Create Dataset with Geckoboard API on New Media Upload Complete from Sonix API

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New Media Upload Complete from the Sonix API

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Create Dataset with the Geckoboard API

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Getting Started#

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

Select this integration
Configure the New Media Upload Complete trigger
1. Connect your Sonix account
2. Configure timer
Configure the Create Dataset action
1. Connect your Geckoboard account
2. Configure Fields
3. Configure 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 Media Upload Complete on Sonix

Description:Emit new event any time the media status of an item changes to completed.

Version:0.0.1

Key:sonix-media-upload-complete

View on GitHub

Sonix Overview#

The Sonix API enables automated transcription of audio and video files into text, offering functions like uploading media, managing files, and retrieving transcripts. Leveraging Pipedream’s capabilities, you can integrate the Sonix API with various services to streamline media processing workflows, making transcription tasks more efficient. By automating interactions with Sonix, you can trigger actions based on the transcription status, analyze content, and connect transcribed text with other apps for further processing or analysis.

Trigger Code#

import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import sonix from "../../sonix.app.mjs";

export default {
  key: "sonix-media-upload-complete",
  name: "New Media Upload Complete",
  description: "Emit new event any time the media status of an item changes to completed.",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    sonix,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  methods: {
    _getLastDate() {
      return this.db.get("lastDate") ?? 0;
    },
    _setLastDate(status) {
      this.db.set("lastDate", status);
    },
    async startEvent(maxResults = 0) {
      const lastDate = this._getLastDate();
      const items = this.sonix.paginate({
        fn: this.sonix.listMedia,
        maxResults,
        params: {
          status: "completed",
        },
      });

      let responseArray = [];

      for await (const item of items) {
        if (new Date(item.created_at) <= new Date(lastDate)) break;
        responseArray.push(item);
      }
      if (responseArray.length) this._setLastDate(responseArray[0].created_at);

      for (const item of responseArray.reverse()) {
        this.$emit(
          item,
          {
            id: item.id,
            summary: `Media upload completed: ${item.name}`,
            ts: Date.parse(item.created_at),
          },
        );
      }
    },
  },
  hooks: {
    async deploy() {
      await this.startEvent(25);
    },
  },
  async run() {
    await this.startEvent();
  },
};

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
Sonix	`sonix`	`app`	This component uses the Sonix app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

About Sonix#

Automated transcription, translation, and subtitling. Over 40 languages supported. Fast, accurate, and affordable.

Action#

Create Dataset on Geckoboard

Description:Create a new dataset. [See the documentation](https://developer.geckoboard.com/?#find-or-create-a-new-dataset)

Version:0.0.1

Key:geckoboard-create-dataset

View on GitHub

Geckoboard Overview#

The Geckoboard API grants you the power to craft custom dashboards that display key metrics and performance indicators for your business. With this API, you can push data to widgets, create and manage dashboards, and automate the sharing of insightful data visualizations. When leveraged through Pipedream, you can build workflows that connect Geckoboard with various other apps, enabling real-time data updates, integrating with your current tools, and powering automated reporting processes.

Action Code#

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

export default {
  key: "geckoboard-create-dataset",
  name: "Create Dataset",
  description: "Create a new dataset. [See the documentation](https://developer.geckoboard.com/?#find-or-create-a-new-dataset)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    fields: {
      propDefinition: [
        app,
        "fields",
      ],
    },
    id: {
      propDefinition: [
        app,
        "id",
      ],
    },
  },
  async run({ $ }) {
    const response = await this.app.createDataset({
      $,
      id: this.id,
      data: {
        fields: JSON.parse(this.fields),
      },
    });
    $.export("$summary", "Successfully created dataset");
    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
Geckoboard	`app`	`app`	This component uses the Geckoboard app.
Fields	`fields`	`string`	JSON containing the fields of the dataset, i.e.: `{ "amount": { "type": "number", "name": "Amount", "optional": false }, "timestamp": { "type": "datetime", "name": "Date" } }`. See documentation
ID	`id`	`string`	The ID of the dataset that will be created

Action Authentication#

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

To connect Pipedream with your Geckoboard account,