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Running PVS-Studio in Docker
Analyzer diagnostics
General Analysis (C++)
General Analysis (C#)
General Analysis (Java)
Diagnosis of micro-optimizations (C++)
Diagnosis of 64-bit errors (Viva64, C++)
Customer specific requests (C++)
MISRA errors
AUTOSAR errors
OWASP errors (C#)
Problems related to code analyzer
Additional information
Contents

Running PVS-Studio in Docker

15 Jul 2019

Docker is a software for automating deployment and management of applications in environments that support OS-level virtualization (containers). Docker can "pack" an application with its entire environment and dependencies into a container, that can then be deployed at any system with Docker installation.

Below you can read about: 

  • ways to get Docker images with the latest version of PVS-Studio for various OS and programming languages; 
  • examples of running analysis in a container; 
  • ways to configure the analyzer. 

Linux Docker images for projects in C and C++

Creating an image

You can use Dockerfile to build an image with the latest version of PVS-Studio included.

On debian-based systems:

FROM gcc:7

# INSTALL DEPENDENCIES
RUN apt update -yq \
 && apt install -yq --no-install-recommends wget \
 && apt clean -yq

# INSTALL PVS-Studio
RUN wget -q -O - https://files.pvs-studio.com/etc/pubkey.txt | apt-key add - \
 && wget -O /etc/apt/sources.list.d/viva64.list \
    https://files.pvs-studio.com/etc/viva64.list \
 && apt update -yq \
 && apt install -yq pvs-studio strace \
 && pvs-studio --version \
 && apt clean -yq

On zypper-based systems:

FROM opensuse:42.3

# INSTALL DEPENDENCIES
RUN zypper update -y \
 && zypper install -y --no-recommends wget \
 && zypper clean --all

# INSTALL PVS-Studio
RUN wget -q -O /tmp/viva64.key https://files.pvs-studio.com/etc/pubkey.txt \
 && rpm --import /tmp/viva64.key \
 && zypper ar -f https://files.pvs-studio.com/rpm viva64 \
 && zypper update -y \
 && zypper install -y --no-recommends pvs-studio strace \
 && pvs-studio --version \
 && zypper clean -all

On yum-based systems:

FROM centos:7

# INSTALL DEPENDENCIES
RUN yum update -y -q \
 && yum install -y -q wget \
 && yum clean all -y -q

# INSTALL PVS-Studio
RUN wget -q -O /etc/yum.repos.d/viva64.repo \
 https://files.pvs-studio.com/etc/viva64.repo \
 && yum install -y -q pvs-studio strace \
 && pvs-studio --version \
 && yum clean all -y -q

Note. PVS-Studio for Linux also can be acquired using following permalinks:

https://files.pvs-studio.com/pvs-studio-latest.deb

https://files.pvs-studio.com/pvs-studio-latest.tgz

https://files.pvs-studio.com/pvs-studio-latest.rpm

Command to build an image:

docker build -t viva64/pvs-studio:7.20 -f Dockerfile

Note. A base image and dependencies must be changed according to the target project.

Running a container

To start the analysis, for example, of a CMake-based project, execute the following command:

docker run --rm -v "~/Project":"/mnt/Project" \
           -w "/mnt/Project" viva64/pvs-studio:7.20 \
           sh -c 'mkdir build && cd build &&
                  cmake -DCMAKE_EXPORT_COMPILE_COMMANDS=On .. && make -j8 &&
                  pvs-studio-analyzer analyze ... -o report.log -j8 ...'

It is recommended that you run the converter of analyzer-generated reports (plog-converter) outside the container to ensure that reports contain correct paths to the source files. The only report type that you may want to generate inside the container is fullhtml (an HTML report file that supports message sorting and code navigation). To have other report types generated, you will need to additionally configure the analyzer.

When checking non-CMake projects in a container using the compiler call tracing mode, you may get this error:

strace: ptrace(PTRACE_TRACEME, ...): Operation not permitted
Error: Command strace returned 1 code.

To eliminate this error, run Docker with extended privileges by executing this command:

docker run ... --security-opt seccomp:unconfined ...

or like this:

docker run ... --cap-add SYS_PTRACE ...

Configuring the analyzer

Specifying the license file

Since a container's lifetime is limited, the analyzer license file should be committed into the image or specified by mounting the directory containing that file and specifying the path to it:

pvs-studio-analyzer analyze ... -l /path/to/PVS-Studio.lic ...

Restoring paths to source files in the report

To get a report with correct paths to the source files, specify the path to the project directory first:

pvs-studio-analyzer analyze ... -r /path/to/project/in/container ...

After that, run the report converter outside the container.

On Linux or macOS:

plog-converter ... -r /path/to/project/on/host ...

