Yet Another pButtons Extractor
NOTE: Development of
yapestopped in February 2021. Replaced byyaspe
See: https://github.com/murrayo/yaspeyaspehas a different internal structure and additional reporting and exporting options.
Use at your own risk and if you find any issues, please feel free to file it here.
There is a link to how-to videos on InterSystems Developer Community.
yape automatically creates charts that can be used for trouble-shooting performance issues or informing performance questions.
Below is the example chart of a weeks data.
For more fancy charts or to combine mgstat, vmstat an iostat use pretty_pButtons
Of course, you need docker installed first :)
[https://hub.docker.com/r/yape/yape/]
The same usage information applies, for example:
docker pull yape/yape
docker container run --rm -v "$(pwd)":/data yape/yape --help
For example to extract mgstat and vmstat quietly and also output csv files:
cd <directory with your pButtons file.html>
docker container run --rm -v "$(pwd)":/data yape/yape --mgstat --vmstat -qc /data/<name of your pButtons file.html>
To avoid any fighting with python versions there is a Dockerfile for building a container
cd <some place you want the files>
git clone https://github.com/murrayo/yape.git
cd yape
docker build -t yape2 .
You can run the container like this example to get parameters:
docker container run --rm -v "$(pwd)":/data yape2 --help
For example to extract mgstat and vmstat quietly and also output csv files:
cd <directory with your pButtons file.html>
docker container run --rm -v "$(pwd)":/data yape2 --mgstat --vmstat -qc /data/<name of your pButtons file.html>
Note: This installs the command line version only, for the interactive version you will need to install locally in your OS (see below).
If you want to remove the container version. Stop all containers and remove images.
Requires git, pip and Python installed aready as per Python Version as below. Includes Alpha of the interactive version.
Python can be a beast about versions, for the simplest experience a container is a good way to go. You have been warned.
See: https://www.anaconda.com/distribution
The following was used to test and build yape for the container version:
$ python --version
Python 3.7.4
To use pip to install packages to Anaconda Environment
$ sudo conda install pip
$ pip --version
pip 19.2.3 from /Users/mo/opt/anaconda3/lib/python3.7/site-packages/pip (python 3.7)
cd <some place you want the files>
git clone https://github.com/murrayo/yape.git
sudo pip install . --upgrade
yape --help
You can specify a configuration file with the
yape --config config.example.yml ...
parameter. This allows to set things like the default output graph size. See config.example.yml for possible options and their default value.
Yape will always check if there is a ~/.yape.yml file and load that.
To switch to dot graphs instead of line graphs set the style to "". For example, define the following in your config:
plotting:
dim: 16,6
style: ""
markersize: 2
dim is dimensions in inches.
Choices for style are: '-' solid line '--' dashed line '-.' dash-dotted line ':' dotted line
The defaults for configuration are:
plotting:
dim: 16,6
style: "-"
markersize: 1
To create a week overview graph you can currently parse a number of pbuttons into a file and then plot that:
yape --filedb data.db pbuttons1.html
yape --filedb data.db pbuttons2.html
yape --filedb data.db pbuttons3.html
yape --filedb data.db pbuttons4.html
yape --filedb data.db pbuttons5.html
yape --filedb data.db pbuttons6.html
yape --filedb data.db pbuttons7.html
....
yape --filedb data.db --timeframe "2018-06-11 00:00:00,2018-06-17 22:00:00" -a --skip-parse -o testdata/
Note: the last positional argument (pButtons file name) is not entered when --skip-parse and --filedb are used.
Change to the base of your checked out yape directory and run:
bokeh serve --show yapesrv --args /path/to/your.html
This will give you (maybe) an interactive display of the pbuttons passed in. If you run into any errors, feel free to create an issue here: https://github.com/murrayo/yape/issues
To run the unittests, use
python setup.py nosetests
(you might need to use python3 as command if you have multiple versions of python installed)
It will run tests with all pbutton files found in the test-data directory.
See the detailed description and discussion in this article. Have a look at InterSystems Developer Community to learn about InterSystems technology, sharing solutions and staying up-to-date on the latest developments.