Image Background Removal with Runware API on New Contact from Twilio SendGrid API

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New Contact from the Twilio SendGrid 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 Twilio SendGrid 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 Contact trigger
1. Connect your Twilio SendGrid account
2. Configure timer
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 Contact on Twilio SendGrid

Description:Emit new event when a new contact is created

Version:0.0.6

Key:sendgrid-new-contact

View on GitHub

Twilio SendGrid Overview#

The Twilio SendGrid API opens up a world of possibilities for email automation, enabling you to send emails efficiently and track their performance. With this API, you can programmatically create and send personalized email campaigns, manage contacts, and parse inbound emails for data extraction. When you harness the power of Pipedream, you can connect SendGrid to hundreds of other apps to automate workflows, such as triggering email notifications based on specific actions, syncing email stats with your analytics, or handling incoming emails to create tasks or tickets.

Trigger Code#

import orderBy from "lodash/orderBy.js";
import common from "../common/timer-based.mjs";

export default {
  ...common,
  key: "sendgrid-new-contact",
  name: "New Contact",
  description: "Emit new event when a new contact is created",
  version: "0.0.6",
  type: "source",
  dedupe: "unique",
  hooks: {
    async activate() {
      const currentTimestamp = Date.now();
      const state = {
        processedItems: [],
        lowerTimestamp: currentTimestamp,
        upperTimestamp: currentTimestamp,
      };
      this.db.set("state", state);
    },
  },
  methods: {
    ...common.methods,
    _maxDelayTime() {
      // There is no report from SendGrid as to how much time it takes
      // for a contact to be created and appear in search results, so
      // we're using a rough estimate of 30 minutes here.
      return 30 * 60 * 1000;  // 30 minutes, in milliseconds
    },
    _addDelayOffset(timestamp) {
      return timestamp - this._maxDelayTime();
    },
    _cleanupOldProcessedItems(processedItems, currentTimestamp) {
      return processedItems
        .map((item) => ({
          // We just need to keep track of the record ID and
          // its creation date.
          id: item.id,
          created_at: item.created_at,
        }))
        .filter((item) => {
          const { created_at: createdAt } = item;
          const createdAtTimestamp = Date.parse(createdAt);
          const cutoffTimestamp = this._addDelayOffset(currentTimestamp);
          return createdAtTimestamp > cutoffTimestamp;
        });
    },
    _makeSearchQuery(processedItems, lowerTimestamp, upperTimestamp) {
      const idList = processedItems
        .map((item) => item.id)
        .map((id) => `'${id}'`)
        .join(", ")
      || "''";
      const startTimestamp = this._addDelayOffset(lowerTimestamp);
      const startDate = this.toISOString(startTimestamp);
      const endDate = this.toISOString(upperTimestamp);
      return `
        contact_id NOT IN (${idList}) AND
        created_at BETWEEN
          TIMESTAMP '${startDate}' AND
          TIMESTAMP '${endDate}'
      `;
    },
    generateMeta(data) {
      const {
        item,
        eventTimestamp: ts,
      } = data;
      const {
        id,
        email,
      } = item;
      const slugifiedEmail = this.slugifyEmail(email);
      const summary = `New contact: ${slugifiedEmail}`;
      return {
        id,
        summary,
        ts,
      };
    },
    async processEvent(event) {
      // Transform the timer timestamp to milliseconds
      // to be consistent with how Javascript handles timestamps.
      const eventTimestamp = event.timestamp * 1000;

      // Retrieve the current state of the component.
      const {
        processedItems,
        lowerTimestamp,
        upperTimestamp,
      } = this.db.get("state");

      // Search for contacts within a specific timeframe, excluding
      // items that have already been processed.
      const query = this._makeSearchQuery(processedItems, lowerTimestamp, upperTimestamp);
      const {
        result: items,
        contact_count: contactCount,
      } = await this.sendgrid.searchContacts(query);

      // If no contacts have been retrieved via the API,
      // move the time window forward to possibly capture newer contacts.
      if (contactCount === 0) {
        const newState = {
          processedItems: this._cleanupOldProcessedItems(processedItems, lowerTimestamp),
          lowerTimestamp: upperTimestamp,
          upperTimestamp: eventTimestamp,
        };
        this.db.set("state", newState);
        return;
      }

      // We process the searched records from oldest to newest.
      const itemsToProcess = orderBy(items, "created_at");
      itemsToProcess
        .forEach((item) => {
          const meta = this.generateMeta({
            item,
            eventTimestamp,
          });
          this.$emit(item, meta);
        });

      // Use the timestamp of the last processed record as a lower bound for
      // following searches. This bound will be subjected to an offset so in
      // case older records appear in future search results, but have not
      // appeared until now, can be processed. We only adjust it if it means
      // moving forward, not backwards. Otherwise, we might start retrieving
      // older and older records indefinitely (and we're all about *new*
      // records!)
      const newLowerTimestamp = Math.max(
        lowerTimestamp,
        Date.parse(itemsToProcess[0].created_at),
      );

      // If the total contact count is less than 100, it means that during the
      // next iteration the search results count will most likely be less than
      // 50. In that case, if we extend the upper bound of the search time range
      // we might be able to retrieve more records.
      const newUpperTimestamp = contactCount < 100
        ? eventTimestamp
        : upperTimestamp;

      // The list of processed items can grow indefinitely.
      // Since we don't want to keep track of every processed record
      // ever, we need to clean up this list, removing any records
      // that are no longer relevant.
      const newProcessedItems = this._cleanupOldProcessedItems(
        [
          ...processedItems,
          ...itemsToProcess,
        ],
        newLowerTimestamp,
      );

      // Update the state of the component to reflect the computations
      // made above.
      const newState = {
        processedItems: newProcessedItems,
        lowerTimestamp: newLowerTimestamp,
        upperTimestamp: newUpperTimestamp,
      };
      this.db.set("state", newState);
    },
  },
};

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

Trigger Authentication#

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

About Twilio SendGrid#

Send marketing and transactional email through the Twilio SendGrid platform with the Email API, proprietary mail transfer agent, and infrastructure for scalable delivery.

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:0.0.1

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: "0.0.1",
  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`.