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Emits a new event when a dataset refresh operation has completed. See the documentation
Emits an event when a dataset refresh operation has failed in Power BI. See the documentation
Emit new event when a new dataset refresh operation is created. See the documentation
Adds new data rows to the specified table within the specified dataset from My workspace. See the documentation
Create a HTML or a plain text email template. See the docs
Cancels a refresh operation for a specified dataset in Power BI. See the documentation
Creates a new Push Dataset in Power BI. See the documentation
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.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_power_bi: {
type: "app",
app: "microsoft_power_bi",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.powerbi.com/v1.0/myorg/availableFeatures`,
headers: {
Authorization: `Bearer ${this.microsoft_power_bi.$auth.oauth_access_token}`,
},
})
},
})
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.
module.exports = defineComponent({
props: {
amazon_ses: {
type: "app",
app: "amazon_ses",
}
},
async run({steps, $}) {
const AWS = require("aws-sdk")
const { accessKeyId, secretAccessKey } = this.amazon_ses.$auth
const ses = new AWS.SES({
accessKeyId,
secretAccessKey,
region: 'us-east-1',
})
const sesParams = {
Destination: {
ToAddresses: ["<your email here>"],
},
Message: {
Body: {
Html: {
Charset: "UTF-8",
Data: "<h1>This is a test</h1>",
},
Text: {
Charset: "UTF-8",
Data: "This is a test",
}
},
Subject: {
Charset: "UTF-8",
Data: "Test email",
}
},
Source: "<your from address here",
};
this.resp = await ses.sendEmail(sesParams).promise()
},
})