Inspect your AI models visually, find bugs, give feedback 🕵️♀️ 💬
Project description
Giskard Client
Very first steps
Initial
-
Clone the project in a local directory
-
Using
pyenv
setup a local python 3.7 -
If you don't have
Poetry
installed run:
make download-poetry
- Initialize poetry and install
pre-commit
hooks:
make install
- Tests folder contain scripts that can upload data to your Giskard Backend. Run them using
make test
Or individually:
poetry run pytest tests/model_inspector/test_upload_text_classification.py
Make sure you have setup the correct URL, as well as your Giskard API token in a .env
file at the root of the project.
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 asmajor
,minor
, orpatch
. 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:
- Open Source Guides.
- A handy guide to financial support for open source
- GitHub Actions Documentation.
- Maybe you would like to add gitmoji to commit names. This is really funny. 😄
🚀 Features
Development features
- Supports for
Python 3.7
and higher. Poetry
as the dependencies manager. See configuration inpyproject.toml
andsetup.cfg
.- Automatic codestyle with
black
,isort
andpyupgrade
. - Ready-to-use
pre-commit
hooks with code-formatting. - Type checks with
mypy
; docstring checks withdarglint
; security checks withsafety
andbandit
- Testing with
pytest
. - Ready-to-use
.editorconfig
,.dockerignore
, and.gitignore
. You don't have to worry about those things.
Deployment features
GitHub
integration: issue and pr templates.Github Actions
with predefined build workflow as the default CI/CD.- Everything is already set up for security checks, codestyle checks, code formatting, testing, linting, docker builds, etc with
Makefile
. More details in makefile-usage. - Dockerfile for your package.
- Always up-to-date dependencies with
@dependabot
. You will only enable it. - Automatic drafts of new releases with
Release Drafter
. You may see the list of labels inrelease-drafter.yml
. Works perfectly with Semantic Versions specification.
Open source community features
- Ready-to-use Pull Requests templates and several Issue templates.
- Files such as:
LICENSE
,CONTRIBUTING.md
,CODE_OF_CONDUCT.md
, andSECURITY.md
are generated automatically. Stale bot
that closes abandoned issues after a period of inactivity. (You will only need to setup free plan). Configuration is here.- Semantic Versions specification with
Release Drafter
.
Installation
pip install -U giskard-client
or install with Poetry
poetry add giskard-client
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
usesisort
,black
anddarglint
library
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
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
Or to remove pycache, build and docker image run:
make clean-all
📈 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
This project is licensed under the terms of the Apache Software License 2.0
license. See LICENSE for more details.
📃 Citation
@misc{giskard-client,
author = {Giskard AI},
title = {Inspect your AI models visually, find bugs, give feedback 🕵️♀️ 💬},
year = {2021},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/Giskard-AI/giskard-client
}
Credits ![🚀 Your next Python package needs a bleeding-edge project structure.](https://pypi-camo.freetls.fastly.net/06759df61ed58ed0d117ce78b7d8db438e70127f/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f707974686f6e2d2d7061636b6167652d2d74656d706c6174652d2546302539462539412538302d627269676874677265656e)
This project was generated with python-package-template
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