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

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Dataset Refresh Failed 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.

Select this integration
Configure the Dataset Refresh Failed trigger
1. Connect your Microsoft Power BI account
2. Optional- Select a Dataset ID
3. Optional- Configure Custom Dataset ID
4. Configure timer
Configure the Correct Color & Lighting action
1. Connect your Claid AI account
2. Configure Image URL
3. Configure Is Automated
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#

Dataset Refresh Failed on Microsoft Power BI

Description:Emits an event when a dataset refresh operation has failed in Power BI. [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-failed

View on GitHub

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-failed",
  name: "Dataset Refresh Failed",
  description: "Emits an event when a dataset refresh operation has failed in Power BI. [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 === "Failed";
    },
    getSummary() {
      return "New Failed Refresh";
    },
  },
};

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
Microsoft Power BI	`powerBiApp`	`app`	This component uses the Microsoft Power BI app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Dataset ID	`datasetId`	`string`	Select a value from the drop down menu.
Custom Dataset ID	`customDatasetId`	`string`	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#

Correct Color & Lighting on Claid AI

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

View on GitHub

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.

Label	Prop	Type	Description
Claid AI	`claidAi`	`app`	This component uses the Claid AI app.
Image URL	`image`	`string`	The image URL or the path to a file in the `/tmp` directory. See the documentation on working with files.
Is Automated	`isAutomated`	`boolean`	Whether you want the automated adjustment or manual for fine-tuning.