Welcome to IPpy’s documentation!¶
Contents:
IPpy¶
Parallel testing of IP addresses and domains in python. Reads IP addresses and domains from a CSV file and gives two lists of accessible and inaccessible ones.
About¶
- Compatible with both Python 2 and 3.
- Testing of IPs and domains is done in parallel.
- By default there are 4 Workers.
- All Workers work on an input Queue and a output Queue.
Modes¶
- verbose - if true, ping output will be displayed.
- output -
json
orcsv
Support¶
Windows, Linux and macOS are supported.
Supports both IPv4 and IPv6 IPs, and domain names.
# Examples 127.0.0.1 ::1 localhost
Install¶
$ pip install ippy
Usage¶
# Create IPpy instance
ippy_obj = ippy.Ippy()
# Set config - verbose, output, num_workers
# verbose - True or False
# output - csv or json
ippy_obj.set_config(True, 'csv', 4)
# Set Input File
ippy_obj.set_file(file='ip_list.csv')
# Run IPpy
ippy_obj.run()
# Get Results
output = ippy_obj.result()
print(output)
Tests¶
To run the tests, first install tox
$ pip install tox
then run tox from the project root directory.
$ tox
Installation¶
Stable release¶
To install IPpy, run this command in your terminal:
$ pip install ippy
This is the preferred method to install IPpy, as it will always install the most recent stable release.
If you don’t have pip installed, this Python installation guide can guide you through the process.
From sources¶
The sources for IPpy can be downloaded from the Github repo.
You can either clone the public repository:
$ git clone git://github.com/shivammathur/ippy
Or download the tarball:
$ curl -OL https://github.com/shivammathur/ippy/tarball/master
Once you have a copy of the source, you can install it with:
$ python setup.py install
Contributing¶
Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
Types of Contributions¶
Report Bugs¶
Report bugs at https://github.com/shivammathur/ippy/issues.
If you are reporting a bug, please include:
- Your operating system name and version.
- Any details about your local setup that might be helpful in troubleshooting.
- Detailed steps to reproduce the bug.
Fix Bugs¶
Look through the GitHub issues for bugs. Anything tagged with “bug” and “help wanted” is open to whoever wants to implement it.
Implement Features¶
Look through the GitHub issues for features. Anything tagged with “enhancement” and “help wanted” is open to whoever wants to implement it.
Write Documentation¶
IPpy could always use more documentation, whether as part of the official IPpy docs, in docstrings, or even on the web in blog posts, articles, and such.
Submit Feedback¶
The best way to send feedback is to file an issue at https://github.com/shivammathur/ippy/issues.
If you are proposing a feature:
- Explain in detail how it would work.
- Keep the scope as narrow as possible, to make it easier to implement.
- Remember that this is a volunteer-driven project, and that contributions are welcome :)
Get Started!¶
Ready to contribute? Here’s how to set up ippy for local development.
Fork the ippy repo on GitHub.
Clone your fork locally:
$ git clone git@github.com:your_name_here/ippy.git
Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:
$ mkvirtualenv ippy $ cd ippy/ $ python setup.py develop
Create a branch for local development:
$ git checkout -b name-of-your-bugfix-or-feature
Now you can make your changes locally.
When you’re done making changes, check that your changes pass the tests, including testing other Python versions with tox:
$ python setup.py test or py.test $ tox
To get tox, just pip install them into your virtualenv.
Commit your changes and push your branch to GitHub:
$ git add . $ git commit -m "Your detailed description of your changes." $ git push origin name-of-your-bugfix-or-feature
Submit a pull request through the GitHub website.
Pull Request Guidelines¶
Before you submit a pull request, check that it meets these guidelines:
- The pull request should include tests.
- If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.
- The pull request should work for Python 2.6, 2.7, 3.3, 3.4 and 3.5, and for PyPy. Check https://travis-ci.org/shivammathur/ippy/pull_requests and make sure that the tests pass for all supported Python versions.