Transcribe and Score Recording with Speechace API on New Column from MySQL API

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Trigger workflow on

New Column from the MySQL API

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Transcribe and Score Recording with the Speechace API

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Getting Started#

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

Select this integration
Configure the New Column trigger
1. Connect your MySQL account
2. Configure timer
3. Select a Table
Configure the Transcribe and Score Recording action
1. Connect your Speechace account
2. Configure File Path
3. Optional- Configure Relevance Context
4. Optional- Select a Dialect
5. Optional- Configure User ID
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 Column on MySQL

Description:Emit new event when you add a new column to a table. [See the docs here](https://dev.mysql.com/doc/refman/8.0/en/show-columns.html)

Version:2.0.5

Key:mysql-new-column

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";

export default {
  ...common,
  key: "mysql-new-column",
  name: "New Column",
  description: "Emit new event when you add a new column to a table. [See the docs here](https://dev.mysql.com/doc/refman/8.0/en/show-columns.html)",
  type: "source",
  version: "2.0.5",
  dedupe: "unique",
  props: {
    ...common.props,
    db: "$.service.db",
  },
  methods: {
    ...common.methods,
    _getPreviousColumns() {
      return this.db.get("previousColumns");
    },
    _setPreviousColumns(previousColumns) {
      this.db.set("previousColumns", previousColumns);
    },
    async listResults() {
      const { table } = this;
      let previousColumns = this._getPreviousColumns() || [];
      const columns = await this.mysql.listNewColumns({
        table,
        previousColumns,
      });
      this.iterateAndEmitEvents(columns);

      const newColumnNames =
        columns
          .map((column) => column.Field)
          .filter((c) => !previousColumns.includes(c));

      previousColumns = previousColumns.concat(newColumnNames);
      this._setPreviousColumns(previousColumns);
    },
    generateMeta(column) {
      const columnName = column.Field;
      return {
        id: `${columnName}${this.table}`,
        summary: columnName,
        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`	`$.interface.timer`
Table	`table`	`string`	Select a value from the drop down menu.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.

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#

Transcribe and Score Recording on Speechace

Description:Transcribes and scores a provided speech recording. [See the documentation](https://docs.speechace.com/#76089b5d-7e25-4744-8d32-f6c230acf217)

Version:0.0.1

Key:speechace-transcribe-and-score-recording

View on GitHub

Speechace Overview#

The Speechace API offers capabilities for detailed speech analysis, particularly useful for language learning applications. With this API, you can assess users' pronunciation and fluency in English by analyzing audio inputs. In Pipedream, you can leverage this API to craft workflows that trigger on various events, process audio data, and perform actions based on the analysis—such as storing results, providing feedback, or integrating with other services for enhanced functionality.

Action Code#

import speechace from "../../speechace.app.mjs";
import FormData from "form-data";
import fs from "fs";

export default {
  key: "speechace-transcribe-and-score-recording",
  name: "Transcribe and Score Recording",
  description: "Transcribes and scores a provided speech recording. [See the documentation](https://docs.speechace.com/#76089b5d-7e25-4744-8d32-f6c230acf217)",
  version: "0.0.1",
  type: "action",
  props: {
    speechace,
    filePath: {
      propDefinition: [
        speechace,
        "filePath",
      ],
    },
    relevanceContext: {
      type: "string",
      label: "Relevance Context",
      description: "Question Prompt text provided to the user. When this parameter is passed, the relevance of the user audio transcript is evaluated given the relevance_context and a resulting relevance class is returned in .speech_score.relevance.class",
      optional: true,
    },
    dialect: {
      propDefinition: [
        speechace,
        "dialect",
      ],
    },
    userId: {
      propDefinition: [
        speechace,
        "userId",
      ],
    },
  },
  async run({ $ }) {
    const data = new FormData();
    const content = fs.createReadStream(this.filePath.includes("tmp/")
      ? this.filePath
      : `/tmp/${this.filePath}`);
    data.append("user_audio_file", content);
    if (this.relevanceContext) {
      data.append("relevance_context", this.relevanceContext);
    }

    const response = await this.speechace.transcribeAndScore({
      $,
      params: {
        dialect: this.dialect,
        user_id: this.userId,
      },
      data,
      headers: data.getHeaders(),
    });
    $.export("$summary", `Transcription and scoring completed for audio file: ${this.filePath}`);
    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
Speechace	`speechace`	`app`	This component uses the Speechace app.
File Path	`filePath`	`string`	The path to an audio file (wav, mp3, m4a, webm, ogg, aiff) in the `/tmp` directory. See the documentation on working with files
Relevance Context	`relevanceContext`	`string`	Question Prompt text provided to the user. When this parameter is passed, the relevance of the user audio transcript is evaluated given the relevance_context and a resulting relevance class is returned in .speech_score.relevance.class
Dialect	`dialect`	`string`	Select a value from the drop down menu:`{ "label": "US English", "value": "en-us" }{ "label": "UK English", "value": "en-gb" }`
User ID	`userId`	`string`	A unique anonymized identifier for the end-user who spoke the audio