with Scalr and Python?
Emit new event on each new completed run. See the documentation
Emit new event when a new run encountered an error. See the documentation
Emit new event when a new run needs attention. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Scalr API enables programmatic interaction with Scalr's infrastructure management and automation capabilities. On Pipedream, you can harness this API to create diverse workflows that automate cloud resource provisioning, management, and monitoring. These workflows can trigger on various events and integrate with other services to streamline your DevOps processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
scalr: {
type: "app",
app: "scalr",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.scalr.$auth.domain}.scalr.io/api/iacp/v3/users`,
headers: {
Authorization: `Bearer ${this.scalr.$auth.api_token}`,
"Prefer": `profile=preview`,
"Accept": `application/vnd.api+json`,
},
})
},
})
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}}