One complete SRE and DevOps platform.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
OneUptime's API provides the tools to monitor applications and servers, track incidents, and manage uptime from a developer's point of view. With Pipedream, you can leverage this API to create automated workflows that respond to uptime events, synchronize incident reports with other tools, and aggregate performance data for analysis. It's about connecting OneUptime's monitoring prowess with your existing infrastructure to automate responses, notifications, and reporting.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
oneuptime: {
type: "app",
app: "oneuptime",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://oneuptime.com/api/emailTemplate/${this.oneuptime.$auth.project_id}`,
headers: {
"apiKey": `${this.oneuptime.$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}}