robotframework-4.0.2.dev1-orth-2021 1.1.1

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Description:

robotframework4.0.2.dev1orth2021 1.1.1

Introduction
Installation
Example
Usage
Documentation
Support and contact
Contributing
License



Introduction
Robot Framework is a generic open source
automation framework for acceptance testing, acceptance test driven
development (ATDD), and robotic process automation (RPA). It has simple plain
text syntax and it can be extended easily with libraries implemented using
Python or Java.
Robot Framework is operating system and application independent. The core
framework is implemented using Python, supports both
Python 2.7 and Python 3.5+, and runs also on Jython (JVM),
IronPython (.NET) and PyPy.
The framework has a rich ecosystem around it consisting of various generic
libraries and tools that are developed as separate projects. For more
information about Robot Framework and the ecosystem, see
http://robotframework.org.
Robot Framework project is hosted on GitHub where you can find source code,
an issue tracker, and some further documentation. See CONTRIBUTING.rst
if you are interested to contribute. Downloads are hosted on PyPI, except
for the standalone JAR distribution that is on Maven central.
Robot Framework development is sponsored by Robot Framework Foundation.
由于公司需求,自己再robot4.0.2dev1版本中进行二次开发,添加正交部分的功能代码


Installation
If you already have Python with pip installed,
you can simply run:
pip install robotframework_4.0.2.dev1_orth_2021
Alternatively you can get Robot Framework source code by downloading the source
distribution from PyPI and extracting it, or by cloning the project repository
from GitHub. After that you can install the framework with:
python setup.py install
For more detailed installation instructions, including installing Python,
Jython, IronPython and PyPy or installing from git, see INSTALL.rst.


Example
Below is a simple example test case for testing login to some system.
You can find more examples with links to related demo projects from
http://robotframework.org.
*** Settings ***
Documentation A test suite with a single test for valid login.
...
... This test has a workflow that is created using keywords in
... the imported resource file.
Resource resource.robot

*** Orthogonal Factors ***
func_name ["func"]
if_exists ["","if exitsts"]
dbname ["","test"]

*** Test Cases ***
Valid Login
Open Browser To Login Page
Input Username demo
Input Password mode
Submit Credentials
Welcome Page Should Be Open
[Teardown] Close Browser
正交的用法还是之前的用法,公司外部人员如果感兴趣可以咨询 1813057526@qq.com


Usage
Tests (or tasks) are executed from the command line using the robot
command or by executing the robot module directly like python -m robot
or jython -m robot.
The basic usage is giving a path to a test (or task) file or directory as an
argument with possible command line options before the path:
robot tests.robot
robot --variable BROWSER:Firefox --outputdir results path/to/tests/
Additionally there is the rebot tool for combining results and otherwise
post-processing outputs:
rebot --name Example output1.xml output2.xml
Run robot --help and rebot --help for more information about the command
line usage. For a complete reference manual see Robot Framework User Guide.


Documentation

Robot Framework User Guide
Standard libraries
Built-in tools
API documentation
General documentation and demos



Support and contact

robotframework-users mailing list
Slack community
#robotframework
IRC channel on freenode
@robotframework on Twitter
Other forums



Contributing
Interested to contribute to Robot Framework? Great! In that case it is a good
start by looking at the Contribution guidelines. If you
do not already have an issue you would like to work on, you can check
issues with good new issue and help wanted labels.
Remember also that there are many other tools and libraries in the wider
Robot Framework ecosystem that you can
contribute to!


License
Robot Framework is open source software provided under the Apache License
2.0. Robot Framework documentation and other similar content use the
Creative Commons Attribution 3.0 Unported license. Most libraries and tools
in the ecosystem are also open source, but they may use different licenses.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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