Honeybadger
Zero-instrumentation, 360 degree coverage of errors, outages and service degradation
Integrate the Honeybadger API with the Python API
Setup the Honeybadger API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Honeybadger and Python remarkably fast. Free for developers.
Popular Honeybadger and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Honeybadger#
The Honeybadger API lets you tap into a real-time error tracking and monitoring service designed for web developers. It provides hooks to get notified about errors, track deployments, and manage error occurrences in your apps. With Pipedream, you can harness this API to automate responses to errors, synchronize error data across systems, and create customized alerts that feed into your team's communication channels or task management tools.
Connect Honeybadger#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
honeybadger: {
type: "app",
app: "honeybadger",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.honeybadger.io/v2/projects`,
headers: {
"Accept": `application/json`,
},
auth: {
username: `${this.honeybadger.$auth.api_token}`,
password: ``,
},
})
},
})
Overview of Python#
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:
Connect Python#
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}}