Testmo
The #1 unified test management tool. All your manual, exploratory & automated tests in one powerful platform. Full integration with Jira, GitHub, GitLab & more.
Integrate the Testmo API with the Snowflake API
Setup the Testmo API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Testmo and Snowflake remarkably fast. Free for developers.
Popular Testmo and Snowflake Triggers#
Popular Testmo and Snowflake Actions#
Appends test artifacts, fields or links to an existing automation run. See the documentation
Appends test artifacts, fields or test results to an existing thread in an automation run. See the documentation
Creates a new automation run in a target project in preparation for adding threads and test results. See the documentation
List all automation runs for a project. See the documentation
Overview of Testmo#
The Testmo API enables automation and integration of your testing workflows into the broader CI/CD pipeline. With Pipedream, you can use this API to trigger tests, update test cases, log results, and sync status with other project management tools. By creating custom serverless workflows on Pipedream, you can connect Testmo to various apps, manage test lifecycles, and respond to events from other services in real-time.
Connect Testmo#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
testmo: {
type: "app",
app: "testmo",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.testmo.$auth.sitename}.testmo.net/api/v1/user`,
headers: {
Authorization: `Bearer ${this.testmo.$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
},
})