Simple Python deployments with Miniconda

conda-deployment.1.setup.sh

# One time setup

# Install Miniconda
wget -O src/miniconda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
bash src/miniconda.sh -b -p $HOME/miniconda
export PATH="$HOME/miniconda/bin:$PATH"

# Get the source
git clone https://github.com/datasciencejob-de/data-science-python-setup.git .

# Create the environment
conda env create -f environment.yml

conda-deployment.2.deployment.sh

# Deployment that needs to run on every deploy

export PATH="$HOME/miniconda/bin:$PATH"

# Checkout the new source
git reset --hard
git fetch origin
git checkout --force origin/master

# Update the environment
conda env update -f environment.yml

# Activate the environment
. activate data-science-project

# Run your app
# python main.py  # and boom goes the dynamite