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Настройка рабочего процесса CodeQL для скомпилированных языков

Вы можете настроить, как GitHub использует Рабочий процесс анализа CodeQL для сканирования кода, написанного на скомпилированных языках, на наличие уязвимостей и ошибок.

Кто может использовать эту функцию

If you have write permissions to a repository, you can configure code scanning for that repository.

Code scanning доступен для всех общедоступных репозиториев в GitHub.com. Чтобы использовать code scanning в частном репозитории, принадлежащем организации, необходима лицензия на GitHub Advanced Security. Дополнительные сведения см. в разделе Сведения о GitHub Advanced Security.

About the CodeQL analysis workflow and compiled languages

For CodeQL code scanning, you can use the default setup, which analyzes your code and automatically configures your code scanning, or the advanced setup, which generates a workflow file you can edit. Currently, the default setup does not support any compiled languages, so you must use the advanced setup. For more information, see "Configuring code scanning for a repository."

Typically, you don't need to edit the generated workflow file for code scanning. However, if required, you can edit the workflow to customize some of the settings. For example, you can edit GitHub's CodeQL analysis workflow to specify the frequency of scans, the languages or directories to scan, and what CodeQL code scanning looks for in your code. You might also need to edit the CodeQL analysis workflow if you use a specific set of commands to compile your code. For general information about configuring code scanning and editing workflow files, see "Customizing code scanning" and "Learn GitHub Actions."

About autobuild for CodeQL

Code scanning works by running queries against one or more databases. Each database contains a representation of all of the code in a single language in your repository. For the compiled languages C/C++, C#, Go, Kotlin, and Java, the process of populating this database involves building the code and extracting data. For these languages, CodeQL analyzes the source files in your repository that are built. For any of these languages, you can disable autobuild and instead use custom build commands in order to analyze only the files that are built by these custom commands.

For the supported compiled languages, you can use the autobuild action in the CodeQL analysis workflow to build your code. This avoids you having to specify explicit build commands for C/C++, C#, Go, Kotlin, and Java.

If your workflow uses a language matrix, autobuild attempts to build each of the compiled languages listed in the matrix. Without a matrix autobuild attempts to build the supported compiled language that has the most source files in the repository. With the exception of Go, analysis of other compiled languages in your repository will fail unless you supply explicit build commands.

Note: If you use self-hosted runners for GitHub Actions, you may need to install additional software to use the autobuild process. Additionally, if your repository requires a specific version of a build tool, you may need to install it manually. For more information, see "About GitHub-hosted runners".

C/C++

Supported system typeSystem name
Operating systemWindows, macOS, and Linux
Build systemWindows: MSbuild and build scripts
Linux and macOS: Autoconf, Make, CMake, qmake, Meson, Waf, SCons, Linux Kbuild, and build scripts

The behavior of the autobuild step varies according to the operating system that the extraction runs on. On Windows, the autobuild step attempts to autodetect a suitable build method for C/C++ using the following approach:

  1. Invoke MSBuild.exe on the solution (.sln) or project (.vcxproj) file closest to the root. If autobuild detects multiple solution or project files at the same (shortest) depth from the top level directory, it will attempt to build all of them.
  2. Invoke a script that looks like a build script—build.bat, build.cmd, and build.exe (in that order).

On Linux and macOS, the autobuild step reviews the files present in the repository to determine the build system used:

  1. Look for a build system in the root directory.
  2. If none are found, search subdirectories for a unique directory with a build system for C/C++.
  3. Run an appropriate command to configure the system.

C#

Supported system typeSystem name
Operating systemWindows and Linux
Build system.NET and MSbuild, as well as build scripts

The autobuild process attempts to autodetect a suitable build method for C# using the following approach:

  1. Invoke dotnet build on the solution (.sln) or project (.csproj) file closest to the root.
  2. Invoke MSbuild (Linux) or MSBuild.exe (Windows) on the solution or project file closest to the root. If autobuild detects multiple solution or project files at the same (shortest) depth from the top level directory, it will attempt to build all of them.
  3. Invoke a script that looks like a build script—build and build.sh (in that order, for Linux) or build.bat, build.cmd, and build.exe (in that order, for Windows).

