with Microsoft Power BI and Azure AI Vision?
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
Extracts text from the provided image using Azure AI Vision OCR. See the documentation
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
Triggers a refresh operation for a specified Power BI dataset. 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}`,
},
})
},
})
The Azure AI Vision API provides powerful image analysis capabilities, enabling you to extract information and insights from your visual data. With this API, you can perform tasks like image classification, object detection, and OCR (Optical Character Recognition) to recognize text within images. Leveraging Pipedream, you can integrate these AI-powered insights into your workflows to create dynamic and automated processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
azure_ai_vision: {
type: "app",
app: "azure_ai_vision",
}
},
async run({steps, $}) {
const data = {
"url": `https://images.unsplash.com/photo-1528459199957-0ff28496a7f6`, //e.g. https://images.unsplash.com/photo-1528459199957-0ff28496a7f6
}
return await axios($, {
method: "POST",
url: `${this.azure_ai_vision.$auth.endpoint}computervision/imageanalysis:analyze`,
params: {
"api-version": `2023-02-01-preview`,
features: `read`, //e.g. read
},
headers: {
"Ocp-Apim-Subscription-Key": `${auths.azure_ai_vision.subscription_key}`,
},
data,
})
},
})