with Megaventory and Google Gemini?
Emit new event when a new product is created. See the docs
Emit new event when a new purchase order is created. See the docs
Emit new event when a new sales order is created. See the docs
Insert or update a product in the database. See the docs
Generates content from text input using the Google Gemini API. See the documentation
Insert or update a purchase order in the database. See the docs
Generates content from both text and image input using the Gemini API. See the documentation
Insert or update a sales order in the database. See the docs
Megaventory is a robust inventory management API allowing for detailed tracking of products, orders, and the supply chain. You can automate the updating of stock levels, manage sales and purchase orders, and generate detailed reports. With Megaventory and Pipedream, you can craft automation workflows to streamline inventory operations, synchronize data across platforms, and trigger actions based on inventory changes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
megaventory: {
type: "app",
app: "megaventory",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.megaventory.com/v2017a/json/reply/ProductGet?APIKEY=${this.megaventory.$auth.api_key}`,
headers: {
"Authorization": `Token token=${this.megaventory.$auth.api_key}`,
"Content-Type": `application/json`,
},
})
},
})
The Google Gemini API is a cutting-edge tool from Google that enables developers to leverage AI models like Imagen and MusicLM to create and manipulate images and music based on textual descriptions. With Pipedream, you can harness this API to automate workflows that integrate AI-generated content into a variety of applications, from generating visuals for social media posts to composing background music for videos. Pipedream's serverless platform allows you to connect Google Gemini API with other apps to create complex, event-driven workflows without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_gemini: {
type: "app",
app: "google_gemini",
}
},
async run({steps, $}) {
const data = `{{your_promptt}}`;
//E.g. {"contents":[{"parts":[{"text":"Write a story about a magic backpack"}]}]}
return await axios($, {
method: "POST",
url: `https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent`,
headers: {
"Content-Type": "application/json",
},
params: {
key: `${this.google_gemini.$auth.api_key}`,
},
data
})
},
})