Integrate the CodeScene API with the Python API

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

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Popular CodeScene and Python Actions#

Create a New Project with the CodeScene API

Creates a new project in CodeScene. 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 Project Analysis with the CodeScene API

Returns a single project analysis. See the documentation

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Get Projects with the CodeScene API

Returns a list of projects. See the documentation

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Overview of CodeScene#

The CodeScene API lets you dive into the technical and social aspects of your codebase. It offers insights into code health, identifies hotspots, and provides actionable information for technical debt management. Integrating CodeScene with Pipedream allows you to automate these insights, tying them into your workflow to ensure code quality and team efficiency.

Connect CodeScene#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    codescene: {
      type: "app",
      app: "codescene",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.codescene.io/v2/projects`,
      headers: {
        Authorization: `Bearer ${this.codescene.$auth.api_token}`,
        "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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