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看起来我们进入了错误的链接
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+ + + diff --git a/assets/404.html-0a2717d4.js b/assets/404.html-0a2717d4.js new file mode 100644 index 000000000..0f8cc9d84 --- /dev/null +++ b/assets/404.html-0a2717d4.js @@ -0,0 +1 @@ +import{_ as e,o as c,c as t}from"./app-2a91d8ab.js";const _={};function o(r,n){return c(),t("div")}const a=e(_,[["render",o],["__file","404.html.vue"]]);export{a as default}; diff --git a/assets/404.html-f9875e7b.js b/assets/404.html-f9875e7b.js new file mode 100644 index 000000000..5a0b8dedc --- /dev/null +++ b/assets/404.html-f9875e7b.js @@ -0,0 +1 @@ +const t=JSON.parse('{"key":"v-3706649a","path":"/404.html","title":"","lang":"zh-CN","frontmatter":{"layout":"NotFound"},"headers":[],"git":{},"filePathRelative":null}');export{t as data}; diff --git "a/assets/API\347\232\204\344\270\252\344\272\272\344\273\244\347\211\214-01c8b1a8.png" "b/assets/API\347\232\204\344\270\252\344\272\272\344\273\244\347\211\214-01c8b1a8.png" new file mode 100644 index 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new file mode 100644 index 000000000..b4218604a --- /dev/null +++ b/assets/Error-Prone.html-81fc48a5.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-61b23c38","path":"/zh/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E5%B7%A5%E5%85%B7/Error-Prone.html","title":"Error Prone 使用手册","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"Error Prone 介绍","slug":"error-prone-介绍","link":"#error-prone-介绍","children":[]},{"level":2,"title":"TCA使用指引","slug":"tca使用指引","link":"#tca使用指引","children":[]},{"level":2,"title":"Error Prone 配置","slug":"error-prone-配置","link":"#error-prone-配置","children":[{"level":3,"title":"通过Bazel构建","slug":"通过bazel构建","link":"#通过bazel构建","children":[]},{"level":3,"title":"Maven 配置 Error 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Error Prone 使用手册

Error Prone 介绍

Error Prone是google开源的Java编译时检测工具,将常见的Java错误捕获为编译时错误,增强对java代码的类型分析,从而让开发人员及时发现问题

TCA使用指引

TCA原有编译时检测工具JavaWarning获取java代码编译时的告警信息,现集成Error Prone规则至JavaWarning工具以增加获取Error Prone的错误告警信息。

',5),m=e("li",null,"在规则包中添加JavaWarning工具的Error Prone规则(可通过规则解决方法进行区分);",-1),p=e("li",null,"客户端启动分析,在TCA Web页面上查看问题。",-1),g=e("h2",{id:"error-prone-配置",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#error-prone-配置","aria-hidden":"true"},"#"),r(" Error Prone 配置")],-1),b=e("h3",{id:"通过bazel构建",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#通过bazel构建","aria-hidden":"true"},"#"),r(" 通过Bazel构建")],-1),h=e("li",null,[r("Bazel在构建java项目时,默认打开了Error Prone,所以在本地配置Bazel环境,编写Bazel构建文件,"),e("code",null,"bazel build :project"),r("构建项目即可。")],-1),_={href:"https://bazel.build/?hl=zh-cn",target:"_blank",rel:"noopener noreferrer"},E=a(`

Maven 配置 Error Prone

编辑pom.xml文件将设置添加到maven-compiler-plugin,例如:

<build>
+    <plugins>
+      <plugin>
+        <groupId>org.apache.maven.plugins</groupId>
+        <artifactId>maven-compiler-plugin</artifactId>
+        <version>3.8.0</version>
+        <configuration>
+          <source>8</source>
+          <target>8</target>
+          <encoding>UTF-8</encoding>
+          <compilerArgs>
+            <arg>-XDcompilePolicy=simple</arg>
+            <arg>-Xplugin:ErrorProne</arg>
+          </compilerArgs>
+          <annotationProcessorPaths>
+            <path>
+              <groupId>com.google.errorprone</groupId>
+              <artifactId>error_prone_core</artifactId>
+              <version>\${error-prone.version}</version>
+            </path>
+            <!-- Other annotation processors go here.
+
+            If 'annotationProcessorPaths' is set, processors will no longer be
+            discovered on the regular -classpath; see also 'Using Error Prone
+            together with other annotation processors' below. -->
+          </annotationProcessorPaths>
+        </configuration>
+      </plugin>
+    </plugins>
+  </build>
+

对于JDK 16或更高的版本,需要将以下内容--add-exports--add-opens标志添加到.mvn/jvm.config文件中:

--add-exports jdk.compiler/com.sun.tools.javac.api=ALL-UNNAMED
+--add-exports jdk.compiler/com.sun.tools.javac.file=ALL-UNNAMED
+--add-exports jdk.compiler/com.sun.tools.javac.main=ALL-UNNAMED
+--add-exports jdk.compiler/com.sun.tools.javac.model=ALL-UNNAMED
+--add-exports jdk.compiler/com.sun.tools.javac.parser=ALL-UNNAMED
+--add-exports jdk.compiler/com.sun.tools.javac.processing=ALL-UNNAMED
+--add-exports jdk.compiler/com.sun.tools.javac.tree=ALL-UNNAMED
+--add-exports jdk.compiler/com.sun.tools.javac.util=ALL-UNNAMED
+--add-opens jdk.compiler/com.sun.tools.javac.code=ALL-UNNAMED
+--add-opens jdk.compiler/com.sun.tools.javac.comp=ALL-UNNAMED
+

###命令行 Error Prone 支持com.sun.source.util.PluginAPI,并且可以通过将 Error Prone 添加到-processorpath并设置-Xplugin标志来与JDK 9及更高版本一起使用:

wget https://repo1.maven.org/maven2/com/google/errorprone/error_prone_core/\${EP_VERSION?}/error_prone_core-\${EP_VERSION?}-with-dependencies.jar
+wget https://repo1.maven.org/maven2/org/checkerframework/dataflow-errorprone/3.15.0/dataflow-errorprone-3.15.0.jar
+javac \\
+  -J--add-exports=jdk.compiler/com.sun.tools.javac.api=ALL-UNNAMED \\
+  -J--add-exports=jdk.compiler/com.sun.tools.javac.file=ALL-UNNAMED \\
+  -J--add-exports=jdk.compiler/com.sun.tools.javac.main=ALL-UNNAMED \\
+  -J--add-exports=jdk.compiler/com.sun.tools.javac.model=ALL-UNNAMED \\
+  -J--add-exports=jdk.compiler/com.sun.tools.javac.parser=ALL-UNNAMED \\
+  -J--add-exports=jdk.compiler/com.sun.tools.javac.processing=ALL-UNNAMED \\
+  -J--add-exports=jdk.compiler/com.sun.tools.javac.tree=ALL-UNNAMED \\
+  -J--add-exports=jdk.compiler/com.sun.tools.javac.util=ALL-UNNAMED \\
+  -J--add-opens=jdk.compiler/com.sun.tools.javac.code=ALL-UNNAMED \\
+  -J--add-opens=jdk.compiler/com.sun.tools.javac.comp=ALL-UNNAMED \\
+  -XDcompilePolicy=simple \\
+  -processorpath error_prone_core-\${EP_VERSION?}-with-dependencies.jar:dataflow-errorprone-3.15.0.jar \\
+  '-Xplugin:ErrorProne -XepDisableAllChecks -Xep:CollectionIncompatibleType:ERROR' \\
+  Example.java
+
`,7),A=e("li",null,[r("对于"),e("code",null,"JDK 16"),r("以及更高的版本"),e("code",null,"--add-exports"),r("和"),e("code",null,"--add-opens"),r("参数是必须的")],-1),j=e("code",null,"JDK 8",-1),N={href:"https://github.com/google/error-prone/blob/f8e33bc460be82ab22256a7ef8b979d7a2cacaba/docs/installation.md",target:"_blank",rel:"noopener noreferrer"},L=e("h3",{id:"其他配置和注意事项",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#其他配置和注意事项","aria-hidden":"true"},"#"),r(" 其他配置和注意事项")],-1),f={href:"https://errorprone.info/docs/installation",target:"_blank",rel:"noopener noreferrer"},x={href:"https://github.com/google/error-prone/blob/f8e33bc460be82ab22256a7ef8b979d7a2cacaba/docs/installation.md",target:"_blank",rel:"noopener noreferrer"};function k(P,D){const i=l("RouterLink"),o=l("ExternalLinkIcon");return d(),t("div",null,[u,e("ul",null,[m,e("li",null,[r("采用"),n(i,{to:"/en/guide/%E5%AE%A2%E6%88%B7%E7%AB%AF/%E6%9C%AC%E5%9C%B0%E5%88%86%E6%9E%90.html"},{default:c(()=>[r("TCA Client")]),_:1}),r("模式,根据客户端环境配置工具和编译命令,详情参考下文;")]),p]),g,b,e("ul",null,[h,e("li",null,[r("详情请参考"),e("a",_,[r("Bazel官方文档"),n(o)])])]),E,e("ul",null,[A,e("li",null,[r("对于"),j,r(",请参考"),e("a",N,[r("旧版本安装说明"),n(o)])])]),L,e("ul",null,[e("li",null,[r("Error Prone还支持通过Gradle和Ant配置,详情参考"),e("a",f,[r("Error Prone官方配置文档"),n(o)])]),e("li",null,[r("不同JDK版本参数有所不同,详情参考"),e("a",x,[r("旧版本安装说明"),n(o)])])])])}const M=s(v,[["render",k],["__file","Error-Prone.html.vue"]]);export{M as default}; diff --git a/assets/Error-Prone.html-dfd35ccd.js b/assets/Error-Prone.html-dfd35ccd.js new file mode 100644 index 000000000..79d6a5603 --- /dev/null +++ b/assets/Error-Prone.html-dfd35ccd.js @@ -0,0 +1,58 @@ +import{_ as s,r as l,o as d,c as t,a as e,b as r,d as n,w as c,e as a}from"./app-2a91d8ab.js";const v={},u=a('

Error Prone 使用手册

Error Prone 介绍

Error Prone是google开源的Java编译时检测工具,将常见的Java错误捕获为编译时错误,增强对java代码的类型分析,从而让开发人员及时发现问题

TCA使用指引

TCA原有编译时检测工具JavaWarning获取java代码编译时的告警信息,现集成Error Prone规则至JavaWarning工具以增加获取Error Prone的错误告警信息。

',5),m=e("li",null,"在规则包中添加JavaWarning工具的Error Prone规则(可通过规则解决方法进行区分);",-1),p=e("li",null,"客户端启动分析,在TCA Web页面上查看问题。",-1),g=e("h2",{id:"error-prone-配置",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#error-prone-配置","aria-hidden":"true"},"#"),r(" Error Prone 配置")],-1),b=e("h3",{id:"通过bazel构建",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#通过bazel构建","aria-hidden":"true"},"#"),r(" 通过Bazel构建")],-1),h=e("li",null,[r("Bazel在构建java项目时,默认打开了Error Prone,所以在本地配置Bazel环境,编写Bazel构建文件,"),e("code",null,"bazel build :project"),r("构建项目即可。")],-1),_={href:"https://bazel.build/?hl=zh-cn",target:"_blank",rel:"noopener noreferrer"},E=a(`

Maven 配置 Error Prone

编辑pom.xml文件将设置添加到maven-compiler-plugin,例如:

<build>
+    <plugins>
+      <plugin>
+        <groupId>org.apache.maven.plugins</groupId>
+        <artifactId>maven-compiler-plugin</artifactId>
+        <version>3.8.0</version>
+        <configuration>
+          <source>8</source>
+          <target>8</target>
+          <encoding>UTF-8</encoding>
+          <compilerArgs>
+            <arg>-XDcompilePolicy=simple</arg>
+            <arg>-Xplugin:ErrorProne</arg>
+          </compilerArgs>
+          <annotationProcessorPaths>
+            <path>
+              <groupId>com.google.errorprone</groupId>
+              <artifactId>error_prone_core</artifactId>
+              <version>\${error-prone.version}</version>
+            </path>
+            <!-- Other annotation processors go here.
+
+            If 'annotationProcessorPaths' is set, processors will no longer be
+            discovered on the regular -classpath; see also 'Using Error Prone
+            together with other annotation processors' below. -->
+          </annotationProcessorPaths>
+        </configuration>
+      </plugin>
+    </plugins>
+  </build>
+

对于JDK 16或更高的版本,需要将以下内容--add-exports--add-opens标志添加到.mvn/jvm.config文件中:

--add-exports jdk.compiler/com.sun.tools.javac.api=ALL-UNNAMED
+--add-exports jdk.compiler/com.sun.tools.javac.file=ALL-UNNAMED
+--add-exports jdk.compiler/com.sun.tools.javac.main=ALL-UNNAMED
+--add-exports jdk.compiler/com.sun.tools.javac.model=ALL-UNNAMED
+--add-exports jdk.compiler/com.sun.tools.javac.parser=ALL-UNNAMED
+--add-exports jdk.compiler/com.sun.tools.javac.processing=ALL-UNNAMED
+--add-exports jdk.compiler/com.sun.tools.javac.tree=ALL-UNNAMED
+--add-exports jdk.compiler/com.sun.tools.javac.util=ALL-UNNAMED
+--add-opens jdk.compiler/com.sun.tools.javac.code=ALL-UNNAMED
+--add-opens jdk.compiler/com.sun.tools.javac.comp=ALL-UNNAMED
+

###命令行 Error Prone 支持com.sun.source.util.PluginAPI,并且可以通过将 Error Prone 添加到-processorpath并设置-Xplugin标志来与JDK 9及更高版本一起使用:

wget https://repo1.maven.org/maven2/com/google/errorprone/error_prone_core/\${EP_VERSION?}/error_prone_core-\${EP_VERSION?}-with-dependencies.jar
+wget https://repo1.maven.org/maven2/org/checkerframework/dataflow-errorprone/3.15.0/dataflow-errorprone-3.15.0.jar
+javac \\
+  -J--add-exports=jdk.compiler/com.sun.tools.javac.api=ALL-UNNAMED \\
+  -J--add-exports=jdk.compiler/com.sun.tools.javac.file=ALL-UNNAMED \\
+  -J--add-exports=jdk.compiler/com.sun.tools.javac.main=ALL-UNNAMED \\
+  -J--add-exports=jdk.compiler/com.sun.tools.javac.model=ALL-UNNAMED \\
+  -J--add-exports=jdk.compiler/com.sun.tools.javac.parser=ALL-UNNAMED \\
+  -J--add-exports=jdk.compiler/com.sun.tools.javac.processing=ALL-UNNAMED \\
+  -J--add-exports=jdk.compiler/com.sun.tools.javac.tree=ALL-UNNAMED \\
+  -J--add-exports=jdk.compiler/com.sun.tools.javac.util=ALL-UNNAMED \\
+  -J--add-opens=jdk.compiler/com.sun.tools.javac.code=ALL-UNNAMED \\
+  -J--add-opens=jdk.compiler/com.sun.tools.javac.comp=ALL-UNNAMED \\
+  -XDcompilePolicy=simple \\
+  -processorpath error_prone_core-\${EP_VERSION?}-with-dependencies.jar:dataflow-errorprone-3.15.0.jar \\
+  '-Xplugin:ErrorProne -XepDisableAllChecks -Xep:CollectionIncompatibleType:ERROR' \\
+  Example.java
+
`,7),A=e("li",null,[r("对于"),e("code",null,"JDK 16"),r("以及更高的版本"),e("code",null,"--add-exports"),r("和"),e("code",null,"--add-opens"),r("参数是必须的")],-1),j=e("code",null,"JDK 8",-1),N={href:"https://github.com/google/error-prone/blob/f8e33bc460be82ab22256a7ef8b979d7a2cacaba/docs/installation.md",target:"_blank",rel:"noopener noreferrer"},L=e("h3",{id:"其他配置和注意事项",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#其他配置和注意事项","aria-hidden":"true"},"#"),r(" 其他配置和注意事项")],-1),f={href:"https://errorprone.info/docs/installation",target:"_blank",rel:"noopener noreferrer"},x={href:"https://github.com/google/error-prone/blob/f8e33bc460be82ab22256a7ef8b979d7a2cacaba/docs/installation.md",target:"_blank",rel:"noopener noreferrer"};function k(P,D){const i=l("RouterLink"),o=l("ExternalLinkIcon");return d(),t("div",null,[u,e("ul",null,[m,e("li",null,[r("采用"),n(i,{to:"/zh/guide/%E5%AE%A2%E6%88%B7%E7%AB%AF/%E6%9C%AC%E5%9C%B0%E5%88%86%E6%9E%90.html"},{default:c(()=>[r("TCA Client")]),_:1}),r("模式,根据客户端环境配置工具和编译命令,详情参考下文;")]),p]),g,b,e("ul",null,[h,e("li",null,[r("详情请参考"),e("a",_,[r("Bazel官方文档"),n(o)])])]),E,e("ul",null,[A,e("li",null,[r("对于"),j,r(",请参考"),e("a",N,[r("旧版本安装说明"),n(o)])])]),L,e("ul",null,[e("li",null,[r("Error Prone还支持通过Gradle和Ant配置,详情参考"),e("a",f,[r("Error Prone官方配置文档"),n(o)])]),e("li",null,[r("不同JDK版本参数有所不同,详情参考"),e("a",x,[r("旧版本安装说明"),n(o)])])])])}const M=s(v,[["render",k],["__file","Error-Prone.html.vue"]]);export{M as default}; diff --git a/assets/FAQ.html-687658b7.js b/assets/FAQ.html-687658b7.js new file mode 100644 index 000000000..3bd66b8b9 --- /dev/null +++ b/assets/FAQ.html-687658b7.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-023e8091","path":"/en/quickStarted/FAQ.html","title":"FAQ","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"Server常见问题与处理方法","slug":"server常见问题与处理方法","link":"#server常见问题与处理方法","children":[{"level":3,"title":"1. 环境部署","slug":"_1-环境部署","link":"#_1-环境部署","children":[]},{"level":3,"title":"2. 服务启动与初始化","slug":"_2-服务启动与初始化","link":"#_2-服务启动与初始化","children":[]},{"level":3,"title":"3. 平台使用","slug":"_3-平台使用","link":"#_3-平台使用","children":[]}]},{"level":2,"title":"CodeAnalysis仓库文件问题","slug":"codeanalysis仓库文件问题","link":"#codeanalysis仓库文件问题","children":[{"level":3,"title":"1. clone到本地时相关md文件内资源图片无法显示","slug":"_1-clone到本地时相关md文件内资源图片无法显示","link":"#_1-clone到本地时相关md文件内资源图片无法显示","children":[]}]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/quickStarted/FAQ.md"}');export{e as data}; diff --git a/assets/FAQ.html-7682a4cb.js b/assets/FAQ.html-7682a4cb.js new file mode 100644 index 000000000..4fb555d47 --- /dev/null +++ b/assets/FAQ.html-7682a4cb.js @@ -0,0 +1,62 @@ +import{_ as s,r,o as t,c as p,a as e,b as o,d as i,w as l,e as c}from"./app-2a91d8ab.js";const u={},h=e("h1",{id:"faq",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#faq","aria-hidden":"true"},"#"),o(" FAQ")],-1),m={class:"custom-container tip"},v=e("p",{class:"custom-container-title"},"TIP",-1),b=e("p",null,"该Q&A文档会持续更新,非常欢迎您的建议与共建!",-1),g={class:"table-of-contents"},_=c(`

Server常见问题与处理方法

1. 环境部署

1.1 pypi下载超时或失败

如果在执行pip install环节出现以下错误,可以调整一下镜像源:

WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='files.pythonhosted. org', port=443): Read timed out.(read timeout=15)") '
+

该错误是访问官方pypi下载源时网络不通或者不稳定导致,可以通过以下方式调整:

本地部署时,调整pypi下载源配置方式:

mkdir ~/.pip/
+echo "[global]\\nindex-url = https://mirrors.cloud.tencent.com/pypi/simple" >> ~/.pip/pip.conf
+

Docker-Compose部署时,调整pypi下载源配置方式:

vi server/dockerconfs/Dockerfile-common
+

调整文件中最后一行 RUN指令

RUN mkdir -p log/ && \\
+    mkdir ~/.pip/ && \\
+    echo "[global]\\nindex-url = https://mirrors.cloud.tencent.com/pypi/simple" >> ~/.pip/pip.conf && \\
+    pip install -U setuptools pip && \\
+    pip install -r requirements.txt
+

注:如果需要指定其他pypi下载源,可以将https://mirrors.cloud.tencent.com/pypi/simple进行替换

如果出现以下错误:

WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7f6d4ac24910>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution')': /simple/setuptools/
+

该错误是无法正常解析pypi访问域名,需要检查一下本地的dns配置是否正常

1.2 Docker未安装或版本过低

TCA Server使用Docker-Compose依赖的Docker版本需要是1.13.0及以上,可以执行以下命令查看Docker版本

$ docker --version
+Docker version 18.09.7, build 2d0083d
+

文档相关:

`,20),f={href:"https://docs.docker.com/compose/compose-file/compose-versioning/",target:"_blank",rel:"noopener noreferrer"},x={href:"https://docs.docker.com/engine/install/centos/",target:"_blank",rel:"noopener noreferrer"},y={href:"https://docs.docker.com/engine/install/ubuntu/",target:"_blank",rel:"noopener noreferrer"},k=c(`

1.3 Docker-Compose启动失败

如果启动Docker-Compose输出以下错误:

* Error response from daemon: Error processing tar file(exit status 1): unexpected EOF
+* Error response from daemon: Error processing tar file(exit status 1): unexpected EOF
+* Error response from daemon: Error processing tar file(exit status 1): unexpected EOF
+

问题原因:可能镜像构建目录权限不足,导致异常。 解决方案:

  1. 执行docker-compose build可以通过日志查看是哪个镜像构建异常
  2. 切换到具体目录执行docker build .可以看到详细错误信息,结合具体错误信息进行处理
  3. 收集常见的错误日志,整理相关解决方案(注:欢迎大家补充)

文档相关:

`,6),E={href:"https://docs.docker.com/compose/install/",target:"_blank",rel:"noopener noreferrer"},R={href:"https://docs.docker.com/compose/cli-command/",target:"_blank",rel:"noopener noreferrer"},C=c(`

1.4 Docker镜像源下载超时或失败

目前TCA基础镜像是使用python:3.7.12-slim,该镜像是基于debian bullseye(debian 11)版本构建的,对应的源需要选择 bullseye 版本的源。

如果使用默认的下载源会报错或访问速度比较慢,可以调整server/dockerconfs/Dockerfile-common,指定其他国内下载源:

# FROM python:3.7.12-slim
+
+# 增加一下内容用于指定下载源
+RUN mv /etc/apt/sources.list /etc/apt/sources.list.bak && \\
+    echo 'deb http://mirrors.tencent.com/debian/ bullseye main non-free contrib' > /etc/apt/sources.list && \\
+    echo 'deb http://mirrors.tencent.com/debian/ bullseye-updates main non-free contrib' >> /etc/apt/sources.list && \\
+    echo 'deb http://mirrors.tencent.com/debian-security bullseye-security main non-free contrib' >> /etc/apt/sources.list
+
+# ARG EXTRA_TOOLS=...
+

如果出现以下错误:E: Error, pkgProblemResolver::Resolve generated breaks, this may be caused by held packages 可以做以下检查,确认是什么原因:

  1. 检查一下本地服务器的时间配置是否正常
  2. 调整下载源

1.5 Python安装或执行失败

使用Python执行时提示ImportError: libpython3.7m.so.1.0: cannot open shared object file: No such file or directory,该如何处理

  1. 在本地安装Python的目录中查找该文件,比如Python的安装目录是/usr/local/python3,可以执行find /usr/local/python3 -name "libpython3.7m.so.1.0",确认本地是否存在该文件

  2. 如果本地存在该文件,则执行以下命令:(注:需要将/usr/local/python3调整为本地实际的Python3安装路径)

    # 链接构建产出的Python动态库
    +$ ln -s /usr/local/python3/lib/libpython3.7m.so.1.0 /usr/lib/libpython3.7m.so.1.0
    +# 配置动态库
    +$ ldconfig
    +
  3. 如果本地不存在该文件,则可能需要重新安装Python3:(注:以下是将Python安装到/usr/local/python3,可以根据实际情况进行调整)

    # 编译前配置,注意重点:需要加上参数 --enable-shared
    +$ ./configure prefix=/usr/local/python3 --enable-shared
    +

文档相关:

`,10),T={href:"https://github.com/Tencent/CodeAnalysis/blob/main/doc/references/install_python37_on_centos.md",target:"_blank",rel:"noopener noreferrer"},D={href:"https://github.com/Tencent/CodeAnalysis/blob/main/doc/references/install_python37_on_ubuntu.md",target:"_blank",rel:"noopener noreferrer"},j=c(`

1.6 执行compose_init.sh脚本的pip install提示sha256不匹配错误

在构建镜像的pip install步骤提示以下报错时:

ERROR: THESE PACKAGES DO NOT MATCH THE HASHES FROM THE REQUIREMENTS FILE. If you have updated the package versions, please update the hashes. Otherwise, examine the package contents carefully; someone may have tampered with them.
+    setuptools from https://mirrors.cloud.tencent.com/pypi/packages/fb/58/9efbfe68482dab9557c49d433a60fff9efd7ed8835f829eba8297c2c124a/setuptools-62.1.0-py3-none-any.whl#sha256=26ead7d1f93efc0f8c804d9fafafbe4a44b179580a7105754b245155f9af05a8:
+        Expected sha256 26ead7d1f93efc0f8c804d9fafafbe4a44b179580a7105754b245155f9af05a8
+             Got        ddaacc49de5c08c09d744573240a9a49f24f65c5c72380e972433784caa68d98
+

可以执行export ORIGIN=normal,然后再执行./compose_init.sh

注:执行export命令的作用是调整为pypi默认官方下载源进行pip install

1.7 MacBook M1 使用 Docker-Compose报错

在M1机器上使用默认配置启动docker-compose,会出现mysqlscmproxy服务启动失败,需要做以下两步调整

  1. 调整docker-compose.yml文件,修改MySQL的镜像版本:

    # 默认:
    +image: mysql:5.7.24
    +
    +# 调整后:
    +image: mariadb:10.5.8
    +
  2. 调整server/dockerconfs/Dockerfile-common文件,修改Python的镜像版本:

    # 默认:
    +FROM python:3.7.12-slim
    +
    +# 调整后:
    +FROM amd64/python:3.7.12-slim
    +

1.8 celery、gunicorn命令找不到

如果启动服务时,提示:celery could not be foundgunicorn could not be found,需要做以下检查

  1. 执行python -v检查输出,确认当前python版本是否为python3.7
  2. 执行pip install celerypip install gunicorn检查celery和gunicorn是否已经安装
  3. 如果已经安装,可以执行以下命令建立软链:(注:需要将/usr/local/python3调整为本地实际的Python3安装路径)
ln -s /usr/local/python3/bin/gunicorn /usr/local/bin/gunicorn
+ln -s /usr/local/python3/bin/celery /usr/local/bin/celery
+

2. 服务启动与初始化

2.1 服务占用端口异常

TCA 本地部署启动后,会监听多个端口:

  • web服务:80
  • nginx服务:8000
  • main服务:8001
  • analysis服务:8002
  • login服务:8003
  • file-nginx服务:8004
  • file服务:8804
  • scmproxy服务:8009

如果出现端口占用冲突,建议采用以下方式解决:

  1. 调整其他程序监听的端口号,避免跟上述TCA服务的端口号出现冲突
  2. 采用Docker-Compose方式启动TCA,仅监听80端口

不推荐调整TCA指定服务的端口号,需要调整多处配置,以及可能会影响到后续服务的升级

2.2 服务输出日志找不到

本地部署输出的日志位置:

  1. main服务输出的日志目录:server/projects/main/log
    • 服务启动日志:server/projects/main/log/gunicorn_error.log
    • 服务接收请求日志:server/projects/main/log/gunicorn_access.log
    • Celery Worker启动日志(处理异步任务):server/projects/main/nohup_worker.out
    • Celery Beat启动日志(启动定时任务):server/projects/main/nohup_beat.out
    • 服务运行日志:server/projects/main/log/codedog.log
    • Celery Worker运行日志:server/projects/main/log/main_celery.log
    • Celery Beat运行日志:server/projects/main/log/main_beat.log
  2. analysis服务输出的日志目录:server/projects/analysis/log
    • 服务启动日志:server/projects/analysis/log/gunicorn_error.log
    • Celery Worker启动日志:server/projects/analysis/nohup.out
    • 服务接收请求日志:server/projects/analysis/log/gunicorn_access.log
    • 服务运行日志:server/projects/analysis/log/codedog.log
    • Celery Worker运行日志(处理结果入库):server/projects/analysis/log/celery.log
  3. login服务输出的日志目录:server/projects/login/log
    • 服务启动日志:server/projects/login/log/gunicorn_error.log
    • 服务接收请求日志:server/projects/login/log/gunicorn_access.log
    • 服务运行日志:server/projects/login/log/codedog.log
  4. file服务输出的日志目录:server/projects/file/log
    • 服务启动日志:server/projects/file/log/gunicorn_error.log
    • 服务接收请求日志:server/projects/file/log/gunicorn_access.log
    • 服务运行日志:server/projects/file/log/codedog_file.log
  5. scmproxy服务输出的日志目录:server/projects/scmproxy/logs
    • 服务启动日志:server/projects/scmproxy/nohup.out
    • 服务运行日志:server/projects/scmproxy/logs/scmproxy.log

3. 平台使用

3.1 平台登录的默认账号密码是什么?

默认账号: CodeDog,密码: admin

3.2 平台默认的API Token是什么?

默认Token是0712b895f30c5e958ec71a7c22e1b1a2ad1d5c6b

如果在平台上刷新了CodeDog用户的Token,需要将刷新后的Token填写到以下文件中:

  1. server/scripts/config.sh文件
    • 更新CODEDOG_TOKENFILE_SERVER_TOKEN变量的值(3个位置)
  2. server/dockerconfs/.env.local文件
    • 更新CODEDOG_TOKENFILE_SERVER_TOKEN变量的值(3个位置)

然后重启服务。

  1. 本地部署:

    cd server/
    +./scripts/deploy.sh start
    +
  2. docker-compose部署:

    $ docker-compose stop
    +# 稍等片刻
    +$ docker-compose up -d
    +

3.3 代码库登记出错,出现代码库及账号不匹配

该错误出现可能有以下几个原因:

`,33),S=e("li",null,"账号密码不准确或登记的代码库地址不存在",-1),N=e("code",null,"github",-1),A={href:"https://github.com/settings/tokens",target:"_blank",rel:"noopener noreferrer"},O=e("code",null,"personal access token",-1),L=c("
  • scmproxy服务启动失败
    • 本地部署:执行ps aux | grep proxyserver看看是否有python proxyserver.py执行进程,如果不存在可以看一下server/projects/scmproxy/nohup.out看看启动失败的原因
    • docker-compose部署:在项目根目录执行docker-compose ps看看scmproxy容器是否正常启动,如果没有启动,可以执行docker-compose logs scmproxy看看启动失败的原因
  • scmproxy所在的机器/容器因为网络问题无法访问对应的代码库
    • 可以手动在机器/容器中执行git clone xxxx(xxx表示待登记的代码库),检查看看是否能够正常拉取
  • scmproxy所在的机器git版本较低,出现unknown option `local` 错误
    • 可以升级机器上的git版本,目前工具支持最低的git版本为1.8.3.1
  • ",3),P=c(`

    3.4 查看问题文件提示获取代码信息耗时较久,请稍后再试

    出现该提示的原因是,代码库偏大或clone代码库时间较长,可以稍等一会再刷新重试

    3.5 客户端访问文件服务器,提示method(upload_file) call fails on error: Expecting value: line 1 column 1 (char 0)

    出现这种错误,可能是本地配置异常或token配置有问题,检查方式如下:

    1. 检查客户端的config.ini文件配置的URL是否为当前Server部署的地址:(xxx需要调整为实际的路径)

      [SERVER_URL]
      +URL=http://xxx/server/main/
      +[FILE_SERVER]
      +URL=http:/xxx/server/files/
      +

      如果xxx不一致需要调整为一致

      注: xxx地址与在浏览器访问平台的xxx地址是一致的,不需要区分端口

    2. 检查客户端访问Server是否能通:

      curl -v http://xxx/server/main/
      +

      如果不通,则需要检查客户端机器访问Server机器是否有网络限制

    3. 检查当前在codedog.ini-[config]tokenconfig.ini文件配置的[FILE_SERVER]TOKEN是否一致,如果不一致需要调整为一致

    4. 检查用户CodeDogToken是否被刷新了然后没有更新到配置文件中

    3.6 客户端访问文件服务器,提示Connection timed out

    本地客户端执行过程提示method (upload file) call fails on error: <urlopen error [Errno 110] Connection timed out> 该如何处理? 一般情况下,这个问题是客户端与Server之间网络不通导致,可以检查一下是否有防火墙限制或者配置的URL是内部IP或地址,可以通过以下方式检查

    1. 检查客户端的config.ini文件配置的URL是否为当前Server部署的地址:(xxx需要调整为实际的路径)

      [SERVER_URL]
      +URL=http://xxx/server/main/
      +[FILE_SERVER]
      +URL=http:/xxx/server/files/
      +
    2. 检查客户端访问Server是否能通:

      curl -v http://xxx/server/main/
      +

      如果不通,则需要检查客户端机器访问Server机器是否有网络限制

    3.7 任务执行结果异常,提示第三方依赖文件服务器异常

    出现该错误提示,一般是访问文件器出错或文件服务器本身有问题,可以通过以下方式检查: 需要检查analysis-worker的日志(本地部署:server/projects/analysis/log/celery.log,docker-compose部署:docker-compose exec analysis-worker /bin/bash进入容器后访问log/celery.log查看具体错误原因

    如果提示no route to host可能是当前机器/容器无法访问当前宿主机的IP,可以检查一下当前防火墙的设置,是否限制了analysis-worker来源的访问

    3.8 客户端执行时提示工具(xxx)扫描进程为空,请联系管理员配置工具进程!

    出现该错误提示,一般是Server未进行初始化,可以通过执行以下命令初始化后再启动测试

    • 本地部署:cd server && ./scripts/deploy.sh init
    • docker-compose部署:./compose_init.sh

    CodeAnalysis仓库文件问题

    1. clone到本地时相关md文件内资源图片无法显示

    为防止国内用户访问CodeAnalysis Github首页时图片资源加载失败,目前各个md文件中的图片资源引用地址调整增加了URL前缀https://tencent.github.io/CodeAnalysis/

    用户下载代码库到本地后,发现无法访问资源文件时,请检查本地网络是否能够连通外网,如果无法连通外网,可以在文档引入资源地址中进行相对路径替换,调整各个资源文件的链接。

    • 对于根目录下的md文件,直接删除URL前缀即可:

      例如在https://tencent.github.io/CodeAnalysis/media/homepage.png这个链接可以调整为media/homepage.png

    • 对于其他目录下的md文件,删除URL前缀后,需调整文件相对路径链接:

      例如对于doc/client.md, 需将https://tencent.github.io/CodeAnalysis/media/clientConfigIni.png这个链接调整为../media/clientConfigIni.png

    `,19);function I(F,U){const a=r("RouterLink"),n=r("router-link"),d=r("ExternalLinkIcon");return t(),p("div",null,[h,e("div",m,[v,b,e("p",null,[o("如果您遇到任何未在此处列出的部署或使用问题,请在 GitHub issue 系统中进行搜索。如果仍未找到该错误消息,您可以通过"),i(a,{to:"/en/community/joingroup.html"},{default:l(()=>[o("社区")]),_:1}),o("提出问题,获得帮助。")])]),e("nav",g,[e("ul",null,[e("li",null,[i(n,{to:"#server常见问题与处理方法"},{default:l(()=>[o("Server常见问题与处理方法")]),_:1}),e("ul",null,[e("li",null,[i(n,{to:"#_1-环境部署"},{default:l(()=>[o("1. 环境部署")]),_:1}),e("ul",null,[e("li",null,[i(n,{to:"#_1-1-pypi下载超时或失败"},{default:l(()=>[o("1.1 pypi下载超时或失败")]),_:1})]),e("li",null,[i(n,{to:"#_1-2-docker未安装或版本过低"},{default:l(()=>[o("1.2 Docker未安装或版本过低")]),_:1})]),e("li",null,[i(n,{to:"#_1-3-docker-compose启动失败"},{default:l(()=>[o("1.3 Docker-Compose启动失败")]),_:1})]),e("li",null,[i(n,{to:"#_1-4-docker镜像源下载超时或失败"},{default:l(()=>[o("1.4 Docker镜像源下载超时或失败")]),_:1})]),e("li",null,[i(n,{to:"#_1-5-python安装或执行失败"},{default:l(()=>[o("1.5 Python安装或执行失败")]),_:1})]),e("li",null,[i(n,{to:"#_1-6-执行compose-init-sh脚本的pip-install提示sha256不匹配错误"},{default:l(()=>[o("1.6 执行compose_init.sh脚本的pip install提示sha256不匹配错误")]),_:1})]),e("li",null,[i(n,{to:"#_1-7-macbook-m1-使用-docker-compose报错"},{default:l(()=>[o("1.7 MacBook M1 使用 Docker-Compose报错")]),_:1})]),e("li",null,[i(n,{to:"#_1-8-celery、gunicorn命令找不到"},{default:l(()=>[o("1.8 celery、gunicorn命令找不到")]),_:1})])])]),e("li",null,[i(n,{to:"#_2-服务启动与初始化"},{default:l(()=>[o("2. 服务启动与初始化")]),_:1}),e("ul",null,[e("li",null,[i(n,{to:"#_2-1-服务占用端口异常"},{default:l(()=>[o("2.1 服务占用端口异常")]),_:1})]),e("li",null,[i(n,{to:"#_2-2-服务输出日志找不到"},{default:l(()=>[o("2.2 服务输出日志找不到")]),_:1})])])]),e("li",null,[i(n,{to:"#_3-平台使用"},{default:l(()=>[o("3. 平台使用")]),_:1}),e("ul",null,[e("li",null,[i(n,{to:"#_3-1-平台登录的默认账号密码是什么"},{default:l(()=>[o("3.1 平台登录的默认账号密码是什么?")]),_:1})]),e("li",null,[i(n,{to:"#_3-2-平台默认的api-token是什么"},{default:l(()=>[o("3.2 平台默认的API Token是什么?")]),_:1})]),e("li",null,[i(n,{to:"#_3-3-代码库登记出错-出现代码库及账号不匹配"},{default:l(()=>[o("3.3 代码库登记出错,出现代码库及账号不匹配")]),_:1})]),e("li",null,[i(n,{to:"#_3-4-查看问题文件提示获取代码信息耗时较久-请稍后再试"},{default:l(()=>[o("3.4 查看问题文件提示获取代码信息耗时较久,请稍后再试")]),_:1})]),e("li",null,[i(n,{to:"#_3-5-客户端访问文件服务器-提示method-upload-file-call-fails-on-error-expecting-value-line-1-column-1-char-0"},{default:l(()=>[o("3.5 客户端访问文件服务器,提示method(upload_file) call fails on error: Expecting value: line 1 column 1 (char 0)")]),_:1})]),e("li",null,[i(n,{to:"#_3-6-客户端访问文件服务器-提示connection-timed-out"},{default:l(()=>[o("3.6 客户端访问文件服务器,提示Connection timed out")]),_:1})]),e("li",null,[i(n,{to:"#_3-7-任务执行结果异常-提示第三方依赖文件服务器异常"},{default:l(()=>[o("3.7 任务执行结果异常,提示第三方依赖文件服务器异常")]),_:1})]),e("li",null,[i(n,{to:"#_3-8-客户端执行时提示工具-xxx-扫描进程为空-请联系管理员配置工具进程"},{default:l(()=>[o("3.8 客户端执行时提示工具(xxx)扫描进程为空,请联系管理员配置工具进程!")]),_:1})])])])])]),e("li",null,[i(n,{to:"#codeanalysis仓库文件问题"},{default:l(()=>[o("CodeAnalysis仓库文件问题")]),_:1}),e("ul",null,[e("li",null,[i(n,{to:"#_1-clone到本地时相关md文件内资源图片无法显示"},{default:l(()=>[o("1. clone到本地时相关md文件内资源图片无法显示")]),_:1})])])])])]),_,e("ul",null,[e("li",null,[e("a",f,[o("Compose文件版本与对应的Docker版本说明文档"),i(d)])]),e("li",null,[e("a",x,[o("CentOS安装Docker官方文档"),i(d)])]),e("li",null,[e("a",y,[o("Ubuntu安装Docker文档"),i(d)])])]),k,e("ul",null,[e("li",null,[e("a",E,[o("Docker-Compose官方安装文档"),i(d)])]),e("li",null,[e("a",R,[o("Docker-ComposeV2官方安装文档"),i(d)])])]),C,e("ul",null,[e("li",null,[e("a",T,[o("CentOS安装Python3.7文档"),i(d)])]),e("li",null,[e("a",D,[o("Ubuntu安装Python3.7文档"),i(d)])])]),j,e("ol",null,[S,e("li",null,[o("登记"),N,o("使用的密码需要使用"),e("a",A,[O,i(d)])]),L]),P])}const w=s(u,[["render",I],["__file","FAQ.html.vue"]]);export{w as default}; diff --git a/assets/FAQ.html-8873eb25.js b/assets/FAQ.html-8873eb25.js new file mode 100644 index 000000000..bc6dd2b3d --- /dev/null +++ b/assets/FAQ.html-8873eb25.js @@ -0,0 +1,64 @@ +import{_ as s,r as a,o as t,c as p,a as e,b as o,d as i,w as l,e as c}from"./app-2a91d8ab.js";const u={},h=e("h1",{id:"faq",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#faq","aria-hidden":"true"},"#"),o(" FAQ")],-1),m={class:"custom-container tip"},v=e("p",{class:"custom-container-title"},"提示",-1),b=e("p",null,"该Q&A文档会持续更新,非常欢迎您的建议与共建!",-1),g={class:"table-of-contents"},_=c(`

    Server常见问题与处理方法

    1. 环境部署

    1.1 pypi下载超时或失败

    如果在执行pip install环节出现以下错误,可以调整一下镜像源:

    WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='files.pythonhosted. org', port=443): Read timed out.(read timeout=15)") '
    +

    该错误是访问官方pypi下载源时网络不通或者不稳定导致,可以通过以下方式调整:

    本地部署时,调整pypi下载源配置方式:

    mkdir ~/.pip/
    +echo "[global]\\nindex-url = https://mirrors.cloud.tencent.com/pypi/simple" >> ~/.pip/pip.conf
    +

    Docker-Compose部署时,调整pypi下载源配置方式:

    vi server/dockerconfs/Dockerfile-common
    +

    调整文件中最后一行 RUN指令

    RUN mkdir -p log/ && \\
    +    mkdir ~/.pip/ && \\
    +    echo "[global]\\nindex-url = https://mirrors.cloud.tencent.com/pypi/simple" >> ~/.pip/pip.conf && \\
    +    pip install -U setuptools pip && \\
    +    pip install -r requirements.txt
    +

    注:如果需要指定其他pypi下载源,可以将https://mirrors.cloud.tencent.com/pypi/simple进行替换

    如果出现以下错误:

    WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7f6d4ac24910>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution')': /simple/setuptools/
    +

    该错误是无法正常解析pypi访问域名,需要检查一下本地的dns配置是否正常

    1.2 Docker未安装或版本过低

    TCA Server使用Docker-Compose依赖的Docker版本需要是1.13.0及以上,可以执行以下命令查看Docker版本

    $ docker --version
    +Docker version 18.09.7, build 2d0083d
    +

    文档相关:

    `,20),f={href:"https://docs.docker.com/compose/compose-file/compose-versioning/",target:"_blank",rel:"noopener noreferrer"},x={href:"https://docs.docker.com/engine/install/centos/",target:"_blank",rel:"noopener noreferrer"},y={href:"https://docs.docker.com/engine/install/ubuntu/",target:"_blank",rel:"noopener noreferrer"},k=c(`

    1.3 Docker-Compose启动失败

    如果启动Docker-Compose输出以下错误:

    * Error response from daemon: Error processing tar file(exit status 1): unexpected EOF
    +* Error response from daemon: Error processing tar file(exit status 1): unexpected EOF
    +* Error response from daemon: Error processing tar file(exit status 1): unexpected EOF
    +

    问题原因:可能镜像构建目录权限不足,导致异常。 解决方案:

    1. 执行docker-compose build可以通过日志查看是哪个镜像构建异常
    2. 切换到具体目录执行docker build .可以看到详细错误信息,结合具体错误信息进行处理
    3. 收集常见的错误日志,整理相关解决方案(注:欢迎大家补充)

    文档相关:

    `,6),E={href:"https://docs.docker.com/compose/install/",target:"_blank",rel:"noopener noreferrer"},R={href:"https://docs.docker.com/compose/cli-command/",target:"_blank",rel:"noopener noreferrer"},C=c(`

    1.4 Docker镜像源下载超时或失败

    目前TCA基础镜像是使用python:3.7.12-slim,该镜像是基于debian bullseye(debian 11)版本构建的,对应的源需要选择 bullseye 版本的源。

    如果使用默认的下载源会报错或访问速度比较慢,可以调整server/dockerconfs/Dockerfile-common,指定其他国内下载源:

    # FROM python:3.7.12-slim
    +
    +# 增加一下内容用于指定下载源
    +RUN mv /etc/apt/sources.list /etc/apt/sources.list.bak && \\
    +    echo 'deb http://mirrors.tencent.com/debian/ bullseye main non-free contrib' > /etc/apt/sources.list && \\
    +    echo 'deb http://mirrors.tencent.com/debian/ bullseye-updates main non-free contrib' >> /etc/apt/sources.list && \\
    +    echo 'deb http://mirrors.tencent.com/debian-security bullseye-security main non-free contrib' >> /etc/apt/sources.list
    +
    +# ARG EXTRA_TOOLS=...
    +

    如果出现以下错误:E: Error, pkgProblemResolver::Resolve generated breaks, this may be caused by held packages 可以做以下检查,确认是什么原因:

    1. 检查一下本地服务器的时间配置是否正常
    2. 调整下载源

    1.5 Python安装或执行失败

    使用Python执行时提示ImportError: libpython3.7m.so.1.0: cannot open shared object file: No such file or directory,该如何处理

    1. 在本地安装Python的目录中查找该文件,比如Python的安装目录是/usr/local/python3,可以执行find /usr/local/python3 -name "libpython3.7m.so.1.0",确认本地是否存在该文件

    2. 如果本地存在该文件,则执行以下命令:(注:需要将/usr/local/python3调整为本地实际的Python3安装路径)

      # 链接构建产出的Python动态库
      +$ ln -s /usr/local/python3/lib/libpython3.7m.so.1.0 /usr/lib/libpython3.7m.so.1.0
      +# 配置动态库
      +$ ldconfig
      +
    3. 如果本地不存在该文件,则可能需要重新安装Python3:(注:以下是将Python安装到/usr/local/python3,可以根据实际情况进行调整)

      # 编译前配置,注意重点:需要加上参数 --enable-shared
      +$ ./configure prefix=/usr/local/python3 --enable-shared
      +

    文档相关:

    `,10),L={href:"https://github.com/Tencent/CodeAnalysis/blob/main/doc/references/install_python37_on_centos.md",target:"_blank",rel:"noopener noreferrer"},S={href:"https://github.com/Tencent/CodeAnalysis/blob/main/doc/references/install_python37_on_ubuntu.md",target:"_blank",rel:"noopener noreferrer"},T=c(`

    1.6 执行compose_init.sh脚本的pip install提示sha256不匹配错误

    在构建镜像的pip install步骤提示以下报错时:

    ERROR: THESE PACKAGES DO NOT MATCH THE HASHES FROM THE REQUIREMENTS FILE. If you have updated the package versions, please update the hashes. Otherwise, examine the package contents carefully; someone may have tampered with them.
    +    setuptools from https://mirrors.cloud.tencent.com/pypi/packages/fb/58/9efbfe68482dab9557c49d433a60fff9efd7ed8835f829eba8297c2c124a/setuptools-62.1.0-py3-none-any.whl#sha256=26ead7d1f93efc0f8c804d9fafafbe4a44b179580a7105754b245155f9af05a8:
    +        Expected sha256 26ead7d1f93efc0f8c804d9fafafbe4a44b179580a7105754b245155f9af05a8
    +             Got        ddaacc49de5c08c09d744573240a9a49f24f65c5c72380e972433784caa68d98
    +

    可以执行export ORIGIN=normal,然后再执行./compose_init.sh

    注:执行export命令的作用是调整为pypi默认官方下载源进行pip install

    1.7 MacBook M1 使用 Docker-Compose报错

    在M1机器上使用默认配置启动docker-compose,会出现mysqlscmproxy服务启动失败,需要做以下两步调整

    1. 调整docker-compose.yml文件,修改MySQL的镜像版本:

      # 默认:
      +image: mysql:5.7.24
      +
      +# 调整后:
      +image: mariadb:10.5.8
      +
    2. 调整server/dockerconfs/Dockerfile-common文件,修改Python的镜像版本:

      # 默认:
      +FROM python:3.7.12-slim
      +
      +# 调整后:
      +FROM amd64/python:3.7.12-slim
      +

    1.8 celery、gunicorn命令找不到

    如果启动服务时,提示:celery could not be foundgunicorn could not be found,需要做以下检查

    1. 执行python -v检查输出,确认当前python版本是否为python3.7
    2. 执行pip install celerypip install gunicorn检查celery和gunicorn是否已经安装
    3. 如果已经安装,可以执行以下命令建立软链:(注:需要将/usr/local/python3调整为本地实际的Python3安装路径)
    ln -s /usr/local/python3/bin/gunicorn /usr/local/bin/gunicorn
    +ln -s /usr/local/python3/bin/celery /usr/local/bin/celery
    +

    1.9 脚本安装过程报错,出现格式问题

    使用docker方式部署项目时,提示

    fatal: 无法访问 'https://git.code.tencent.com/TCA/tca-tools/tca_lib.git/': URL using bad/illegal format or missing URL.
    +Download lib failed
    +

    该如何处理。

    出错原因可能是Windows系统、和macOs系统、linux系统的行分隔符不同,可以先查看当前文件的换行符是 CRLF 还是LF, 如果要部署在Windows系统系统上,行分隔符应该为CRLF格式,部署在linux和macOS系统预期是LF格式,如果不一致需要进行手动修改。

    修改方式可以选择: 1、使用pycharm打开项目,依次点击”File”->”Settings”->”Editor”->”Code Style”->”General” 在面板中,可以找到”Line separator”选项,根据要部署的系统选择行分隔符格式。 2、也可以使用dos2unix、unix2dos等转换命令,例如从Windows系统打包到Linux系统,当前行分隔符为CRLF,需要对脚本执行 dos2unix fileName指令进行转换 ,注意使用该指令前需要先进行安装。

    完成以上操作之后再对代码进行打包,即可部署运行。

    2. 服务启动与初始化

    2.1 服务占用端口异常

    TCA 本地部署启动后,会监听多个端口:

    • web服务:80
    • nginx服务:8000
    • main服务:8001
    • analysis服务:8002
    • login服务:8003
    • file-nginx服务:8004
    • file服务:8804
    • scmproxy服务:8009

    如果出现端口占用冲突,建议采用以下方式解决:

    1. 调整其他程序监听的端口号,避免跟上述TCA服务的端口号出现冲突
    2. 采用Docker-Compose方式启动TCA,仅监听80端口

    不推荐调整TCA指定服务的端口号,需要调整多处配置,以及可能会影响到后续服务的升级

    2.2 服务输出日志找不到

    本地部署输出的日志位置:

    1. main服务输出的日志目录:server/projects/main/log
      • 服务启动日志:server/projects/main/log/gunicorn_error.log
      • 服务接收请求日志:server/projects/main/log/gunicorn_access.log
      • Celery Worker启动日志(处理异步任务):server/projects/main/nohup_worker.out
      • Celery Beat启动日志(启动定时任务):server/projects/main/nohup_beat.out
      • 服务运行日志:server/projects/main/log/codedog.log
      • Celery Worker运行日志:server/projects/main/log/main_celery.log
      • Celery Beat运行日志:server/projects/main/log/main_beat.log
    2. analysis服务输出的日志目录:server/projects/analysis/log
      • 服务启动日志:server/projects/analysis/log/gunicorn_error.log
      • Celery Worker启动日志:server/projects/analysis/nohup.out
      • 服务接收请求日志:server/projects/analysis/log/gunicorn_access.log
      • 服务运行日志:server/projects/analysis/log/codedog.log
      • Celery Worker运行日志(处理结果入库):server/projects/analysis/log/celery.log
    3. login服务输出的日志目录:server/projects/login/log
      • 服务启动日志:server/projects/login/log/gunicorn_error.log
      • 服务接收请求日志:server/projects/login/log/gunicorn_access.log
      • 服务运行日志:server/projects/login/log/codedog.log
    4. file服务输出的日志目录:server/projects/file/log
      • 服务启动日志:server/projects/file/log/gunicorn_error.log
      • 服务接收请求日志:server/projects/file/log/gunicorn_access.log
      • 服务运行日志:server/projects/file/log/codedog_file.log
    5. scmproxy服务输出的日志目录:server/projects/scmproxy/logs
      • 服务启动日志:server/projects/scmproxy/nohup.out
      • 服务运行日志:server/projects/scmproxy/logs/scmproxy.log

    2.3 服务启动失败

    1. 启动服务报错 json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
      • 检查config.ini文件和codedog.ini文件是否按照json格式正确填写
      • 如果config.ini文件中的 【SERVER_URL】已正确填写,则检查codedog.ini文件中是否有填写codedog_env配置项。如果有填写,往往因为填写有误(比如URL缺少最后的/)导致报错。建议直接删除codedog.ini文件的codedog_env配置项(config.ini已配置【SERVER_URL】,无需重复配置),再尝试重启服务。

    3. 平台使用

    3.1 平台登录的默认账号密码是什么?

