Image Background Removal with Runware API on New Test Result from TestMonitor API

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New Test Result from the TestMonitor API

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Image Background Removal with the Runware API

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Getting Started#

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

Select this integration
Configure the New Test Result trigger
1. Connect your TestMonitor account
2. Select a Project ID
3. Configure Polling interval
Configure the Image Background Removal action
1. Connect your Runware account
2. Configure Input Image
3. Optional- Select a Output Type
4. Optional- Select a Output Format
5. Optional- Configure Include Cost
6. Optional- Configure RGB
7. Optional- Configure Post-Process Mask
8. Optional- Configure Return Only Mask
9. Optional- Configure Alpha Matting
10. Optional- Configure Alpha Matting Foreground Threshold
11. Optional- Configure Alpha Matting Background Threshold
12. Optional- Configure Alpha Matting Erode Size
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 Test Result on TestMonitor

Description:Emit new event when a new test result is created.

Version:0.0.4

Key:testmonitor-new-test-result

View on GitHub

TestMonitor Overview#

TestMonitor API taps into the robust testing and project management platform, allowing you to automate issue tracking and test management processes. With this API, you can create, update, and retrieve issues, manage test cases and results, and integrate testing workflows with other systems. Leveraging Pipedream's serverless execution model, you can craft workflows that trigger on specific events within TestMonitor, reflect changes in real-time across other applications, or systematically analyze and report test outcomes.

Trigger Code#

import common from "../common/base.mjs";

export default {
  ...common,
  key: "testmonitor-new-test-result",
  name: "New Test Result",
  description: "Emit new event when a new test result is created.",
  version: "0.0.4",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getFunc() {
      return this.testmonitor.getTestResults;
    },
    getOrderField() {
      return "created_at";
    },
    getDataToEmit({
      id, description, created_at,
    }) {
      return {
        id,
        summary: `New Test Result created (${id} - ${description})`,
        ts: Date.parse(created_at),

      };
    },
  },
};

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
TestMonitor	`testmonitor`	`app`	This component uses the TestMonitor app.
Project ID	`projectId`	`integer`	Select a value from the drop down menu.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling interval	`timer`	`$.interface.timer`	Pipedream will poll the TestMonitor API on this schedule

Trigger Authentication#

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

You can get your API Token from your TestMonitor account by going to My Account, then API.
If your TestMonitor URL is https://123.testmonitor.com/, your domain is 123.

About TestMonitor#

TestMonitor, a modern software tool for functional, user- and acceptance tests of software implementations with one goal only: Testing with a smile!

Action#

Image Background Removal on Runware

Description:Request an image background removal task to be processed by the Runware API. [See the documentation](https://docs.runware.ai/en/image-editing/background-removal).

Version:0.0.2

Key:runware-image-background-removal

View on GitHub

Action Code#

import { ConfigurationError } from "@pipedream/platform";
import { v4 as uuid } from "uuid";
import app from "../../runware.app.mjs";
import constants from "../../common/constants.mjs";
import utils from "../../common/utils.mjs";

export default {
  key: "runware-image-background-removal",
  name: "Image Background Removal",
  description: "Request an image background removal task to be processed by the Runware API. [See the documentation](https://docs.runware.ai/en/image-editing/background-removal).",
  version: "0.0.2",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: false,
  },
  type: "action",
  props: {
    app,
    inputImage: {
      propDefinition: [
        app,
        "inputImage",
      ],
    },
    outputType: {
      propDefinition: [
        app,
        "outputType",
      ],
    },
    outputFormat: {
      propDefinition: [
        app,
        "outputFormat",
      ],
    },
    includeCost: {
      propDefinition: [
        app,
        "includeCost",
      ],
    },
    rgb: {
      type: "string[]",
      label: "RGB",
      description: "An array representing the `[red, green, blue]` values that define the color of the removed background. Eg. `[255, 255, 255]`.",
      optional: true,
    },
    postProcessMask: {
      type: "boolean",
      label: "Post-Process Mask",
      description: "Flag indicating whether to post-process the mask. Controls whether the mask should undergo additional post-processing. This step can improve the accuracy and quality of the background removal mask.",
      optional: true,
    },
    returnOnlyMask: {
      type: "boolean",
      label: "Return Only Mask",
      description: "Flag indicating whether to return only the mask. The mask is the opposite of the image background removal.",
      optional: true,
    },
    alphaMatting: {
      type: "boolean",
      label: "Alpha Matting",
      description: "Flag indicating whether to use alpha matting. Alpha matting is a post-processing technique that enhances the quality of the output by refining the edges of the foreground object.",
      optional: true,
    },
    alphaMattingForegroundThreshold: {
      type: "integer",
      label: "Alpha Matting Foreground Threshold",
      description: "Threshold value used in alpha matting to distinguish the foreground from the background. Adjusting this parameter affects the sharpness and accuracy of the foreground object edges. Eg. `240`.",
      optional: true,
      min: 1,
      max: 255,
    },
    alphaMattingBackgroundThreshold: {
      type: "integer",
      label: "Alpha Matting Background Threshold",
      description: "Threshold value used in alpha matting to refine the background areas. It influences how aggressively the algorithm removes the background while preserving image details. The higher the value, the more computation is needed and therefore the more expensive the operation is. Eg. `10`.",
      optional: true,
      min: 1,
      max: 255,
    },
    alphaMattingErodeSize: {
      type: "integer",
      label: "Alpha Matting Erode Size",
      description: "Specifies the size of the erosion operation used in alpha matting. Erosion helps in smoothing the edges of the foreground object for a cleaner removal of the background. Eg. `10`.",
      optional: true,
      min: 1,
      max: 255,
    },
  },
  methods: {
    getRGBA(rgb, alpha = 0) {
      if (rgb) {
        const parsed = utils.parseArray(rgb).map((value) => parseInt(value, 10));
        return parsed.concat(alpha);
      }
    },
  },
  async run({ $ }) {
    const {
      app,
      getRGBA,
      inputImage,
      outputType,
      outputFormat,
      includeCost,
      rgb,
      postProcessMask,
      returnOnlyMask,
      alphaMatting,
      alphaMattingForegroundThreshold,
      alphaMattingBackgroundThreshold,
      alphaMattingErodeSize,
    } = this;

