Skip to main content

A tool to convert HAR files into a locustfile.

Project description


Transformer

A tool to convert web browser sessions (HAR files) into Locust load testing scenarios (locustfiles).

Use it when you want to replay HAR files (containing recordings of interactions with your website) in load tests with Locust.

Installation

Install from PyPI with pip:

pip install har-transformer

Usage

Command-line

$ transformer my_scenarios_dir/

Library

import transformer

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

Example HAR files are included in the examples directory for you to try out.

Documentation

Take a look at our user documentation for more details, including how to generate HAR files, customize your scenarios, use or write plugins …

Authors

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

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

har-transformer-1.0.2.dev20190222100047.tar.gz (42.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file har-transformer-1.0.2.dev20190222100047.tar.gz.

File metadata

File hashes

Hashes for har-transformer-1.0.2.dev20190222100047.tar.gz
Algorithm Hash digest
SHA256 daba9f4e0cb034d479a8de37ed42156456dea77dd0e90b118c692bf20a67cac7
MD5 84b70d10dcc4a14febafc2571d2cecb6
BLAKE2b-256 d4b8e916ba2487fb0ca10e27c85611cd60aff6f31ece244feafd286e06a6de4a

See more details on using hashes here.

File details

Details for the file har_transformer-1.0.2.dev20190222100047-py3-none-any.whl.

File metadata

File hashes

Hashes for har_transformer-1.0.2.dev20190222100047-py3-none-any.whl
Algorithm Hash digest
SHA256 0066a668f1a7912cc02d19a8380dc71a2b6f0cc7e1252126eaa3f1ca11e2a673
MD5 272736dd23fe0ea7daee2d2b367aa583
BLAKE2b-256 081afddea1e1e1a3e517f9bb6c7ac552e567350ada0f29d2eb95a3d3fd1bdd94

See more details on using hashes here.

Supported by

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