Graphs of usage rates and latency for peformance optimization

pedro.estrela · October 4, 2020, 7:24pm

Is there any external tool to makes graphs of the log data to compare mapping versions and optimize performance?

Simple metrics like
- messages per second over time
- latency between MIDI-IN->MIDI-OUT on different devices
- etc

If not, I will build a quick ipyhton notebook that consumes the log output.

UPDATE: python script now produces this graph:

source code:

pestrela/music/blob/master/traktor/tools_traktor/bome_measure_utilization.py

#!/usr/bin/env python3 

# https://jupyter.org/try

inside_jupyter = False
inside_jupyter = True


import matplotlib as mpl
import matplotlib.pyplot as plt
from subprocess import Popen, PIPE, STDOUT

if not inside_jupyter:
    mpl.use('Agg') 

import pandas as pd
import numpy as np
import argparse
import os
import re

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SteveC · October 4, 2020, 9:41pm

Hi Pedro,

I'm not aware of any. You are the first person that I know of that asked.

Steve Caldwell
Bome Customer Care

Also available for paid consulting services: bome@sniz.biz

pedro.estrela · October 4, 2020, 9:54pm

no problem, will share later.

Also, FYI an index of advanced topics that I’m aware: https://www.bome.com/support/kb/index-of-advanced-posts-and-tools

SteveC · October 4, 2020, 10:08pm

Thanks for posting!

pedro.estrela · January 11, 2021, 4:46pm

UPDATE: python script now produces this graph:

source code:

github.com

pestrela/music/blob/master/traktor/tools_traktor/bome_measure_utilization.py

#!/usr/bin/env python3 

# https://jupyter.org/try

inside_jupyter = False
inside_jupyter = True


import matplotlib as mpl
import matplotlib.pyplot as plt
from subprocess import Popen, PIPE, STDOUT

if not inside_jupyter:
    mpl.use('Agg') 

import pandas as pd
import numpy as np
import argparse
import os
import re

This file has been truncated. show original