Integrate the RabbitMQ API with the Python API

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

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Popular RabbitMQ 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

Connect RabbitMQ#

import amqp from "amqplib";

export default defineComponent({
  props: {
    rabbitmq: {
      type: "app",
      app: "rabbitmq",
    }
  },
  async run({ steps, $ }) {
    const url = `amqp://${this.rabbitmq.$auth.username}:${this.rabbitmq.$auth.password}@${this.rabbitmq.$auth.host}:${this.rabbitmq.$auth.port}`;
    const connection = await amqp.connect(url);
    const channel = await connection.createChannel();
    const queue = 'Sample Queue';
    await channel.assertQueue(queue, { durable: true });
    const message = 'Welcome RabbitMQ + Pipedream users! ' + new Date().toISOString()
    channel.sendToQueue(queue, Buffer.from(message), { persistent: true });
    console.log(`Sent: ${message}`);
    const queueInfo = await channel.checkQueue(queue);
    return queueInfo;
  },
})

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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