Skip to main content

Reusable Robot Framework keyword library for QAppuccino TestOps

Project description

QAppuccinoLibrary

Reusable Robot Framework keyword library for QAppuccino TestOps, designed and maintained by LPS PH ODC.


📦 Installation

Install using pip. The library will automatically install all required Python libraries if they are not found:

pip install QAppuccinoLibrary

⚙️ Requirements

  • Python 3.8 or higher must be installed manually before using this library.
  • All other required libraries will be installed automatically when you install this package.

🚀 Usage Example

In your .robot test file:

*** Settings ***
Resource          ../qappuccino/qappuccino.resource

*** Test Cases ***
Sample Test
    My Custom Keyword

👥 Maintainers

Eric Zamora
LPS PH ODC
eric.zamora@lpstech.com


⚠️ License Notice

-------------------------------------------------------------------------------
This code is created by LPS PH ODC.
Unauthorized use, modification, distribution, or reproduction of this code
is strictly prohibited. This code shall only be used within LPS and for
its authorized purposes.
Copyright (c) 2024 LPS. All rights reserved.
-------------------------------------------------------------------------------

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

qappuccinolibrary-0.1.23.tar.gz (11.7 kB view details)

Uploaded Source

Built Distribution

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

qappuccinolibrary-0.1.23-py3-none-any.whl (28.4 kB view details)

Uploaded Python 3

File details

Details for the file qappuccinolibrary-0.1.23.tar.gz.

File metadata

  • Download URL: qappuccinolibrary-0.1.23.tar.gz
  • Upload date:
  • Size: 11.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.0

File hashes

Hashes for qappuccinolibrary-0.1.23.tar.gz
Algorithm Hash digest
SHA256 cba253b431c4e289a6a56e6473d041a3eced0e0c06fd7fe7ed78abfda2c7811b
MD5 f9e705530a4ef2dc120d3058ab1114bc
BLAKE2b-256 06492c2b4d0429755394c287cd4eb1c6a13154ad72d611ca2bcbd198db0aa4bc

See more details on using hashes here.

File details

Details for the file qappuccinolibrary-0.1.23-py3-none-any.whl.

File metadata

File hashes

Hashes for qappuccinolibrary-0.1.23-py3-none-any.whl
Algorithm Hash digest
SHA256 913a47acf2f7497f2e02052d180b7c0fbb7f3a438eb72ac7112e03fce6026547
MD5 5fb2113cf30ccc5d75def816808a935e
BLAKE2b-256 71bec259e23f0a9c805b3495941db578566f596082ab0348646ea6be36c30e0a

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