Node.js 内置 fetch API 预览 has been discussed many times in the community, but as versions iterate, many conclusions need updating. This article revisits the topic based on the latest version.
Getting Started
Let's start with the basic implementation:
javascript
const express = require('express')
const app = express()
app.use(express.json())
class AppError extends Error {
constructor(status, message) {
super(message); this.statusCode = status
}
}
const asyncHandler = (fn) => (req, res, next) =>
Promise.resolve(fn(req, res, next)).catch(next)
app.get('/api/users/:id', asyncHandler(async (req, res) => {
const user = await User.findById(req.params.id)
if (!user) throw new AppError(404, '用户不存在')
res.json({ data: user })
}))
This code demonstrates the basic usage. In real projects, you also need to consider error handling and edge cases.
Source Code Analysis
Building on this foundation, we can further optimize:
javascript
const fs = require('fs')
const { Transform, pipeline } = require('stream')
const { promisify } = require('util')
const pipelineAsync = promisify(pipeline)
const csvToJson = new Transform({
transform(chunk, encoding, callback) {
const lines = chunk.toString().split('\n')
const headers = lines[0].split(',')
for (let i = 1; i < lines.length; i++) {
if (!lines[i].trim()) continue
const values = lines[i].split(',')
const obj = {}
headers.forEach((h, idx) => obj[h.trim()] = values[idx]?.trim())
this.push(JSON.stringify(obj) + '\n')
}
callback()
}
})
This pattern is very practical in large projects and can significantly reduce maintenance costs.
Real-World Applications
实际项目中的用法会更复杂一些:
javascript
const express = require('express')
const app = express()
app.use(express.json())
class AppError extends Error {
constructor(status, message) {
super(message); this.statusCode = status
}
}
const asyncHandler = (fn) => (req, res, next) =>
Promise.resolve(fn(req, res, next)).catch(next)
app.get('/api/users/:id', asyncHandler(async (req, res) => {
const user = await User.findById(req.params.id)
if (!user) throw new AppError(404, '用户不存在')
res.json({ data: user })
}))
Through this approach, both the testability and scalability of the code are improved.
Optimization Tips
Here is a complete example:
javascript
const fs = require('fs')
const { Transform, pipeline } = require('stream')
const { promisify } = require('util')
const pipelineAsync = promisify(pipeline)
const csvToJson = new Transform({
transform(chunk, encoding, callback) {
const lines = chunk.toString().split('\n')
const headers = lines[0].split(',')
for (let i = 1; i < lines.length; i++) {
if (!lines[i].trim()) continue
const values = lines[i].split(',')
const obj = {}
headers.forEach((h, idx) => obj[h.trim()] = values[idx]?.trim())
this.push(JSON.stringify(obj) + '\n')
}
callback()
}
})
Pay attention to boundary condition handling, which is critical in production.
Summary
- In team collaboration, conventions and documentation are more important than the technology itself
- Stay updated with the community; technical solutions need continuous iteration
- Don't adopt new technology just for the sake of it