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.dev20190305135903.tar.gz.

File metadata

File hashes

Hashes for har-transformer-1.0.2.dev20190305135903.tar.gz
Algorithm Hash digest
SHA256 aba039d2dbdd20a4deb13adb25b78ac606fe7d699d3d44cdd75dafcfcc16db98
MD5 9d2590e62a16469889037b24435a99a5
BLAKE2b-256 d5c768370618a7db9b1ffe69ba400f50e384fe6214fbd6ad3a396c3eeaddb27b

See more details on using hashes here.

File details

Details for the file har_transformer-1.0.2.dev20190305135903-py3-none-any.whl.

File metadata

File hashes

Hashes for har_transformer-1.0.2.dev20190305135903-py3-none-any.whl
Algorithm Hash digest
SHA256 f06a65639b7bfee3fd5187e989910baa94d29cadb2c73a8e194681c9a3aaef38
MD5 5b1928e07f3c15a57f11c12d4afc5606
BLAKE2b-256 30cf119cede7e896191e3387f20b20d5d874412586e327586d83fdf2d0dfa96a

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