Detect Language with Microsoft Azure AI Translator API on New Project Created from Timing API

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Trigger workflow on

New Project Created from the Timing API

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Detect Language with the Microsoft Azure AI Translator API

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Getting Started#

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

Select this integration
Configure the New Project Created trigger
1. Connect your Timing account
2. Configure timer
Configure the Detect Language action
1. Connect your Microsoft Azure AI Translator account
2. Configure Text
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 Project Created on Timing

Description:Emit new event each time a new project is created

Version:0.0.1

Key:timing-new-project

View on GitHub

Timing Overview#

The Timing app provides detailed time tracking capabilities, enabling users to automatically log time spent on various tasks and improve productivity. Using Pipedream’s integration, one could build workflows that trigger when new time entries are created, sync time data with other project management tools, or compile reports for invoicing and accountability. It's all about harnessing the power of automated time tracking to streamline processes.

Trigger Code#

import common from "../common/base.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "timing-new-project",
  name: "New Project Created",
  description: "Emit new event each time a new project is created",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    generateMeta(project) {
      return {
        id: project.self,
        summary: `New Project: ${project.title}`,
        ts: Date.now(),
      };
    },
  },
  async run() {
    const { data } = await this.timing.listProjects();
    for (const project of data) {
      const meta = this.generateMeta(project);
      this.$emit(project, meta);
    }
  },
  sampleEmit,
};

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

Trigger Authentication#

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

About Timing#

The automatic time and productivity tracking app for Mac. Track time without timers!

Action#

Detect Language on Microsoft Azure AI Translator

Description:Identifies the language of a piece of text. [See the documentation](https://learn.microsoft.com/en-us/azure/ai-services/translator/reference/v3-0-detect)

Version:0.0.1

Key:microsoft_azure_ai_translator-detect-language

View on GitHub

Action Code#

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

export default {
  key: "microsoft_azure_ai_translator-detect-language",
  name: "Detect Language",
  description: "Identifies the language of a piece of text. [See the documentation](https://learn.microsoft.com/en-us/azure/ai-services/translator/reference/v3-0-detect)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    text: {
      propDefinition: [
        app,
        "text",
      ],
    },
  },

  async run({ $ }) {
    const response = await this.app.detectLanguage({
      $,
      data: [
        {
          text: this.text,
        },
      ],
    });
    $.export("$summary", `Successfully detected language of the provided text: '${response.language}'s`);
    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
Microsoft Azure AI Translator	`app`	`app`	This component uses the Microsoft Azure AI Translator app.
Text	`text`	`string`	String that will be sent to the API

Action Authentication#

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

To retrieve your API Key, Location, and Endpoint,