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ai-inspector-0.1.2
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مشاهده بیشترتوضیحات
Inspect your AI models visually, find bugs, give feedback 🕵️♀️ 💬
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | ai-inspector-0.1.2 |
| نام | ai-inspector |
| نسخه کتابخانه | 0.1.2 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Giskard AI |
| ایمیل نویسنده | hello@giskard.ai |
| آدرس صفحه اصلی | https://github.com/Giskard-AI/ai-inspector |
| آدرس اینترنتی | https://pypi.org/project/ai-inspector/ |
| مجوز | Apache Software License 2.0 |
# AI Inspector
<div align="center">
[](https://github.com/Giskard-AI/ai-inspector/actions?query=workflow%3Abuild)
[](https://pypi.org/project/ai-inspector/)
[](https://github.com/Giskard-AI/ai-inspector/pulls?utf8=%E2%9C%93&q=is%3Apr%20author%3Aapp%2Fdependabot)
[](https://github.com/psf/black)
[](https://github.com/PyCQA/bandit)
[](https://github.com/Giskard-AI/ai-inspector/blob/main/.pre-commit-config.yaml)
[](https://github.com/Giskard-AI/ai-inspector/releases)
[](https://github.com/Giskard-AI/ai-inspector/blob/main/LICENSE)
Inspect your AI models visually, find bugs, give feedback 🕵️♀️ 💬
</div>
## Very first steps
### Initial
1. Clone the project in a local directory
2. Using `pyenv` setup a local python 3.7
3. If you don't have `Poetry` installed run:
```bash
make download-poetry
```
4. Initialize poetry and install `pre-commit` hooks:
```bash
make install
```
5. Tests folder contain scripts that can upload data to your Giskard Backend. Run them using
```bash
make test
```
Or individually:
```bash
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](https://python-poetry.org/docs/).
<details>
<summary>Details about Poetry</summary>
<p>
Poetry's [commands](https://python-poetry.org/docs/cli/#commands) are very intuitive and easy to learn, like:
- `poetry add numpy@latest`
- `poetry run pytest`
- `poetry publish --build`
etc
</p>
</details>
### 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](https://semver.org/) 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`](https://github.com/tiangolo/typer) is great for creating CLI applications.
- [`Rich`](https://github.com/willmcgugan/rich) makes it easy to add beautiful formatting in the terminal.
- [`Pydantic`](https://github.com/samuelcolvin/pydantic/) – data validation and settings management using Python type hinting.
- [`Loguru`](https://github.com/Delgan/loguru) makes logging (stupidly) simple.
- [`tqdm`](https://github.com/tqdm/tqdm) – fast, extensible progress bar for Python and CLI.
- [`IceCream`](https://github.com/gruns/icecream) is a little library for sweet and creamy debugging.
- [`orjson`](https://github.com/ijl/orjson) – ultra fast JSON parsing library.
- [`Returns`](https://github.com/dry-python/returns) makes you function's output meaningful, typed, and safe!
- [`Hydra`](https://github.com/facebookresearch/hydra) is a framework for elegantly configuring complex applications.
- [`FastAPI`](https://github.com/tiangolo/fastapi) is a type-driven asynchronous web framework.
Articles:
- [Open Source Guides](https://opensource.guide/).
- [A handy guide to financial support for open source](https://github.com/nayafia/lemonade-stand)
- [GitHub Actions Documentation](https://help.github.com/en/actions).
- Maybe you would like to add [gitmoji](https://gitmoji.carloscuesta.me/) to commit names. This is really funny. 😄
## 🚀 Features
### Development features
- Supports for `Python 3.7` and higher.
- [`Poetry`](https://python-poetry.org/) as the dependencies manager. See configuration in [`pyproject.toml`](https://github.com/Giskard-AI/ai-inspector/blob/main/pyproject.toml) and [`setup.cfg`](https://github.com/Giskard-AI/ai-inspector/blob/main/setup.cfg).
- Automatic codestyle with [`black`](https://github.com/psf/black), [`isort`](https://github.com/timothycrosley/isort) and [`pyupgrade`](https://github.com/asottile/pyupgrade).
- Ready-to-use [`pre-commit`](https://pre-commit.com/) hooks with code-formatting.
- Type checks with [`mypy`](https://mypy.readthedocs.io); docstring checks with [`darglint`](https://github.com/terrencepreilly/darglint); security checks with [`safety`](https://github.com/pyupio/safety) and [`bandit`](https://github.com/PyCQA/bandit)
- Testing with [`pytest`](https://docs.pytest.org/en/latest/).
- Ready-to-use [`.editorconfig`](https://github.com/Giskard-AI/ai-inspector/blob/main/.editorconfig), [`.dockerignore`](https://github.com/Giskard-AI/ai-inspector/blob/main/.dockerignore), and [`.gitignore`](https://github.com/Giskard-AI/ai-inspector/blob/main/.gitignore). You don't have to worry about those things.
### Deployment features
- `GitHub` integration: issue and pr templates.
- `Github Actions` with predefined [build workflow](https://github.com/Giskard-AI/ai-inspector/blob/main/.github/workflows/build.yml) as the default CI/CD.
- Everything is already set up for security checks, codestyle checks, code formatting, testing, linting, docker builds, etc with [`Makefile`](https://github.com/Giskard-AI/ai-inspector/blob/main/Makefile#L89). More details in [makefile-usage](#makefile-usage).
- [Dockerfile](https://github.com/Giskard-AI/ai-inspector/blob/main/docker/Dockerfile) for your package.
- Always up-to-date dependencies with [`@dependabot`](https://dependabot.com/). You will only [enable it](https://docs.github.com/en/github/administering-a-repository/enabling-and-disabling-version-updates#enabling-github-dependabot-version-updates).
