Run Python Code with Python API on New Dataset Refresh Created from Microsoft Power BI API

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Trigger workflow on

New Dataset Refresh Created from the Microsoft Power BI API

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Run Python Code with the Python API

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Getting Started#

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

Select this integration
Configure the New Dataset Refresh Created 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 Run Python Code action
1. Connect your Python account
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 Dataset Refresh Created on Microsoft Power BI

Description:Emit new event when a new dataset refresh operation is created. [See the documentation](https://learn.microsoft.com/en-us/rest/api/power-bi/datasets/get-refresh-history)

Version:0.0.1

Key:microsoft_power_bi-new-dataset-refresh-created

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-new-dataset-refresh-created",
  name: "New Dataset Refresh Created",
  description: "Emit new event when a new dataset refresh operation is created. [See the documentation](https://learn.microsoft.com/en-us/rest/api/power-bi/datasets/get-refresh-history)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  ...common,
  methods: {
    ...common.methods,
    checkStatus() {
      return true;
    },
    getSummary() {
      return "New Refresh 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
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#

Run Python Code on Python

Description:Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.

Version:0.0.2

Key:python-run-python-code

View on GitHub

Python Overview#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Action Code#

import python from "../../python.app.mjs";

export default {
  name: "Run Python Code",
  version: "0.0.2",
  key: "python-run-python-code",
  description: "Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.",
  props: {
    python,
  },
  type: "action",
  methods: {},
  async run({
    steps, $,
  }) {
    // Placeholder action for Python code app
  },
};