C++ Treasure Box is a service-oriented development framework and component library based on the Reactor model, aim at make C++ development easy.
- Intelligent hardware, such as: robots (sweepers, commercial service robots), IPC, drones, vehicles, etc.;
- Edge computing components, such as: smart home gateway, IOT edge gateway, etc.;
- Service, such as: SOCK5, Middleware.
See projects:
- cpp-socks5, learn how to use TCP and how to organize the project;
- protocal-adapter, learn how to use TCP, UDP, MQTT, UART;
- cpp-tbox-for-ros, learn how to how to integrate into the ROS 2 development environment, and how to use
rclcpp;
See the Node.js Reactor pattern.
The main thread handles non-blocking IO events in Reactor mode, and cooperates with ThreadPool to perform large calculations and blocking operations.
This mode avoids the annoyance of competing locking in multi-thread mode, and the program is stable and reliable.
All non-business-related work is handled using the built-in main framework. You don't need to care about such trivial things as how to output the log, how to parse the parameters, how to exit the program, and how to write the main function. The main frame is all handled for you.
You only need to derive the tbox::main::Module class, fill in the business code, and then register to the framework.
You can interact with the running service through telnet, make it print internal data, or perform specific actions. This greatly reduces the difficulty of debugging.
1) There are three log sink: stdout + filelog + syslog
- stdout，Output the log to the terminal via
std::cout; - syslog，Output logs to syslog via
syslog(); - filelog，Write the log to the specified directory, in the format:
<PRIFIX>.YYMMDD_HHMMSS.<PID>.log. If the file size exceeds 1M, a new log file will be created. Due to the low efficiency of writing files, the output channel adopts the front-end and back-end modes.
One or more of the three sink can be selected in the startup parameters, and can also be changed through the terminal during operation.
2) Different level different color
The log content includes: level, time (accurate to microseconds), thread number, module name, function name, text, file name, line number.
It is convenient and quick to locate the problem.
As shown in the figure above, different log levels are clearly distinguished by colors. In particular, for anomalies, red and yellow are used together with highlighting, making them very eye-catching.
3) Flexible log output filter
The log level can be set separately for different modules when the program is running, as follows:
Parameters are provided in JSON format, and any format of running parameters can be passed in, including: integers, decimals, strings, arrays, and combination parameters, meeting almost all parameter passing requirements:
You can use -c your_cfg_file.json to import a configuration file in JSON format at execution time. At the same time, you can also use -s 'xx.yy.zz=vvv' to specify parameters temporarily.
The configuration file in JSON format also supports the include command to include other configuration files when loading.
The child thread entrusts the main thread to execute:
The main thread entrusts the child thread to execute:
When receiving signals: SIGINT, SIGTERM, SIGQUIT, SIGPWR, it will execute the exit process in an orderly manner and release resources. Do a clean exit.
This is crucial for ensuring program integrity and conducting memory analysis.
When various program exceptions occur in the program, such as: segment fault, assertion, bus error, exception not caught, etc., the framework will capture and print the complete call stack in the log system. Facing program crashes, no longer look blank. The effect is as follows:
With this mechanism in place, analyzing program crash issues of online devices becomes very simple, and there is basically no need to use gdb to analyze coredumps.
The trace module can record the time and duration of each execution of the marked function, and can export the icicle diagram for display:
It is a great tool for performance analysis and event blocking problem troubleshooting.
It abandons the cumbersome inheritance and derivation of the traditional state mode, and uses it directly in a combined way, which is simple and convenient. It can also export the state machine diagram to achieve what you see is what you get:
It contains an event-driven behavior tree that can realize sequential, branching, and cyclic action processes in an asynchronous environment, and can export a visual tree diagram in real time:
- Linux series operating system;
- C++11 or above.
sudo apt update
sudo apt install build-essential
sudo apt install libgtest-dev libgmock-dev
sudo apt install libmosquitto-dev
sudo apt install libdbus-1-dev
git clone https://gitee.com/cpp-master/cpp-tbox.git
cd cpp-tbox
make 3rd-party modules RELEASE=1
After completion, the header files and library files are in the .staging directory.
Of course, you can also specify the generation path of header files and library files by specifying STAGING_DIR.
like:
make 3rd-party modules RELEASE=1 STAGING_DIR=$HOME/.tbox
After completion, the header files and library files are in the $HOME/.tbox path.
cmake -B build
cmake --build build
cmake --install build
Customize the installation directory by specifying CMAKE_INSTALL_PREFIX (installed in /usr/local by default):
cmake -B build -DCMAKE_INSTALL_PREFIX=$HOME/.tbox
For details on how to use cpp-tbox to develop your own programs, see the tutorial:
cpp-tbox-tutorials
For module usage documentation, see: Module Documentation
For example to use find_package:
cmake_minimum_required(VERSION 3.10)
project(tbox-find_package)
find_package(tbox COMPONENTS base util alarm event eventx)
add_executable(demo main.cpp)
target_link_libraries(demo PRIVATE tbox::tbox_base tbox::tbox_util tbox::tbox_alarm tbox::tbox_event tbox::tbox_eventx)
Open the config.mk file, you don’t need to block the modules corresponding to app_y += xxx, but pay attention to the dependencies between modules.
MIT, Free for use.
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