deepanshumehtaa

import json
import socket

def parse_http_request(request):
    headers, _, body = request.partition("\r\n\r\n")
    request_line = headers.splitlines()[0]
    method, path, _ = request_line.split()
    return method, path, headers, body

server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

deepanshumehtaa

version: '3'
services:
  zookeeper:
    # image: confluentinc/cp-zookeeper:latest
    image: bitnami/zookeeper:3.9
    container_name: zookeeper
    ports:
      - "2181:2181"
    environment:
      ALLOW_ANONYMOUS_LOGIN: 1

deepanshumehtaa

# gunicorn -w 2 -k uvicorn.workers.UvicornWorker main:app --max-requests 100 --max-requests-jitter 10 --threads 5

# ..........................................................................................

import asyncio
import os
import logging
# from asyncio.log import logger
from time import sleep

deepanshumehtaa

permission issues:
> ls -l /var/run/docker.sock
> sudo chmod 666 /var/run/docker.sock

Create a Docker Image: (assuming you already have Dockerfile in ur folder)
> docker build -t <my-image-name> .


RUN .........................................
Run a built created image

deepanshumehtaa

what is the time duration of SSE for keep-alive connection ?

  The time duration of an SSE (Server-Sent Events) keep-alive connection can vary depending on several factors, including:
  Server configuration: The server can specify a keep-alive timeout using the Keep-Alive header or other configuration settings.
  Client configuration: The client can also specify a keep-alive timeout using the Keep-Alive header or other configuration settings.
  Network conditions: Network conditions, such as latency and packet loss, can affect the keep-alive timeout.
  Typically, the keep-alive timeout for SSE connections ranges from a few seconds to several minutes. Here are some common values:
    Default timeout: 30 seconds to 1 minute
    Typical timeout: 1-5 minutes
    Maximum timeout: 30 minutes to 1 hour

deepanshumehtaa

from enum import Enum


class Xyz(Enum):
    """Xyz._member_map_.values()"""
    A = 100
    B = 200

# Key: Pair of Enums
map = Xyz._member_map_

deepanshumehtaa

Vite is a fast and efficient WebD build tool to build and serve web apps
1. instant server start and fast code reloading make development a breeze.
2. PROD builds are optimized for performance, resulting in smaller bundle sizes and faster load times.
3. not work seamlessly with older browsers.
4. Hot Module Replacement (HMR) is a feature that allows developers to update and reload individual modules (e.g., JavaScript files) without requiring a full page reload. 
   This enables a faster and more efficient development experience.


Install Node (Linux)

deepanshumehtaa

package com.example.DemoApp.service;

import com.example.DemoApp.Dtos.BirdDTO;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.JsonMappingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.modelmapper.ModelMapper;
import org.springframework.web.util.UriComponentsBuilder;

import java.util.*;

deepanshumehtaa

import time
from functools import wraps

def timed_cache(expiration):
    cache = {}

    def decorator(func):
        @wraps(func)
        def wrapper(*args):
            now = time.time()

deepanshumehtaa

from db_connector import SQLHelper
import pandas as pd

chunk_size = 20  # Number of rows in chunks
chunks = []
file_name = 'customers-100.csv'


for chunk in pd.read_csv(file_name, chunksize=chunk_size, delimiter=","):
    df: pd.DataFrame = chunk