with Papertrail and Python?
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Papertrail API provides access to its log management and analysis service, enabling you to programmatically query logs, retrieve system events, and manage log destinations. Integrating Papertrail with Pipedream allows you to automate reactions to log events, analyze log data, and connect log insights with other services for notifications, data storage, or further processing. By leveraging Papertrail's API, you can craft tailored serverless workflows on Pipedream that respond in real-time to your logging needs.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
papertrail: {
type: "app",
app: "papertrail",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://papertrailapp.com/api/v1/systems.json`,
headers: {
"X-Papertrail-Token": `${this.papertrail.$auth.api_token}`,
},
})
},
})
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}}