


Why can't the HTML file selector accept attribute effectively filter CSV files?
HTML file upload control accept
attribute cannot effectively filter CSV files?
We often use it in web development<input type="file">
Elements allow users to select files to upload. accept
attribute is used to limit selectable file types, improve user experience and security. However, this property does not always work perfectly. This article analyzes the problem that accept
attribute cannot filter CSV files correctly and provides a solution.
Problem: The developer hopes to only allow uploading xls, xlsx and csv files, and uses the corresponding MIME type: application/vnd.ms-excel,application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,text/csv
. However, in actual tests, the xls and xlsx files are filtered normally, and the csv files are still available.
Code example (the original code example is missing, one is added here):
<input type="file" accept="application/vnd.ms-excel,application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,text/csv">
Causes and solutions:
The accept
attribute supports MIME type and file extension. Although the MIME type is more standardized, there are differences in browser support and parsing of MIME types, and some browsers may not be strict enough in identifying text/csv
. To ensure cross-browser compatibility, it is recommended to use both MIME types and extensions.
Solution: Add .csv
extension in the accept
property:
<input type="file" accept=".xls,.xlsx,.csv,application/vnd.ms-excel,application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,text/csv">
By adding .csv
, the browser can more accurately identify and filter csv files, solve compatibility issues, and provide more reliable upload restrictions.
The above is the detailed content of Why can't the HTML file selector accept attribute effectively filter CSV files?. For more information, please follow other related articles on the PHP Chinese website!

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

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

This article will explain how to improve website performance by analyzing Apache logs under the Debian system. 1. Log Analysis Basics Apache log records the detailed information of all HTTP requests, including IP address, timestamp, request URL, HTTP method and response code. In Debian systems, these logs are usually located in the /var/log/apache2/access.log and /var/log/apache2/error.log directories. Understanding the log structure is the first step in effective analysis. 2. Log analysis tool You can use a variety of tools to analyze Apache logs: Command line tools: grep, awk, sed and other command line tools.

Apache server is a powerful web server software that acts as a bridge between browsers and website servers. 1. It handles HTTP requests and returns web page content based on requests; 2. Modular design allows extended functions, such as support for SSL encryption and dynamic web pages; 3. Configuration files (such as virtual host configurations) need to be carefully set to avoid security vulnerabilities, and optimize performance parameters, such as thread count and timeout time, in order to build high-performance and secure web applications.

When developing websites using CraftCMS, you often encounter resource file caching problems, especially when you frequently update CSS and JavaScript files, old versions of files may still be cached by the browser, causing users to not see the latest changes in time. This problem not only affects the user experience, but also increases the difficulty of development and debugging. Recently, I encountered similar troubles in my project, and after some exploration, I found the plugin wiejeben/craft-laravel-mix, which perfectly solved my caching problem.

The Installation, Configuration and Optimization Guide for HDFS File System under CentOS System This article will guide you how to install, configure and optimize Hadoop Distributed File System (HDFS) on CentOS System. HDFS installation and configuration Java environment installation: First, make sure that the appropriate Java environment is installed. Edit /etc/profile file, add the following, and replace /usr/lib/java-1.8.0/jdk1.8.0_144 with your actual Java installation path: exportJAVA_HOME=/usr/lib/java-1.8.0/jdk1.8.0_144exportPATH=$J

To view the thread status in the Tomcat log, you can use the following methods: TomcatManagerWeb interface: Enter the management address of Tomcat (usually http://localhost:8080/manager) in the browser, and you can view the status of the thread pool after logging in. JMX Monitoring: Use JMX monitoring tools (such as JConsole) to connect to Tomcat's MBean server to view the status of Tomcat's thread pool. Select in JConsole

Nginx performance monitoring and troubleshooting are mainly carried out through the following steps: 1. Use nginx-V to view version information, and enable the stub_status module to monitor the number of active connections, requests and cache hit rate; 2. Use top command to monitor system resource occupation, iostat and vmstat monitor disk I/O and memory usage respectively; 3. Use tcpdump to capture packets to analyze network traffic and troubleshoot network connection problems; 4. Properly configure the number of worker processes to avoid insufficient concurrent processing capabilities or excessive process context switching overhead; 5. Correctly configure Nginx cache to avoid improper cache size settings; 6. By analyzing Nginx logs, such as using awk and grep commands or ELK

This article describes how to analyze Nginx logs to improve website performance and user experience. 1. Understand the Nginx log format, such as timestamps, IP addresses, status codes, etc.; 2. Use tools such as awk to parse logs and count indicators such as visits, error rates, etc.; 3. Write more complex scripts according to needs or use more advanced tools, such as goaccess, to analyze data from different dimensions; 4. For massive logs, consider using distributed frameworks such as Hadoop or Spark. By analyzing logs, you can identify website access patterns, improve content strategies, and ultimately optimize website performance and user experience.

There are many ways to monitor the status of HDFS (Hadoop Distributed File System) on CentOS systems. This article will introduce several commonly used methods to help you choose the most suitable solution. 1. Use Hadoop’s own WebUI, Hadoop’s own Web interface to provide cluster status monitoring function. Steps: Make sure the Hadoop cluster is up and running. Access the WebUI: Enter http://:50070 (Hadoop2.x) or http://:9870 (Hadoop3.x) in your browser. The default username and password are usually hdfs/hdfs. 2. Command line tool monitoring Hadoop provides a series of command line tools to facilitate monitoring