    默认账号: CodeDog,密码: admin

    3.2 平台默认的API Token是什么?

    默认Token是0712b895f30c5e958ec71a7c22e1b1a2ad1d5c6b

    如果在平台上刷新了CodeDog用户的Token,需要将刷新后的Token填写到以下文件中:

    1. server/scripts/config.sh文件
      • 更新CODEDOG_TOKENFILE_SERVER_TOKEN变量的值(3个位置)
    2. server/dockerconfs/.env.local文件
      • 更新CODEDOG_TOKENFILE_SERVER_TOKEN变量的值(3个位置)

    然后重启服务。

    1. 本地部署:

      cd server/
      +./scripts/deploy.sh start
      +
    2. docker-compose部署:

      $ docker-compose stop
      +# 稍等片刻
      +$ docker-compose up -d
      +

    3.3 代码库登记出错,出现代码库及账号不匹配

    该错误出现可能有以下几个原因:

    `,42),D=e("li",null,"账号密码不准确或登记的代码库地址不存在",-1),j=e("code",null,"github",-1),N={href:"https://github.com/settings/tokens",target:"_blank",rel:"noopener noreferrer"},A=e("code",null,"personal access token",-1),O=c("
  • scmproxy服务启动失败
    • 本地部署:执行ps aux | grep proxyserver看看是否有python proxyserver.py执行进程,如果不存在可以看一下server/projects/scmproxy/nohup.out看看启动失败的原因
    • docker-compose部署:在项目根目录执行docker-compose ps看看scmproxy容器是否正常启动,如果没有启动,可以执行docker-compose logs scmproxy看看启动失败的原因
  • scmproxy所在的机器/容器因为网络问题无法访问对应的代码库
    • 可以手动在机器/容器中执行git clone xxxx(xxx表示待登记的代码库),检查看看是否能够正常拉取
  • scmproxy所在的机器git版本较低,出现unknown option `local` 错误
    • 可以升级机器上的git版本,目前工具支持最低的git版本为1.8.3.1
  • ",3),F=c(`

    3.3.2 代码库登记成功后,开启第一次代码分析时,出现代码库及账号不匹配

    该错误出现可能有以下几个原因:

    1. 代码仓库地址不支持https访问,但分析时请求的https访问
      • 修改 .docker_temp/configs/config.sh, 将HTTPS_CLONE_FLAG调整为false, 然后重启容器docker restart tca-services

    3.4 查看问题文件提示获取代码信息耗时较久,请稍后再试

    出现该提示的原因是,代码库偏大或clone代码库时间较长,可以稍等一会再刷新重试

    3.5 客户端访问文件服务器,提示method(upload_file) call fails on error: Expecting value: line 1 column 1 (char 0)

    出现这种错误,可能是本地配置异常或token配置有问题,检查方式如下:

    1. 检查客户端的config.ini文件配置的URL是否为当前Server部署的地址:(xxx需要调整为实际的路径)

      [SERVER_URL]
      +URL=http://xxx/server/main/
      +[FILE_SERVER]
      +URL=http:/xxx/server/files/
      +

      如果xxx不一致需要调整为一致

      注: xxx地址与在浏览器访问平台的xxx地址是一致的,不需要区分端口

    2. 检查客户端访问Server是否能通:

      curl -v http://xxx/server/main/
      +

      如果不通,则需要检查客户端机器访问Server机器是否有网络限制

    3. 检查当前在codedog.ini-[config]tokenconfig.ini文件配置的[FILE_SERVER]TOKEN是否一致,如果不一致需要调整为一致

    4. 检查用户CodeDogToken是否被刷新了然后没有更新到配置文件中

    3.6 客户端访问文件服务器,提示Connection timed out

    本地客户端执行过程提示method (upload file) call fails on error: <urlopen error [Errno 110] Connection timed out> 该如何处理? 一般情况下,这个问题是客户端与Server之间网络不通导致,可以检查一下是否有防火墙限制或者配置的URL是内部IP或地址,可以通过以下方式检查

    1. 检查客户端的config.ini文件配置的URL是否为当前Server部署的地址:(xxx需要调整为实际的路径)

      [SERVER_URL]
      +URL=http://xxx/server/main/
      +[FILE_SERVER]
      +URL=http:/xxx/server/files/
      +
    2. 检查客户端访问Server是否能通:

      curl -v http://xxx/server/main/
      +

      如果不通,则需要检查客户端机器访问Server机器是否有网络限制

    3.7 任务执行结果异常,提示第三方依赖文件服务器异常

    出现该错误提示,一般是访问文件器出错或文件服务器本身有问题,可以通过以下方式检查: 需要检查analysis-worker的日志(本地部署:server/projects/analysis/log/celery.log,docker-compose部署:docker-compose exec analysis-worker /bin/bash进入容器后访问log/celery.log查看具体错误原因

    如果提示no route to host可能是当前机器/容器无法访问当前宿主机的IP,可以检查一下当前防火墙的设置,是否限制了analysis-worker来源的访问

    3.8 客户端执行时提示工具(xxx)扫描进程为空,请联系管理员配置工具进程!

    出现该错误提示,一般是Server未进行初始化,可以通过执行以下命令初始化后再启动测试

    • 本地部署:cd server && ./scripts/deploy.sh init
    • docker-compose部署:./compose_init.sh

    CodeAnalysis仓库文件问题

    1. clone到本地时相关md文件内资源图片无法显示

    为防止国内用户访问CodeAnalysis Github首页时图片资源加载失败,目前各个md文件中的图片资源引用地址调整增加了URL前缀https://tencent.github.io/CodeAnalysis/

    用户下载代码库到本地后,发现无法访问资源文件时,请检查本地网络是否能够连通外网,如果无法连通外网,可以在文档引入资源地址中进行相对路径替换,调整各个资源文件的链接。

    • 对于根目录下的md文件,直接删除URL前缀即可:

      例如在https://tencent.github.io/CodeAnalysis/media/homepage.png这个链接可以调整为media/homepage.png

    • 对于其他目录下的md文件,删除URL前缀后,需调整文件相对路径链接:

      例如对于doc/client.md, 需将https://tencent.github.io/CodeAnalysis/media/clientConfigIni.png这个链接调整为../media/clientConfigIni.png

    `,22);function U(P,I){const r=a("RouterLink"),n=a("router-link"),d=a("ExternalLinkIcon");return t(),p("div",null,[h,e("div",m,[v,b,e("p",null,[o("如果您遇到任何未在此处列出的部署或使用问题,请在 GitHub issue 系统中进行搜索。如果仍未找到该错误消息,您可以通过"),i(r,{to:"/zh/community/joingroup.html"},{default:l(()=>[o("社区")]),_:1}),o("提出问题,获得帮助。")])]),e("nav",g,[e("ul",null,[e("li",null,[i(n,{to:"#server常见问题与处理方法"},{default:l(()=>[o("Server常见问题与处理方法")]),_:1}),e("ul",null,[e("li",null,[i(n,{to:"#_1-环境部署"},{default:l(()=>[o("1. 环境部署")]),_:1}),e("ul",null,[e("li",null,[i(n,{to:"#_1-1-pypi下载超时或失败"},{default:l(()=>[o("1.1 pypi下载超时或失败")]),_:1})]),e("li",null,[i(n,{to:"#_1-2-docker未安装或版本过低"},{default:l(()=>[o("1.2 Docker未安装或版本过低")]),_:1})]),e("li",null,[i(n,{to:"#_1-3-docker-compose启动失败"},{default:l(()=>[o("1.3 Docker-Compose启动失败")]),_:1})]),e("li",null,[i(n,{to:"#_1-4-docker镜像源下载超时或失败"},{default:l(()=>[o("1.4 Docker镜像源下载超时或失败")]),_:1})]),e("li",null,[i(n,{to:"#_1-5-python安装或执行失败"},{default:l(()=>[o("1.5 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l=JSON.parse('{"key":"v-7fa74610","path":"/zh/guide/%E6%8F%92%E4%BB%B6/Jenkins_Plugin.html","title":"Jenkins插件使用说明","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"使用前准备","slug":"使用前准备","link":"#使用前准备","children":[{"level":3,"title":"获取Jenkins插件","slug":"获取jenkins插件","link":"#获取jenkins插件","children":[]},{"level":3,"title":"在Jenkins安装插件","slug":"在jenkins安装插件","link":"#在jenkins安装插件","children":[]},{"level":3,"title":"完善启动客户端的环境","slug":"完善启动客户端的环境","link":"#完善启动客户端的环境","children":[]}]},{"level":2,"title":"使用插件","slug":"使用插件","link":"#使用插件","children":[{"level":3,"title":"在 TCA 创建团队和项目","slug":"在-tca-创建团队和项目","link":"#在-tca-创建团队和项目","children":[]},{"level":3,"title":"配置Jenkins环境变量","slug":"配置jenkins环境变量","link":"#配置jenkins环境变量","children":[]},{"level":3,"title":"配置 TCA 插件","slug":"配置-tca-插件","link":"#配置-tca-插件","children":[]},{"level":3,"title":"启动构建并查看结果","slug":"启动构建并查看结果","link":"#启动构建并查看结果","children":[]}]},{"level":2,"title":"设置质量门禁","slug":"设置质量门禁","link":"#设置质量门禁","children":[{"level":3,"title":"可视化界面使用质量门禁","slug":"可视化界面使用质量门禁","link":"#可视化界面使用质量门禁","children":[]},{"level":3,"title":"pipeline脚本使用质量门禁","slug":"pipeline脚本使用质量门禁","link":"#pipeline脚本使用质量门禁","children":[]}]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/guide/插件/Jenkins_Plugin.md"}');export{l as data}; diff --git a/assets/Jenkins_Plugin.html-9a064624.js b/assets/Jenkins_Plugin.html-9a064624.js new file mode 100644 index 000000000..950391b79 --- /dev/null +++ b/assets/Jenkins_Plugin.html-9a064624.js @@ -0,0 +1,41 @@ +import{_ as d,a as c,b as r,c as t,d as l,e as o,f as h,g as p,h as u,i as m,j as b,k as v,l as g}from"./jenkins_shell-131e349c.js";import{_,r as x,o as A,c as f,a,b as e,d as s,e as i}from"./app-2a91d8ab.js";const C={},k=i('

    提示

    以下说明以 Jenkins 2.361.2 版本为例。

    使用前准备

    获取Jenkins插件

    Jenkins插件有以下两种获取方式:

    方式一:在 TCA 源码的plugin/jenkins_plugin目录下,执行命令mvn package -DskipTests,打包完成后进入target目录会看到tca_jenkins_plugin.hpi 的安装包。

    ',6),T=a("strong",null,"方式二",-1),y=a("code",null,"jenkins_plugin.hpi",-1),I={href:"https://github.com/Tencent/CodeAnalysis/releases",target:"_blank",rel:"noopener noreferrer"},j=i('

    在Jenkins安装插件

    在Jenkins中通过【Manage Plugin】-> 【Advanced】->【Deploy plugin】的方式选择 Jenkins_plugin.hpi文件上传安装,并重启Jenkins。

    最终在【Installed】里搜索出【TCA】代表插件安装成功。

    完善启动客户端的环境

    在CodeAnalysis目录下执行代码

    bash ./scripts/base/install_bin.sh
    +

    client目录下的config.ini文件中的<Server IP地址>替换为部署的开源版TCA的IP地址(可包含端口号)

    使用插件

    在 TCA 创建团队和项目

    如已创建后待使用的团队和项目,可跳过此步。

    进入已部署好的TCA页面,点击【创建团队】,成功后【创建项目】。

    配置Jenkins环境变量

    进入Jenkins设置界面,在【Manage Jenkins】->【Configure System】->【Global properties】中添加环境变量:
    Name:PYTHONPATH Value:xxxx(路径不包含python3)
    Value:GITPATH Value:xxxx(路径不包含git)

    配置 TCA 插件

    方式一:可视化界面配置 TCA 插件

    创建一个构建任务,配置代码库信息,进入Jenkins,通过【New Item】创建一个空白任务,在任务配置中【Source Code Management】配置待分析的代码库地址和凭证。
    Repository URL: 填入远端仓库地址
    Credentials: 添加仓库的用户名和密码作为凭证,如果是公开仓库,可以不设置仓库凭证

    在构建任务的【Build】中选择【TCA】插件并配置以下参数:

    CodeAnalysis目录绝对路径: 拉取到本地的CodeAnalysis开源仓库目录的绝对路径(例如:/data/CodeAnalysis/)
    团队ID: 在 TCA 中创建的团队的标识ID,可在TCA【团队概览】中获取“团队唯一标识”
    项目名称: 在 TCA 中创建的项目的标识ID,可在TCA【项目概览】中获取“项目唯一标识”
    Token: 在 TCA 的【个人中心】->【个人令牌】中获取
    分支名称: 需要扫描的代码分支名称
    语言类别: 项目需要扫描的语言
    分析方案模板ID: 需要使用的分析方案模板ID,在分析方案模板的“基础属性”中获取,将根据此模板创建分析方案(选填)
    分析方案名称: 指定创建出来的分析方案的名称(选填)
    全量扫描: 不勾选默认启动增量扫描
    质量门禁: 设置质量门禁值,配置和使用参考 设置质量门禁

    配置完成后点击【Save】保存。

    方式二:pipeline语法配置 TCA 插件

    ',23),q={href:"https://github.com/Tencent/CodeAnalysis/issues/1150",target:"_blank",rel:"noopener noreferrer"},J=i(`
    pipeline{
    +  agent any
    +
    +    stages{
    +      stage('Build'){
    +        steps{
    +            TCA(codeAnalysisPath: '/data/CodeAnalysis/', teamId: 'xxxx', projectName: 'demo', token: 'xxxxxxxxxxxx', branchName: 'master', languageType: 'Java', refSchemeID: '1', scanPlan: 'model', threshold: '90', total:true)
    +        }
    +      }
    +    }
    +}
    +
    +

    codeAnalysisPath: 拉取到本地的CodeAnalysis开源仓库目录的绝对路径(例如:/data/CodeAnalysis/)
    teamId:团队ID
    projectName: 项目名称
    token: 在 TCA 的【个人中心】->【个人令牌】中获取
    branchName: 需要扫描的代码分支名称
    languageType: 项目需要扫描的语言
    refSchemeID: 需要使用的分析方案模板ID,在分析方案模板的“基础属性”中获取,将根据此模板创建分析方案(选填)
    scanPlan: 指定创建出来的分析方案的名称(选填)
    threshold: 设置质量门禁值
    total: 是否全量扫描,填ture为全量扫描,不填或填false为增量扫描

    启动构建并查看结果

    点击【Build Now】启动构建。
    进入构建任务,在【Console Output】中查看执行过程。
    执行完成后,可在下方看到代码分析的结果链接,也可在【代码分析报告】中获取代码分析的json报告。

    设置质量门禁

    在上述 TCA 插件配置部分填写质量门禁参数,需要填写一个整数,即当前分支的扫描问题量大于该质量门禁值时,判断为不通过;否则为通过。完成后会将TCA结果状态(success|failure)输出到工作空间下的tca_threshold.txt文件中,供后续步骤判断和终止流水线。

    可视化界面使用质量门禁

    在TCA插件后增加shell命令步骤,输入以下脚本内容:

    tca_status=\`cat tca_threshold.txt\`
    +if [ "\${tca_status}" == "success" ]; then
    +  echo ">> tca scan pass!"
    +else
    +  echo ">> tca scan fail! exit code 255"
    +  exit 255
    +fi
    +

    当质量门禁不通过时,会终止流水线(退出码:255)。

    pipeline脚本使用质量门禁

    以下是pipeline脚本使用质量门禁进行相应操作的示例,你可以在if和else部分写入你想要运行的脚本

    pipeline{
    +  agent any
    +
    +    stages{
    +      stage('Build'){
    +        steps{
    +            TCA(codeAnalysisPath: '/data/CodeAnalysis/', teamId: 'xxxx', projectName: 'demo', token: 'xxxxxxxxxxxx', branchName: 'master', languageType: 'Java', refSchemeID: '1', scanPlan: 'model', threshold: '90', total:true)
    +            script{
    +                def tca_status = readFile('tca_threshold.txt')
    +                if (tca_status == "success") {
    +                    echo ">> tca scan pass!"
    +                } else {
    +                    echo ">> tca scan fail! exit code 255"
    +                    error("TCA scan failed. Terminating pipeline.")
    +                }
    +            }
    +        }
    +      }
    +    }
    +}
    +
    `,14);function N(P,D){const n=x("ExternalLinkIcon");return A(),f("div",null,[k,a("p",null,[T,e(":从TCA release 安装包中,获取"),y,e(":"),a("a",I,[e("https://github.com/Tencent/CodeAnalysis/releases"),s(n)]),e("。")]),j,a("p",null,[e("在步骤中添加TCA插件参数配置语句,下面的配置语句可作为参考;注意:如果是release版本v1.11.0及之前的老版本(包含源代码构建生成和release获取)插件,语法参数略有差别,请参考"),a("a",q,[e("issue1150"),s(n)])]),J])}const S=_(C,[["render",N],["__file","Jenkins_Plugin.html.vue"]]);export{S as default}; diff --git a/assets/Jenkins_Plugin.html-c5bed20a.js b/assets/Jenkins_Plugin.html-c5bed20a.js new file mode 100644 index 000000000..1d6a88fa4 --- /dev/null +++ b/assets/Jenkins_Plugin.html-c5bed20a.js @@ -0,0 +1,41 @@ +import{_ as d,a as c,b as r,c as t,d as l,e as o,f as h,g as p,h as u,i as m,j as b,k as v,l as g}from"./jenkins_shell-131e349c.js";import{_,r as x,o as A,c as f,a,b as e,d as s,e as i}from"./app-2a91d8ab.js";const C={},k=i('

    Jenkins插件使用说明

    TIP

    以下说明以 Jenkins 2.361.2 版本为例。

    使用前准备

    获取Jenkins插件

    Jenkins插件有以下两种获取方式:

    方式一:在 TCA 源码的plugin/jenkins_plugin目录下,执行命令mvn package -DskipTests,打包完成后进入target目录会看到tca_jenkins_plugin.hpi 的安装包。

    ',6),T=a("strong",null,"方式二",-1),y=a("code",null,"jenkins_plugin.hpi",-1),I={href:"https://github.com/Tencent/CodeAnalysis/releases",target:"_blank",rel:"noopener noreferrer"},j=i('

    在Jenkins安装插件

    在Jenkins中通过【Manage Plugin】-> 【Advanced】->【Deploy plugin】的方式选择 Jenkins_plugin.hpi文件上传安装,并重启Jenkins。

    最终在【Installed】里搜索出【TCA】代表插件安装成功。

    完善启动客户端的环境

    在CodeAnalysis目录下执行代码

    bash ./scripts/base/install_bin.sh
    +

    client目录下的config.ini文件中的<Server IP地址>替换为部署的开源版TCA的IP地址(可包含端口号)

    使用插件

    在 TCA 创建团队和项目

    如已创建后待使用的团队和项目,可跳过此步。

    进入已部署好的TCA页面,点击【创建团队】,成功后【创建项目】。

    配置Jenkins环境变量

    进入Jenkins设置界面,在【Manage Jenkins】->【Configure System】->【Global properties】中添加环境变量:
    Name:PYTHONPATH Value:xxxx(路径不包含python3)
    Value:GITPATH Value:xxxx(路径不包含git)

    配置 TCA 插件

    方式一:可视化界面配置 TCA 插件

    创建一个构建任务,配置代码库信息,进入Jenkins,通过【New Item】创建一个空白任务,在任务配置中【Source Code Management】配置待分析的代码库地址和凭证。
    Repository URL: 填入远端仓库地址
    Credentials: 添加仓库的用户名和密码作为凭证,如果是公开仓库,可以不设置仓库凭证

    在构建任务的【Build】中选择【TCA】插件并配置以下参数:

    CodeAnalysis目录绝对路径: 拉取到本地的CodeAnalysis开源仓库目录的绝对路径(例如:/data/CodeAnalysis/)
    团队ID: 在 TCA 中创建的团队的标识ID,可在TCA【团队概览】中获取“团队唯一标识”
    项目名称: 在 TCA 中创建的项目的标识ID,可在TCA【项目概览】中获取“项目唯一标识”
    Token: 在 TCA 的【个人中心】->【个人令牌】中获取
    分支名称: 需要扫描的代码分支名称
    语言类别: 项目需要扫描的语言
    分析方案模板ID: 需要使用的分析方案模板ID,在分析方案模板的“基础属性”中获取,将根据此模板创建分析方案(选填)
    分析方案名称: 指定创建出来的分析方案的名称(选填)
    全量扫描: 不勾选默认启动增量扫描
    质量门禁: 设置质量门禁值,配置和使用参考 设置质量门禁

    配置完成后点击【Save】保存。

    方式二:pipeline语法配置 TCA 插件

    ',23),q={href:"https://github.com/Tencent/CodeAnalysis/issues/1150",target:"_blank",rel:"noopener noreferrer"},J=i(`
    pipeline{
    +  agent any
    +
    +    stages{
    +      stage('Build'){
    +        steps{
    +            TCA(codeAnalysisPath: '/data/CodeAnalysis/', teamId: 'xxxx', projectName: 'demo', token: 'xxxxxxxxxxxx', branchName: 'master', languageType: 'Java', refSchemeID: '1', scanPlan: 'model', threshold: '90', total:true)
    +        }
    +      }
    +    }
    +}
    +
    +

    codeAnalysisPath: 拉取到本地的CodeAnalysis开源仓库目录的绝对路径(例如:/data/CodeAnalysis/)
    teamId:团队ID
    projectName: 项目名称
    token: 在 TCA 的【个人中心】->【个人令牌】中获取
    branchName: 需要扫描的代码分支名称
    languageType: 项目需要扫描的语言
    refSchemeID: 需要使用的分析方案模板ID,在分析方案模板的“基础属性”中获取,将根据此模板创建分析方案(选填)
    scanPlan: 指定创建出来的分析方案的名称(选填)
    threshold: 设置质量门禁值
    total: 是否全量扫描,填ture为全量扫描,不填或填false为增量扫描

    启动构建并查看结果

    点击【Build Now】启动构建。
    进入构建任务,在【Console Output】中查看执行过程。
    执行完成后,可在下方看到代码分析的结果链接,也可在【代码分析报告】中获取代码分析的json报告。

    设置质量门禁

    在上述 TCA 插件配置部分填写质量门禁参数,需要填写一个整数,即当前分支的扫描问题量大于该质量门禁值时,判断为不通过;否则为通过。完成后会将TCA结果状态(success|failure)输出到工作空间下的tca_threshold.txt文件中,供后续步骤判断和终止流水线。

    可视化界面使用质量门禁

    在TCA插件后增加shell命令步骤,输入以下脚本内容:

    tca_status=\`cat tca_threshold.txt\`
    +if [ "\${tca_status}" == "success" ]; then
    +  echo ">> tca scan pass!"
    +else
    +  echo ">> tca scan fail! exit code 255"
    +  exit 255
    +fi
    +

    当质量门禁不通过时,会终止流水线(退出码:255)。

    pipeline脚本使用质量门禁

    以下是pipeline脚本使用质量门禁进行相应操作的示例,你可以在if和else部分写入你想要运行的脚本

    pipeline{
    +  agent any
    +
    +    stages{
    +      stage('Build'){
    +        steps{
    +            TCA(codeAnalysisPath: '/data/CodeAnalysis/', teamId: 'xxxx', projectName: 'demo', token: 'xxxxxxxxxxxx', branchName: 'master', languageType: 'Java', refSchemeID: '1', scanPlan: 'model', threshold: '90', total:true)
    +            script{
    +                def tca_status = readFile('tca_threshold.txt')
    +                if (tca_status == "success") {
    +                    echo ">> tca scan pass!"
    +                } else {
    +                    echo ">> tca scan fail! exit code 255"
    +                    error("TCA scan failed. Terminating pipeline.")
    +                }
    +            }
    +        }
    +      }
    +    }
    +}
    +
    `,14);function P(N,D){const n=x("ExternalLinkIcon");return A(),f("div",null,[k,a("p",null,[T,e(":从TCA release 安装包中,获取"),y,e(":"),a("a",I,[e("https://github.com/Tencent/CodeAnalysis/releases"),s(n)]),e("。")]),j,a("p",null,[e("在步骤中添加TCA插件参数配置语句,下面的配置语句可作为参考;注意:如果是release版本v1.11.0及之前的老版本(包含源代码构建生成和release获取)插件,语法参数略有差别,请参考"),a("a",q,[e("issue1150"),s(n)])]),J])}const S=_(C,[["render",P],["__file","Jenkins_Plugin.html.vue"]]);export{S as default}; diff --git a/assets/Jenkins_Plugin.html-d89ff0ac.js b/assets/Jenkins_Plugin.html-d89ff0ac.js new file mode 100644 index 000000000..c7dcb654c --- /dev/null +++ b/assets/Jenkins_Plugin.html-d89ff0ac.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-356f7475","path":"/en/guide/%E6%8F%92%E4%BB%B6/Jenkins_Plugin.html","title":"Jenkins插件使用说明","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"使用前准备","slug":"使用前准备","link":"#使用前准备","children":[{"level":3,"title":"获取Jenkins插件","slug":"获取jenkins插件","link":"#获取jenkins插件","children":[]},{"level":3,"title":"在Jenkins安装插件","slug":"在jenkins安装插件","link":"#在jenkins安装插件","children":[]},{"level":3,"title":"完善启动客户端的环境","slug":"完善启动客户端的环境","link":"#完善启动客户端的环境","children":[]}]},{"level":2,"title":"使用插件","slug":"使用插件","link":"#使用插件","children":[{"level":3,"title":"在 TCA 创建团队和项目","slug":"在-tca-创建团队和项目","link":"#在-tca-创建团队和项目","children":[]},{"level":3,"title":"配置Jenkins环境变量","slug":"配置jenkins环境变量","link":"#配置jenkins环境变量","children":[]},{"level":3,"title":"配置 TCA 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r}from"./manage_oauth_02-fc66f681.js";import{_ as a,r as s,o as i,c,a as t,b as e,d as n}from"./app-2a91d8ab.js";const h={},u=t("h1",{id:"oauth管理",tabindex:"-1"},[t("a",{class:"header-anchor",href:"#oauth管理","aria-hidden":"true"},"#"),e(" OAuth管理")],-1),_=t("li",null,[t("p",null,[e("可"),t("strong",null,"创建"),e("、"),t("strong",null,"编辑"),e("、"),t("strong",null,"清除"),e("主流代码托管平台的Oauth应用配置,为使用者提供OAuth授权支持。")])],-1),p=t("p",null,"支持平台及如何创建OAuth应用:",-1),d={href:"https://code.tencent.com/help/oauth2/",target:"_blank",rel:"noopener noreferrer"},m={href:"https://docs.github.com/cn/developers/apps/building-oauth-apps/creating-an-oauth-app",target:"_blank",rel:"noopener noreferrer"},f={href:"https://gitee.com/api/v5/oauth_doc#/list-item-3",target:"_blank",rel:"noopener noreferrer"},g={href:"https://docs.gitlab.com/ee/integration/oauth_provider.html",target:"_blank",rel:"noopener 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"b/assets/OAuth\347\256\241\347\220\206.html-5142cdcf.js" @@ -0,0 +1 @@ +import{_ as l,a as r}from"./manage_oauth_02-fc66f681.js";import{_ as a,r as s,o as i,c,a as t,b as e,d as n}from"./app-2a91d8ab.js";const h={},u=t("h1",{id:"oauth管理",tabindex:"-1"},[t("a",{class:"header-anchor",href:"#oauth管理","aria-hidden":"true"},"#"),e(" OAuth管理")],-1),_=t("li",null,[t("p",null,[e("可"),t("strong",null,"创建"),e("、"),t("strong",null,"编辑"),e("、"),t("strong",null,"清除"),e("主流代码托管平台的Oauth应用配置,为使用者提供OAuth授权支持。")])],-1),p=t("p",null,"支持平台及如何创建OAuth应用:",-1),d={href:"https://code.tencent.com/help/oauth2/",target:"_blank",rel:"noopener noreferrer"},m={href:"https://docs.github.com/cn/developers/apps/building-oauth-apps/creating-an-oauth-app",target:"_blank",rel:"noopener noreferrer"},f={href:"https://gitee.com/api/v5/oauth_doc#/list-item-3",target:"_blank",rel:"noopener noreferrer"},g={href:"https://docs.gitlab.com/ee/integration/oauth_provider.html",target:"_blank",rel:"noopener 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    操作步骤

    1. 修改脚本api_invoke.py的内部参数,填写个人令牌mytoken

    2. 部署代码分析服务

    3. 进入项目根目录

    4. 检查requests 模块是否安装,如未安装,可执行下列安装指令。

    pip install requests\n

    5. 设置参数method,选择要执行的api接口,并根据接口添加所需参数。

    6. 执行脚本python ScriptsAPI.py

    方法总览

    method类型
    create_repository创建代码库
    update_scheme_settings设置指定代码库的指定方案的代码度量配置
    create_project创建分析项目
    create_scans启动任务
    get_scan_cons轮询任务结果
    get_overview获取分析概览
    get_issues查看扫描问题列表
    get_issue_detail查看问题详情
    get_ccissues查看指定项目的圈复杂度问题列表
    get_dupfiles查看指定项目的重复文件列表

    API详细信息

    一、创建代码库

    1. url请求

    POST /server/main/api/orgs/<org_sid>/teams/<team_name>/repos/\n

    2. 参数说明

    脚本参数
    字段类型描述
    methodstr调用的方法名,create_repository
    base_urlstr基础路径
    org_sidstr项目组名称
    team_namestr团队唯一标识
    scm_urlstr代码库地址
    scm_typestr填git或svn
    脚本内部参数
    Key类型Value
    Authorizationstr"Token 当前user的token"

    3. 操作示例

    python ScriptsAPI.py --base_url=${TCA_BASE_URL} --method=create_repository --org_sid=${TCA_ORG_SID} --team_name=${TCA_TEAM_NAME} --scm_url=${TCA_SCM_URL} --scm_type=${TCA_SCM_TYPE}\n

    二、设置指定代码库的指定方案的代码度量配置

    1. url请求

    PUT /server/main/api/orgs/<org_sid>/teams/<team_name>/repos/<repo_id>/schemes/<scheme_id>/metricconf/\n

    2. 参数说明

    脚本参数
    字段类型描述
    methodstr调用的方法名,update_scheme_settings
    base_urlstr基础路径
    org_sidstr项目组名称
    team_namestr团队唯一标识
    repo_idstr代码库id
    scheme_idstr扫描方案id
    脚本内部参数
    Key类型Value
    Authorizationstr"Token 当前user的token"

    3. 操作示例

    python ScriptsAPI.py --base_url=${TCA_BASE_URL} --method=update_scheme_settings --org_sid=${TCA_ORG_SID} --team_name=${TCA_TEAM_NAME} --repo_id=${TCA_REPO_ID} --scheme_id=${TCA_SCHEME_ID}\n

    三、创建分析项目

    1. url请求

    POST /server/main/api/orgs/<org_sid>/teams/<team_name>/repos/<repo_id>/projects/\n

    2. 参数说明

    脚本参数
    字段类型描述
    methodstr调用的方法名,create_repository
    base_urlstr基础路径
    org_sidstr项目组名称
    team_namestr团队唯一标识
    repo_idstr代码库id
    scan_scheme_idint和global_scheme_id二选一进行填写,当前代码库的扫描方案编号
    global_scheme_idint和scan_scheme_id二选一进行填写,扫描方案模板编号
    branchstr分支
    脚本内部参数
    Key类型Value
    Authorizationstr"Token 当前user的token"

    3. 操作示例

    python ScriptsAPI.py --base_url=${TCA_BASE_URL} --method=create_project --org_sid=${TCA_ORG_SID} --team_name=${TCA_TEAM_NAME} --repo_id=${TCA_REPO_ID} --scan_scheme_id=${TCA_SCAN_SCHEME_ID} --branch=${TCA_BRANCH}\n

    四、启动任务

    1. url请求

    POST /server/main/api/orgs/<org_sid>/teams/<team_name>/repos/<repo_id>/projects/<project_id>/scans/create/\n

    2. 参数说明

    脚本参数
    字段类型描述
    methodstr调用的方法名,create_scans
    base_urlstr基础路径
    org_sidstr项目组名称
    team_namestr团队唯一标识
    repo_idstr代码库id
    project_idstr分析项目id
    脚本内部参数
    Key类型Value
    Authorizationstr"Token 当前user的token"

    3. 操作示例

    python ScriptsAPI.py --base_url=${TCA_BASE_URL} --method=create_scans --org_sid=${TCA_ORG_SID} --team_name=${TCA_TEAM_NAME} --repo_id=${TCA_REPO_ID} --project_id=${TCA_PROJECT_ID}\n

    五、轮询任务结果

    1. url请求

    GET /server/main/api/orgs/<org_sid>/teams/<team_name>/repos/<repo_id>/projects/<project_id>/jobs/<job_id>/detail/\n

    2. 参数说明

    脚本参数
    字段类型描述
    methodstr调用的方法名,get_scan_cons
    base_urlstr基础路径
    org_sidstr项目组名称
    team_namestr团队唯一标识
    repo_idstr代码库id
    project_idstr分析项目id
    脚本内部参数
    Key类型Value
    Authorizationstr"Token 当前user的token"
    sleeptimeint轮询间隔的时间

    3. 操作示例

    python ScriptsAPI.py --base_url=${TCA_BASE_URL} --method=get_scan_cons --org_sid=${TCA_ORG_SID} --team_name=${TCA_TEAM_NAME} --repo_id=${TCA_REPO_ID} --project_id=${TCA_PROJECT_ID} --job_id=${TCA_JOB_ID}\n

    六、获取分析概览

    1. url请求

    GET /server/analysis/api/orgs/<org_sid>/teams/<team_name>/repos/<repo_id>/projects/<project_id>/overview/\n

    2. 参数说明

    脚本参数
    字段类型描述
    methodstr调用的方法名,get_overview
    base_urlstr基础路径
    org_sidstr项目组名称
    team_namestr团队唯一标识
    repo_idstr代码库id
    project_idstr分析项目id
    脚本内部参数
    Key类型Value
    Authorizationstr"Token 当前user的token"

    3. 操作示例

    python ScriptsAPI.py --base_url=${TCA_BASE_URL} --method=get_overview --org_sid=${TCA_ORG_SID} --team_name=${TCA_TEAM_NAME} --repo_id=${TCA_REPO_ID} --project_id=${TCA_PROJECT_ID}\n

    七、查看扫描问题列表

    1. url请求

    GET /server/analysis/api/orgs/<org_sid>/teams/<team_name>/repos/<repo_id>/projects/<project_id>/codelint/issues/\n

    2. 参数说明

    脚本参数
    字段类型描述
    methodstr调用的方法名,get_issues
    base_urlstr基础路径
    org_sidstr项目组名称
    team_namestr团队唯一标识
    repo_idstr代码库id
    project_idstr分析项目id
    脚本内部参数
    Key类型Value
    Authorizationstr"Token 当前user的token"

    3. 操作示例

    python ScriptsAPI.py --base_url=${TCA_BASE_URL} --method=get_issues --org_sid=${TCA_ORG_SID} --team_name=${TCA_TEAM_NAME} --repo_id=${TCA_REPO_ID} --project_id=${TCA_PROJECT_ID}\n

    八、查看问题详情

    1. url请求

    GET /server/analysis/api/orgs/<org_sid>/teams/<team_name>/repos/<repo_id>/projects/<project_id>/codelint/issues/<issue_id>/\n

    2. 参数说明

    脚本参数
    字段类型描述
    methodstr调用的方法名,get_issue_detail
    base_urlstr基础路径
    org_sidstr项目组名称
    team_namestr团队唯一标识
    repo_idstr代码库id
    project_idstr分析项目id
    issue_idstr问题id
    脚本内部参数
    Key类型Value
    Authorizationstr"Token 当前user的token"

    3. 操作示例

    python ScriptsAPI.py --base_url=${TCA_BASE_URL} --method=get_issue_detail --org_sid=${TCA_ORG_SID} --team_name=${TCA_TEAM_NAME} --repo_id=${TCA_REPO_ID} --project_id=${TCA_PROJECT_ID} --issue_id=${TCA_ISSUE_ID}\n

    九、查看指定项目的圈复杂度问题列表

    1. url请求

    GET /server/analysis/api/orgs/<org_sid>/teams/<team_name>/repos/<repo_id>/projects/<project_id>/codemetric/ccissues/\n

    2. 参数说明

    脚本参数
    字段类型描述
    methodstr调用的方法名,get_ccissues
    base_urlstr基础路径
    org_sidstr项目组名称
    team_namestr团队唯一标识
    repo_idstr代码库id
    project_idstr分析项目id
    脚本内部参数
    Key类型Value
    Authorizationstr"Token 当前user的token"

    3. 操作示例

    python ScriptsAPI.py --base_url=${TCA_BASE_URL} --method=get_ccissues --org_sid=${TCA_ORG_SID} --team_name=${TCA_TEAM_NAME} --repo_id=${TCA_REPO_ID} --project_id=${TCA_PROJECT_ID}\n

    十、查看指定项目的重复文件列表

    1. url请求

    GET /server/analysis/api/orgs/<org_sid>/teams/<team_name>/repos/<repo_id>/projects/<project_id>/codemetric/dupfiles/\n

    2. 参数说明

    脚本参数
    字段类型描述
    methodstr调用的方法名,get_dupfiles
    base_urlstr基础路径
    org_sidstr项目组名称
    team_namestr团队唯一标识
    repo_idstr代码库id
    project_idstr分析项目id
    脚本内部参数
    Key类型Value
    Authorizationstr"Token 当前user的token"

    3. 操作示例

    python ScriptsAPI.py --base_url=${TCA_BASE_URL} --method=get_dupfiles --org_sid=${TCA_ORG_SID} --team_name=${TCA_TEAM_NAME} --repo_id=${TCA_REPO_ID} --project_id=${TCA_PROJECT_ID}\n
    ',112),h=[i];function s(n,l){return d(),e("div",null,h)}const c=t(r,[["render",s],["__file","ScriptAPI_guide.html.vue"]]);export{c as default}; diff --git a/assets/TCA-Armory-C1.html-0c581c74.js b/assets/TCA-Armory-C1.html-0c581c74.js new file mode 100644 index 000000000..6b546b096 --- /dev/null +++ b/assets/TCA-Armory-C1.html-0c581c74.js @@ -0,0 +1,86 @@ +import{_ as d,r as s,o as t,c as h,a as e,b as a,d as r,e as i}from"./app-2a91d8ab.js";const c={},l=i('

    TCA-Armory-C1 使用手册

    TCA-Armory-C1 属于 TCA 的增强分析模块。

    功能

    • Objective-C/C++ 代码规范
    • C/C++/Java 代码安全

    准备

    ',5),o={href:"https://tencent.github.io/CodeAnalysis/zh/quickStarted/enhanceDeploy.html",target:"_blank",rel:"noopener noreferrer"},u=i('

    规则介绍

    CmdInject

    概述

    支持的语言:Java

    ',4),b={href:"https://owasp.org/www-community/attacks/Command_Injection",target:"_blank",rel:"noopener noreferrer"},v=e("code",null,"命令行注入漏洞",-1),p=i(`

    参数设置

    示例

    void bad(HttpServletRequest req, HttpServletResponse resp){
    +    String cmd = req.getParameter("cmd");
    +    Runtime rt = Runtime.getRuntime();
    +    rt.exec(cmd); // 触发规则
    +}
    +

    修复建议

    需要评估 childprocess 等模块执行命令的使用,应限定或校验命令和参数的内容。

    PathTraversal

    概述

    支持的语言:Java

    `,9),m={href:"https://owasp.org/www-community/attacks/Path_Traversal",target:"_blank",rel:"noopener noreferrer"},g=e("code",null,"路径穿越漏洞",-1),f=i(`

    参数设置

    示例

    void bad(HttpServletRequest req, HttpServletResponse resp){
    +    String image = req.getParameter("image");
    +    File file = new File("resources/images/", image); // 触发规则
    +
    +    if (!file.exists()) {
    +        return Response.status(Status.NOT_FOUND).build();
    +    }
    +
    +    return Response.ok().entity(new FileInputStream(file)).build();
    +}
    +

    修复建议

    按业务需求,使用白名单限定后缀范围,校验并限定文件路径范围。

    SQLInject

    概述

    支持的语言:Java

    `,9),x={href:"https://en.wikipedia.org/wiki/SQL_injection",target:"_blank",rel:"noopener noreferrer"},C=e("code",null,"SQL注入漏洞",-1),j=i(`

    参数设置

    示例

    void bad(HttpServletRequest req, HttpServletResponse resp){
    +    String id = req.getParameter("id");
    +    Connection conn = null;
    +    Statement statement = null;
    +    ResultSet rs = null;
    +
    +    Class.forName("com.mysql.cj.jdbc.Driver");
    +    conn = DriverManager.getConnection("jdbc:mysql://localhost:3306/sec_sql", "root", "admin888");
    +    String sql = "select * from userinfo where id = " + id;
    +    statement = conn.createStatement();
    +    statement.executeUpdate(sql); // 触发规则
    +}
    +

    修复建议

    SQL 语句默认使用预编译并绑定变量,使用安全的ORM操作。

    SSRF

    概述

    支持的语言:Java

    `,9),_={href:"https://en.wikipedia.org/wiki/Server-side_request_forgery",target:"_blank",rel:"noopener noreferrer"},S=e("code",null,"服务端请求伪造漏洞 SSRF(Server-side request forgery)",-1),q=i(`

    参数设置

    示例

    import org.springframework.context.annotation.Configuration;
    +import org.springframework.security.config.annotation.web.builders.HttpSecurity;
    +import org.springframework.security.config.annotation.web.configuration.EnableWebSecurity;
    +import org.springframework.security.config.annotation.web.configuration.WebSecurityConfigurerAdapter;
    +
    +@EnableWebSecurity
    +@Configuration
    +public class WebSecurityConfig extends WebSecurityConfigurerAdapter {
    +  @Override
    +  protected void configure(HttpSecurity http) throws Exception {
    +    http
    +      .csrf(csrf ->
    +        csrf.disable() // 触发规则
    +      );
    +  }
    +}
    +

    修复建议

    限定访问网络资源地址范围,请求网络资源应加密传输。

    XSS

    概述

    支持的语言:Java

    `,9),O={href:"https://en.wikipedia.org/wiki/Cross-site_scripting",target:"_blank",rel:"noopener noreferrer"},P=e("code",null,"跨站脚本攻击漏洞 XSS(Cross-site scripting)",-1),y=i(`

    参数设置

    示例

    void bad(HttpServletRequest req, HttpServletResponse resp){
    +    String id = request.getParameter("id") != null ? request.getParameter("id") : "0";
    +    Doc doc = getdetailsById(id);    
    +    byte[] b = doc.getUploaded();        
    +    try {
    +        response.setContentType("APPLICATION/OCTET-STREAM");
    +        String disHeader = "Attachment;Filename=" + doc.getName();
    +        response.setHeader("Content-Disposition", disHeader);
    +        ServletOutputStream out = response.getOutputStream();
    +        out.print(b); // 触发规则
    +    }
    +}
    +

    修复建议

    在输出所有用户可控的数据时, 对数据做转义或者编码。

    概述

    检查 Objective-C/C++ 代码文件的copyright信息。

    参数设置

    示例

    // 触发规则
    +@interface Test : NSObject
    +@end
    +
    +

    修复建议

    在代码文件头部添加 Copyright 信息。比如:

    // Copyright (c) xxxx Tencent. All rights reserved.
    +//
    +
    +@interface Test : NSObject
    +@end
    +
    +

    ObjectiveC/Indent

    概述

    检查 Objective-C/C++ 代码文件的缩进。

    参数设置

    • IndentStyle: 可选 spaces 空格 和 tabs \\t ,默认是 spaces;
    • IndentSize: 缩进长度,默认是4。

    参考以下示例:

    IndentStyle=spaces
    +IndentSize=4
    +

    示例

    for (int i = 0; i < 10; i++) {
    +  doThings(); // 触发规则
    +}
    +

    修复建议

    调整为对应的缩进方式。比如默认是4个空格缩进。

    for (int i = 0; i < 10; i++) {
    +    doThings(); // 触发规则
    +}
    +

    ObjectiveC/MaxLinesPerFunction

    概述

    检查 Objective-C/C++ 代码中超出行数长度阈值的函数。

    参数设置

    • LineThreshold: 方法长度阈值,默认是100。

    参考以下示例:

    LineThreshold=100
    +

    示例

    修复建议

    可以基于单一职责原则拆分函数,缩减函数长度。

    ObjectiveC/MissingDocInterface

    概述

    检查 Objective-C/C++ 代码中 interface 是否有注释信息。

    参数设置

    示例

    修复建议

    为 inferface 增加注释。

    ObjectiveC/MissingDocProperty

    概述

    检查 Objective-C/C++ 代码中 Property 是否有注释信息。

    参数设置

    示例

    修复建议

    为 Property 增加注释。

    ObjectiveC/MissingDocProtocol

    概述

    检查 Objective-C/C++ 代码中 Protocol 是否有注释信息。

    参数设置

    示例

    修复建议

    为 Protocol 增加注释。

    ObjectiveC/ParameterCount

    概述

    检查 Objective-C/C++ 代码中方法的参数个数是否超过阈值。

    参数设置

    • Max: 参数个数阈值,默认是6。

    参考以下示例:

    Max=6
    +

    示例

    无。

    修复建议

    参数个数越少越好,多于 6 个参数时建议考虑重构。

    ObjectiveC/ClassNaming

    概述

    检查 Objective-C/C++ 代码中 class 名称是否符合命名规范。

    参数设置

    • ClassCase: 命名格式,可选 CamelCase 首字母小写驼峰式、UPPER_CASE 全部大写、LOWER_CASE 全部小写、camelBack 首字母大写驼峰式,默认是 CamelCase。

    参考以下示例:

    ClassCase=CamelCase
    +

    示例

    无。

    修复建议

    修改 class 名称符合命名规范。

    ObjectiveC/FunctionNaming

    概述

    检查 Objective-C/C++ 代码中 Function 名称是否符合命名规范。

    参数设置

    • FunctionCase: 命名格式,可选 CamelCase 首字母小写驼峰式、UPPER_CASE 全部大写、LOWER_CASE 全部小写、camelBack 首字母大写驼峰式,默认是 camelBack。

    参考以下示例:

    FunctionCase=camelBack
    +

    示例

    无。

    修复建议

    修改 Function 名称符合命名规范。

    ObjectiveC/GlobalVariableNaming

    概述

    检查 Objective-C/C++ 代码中 GlobalVariable 名称是否符合命名规范。

    参数设置

    • GlobalVariablePrefix: 全局变量前缀,默认是 g
    • GlobalVariableCase: 命名格式,可选 CamelCase 首字母小写驼峰式、UPPER_CASE 全部大写、LOWER_CASE 全部小写、camelBack 首字母大写驼峰式,默认是 camelBack。

    参考以下示例:

    GlobalVariablePrefix=g
    +GlobalVariableCase=camelBack
    +

    示例

    无。

    修复建议

    修改 GlobalVariable 名称符合命名规范。

    ObjectiveC/LocalVariableNaming

    概述

    检查 Objective-C/C++ 代码中 LocalVariable 名称是否符合命名规范。

    参数设置

    • LocalVariableCase: 命名格式,可选 CamelCase 首字母小写驼峰式、UPPER_CASE 全部大写、LOWER_CASE 全部小写、camelBack 首字母大写驼峰式,默认是 camelBack。

    参考以下示例:

    LocalVariableCase=camelBack
    +

    示例

    无。

    修复建议

    修改 LocalVariable 名称符合命名规范。

    ObjectiveC/MacroNaming

    概述

    检查 Objective-C/C++ 代码中 Macro 名称是否符合命名规范。

    参数设置

    • MacroCase: 命名格式,可选 CamelCase 首字母小写驼峰式、UPPER_CASE 全部大写、LOWER_CASE 全部小写、camelBack 首字母大写驼峰式,默认是 UPPER_CASE。

    参考以下示例:

    MacroCase=UPPER_CASE
    +

    示例

    无。

    修复建议

    修改 Macro 名称符合命名规范。

    ObjectiveC/MethodNaming

    概述

    检查 Objective-C/C++ 代码中 Method 名称是否符合命名规范。

    参数设置

    • MethodCase: 命名格式,可选 CamelCase 首字母小写驼峰式、UPPER_CASE 全部大写、LOWER_CASE 全部小写、camelBack 首字母大写驼峰式,默认是 camelBack。

    参考以下示例:

    MethodCase=camelBack
    +

    示例

    无。

    修复建议

    修改 Method 名称符合命名规范。

    ObjectiveC/ParameterNaming

    概述

    检查 Objective-C/C++ 代码中 Parameter 名称是否符合命名规范。

    参数设置

    • ParameterCase: 命名格式,可选 CamelCase 首字母小写驼峰式、UPPER_CASE 全部大写、LOWER_CASE 全部小写、camelBack 首字母大写驼峰式,默认是 camelBack。

    参考以下示例:

