Integrate the Code Climate API with the Python API

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

Popular Code Climate and Python Actions#

Create Organization with the Code Climate API

Creates a new organization on code_climate. See the documentation

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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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Get Members with the Code Climate API

Returns a list of active members for the specified organization. See the documentation

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Get Organizations with the Code Climate API

Returns collection of organizations for the current user. See the documentation

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Overview of Code Climate#

The Code Climate API lets you tap into your software's code quality metrics, test coverage, and technical debt, enabling you to monitor and improve your development process. By integrating Code Climate with Pipedream, you can create automated workflows that respond to changes in your codebase, streamline quality assurance, and synchronize data with other tools in your development stack.

Connect Code Climate#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    code_climate: {
      type: "app",
      app: "code_climate",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: ` https://api.codeclimate.com/v1/user`,
      headers: {
        "Accept": `application/vnd.api+json`,
        "Authorization": `Token token=${this.code_climate.$auth.personal_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#

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}}