The Autopilot AI Workers For Small Business Growth
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
burstyai: {
type: "app",
app: "burstyai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.burstyai.com/burstyai/storage/url`,
headers: {
Authorization: `Bearer ${this.burstyai.$auth.api_key}`,
"accept": `application/json`,
},
params: {
fileList: `xxx/yyy.jpg`, //Comma-separated s3 object IDs used to fetch corresponding download URLs,
//e.g. for a s3 object ID as @url{xxx/yyy.jpg}@, the parameter value shall
//be xxx/yyy.jpg only, excluding @url{}@ is a must.
},
})
},
})
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}}