Diffy
Screenshots based tool to ensure your design stays consistent during code changes.
Integrate the Diffy API with the Snowflake API
Setup the Diffy API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Diffy and Snowflake remarkably fast. Free for developers.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular Diffy and Snowflake Triggers#
Emit new event when a new diff is created in Diffy. See the documentation
Emit new event when a new screenshot is created in Diffy. See the documentation
Run a SQL query on a schedule, triggering a workflow for each row of results
Overview of Diffy#
The Diffy API offers visual regression testing, allowing you to compare visuals of web pages over time or across different environments. With Pipedream's serverless architecture, you can integrate Diffy into various workflows to automate visual testing, get notified of changes, or even trigger deployments in a CI/CD pipeline when a visual test passes.
Connect Diffy#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
diffy: {
type: "app",
app: "diffy",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.diffy.website/api/projects`,
headers: {
Authorization: `Bearer ${this.diffy.$auth.access_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 snowflake from '@pipedream/snowflake';
export default defineComponent({
props: {
snowflake,
},
async run({ $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
return this.snowflake.executeQuery({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
binds: [],
});
},
});Trusted by 1,000,000+ developers from startups to Fortune 500 companies