pissbot-9000/commands/message/utils/ocr.js

const { googleVisionOcr } = require("#api");
const { PERMISSION_GROUPS } = require("#constants");

const { getRecentImage } = require("#utils/attachment");
const { createEmbed } = require("#utils/embed");
const { codeblock, smallIconPill } = require("#utils/markdown");
const { editOrReply } = require("#utils/message");
const { STATICS } = require("#utils/statics");

module.exports = {
  name: 'ocr',
  metadata: {
    description: `${smallIconPill("reply", "Supports Replies")}\n\nUses Optical Character Recognition to detect text in images.`,
    description_short: 'Image text recognition.',
    category: 'utils',
    usage: 'ocr <attachment>',
    slashCommand: "OCR"
  },
  permissionsClient: [...PERMISSION_GROUPS.baseline],
  run: async (context) => {
    context.triggerTyping();
    let image = await getRecentImage(context, 50)
    if (!image) return editOrReply(context, createEmbed("warning", context, "No images found."))

    let ocr;
    try{
      ocr = await googleVisionOcr(context, image)
    }catch(e){
      return editOrReply(context, createEmbed("error", context, "Unable to retrieve Google Vision API response."))
    }
    
    if(ocr.response.body.status == 1) return editOrReply(context, createEmbed("warning", context, ocr.response.body.text))

    return editOrReply(context, createEmbed("default", context, {
      thumbnail: {
        url: image
      },
      description: codeblock("ansi", [ocr.response.body.text.substr(0,4000)]),
      footer: {
        iconUrl: STATICS.googlelens,
        text: `Google Lens • ${context.application.name} • Took ${ocr.timings}s`
      }
    }))
  },
};