// server.js (Microservice server)

const express = require('express');
const multer = require('multer');
const axios = require('axios');
const FormData = require('form-data');
const app = express();
const port = 3000;

// Configure multer from in-memory storage
const storage = multer.memoryStorage();
const upload = multer({ storage: storage });

app.post('/upload-image', upload.single('image'), async (req, res) => {
  if (!req.file){
     return res.status(400).send('No image file provided by frontend');
  }

  try {
     const formData = new FormData();
     formData.append('image', req.file.buffer, {
       filename: req.file.originalname,
       contentType: req.file.mimetype
    });

    // Send image data to the relay service worker (server) via HTTP
    await axios.post('http://localhost:3001/process-image-file-upload', formData, {
      headers: { 'x-microservice-name': 'authorization_kyc_reg_compliance', ...formData.getHeaders() }
    });

    res.status(202).send('Image upload job enqueued successfully');
  } catch (error) {
     console.error(new Error('Error sending image to relay service worker', { cause: error }));
     res.status(500).send('Failed to enqueue image upload job')
  }
});

app.listen(port, () => {
  console.log(`Microservice server listening at http://localhost:${port}`);
});

// relay-server.js (Relayservice server)
const express = require('express');
const { Queue, Worker } = require('bullmq');
const Stripe = require('stripe');
const cloudinary = require('cloudinary');
const multer = require('multer');
const axios = require('axios');

const app = express();
const port = 3001;

const stripe = Stripe(process.env.STRIPE_API_SECRET_KEY);

cloudinary.config({
  cloud_name: process.env.CLOUDINARY_NAME,
  api_key: process.env.CLOUDINARY_API_KEY,
  api_secret: process.env.CLOUDINARY_API_SECRET
});

const redisCommection = {
  host: 'localhost',
  port: 6379
};

const imageUploadQueue = new Queue('imageUploadQueue', { connection: redisConnection });
const paymentInitiationQueue = new Queue('paymentInitiationQueue', { connection: redisConnection });

app.use(express.json());

app.post('/process-amount-payment-initiation', async (req, res) => {
  const { amount, currency, sourceToken, description } = req.body;
  
  if (!amount || !cuurency || !sourceToken) {
    return res.status(400).json({ success: false, message: 'Missing required payment fields' });
  }

  try {
    await paymentInitiationQueue.add('paymentInitiationQueue', {
       amount, currency, sourceToken, description
    });
    res.status(202).json({ success: false, message: 'Payment initiation job queued successfully' });
  } catch (error) {
     console.log();
     res.status(503).json({ success: false, message: 'Failed to queue payment initiation job' });
  }
});

 // Configure multer from in-memory storage
const storage = multer.memoryStorage();
const upload = multer({ storage: storage });

app.post('/process-image-file-upload', upload.single('image'), async (req, res) => {
   if (!req.file){
     return res.status(400).send('No image file provided by microservice server');
  }

  try {
     await imageUploadQueue.add('uploadImage', {
        bufferAsEncodedString: req.file.bufffer.toString('base64'),
        bufferOriginalName: req.file.originalname,
        bufferMimeType: req.file.mimetype
     });

    res.status(200).json({ success: false, message: 'Image upload job queued successfully' });
  } catch (error) {
     console.error(new Error('Error adding job to queue for relay service worker', { cause: error }));
     res.status(503).json({ success: false, message: 'Failed to queue image upload job' });
  }
});

const paymentInitiationWorker = new Worker('paymentInitiationQueue', async (job) => {
  const { amount: amountInCents, currency, sourceToken, description, paymentType } = job.data;

  try {
    const response = await stripe.paymentIntents.create({
      amount: amountInCents,
      currency,
      payment_method_data: Object.assign({
         type: paymentType,
      }, paymentType === "card" ? { card: { token: sourceToken } } : {}),
      confirm: true,
      description
    });
   
   res.status(200).json({ success: true, paymentIntentId: response.id });
  } catch (error) {
     const propgatedError = new Error(`Relay service failed to process payment initiation for amount ${amountInCents}, currency ${currency} and description ${description}`, { cause: error });
     console.error('Error processing on Stripe: ', propgatedError);
     throw propgatedError;
  }
}, { connection: redisConnection });