    ParameterCase=camelBack
    +

    示例

    无。

    修复建议

    修改 Parameter 名称符合命名规范。

    ObjectiveC/MaxLineLength

    概述

    检查 Objective-C/C++ 代码中一行长度是否超过阈值。

    参数设置

    • tabWidth: 缩进宽度,默认是4;
    • MaxLineLength: 长度阈值,默认是150。

    参考以下示例:

    tabWidth=4
    +MaxLineLength=150
    +

    示例

    无。

    修复建议

    通过换行、优化逻辑等方式,缩减一行长度。

    `,165);function k(E,R){const n=s("ExternalLinkIcon");return t(),h("div",null,[l,e("ul",null,[e("li",null,[a("需要事先部署好 "),e("a",o,[a("CLS 微服务"),r(n)])])]),u,e("p",null,[a("CmdInject 规则用于检查代码中是否存在"),e("a",b,[v,r(n)]),a("。 当使用 childprocess 等模块执行命令时,拼接了用户可控的输入,会导致命令执行漏洞。攻击者利用漏洞可以控制目标主机或者容器。")]),p,e("p",null,[a("PathTraversal 规则用于检查代码中是否存在"),e("a",m,[g,r(n)]),a("。 操作文件时,应该限定文件的路径范围,如果拼接用户输入到文件路径,可能导致路径穿越漏洞。攻击者利用漏洞可以访问到文件系统上的任意文件,这可能导致信息泄漏等问题。")]),f,e("p",null,[a("SQLInject 规则用于检查代码中是否存在"),e("a",x,[C,r(n)]),a("。 错误的拼接用户可控的值到 sql 语句,可能导致 sql 注入漏洞。攻击者可以修改 sql 语法来更改查询的目标或结果,泄露数据库敏感信息,也可以使用SQL文件操作攻击底层Web服务器。如果使用该 sql 查询进行授权认证,攻击者还可以用于提权。")]),j,e("p",null,[a("SSRF 规则用于检查代码中是否存在"),e("a",_,[S,r(n)]),a("。 攻击者在未能取得服务器所有权限时,利用服务器漏洞以服务器的身份发送一条构造好的请求给服务器所在内网。")]),q,e("p",null,[a("XSS 规则用于检查代码中是否存在"),e("a",O,[P,r(n)]),a("。 如果 web 页面在动态展示数据时使用了用户的输入内容,没有对输入的内容过滤或者进行转义,黑客可以通过参数传入恶意代码,当用户浏览该页面时恶意代码会被执行。")]),y])}const L=d(c,[["render",k],["__file","TCA-Armory-C1.html.vue"]]);export{L as default}; diff --git a/assets/TCA-Armory-C1.html-5177716b.js b/assets/TCA-Armory-C1.html-5177716b.js new file mode 100644 index 000000000..9426295ab --- /dev/null +++ b/assets/TCA-Armory-C1.html-5177716b.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-1cf92e76","path":"/en/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E5%B7%A5%E5%85%B7/TCA-Armory-C1.html","title":"TCA-Armory-C1 使用手册","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"功能","slug":"功能","link":"#功能","children":[]},{"level":2,"title":"准备","slug":"准备","link":"#准备","children":[]},{"level":2,"title":"规则介绍","slug":"规则介绍","link":"#规则介绍","children":[{"level":3,"title":"CmdInject","slug":"cmdinject","link":"#cmdinject","children":[]},{"level":3,"title":"PathTraversal","slug":"pathtraversal","link":"#pathtraversal","children":[]},{"level":3,"title":"SQLInject","slug":"sqlinject","link":"#sqlinject","children":[]},{"level":3,"title":"SSRF","slug":"ssrf","link":"#ssrf","children":[]},{"level":3,"title":"XSS","slug":"xss","link":"#xss","children":[]},{"level":3,"title":"ObjectiveC/Copyright","slug":"objectivec-copyright","link":"#objectivec-copyright","children":[]},{"level":3,"title":"ObjectiveC/Indent","slug":"objectivec-indent","link":"#objectivec-indent","children":[]},{"level":3,"title":"ObjectiveC/MaxLinesPerFunction","slug":"objectivec-maxlinesperfunction","link":"#objectivec-maxlinesperfunction","children":[]},{"level":3,"title":"ObjectiveC/MissingDocInterface","slug":"objectivec-missingdocinterface","link":"#objectivec-missingdocinterface","children":[]},{"level":3,"title":"ObjectiveC/MissingDocProperty","slug":"objectivec-missingdocproperty","link":"#objectivec-missingdocproperty","children":[]},{"level":3,"title":"ObjectiveC/MissingDocProtocol","slug":"objectivec-missingdocprotocol","link":"#objectivec-missingdocprotocol","children":[]},{"level":3,"title":"ObjectiveC/ParameterCount","slug":"objectivec-parametercount","link":"#objectivec-parametercount","children":[]},{"level":3,"title":"ObjectiveC/ClassNaming","slug":"objectivec-classnaming","link":"#objectivec-classnaming","children":[]},{"level":3,"title":"ObjectiveC/FunctionNaming","slug":"objectivec-functionnaming","link":"#objectivec-functionnaming","children":[]},{"level":3,"title":"ObjectiveC/GlobalVariableNaming","slug":"objectivec-globalvariablenaming","link":"#objectivec-globalvariablenaming","children":[]},{"level":3,"title":"ObjectiveC/LocalVariableNaming","slug":"objectivec-localvariablenaming","link":"#objectivec-localvariablenaming","children":[]},{"level":3,"title":"ObjectiveC/MacroNaming","slug":"objectivec-macronaming","link":"#objectivec-macronaming","children":[]},{"level":3,"title":"ObjectiveC/MethodNaming","slug":"objectivec-methodnaming","link":"#objectivec-methodnaming","children":[]},{"level":3,"title":"ObjectiveC/ParameterNaming","slug":"objectivec-parameternaming","link":"#objectivec-parameternaming","children":[]},{"level":3,"title":"ObjectiveC/MaxLineLength","slug":"objectivec-maxlinelength","link":"#objectivec-maxlinelength","children":[]}]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/guide/代码检查/工具/TCA-Armory-C1.md"}');export{e as data}; diff --git a/assets/TCA-Armory-C1.html-9ef6db9a.js b/assets/TCA-Armory-C1.html-9ef6db9a.js new file mode 100644 index 000000000..49875d89b --- /dev/null +++ b/assets/TCA-Armory-C1.html-9ef6db9a.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-7c0ce2de","path":"/zh/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E5%B7%A5%E5%85%B7/TCA-Armory-C1.html","title":"TCA-Armory-C1 使用手册","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"功能","slug":"功能","link":"#功能","children":[]},{"level":2,"title":"准备","slug":"准备","link":"#准备","children":[]},{"level":2,"title":"规则介绍","slug":"规则介绍","link":"#规则介绍","children":[{"level":3,"title":"CmdInject","slug":"cmdinject","link":"#cmdinject","children":[]},{"level":3,"title":"PathTraversal","slug":"pathtraversal","link":"#pathtraversal","children":[]},{"level":3,"title":"SQLInject","slug":"sqlinject","link":"#sqlinject","children":[]},{"level":3,"title":"SSRF","slug":"ssrf","link":"#ssrf","children":[]},{"level":3,"title":"XSS","slug":"xss","link":"#xss","children":[]},{"level":3,"title":"ObjectiveC/Copyright","slug":"objectivec-copyright","link":"#objectivec-copyright","children":[]},{"level":3,"title":"ObjectiveC/Indent","slug":"objectivec-indent","link":"#objectivec-indent","children":[]},{"level":3,"title":"ObjectiveC/MaxLinesPerFunction","slug":"objectivec-maxlinesperfunction","link":"#objectivec-maxlinesperfunction","children":[]},{"level":3,"title":"ObjectiveC/MissingDocInterface","slug":"objectivec-missingdocinterface","link":"#objectivec-missingdocinterface","children":[]},{"level":3,"title":"ObjectiveC/MissingDocProperty","slug":"objectivec-missingdocproperty","link":"#objectivec-missingdocproperty","children":[]},{"level":3,"title":"ObjectiveC/MissingDocProtocol","slug":"objectivec-missingdocprotocol","link":"#objectivec-missingdocprotocol","children":[]},{"level":3,"title":"ObjectiveC/ParameterCount","slug":"objectivec-parametercount","link":"#objectivec-parametercount","children":[]},{"level":3,"title":"ObjectiveC/ClassNaming","slug":"objectivec-classnaming","link":"#objectivec-classnaming","children":[]},{"level":3,"title":"ObjectiveC/FunctionNaming","slug":"objectivec-functionnaming","link":"#objectivec-functionnaming","children":[]},{"level":3,"title":"ObjectiveC/GlobalVariableNaming","slug":"objectivec-globalvariablenaming","link":"#objectivec-globalvariablenaming","children":[]},{"level":3,"title":"ObjectiveC/LocalVariableNaming","slug":"objectivec-localvariablenaming","link":"#objectivec-localvariablenaming","children":[]},{"level":3,"title":"ObjectiveC/MacroNaming","slug":"objectivec-macronaming","link":"#objectivec-macronaming","children":[]},{"level":3,"title":"ObjectiveC/MethodNaming","slug":"objectivec-methodnaming","link":"#objectivec-methodnaming","children":[]},{"level":3,"title":"ObjectiveC/ParameterNaming","slug":"objectivec-parameternaming","link":"#objectivec-parameternaming","children":[]},{"level":3,"title":"ObjectiveC/MaxLineLength","slug":"objectivec-maxlinelength","link":"#objectivec-maxlinelength","children":[]}]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/guide/代码检查/工具/TCA-Armory-C1.md"}');export{e as data}; diff --git a/assets/TCA-Armory-C1.html-f73f9e95.js b/assets/TCA-Armory-C1.html-f73f9e95.js new file mode 100644 index 000000000..6b546b096 --- /dev/null +++ b/assets/TCA-Armory-C1.html-f73f9e95.js @@ -0,0 +1,86 @@ +import{_ as d,r as s,o as t,c as h,a as e,b as a,d as r,e as i}from"./app-2a91d8ab.js";const c={},l=i('

    TCA-Armory-C1 使用手册

    TCA-Armory-C1 属于 TCA 的增强分析模块。

    功能

    • Objective-C/C++ 代码规范
    • C/C++/Java 代码安全

    准备

    ',5),o={href:"https://tencent.github.io/CodeAnalysis/zh/quickStarted/enhanceDeploy.html",target:"_blank",rel:"noopener noreferrer"},u=i('

    规则介绍

    CmdInject

    概述

    支持的语言:Java

    ',4),b={href:"https://owasp.org/www-community/attacks/Command_Injection",target:"_blank",rel:"noopener noreferrer"},v=e("code",null,"命令行注入漏洞",-1),p=i(`

    参数设置

    示例

    void bad(HttpServletRequest req, HttpServletResponse resp){
    +    String cmd = req.getParameter("cmd");
    +    Runtime rt = Runtime.getRuntime();
    +    rt.exec(cmd); // 触发规则
    +}
    +

    修复建议

    需要评估 childprocess 等模块执行命令的使用,应限定或校验命令和参数的内容。

    PathTraversal

    概述

    支持的语言:Java

    `,9),m={href:"https://owasp.org/www-community/attacks/Path_Traversal",target:"_blank",rel:"noopener noreferrer"},g=e("code",null,"路径穿越漏洞",-1),f=i(`

    参数设置

    示例

    void bad(HttpServletRequest req, HttpServletResponse resp){
    +    String image = req.getParameter("image");
    +    File file = new File("resources/images/", image); // 触发规则
    +
    +    if (!file.exists()) {
    +        return Response.status(Status.NOT_FOUND).build();
    +    }
    +
    +    return Response.ok().entity(new FileInputStream(file)).build();
    +}
    +

    修复建议

    按业务需求,使用白名单限定后缀范围,校验并限定文件路径范围。

    SQLInject

    概述

    支持的语言:Java

    `,9),x={href:"https://en.wikipedia.org/wiki/SQL_injection",target:"_blank",rel:"noopener noreferrer"},C=e("code",null,"SQL注入漏洞",-1),j=i(`

    参数设置

    示例

    void bad(HttpServletRequest req, HttpServletResponse resp){
    +    String id = req.getParameter("id");
    +    Connection conn = null;
    +    Statement statement = null;
    +    ResultSet rs = null;
    +
    +    Class.forName("com.mysql.cj.jdbc.Driver");
    +    conn = DriverManager.getConnection("jdbc:mysql://localhost:3306/sec_sql", "root", "admin888");
    +    String sql = "select * from userinfo where id = " + id;
    +    statement = conn.createStatement();
    +    statement.executeUpdate(sql); // 触发规则
    +}
    +

    修复建议

    SQL 语句默认使用预编译并绑定变量,使用安全的ORM操作。

    SSRF

    概述

    支持的语言:Java

    `,9),_={href:"https://en.wikipedia.org/wiki/Server-side_request_forgery",target:"_blank",rel:"noopener noreferrer"},S=e("code",null,"服务端请求伪造漏洞 SSRF(Server-side request forgery)",-1),q=i(`

    参数设置

    示例

    import org.springframework.context.annotation.Configuration;
    +import org.springframework.security.config.annotation.web.builders.HttpSecurity;
    +import org.springframework.security.config.annotation.web.configuration.EnableWebSecurity;
    +import org.springframework.security.config.annotation.web.configuration.WebSecurityConfigurerAdapter;
    +
    +@EnableWebSecurity
    +@Configuration
    +public class WebSecurityConfig extends WebSecurityConfigurerAdapter {
    +  @Override
    +  protected void configure(HttpSecurity http) throws Exception {
    +    http
    +      .csrf(csrf ->
    +        csrf.disable() // 触发规则
    +      );
    +  }
    +}
    +

    修复建议

    限定访问网络资源地址范围,请求网络资源应加密传输。

    XSS

    概述

    支持的语言:Java

    `,9),O={href:"https://en.wikipedia.org/wiki/Cross-site_scripting",target:"_blank",rel:"noopener noreferrer"},P=e("code",null,"跨站脚本攻击漏洞 XSS(Cross-site scripting)",-1),y=i(`

    参数设置

    示例

    void bad(HttpServletRequest req, HttpServletResponse resp){
    +    String id = request.getParameter("id") != null ? request.getParameter("id") : "0";
    +    Doc doc = getdetailsById(id);    
    +    byte[] b = doc.getUploaded();        
    +    try {
    +        response.setContentType("APPLICATION/OCTET-STREAM");
    +        String disHeader = "Attachment;Filename=" + doc.getName();
    +        response.setHeader("Content-Disposition", disHeader);
    +        ServletOutputStream out = response.getOutputStream();
    +        out.print(b); // 触发规则
    +    }
    +}
    +

    修复建议

    在输出所有用户可控的数据时, 对数据做转义或者编码。

    概述

    检查 Objective-C/C++ 代码文件的copyright信息。

    参数设置

    示例

    // 触发规则
    +@interface Test : NSObject
    +@end
    +
    +

    修复建议

    在代码文件头部添加 Copyright 信息。比如:

    // Copyright (c) xxxx Tencent. All rights reserved.
    +//
    +
    +@interface Test : NSObject
    +@end
    +
    +

    ObjectiveC/Indent

    概述

    检查 Objective-C/C++ 代码文件的缩进。

    参数设置

    • IndentStyle: 可选 spaces 空格 和 tabs \\t ,默认是 spaces;
    • IndentSize: 缩进长度,默认是4。

    参考以下示例:

    IndentStyle=spaces
    +IndentSize=4
    +

    示例

    for (int i = 0; i < 10; i++) {
    +  doThings(); // 触发规则
    +}
    +

    修复建议

    调整为对应的缩进方式。比如默认是4个空格缩进。

    for (int i = 0; i < 10; i++) {
    +    doThings(); // 触发规则
    +}
    +

    ObjectiveC/MaxLinesPerFunction

    概述

    检查 Objective-C/C++ 代码中超出行数长度阈值的函数。

    参数设置

    • LineThreshold: 方法长度阈值,默认是100。

    参考以下示例:

    LineThreshold=100
    +

    示例

    修复建议

    可以基于单一职责原则拆分函数,缩减函数长度。

    ObjectiveC/MissingDocInterface

    概述

    检查 Objective-C/C++ 代码中 interface 是否有注释信息。

    参数设置

    示例

    修复建议

    为 inferface 增加注释。

    ObjectiveC/MissingDocProperty

    概述

    检查 Objective-C/C++ 代码中 Property 是否有注释信息。

    参数设置

    示例

    修复建议

    为 Property 增加注释。

    ObjectiveC/MissingDocProtocol

    概述

    检查 Objective-C/C++ 代码中 Protocol 是否有注释信息。

    参数设置

    示例

    修复建议

    为 Protocol 增加注释。

    ObjectiveC/ParameterCount

    概述

    检查 Objective-C/C++ 代码中方法的参数个数是否超过阈值。

    参数设置

    • Max: 参数个数阈值,默认是6。

    参考以下示例:

    Max=6
    +

    示例

    无。

    修复建议

    参数个数越少越好,多于 6 个参数时建议考虑重构。

    ObjectiveC/ClassNaming

    概述

    检查 Objective-C/C++ 代码中 class 名称是否符合命名规范。

    参数设置

    • ClassCase: 命名格式,可选 CamelCase 首字母小写驼峰式、UPPER_CASE 全部大写、LOWER_CASE 全部小写、camelBack 首字母大写驼峰式,默认是 CamelCase。

    参考以下示例:

    ClassCase=CamelCase
    +

    示例

    无。

    修复建议

    修改 class 名称符合命名规范。

    ObjectiveC/FunctionNaming

    概述

    检查 Objective-C/C++ 代码中 Function 名称是否符合命名规范。

    参数设置

    • FunctionCase: 命名格式,可选 CamelCase 首字母小写驼峰式、UPPER_CASE 全部大写、LOWER_CASE 全部小写、camelBack 首字母大写驼峰式,默认是 camelBack。

    参考以下示例:

    FunctionCase=camelBack
    +

    示例

    无。

    修复建议

    修改 Function 名称符合命名规范。

    ObjectiveC/GlobalVariableNaming

    概述

    检查 Objective-C/C++ 代码中 GlobalVariable 名称是否符合命名规范。

    参数设置

    • GlobalVariablePrefix: 全局变量前缀,默认是 g
    • GlobalVariableCase: 命名格式,可选 CamelCase 首字母小写驼峰式、UPPER_CASE 全部大写、LOWER_CASE 全部小写、camelBack 首字母大写驼峰式,默认是 camelBack。

    参考以下示例:

    GlobalVariablePrefix=g
    +GlobalVariableCase=camelBack
    +

    示例

    无。

    修复建议

    修改 GlobalVariable 名称符合命名规范。

    ObjectiveC/LocalVariableNaming

    概述

    检查 Objective-C/C++ 代码中 LocalVariable 名称是否符合命名规范。

    参数设置

    • LocalVariableCase: 命名格式,可选 CamelCase 首字母小写驼峰式、UPPER_CASE 全部大写、LOWER_CASE 全部小写、camelBack 首字母大写驼峰式,默认是 camelBack。

    参考以下示例:

    LocalVariableCase=camelBack
    +

    示例

    无。

    修复建议

    修改 LocalVariable 名称符合命名规范。

    ObjectiveC/MacroNaming

    概述

    检查 Objective-C/C++ 代码中 Macro 名称是否符合命名规范。

    参数设置

    • MacroCase: 命名格式,可选 CamelCase 首字母小写驼峰式、UPPER_CASE 全部大写、LOWER_CASE 全部小写、camelBack 首字母大写驼峰式,默认是 UPPER_CASE。

    参考以下示例:

    MacroCase=UPPER_CASE
    +

    示例

    无。

    修复建议

    修改 Macro 名称符合命名规范。

    ObjectiveC/MethodNaming

    概述

    检查 Objective-C/C++ 代码中 Method 名称是否符合命名规范。

    参数设置

    • MethodCase: 命名格式,可选 CamelCase 首字母小写驼峰式、UPPER_CASE 全部大写、LOWER_CASE 全部小写、camelBack 首字母大写驼峰式,默认是 camelBack。

    参考以下示例:

    MethodCase=camelBack
    +

    示例

    无。

    修复建议

    修改 Method 名称符合命名规范。

    ObjectiveC/ParameterNaming

    概述

    检查 Objective-C/C++ 代码中 Parameter 名称是否符合命名规范。

    参数设置

    • ParameterCase: 命名格式,可选 CamelCase 首字母小写驼峰式、UPPER_CASE 全部大写、LOWER_CASE 全部小写、camelBack 首字母大写驼峰式,默认是 camelBack。

    参考以下示例:

    ParameterCase=camelBack
    +

    示例

    无。

    修复建议

    修改 Parameter 名称符合命名规范。

    ObjectiveC/MaxLineLength

    概述

    检查 Objective-C/C++ 代码中一行长度是否超过阈值。

    参数设置

    • tabWidth: 缩进宽度,默认是4;
    • MaxLineLength: 长度阈值,默认是150。

    参考以下示例:

    tabWidth=4
    +MaxLineLength=150
    +

    示例

    无。

    修复建议

    通过换行、优化逻辑等方式,缩减一行长度。

    `,165);function k(E,R){const n=s("ExternalLinkIcon");return t(),h("div",null,[l,e("ul",null,[e("li",null,[a("需要事先部署好 "),e("a",o,[a("CLS 微服务"),r(n)])])]),u,e("p",null,[a("CmdInject 规则用于检查代码中是否存在"),e("a",b,[v,r(n)]),a("。 当使用 childprocess 等模块执行命令时,拼接了用户可控的输入,会导致命令执行漏洞。攻击者利用漏洞可以控制目标主机或者容器。")]),p,e("p",null,[a("PathTraversal 规则用于检查代码中是否存在"),e("a",m,[g,r(n)]),a("。 操作文件时,应该限定文件的路径范围,如果拼接用户输入到文件路径,可能导致路径穿越漏洞。攻击者利用漏洞可以访问到文件系统上的任意文件,这可能导致信息泄漏等问题。")]),f,e("p",null,[a("SQLInject 规则用于检查代码中是否存在"),e("a",x,[C,r(n)]),a("。 错误的拼接用户可控的值到 sql 语句,可能导致 sql 注入漏洞。攻击者可以修改 sql 语法来更改查询的目标或结果,泄露数据库敏感信息,也可以使用SQL文件操作攻击底层Web服务器。如果使用该 sql 查询进行授权认证,攻击者还可以用于提权。")]),j,e("p",null,[a("SSRF 规则用于检查代码中是否存在"),e("a",_,[S,r(n)]),a("。 攻击者在未能取得服务器所有权限时,利用服务器漏洞以服务器的身份发送一条构造好的请求给服务器所在内网。")]),q,e("p",null,[a("XSS 规则用于检查代码中是否存在"),e("a",O,[P,r(n)]),a("。 如果 web 页面在动态展示数据时使用了用户的输入内容,没有对输入的内容过滤或者进行转义,黑客可以通过参数传入恶意代码,当用户浏览该页面时恶意代码会被执行。")]),y])}const L=d(c,[["render",k],["__file","TCA-Armory-C1.html.vue"]]);export{L as default}; diff --git a/assets/TCA-Armory-Q1.html-08aa80f4.js b/assets/TCA-Armory-Q1.html-08aa80f4.js new file mode 100644 index 000000000..f651d0f0f --- /dev/null +++ b/assets/TCA-Armory-Q1.html-08aa80f4.js @@ -0,0 +1,367 @@ +import{_ as e,o as i,c as n,e as d}from"./app-2a91d8ab.js";const l={},a=d(`

    TCA-Armory-Q1工具介绍

    TCA-Armory-Q1, 又名 tca_ql_cpp 主要用于分析Cpp质量问题。

    规则详情

    线程锁检查

    包含规则:

    • missing_lock
    • dead_lock

    在使用多线程对文件全局变量或类成员在进行读写时,工具会对未正确的进行上锁操作和上锁异常而引发死锁的情况进行检查。

    支持的多线程标准库库包括(若有其他库需求可提issue):

    • pthread
    • thread

    missing_lock

    missing_lock 如果发现多线程中某个全局变量在未持有锁便更新时,则会上报错误。

    代码示例

    以下提供一个或多个 missing_loc 案例 在下面代码中,函数 increase1, increase2 皆以将 counter 加到 1000 为目的。如果使用 increase1 函数则有可能多个线程皆在 1000 时进入循环导致最后 counter结果大于 1000

    int counter = 0;
    +std::mutex mtx;  // 保护counter
    +void increase1() {
    +    while (1) {
    +        if (counter <= 1000)
    +            counter++;  // defect: missing_lock
    +        else
    +            break;
    +    }
    +}
    +void increase2() {
    +    while (1) {
    +        mtx.lock();  // example_lock
    +        if (counter <= 1000)
    +            counter++;
    +        else
    +            break;
    +        mtx.unlock();  // example_release
    +    }
    +}
    +

    dead_lock

    dead_lock 如果发现文件内存在 mtx1 -> mtx2 的上锁顺序时,另存在mtx2 -> mtx1 的上锁顺序,视为死锁或存在死锁的可能,则会上报错误。 死锁发生时程序将会卡死无法正常执行。

    规则参数
    • better-lock: True or False 默认为 False
    代码示例

    以下提供一个或多个 dead_lock 案例

    在下面代码中,函数 increase 以将 counter 加到 1000 为目的。但在线程 1 中第一次释放 mtx 后,线程 2 的 mtx 上锁,此时线程1等待线程2释放mtx,线程2等待线程1释放mtx2,形成死锁,程序卡死。

    int counter = 0;
    +std::mutex mtx;
    +std::mutex mtx2;
    +void increase() {
    +    while (1) {
    +        mtx.lock();
    +        mtx2.lock();
    +        mtx.unlock();
    +        mtx.lock();  // defect: dead_lock
    +        if (counter <= 1000)
    +            counter++;
    +        else
    +            break;
    +        mtx2.unlock();
    +        mtx.unlock()
    +    }
    +}
    +

    在下面代码中 线程函数increase1存在mtx -> mtx2 的顺序,increase2顺序为 mtx2 -> mtx;视为出现死锁。

    void increase1() {
    +    while (1) {
    +        mtx.lock();
    +        mtx2.lock();
    +        if (counter <= 1000)
    +            counter++;
    +        else
    +            break;
    +        mtx2.unlock();
    +        mtx.unlock()
    +    }
    +}
    +void increase2() {
    +    while (1) {
    +        mtx2.lock();
    +        mtx.lock();  // defect: dead_lock; 
    +        if (counter <= 1000)
    +            counter++;
    +        else
    +            break;
    +        mtx2.unlock();
    +        mtx.unlock()
    +    }
    +}
    +

    以下案例在better-lock参数为True时将会生效 使用better-lock规则会检查在上锁期间若调用其他函数时将视为可能会出现预期之外的异常,且上锁期间应只做对全局变量操作以提升性能

    void increase1() {
    +    while (1) {
    +        mtx.lock();
    +        if (counter <= 1000)
    +            counter++;
    +        else
    +            break;
    +        read_counter(counter);  // defect: dead_lock
    +        mtx.unlock()
    +    }
    +}
    +void read_counter(counter){
    +    std::cout << counter << std::endl;
    +    do_something_more();
    +}
    +void increase1() {
    +    while (1) {
    +        std::lock_guard<std::mutex> lk(mtx);  // good: 使用lock_guard会自动上锁解锁将不会检查dead_lock
    +        if (counter <= 1000)
    +            counter++;
    +        else
    +            break;
    +        read_counter(counter);
    +    }
    +}
    +

    资源泄漏检查

    包含规则

    • resource_leak

    resource_leak

    resource_leak 在程序申请了资源但并未按时释放时上报错误 目前场景包括:句柄打开时未关闭,指针分配内存后没有及时释放

    代码示例

    以下将提供一个或多个resource_leak案例

    int leak_example1(int c) {
    +    void *p = malloc(10); 
    +    if(c)
    +        return -1; // defect: if c "p" is leaked
    +    free(p);
    +    return 0;
    +}
    +
    +int leak_example2() {
    +    void *p = malloc(10);
    +    void *q = malloc(20);
    +    if(!p || !q)
    +        return -1; // defect: "p" or "q" may be leaked if the other is NULL 
    +    /*...*/
    +    free(q);
    +    free(p);
    +    return 0;
    +}
    +
    +void leak_example3(int c) {
    +    FILE *p = fopen("starwar.anakin", "rb");
    +    if(c)
    +        return;       // defect: leaking file pointer "p"
    +    fclose(p);
    +}
    +

    无效值检查

    包含规则

    • unused_value

    unused_value

    unused_value 检查那些赋予给变量的值是否正确被使用,存在连续两次赋予变量值的情况,视为第一次赋予的值未被正确使用,报出错误。 两次连续赋值可能存在条件控制语句出现错误、变量名拼写错误等情况。

    代码示例

    以下提供一个或多个unused_value案例

    以下函数会因为key的不同去不一样的神明,但实际上 Zeus Hades却永远不会使用到。

    const char* key_value(const int key) {
    +    const char * value = 0;
    +    if (key != 0) {
    +        value = "Zeus";
    +    } else if (key != 1) {
    +        value = "Hades";
    +    } 
    +    if (key != 2) { // Should be 'else if' here.
    +        value = "Poseidon";  // defect: unused_value Zeus Hades  never used
    +    }
    +    else {
    +        value = "Unknow
    +    }
    +    return result;
    +}
    +

    以下继续提供几个unused_value代码

    const char* key_value1(const int key) {
    +    const char * value = 0;
    +    value = "Zeus";  // defect: Zeus never used
    +    if (key == 1) {
    +        value = "Hades;
    +    } else if (key == 2) {
    +        value = "Poseidon";
    +    } else {  // May else need not be here
    +        value = "Unknow";
    +    }
    +    return value
    +}
    +
    +const char* key_value2(const int key) {
    +    const char * value = 0;
    +    value = "Zeus";  // better Zeus used
    +    if (key == 1) {
    +        value = "Hades;
    +    } else if (key == 2) {
    +        value = "Poseidon";
    +    }
    +    return value
    +}
    +
    +const char* key_value3(const int key) {
    +    const char * value = 0;
    +    if (key == 1) {
    +        value = "Hades;
    +    } else {
    +        value = "Poseidon";
    +    }
    +    value = "Zeus";  // defect: Hades Poseidon never used
    +    return value
    +}
    +

    数组溢出检查

    包含规则

    • array_overflow
    • buff_overflow

    array_overflow

    array_overflow 检查数组越界的情况。不正确的缓存区访问可能损坏内存,导致程序崩溃或读取到权限外的内存。

    代码示例

    以下提供一个或多个array_overflow案例

    void foo() {
    +    int array[10];
    +    int i = get();
    +    // i = 9;
    +    if (i > 8 && i <= length(array)) {  // Shoud be i < length(array)
    +        array[i] = 1;  // defect: array[10] overflow
    +    }
    +    array[i] = 1;  // defect: array[10] overflow
    +}
    +
    +
    +void test(int i) {
    +    int n= 10;
    +    char *p = malloc(sizeof(int) * 10);
    +    int y = n;
    +    p[y] = 'a'; // defect: writing to buffer[y] overflow
    +}
    +

    buff_overflow

    buff_overflow 检查strcpy,strcat字符串复制/拼接过程中长度不当导致的溢出, 同样gets scanf函数也视为不安全

    代码示例

    以下提供一个或多个buff_overflow案例

    void overflow1() {
    +
    +    char a[4]={0};
    +        strcpy(a, "Poseidon");  // defect: len("Poseidon") > 4 strncpy is better
    +    return;
    +}
    +
    +void overflow2() {
    +    char s1[10] = "1";
    +    char s2[] = "1234567890";
    +    strcat(s1, s2);  // defect: len(s1 + s2) > 10
    +    // strncat(s1, s2, 6)  // strncat is better
    +    return 0;
    +}
    +
    +

    指针检查

    包含规则

    • func_ret_null
    • func_ret_null_full
    • use_after_free
    • forward_null
    • reverse_null
    • glob_null_pointer

    func_ret_null

    func_ret_null 函数返回值可能为nullpointer,但是调用该函数时指针未经判空便进行使用
    在选用func_ret_null_full 时, 检查器会在项目内全局搜索空指针函数的调用情况,否则只会在相关文件内进行检查。

    代码示例

    以下提供一个或多个func_ret_null代码案例

    在下面代码中test函数中调用get_name可能返回空指针,在后续使用name指针前应该判断是否为空指针

    // name.hpp
    +
    +char* get_name(int id) {
    +    char* name = 0;
    +    if (id == 1) {
    +        name = "Zeus";
    +    } else if (id == 2) {
    +        name = "Hades"
    +    } else {
    +        return nullpointer;
    +    }
    +    return name;
    +}
    +
    +void test(int i) {
    +    char* name = get_name(i);
    +    dosomething(name);  // defect: name may nullpointer should check it
    +    if (name != nullpointer) {
    +        dosomething(name);  // good
    +    }
    +}
    +
    +

    在选用full_ret_null_full时,将会全局分析函数get_name调用情况

    // third.cpp
    +# include "name.h"
    +
    +void name_test(int i) {
    +    char* name = get_name(i);
    +    dosomething(name); // defect
    +}
    +

    use_after_free

    use_after_free 检查当指针已经被释放但在后续仍然使用该指针的情况。

    代码示例

    以下提供一个或多个use_after_free代码案例

    通常情况下已经释放的指针只允许置空或重新指向新的值,不允许存在读取或作为函数参数使用。

    
    +void UAR() {
    +    int* p = new int[];
    +    p = get_array();
    +    dosomething(p);
    +    delete p;
    +    p = NULL;  // allow
    +    p = get_array();  // allow: get array again
    +    delete p;
    +    dosomething(p);  // defect: use as param
    +    std::cout << "p[0] = " << p[0] << std::endl;  // defect: read p
    +}
    +

    forward_null

    forward_null 检查可能导致程序终止或运行时异常的错误。它查找指针或引用被检查是否为 null 或被赋值为 null,且之后被解引用的很多情况。

    规则参数
    • trust_param True or False 默认为 True
    代码示例

    以下提供一个或多个forward_null代码案例

    指针曾经有过检查null的操作则会视为有可能为空指针,之后在未被确认为非空指针情况下直接使用。将会视为forward_null错误

    void forward_null_1() {
    +    int * p;
    +    p = get_int_pointer();
    +    dosomething(p);
    +    if (p == NULL) {
    +        std::cout << "Null Pointer Find" << srd::endl;
    +        // return;      // prefer: if return here
    +    } else {
    +        dosomething(p);     // good: p is not NULL
    +    }
    +    dosomething(p);     // defect forward_null: p may NULL
    +}
    +
    +
    +void forward_null_2(int *p) {
    +    dosomething(p);
    +    if (p == NULL) {
    +        return;
    +    } else {
    +        dosomething(p);     // good: p is not NULL
    +    }
    +    dosomething(p);     // good
    +    ...
    +    if (p != NULL) {    // means p may nullpointer here
    +        dosomething(p);
    +    }
    +    dosomething(p);     // defect forward_null:p may NULL
    +}
    +

    以下案例在设置trust_paramFalse时将会生效,其将会默认认为函数参数存在空指针可能,必须确认无空指针可能时方可使用

    void forward_null_2(int *p) {
    +    dosomething(p);     // defect: param p may NULL
    +    if (p != NULL) {    // means p may nullpointer here
    +        dosomething(p);
    +    }
    +    dosomething(p);     // defect forward_null:p may NULL
    +}
    +

    reverse_null

    reverse_null 检查已经使用过指针,但在后续又对指针进行了判空操作;会被认为之前使用指针也有可能是空指针。

    代码示例

    以下将提供一个或多个reverse_null案例

    void reverse_null(int *p) {
    +    dosomething(p);      // use p
    +    if (p != NULL) {    // defect reverse_null: It means p may NULL
    +        dosomething(p);
    +    }
    +    ...
    +

    glob_null_pointer

    glob_null_pointer 检查文件内全局指针是否为空,指针赋值将会被认为不为空指针,但检测到空指针判断则视为指针此时可能为空,如果在可能为空时使用则会报错

    代码示例

    以下将提供一个或多个glob_null_pointer案例

    int *p;
    +
    +
    +void thread1() {
    +    p = get_int_pointer();      // p is not NULL
    +    dosomething(p);     // good
    +    if (p != NULL) {
    +        something(p);   // good
    +    }
    +    something(p);  // defect: p may NULL, because check p before
    +}
    +
    +
    +void thread2() {
    +    *p = 6;     // defect: p may NULL
    +    if (p != NULL) {
    +        something(p);   // good
    +    }
    +    something(p);  // defect: p may NULL
    +}
    +

    函数重写

    包含规则

    • function_override

    仅类虚拟函数允许重写。

    function_override

    function_override 检查非虚拟函数重写的情况。

    代码示例

    以下提供一个或多个function_override代码案例

    
    +
    +class father{
    +    public:
    +        father(){};
    +        ~father(){};
    +    
    +    private:
    +        virtual void test(){};
    +        void test2(){ std::cout<<"hello";};
    +};
    +
    +class man{};
    +
    +
    +class son: public father, public man{
    +    public:
    +        son(){};
    +        ~son(){};
    +    private:
    +        void test(){ std::cout<<"hello";};  // allow: virtual function override
    +        void test2(){ std::cout<<"hello";};  // defect: bad override
    +};
    +

    死代码检查

    dead_code

    dead_code 检查永远不会执行到的代码,主要为在同一作用域内 return, break 后的代码

    代码示例

    以下提供一个或多个dead_code代码案例

    // C/Cpp
    +void dead_code(int t) {
    +    int sum = 0;
    +    for (int i = 1; i <= 100; i++) {
    +        if (i == t) {
    +            break;
    +            sum = t;    // Defect: dead_code
    +        }
    +        sum += i;
    +    }
    +}
    +

    dead_branch

    dead_branch 检查永远不会被执行到的分支代码,其原因可能是具有相同效果的控制语句或某些条件在特定情况下永远不会执行。

    代码示例

    以下提供一个或多个dead_branch代码案例

    
    +void dead_branch(int i) {
    +    if (i < 100) {
    +        if ( i > 100) {     // Defect: dead_branch, i 属于 (-inf, 100) 不存在 (100, inf)的可能
    +            dosomething() ;
    +        }
    +        return;
    +    } else if (i >= 100) {
    +        if ( i < 99 ) {     // Defect: dead_branch, i 属于[100, inf) 不存在 (-inf, 99)的可能
    +            dosomething();
    +        }
    +        return;
    +    } else if (i < 10){     // Defect: dead_branch, 在前面分支中已经包含了所有i的可能,这里已经不存在 (-inf, 10)的可能
    +        dosomething();
    +    }
    +    else {                  // Defect: dead_branch, 在前面分支中已经包含了所有i的可能
    +        dosomething();
    +    }
    +    return;
    +}
    +
    +

    变量初始化检查

    包含规则

    • uinit

    uinit

    uinit 检查变量在定义后直接使用,却没有初始化的场景;使用未初始化的变量 可能导致无法预测的行为、崩溃和安全漏洞。

    规则参数
    • deep_level: true, false 设置为true时将会分析作为函数参数的情况,否则无视作为函数参数的使用。
    代码示例

    以下提供一个或多个 uinit 代码案例

    
    +void test(char* t) {
    +    std::cout<< t << std::endl;     // Defect: p 作为函数参数,此处未初始化。
    +    return;
    +}
    +
    +
    +int uinit(int i) {
    +    int a;
    +    char * p;
    +    test(p);    // deep_level = true
    +    if (i < 10)
    +        a = 1;
    +    else
    +        i = 1;
    +    return a;   // Defect: i大于10时,a并未赋值
    +}
    +
    `,125),s=[a];function r(v,u){return i(),n("div",null,s)}const t=e(l,[["render",r],["__file","TCA-Armory-Q1.html.vue"]]);export{t as default}; diff --git a/assets/TCA-Armory-Q1.html-188dfbc4.js b/assets/TCA-Armory-Q1.html-188dfbc4.js new file mode 100644 index 000000000..ba964691b --- /dev/null +++ b/assets/TCA-Armory-Q1.html-188dfbc4.js @@ -0,0 +1,318 @@ +import{_ as e,o as i,c as n,e as l}from"./app-2a91d8ab.js";const d={},a=l(`

    TCA-Armory-Q1工具介绍

    TCA-Armory-Q1, 又名 tca_ql_cpp 主要用于分析Cpp质量问题。

    规则详情

    线程锁检查

    包含规则:

    • missing_lock
    • dead_lock

    在使用多线程对文件全局变量或类成员在进行读写时,工具会对未正确的进行上锁操作和上锁异常而引发死锁的情况进行检查。

    支持的多线程标准库库包括(若有其他库需求可提issue):

    • pthread
    • thread

    missing_lock

    missing_lock 如果发现多线程中某个全局变量在未持有锁便更新时,则会上报错误。

    代码示例

    以下提供一个或多个 missing_loc 案例 在下面代码中,函数 increase1, increase2 皆以将 counter 加到 1000 为目的。如果使用 increase1 函数则有可能多个线程皆在 1000 时进入循环导致最后 counter结果大于 1000

    int counter = 0;
    +std::mutex mtx;  // 保护counter
    +void increase1() {
    +    while (1) {
    +        if (counter <= 1000)
    +            counter++;  // defect: missing_lock
    +        else
    +            break;
    +    }
    +}
    +void increase2() {
    +    while (1) {
    +        mtx.lock();  // example_lock
    +        if (counter <= 1000)
    +            counter++;
    +        else
    +            break;
    +        mtx.unlock();  // example_release
    +    }
    +}
    +

    dead_lock

    dead_lock 如果发现文件内存在 mtx1 -> mtx2 的上锁顺序时,另存在mtx2 -> mtx1 的上锁顺序,视为死锁或存在死锁的可能,则会上报错误。 死锁发生时程序将会卡死无法正常执行。

    规则参数
    • better-lock: True or False 默认为 False
    代码示例

    以下提供一个或多个 dead_lock 案例

    在下面代码中,函数 increase 以将 counter 加到 1000 为目的。但在线程 1 中第一次释放 mtx 后,线程 2 的 mtx 上锁,此时线程1等待线程2释放mtx,线程2等待线程1释放mtx2,形成死锁,程序卡死。

    int counter = 0;
    +std::mutex mtx;
    +std::mutex mtx2;
    +void increase() {
    +    while (1) {
    +        mtx.lock();
    +        mtx2.lock();
    +        mtx.unlock();
    +        mtx.lock();  // defect: dead_lock
    +        if (counter <= 1000)
    +            counter++;
    +        else
    +            break;
    +        mtx2.unlock();
    +        mtx.unlock()
    +    }
    +}
    +

    在下面代码中 线程函数increase1存在mtx -> mtx2 的顺序,increase2顺序为 mtx2 -> mtx;视为出现死锁。

    void increase1() {
    +    while (1) {
    +        mtx.lock();
    +        mtx2.lock();
    +        if (counter <= 1000)
    +            counter++;
    +        else
    +            break;
    +        mtx2.unlock();
    +        mtx.unlock()
    +    }
    +}
    +void increase2() {
    +    while (1) {
    +        mtx2.lock();
    +        mtx.lock();  // defect: dead_lock; 
    +        if (counter <= 1000)
    +            counter++;
    +        else
    +            break;
    +        mtx2.unlock();
    +        mtx.unlock()
    +    }
    +}
    +

    以下案例在better-lock参数为True时将会生效 使用better-lock规则会检查在上锁期间若调用其他函数时将视为可能会出现预期之外的异常,且上锁期间应只做对全局变量操作以提升性能

    void increase1() {
    +    while (1) {
    +        mtx.lock();
    +        if (counter <= 1000)
    +            counter++;
    +        else
    +            break;
    +        read_counter(counter);  // defect: dead_lock
    +        mtx.unlock()
    +    }
    +}
    +void read_counter(counter){
    +    std::cout << counter << std::endl;
    +    do_something_more();
    +}
    +void increase1() {
    +    while (1) {
    +        std::lock_guard<std::mutex> lk(mtx);  // good: 使用lock_guard会自动上锁解锁将不会检查dead_lock
    +        if (counter <= 1000)
    +            counter++;
    +        else
    +            break;
    +        read_counter(counter);
    +    }
    +}
    +

    资源泄漏检查

    包含规则

    • resource_leak

    resource_leak

    resource_leak 在程序申请了资源但并未按时释放时上报错误 目前场景包括:句柄打开时未关闭,指针分配内存后没有及时释放

    代码示例

    以下将提供一个或多个resource_leak案例

    int leak_example1(int c) {
    +    void *p = malloc(10); 
    +    if(c)
    +        return -1; // defect: if c "p" is leaked
    +    free(p);
    +    return 0;
    +}
    +
    +int leak_example2() {
    +    void *p = malloc(10);
    +    void *q = malloc(20);
    +    if(!p || !q)
    +        return -1; // defect: "p" or "q" may be leaked if the other is NULL 
    +    /*...*/
    +    free(q);
    +    free(p);
    +    return 0;
    +}
    +
    +void leak_example3(int c) {
    +    FILE *p = fopen("starwar.anakin", "rb");
    +    if(c)
    +        return;       // defect: leaking file pointer "p"
    +    fclose(p);
    +}
    +
    TODO

    指针为返回值目前不会进行上报与检查,需要后期增加对返回值是否释放的检查

    无效值检查

    包含规则

    • unused_value

    unused_value

    unused_value 检查那些赋予给变量的值是否正确被使用,存在连续两次赋予变量值的情况,视为第一次赋予的值未被正确使用,报出错误。 两次连续赋值可能存在条件控制语句出现错误、变量名拼写错误等情况。

    代码示例

    以下提供一个或多个unused_value案例

    以下函数会因为key的不同去不一样的神明,但实际上 Zeus Hades却永远不会使用到。

    const char* key_value(const int key) {
    +    const char * value = 0;
    +    if (key != 0) {
    +        value = "Zeus";
    +    } else if (key != 1) {
    +        value = "Hades";
    +    } 
    +    if (key != 2) { // Should be 'else if' here.
    +        value = "Poseidon";  // defect: unused_value Zeus Hades  never used
    +    }
    +    else {
    +        value = "Unknow
    +    }
    +    return result;
    +}
    +

    以下继续提供几个unused_value代码

    const char* key_value1(const int key) {
    +    const char * value = 0;
    +    value = "Zeus";  // defect: Zeus never used
    +    if (key == 1) {
    +        value = "Hades;
    +    } else if (key == 2) {
    +        value = "Poseidon";
    +    } else {  // May else need not be here
    +        value = "Unknow";
    +    }
    +    return value
    +}
    +
    +const char* key_value2(const int key) {
    +    const char * value = 0;
    +    value = "Zeus";  // better Zeus used
    +    if (key == 1) {
    +        value = "Hades;
    +    } else if (key == 2) {
    +        value = "Poseidon";
    +    }
    +    return value
    +}
    +
    +const char* key_value3(const int key) {
    +    const char * value = 0;
    +    if (key == 1) {
    +        value = "Hades;
    +    } else {
    +        value = "Poseidon";
    +    }
    +    value = "Zeus";  // defect: Hades Poseidon never used
    +    return value
    +}
    +

    数组溢出检查

    包含规则

    • array_overflow
    • buff_overflow

    array_overflow

    array_overflow 检查数组越界的情况。不正确的缓存区访问可能损坏内存,导致程序崩溃或读取到权限外的内存。

    代码示例

    以下提供一个或多个array_overflow案例

    void foo() {
    +    int array[10];
    +    int i = get();
    +    // i = 9;
    +    if (i > 8 && i <= length(array)) {  // Shoud be i < length(array)
    +        array[i] = 1;  // defect: array[10] overflow
    +    }
    +    array[i] = 1;  // defect: array[10] overflow
    +}
    +
    +
    +void test(int i) {
    +    int n= 10;
    +    char *p = malloc(sizeof(int) * 10);
    +    int y = n;
    +    p[y] = 'a'; // defect: writing to buffer[y] overflow
    +}
    +
    TODO
    • 提供规则参数支持函数参数作为数组或索引的情况检查

    buff_overflow

    buff_overflow 检查strcpy,strcat字符串复制/拼接过程中长度不当导致的溢出, 同样gets scanf函数也视为不安全

    代码示例

    以下提供一个或多个buff_overflow案例

    void overflow1() {
    +
    +    char a[4]={0};
    +        strcpy(a, "Poseidon");  // defect: len("Poseidon") > 4 strncpy is better
    +    return;
    +}
    +
    +void overflow2() {
    +    char s1[10] = "1";
    +    char s2[] = "1234567890";
    +    strcat(s1, s2);  // defect: len(s1 + s2) > 10
    +    // strncat(s1, s2, 6)  // strncat is better
    +    return 0;
    +}
    +
    +

    指针检查

    包含规则

    • func_ret_null
    • func_ret_null_full
    • use_after_free
    • forward_null
    • reverse_null
    • glob_null_pointer

    func_ret_null

    func_ret_null 函数返回值可能为nullpointer,但是调用该函数时指针未经判空便进行使用
    在选用func_ret_null_full 时, 检查器会在项目内全局搜索空指针函数的调用情况,否则只会在相关文件内进行检查。

    代码示例

    以下提供一个或多个func_ret_null代码案例

    在下面代码中test函数中调用get_name可能返回空指针,在后续使用name指针前应该判断是否为空指针

    // name.hpp
    +
    +char* get_name(int id) {
    +    char* name = 0;
    +    if (id == 1) {
    +        name = "Zeus";
    +    } else if (id == 2) {
    +        name = "Hades"
    +    } else {
    +        return nullpointer;
    +    }
    +    return name;
    +}
    +
    +void test(int i) {
    +    char* name = get_name(i);
    +    dosomething(name);  // defect: name may nullpointer should check it
    +    if (name != nullpointer) {
    +        dosomething(name);  // good
    +    }
    +}
    +
    +

    在选用full_ret_null_full时,将会全局分析函数get_name调用情况

    // third.cpp
    +# include "name.h"
    +
    +void name_test(int i) {
    +    char* name = get_name(i);
    +    dosomething(name); // defect
    +}
    +

    use_after_free

    use_after_free 检查当指针已经被释放但在后续仍然使用该指针的情况。

    代码示例

    以下提供一个或多个use_after_free代码案例

    通常情况下已经释放的指针只允许置空或重新指向新的值,不允许存在读取或作为函数参数使用。

    
    +void UAR() {
    +    int* p = new int[];
    +    p = get_array();
    +    dosomething(p);
    +    delete p;
    +    p = NULL;  // allow
    +    p = get_array();  // allow: get array again
    +    delete p;
    +    dosomething(p);  // defect: use as param
    +    std::cout << "p[0] = " << p[0] << std::endl;  // defect: read p
    +}
    +

    forward_null

    forward_null 检查可能导致程序终止或运行时异常的错误。它查找指针或引用被检查是否为 null 或被赋值为 null,且之后被解引用的很多情况。

    规则参数
    • trust_param True or False 默认为 True
    代码示例

    以下提供一个或多个forward_null代码案例

    指针曾经有过检查null的操作则会视为有可能为空指针,之后在未被确认为非空指针情况下直接使用。将会视为forward_null错误

    void forward_null_1() {
    +    int * p;
    +    p = get_int_pointer();
    +    dosomething(p);
    +    if (p == NULL) {
    +        std::cout << "Null Pointer Find" << srd::endl;
    +        // return;      // prefer: if return here
    +    } else {
    +        dosomething(p);     // good: p is not NULL
    +    }
    +    dosomething(p);     // defect forward_null: p may NULL
    +}
    +
    +
    +void forward_null_2(int *p) {
    +    dosomething(p);
    +    if (p == NULL) {
    +        return;
    +    } else {
    +        dosomething(p);     // good: p is not NULL
    +    }
    +    dosomething(p);     // good
    +    ...
    +    if (p != NULL) {    // means p may nullpointer here
    +        dosomething(p);
    +    }
    +    dosomething(p);     // defect forward_null:p may NULL
    +}
    +

    以下案例在设置trust_paramFalse时将会生效,其将会默认认为函数参数存在空指针可能,必须确认无空指针可能时方可使用

    void forward_null_2(int *p) {
    +    dosomething(p);     // defect: param p may NULL
    +    if (p != NULL) {    // means p may nullpointer here
    +        dosomething(p);
    +    }
    +    dosomething(p);     // defect forward_null:p may NULL
    +}
    +

    reverse_null

    reverse_null 检查已经使用过指针,但在后续又对指针进行了判空操作;会被认为之前使用指针也有可能是空指针。

    代码示例

    以下将提供一个或多个reverse_null案例

    void reverse_null(int *p) {
    +    dosomething(p);      // use p
    +    if (p != NULL) {    // defect reverse_null: It means p may NULL
    +        dosomething(p);
    +    }
    +    ...
    +

    glob_null_pointer

    glob_null_pointer 检查文件内全局指针是否为空,指针赋值将会被认为不为空指针,但检测到空指针判断则视为指针此时可能为空,如果在可能为空时使用则会报错

    代码示例

    以下将提供一个或多个glob_null_pointer案例

    int *p;
    +
    +
    +void thread1() {
    +    p = get_int_pointer();      // p is not NULL
    +    dosomething(p);     // good
    +    if (p != NULL) {
    +        something(p);   // good
    +    }
    +    something(p);  // defect: p may NULL, because check p before
    +}
    +
    +
    +void thread2() {
    +    *p = 6;     // defect: p may NULL
    +    if (p != NULL) {
    +        something(p);   // good
    +    }
    +    something(p);  // defect: p may NULL
    +}
    +

