Integrate the Easy Project API with the Python API

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

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Popular Easy Project and Python Actions#

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 Easy Project#

The Easy Project API offers a suite of project management tools that integrate with Pipedream to automate workflows, streamline processes, and enhance team collaboration. By connecting the Easy Project API to Pipedream, you can create custom automations for tasks like syncing project data, monitoring project updates, and managing resources. The API allows for interactions with issues, time entries, and project structures, making it a versatile tool for project managers and teams who want to align their project management tooling with other business systems.

Connect Easy Project#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    easy_project: {
      type: "app",
      app: "easy_project",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.easy_project.$auth.domain}.easyproject.com/users.json`,
      headers: {
        "X-Redmine-API-Key": `${this.easy_project.$auth.api_access_key}`,
        "Accept": `application/json`,
      },
    })
  },
})

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#

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}}

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