On Windows:

PlogConverter.exe ... -r /path/to/project/on/host

On Windows, you can also use the Compiler Monitoring UI utility to open the report file without converting it.

Excluding directories from analysis

You can exclude the compiler directory or directories with third-party libraries or tests by adding the -e parameter:

pvs-studio-analyzer analyze ... -e /path/to/tests ... -e /path/to/contrib ...

Specifying the cross compiler

If your container includes a cross compiler or compiler without aliases (for example, g++-7), its name must be specified additionally:

pvs-studio-analyzer analyze ... -C g++-7 -C compilerName ...

Linux Docker images for projects in Java

Creating an image

Installing from an archive

FROM openkbs/ubuntu-bionic-jdk-mvn-py3

ARG PVS_CORE="7.20.63487"

RUN wget "https://files.pvs-studio.com/java/pvsstudio-cores/${PVS_CORE}.zip"\
-O ${PVS_CORE}.zip \
 && mkdir -p ~/.config/PVS-Studio-Java \
 && unzip ${PVS_CORE}.zip -d ~/.config/PVS-Studio-Java \
 && rm -rf ${PVS_CORE}.zip

Command to build an image:

docker build -t viva64/pvs-studio:7.20 -f Dockerfile

Committing the analyzer layer

The analyzer is unpacked automatically at the first analysis of a project. You can specify the container's name and perform the analysis first:

docker run --name analyzer
  -v "D:\Project":"/mnt/Project"
  openkbs/ubuntu-bionic-jdk-mvn-py3
  sh -c "cd /mnt/Project && mvn package
    && mvn pvsstudio:pvsAnalyze -Dpvsstudio.licensePath=/path/to/PVS-Studio.lic"

and then commit to a new image:

docker commit analyzer viva64/pvs-studio:7.20

Note. A base image and dependencies must be changed according to the target project. Make sure you install and launch the analyzer as the same user.

Running the container

Regular checks should be launched in the same way with the --rm parameter added:

docker run --rm -v "D:\Project":"/mnt/Project"
  openkbs/ubuntu-bionic-jdk-mvn-py3
  sh -c "cd /mnt/Project
    && mvn package
    && mvn pvsstudio:pvsAnalyze -Dpvsstudio.licensePath=/path/to/PVS-Studio.lic"

Configuring the analyzer 

When integrating PVS-Studio into Maven or Gradle, you can configure the analyzer according to the documentation

Windows Docker images for projects in C, C++, and C#

Creating an image

To build a ready-made image with the latest version of the PVS-Studio analyzer, you can use the following Dockerfile:

# escape=`
FROM mcr.microsoft.com/dotnet/framework/runtime:4.8

SHELL ["cmd", "/S", "/C"]

# INSTALL chocolatey
RUN `
  @"%SystemRoot%\System32\WindowsPowerShell\v1.0\powershell.exe" -NoProfile`
  -InputFormat None -ExecutionPolicy Bypass `
  -Command " [System.Net.ServicePointManager]::SecurityProtocol = 3072; `
  iex ((New-Object System.Net.WebClient).DownloadString `
  ('https://chocolatey.org/install.ps1'))" `
  && `
  SET "PATH=%PATH%;%ALLUSERSPROFILE%\chocolatey\bin"

# INSTALL Visual Studio Build Tools components (minimal)
RUN `
  choco install -y visualstudio2019buildtools `
  --package-parameters "--quiet --wait --norestart --nocache `
  --add Microsoft.VisualStudio.Workload.VCTools;includeRecommended `
  --add Microsoft.VisualStudio.Workload.ManagedDesktopBuildTools`
  ;includeRecommended"

# INSTALL PVS-Studio
RUN `
  choco install -y pvs-studio

After running the following command in the Dockerfile directory, you can get a ready-made image:

docker build -t viva64/pvs-studio:7.20 .

The ready-made Docker image has minimal dependencies to analyze C++/C# "Hello World" projects. If your project requires additional components of Visual Studio Build Tools, then you should install it by adjusting the script. You can find the list of available components here.

This image has the latest available versions of Build Tools for Visual Studio 2019 and PVS-Studio using Chocolatey. To install a specific version of Build Tools 2019, you need to explicitly specify it during installation. For example,

choco install visualstudio2019buildtools --version=16.10.0.0 ...

You can learn more about the available versions here.

If you want to install Build Tools for Visual Studio 2017, use the same installation instructions.

