Skip to main content

Arjuna is a Python based test automation framework developed by Rahul Verma (www.rahulverma.net).

Project description

Arjuna

Arjuna is a Python based test automation framework developed by Rahul Verma (www.rahulverma.net). Rahul has implemented smaller variants of features in Arjuna across frameworks and organizations, or given advise around it. However Arjuna being a generic library has the most complete implementation of his ideas, away from project specific contexts and constraints.

Arjuna uses pytest as its recommended test engine. Arjuna also provides its markup for some common use cases on top of pytest. If you like, you can make use of Arjuna with any other test engine or custom frameworks as well.

You'd need Python 3.5+ to make use of Arjuna.

Note: On Linux, the built-in Python3 build has issues with the Python's built-in enum module which is heavily used in Arjuna. One alternative is to install ActiveState Python on linux. Advanced users can go for installing a custom Python build.

Tutorial

1. Arjuna Installation

  1. Download and install latest Python (3.5+) from https://python.org
    • If you are insterested to learn python Following are links for tutorials and docs.
  2. Confirm the python version installed by running the command python --version. If expected version in not shown, fix this by looking into PATH variables and/or to see whether you have multiple versions of Python installed.
  3. Install Arjuna using the following command
    • pip install arjuna

2. Arjuna's Core Features

You can find the example code used on this section in arjuna_core_features project.

  1. Project Structure
  2. Writing Your First Test
  3. Configuration
  4. Data Driven Testing
  5. Contextual Data References
  6. Localization of Strings

3. Basic Web UI Automation

You can find the example code used on this section in arjuna_webui_basics project.

  1. Getting Started with WebApp
  2. GuiElement - Identification and Interactions
  3. Creating Reusable Module
  4. GuiMultiElement
  5. Dropdown and RadioGroup

4. Advanced Web UI Automation

  1. Finding Nested Elements
  2. Alternative and Dynamic Identifiers
  3. Executing JavaScript
  4. Alerts, Windows, Frames
  5. Configuraing Interactions with GuiInteractionConfig
  6. Handling Custom DropDowns
  7. Retrieving Source code with GuiSource

5. Gui Abstraction - GNS, App, Page, Widget and Gui Elements

The following tutorial sub-sections have multiple example projects corresponding to them. Please refer the pages for respective example projects.

  1. Gui Namespace (GNS) - Externalized Identifiers
  2. Creating App Class
  3. Gui and Its Loading Model in Arjuna
  4. App Object Model
  5. App-Page Object Model
  6. App-Page-Section Object Model

Reference

  1. Command Line Options

Miscellaneous

  1. Using Arjuna With Your Test Framework

Project details


Release history Release notifications | RSS feed

This version

0.9.5

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

arjuna-0.9.5.tar.gz (108.9 kB view details)

Uploaded Source

Built Distribution

arjuna-0.9.5-py3-none-any.whl (194.4 kB view details)

Uploaded Python 3

File details

Details for the file arjuna-0.9.5.tar.gz.

File metadata

  • Download URL: arjuna-0.9.5.tar.gz
  • Upload date:
  • Size: 108.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.5

File hashes

Hashes for arjuna-0.9.5.tar.gz
Algorithm Hash digest
SHA256 a31d869258e42272d3ab0615165b483aba047dfdbe844dfbb33a01bfa1596c9e
MD5 47d4fee1e55af8f4549ac58af207f842
BLAKE2b-256 56a29a32584efccd5e49a0e3fc5a8bb540273102d98e8367ed0b674d21e11afb

See more details on using hashes here.

Provenance

File details

Details for the file arjuna-0.9.5-py3-none-any.whl.

File metadata

  • Download URL: arjuna-0.9.5-py3-none-any.whl
  • Upload date:
  • Size: 194.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.5

File hashes

Hashes for arjuna-0.9.5-py3-none-any.whl
Algorithm Hash digest
SHA256 9c28e0a403843fe713bc332da49cd7ca2f47440d25bd3118e64670f77ff581f9
MD5 a7a8f601f0ac850aa5552de400fff9d0
BLAKE2b-256 1aec36aa447d60bff3c322c4009d1443a508506ab3baf3d14f26f51cbda5ead1

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page