php 多个二进制流图片/文件怎么处理
1.功能需求是这样的,手机端接口需要完成一个上传多个图片的接口,而webserver则需要接受该二进制流,生成图片,保存本地,并将地址保存数据库;
2.目前遇到了一个这样的问题:怎么样得到多个二进制流,并将多个二进制流转换成相应的图片保存到本地
3.以下是接收一个二进制流图片处理的方法:
//二进制数据流<br /> $file_data = file_get_contents ( 'php://input' ) ? file_get_contents ( 'php://input' ) : gzuncompress ( $GLOBALS ['HTTP_RAW_POST_DATA'] );<br /> //数据流不为空,则进行保存操作<br /> if (! empty ( $file_data )) {<br /> $save_name=md5(get_gmtime().mt_rand(10,99)).".jpg";<br /> $path=create_dir();<br /> //创建并写入数据流,然后保存文件<br /> if (@$fp = fopen ($path['file_path'].$save_name, 'w+' )) {<br /> fwrite ($fp, $file_data);<br /> fclose ($fp);<br /> if (file_exists($path['file_path'].$save_name)) {<br /> ajax_return(array('recode'=>"0000",'msg'=>"操作成功",'data'=>""));<br /> } else {<br /> ajax_return(array('recode'=>"9001",'msg'=>"仅支持jpg,png,jpeg,gif格式的图片类型上传,gif动态图片上传后不会有动态效果",'data'=>""));<br /> }<br /> } else {<br /> ajax_return(array('recode'=>"0001",'msg'=>"操作失败",'data'=>''));<br /> }<br /> } else {<br /> //没有接收到数据流<br /> ajax_return(array('recode'=>"0001",'msg'=>"请选择要上传的图片",'data'=>''));<br /> }

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP remains important in the modernization process because it supports a large number of websites and applications and adapts to development needs through frameworks. 1.PHP7 improves performance and introduces new features. 2. Modern frameworks such as Laravel, Symfony and CodeIgniter simplify development and improve code quality. 3. Performance optimization and best practices further improve application efficiency.

PHPhassignificantlyimpactedwebdevelopmentandextendsbeyondit.1)ItpowersmajorplatformslikeWordPressandexcelsindatabaseinteractions.2)PHP'sadaptabilityallowsittoscaleforlargeapplicationsusingframeworkslikeLaravel.3)Beyondweb,PHPisusedincommand-linescrip

PHP type prompts to improve code quality and readability. 1) Scalar type tips: Since PHP7.0, basic data types are allowed to be specified in function parameters, such as int, float, etc. 2) Return type prompt: Ensure the consistency of the function return value type. 3) Union type prompt: Since PHP8.0, multiple types are allowed to be specified in function parameters or return values. 4) Nullable type prompt: Allows to include null values and handle functions that may return null values.

In PHP, use the clone keyword to create a copy of the object and customize the cloning behavior through the \_\_clone magic method. 1. Use the clone keyword to make a shallow copy, cloning the object's properties but not the object's properties. 2. The \_\_clone method can deeply copy nested objects to avoid shallow copying problems. 3. Pay attention to avoid circular references and performance problems in cloning, and optimize cloning operations to improve efficiency.

PHP is suitable for web development and content management systems, and Python is suitable for data science, machine learning and automation scripts. 1.PHP performs well in building fast and scalable websites and applications and is commonly used in CMS such as WordPress. 2. Python has performed outstandingly in the fields of data science and machine learning, with rich libraries such as NumPy and TensorFlow.


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