Welcome to DAT !

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

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

Generate your package:

Use it:

DAT is setting up the following for you:

• a standard repository structure
• the Conan 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
• documentation with Mkdocs
• 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 <package_name> -t <your_template_file> -d <destination>

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

DAT Repositories