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Python Package Setup

Setup Base

To install required pip modules for generate_toml.py, run

source scripts/setup_base.sh

User Setup

  • go to generate_toml.py file, and complete the setup in the User Setup session.
options = Options(
    # Will you use the discussion session in your repo?
    discussion=False
)

# Define the general information of your package
kwargs = Kwargs(
    name_space="None",
    module_name="None",
    description="None",
)

If you wrote all the information, run

python generate_toml.py

Template

If you want to understand the generation process, check the template variable in generate_toml.py.

Setup Env

Prerequisite

Finish User Setup first. Of course, conda command must be available.

Setup Env

Run

source scripts/setup_env.sh

steps

  • create an conda environment named as your $MODULE_NAME
  • activate the environment.
  • install requirements.txt

Generate Private Env

Generate a private repository in this repo. I recommend you to write all the unstructured codes in this repo.

source scripts/generate_dev_repo.sh

It will ask you the name of your repo, and then, generate a repo named f'{your_repo_name}-dev'.

Usage Tip

If you wrote your codes in a wrong branch,

  • backup the files to the dev repo
  • remove changes in your main(not main branch) repo
  • move to your correct branch
  • place back the backup codes

Workflows

I currently setup test and release workflows.

Test

If you make a PR with the patterns [ main, develop, 'release/', 'feature/' ],

It will perform your unittest in ["3.9", "3.10", "3.11"]

Release

required secret : PYPI_API_TOKEN

I usually make PRs only when I start release branches. release workflow is not conducted automatically. If you think your branch is ready to be published,

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