← Microsoft Power BI + Claid AI integrations

Correct Color & Lighting with Claid AI API on Dataset Refresh Completed from Microsoft Power BI API

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Dataset Refresh Completed from the Microsoft Power BI API
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Correct Color & Lighting with the Claid AI API
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Getting Started

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

  1. Select this integration
  2. Configure the Dataset Refresh Completed trigger
    1. Connect your Microsoft Power BI account
    2. Optional- Select a Dataset ID
    3. Optional- Configure Custom Dataset ID
    4. Configure timer
  3. Configure the Correct Color & Lighting action
    1. Connect your Claid AI account
    2. Configure Image URL
    3. Configure Is Automated
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emits a new event when a dataset refresh operation has completed. [See the documentation](https://learn.microsoft.com/en-us/rest/api/power-bi/datasets/get-refresh-history)
Version:0.0.4
Key:microsoft_power_bi-dataset-refresh-completed

Microsoft Power BI Overview

The Microsoft Power BI API allows you to interact with your Power BI assets programmatically. With this API, you can embed your reports and dashboards into applications, manage Power BI datasets, push data into datasets for real-time dashboard updates, and automate your reporting workflows. On Pipedream, you can use this API to create intricate workflows that react to various triggers, like webhooks or schedules, and perform actions like refreshing datasets, posting to datasets, and managing Power BI assets.

Trigger Code

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

export default {
  key: "microsoft_power_bi-dataset-refresh-completed",
  name: "Dataset Refresh Completed",
  description: "Emits a new event when a dataset refresh operation has completed. [See the documentation](https://learn.microsoft.com/en-us/rest/api/power-bi/datasets/get-refresh-history)",
  version: "0.0.4",
  type: "source",
  dedupe: "unique",
  ...common,
  methods: {
    ...common.methods,
    checkStatus(status) {
      return status === "Completed";
    },
    getSummary() {
      return "New Refresh Completed";
    },
  },
};

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.
LabelPropTypeDescription
Microsoft Power BIpowerBiAppappThis component uses the Microsoft Power BI app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Dataset IDdatasetIdstringSelect a value from the drop down menu.
Custom Dataset IDcustomDatasetIdstring

You may enter a Dataset ID directly. Either Dataset ID or Custom Dataset ID must be entered.

timer$.interface.timer

Trigger Authentication

Microsoft Power BI uses OAuth authentication. When you connect your Microsoft Power BI account, Pipedream will open a popup window where you can sign into Microsoft Power BI and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Microsoft Power BI API.

Pipedream requests the following authorization scopes when you connect your account:

offline_accesshttps://analysis.windows.net/powerbi/api/App.Read.Allhttps://analysis.windows.net/powerbi/api/Dashboard.Read.Allhttps://analysis.windows.net/powerbi/api/Workspace.Read.Allhttps://analysis.windows.net/powerbi/api/Dataset.ReadWrite.All

About Microsoft Power BI

Visualize any data and integrate the visuals into the apps you use every day with Power BI, a unified platform for self-service and business intelligence.

Action

Description:Automatically adjusts the color and lighting of an image by applying HDR. The result is an enhancement of the dynamic range in dark or overexposed images. [See the documentation](https://docs.claid.ai/image-editing-api/image-operations/color-adjustments)
Version:0.0.1
Key:claid_ai-correct-color-lighting

Claid AI Overview

Claid AI API provides tools for image enhancement, including resizing, cropping, increasing resolution, and optimizing for web use. It's suitable for automating image processing tasks in applications like e-commerce, real estate, and content management. On Pipedream, you can create serverless workflows that use the Claid AI API to process images in response to various triggers, such as new file uploads or webhooks, and then pass the processed images to other services or store them.

Action Code

import FormData from "form-data";
import fs from "fs";
import urlExists from "url-exist";
import claidAi from "../../claid_ai.app.mjs";
import { checkTmp } from "../../common/utils.mjs";

export default {
  key: "claid_ai-correct-color-lighting",
  name: "Correct Color & Lighting",
  description: "Automatically adjusts the color and lighting of an image by applying HDR. The result is an enhancement of the dynamic range in dark or overexposed images. [See the documentation](https://docs.claid.ai/image-editing-api/image-operations/color-adjustments)",
  version: "0.0.1",
  type: "action",
  props: {
    claidAi,
    image: {
      propDefinition: [
        claidAi,
        "image",
      ],
    },
    isAutomated: {
      type: "boolean",
      label: "Is Automated",
      description: "Whether you want the automated adjustment or manual for fine-tuning.",
      reloadProps: true,
    },
  },
  async additionalProps() {
    const props = {};
    if (this.isAutomated) {
      props.is360 = {
        type: "boolean",
        label: "Is 360",
        description: "Whether the image is a 360 image or not",
        reloadProps: true,
        default: false,
      };
      props.hdr = {
        type: "integer",
        label: "HDR",
        description: "The intensity of the adjustment.",
      };
      if (this.is360) {
        props.hdr.label = "Intensity";
        props.stitching = {
          type: "boolean",
          label: "Stitching",
          description: "Whether the image will be stitched or not.",
        };
      }
    } else {
      props.exposure = {
        type: "string",
        label: "Exposure",
        description: "Decrease (-100) or increase (100) exposure.",
      };
      props.saturation = {
        type: "string",
        label: "Saturation",
        description: "Decrease (-100) or increase (100) saturation.",
      };
      props.contrast = {
        type: "string",
        label: "Contrast",
        description: "Decrease (-100) or increase (100) contrast.",
      };
      props.sharpness = {
        type: "integer",
        label: "Sharpness",
        description: "Increase sharpness.",
        min: 0,
        max: 100,
      };
    }
    return props;
  },
  async run({ $ }) {
    let imageUrl = this.image;
    let response = "";

    const operations = {
      adjustments: {
        exposure: parseInt(this.exposure),
        saturation: parseInt(this.saturation),
        contrast: parseInt(this.contrast),
        sharpness: this.sharpness,
      },
    };

    if (this.isAutomated) {
      operations.adjustments = {
        "hdr": this.hdr,
      };
      if (this.is360) {
        operations.adjustments.hdr = {
          "intensity": this.hdr,
          "stitching": this.stitching,
        };
      }
    }

    if (!await urlExists(this.image)) {
      const formData = new FormData();
      formData.append("file", fs.createReadStream(checkTmp(this.image)));
      formData.append("data", JSON.stringify({
        operations,
      }));

      response = await this.claidAi.uploadImage({
        $,
        data: formData,
        headers: formData.getHeaders(),
      });
    } else {
      response = await this.claidAi.editImage({
        $,
        data: {
          input: imageUrl,
          operations,
        },
      });
    }

    $.export("$summary", "Successfully adjusted color and lighting");
    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.

LabelPropTypeDescription
Claid AIclaidAiappThis component uses the Claid AI app.
Image URLimagestring

The image URL or the path to a file in the /tmp directory. See the documentation on working with files.

Is AutomatedisAutomatedboolean

Whether you want the automated adjustment or manual for fine-tuning.

Action Authentication

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

About Claid AI

Transform e-commerce visuals effortlessly with Claid AI. From image enhancements to AI Photoshoots, create professional product photos that drive conversion 📸✨

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