Create Dataset with Microsoft Power BI API on New Measure from Withings API

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Trigger workflow on

New Measure from the Withings API

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Create Dataset with the Microsoft Power BI API

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Getting Started#

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

Select this integration
Configure the New Measure trigger
1. Connect your Withings account
2. Configure timer
Configure the Create Dataset action
1. Connect your Microsoft Power BI account
2. Configure Name
3. Configure Tables
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 Measure on Withings

Description:Emit new event for each created measure. [See docs here](https://developer.withings.com/api-reference#operation/measure-getmeas)

Version:0.0.3

Key:withings-new-measure

View on GitHub

Withings Overview#

Withings API lets you tap into health and wellness data from Withings devices like smart scales, watches, and sleep trackers. The API enables you to fetch measurements such as weight, activity, sleep, and heart rate data. This data can inform personal health apps, trigger notifications for health milestones, or integrate with health coaching platforms. By leveraging Pipedream's power, you can automate workflows that react to this data, enriching user profiles, informing coaching decisions, or driving wellness-focused communities and challenges.

Trigger Code#

import withings from "../../withings.app.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  key: "withings-new-measure",
  name: "New Measure",
  description: "Emit new event for each created measure. [See docs here](https://developer.withings.com/api-reference#operation/measure-getmeas)",
  type: "source",
  version: "0.0.3",
  dedupe: "unique",
  props: {
    withings,
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  async run() {
    const oneDayInSeconds = 24 * 60 * 60; // hours * minutes * seconds
    const oneDayAgo = Math.round((new Date().getTime() / 1000) - oneDayInSeconds);
    const measures = await this.withings.getMeasures({
      params: {
        lastupdate: oneDayAgo,
      },
    });

    for (const measure of measures) {
      this.$emit(measure, {
        id: measure.grpid,
        summary: `New measure ${measure.grpid}`,
        ts: Date.parse(measure.created),
      });
    }
  },
};

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
Withings	`withings`	`app`	This component uses the Withings app.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

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

user.metricsuser.activity

About Withings#

Smart Scales, Watches and Health Monitors

Action#

Create Dataset on Microsoft Power BI

Description:Creates a new Push Dataset in Power BI. [See the documentation](https://learn.microsoft.com/en-us/rest/api/power-bi/push-datasets/datasets-post-dataset)

Version:0.0.2

Key:microsoft_power_bi-create-dataset

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.

Action Code#

import powerBi from "../../microsoft_power_bi.app.mjs";
import { ConfigurationError } from "@pipedream/platform";

export default {
  key: "microsoft_power_bi-create-dataset",
  name: "Create Dataset",
  description: "Creates a new Push Dataset in Power BI. [See the documentation](https://learn.microsoft.com/en-us/rest/api/power-bi/push-datasets/datasets-post-dataset)",
  version: "0.0.2",
  type: "action",
  props: {
    powerBi,
    name: {
      type: "string",
      label: "Name",
      description: "Name of the new dataset",
    },
    tables: {
      type: "string",
      label: "Tables",
      description: `An array of [Table](https://learn.microsoft.com/en-us/rest/api/power-bi/push-datasets/datasets-post-dataset#table) objects. Custom expression recommended.
      Example: [{
        "name": "Product",
        "columns": [
          {
            "name": "ProductID",
            "dataType": "Int64"
          },
          {
            "name": "Name",
            "dataType": "string"
          }
        ]
      }]`,
    },
  },
  async run({ $ }) {
    let tables = this.tables;
    if (!Array.isArray(tables)) {
      try {
        tables = JSON.parse(tables);
      } catch {
        throw new ConfigurationError("Could not parse Tables array.");
      }
    }
    const response = await this.powerBi.createDataset({
      data: {
        name: this.name,
        defaultMode: "Push",
        tables,
      },
      $,
    });

    $.export("$summary", `Successfully created new dataset "${this.name}".`);

    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
Microsoft Power BI	`powerBi`	`app`	This component uses the Microsoft Power BI app.
Name	`name`	`string`	Name of the new dataset
Tables	`tables`	`string`	An array of Table objects. Custom expression recommended. Example: [{ "name": "Product", "columns": [ { "name": "ProductID", "dataType": "Int64" }, { "name": "Name", "dataType": "string" } ] }]

Action 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