Chatbot Builder

Build Custom Chatbots and GPTs for Your Website, Social Media, Texting Messaging, Phone Calls, & More!

Integrate the Chatbot Builder API with the Snowflake API

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

Create Tag with Chatbot Builder API on New Row from Snowflake API
Snowflake + Chatbot Builder
 
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Delete Tag with Chatbot Builder API on New Row from Snowflake API
Snowflake + Chatbot Builder
 
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List Tags with Chatbot Builder API on New Row from Snowflake API
Snowflake + Chatbot Builder
 
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Create Tag with Chatbot Builder API on New Query Results from Snowflake API
Snowflake + Chatbot Builder
 
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Delete Tag with Chatbot Builder API on New Query Results from Snowflake API
Snowflake + Chatbot Builder
 
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New Row from the Snowflake API

Emit new event when a row is added to a table

 
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New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

 
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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

 
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New Database from the Snowflake API

Emit new event when a database is created

 
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New Deleted Role from the Snowflake API

Emit new event when a role is deleted

 
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Create Tag with the Chatbot Builder API

Creates a new tag in Chatbot Builder. See the documentation

 
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Delete Tag with the Chatbot Builder API

Deletes a tag from Chatbot Builder. See the documentation

 
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List Tags with the Chatbot Builder API

Lists all tags in Chatbot Builder. See the documentation

 
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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

 
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Insert Single Row with the Snowflake API

Insert a row into a table

 
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Overview of Chatbot Builder

The Chatbot Builder API allows you to create and manage customized chatbots that can interact with users in real-time. Within Pipedream's serverless platform, this API can be harnessed to build powerful workflows that react to messages, automate responses, and integrate with a plethora of other services. With Pipedream, you can set up event-driven processes, making it easy to manage chatbot activities, analyze conversations, and trigger actions in other apps based on chatbot interactions.

Connect Chatbot Builder

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    chatbot_builder: {
      type: "app",
      app: "chatbot_builder",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.chatgptbuilder.io/api/accounts/me`,
      headers: {
        "X-ACCESS-TOKEN": `${this.chatbot_builder.$auth.api_access_token}`,
        "Accept": `application/json`,
      },
    })
  },
})

Overview of Snowflake

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.

Connect Snowflake

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import { promisify } from 'util'
import snowflake from 'snowflake-sdk'

export default defineComponent({
  props: {
    snowflake: {
      type: "app",
      app: "snowflake",
    }
  },
  async run({steps, $}) {
    const connection = snowflake.createConnection({
      ...this.snowflake.$auth,
      application: "PIPEDREAM_PIPEDREAM",
    })
    const connectAsync = promisify(connection.connect)
    await connectAsync()
    
    async function connExecuteAsync(options) {
      return new Promise((resolve, reject) => {
        connection.execute({
          ...options,
          complete: function(err, stmt, rows) {
            if (err) {
              reject(err)
            } else {
              resolve({stmt, rows})
            }
          }
        })
      })
    }
    
    // See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
    const { rows } = await connExecuteAsync({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
    })
    return rows
  },
})