Cloud infrastructure
Emit new event on each webhook event. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Heroku API offers programmatic access to Heroku's cloud platform, enabling developers to automate, extend, and integrate their app's lifecycle events with other services. With Pipedream, you can harness the Heroku API for powerful automation, such as managing apps, dynos, add-ons, and configuring scaling operations. Pipedream's ability to connect with multiple services allows for creating complex workflows, such as syncing your development pipeline with external project management tools or triggering alerts based on app metrics.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
heroku: {
type: "app",
app: "heroku",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.heroku.com/account`,
headers: {
Authorization: `Bearer ${this.heroku.$auth.oauth_access_token}`,
"accept": `application/vnd.heroku+json; version=3`,
},
})
},
})
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}}