Logging HTTP Responses Using Go
Logging requests in Go is straightforward with packages like Gorilla's mux and handler. However, logging responses can be trickier. This article explores how to accomplish this.
Using a Custom Logging Handler
One solution is to create a custom logging handler that wraps an HTTP handler function. Eric Broda's code below provides an initial framework:
func logHandler(fn http.HandlerFunc) http.HandlerFunc { return func(w http.ResponseWriter, r *http.Request) { x, err := httputil.DumpRequest(r, true) if err != nil { http.Error(w, fmt.Sprint(err), http.StatusInternalServerError) return } log.Println(fmt.Sprintf("%q", x)) } }
Modifying the Response
To actually send the response to the client, a modification to the code is needed:
func logHandler(fn http.HandlerFunc) http.HandlerFunc { return func(w http.ResponseWriter, r *http.Request) { x, err := httputil.DumpRequest(r, true) if err != nil { http.Error(w, fmt.Sprint(err), http.StatusInternalServerError) return } log.Println(fmt.Sprintf("%q", x)) rec := httptest.NewRecorder() fn(rec, r) log.Println(fmt.Sprintf("%q", rec.Body)) // this copies the recorded response to the response writer for k, v := range rec.HeaderMap { w.Header()[k] = v } w.WriteHeader(rec.Code) rec.Body.WriteTo(w) } }
This modified code wraps the handler function and logs both the request and the response body. By placing this logging handler in the middleware stack, you can easily log responses throughout your application.
The above is the detailed content of How Can I Effectively Log HTTP Responses in Go?. For more information, please follow other related articles on the PHP Chinese website!

Go's "strings" package provides rich features to make string operation efficient and simple. 1) Use strings.Contains() to check substrings. 2) strings.Split() can be used to parse data, but it should be used with caution to avoid performance problems. 3) strings.Join() is suitable for formatting strings, but for small datasets, looping = is more efficient. 4) For large strings, it is more efficient to build strings using strings.Builder.

Go uses the "strings" package for string operations. 1) Use strings.Join function to splice strings. 2) Use the strings.Contains function to find substrings. 3) Use the strings.Replace function to replace strings. These functions are efficient and easy to use and are suitable for various string processing tasks.

ThebytespackageinGoisessentialforefficientbyteslicemanipulation,offeringfunctionslikeContains,Index,andReplaceforsearchingandmodifyingbinarydata.Itenhancesperformanceandcodereadability,makingitavitaltoolforhandlingbinarydata,networkprotocols,andfileI

Go uses the "encoding/binary" package for binary encoding and decoding. 1) This package provides binary.Write and binary.Read functions for writing and reading data. 2) Pay attention to choosing the correct endian (such as BigEndian or LittleEndian). 3) Data alignment and error handling are also key to ensure the correctness and performance of the data.

The"bytes"packageinGooffersefficientfunctionsformanipulatingbyteslices.1)Usebytes.Joinforconcatenatingslices,2)bytes.Bufferforincrementalwriting,3)bytes.Indexorbytes.IndexByteforsearching,4)bytes.Readerforreadinginchunks,and5)bytes.SplitNor

Theencoding/binarypackageinGoiseffectiveforoptimizingbinaryoperationsduetoitssupportforendiannessandefficientdatahandling.Toenhanceperformance:1)Usebinary.NativeEndianfornativeendiannesstoavoidbyteswapping.2)BatchReadandWriteoperationstoreduceI/Oover

Go's bytes package is mainly used to efficiently process byte slices. 1) Using bytes.Buffer can efficiently perform string splicing to avoid unnecessary memory allocation. 2) The bytes.Equal function is used to quickly compare byte slices. 3) The bytes.Index, bytes.Split and bytes.ReplaceAll functions can be used to search and manipulate byte slices, but performance issues need to be paid attention to.

The byte package provides a variety of functions to efficiently process byte slices. 1) Use bytes.Contains to check the byte sequence. 2) Use bytes.Split to split byte slices. 3) Replace the byte sequence bytes.Replace. 4) Use bytes.Join to connect multiple byte slices. 5) Use bytes.Buffer to build data. 6) Combined bytes.Map for error processing and data verification.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Dreamweaver Mac version
Visual web development tools

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

SublimeText3 Chinese version
Chinese version, very easy to use

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software
