Add Rows to Dataset Table with Microsoft Power BI API on New Submission from Typeform API

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New Submission from the Typeform 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 Typeform 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 Submission trigger
1. Connect your Typeform account
2. Select a Form
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 Submission on Typeform

Description:Emit new submission

Version:0.0.8

Key:typeform-new-submission

View on GitHub

Typeform Overview#

The Typeform API furnishes you with the means to create dynamic forms and collect user responses in real-time. By leveraging this API within Pipedream's serverless platform, you can automate workflows to process this data, integrate seamlessly with other services, and react to form submissions instantaneously. This empowers you to craft tailored responses, synchronize with databases, trigger email campaigns, or even manage event registrations without manual intervention.

Trigger Code#

import { createHmac } from "crypto";
import sampleEmit from "./test-event.mjs";
import { uuid } from "uuidv4";
import common from "../common/common.mjs";
import constants from "../../constants.mjs";
import utils from "../common/utils.mjs";

const { typeform } = common.props;
const { parseIsoDate } = utils;

export default {
  ...common,
  key: "typeform-new-submission",
  name: "New Submission",
  version: "0.0.8",
  type: "source",
  description: "Emit new submission",
  props: {
    ...common.props,
    http: {
      type: "$.interface.http",
      customResponse: true,
    },
    db: "$.service.db",
    formId: {
      propDefinition: [
        typeform,
        "formId",
      ],
    },
  },
  methods: {
    ...common.methods,
    generateSecret() {
      return "" + Math.random();
    },
  },
  hooks: {
    ...common.hooks,
    async activate() {
      const secret = this.generateSecret();
      this._setSecret(secret);

      let tag = this._getTag();
      if (!tag) {
        tag = uuid();
        this._setTag(tag);
      }

      return await this.typeform.createHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        tag,
        secret,
      });
    },
    async deactivate() {
      const tag = this._getTag();

      return await this.typeform.deleteHook({
        formId: this.formId,
        tag,
      });
    },
  },
  async run(event) {
    const {
      body,
      headers,
    } = event;

    const { [constants.TYPEFORM_SIGNATURE]: typeformSignature } = headers;

    if (typeformSignature) {
      const secret = this._getSecret();

      const hmac =
        createHmac(constants.ALGORITHM, secret)
          .update(body)
          .digest(constants.ENCODING);

      const signature = `${constants.ALGORITHM}=${hmac}`;

      if (typeformSignature !== signature) {
        throw new Error("signature mismatch");
      }
    }

    let formResponseString = "";
    const data = Object.assign({}, body.form_response);
    data.form_response_parsed = {};

    for (let i = 0; i < body.form_response.answers.length; i++) {
      const field = body.form_response.definition.fields[i];
      const answer = body.form_response.answers[i];

      let parsedAnswer;
      let value = answer[answer.type];

      if (value.label) {
        parsedAnswer = value.label;

      } else if (value.labels) {
        parsedAnswer = value.labels.join();

      } else if (value.choice) {
        parsedAnswer = value.choice;

      } else if (value.choices) {
        parsedAnswer = value.choices.join();

      } else {
        parsedAnswer = value;
      }

      data.form_response_parsed[field.title] = parsedAnswer;
      formResponseString += `### ${field.title}\n${parsedAnswer}\n`;
    }

    data.form_response_string = formResponseString;
    data.raw_webhook_event = body;

    if (data.landed_at) {
      data.landed_at = parseIsoDate(data.landed_at);
    }

    if (data.submitted_at) {
      data.submitted_at = parseIsoDate(data.submitted_at);
    }

    data.form_title = body.form_response.definition.title;
    delete data.answers;
    delete data.definition;

    this.$emit(data, {
      summary: JSON.stringify(data),
      id: data.token,
    });

    this.http.respond({
      status: 200,
    });
  },
  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
Typeform	`typeform`	`app`	This component uses the Typeform app.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Form	`formId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

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

offlineaccounts:readforms:writeforms:readimages:writeimages:readthemes:writethemes:readresponses:readresponses:writewebhooks:readwebhooks:writeworkspaces:readworkspaces:write

About Typeform#

Typeform lets you build no-code forms, quizzes, and surveys - and get more responses.

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