    函数重写

    包含规则

    • function_override

    仅类虚拟函数允许重写。

    function_override

    function_override 检查非虚拟函数重写的情况。

    代码示例

    以下提供一个或多个function_override代码案例

    
    +
    +class father{
    +    public:
    +        father(){};
    +        ~father(){};
    +    
    +    private:
    +        virtual void test(){};
    +        void test2(){ std::cout<<"hello";};
    +};
    +
    +class man{};
    +
    +
    +class son: public father, public man{
    +    public:
    +        son(){};
    +        ~son(){};
    +    private:
    +        void test(){ std::cout<<"hello";};  // allow: virtual function override
    +        void test2(){ std::cout<<"hello";};  // defect: bad override
    +};
    +
    `,109),s=[a];function r(u,v){return i(),n("div",null,s)}const t=e(d,[["render",r],["__file","TCA-Armory-Q1.html.vue"]]);export{t as default}; diff --git a/assets/TCA-Armory-Q1.html-20e46388.js b/assets/TCA-Armory-Q1.html-20e46388.js new file mode 100644 index 000000000..7e65dbc59 --- /dev/null +++ b/assets/TCA-Armory-Q1.html-20e46388.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-b2de67c2","path":"/zh/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E5%B7%A5%E5%85%B7/TCA-Armory-Q1.html","title":"TCA-Armory-Q1工具介绍","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"线程锁检查","slug":"线程锁检查","link":"#线程锁检查","children":[]},{"level":2,"title":"资源泄漏检查","slug":"资源泄漏检查","link":"#资源泄漏检查","children":[]},{"level":2,"title":"无效值检查","slug":"无效值检查","link":"#无效值检查","children":[]},{"level":2,"title":"数组溢出检查","slug":"数组溢出检查","link":"#数组溢出检查","children":[]},{"level":2,"title":"指针检查","slug":"指针检查","link":"#指针检查","children":[]},{"level":2,"title":"函数重写","slug":"函数重写","link":"#函数重写","children":[]},{"level":2,"title":"死代码检查","slug":"死代码检查","link":"#死代码检查","children":[]},{"level":2,"title":"变量初始化检查","slug":"变量初始化检查","link":"#变量初始化检查","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/guide/代码检查/工具/TCA-Armory-Q1.md"}');export{l as data}; diff --git a/assets/TCA-Armory-Q1.html-bb42cfff.js b/assets/TCA-Armory-Q1.html-bb42cfff.js new file mode 100644 index 000000000..88633d38c --- /dev/null +++ b/assets/TCA-Armory-Q1.html-bb42cfff.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-01906c04","path":"/en/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E5%B7%A5%E5%85%B7/TCA-Armory-Q1.html","title":"TCA-Armory-Q1工具介绍","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"线程锁检查","slug":"线程锁检查","link":"#线程锁检查","children":[]},{"level":2,"title":"资源泄漏检查","slug":"资源泄漏检查","link":"#资源泄漏检查","children":[]},{"level":2,"title":"无效值检查","slug":"无效值检查","link":"#无效值检查","children":[]},{"level":2,"title":"数组溢出检查","slug":"数组溢出检查","link":"#数组溢出检查","children":[]},{"level":2,"title":"指针检查","slug":"指针检查","link":"#指针检查","children":[]},{"level":2,"title":"函数重写","slug":"函数重写","link":"#函数重写","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/guide/代码检查/工具/TCA-Armory-Q1.md"}');export{e as data}; diff --git a/assets/TCA-Armory-R.html-024d2d34.js b/assets/TCA-Armory-R.html-024d2d34.js new file mode 100644 index 000000000..06da996cd --- /dev/null +++ b/assets/TCA-Armory-R.html-024d2d34.js @@ -0,0 +1 @@ +import{_ as i,a}from"./createcustomrule-3919c596.js";import{_ as d,a as h}from"./scheme_codelint_03-5bcd9286.js";import{_,r as s,o as p,c as u,a as e,b as o,d as t,w as c,e as l}from"./app-2a91d8ab.js";const g={},x=l('

    TCA-Armory-R 使用手册

    TCA独立工具TCA-Armory-R,别名RegexScanner,正则匹配工具,支持扫描文件名称和文本内容,支持页面直接自定义创建规则

    适用场景

    • 检测项目中的文件名,比如漏洞文件log4j-core-2.10.1.jar
    • 检测代码文件中的文本内容,比如高危函数vsscanf
    • 检测配置文件中的文本内容,比如账号密码明文

    对比RegexScan、RegexFileScan

    ',5),m=e("li",null,"单个工具即可完成文件名和文件内容的检查",-1),f=e("li",null,"扫描速度更快,大概减少60%的耗时",-1),A=e("li",null,"单条规则内支持多条正则表达式",-1),k=e("li",null,"支持正则过滤",-1),b=e("li",null,"支持匹配分组和熵检测",-1),y={href:"https://pkg.go.dev/regexp/syntax",target:"_blank",rel:"noopener noreferrer"},E=e("h2",{id:"快速接入",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#快速接入","aria-hidden":"true"},"#"),o(" 快速接入")],-1),T=e("p",null,"以下是接入步骤:",-1),C=e("li",null,"在代码分析创建项目,自定义规则包里添加想要进行扫描的TCA-Armory-R规则",-1),v=e("li",null,"启动分析即可",-1),R=l('

    自定义规则

    1. 开放支持自定义规则权限

    开放支持自定义规则权限,需平台管理员在管理入口-工具管理中找到TCA-Armory-R工具,并将其权限状态调整为支持自定义规则

    ',3),B=l('

    2. 添加规则

    进入工具管理入口,进入TCA-Armory-R工具页面,选择上方的“自定义规则”,然后点击“添加规则”:

    添加自定义规则

    3. 填写规则信息

    进入“创建规则”页面,按照需求填写相关信息,完成后,点击页面最后的“确定”按钮提交。

    规则示例:

    规则扫描场景:扫描代码中的 github token,如果token以明文形式写在源码文件中,会造成隐私泄露,可能造成严重的安全事故。

    正则表达式:匹配 github token 字符串,根据github token的一般形式,可以推断出正则表达式 ((ghp|gho|ghu|ghs)_[0-9a-zA-Z]{36})。

    ',8),N={class:"custom-container tip"},z=e("p",{class:"custom-container-title"},"提示",-1),F={href:"https://pkg.go.dev/regexp/syntax",target:"_blank",rel:"noopener noreferrer"},S=l('

    建议先测试好正则表达式是否正确,正则表达式测试网站推荐:http://tool.oschina.net/regex

    填写自定义规则

    字段解释

    规则名称、前端展示名称:建议使用单词首字母大写的格式,如 DetectedGithubToken

    规则简述:作为扫描出来到问题标题

    规则参数:

    提示

    规则参数中的(3)(4)(5)属于新功能,需要将客户端client和工具库TCA-Armory更新到最新版本

    ',7),j=e("li",null,[e("p",null,"(1) 参数格式类似ini的格式, 也就是key = value的格式")],-1),q=e("code",null,"regex",-1),w=e("code",null,"regex=((ghp|gho|ghu|ghs)_[0-9a-zA-Z]{36})",-1),Z={href:"https://pkg.go.dev/regexp/syntax",target:"_blank",rel:"noopener noreferrer"},L={href:"http://tool.oschina.net/regex",target:"_blank",rel:"noopener noreferrer"},V=l("
  • (3) [可选] regex{N} 参数,只有在已有regex参数情况下生效,用于扩展扫描的正则表达式,其中 N 从1开始计数,例如: regex1=EAAAACZAVC6ygB[0-9A-Za-z]+, regex2=EAAAAZAw4[0-9A-Za-z]+regex{N}regex的表达式均为关系,每一个匹配结果上报一个问题。

  • (4) [可选] regex_not 参数,用于指定正则过滤表达式,例如: regex_not=(?i)example。可以对(2)(3)中regex匹配的字符串进行筛选,如果匹配则过滤该结果,不予上报。

  • (5) [可选] regex_not{N} 参数,只有在已有regex_not参数情况下生效,用于扩展正则过滤表达式,其中 N 从1开始计数,例如: regex_not1=(?i)test, regex_not2=(?i)fakeregex_not{N}regex_not的表达式均为关系。

  • (6) [必选] msg 参数,用于展现issue说明, 例如: msg=检测到高危函数%s,建议替换。

    • msg中的“%s”使用regex中的group(用“()"括起来的部分)一一匹配,单个%s默认为整个regex匹配的字符串

    • 如果regex没有定义group,则msg最多有一个%s, 并由整个regex匹配的字符串替代

    • 如果msg里没有包含“%s”,则直接显示msg

    • 如果msg没有提供,则会给出默认信息

  • (7) [可选] ignore_comment 参数,用于指定是否忽略注释代码,可选值:True、true、False、false 。例如: ignore_comment=True, 默认是False

  • (8) [可选] file_scan 参数,用于指定是否扫描文件名称,可选值:True、true、False、false 。例如: file_scan=True, 默认是False

  • (9) [可选] include 参数,用于指定只扫描的文件匹配范围,基于相对路径,使用通配符格式,多项使用英文分号(;)隔开。例如: include=src/test;src/main.*;*.cpp

  • ",7),G=e("p",null,[o("(10) [可选] "),e("code",null,"exclude"),o(" 参数,用于指定不扫描的文件匹配范围,格式同include参数,例如: "),e("code",null,"exclude=tests;*.json")],-1),D=e("code",null,"exclude",-1),I=e("code",null,"include",-1),M={href:"https://pkg.go.dev/path/filepath#Match",target:"_blank",rel:"noopener noreferrer"},H=e("code",null,"**",-1),J=e("strong",null,"默认匹配前后目录",-1),K=l("
    1. exclude=*.py 会忽略以下文件: main.py, src/main.py, main.py/install.sh
    2. exclude=tests 会忽略以下文件: tests/test.py, a/tests/b/test.py
    3. include=main.* 会只扫描以下文件: src/main.py, app/main.go
    4. include=srcexclude=src/lib 会只扫描以下文件: src/main.py, src/project/proj.py; 忽略以下文件: src/lib/lib.py, src/lib/package/pack.js
    ",1),O=e("li",null,[e("p",null,[o("(11)[可选] "),e("code",null,"match_group"),o(" 参数,用于指定正则匹配的分组,数值不能大于正则匹配分组数,例如: "),e("code",null,"regex=(aws_account_id)\\s{0,50}(:|=>|=)\\s{0,50}([0-9]{12})"),e("code",null,"match_group=3"),o(",匹配到第3个分组"),e("code",null,"([0-9]{12})")])],-1),P=e("p",null,[o("(12)[可选] "),e("code",null,"entropy"),o(" 参数,用于指定正则匹配结果的最小信息熵,例如:"),e("code",null,"entropy=3"),o(",熵不大于3的匹配结果将被过滤")],-1),Q={href:"https://zh.wikipedia.org/wiki/%E7%86%B5_(%E4%BF%A1%E6%81%AF%E8%AE%BA)",target:"_blank",rel:"noopener noreferrer"},U=e("h3",{id:"_4-将自定义规则添加到项目分析方案中",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#_4-将自定义规则添加到项目分析方案中","aria-hidden":"true"},"#"),o(" 4. 将自定义规则添加到项目分析方案中")],-1),W=e("p",null,"进入 代码分析 - 分析方案 - 代码检查 - 自定义规则包 - 查看详细规则,添加规则。",-1),X=e("p",null,[e("img",{src:d,alt:"点击自定义规则包"})],-1),Y=e("p",null,[e("img",{src:h,alt:"添加规则"})],-1);function $(ee,oe){const n=s("ExternalLinkIcon"),r=s("RouterLink");return p(),u("div",null,[x,e("ul",null,[m,f,A,k,b,e("li",null,[e("em",null,[o("只支持"),e("a",y,[o("go的正则语法"),t(n)])])])]),E,T,e("ol",null,[e("li",null,[o("属于增强分析模块,需要先"),t(r,{to:"/zh/quickStarted/enhanceDeploy.html"},{default:c(()=>[o("部署CLS")]),_:1})]),C,v]),R,e("p",null,[o("规则权限详见"),t(r,{to:"/zh/guide/%E5%B7%A5%E5%85%B7%E7%AE%A1%E7%90%86/%E8%87%AA%E5%AE%9A%E4%B9%89%E8%A7%84%E5%88%99.html"},{default:c(()=>[o("自定义规则权限说明")]),_:1})]),B,e("div",N,[z,e("p",null,[e("strong",null,[o("只支持go正则语法: "),e("a",F,[o("regexp"),t(n)])])])]),S,e("ul",null,[j,e("li",null,[e("p",null,[o("(2) [必选] "),q,o(" 参数,用于指定扫描的正则表达式,例如: "),w,o("。"),e("strong",null,[o("只支持go正则语法: "),e("a",Z,[o("regexp"),t(n)])]),o("。建议先测试好正则表达式是否正确,正则表达式测试网站推荐:"),e("a",L,[o("http://tool.oschina.net/regex"),t(n)])])]),V,e("li",null,[G,e("blockquote",null,[e("p",null,[o("路径过滤("),D,o(", "),I,o(")采用Glob-Style的匹配模式,详见 "),e("a",M,[o("Go-filepath-Match"),t(n)]),o(", 除了 "),H,o(" 用来匹配零或多个目录,本工具会"),J,o("。举例:")]),K])]),O,e("li",null,[P,e("blockquote",null,[e("p",null,[o("信息熵:"),e("a",Q,[o("熵(信息论)"),t(n)]),o(" 可用于敏感信息(密钥、token)的检测 含义:可以理解为字符串的混乱程度,字符越随机,熵越大。因此,设置合适的熵,可以过滤掉一些误报或者人为测试用例。")])])])]),U,W,X,Y])}const re=_(g,[["render",$],["__file","TCA-Armory-R.html.vue"]]);export{re as default}; diff --git a/assets/TCA-Armory-R.html-0470623e.js b/assets/TCA-Armory-R.html-0470623e.js new file mode 100644 index 000000000..f786690b9 --- /dev/null +++ b/assets/TCA-Armory-R.html-0470623e.js @@ -0,0 +1 @@ +import{_ as i,a}from"./createcustomrule-3919c596.js";import{_ as d,a as h}from"./scheme_codelint_03-5bcd9286.js";import{_,r as s,o as p,c as u,a as e,b as o,d as t,w as c,e as l}from"./app-2a91d8ab.js";const g={},x=l('

    TCA-Armory-R 使用手册

    TCA独立工具TCA-Armory-R,别名RegexScanner,正则匹配工具,支持扫描文件名称和文本内容,支持页面直接自定义创建规则

    适用场景

    • 检测项目中的文件名,比如漏洞文件log4j-core-2.10.1.jar
    • 检测代码文件中的文本内容,比如高危函数vsscanf
    • 检测配置文件中的文本内容,比如账号密码明文

    对比RegexScan、RegexFileScan

    ',5),m=e("li",null,"单个工具即可完成文件名和文件内容的检查",-1),f=e("li",null,"扫描速度更快,大概减少60%的耗时",-1),A=e("li",null,"单条规则内支持多条正则表达式",-1),k=e("li",null,"支持正则过滤",-1),b=e("li",null,"支持匹配分组和熵检测",-1),y={href:"https://pkg.go.dev/regexp/syntax",target:"_blank",rel:"noopener noreferrer"},E=e("h2",{id:"快速接入",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#快速接入","aria-hidden":"true"},"#"),o(" 快速接入")],-1),T=e("p",null,"以下是接入步骤:",-1),C=e("li",null,"在代码分析创建项目,自定义规则包里添加想要进行扫描的TCA-Armory-R规则",-1),v=e("li",null,"启动分析即可",-1),R=l('

    自定义规则

    1. 开放支持自定义规则权限

    开放支持自定义规则权限,需平台管理员在管理入口-工具管理中找到TCA-Armory-R工具,并将其权限状态调整为支持自定义规则

    ',3),B=l('

    2. 添加规则

    进入工具管理入口,进入TCA-Armory-R工具页面,选择上方的“自定义规则”,然后点击“添加规则”:

    添加自定义规则

    3. 填写规则信息

    进入“创建规则”页面,按照需求填写相关信息,完成后,点击页面最后的“确定”按钮提交。

    规则示例:

    规则扫描场景:扫描代码中的 github token,如果token以明文形式写在源码文件中,会造成隐私泄露,可能造成严重的安全事故。

    正则表达式:匹配 github token 字符串,根据github token的一般形式,可以推断出正则表达式 ((ghp|gho|ghu|ghs)_[0-9a-zA-Z]{36})。

    ',8),N={class:"custom-container tip"},F=e("p",{class:"custom-container-title"},"TIP",-1),S={href:"https://pkg.go.dev/regexp/syntax",target:"_blank",rel:"noopener noreferrer"},j=l('

    建议先测试好正则表达式是否正确,正则表达式测试网站推荐:http://tool.oschina.net/regex

    填写自定义规则

    字段解释

    规则名称、前端展示名称:建议使用单词首字母大写的格式,如 DetectedGithubToken

    规则简述:作为扫描出来到问题标题

    规则参数:

    TIP

    规则参数中的(3)(4)(5)属于新功能,需要将客户端client和工具库TCA-Armory更新到最新版本

    ',7),q=e("li",null,[e("p",null,"(1) 参数格式类似ini的格式, 也就是key = value的格式")],-1),w=e("code",null,"regex",-1),Z=e("code",null,"regex=((ghp|gho|ghu|ghs)_[0-9a-zA-Z]{36})",-1),z={href:"https://pkg.go.dev/regexp/syntax",target:"_blank",rel:"noopener noreferrer"},L={href:"http://tool.oschina.net/regex",target:"_blank",rel:"noopener noreferrer"},V=l("
  • (3) [可选] regex{N} 参数,只有在已有regex参数情况下生效,用于扩展扫描的正则表达式,其中 N 从1开始计数,例如: regex1=EAAAACZAVC6ygB[0-9A-Za-z]+, regex2=EAAAAZAw4[0-9A-Za-z]+regex{N}regex的表达式均为关系,每一个匹配结果上报一个问题。

  • (4) [可选] regex_not 参数,用于指定正则过滤表达式,例如: regex_not=(?i)example。可以对(2)(3)中regex匹配的字符串进行筛选,如果匹配则过滤该结果,不予上报。

  • (5) [可选] regex_not{N} 参数,只有在已有regex_not参数情况下生效,用于扩展正则过滤表达式,其中 N 从1开始计数,例如: regex_not1=(?i)test, regex_not2=(?i)fakeregex_not{N}regex_not的表达式均为关系。

  • (6) [必选] msg 参数,用于展现issue说明, 例如: msg=检测到高危函数%s,建议替换。

    • msg中的“%s”使用regex中的group(用“()"括起来的部分)一一匹配,单个%s默认为整个regex匹配的字符串

    • 如果regex没有定义group,则msg最多有一个%s, 并由整个regex匹配的字符串替代

    • 如果msg里没有包含“%s”,则直接显示msg

    • 如果msg没有提供,则会给出默认信息

  • (7) [可选] ignore_comment 参数,用于指定是否忽略注释代码,可选值:True、true、False、false 。例如: ignore_comment=True, 默认是False

  • (8) [可选] file_scan 参数,用于指定是否扫描文件名称,可选值:True、true、False、false 。例如: file_scan=True, 默认是False

  • (9) [可选] include 参数,用于指定只扫描的文件匹配范围,基于相对路径,使用通配符格式,多项使用英文分号(;)隔开。例如: include=src/test;src/main.*;*.cpp

  • ",7),I=e("p",null,[o("(10) [可选] "),e("code",null,"exclude"),o(" 参数,用于指定不扫描的文件匹配范围,格式同include参数,例如: "),e("code",null,"exclude=tests;*.json")],-1),G=e("code",null,"exclude",-1),D=e("code",null,"include",-1),M={href:"https://pkg.go.dev/path/filepath#Match",target:"_blank",rel:"noopener noreferrer"},P=e("code",null,"**",-1),H=e("strong",null,"默认匹配前后目录",-1),J=l("
    1. exclude=*.py 会忽略以下文件: main.py, src/main.py, main.py/install.sh
    2. exclude=tests 会忽略以下文件: tests/test.py, a/tests/b/test.py
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    更新日志

    V1.4.1 (2022-7-28)

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    • 【客户端】jenkins插件增加分析方案模版ID和分析方案名称参数
    • 【服务端】增加扫描方案模板API
    • 【服务器】优化文件服务器鉴权交互
    • 【客户端】QuickScan支持指定分析方案模板进行扫描;支持从环境变量读取文件服务器url和token
    • 【Web端】升级moment依赖

    Docs

    • 更新插件使用说明书和启动参数说明

    V1.3.3 (2022-6-29)

    Features

    • 【服务端】支持团队、项目组禁用,支持代码库、分析项目删除
    • 【服务端】扫描方案支持分支过滤
    • 【Web端】支持禁用团队、项目,代码库登记支持ssh_url
    • 【Web端】支持分支过滤配置,修复代码统计文件选中效果,支持工具、依赖凭证移除
    • 【工具】增加tca_ql工具
    • 【客户端】节点模式不再由客户端加载编译工具的环境变量,避免覆盖机器原有环境变量
    • 【客户端】QuickScan模式,异常时输出task.log方便排查问题
    • 【客户端】.code.yml支持.yaml后缀

    Bugfixes

    • 【客户端】tool_scheme和ini配置共用时,可能出现工具重复,需要对工具库去重后再拉取

    Docs

    • 更新TCA Action相关文档
    • 更新Jenkins插件文档;增加环境依赖说明
    • 更新自定义工具文档,使用工具依赖
    • 更新CLS readme

    V1.3.2 (2022-6-16)

    Features

    • 【客户端】QuickScan根据语言执行不同的任务

    Docs

    • docker-compose部署文档中数据库注意事项

    V1.3.1 (2022-6-14)

    Features

    • 【客户端】新增merge quest分支增量扫描
    • 【客户端】新增Quickscan模式
    • 【客户端】localscan支持工具并发
    • 【工具】新增二进制文件依赖分析工具
    • 【服务端】server调整服务监控探测脚本:celery状态判断
    • 【服务端】增加子任务接口,完善部署脚本
    • 【服务端】更新CLS版本v20220613.1
    • 【服务端】基于 CentOS7.9.2009(已测)的运行环境一键安装脚本,并已安装及配置命令 gunicorn 和 celery
    • 【Web端】调整OAuth显示

    V1.3.0 (2022-6-7)

    Features

    • 【工具】新增独立工具Loong
    • 【工具】新增Java、JS基础安全规则包
    • 【工具】增加Go和Python技术安全规则包
    • 【服务端】新增oauth授权及工具依赖管理
    • 【服务端】docker-compose部署支持挂载本地日志目录
    • 【客户端】支持工具依赖管理
    • 【Web端】支持工具依赖管理设置和Git OAuth设置
    • 【Web端】团队列表支持滚动加载

    Bugfixes

    • 【服务端】补充scmproxy缺失依赖
    • 【服务端】修复issue入库忽略处理操作

    Docs

    • 更新工具目录readme
    • 更新client README.md

    V1.2.1 (2022-5-24)

    Features

    • 【工具】新增Collie/Compass(测试版)工具
    • 【工具】添加tscancode系列工具
    • 【工具】工具区分编译型和非编译型
    • 【客户端】更新cmdscm二进制文件,调整获取ssh端口号方式
    • 【客户端】增加腾讯工蜂作为工具拉取源,支持选用
    • 【服务端】调整工程配置和文档,支持https克隆
    • 【Web端】前端页面优化

    Docs

    • 添加集成工具说明文档
    • readme增加微信公众号和腾讯开源摘星计划的说明及链接
    • 修改帮助文档的脚本名称;修改工蜂镜像仓库链接位置
    • 调整自定义规则文档
    • 调整doc,优化部署、使用文档

    V1.2.0 (2022-4-27)

    Features

    • 【Web端】增加工具管理
    • 【工具】增加logback检查的安全规则
    • 【服务端】增加TCA server&web 一键部署脚本
    • 【服务端】删除main部分异步任务;调整server nginx启动位置
    • 【服务端】增加server健康监测

    Docs

    • 完善部署和Q&A文档
    • 上传工具列表

    V1.1.3 (2022-4-18)

    Features

    • 【工具】上传开源合规检查规则
    • 【工具】新增PHP安全相关规则
    • 【服务端】上线license鉴权
    • 【客户端】支持对工具license校验

    Docs

    • 更新文档内的工具默认路径
    • 增加任务分布式执行能力操作文档
    • 增加PR操作流程

    V1.1.2 (2022-4-2)

    Features

    • 【服务端】优化部署构建脚本

    Docs

    • 简化前端部署脚本&文档
    • 优化指引文档

    V1.1.1 (2022-3-31)

    Features

    • 【工具】增加0daychecker工具
    • 【工具】增加Log4j、LogBack漏洞检查规则包

    Docs

    • 完善部署文档说明,推荐使用Docker-Compose 2.3.3版本

    V1.1.0 (2022-3-29)

    Features

    • 【客户端】client支持arm64架构执行环境
    • 【客户端】client新增分布式节点模式
    • 【客户端】修改参数isTotal(是否开启全量扫描)判断方式及参数startCommand(启动客户端命令)拼接方式
    • 【服务端】支持任务分布式下发
    • 【服务端】完善基于minio的文件存储配置
    • 【Web端】调整文件资源引用地址
    • 【Web端】web模块部署脚本问题修复及优化
    • 【Web端】增加管理后台、增加在线分析
    • 【Web端】调整前端部署脚本,支持传递nginx配置地址、前端资源部署地址

    Bugfixes

    • Jenkins插件命令拼装逻辑修正

    Docs

    • 调整pypi下载失败提示
    • 调整前端部署文档及脚本
    • 更新License

    V1.0.1 (2022-03-01)

    Features

    • feat: 【服务端】调整代码库登记ssh url链接格式适配
    • feat: 【工具】上线支持PHP安全工具-Rips
    • feat: 【工具】调整androidlint部分规则描述
    • feat: 【客户端】上线Jenkins插件
    • feat: 【客户端】增加工具拉取可选配置项
    • feat: 【客户端】支持在命令行参数中输入团队编号和项目名称
    • feat: 【客户端】限制PYTHON_VERSION环境变量可选值
    • feat: 【客户端】增加在docker中快速使用client的方式

    Bugfixes

    • fix: 【服务端】补充缺失的依赖
    • fix: 【Web端】修复下载codedog.ini失败提示

    Docs

    • doc: 上线部署文档Q&A
    • doc: 优化部署文档、帮助文档说明
    • doc: 增加产品白皮书
    • doc: 补充redis和nginx源码安装参考文档

    V1.0.0

    初始发布

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    更新日志

    V1.4.1 (2022-7-28)

    Features

    • 【服务端】统一部署脚本,封装local、docker、docker-compose部署方式启动server&web&client
    • 【服务端】支持源码安装Redis与Nginx
    • 【服务端】macOS启动docker desktop
    • 【服务端】完善github action脚本
    • 【工具】更新工具列表

    Docs

    • 上传新版本白皮书
    • 调整快速入门指引文档

    V1.4.0 (2022-7-18)

    Features

    • 【客户端】jenkins插件增加分析方案模版ID和分析方案名称参数
    • 【服务端】增加扫描方案模板API
    • 【服务器】优化文件服务器鉴权交互
    • 【客户端】QuickScan支持指定分析方案模板进行扫描;支持从环境变量读取文件服务器url和token
    • 【Web端】升级moment依赖

    Docs

    • 更新插件使用说明书和启动参数说明

    V1.3.3 (2022-6-29)

    Features

    • 【服务端】支持团队、项目组禁用,支持代码库、分析项目删除
    • 【服务端】扫描方案支持分支过滤
    • 【Web端】支持禁用团队、项目,代码库登记支持ssh_url
    • 【Web端】支持分支过滤配置,修复代码统计文件选中效果,支持工具、依赖凭证移除
    • 【工具】增加tca_ql工具
    • 【客户端】节点模式不再由客户端加载编译工具的环境变量,避免覆盖机器原有环境变量
    • 【客户端】QuickScan模式,异常时输出task.log方便排查问题
    • 【客户端】.code.yml支持.yaml后缀

    Bugfixes

    • 【客户端】tool_scheme和ini配置共用时,可能出现工具重复,需要对工具库去重后再拉取

    Docs

    • 更新TCA Action相关文档
    • 更新Jenkins插件文档;增加环境依赖说明
    • 更新自定义工具文档,使用工具依赖
    • 更新CLS readme

    V1.3.2 (2022-6-16)

    Features

    • 【客户端】QuickScan根据语言执行不同的任务

    Docs

    • docker-compose部署文档中数据库注意事项

    V1.3.1 (2022-6-14)

    Features

    • 【客户端】新增merge quest分支增量扫描
    • 【客户端】新增Quickscan模式
    • 【客户端】localscan支持工具并发
    • 【工具】新增二进制文件依赖分析工具
    • 【服务端】server调整服务监控探测脚本:celery状态判断
    • 【服务端】增加子任务接口,完善部署脚本
    • 【服务端】更新CLS版本v20220613.1
    • 【服务端】基于 CentOS7.9.2009(已测)的运行环境一键安装脚本,并已安装及配置命令 gunicorn 和 celery
    • 【Web端】调整OAuth显示

    V1.3.0 (2022-6-7)

    Features

    • 【工具】新增独立工具Loong
    • 【工具】新增Java、JS基础安全规则包
    • 【工具】增加Go和Python技术安全规则包
    • 【服务端】新增oauth授权及工具依赖管理
    • 【服务端】docker-compose部署支持挂载本地日志目录
    • 【客户端】支持工具依赖管理
    • 【Web端】支持工具依赖管理设置和Git OAuth设置
    • 【Web端】团队列表支持滚动加载

    Bugfixes

    • 【服务端】补充scmproxy缺失依赖
    • 【服务端】修复issue入库忽略处理操作

    Docs

    • 更新工具目录readme
    • 更新client README.md

    V1.2.1 (2022-5-24)

    Features

    • 【工具】新增Collie/Compass(测试版)工具
    • 【工具】添加tscancode系列工具
    • 【工具】工具区分编译型和非编译型
    • 【客户端】更新cmdscm二进制文件,调整获取ssh端口号方式
    • 【客户端】增加腾讯工蜂作为工具拉取源,支持选用
    • 【服务端】调整工程配置和文档,支持https克隆
    • 【Web端】前端页面优化

    Docs

    • 添加集成工具说明文档
    • readme增加微信公众号和腾讯开源摘星计划的说明及链接
    • 修改帮助文档的脚本名称;修改工蜂镜像仓库链接位置
    • 调整自定义规则文档
    • 调整doc,优化部署、使用文档

    V1.2.0 (2022-4-27)

    Features

    • 【Web端】增加工具管理
    • 【工具】增加logback检查的安全规则
    • 【服务端】增加TCA server&web 一键部署脚本
    • 【服务端】删除main部分异步任务;调整server nginx启动位置
    • 【服务端】增加server健康监测

    Docs

    • 完善部署和Q&A文档
    • 上传工具列表

    V1.1.3 (2022-4-18)

    Features

    • 【工具】上传开源合规检查规则
    • 【工具】新增PHP安全相关规则
    • 【服务端】上线license鉴权
    • 【客户端】支持对工具license校验

    Docs

    • 更新文档内的工具默认路径
    • 增加任务分布式执行能力操作文档
    • 增加PR操作流程

    V1.1.2 (2022-4-2)

    Features

    • 【服务端】优化部署构建脚本

    Docs

    • 简化前端部署脚本&文档
    • 优化指引文档

    V1.1.1 (2022-3-31)

    Features

    • 【工具】增加0daychecker工具
    • 【工具】增加Log4j、LogBack漏洞检查规则包

    Docs

    • 完善部署文档说明,推荐使用Docker-Compose 2.3.3版本

    V1.1.0 (2022-3-29)

    Features

    • 【客户端】client支持arm64架构执行环境
    • 【客户端】client新增分布式节点模式
    • 【客户端】修改参数isTotal(是否开启全量扫描)判断方式及参数startCommand(启动客户端命令)拼接方式
    • 【服务端】支持任务分布式下发
    • 【服务端】完善基于minio的文件存储配置
    • 【Web端】调整文件资源引用地址
    • 【Web端】web模块部署脚本问题修复及优化
    • 【Web端】增加管理后台、增加在线分析
    • 【Web端】调整前端部署脚本,支持传递nginx配置地址、前端资源部署地址

    Bugfixes

    • Jenkins插件命令拼装逻辑修正

    Docs

    • 调整pypi下载失败提示
    • 调整前端部署文档及脚本
    • 更新License

    V1.0.1 (2022-03-01)

    Features

    • feat: 【服务端】调整代码库登记ssh url链接格式适配
    • feat: 【工具】上线支持PHP安全工具-Rips
    • feat: 【工具】调整androidlint部分规则描述
    • feat: 【客户端】上线Jenkins插件
    • feat: 【客户端】增加工具拉取可选配置项
    • feat: 【客户端】支持在命令行参数中输入团队编号和项目名称
    • feat: 【客户端】限制PYTHON_VERSION环境变量可选值
    • feat: 【客户端】增加在docker中快速使用client的方式

    Bugfixes

    • fix: 【服务端】补充缺失的依赖
    • fix: 【Web端】修复下载codedog.ini失败提示

    Docs

    • doc: 上线部署文档Q&A
    • doc: 优化部署文档、帮助文档说明
    • doc: 增加产品白皮书
    • doc: 补充redis和nginx源码安装参考文档

    V1.0.0

    初始发布

    ',74),d=[h];function s(c,n){return i(),a("div",null,d)}const u=e(r,[["render",s],["__file","changelog.html.vue"]]);export{u as default}; diff --git a/assets/changelog.html-c4b08e96.js b/assets/changelog.html-c4b08e96.js new file mode 100644 index 000000000..e22c446ca --- /dev/null +++ b/assets/changelog.html-c4b08e96.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-ee298290","path":"/en/community/changelog.html","title":"更新日志","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"V1.4.1 (2022-7-28)","slug":"v1-4-1-2022-7-28","link":"#v1-4-1-2022-7-28","children":[{"level":3,"title":"Features","slug":"features","link":"#features","children":[]},{"level":3,"title":"Docs","slug":"docs","link":"#docs","children":[]}]},{"level":2,"title":"V1.4.0 (2022-7-18)","slug":"v1-4-0-2022-7-18","link":"#v1-4-0-2022-7-18","children":[{"level":3,"title":"Features","slug":"features-1","link":"#features-1","children":[]},{"level":3,"title":"Docs","slug":"docs-1","link":"#docs-1","children":[]}]},{"level":2,"title":"V1.3.3 (2022-6-29)","slug":"v1-3-3-2022-6-29","link":"#v1-3-3-2022-6-29","children":[{"level":3,"title":"Features","slug":"features-2","link":"#features-2","children":[]},{"level":3,"title":"Bugfixes","slug":"bugfixes","link":"#bugfixes","children":[]},{"level":3,"title":"Docs","slug":"docs-2","link":"#docs-2","children":[]}]},{"level":2,"title":"V1.3.2 (2022-6-16)","slug":"v1-3-2-2022-6-16","link":"#v1-3-2-2022-6-16","children":[{"level":3,"title":"Features","slug":"features-3","link":"#features-3","children":[]},{"level":3,"title":"Docs","slug":"docs-3","link":"#docs-3","children":[]}]},{"level":2,"title":"V1.3.1 (2022-6-14)","slug":"v1-3-1-2022-6-14","link":"#v1-3-1-2022-6-14","children":[{"level":3,"title":"Features","slug":"features-4","link":"#features-4","children":[]}]},{"level":2,"title":"V1.3.0 (2022-6-7)","slug":"v1-3-0-2022-6-7","link":"#v1-3-0-2022-6-7","children":[{"level":3,"title":"Features","slug":"features-5","link":"#features-5","children":[]},{"level":3,"title":"Bugfixes","slug":"bugfixes-1","link":"#bugfixes-1","children":[]},{"level":3,"title":"Docs","slug":"docs-4","link":"#docs-4","children":[]}]},{"level":2,"title":"V1.2.1 (2022-5-24)","slug":"v1-2-1-2022-5-24","link":"#v1-2-1-2022-5-24","children":[{"level":3,"title":"Features","slug":"features-6","link":"#features-6","children":[]},{"level":3,"title":"Docs","slug":"docs-5","link":"#docs-5","children":[]}]},{"level":2,"title":"V1.2.0 (2022-4-27)","slug":"v1-2-0-2022-4-27","link":"#v1-2-0-2022-4-27","children":[{"level":3,"title":"Features","slug":"features-7","link":"#features-7","children":[]},{"level":3,"title":"Docs","slug":"docs-6","link":"#docs-6","children":[]}]},{"level":2,"title":"V1.1.3 (2022-4-18)","slug":"v1-1-3-2022-4-18","link":"#v1-1-3-2022-4-18","children":[{"level":3,"title":"Features","slug":"features-8","link":"#features-8","children":[]},{"level":3,"title":"Docs","slug":"docs-7","link":"#docs-7","children":[]}]},{"level":2,"title":"V1.1.2 (2022-4-2)","slug":"v1-1-2-2022-4-2","link":"#v1-1-2-2022-4-2","children":[{"level":3,"title":"Features","slug":"features-9","link":"#features-9","children":[]},{"level":3,"title":"Docs","slug":"docs-8","link":"#docs-8","children":[]}]},{"level":2,"title":"V1.1.1 (2022-3-31)","slug":"v1-1-1-2022-3-31","link":"#v1-1-1-2022-3-31","children":[{"level":3,"title":"Features","slug":"features-10","link":"#features-10","children":[]},{"level":3,"title":"Docs","slug":"docs-9","link":"#docs-9","children":[]}]},{"level":2,"title":"V1.1.0 (2022-3-29)","slug":"v1-1-0-2022-3-29","link":"#v1-1-0-2022-3-29","children":[{"level":3,"title":"Features","slug":"features-11","link":"#features-11","children":[]},{"level":3,"title":"Bugfixes","slug":"bugfixes-2","link":"#bugfixes-2","children":[]},{"level":3,"title":"Docs","slug":"docs-10","link":"#docs-10","children":[]}]},{"level":2,"title":"V1.0.1 (2022-03-01)","slug":"v1-0-1-2022-03-01","link":"#v1-0-1-2022-03-01","children":[{"level":3,"title":"Features","slug":"features-12","link":"#features-12","children":[]},{"level":3,"title":"Bugfixes","slug":"bugfixes-3","link":"#bugfixes-3","children":[]},{"level":3,"title":"Docs","slug":"docs-11","link":"#docs-11","children":[]}]},{"level":2,"title":"V1.0.0","slug":"v1-0-0","link":"#v1-0-0","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/community/changelog.md"}');export{e as data}; diff --git a/assets/codeDeploy.html-0291e9cf.js b/assets/codeDeploy.html-0291e9cf.js new file mode 100644 index 000000000..53d61c013 --- /dev/null +++ b/assets/codeDeploy.html-0291e9cf.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-64f30f77","path":"/en/quickStarted/codeDeploy.html","title":"源代码快速部署","lang":"en-US","frontmatter":{},"headers":[],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/quickStarted/codeDeploy.md"}');export{e as data}; diff --git a/assets/codeDeploy.html-319b644b.js b/assets/codeDeploy.html-319b644b.js new file mode 100644 index 000000000..1a74b461d --- /dev/null +++ b/assets/codeDeploy.html-319b644b.js @@ -0,0 +1,7 @@ +import{_ as d,r as c,o as n,c as t,a as l,b as e,d as a,w as o,e as s}from"./app-2a91d8ab.js";const r={},h=l("h1",{id:"源代码快速部署",tabindex:"-1"},[l("a",{class:"header-anchor",href:"#源代码快速部署","aria-hidden":"true"},"#"),e(" 源代码快速部署")],-1),p=l("br",null,null,-1),u=s(`

    依赖环境

    • 系统环境

      • Linux
      • 最低配置:2核4G内存、100G硬盘存储空间
    • 环境准备

      提示

      TCA 一键部署脚本已封装好 Python、Mariadb、Redis 与 Nginx 安装步骤,无需自行安装本地部署体验可按 操作说明 内容直接进行部署操作。

      注意:生产环境建议使用专业的 MySQL、Redis 等服务

      • Python 3.7

      • MySQL 服务(MySQL5.7.8 以上版本或 Mariadb 10.5 以上版本)

      • Redis 服务(4.0版本以上)

      • Nginx 服务

    • 权限准备

      • 环境权限:安装 Server 依赖软件(python、nginx、yum 等软件包)需要使用 ROOT 权限
        • 启动 Server 服务时可以使用非 ROOT 用户运行
      • 数据库权限:Server 服务执行数据库初始化需要依赖 CREATE、ALTER、INDEX、DELETE、LOCK TABLES、SELECT、INSERT、REFERENCES、UPDATE 权限
    • 端口使用:需要开放80端口的访问权限(80为TCA平台默认访问端口),或调整 Web 服务默认的访问端口地址

    操作说明

    首次启动操作
    1. 进入 CodeAnalysis 工作目录(例如~/CodeAnalysis),以下路径均为目录内的相对路径

    2. 安装基础软件与部署 TCA(可根据脚本选项确定是否要安装 Python、MySQL、Redis、Nginx 相关基础软件),执行

    $ bash ./quick_install.sh local deploy
    +

    执行该命令会做以下四个步骤:

    • Install:检测本地 Python3.7、Mariadb/MySQL、Redis 与 Nginx,如果不存在会提示安装
    • Init:部署 TCA Server、Web与Client,并进行初始化
    • Start:启动 TCA Server、Web与Client
    • Check:检测 TCA 的运行状态

    注意:在运行过程中,脚本会检测本地是否安装了相关基础软件(Python3.7、MySQL/Mariadb、Redis、Nignx),如果未安装会输出以下类似提示语:

    Do you want to install [Redis] by this script?
    +Please enter:[Y/N]
    +

    如果确定通过脚本安装可以输入Y

    1. 执行完成,无其他报错,即可登录:
    `,12),b={class:"custom-container tip"},_=l("p",{class:"custom-container-title"},"提示",-1),g=l("code",null,"http://部署机器IP/",-1),m=l("br",null,null,-1),v=l("p",null,"默认平台登录账号/密码:CodeDog/admin",-1),E=l("p",null,"如部署过程中,已调整默认账号密码,请按照调整后的账号密码进行登录",-1),y=s(`
    更新操作

    1. 更新代码

    2. 执行以下命令

    bash ./quick_install.sh local install tca  #更新相关配置
    +bash ./quick_install.sh local start  #启动服务(会自动关闭之前的服务)
    +bash ./quick_install.sh local check  #检查服务是否启动失败
    +

    注意:
    local install命令行参数说明:
    - base:安装 Python、Mariadb/MySQL、Redis 与 Nginx
    - tca:初始化或更新 TCA Server、Web、Client 相关配置和数据
    - server:初始化或更新 TCA Server 相关配置和数据
    - web:初始化或更新 TCA Web 相关配置和数据
    - client:初始化或更新 TCA Client 相关配置和数据
    - 不填参数,默认会执行basetca相关操作

    启动和停止服务
    • 启动所有服务:bash ./quick_install.sh local start

    • 启动Main相关服务:bash ./quick_install.sh local start main

      • local start支持启动指定服务,如上述的启动Main服务,还支持mysql/redis/analysis/file/login/scmproxy/nginx/client/all
    • 停止所有服务:bash ./quick_install.sh local stop

    • 停止Main相关服务:bash ./quick_install.sh local stop main

      • local stop支持停止指定服务,如上述的停止Main服务,还支持analysis/file/login/scmproxy/nginx/client/all

    注意:

    1. 启动时会自动关闭之前已经运行的服务

    2. mysqlredis默认会使用systemctl进行启动,如果systemctl无法使用,则会直接使用nohup方式运行相关服务

    检查服务运行状态

    检查服务运行状态:bash ./quick_install.sh local check

    • 目前支持检查 server 与 web,暂不支持 client
    获取服务输出日志

    打印 TCA Server 各个服务的日志路径: bash ./quick_install.sh local log

    `,14);function A(C,x){const i=c("RouterLink");return n(),t("div",null,[h,l("p",null,[e("TCA提供部署脚本,支持一键式快速部署Server、Web、Client。"),p,e(" 脚本共提供三种部署方式:"),a(i,{to:"/zh/quickStarted/dockerDeploy.html"},{default:o(()=>[e("Docker部署(平台体验首推)")]),_:1}),e("、"),a(i,{to:"/zh/quickStarted/dockercomposeDeploy.html"},{default:o(()=>[e("Docker-Compose部署")]),_:1}),e("、源码部署, 可根据您的具体使用场景任意选择其一进行部署。")]),u,l("div",b,[_,l("p",null,[e("至此,您已完成 TCA 平台部署,请在浏览器输入"),g,e(",点击立即体验,完成登录后即可开启您的腾讯云代码分析。"),m,e(" 平台内操作指引请查看:"),a(i,{to:"/zh/guide/%E5%BF%AB%E9%80%9F%E5%85%A5%E9%97%A8/%E5%BF%AB%E9%80%9F%E5%90%AF%E5%8A%A8%E4%B8%80%E6%AC%A1%E4%BB%A3%E7%A0%81%E5%88%86%E6%9E%90.html"},{default:o(()=>[e("快速启动一次代码分析")]),_:1})]),v,E]),y])}const k=d(r,[["render",A],["__file","codeDeploy.html.vue"]]);export{k as default}; diff --git a/assets/codeDeploy.html-bfd1275a.js b/assets/codeDeploy.html-bfd1275a.js new file mode 100644 index 000000000..d53d0aa17 --- /dev/null +++ b/assets/codeDeploy.html-bfd1275a.js @@ -0,0 +1,7 @@ +import{_ as d,r as c,o as n,c as t,a as l,b as e,d as a,w as o,e as s}from"./app-2a91d8ab.js";const r={},h=l("h1",{id:"源代码快速部署",tabindex:"-1"},[l("a",{class:"header-anchor",href:"#源代码快速部署","aria-hidden":"true"},"#"),e(" 源代码快速部署")],-1),p=l("br",null,null,-1),u=s(`

    依赖环境

    • 系统环境

      • Linux
      • 最低配置:2核4G内存、100G硬盘存储空间
    • 环境准备

      TIP

      TCA 一键部署脚本已封装好 Python、Mariadb、Redis 与 Nginx 安装步骤,无需自行安装本地部署体验可按 操作说明 内容直接进行部署操作。

      注意:生产环境建议使用专业的 MySQL、Redis 等服务

      • Python 3.7

      • MySQL 服务(MySQL5.7.8 以上版本或 Mariadb 10.5 以上版本)

      • Redis 服务(4.0版本以上)

      • Nginx 服务

    • 权限准备

      • 环境权限:安装 Server 依赖软件(python、nginx、yum 等软件包)需要使用 ROOT 权限
        • 启动 Server 服务时可以使用非 ROOT 用户运行
      • 数据库权限:Server 服务执行数据库初始化需要依赖 CREATE、ALTER、INDEX、DELETE、LOCK TABLES、SELECT、INSERT、REFERENCES、UPDATE 权限
    • 端口使用:需要开放80端口的访问权限(80为TCA平台默认访问端口),或调整 Web 服务默认的访问端口地址

    操作说明

    首次启动操作
    1. 进入 CodeAnalysis 工作目录(例如~/CodeAnalysis),以下路径均为目录内的相对路径

    2. 安装基础软件与部署 TCA(可根据脚本选项确定是否要安装 Python、MySQL、Redis、Nginx 相关基础软件),执行

    $ bash ./quick_install.sh local deploy
    +

    执行该命令会做以下四个步骤:

    • Install:检测本地 Python3.7、Mariadb/MySQL、Redis 与 Nginx,如果不存在会提示安装
    • Init:部署 TCA Server、Web与Client,并进行初始化
    • Start:启动 TCA Server、Web与Client
    • Check:检测 TCA 的运行状态

    注意:在运行过程中,脚本会检测本地是否安装了相关基础软件(Python3.7、MySQL/Mariadb、Redis、Nignx),如果未安装会输出以下类似提示语:

    Do you want to install [Redis] by this script?
    +Please enter:[Y/N]
    +

    如果确定通过脚本安装可以输入Y

    1. 执行完成,无其他报错,即可登录:
    `,12),b={class:"custom-container tip"},_=l("p",{class:"custom-container-title"},"TIP",-1),g=l("code",null,"http://部署机器IP/",-1),m=l("br",null,null,-1),v=l("p",null,"默认平台登录账号/密码:CodeDog/admin",-1),E=l("p",null,"如部署过程中,已调整默认账号密码,请按照调整后的账号密码进行登录",-1),y=s(`
    更新操作

    1. 更新代码

    2. 执行以下命令

    bash ./quick_install.sh local install tca  #更新相关配置
    +bash ./quick_install.sh local start  #启动服务(会自动关闭之前的服务)
    +bash ./quick_install.sh local check  #检查服务是否启动失败
    +

    注意:
    local install命令行参数说明:
    - base:安装 Python、Mariadb/MySQL、Redis 与 Nginx
    - tca:初始化或更新 TCA Server、Web、Client 相关配置和数据
    - server:初始化或更新 TCA Server 相关配置和数据
    - web:初始化或更新 TCA Web 相关配置和数据
    - client:初始化或更新 TCA Client 相关配置和数据
    - 不填参数,默认会执行basetca相关操作

    启动和停止服务
    • 启动所有服务:bash ./quick_install.sh local start

    • 启动Main相关服务:bash ./quick_install.sh local start main

      • local start支持启动指定服务,如上述的启动Main服务,还支持mysql/redis/analysis/file/login/scmproxy/nginx/client/all
    • 停止所有服务:bash ./quick_install.sh local stop

    • 停止Main相关服务:bash ./quick_install.sh local stop main

      • local stop支持停止指定服务,如上述的停止Main服务,还支持analysis/file/login/scmproxy/nginx/client/all

    注意:

    1. 启动时会自动关闭之前已经运行的服务

    2. mysqlredis默认会使用systemctl进行启动,如果systemctl无法使用,则会直接使用nohup方式运行相关服务

    检查服务运行状态

    检查服务运行状态:bash ./quick_install.sh local check

    • 目前支持检查 server 与 web,暂不支持 client
    获取服务输出日志

    打印 TCA Server 各个服务的日志路径: bash ./quick_install.sh local log

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    格式化工具

    为了帮助你正确地格式化代码,我们建议你使用clang-format进行代码自动格式化。工具可直接通过 Homebrew 进行安装:

    brew install clang-format
    +

    安装完成后将 .clang-format 配置文件置于工程根目录,执行 clang-format -i FILE.m 即可完成自动格式化。目前格式化工具配置仅支持11.0版本。

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    启用规则包

    分析方案 -> 代码检查 ->【Objective-C】代码规范规则包 -> 启用/查看规则。

    格式化工具

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    +

    安装完成后将 .clang-format 配置文件置于工程根目录,执行 clang-format -i FILE.m 即可完成自动格式化。目前格式化工具配置仅支持11.0版本。

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    概述

    该规则包可分析项目依赖组件,以及依赖组件中是否存在漏洞等问题。辅助开发者准确分析到依赖组件的安全性,选用安全可靠的依赖组件。

    规则包中将漏洞规则分为“低危漏洞”、“中危漏洞”、“高危漏洞”三个等级,扫描出有漏洞的组件,TCA会提供问题组件名称和版本、漏洞情况介绍,以及可用的修复版本(如获取到)。

    已支持语言:C/C++、C#、Go、Java、JavaScript、PHP、Python、Ruby、Scala、TypeScript等。

    示例

    <?xml version="1.0" encoding="UTF-8"?>
    +<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    +         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    +
    +    <parent>
    +        <groupId>org.javaweb.vuln</groupId>
    +        <artifactId>javaweb-vuln</artifactId>
    +        <version>3.0.3</version>
    +    </parent>
    +
    +    <dependencies>
    +
    +        <dependency>
    +            <groupId>org.apache.struts</groupId>
    +            <artifactId>struts2-core</artifactId>
    +            <!-- 触发规则  -->
    +            <version>2.1.8</version>
    +            <exclusions>
    +                <exclusion>
    +                    <groupId>org.freemarker</groupId>
    +                    <artifactId>freemarker</artifactId>
    +                </exclusion>
    +
    +                <exclusion>
    +                    <groupId>org.springframework</groupId>
    +                    <artifactId>spring-test</artifactId>
    +                </exclusion>
    +
    +                <exclusion>
    +                    <groupId>commons-fileupload</groupId>
    +                    <artifactId>commons-fileupload</artifactId>
    +                </exclusion>
    +            </exclusions>
    +        </dependency>
    +
    +    </dependencies>
    +
    +</project>
    +

    快速体验

    TCA 现已支持依赖漏洞扫描规则包,可以在 TCA 分析方案中搜索勾选该规则包,快速体验。

    启用规则包

    分析方案 -> 代码检查 ->【Objective-C】代码规范规则包 -> 启用/查看规则。

    更多

    更多场景支持,欢迎提 issue 进行咨询扩展。

    `,13),d=[a];function s(r,c){return n(),i("div",null,d)}const u=e(l,[["render",s],["__file","dependency_vul.html.vue"]]);export{u as default}; diff --git a/assets/dependency_vul.html-da9f0e2b.js b/assets/dependency_vul.html-da9f0e2b.js new file mode 100644 index 000000000..88a633909 --- /dev/null +++ b/assets/dependency_vul.html-da9f0e2b.js @@ -0,0 +1,39 @@ +import{_ as e,o as n,c as i,e as t}from"./app-2a91d8ab.js";const l={},a=t(`

    依赖漏洞扫描规则包

    概述

    该规则包可分析项目依赖组件,以及依赖组件中是否存在漏洞等问题。辅助开发者准确分析到依赖组件的安全性,选用安全可靠的依赖组件。

    规则包中将漏洞规则分为“低危漏洞”、“中危漏洞”、“高危漏洞”三个等级,扫描出有漏洞的组件,TCA会提供问题组件名称和版本、漏洞情况介绍,以及可用的修复版本(如获取到)。

