Add Rows to Dataset Table with Microsoft Power BI API on New Transaction Posted from PolygonScan API

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New Transaction Posted from the PolygonScan API

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Add Rows to Dataset Table with the Microsoft Power BI API

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Getting Started#

This integration creates a workflow with a PolygonScan 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 Transaction Posted trigger
1. Connect your PolygonScan account
2. Configure Address
3. Configure timer
Configure the Add Rows to Dataset Table action
1. Connect your Microsoft Power BI account
2. Select a Dataset ID
3. Select a Table Name
4. Configure Rows
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 Transaction Posted on PolygonScan

Description:Emit new event when a new transaction is posted on the PolygonScan network for a specific address.

Version:0.0.1

Key:polygonscan-transaction-posted

View on GitHub

PolygonScan Overview#

The PolygonScan API provides access to blockchain data from the Polygon network. It allows for querying of blocks, transactions, and wallet addresses, among other data points. With Pipedream, you can integrate this API to automate monitoring, alerting, and data analysis tasks. You can leverage Pipedream's serverless platform to create workflows that react to events on the Polygon network in real-time, without having to manage infrastructure or write complex backend code.

Trigger Code#

import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import polygonscan from "../../polygonscan.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "polygonscan-transaction-posted",
  name: "New Transaction Posted",
  description: "Emit new event when a new transaction is posted on the PolygonScan network for a specific address.",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    polygonscan,
    db: "$.service.db",
    address: {
      propDefinition: [
        polygonscan,
        "address",
      ],
    },
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  methods: {
    _getLastBlockNumber() {
      return this.db.get("lastBlockNumber") || 0;
    },
    _setLastBlockNumber(lastBlockNumber = null) {
      this.db.set("lastBlockNumber", lastBlockNumber);
    },
    async startEvent(maxResults = 0) {
      const lastBlockNumber = this._getLastBlockNumber();

      const response = this.polygonscan.paginate({
        fn: this.polygonscan.getTransactionsByAddress,
        maxResults,
        params: {
          startblock: lastBlockNumber,
          address: this.address,
          sort: "desc",
        },
      });

      let responseArray = [];

      for await (const item of response) {
        responseArray.push(item);
      }

      if (responseArray.length) this._setLastBlockNumber(responseArray[0].blockNumber);

      for (const item of responseArray) {
        this.$emit(item, {
          id: item.blockNumber,
          summary: `New transaction with hash: ${item.hash}`,
          ts: item.timeStamp,
        });
      }
    },
  },
  hooks: {
    async deploy() {
      await this.startEvent(25);
    },
  },
  async run() {
    await this.startEvent();
  },
  sampleEmit,
};

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
PolygonScan	`polygonscan`	`app`	This component uses the PolygonScan app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Address	`address`	`string`	The address to watch for new transactions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

About PolygonScan#

Blockchain explorer for the Polygon (MATIC) network.

Action#

Add Rows to Dataset Table on Microsoft Power BI

Description:Adds new data rows to the specified table within the specified dataset from My workspace. [See the documentation](https://learn.microsoft.com/en-us/rest/api/power-bi/push-datasets/datasets-post-rows)

Version:0.0.4

Key:microsoft_power_bi-add-rows-dataset-table

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

export default {
  key: "microsoft_power_bi-add-rows-dataset-table",
  name: "Add Rows to Dataset Table",
  description: "Adds new data rows to the specified table within the specified dataset from My workspace. [See the documentation](https://learn.microsoft.com/en-us/rest/api/power-bi/push-datasets/datasets-post-rows)",
  version: "0.0.4",
  type: "action",
  props: {
    powerBi,
    datasetId: {
      propDefinition: [
        powerBi,
        "datasetId",
        () => ({
          addRowsAPIEnabled: true,
        }),
      ],
      description: "Select a Dataset or provide a custom Dataset ID. Note: Only Datasets created via API (Push Datasets) can be added to.",
    },
    tableName: {
      propDefinition: [
        powerBi,
        "tableName",
        ({ datasetId }) => ({
          datasetId,
        }),
      ],
    },
    rows: {
      propDefinition: [
        powerBi,
        "rows",
      ],
    },
  },
  async run({ $ }) {
    const response = await this.powerBi.addRowsToTable({
      $,
      datasetId: this.datasetId,
      tableName: this.tableName,
      data: {
        rows: this.rows.map((row, index) => {
          try {
            return typeof row === "object"
              ? row
              : JSON.parse(row);
          } catch (err) {
            throw new ConfigurationError(`Error parsing entry index ${index} as JSON: \`${row}\``);
          }
        }),
      },
    });

    $.export("$summary", `Successfully added rows to table "${this.tableName}"`);
    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.
Dataset ID	`datasetId`	`string`	Select a value from the drop down menu.
Table Name	`tableName`	`string`	Select a value from the drop down menu.
Rows	`rows`	`string[]`	An array of data rows to add to the dataset table. Each element should be a JSON object represented using key-value format.

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