Integrate the SonarCloud API with the Python API

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

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Popular Ways to Connect SonarCloud with Python#

Run Python Code with Python API on New Analysis Completed (Instant) from SonarCloud API

SonarCloud + Python

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Popular SonarCloud and Python Triggers#

New Analysis Completed (Instant) from the SonarCloud API

Emit new event when a new analisys is completed.

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Popular SonarCloud 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 SonarCloud#

The SonarCloud API facilitates automated code quality checks and security vulnerability assessments. By integrating with Pipedream, developers can harness this power within serverless workflows, triggering actions based on code analysis results, monitoring project metrics, and automating project management tasks. The API allows for enhanced productivity by connecting code quality data with other services and tools, streamlining the development process.

Connect SonarCloud#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sonarcloud: {
      type: "app",
      app: "sonarcloud",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.sonarcloud.$auth.token}@sonarcloud.io/api/users/search`,
    })
  },
})

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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