Integrate the SiteSpeakAI API with the Snowflake API

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

Popular Ways to Connect SiteSpeakAI with Snowflake#

Send Query with SiteSpeakAI API on New Row from Snowflake API

Snowflake + SiteSpeakAI

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Send Query with SiteSpeakAI API on New Query Results from Snowflake API

Snowflake + SiteSpeakAI

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Insert Multiple Rows with Snowflake API on New Lead Created from SiteSpeakAI API

SiteSpeakAI + Snowflake

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Insert Single Row with Snowflake API on New Lead Created from SiteSpeakAI API

SiteSpeakAI + Snowflake

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Send Query with SiteSpeakAI API on Failed Task in Schema from Snowflake API

Snowflake + SiteSpeakAI

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Popular SiteSpeakAI and Snowflake Triggers#

New Lead Created from the SiteSpeakAI API

Emit new event when a new lead is created in SiteSpeakAI. See the documentation

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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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Popular SiteSpeakAI and Snowflake Actions#

Send Query with the SiteSpeakAI API

Queries your chatbot and returns the answer and URLs used to find the answer. 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 SiteSpeakAI#

SiteSpeakAI is a versatile API that brings voice to your digital spaces. You can use it to convert text into lifelike spoken audio in various languages and dialects. With Pipedream, you can automate and integrate this capability into various workflows, reacting to events, processing data, and connecting with other APIs or services. Whether to enhance user experience with voice responses, create audio content dynamically, or provide accessibility features, SiteSpeakAI opens up a world of audio interaction possibilities.

Connect SiteSpeakAI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sitespeakai: {
      type: "app",
      app: "sitespeakai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.sitespeak.ai/v1/me`,
      headers: {
        Authorization: `Bearer ${this.sitespeakai.$auth.api_token}`,
      },
    })
  },
})

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#

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
  },
})