Grafbase
Grafbase is the easiest way to build and deploy GraphQL backends.
Integrate the Grafbase API with the Python API
Setup the Grafbase API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Grafbase and Python remarkably fast. Free for developers.
Popular Grafbase and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Grafbase#
The Grafbase API allows you to interact with your Grafbase backend, enabling CRUD operations on your data models, managing authentication, and triggering custom business logic. Grafbase provides real-time updates and serverless deployment which makes it a perfect partner for Pipedream's serverless platform. You can build workflows to automate tasks, integrate with various services, and respond to events without managing infrastructure.
Connect Grafbase#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
grafbase: {
type: "app",
app: "grafbase",
}
},
async run({steps, $}) {
const data = {
"query": `{
__schema {
types {
name
}
}
}`,
}
return await axios($, {
method: "post",
url: `${this.grafbase.$auth.url}`,
headers: {
"Content-Type": `application/json`,
"x-api-key": `${this.grafbase.$auth.api_key}`,
},
data,
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}