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with Darwinbox and Python?
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Popular Darwinbox 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 Darwinbox#
Darwinbox is a cloud-based Human Resources Management System (HRMS) that streamulates HR processes from recruitment to retirement. With the Darwinbox API, you can automate various HR tasks such as employee onboarding, performance appraisals, and leave management. The API allows you to synchronize employee data across different systems, automate HR workflows, and build custom integrations to extend the capabilities of your HR tech stack.
Connect Darwinbox#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
darwinbox: {
type: "app",
app: "darwinbox",
}
},
async run({steps, $}) {
const data = {
"username": `${this.darwinbox.$auth.username}`,
"password": `${this.darwinbox.$auth.password}`,
"api_key": `[AES256 encrypted string of(${this.darwinbox.$auth.api_key})]`,
}
return await axios($, {
method: "post",
url: `https://${this.darwinbox.$auth.subdomain}.darwinbox.in/loginapi/employee`,
headers: {
"Content-Type": `application/json`,
},
auth: {
username: `${this.darwinbox.$auth.username}`,
password: `${this.darwinbox.$auth.password}`,
},
data,
})
},
})
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies