Skip to main content

A tool to convert HAR files into a locustfile.

Project description

.. raw:: html

<div align="center">

.. image:: docs/_static/transformer.png
:alt: Transformer logo
:align: center

.. raw:: html

<br>

.. image:: https://travis-ci.org/zalando-incubator/Transformer.svg?branch=master
:alt: travis-ci status badge
:target: https://travis-ci.org/zalando-incubator/Transformer

.. image:: https://badgen.net/pypi/v/har-transformer
:alt: pypi version badge
:target: https://pypi.org/project/har-transformer

.. image:: https://api.codacy.com/project/badge/Grade/10b3feb4e4814429bf288b87443a6c72
:alt: code quality badge
:target: https://www.codacy.com/app/thilp/Transformer

.. image:: https://api.codacy.com/project/badge/Coverage/10b3feb4e4814429bf288b87443a6c72
:alt: test coverage badge
:target: https://www.codacy.com/app/thilp/Transformer

.. image:: https://badgen.net/badge/code%20style/black/000
:alt: Code style: Black
:target: https://github.com/ambv/black

.. raw:: html

</div>

Transformer
***********

A **command-line tool** and **Python library** to convert web browser sessions
(`HAR`_ files) into Locust_ load test scenarios ("locustfiles").

.. _HAR: https://en.wikipedia.org/wiki/.har
.. _Locust: https://locust.io/

Use it to **replay HAR files** (storing recordings of interactions with your
website) **in load tests** with Locust_.

.. contents::
:local:

Installation
============

Install from PyPI::

pip install har-transformer

Usage
=====

Example HAR files are included in the ``examples/`` directory, try them
out.

Command-line
------------

.. code:: bash

transformer my_har_files_directory/ >locustfile.py

Library
-------

.. code:: python

import transformer

with open("locustfile.py", "w") as f:
transformer.dump(f, ["my_har_files_directory/"])

Documentation
=============

Take a look at our documentation_ for more details, including how to **generate
HAR files**, **customize your scenarios**, use or write **plugins**, etc.

.. _documentation: https://github.com/zalando-incubator/transformer/wiki

Authors
=======

- **Serhii Cherniavskyi** — `@scherniavsky <https://github.com/scherniavsky>`_

- **Thibaut Le Page** — `@thilp <https://github.com/thilp>`_

- **Brian Maher** — `@bmaher <https://github.com/bmaher>`_

- **Oliwia Zaremba** — `@tortila <https://github.com/tortila>`_

See also the list of contributors_ to this project.

.. _contributors: https://github.com/zalando-incubator/Transformer/blob/master
/docs/Contributors.rst

License
=======

This project is licensed under the MIT license — see the LICENSE.md_ file for
details.

.. _LICENSE.md: https://github.com/zalando-incubator/Transformer/blob/master
/LICENSE.m`d

Project details


Download files

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

Source Distribution

Built Distribution

File details

Details for the file har-transformer-1.0.2.dev20190305120834.tar.gz.

File metadata

File hashes

Hashes for har-transformer-1.0.2.dev20190305120834.tar.gz
Algorithm Hash digest
SHA256 b870473290b33fa775a7cb37a52ee7066207e8b452b03340c26b1b43481d6854
MD5 9e5ae6ec7dc6ab66d1f7284615d62814
BLAKE2b-256 ebc65071e2ff55093e1d5ba8ad2f4a6f8ca506a97dddc15494ab7439ac77c8cf

See more details on using hashes here.

File details

Details for the file har_transformer-1.0.2.dev20190305120834-py3-none-any.whl.

File metadata

File hashes

Hashes for har_transformer-1.0.2.dev20190305120834-py3-none-any.whl
Algorithm Hash digest
SHA256 33196c063488471bf4e2887a2db70f359d20a6ec2ee58abba8d281324c1a0a32
MD5 a039369a5d1a67a03327a30faf90a431
BLAKE2b-256 9a60d82c600ef3bd4912558a9a2bff7202f5c427c6363b63d98add07041f562c

See more details on using hashes here.

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