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Workflow management tool (WMT)

WMT provides a GUI to enable users to design workflows and perform analysis and optimization.

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Setup

For demostration reasons a Linux operating system like Ubuntu it is assumed in this step. In Windows or other Linux distributions the equivalents should be done.

The project uses nginx, php-fpm and python. To install these packages execute the command: sudo apt-get nginx php-fpm python

The project's root directory stores a configuration file for nginx: wmt.conf.default. It should be changed appropriately: on line 5 set $ROOT "/your/path/to/wmt";. Then you can use this file for nginx server configuration: ln -s ~/your/path/to/wmt/wmt.conf /your/nginx/installation/servers/

To build the project use Grunt. Installation of Grunt's command line interface (CLI) globally can be done with the following commands:

  1. sudo apt-get npm
  2. sudo npm install -g grunt-cli

The project is configured with a package.json and a Gruntfile.js, it's very easy to start working with Grunt:

  1. Go to the project's root directory.
  2. Install project dependencies with npm install.
  3. Run Grunt with grunt.

Tests

To run tests, do python -m unittest -v testmain in the directory pub/py/ Currently, the following functions have test coverage:

  1. analyse() - comparison of its result with the presaved result in a file testwl-a.json
  2. save() - checking that save function generates a file with correct name
  3. execute() - checking that execute function saves a workflow in IReS format (correct folder and presence of required files in it)
  4. findNode() - checking that found node with findNode function has correct id
  5. findTask() - checking that found task with findTask function has correct id
  6. findEdge() - checking that found edge with findEdge function has correct id
  7. dict2text() - comparison of its result with the presaved result

Usage of a tool

Workflow Design

Creating a workflow from scratch can be done by following steps:

  1. First, click new workflow on the top of the page.
  2. Then, create a graph of a workflow: add nodes and datastores using buttons add datastore and add node; connect them using button add links, when it is pressed сlicking on the first then the second nodes adds an edge between them.
  3. Add tasks into the nodes: choose a node; click add task on the left sidebar; choose from the list of operators and then edit metadata to your needs.
  4. Save the workflow, click save workflow on the top navbar.

About

A unified, open-source execution framework for scalable data analytics to facilitate the development and execution of general-purpose analytics queries over irregular data.

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