- Automatic drafts of new releases with [`Release Drafter`](https://github.com/marketplace/actions/release-drafter). You may see the list of labels in [`release-drafter.yml`](https://github.com/Giskard-AI/ai-inspector/blob/main/.github/release-drafter.yml). Works perfectly with [Semantic Versions](https://semver.org/) specification.
### Open source community features
- Ready-to-use [Pull Requests templates](https://github.com/Giskard-AI/ai-inspector/blob/main/.github/PULL_REQUEST_TEMPLATE.md) and several [Issue templates](https://github.com/Giskard-AI/ai-inspector/tree/main/.github/ISSUE_TEMPLATE).
- Files such as: `LICENSE`, `CONTRIBUTING.md`, `CODE_OF_CONDUCT.md`, and `SECURITY.md` are generated automatically.
- [`Stale bot`](https://github.com/apps/stale) that closes abandoned issues after a period of inactivity. (You will only [need to setup free plan](https://github.com/marketplace/stale)). Configuration is [here](https://github.com/Giskard-AI/ai-inspector/blob/main/.github/.stale.yml).
- [Semantic Versions](https://semver.org/) specification with [`Release Drafter`](https://github.com/marketplace/actions/release-drafter).
## Installation
```bash
pip install -U ai-inspector
```
or install with `Poetry`
```bash
poetry add ai-inspector
```
### Makefile usage
[`Makefile`](https://github.com/Giskard-AI/ai-inspector/blob/main/Makefile) contains a lot of functions for faster development.
<details>
<summary>1. Download and remove Poetry</summary>
<p>
To download and install Poetry run:
```bash
make poetry-download
```
To uninstall
```bash
make poetry-remove
```
</p>
</details>
<details>
<summary>2. Install all dependencies and pre-commit hooks</summary>
<p>
Install requirements:
```bash
make install
```
Pre-commit hooks coulb be installed after `git init` via
```bash
make pre-commit-install
```
</p>
</details>
<details>
<summary>3. Codestyle</summary>
<p>
Automatic formatting uses `pyupgrade`, `isort` and `black`.
```bash
make codestyle
# or use synonym
make formatting
```
Codestyle checks only, without rewriting files:
```bash
make check-codestyle
```
> Note: `check-codestyle` uses `isort`, `black` and `darglint` library
<details>
<summary>4. Code security</summary>
<p>
```bash
make check-safety
```
This command launches `Poetry` integrity checks as well as identifies security issues with `Safety` and `Bandit`.
```bash
make check-safety
```
</p>
</details>
</p>
</details>
<details>
<summary>5. Type checks</summary>
<p>
Run `mypy` static type checker
```bash
make mypy
```
</p>
</details>
<details>
<summary>6. Tests</summary>
<p>
Run `pytest`
```bash
make test
```
</p>
</details>
<details>
<summary>7. All linters</summary>
<p>
Of course there is a command to ~~rule~~ run all linters in one:
```bash
make lint
```
the same as:
```bash
make test && make check-codestyle && make mypy && make check-safety
```
</p>
</details>
<details>
<summary>8. Docker</summary>
<p>
```bash
make docker-build
```
which is equivalent to:
```bash
make docker-build VERSION=latest
```
Remove docker image with
```bash
make docker-remove
```
More information [about docker](https://github.com/Giskard-AI/ai-inspector/tree/main/docker).
</p>
</details>
<details>
<summary>9. Cleanup</summary>
<p>
Delete pycache files
```bash
make pycache-remove
```
Remove package build
```bash
make build-remove
```
Or to remove pycache, build and docker image run:
```bash
make clean-all
```
</p>
</details>
## 📈 Releases
You can see the list of available releases on the [GitHub Releases](https://github.com/Giskard-AI/ai-inspector/releases) page.
We follow [Semantic Versions](https://semver.org/) specification.
We use [`Release Drafter`](https://github.com/marketplace/actions/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`](https://github.com/Giskard-AI/ai-inspector/blob/main/.github/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
[](https://github.com/Giskard-AI/ai-inspector/blob/main/LICENSE)
This project is licensed under the terms of the `Apache Software License 2.0` license. See [LICENSE](https://github.com/Giskard-AI/ai-inspector/blob/main/LICENSE) for more details.
## 📃 Citation
```bibtex
@misc{ai-inspector,
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/ai-inspector}}
}
```
## Credits [](https://github.com/TezRomacH/python-package-template)
This project was generated with [`python-package-template`](https://github.com/TezRomacH/python-package-template)
نیازمندی
| مقدار | نام |
|---|---|
| >=4.5.0,<5.0.0) | importlib_metadata |
| >=1.0.0,<2.0.0 | pandas |
| >=1.19.0,<2.0.0 | numpy |
| >=0.22.0,<0.25.0 | scikit-learn |
| >=1.7.1,<1.9.0 | pydantic |
| >=3.7.4,<4.0.0 | typing-extensions |
| >=1.3.0,<1.7.0 | cloudpickle |
| >=1.3.1,<2.0.0 | api-client |
| >=0.15.2,<0.16.0 | zstandard |
| >=0.17.0,<0.18.0 | python-dotenv |
| >=0.0.8,<0.0.9 | jupyter-http-over-ws |
| >=7.6.3,<8.0.0 | ipywidgets |
| >=2.25.8,<3.0.0 | types-requests |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7.1,<3.8.0 | Python |
نحوه نصب
نصب پکیج whl ai-inspector-0.1.2:
pip install ai-inspector-0.1.2.whl
نصب پکیج tar.gz ai-inspector-0.1.2:
pip install ai-inspector-0.1.2.tar.gz