Skip to main content

QA Automation with LaVague

Project description

Test runner for LaVague

LaVague QA is a specialized tool to generate pytest files from Gherkin test descriptions.

Usage

Usage: lavague-qa [OPTIONS]

Options:
  -u, --url TEXT      URL of the site to test
  -f, --feature TEXT  Path to the .feature file containing Gherkin
  -l, --full-llm      Enable full LLM pytest generation
  -c, --context TEXT  Path of python file containing an initialized context
                      and token_counter. Defaults to OpenAI GPT4o
  -h, --headless      Enable headless mode for the browser
  -db, --log-to-db    Enables logging to a SQLite database
  --help              Show this message and exit.

Some examples are provided in ./features/:

lavague-qa --url https://amazon.fr/ --feature features/demo_amazon.feature

Run lavague-qa to run a default example: Wikipedia login test

Learn more

To learn more, please visit our LaVague QA documentation and join our Discord to reach our core team and get support!

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

lavague_qa-0.0.5.tar.gz (9.0 kB view details)

Uploaded Source

Built Distribution

lavague_qa-0.0.5-py3-none-any.whl (10.2 kB view details)

Uploaded Python 3

File details

Details for the file lavague_qa-0.0.5.tar.gz.

File metadata

  • Download URL: lavague_qa-0.0.5.tar.gz
  • Upload date:
  • Size: 9.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.14 Darwin/22.2.0

File hashes

Hashes for lavague_qa-0.0.5.tar.gz
Algorithm Hash digest
SHA256 732d8af33bf899ce5520f52215c85ae276415c1f0c4cf46ba00c56b28542e7d5
MD5 6cca589855a8f79cc95d5b83b4ee7bd5
BLAKE2b-256 946b0d5e82d1f5aad57368d5421db56ea1f1c29499c20a836a2069fe5ba3c17b

See more details on using hashes here.

File details

Details for the file lavague_qa-0.0.5-py3-none-any.whl.

File metadata

  • Download URL: lavague_qa-0.0.5-py3-none-any.whl
  • Upload date:
  • Size: 10.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.14 Darwin/22.2.0

File hashes

Hashes for lavague_qa-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 da8cf02a14f11d8ebc3924d248988f3c2e3af76b6603df6b5ce4847aef88c241
MD5 3108acf68335edaa95aa9e2bd5514ea6
BLAKE2b-256 929812bfe00d9e59ffe6d064a2685badf9cefb960cc08ea744863f338ce3c1ce

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