YoPrint

Next-generation software for garment decorators and promotional product printers.

Integrate the YoPrint API with the Python API

Setup the YoPrint API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate YoPrint and Python remarkably fast. Free for developers.

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
Try it

Overview of YoPrint

The YoPrint API offers a suite of functionalities to streamline printing business operations, allowing users to automate tasks related to order management, customer interactions, and production processes. By integrating YoPrint with Pipedream, businesses can create automated workflows to connect their print management with other services, enhancing efficiency and data consistency. With Pipedream's serverless platform, you can trigger actions based on various events, process data, and integrate with countless other apps.

Connect YoPrint

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    yoprint: {
      type: "app",
      app: "yoprint",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://secure.yoprint.com/v1/api/store/${this.yoprint.$auth.team_id}/setting/user`,
      headers: {
        "Authorization": `${this.yoprint.$auth.api_key}`,
      },
    })
  },
})

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

1
2
3
4
5
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}}