nsa-pythonik 1.12.1

Python SDK for Iconik's API

Pythonik

Pythonik is a comprehensive Python SDK designed for seamless interaction with the Iconik API. It offers a user-friendly interface to access various functionalities of Iconik, making it easier for developers to integrate and manage Iconik assets and metadata within their applications.

Features

• Easy-to-use methods for accessing Iconik assets and metadata.
• Robust handling of API authentication and requests.
• Configurable timeout settings for API interactions.

Installation

You can install Pythonik directly from PyPI:

pip install nsa-pythonik

If you're using Poetry:

poetry add nsa-pythonik

Usage

Get an Asset from Iconik

To retrieve an asset from Iconik, use the following code:

from pythonik.client import PythonikClient
from pythonik.models.assets.assets import Asset
from pythonik.models.base import Response

app_id = secrets.get_secret("app_id")
auth_token = secrets.get_secret("auth_token")
asset_id = secrets.get_secret("asset_id")

client: PythonikClient = PythonikClient(app_id=app_id, auth_token=auth_token, timeout=10)


res: Response = client.assets().get(asset_id)
data: Asset = res.data
data_as_dict = data.model_dump()
data_as_json = data.model_dump_json()

Get Metadata from a View

To get metadata for an asset from a specific view, use the following code:

from pythonik.client import PythonikClient
from pythonik.models.assets.metadata import ViewMetadata
from pythonik.models.base import Response

app_id = secrets.get_secret("app_id")
auth_token = secrets.get_secret("auth_token")

asset_id = 'a31sd2asdf123jasdfq134'
view_id = 'a12sl34s56asdf123jhas2'

client: PythonikClient = PythonikClient(app_id=app_id, auth_token=auth_token, timeout=5)

default_model = ViewMetadata()
# intercept_404 intercepts 404 errors if no metadata is found in view and returns a ViewMetadata model you provide so you can handle the error gracefully
res: Response = client.metadata().get_asset_metadata(asset_id, view_id, intercept_404=default_model)
data: ViewMetadata = res.data
data_as_dict = data.model_dump()
data_as_json = data.model_dump_json()

Connecting to Different Iconik Environments

By default, Pythonik connects to the standard Iconik environment (https://app.iconik.io). To connect to a different Iconik environment, you can specify the base URL when initializing the client:

from pythonik.client import PythonikClient

client = PythonikClient(
    app_id=app_id,
    auth_token=auth_token,
    timeout=10,
    base_url="https://your-custom-iconik-instance.com"
)

This is useful when working with:

• AWS Iconik deployments
• Custom Iconik deployments (assuming this is possible)

Checkout the API reference and advanced usage guide to see all you can do with Pythonik.

Publishing to PyPI (for maintainers)

To publish a new version to PyPI please see the release how-to guide.

Using Poetry

This project uses Poetry for dependency management and packaging. Below are instructions on how to work with Poetry, create a Poetry shell, and run tests using pytest.

Setting Up Poetry

First, install Poetry if you haven't already:

Creating a Poetry Shell

To create and activate a Poetry shell, which sets up an isolated virtual environment for your project:

1. Navigate to your project directory.

2. Run the following command:

   poetry shell
   

This command will activate a virtual environment managed by Poetry. You can now run Python commands and scripts within this environment.

Install all dependencies including pytest

    poetry install

Running Tests with pytest

To run tests using pytest, follow these steps:

1. Inside the Poetry shell, run the tests with the following command:

   pytest
   

This will discover and execute all the tests in your project.

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By following these steps, you can efficiently manage dependencies, create a virtual environment, and run tests in your Python project using Poetry.

Support

For support, please contact NSA.

Roadmap

Details about upcoming features and enhancements will be added here.

Contributing

Please see the contribution guide for information on how to contribute.

Authors and Acknowledgment

This SDK is developed and maintained by North Shore Automation developers, including Brant Goddard, Prince Duepa, Giovann Wah, and Brandon Dedolph.

Contributors

License

License information will be available soon.

Project Status

Current project status and updates will be posted here.