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yape

yet another pButtons extractor

For quickly processing and charting InterSystems Caché pButtons support files.

Python version

Please check you have the correct Python version. For writing and testing I am using Python 3. Specifically:

python --version
Python 3.5.2 :: Anaconda 4.2.0 (x86_64)

I have also tested on 3.6. New to Python? See Fabians article on InterSystems Community or google :)

https://community.intersystems.com/post/visualizing-data-jungle-part-i-lets-make-graph

Look right through to the comments: E.g. Be sure to install extra Python modules. sudo pip3 install matplotlib and sudo pip3 install pandas. Also since February 18th version: sudo pip3 install bokeh for interactive charts.

For example if you are running default on OSX you will have Python 2.7.

You can run Python 2.7 and Python 3.x side by side.

Overview

At the moment this process has two steps.

Step 1. extract_pButtons.py

Extract interesting sections from pButtons and write to .csv files for opening with excel or processing with charting with graph_pButtons.py.

For more info:

extract_pButtons.py --help

Example: ./extract_pButtons.py my_pbuttons_file_name.html

Will create a folder ./metrics with .csv files. Which .csv depends on the OS pButtons was run on.

Version .02 15 Feb 2017

  • mgstat extracted for all operatings systems.
  • vmstat for RH and AIX
  • iostat for RH (AIX output to .txt file)
  • windows perfmon for Windows.

Step 2. graph_pButtons.py

Chart files created at step 1. Currently .png or interactive .html

Version .03 16 Feb 2017

  • png output.

Version .04 18 Feb 2018

  • Added support for output using Bokeh (interactive html files)
  • Changed command line options, so look at --help.

For more info:

graph_pButtons.py --help

Example: ./graph_pButtons.py ./metrics

Will scan ./metrics for files created by extract_pButtons and output selected chart type. Line chart to ./charts by default.

Plans:

  • Create standard set of multi-file charts for trouble-shooting and performance analysis.

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  • HTML 96.6%
  • Python 3.4%