package metrics
import "time"
type bucket struct {
start time.Time
from sqlalchemy import select
from sqlalchemy.orm import Session
from .models import User
BATCH_SIZE = 1000
package com.example.notifications;
import org.springframework.stereotype.Component;
import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
import java.io.IOException;
package export
import (
"encoding/csv"
"log"
"net/http"
const { EventEmitter } = require('events');
const HIGH_WATER_MARK = 1 << 20; // 1 MiB of buffered bytes per client
class SseHub extends EventEmitter {
constructor() {
#[derive(Debug, Clone, Copy)]
pub struct ByteRange {
pub start: u64,
pub end: u64, // inclusive
}
use base64::{engine::general_purpose::URL_SAFE_NO_PAD, Engine};
use serde::{Deserialize, Serialize};
use time::OffsetDateTime;
use uuid::Uuid;
#[derive(Debug, Clone, Serialize, Deserialize)]
<?php
namespace App\Http\Controllers;
use App\Jobs\ImportProductChunk;
use Illuminate\Http\Request;
import { Readable } from "node:stream";
import { S3Client } from "@aws-sdk/client-s3";
import { Upload } from "@aws-sdk/lib-storage";
const s3 = new S3Client({ region: process.env.AWS_REGION });
const BUCKET = process.env.UPLOAD_BUCKET!;
import { z } from "zod";
export const rowSchema = z.object({
email: z.string().email(),
name: z.string().min(1, "name is required"),
age: z.coerce.number().int().min(0, "age must be >= 0"),
@RestController
@RequestMapping("/api/customers")
public class CsvImportController {
private final CsvImportService importService;
<?php
namespace App\Http\Controllers;
use App\Models\Order;
use App\Services\InvoicePdfService;