# ==================================================================== #
# TITLE:                                                               #
# AMR: An R Package for Working with Antimicrobial Resistance Data     #
#                                                                      #
# SOURCE CODE:                                                         #
# https://github.com/msberends/AMR                                     #
#                                                                      #
# PLEASE CITE THIS SOFTWARE AS:                                        #
# Berends MS, Luz CF, Friedrich AW, et al. (2022).                     #
# AMR: An R Package for Working with Antimicrobial Resistance Data.    #
# Journal of Statistical Software, 104(3), 1-31.                       #
# https://doi.org/10.18637/jss.v104.i03                                #
#                                                                      #
# Developed at the University of Groningen and the University Medical  #
# Center Groningen in The Netherlands, in collaboration with many      #
# colleagues from around the world, see our website.                   # 
#                                                                      #
# This R package is free software; you can freely use and distribute   #
# it for both personal and commercial purposes under the terms of the  #
# GNU General Public License version 2.0 (GNU GPL-2), as published by  #
# the Free Software Foundation.                                        #
# We created this package for both routine data analysis and academic  #
# research and it was publicly released in the hope that it will be    #
# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY.              #
#                                                                      #
# Visit our website for the full manual and a complete tutorial about  #
# how to conduct AMR data analysis: https://msberends.github.io/AMR/   #
# ==================================================================== #

on:
  push:
    # only on main
    branches: 'main_UPDATE_THIS'

name: Publish Python Package to PyPI

jobs:
  update-pypi:
    runs-on: ubuntu-latest
    
    steps:
      
      - name: Checkout code
        uses: actions/checkout@v3
      
      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: '3.9'
        
      - name: Install dependencies
        run: |
          python -m pip install --upgrade pip
          pip install build twine
        
      - name: Build the package
        run: python -m build
      
      - name: Publish to PyPI
        env:
          TWINE_USERNAME: "msberends"
          TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }}
        run: |
          python -m twine upload dist/*
        # for test server:
        # python -m twine upload --repository-url https://test.pypi.org/legacy/ dist/*