Deputy
Employee scheduling, timesheets, tasking and communication platform
Integrate the Deputy API with the Python API
Setup the Deputy API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Deputy and Python remarkably fast. Free for developers.
Popular Deputy 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 Deputy#
Deputy is a robust workforce management tool, catering to scheduling, timesheet tracking, and other employee coordination tasks. Leveraging the Deputy API on Pipedream allows you to automate mundane tasks, sync data across platforms, and create custom notifications based on employee actions. You could build workflows to manage shifts, sync employee details with HR systems, or trigger payroll processes, harnessing Pipedream's capability to integrate with various services without the need for manual coding.
Connect Deputy#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
deputy: {
type: "app",
app: "deputy",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.deputy.$auth.endpoint}/api/v1/me`,
headers: {
Authorization: `Bearer ${this.deputy.$auth.oauth_access_token}`,
},
})
},
})
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}}