Frontend log collection is something we use often in daily work. I've put together a systematic summary, hoping it helps everyone understand and apply it better.

Basic Concepts

The core code looks like this:

// 使用示例
import { createApp } from './app'

const config = {
  apiBase: process.env.API_BASE || '/api',
  timeout: 10000,
  retries: 3
}

const app = createApp(config)
app.mount('#root')

Be sure to handle edge cases and exceptions properly.

Core Implementation

We can implement it like this:

// 工具函数封装
function createHandler(options = {}) {
  const { timeout = 5000, retries = 3 } = options

  return async function execute(url, data) {
    for (let attempt = 0; attempt < retries; attempt++) {
      try {
        const controller = new AbortController()
        const timer = setTimeout(() => controller.abort(), timeout)
        const res = await fetch(url, {
          method: 'POST',
          body: JSON.stringify(data),
          signal: controller.signal
        })
        clearTimeout(timer)
        return await res.json()
      } catch (err) {
        if (attempt === retries - 1) throw err
      }
    }
  }
}

This pattern improves the maintainability of the code.

Practical Application

For concrete usage, refer to the following code:

// 核心实现
const processData = (input) => {
  return input
    .filter(item => item.active)
    .map(item => ({
      ...item,
      displayName: item.name.trim(),
      timestamp: Date.now()
    }))
    .sort((a, b) => b.timestamp - a.timestamp)
}

It's a good idea to standardize conventions across the team to reduce inconsistencies.

Best Practices

Let's look at the concrete implementation:

// 使用示例
import { createApp } from './app'

const config = {
  apiBase: process.env.API_BASE || '/api',
  timeout: 10000,
  retries: 3
}

const app = createApp(config)
app.mount('#root')

This implementation is concise and efficient, and fits most scenarios.

Common Issues

Here is a practical example:

// 工具函数封装
function createHandler(options = {}) {
  const { timeout = 5000, retries = 3 } = options

  return async function execute(url, data) {
    for (let attempt = 0; attempt < retries; attempt++) {
      try {
        const controller = new AbortController()
        const timer = setTimeout(() => controller.abort(), timeout)
        const res = await fetch(url, {
          method: 'POST',
          body: JSON.stringify(data),
          signal: controller.signal
        })
        clearTimeout(timer)
        return await res.json()
      } catch (err) {
        if (attempt === retries - 1) throw err
      }
    }
  }
}

In real projects, you'll need to adjust it according to specific requirements.

Summary

• Keep a consistent code style across the team to lower maintenance cost.
• Keep an eye on the community and update your tech choices in time.
• Performance optimization should be based on real data — avoid over-optimizing.
• The core of a frontend log collection solution lies in understanding the underlying principles, not just memorizing APIs.