From fc091665ff051e20fe2f2450cdb5a1c190ee7ece Mon Sep 17 00:00:00 2001 From: MacRimi Date: Tue, 7 Oct 2025 19:59:18 +0200 Subject: [PATCH] Update flask_server.py --- AppImage/scripts/flask_server.py | 41 +++++++++++++++++++++++++++++++- 1 file changed, 40 insertions(+), 1 deletion(-) diff --git a/AppImage/scripts/flask_server.py b/AppImage/scripts/flask_server.py index 9b1ccdb..7d1374f 100644 --- a/AppImage/scripts/flask_server.py +++ b/AppImage/scripts/flask_server.py @@ -1691,7 +1691,6 @@ def get_detailed_gpu_info(gpu): detailed_info['irq_rate'] = int(irq_count) data_retrieved = True - # Parse engine utilization if 'engines' in json_data: engines_data = json_data['engines'] engine_map = { @@ -1700,11 +1699,51 @@ def get_detailed_gpu_info(gpu): 'Video': 'engine_video', 'VideoEnhance': 'engine_video_enhance' } + + # Store individual engine utilization + engine_values = [] for engine_name, key in engine_map.items(): if engine_name in engines_data: busy_value = engines_data[engine_name].get('busy', 0) detailed_info[key] = float(busy_value) + engine_values.append(busy_value) 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") break # Exit loop, we got the data