Integrate the SSH (key-based auth) API with the Python API

Setup the SSH (key-based auth) API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate SSH (key-based auth) and Python remarkably fast. Free for developers.

Popular SSH (key-based auth) and Python Actions#

Execute a Command with the SSH (key-based auth) API

Executes a command on a remote device. See SSH lib docs here

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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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Overview of SSH (key-based auth)#

The SSH (Secure Shell) key-based authentication API allows you to execute commands on a remote server securely. With Pipedream, leverage this capability to automate server management tasks, execute deployment scripts, or gather data from your server infrastructure. By integrating with other apps on Pipedream, you can create seamless workflows that trigger actions on your servers in response to various events.

Connect SSH (key-based auth)#

module.exports = defineComponent({
  props: {
    ssh: {
      type: "app",
      app: "ssh",
    }
  },
  async run({steps, $}) {
    const SSH2Promise = require('ssh2-promise')
    
    const { 
      host, 
      port,
      username, 
      privateKey,
    } = this.ssh.$auth
    
    const ssh = new SSH2Promise({
      host,
      port,
      username,
      privateKey,
    })
    
    await ssh.connect()
    console.log("Connection established")
    
    // Replace this with the command you'd like to run
    const resp = await ssh.exec("whoami")
    console.log(resp)
    
    await ssh.close()
  },
})

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}}