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How to parse INI files for Boost PropertyTree

2025-04-14 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >

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Boost PropertyTree how to parse INI files, many novices are not very clear about this, in order to help you solve this problem, the following editor will explain in detail for you, people with this need can come to learn, I hope you can gain something.

Preface

PropertyTree is a very awesome thing! Although very small, but, quite necessary, very important! Because, a lot of things, we do not need to develop, just need to use, the development of this thing is excellent!

More importantly, it comes from the famous Boost library, and the importance of this library is self-evident!

Property_tree is a tree data structure that holds multiple attributes!

You can ask the attributes of any node in a way similar to the access path, and each node can traverse the child nodes in a STL-like style.

Property_tree is suitable for application configuration data processing, and can parse text data in xml, ini, json and info formats.

It is simply the best way to read the profile library!

What is property_tree?

The property tree library provides a data structure that stores arbitrarily deeply nested value trees and indexes at each level with a number of keys. Each node of the tree stores its own values, as well as an ordered list of its children and their keys. The tree allows easy access to any node through a path, which is the storage of multiple keys

In addition, the library provides parsers and generators for many data formats that can be represented by such trees, including XML, INI, and JSON

Property tree is a general data structure, but it is especially suitable for saving configuration data. The tree provides its own tree-specific interface, and each node is also a stl-compatible sequence of its child nodes. [to put it bluntly, this is a self-nested data structure]

Conceptually, nodes can be thought of as the following structures:

Struct ptree {data_type data;// data associated with the nodelist

< pair>

Children;// ordered list of named children}

As you can see, this is a self-nested data structure!

Both key_type and data_type are configurable to some extent, but they are usually std::string or std::wstring, and the parser only deals with this kind of tree.

Many software projects develop similar tools at some point in their lifecycle, and property trees are generated in the same way. We hope lib will save a lot of people from reinventing the wheel.

The implementation code # include # include using namespace std;using namespace boost;// writes to the file void init_ini (const std::string & filename) {using boost::property_tree::ptree; ptree pt; / / adds a new key pair pt.add ("config.address", "192.168.1.1"); pt.add ("config.port", 22) / / modify the original key value pair pt.put ("config.port", 3389); write_ini (filename, pt);} int main (int argc, char * argv []) {std::string f ("c://config.ini"); init_ini (f); / / read ini file boost::property_tree::ptree ptr, tag Boost::property_tree::ini_parser::read_ini ("c://config.ini", ptr); tag = ptr.get_child ("config"); std::string address = tag.get ("address"); int port = tag.get ("port"); std::cout

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