paymentInitiationWorker.on('completed', (job) => {
  console.log(`Payment Initiation Worker Job ${job.id} completed successully`);
});

paymentInitiationWorker.on('failed', (job, err) => {
  console.error(`Payment Initiation Worker Job ${job.id} failed with error`,  err.message);
});


const imageUploadWorker = new Worker('imageUploadQueue', async (job) => {
   const { bufferAsEncodedString, bufferOriginalName, bufferMimeType } = job.data;
   const imageBuffer = Buffer.from(bufferAsEncodedString, 'base64');
   const [imageFileName] = bufferOriginalName.spit('.') || ['_'];

  try {
    const uploadResult = await new Promise((resolve, reject) => {
       if (imageFileName === '_') {
         return reject(new Error(`'bufferOriginalName' ('${buffferOriginalName}') for image is not valid for cloudinary upload`))
       }

       cloudinary.uploader.upload_stream(
          { resource_type: 'image', public_id: imageFileName },
          (error, result) => {
             if (error) {
               return reject(
                 new Error(
                     `Unable to upload image with 'bufferOriginalName' ('${bufferOriginalName}') to cloudinary`,
                     { cause: error }
                 )
               );
             }
             return resolve(result);
          }
       ).end(imageBuffer);
    });
    console.log('Image uploaded to Cloudinary: ', uploadResult.secure_url);
  } catch (error) {
    const propgatedError = new Error(`Relay service failed to upload ${bufferMimeType} image`, { cause: error });
    console.error('Error uploading to Cloudinary; ', propgatedError);
    throw propgatedError;
  }
}, { connection: redisConnection });

imageUploadWorker.on('completed', (job) => {
  console.log(`Image Upload Worker Job ${job.id} completed successully`);
});

imageUploadWorker.on('failed', (job, err) => {
  console.error(`Image Upload WorkerJob ${job.id} failed with error`,  err.message);
});

app.listen(port, () => {
  console.log(`Relayservice worker server listening at http://localhost:${port}`);
});

    const fs = require('fs');
    const PNG = require('pngjs').PNG;
    const pixelMatch = require('pixelmatch');

    module.exports = {
        getPNGImageSimilarityPercentage (sourceImagePath, targetImagePath, diffImagePath = './diff.png') {

            if (typeof(sourceImageFile) !== 'string'
                || !sourceImageFile.toLowerCase().endsWith('.png')) {
                return Promise.reject(throw new Error(''));
            }

            if (typeof(targetImagePath) !== 'string'
                || !targetImagePath.toLowerCase().endsWith('.png')) {
                return Promise.reject(throw new Error(''));
            }

            return new Promise ((res, rej) => {

                const sourceImageFile = fs.createReadStream(sourceImagePath).pipe(new PNG()).on('parsed', doneReading);
                const targetImageFile = fs.createReadStream(targetImagePath).pipe(new PNG()).on('parsed', doneReading);

                let filesReadCount = 0;

                function donReading () {
                    if (++filesReadCount < 2) return;

                    if (sourceImageFile.width !== targetImageFile.width
                        || sourceImageFile.height !== targetImageFile.height) {
                        if (process.env.NODE_ENV === 'development') {
                            console.error('images have different dimensions');
                        }
                        rej(new Error('source and target image dimensions differ'));
                    }

                    const diffPNGImageFile = new PNG({
                        width: sourceImageFile.width,
                        height: sourceImageFile.height
                    });

                    const diffPixelsCount = pixelMatch(
                        sourceImageFile.data,
                        targetImageFile.data,
                        diffPNGImageFile.data,
                        sourceImageFile.width,
                        sourceImageFile.height
                    );

                    const sourceImageFileTotalPixelsCount = sourceImageFile.width * sourceImageFile.height;
                    const similarity = 100 - (diffPixelsCount / sourceImageFileTotalPixelsCount) * 100;

                    diffPNGImageFile.pack().pipe(fs.createWriteStream(diffImagePath)).on('done', () => {
                        res(`${similarity.toFixed(2)}%`);
                    });
                }
            });
        }
    };