MongoDB is an open source NoSQL database management program.
Create a new document in a collection of your choice. See the docs here
Extracts text from the provided image using Azure AI Vision OCR. See the documentation
Execute an aggregation pipeline on a MongoDB collection. See the documentation
The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.
import mongodb from 'mongodb'
export default defineComponent({
props: {
mongodb: {
type: "app",
app: "mongodb",
},
collection: {
type: "string"
},
filter: {
type: "object"
}
},
async run({steps, $}) {
const MongoClient = mongodb.MongoClient
const {
database,
hostname,
username,
password,
} = this.mongodb.$auth
const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
const client = await MongoClient.connect(url, {
useNewUrlParser: true,
useUnifiedTopology: true
})
const db = client.db(database)
const results = await db.collection(this.collection).find(this.filter).toArray();
$.export('results', results);
await client.close()
},
})
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,
})
},
})