source
render_cpu_processes_table
render_cpu_processes_table (top_cpu:list)
Render the CPU processes table.
top_cpu
list
List of dictionaries containing top CPU-consuming process information
Returns
FT
A Div element containing the CPU processes table
from cjm_fasthtml_sysmon.monitors.processes import get_process_info
proc_info = get_process_info()
render_cpu_processes_table(top_cpu= proc_info['top_cpu' ])
< div id = "cpu-processes-table" >
< table class = "table table-zebra table-xs w-full" >
< thead >
< tr >
< th class = "text-xs w-16" > PID</ th >
< th class = "text-xs" > Name</ th >
< th class = "text-xs w-20" > CPU %</ th >
< th class = "text-xs w-24" > Memory</ th >
< th class = "text-xs" > User</ th >
</ tr >
</ thead >
< tbody >
< tr >
< td class = "text-xs" > 2342</ td >
< td class = "text-xs font-medium" > python</ td >
< td >
< label class = "badge badge-error badge-sm" > 83.9%</ label > </ td >
< td class = "text-xs" > 78 MB</ td >
< td class = "text-xs" > runner</ td >
</ tr >
< tr >
< td class = "text-xs" > 2338</ td >
< td class = "text-xs font-medium" > python</ td >
< td >
< label class = "badge badge-error badge-sm" > 78.7%</ label > </ td >
< td class = "text-xs" > 77 MB</ td >
< td class = "text-xs" > runner</ td >
</ tr >
< tr >
< td class = "text-xs" > 2343</ td >
< td class = "text-xs font-medium" > python</ td >
< td >
< label class = "badge badge-error badge-sm" > 78.7%</ label > </ td >
< td class = "text-xs" > 77 MB</ td >
< td class = "text-xs" > runner</ td >
</ tr >
< tr >
< td class = "text-xs" > 2341</ td >
< td class = "text-xs font-medium" > python</ td >
< td >
< label class = "badge badge-error badge-sm" > 73.4%</ label > </ td >
< td class = "text-xs" > 80 MB</ td >
< td class = "text-xs" > runner</ td >
</ tr >
< tr >
< td class = "text-xs" > 1888</ td >
< td class = "text-xs font-medium" > provjobd1095981550</ td >
< td >
< label class = "badge badge-info badge-sm" > 21.0%</ label > </ td >
< td class = "text-xs" > 33 MB</ td >
< td class = "text-xs" > runner</ td >
</ tr >
</ tbody >
</ table >
</ div >
source
render_memory_processes_table
render_memory_processes_table (top_memory:list)
Render the memory processes table.
top_memory
list
List of dictionaries containing top memory-consuming process information
Returns
FT
A Div element containing the memory processes table
from cjm_fasthtml_sysmon.monitors.processes import get_process_info
proc_info = get_process_info()
render_memory_processes_table(top_memory= proc_info['top_memory' ])
< div id = "memory-processes-table" >
< table class = "table table-zebra table-xs w-full" >
< thead >
< tr >
< th class = "text-xs w-16" > PID</ th >
< th class = "text-xs" > Name</ th >
< th class = "text-xs w-20" > Memory %</ th >
< th class = "text-xs w-24" > Memory</ th >
< th class = "text-xs" > User</ th >
</ tr >
</ thead >
< tbody >
< tr >
< td class = "text-xs" > 2004</ td >
< td class = "text-xs font-medium" > Runner.Worker</ td >
< td >
< label class = "badge badge-info badge-sm" > 0.8%</ label > </ td >
< td class = "text-xs" > 125 MB</ td >
< td class = "text-xs" > runner</ td >
</ tr >
< tr >
< td class = "text-xs" > 1989</ td >
< td class = "text-xs font-medium" > Runner.Listener</ td >
< td >
< label class = "badge badge-info badge-sm" > 0.6%</ label > </ td >
< td class = "text-xs" > 91 MB</ td >
< td class = "text-xs" > runner</ td >
</ tr >
< tr >
< td class = "text-xs" > 2341</ td >
< td class = "text-xs font-medium" > python</ td >
< td >
< label class = "badge badge-info badge-sm" > 0.5%</ label > </ td >
< td class = "text-xs" > 80 MB</ td >
< td class = "text-xs" > runner</ td >
</ tr >
< tr >
< td class = "text-xs" > 2338</ td >
< td class = "text-xs font-medium" > python</ td >
< td >
< label class = "badge badge-info badge-sm" > 0.5%</ label > </ td >
< td class = "text-xs" > 78 MB</ td >
< td class = "text-xs" > runner</ td >
</ tr >
< tr >
< td class = "text-xs" > 2342</ td >
< td class = "text-xs font-medium" > python</ td >
< td >
< label class = "badge badge-info badge-sm" > 0.5%</ label > </ td >
< td class = "text-xs" > 78 MB</ td >
< td class = "text-xs" > runner</ td >
</ tr >
</ tbody >
</ table >
</ div >
source
render_gpu_processes_table_body
render_gpu_processes_table_body (gpu_processes:list)
Render just the GPU processes table body.
gpu_processes
list
List of dictionaries containing GPU process information
Returns
FT
A Div element containing the GPU processes table body
source
render_gpu_processes_table
render_gpu_processes_table (gpu_processes:list)
Render the GPU processes table.
gpu_processes
list
List of dictionaries containing GPU process information
Returns
FT
A Div element containing the GPU processes table
from cjm_fasthtml_sysmon.monitors.gpu import get_gpu_info
gpu_info = get_gpu_info()
render_gpu_processes_table(gpu_processes= gpu_info.get('processes' , []))
FATAL ERROR: NVIDIA Management Library (NVML) not found.
HINT: The NVIDIA Management Library ships with the NVIDIA display driver (available at
https://www.nvidia.com/Download/index.aspx), or can be downloaded as part of the
NVIDIA CUDA Toolkit (available at https://developer.nvidia.com/cuda-downloads).
The lists of OS platforms and NVIDIA-GPUs supported by the NVML library can be
found in the NVML API Reference at https://docs.nvidia.com/deploy/nvml-api.
< div id = "gpu-processes-table-body" class = "bg-base-200 rounded-lg" >
< p class = "text-sm text-base-content text-center p-4" > No active GPU processes</ p >
</ div >