    已支持语言:C/C++、C#、Go、Java、JavaScript、PHP、Python、Ruby、Scala、TypeScript等。

    示例

    <?xml version="1.0" encoding="UTF-8"?>
    +<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    +         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    +
    +    <parent>
    +        <groupId>org.javaweb.vuln</groupId>
    +        <artifactId>javaweb-vuln</artifactId>
    +        <version>3.0.3</version>
    +    </parent>
    +
    +    <dependencies>
    +
    +        <dependency>
    +            <groupId>org.apache.struts</groupId>
    +            <artifactId>struts2-core</artifactId>
    +            <!-- 触发规则  -->
    +            <version>2.1.8</version>
    +            <exclusions>
    +                <exclusion>
    +                    <groupId>org.freemarker</groupId>
    +                    <artifactId>freemarker</artifactId>
    +                </exclusion>
    +
    +                <exclusion>
    +                    <groupId>org.springframework</groupId>
    +                    <artifactId>spring-test</artifactId>
    +                </exclusion>
    +
    +                <exclusion>
    +                    <groupId>commons-fileupload</groupId>
    +                    <artifactId>commons-fileupload</artifactId>
    +                </exclusion>
    +            </exclusions>
    +        </dependency>
    +
    +    </dependencies>
    +
    +</project>
    +

    快速体验

    TCA 现已支持依赖漏洞扫描规则包,可以在 TCA 分析方案中搜索勾选该规则包,快速体验。

    启用规则包

    分析方案 -> 代码检查 ->【Objective-C】代码规范规则包 -> 启用/查看规则。

    更多

    更多场景支持,欢迎提 issue 进行咨询扩展。

    `,13),d=[a];function s(r,c){return n(),i("div",null,d)}const u=e(l,[["render",s],["__file","dependency_vul.html.vue"]]);export{u as default}; diff --git a/assets/dependency_vul.html-f875aa89.js b/assets/dependency_vul.html-f875aa89.js new file mode 100644 index 000000000..06ffd310b --- /dev/null +++ b/assets/dependency_vul.html-f875aa89.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-c54ad424","path":"/en/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E8%A7%84%E5%88%99%E5%8C%85/dependency_vul.html","title":"依赖漏洞扫描规则包","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"概述","slug":"概述","link":"#概述","children":[]},{"level":2,"title":"示例","slug":"示例","link":"#示例","children":[]},{"level":2,"title":"快速体验","slug":"快速体验","link":"#快速体验","children":[{"level":3,"title":"启用规则包","slug":"启用规则包","link":"#启用规则包","children":[]},{"level":3,"title":"更多","slug":"更多","link":"#更多","children":[]}]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/guide/代码检查/规则包/dependency_vul.md"}');export{e as data}; diff --git a/assets/deployClient.html-26310b53.js b/assets/deployClient.html-26310b53.js new file mode 100644 index 000000000..1053a7b88 --- /dev/null +++ b/assets/deployClient.html-26310b53.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-2af89834","path":"/zh/quickStarted/deployClient.html","title":"部署与配置客户端","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"通过源代码","slug":"通过源代码","link":"#通过源代码","children":[{"level":3,"title":"依赖环境","slug":"依赖环境","link":"#依赖环境","children":[]},{"level":3,"title":"使用步骤","slug":"使用步骤","link":"#使用步骤","children":[]}]},{"level":2,"title":"通过Docker-Compose","slug":"通过docker-compose","link":"#通过docker-compose","children":[{"level":3,"title":"使用步骤","slug":"使用步骤-1","link":"#使用步骤-1","children":[]}]},{"level":2,"title":"通过可执行文件","slug":"通过可执行文件","link":"#通过可执行文件","children":[{"level":3,"title":"依赖环境","slug":"依赖环境-1","link":"#依赖环境-1","children":[]},{"level":3,"title":"使用步骤","slug":"使用步骤-2","link":"#使用步骤-2","children":[]}]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/quickStarted/deployClient.md"}');export{l as data}; diff --git a/assets/deployClient.html-9dc0de26.js b/assets/deployClient.html-9dc0de26.js new file mode 100644 index 000000000..238868ae7 --- /dev/null +++ b/assets/deployClient.html-9dc0de26.js @@ -0,0 +1,25 @@ +import{_ as o}from"./personalToken-2ae175b9.js";import{_ as t,r as c,o as r,c as h,a as e,b as n,d as i,w as l,e as a}from"./app-2a91d8ab.js";const u={},p=a('

    部署与配置客户端

    通过源代码

    依赖环境

    ',3),m=e("li",null,[e("p",null,"系统环境"),e("ul",null,[e("li",null,"Linux,Windows或macOS")])],-1),v=e("p",null,"环境准备",-1),_=e("strong",null,"Python 3.7",-1),b=a(`

    使用步骤

    安装第三方库

    # 源码根目录下执行
    +pip3 install -r client/requirements/app_reqs.pip
    +

    安装第三方工具

    # 源码根目录
    +cd client/requirements
    +
    +# 执行安装脚本
    +# Linux/macOS环境
    +./install.sh
    +# Windows环境
    +./install.bat
    +

    配置客户端

    • 配置 client/config.ini 文件

      <Server IP地址> 替换成实际的serve ip(可包含端口号)。

      客户端执行环境配置

    • 配置 client/codedog.ini 文件

      必填项:tokenorg_sidteam_namesource_dir

      • 个人令牌 - token:从 TCA 页面获取,前往[个人中心]-[个人令牌]-复制Token

        personalToken

      • 团队编号 - org_sid:进入 TCA 项目概览页,从 URL 中获取

      • 项目名称 - team_name::进入 TCA 项目概览页,从 URL 中获取

        TIP

        项目概览URL格式:http://{域名}/t/{org_sid}/p/{team_name}/profile

      • 分析路径 - source_dir: 本地代码目录路径

      TIP

      • 如果项目代码为编译型语言(比如:C/C++,C#,Go,Java,Kotlin,Objective-C等),且使用的分析方案中配置了编译型工具(如图,使用了OC推荐规则包),需要填写build_cmd编译命令。

      • 其他可选项按需填写,不填写时按默认配置执行

    启动客户端

    # 源码根目录
    +cd client
    +
    +# 执行客户端脚本
    +python3 codepuppy.py localscan
    +

    WARNING

    Client 的实现及启动脚本均依赖 Python3 版本为 3.7,可执行 python3 --version 查看版本。若版本有误,可安装版本为3.7的python并软链接到python3命令。

    `,10),g={class:"custom-container tip"},f=e("p",{class:"custom-container-title"},"TIP",-1),x=e("li",null,[e("p",null,[e("code",null,"codedog.ini"),n(" 各项参数可由命令行传入,获取详细参数说明可运行 "),e("code",null,"python3 codepuppy.py localscan -h")])],-1),k=e("code",null,"localscan",-1),E=a('

    通过Docker-Compose

    TIP

    适用于快速上手体验。使用docker运行,可以免去客户端环境依赖的安装,避免环境兼容性问题。

    但是由于环境受限于docker,会无法复用本地的编译环境,部分需要编译的工具无法使用。

    使用步骤

    配置客户端

    • 配置 client/config.ini 文件

    • 配置 client/codedog.ini 文件

    ',5),C={class:"custom-container tip"},A=e("p",{class:"custom-container-title"},"TIP",-1),y=e("h4",{id:"构建镜像",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#构建镜像","aria-hidden":"true"},"#"),n(" 构建镜像")],-1),B={href:"https://docs.docker.com/engine/install/",target:"_blank",rel:"noopener noreferrer"},R={href:"https://docs.docker.com/compose/install/",target:"_blank",rel:"noopener noreferrer"},I=e("li",null,[e("p",null,[n("进入"),e("code",null,"client"),n("目录,构建docker镜像")])],-1),D=a(`
    docker build -t tca-client .
    +

    启动客户端

    方案一:直接使用docker运行

    进入client目录,执行以下命令

    # 按照实际情况填写\`SOURCE_DIR\`环境变量值
    +export SOURCE_DIR=需要扫描的代码目录绝对路径
    +docker run -it --rm  -v $PWD:/workspace/client -v $SOURCE_DIR:/workspace/src  --name tca-client tca-client
    +
    方案二:使用docker内bash终端运行
    1. 进入docker容器内的bash终端

      # 按照实际情况填写\`SOURCE_DIR\`环境变量值
      +export SOURCE_DIR=需要扫描的代码目录绝对路径
      +docker run -it --rm  -v $PWD:/workspace/client -v $SOURCE_DIR:/workspace/src --name tca-client tca-client bash
      +
    2. 通过命令行启动client代码

      python3 codepuppy.py localscan
      +

    通过可执行文件

    依赖环境

    • 系统环境

      • Linux,Windows或macOS

    使用步骤

    下载客户端

    `,12),S={href:"https://github.com/Tencent/CodeAnalysis/releases",target:"_blank",rel:"noopener noreferrer"},T=e("li",null,[e("p",null,"解压缩。")],-1),O=e("h4",{id:"配置客户端-2",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#配置客户端-2","aria-hidden":"true"},"#"),n(" 配置客户端")],-1),P=e("ul",null,[e("li",null,[e("p",null,[n("配置 "),e("code",null,"client/config.ini"),n(" 文件")])]),e("li",null,[e("p",null,[n("配置 "),e("code",null,"client/codedog.ini"),n(" 文件")])])],-1),w={class:"custom-container tip"},L=e("p",{class:"custom-container-title"},"TIP",-1),U=a(`

    启动客户端

    进入到client目录下,执行客户端

    ./codepuppy localscan
    +
    `,3);function q(F,N){const d=c("RouterLink"),s=c("ExternalLinkIcon");return r(),h("div",null,[p,e("ul",null,[m,e("li",null,[v,e("ul",null,[e("li",null,[_,n(","),i(d,{to:"/en/quickStarted/references/install_python37_on_centos.html"},{default:l(()=>[n("安装指引")]),_:1})])])])]),b,e("div",g,[f,e("ul",null,[x,e("li",null,[e("p",null,[n("使用"),k,n("命令启动本地单次的代码分析,如需启动分布式并行分析任务,请参考"),i(d,{to:"/en/client/#%E4%BA%94%E4%BD%BF%E7%94%A8%E5%88%86%E5%B8%83%E5%BC%8F%E8%8A%82%E7%82%B9%E6%A8%A1%E5%BC%8F%E6%89%A7%E8%A1%8C%E5%AE%A2%E6%88%B7%E7%AB%AF"},{default:l(()=>[n("使用分布式节点模式")]),_:1}),n("进行配置。")])])])]),E,e("div",C,[A,e("p",null,[n("同通过源代码使用-"),i(d,{to:"/en/quickStarted/deployClient.html#%E9%85%8D%E7%BD%AE%E5%AE%A2%E6%88%B7%E7%AB%AF"},{default:l(()=>[n("配置客户端")]),_:1})])]),y,e("ol",null,[e("li",null,[e("p",null,[n("安装Docker,安装教程:"),e("a",B,[n("官方文档"),i(s)])])]),e("li",null,[e("p",null,[n("安装Docker-Compose,安装教程:"),e("a",R,[n("官方文档"),i(s)])])]),I]),D,e("ol",null,[e("li",null,[e("p",null,[n("从"),e("a",S,[n("发布页面"),i(s)]),n("下载与系统相对应的客户端压缩包到本地。")])]),T]),O,P,e("div",w,[L,e("p",null,[n("同通过源代码使用-"),i(d,{to:"/en/quickStarted/deployClient.html#%E9%85%8D%E7%BD%AE%E5%AE%A2%E6%88%B7%E7%AB%AF"},{default:l(()=>[n("配置客户端")]),_:1})])]),U])}const $=t(u,[["render",q],["__file","deployClient.html.vue"]]);export{$ as default}; diff --git a/assets/deployClient.html-a08e0f33.js b/assets/deployClient.html-a08e0f33.js new file mode 100644 index 000000000..eeffef3d7 --- /dev/null +++ b/assets/deployClient.html-a08e0f33.js @@ -0,0 +1,25 @@ +import{_ as o}from"./personalToken-2ae175b9.js";import{_ as t,r as c,o as r,c as h,a as e,b as n,d as i,w as l,e as a}from"./app-2a91d8ab.js";const u={},p=a('

    部署与配置客户端

    通过源代码

    依赖环境

    ',3),m=e("li",null,[e("p",null,"系统环境"),e("ul",null,[e("li",null,"Linux,Windows或macOS")])],-1),v=e("p",null,"环境准备",-1),_=e("strong",null,"Python 3.7",-1),b=a(`

    使用步骤

    安装第三方库

    # 源码根目录下执行
    +pip3 install -r client/requirements/app_reqs.pip
    +

    安装第三方工具

    # 源码根目录
    +cd client/requirements
    +
    +# 执行安装脚本
    +# Linux/macOS环境
    +./install.sh
    +# Windows环境
    +./install.bat
    +

    配置客户端

    • 配置 client/config.ini 文件

      <Server IP地址> 替换成实际的serve ip(可包含端口号)。

      客户端执行环境配置

    • 配置 client/codedog.ini 文件

      必填项:tokenorg_sidteam_namesource_dir

      • 个人令牌 - token:从 TCA 页面获取,前往[个人中心]-[个人令牌]-复制Token

        personalToken

      • 团队编号 - org_sid:进入 TCA 项目概览页,从 URL 中获取

      • 项目名称 - team_name::进入 TCA 项目概览页,从 URL 中获取

        提示

        项目概览URL格式:http://{域名}/t/{org_sid}/p/{team_name}/profile

      • 分析路径 - source_dir: 本地代码目录路径

      提示

      • 如果项目代码为编译型语言(比如:C/C++,C#,Go,Java,Kotlin,Objective-C等),且使用的分析方案中配置了编译型工具(如图,使用了OC推荐规则包),需要填写build_cmd编译命令。

      • 其他可选项按需填写,不填写时按默认配置执行

    启动客户端

    # 源码根目录
    +cd client
    +
    +# 执行客户端脚本
    +python3 codepuppy.py localscan
    +

    注意

    Client 的实现及启动脚本均依赖 Python3 版本为 3.7,可执行 python3 --version 查看版本。若版本有误,可安装版本为3.7的python并软链接到python3命令。

    `,10),g={class:"custom-container tip"},f=e("p",{class:"custom-container-title"},"提示",-1),x=e("li",null,[e("p",null,[e("code",null,"codedog.ini"),n(" 各项参数可由命令行传入,获取详细参数说明可运行 "),e("code",null,"python3 codepuppy.py localscan -h")])],-1),k=e("code",null,"localscan",-1),E=a('

    通过Docker-Compose

    提示

    适用于快速上手体验。使用docker运行,可以免去客户端环境依赖的安装,避免环境兼容性问题。

    但是由于环境受限于docker,会无法复用本地的编译环境,部分需要编译的工具无法使用。

    使用步骤

    配置客户端

    • 配置 client/config.ini 文件

    • 配置 client/codedog.ini 文件

    ',5),C={class:"custom-container tip"},A=e("p",{class:"custom-container-title"},"提示",-1),y=e("h4",{id:"构建镜像",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#构建镜像","aria-hidden":"true"},"#"),n(" 构建镜像")],-1),B={href:"https://docs.docker.com/engine/install/",target:"_blank",rel:"noopener noreferrer"},R={href:"https://docs.docker.com/compose/install/",target:"_blank",rel:"noopener noreferrer"},D=e("li",null,[e("p",null,[n("进入"),e("code",null,"client"),n("目录,构建docker镜像")])],-1),S=a(`
    docker build -t tca-client .
    +

    启动客户端

    方案一:直接使用docker运行

    进入client目录,执行以下命令

    # 按照实际情况填写\`SOURCE_DIR\`环境变量值
    +export SOURCE_DIR=需要扫描的代码目录绝对路径
    +docker run -it --rm  -v $PWD:/workspace/client -v $SOURCE_DIR:/workspace/src  --name tca-client tca-client
    +
    方案二:使用docker内bash终端运行
    1. 进入docker容器内的bash终端

      # 按照实际情况填写\`SOURCE_DIR\`环境变量值
      +export SOURCE_DIR=需要扫描的代码目录绝对路径
      +docker run -it --rm  -v $PWD:/workspace/client -v $SOURCE_DIR:/workspace/src --name tca-client tca-client bash
      +
    2. 通过命令行启动client代码

      python3 codepuppy.py localscan
      +

    通过可执行文件

    依赖环境

    • 系统环境

      • Linux,Windows或macOS

    使用步骤

    下载客户端

    `,12),O={href:"https://github.com/Tencent/CodeAnalysis/releases",target:"_blank",rel:"noopener noreferrer"},w=e("li",null,[e("p",null,"解压缩。")],-1),I=e("h4",{id:"配置客户端-2",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#配置客户端-2","aria-hidden":"true"},"#"),n(" 配置客户端")],-1),L=e("ul",null,[e("li",null,[e("p",null,[n("配置 "),e("code",null,"client/config.ini"),n(" 文件")])]),e("li",null,[e("p",null,[n("配置 "),e("code",null,"client/codedog.ini"),n(" 文件")])])],-1),U={class:"custom-container tip"},T=e("p",{class:"custom-container-title"},"提示",-1),q=a(`

    启动客户端

    进入到client目录下,执行客户端

    ./codepuppy localscan
    +
    `,3);function F(P,W){const d=c("RouterLink"),s=c("ExternalLinkIcon");return r(),h("div",null,[p,e("ul",null,[m,e("li",null,[v,e("ul",null,[e("li",null,[_,n(","),i(d,{to:"/zh/quickStarted/references/install_python37_on_centos.html"},{default:l(()=>[n("安装指引")]),_:1})])])])]),b,e("div",g,[f,e("ul",null,[x,e("li",null,[e("p",null,[n("使用"),k,n("命令启动本地单次的代码分析,如需启动分布式并行分析任务,请参考"),i(d,{to:"/zh/client/#%E4%BA%94%E4%BD%BF%E7%94%A8%E5%88%86%E5%B8%83%E5%BC%8F%E8%8A%82%E7%82%B9%E6%A8%A1%E5%BC%8F%E6%89%A7%E8%A1%8C%E5%AE%A2%E6%88%B7%E7%AB%AF"},{default:l(()=>[n("使用分布式节点模式")]),_:1}),n("进行配置。")])])])]),E,e("div",C,[A,e("p",null,[n("同通过源代码使用-"),i(d,{to:"/zh/quickStarted/deployClient.html#%E9%85%8D%E7%BD%AE%E5%AE%A2%E6%88%B7%E7%AB%AF"},{default:l(()=>[n("配置客户端")]),_:1})])]),y,e("ol",null,[e("li",null,[e("p",null,[n("安装Docker,安装教程:"),e("a",B,[n("官方文档"),i(s)])])]),e("li",null,[e("p",null,[n("安装Docker-Compose,安装教程:"),e("a",R,[n("官方文档"),i(s)])])]),D]),S,e("ol",null,[e("li",null,[e("p",null,[n("从"),e("a",O,[n("发布页面"),i(s)]),n("下载与系统相对应的客户端压缩包到本地。")])]),w]),I,L,e("div",U,[T,e("p",null,[n("同通过源代码使用-"),i(d,{to:"/zh/quickStarted/deployClient.html#%E9%85%8D%E7%BD%AE%E5%AE%A2%E6%88%B7%E7%AB%AF"},{default:l(()=>[n("配置客户端")]),_:1})])]),q])}const V=t(u,[["render",F],["__file","deployClient.html.vue"]]);export{V as default}; diff --git a/assets/deployClient.html-f23ed8d2.js b/assets/deployClient.html-f23ed8d2.js new file mode 100644 index 000000000..b3ba00d3a --- /dev/null +++ b/assets/deployClient.html-f23ed8d2.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-0967ab59","path":"/en/quickStarted/deployClient.html","title":"部署与配置客户端","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"通过源代码","slug":"通过源代码","link":"#通过源代码","children":[{"level":3,"title":"依赖环境","slug":"依赖环境","link":"#依赖环境","children":[]},{"level":3,"title":"使用步骤","slug":"使用步骤","link":"#使用步骤","children":[]}]},{"level":2,"title":"通过Docker-Compose","slug":"通过docker-compose","link":"#通过docker-compose","children":[{"level":3,"title":"使用步骤","slug":"使用步骤-1","link":"#使用步骤-1","children":[]}]},{"level":2,"title":"通过可执行文件","slug":"通过可执行文件","link":"#通过可执行文件","children":[{"level":3,"title":"依赖环境","slug":"依赖环境-1","link":"#依赖环境-1","children":[]},{"level":3,"title":"使用步骤","slug":"使用步骤-2","link":"#使用步骤-2","children":[]}]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/quickStarted/deployClient.md"}');export{e as data}; diff --git a/assets/deploySever.html-1f528b16.js b/assets/deploySever.html-1f528b16.js new file mode 100644 index 000000000..d66a12a5d --- /dev/null +++ b/assets/deploySever.html-1f528b16.js @@ -0,0 +1,4 @@ +import{_ as s,a as o,b as c}from"./planPage-27225805.js";import{_ as r}from"./start_scan_02-3fe00a0e.js";import{_ as n,a as h,b as u}from"./start_scan_04-65ab4d48.js";import{_ as p,r as _,o as m,c as E,a as e,b as a,d,w as l,e as t}from"./app-2a91d8ab.js";const A={},b=e("h1",{id:"部署-tca",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#部署-tca","aria-hidden":"true"},"#"),a(" 部署 TCA")],-1),v=e("br",null,null,-1),f=t(`

    Docker快速部署

    WARNING

    仅适用于Docker部署体验,生产环境建议使用专业的 MySQL、Redis 等服务

    依赖环境

    • 系统环境
      • Linux、macOS、Windows
      • 最低配置:2核4G内存、100G硬盘存储空间
    • 环境准备
      • Docker
    • 权限准备
      • 需要开放80、8000端口的访问权限(80为TCA平台访问端口,8000为TCA Server访问端口)

    部署对象

    Server、Web 与 Client

    操作说明

    首次启动操作

    1. 进入CodeAnalysis工作目录(例如~/CodeAnalysis),以下路径均为目录内的相对路径
    2. 执行命令:
      bash ./quick_install.sh docker deploy
      +

    TIP

    通过Docker部署默认会在当前根目录下的挂载三个路径:

    • .docker_temp/logs:容器内的/var/log/tca/,存放TCA平台的日输出文件;
    • .docker_temp/data:容器内的/var/opt/tca/, 存放TCA平台的服务数据,主要是Mariadb、Redis;
    • .docker_temp/configs:容器内的/etc/tca,存放TCA平台的配置文件,主要是config.sh

    更新操作

    1. 更新代码
    2. 执行以下命令:
      • TCA_IMAGE_BUILD=true ./quick_install.sh docker deploy:重新构建并启动tca容器

    TIP

    TCA_IMAGE_BUILD=true表示从本地构建TCA镜像运行

    运行容器

    如果已经在机器上执行过docker deploy,并保留容器数据的,可以执行以下命令启动容器,继续运行TCA

    bash ./quick_install.sh docker start
    +

    停止容器

    如果容器正在运行,希望停止容器,可以运行

    bash ./quick_install.sh docker stop
    +

    使用TCA

    成功部署TCA后,请开始您的代码分析。

    进入平台页面

    在浏览器输入http://部署机器IP/,点击立即体验,完成登录后即可跳转到团队列表页

    TIP

    默认平台登录账号/密码:CodeDog/admin

    如部署过程中,已调整默认账号密码,请按照调整后的账号密码进行登录

    创建团队及项目

    • 完成团队创建

    • 完成项目创建

    登记代码库

    登记代码库,输入代码库地址以及凭证信息等,完成代码库登记。

    registerCodeRepo

    创建分析项目

    开始分析

    TIP

    1. 用户可选择使用分析方案模板,或创建分析方案的方式,利用方案的分析配置进行代码分析。
    2. 点击确认时,平台会首先创建该代码库的分析方案,然后根据代码库分支、当前分析方案创建分析项目。

    分析方案说明

    ',33),g=e("li",null,[e("p",null,"分析方案是用于对代码库进行分析的一套配置集合。")],-1),x=e("p",null,[e("img",{src:o,alt:"creataAnalysePlan"})],-1),C={class:"custom-container tip"},k=e("p",{class:"custom-container-title"},"TIP",-1),B=e("p",null,[e("img",{src:c,alt:"planPage"})],-1),T=e("h2",{id:"执行代码分析",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#执行代码分析","aria-hidden":"true"},"#"),a(" 执行代码分析")],-1),D=e("p",null,[a("初始化创建项目后,可通过 "),e("code",null,"在线分析"),a(" 或 "),e("code",null,"客户端分析"),a(" 来启动代码分析。")],-1),I=e("p",null,[e("img",{src:n,alt:"代码分析"})],-1),y={class:"custom-container tip"},S=e("p",{class:"custom-container-title"},"TIP",-1),P=e("li",null,[a("TCA推荐使用"),e("code",null,"在线分析"),a(",您可根据具体使用场景选择其一。")],-1),L=e("li",null,[e("code",null,"在线分析"),a("表示配置代码库链接后,TCA客户端拉取代码后进行分析;"),e("code",null,"客户端分析"),a("在配置本地待扫描代码路径后,无需代码拉取直接分析本地代码。")],-1),q=e("code",null,"在线分析",-1),F=e("code",null,"客户端分析",-1),N=t('

    查看分析历史

    分析结束后,数据会上报到服务端。可进入分析历史页面查看分析记录以及分析结果。

    分析历史

    查看分析概览

    ',4),R=e("p",null,[e("img",{src:u,alt:"分支概览"})],-1);function G(w,M){const i=_("RouterLink");return m(),E("div",null,[b,e("p",null,[a("TCA提供部署脚本,支持一键式快速部署Server、Web、Client。"),v,a(" 脚本共提供三种部署方式:Docker部署(推荐)、"),d(i,{to:"/en/quickStarted/dockercomposeDeploy.html"},{default:l(()=>[a("Docker-Compose部署")]),_:1}),a("、"),d(i,{to:"/en/quickStarted/codeDeploy.html"},{default:l(()=>[a("源码部署")]),_:1}),a(",可根据您的具体使用场景任意选择其一进行部署。")]),f,e("ul",null,[g,e("li",null,[e("p",null,[a("更多分析方案配置可查阅"),d(i,{to:"/en/guide/%E5%88%86%E6%9E%90%E6%96%B9%E6%A1%88/%E5%9F%BA%E7%A1%80%E5%B1%9E%E6%80%A7%E9%85%8D%E7%BD%AE.html"},{default:l(()=>[a("帮助文档-分析方案")]),_:1})])])]),x,e("div",C,[k,e("p",null,[a("本次部署会默认启动运行环境为「Codedog_Linux」的客户端,若需扩展更多运行环境,详见客户端"),d(i,{to:"/en/guide/%E5%AE%A2%E6%88%B7%E7%AB%AF/%E5%B8%B8%E9%A9%BB%E8%8A%82%E7%82%B9%E5%88%86%E6%9E%90.html"},{default:l(()=>[a("常驻节点分析")]),_:1})])]),B,T,D,I,e("div",y,[S,e("ul",null,[P,L,e("li",null,[q,a("与"),F,a("具体详情及配置参考"),d(i,{to:"/en/guide/%E5%AE%A2%E6%88%B7%E7%AB%AF/%E9%85%8D%E7%BD%AE%E8%AF%A6%E6%83%85.html"},{default:l(()=>[a("TCA客户端配置详情")]),_:1})])])]),N,e("p",null,[a("分析结束后,进入分支概览可以查看该分支指定分析方案的概览数据以及 "),d(i,{to:"/en/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E5%88%86%E6%9E%90%E7%BB%93%E6%9E%9C%E6%9F%A5%E7%9C%8B.html"},{default:l(()=>[a("问题列表")]),_:1}),a(" 等。")]),R])}const Q=p(A,[["render",G],["__file","deploySever.html.vue"]]);export{Q as default}; diff --git a/assets/deploySever.html-2b7d9acd.js b/assets/deploySever.html-2b7d9acd.js new file mode 100644 index 000000000..71c969b94 --- /dev/null +++ b/assets/deploySever.html-2b7d9acd.js @@ -0,0 +1,4 @@ +import{_ as o,a as s,b as c}from"./planPage-27225805.js";import{_ as r}from"./start_scan_02-3fe00a0e.js";import{_ as n,a as h,b as u}from"./start_scan_04-65ab4d48.js";import{_ as p,r as _,o as m,c as E,a as e,b as a,d as l,w as d,e as t}from"./app-2a91d8ab.js";const b={},A=e("h1",{id:"部署-tca",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#部署-tca","aria-hidden":"true"},"#"),a(" 部署 TCA")],-1),v=e("br",null,null,-1),f=t(`

    Docker快速部署

    注意

    仅适用于Docker部署体验,生产环境建议使用专业的 MySQL、Redis 等服务

    依赖环境

    • 系统环境
      • Linux、macOS、Windows
      • 最低配置:2核4G内存、100G硬盘存储空间
    • 环境准备
      • Docker
    • 权限准备
      • 需要开放80、8000端口的访问权限(80为TCA平台访问端口,8000为TCA Server访问端口)

    部署对象

    Server、Web 与 Client

    操作说明

    首次启动操作

    1. 进入CodeAnalysis工作目录(例如~/CodeAnalysis),以下路径均为目录内的相对路径
    2. 执行命令:
      bash ./quick_install.sh docker deploy
      +

    提示

    1. 通过Docker部署默认会从DockerHub上拉取 tencenttca/tca:latest 镜像
    2. 通过Docker部署默认会在当前根目录下的挂载三个路径:
      • .docker_temp/logs:容器内的/var/log/tca/,存放TCA平台的日输出文件;
      • .docker_temp/data:容器内的/var/opt/tca/, 存放TCA平台的服务数据,主要是Mariadb、Redis;
      • .docker_temp/configs:容器内的/etc/tca,存放TCA平台的配置文件,主要是config.sh

    更新操作

    1. 更新代码
    2. 执行以下命令:
      • TCA_IMAGE_BUILD=true ./quick_install.sh docker deploy:重新构建并启动tca容器

    提示

    TCA_IMAGE_BUILD=true表示从本地构建TCA镜像运行

    运行容器

    如果已经在机器上执行过docker deploy,并保留容器数据的,可以执行以下命令启动容器,继续运行TCA

    bash ./quick_install.sh docker start
    +

    停止容器

    如果容器正在运行,希望停止容器,可以运行

    bash ./quick_install.sh docker stop
    +

    使用TCA

    成功部署TCA后,请开始您的代码分析。

    进入平台页面

    在浏览器输入http://部署机器IP/,点击立即体验,完成登录后即可跳转到团队列表页

    提示

    默认平台登录账号/密码:CodeDog/admin

    如部署过程中,已调整默认账号密码,请按照调整后的账号密码进行登录

    创建团队及项目

    • 完成团队创建

    • 完成项目创建

    登记代码库

    登记代码库,输入代码库地址以及凭证信息等,完成代码库登记。

    registerCodeRepo

    创建分析项目

    开始分析

    提示

    1. 用户可选择使用分析方案模板,或创建分析方案的方式,利用方案的分析配置进行代码分析。
    2. 点击确认时,平台会首先创建该代码库的分析方案,然后根据代码库分支、当前分析方案创建分析项目。

    分析方案说明

    ',33),g=e("li",null,[e("p",null,"分析方案是用于对代码库进行分析的一套配置集合。")],-1),k=e("p",null,[e("img",{src:s,alt:"creataAnalysePlan"})],-1),x={class:"custom-container tip"},C=e("p",{class:"custom-container-title"},"提示",-1),B=e("p",null,[e("img",{src:c,alt:"planPage"})],-1),D=e("h2",{id:"执行代码分析",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#执行代码分析","aria-hidden":"true"},"#"),a(" 执行代码分析")],-1),T=e("p",null,[a("初始化创建项目后,可通过 "),e("code",null,"在线分析"),a(" 或 "),e("code",null,"客户端分析"),a(" 来启动代码分析。")],-1),y=e("p",null,[e("img",{src:n,alt:"代码分析"})],-1),S={class:"custom-container tip"},L=e("p",{class:"custom-container-title"},"提示",-1),q=e("li",null,[a("TCA推荐使用"),e("code",null,"在线分析"),a(",您可根据具体使用场景选择其一。")],-1),z=e("li",null,[e("code",null,"在线分析"),a("表示配置代码库链接后,TCA客户端拉取代码后进行分析;"),e("code",null,"客户端分析"),a("在配置本地待扫描代码路径后,无需代码拉取直接分析本地代码。")],-1),F=e("code",null,"在线分析",-1),I=e("code",null,"客户端分析",-1),R=t('

    查看分析历史

    分析结束后,数据会上报到服务端。可进入分析历史页面查看分析记录以及分析结果。

    分析历史

    查看分析概览

    ',4),w=e("p",null,[e("img",{src:u,alt:"分支概览"})],-1);function G(M,N){const i=_("RouterLink");return m(),E("div",null,[A,e("p",null,[a("TCA提供部署脚本,支持一键式快速部署Server、Web、Client。"),v,a(" 脚本共提供三种部署方式:Docker部署(推荐)、"),l(i,{to:"/zh/quickStarted/dockercomposeDeploy.html"},{default:d(()=>[a("Docker-Compose部署")]),_:1}),a("、"),l(i,{to:"/zh/quickStarted/codeDeploy.html"},{default:d(()=>[a("源码部署")]),_:1}),a(",可根据您的具体使用场景任意选择其一进行部署。")]),f,e("ul",null,[g,e("li",null,[e("p",null,[a("更多分析方案配置可查阅"),l(i,{to:"/zh/guide/%E5%88%86%E6%9E%90%E6%96%B9%E6%A1%88/%E5%9F%BA%E7%A1%80%E5%B1%9E%E6%80%A7%E9%85%8D%E7%BD%AE.html"},{default:d(()=>[a("帮助文档-分析方案")]),_:1})])])]),k,e("div",x,[C,e("p",null,[a("本次部署会默认启动运行环境为「Codedog_Linux」的客户端,若需扩展更多运行环境,详见客户端"),l(i,{to:"/zh/guide/%E5%AE%A2%E6%88%B7%E7%AB%AF/%E5%B8%B8%E9%A9%BB%E8%8A%82%E7%82%B9%E5%88%86%E6%9E%90.html"},{default:d(()=>[a("常驻节点分析")]),_:1})])]),B,D,T,y,e("div",S,[L,e("ul",null,[q,z,e("li",null,[F,a("与"),I,a("具体详情及配置参考"),l(i,{to:"/zh/guide/%E5%AE%A2%E6%88%B7%E7%AB%AF/%E9%85%8D%E7%BD%AE%E8%AF%A6%E6%83%85.html"},{default:d(()=>[a("TCA客户端配置详情")]),_:1})])])]),R,e("p",null,[a("分析结束后,进入分支概览可以查看该分支指定分析方案的概览数据以及 "),l(i,{to:"/zh/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E5%88%86%E6%9E%90%E7%BB%93%E6%9E%9C%E6%9F%A5%E7%9C%8B.html"},{default:d(()=>[a("问题列表")]),_:1}),a(" 等。")]),w])}const H=p(b,[["render",G],["__file","deploySever.html.vue"]]);export{H as default}; diff --git a/assets/deploySever.html-acb534b2.js b/assets/deploySever.html-acb534b2.js new file mode 100644 index 000000000..bd2005c88 --- /dev/null +++ b/assets/deploySever.html-acb534b2.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-0ceb929d","path":"/en/quickStarted/deploySever.html","title":"部署 TCA","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"Docker快速部署","slug":"docker快速部署","link":"#docker快速部署","children":[{"level":3,"title":"依赖环境","slug":"依赖环境","link":"#依赖环境","children":[]},{"level":3,"title":"部署对象","slug":"部署对象","link":"#部署对象","children":[]},{"level":3,"title":"操作说明","slug":"操作说明","link":"#操作说明","children":[]}]},{"level":2,"title":"进入平台页面","slug":"进入平台页面","link":"#进入平台页面","children":[]},{"level":2,"title":"创建团队及项目","slug":"创建团队及项目","link":"#创建团队及项目","children":[]},{"level":2,"title":"登记代码库","slug":"登记代码库","link":"#登记代码库","children":[]},{"level":2,"title":"创建分析项目","slug":"创建分析项目","link":"#创建分析项目","children":[{"level":3,"title":"分析方案说明","slug":"分析方案说明","link":"#分析方案说明","children":[]}]},{"level":2,"title":"执行代码分析","slug":"执行代码分析","link":"#执行代码分析","children":[]},{"level":2,"title":"查看分析历史","slug":"查看分析历史","link":"#查看分析历史","children":[]},{"level":2,"title":"查看分析概览","slug":"查看分析概览","link":"#查看分析概览","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/quickStarted/deploySever.md"}');export{l as data}; diff --git a/assets/deploySever.html-cd918886.js b/assets/deploySever.html-cd918886.js new file mode 100644 index 000000000..d0456b051 --- /dev/null +++ b/assets/deploySever.html-cd918886.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-8927c33c","path":"/zh/quickStarted/deploySever.html","title":"部署 TCA","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"Docker快速部署","slug":"docker快速部署","link":"#docker快速部署","children":[{"level":3,"title":"依赖环境","slug":"依赖环境","link":"#依赖环境","children":[]},{"level":3,"title":"部署对象","slug":"部署对象","link":"#部署对象","children":[]},{"level":3,"title":"操作说明","slug":"操作说明","link":"#操作说明","children":[]}]},{"level":2,"title":"进入平台页面","slug":"进入平台页面","link":"#进入平台页面","children":[]},{"level":2,"title":"创建团队及项目","slug":"创建团队及项目","link":"#创建团队及项目","children":[]},{"level":2,"title":"登记代码库","slug":"登记代码库","link":"#登记代码库","children":[]},{"level":2,"title":"创建分析项目","slug":"创建分析项目","link":"#创建分析项目","children":[{"level":3,"title":"分析方案说明","slug":"分析方案说明","link":"#分析方案说明","children":[]}]},{"level":2,"title":"执行代码分析","slug":"执行代码分析","link":"#执行代码分析","children":[]},{"level":2,"title":"查看分析历史","slug":"查看分析历史","link":"#查看分析历史","children":[]},{"level":2,"title":"查看分析概览","slug":"查看分析概览","link":"#查看分析概览","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/quickStarted/deploySever.md"}');export{l as data}; diff --git a/assets/deploySource.html-52110188.js b/assets/deploySource.html-52110188.js new file mode 100644 index 000000000..36963b264 --- /dev/null +++ b/assets/deploySource.html-52110188.js @@ -0,0 +1,3 @@ +import{_ as e,o as a,c as i,e as s}from"./app-2a91d8ab.js";const d={},o=s(`

    VM 部署文档

    前置条件

    1. Linux 环境

    2. 系统已安装 nginx

    3. TCA Server 服务已部署完毕,具备后端服务地址

    部署步骤

    1. 进入前端部署源码目录

      进入web服务目录,并切换至tca-deploy-source目录,将其视为工作目录(假设工作目录为 /data/CodeAnalysis/web/tca-deploy-source

    2. 部署/更新前端服务

      # 部署、更新都使用此命令
      +sh ./scripts/deploy.sh init -d
      +

      具体请查阅部署脚本内容,可根据业务调整配置。

    3. 额外说明

      tca-deploy-source/scripts/config.sh 已配置默认环境变量,用户可根据需要调整环境变量再部署前端服务,具体可查阅脚本内容。

    `,5),r=[o];function c(n,l){return a(),i("div",null,r)}const p=e(d,[["render",c],["__file","deploySource.html.vue"]]);export{p as default}; diff --git a/assets/deploySource.html-956fd91c.js b/assets/deploySource.html-956fd91c.js new file mode 100644 index 000000000..4668a3d17 --- /dev/null +++ b/assets/deploySource.html-956fd91c.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-b654617e","path":"/zh/guide/web/deploySource.html","title":"VM 部署文档","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"前置条件","slug":"前置条件","link":"#前置条件","children":[]},{"level":2,"title":"部署步骤","slug":"部署步骤","link":"#部署步骤","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/guide/web/deploySource.md"}');export{e as data}; diff --git a/assets/deploySource.html-c424f754.js b/assets/deploySource.html-c424f754.js new file mode 100644 index 000000000..36963b264 --- /dev/null +++ b/assets/deploySource.html-c424f754.js @@ -0,0 +1,3 @@ +import{_ as e,o as a,c as i,e as s}from"./app-2a91d8ab.js";const d={},o=s(`

    VM 部署文档

    前置条件

    1. Linux 环境

    2. 系统已安装 nginx

    3. TCA Server 服务已部署完毕,具备后端服务地址

    部署步骤

    1. 进入前端部署源码目录

      进入web服务目录,并切换至tca-deploy-source目录,将其视为工作目录(假设工作目录为 /data/CodeAnalysis/web/tca-deploy-source

    2. 部署/更新前端服务

      # 部署、更新都使用此命令
      +sh ./scripts/deploy.sh init -d
      +

      具体请查阅部署脚本内容,可根据业务调整配置。

    3. 额外说明

      tca-deploy-source/scripts/config.sh 已配置默认环境变量,用户可根据需要调整环境变量再部署前端服务,具体可查阅脚本内容。

    `,5),r=[o];function c(n,l){return a(),i("div",null,r)}const p=e(d,[["render",c],["__file","deploySource.html.vue"]]);export{p as default}; diff --git a/assets/deploySource.html-ef8635a2.js b/assets/deploySource.html-ef8635a2.js new file mode 100644 index 000000000..9e8f40365 --- /dev/null +++ b/assets/deploySource.html-ef8635a2.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-e2e9d388","path":"/en/guide/web/deploySource.html","title":"VM 部署文档","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"前置条件","slug":"前置条件","link":"#前置条件","children":[]},{"level":2,"title":"部署步骤","slug":"部署步骤","link":"#部署步骤","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/guide/web/deploySource.md"}');export{e as data}; diff --git a/assets/deploy_with_minio.html-49f7112e.js b/assets/deploy_with_minio.html-49f7112e.js new file mode 100644 index 000000000..43807725f --- /dev/null +++ b/assets/deploy_with_minio.html-49f7112e.js @@ -0,0 +1,21 @@ +import{_ as e,o as n,c as i,e as a}from"./app-2a91d8ab.js";const d={},s=a(`

    基于MinIO部署文件服务器

    TCA的file服务支持对接MinIO作为底层存储,将文件转发到已部署的MinIO平台上进行持久化存储

    本地部署

    注意:如果之前已经使用本地进行存储,切换为MinIO后,之前已经上传的文件只能到服务部署的目录server/projects/file/data查看,不支持通过页面进行下载

    前置步骤

    获取MinIO平台登录的账号密码,用于上传文件

    配置步骤

    1. 调整file服务的配置

    修改server/configs/django/local_file.py文件,取消以下代码的注释

    # MINIO
    +STORAGE = {
    +    "CLIENT": os.environ.get("FILE_STORAGE_CLIENT", "MINIO"),  # 存储方式
    +    "OPTIONS": {
    +        "MINIO_ENTRYPOINT": os.environ.get("FILE_MINIO_ENTRYPOINT"),
    +        "MINIO_ACCESS_KEY": os.environ.get("FILE_MINIO_ACCESS_KEY"),
    +        "MINIO_SECRET_KEY": os.environ.get("FILE_MINIO_SECRET_KEY"),
    +    }
    +}
    +

    修改server/scripts/config.sh文件,填写MinIO的信息

    export FILE_MINIO_ENTRYPOINT=<MinIO平台的地址>
    +export FILE_MINIO_ACCESS_KEY=<MinIO平台的登录账号>
    +export FILE_MINIO_SECRET_KEY=<MinIO平台的登录密码>
    +

    修改完配置后,如果服务已经正在运行,则执行以下命令重启服务

    $ cd server
    +$ ./scripts/deploy.sh start
    +

    2. 修改nginx服务的配置文件

    删除nginx已有的文件服务器配置文件/etc/nginx/conf.d/tca_file_local.conf文件,然后执行

    rm /etc/nginx/conf.d/tca_file_local.conf
    +ln -s $CURRENT_PATH/configs/nginx/tca_file_minio.conf /etc/nginx/conf.d/tca_file_local.conf
    +

    也可以修改server/scripts/init_config.sh

    # 注释这一行
    +ln -s $CURRENT_PATH/configs/nginx/tca_file_local.conf /etc/nginx/conf.d/tca_file_local.conf
    +# 取消注释这一行
    +ln -s $CURRENT_PATH/configs/nginx/tca_file_minio.conf /etc/nginx/conf.d/tca_file_local.conf
    +

    修改完配置后,如果nginx已经正在运行,则执行nginx -s reload

    结尾

    以上两个步骤操作完成后,就可以通过MinIO存储文件了~

    `,21),c=[s];function o(l,r){return n(),i("div",null,c)}const u=e(d,[["render",o],["__file","deploy_with_minio.html.vue"]]);export{u as default}; diff --git a/assets/deploy_with_minio.html-5815abcc.js b/assets/deploy_with_minio.html-5815abcc.js new file mode 100644 index 000000000..ebdf04680 --- /dev/null +++ b/assets/deploy_with_minio.html-5815abcc.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-374a553a","path":"/en/guide/%E6%9C%8D%E5%8A%A1%E7%AB%AF/deploy_with_minio.html","title":"基于MinIO部署文件服务器","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"本地部署","slug":"本地部署","link":"#本地部署","children":[{"level":3,"title":"前置步骤","slug":"前置步骤","link":"#前置步骤","children":[]},{"level":3,"title":"配置步骤","slug":"配置步骤","link":"#配置步骤","children":[]},{"level":3,"title":"结尾","slug":"结尾","link":"#结尾","children":[]}]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/guide/服务端/deploy_with_minio.md"}');export{e as data}; diff --git a/assets/deploy_with_minio.html-8ed46649.js b/assets/deploy_with_minio.html-8ed46649.js new file mode 100644 index 000000000..43807725f --- /dev/null +++ b/assets/deploy_with_minio.html-8ed46649.js @@ -0,0 +1,21 @@ +import{_ as e,o as n,c as i,e as a}from"./app-2a91d8ab.js";const d={},s=a(`

    基于MinIO部署文件服务器

    TCA的file服务支持对接MinIO作为底层存储,将文件转发到已部署的MinIO平台上进行持久化存储

    本地部署

    注意:如果之前已经使用本地进行存储,切换为MinIO后,之前已经上传的文件只能到服务部署的目录server/projects/file/data查看,不支持通过页面进行下载

    前置步骤

    获取MinIO平台登录的账号密码,用于上传文件

    配置步骤

    1. 调整file服务的配置

    修改server/configs/django/local_file.py文件,取消以下代码的注释

    # MINIO
    +STORAGE = {
    +    "CLIENT": os.environ.get("FILE_STORAGE_CLIENT", "MINIO"),  # 存储方式
    +    "OPTIONS": {
    +        "MINIO_ENTRYPOINT": os.environ.get("FILE_MINIO_ENTRYPOINT"),
    +        "MINIO_ACCESS_KEY": os.environ.get("FILE_MINIO_ACCESS_KEY"),
    +        "MINIO_SECRET_KEY": os.environ.get("FILE_MINIO_SECRET_KEY"),
    +    }
    +}
    +

    修改server/scripts/config.sh文件,填写MinIO的信息

    export FILE_MINIO_ENTRYPOINT=<MinIO平台的地址>
    +export FILE_MINIO_ACCESS_KEY=<MinIO平台的登录账号>
    +export FILE_MINIO_SECRET_KEY=<MinIO平台的登录密码>
    +

    修改完配置后,如果服务已经正在运行,则执行以下命令重启服务

    $ cd server
    +$ ./scripts/deploy.sh start
    +

    2. 修改nginx服务的配置文件

    删除nginx已有的文件服务器配置文件/etc/nginx/conf.d/tca_file_local.conf文件,然后执行

    rm /etc/nginx/conf.d/tca_file_local.conf
    +ln -s $CURRENT_PATH/configs/nginx/tca_file_minio.conf /etc/nginx/conf.d/tca_file_local.conf
    +

    也可以修改server/scripts/init_config.sh

    # 注释这一行
    +ln -s $CURRENT_PATH/configs/nginx/tca_file_local.conf /etc/nginx/conf.d/tca_file_local.conf
    +# 取消注释这一行
    +ln -s $CURRENT_PATH/configs/nginx/tca_file_minio.conf /etc/nginx/conf.d/tca_file_local.conf
    +

    修改完配置后,如果nginx已经正在运行,则执行nginx -s reload

    结尾

    以上两个步骤操作完成后,就可以通过MinIO存储文件了~

    `,21),c=[s];function o(l,r){return n(),i("div",null,c)}const u=e(d,[["render",o],["__file","deploy_with_minio.html.vue"]]);export{u as default}; diff --git a/assets/deploy_with_minio.html-cbb3a284.js b/assets/deploy_with_minio.html-cbb3a284.js new file mode 100644 index 000000000..5cecc1478 --- /dev/null +++ b/assets/deploy_with_minio.html-cbb3a284.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-48a59655","path":"/zh/guide/%E6%9C%8D%E5%8A%A1%E7%AB%AF/deploy_with_minio.html","title":"基于MinIO部署文件服务器","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"本地部署","slug":"本地部署","link":"#本地部署","children":[{"level":3,"title":"前置步骤","slug":"前置步骤","link":"#前置步骤","children":[]},{"level":3,"title":"配置步骤","slug":"配置步骤","link":"#配置步骤","children":[]},{"level":3,"title":"结尾","slug":"结尾","link":"#结尾","children":[]}]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/guide/服务端/deploy_with_minio.md"}');export{e as data}; diff --git a/assets/deploy_without_migrate.html-1e77db2a.js b/assets/deploy_without_migrate.html-1e77db2a.js new file mode 100644 index 000000000..539c6ff3e --- /dev/null +++ b/assets/deploy_without_migrate.html-1e77db2a.js @@ -0,0 +1 @@ +import{_ as s,r as t,o as i,c as d,a as e,b as o,d as c,w as n,e as _}from"./app-2a91d8ab.js";const a={},r=e("p",null,"在实际的生产环境的部署过程中,团队的MySQL的管理员可能不会给到应用账号create等比较敏感的权限,这种情况下,我们可以通过手动迁移数据的方式起到和等同Django migrate的效果。",-1),u=e("p",null,"操作步骤:",-1),h=e("li",null,[o("进入Server服务工作目录后(假设工作目录为 "),e("code",null,"/data/CodeAnalysis/server/"),o(",以下路径均为工作目录内的相对路径)")],-1),p=e("code",null,"vi ./scripts/config.sh",-1),S=e("li",null,[o("执行"),e("code",null,"bash ./scripts/deploy.sh init"),o(":初始化DB、安装依赖和运行初始化脚本")],-1),m=e("li",null,[o("使用MySQLDump工具导出表结构与数据:"),e("code",null,"mysqldump -u user -p –databases codedog_main codedog_analysis codedog_file codedog_login > codedog_all.sql")],-1),y=_("
  • 在生产环境建数据库,详情见:server/sql/init.sql
  • 连接MySQL,导入数据:
    • 临时关闭外键检查: SET SESSION FOREIGN_KEY_CHECKS=0,否则会因为数据中有外键关联导致导入失败
    • 导入表结构与数据: source /youdir/codedog_all.sql;
    • 开启外键检查: SET SESSION FOREIGN_KEY_CHECKS=1
  • 启动服务: 直接执行 bash ./scripts/deploy.sh start,无需执行 init方法,否则会导致数据重复写入
  • ",3);function g(E,f){const l=t("RouterLink");return i(),d("div",null,[r,u,e("ol",null,[h,e("li",null,[o("在开发环境一个有全部权限的MySQL地址,初始化数据(MySQL版本运行版本:5.7) "),e("ul",null,[e("li",null,[o("执行"),p,o(":填写一个有全部权限的MySQL数据库地址和Redis信息以及根据需要调整配置信息,主要的工程配置已提供默认值,字段说明可以查看"),c(l,{to:"/en/guide/server/"},{default:n(()=>[o("文档")]),_:1})]),S,m])]),y])])}const L=s(a,[["render",g],["__file","deploy_without_migrate.html.vue"]]);export{L as default}; diff --git a/assets/deploy_without_migrate.html-5b1052ed.js b/assets/deploy_without_migrate.html-5b1052ed.js new file mode 100644 index 000000000..a81688d2d --- /dev/null +++ b/assets/deploy_without_migrate.html-5b1052ed.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-5c7ce0e5","path":"/en/guide/%E6%9C%8D%E5%8A%A1%E7%AB%AF/deploy_without_migrate.html","title":"","lang":"en-US","frontmatter":{},"headers":[],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/guide/服务端/deploy_without_migrate.md"}');export{e as data}; diff --git a/assets/deploy_without_migrate.html-90300af0.js b/assets/deploy_without_migrate.html-90300af0.js new file mode 100644 index 000000000..74cdaf14f --- /dev/null +++ b/assets/deploy_without_migrate.html-90300af0.js @@ -0,0 +1 @@ +const t=JSON.parse('{"key":"v-051518aa","path":"/zh/guide/%E6%9C%8D%E5%8A%A1%E7%AB%AF/deploy_without_migrate.html","title":"","lang":"zh-CN","frontmatter":{},"headers":[],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/guide/服务端/deploy_without_migrate.md"}');export{t as data}; diff --git a/assets/deploy_without_migrate.html-9c6f524c.js b/assets/deploy_without_migrate.html-9c6f524c.js new file mode 100644 index 000000000..e42d65251 --- /dev/null +++ b/assets/deploy_without_migrate.html-9c6f524c.js @@ -0,0 +1 @@ +import{_ as s,r as t,o as i,c as d,a as e,b as o,d as c,w as n,e as _}from"./app-2a91d8ab.js";const a={},r=e("p",null,"在实际的生产环境的部署过程中,团队的MySQL的管理员可能不会给到应用账号create等比较敏感的权限,这种情况下,我们可以通过手动迁移数据的方式起到和等同Django migrate的效果。",-1),u=e("p",null,"操作步骤:",-1),h=e("li",null,[o("进入Server服务工作目录后(假设工作目录为 "),e("code",null,"/data/CodeAnalysis/server/"),o(",以下路径均为工作目录内的相对路径)")],-1),p=e("code",null,"vi ./scripts/config.sh",-1),S=e("li",null,[o("执行"),e("code",null,"bash ./scripts/deploy.sh init"),o(":初始化DB、安装依赖和运行初始化脚本")],-1),m=e("li",null,[o("使用MySQLDump工具导出表结构与数据:"),e("code",null,"mysqldump -u user -p –databases codedog_main codedog_analysis codedog_file codedog_login > codedog_all.sql")],-1),y=_("
  • 在生产环境建数据库,详情见:server/sql/init.sql
  • 连接MySQL,导入数据:
    • 临时关闭外键检查: SET SESSION FOREIGN_KEY_CHECKS=0,否则会因为数据中有外键关联导致导入失败
    • 导入表结构与数据: source /youdir/codedog_all.sql;
    • 开启外键检查: SET SESSION FOREIGN_KEY_CHECKS=1
  • 启动服务: 直接执行 bash ./scripts/deploy.sh start,无需执行 init方法,否则会导致数据重复写入
  • ",3);function g(E,f){const l=t("RouterLink");return i(),d("div",null,[r,u,e("ol",null,[h,e("li",null,[o("在开发环境一个有全部权限的MySQL地址,初始化数据(MySQL版本运行版本:5.7) "),e("ul",null,[e("li",null,[o("执行"),p,o(":填写一个有全部权限的MySQL数据库地址和Redis信息以及根据需要调整配置信息,主要的工程配置已提供默认值,字段说明可以查看"),c(l,{to:"/zh/guide/server/"},{default:n(()=>[o("文档")]),_:1})]),S,m])]),y])])}const L=s(a,[["render",g],["__file","deploy_without_migrate.html.vue"]]);export{L as default}; diff --git a/assets/dockerDeploy.html-4ecfde5f.js b/assets/dockerDeploy.html-4ecfde5f.js new file mode 100644 index 000000000..c3a7f6f18 --- /dev/null +++ b/assets/dockerDeploy.html-4ecfde5f.js @@ -0,0 +1,5 @@ +import{_ as t,r as o,o as n,c as d,a as e,b as a,d as r,w as c,e as s}from"./app-2a91d8ab.js";const l={},u=s(`

    Docker rapid deployment(Recommended for a out of the box try)

    WARNING

    Docker deployment include Mariadb and Redis. Configuration file can be modified to indicate a MySQL/Mariadb and Redis, which satisfied operation and maintenance specification for extensive use.

