Skip to main content

Internet-ML: Allowing ML to connect to the internet

Project description

Internet-ML: Allowing ML to connect to the internet

Build status Python Version Dependencies Status

Code style: black Security: bandit Pre-commit Semantic Versions License Coverage Report

Very first steps

Initialize your code

  1. Initialize git inside your repo:
cd internet-ml && git init
  1. If you don't have Poetry installed run:
make poetry-download
  1. Initialize poetry and install pre-commit hooks:
make install
make pre-commit-install
  1. Run the codestyle:
make codestyle
  1. Upload initial code to GitHub:
git add .
git commit -m ":tada: Initial commit"
git branch -M main
git remote add origin https://github.com/internet-ml/internet-ml.git
git push -u origin main

Set up bots

  • Set up Dependabot to ensure you have the latest dependencies.
  • Set up Stale bot for automatic issue closing.

Poetry

Want to know more about Poetry? Check its documentation.

Details about Poetry

Poetry's commands are very intuitive and easy to learn, like:

  • poetry add numpy@latest
  • poetry run pytest
  • poetry publish --build

etc

Building and releasing your package

Building a new version of the application contains steps:

  • Bump the version of your package poetry version <version>. You can pass the new version explicitly, or a rule such as major, minor, or patch. For more details, refer to the Semantic Versions standard.
  • Make a commit to GitHub.
  • Create a GitHub release.
  • And... publish 🙂 poetry publish --build

🎯 What's next

Well, that's up to you 💪🏻. I can only recommend the packages and articles that helped me.

  • Typer is great for creating CLI applications.
  • Rich makes it easy to add beautiful formatting in the terminal.
  • Pydantic – data validation and settings management using Python type hinting.
  • Loguru makes logging (stupidly) simple.
  • tqdm – fast, extensible progress bar for Python and CLI.
  • IceCream is a little library for sweet and creamy debugging.
  • orjson – ultra fast JSON parsing library.
  • Returns makes you function's output meaningful, typed, and safe!
  • Hydra is a framework for elegantly configuring complex applications.
  • FastAPI is a type-driven asynchronous web framework.

Articles:

🚀 Features

Development features

Deployment features

Open source community features

Installation

pip install -U internet-ml

or install with Poetry

poetry add internet-ml

Then you can run

internet-ml --help

or with Poetry:

poetry run internet-ml --help

Makefile usage

Makefile contains a lot of functions for faster development.

1. Download and remove Poetry

To download and install Poetry run:

make poetry-download

To uninstall

make poetry-remove

2. Install all dependencies and pre-commit hooks

Install requirements:

make install

Pre-commit hooks coulb be installed after git init via

make pre-commit-install

3. Codestyle

Automatic formatting uses pyupgrade, isort and black.

make codestyle

# or use synonym
make formatting

Codestyle checks only, without rewriting files:

make check-codestyle

Note: check-codestyle uses isort, black and darglint library

Update all dev libraries to the latest version using one comand

make update-dev-deps

4. Code security

make check-safety

This command launches Poetry integrity checks as well as identifies security issues with Safety and Bandit.

make check-safety

5. Type checks

Run mypy static type checker

make mypy

6. Tests with coverage badges

Run pytest

make test

7. All linters

Of course there is a command to rule run all linters in one:

make lint

the same as:

make test && make check-codestyle && make mypy && make check-safety

8. Docker

make docker-build

which is equivalent to:

make docker-build VERSION=latest

Remove docker image with

make docker-remove

More information about docker.

9. Cleanup

Delete pycache files

make pycache-remove

Remove package build

make build-remove

Delete .DS_STORE files

make dsstore-remove

Remove .mypycache

make mypycache-remove

Or to remove all above run:

make cleanup

📈 Releases

You can see the list of available releases on the GitHub Releases page.

We follow Semantic Versions specification.

We use Release Drafter. As pull requests are merged, a draft release is kept up-to-date listing the changes, ready to publish when you’re ready. With the categories option, you can categorize pull requests in release notes using labels.

List of labels and corresponding titles

Label Title in Releases
enhancement, feature 🚀 Features
bug, refactoring, bugfix, fix 🔧 Fixes & Refactoring
build, ci, testing 📦 Build System & CI/CD
breaking 💥 Breaking Changes
documentation 📝 Documentation
dependencies ⬆️ Dependencies updates

You can update it in release-drafter.yml.

GitHub creates the bug, enhancement, and documentation labels for you. Dependabot creates the dependencies label. Create the remaining labels on the Issues tab of your GitHub repository, when you need them.

🛡 License

License

This project is licensed under the terms of the GNU GPL v3.0 license. See LICENSE for more details.

📃 Citation

@misc{internet-ml,
  author = {Thamognya Kodi},
  title = {Internet-ML: Allowing ML to connect to the internet},
  year = {2022},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/thamognya/internet-ml}}
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

internet_ml-3.1.0.tar.gz (37.4 kB view details)

Uploaded Source

Built Distribution

internet_ml-3.1.0-py3-none-any.whl (37.1 kB view details)

Uploaded Python 3

File details

Details for the file internet_ml-3.1.0.tar.gz.

File metadata

  • Download URL: internet_ml-3.1.0.tar.gz
  • Upload date:
  • Size: 37.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.1 CPython/3.10.9 Darwin/22.1.0

File hashes

Hashes for internet_ml-3.1.0.tar.gz
Algorithm Hash digest
SHA256 9155af89029609184c7275b4c5bdca9d0344dda779a43145ef49b47933f5c1c4
MD5 aacbcad94918268c5c3ddcbfe5d7c8a5
BLAKE2b-256 2747bd9d634b14d962af6197071820041d9c2800564dc2fd1fbcdea4e84b2f46

See more details on using hashes here.

File details

Details for the file internet_ml-3.1.0-py3-none-any.whl.

File metadata

  • Download URL: internet_ml-3.1.0-py3-none-any.whl
  • Upload date:
  • Size: 37.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.1 CPython/3.10.9 Darwin/22.1.0

File hashes

Hashes for internet_ml-3.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c37d7b636abde87d72e8f5347e8510220e210a619f459b9017c8b0a95e569f91
MD5 59b0be68e91f030da7e737ddc34202f3
BLAKE2b-256 1cec5b4fa176c36109904962802fb0e2f2301c837edf7231d40c93d4043c1a5c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page