import { getFileStreamAndMetadata } from "@pipedream/platform";
import alttextify from "../../alttextify.app.mjs";
export default {
key: "alttextify-submit-image",
name: "Submit Image to Alttextify",
description: "Upload or submit an image to Alttextify for alt text generation. [See the documentation](https://apidoc.alttextify.net/#api-Image-UploadRawImage)",
version: "0.0.1",
type: "action",
props: {
alttextify,
alert: {
type: "alert",
alertType: "info",
content: "Supported formats: JPEG, PNG, GIF, WEBP, BMP\nMaximum file size: 16 MB\nMinimum dimensions: 50 x 50 (smaller images may not be able to generate alt text).",
},
async: {
type: "boolean",
label: "Async",
description: "Whether to add the image in the background or immediately (synchronously). If async is set to true, the API response will always be successful with an empty response body.",
default: false,
},
image: {
type: "string",
label: "Image",
description: "The URL of the file or path to the file saved to the `/tmp` directory. [See the documentation on working with files](https://pipedream.com/docs/code/nodejs/working-with-files/#writing-a-file-to-tmp)",
},
lang: {
type: "string",
label: "Language",
description: "The language for the alt text. Supported language codes are accepted. If not provided, the account's default language is used.",
default: "en",
},
maxChars: {
type: "integer",
label: "Max Characters",
description: "Maximum length of the generated alt text.",
},
assetId: {
type: "string",
label: "Asset ID",
description: "The unique identifier for the asset.",
optional: true,
},
keywords: {
type: "string[]",
label: "Keywords",
description: "List of keywords/phrases for SEO-optimized alt text. Only one or two will be used per alt text, but all are considered. Keywords must be in English, even for alt text in other languages.",
optional: true,
},
ecommerceRunOCR: {
type: "boolean",
label: "Ecommerce Run OCR",
description: "Flag to indicate if OCR should be run on the product.",
},
ecommerceProductName: {
type: "string",
label: "Ecommerce Product Name",
description: "The name of the product in the image.",
optional: true,
},
ecommerceProductBrand: {
type: "string",
label: "Ecommerce Product Brand",
description: "The brand of the product in the image.",
optional: true,
},
ecommerceProductColor: {
type: "string",
label: "Ecommerce Product Color",
description: "The color of the product in the image.",
optional: true,
},
ecommerceProductSize: {
type: "string",
label: "Ecommerce Product Size",
description: "The size of the product in the image.",
optional: true,
},
},
methods: {
async streamToBase64(stream) {
return new Promise((resolve, reject) => {
const chunks = [];
stream.on("data", (chunk) => {
chunks.push(chunk);
});
stream.on("end", () => {
const buffer = Buffer.concat(chunks);
resolve(buffer.toString("base64"));
});
stream.on("error", (err) => {
reject(err);
});
});
},
},
async run({ $ }) {
const {
stream, metadata,
} = await getFileStreamAndMetadata(this.image);
const base64String = await this.streamToBase64(stream);
const response = await this.alttextify.uploadImage({
$,
data: {
async: this.async,
image: `data:${metadata.contentType};base64,${base64String}`,
lang: this.lang,
maxChars: this.maxChars,
assetId: this.assetId,
keywords: this.keywords,
ecommerce: {
run_ocr: this.ecommerceRunOCR,
product: {
name: this.ecommerceProductName,
brand: this.ecommerceProductBrand,
color: this.ecommerceProductColor,
size: this.ecommerceProductSize,
},
},
},
});
$.export("$summary", `Successfully submitted image to Alttextify for alt text generation with Asset ID: ${response.asset_id}`);
return response;
},
};
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