    Requirements

    • System
      • Linux, macOS or Windows
      • Minimum requirement:2-core processor, 4GB RAM, 100 GB available disk space
    • Environment
      • Docker
    • Privilege
      • Open port 80, 8000's access(80 for TCA's requests, 8000 for TCA Server)

    To be deployed

    Server, Web and Client

    Operating instructions

    First start
    1. Enter the CodeAnalysis's work directory (e.g ~/CodeAnalysis), the following paths are relative paths within the directory.
    2. Execute command:
      bash ./quick_install.sh docker deploy
      +

    TIP

    1. During docker deployment, the tencenttca/tca:latest image will be pulled from dockerhub by default.
    2. During docker deployment, three paths will be mounted under the current root directory by default:
      • .docker_temp/logs/var/log/tca/ in container,TCA daily log output;
      • .docker_temp/data/var/opt/tca/ in container, TCA service data, mainly about Mariadb,Redis;
      • .docker_temp/configs/etc/tca in container,TCA configuration file,mainly config.sh
    Update
    1. Update the code.
    2. Execute command below:
    TCA_IMAGE_BUILD=true ./quick_install.sh docker deploy  # Re-build and start TCA Container
    +

    TIP

    TCA_IMAGE_BUILD=true Indicates that the TCA image is built locally to run

    Run a Docker container

    If docker deploy has been executed on the machine and the container data is retained, you can execute the following command to start the container and continue to run TCA

    bash ./quick_install.sh docker start
    +
    Stop a Docker container

    If a container is running and you want to stop it, you can run command

    bash ./quick_install.sh docker stop
    +

    Use your TCA

    `,21),h=e("code",null,"http://",-1),p=e("br",null,null,-1),m=e("div",{class:"custom-container tip"},[e("p",{class:"custom-container-title"},"TIP"),e("p",null,"Default account/Password:CodeDog/admin"),e("p",null,"If the default account password has been modified during deployment, please login according to the modified account and password.")],-1);function b(f,y){const i=o("RouterLink");return n(),d("div",null,[u,e("p",null,[a("Now, you have done the deployment of your first TCA. Please type "),h,a(' in your browser. click "立即体验", after login you can start your Tencent Code Analysis trip.'),p,a(" More operation instructions please check:"),r(i,{to:"/en/guide/%E5%BF%AB%E9%80%9F%E5%85%A5%E9%97%A8/%E5%BF%AB%E9%80%9F%E5%90%AF%E5%8A%A8%E4%B8%80%E6%AC%A1%E4%BB%A3%E7%A0%81%E5%88%86%E6%9E%90.html"},{default:c(()=>[a("Quick start a code analysis")]),_:1})]),m])}const g=t(l,[["render",b],["__file","dockerDeploy.html.vue"]]);export{g as default}; diff --git a/assets/dockerDeploy.html-91ffd251.js b/assets/dockerDeploy.html-91ffd251.js new file mode 100644 index 000000000..dd3a11f28 --- /dev/null +++ b/assets/dockerDeploy.html-91ffd251.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-2d129638","path":"/en/quickStarted/dockerDeploy.html","title":"Docker rapid deployment(Recommended for a out of the box try)","lang":"en-US","frontmatter":{},"headers":[],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/quickStarted/dockerDeploy.md"}');export{e as data}; diff --git a/assets/dockerDeploy.html-c1c22390.js b/assets/dockerDeploy.html-c1c22390.js new file mode 100644 index 000000000..a73eaaea3 --- /dev/null +++ b/assets/dockerDeploy.html-c1c22390.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-0b07a1bf","path":"/zh/quickStarted/dockerDeploy.html","title":"Docker快速部署(平台体验首推)","lang":"zh-CN","frontmatter":{},"headers":[],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/quickStarted/dockerDeploy.md"}');export{e as data}; diff --git a/assets/dockerDeploy.html-cd423864.js b/assets/dockerDeploy.html-cd423864.js new file mode 100644 index 000000000..4ee695714 --- /dev/null +++ b/assets/dockerDeploy.html-cd423864.js @@ -0,0 +1,5 @@ +import{_ as d,r as c,o as l,c as s,a as e,b as a,d as o,w as r,e as n}from"./app-2a91d8ab.js";const t={},h=n(`

    Docker快速部署(平台体验首推)

    注意

    Docker部署会包含Mariadb和Redis,如果需要更大规模使用,可以调整配置文件使用运维规范的 MySQL/Mariadb 和 Redis。

    依赖环境

    • 系统环境
      • Linux、macOS、Windows
      • 最低配置:2核4G内存、100G硬盘存储空间
    • 环境准备
      • Docker
    • 权限准备
      • 需要开放80、8000端口的访问权限(80为TCA平台访问端口,8000为TCA Server访问端口)

    部署对象

    Server、Web 与 Client

    操作说明

    首次启动操作
    1. 进入CodeAnalysis工作目录(例如~/CodeAnalysis),以下路径均为目录内的相对路径
    2. 执行命令:
      bash ./quick_install.sh docker deploy
      +

    提示

    1. 通过Docker部署默认会从DockerHub上拉取tencenttca/tca:latest镜像
    2. 通过Docker部署默认会在当前根目录下的挂载三个路径:
      • .docker_temp/logs:容器内的/var/log/tca/,存放TCA平台的日输出文件;
      • .docker_temp/data:容器内的/var/opt/tca/, 存放TCA平台的服务数据,主要是Mariadb、Redis;
      • .docker_temp/configs:容器内的/etc/tca,存放TCA平台的配置文件,主要是config.sh
    更新操作
    1. 更新代码
    2. 执行以下命令:
    TCA_IMAGE_BUILD=true ./quick_install.sh docker deploy  #重新构建并启动tca容器
    +

    提示

    TCA_IMAGE_BUILD=true表示从本地构建TCA镜像运行

    运行容器

    如果已经在机器上执行过docker deploy,并保留容器数据的,可以执行以下命令启动容器,继续运行TCA

    bash ./quick_install.sh docker start
    +
    停止容器

    如果容器正在运行,希望停止容器,可以运行

    bash ./quick_install.sh docker stop
    +

    使用TCA

    `,21),u=e("code",null,"http://部署机器IP/",-1),p=e("br",null,null,-1),b=e("div",{class:"custom-container tip"},[e("p",{class:"custom-container-title"},"提示"),e("p",null,"默认平台登录账号/密码:CodeDog/admin"),e("p",null,"如部署过程中,已调整默认账号密码,请按照调整后的账号密码进行登录")],-1);function m(v,_){const i=c("RouterLink");return l(),s("div",null,[h,e("p",null,[a("至此,您已完成第一个TCA平台部署,请在浏览器输入"),u,a(",点击立即体验,完成登录后即可开启您的腾讯云代码分析。"),p,a(" 平台内操作指引请查看:"),o(i,{to:"/zh/guide/%E5%BF%AB%E9%80%9F%E5%85%A5%E9%97%A8/%E5%BF%AB%E9%80%9F%E5%90%AF%E5%8A%A8%E4%B8%80%E6%AC%A1%E4%BB%A3%E7%A0%81%E5%88%86%E6%9E%90.html"},{default:r(()=>[a("快速启动一次代码分析")]),_:1})]),b])}const A=d(t,[["render",m],["__file","dockerDeploy.html.vue"]]);export{A as default}; diff --git a/assets/dockercomposeDeploy.html-295cc18e.js b/assets/dockercomposeDeploy.html-295cc18e.js new file mode 100644 index 000000000..be456086f --- /dev/null +++ b/assets/dockercomposeDeploy.html-295cc18e.js @@ -0,0 +1,8 @@ +import{_ as l,r as c,o as n,c as r,a,b as e,d,w as i,e as o}from"./app-2a91d8ab.js";const t={},h=a("h1",{id:"docker-compose快速部署",tabindex:"-1"},[a("a",{class:"header-anchor",href:"#docker-compose快速部署","aria-hidden":"true"},"#"),e(" Docker-Compose快速部署")],-1),u=a("br",null,null,-1),p=o(`

    部署对象

    Server、Web 与 Client

    注意

    仅适用于 Docker-Compose 部署体验,生产环境建议使用专业的 MySQL、Redis 等服务

    操作说明

    首次启动操作
    1. 进入 CodeAnalysis 工作目录(例如~/CodeAnalysis),以下路径均为目录内的相对路径

    2. 执行命令:

    bash ./quick_install.sh docker-compose deploy #启动tca_server容器
    +

    注意:通过 Docker-Compose 部署默认会在当前根目录下的挂载三个路径:

    • .docker_data/logs:存放 TCA 平台的各个服务日志输出目录;
    • .docker_data/mysql:存放 TCA 平台的 MySQL 数据
    • .docker_data/redis:存放 TCA 平台的 Redis 数据
    • .docker_data/filedata:存放 TCA 平台文件服务器的文件
    `,9),m={class:"custom-container tip"},b=a("p",{class:"custom-container-title"},"提示",-1),_=a("code",null,"http://部署机器IP/",-1),v=a("br",null,null,-1),k=a("p",null,"默认平台登录账号/密码:CodeDog/admin",-1),g=a("p",null,"如部署过程中,已调整默认账号密码,请按照调整后的账号密码进行登录",-1),A=o(`
    更新操作
    1. 更新代码

    2. 执行以下命令:

    bash ./quick_install.sh docker-compose build  #重新构建TCA相关镜像
    +bash ./quick_install.sh docker-compose stop  #停止运行中的TCA容器
    +bash ./quick_install.sh docker-compose deploy  #重新部署TCA相关容器与初始化(或刷新数据)
    +
    运行操作

    如果已经在机器上执行过docker-compose deploy,并保留容器数据的,可以执行以下命令启动容器,继续运行 TCA

    bash ./quick_install.sh docker-compose start
    +
    停止操作

    如果容器正在运行,希望停止容器,可以执行以下命令

    bash ./quick_install.sh docker-compose stop
    +
    构建镜像操作

    如果希望构建镜像,可以执行以下命令

    bash ./quick_install.sh docker-compose build
    +
    `,12);function C(f,x){const s=c("RouterLink");return n(),r("div",null,[h,a("p",null,[e("TCA提供部署脚本,支持一键式快速部署 Server、Web、Client。"),u,e(" 脚本共提供三种部署方式:"),d(s,{to:"/zh/quickStarted/dockerDeploy.html"},{default:i(()=>[e("Docker部署(平台体验首推)")]),_:1}),e("、Docker-Compose部署、"),d(s,{to:"/zh/quickStarted/codeDeploy.html"},{default:i(()=>[e("源码部署")]),_:1}),e(", 可根据您的具体使用场景任意选择其一进行部署。")]),p,a("div",m,[b,a("p",null,[e("完成 TCA 平台部署后,请在浏览器输入"),_,e(",点击立即体验,完成登录后即可开启您的腾讯云代码分析。"),v,e(" 平台内操作指引请查看:"),d(s,{to:"/zh/guide/%E5%BF%AB%E9%80%9F%E5%85%A5%E9%97%A8/%E5%BF%AB%E9%80%9F%E5%90%AF%E5%8A%A8%E4%B8%80%E6%AC%A1%E4%BB%A3%E7%A0%81%E5%88%86%E6%9E%90.html"},{default:i(()=>[e("快速启动一次代码分析")]),_:1})]),k,g]),A])}const y=l(t,[["render",C],["__file","dockercomposeDeploy.html.vue"]]);export{y as default}; diff --git a/assets/dockercomposeDeploy.html-427f62d1.js b/assets/dockercomposeDeploy.html-427f62d1.js new file mode 100644 index 000000000..bbf7ff026 --- /dev/null +++ b/assets/dockercomposeDeploy.html-427f62d1.js @@ -0,0 +1,8 @@ +import{_ as l,r as c,o as n,c as r,a,b as e,d,w as i,e as o}from"./app-2a91d8ab.js";const t={},h=a("h1",{id:"docker-compose快速部署",tabindex:"-1"},[a("a",{class:"header-anchor",href:"#docker-compose快速部署","aria-hidden":"true"},"#"),e(" Docker-Compose快速部署")],-1),u=a("br",null,null,-1),p=o(`

    部署对象

    Server、Web 与 Client

    WARNING

    仅适用于 Docker-Compose 部署体验,生产环境建议使用专业的 MySQL、Redis 等服务

    操作说明

    首次启动操作
    1. 进入 CodeAnalysis 工作目录(例如~/CodeAnalysis),以下路径均为目录内的相对路径

    2. 执行命令:

    bash ./quick_install.sh docker-compose deploy #启动tca_server容器
    +

    注意:通过 Docker-Compose 部署默认会在当前根目录下的挂载三个路径:

    • .docker_data/logs:存放 TCA 平台的各个服务日志输出目录;
    • .docker_data/mysql:存放 TCA 平台的 MySQL 数据
    • .docker_data/redis:存放 TCA 平台的 Redis 数据
    • .docker_data/filedata:存放 TCA 平台文件服务器的文件
    `,9),m={class:"custom-container tip"},b=a("p",{class:"custom-container-title"},"TIP",-1),_=a("code",null,"http://部署机器IP/",-1),v=a("br",null,null,-1),k=a("p",null,"默认平台登录账号/密码:CodeDog/admin",-1),g=a("p",null,"如部署过程中,已调整默认账号密码,请按照调整后的账号密码进行登录",-1),A=o(`
    更新操作
    1. 更新代码

    2. 执行以下命令:

    bash ./quick_install.sh docker-compose build  #重新构建TCA相关镜像
    +bash ./quick_install.sh docker-compose stop  #停止运行中的TCA容器
    +bash ./quick_install.sh docker-compose deploy  #重新部署TCA相关容器与初始化(或刷新数据)
    +
    运行操作

    如果已经在机器上执行过docker-compose deploy,并保留容器数据的,可以执行以下命令启动容器,继续运行 TCA

    bash ./quick_install.sh docker-compose start
    +
    停止操作

    如果容器正在运行,希望停止容器,可以执行以下命令

    bash ./quick_install.sh docker-compose stop
    +
    构建镜像操作

    如果希望构建镜像,可以执行以下命令

    bash ./quick_install.sh docker-compose build
    +
    `,12);function C(f,x){const s=c("RouterLink");return n(),r("div",null,[h,a("p",null,[e("TCA提供部署脚本,支持一键式快速部署 Server、Web、Client。"),u,e(" 脚本共提供三种部署方式:"),d(s,{to:"/en/quickStarted/dockerDeploy.html"},{default:i(()=>[e("Docker部署(平台体验首推)")]),_:1}),e("、Docker-Compose部署、"),d(s,{to:"/en/quickStarted/codeDeploy.html"},{default:i(()=>[e("源码部署")]),_:1}),e(", 可根据您的具体使用场景任意选择其一进行部署。")]),p,a("div",m,[b,a("p",null,[e("完成 TCA 平台部署后,请在浏览器输入"),_,e(",点击立即体验,完成登录后即可开启您的腾讯云代码分析。"),v,e(" 平台内操作指引请查看:"),d(s,{to:"/en/guide/%E5%BF%AB%E9%80%9F%E5%85%A5%E9%97%A8/%E5%BF%AB%E9%80%9F%E5%90%AF%E5%8A%A8%E4%B8%80%E6%AC%A1%E4%BB%A3%E7%A0%81%E5%88%86%E6%9E%90.html"},{default:i(()=>[e("快速启动一次代码分析")]),_:1})]),k,g]),A])}const y=l(t,[["render",C],["__file","dockercomposeDeploy.html.vue"]]);export{y as default}; diff --git a/assets/dockercomposeDeploy.html-c2efd135.js b/assets/dockercomposeDeploy.html-c2efd135.js new file mode 100644 index 000000000..43168b1c2 --- /dev/null +++ b/assets/dockercomposeDeploy.html-c2efd135.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-1c65d59a","path":"/zh/quickStarted/dockercomposeDeploy.html","title":"Docker-Compose快速部署","lang":"zh-CN","frontmatter":{},"headers":[],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/quickStarted/dockercomposeDeploy.md"}');export{e as data}; diff --git a/assets/dockercomposeDeploy.html-d6c28f23.js b/assets/dockercomposeDeploy.html-d6c28f23.js new file mode 100644 index 000000000..b2e900f0c --- /dev/null +++ b/assets/dockercomposeDeploy.html-d6c28f23.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-fb43c324","path":"/en/quickStarted/dockercomposeDeploy.html","title":"Docker-Compose快速部署","lang":"en-US","frontmatter":{},"headers":[],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/quickStarted/dockercomposeDeploy.md"}');export{e as data}; diff --git a/assets/enhanceDeploy.html-165efbbb.js b/assets/enhanceDeploy.html-165efbbb.js new file mode 100644 index 000000000..06853dc5a --- /dev/null +++ b/assets/enhanceDeploy.html-165efbbb.js @@ -0,0 +1,32 @@ +import{_ as a,r as c,o as d,c as r,a as e,b as i,d as n,e as s}from"./app-2a91d8ab.js";const t={},o=s('

    增强分析模块部署

    TCA 除开集成业界知名的分析工具之外,也有自主研发的独立工具,作为 TCA 的增强分析模块。

    TCA 增强分析模块,需要用户额外部署 License 鉴权微服务,并邮件申请 License 。

    提示

    1. License申请完全免费! 2. 优先企业或高校申请License。

    概念

    • 独立工具:TCA 自主研发的代码分析工具;
    • CLS(Common License Server): TCA 独立工具的 License 鉴权微服务。

    模块功能

    • 支持Objective-C/C++代码规范检查;
    • 支持分析项目的依赖组件;
    • 支持分析依赖组件是否存在漏洞等问题;
    • 支持Java/Kotlin API和函数调用链分析;
    • 支持代码安全、空指针检查、内存泄漏等规则。

    持续更新中……

    TCA 官网版增强能力申请

    ',10),u={href:"https://tca.tencent.com/",target:"_blank",rel:"noopener noreferrer"},h={href:"https://tca.tencent.com/document/zh/guide/%E5%AE%A2%E6%88%B7%E7%AB%AF%E6%8E%A5%E5%85%A5/License%E9%85%8D%E7%BD%AE.html",target:"_blank",rel:"noopener noreferrer"},v=s('

    TCA 私有化部署增强能力申请

    如果用户是在企业内网环境内使用 TCA,并想在内网体验 TCA 的增强分析模块能力,可以参考下面步骤申请。

    准备

    • 一台 CLS 微服务专属机器,CLS 微服务需要跟该机器绑定

    注意

    注意:不能随意删除CLS目录

    步骤

    ',6),m={href:"https://github.com/Tencent/CodeAnalysis/tree/main/server/cls",target:"_blank",rel:"noopener noreferrer"},p=e("code",null,"server/cls",-1),b=e("code",null,"Server ID",-1),g=e("code",null,"Client License",-1),_=s(`

    注意

    注意:需要在 CLS 目录下执行命令

    # 安装 Git LFS
    +$ bash ./scripts/base/install_git_lfs.sh
    +# 如果在该目录下没有找到 cls 二进制文件,可以执行以下命令进行同步
    +$ bash ./scripts/base/install_bin.sh
    +$ cd server/cls
    +$ ./cls server
    +2022-04-13 18:35:29.356510559 +0800 CST [INFO] Version: 20220328.1
    +2022-04-13 18:35:29.44083463 +0800 CST [INFO] The client license is:
    +xxx
    +2022-04-13 18:35:29.454552966 +0800 CST [INFO] License Server ID: xxx
    +
    • Server ID: 机器码,用于向 TCA 团队申请 License 授权
    • Client License: 提供给 TCA Client,方便 TCA Client 进行工具鉴权(重要,建议备份留底)
    `,3),C={start:"2"},L={href:"https://github.com/Tencent/CodeAnalysis/blob/main/client/config.ini",target:"_blank",rel:"noopener noreferrer"},f=e("code",null,"config.ini",-1),A=s(`
    [LICENSE_CONFIG]
    +; [可选]使用独立工具时,需要填写,默认不需要
    +; License服务的域名和端口
    +URL=http://<IP或者域名>:<port>
    +BASE_PATH=
    +LICENSE=<Client License>
    +

    注意

    注意:URL对应值的最后不需要跟斜杆/.

    注意

    不同的部署方式可以根据下面方法修改config.ini配置

    • 源码部署:
      • 修改源码目录下的client/config.ini
      • 重启客户端:./quick_install.sh local start client
    • Docker部署:
      • 方式1: 修改源码目录下的.docker_temp/configs/client/config.ini,并重启tca-services容器
      • 方式2: 进入tca-service容器后,修改/CodeAnalysis/client/config.ini,并退出重启tca-services容器
      • 重启容器方式:docker restart tca-service
    • Docker-Compose部署:
      • 修改源码目录下的client/config.ini,并重启client容器
      • 重启容器方式:docker-compose restart client
    1. 在 TCA 云官网上提交私有云 License 申请
    `,4),S={href:"https://tca.tencent.com/",target:"_blank",rel:"noopener noreferrer"},x=s("
  • (2) 进入需要申请私有云 License 申请的团队(如果没有的话需要创建对应团队);
  • (3) 在团队页面上,依次进入【节点管理】->【私有云 License 配置】页面,然后点击右上角的【申请License】按钮,填写相关信息即可提交申请。具体的信息内容如下:
    • 申请人名称
    • 申请人所在组织名称
    • 申请人所在组织类型:公司/高校/个人
    • 申请人邮箱
    • 申请人手机号码
    • Server ID:步骤一中输出的Server ID,首次登记的机器码
    • Client License:步骤一中输出的Client License
    • 应用场景
  • (4) 然后等待申请License审核通过,即可拷贝出该私有云 License 继续进行下面第4步的操作。
  • ",3),T={start:"4"},k={href:"https://github.com/Tencent/CodeAnalysis/blob/main/server/cls/config.yaml",target:"_blank",rel:"noopener noreferrer"},I=e("code",null,"config.yaml",-1),E=s(`

    注意

    注意:遵从 yaml 格式,比如:

    • 键值对中,冒号 : 后面跟一个空白字符,示例 key: value
    1. 执行以下命令启动 CLS
    ./cls server -d
    +
    1. 验证 CLS 进程正常启动
    # 查找是否存在CLS进程
    +ps aux|grep cls
    +
    `,5),D={class:"custom-container warning"},y=e("p",{class:"custom-container-title"},"注意",-1),N=e("br",null,null,-1),P={href:"https://github.com/Tencent/CodeAnalysis/blob/main/server/cls/config.yaml",target:"_blank",rel:"noopener noreferrer"},w=e("code",null,"config.yaml",-1),B=s(`
    1. 启动 TCA 分析任务 在 TCA 平台的分析方案里面勾选独立工具相关的规则包,比如依赖组件分析规则包,然后启动一次分析任务,执行正常则表明设置生效。

    CLS 运维

    自动重启

    # 查找CLS进程ID
    +ps aux|grep cls
    +# 重启微服务
    +kill -USR2 <pid>
    +

    网络异常

    如果以上部署步骤已经完成,但是增强功能还是出现 License check failed! Please check the license. License Server is not available! 异常。可以按照以下步骤进行排查:

    • 进入任务页面,点击异常工具,下载该工具的执行日志。如果日志中出现以下日志,则表明网络访问CLS异常;
    method(head) call fails on error: <urlopen error [Errno 111] Connection refused>
    +
    • 继续验证。如果是 Docker 或者 Docker-Compose 部署方式的话,进入 TCA Client 所在容器中。如果是源码部署,则来到 TCA Client 所在机器上。执行以下命令确认网络是否通路:
    ping <config.ini中填写的 CLS IP或者域名>
    +telnet <config.ini中填写的 CLS IP或者域名> <对应端口>
    +
    • 如果网络不通,请排查:
      • 防火墙是否开启对应端口;
      • CLS 对应域名是否在host中设置;
      • 是否IP设置错误。
    案例分享

    背景: 小明以 Docker 方式部署 TCA,并在相同宿主机上部署 CLS 服务,然后在 config.ini 中设置的 URL 中的 IP 为 127.0.0.1, 重启后启动增强功能任务遇到上述网络不通异常。
    原因: 原因是此时的 127.0.0.1 指向的是 TCA Client 容器自身,而不是部署在宿主机上的 CLS 服务。
    解决方案: 将 127.0.0.1 改成宿主机自身IP即可。

    CLS 更新

    1. 使用以下命令查找 cls 进程并杀掉进程
    # 查找CLS进程ID
    +ps aux|grep cls
    +# 重启微服务
    +kill -9 <pid>
    +
    1. 下载最新版的 cls 并覆盖掉其中的 cls 二进制文件

    注意

    注意:不能删除原来的 cls 目录,只需要替换其中的 cls 二进制文件即可。

    1. 使用以下命令重启 cls 服务
    ./cls server -d
    +
    `,20);function F(O,V){const l=c("ExternalLinkIcon");return d(),r("div",null,[o,e("p",null,[i("如果用户平常使用的是 "),e("a",u,[i("TCA 官网版公共服务"),n(l)]),i(",并想在官网版上体验到增强分析模块的分析能力,可以按照"),e("a",h,[i("这篇帮助文档"),n(l)]),i("进行申请配置。")]),v,e("ol",null,[e("li",null,[i("在 TCA 源码中"),e("a",m,[p,n(l)]),i(" 目录下执行以下命令,获取 "),b,i(" 和 "),g])]),_,e("ol",C,[e("li",null,[i("在 TCA Client目录的 "),e("a",L,[f,n(l)]),i(" 中配置 CLS 微服务信息,比如")])]),A,e("ul",null,[e("li",null,[i("(1) 在 "),e("a",S,[i("TCA 云官网"),n(l)]),i("上注册或登录账号;")]),x]),e("ol",T,[e("li",null,[i("在 CLS 目录下的 "),e("a",k,[I,n(l)]),i(" 文件中填写License")])]),E,e("div",D,[y,e("p",null,[i("注意:如果以上命令没有发现 CLS 的进程,则说明 CLS 没有正常启动。"),N,i(" 请尝试更改 "),e("a",P,[w,n(l)]),i(" 文件中的 port 为其他 port,比如8080,目前默认是80端口,然后重新执行步骤5的命令。")])]),B])}const U=a(t,[["render",F],["__file","enhanceDeploy.html.vue"]]);export{U as default}; diff --git a/assets/enhanceDeploy.html-56e5c83c.js b/assets/enhanceDeploy.html-56e5c83c.js new file mode 100644 index 000000000..713558695 --- /dev/null +++ b/assets/enhanceDeploy.html-56e5c83c.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-6825e832","path":"/en/quickStarted/enhanceDeploy.html","title":"Enhanced Analysis Module Deployment","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"Concepts","slug":"concepts","link":"#concepts","children":[]},{"level":2,"title":"Module Features","slug":"module-features","link":"#module-features","children":[]},{"level":2,"title":"TCA official website version enhanced capability application","slug":"tca-official-website-version-enhanced-capability-application","link":"#tca-official-website-version-enhanced-capability-application","children":[]},{"level":2,"title":"TCA Private Deployment Enhanced Capability Application","slug":"tca-private-deployment-enhanced-capability-application","link":"#tca-private-deployment-enhanced-capability-application","children":[{"level":3,"title":"Preparation","slug":"preparation","link":"#preparation","children":[]},{"level":3,"title":"Steps","slug":"steps","link":"#steps","children":[]},{"level":3,"title":"CLS Operation and Maintenance","slug":"cls-operation-and-maintenance","link":"#cls-operation-and-maintenance","children":[]}]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/quickStarted/enhanceDeploy.md"}');export{e as data}; diff --git a/assets/enhanceDeploy.html-7b9945cc.js b/assets/enhanceDeploy.html-7b9945cc.js new file mode 100644 index 000000000..c589379b1 --- /dev/null +++ b/assets/enhanceDeploy.html-7b9945cc.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-78b296b7","path":"/zh/quickStarted/enhanceDeploy.html","title":"增强分析模块部署","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"概念","slug":"概念","link":"#概念","children":[]},{"level":2,"title":"模块功能","slug":"模块功能","link":"#模块功能","children":[]},{"level":2,"title":"TCA 官网版增强能力申请","slug":"tca-官网版增强能力申请","link":"#tca-官网版增强能力申请","children":[]},{"level":2,"title":"TCA 私有化部署增强能力申请","slug":"tca-私有化部署增强能力申请","link":"#tca-私有化部署增强能力申请","children":[{"level":3,"title":"准备","slug":"准备","link":"#准备","children":[]},{"level":3,"title":"步骤","slug":"步骤","link":"#步骤","children":[]},{"level":3,"title":"CLS 运维","slug":"cls-运维","link":"#cls-运维","children":[]}]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/quickStarted/enhanceDeploy.md"}');export{l as data}; diff --git a/assets/enhanceDeploy.html-8c0e7dac.js b/assets/enhanceDeploy.html-8c0e7dac.js new file mode 100644 index 000000000..cd4be59c1 --- /dev/null +++ b/assets/enhanceDeploy.html-8c0e7dac.js @@ -0,0 +1,32 @@ +import{_ as o,r as l,o as s,c,a as i,b as e,d as a,e as n}from"./app-2a91d8ab.js";const r={},d=n('

    Enhanced Analysis Module Deployment

    In addition to integrating well-known analysis tools in the industry, TCA also has its own independently developed tools, which serve as the enhanced analysis module of TCA.

    The TCA enhanced analysis module requires users to additionally deploy the License authentication microservice and apply for a License by email.

    TIP

    1. License application is completely free! 2. Enterprises or universities are given priority in applying for a License.

    Concepts

    • Independent tools: Code analysis tools independently developed by TCA;
    • CLS(Common License Server): The License authentication microservice for TCA independent tools.

    Module Features

    • Supports Objective-C/C++ code specification check;
    • Supports analysis of project dependency components;
    • Supports analysis of whether dependency components have vulnerabilities and other issues;
    • Supports Java/Kotlin API and function call chain analysis;
    • Supports code safety, null pointer check, memory leak, and other rules.

    Continuously updating...

    TCA official website version enhanced capability application

    ',10),h={href:"https://tca.tencent.com/",target:"_blank",rel:"noopener noreferrer"},p={href:"https://tca.tencent.com/document/zh/guide/%E5%AE%A2%E6%88%B7%E7%AB%AF%E6%8E%A5%E5%85%A5/License%E9%85%8D%E7%BD%AE.html",target:"_blank",rel:"noopener noreferrer"},u=n(`

    TCA Private Deployment Enhanced Capability Application

    If you are using TCA in an enterprise intranet environment and want to experience the enhanced analysis module capabilities of TCA on the intranet, you can apply as follows.

    Preparation

    • A dedicated machine for the CLS microservice, the CLS microservice needs to be bound to this machine

    WARNING

    Note: The CLS directory cannot be deleted at will

    Steps

    1. Execute the following command in the server/cls directory of the TCA source code to obtain the Server ID and Client License

    WARNING

    Note: The command needs to be executed in the CLS directory

    # install Git LFS
    +$ bash ./scripts/base/install_git_lfs.sh
    +# If the cls binary is not found in this directory, you can execute the following command to synchronize.
    +$ bash ./scripts/base/install_bin.sh
    +$ cd server/cls
    +$ ./cls server
    +2022-04-13 18:35:29.356510559 +0800 CST [INFO] Version: 20220328.1
    +2022-04-13 18:35:29.44083463 +0800 CST [INFO] The client license is:
    +xxx
    +2022-04-13 18:35:29.454552966 +0800 CST [INFO] License Server ID: xxx
    +
    • Server ID: Machine code, used to apply for License authorization from the TCA team
    • Client License: Provided to the TCA Client to facilitate tool authentication (important, it is recommended to back up)
    1. Configure the CLS microservice information in the config.ini of the TCA Client directory, for example
    [LICENSE_CONFIG]
    +; [optional] Fill in when using independent tools, no need by default
    +; Domain name and port of the License service
    +URL=http://<IP or domain name>:<port>
    +BASE_PATH=
    +LICENSE=<Client License>
    +

    WARNING

    Note: The URL corresponding value does not need to follow the slash / at the end.

    WARNING

    Different deployment methods can modify the config.ini configuration according to the following methods:

    • Source code deployment:
      • Modify the client/config.ini in the source code directory
      • Restart the client: ./quick_install.sh local start client
    • Docker deployment:
      • Method 1: Modify the .docker_temp/configs/client/config.ini in the source code directory and restart the tca-services container
      • Method 2: Enter the tca-service container, modify /CodeAnalysis/client/config.ini, and exit and restart the tca-services container
      • Restart the container method: docker restart tca-service
    • Docker-Compose deployment:
      • Modify the client/config.ini in the source code directory and restart the client container
      • Restart the container method: docker-compose restart client
    1. Submit a private cloud license application on the TCA Cloud official website
    `,15),m={href:"https://tca.tencent.com/",target:"_blank",rel:"noopener noreferrer"},v=n("
  • (2) Enter the team that needs to apply for a private cloud license (if there is no team, you need to create a corresponding team);
  • (3) On the team page, enter the [Node Management]->[Private Cloud License Configuration] page in turn, then click the [Apply for License] button in the upper right corner, fill in the relevant information and submit the application. The specific information is as follows:
    • Applicant name
    • Applicant's organization name
    • Applicant's organization type: company/university/individual
    • Applicant's email address
    • Applicant's mobile phone number
    • Server ID: Server ID output in step 1, the machine code for the first registration
    • Client License: Client License output in step 1
    • Application scenario
  • (4) Then wait for the application license to be reviewed and approved, you can copy the private cloud license and continue with the following step 4.
  • ",3),f=n(`
    1. Fill in the License in the config.yaml file in the CLS directory

    WARNING

    Note: Follow the yaml format, for example:

    • In key-value pairs, there is a blank character after the colon :, for example key: value.
    1. Execute the following command to start CLS
    ./cls server -d
    +
    1. Verify that the CLS process starts normally
    # Find if there is a CLS process
    +ps aux|grep cls
    +

    WARNING

    Note: If the above command does not find the CLS process, it means that CLS did not start normally.
    Please try to change the port in the config.yaml file to another port, such as 8080, the default is port 80, and then re-execute the command in step 5.

    1. Start the TCA analysis task Check the independent tool-related rule package in the analysis plan on the TCA platform, such as the dependency component analysis rule package, and then start an analysis task. If it runs normally, it means the setting takes effect.

    CLS Operation and Maintenance

    Automatic Restart

    # Find the CLS process ID
    +ps aux|grep cls
    +# Restart the microservice
    +kill -USR2 <pid>
    +

    Network Exception

    If the above deployment steps have been completed, but the enhanced function still encounters the License check failed! Please check the license. License Server is not available! exception. You can troubleshoot as follows:

    • Enter the task page, click on the abnormal tool, and download the execution log of the tool. If the following logs appear in the log, it means that the network access to CLS is abnormal;
    method(head) call fails on error: <urlopen error [Errno 111] Connection refused>
    +
    • Continue to verify. If it is Docker or Docker-Compose deployment method, enter the TCA Client container. If it is a source code deployment, go to the TCA Client machine. Execute the following command to confirm whether the network is accessible:
    ping <CLS IP or domain name filled in config.ini>
    +telnet <CLS IP or domain name filled in config.ini> <corresponding port>
    +
    • If the network is not accessible, please check:
      • Whether the firewall has opened the corresponding port;
      • Whether the corresponding domain name of CLS is set in the host;
      • Whether the IP setting is wrong.
    Case Sharing

    Background: Xiao Ming deployed TCA in Docker mode and deployed the CLS service on the same host. Then he set the IP in the URL in config.ini to 127.0.0.1, restarted and started the enhanced function task and encountered the above network disconnection exception.
    Reason: The reason is that the 127.0.0.1 at this time points to the TCA Client container itself, not the CLS service deployed on the host.
    Solution: Change 127.0.0.1 to the host's own IP.

    CLS Update

    1. Use the following command to find the cls process and kill the process
    # Find the CLS process ID
    +ps aux|grep cls
    +# Restart the microservice
    +kill -9 <pid>
    +
    1. Download the latest version of cls and replace the cls binary file in it

    WARNING

    Note: You cannot delete the original cls directory, you only need to replace the cls binary file in it.

    1. Use the following command to restart the cls service
    ./cls server -d
    +
    `,27);function g(b,y){const t=l("ExternalLinkIcon");return s(),c("div",null,[d,i("p",null,[e("If users usually use "),i("a",h,[e("TCA official website version public service"),a(t)]),e(" and want to experience the analysis capabilities of the enhanced analysis module on the official website version, they can follow "),i("a",p,[e("this help document"),a(t)]),e(" to apply for configuration.")]),u,i("ul",null,[i("li",null,[e("(1) Register or log in to an account on the "),i("a",m,[e("TCA Cloud official website"),a(t)]),e(";")]),v]),f])}const w=o(r,[["render",g],["__file","enhanceDeploy.html.vue"]]);export{w as default}; diff --git a/assets/enhanced_safety_java.html-006895cc.js b/assets/enhanced_safety_java.html-006895cc.js new file mode 100644 index 000000000..7a5fcca5d --- /dev/null +++ b/assets/enhanced_safety_java.html-006895cc.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-dd34d7c8","path":"/zh/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E8%A7%84%E5%88%99%E5%8C%85/enhanced_safety_java.html","title":"【Java】强化安全规则包","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"规则列表","slug":"规则列表","link":"#规则列表","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/guide/代码检查/规则包/enhanced_safety_java.md"}');export{e as data}; 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diff --git a/assets/enhanced_safety_java.html-7731bb0b.js b/assets/enhanced_safety_java.html-7731bb0b.js new file mode 100644 index 000000000..23a35f9c9 --- /dev/null +++ b/assets/enhanced_safety_java.html-7731bb0b.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-918a6bfe","path":"/en/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E8%A7%84%E5%88%99%E5%8C%85/enhanced_safety_java.html","title":"【Java】强化安全规则包","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"规则列表","slug":"规则列表","link":"#规则列表","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/guide/代码检查/规则包/enhanced_safety_java.md"}');export{e as data}; diff --git a/assets/enhanced_safety_java.html-7a9b7b0d.js b/assets/enhanced_safety_java.html-7a9b7b0d.js new file mode 100644 index 000000000..cae0ab32a --- /dev/null +++ b/assets/enhanced_safety_java.html-7a9b7b0d.js @@ -0,0 +1 @@ +import{_ as a,r as o,o as l,c as s,a as e,b as n,d as r}from"./app-2a91d8ab.js";const i={},h=e("h1",{id:"【java】强化安全规则包",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#【java】强化安全规则包","aria-hidden":"true"},"#"),n(" 【Java】强化安全规则包")],-1),c={href:"https://tencent.github.io/CodeAnalysis/zh/quickStarted/enhanceDeploy.html",target:"_blank",rel:"noopener noreferrer"},d=e("h2",{id:"规则列表",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#规则列表","aria-hidden":"true"},"#"),n(" 规则列表")],-1),A={href:"https://tencent.github.io/CodeAnalysis/en/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E5%B7%A5%E5%85%B7/TCA-Armory-C1.html#CmdInject",target:"_blank",rel:"noopener noreferrer"},_={href:"https://tencent.github.io/CodeAnalysis/en/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E5%B7%A5%E5%85%B7/TCA-Armory-C1.html#PathTraversal",target:"_blank",rel:"noopener noreferrer"},E={href:"https://tencent.github.io/CodeAnalysis/en/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E5%B7%A5%E5%85%B7/TCA-Armory-C1.html#SQLInject",target:"_blank",rel:"noopener noreferrer"},u={href:"https://tencent.github.io/CodeAnalysis/en/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E5%B7%A5%E5%85%B7/TCA-Armory-C1.html#SSRF",target:"_blank",rel:"noopener noreferrer"},f={href:"https://tencent.github.io/CodeAnalysis/en/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E5%B7%A5%E5%85%B7/TCA-Armory-C1.html#XSS",target:"_blank",rel:"noopener noreferrer"};function B(m,p){const t=o("ExternalLinkIcon");return l(),s("div",null,[h,e("p",null,[n("针对 Java 语言的强化代码安全规则包,属于 TCA 增强分析模块的能力之一,请参考"),e("a",c,[n("增强分析模块部署"),r(t)]),n("文档进行部署。")]),d,e("ul",null,[e("li",null,[e("a",A,[n("CmdInject"),r(t)])]),e("li",null,[e("a",_,[n("PathTraversal"),r(t)])]),e("li",null,[e("a",E,[n("SQLInject"),r(t)])]),e("li",null,[e("a",u,[n("SSRF"),r(t)])]),e("li",null,[e("a",f,[n("XSS"),r(t)])])])])}const g=a(i,[["render",B],["__file","enhanced_safety_java.html.vue"]]);export{g as default}; diff --git a/assets/eslint.html-0421823e.js b/assets/eslint.html-0421823e.js new file mode 100644 index 000000000..943ede9fa --- /dev/null +++ b/assets/eslint.html-0421823e.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-438ad62a","path":"/zh/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E5%B7%A5%E5%85%B7/eslint.html","title":"Eslint 使用手册","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"适用场景","slug":"适用场景","link":"#适用场景","children":[]},{"level":2,"title":"快速接入","slug":"快速接入","link":"#快速接入","children":[]},{"level":2,"title":"高级配置","slug":"高级配置","link":"#高级配置","children":[{"level":3,"title":"基础概念","slug":"基础概念","link":"#基础概念","children":[]},{"level":3,"title":"设置 Globals","slug":"设置-globals","link":"#设置-globals","children":[]},{"level":3,"title":"指定参数配置文件","slug":"指定参数配置文件","link":"#指定参数配置文件","children":[]},{"level":3,"title":"指定 Eslint 配置文件","slug":"指定-eslint-配置文件","link":"#指定-eslint-配置文件","children":[]},{"level":3,"title":"设置配置类型","slug":"设置配置类型","link":"#设置配置类型","children":[]},{"level":3,"title":"配置优先顺序","slug":"配置优先顺序","link":"#配置优先顺序","children":[]},{"level":3,"title":"分析路径配置","slug":"分析路径配置","link":"#分析路径配置","children":[]}]},{"level":2,"title":"Q&A","slug":"q-a","link":"#q-a","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/guide/代码检查/工具/eslint.md"}');export{l as data}; diff --git a/assets/eslint.html-4b6f5c3f.js b/assets/eslint.html-4b6f5c3f.js new file mode 100644 index 000000000..4b8462316 --- /dev/null +++ b/assets/eslint.html-4b6f5c3f.js @@ -0,0 +1,4 @@ +import{_ as t,o as e,c as l,e as i}from"./app-2a91d8ab.js";const a={},d=i(`

    Eslint 使用手册

    代码分析支持 Eslint 分析,并支持用户自由扩展配置。

    适用场景

    目前 TCA-Eslint 的适用场景很广,灵活扩展:

    • JavaScript
    • TypeScript
    • React
    • Vue
    • Google 代码规范分析
    • 其他,包括项目自己维护的 Eslint 配置

    快速接入

    以下是接入步骤:

    1. 在代码分析创建项目,会自动匹配 JavaScript 或者 TypeScript 对应的推荐规则集
    2. 启动分析即可

    高级配置

    基础概念

    在进行高级配置之前,这里先普及下代码分析这边的基础概念——Eslint 类型。 由于 JavaScript 语法、 Vue 语法和 TypeScript 语法之间的区别,三者使用的语法解析器也是不一样的,这里基于其使用的语法解析器的不同,从 Eslint 中拆分出来了 Eslint_vue 和 Eslint_typescript 工具。可以根据需要选择对应工具下的规则进行分析。而配置也会基于类型的不同匹配到对应的工具中。 目前代码分析上 Eslint 类型有:

    • JAVASCRIPT
      分析 JavaScript 以及基于 JavaScript 写的 React 代码,默认分析文件后缀名为.js,.jsx
    • VUE
      分析 Vue 框架的代码,默认分析文件后缀名为.vue
    • TYPESCRIPT
      分析 TypeScript 以及基于 TypeScript 写的 React 代码,默认分析文件后缀名为.ts,tsx

    设置 Globals

    因为项目会用到各式各样的框架,其中会有全局变量是 Eslint 无法识别到的,比如 _ 或者 jtest,从而导致分析出不少误报。这里支持使用下面环境变量设置这些全局变量,减少误报。可以在代码分析项目中设置对应的环境变量。

    环境变量名称描述
    ESLINT_JAVASCRIPT_GLOBALS字符串,以分号分割
    ESLINT_VUE_GLOBALS字符串,以分号分割
    ESLINT_TYPESCRIPT_GLOBALS字符串,以分号分割

    比如:

    ESLINT_JAVASCRIPT_GLOBALS=_:readonly;jtest:readonly
    +

    其中,

    • writable 表示允许重写变量
    • readonly 表示不允许重写变量
    • off 表示禁用该全局变量

    指定参数配置文件

    代码分析执行 Eslint 分析,默认会使用 Alloy Team 的 Eslint 配置来分析,但是也支持修改配置。

    1. 在代码库中创建一个参数配置 Json 文件,结果类似 Eslint 的 Json 配置文件
    2. 在代码分析项目设置下面对应环境变量,指向这个参数配置文件 指定了参数配置文件之后,Eslint 分析时候就会自动将代码分析默认的配置与该参数配置文件进行合并。
    3. 启动全量分析即可
    环境变量名称描述
    ESLINT_JAVASCRIPT_OPTIONS字符串,相对代码库根目录路径
    ESLINT_VUE_OPTIONS字符串,相对代码库根目录路径
    ESLINT_TYPESCRIPT_OPTIONS字符串,相对代码库根目录路径

    指定 Eslint 配置文件

    代码分析也支持用户指定自己维护的 Eslint 配置文件进行分析。

    环境变量名称描述
    ESLINT_JAVASCRIPT_CONFIG字符串,相对代码库根目录路径
    ESLINT_VUE_CONFIG字符串,相对代码库根目录路径
    ESLINT_TYPESCRIPT_CONFIG字符串,相对代码库根目录路径

    设置配置类型

    代码分析自带支持 Google 代码规范,可以在代码分析项目设置对应环境变量,使用对应的配置文件。

    环境变量名称描述
    ESLINT_JAVASCRIPT_CONFIG_TYPE字符串, google,default,custom
    ESLINT_VUE_CONFIG_TYPE字符串, 可选:default,custom
    ESLINT_TYPESCRIPT_CONFIG_TYPE字符串, 可选:default,custom

    其中:

    • google,表示使用 google 代码规范配置文件
    • default,表示使用代码分析维护的配置文件
    • custom,表示使用项目代码库中 Eslint 配置文件

    配置优先顺序

    这里介绍 TCA-Eslint 的配置使用顺序:

    1. 优先检查是否设置对应的 ESLINT_CONFIG 环境变量,比如 ESLINT_JAVASCRIPT_CONFIG
    2. 然后检查是否设置对应的 ESLINT_CONFIG_TYPE 环境变量,比如 ESLINT_JAVASCRIPT_CONFIG_TYPE
    3. 若是 JAVASCRIPT 类型的项目,会自动检测代码库根目录下是否有 ESLINT 配置文件,若有则使用该配置文件进行分析,其他类型的项目便不会有这一步
    4. 使用代码分析维护的 Alloy Team 的配置文件进行分析

    分析路径配置

    可以在代码分析页面上设置分析路径设置,这里建议多使用 Exclude 设置,因为 Eslint 工具本身对 include 支持不友好。

    Q&A

    Q:JavaScript 内存溢出

    A:Eslint 执行可能会出现 Js 内存溢出,以下有三种方案可以解决:

    • 可以设置环境变量 NODE_OPTIONS,比如
    NODE_OPTIONS="--max-old-space-size=4096"
    +
    • 设置环境变量 ESLINT_MAX_OLD_SPACE_SIZE,比如
    ESLINT_MAX_OLD_SPACE_SIZE=4096
    +
    • 设置分析路径过滤,将无用的文件进行过滤

    Q:一个配置同时分析 JS 和 TS

    A:若代码库中既有 JavaScript 代码,又有 TypeScript 代码,并且共用一个配置文件。 若规则集中既有 Eslint 规则又有 Eslint_typescript 规则,为了避免执行两次 Eslint 以及可能出现重复单的情况,并且因为 Eslint_typescript 的语法解析器也能够解析 JavaScript 代码,所以这里将这样的项目当作 TypeScript 项目。

    1. 这里建议只指定 ESLINT_TYPESCRIPT_CONFIG 环境变量
    2. 规则集中剔除 Eslint 的规则,只保留 Eslint_typescript 规则。
    3. 并指定 ESLINT_TYPESCRIPT_EXT=.js,.jsx,.ts,.tsx

    Q:找不到依赖

    A:用户自己配置的配置文件中,可能会用到代码分析没有管理到的规则插件,导致分析时候找不到对应的依赖,这里有两个方案提供解决:

