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-0.1.10.tar.gz (6.2 kB view details)

Uploaded Source

Built Distribution

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

qappuccinolibrary-0.1.10-py3-none-any.whl (10.6 kB view details)

Uploaded Python 3

File details

Details for the file qappuccinolibrary-0.1.10.tar.gz.

File metadata

  • Download URL: qappuccinolibrary-0.1.10.tar.gz
  • Upload date:
  • Size: 6.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.0

File hashes

Hashes for qappuccinolibrary-0.1.10.tar.gz
Algorithm Hash digest
SHA256 fcdc28d50d5fb039ef28af1061aeed35de573d835f5774b82d83f7e9cdffb7f1
MD5 5f4c7f7b30e5eab6514b96095146fe3b
BLAKE2b-256 f1f2fbaada7f1b7627d59647f1ac436cfe722939d23bd479bf4c636b3da2275a

See more details on using hashes here.

File details

Details for the file qappuccinolibrary-0.1.10-py3-none-any.whl.

File metadata

File hashes

Hashes for qappuccinolibrary-0.1.10-py3-none-any.whl
Algorithm Hash digest
SHA256 38ef9fde58254e0bc45dbf7f80997fe232cc9404330af2b58d5f83e740bc73f4
MD5 8e43b40b9302332228aa009515280dc7
BLAKE2b-256 04836ae3f9714f93d48238c98d82e4956ee3522e5d2c0b3ba24fac57cfdaf1a8

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