Tim Buckley d27c01fb6a Add new configuration file format
This enables a new "artifact"-based configuration file format,
intended to work natively with the deployer and to aid future efforts
to visualize additional data sources.

Among other tweaks, dataset indices are no longer used as the primary
differentiator between data files, and instead artifact names (such as
`testrepository.subunit`) are used to group related artfacts of various
types, such as 'subunit', 'subunit-stats', and 'subunit-details'.

Additionally, datasets and artifacts now have access to substantially
more metadata about the job that generated the output data. In future
patches, this metadata will be used to display and link to additional
information about visualized data. This metadata is made available
automatically by the deployer, and can be optionally gathered from
environment variables when using `stackviz-export` via a new `--env`
flag.

Change-Id: I3e16cc314624a1b7b4f6bf43fa4d5cdeedcdba0c
2016-04-21 16:21:52 -06:00
2016-04-21 16:21:52 -06:00
2016-04-21 16:21:52 -06:00
2015-11-18 15:36:36 -07:00
2016-03-11 14:45:55 +09:00
2015-09-14 15:59:30 -06:00
2015-12-23 01:31:16 +00:00

StackViz

A visualization utility to help analyze the performance of DevStack setup and Tempest executions. This repository can be cloned and built to use Stackviz with local run data. Stackviz is currently in the process of being implemented upstream (see Roadmap and Planning). To use Stackviz with upstream gate runs, please see the server deployment project at:

https://github.com/timothyb89/stackviz-deployer

Installation

Installation - Frontend

Installation of the frontend requires Node.js and Gulp. On Ubuntu::

sudo apt-get install nodejs npm nodejs-legacy sudo npm install -g gulp

Then, install the Node modules by running, from the project directory:

npm install

Installation - Processing

The data processor is a small Python module located in the same source tree. To install, run:

sudo pip install .

Usage

Usage - Development

A development server can be run as follows:

gulp dev

This will open a web browser and reload code automatically as it changes on the filesystem.

If you have subunit and dstat logs, you can create a config.json to display your runs:

stackviz-export -f <path/to/subunit> --dstat <path/to/dstat> app/data/

During gulp dev, files written to app/data/ will be automatically synchronized with the browser. Note that these files will not be copied to build/ during gulp prod, but you can copy them manually using gulp data.

Usage - Production

The production application can be build using:

gulp prod

The result will be written to ./build and should be appropriate for distribution. Note that all files are not required:

  • Directory structure (js/, css/, fonts/, images/): required.
  • Static resources (fonts/, images/): required.
  • Core files (index.html, js/main.js, css/main.css): required unless gzipped versions are used.
  • Gzipped versions of core files (*.gz): not required, but preferred. Use instead of plain core files to save on disk usage and bandwidth.
  • Source maps (js/main.js.map, js/main.js.map.gz): only required for debugging purposes.

Data should be written to build/data/ using stackviz-export like above. Note that the static production code generated above is portable, and can be generated anywhere and copied to another host to be combined with exported data.

Testing

  • Python tests: tox -epy27
  • JavaScript unit tests: gulp unit
  • JavaScript E2E tests: gulp e2e

Manuals & Developer Docs

For more detailed information on how Stackviz works, please see the manuals located at doc/source/man/

Roadmap and Planning

Description
Performance and debugging visualization for DevStack and Tempest
Readme 2.3 MiB
Languages
SCSS 58.2%
JavaScript 28.8%
Python 9.2%
HTML 3.8%