Execute SQL Query with Snowflake API on New NPS Ratings from UserVoice API

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Trigger workflow on

New NPS Ratings from the UserVoice API

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Execute SQL Query with the Snowflake API

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Getting Started#

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

Select this integration
Configure the New NPS Ratings trigger
1. Connect your UserVoice account
2. Configure Polling schedule
Configure the Execute SQL Query action
1. Connect your Snowflake account
2. Configure SQL Query
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 NPS Ratings on UserVoice

Description:Emits new NPS ratings submitted through the UserVoice NPS widget. On first run, emits up to 10 sample NPS ratings users have previously submitted.

Version:0.0.4

Key:uservoice-new-nps-ratings

View on GitHub

UserVoice Overview#

The UserVoice API allows you to tap into customer feedback and support data to automate and enhance customer engagement processes. With the API, you can programmatically access UserVoice accounts to retrieve suggestions, tickets, and user data, allowing you to analyze customer trends, automate responses, and integrate with other customer success platforms. By leveraging Pipedream's capabilities, you can create event-driven workflows that react to UserVoice events, synchronize data across multiple services, and construct a more responsive customer feedback loop.

Trigger Code#

const uservoice = require("../../uservoice.app.js");
const { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } = require("@pipedream/platform");

const NUM_SAMPLE_RESULTS = 10;

module.exports = {
  name: "New NPS Ratings",
  version: "0.0.4",
  key: "uservoice-new-nps-ratings",
  description: `Emits new NPS ratings submitted through the UserVoice NPS widget. On first run, emits up to ${NUM_SAMPLE_RESULTS} sample NPS ratings users have previously submitted.`,
  dedupe: "unique",
  type: "source",
  props: {
    uservoice,
    timer: {
      label: "Polling schedule",
      description:
        "Pipedream will poll the UserVoice API for new NPS ratings on this schedule",
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    db: "$.service.db",
  },
  hooks: {
    async deploy() {
      // Emit sample records on the first run
      const { npsRatings } = await this.uservoice.listNPSRatings({
        numSampleResults: NUM_SAMPLE_RESULTS,
      });
      this.emitWithMetadata(npsRatings);
    },
  },
  methods: {
    emitWithMetadata(ratings) {
      for (const rating of ratings) {
        const {
          id, rating: score, body, created_at,
        } = rating;
        const summary = body && body.length
          ? `${score} - ${body}`
          : `${score}`;
        this.$emit(rating, {
          summary,
          id,
          ts: +new Date(created_at),
        });
      }
    },
  },
  async run() {
    let updated_after =
      this.db.get("updated_after") || new Date().toISOString();
    const {
      npsRatings, maxUpdatedAt,
    } = await this.uservoice.listNPSRatings({
      updated_after,
    });
    this.emitWithMetadata(npsRatings);

    if (maxUpdatedAt) {
      updated_after = maxUpdatedAt;
    }
    this.db.set("updated_after", updated_after);
  },
};

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
UserVoice	`uservoice`	`app`	This component uses the UserVoice app.
Polling schedule	`timer`	`$.interface.timer`	Pipedream will poll the UserVoice API for new NPS ratings on this schedule
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.

Trigger Authentication#

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

To connect to the UserVoice API, create a trusted API client. In your UserVoice Admin Console, navigate to Settings → Integrations → UserVoice API keys and click the button to Add API Key. Add a name and check the Trusted box at the bottom of the modal that appears:

Then, generate an access token by clicking the Create button near the right of the details of the API key:

About UserVoice#

User feedback made easy and actionable

Action#

Execute SQL Query on Snowflake

Description:Execute a custom Snowflake query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.

Version:0.2.0

Key:snowflake-execute-sql-query

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.

Action Code#

import snowflake from "../../snowflake.app.mjs";

export default {
  name: "Execute SQL Query",
  version: "0.2.0",
  key: "snowflake-execute-sql-query",
  description: "Execute a custom Snowflake query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.",
  type: "action",
  props: {
    snowflake,
    // eslint-disable-next-line pipedream/props-description
    sql: {
      type: "sql",
      auth: {
        app: "snowflake",
      },
      label: "SQL Query",
    },
  },
  async run({ $ }) {
    const args = this.snowflake.executeQueryAdapter(this.sql);

    const data = await this.snowflake.executeQuery(args);

    $.export("$summary", `Returned ${data.length} ${data.length === 1
      ? "row"
      : "rows"}`);

    return data;
  },
};