# 使用 MAVSDK 进行集成测试

可以使用基于 MAVSDK (opens new window) 的集成测试对 PX4 进行端到端测试。

目前主要针对 SITL 开发测试，并在持续集成（CI）中运行。但是，它们最终旨在推广到实际测试。

测试需要将MAVSAK C++库安装到系统目录（如： /usr/lib or /usr/local/lib）

# 安装 MAVSDK C++ 库

# 运行所有PX4测试

二进行安装或源码安装：

Install the development toolchain for Linux or macOS (Windows not supported). Gazebo Classic is required, and should be installed by default.

git clone https://github.com/PX4/PX4-Autopilot.git --recursive
cd PX4-Autopilot

# Build PX4 for Testing

使用以下命令构建 PX4 源码：

DONT_RUN=1 make px4_sitl gazebo-classic mavsdk_tests

# Install the MAVSDK C++ Library

运行 sitl.json (opens new window) 中定义的所有SITL测试，执行：

要看所有可用的命令行参数，运行：

MAVSDK > C++ > C++ QuickStart (opens new window): Install as a prebuilt library on supported platforms (recommended)
MAVSDK > C++ Guide > Building from Source (opens new window): Build C++ library from source.

# 准备 PX4 源码

To run all SITL tests as defined in sitl.json (opens new window), do:

test/mavsdk_tests/mavsdk_test_runner.py test/mavsdk_tests/configs/sitl.json --speed-factor 10

This will list all of the tests and then run them sequentially.

To see all possible command line arguments use the -h argument:

test/mavsdk_tests/mavsdk_test_runner.py -h

用法：mavsdk_test_runner。 y [-h] [--log-dir LOG_DIR] [--speed-factor SPEED_FACTOR] [--trerations ITERATION] [--abort-early] [--gui] [--model MODEL]
                             [--case CASE] [--debugger DEBUGER] [--verbose]
                             config_file

posital 参数：
  config_file JSON 使用的JSON配置文件

optional 参数：
  -h, --help 显示此帮助信息并退出
  --log-dir LOG_DIR 日志文件目录
  --speed-factor SPEED_FACTOR
                        模拟运行的速度因子
  --迭代ITERATION
                        在首次失败的测试中运行所有测试的频率
  --abort-early 中止
  --guide 显示模拟的可视化化
  MODEL 只为一个模型运行测试
  --case CASE 只运行测试一个案例
  --debugger DEBUGER 调试器：callgrind, gdb, lldb
  --verbose 启用更详细的输出

# 关于实现的说明

Run a single test by specifying the model and test case as command line options. For example, to test flying a tailsitter in a mission you might run:

test/mavsdk_tests/mavsdk_test_runner.py test/mavsdk_tests/configs/sitl.json --speed-factor 10 --model tailsitter --case 'Fly VTOL mission'

The easiest way to find out the current set of models and their associated test cases is to run all PX4 tests as shown above (note, you can then cancel the build if you wish to test just one).

At time of writing the list generated by running all tests is:

About to run 39 test cases for 3 selected models (1 iteration):
  - iris:
    - 'Land on GPS lost during mission (baro height mode)'
    - 'Land on GPS lost during mission (GPS height mode)'
    - 'Continue on mag lost during mission'
    - 'Continue on baro lost during mission (baro height mode)'
    - 'Continue on baro lost during mission (GPS height mode)'
    - 'Continue on baro stuck during mission (baro height mode)'
    - 'Continue on baro stuck during mission (GPS height mode)'
    - 'Takeoff and Land'
    - 'Fly square Multicopter Missions including RTL'
    - 'Fly square Multicopter Missions with manual RTL'
    - 'Fly straight Multicopter Mission'
    - 'Offboard takeoff and land'
    - 'Offboard position control'
    - 'Fly forward in position control'
    - 'Fly forward in altitude control'
  - standard_vtol:
    - 'Land on GPS lost during mission (baro height mode)'
    - 'Land on GPS lost during mission (GPS height mode)'
    - 'Continue on mag lost during mission'
    - 'Continue on baro lost during mission (baro height mode)'
    - 'Continue on baro lost during mission (GPS height mode)'
    - 'Continue on baro stuck during mission (baro height mode)'
    - 'Continue on baro stuck during mission (GPS height mode)'
    - 'Takeoff and Land'
    - 'Fly square Multicopter Missions including RTL'
    - 'Fly square Multicopter Missions with manual RTL'
    - 'Fly forward in position control'
    - 'Fly forward in altitude control'
  - tailsitter:
    - 'Land on GPS lost during mission (baro height mode)'
    - 'Land on GPS lost during mission (GPS height mode)'
    - 'Continue on mag lost during mission'
    - 'Continue on baro lost during mission (baro height mode)'
    - 'Continue on baro lost during mission (GPS height mode)'
    - 'Continue on baro stuck during mission (baro height mode)'
    - 'Continue on baro stuck during mission (GPS height mode)'
    - 'Takeoff and Land'
    - 'Fly square Multicopter Missions including RTL'
    - 'Fly square Multicopter Missions with manual RTL'
    - 'Fly forward in position control'
    - 'Fly forward in altitude control'

# Notes on implementation

The tests are invoked from the test runner script mavsdk_test_runner.py (opens new window), which is written in Python.

In addition to MAVSDK, this runner starts px4 as well as Gazebo for SITL tests, and collects the logs of these processes.
The test runner is a C++ binary that contains:
- The main (opens new window) function to parse the arguments.
- An abstraction around MAVSDK called autopilot_tester (opens new window).
- The actual tests using the abstraction around MAVSDK as e.g. test_multicopter_mission.cpp (opens new window).
- The tests use the catch2 (opens new window) unit testing framework. The reasons for using this framework are:
  - Asserts (REQUIRE) which are needed to abort a test can be inside of functions (and not just in the top level test as is the case with gtest (opens new window)).
  - Dependency management is easier because catch2 can just be included as a header-only library.
  - Catch2 supports tags (opens new window), which allows for flexible composition of tests.

Terms used:

"model": This is the selected Gazebo model, e.g. iris.
"test case": This is a catch2 test case (opens new window).

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