showenv 0.1

Show informations about project, python, pip, libraries and OS

Easy env

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é uma ferramenta de CLI para preparar o ambiente de desenvolvimento e reprodução para projetos de data science/ machine learning/ deep learning.

• Suitable for implementing the config requirements of a 12-factor app: https://12factor.net/config

Features

• instala os pré-requisitos no S.O
• instala o Python3
• instala virtualEnv
• install Pipenv
• Delete all compiled Python files
• Apply Lint using flake8
• Test if environment contains Python3
• Running on virtual environment
• Running on isolation environment
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Which diference to Anaconda ?

• Anaconda need extended dependencies
• Anaconda dont install pré-requisitos no S.O
• Anaconta dont apply linter
• Anaconda dont generate file with configuration environment
• Anaconta dont tree in each project

Running

1. Local
2. Development: Virtual Environment
3. Deploy: Container

Running in Local

• Install Python Dependencies, Test python environment and Delete all compiled Python files.

sudo make

# Available rules:

# clean               Delete all compiled Python files
# lint                Lint using flake8
# prereq              Install Python Dependencies
# test_environment    Test python environment is setup correctly

make prereq
make test_environment
make clean

• Install the libraries

pip3 install -r virtualenv_requirements.txt # libs necessary to prepare virtual environment
pip3 install -r requirements.txt            # libs necessary in notebooks

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Running in Virtual Environment

• Create virtual environment

bash create_virtual_env.sh

• Activate this semi-isolated environment

source venv/bin/activate

• Install the libraries

pip3 install -r virtualenv_requirements.txt # libs necessary to prepare virtual environment
pip3 install -r requirements.txt            # libs necessary in notebooks

pipenv --python 3 # libs necessary to prepare virtual environment
pipenv install -e pipefile

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Running in Container

• Necessary be in home this project

name_project=$(basename "$(pwd)")
echo $name_project
sudo docker build --no-cache -t $name_project -f src/environment/container/Dockerfile .
sudo docker run -it -p 8888:8888 $name_project