利用java的反射解析Properties文件转成对象
/**
* 解析properties文件为对象
* @param
* @param propPath
* @param cls
* @return
* @throws InstantiationException
* @throws IllegalAccessException
* @throws IOException
*/
public static T paseObject(String propPath, Class cls)
throws InstantiationException, IllegalAccessException, IOException {
Properties prop = getConfigProperties(propPath);
T obj = cls.newInstance();
Field[] fList = obj.getClass().getDeclaredFields();
for (Field field : fList) {
String value = prop.getProperty(field.getName());
String typeName = field.getType().getTypeName();
System.out.println(value);
System.out.println(typeName);
if (value != null) {
value = value.trim();
if(typeName.equals("java.lang.String")) {
field.set(obj, value);
}else if(typeName.equals("int")) {
field.setInt(obj, Integer.parseInt(value));
}else if(typeName.equals("float")) {
field.setFloat(obj, Float.parseFloat(value));
}else if(typeName.equals("double")) {
field.setDouble(obj, Double.parseDouble(value));
}else if(typeName.equals("long")) {
field.setLong(obj, Long.parseLong(value));
}else if(typeName.equals("boolean")) {
field.setBoolean(obj, Boolean.parseBoolean(value));
}else if(typeName.equals("byte")) {
field.setByte(obj, Byte.parseByte(value));
}else if(typeName.equals("short")) {
field.setShort(obj, Short.parseShort(value));
}
}
}
return obj;
}
2021-09-13 14:31:54
1KB
1
VS2013-Debug-x64
【环境变量】 ->【系统变量】->【path】
D:\Setup\OpenCV\opencv310\install\x64\vc12\bin
【属性管理器】->【Debug|x64】->【通用属性】->【VC++目录】->【包含目录】
D:\Setup\OpenCV\opencv310\install\include
D:\Setup\OpenCV\opencv310\install\include\opencv
D:\Setup\OpenCV\opencv310\install\include\opencv2
【属性管理器】->【Debug|x64】->【通用属性】->【VC++目录】->【库目录】
D:\Setup\OpenCV\opencv310\install\x64\vc12\lib
D:\Setup\OpenCV\opencv310\install\x64\vc12\staticlib
【属性管理器】->【Debug|x64】->【链接器】->【输入】->【附加依赖项】
opencv_aruco310d.lib
opencv_bgsegm310d.lib
opencv_calib3d310d.lib
opencv_ccalib310d.lib
opencv_core310d.lib
opencv_datasets310d.lib
opencv_dnn310d.lib
opencv_dpm310d.lib
opencv_face310d.lib
opencv_features2d310d.lib
opencv_flann310d.lib
opencv_fuzzy310d.lib
opencv_highgui310d.lib
opencv_imgcodecs310d.lib
opencv_imgproc310d.lib
opencv_line_descriptor310d.lib
opencv_ml310d.lib
opencv_objdetect310d.lib
opencv_optflow310d.lib
opencv_photo310d.lib
opencv_plot310d.lib
opencv_reg310d.lib
opencv_rgbd310d.lib
opencv_saliency310d.lib
opencv_shape310d.lib
opencv_stereo310d.lib
opencv_stitching310d.lib
opencv_structured_light310d.lib
opencv_superres310d.lib
opencv_surface_matching310d.lib
opencv_text310d.lib
opencv_tracking310d.lib
opencv_ts310d.lib
opencv_video310d.lib
opencv_videoio310d.lib
opencv_videostab310d.lib
opencv_xfeatures2d310d.lib
opencv_ximgproc310d.lib
opencv_xobjdetect310d.lib
opencv_xphoto310d.lib
ippicvmt.lib
opencv_aruco310.lib
opencv_bgsegm310.lib
opencv_calib3d310.lib
opencv_ccalib310.lib
opencv_core310.lib
opencv_datasets310.lib
opencv_dnn310.lib
opencv_dpm310.lib
opencv_face310.lib
opencv_features2d310.lib
opencv_flann310.lib
opencv_fuzzy310.lib
opencv_highgui310.lib
opencv_imgcodecs310.lib
opencv_imgproc310.lib
opencv_line_descriptor310.lib
opencv_ml310.lib
opencv_objdetect310.lib
opencv_optflow310.lib
opencv_photo310.lib
opencv_plot310.lib
opencv_reg310.lib
opencv_rgbd310.lib
opencv_saliency310.lib
opencv_s
2021-09-10 23:18:54
53.17MB
1
c++读取XML配置文件C++中并没有操作XML文件的标准库，因此大家需要使用各自熟悉的XML库来解决XML文件的读取与写入。XML的一个重要用途是作为程序的配置文件，存储程序运行相关的各种数据。本文总结了使用libxml2库来对XML配置文件进行编程的一些经验。最后提供了一个封装好的类CXMLConfig，并详细说明了该类的功能、使用方法和注意事项。
2021-09-10 21:12:37
1.5MB
1
完整英文电子版 ANSI/ISA-95.00.08-2020 Enterprise-Control System Integration − Part 8：Information Exchange Profiles （企业控制系统集成 - 第 8 部分：信息交换配置文件）。本 ISA-95 第 8 部分标准指定了一种方法，用于为 ISA-95 模型的特定实现组定义信息交换配置文件。 信息交换配置文件指定了在第 4 级和第 3 级之间或第 3 级活动之间的接口上交换的对象模型。 信息交换配置文件指定了用于 ISA-95 实现的动词和名词。信息交换配置文件定义了 ISA-95 为实现定义的模型的扩展和约束。定义级别 2 和级别 4 内的消息交换不属于 范围，尽管可能需要包括这些消息交换的细节以完整描述 ISA-95 的实现。
2021-09-10 14:05:35
849KB
今天小编就为大家分享一篇python操作cfg配置文件方式，具有很好的参考价值，希望对大家有所帮助。一起跟随小编过来看看吧
2021-09-10 09:15:57
38KB
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