with KanbanFlow and Python?
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The KanbanFlow API unlocks the potential for creating customized, automated workflows to enhance productivity and streamline task management. By tapping into this API via Pipedream, developers can craft serverless functions that interact with KanbanFlow boards, tasks, users, and time tracking features. These automations can range from syncing tasks across platforms to triggering notifications based on task updates.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
kanbanflow: {
type: "app",
app: "kanbanflow",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://kanbanflow.com/api/v1/users`,
params: {
apiToken: `${this.kanbanflow.$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}}