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server.js
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const express = require('express');
const multer = require('multer');
const bodyParser = require('body-parser');
const { PythonShell } = require('python-shell');
const path = require('path');
const cors = require('cors');
const csv = require('csv-parser');
const fs = require('fs');
const { v4: uuidv4 } = require('uuid'); // Import uuid for unique session IDs
const app = express();
app.use(cors());
app.use(bodyParser.json());
const upload = multer({ dest: 'uploads/' });
app.get('/', (req, res) => {
res.send('Hello World!');
});
app.post('/upload', upload.single('file'), (req, res) => {
const sessionId = uuidv4(); // Generate a unique session ID
console.log(`file upload request received for session: ${sessionId}`);
const filePath = req.file.path;
const results = [];
fs.createReadStream(filePath)
.pipe(csv())
.on('data', (data) => results.push(data))
.on('end', () => {
const columns = Object.keys(results[0]);
const sessionDir = path.join(__dirname, 'uploads', sessionId);
if (!fs.existsSync(sessionDir)) {
fs.mkdirSync(sessionDir);
}
const tempFilePath = path.join(sessionDir, 'temp.csv');
fs.writeFileSync(tempFilePath, fs.readFileSync(filePath));
res.json({ sessionId, columns });
});
});
app.post('/train', (req, res) => {
const { sessionId, features, target, modelType } = req.body;
console.log(`train request received for session: ${sessionId}`);
const options = {
args: [features.join(','), target, modelType, sessionId],
pythonOptions: ['-u'],
scriptPath: path.join(__dirname)
};
let pyshell = new PythonShell('train_model.py', options);
let output = "";
pyshell.on('message', function (message) {
console.log("Python script output:", message);
if (message[0] === '{' && message[message.length - 1] === '}') {
output += message;
}
});
pyshell.on('stderr', function (stderr) {
console.error("Python script error:", stderr);
});
pyshell.end(function (err, code, signal) {
if (err) {
console.error("Error during training:", err);
return res.status(500).json({ error: err.message });
}
console.log("Training completed with exit code:", code);
try {
console.log("Parsing Python script output");
console.log(output);
const result = JSON.parse(output);
console.log(result);
res.json(result);
} catch (parseError) {
console.error("Error parsing Python script output:", parseError);
res.status(500).json({ error: "Error parsing Python script output" });
}
});
});
app.post('/predict', (req, res) => {
const { sessionId, features, data } = req.body;
console.log(`predict request received for session: ${sessionId}`);
const options = {
args: [features.join(','), JSON.stringify(data), sessionId],
pythonOptions: ['-u'],
scriptPath: path.join(__dirname)
};
let pyshell = new PythonShell('predict.py', options);
let output = "";
pyshell.on('message', function (message) {
console.log("Python script output:", message);
if (message[0] === '{' && message[message.length - 1] === '}') {
output += message;
}
});
pyshell.on('stderr', function (stderr) {
console.error("Python script error:", stderr);
});
pyshell.end(function (err, code, signal) {
if (err) {
console.error("Error during prediction:", err);
return res.status(500).json({ error: err.message });
}
console.log("Prediction completed with exit code:", code);
try {
console.log("Parsing Python script output");
console.log(output);
const result = JSON.parse(output);
console.log(result);
res.json(result);
} catch (parseError) {
console.error("Error parsing Python script output:", parseError);
res.status(500).json({ error: "Error parsing Python script output" });
}
});
});
const PORT = process.env.PORT || 5000;
app.listen(PORT, () => {
console.log(`Server started on port ${PORT}`);
});