Get Transcription with AssemblyAI API on New Row (Custom Query) from MySQL API

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New Row (Custom Query) from the MySQL API

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Getting Started#

This integration creates a workflow with a MySQL 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 Row (Custom Query) trigger
1. Connect your MySQL account
2. Configure timer
3. Select a Table
4. Optional- Select a De-duplication Key
5. Configure Where condition
6. Configure Values
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 Row (Custom Query) on MySQL

Description:Emit new event when new rows are returned from a custom query. [See the docs here](https://dev.mysql.com/doc/refman/8.0/en/select.html)

Version:2.0.5

Key:mysql-new-row-custom-query

View on GitHub

MySQL Overview#

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Trigger Code#

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

const { mysql } = common.props;

export default {
  ...common,
  key: "mysql-new-row-custom-query",
  name: "New Row (Custom Query)",
  description: "Emit new event when new rows are returned from a custom query. [See the docs here](https://dev.mysql.com/doc/refman/8.0/en/select.html)",
  version: "2.0.5",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    column: {
      propDefinition: [
        mysql,
        "column",
        (c) => ({
          table: c.table,
        }),
      ],
      label: "De-duplication Key",
      description:
        "The name of a column in the table to use for de-duplication",
      optional: true,
    },
    condition: {
      propDefinition: [
        mysql,
        "whereCondition",
      ],
    },
    values: {
      propDefinition: [
        mysql,
        "whereValues",
      ],
    },
  },
  methods: {
    ...common.methods,
    async listResults() {
      const {
        table,
        condition,
        values,
      } = this;

      const numberOfQuestionMarks = condition?.match(/\?/g)?.length;

      if (!numberOfQuestionMarks) {
        throw new Error("No valid condition provided. At least one question mark character ? must be provided.");
      }

      if (!Array.isArray(values)) {
        throw new Error("No valid values provided. The values property must be an array.");
      }

      if (values.length !== numberOfQuestionMarks) {
        throw new Error("The number of values provided does not match the number of question marks ? in the condition.");
      }

      const rows = await this.mysql.findRows({
        table,
        condition,
        values,
      });
      this.iterateAndEmitEvents(rows);
    },
    generateMeta(row) {
      const id = this.column
        ? row[this.column]
        : uuidv4();
      return {
        id,
        summary: `New Row ${id}`,
        ts: Date.now(),
      };
    },
  },
};

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
MySQL	`mysql`	`app`	This component uses the MySQL app.
	`timer`	`$.interface.timer`
Table	`table`	`string`	Select a value from the drop down menu.
De-duplication Key	`column`	`string`	Select a value from the drop down menu.
Where condition	`condition`	`string`	In this expression you can write your own conditions (eg. `column1 = ? or column2 = ?`). Depending on the number of `?` symbols likewise you need to add the same number of values.
Values	`values`	`string[]`	This is the list of values that will match every `?` symbol in the where expression. If you want to build yourself the values (eg. `{{["string1", "string2"]}}`)

Trigger Authentication#

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

Connecting to Restricted Databases

Either enable the shared static IP for this account below, or configure a VPC to deploy any workflow in your workspace to a private network with a dedicated static IP. Learn more in our docs.

SSL Setup

Configure SSL on your MySQL database by providing the CA (Certificate Authority), and choosing between Full Verification, Verify Certificate Authority (CA), or Skip Verification. Skipping verification is not recommended as this has serious security implications.

About MySQL#

MySQL is an open-source relational database management system.

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)