a. Why scripts instead of Jupyter notebook
b. Conversion from ipynb to .py
c. Make the scripts configurable [Click]
d. Include logging [logging]
e. Make sure the local environment is the same [Conda env]
f. Include unit test and basic CI [pytest, GitHub Action]
g. Autoformat the script style [black, isort]

.
├── README.md
├── __init__.py
├── .github/workflows         [f]
├── autoformat.sh             [g]
├── data
│   ├── predict.csv           [b]
│   ├── test.csv              [b]
│   ├── train.csv             [b]
│   └── winequality.csv
├── log
│   ├── etl.log               [d]
│   ├── predict.log           [d]
│   └── train.log             [d]
├── model
│   └── model.pkl             [b]
├── notebook
│   └── prediction-of-quality-of-wine.ipynb [a]
├── requirement.txt           [e]
└── scripts
    ├── config.yml            [c]
    ├── etl.py                [b, c]
    ├── predict.py            [b, c]
    ├── test_train.py         [f]
    ├── test_utility.py       [f]
    ├── train.py              [b, c]
    └── utility.py

git clone https://github.com/G-Hung/model-productization_article.git

cd model-productization_article

conda create - name YOU_CHANGE_THIS python=3.7 -y

conda activate YOU_CHANGE_THIS

pip install –r requirements.txt

python3 ./scripts/etl.py
python3 ./scripts/train.py
python3 ./scripts/predict.py

pytest

# If you get permission error, you can try
# chmod +rx autoformat.sh

./autoformat.sh

conda deactivate
conda remove –name YOU_CHANGE_THIS –all

a. Update conda env [requirements.txt]
b. Brainstorm pseudocode and convert to code [FastAPI, uvicorn]
c. Utilize API [cURL, requests, Postman]
d. Talk about Auto-generated documents by FastAPI
e. Something about pytest [parallel, parameterized, -v]

.
├── README.md
├── autoformat.sh
├── data
│   ├── predict.csv
│   ├── test.csv
│   ├── train.csv
│   └── winequality.csv
├── log
│   ├── etl.log
│   ├── predict.log
│   └── train.log
├── model
│   ├── gb_model.pkl
│   └── rf_model.pkl
├── notebook
│   ├── prediction-of-quality-of-wine.ipynb
│   └── prediction_API_test.ipynb              [c]
├── prediction_api
│   ├── __init__.py
│   ├── api_utility.py                         [b]
│   ├── main.py                                [b]
│   ├── mock_data.py                           [e]
│   ├── test_api_utility.py                    [e]
│   └── test_main.py                           [e]
├── requirements.txt                           [a]
└── scripts
    ├── config.yml
    ├── etl.py
    ├── predict.py
    ├── test_train.py
    ├── test_utility.py
    ├── train.py
    └── utility.py

conda create - name YOU_CHANGE_THIS python=3.7 -y
conda activate YOU_CHANGE_THIS
pip install –r requirements.txt

uvicorn prediction_api.main:app --reload