If you don't need Chocolatey, you can install everything yourself by preparing all the the necessary installers. Next to Dockerfile, you need to create a directory with installers of the necessary versions (PVS-Studio, VS Build Tools, etc.). Dockerfile:

# escape=`
FROM mcr.microsoft.com/dotnet/framework/runtime:4.8

SHELL ["cmd", "/S", "/C"]

ADD .\installers C:\Installers

# INSTALL Visual Studio Build Tools components (minimal)
RUN `
  C:\Installers\vs_BuildTools.exe --quiet --wait --norestart --nocache `
  --add Microsoft.VisualStudio.Workload.VCTools;includeRecommended `
  --add Microsoft.VisualStudio.Workload.ManagedDesktopBuildTools`
;includeRecommended `
  || IF "%ERRORLEVEL%"=="3010" EXIT 0

# INSTALL PVS-Studio
RUN `
  C:\Installers\PVS-Studio_setup.exe `
  /verysilent /suppressmsgboxes /norestart /nocloseapplications

# Cleanup
RUN `
  RMDIR /S /Q C:\Installers

Note. If your project requires additional configuration of the environment and dependencies, then you need to modify the Dockerfile yourself accordingly.

Running the container

To run the analysis, when running the container, you need to mount all the necessary external dependencies. For example, the project directory, the file with the analyzer settings (Settings.xml ), etc.

The command to run the analysis may look like this:

docker run --rm -v "path\to\files":"C:\mnt" -w "C:\mnt" \
   viva64/pvs-studio:7.20 \
   "C:\Program Files (x86)\PVS-Studio\PVS-Studio_Cmd.exe" \
   --target ".\Project\Project.sln" --output ".\Report.plog" \ 
   --settings ".\Settings.xml" --sourceTreeRoot "C:\mnt"

After that you'll get report "path\to\files\Report.plog". You can open this report in the plugin for Visual Studio or in the Compiler Monitoring UI utility.

Note. The 'sourceTreeRoot' option is the root part of the path. PVS-Studio uses it when generating relative paths in diagnostic messages. This allows us to avoid invalid paths in a report.

Configuring the analyzer

You can configure the analyzer via:

  • command line when starting the analyzer;
  • special settings file 'Settings.xml'. You can prepare it in advance. For example, you can prepare it using the graphical interface of the plugin for Visual Studio. By default, this file is in the "%AppData%\PVS-Studio\" directory.

Windows Docker images for projects in Java

Creating an image

To make the analyzer core work, you only need to have Java 8+. If you use a build tool (Maven, Gradle), then you also need to configure an environment for it.

To get a Maven Docker image and the latest version of the PVS-Studio analyzer, you can use one of the following options:

Installation from the archive:

# escape=`
FROM csanchez/maven:3.8.3-azulzulu-11-windowsservercore-ltsc2019

SHELL ["cmd", "/S", "/C"]

ARG PVS_CORE="7.20.63487"

RUN `
  powershell -Command `
   Invoke-WebRequest `
       "https://files.pvs-studio.com/java/pvsstudio-cores/%PVS_CORE%.zip" `
       -OutFile .\pvs-studio.zip`
&& `
  powershell -Command `
   Expand-Archive `
     -LiteralPath '.\pvs-studio.zip' `
     -DestinationPath \"%APPDATA%\PVS-Studio-Java\" `
&& `
  DEL /f .\pvs-studio.zip

After running the following command in the Dockerfile directory, you can get a ready-made image:

docker build -t viva64/pvs-studio:7.20 .

A layer commit option with the analyzer

The analyzer is downloaded automatically when you analyze the project for the first time. You can pre-set the container name and run the project analysis:

docker run --name analyzer ^
  -v "path\to\project":"C:/mnt/Project" ^
  -w C:\mnt\Project ^
  csanchez/maven:3.8.3-azulzulu-11-windowsservercore-ltsc2019 ^
  mvn package pvsstudio:pvsAnalyze

Then commit to the new image:

docker commit analyzer viva64/pvs-studio:7.20

Note. If you use Gradle, you don't need to have a pre-installed build system — gradlew will do everything for you. Therefore, it is enough to take a Java 8+ image as the Dockerfile base.

Running the container

You should run the project analysis regularly in the same way:

docker run --name analyzer ^
  --rm ^
  -v "path\to\project":"C:/mnt/Project"^
  -w C:\mnt\Project^
  viva64/pvs-studio:7.20 ^
  mvn package pvsstudio:pvsAnalyze '-Dpvsstudio.licensePath=./PVS-Studio.lic'

This launch is different from the previous one because we specify the '--rm' option. Thus, the container does not remain in memory after the launch. You also need to specify the path to the license. In this example the license was put in the root of the project.

Note that every time you launch the analysis, Maven will download all the necessary dependencies to its local repository. To avoid this, you can mount the local Maven repository of the host machine at the launch. For example:

docker run ... -v "%M2_REPO%":"C:\Users\ContainerUser\.m2" ...

Configuring the analyzer 

When integrating PVS-Studio into Maven or Gradle, you can configure the analyzer according to the documentation

References

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