with Beaconchain and Python?
Returns information for a specified epoch by the epoch number or an epoch tag (can be latest or finalized). See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Retrieve execution blocks by execution block number. See the documentation
Returns all slots for a specified epoch. See the documentation
Returns information for all validators up to 100 by index or public key. See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
beaconchain: {
type: "app",
app: "beaconchain",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.beaconchain.$auth.url}/api/v1/slot/1`,
headers: {
"apikey": `${this.beaconchain.$auth.api_key}`,
},
})
},
})
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:
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}}