with Everhour and Python?
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Everhour is a time tracking API that allows you to monitor project hours and manage tasks effectively. With Pipedream, you can automate workflows by integrating Everhour with various apps, streamlining time entry, syncing with project management tools, and generating custom reports. Whether you're consolidating time tracking data for invoicing or keeping project budgets in check, Everhour and Pipedream make a powerful duo for automating your time tracking and project management processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
everhour: {
type: "app",
app: "everhour",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.everhour.com/users/me`,
headers: {
"Content-Type": `application/json`,
"X-Api-Key": `${this.everhour.$auth.api_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}}