dev-amolrakh

# fast_csv_load.py
import pandas as pd

def load_csv(path, usecols=None, dtypes=None, chunksize=10_000):
    if dtypes is None:
        dtypes = {}
    if chunksize:
        chunks = []
        for chunk in pd.read_csv(path, usecols=usecols, dtype=dtypes, chunksize=chunksize):
            chunks.append(chunk)

dev-amolrakh

# set_seed.py
# Set deterministic seeds for reproducibility across libs.

import os
import random
import numpy as np

def set_seed(seed: int = 42):
    os.environ["PYTHONHASHSEED"] = str(seed)
    random.seed(seed)

dev-amolrakh

import multer from "multer";

const storage = multer.diskStorage({
  destination: "uploads/",
  filename: (_, file, cb) => cb(null, Date.now() + "-" + file.originalname),
});

export const upload = multer({ storage });

dev-amolrakh

// responseLogger.js
// Express.js middleware to log API response times and errors using Morgan and Winston.

import express from "express";
import morgan from "morgan";
import winston from "winston";
import path from "path";
import fs from "fs";

const app = express();

dev-amolrakh

import mongoose from "mongoose";

export const connectDB = async () => {
  try {
    await mongoose.connect(process.env.MONGO_URI);
    console.log("MongoDB Connected");
  } catch (err) {
    console.error("DB Connection Failed:", err);
    process.exit(1);
  }

dev-amolrakh

export const errorHandler = (err, req, res, next) => {
  console.error(err.stack);
  res.status(err.status || 500).json({
    success: false,
    message: err.message || "Server Error",
  });
};

dev-amolrakh

import rateLimit from "express-rate-limit";

export const limiter = rateLimit({
  windowMs: 15 * 60 * 1000,
  max: 100,
  message: "Too many requests, try again later.",
});

dev-amolrakh

import dotenv from "dotenv";
dotenv.config();

export const API_KEY = process.env.API_KEY;
export const DB_URL = process.env.MONGODB_URI;