Voice Monkey
Voice Monkey is a free Skill that allows you to trigger Alexa Routines from external sources such as IFTTT. It also allows you to make dynamic and custom Text to Speech announcements over your Amazon Echo or other Alexa smart speaker.
Integrate the Voice Monkey API with the Snowflake API
Setup the Voice Monkey API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Voice Monkey and Snowflake remarkably fast. Free for developers.
Popular Voice Monkey and Snowflake Triggers#
Popular Voice Monkey and Snowflake Actions#
This action will display an image on your device with a screen e.g. Echo Show. See docs here
This action will display a video on your device with a screen e.g. Echo Show. See docs here
This action will make an annoucement on your device using the text you supply. See docs here
This action will make an annoucement on your device using any parameters you set. See docs here
Overview of Voice Monkey#
The Voice Monkey API provides a bridge between Alexa and Pipedream, enabling you to send custom announcements, notifications, or commands to your Alexa devices. With this API, you can trigger Alexa to speak a custom message or execute routines, leveraging the power of voice interaction in your automated workflows. It's particularly useful for smart home enthusiasts, productivity hackers, and businesses looking to integrate voice notifications into their services.
Connect Voice Monkey#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
voice_monkey: {
type: "app",
app: "voice_monkey",
}
},
async run({steps, $}) {
const data = {
"access_token": `${this.voice_monkey.$auth.access_token}`,
"secret_token": `${this.voice_monkey.$auth.secret_token}`,
"monkey": `pipedream-monkey-1`,
}
return await axios($, {
method: "post",
url: `https://api.voicemonkey.io/trigger`,
data,
})
},
})
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
},
})