    • 在代码库根目录下 npm 安装对应插件,并设置分析路径过滤 node_modules

    Q:custom 与指定配置文件的区别

    A:- custom 模式,会检测代码库中的 Eslint 配置文件进行分析,包括子目录和代码注释中设置的配置,都是可以生效的。

    • 相对的,指定配置文件的方式,只会对指定的配置文件中的配置会生效。
    `,53),s=[d];function n(r,h){return e(),l("div",null,s)}const o=t(a,[["render",n],["__file","eslint.html.vue"]]);export{o as default}; diff --git a/assets/eslint.html-6696da7c.js b/assets/eslint.html-6696da7c.js new file mode 100644 index 000000000..4d3ef729a --- /dev/null +++ b/assets/eslint.html-6696da7c.js @@ -0,0 +1,4 @@ +import{_ as t,o as e,c as l,e as i}from"./app-2a91d8ab.js";const a={},d=i(`

    Eslint 使用手册

    代码分析支持 Eslint 分析,并支持用户自由扩展配置。

    适用场景

    目前 TCA-Eslint 的适用场景很广,灵活扩展:

    • JavaScript
    • TypeScript
    • React
    • Vue
    • Google 代码规范分析
    • 其他,包括项目自己维护的 Eslint 配置

    快速接入

    以下是接入步骤:

    1. 在代码分析创建项目,会自动匹配 JavaScript 或者 TypeScript 对应的推荐规则集
    2. 启动分析即可

    高级配置

    基础概念

    在进行高级配置之前,这里先普及下代码分析这边的基础概念——Eslint 类型。 由于 JavaScript 语法、 Vue 语法和 TypeScript 语法之间的区别,三者使用的语法解析器也是不一样的,这里基于其使用的语法解析器的不同,从 Eslint 中拆分出来了 Eslint_vue 和 Eslint_typescript 工具。可以根据需要选择对应工具下的规则进行分析。而配置也会基于类型的不同匹配到对应的工具中。 目前代码分析上 Eslint 类型有:

    • JAVASCRIPT 分析 JavaScript 以及基于 JavaScript 写的 React 代码,默认分析文件后缀名为.js,.jsx
    • VUE 分析 Vue 框架的代码,默认分析文件后缀名为.vue
    • TYPESCRIPT 分析 TypeScript 以及基于 TypeScript 写的 React 代码,默认分析文件后缀名为.ts,tsx

    设置 Globals

    因为项目会用到各式各样的框架,其中会有全局变量是 Eslint 无法识别到的,比如 _ 或者 jtest,从而导致分析出不少误报。这里支持使用下面环境变量设置这些全局变量,减少误报。可以在代码分析项目中设置对应的环境变量。

    环境变量名称描述
    ESLINT_JAVASCRIPT_GLOBALS字符串,以分号分割
    ESLINT_VUE_GLOBALS字符串,以分号分割
    ESLINT_TYPESCRIPT_GLOBALS字符串,以分号分割

    比如:

    ESLINT_JAVASCRIPT_GLOBALS=_:readonly;jtest:readonly
    +

    其中,

    • writable 表示允许重写变量
    • readonly 表示不允许重写变量
    • off 表示禁用该全局变量

    指定参数配置文件

    代码分析执行 Eslint 分析,默认会使用 Alloy Team 的 Eslint 配置来分析,但是也支持修改配置。

    1. 在代码库中创建一个参数配置 Json 文件,结果类似 Eslint 的 Json 配置文件
    2. 在代码分析项目设置下面对应环境变量,指向这个参数配置文件 指定了参数配置文件之后,Eslint 分析时候就会自动将代码分析默认的配置与该参数配置文件进行合并。
    3. 启动全量分析即可
    环境变量名称描述
    ESLINT_JAVASCRIPT_OPTIONS字符串,相对代码库根目录路径
    ESLINT_VUE_OPTIONS字符串,相对代码库根目录路径
    ESLINT_TYPESCRIPT_OPTIONS字符串,相对代码库根目录路径

    指定 Eslint 配置文件

    代码分析也支持用户指定自己维护的 Eslint 配置文件进行分析。

    环境变量名称描述
    ESLINT_JAVASCRIPT_CONFIG字符串,相对代码库根目录路径
    ESLINT_VUE_CONFIG字符串,相对代码库根目录路径
    ESLINT_TYPESCRIPT_CONFIG字符串,相对代码库根目录路径

    设置配置类型

    代码分析自带支持 Google 代码规范,可以在代码分析项目设置对应环境变量,使用对应的配置文件。

    环境变量名称描述
    ESLINT_JAVASCRIPT_CONFIG_TYPE字符串, google,default,custom
    ESLINT_VUE_CONFIG_TYPE字符串, 可选:default,custom
    ESLINT_TYPESCRIPT_CONFIG_TYPE字符串, 可选:default,custom

    其中:

    • google,表示使用 google 代码规范配置文件
    • default,表示使用代码分析维护的配置文件
    • custom,表示使用项目代码库中 Eslint 配置文件

    配置优先顺序

    这里介绍 TCA-Eslint 的配置使用顺序:

    1. 优先检查是否设置对应的 ESLINT_CONFIG 环境变量,比如 ESLINT_JAVASCRIPT_CONFIG
    2. 然后检查是否设置对应的 ESLINT_CONFIG_TYPE 环境变量,比如 ESLINT_JAVASCRIPT_CONFIG_TYPE
    3. 若是 JAVASCRIPT 类型的项目,会自动检测代码库根目录下是否有 ESLINT 配置文件,若有则使用该配置文件进行分析,其他类型的项目便不会有这一步
    4. 使用代码分析维护的 Alloy Team 的配置文件进行分析

    分析路径配置

    可以在代码分析页面上设置分析路径设置,这里建议多使用 Exclude 设置,因为 Eslint 工具本身对 include 支持不友好。

    Q&A

    Q:JavaScript 内存溢出

    A:Eslint 执行可能会出现 Js 内存溢出,以下有三种方案可以解决:

    • 可以设置环境变量 NODE_OPTIONS,比如
    NODE_OPTIONS="--max-old-space-size=4096"
    +
    • 设置环境变量 ESLINT_MAX_OLD_SPACE_SIZE,比如
    ESLINT_MAX_OLD_SPACE_SIZE=4096
    +
    • 设置分析路径过滤,将无用的文件进行过滤

    Q:一个配置同时分析 JS 和 TS

    A:若代码库中既有 JavaScript 代码,又有 TypeScript 代码,并且共用一个配置文件。 若规则集中既有 Eslint 规则又有 Eslint_typescript 规则,为了避免执行两次 Eslint 以及可能出现重复单的情况,并且因为 Eslint_typescript 的语法解析器也能够解析 JavaScript 代码,所以这里将这样的项目当作 TypeScript 项目。

    1. 这里建议只指定 ESLINT_TYPESCRIPT_CONFIG 环境变量
    2. 规则集中剔除 Eslint 的规则,只保留 Eslint_typescript 规则。
    3. 并指定 ESLINT_TYPESCRIPT_EXT=.js,.jsx,.ts,.tsx

    Q:找不到依赖

    A:用户自己配置的配置文件中,可能会用到代码分析没有管理到的规则插件,导致分析时候找不到对应的依赖,这里有两个方案提供解决:

    • 在代码库根目录下 npm 安装对应插件,并设置分析路径过滤 node_modules

    Q:custom 与指定配置文件的区别

    A:- custom 模式,会检测代码库中的 Eslint 配置文件进行分析,包括子目录和代码注释中设置的配置,都是可以生效的。

    • 相对的,指定配置文件的方式,只会对指定的配置文件中的配置会生效。
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    背景

    前端项目在长期发展过程中,由于框架开源许可证变更、框架性能外观等不适用等因素,需要对前端框架进行平滑切换,而这就需要腾讯云代码分析 TCA 的介入,方便对企业内所有前端项目进行批量分析统计,方便管理。

    需求

    • 检查代码仓库中使用到指定前端框架的代码位置。

    示例

    {
    +  "name": "framework",
    +  "version": "1.0.0",
    +  "dependencies": {
    +    "react": "^17.0.2", // 触发规则
    +    "react-dom": "^17.0.2", // 触发规则
    +    "react-hotkeys-hook": "^3.4.3", // 触发规则
    +    "react-redux": "^7.2.5", // 触发规则
    +    "single-spa": "^5.9.3",
    +    "universal-cookie": "^4.0.4"
    +  },
    +}
    +

    快速体验

    TCA 现已支持前端框架检查规则包,可以在 TCA 分析方案中搜索勾选以下规则包,快速体验。

    启用规则包

    分析方案 -> 代码检查 -> 前端框架检查规则包 -> 启用/查看规则

    支持框架

    • TDesign
    • AntD
    • React
    • Vue

    更多

    更多框架支持,欢迎提 issue 进行咨询扩展。

    `,15),t=[r];function o(s,u){return a(),i("div",null,t)}const c=e(d,[["render",o],["__file","front_end_framework_check.html.vue"]]);export{c as default}; diff --git a/assets/front_end_framework_check.html-2b5efba2.js b/assets/front_end_framework_check.html-2b5efba2.js new file mode 100644 index 000000000..46a550cf4 --- /dev/null +++ b/assets/front_end_framework_check.html-2b5efba2.js @@ -0,0 +1,13 @@ +import{_ as e,o as a,c as i,e as n}from"./app-2a91d8ab.js";const d={},r=n(`

    前端框架检查规则包

    背景

    前端项目在长期发展过程中,由于框架开源许可证变更、框架性能外观等不适用等因素,需要对前端框架进行平滑切换,而这就需要腾讯云代码分析 TCA 的介入,方便对企业内所有前端项目进行批量分析统计,方便管理。

    需求

    • 检查代码仓库中使用到指定前端框架的代码位置。

    示例

    {
    +  "name": "framework",
    +  "version": "1.0.0",
    +  "dependencies": {
    +    "react": "^17.0.2", // 触发规则
    +    "react-dom": "^17.0.2", // 触发规则
    +    "react-hotkeys-hook": "^3.4.3", // 触发规则
    +    "react-redux": "^7.2.5", // 触发规则
    +    "single-spa": "^5.9.3",
    +    "universal-cookie": "^4.0.4"
    +  },
    +}
    +

    快速体验

    TCA 现已支持前端框架检查规则包,可以在 TCA 分析方案中搜索勾选以下规则包,快速体验。

    启用规则包

    分析方案 -> 代码检查 -> 前端框架检查规则包 -> 启用/查看规则

    支持框架

    • TDesign
    • AntD
    • React
    • Vue

    更多

    更多框架支持,欢迎提 issue 进行咨询扩展。

    `,15),t=[r];function o(s,u){return a(),i("div",null,t)}const c=e(d,[["render",o],["__file","front_end_framework_check.html.vue"]]);export{c as default}; diff --git a/assets/front_end_framework_check.html-755e8478.js b/assets/front_end_framework_check.html-755e8478.js new file mode 100644 index 000000000..e42be40ec --- /dev/null +++ b/assets/front_end_framework_check.html-755e8478.js @@ -0,0 +1 @@ +const 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new file mode 100644 index 000000000..f0da00e0d --- /dev/null +++ b/assets/front_end_framework_check.html-bc39db93.js @@ -0,0 +1 @@ +const 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    私有化gitlab Oauth认证

    一、操作步骤

    1、 本地gitlab 生成 application

    (1)进入Preferences模块

    (2)选择Application模块

    (3)添加新的application

    (4)填写name、Redirect url并勾选可用权限

    (5)保存application

    2、在项目配置文件中添加相关配置信息

    以下三种部署方式选择其中一项即可。

    (1)docker-compose 部署方式

    找到server/dockerconfs/ 目录下的 .env.local 文件,添加配置信息。

    #Oauth认证相关配置
    +GITLAB_OAUTH_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/oauth/authorize/"
    +GITLAB_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/"
    +

    在项目根目录下执行更新部署操作

    bash ./quick_install.sh docker-compose stop  #停止运行中的TCA容器
    +bash ./quick_install.sh docker-compose deploy  #重新部署TCA相关容器与初始化(或刷新数据)
    +

    (2)docker 部署方式

    在/.docker_temp/configs/config.sh 中添加以下配置 (首次部署无该文件夹)

    #Oauth认证相关配置
    +export GITLAB_OAUTH_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/oauth/authorize/"
    +export GITLAB_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/"
    +

    在项目根目录下执行更新部署操作

    bash ./quick_install.sh docker deploy
    +

    (3)源代码部署方式

    在/scripts/config.sh 中添加以下配置

    #Oauth认证相关配置
    +export GITLAB_OAUTH_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/oauth/authorize/"
    +export GITLAB_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/"
    +

    在项目根目录下执行重新启动操作

    bash ./quick_install.sh local start  #启动服务(会自动关闭之前的服务)
    +

    3、代码分析平台添加Oauth配置

    (1)进入后台管理

    (2)选择Oauth管理

    (3)创建配置,将application中的Application ID、Secret 和 Callback URL分别填入指定位置。

    (4)前往个人凭证管理,点击认证。

    (5)弹出私有化gitlab的页面,点击Authorize 进行授权。

    (6)授权成功

    二、详细操作过程说明

    1、 本地gitlab 生成 application

    (1)进入Preferences模块

    gitlab_application

    (2)选择Application模块

    gitlab_application

    (3)添加新的application

    填写重定向url,“http://<部署gitlab的ip地址>/cb_git_auth/gitlab”

    scopes尽量都勾选,以开启对私有化代码库的访问权限 gitlab_application

    保存application gitlab_application 这里的Application ID、Secret 和 Callback URL 之后需要填写到代码分析服务中。

    2、在项目配置文件中添加相关配置信息

    以下三种部署方式选择其中一项即可。

    (1)docker-compose 部署方式

    找到server/dockerconfs/ 目录下的 .env.local 文件,添加配置信息。

    #Oauth认证相关配置
    +GITLAB_OAUTH_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/oauth/authorize/"
    +GITLAB_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/"
    +

    在项目根目录下执行更新部署操作

    bash ./quick_install.sh docker-compose stop  #停止运行中的TCA容器
    +bash ./quick_install.sh docker-compose deploy  #重新部署TCA相关容器与初始化(或刷新数据)
    +

    (2)docker 部署方式

    在/.docker_temp/configs/config.sh 中添加以下配置 (首次部署无该文件夹)

    #Oauth认证相关配置
    +export GITLAB_OAUTH_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/oauth/authorize/"
    +export GITLAB_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/"
    +

    在项目根目录下执行更新部署操作

    bash ./quick_install.sh docker deploy
    +

    (3)源代码部署方式

    在/scripts/config.sh 中添加以下配置

    #Oauth认证相关配置
    +export GITLAB_OAUTH_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/oauth/authorize/"
    +export GITLAB_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/"
    +

    在项目根目录下执行重新启动操作

    bash ./quick_install.sh local start  #启动服务(会自动关闭之前的服务)
    +

    3、代码分析平台添加Oauth配置

    (1)进入后台管理

    gitlab_oauth_disposition

    (2)进入Oauth管理

    gitlab_oauth_disposition

    (3)创建配置

    将application中的Application ID、Secret 和 Callback URL分别填入 gitlab_oauth_disposition

    (4)前往个人凭证管理,点击认证

    gitlab_oauth_dispositiongitlab_oauth_disposition

    (5)弹出私有化gitlab的页面,点击Authorize 进行授权。

    gitlab_oauth_disposition

    (6)授权成功

    gitlab_oauth_disposition

    三、常见问题

    1、使用Oauth登录的方式,认证时跳转页面失败

    gitlab_oauth_QA

    错误详情:

    An error has occurred

    Client authentication failed due to unknown client, no client authentication included, or unsupported authentication method.

    解决方案:

    gitlab_oauth_QA

    如图,GITLAB_OAUTH_URL没有配置,默认使用 https://gitlab.com/oauth/authorize 。

    需要根据项目部署方式,修改配置信息。

    (1)docker-compose 部署方式

    找到server/dockerconfs/ 目录下的 .env.local 文件,添加配置信息

    GITLAB_OAUTH_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/oauth/authorize/"
    +

    (2)docker 部署方式

    在/.docker_temp/configs/config.sh 中添加以下配置 (首次部署无该文件夹)

    export GITLAB_OAUTH_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/oauth/authorize/"
    +

    (3)源代码部署方式

    在/scripts/config.sh 中添加以下配置

    export GITLAB_OAUTH_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/oauth/authorize/"
    +

    2、无法找到本地部署的服务对应的前端页面

    gitlab_oauth_QA

    错误详情:

    此站点的连接不安全,发送了无效的响应。

    ERR_SSL_PROTOCOL_ERROR

    解决方案:

    配置的url存在问题,可能使用了https协议,访问本地ip不能用https协议,修改成http。

    3、认证没有跳转到正确的页面,或直接跳回到代码分析平台登陆界面。

    解决方案:

    (1)检查配置url是否加端口号,默认80端口可能已经被占用,或已经分配给代码分析平台。 gitlab_oauth_QA

    (2)检查回调地址是否填写端口号 gitlab_oauth_QA

    4、OAuth授权失败

    gitlab_oauth_QA

    错误详情:

    oauth failed, err: 未知错误: <class 'Exception'>:{method: git_oauth, error_message: [400] 授权异常,请稍后再试,异常原因:{"error":"invalid_client","error_description":"Client authentication failed due to unknown client, no client authentication included, or unsupported authentication method."}}

    解决方案:

    client.py 中存在默认的GITLAB_URL,如果在配置文件中没有设置GITLAB_URL,那么TCA将默认访问https://gitlab.com

    GITLAB_URL = os.environ.get("GITLAB_URL") or "https://gitlab.com"
    +

    客户端调用的API都需要使用到GITLAB_URL作为前缀的路径,会发送post请求到 https://gitlab.com 路径下,因此需要对路径进行修改。

    gitlab_oauth_QA

    要连接私有化的gitlab,需要根据项目部署方式,修改配置信息。

    (1)docker-compose 部署方式

    找到server/dockerconfs/ 目录下的 .env.local 文件,添加配置信息

    GITLAB_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/"
    +

    (2)docker 部署方式

    在/.docker_temp/configs/config.sh 中添加以下配置 (首次部署无该文件夹)

    export GITLAB_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/"
    +

    (3)源代码部署方式

    在/scripts/config.sh 中添加以下配置

    export GITLAB_URL="http://<部署gitlab的ip地址>:<gitlab 端口号>/"
    +
    `,121),R=[C];function q(U,I){return e(),i("div",null,R)}const L=a(B,[["render",q],["__file","gitlab_oauth_guide.html.vue"]]);export{L as default}; diff --git a/assets/gitlab_oauth_guide.html-d11fffe7.js b/assets/gitlab_oauth_guide.html-d11fffe7.js new file mode 100644 index 000000000..701f75356 --- /dev/null +++ b/assets/gitlab_oauth_guide.html-d11fffe7.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-c3df2014","path":"/zh/guide/%E6%9C%8D%E5%8A%A1%E7%AB%AF/gitlab_oauth_guide.html","title":"私有化gitlab Oauth认证","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"一、操作步骤","slug":"一、操作步骤","link":"#一、操作步骤","children":[{"level":3,"title":"1、 本地gitlab 生成 application","slug":"_1、-本地gitlab-生成-application","link":"#_1、-本地gitlab-生成-application","children":[]},{"level":3,"title":"2、在项目配置文件中添加相关配置信息","slug":"_2、在项目配置文件中添加相关配置信息","link":"#_2、在项目配置文件中添加相关配置信息","children":[]},{"level":3,"title":"3、代码分析平台添加Oauth配置","slug":"_3、代码分析平台添加oauth配置","link":"#_3、代码分析平台添加oauth配置","children":[]}]},{"level":2,"title":"二、详细操作过程说明","slug":"二、详细操作过程说明","link":"#二、详细操作过程说明","children":[{"level":3,"title":"1、 本地gitlab 生成 application","slug":"_1、-本地gitlab-生成-application-1","link":"#_1、-本地gitlab-生成-application-1","children":[]},{"level":3,"title":"2、在项目配置文件中添加相关配置信息","slug":"_2、在项目配置文件中添加相关配置信息-1","link":"#_2、在项目配置文件中添加相关配置信息-1","children":[]},{"level":3,"title":"3、代码分析平台添加Oauth配置","slug":"_3、代码分析平台添加oauth配置-1","link":"#_3、代码分析平台添加oauth配置-1","children":[]}]},{"level":2,"title":"三、常见问题","slug":"三、常见问题","link":"#三、常见问题","children":[{"level":3,"title":"1、使用Oauth登录的方式,认证时跳转页面失败","slug":"_1、使用oauth登录的方式-认证时跳转页面失败","link":"#_1、使用oauth登录的方式-认证时跳转页面失败","children":[]},{"level":3,"title":"2、无法找到本地部署的服务对应的前端页面","slug":"_2、无法找到本地部署的服务对应的前端页面","link":"#_2、无法找到本地部署的服务对应的前端页面","children":[]},{"level":3,"title":"3、认证没有跳转到正确的页面,或直接跳回到代码分析平台登陆界面。","slug":"_3、认证没有跳转到正确的页面-或直接跳回到代码分析平台登陆界面。","link":"#_3、认证没有跳转到正确的页面-或直接跳回到代码分析平台登陆界面。","children":[]},{"level":3,"title":"4、OAuth授权失败","slug":"_4、oauth授权失败","link":"#_4、oauth授权失败","children":[]}]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/guide/服务端/gitlab_oauth_guide.md"}');export{l 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/dev/null +++ b/assets/golangcilint.html-2e27c271.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-33a5d252","path":"/en/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E5%B7%A5%E5%85%B7/golangcilint.html","title":"Golangcilint 使用手册","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"对比 GoMetaLinter","slug":"对比-gometalinter","link":"#对比-gometalinter","children":[]},{"level":2,"title":"快速接入","slug":"快速接入","link":"#快速接入","children":[]},{"level":2,"title":"高级配置","slug":"高级配置","link":"#高级配置","children":[{"level":3,"title":"Include","slug":"include","link":"#include","children":[]}]},{"level":2,"title":"Q&A","slug":"q-a","link":"#q-a","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/guide/代码检查/工具/golangcilint.md"}');export{e as data}; diff --git a/assets/golangcilint.html-5390ac76.js b/assets/golangcilint.html-5390ac76.js new file mode 100644 index 000000000..b08de9a9f --- /dev/null +++ b/assets/golangcilint.html-5390ac76.js @@ -0,0 +1,4 @@ +import{_ as a,a as l}from"./golangcilintversion-56b74bb6.js";import{_ as o,r as t,o as r,c as s,a as i,b as e,d,e as c}from"./app-2a91d8ab.js";const p={},g={id:"golangcilint-使用手册",tabindex:"-1"},u=i("a",{class:"header-anchor",href:"#golangcilint-使用手册","aria-hidden":"true"},"#",-1),h={href:"https://github.com/golangci/golangci-lint",target:"_blank",rel:"noopener noreferrer"},m=c('

    对比 GoMetaLinter

    Golangci-lint 是为了解决 GoMetalinter 的弊端而改版升级的。

    1. 比 GoMetaliner 快个 2 到 7 倍

    2. 共享代码缓存,消耗内存比 Gometaliner 少 26%

    3. 更精准的 issue,会内置一些 exclude 列表过滤掉误报 issue

    4. 支持增量分析

    快速接入

    1. 在 CI 系统上选用 TCA 插件,或者下载 TCA 客户端到本地机器上

    2. 因为 GolangCiLint 要求找寻到项目需要的全部依赖,否则就会执行失败。所以这里需要在 Ci 系统或者本地机器上配置好项目的依赖,并确保能够编译通过

    3. 检查是否设置了 GOPATH 和 GOROOT,在分析方案的环境变量中设置 GOPATH=$GOPATH

    4. 在 代码分析 页面上关联待分析的代码库并创建分析方案,并在代码检查-规则设置的自定义规则包里面添加 GolangCiLint 工具规则

    5. 在分析方案中增加编译命令

    6. 然后在 CI 系统上或者本地启动代码分析即可

    高级配置

    Include

    若项目目录结构如下图,需要设置 include 执行 myproj,比如 src/myproj/*

    这是因为 GolangCiLint 分析前会优先检查所有代码文件的依赖是否齐全,所以需要设置 include,让工具只关注 include 下面的代码文件的依赖。

    在分析方案的过滤配置,路径过滤中添加 include 路径。

    include

    Q&A

    • Q:出现 no go files to analyze 问题

      A:这里可能为以下原因:

      1. 机器环境没有项目的完整依赖,使用以下命令查找对应依赖在 GOPATH 下是否存在或者 GOPATH 设置是否完整(有的项目有多个 GOPATH 内容),或者对应依赖是否存在,需要用户部署好机器环境

        grep -nr "path/to/GOPATH" .
        +
      2. 没有指定 include 分析路径过滤,这样才不会检查依赖中的依赖,而是关注源码文件的依赖完整性

      3. 也可能是某 go 文件中使用到该依赖,但是 GOPATH 没有设置正确的依赖搜索路径导致。需要找到依赖相对的当前目录:

        grep -nr "path/to/GOPATH" .
        +

        然后设置到 GOPATH 中,比如

        GOPATH=$GOPATH:$SOURCE_DIR/test
        +
      4. 还有可能是部分依赖是需要编译之后生成的,需要正确填写好编译命令,使得项目编译成功。

    • Q:could not determine GOARCH and Go compiler 问题

      A:跟问题 1 是一样的问题。解决方案也是一样。

    • Q:failed to run 'go env': exit status 1 问题

      A:原因是找不到正确的 GOPATH。解决方案是设置 GOPATH 环境变量。

    • Q:GO 版本限制

      A:因为 golangci-lint 用到了 go mod 特性,该特性是在 1.11 之后才有的。所以要求 go 版本在 1.11 版本以上。

      go版本限制

    ',13);function A(_,G){const n=t("ExternalLinkIcon");return r(),s("div",null,[i("h1",g,[u,e(),i("a",h,[e("Golangcilint"),d(n)]),e(" 使用手册")]),m])}const O=o(p,[["render",A],["__file","golangcilint.html.vue"]]);export{O as default}; diff --git a/assets/golangcilint.html-5b7c9aa6.js b/assets/golangcilint.html-5b7c9aa6.js new file mode 100644 index 000000000..b08de9a9f --- /dev/null +++ b/assets/golangcilint.html-5b7c9aa6.js @@ -0,0 +1,4 @@ +import{_ as a,a as l}from"./golangcilintversion-56b74bb6.js";import{_ as o,r as t,o as r,c as s,a as i,b as e,d,e as c}from"./app-2a91d8ab.js";const p={},g={id:"golangcilint-使用手册",tabindex:"-1"},u=i("a",{class:"header-anchor",href:"#golangcilint-使用手册","aria-hidden":"true"},"#",-1),h={href:"https://github.com/golangci/golangci-lint",target:"_blank",rel:"noopener noreferrer"},m=c('

    对比 GoMetaLinter

    Golangci-lint 是为了解决 GoMetalinter 的弊端而改版升级的。

    1. 比 GoMetaliner 快个 2 到 7 倍

    2. 共享代码缓存,消耗内存比 Gometaliner 少 26%

    3. 更精准的 issue,会内置一些 exclude 列表过滤掉误报 issue

    4. 支持增量分析

    快速接入

    1. 在 CI 系统上选用 TCA 插件,或者下载 TCA 客户端到本地机器上

    2. 因为 GolangCiLint 要求找寻到项目需要的全部依赖,否则就会执行失败。所以这里需要在 Ci 系统或者本地机器上配置好项目的依赖,并确保能够编译通过

    3. 检查是否设置了 GOPATH 和 GOROOT,在分析方案的环境变量中设置 GOPATH=$GOPATH

    4. 在 代码分析 页面上关联待分析的代码库并创建分析方案,并在代码检查-规则设置的自定义规则包里面添加 GolangCiLint 工具规则

    5. 在分析方案中增加编译命令

    6. 然后在 CI 系统上或者本地启动代码分析即可

    高级配置

    Include

    若项目目录结构如下图,需要设置 include 执行 myproj,比如 src/myproj/*

    这是因为 GolangCiLint 分析前会优先检查所有代码文件的依赖是否齐全,所以需要设置 include,让工具只关注 include 下面的代码文件的依赖。

    在分析方案的过滤配置,路径过滤中添加 include 路径。

    include

    Q&A

    • Q:出现 no go files to analyze 问题

      A:这里可能为以下原因:

      1. 机器环境没有项目的完整依赖,使用以下命令查找对应依赖在 GOPATH 下是否存在或者 GOPATH 设置是否完整(有的项目有多个 GOPATH 内容),或者对应依赖是否存在,需要用户部署好机器环境

        grep -nr "path/to/GOPATH" .
        +
      2. 没有指定 include 分析路径过滤,这样才不会检查依赖中的依赖,而是关注源码文件的依赖完整性

      3. 也可能是某 go 文件中使用到该依赖,但是 GOPATH 没有设置正确的依赖搜索路径导致。需要找到依赖相对的当前目录:

        grep -nr "path/to/GOPATH" .
        +

        然后设置到 GOPATH 中,比如

        GOPATH=$GOPATH:$SOURCE_DIR/test
        +
      4. 还有可能是部分依赖是需要编译之后生成的,需要正确填写好编译命令,使得项目编译成功。

    • Q:could not determine GOARCH and Go compiler 问题

      A:跟问题 1 是一样的问题。解决方案也是一样。

    • Q:failed to run 'go env': exit status 1 问题

      A:原因是找不到正确的 GOPATH。解决方案是设置 GOPATH 环境变量。

    • Q:GO 版本限制

      A:因为 golangci-lint 用到了 go mod 特性,该特性是在 1.11 之后才有的。所以要求 go 版本在 1.11 版本以上。

      go版本限制

    ',13);function A(_,G){const n=t("ExternalLinkIcon");return r(),s("div",null,[i("h1",g,[u,e(),i("a",h,[e("Golangcilint"),d(n)]),e(" 使用手册")]),m])}const O=o(p,[["render",A],["__file","golangcilint.html.vue"]]);export{O as default}; diff --git a/assets/golangcilint.html-70bf0a39.js b/assets/golangcilint.html-70bf0a39.js new file mode 100644 index 000000000..462b66f2f --- /dev/null +++ b/assets/golangcilint.html-70bf0a39.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-77e2c75c","path":"/zh/guide/%E4%BB%A3%E7%A0%81%E6%A3%80%E6%9F%A5/%E5%B7%A5%E5%85%B7/golangcilint.html","title":"Golangcilint 使用手册","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"对比 GoMetaLinter","slug":"对比-gometalinter","link":"#对比-gometalinter","children":[]},{"level":2,"title":"快速接入","slug":"快速接入","link":"#快速接入","children":[]},{"level":2,"title":"高级配置","slug":"高级配置","link":"#高级配置","children":[{"level":3,"title":"Include","slug":"include","link":"#include","children":[]}]},{"level":2,"title":"Q&A","slug":"q-a","link":"#q-a","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/guide/代码检查/工具/golangcilint.md"}');export{l as data}; diff --git a/assets/golangcilintversion-56b74bb6.js b/assets/golangcilintversion-56b74bb6.js new file mode 100644 index 000000000..a34969a64 --- /dev/null +++ b/assets/golangcilintversion-56b74bb6.js @@ -0,0 +1 @@ +const s="/CodeAnalysis/assets/golangcilint-e31f929a.jpg",a="/CodeAnalysis/assets/golangcilintversion-afbdeff6.jpg";export{s as _,a}; diff --git a/assets/golangcilintversion-afbdeff6.jpg b/assets/golangcilintversion-afbdeff6.jpg 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e=JSON.parse('{"key":"v-53f9ca7d","path":"/zh/api/","title":"接口调用说明","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"接口地址","slug":"接口地址","link":"#接口地址","children":[]},{"level":2,"title":"接口鉴权方式","slug":"接口鉴权方式","link":"#接口鉴权方式","children":[]},{"level":2,"title":"获取 org_sid 和 project_team 信息","slug":"获取-org-sid-和-project-team-信息","link":"#获取-org-sid-和-project-team-信息","children":[]},{"level":2,"title":"Example","slug":"example","link":"#example","children":[]},{"level":2,"title":"分页方式","slug":"分页方式","link":"#分页方式","children":[]},{"level":2,"title":"响应格式","slug":"响应格式","link":"#响应格式","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/api/README.md"}');export{e as data}; diff --git a/assets/index.html-3ed6ee07.js b/assets/index.html-3ed6ee07.js new file mode 100644 index 000000000..2fb42047c --- /dev/null +++ b/assets/index.html-3ed6ee07.js @@ -0,0 +1 @@ +const t=JSON.parse('{"key":"v-47cae8b3","path":"/zh/quickStarted/","title":"腾讯云代码分析介绍","lang":"zh-CN","frontmatter":{},"headers":[],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/quickStarted/README.md"}');export{t as data}; diff --git a/assets/index.html-3ffc2657.js b/assets/index.html-3ffc2657.js new file mode 100644 index 000000000..f9b125f78 --- /dev/null +++ b/assets/index.html-3ffc2657.js @@ -0,0 +1 @@ +import{_ as o,r,o as a,c,a as e,b as t,d as s}from"./app-2a91d8ab.js";const i={},d=e("h3",{id:"repo-mirror",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#repo-mirror","aria-hidden":"true"},"#"),t(" Repo Mirror")],-1),_={href:"https://git.code.tencent.com/Tencent_Open_Source/CodeAnalysis.git",target:"_blank",rel:"noopener noreferrer"},h=e("h3",{id:"wechat-group",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#wechat-group","aria-hidden":"true"},"#"),t(" WeChat Group")],-1),l=e("p",null,[e("img",{src:"https://tencent.github.io/CodeAnalysis/media/WechatQRCode.png",alt:"微信群"})],-1);function p(u,m){const n=r("ExternalLinkIcon");return a(),c("div",null,[d,e("p",null,[e("a",_,[t("https://git.code.tencent.com/Tencent_Open_Source/CodeAnalysis.git"),s(n)])]),h,l])}const g=o(i,[["render",p],["__file","index.html.vue"]]);export{g as default}; diff --git a/assets/index.html-50f0e95e.js b/assets/index.html-50f0e95e.js new file mode 100644 index 000000000..6074dd7aa --- /dev/null +++ b/assets/index.html-50f0e95e.js @@ -0,0 +1 @@ +import{_ as e,o as c,c as t,f as n}from"./app-2a91d8ab.js";const o={};function r(_,a){return c(),t("div",null,[n(" 未使用,直接使用的是doc目录下的README.md ")])}const d=e(o,[["render",r],["__file","index.html.vue"]]);export{d as default}; diff --git a/assets/index.html-5c984d6d.js b/assets/index.html-5c984d6d.js new file mode 100644 index 000000000..5c3bb6e36 --- /dev/null +++ b/assets/index.html-5c984d6d.js @@ -0,0 +1 @@ +import{_ as e,o as a,c as r,e as d}from"./app-2a91d8ab.js";const h={},n=d('

    腾讯云代码分析

    腾讯云代码分析Tencent Cloud Code Analysis, TCA)起步于 2012 年(内部代号CodeDog),是集众多代码分析工具的云原生、分布式、高性能的代码综合分析跟踪管理平台,其主要功能是精准跟踪管理代码分析发现的代码质量缺陷、代码规范、代码安全漏洞、无效代码,以及度量代码复杂度、重复代码、代码统计。持续跟踪分析代码,观测项目代码质量,支撑团队传承代码文化。

    用心关注每行代码迭代,助力传承卓越代码文化!

    代码分析是通过词法分析、语法分析、控制流、数据流分析等技术对程序代码进行扫描,对代码进行综合分析,验证代码是否满足规范性、安全性、可靠性、可维护性等指标的一种代码分析技术。

    主要功能

    代码检查

    通过代码检查精准跟踪管理发现的代码质量缺陷、代码规范、代码安全漏洞、无效代码等。

    目前已集成众多自研、知名开源分析工具,并采用了分层分离架构,可以满足团队快速自助管理工具。

    代码度量

    包含代码圈复杂度、代码重复率和代码统计等度量信息。

    代码圈复杂度

    圈复杂度也称为条件复杂度或循环复杂度,它可以用来衡量一个模块判定结构的复杂程度。圈复杂度大说明程序代码的判断逻辑复杂,可能造成代码质量低下且难于测试和维护。

    定期分析工程项目中代码的圈复杂度,可以有效地帮助开发与测试逐步优化代码质量。

    代码重复率

    定期分析工程项目中的重复代码,可以有效地帮助开发发现冗余代码,进行代码抽象和重构,降低代码风险,以便于更好的管理和维护代码。

    代码统计

    支持全量增量展示代码行数统计,包含代码行、注释行和空白行,可以有效地跟踪了解工程项目中代码量持续变化,并可以查看各个语言的占比情况。

    ',17),t=[n];function i(s,o){return a(),r("div",null,t)}const p=e(h,[["render",i],["__file","index.html.vue"]]);export{p as default}; diff --git a/assets/index.html-8632c13c.js b/assets/index.html-8632c13c.js new file mode 100644 index 000000000..12d12a83d --- /dev/null +++ b/assets/index.html-8632c13c.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-075401e2","path":"/en/api/","title":"接口调用说明","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"接口地址","slug":"接口地址","link":"#接口地址","children":[]},{"level":2,"title":"接口鉴权方式","slug":"接口鉴权方式","link":"#接口鉴权方式","children":[]},{"level":2,"title":"获取 org_sid 和 project_team 信息","slug":"获取-org-sid-和-project-team-信息","link":"#获取-org-sid-和-project-team-信息","children":[]},{"level":2,"title":"Example","slug":"example","link":"#example","children":[]},{"level":2,"title":"分页方式","slug":"分页方式","link":"#分页方式","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/api/README.md"}');export{e as data}; diff --git a/assets/index.html-892823d8.js b/assets/index.html-892823d8.js new file mode 100644 index 000000000..ec13f2c44 --- /dev/null +++ b/assets/index.html-892823d8.js @@ -0,0 +1,87 @@ +import{_ as e}from"./API的个人令牌-d33dd7b6.js";import{_ as n,o as i,c as t,e as u}from"./app-2a91d8ab.js";const s={},o=u(`

    接口调用说明

    接口地址

    http://{host}/server/

    注:host 指当前浏览器访问该文档的 URL 域名部分。

    接口鉴权方式

    发起请求时,需要在头部中添加以下格式形式,对应的 value 请看下面获取方式

    {
    +  "Authorization": "Token 当前user的token"
    +}
    +

    获取 token 位置(个人中心-个人令牌):

    API的个人令牌

    获取 org_sid 和 project_team 信息

    通过平台访问具体代码库扫描情况时,可从 URL 中获取对应 org_sid 和 project_team 字段,查看方式如下例子:

    代码库扫描地址:http://{host}/t/xxx/p/yyy/code-analysis/repos/1/projects?limit=10&offset=0

    其中,org_sid 为xxx字段,project_team 为 yyy字段

    Example

    import requests
    +# 假设:
    +# 当前域名为http://tca.com/,当前org_sid为helloworld
    +# 获取helloworld团队下的hellotca项目下登记的代码库
    +url="http://tca.com/server/main/api/orgs/helloworld/teams/hellotca/repos/?limit=12&offset=0"
    +headers = {
    +  "Authorization": "Token %s" % token,
    +}
    +
    +response = requests.get(url, headers=headers)
    +print(response.json())
    +# 结果如下:
    +{
    +    "data": {
    +        "count": 1,
    +        "next": null,
    +        "previous": null,
    +        "results": [
    +            {
    +                "id": 23,
    +                "name": "repo_name",
    +                "scm_url": "http://git.repo.com/group/repo_name",
    +                "scm_type": "git",
    +                "branch_count": 1,
    +                "scheme_count": 1,
    +                "job_count": 1,
    +                "created_time": "2021-05-14 02:34:44.509118+00:00",
    +                "recent_active": {
    +                    "id": 27,
    +                    "branch_name": "master",
    +                    "active_time": "2021-05-14 02:34:44.509118+00:00",
    +                    "total_line_num": 1,
    +                    "code_line_num": 1
    +                },
    +                "created_from": "tca",
    +                "creator": {
    +                    "username": "author",
    +                    "nickname": "author",
    +                    "status": 1,
    +                    "avatar": "url",
    +                    "org": "org_name"
    +                },
    +                "symbol": null,
    +                "scm_auth": {
    +                    "id": 1,
    +                    "scm_account": null,
    +                    "scm_oauth": null,
    +                    "scm_ssh": {
    +                        "id": 1,
    +                        "name": "test",
    +                        "scm_platform": 2,
    +                        "scm_platform_desc": null,
    +                        "user": {
    +                            "username": "username",
    +                            "nickname": "nickname",
    +                            "status": 1,
    +                            "avatar": "url",
    +                            "org": "org_name"
    +                        }
    +                    },
    +                    "auth_type": "ssh_token",
    +                    "created_time": "2021-05-14T10:34:44.552859+08:00",
    +                    "modified_time": "2021-05-14T10:34:44.552887+08:00"
    +                },
    +                "project_team": {
    +                    "name": "test",
    +                    "display_name": "测试",
    +                    "status": 1,
    +                    "org_sid": "test"
    +                }
    +            }
    +        ]
    +    },
    +    "code": 0,
    +    "msg": "请求成功",
    +    "status_code": 200
    +}
    +

    分页方式

    平台返回的数据分页格式是使用limitoffset参数进行分页处理

    比如:server/main/api/orgs/<org_sid>/teams/?limit=12&offset=12获取得到的数据是从第 13 条开始获取

    响应格式

    平台返回的响应格式如下:

    {
    +    "data": {...},      # 详细数据
    +    "code": 0,          # 请求结果码,为0表示正常
    +    "msg": "xxx" ,      # 请求结果信息
    +    "status_code": 200  # 请求响应码
    +}
    +
    `,21),d=[o];function a(l,r){return i(),t("div",null,d)}const q=n(s,[["render",a],["__file","index.html.vue"]]);export{q as default}; diff --git a/assets/index.html-91ce084b.js b/assets/index.html-91ce084b.js new file mode 100644 index 000000000..36f37dd3e --- /dev/null +++ b/assets/index.html-91ce084b.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-47357bdb","path":"/zh/guide/","title":"腾讯云代码分析","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"主要功能","slug":"主要功能","link":"#主要功能","children":[{"level":3,"title":"代码检查","slug":"代码检查","link":"#代码检查","children":[]},{"level":3,"title":"代码度量","slug":"代码度量","link":"#代码度量","children":[]},{"level":3,"title":"代码圈复杂度","slug":"代码圈复杂度","link":"#代码圈复杂度","children":[]},{"level":3,"title":"代码重复率","slug":"代码重复率","link":"#代码重复率","children":[]},{"level":3,"title":"代码统计","slug":"代码统计","link":"#代码统计","children":[]}]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/guide/README.md"}');export{l as data}; diff --git a/assets/index.html-929379d0.js b/assets/index.html-929379d0.js new file mode 100644 index 000000000..5c3bb6e36 --- /dev/null +++ b/assets/index.html-929379d0.js @@ -0,0 +1 @@ +import{_ as e,o as a,c as r,e as d}from"./app-2a91d8ab.js";const h={},n=d('

    腾讯云代码分析

    腾讯云代码分析Tencent Cloud Code Analysis, TCA)起步于 2012 年(内部代号CodeDog),是集众多代码分析工具的云原生、分布式、高性能的代码综合分析跟踪管理平台,其主要功能是精准跟踪管理代码分析发现的代码质量缺陷、代码规范、代码安全漏洞、无效代码,以及度量代码复杂度、重复代码、代码统计。持续跟踪分析代码,观测项目代码质量,支撑团队传承代码文化。

    用心关注每行代码迭代,助力传承卓越代码文化!

    代码分析是通过词法分析、语法分析、控制流、数据流分析等技术对程序代码进行扫描,对代码进行综合分析,验证代码是否满足规范性、安全性、可靠性、可维护性等指标的一种代码分析技术。

    主要功能

    代码检查

    通过代码检查精准跟踪管理发现的代码质量缺陷、代码规范、代码安全漏洞、无效代码等。

    目前已集成众多自研、知名开源分析工具,并采用了分层分离架构,可以满足团队快速自助管理工具。

    代码度量

    包含代码圈复杂度、代码重复率和代码统计等度量信息。

    代码圈复杂度

    圈复杂度也称为条件复杂度或循环复杂度,它可以用来衡量一个模块判定结构的复杂程度。圈复杂度大说明程序代码的判断逻辑复杂,可能造成代码质量低下且难于测试和维护。

    定期分析工程项目中代码的圈复杂度,可以有效地帮助开发与测试逐步优化代码质量。

    代码重复率

    定期分析工程项目中的重复代码,可以有效地帮助开发发现冗余代码,进行代码抽象和重构,降低代码风险,以便于更好的管理和维护代码。

    代码统计

    支持全量增量展示代码行数统计,包含代码行、注释行和空白行,可以有效地跟踪了解工程项目中代码量持续变化,并可以查看各个语言的占比情况。

    ',17),t=[n];function i(s,o){return a(),r("div",null,t)}const p=e(h,[["render",i],["__file","index.html.vue"]]);export{p as default}; diff --git a/assets/index.html-984e57d5.js b/assets/index.html-984e57d5.js new file mode 100644 index 000000000..668f749ac --- /dev/null +++ b/assets/index.html-984e57d5.js @@ -0,0 +1 @@ +import{_ as a,r as i,o as l,c as r,a as t,b as e,d as n,w as s,e as c}from"./app-2a91d8ab.js";const d={},u=c('

    Tencent Cloud Code Analysis

    Tencent Cloud Code Analysis (TCA for short, code-named CodeDog inside the company early) is a comprehensive platform for code analysis and issue tracking. TCA consist of three components, server, web and client. It integrates of a number of self-developed tools, and also supports dynamic integration of code analysis tools in various programming languages.

    Code analysis is a technology, using lexical analysis, syntax analysis, control-flow analysis, data-flow analysis to make a comprehensive analysis of the code, so as to verify whether the code meets the requirements of normative, security, reliability, maintainability and other indicators.

    Using TCA can help team find normative, structural, security vulnerabilities and other issues in the code, continuously monitor the quality of the project code and issue alerts. At the same time, TCA opens up APIs to support connection with upstream and downstream systems, so as to integrate code analysis capabilities, ensure code quality, and be more conducive to inheriting an excellent team code culture.

