Airbrake collects errors generated by other applications, and aggregates the results for review.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Airbrake API facilitates real-time error monitoring and automatic exception reporting for your web applications, giving you instant insight into issues as they arise. With this API, you can create custom notifications, analyze and aggregate error data, and manage your project's error trends. Leveraging Pipedream's capabilities, you can automate workflows that respond to these errors, connect with other services for enhanced issue resolution, and maintain a smooth operation within your development and production environments.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
airbrake: {
type: "app",
app: "airbrake",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.airbrake.io/api/v4/projects`,
params: {
key: `${this.airbrake.$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}}