Create Email Template with Amazon SES 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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Create Email Template with the Amazon SES API

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Getting Started#

This integration creates a workflow with a Microsoft Power BI trigger and Amazon SES 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 Create Email Template action
1. Connect your Amazon SES account
2. Select a AWS Region
3. Configure Template Name
4. Configure Subject
5. Optional- Configure HTML
6. Optional- Configure Text
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#

Create Email Template on Amazon SES

Description:Create a HTML or a plain text email template. [See the docs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-sesv2/classes/createemailtemplatecommand.html)

Version:0.0.1

Key:amazon_ses-create-email-template

View on GitHub

Amazon SES Overview#

Amazon Simple Email Service (SES) is a powerful cloud-based email sending service designed to help digital marketers and application developers send marketing, notification, and transactional emails. With the SES API, you can reliably send emails at scale, manage sender reputations, view email sending statistics, and maintain a high deliverability rate. Leveraging Pipedream's capabilities, you can integrate SES seamlessly into serverless workflows, automate email responses based on triggers from other apps, and analyze the effectiveness of your email campaigns by connecting to data analytics platforms.

Action Code#

import base from "../common/base.mjs";
import { ConfigurationError } from "@pipedream/platform";

export default {
  key: "amazon_ses-create-email-template",
  name: "Create Email Template",
  description: "Create a HTML or a plain text email template. [See the docs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-sesv2/classes/createemailtemplatecommand.html)",
  version: "0.0.1",
  type: "action",
  props: {
    ...base.props,
    TemplateName: {
      type: "string",
      label: "Template Name",
      description: "The email template name",
    },
    Subject: {
      propDefinition: [
        base.props.amazonSes,
        "Subject",
      ],
    },
    Html: {
      propDefinition: [
        base.props.amazonSes,
        "Html",
      ],
      optional: true,
    },
    Text: {
      propDefinition: [
        base.props.amazonSes,
        "Text",
      ],
      optional: true,
    },
  },
  async run({ $ }) {
    if (!this.Html && !this.Text) {
      throw new ConfigurationError("Html or Text must be configured");
    }

    const params = {
      TemplateName: this.TemplateName,
      TemplateContent: {
        Subject: this.amazonSes.replaceCurlyBrackets(this.Subject),
        Html: this.amazonSes.replaceCurlyBrackets(this.Html),
        Text: this.amazonSes.replaceCurlyBrackets(this.Text),
      },
    };
    const response = await this.amazonSes.createEmailTemplate(this.region, params);
    $.export("$summary", "Successfully created email template");
    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
Amazon SES	`amazonSes`	`app`	This component uses the Amazon SES app.
AWS Region	`region`	`string`	Select a value from the drop down menu.
Template Name	`TemplateName`	`string`	The email template name
Subject	`Subject`	`string`	The email subject line. Use `\{\{` and `\}\}` to insert tags. Example: `This is a \{\{tagname\}\}`.
HTML	`Html`	`string`	The HTML email body. Use `\{\{` and `\}\}` to insert tags. Example: `This is a \{\{tagname\}\}`.
Text	`Text`	`string`	The email body that will be visible to recipients whose email clients do not display HTML. Use `\{\{` and `\}\}` to insert tags. Example: `This is a \{\{tagname\}\}`.

Action Authentication#

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

Follow the AWS Instructions for creating an IAM user with an associated access and secret key, with the minimum IAM permissions necessary to send email or hit the desired SES APIs from Pipedream.

Enter the access and secret key below.