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Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Time Doctor API lets you tap into detailed data on how you or your team spend work hours. With Pipedream's serverless platform, you can automate actions based on this data, like logging work hours, analyzing productivity, or integrating with other business tools to streamline workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
time_doctor: {
type: "app",
app: "time_doctor",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api2.timedoctor.com/api/1.0/authorization`,
params: {
token: `${this.time_doctor.$auth.oauth_access_token}`,
},
})
},
})
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}}