DailyBot
The go-to assistant for your work chat. DailyBot has built-in skills to help you run async meetings, track and celebrate milestones, and automate routines. 🤖💬
Integrate the DailyBot API with the Snowflake API
Setup the DailyBot API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate DailyBot and Snowflake remarkably fast. Free for developers.
Popular DailyBot and Snowflake Triggers#
Emit new event when a user from your organization completes a response to a check-in in DailyBot.
Run a SQL query on a schedule, triggering a workflow for each row of results
Emit new event when a response is added to a form in DailyBot by any user from your organization or an external user.
Popular DailyBot and Snowflake Actions#
Sends kudos to selected user(s) using DailyBot. See the documentation
Dispatches a message to designated users or groups in DailyBot. Required are the message content and recipients' IDs, and channels or rooms are optional targets. See the documentation
Overview of DailyBot#
The DailyBot API on Pipedream opens up a world of possibilities for automating team interactions and enhancing productivity. With DailyBot, you can create custom workflows to automate stand-ups, collect feedback, run polls, and send reminders. By leveraging Pipedream's seamless connections with other apps and services, you can integrate DailyBot into your existing tools and streamline your team's communication processes without writing extensive code.
Connect DailyBot#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dailybot: {
type: "app",
app: "dailybot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.dailybot.com/v1/me/`,
headers: {
"Accept": `application/json`,
"X-API-KEY": `${this.dailybot.$auth.api_key}`,
},
})
},
})
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
},
})