Go

Supported system typeSystem name
Operating systemWindows, macOS, and Linux
Build systemGo modules, dep and Glide, as well as build scripts including Makefiles and Ninja scripts

The autobuild process attempts to autodetect a suitable way to install the dependencies needed by a Go repository before extracting all .go files:

  1. Invoke make, ninja, ./build or ./build.sh (in that order) until one of these commands succeeds and a subsequent go list ./... also succeeds, indicating that the needed dependencies have been installed.
  2. If none of those commands succeeded, look for go.mod, Gopkg.toml or glide.yaml, and run go get (unless vendoring is in use), dep ensure -v or glide install respectively to try to install dependencies.
  3. Finally, if configurations files for these dependency managers are not found, rearrange the repository directory structure suitable for addition to GOPATH, and use go get to install dependencies. The directory structure reverts to normal after extraction completes.
  4. Extract all Go code in the repository, similar to running go build ./....

Java and Kotlin

Supported system typeSystem name
Operating systemWindows, macOS, and Linux (no restriction)
Build systemGradle, Maven and Ant

The autobuild process tries to determine the build system for Java codebases by applying this strategy:

  1. Search for a build file in the root directory. Check for Gradle then Maven then Ant build files.
  2. Run the first build file found. If both Gradle and Maven files are present, the Gradle file is used.
  3. Otherwise, search for build files in direct subdirectories of the root directory. If only one subdirectory contains build files, run the first file identified in that subdirectory (using the same preference as for 1). If more than one subdirectory contains build files, report an error.

Swift

Supported system typeSystem name
Operating systemmacOS
Build systemXcode

The autobuild process tries to build the biggest target from an Xcode project or workspace.

Adding build steps for a compiled language

If autobuild fails, or you want to analyze a different set of source files from those built by the autobuild process, you'll need to remove the autobuild step from the workflow, and manually add build steps. For C/C++, C#, Go, Kotlin, Java, and Swift projects, CodeQL will analyze whatever source code is built by your specified build steps. For information on how to edit the workflow file, see "Customizing code scanning."

After removing the autobuild step, uncomment the run step and add build commands that are suitable for your repository. The workflow run step runs command-line programs using the operating system's shell. You can modify these commands and add more commands to customize the build process.

- run: |
    make bootstrap
    make release

For more information about the run keyword, see "Workflow syntax for GitHub Actions."

If your repository contains multiple compiled languages, you can specify language-specific build commands. For example, if your repository contains C/C++, C# and Java, and autobuild correctly builds C/C++ and C# but fails to build Java, you could use the following configuration in your workflow, after the init step. This specifies build steps for Java while still using autobuild for C/C++ and C#:

- if: matrix.language == 'cpp' || matrix.language == 'csharp'
  name: Autobuild
  uses: github/codeql-action/autobuild@v2

- if: matrix.language == 'java'
  name: Build Java
  run: |
    make bootstrap
    make release

For more information about the if conditional, see "Workflow syntax for GitHub Actions."

For more tips and tricks about why autobuild won't build your code, see "Troubleshooting your advanced setup for CodeQL."

If you added manual build steps for compiled languages and code scanning is still not working on your repository, contact GitHub Support.

Considerations for building Swift

Notes:

  • CodeQL analysis for Swift is currently in beta. During the beta, analysis of Swift code, and the accompanying documentation, will not be as comprehensive as for other languages. Swift 5.8 is not yet supported.

  • Analysis may occasionally freeze, causing jobs to time out. To limit the number of Actions minutes used by jobs that are stuck or timing out, we recommend setting a timeout of four times your normal build time.

Code scanning of Swift code uses macOS runners by default. Since GitHub-hosted macOS runners are more expensive than Linux and Windows runners, we recommend that you build only the code that you want to analyze. For more information about pricing for GitHub-hosted runners, see "About billing for GitHub Actions."

xcodebuild and swift build are both supported for Swift builds. We recommend only targeting one architecture during the build. For example, ARCH=arm64 for xcodebuild, or --arch arm64 for swift build.

You can pass the archive and test options to xcodebuild. However, the standard xcodebuild command is recommended as it should be the fastest, and should be all that CodeQL requires for a successful scan.

For Swift analysis, you must always explicitly install dependencies managed via CocoaPods or Carthage before generating the CodeQL database.