Onfleet is the world's most advanced last mile delivery platform.
Create a pickup task and dropoff task linked with each other. See the docs here
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates a single task. Used for simple templates only. See the docs here
The Onfleet API integrates with Pipedream to power logistics and delivery operations, offering real-time tracking, optimized routes, automatic dispatch, analytics, and communication with drivers. With Pipedream's serverless platform, one can automate complex workflows involving Onfleet and other apps, triggering actions based on events, scheduling tasks, or processing data to enhance delivery services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
onfleet: {
type: "app",
app: "onfleet",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://onfleet.com/api/v2/organization`,
auth: {
username: `${this.onfleet.$auth.api_key}`,
password: ``,
},
})
},
})
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}}