Install Chalk in your notebook environment by running the following command in a cell:
!pip install chalkpy[all]
To use Chalk in a notebook, we will need to generate a client ID and secret key pair.
In the Chalk Dashboard, under Settings > Access Tokens, generate a client ID and secret key pair by clicking on New Token and selecting all necessary permissions.
We will need the client ID and client secret we generated to initialize a Chalk client in our notebook.
You can use the
ChalkClient from any Jupyter notebook environment.
If you are working with a local notebook, Chalk will pick up your credentials
generated from running
chalkpy login in your terminal.
All you need to do is initialize the client:
from chalk.client import ChalkClient client = ChalkClient()
On Deepnote, you can set environment variables by going to the integrations tab and clicking on the “Environment Variables” button.
CHALK_CLIENT_SECRET variables to the values you generated in the previous step.
You can then initialize Chalk by running the following code in a cell:
import os from chalk import ChalkClient client = ChalkClient()
Python 3.10 as the image under Environment > Compute Profile.
The Chalk client can then be initialized referencing the variables directly
from chalk import ChalkClient client = ChalkClient()
To start using Chalk in a notebook, we will need to create a branch deployment. Branch deployments are isolated environments that can be used to test features and resolvers before deploying them to production.
Working in a branch makes it seamless to iterate on features and resolvers in notebooks. Any time we execute a cell in our notebook with feature or resolver definitions, Chalk will automatically update our branch deployment with the latest changes.
Once you’ve got your client setup, you can create a branch calling
switch=True will point your client to the newly created branch.