Yodiz

Agile Scrum Tool - Know where you stand, know where you’re going. From idea to delivery - we have covered you.

Integrate the Yodiz API with the Python API

Setup the Yodiz API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Yodiz 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.

 
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Overview of Yodiz

The Yodiz API offers powerful ways to automate project management tasks, streamline issue tracking, and enhance team collaboration. By leveraging Pipedream's capabilities, you can create intricate workflows that react to project updates, synchronize data with other apps, and manage tasks without manual intervention. With access to Yodiz's endpoints, you can automate notifications, integrate with external databases, or even orchestrate complex cross-application workflows. It's a playground for developers looking to optimize their project management operations.

Connect Yodiz

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    yodiz: {
      type: "app",
      app: "yodiz",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.yodiz.com/api/rest/v1/projects?fields=all`,
      headers: {
        "api-key": `${this.yodiz.$auth.api_key}`,
        "api-token": `${this.yodiz.$auth.oauth_access_token}`,
      },
    })
  },
})

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

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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}}