Run Python Code with Python API on New Reply From User from Intercom API

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New Reply From User from the Intercom 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 Intercom 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 Reply From User trigger
1. Connect your Intercom account
2. Configure Polling Interval
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 Reply From User on Intercom

Description:Emit new event each time a user replies to a conversation.

Version:0.0.6

Key:intercom-new-user-reply

View on GitHub

Intercom Overview#

The Intercom API offers rich capabilities for enhancing customer communication and support workflows. By leveraging this API on Pipedream, you can automate tasks, sync customer data across platforms, and create personalized interactions. Whether you are managing user segments, sending targeted messages, or updating customer profiles, the Intercom API's robust set of endpoints allows for intricate and useful automations within your business processes.

Trigger Code#

import common from "../common/common.mjs";

export default {
  ...common,
  key: "intercom-new-user-reply",
  name: "New Reply From User",
  description: "Emit new event each time a user replies to a conversation.",
  version: "0.0.6",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    generateMeta(conversation, conversationData, conversationBody, totalCount) {
      return {
        id: conversationData.conversation_parts.conversation_parts[totalCount - 1].id,
        summary: conversationBody,
        ts: conversation.statistics.last_admin_reply_at,
      };
    },
  },
  async run() {
    let lastContactReplyAt = this._getLastUpdate();
    const data = {
      query: {
        field: "statistics.last_contact_reply_at",
        operator: ">",
        value: lastContactReplyAt,
      },
    };

    const results = await this.intercom.searchConversations(data);
    for (const conversation of results) {
      if (conversation.statistics.last_contact_reply_at > lastContactReplyAt)
        lastContactReplyAt = conversation.statistics.last_contact_reply_at;
      const conversationData = (
        await this.intercom.getConversation(conversation.id)
      );
      const totalCount = conversationData.conversation_parts.total_count;
      const conversationBody =
        conversationData?.conversation_parts?.conversation_parts[totalCount - 1]?.body;
      if (totalCount > 0 && conversationBody) {
        // emit id & summary from last part/reply added
        const meta =
          this.generateMeta(conversation, conversationData, conversationBody, totalCount);
        this.$emit(conversationData, meta);
      }
    }

    this._setLastUpdate(lastContactReplyAt);
  },
};

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
Intercom	`intercom`	`app`	This component uses the Intercom app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling Interval	`timer`	`$.interface.timer`	Pipedream will poll the API on this schedule

Trigger Authentication#

Intercom uses OAuth authentication. When you connect your Intercom account, Pipedream will open a popup window where you can sign into Intercom and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Intercom API.

Pipedream requests the following authorization scopes when you connect your account:

About Intercom#

Intercom is the only solution that combines an AI chatbot, help desk, and proactive support—so you can keep costs low, support teams happy, and customers satisfied.

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
  },
};

Action Configuration#

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

Label	Prop	Type	Description
Python	`python`	`app`	This component uses the Python app.

Action Authentication#

The Python API does not require authentication.

About Python#

Anything you can do in Python can be done in a Pipedream Workflow. This includes using any of the 350,000+ PyPi packages available in your Python powered workflows.