This project aims to combine the awesome capabilities of BentoML in packaging models with the powerful Seldon Core engine to deploy such models. It also features an optional cache using Redis that can also be used to make the feedback loop easier by using the request ID to get back the original request and response. For now, it was created for internal use and is in alpha state. But it will soon be prepared to be used by everyone.
Project description
bento2seldon
This project aims to combine the awesome capabilities of BentoML in packaging models with the powerful Seldon Core engine to deploy such models. It also features an optional cache using Redis that can also be used to make the feedback loop easier by using the request ID to get back the original request and response. For now, it was created for internal use and is in alpha state. But it will soon be prepared to be used by everyone.
Installation
pip install -U bento2seldon
or install with Poetry
poetry add bento2seldon
Makefile usage
Makefile
contains many functions for fast assembling and convenient work.
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. 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.
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 slightly_smiling_face
poetry publish --build
🛡 License
This project is licensed under the terms of the Apache Software License 2.0
license. See LICENSE for more details.
📃 Citation
@misc{bento2seldon,
author = {fernandocamargoai},
title = {Bento2Seldon: A package to run BentoML models in a Kubernetes cluster with Seldon},
year = {2021},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/fernandocamargoai/bento2seldon}}
}
Credits
This project was generated with python-package-template
Project details
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