = client_info['engine-classes']
# Use Render/3D as primary utilization metric
if 'Render/3D' in engine_classes:
render_busy = engine_classes['Render/3D'].get('busy', '0')
process['gpu_utilization'] = f"{float(render_busy):.1f}%"
processes.append(process)
if processes:
detailed_info['processes'] = processes
data_retrieved = True
print(f"[v0] Intel GPU data retrieved successfully") print(f"[v0] Intel GPU data retrieved successfully")
break # Exit loop, we got the data break # Exit loop, we got the data