https://github.com/demorgan104/dat

Technology development platform for the modern C/C++ developer
https://github.com/demorgan104/dat

artifactory bazel c conan cpp devops embedded-systems prototyping

Last synced: 2 months ago
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Technology development platform for the modern C/C++ developer

• Host: GitHub
• URL: https://github.com/demorgan104/dat
• Owner: demorgan104
• License: gpl-3.0
• Created: 2021-01-04T12:31:20.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-04-10T16:14:50.000Z (over 2 years ago)
• Last Synced: 2024-04-24T01:02:27.759Z (8 months ago)
• Topics: artifactory, bazel, c, conan, cpp, devops, embedded-systems, prototyping
• Language: Python
• Homepage:
• Size: 76.2 MB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Welcome to DAT !

Accelerate the development of your C/C++ project.

Hit the star for support. New features will be added.

Generate your package:

![dat_new](img/dat_new.gif)

Use it:

![dat_flow](img/dat_flow.gif)

DAT is setting up the following for you:

- a standard repository structure

- the [Conan](https://conan.io/) package flow

- use any build tool you want

- the starter package generated with dat new contains a basic Bazel build with GTest integrated

- release the package in [Artifactory](https://jfrog.com/artifactory/)

- documentation with [Mkdocs](https://www.mkdocs.org/)

- through extensions, testing and running your package (check the extensions folder)

Create your own templates and generate your own packages using DAT.

Although a work in progress, DAT provides already the basics to start using it and benefit from increased development efficiency.

## Write your own templates and use them:

`

    dat new -n  -t  -d 

`

Check https://github.com/demorgan104/dat-templates.git for samples.







# Getting started

## Install DAT in your python environment

    Clone DAT:

        git clone https://github.com/demorgan104/dat

        

    Make sure your Python version is 3.9.0

    Create a python virtual environment:

        python -m venv ./venv

    Activate the virtual environment

        Windows:

          venv/Scripts/activate

        Macos:

          source venv/bin/activate

    Install DAT:

        python setup.py install

    Test the setup:

        dat -h

## Using DAT

Typical usage:

- Generate a package:

    `

        dat new -n dat_hello

    `

- Change the directory to your package:

    `

        cd dat_hello

    `

- Build your package:

   

   This step requires the installation of Bazel: https://docs.bazel.build/versions/4.1.0/install.html

   

    `

        dat build

    `

- Test the package:

    `

        dat test

    `

    This test is for both testing that the package can be used by other packages and executing the unit tests.

- Check the documentation:

    `

        dat document

    `

- Run the application (this works for desktop apps only of course):

    `

        dat run

    `

- Releasing to artifactory:

    For this you need to setup an artifactory server. You can use the following repo for the demo: https://github.com/demorgan104/dat-infrastructure

    Clone this repo and navigate to artifactory directory. There you can run:

        `

            docker-compose up

        `

    DAT is for the moment configured to work with that and there is no portable configuration available. Feel free to open a pull request for that or modify the source code :)

    Then you can use:

        `

            dat release

        `







DAT Commands

NAME|DESCRIPTION

----|-----------

dat new|Create a new ready to use package

dat build|Build a package

dat release|Release a package

dat test|Test your package

dat run|Run your executable

dat document|Check your documentation













# DAT Repositories

NAME|DESCRIPTION|LINK

----|-----------|----

dat|Dat main repository|https://github.com/demorgan104/dat

dat-infrastructure|Dat package infrastructure repo|https://github.com/demorgan104/dat-infrastructure

dat-templates|Templates for DAT|https://github.com/demorgan104/dat-templates.git