Translate with Google Cloud Translate API on New Query Results from Snowflake API

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Trigger workflow on

New Query Results from the Snowflake API

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Translate with the Google Cloud Translate API

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Getting Started#

This integration creates a workflow with a Snowflake trigger and Google Cloud Translate action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Query Results trigger
1. Connect your Snowflake account
2. Configure timer
3. Configure SQL Query
4. Optional- Configure Primary key
5. Optional- Configure Emit individual events
Configure the Translate action
1. Connect your Google Cloud Translate account
2. Configure Text
3. Select a Target Language
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Query Results on Snowflake

Description:Run a SQL query on a schedule, triggering a workflow for each row of results

Version:0.2.2

Key:snowflake-query-results

View on GitHub

Snowflake Overview#

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.

Trigger Code#

import common from "../common.mjs";
import { v4 as uuidv4 } from "uuid";

export default {
  ...common,
  type: "source",
  key: "snowflake-query-results",
  name: "New Query Results",
  // eslint-disable-next-line
  description: "Run a SQL query on a schedule, triggering a workflow for each row of results",
  version: "0.2.2",
  props: {
    ...common.props,
    sqlQuery: {
      type: "string",
      label: "SQL Query",
      description: "Run this query on a schedule, triggering the workflow for each row of results",
    },
    // Ordering props correctly
    timer: common.props.timer,
    dedupeKey: {
      type: "string",
      label: "Primary key",
      description: "The column in your query to use for de-duplication. Duplicate rows won't trigger your workflow",
      optional: true,
    },
    emitIndividualEvents: {
      propDefinition: [
        common.props.snowflake,
        "emitIndividualEvents",
      ],
    },
  },
  methods: {
    ...common.methods,
    generateMeta(data) {
      const {
        row: { [this.dedupeKey]: id = uuidv4() },
        timestamp: ts,
      } = data;
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        ts,
      };
    },
    generateMetaForCollection(data) {
      const { timestamp: ts } = data;
      const id = uuidv4();
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        ts,
      };
    },
    getStatement() {
      return {
        sqlText: this.sqlQuery,
      };
    },
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Snowflake	`snowflake`	`app`	This component uses the Snowflake app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`	Watch for changes on this schedule
SQL Query	`sqlQuery`	`string`	Run this query on a schedule, triggering the workflow for each row of results
Primary key	`dedupeKey`	`string`	The column in your query to use for de-duplication. Duplicate rows won't trigger your workflow
Emit individual events	`emitIndividualEvents`	`boolean`	Defaults to `true`, triggering workflows on each record in the result set. Set to `false` to emit records in batch (advanced)

Trigger Authentication#

Snowflake uses API keys for authentication. When you connect your Snowflake account, Pipedream securely stores the keys so you can easily authenticate to Snowflake APIs in both code and no-code steps.

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.

About Snowflake#

A data warehouse built for the cloud

Action#

Translate on Google Cloud Translate

Description:Translate text using Google Cloud Translate

Version:0.0.3

Key:google_cloud_translate-translate

View on GitHub

Google Cloud Translate Overview#

The Google Cloud Translate API empowers developers to dynamically translate text between thousands of language pairs, integrate language translation into applications, websites, tools, and other solutions. By leveraging this API within Pipedream's serverless platform, you can create automated workflows that respond to events from hundreds of sources, transforming and routing your data to various destinations, all while breaking down language barriers.

Action Code#

import google_cloud_translate from "../../google_cloud_translate.app.mjs";
import { axios } from "@pipedream/platform";

export default {
  name: "Translate",
  version: "0.0.3",
  key: "google_cloud_translate-translate",
  description: "Translate text using Google Cloud Translate",
  props: {
    google_cloud_translate,
    text: {
      type: "string",
      description: "Text to translate",
      label: "Text",
    },
    target: {
      type: "string",
      label: "Target Language",
      description: "The two letter ISO code for the language to translate the text into",
      default: "en",
      async options() {
        const response = await fetch(`https://translation.googleapis.com/language/translate/v2/languages?key=${this.google_cloud_translate.$auth.api_key}&target=en`, {
          method: "GET",
        });
        const data = await response.json();
        return data.data.languages.map((language) => ({
          label: language.name,
          value: language.language,
        }));
      },
    },
  },
  type: "action",
  async run({ $ }) {
    return await axios($, {
      method: "post",
      url: `https://translation.googleapis.com/language/translate/v2?key=${this.google_cloud_translate.$auth.api_key}`,
      headers: {
        "Content-Type": "application/json; charset=utf-8",
      },
      data: {
        q: this.text,
        target: this.target,
      },
    });
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Google Cloud Translate	`google_cloud_translate`	`app`	This component uses the Google Cloud Translate app.
Text	`text`	`string`	Text to translate
Target Language	`target`	`string`	Select a value from the drop down menu.

Action Authentication#

Google Cloud Translate uses API keys for authentication. When you connect your Google Cloud Translate account, Pipedream securely stores the keys so you can easily authenticate to Google Cloud Translate APIs in both code and no-code steps.

To create an API key, your account must be granted the primitive Editor role (roles/editor) on the current project. For more information, see primitive roles.

To create an API key:

Navigate to the APIs & Services→Credentials panel in Cloud Console.
Select Create credentials, then select API key from the dropdown menu.
The API key created dialog box displays your newly created key.