Metadata-Version: 2.1
Name: expert_intelligence_toolbox
Version: 0.0.3
Summary: This is (for now) a test.
Project-URL: Homepage, https://github.com/Point-Topic/expert_intelligence_toolbox
Project-URL: Bug Tracker, https://github.com/Point-Topic/expert_intelligence_toolbox/issues
Author-email: Arnold Kuersteiner <arnold.kuersteiner@expert-intelligence.com>
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Description-Content-Type: text/markdown

# expert_intelligence_toolbox
This is an experimental v0.1, which currently serves no function other than testing.
Hello update.

## Internal:
Follow this:
https://packaging.python.org/en/latest/tutorials/packaging-projects/

A package needs:

- pyproject.toml (used to define the metadata and configuration for your package. It provides information such as the package name, version, dependencies, and other details required for installation and distribution.)
- README.md: This file contains the documentation and information about your package. It is commonly written in Markdown format and serves as the main entry point for users and developers to understand how to use your package.

- LICENSE: This file includes the license under which your package is distributed. It is important to choose and include the appropriate license file, as we discussed in the previous response.

- requirements.txt or pyproject.toml: These files are used to specify the dependencies required by your package. requirements.txt is a common format that lists the package names and versions, while pyproject.toml is used in the context of projects using the Poetry dependency manager.


# How to get the package ready.

1 - Make a 'wheel' and source distribution file (you pack the source code as binary and tar file)
`py -m pip install --upgrade build`
`py -m build`

2 - go to https://test.pypi.org/account/register/ and complete the steps on that page. Verify your email address.

3 - To securely upload your project, you’ll need a PyPI API token. Create one at https://test.pypi.org/manage/account/#api-tokens, setting the “Scope” to “Entire account”. Don’t close the page until you have copied and saved the token — you won’t see that token again.

4 - Upload to PyPI test index
`py -m pip install --upgrade twine`
`py -m twine upload --repository testpypi dist/*`
Username: __token__
PW: enter your token here (WARNING - CTRL-V WILL NOT WORK. IN VSCODE: Edit --> Paste)

5 - you can pull your own package from 
py -m pip install --index-url https://test.pypi.org/simple/ --no-deps expert_intelligence_toolbox

6 - make a real package
delete `dist` directory
`py -m build`
`py -m twine upload dist/*`
Username: __token__
PW: enter your token here (WARNING - CTRL-V WILL NOT WORK. IN VSCODE: Edit --> Paste)


5 - What if you make any changes? Just repeat.
Change version number.
`twine upload --skip-existing dist/*`
`twine upload --skip-existing --repository testpypi dist/*` (for testpypi)