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server.js
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executable file
·140 lines (118 loc) · 4.11 KB
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#!/usr/bin/env node
import express from 'express';
const app = express();
import http from 'http';
const server = http.createServer(app);
import { Server } from 'socket.io';
import path from 'path';
import { fileURLToPath } from 'url';
const __filename = fileURLToPath(import.meta.url);
// socket-io server
const io = new Server(server, {
cors: {
origin: ["http://localhost:8080", "http://localhost:8081"],
},
});
app.get("/", (req, res) => {
res.sendFile(path.dirname(__filename) + "/build/index.html");
});
app.get("/bundle.js", (req, res) => {
res.sendFile(path.dirname(__filename) + "/build/bundle.js");
});
app.get("/export", (req, res) => {
res.set({
'Content-Type': 'application/json-attachment',
'content-disposition': 'attachment; filename="export.json"'
});
res.send(JSON.stringify(lossData));
});
// model must be doubly parsed prior to using this function
const parseModel = (model) => {
model = JSON.parse(model);
let layer = {};
let input_shape;
let output_shape;
let params;
for (let i = 0; i < model.config.layers.length; i++) {
// check if it's the first layer or not to set input shape
model.config.layers[i].config.batch_input_shape
? (input_shape = model.config.layers[i].config.batch_input_shape[1])
: (input_shape = model.config.layers[i - 1].config.units);
// set output shape
output_shape = model.config.layers[i].config.units;
// calculate layer height
const layer_height_px = 80 + (output_shape - 1) * 100;
// calculate connections
params = input_shape * output_shape + output_shape;
layer[i] = {
layer_number: i,
layer_type: model.config.layers[i].config.name.includes("dense")
? "DENSE"
: "NOT DENSE",
input_shape,
output_shape,
layer_height_px,
params,
};
}
return layer;
};
// session data: every connection between flowspace (socket.io server) and
// dev's environment (socket.io client) temporarily store data in these variables
// to be sent to Flowspaces's fronted (socket.io client)
let lossData = [];
let weightData;
let lossMethodHolder;
let savedModel;
const allWeightData = [];
let biasData;
let optimizerIterations;
let optimizerLearingRate;
// connect to socket-io client on dev's end
io.on("connection", (socket) => {
console.log("client connected");
// modelData event, means our socket.io-server is listening for this event from dev's
// socket.io client via the Handshake
socket.on("modelData", (data, allWeights) => {
const d = parseModel(data);
savedModel = parseModel(data);
allWeightData.push(allWeights);
io.sockets.emit("incomingData", d, allWeights);
});
// modelData event, means our socket.io-server is listening for this event from dev's
// socket.io client via the Handshake
socket.on("modelInfo", (lossMethod, optimizer, maxBias, maxWeight, loss) => {
if (loss.epoch === 0) {
lossData = [];
}
lossData.push(loss);
io.sockets.emit("sentOptimizerData", optimizer.iterations_, optimizer.learningRate);
io.sockets.emit("sentLossDataPlot", lossData);
io.sockets.emit("sentLossDataAnalytics", lossData, lossMethod);
io.sockets.emit("sentWeightData", maxWeight);
io.sockets.emit('sentBiasData', maxBias)
weightData = maxWeight;
biasData = maxBias;
optimizerIterations = optimizer.iterations_;
optimizerLearingRate = optimizer.learningRate;
lossMethodHolder = lossMethod
});
// onClick vent, means our socket.io-server is listening for this event from dev's
// socket.io client via the Handshake
socket.on("onClick", () => {
io.sockets.emit("incomingData", savedModel, allWeightData[allWeightData.length - 1]);
io.sockets.emit("sentLossDataPlot", lossData);
io.sockets.emit("sentLossDataAnalytics", lossData, lossMethodHolder);
io.sockets.emit("sentWeightData", weightData);
io.sockets.emit("sentBiasData", biasData);
io.sockets.emit("sentOptimizerData", optimizerIterations, optimizerLearingRate);
});
// diconnect vent, means our socket.io-server is listening for this event from dev's
// socket.io client via the Handshake
socket.on("disconnect", () => {
console.log("client disconnected");
});
});
server.listen(3333, () => {
console.log("Server listening on 3333");
});