Get Transcription with AssemblyAI 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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Getting Started#

This integration creates a workflow with a Snowflake trigger and AssemblyAI 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 Get Transcription action
1. Connect your AssemblyAI account
2. Configure URL
3. Optional- Select a Language Code
4. Optional- Configure Punctuate
5. Optional- Configure Speaker Labels
6. Optional- Configure Content Safety
7. Optional- Configure Sentiment Analysis
8. Optional- Configure Webhook URL
9. Optional- Configure Callback With Rerun
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#

Get Transcription on AssemblyAI

Description:Fetches a specific transcribed result from the AssemblyAI API. [See the documentation](https://www.assemblyai.com/docs/API%20reference/transcript)

Version:0.0.2

Key:assemblyai-get-transcription

View on GitHub

AssemblyAI Overview#

The AssemblyAI API provides powerful speech recognition and natural language processing capabilities. It allows users to transcribe audio, analyze sentiment, detect topics, and more. In Pipedream, you can leverage these features to create automated workflows that process audio and text data. Connect AssemblyAI to various apps and services, trigger actions based on the API's output, and build robust, serverless data pipelines.

Action Code#

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

export default {
  name: "Get Transcription",
  description: "Fetches a specific transcribed result from the AssemblyAI API. [See the documentation](https://www.assemblyai.com/docs/API%20reference/transcript)",
  key: "assemblyai-get-transcription",
  version: "0.0.2",
  type: "action",
  props: {
    assemblyai,
    url: {
      type: "string",
      label: "URL",
      description: "The URL of your media file to transcribe.",
    },
    languageCode: {
      propDefinition: [
        assemblyai,
        "languageCode",
      ],
    },
    punctuate: {
      type: "boolean",
      label: "Punctuate",
      description: "Enable Automatic Punctuation",
      optional: true,
    },
    speakerLabels: {
      type: "boolean",
      label: "Speaker Labels",
      description: "Enable Speaker diarization",
      optional: true,
    },
    contentSafety: {
      type: "boolean",
      label: "Content Safety",
      description: "Enable Content Moderation",
      optional: true,
    },
    sentimentAnalysis: {
      type: "boolean",
      label: "Sentiment Analysis",
      description: "Enable Sentiment Analysis",
      optional: true,
    },
    webhookUrl: {
      type: "string",
      label: "Webhook URL",
      description: "The URL we should send webhooks to when your transcript is complete",
      optional: true,
    },
    callbackWithRerun: {
      type: "boolean",
      label: "Callback With Rerun",
      description: "Use the `$.flow.rerun` Node.js helper to rerun the step when the transcription is completed. Overrides the `webhookUrl` prop. This will increase execution time and credit usage as a result. [See the documentation(https://pipedream.com/docs/code/nodejs/rerun/#flow-rerun)",
      optional: true,
    },
  },
  async run({ $ }) {
    let response;
    const { run } = $.context;
    if (run.runs === 1) {
      let webhookUrl  = this.webhookUrl;
      if (this.callbackWithRerun) {
        ({ resume_url: webhookUrl } = $.flow.rerun(600000, null, 1));
      }
      response = await this.assemblyai.createTranscript({
        data: {
          audio_url: this.url,
          language_code: this.languageCode,
          punctuate: this.punctuate,
          speaker_labels: this.speakerLabels,
          content_safety: this.contentSafety,
          sentiment_analysis: this.sentimentAnalysis,
          webhook_url: webhookUrl,
        },
        $,
      });
    }
    if (run.callback_request) {
      response = await this.assemblyai.getTranscript({
        transcriptId: run.callback_request.body.transcript_id,
      });
    }

    if (response?.id) {
      $.export("$summary", `Successfully created transcription with ID ${response.id}.`);
    }

    return response;
  },
};

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
AssemblyAI	`assemblyai`	`app`	This component uses the AssemblyAI app.
URL	`url`	`string`	The URL of your media file to transcribe.
Language Code	`languageCode`	`string`	Select a value from the drop down menu:`{ "label": "Global English", "value": "en" }{ "label": "Australian English", "value": "en_au" }{ "label": "British English", "value": "en_uk" }{ "label": "US English", "value": "en_us" }{ "label": "Spanish", "value": "es" }{ "label": "French", "value": "fr" }{ "label": "German", "value": "de" }{ "label": "Italian", "value": "it" }{ "label": "Portuguese", "value": "pt" }{ "label": "Dutch", "value": "nl" }{ "label": "Hindi", "value": "hi" }{ "label": "Japanese", "value": "ja" }`
Punctuate	`punctuate`	`boolean`	Enable Automatic Punctuation
Speaker Labels	`speakerLabels`	`boolean`	Enable Speaker diarization
Content Safety	`contentSafety`	`boolean`	Enable Content Moderation
Sentiment Analysis	`sentimentAnalysis`	`boolean`	Enable Sentiment Analysis
Webhook URL	`webhookUrl`	`string`	The URL we should send webhooks to when your transcript is complete
Callback With Rerun	`callbackWithRerun`	`boolean`	Use the `$.flow.rerun` Node.js helper to rerun the step when the transcription is completed. Overrides the `webhookUrl` prop. This will increase execution time and credit usage as a result. [See the documentation(https://pipedream.com/docs/code/nodejs/rerun/#flow-rerun)