    if (rgb && utils.parseArray(rgb).length !== 3) {
      throw new ConfigurationError("The **RGB** array must contain exactly 3 integer numbers. Eg. `[255, 255, 255]`.");
    }

    const response = await app.post({
      $,
      data: [
        {
          taskType: constants.TASK_TYPE.IMAGE_BACKGROUND_REMOVAL.value,
          taskUUID: uuid(),
          inputImage,
          outputType,
          outputFormat,
          includeCost,
          rgba: getRGBA(rgb),
          postProcessMask,
          returnOnlyMask,
          alphaMatting,
          alphaMattingForegroundThreshold,
          alphaMattingBackgroundThreshold,
          alphaMattingErodeSize,
        },
      ],
    });

    $.export("$summary", `Successfully requested image background removal task with UUID \`${response.data[0].taskUUID}\`.`);
    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
Runware	`app`	`app`	This component uses the Runware app.
Input Image	`inputImage`	`string`	Specifies the input image to be processed. The image can be specified in one of the following formats: An UUID v4 string of a previously uploaded image or a generated image. A data URI string representing the image. The data URI must be in the format `data:<mediaType>;base64,` followed by the base64-encoded image. For example: `data:image/png;base64,iVBORw0KGgo...`. A base64 encoded image without the data URI prefix. For example: `iVBORw0KGgo...`. A URL pointing to the image. The image must be accessible publicly. Supported formats are: PNG, JPG and WEBP.
Output Type	`outputType`	`string`	Select a value from the drop down menu:`base64DatadataURIURL`
Output Format	`outputFormat`	`string`	Select a value from the drop down menu:`PNGJPGWEBP`
Include Cost	`includeCost`	`boolean`	If set to `true`, the cost to perform the task will be included in the response object. Defaults to `false`.
RGB	`rgb`	`string[]`	An array representing the `[red, green, blue]` values that define the color of the removed background. Eg. `[255, 255, 255]`.
Post-Process Mask	`postProcessMask`	`boolean`	Flag indicating whether to post-process the mask. Controls whether the mask should undergo additional post-processing. This step can improve the accuracy and quality of the background removal mask.
Return Only Mask	`returnOnlyMask`	`boolean`	Flag indicating whether to return only the mask. The mask is the opposite of the image background removal.
Alpha Matting	`alphaMatting`	`boolean`	Flag indicating whether to use alpha matting. Alpha matting is a post-processing technique that enhances the quality of the output by refining the edges of the foreground object.
Alpha Matting Foreground Threshold	`alphaMattingForegroundThreshold`	`integer`	Threshold value used in alpha matting to distinguish the foreground from the background. Adjusting this parameter affects the sharpness and accuracy of the foreground object edges. Eg. `240`.
Alpha Matting Background Threshold	`alphaMattingBackgroundThreshold`	`integer`	Threshold value used in alpha matting to refine the background areas. It influences how aggressively the algorithm removes the background while preserving image details. The higher the value, the more computation is needed and therefore the more expensive the operation is. Eg. `10`.
Alpha Matting Erode Size	`alphaMattingErodeSize`	`integer`	Specifies the size of the erosion operation used in alpha matting. Erosion helps in smoothing the edges of the foreground object for a cleaner removal of the background. Eg. `10`.