quick-pypi 0.0.4

The simplest and quickest way to build and publish a PyPI package

Quick-PyPI

The simplest and quickest way to build and publish a PyPI package

Installation

pip install quick-pypi

Minimum Example

Before you start, you need to have several things:

• Determine a unique PyPI package name, easy to remember, like 'quick-pypi-test';
• Have a PyPI account, then export your upload token to a txt file in your computer;
• Use PyCharm IDE or VSCode to develop your own package. We support Jupyter Notebook now!

Step 1: Prepare your project tree like:

Project Root
 -- src
   -- your_package_name
     -- __init__.py
     -- your_class.py   # where you can write your own code!
 -- dists               # auto generated folder storing uploading version history
   -- 0.0.1
   -- 0.0.2
   -- ...
   -- VERSION           # a file storing the latest version of uploading
 quick_pypi.py          # Main settings of uploading package

Step 2: The simplest quick_pypi.py file content is below:

from quick_pypi.deploy import *
auto_deploy(
    cwd=os.path.dirname(os.path.realpath(__file__)), # When using jupyter notebook, using `cwd=os.getcwd()`
    name="quick-pypi-test",
    description="This is a quick-pypi-test package!",
    pypi_token='../../pypi_upload_token.txt', # the token string or path from your PyPI account
)

Step 3: Deploy the package to PyPI server

After you finish writing your codes in the src package, you can just simply right-click the quick-pypi.py to run, and wait for its completion.

Step 4: Check if the package is uploaded successfully!

Complicated Example settings for advanced users

A real example is here:

from quick_pypi.deploy import *
# or you can use: `from quick_pypi.deploy_toml import *`

auto_deploy(
    cwd=os.path.dirname(os.path.realpath(__file__)),
    name="pyrefworks",
    long_name="A Python Toolkit for RefWorks Data Analysis",
    description="Converting RefWorks files into a CSV table file",
    long_description="This is a project to convert RefWork files to a CSV file",
    src_root="src",
    dists_root=f"dists",
    pypi_token='../pypi_upload_token.txt', # a file storing the token from your PyPI account
    test=False, # determine if uploading to test.pypi.org
    version="0.0.1a0", # fixed version when uploading or using version='auto'
    project_url="http://github.com/dhchenx/pyrefworks",
    author_name="Donghua Chen",
    author_email="[e-mail]",
    requires="quick-csv",
    license='MIT',
    license_filename='LICENSE',
    keywords="refworks, csv file",
    github_username="dhchenx",
    max_number_micro=20, # major.minor.micro
    max_number_minor=20, # version maximum numbers in each part, e.g. 0.0.20 --> 0.1.0; 0.20.20 --> 1.0.0
    # only_build=True
)

Here you can provide more information about your package, like setting your author's name, email, license, short or long names and descriptions, etc.

Deploy to local computer without upload

import quick_pypi as qp

qp.deploy(
    src_root="src",
    dist_root='data/dist1',
   # name="quick-pypi-test",
   # description="This is a quick-pypi project",
    version="0.0.1a0", # fixed version number, wont change
   # project_url="http://github.com/dhchenx/quick-pypi-test",
   #  author_name="Donghua Chen",
    # author_email="[e-mail]",
    # requires="jieba;quick-crawler",
    # license='MIT',
    # license_filename='LICENSE'

)

This will generate a series of actual package files (e.g. README.md, LICENSE,setup.py, etc. ).

Then, you can manually build the package through twine in the directory of dist1.

An example using our toolkit to deploy in the PyPI platform is demonstrated here.

License

The quick-pypi project is provided by Donghua Chen.