with Pipefy and Python?
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Create a new Card in a Pipe. See the docs here
Creates a pipe. See the docs here
Creates a new table record. See the docs here
Deletes a card. See the docs here
Pipefy is a platform that empowers users to streamline complex processes and workflows without the need for technical skills. With the Pipefy API, you can automate various aspects of your Pipefy environment, such as creating cards, updating fields, and managing pipelines programmatically. Use Pipedream to connect Pipefy with 3,000+ other apps and orchestrate workflows that can save time, reduce errors, and enhance efficiency.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pipefy: {
type: "app",
app: "pipefy",
}
},
async run({steps, $}) {
const data = {
"query": `{ me { name } }`,
}
return await axios($, {
method: "post",
url: `https://api.pipefy.com/graphql`,
headers: {
Authorization: `Bearer ${this.pipefy.$auth.token}`,
},
data,
})
},
})
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}}