Analyze Image with Imagga API on New Email from Email API

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Trigger workflow on

New Email from the Email API

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Analyze Image with the Imagga API

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Getting Started#

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

Select this integration
Configure the New Email trigger
1. Connect your Email account
Configure the Analyze Image action
1. Connect your Imagga account
2. Optional- Configure Image URL
3. Optional- Configure Image File
4. Select a Image Process Type
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 Email on Email

Description:Get a unique address where you can send emails to trigger your workflow.

Version:0.0.1

Key:email-new-email

View on GitHub

Trigger Code#

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

export default {
  name: "New Email",
  version: "0.0.1",
  key: "email-new-email",
  description: "Get a unique address where you can send emails to trigger your workflow.",
  props: {
    email,
  },
  type: "source",
  methods: {},
  async run() {},
};

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
Email	`email`	`app`	This component uses the Email app.

Trigger Authentication#

The Email API does not require authentication.

About Email#

Trigger workflows on new emails, and send emails to yourself as part of a Pipedream workflow.

Action#

Analyze Image on Imagga

Description:Assign a category to a single image based on its visual content. [See the documentation](https://docs.imagga.com/?shell#categories-categorizer_id)

Version:0.0.1

Key:imagga-analyze-image

View on GitHub

Imagga Overview#

The Imagga API is a powerful image recognition tool that enables you to automate the process of analyzing and tagging images. With its AI-driven capabilities, you can extract a wealth of information from visual content. It offers features such as categorization, color extraction, and auto-tagging, making it incredibly useful for building workflows that require image analysis.

Action Code#

import { prepareAdditionalProps } from "../../common/constants.mjs";
import { prepareFile } from "../../common/utils.mjs";
import imagga from "../../imagga.app.mjs";

export default {
  key: "imagga-analyze-image",
  name: "Analyze Image",
  description: "Assign a category to a single image based on its visual content. [See the documentation](https://docs.imagga.com/?shell#categories-categorizer_id)",
  version: "0.0.1",
  type: "action",
  props: {
    imagga,
    imageUrl: {
      propDefinition: [
        imagga,
        "imageUrl",
      ],
      optional: true,
    },
    imageFile: {
      propDefinition: [
        imagga,
        "imageFile",
      ],
      optional: true,
    },
    imageProcessType: {
      propDefinition: [
        imagga,
        "imageProcessType",
      ],
      reloadProps: true,
    },
  },
  async additionalProps() {
    return prepareAdditionalProps({
      props: imagga.propDefinitions,
      type: this.imageProcessType,
    });
  },
  async run({ $ }) {
    const {
      imagga,
      imageUrl,
      imageFile,
      language = [],
      saveIndex,
      saveId,
      extractOverallColors,
      extractObjectColors,
      deterministic,
      verbose,
      threshold,
      decreaseParents,
      categorizerId,
      overallCount,
      separatedCount,
      imageProcessType,
      taggerId,
      ...params
    } = this;

    const file = await prepareFile({
      imageUrl,
      imageFile,
      imagga,
    });

    if (typeof extractOverallColors === "boolean") params.extract_overall_colors = +extractOverallColors;
    if (typeof extractObjectColors === "boolean") params.extract_object_colors = +extractObjectColors;
    if (typeof deterministic === "boolean") params.deterministic = +deterministic;
    if (typeof verbose === "boolean") params.verbose = +verbose;
    if (typeof decreaseParents === "boolean") params["decrease_parents"] = +decreaseParents;
    if (threshold) params.threshold = parseFloat(threshold);

    const response = await imagga.analyzeImage({
      $,
      taggerId,
      imageProcessType,
      categorizerId,
      params: {
        ...params,
        ...file,
        overall_count: overallCount,
        separated_count: separatedCount,
        language: language.toString(),
        save_index: saveIndex,
        save_id: saveId,
      },
    });

    $.export("$summary", "Image successfully assigned!");
    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
Imagga	`imagga`	`app`	This component uses the Imagga app.
Image URL	`imageUrl`	`string`	The URL of the image to analyze.
Image File	`imageFile`	`string`	The file path from `/tmp` dir of the image to analyze.
Image Process Type	`imageProcessType`	`string`	Select a value from the drop down menu:`{ "label": "Tags", "value": "tags" }{ "label": "Categories", "value": "categories" }{ "label": "Colors", "value": "colors" }`