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

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

Popular SSH (password-based auth) 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.

Try it

Overview of SSH (password-based auth)#

The SSH (password-based auth) app on Pipedream facilitates the orchestration of commands and automations on remote servers securely. With it, you can execute shell commands, manage files, and run scripts on your server as part of Pipedream workflows. This unlocks the potential for a host of automations like deploying applications, monitoring system performance, or automating backups — all triggered by events from numerous apps supported on Pipedream.

Connect SSH (password-based auth)#

module.exports = defineComponent({
  props: {
    ssh_password_based_auth: {
      type: "app",
      app: "ssh_password_based_auth",
    }
  },
  async run({steps, $}) {
    const SSH2Promise = require('ssh2-promise')
    
    const { 
      host, 
      port,
      username, 
      password,
    } = this.ssh_password_based_auth.$auth
    
    const ssh = new SSH2Promise({
      host,
      port,
      username,
      password,
    })
    
    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}}