Run Python Code with Python API on New Outgoing SMS from Bandwidth API

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Trigger workflow on

New Outgoing SMS from the Bandwidth API

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Run Python Code with the Python API

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Getting Started#

This integration creates a workflow with a Bandwidth trigger and Python action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Outgoing SMS trigger
1. Connect your Bandwidth account
Configure the Run Python Code action
1. Connect your Python account
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Outgoing SMS on Bandwidth

Description:Emits an event each time an outbound message status event is received at the source url

Version:1.1.1

Key:bandwidth-new-outgoing-sms

View on GitHub

Bandwidth Overview#

The Bandwidth API opens up a world of possibilities for integrating telecom services into your applications. Bandwidth specializes in voice, messaging, and 911 access, making it possible to programmatically send and receive text messages, orchestrate calls, and implement emergency call routing. Linking the Bandwidth API with Pipedream allows you to automate these telecom features with various triggers and actions from other apps, creating seamless and powerful workflows.

Trigger Code#

const bandwidth = require("../../bandwidth.app");

module.exports = {
  name: "New Outgoing SMS",
  description:
    "Emits an event each time an outbound message status event is received at the source url",
  key: "bandwidth-new-outgoing-sms",
  version: "1.1.1",
  type: "source",
  props: {
    bandwidth,
    http: {
      type: "$.interface.http",
      customResponse: true,
    },
  },

  async run(event) {
    const messageBody = event.body[0];
    this.http.respond({
      status: 204,
    });

    if (messageBody.message.direction == "out") {
      this.$emit(messageBody, {
        summary: messageBody.type,
        id: messageBody.message.id,
        ts: +new Date(messageBody.time),
      });
    }
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Bandwidth	`bandwidth`	`app`	This component uses the Bandwidth app.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.

Trigger Authentication#

Bandwidth uses API keys for authentication. When you connect your Bandwidth account, Pipedream securely stores the keys so you can easily authenticate to Bandwidth APIs in both code and no-code steps.

Bandwidth.com requires the user's username:password pair to be encoded as part of the header. (docs)
The accountId is used as part of the url to make API requests. Ex: https://dashboard.bandwidth.com/api/accounts/{accountId}/

About Bandwidth#

Enterprise Grade Voice, Messaging, and 911 Access

Action#

Run Python Code on Python

Description:Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.

Version:0.0.2

Key:python-run-python-code

View on GitHub

Python Overview#

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:

Action Code#

import python from "../../python.app.mjs";

export default {
  name: "Run Python Code",
  version: "0.0.2",
  key: "python-run-python-code",
  description: "Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.",
  props: {
    python,
  },
  type: "action",
  methods: {},
  async run({
    steps, $,
  }) {
    // Placeholder action for Python code app
  },
};