Execute SQL Query with Snowflake API on New Conversation Rating Added from Intercom API

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Trigger workflow on

New Conversation Rating Added from the Intercom API

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Execute SQL Query with the Snowflake API

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Getting Started#

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

Select this integration
Configure the New Conversation Rating Added trigger
1. Connect your Intercom account
2. Configure Polling Interval
Configure the Execute SQL Query action
1. Connect your Snowflake account
2. Configure SQL Query
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 Conversation Rating Added on Intercom

Description:Emit new event each time a new rating is added to a conversation.

Version:0.0.2

Key:intercom-new-conversation-rating-added

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-conversation-rating-added",
  name: "New Conversation Rating Added",
  description: "Emit new event each time a new rating is added to a conversation.",
  version: "0.0.2",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    generateMeta(conversation) {
      const ts = conversation.conversation_rating.created_at;
      return {
        id: `${conversation.id}-${ts}`,
        summary: `New rating added to conversation with ID: ${conversation.id}`,
        ts,
      };
    },
  },
  async run() {
    let lastRatingCreatedAt = this._getLastUpdate();
    const data = {
      query: {
        field: "conversation_rating.requested_at",
        operator: ">",
        value: lastRatingCreatedAt,
      },
    };

    const results = await this.intercom.searchConversations(data);
    for (const conversation of results) {
      const createdAt = conversation.conversation_rating.created_at;
      if (createdAt > lastRatingCreatedAt)
        lastRatingCreatedAt = createdAt;
      const meta = this.generateMeta(conversation);
      this.$emit(conversation, meta);
    }

    this._setLastUpdate(lastRatingCreatedAt);
  },
};

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#

Execute SQL Query on Snowflake

Description:Execute a custom Snowflake query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.

Version:0.2.0

Key:snowflake-execute-sql-query

View on GitHub

Snowflake Overview#

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Action Code#

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

export default {
  name: "Execute SQL Query",
  version: "0.2.0",
  key: "snowflake-execute-sql-query",
  description: "Execute a custom Snowflake query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.",
  type: "action",
  props: {
    snowflake,
    // eslint-disable-next-line pipedream/props-description
    sql: {
      type: "sql",
      auth: {
        app: "snowflake",
      },
      label: "SQL Query",
    },
  },
  async run({ $ }) {
    const args = this.snowflake.executeQueryAdapter(this.sql);

    const data = await this.snowflake.executeQuery(args);

    $.export("$summary", `Returned ${data.length} ${data.length === 1
      ? "row"
      : "rows"}`);

    return data;
  },
};

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
Snowflake	`snowflake`	`app`	This component uses the Snowflake app.
SQL Query	`sql`	`sql`