    组件图

    流程图


    ',7),p=t("p",null,"If you have more environmental requirements, you can also deploy Tencent Cloud Code Analysis Platform in the following two ways:",-1);function h(m,y){const o=i("RouterLink");return l(),r("div",null,[u,t("p",null,[e("For the first experience, it is recommended that you use the "),n(o,{to:"/en/quickStarted/dockerDeploy.html"},{default:s(()=>[e("Docker deployment")]),_:1}),e(" to quickly build and experience the Tencent Cloud code analysis platform for the first experience.")]),p,t("ul",null,[t("li",null,[t("p",null,[e("Deploy through "),n(o,{to:"/en/quickStarted/dockercomposeDeploy.html"},{default:s(()=>[e("Docker-Compose")]),_:1})])]),t("li",null,[t("p",null,[e("Deploy through "),n(o,{to:"/en/quickStarted/codeDeploy.html"},{default:s(()=>[e("source code")]),_:1})])])])])}const g=a(d,[["render",h],["__file","index.html.vue"]]);export{g as default}; diff --git a/assets/index.html-9be1469b.js b/assets/index.html-9be1469b.js new file mode 100644 index 000000000..b66410f1f --- /dev/null +++ b/assets/index.html-9be1469b.js @@ -0,0 +1 @@ +const t=JSON.parse('{"key":"v-2d0ad528","path":"/zh/","title":"","lang":"zh-CN","frontmatter":{},"headers":[],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/README.md"}');export{t as data}; diff --git a/assets/index.html-b5f8ac0e.js b/assets/index.html-b5f8ac0e.js new file mode 100644 index 000000000..da0aeacc1 --- /dev/null +++ b/assets/index.html-b5f8ac0e.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-e6412400","path":"/en/guide/","title":"腾讯云代码分析","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"主要功能","slug":"主要功能","link":"#主要功能","children":[{"level":3,"title":"代码检查","slug":"代码检查","link":"#代码检查","children":[]},{"level":3,"title":"代码度量","slug":"代码度量","link":"#代码度量","children":[]},{"level":3,"title":"代码圈复杂度","slug":"代码圈复杂度","link":"#代码圈复杂度","children":[]},{"level":3,"title":"代码重复率","slug":"代码重复率","link":"#代码重复率","children":[]},{"level":3,"title":"代码统计","slug":"代码统计","link":"#代码统计","children":[]}]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/guide/README.md"}');export{e as data}; diff --git a/assets/index.html-b85696fd.js b/assets/index.html-b85696fd.js new file mode 100644 index 000000000..48986a70b --- /dev/null +++ b/assets/index.html-b85696fd.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-8daa1a0e","path":"/","title":"腾讯云代码分析文档","lang":"zh-CN","frontmatter":{"home":true,"title":"腾讯云代码分析文档","heroImage":"/images/Logo.svg","actions":[{"text":"快速部署","link":"/zh/quickStarted/","type":"primary"},{"text":"帮助文档","link":"/zh/guide/","type":"secondary"}],"features":[{"title":"稳定可靠的架构","details":"支持分布式云原生计算架构,支持灵活扩缩容,执行更快更稳定。"},{"title":"多工具支持","details":"已集成众多自研、知名开源工具等,采用分层分离架构,支持团队快速自助管理工具。"},{"title":"多语言覆盖","details":"支持 Java/C++/Objective-C/C#/JavaScript/Python/Go/PHP 等数29种语言,覆盖常用编程语言。"},{"title":"增量全量分析","details":"增量分析快速发现问题,全量分析保证问题全覆盖。"},{"title":"自定义指标","details":"自定义代码标准,逐步优化代码。"},{"title":"全方位质量报告","details":"图形化可视报告,轻松监管代码综合质量趋势。"},{"title":"持续跟踪管理问题","details":"持续跟踪问题状态,支持主动标记处理问题、过滤问题。"},{"title":"标准化 API 接口","details":"提供标准化 API 接口,支持快速对接 DevOps 平台。"},{"title":"分布式客户端","details":"支持分布式客户端,包含 Linux、Mac、Windows,满足用户本地高频分析场景。"}],"footer":"MIT Licensed | Copyright © 1998-present Tencent. All Rights Reserved."},"headers":[{"level":3,"title":"腾讯工蜂代码库镜像库","slug":"腾讯工蜂代码库镜像库","link":"#腾讯工蜂代码库镜像库","children":[]},{"level":3,"title":"金牌🏅️服务微信群","slug":"金牌🏅️服务微信群","link":"#金牌🏅️服务微信群","children":[]},{"level":3,"title":"团队成员","slug":"团队成员","link":"#团队成员","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"README.md"}');export{e as data}; diff --git a/assets/index.html-bc147f42.js b/assets/index.html-bc147f42.js new file mode 100644 index 000000000..d422e2854 --- /dev/null +++ b/assets/index.html-bc147f42.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-3c0f9a24","path":"/en/quickStarted/","title":"Tencent Cloud Code Analysis","lang":"en-US","frontmatter":{},"headers":[],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/quickStarted/README.md"}');export{e as data}; diff --git a/assets/index.html-d13f5268.js b/assets/index.html-d13f5268.js new file mode 100644 index 000000000..553294920 --- /dev/null +++ b/assets/index.html-d13f5268.js @@ -0,0 +1 @@ +import{_ as a,r as o,o as r,c,a as e,b as t,d as s,e as i}from"./app-2a91d8ab.js";const d={},h=e("h3",{id:"腾讯工蜂代码库镜像库",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#腾讯工蜂代码库镜像库","aria-hidden":"true"},"#"),t(" 腾讯工蜂代码库镜像库")],-1),l={href:"https://git.code.tencent.com/Tencent_Open_Source/CodeAnalysis.git",target:"_blank",rel:"noopener noreferrer"},_=i('

    金牌🏅️服务微信群

    微信群

    团队成员

    团队成员

    ',4);function p(m,u){const n=o("ExternalLinkIcon");return r(),c("div",null,[h,e("p",null,[e("a",l,[t("https://git.code.tencent.com/Tencent_Open_Source/CodeAnalysis.git"),s(n)])]),_])}const g=a(d,[["render",p],["__file","index.html.vue"]]);export{g as default}; diff --git a/assets/index.html-d386891c.js b/assets/index.html-d386891c.js new file mode 100644 index 000000000..25c0a2618 --- /dev/null +++ b/assets/index.html-d386891c.js @@ -0,0 +1,81 @@ +import{_ as e}from"./API的个人令牌-d33dd7b6.js";import{_ as n,o as i,c as t,e as u}from"./app-2a91d8ab.js";const o={},s=u(`

    接口调用说明

    接口地址

    http://{host}/server/

    注:host 指当前浏览器访问该文档的 URL 域名部分。

    接口鉴权方式

    发起请求时,需要在头部中添加以下格式形式,对应的 value 请看下面获取方式

    {
    +  "Authorization": "当前user的token"
    +}
    +

    获取 token 位置(个人中心-个人令牌):

    API的个人令牌

    获取 org_sid 和 project_team 信息

    通过平台访问具体代码库扫描情况时,可从 URL 中获取对应 org_sid 和 project_team 字段,查看方式如下例子:

    代码库扫描地址:http://{host}/t/xxx/p/yyy/code-analysis/repos/1/projects?limit=10&offset=0

    其中,org_sid 为xxx字段,project_team 为 yyy字段

    Example

    import requests
    +# 假设:
    +# 当前域名为http://tca.com/,当前org_sid为helloworld
    +# 获取helloworld团队下的hellotca项目下登记的代码库
    +url="http://tca.com/server/main/api/orgs/helloworld/teams/hellotca/repos/?limit=12&offset=0"
    +headers = {
    +  "Authorization": token,
    +}
    +
    +response = requests.get(url, headers=headers)
    +print(response.json())
    +# 结果如下:
    +{
    +    "data": {
    +        "count": 1,
    +        "next": null,
    +        "previous": null,
    +        "results": [
    +            {
    +                "id": 23,
    +                "name": "repo_name",
    +                "scm_url": "http://git.repo.com/group/repo_name",
    +                "scm_type": "git",
    +                "branch_count": 1,
    +                "scheme_count": 1,
    +                "job_count": 1,
    +                "created_time": "2021-05-14 02:34:44.509118+00:00",
    +                "recent_active": {
    +                    "id": 27,
    +                    "branch_name": "master",
    +                    "active_time": "2021-05-14 02:34:44.509118+00:00",
    +                    "total_line_num": 1,
    +                    "code_line_num": 1
    +                },
    +                "created_from": "tca",
    +                "creator": {
    +                    "username": "author",
    +                    "nickname": "author",
    +                    "status": 1,
    +                    "avatar": "url",
    +                    "org": "org_name"
    +                },
    +                "symbol": null,
    +                "scm_auth": {
    +                    "id": 1,
    +                    "scm_account": null,
    +                    "scm_oauth": null,
    +                    "scm_ssh": {
    +                        "id": 1,
    +                        "name": "test",
    +                        "scm_platform": 2,
    +                        "scm_platform_desc": null,
    +                        "user": {
    +                            "username": "username",
    +                            "nickname": "nickname",
    +                            "status": 1,
    +                            "avatar": "url",
    +                            "org": "org_name"
    +                        }
    +                    },
    +                    "auth_type": "ssh_token",
    +                    "created_time": "2021-05-14T10:34:44.552859+08:00",
    +                    "modified_time": "2021-05-14T10:34:44.552887+08:00"
    +                },
    +                "project_team": {
    +                    "name": "test",
    +                    "display_name": "测试",
    +                    "status": 1,
    +                    "org_sid": "test"
    +                }
    +            }
    +        ]
    +    },
    +    "code": 0,
    +    "msg": "请求成功",
    +    "status_code": 200
    +}
    +

    分页方式

    平台返回的数据分页格式是使用limitoffset参数进行分页处理

    比如:server/main/api/orgs/<org_sid>/teams/?limit=12&offset=12获取得到的数据是从第 13 条开始获取

    `,18),d=[s];function a(l,r){return i(),t("div",null,d)}const q=n(o,[["render",a],["__file","index.html.vue"]]);export{q as default}; diff --git a/assets/index.html-eaba2094.js b/assets/index.html-eaba2094.js new file mode 100644 index 000000000..db82ffd38 --- /dev/null +++ b/assets/index.html-eaba2094.js @@ -0,0 +1 @@ +import{_ as c,r as s,o as l,c as i,a as t,b as e,d as o,w as r,e as d}from"./app-2a91d8ab.js";const p={},h=d('

    腾讯云代码分析介绍

    腾讯云代码分析(Tencent Cloud Code Analysis,简称TCA,内部曾用研发代号 CodeDog )是集众多分析工具的云原生、分布式、高性能的代码综合分析跟踪平台,包含服务端、Web端、客户端三个组件,已集成一批自研工具,同时也支持动态集成业界各编程语言的分析工具。

    代码分析是通过词法分析、语法分析、控制流、数据流分析等技术对程序代码进行扫描,对代码进行综合分析,验证代码是否满足规范性、安全性、可靠性、可维护性等指标的一种代码分析技术。

    使用TCA可以帮助团队用代码分析技术查找代码中的规范性、结构性、安全漏洞等问题,持续监控项目代码质量并进行告警。同时TCA开放API,支持与上下游系统对接,从而集成代码分析能力,为代码质量提供保障,更有益于传承优良的团队代码文化。

    组件图

    流程图


    ',7),_={href:"https://github.com/Tencent/CodeAnalysis",target:"_blank",rel:"noopener noreferrer"},u=t("p",null,"如您更多环境需求,也可通过以下两种方式部署腾讯云代码分析平台:",-1);function m(g,k){const a=s("ExternalLinkIcon"),n=s("RouterLink");return l(),i("div",null,[h,t("p",null,[e("拉取 TCA "),t("a",_,[e("代码库"),o(a)]),e(" 后,首次体验推荐您使用"),o(n,{to:"/zh/quickStarted/dockerDeploy.html"},{default:r(()=>[e(" Docker 快速部署")]),_:1}),e("方式快速搭建和体验腾讯云代码分析平台。")]),u,t("ul",null,[t("li",null,[o(n,{to:"/zh/quickStarted/dockercomposeDeploy.html"},{default:r(()=>[e("通过 Docker-Compose 部署")]),_:1})]),t("li",null,[o(n,{to:"/zh/quickStarted/codeDeploy.html"},{default:r(()=>[e("通过源代码部署")]),_:1})])])])}const f=c(p,[["render",m],["__file","index.html.vue"]]);export{f as default}; diff --git a/assets/index.html-f6f72dd6.js b/assets/index.html-f6f72dd6.js new file mode 100644 index 000000000..073bb0549 --- /dev/null +++ b/assets/index.html-f6f72dd6.js @@ -0,0 +1 @@ +const e=JSON.parse(`{"key":"v-2d0a870d","path":"/en/","title":"Tencent Cloud Code Analysis Doc","lang":"en-US","frontmatter":{"home":true,"title":"Tencent Cloud Code Analysis Doc","heroImage":"/images/Logo.svg","actions":[{"text":"Quick start","link":"/en/quickStarted/","type":"primary"},{"text":"Guide","link":"/en/guide/","type":"secondary"}],"features":[{"title":"Stable and reliable architecture","details":"Support distributed architecture and cloud native architecture; flexible scaling; run faster with more stability."},{"title":"Multi-tool support","details":"Integrated many self-developed and well-known open-source tools; adopted a layered separation architecture, can meet the needs of the team's rapid self-service management tools."},{"title":"Multi-language support","details":"Support Java/C++/Objective-C/C#/JavaScript/Python/Go/PHP and other 29 languages, cover frequently-used programming languages."},{"title":"Incremental/Full analysis scan","details":"Incremental analysis can quickly locate defects, while a full analysis ensure total coverage of your code."},{"title":"Customize rules","details":"Customize your rules, gradually optimize your code."},{"title":"Full range quality report","details":"Report with graphics, easy to monitor quality trend."},{"title":"Standardized API","details":"Standardized API make a fast docking to DevOps tools."},{"title":"Distributed client","details":"Distributed clients on Linux, Mac and Windows, meet local high-frequency analysis scenario."}],"footer":"MIT Licensed | Copyright © 1998-present Tencent. All Rights Reserved."},"headers":[{"level":3,"title":"Repo Mirror","slug":"repo-mirror","link":"#repo-mirror","children":[]},{"level":3,"title":"WeChat Group","slug":"wechat-group","link":"#wechat-group","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/README.md"}`);export{e as data}; diff --git a/assets/initRepo.html-145021f4.js b/assets/initRepo.html-145021f4.js new file mode 100644 index 000000000..2dfe0c64d --- /dev/null +++ b/assets/initRepo.html-145021f4.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-6108bba4","path":"/zh/quickStarted/initRepo.html","title":"创建代码分析项目","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"进入平台页面","slug":"进入平台页面","link":"#进入平台页面","children":[]},{"level":2,"title":"创建团队及项目","slug":"创建团队及项目","link":"#创建团队及项目","children":[]},{"level":2,"title":"登记代码库","slug":"登记代码库","link":"#登记代码库","children":[]},{"level":2,"title":"创建分析项目","slug":"创建分析项目","link":"#创建分析项目","children":[{"level":3,"title":"分析方案说明","slug":"分析方案说明","link":"#分析方案说明","children":[]}]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/quickStarted/initRepo.md"}');export{e as data}; diff --git a/assets/initRepo.html-439e220f.js b/assets/initRepo.html-439e220f.js new file mode 100644 index 000000000..bd79d5ff7 --- /dev/null +++ b/assets/initRepo.html-439e220f.js @@ -0,0 +1 @@ +import{_ as i,a as r,b as o}from"./planPage-27225805.js";import{_ as s}from"./start_scan_02-3fe00a0e.js";import{_ as n,r as l,o as c,c as d,a as e,b as a,d as h,w as p,e as _}from"./app-2a91d8ab.js";const u={},m=_('

    创建代码分析项目

    成功部署并启动 Server 与 Web 服务后,通过以下步骤创建您的第一个代码分析项目。

    进入平台页面

    在浏览器输入http://部署机器IP/,点击立即体验,完成登录后即可跳转到团队列表页

    提示

    默认平台登录账号/密码:CodeDog/admin

    如部署过程中,已调整默认账号密码,请按照调整后的账号密码进行登录

    创建团队及项目

    • 完成团队创建

    • 完成项目创建

    登记代码库

    登记代码库,输入代码库地址以及凭证信息等,完成代码库登记。

    registerCodeRepo

    创建分析项目

    开始分析

    提示

    1. 用户可选择使用分析方案模板,或创建分析方案的方式,利用方案的分析配置进行代码分析。
    2. 点击确认时,平台会首先创建该代码库的分析方案,然后根据代码库分支、当前分析方案创建分析项目。

    分析方案说明

    ',14),f=e("li",null,[e("p",null,"分析方案是用于对代码库进行分析的一套配置集合。")],-1),E=e("p",null,[e("img",{src:r,alt:"creataAnalysePlan"})],-1),x=e("p",null,[e("img",{src:o,alt:"planPage"})],-1);function b(g,v){const t=l("RouterLink");return c(),d("div",null,[m,e("ul",null,[f,e("li",null,[e("p",null,[a("更多分析方案配置可查阅"),h(t,{to:"/zh/guide/%E5%88%86%E6%9E%90%E6%96%B9%E6%A1%88/%E5%9F%BA%E7%A1%80%E5%B1%9E%E6%80%A7%E9%85%8D%E7%BD%AE.html"},{default:p(()=>[a("帮助文档-分析方案")]),_:1})])])]),E,x])}const k=n(u,[["render",b],["__file","initRepo.html.vue"]]);export{k as default}; diff --git a/assets/initRepo.html-dd029873.js b/assets/initRepo.html-dd029873.js new file mode 100644 index 000000000..005b69e8d --- /dev/null +++ b/assets/initRepo.html-dd029873.js @@ -0,0 +1 @@ +import{_ as i,a as r,b as o}from"./planPage-27225805.js";import{_ as s}from"./start_scan_02-3fe00a0e.js";import{_ as n,r as l,o as c,c as d,a as e,b as a,d as h,w as p,e as _}from"./app-2a91d8ab.js";const u={},m=_('

    创建代码分析项目

    成功部署并启动 Server 与 Web 服务后,通过以下步骤创建您的第一个代码分析项目。

    进入平台页面

    在浏览器输入http://部署机器IP/,点击立即体验,完成登录后即可跳转到团队列表页

    TIP

    默认平台登录账号/密码:CodeDog/admin

    如部署过程中,已调整默认账号密码,请按照调整后的账号密码进行登录

    创建团队及项目

    • 完成团队创建

    • 完成项目创建

    登记代码库

    登记代码库,输入代码库地址以及凭证信息等,完成代码库登记。

    registerCodeRepo

    创建分析项目

    开始分析

    TIP

    1. 用户可选择使用分析方案模板,或创建分析方案的方式,利用方案的分析配置进行代码分析。
    2. 点击确认时,平台会首先创建该代码库的分析方案,然后根据代码库分支、当前分析方案创建分析项目。

    分析方案说明

    ',14),f=e("li",null,[e("p",null,"分析方案是用于对代码库进行分析的一套配置集合。")],-1),E=e("p",null,[e("img",{src:r,alt:"creataAnalysePlan"})],-1),x=e("p",null,[e("img",{src:o,alt:"planPage"})],-1);function b(g,v){const t=l("RouterLink");return c(),d("div",null,[m,e("ul",null,[f,e("li",null,[e("p",null,[a("更多分析方案配置可查阅"),h(t,{to:"/en/guide/%E5%88%86%E6%9E%90%E6%96%B9%E6%A1%88/%E5%9F%BA%E7%A1%80%E5%B1%9E%E6%80%A7%E9%85%8D%E7%BD%AE.html"},{default:p(()=>[a("帮助文档-分析方案")]),_:1})])])]),E,x])}const R=n(u,[["render",b],["__file","initRepo.html.vue"]]);export{R as default}; diff --git a/assets/initRepo.html-dd7f39bb.js b/assets/initRepo.html-dd7f39bb.js new file mode 100644 index 000000000..45c6bcafd --- /dev/null +++ b/assets/initRepo.html-dd7f39bb.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-bb3dad6e","path":"/en/quickStarted/initRepo.html","title":"创建代码分析项目","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"进入平台页面","slug":"进入平台页面","link":"#进入平台页面","children":[]},{"level":2,"title":"创建团队及项目","slug":"创建团队及项目","link":"#创建团队及项目","children":[]},{"level":2,"title":"登记代码库","slug":"登记代码库","link":"#登记代码库","children":[]},{"level":2,"title":"创建分析项目","slug":"创建分析项目","link":"#创建分析项目","children":[{"level":3,"title":"分析方案说明","slug":"分析方案说明","link":"#分析方案说明","children":[]}]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/quickStarted/initRepo.md"}');export{e as data}; diff --git a/assets/install_mysql_on_centos.html-2c216767.js b/assets/install_mysql_on_centos.html-2c216767.js new file mode 100644 index 000000000..44a6d4c24 --- /dev/null +++ b/assets/install_mysql_on_centos.html-2c216767.js @@ -0,0 +1,29 @@ +import{_ as a,r as l,o as r,c as d,a as e,b as s,d as i,e as m}from"./app-2a91d8ab.js";const o={},c=e("h1",{id:"在-centos-安装-mysql",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#在-centos-安装-mysql","aria-hidden":"true"},"#"),s(" 在 CentOS 安装 MySQL")],-1),t=e("h2",{id:"注意",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#注意","aria-hidden":"true"},"#"),s(" 注意")],-1),u={href:"https://cloud.tencent.com/product/cdb",target:"_blank",rel:"noopener noreferrer"},y=m(`

    环境

    CentOS 7.3 版本

    安装 mysql yum源

    wget https://repo.mysql.com//mysql57-community-release-el7-11.noarch.rpm
    +yum localinstall mysql57-community-release-el7-11.noarch.rpm
    +

    安装成功后,查看MySQL版本:

    yum repolist all | grep mysql
    +

    输出结果:

    mysql-cluster-7.5-community/x86_64   MySQL Cluster 7.5 Community    禁用
    +mysql-cluster-7.5-community-source   MySQL Cluster 7.5 Community -  禁用
    +mysql-cluster-7.6-community/x86_64   MySQL Cluster 7.6 Community    禁用
    +mysql-cluster-7.6-community-source   MySQL Cluster 7.6 Community -  禁用
    +!mysql-connectors-community/x86_64   MySQL Connectors Community     启用:    221
    +mysql-connectors-community-source    MySQL Connectors Community - S 禁用
    +!mysql-tools-community/x86_64        MySQL Tools Community          启用:    135
    +mysql-tools-community-source         MySQL Tools Community - Source 禁用
    +mysql-tools-preview/x86_64           MySQL Tools Preview            禁用
    +mysql-tools-preview-source           MySQL Tools Preview - Source   禁用
    +mysql55-community/x86_64             MySQL 5.5 Community Server     禁用
    +mysql55-community-source             MySQL 5.5 Community Server - S 禁用
    +mysql56-community/x86_64             MySQL 5.6 Community Server     禁用
    +mysql56-community-source             MySQL 5.6 Community Server - S 禁用
    +!mysql57-community/x86_64            MySQL 5.7 Community Server     启用:    544
    +mysql57-community-source             MySQL 5.7 Community Server - S 禁用
    +mysql80-community/x86_64             MySQL 8.0 Community Server     禁用
    +mysql80-community-source             MySQL 8.0 Community Server - S 禁用
    +

    安装MySQL

    yum install mysql-community-server
    +

    1.如遇以下报错,可尝试运行yum install mysql-community-server --nogpgcheck安装
    Public key for mysql-community-libs-compat-5.7.37-1.el7.x86_64.rpm is not installed
    Failing package is: mysql-community-libs-compat-5.7.37-1.el7.x86_64 GPG Keys are configured as: file:///etc/pki/rpm-gpg/RPM-GPG-KEY-mysql
    2.如遇以下报错,可执行yum module disable mysql后重试安装
    All matches were filtered out by modular filtering for argument: mysql-community-serve
    Error: Unable to find a match: mysql-community-server

    配置MySQL服务

    安装好的MySQL配置文件路径是/etc/my.cnf,这里可以根据需要调整,比如可以调整:

    • datadir:MySQL存放数据的路径,如果有额外挂载磁盘,可以考虑指向相关路径

    启动MySQL服务

    systemctl start mysqld
    +

    确认MySQL正常启动

    systemctl status mysqld
    +

    查看生成 MySQL root用户临时密码:

    grep 'temporary password' /var/log/mysqld.log
    +

    修改root用户密码

    连接MySQL服务

    $ mysql -uroot -p
    +# 输出上述查询到的临时密码
    +

    修改root用户的密码(下面是改成 Password@2021,这里根据自行需要进行调整):

    ALTER USER 'root'@'localhost' IDENTIFIED BY 'Password@2021';
    +

    参考文档

    `,26),v={href:"https://dev.mysql.com/doc/refman/5.7/en/linux-installation-yum-repo.html",target:"_blank",rel:"noopener noreferrer"};function h(b,p){const n=l("ExternalLinkIcon");return r(),d("div",null,[c,t,e("p",null,[s("本文档仅供参考,不适用于正式环境部署,正式环境建议使用专业的MySQL服务(比如"),e("a",u,[s("腾讯云的MySQL产品"),i(n)]),s(")")]),y,e("ul",null,[e("li",null,[e("a",v,[s("Installing MySQL on Linux Using the MySQL Yum Repository"),i(n)])])])])}const S=a(o,[["render",h],["__file","install_mysql_on_centos.html.vue"]]);export{S as default}; diff --git a/assets/install_mysql_on_centos.html-9000ace5.js b/assets/install_mysql_on_centos.html-9000ace5.js new file mode 100644 index 000000000..1da2521c3 --- /dev/null +++ b/assets/install_mysql_on_centos.html-9000ace5.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-2743edae","path":"/en/advanced/install_mysql_on_centos.html","title":"在 CentOS 安装 MySQL","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"注意","slug":"注意","link":"#注意","children":[]},{"level":2,"title":"环境","slug":"环境","link":"#环境","children":[]},{"level":2,"title":"安装 mysql yum源","slug":"安装-mysql-yum源","link":"#安装-mysql-yum源","children":[]},{"level":2,"title":"安装MySQL","slug":"安装mysql","link":"#安装mysql","children":[]},{"level":2,"title":"配置MySQL服务","slug":"配置mysql服务","link":"#配置mysql服务","children":[]},{"level":2,"title":"启动MySQL服务","slug":"启动mysql服务","link":"#启动mysql服务","children":[{"level":3,"title":"修改root用户密码","slug":"修改root用户密码","link":"#修改root用户密码","children":[]}]},{"level":2,"title":"参考文档","slug":"参考文档","link":"#参考文档","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/advanced/install_mysql_on_centos.md"}');export{l as data}; diff --git a/assets/install_mysql_on_centos.html-a68810ef.js b/assets/install_mysql_on_centos.html-a68810ef.js new file mode 100644 index 000000000..c988f1ce4 --- /dev/null +++ b/assets/install_mysql_on_centos.html-a68810ef.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-d29a371a","path":"/zh/advanced/install_mysql_on_centos.html","title":"在 CentOS 安装 MySQL","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"注意","slug":"注意","link":"#注意","children":[]},{"level":2,"title":"环境","slug":"环境","link":"#环境","children":[]},{"level":2,"title":"安装 mysql yum源","slug":"安装-mysql-yum源","link":"#安装-mysql-yum源","children":[]},{"level":2,"title":"安装MySQL","slug":"安装mysql","link":"#安装mysql","children":[]},{"level":2,"title":"配置MySQL服务","slug":"配置mysql服务","link":"#配置mysql服务","children":[]},{"level":2,"title":"启动MySQL服务","slug":"启动mysql服务","link":"#启动mysql服务","children":[{"level":3,"title":"修改root用户密码","slug":"修改root用户密码","link":"#修改root用户密码","children":[]}]},{"level":2,"title":"参考文档","slug":"参考文档","link":"#参考文档","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/advanced/install_mysql_on_centos.md"}');export{l as data}; diff --git a/assets/install_mysql_on_centos.html-cc6980ef.js b/assets/install_mysql_on_centos.html-cc6980ef.js new file mode 100644 index 000000000..44a6d4c24 --- /dev/null +++ b/assets/install_mysql_on_centos.html-cc6980ef.js @@ -0,0 +1,29 @@ +import{_ as a,r as l,o as r,c as d,a as e,b as s,d as i,e as m}from"./app-2a91d8ab.js";const o={},c=e("h1",{id:"在-centos-安装-mysql",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#在-centos-安装-mysql","aria-hidden":"true"},"#"),s(" 在 CentOS 安装 MySQL")],-1),t=e("h2",{id:"注意",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#注意","aria-hidden":"true"},"#"),s(" 注意")],-1),u={href:"https://cloud.tencent.com/product/cdb",target:"_blank",rel:"noopener noreferrer"},y=m(`

    环境

    CentOS 7.3 版本

    安装 mysql yum源

    wget https://repo.mysql.com//mysql57-community-release-el7-11.noarch.rpm
    +yum localinstall mysql57-community-release-el7-11.noarch.rpm
    +

    安装成功后,查看MySQL版本:

    yum repolist all | grep mysql
    +

    输出结果:

    mysql-cluster-7.5-community/x86_64   MySQL Cluster 7.5 Community    禁用
    +mysql-cluster-7.5-community-source   MySQL Cluster 7.5 Community -  禁用
    +mysql-cluster-7.6-community/x86_64   MySQL Cluster 7.6 Community    禁用
    +mysql-cluster-7.6-community-source   MySQL Cluster 7.6 Community -  禁用
    +!mysql-connectors-community/x86_64   MySQL Connectors Community     启用:    221
    +mysql-connectors-community-source    MySQL Connectors Community - S 禁用
    +!mysql-tools-community/x86_64        MySQL Tools Community          启用:    135
    +mysql-tools-community-source         MySQL Tools Community - Source 禁用
    +mysql-tools-preview/x86_64           MySQL Tools Preview            禁用
    +mysql-tools-preview-source           MySQL Tools Preview - Source   禁用
    +mysql55-community/x86_64             MySQL 5.5 Community Server     禁用
    +mysql55-community-source             MySQL 5.5 Community Server - S 禁用
    +mysql56-community/x86_64             MySQL 5.6 Community Server     禁用
    +mysql56-community-source             MySQL 5.6 Community Server - S 禁用
    +!mysql57-community/x86_64            MySQL 5.7 Community Server     启用:    544
    +mysql57-community-source             MySQL 5.7 Community Server - S 禁用
    +mysql80-community/x86_64             MySQL 8.0 Community Server     禁用
    +mysql80-community-source             MySQL 8.0 Community Server - S 禁用
    +

    安装MySQL

    yum install mysql-community-server
    +

    1.如遇以下报错,可尝试运行yum install mysql-community-server --nogpgcheck安装
    Public key for mysql-community-libs-compat-5.7.37-1.el7.x86_64.rpm is not installed
    Failing package is: mysql-community-libs-compat-5.7.37-1.el7.x86_64 GPG Keys are configured as: file:///etc/pki/rpm-gpg/RPM-GPG-KEY-mysql
    2.如遇以下报错,可执行yum module disable mysql后重试安装
    All matches were filtered out by modular filtering for argument: mysql-community-serve
    Error: Unable to find a match: mysql-community-server

    配置MySQL服务

    安装好的MySQL配置文件路径是/etc/my.cnf,这里可以根据需要调整,比如可以调整:

    • datadir:MySQL存放数据的路径,如果有额外挂载磁盘,可以考虑指向相关路径

    启动MySQL服务

    systemctl start mysqld
    +

    确认MySQL正常启动

    systemctl status mysqld
    +

    查看生成 MySQL root用户临时密码:

    grep 'temporary password' /var/log/mysqld.log
    +

    修改root用户密码

    连接MySQL服务

    $ mysql -uroot -p
    +# 输出上述查询到的临时密码
    +

    修改root用户的密码(下面是改成 Password@2021,这里根据自行需要进行调整):

    ALTER USER 'root'@'localhost' IDENTIFIED BY 'Password@2021';
    +

    参考文档

    `,26),v={href:"https://dev.mysql.com/doc/refman/5.7/en/linux-installation-yum-repo.html",target:"_blank",rel:"noopener noreferrer"};function h(b,p){const n=l("ExternalLinkIcon");return r(),d("div",null,[c,t,e("p",null,[s("本文档仅供参考,不适用于正式环境部署,正式环境建议使用专业的MySQL服务(比如"),e("a",u,[s("腾讯云的MySQL产品"),i(n)]),s(")")]),y,e("ul",null,[e("li",null,[e("a",v,[s("Installing MySQL on Linux Using the MySQL Yum Repository"),i(n)])])])])}const S=a(o,[["render",h],["__file","install_mysql_on_centos.html.vue"]]);export{S as default}; diff --git a/assets/install_nginx_from_source.html-39cfa334.js b/assets/install_nginx_from_source.html-39cfa334.js new file mode 100644 index 000000000..542659e68 --- /dev/null +++ b/assets/install_nginx_from_source.html-39cfa334.js @@ -0,0 +1,71 @@ +import{_ as i,r as s,o as d,c as a,a as n,b as l,d as r,e as c}from"./app-2a91d8ab.js";const v={},u=c(`

    源码安装 Nginx

    运行环境

    1. 基于x86_64的CentOS
    2. 基于aarch64(鲲鹏920)的UOS V20
    3. 基于aarch64(飞腾2000)的TencentOS Server

    环境准备

    安装编译打包需要的工具

    yum -y install gcc zlib-devel pcre-devel bzip2-devel openssl-devel readline-devel
    +

    Ubuntu: apt install gcc libssl-dev zlib1g-dev libpcre3-dev libbz2-dev libreadline-dev

    下载源码

    wget http://nginx.org/download/nginx-1.20.2.tar.gz
    +

    解压安装

    # 解压
    +$ tar zvxf nginx-1.20.2.tar.gz -C /usr/local/src
    +
    +# 进入源码目录
    +$ cd /usr/local/src/nginx-1.20.2
    +
    +# 配置
    +$ ./configure \\
    +--sbin-path=/usr/local/nginx/nginx \\
    +--conf-path=/etc/nginx/nginx.conf \\
    +--pid-path=/run/nginx.pid \\
    +--with-stream \\
    +--with-http_ssl_module --with-http_v2_module --with-http_auth_request_module
    +
    +# 构建nginx
    +$ make -j4
    +$ make install
    +$ make clean
    +
    +# 建立软链
    +$ ln -s /usr/local/nginx/nginx /usr/local/bin/nginx
    +

    添加nginx配置文件

    mkdir /etc/nginx/conf.d/
    +vi /etc/nginx/nginx.conf
    +

    检查nginx.conf配置文件:

    1. 检查pid /run/nginx.pid,如果缺失或被注释则加上,加上位置如下所示:
    2. 检查是否缺失这一行include conf.d/*.conf;,如果缺失则加上,加上位置如下所示:
    # ...省略内容
    +#pid        logs/nginx.pid;  # 默认有的
    +pid         /run/nginx.pid;
    +
    +events {
    +    # ...省略内容
    +}
    +
    +# ...省略内容
    +
    +http {
    +    # ...省略内容
    +    # 
    +    include conf.d/*.conf;    
    +    server {
    +        # ...省略内容
    +    }
    +}
    +
    +

    后续可以将nginx配置文件放置到/etc/nginx/conf.d/目录下

    配置开机自动启动

    vim /usr/lib/systemd/system/nginx.service
    +

    输入以下内容:

    [Unit]
    +Description=The nginx HTTP and reverse proxy server
    +After=network-online.target remote-fs.target nss-lookup.target
    +Wants=network-online.target
    +
    +[Service]
    +Type=forking
    +PIDFile=/run/nginx.pid
    +# Nginx will fail to start if /run/nginx.pid already exists but has the wrong
    +# SELinux context. This might happen when running \`nginx -t\` from the cmdline.
    +# https://bugzilla.redhat.com/show_bug.cgi?id=1268621
    +ExecStartPre=/bin/rm -f /run/nginx.pid
    +ExecStartPre=/usr/local/bin/nginx -t
    +ExecStart=/usr/local/bin/nginx
    +ExecReload=/usr/local/bin/nginx -s reload
    +ExecStop=/usr/local/bin/nginx -s stop
    +KillSignal=SIGQUIT
    +TimeoutStopSec=5
    +KillMode=process
    +PrivateTmp=true
    +
    +[Install]
    +WantedBy=multi-user.target
    +

    启动nginx:

    systemctl start nginx
    +

    开机自动启动nginx:

    systemctl enable nginx
    +

    参考文档

    `,26),t={href:"https://docs.nginx.com/nginx/admin-guide/installing-nginx/installing-nginx-open-source/#downloading-the-sources",target:"_blank",rel:"noopener noreferrer"};function o(b,m){const e=s("ExternalLinkIcon");return d(),a("div",null,[u,n("ul",null,[n("li",null,[n("a",t,[l("Nginx官方文档"),r(e)])])])])}const g=i(v,[["render",o],["__file","install_nginx_from_source.html.vue"]]);export{g as default}; diff --git a/assets/install_nginx_from_source.html-4d670bf5.js b/assets/install_nginx_from_source.html-4d670bf5.js new file mode 100644 index 000000000..4ebbc8b32 --- /dev/null +++ b/assets/install_nginx_from_source.html-4d670bf5.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-b650f4dc","path":"/en/advanced/install_nginx_from_source.html","title":"源码安装 Nginx","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"运行环境","slug":"运行环境","link":"#运行环境","children":[]},{"level":2,"title":"环境准备","slug":"环境准备","link":"#环境准备","children":[]},{"level":2,"title":"下载源码","slug":"下载源码","link":"#下载源码","children":[]},{"level":2,"title":"解压安装","slug":"解压安装","link":"#解压安装","children":[]},{"level":2,"title":"添加nginx配置文件","slug":"添加nginx配置文件","link":"#添加nginx配置文件","children":[]},{"level":2,"title":"配置开机自动启动","slug":"配置开机自动启动","link":"#配置开机自动启动","children":[]},{"level":2,"title":"参考文档","slug":"参考文档","link":"#参考文档","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/advanced/install_nginx_from_source.md"}');export{l as data}; diff --git a/assets/install_nginx_from_source.html-7bb4d6c5.js b/assets/install_nginx_from_source.html-7bb4d6c5.js new file mode 100644 index 000000000..542659e68 --- /dev/null +++ b/assets/install_nginx_from_source.html-7bb4d6c5.js @@ -0,0 +1,71 @@ +import{_ as i,r as s,o as d,c as a,a as n,b as l,d as r,e as c}from"./app-2a91d8ab.js";const v={},u=c(`

    源码安装 Nginx

    运行环境

    1. 基于x86_64的CentOS
    2. 基于aarch64(鲲鹏920)的UOS V20
    3. 基于aarch64(飞腾2000)的TencentOS Server

    环境准备

    安装编译打包需要的工具

    yum -y install gcc zlib-devel pcre-devel bzip2-devel openssl-devel readline-devel
    +

    Ubuntu: apt install gcc libssl-dev zlib1g-dev libpcre3-dev libbz2-dev libreadline-dev

    下载源码

    wget http://nginx.org/download/nginx-1.20.2.tar.gz
    +

    解压安装

    # 解压
    +$ tar zvxf nginx-1.20.2.tar.gz -C /usr/local/src
    +
    +# 进入源码目录
    +$ cd /usr/local/src/nginx-1.20.2
    +
    +# 配置
    +$ ./configure \\
    +--sbin-path=/usr/local/nginx/nginx \\
    +--conf-path=/etc/nginx/nginx.conf \\
    +--pid-path=/run/nginx.pid \\
    +--with-stream \\
    +--with-http_ssl_module --with-http_v2_module --with-http_auth_request_module
    +
    +# 构建nginx
    +$ make -j4
    +$ make install
    +$ make clean
    +
    +# 建立软链
    +$ ln -s /usr/local/nginx/nginx /usr/local/bin/nginx
    +

    添加nginx配置文件

    mkdir /etc/nginx/conf.d/
    +vi /etc/nginx/nginx.conf
    +

    检查nginx.conf配置文件:

    1. 检查pid /run/nginx.pid,如果缺失或被注释则加上,加上位置如下所示:
    2. 检查是否缺失这一行include conf.d/*.conf;,如果缺失则加上,加上位置如下所示:
    # ...省略内容
    +#pid        logs/nginx.pid;  # 默认有的
    +pid         /run/nginx.pid;
    +
    +events {
    +    # ...省略内容
    +}
    +
    +# ...省略内容
    +
    +http {
    +    # ...省略内容
    +    # 
    +    include conf.d/*.conf;    
    +    server {
    +        # ...省略内容
    +    }
    +}
    +
    +

    后续可以将nginx配置文件放置到/etc/nginx/conf.d/目录下

    配置开机自动启动

    vim /usr/lib/systemd/system/nginx.service
    +

    输入以下内容:

    [Unit]
    +Description=The nginx HTTP and reverse proxy server
    +After=network-online.target remote-fs.target nss-lookup.target
    +Wants=network-online.target
    +
    +[Service]
    +Type=forking
    +PIDFile=/run/nginx.pid
    +# Nginx will fail to start if /run/nginx.pid already exists but has the wrong
    +# SELinux context. This might happen when running \`nginx -t\` from the cmdline.
    +# https://bugzilla.redhat.com/show_bug.cgi?id=1268621
    +ExecStartPre=/bin/rm -f /run/nginx.pid
    +ExecStartPre=/usr/local/bin/nginx -t
    +ExecStart=/usr/local/bin/nginx
    +ExecReload=/usr/local/bin/nginx -s reload
    +ExecStop=/usr/local/bin/nginx -s stop
    +KillSignal=SIGQUIT
    +TimeoutStopSec=5
    +KillMode=process
    +PrivateTmp=true
    +
    +[Install]
    +WantedBy=multi-user.target
    +

    启动nginx:

    systemctl start nginx
    +

    开机自动启动nginx:

    systemctl enable nginx
    +

    参考文档

    `,26),t={href:"https://docs.nginx.com/nginx/admin-guide/installing-nginx/installing-nginx-open-source/#downloading-the-sources",target:"_blank",rel:"noopener noreferrer"};function o(b,m){const e=s("ExternalLinkIcon");return d(),a("div",null,[u,n("ul",null,[n("li",null,[n("a",t,[l("Nginx官方文档"),r(e)])])])])}const g=i(v,[["render",o],["__file","install_nginx_from_source.html.vue"]]);export{g as default}; diff --git a/assets/install_nginx_from_source.html-bbfe6746.js b/assets/install_nginx_from_source.html-bbfe6746.js new file mode 100644 index 000000000..cbf6d234b --- /dev/null +++ b/assets/install_nginx_from_source.html-bbfe6746.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-173841d2","path":"/zh/advanced/install_nginx_from_source.html","title":"源码安装 Nginx","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"运行环境","slug":"运行环境","link":"#运行环境","children":[]},{"level":2,"title":"环境准备","slug":"环境准备","link":"#环境准备","children":[]},{"level":2,"title":"下载源码","slug":"下载源码","link":"#下载源码","children":[]},{"level":2,"title":"解压安装","slug":"解压安装","link":"#解压安装","children":[]},{"level":2,"title":"添加nginx配置文件","slug":"添加nginx配置文件","link":"#添加nginx配置文件","children":[]},{"level":2,"title":"配置开机自动启动","slug":"配置开机自动启动","link":"#配置开机自动启动","children":[]},{"level":2,"title":"参考文档","slug":"参考文档","link":"#参考文档","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/advanced/install_nginx_from_source.md"}');export{l as data}; diff --git a/assets/install_python37_on_centos.html-0777e70c.js b/assets/install_python37_on_centos.html-0777e70c.js new file mode 100644 index 000000000..63753f35e --- /dev/null +++ b/assets/install_python37_on_centos.html-0777e70c.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-58ad86e3","path":"/zh/advanced/install_python37_on_centos.html","title":"在 CentOS 安装 Python3.7","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"下载Python源码包","slug":"下载python源码包","link":"#下载python源码包","children":[]},{"level":2,"title":"安装前准备","slug":"安装前准备","link":"#安装前准备","children":[]},{"level":2,"title":"解压安装","slug":"解压安装","link":"#解压安装","children":[]},{"level":2,"title":"检查","slug":"检查","link":"#检查","children":[]},{"level":2,"title":"pypi下载源配置","slug":"pypi下载源配置","link":"#pypi下载源配置","children":[]},{"level":2,"title":"一键安装脚本","slug":"一键安装脚本","link":"#一键安装脚本","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/advanced/install_python37_on_centos.md"}');export{l as data}; diff --git a/assets/install_python37_on_centos.html-406b4dd9.js b/assets/install_python37_on_centos.html-406b4dd9.js new file mode 100644 index 000000000..0f8b948d8 --- /dev/null +++ b/assets/install_python37_on_centos.html-406b4dd9.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-92a2a070","path":"/en/advanced/install_python37_on_centos.html","title":"在 CentOS 安装 Python3.7","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"下载Python源码包","slug":"下载python源码包","link":"#下载python源码包","children":[]},{"level":2,"title":"安装前准备","slug":"安装前准备","link":"#安装前准备","children":[]},{"level":2,"title":"解压安装","slug":"解压安装","link":"#解压安装","children":[]},{"level":2,"title":"检查","slug":"检查","link":"#检查","children":[]},{"level":2,"title":"pypi下载源配置","slug":"pypi下载源配置","link":"#pypi下载源配置","children":[]},{"level":2,"title":"一键安装脚本","slug":"一键安装脚本","link":"#一键安装脚本","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/advanced/install_python37_on_centos.md"}');export{l as data}; diff --git a/assets/install_python37_on_centos.html-77d1e41a.js b/assets/install_python37_on_centos.html-77d1e41a.js new file mode 100644 index 000000000..a58384b47 --- /dev/null +++ b/assets/install_python37_on_centos.html-77d1e41a.js @@ -0,0 +1,63 @@ +import{_ as e,o as n,c as i,e as l}from"./app-2a91d8ab.js";const s={},d=l(`

    在 CentOS 安装 Python3.7

    下载Python源码包

    wget https://www.python.org/ftp/python/3.7.12/Python-3.7.12.tgz
    +

    安装前准备

    安装依赖组件

    yum -y install wget zlib-devel bzip2-devel openssl-devel ncurses-devel sqlite-devel readline-devel tk-devel gcc make libffi-devel xz-devel
    +

    解压安装

    # 解压到/usr/local/src目录
    +$ tar zvxf Python-3.7.12.tgz -C /usr/local/src
    +$ cd /usr/local/src/Python-3.7.12
    +# 编译前配置
    +$ ./configure prefix=/usr/local/python3 --enable-shared
    +# 编译构建
    +$ make -j8
    +# 安装Python
    +$ make install
    +# 清理编译产出的中间文件
    +$ make clean
    +# 链接构建产出的Python可执行文件到/usr/local/bin目录
    +$ ln -s /usr/local/python3/bin/python3 /usr/local/bin/python
    +# 链接构建产出的pip3可执行文件到/usr/local/bin目录
    +$ ln -s /usr/local/python3/bin/pip3 /usr/local/bin/pip
    +# 链接构建产出的Python动态库
    +$ ln -s /usr/local/python3/lib/libpython3.7m.so.1.0 /usr/lib/libpython3.7m.so.1.0
    +# 配置动态库
    +$ ldconfig
    +

    检查

    检查Python版本是否安装成功

    $ python --version
    +Python 3.7.12  # 正常输出,表示安装成功
    +

    注:

    1. 链接到/usr/local/bin/目录不会影响系统软件(比如yum)的使用,因为 yum 工具指定的Python路径是/usr/bin/python
    2. 一般情况下,PATH配置是先/usr/local/bin/usr/bin
    3. 检查python -v输出结果是否为Python 3.7.12版本,如果不是该版本,可能影响后续依赖安装和服务运行

    pypi下载源配置

    pip默认是到pypi官方源下载第三方依赖包,下载速度可能会比较慢,可以考虑调整为腾讯云的pypi下载源,调整方式:

    mkdir ~/.pip/
    +echo "extra-index-url = https://mirrors.cloud.tencent.com/pypi/simple" >> ~/.pip/pip.conf
    +

    一键安装脚本

    以下脚本内容是上面的步骤集合,省去了复制粘贴的重复动作。

    1. 创建文件 install_py37.sh,写入以下 shell 脚本
    2. 赋予执行权限,chmox +x install_py37.sh
    3. 执行脚本,./install_py37.sh
    #!/bin/env bash
    +
    +## 下载 Python 源码,如果已下载源码在脚本当前目录下,可注释跳过下载步骤
    +wget https://www.python.org/ftp/python/3.7.12/Python-3.7.12.tgz
    +
    +## 安装编译依赖组件
    +yum -y install wget zlib-devel bzip2-devel openssl-devel ncurses-devel sqlite-devel readline-devel tk-devel gcc make libffi-devel xz-devel
    +
    +## 解压安装
    +# 解压到/usr/local/src目录
    +tar zvxf Python-3.7.12.tgz -C /usr/local/src
    +cd /usr/local/src/Python-3.7.12
    +# 编译前配置
    +./configure prefix=/usr/local/python3 --enable-shared
    +# 编译构建
    +make -j8
    +# 安装Python
    +make install
    +# 清理编译产出的中间文件
    +make clean
    +# 链接构建产出的Python可执行文件到/usr/local/bin目录
    +ln -s /usr/local/python3/bin/python3 /usr/local/bin/python
    +# 链接构建产出的pip3可执行文件到/usr/local/bin目录
    +ln -s /usr/local/python3/bin/pip3 /usr/local/bin/pip
    +# 链接构建产出的Python动态库
    +ln -s /usr/local/python3/lib/libpython3.7m.so.1.0 /usr/lib/libpython3.7m.so.1.0
    +# 配置动态库
    +ldconfig
    +
    +## 检查Python版本是否安装成功
    +echo -e "\\033[1;42;37m[$(date "+%Y/%m/%d %H:%M:%S")] [Check]: 检查Python版本\\033[0m"
    +python --version
    +echo -e "\\033[1;42;37m[$(date "+%Y/%m/%d %H:%M:%S")] [Check]: 检查Python版本\\033[0m"
    +
    +## pypi下载源配置
    +mkdir ~/.pip/
    +echo "extra-index-url = https://mirrors.cloud.tencent.com/pypi/simple" >> ~/.pip/pip.conf
    +
    `,20),a=[d];function r(c,o){return n(),i("div",null,a)}const t=e(s,[["render",r],["__file","install_python37_on_centos.html.vue"]]);export{t as default}; diff --git a/assets/install_python37_on_centos.html-cd63257c.js b/assets/install_python37_on_centos.html-cd63257c.js new file mode 100644 index 000000000..a58384b47 --- /dev/null +++ b/assets/install_python37_on_centos.html-cd63257c.js @@ -0,0 +1,63 @@ +import{_ as e,o as n,c as i,e as l}from"./app-2a91d8ab.js";const s={},d=l(`

    在 CentOS 安装 Python3.7

    下载Python源码包

    wget https://www.python.org/ftp/python/3.7.12/Python-3.7.12.tgz
    +

    安装前准备

    安装依赖组件

    yum -y install wget zlib-devel bzip2-devel openssl-devel ncurses-devel sqlite-devel readline-devel tk-devel gcc make libffi-devel xz-devel
    +

    解压安装

    # 解压到/usr/local/src目录
    +$ tar zvxf Python-3.7.12.tgz -C /usr/local/src
    +$ cd /usr/local/src/Python-3.7.12
    +# 编译前配置
    +$ ./configure prefix=/usr/local/python3 --enable-shared
    +# 编译构建
    +$ make -j8
    +# 安装Python
    +$ make install
    +# 清理编译产出的中间文件
    +$ make clean
    +# 链接构建产出的Python可执行文件到/usr/local/bin目录
    +$ ln -s /usr/local/python3/bin/python3 /usr/local/bin/python
    +# 链接构建产出的pip3可执行文件到/usr/local/bin目录
    +$ ln -s /usr/local/python3/bin/pip3 /usr/local/bin/pip
    +# 链接构建产出的Python动态库
    +$ ln -s /usr/local/python3/lib/libpython3.7m.so.1.0 /usr/lib/libpython3.7m.so.1.0
    +# 配置动态库
    +$ ldconfig
    +

    检查

    检查Python版本是否安装成功

    $ python --version
    +Python 3.7.12  # 正常输出,表示安装成功
    +

    注:

    1. 链接到/usr/local/bin/目录不会影响系统软件(比如yum)的使用,因为 yum 工具指定的Python路径是/usr/bin/python
    2. 一般情况下,PATH配置是先/usr/local/bin/usr/bin
    3. 检查python -v输出结果是否为Python 3.7.12版本,如果不是该版本,可能影响后续依赖安装和服务运行

    pypi下载源配置

    pip默认是到pypi官方源下载第三方依赖包,下载速度可能会比较慢,可以考虑调整为腾讯云的pypi下载源,调整方式:

    mkdir ~/.pip/
    +echo "extra-index-url = https://mirrors.cloud.tencent.com/pypi/simple" >> ~/.pip/pip.conf
    +

    一键安装脚本

    以下脚本内容是上面的步骤集合,省去了复制粘贴的重复动作。

    1. 创建文件 install_py37.sh,写入以下 shell 脚本
    2. 赋予执行权限,chmox +x install_py37.sh
    3. 执行脚本,./install_py37.sh
    #!/bin/env bash
    +
    +## 下载 Python 源码,如果已下载源码在脚本当前目录下,可注释跳过下载步骤
    +wget https://www.python.org/ftp/python/3.7.12/Python-3.7.12.tgz
    +
    +## 安装编译依赖组件
    +yum -y install wget zlib-devel bzip2-devel openssl-devel ncurses-devel sqlite-devel readline-devel tk-devel gcc make libffi-devel xz-devel
    +
    +## 解压安装
    +# 解压到/usr/local/src目录
    +tar zvxf Python-3.7.12.tgz -C /usr/local/src
    +cd /usr/local/src/Python-3.7.12
    +# 编译前配置
    +./configure prefix=/usr/local/python3 --enable-shared
    +# 编译构建
    +make -j8
    +# 安装Python
    +make install
    +# 清理编译产出的中间文件
    +make clean
    +# 链接构建产出的Python可执行文件到/usr/local/bin目录
    +ln -s /usr/local/python3/bin/python3 /usr/local/bin/python
    +# 链接构建产出的pip3可执行文件到/usr/local/bin目录
    +ln -s /usr/local/python3/bin/pip3 /usr/local/bin/pip
    +# 链接构建产出的Python动态库
    +ln -s /usr/local/python3/lib/libpython3.7m.so.1.0 /usr/lib/libpython3.7m.so.1.0
    +# 配置动态库
    +ldconfig
    +
    +## 检查Python版本是否安装成功
    +echo -e "\\033[1;42;37m[$(date "+%Y/%m/%d %H:%M:%S")] [Check]: 检查Python版本\\033[0m"
    +python --version
    +echo -e "\\033[1;42;37m[$(date "+%Y/%m/%d %H:%M:%S")] [Check]: 检查Python版本\\033[0m"
    +
    +## pypi下载源配置
    +mkdir ~/.pip/
    +echo "extra-index-url = https://mirrors.cloud.tencent.com/pypi/simple" >> ~/.pip/pip.conf
    +
    `,20),a=[d];function r(c,o){return n(),i("div",null,a)}const t=e(s,[["render",r],["__file","install_python37_on_centos.html.vue"]]);export{t as default}; diff --git a/assets/install_python37_on_ubuntu.html-15ea3d7a.js b/assets/install_python37_on_ubuntu.html-15ea3d7a.js new file mode 100644 index 000000000..3a8268c03 --- /dev/null +++ b/assets/install_python37_on_ubuntu.html-15ea3d7a.js @@ -0,0 +1,27 @@ +import{_ as e,o as n,c as i,e as a}from"./app-2a91d8ab.js";const l={},s=a(`

    在 Ubuntu 安装 Python3.7

    注:当前Ubuntu版本为18.04

    下载Python源码包

    wget https://www.python.org/ftp/python/3.7.12/Python-3.7.12.tgz
    +

    安装前准备

    安装依赖组件

    apt-get update
    +apt-get install build-essential zlib1g-dev libncurses5-dev libgdbm-dev libnss3-dev libssl-dev libsqlite3-dev libreadline-dev libffi-dev wget libbz2-dev tk-dev gcc make
    +

    解压安装

    # 解压到/usr/local/src目录
    +$ tar zvxf Python-3.7.12.tgz -C /usr/local/src
    +$ cd /usr/local/src/Python-3.7.12
    +# 编译前配置
    +$ ./configure prefix=/usr/local/python3 --enable-shared
    +# 编译构建
    +$ make -j8
    +# 安装Python
    +$ make install
    +# 清理编译产出的中间文件
    +$ make clean
    +# 链接构建产出的Python可执行文件到/usr/local/bin目录
    +$ ln -s /usr/local/python3/bin/python3 /usr/local/bin/python
    +# 链接构建产出的pip3可执行文件到/usr/local/bin目录
    +$ ln -s /usr/local/python3/bin/pip3 /usr/local/bin/pip
    +# 链接构建产出的Python动态库
    +$ ln -s /usr/local/python3/lib/libpython3.7m.so.1.0 /usr/lib/libpython3.7m.so.1.0
    +# 配置动态库
    +$ ldconfig
    +

    检查

    检查Python版本是否安装成功

    $ python --version
    +Python 3.7.12  # 正常输出,表示安装成功
    +

    注:

    1. 链接到/usr/local/bin/目录不会影响系统软件
    2. 一般情况下,PATH配置是先/usr/local/bin/usr/bin
    3. 检查python -v输出结果是否为Python 3.7.12版本,如果不是该版本,可能影响后续依赖安装和服务运行

    pypi下载源配置

    pip默认是到pypi官方源下载第三方依赖包,下载速度可能会比较慢,可以考虑调整为腾讯云的pypi下载源,调整方式:

    mkdir ~/.pip/
    +echo "[global]\\nindex-url = https://mirrors.cloud.tencent.com/pypi/simple" >> ~/.pip/pip.conf
    +
    `,17),d=[s];function r(c,o){return n(),i("div",null,d)}const u=e(l,[["render",r],["__file","install_python37_on_ubuntu.html.vue"]]);export{u as default}; diff --git a/assets/install_python37_on_ubuntu.html-5c2a2a11.js b/assets/install_python37_on_ubuntu.html-5c2a2a11.js new file mode 100644 index 000000000..3a8268c03 --- /dev/null +++ b/assets/install_python37_on_ubuntu.html-5c2a2a11.js @@ -0,0 +1,27 @@ +import{_ as e,o as n,c as i,e as a}from"./app-2a91d8ab.js";const l={},s=a(`

    在 Ubuntu 安装 Python3.7

    注:当前Ubuntu版本为18.04

    下载Python源码包

    wget https://www.python.org/ftp/python/3.7.12/Python-3.7.12.tgz
    +

    安装前准备

    安装依赖组件

    apt-get update
    +apt-get install build-essential zlib1g-dev libncurses5-dev libgdbm-dev libnss3-dev libssl-dev libsqlite3-dev libreadline-dev libffi-dev wget libbz2-dev tk-dev gcc make
    +

    解压安装

    # 解压到/usr/local/src目录
    +$ tar zvxf Python-3.7.12.tgz -C /usr/local/src
    +$ cd /usr/local/src/Python-3.7.12
    +# 编译前配置
    +$ ./configure prefix=/usr/local/python3 --enable-shared
    +# 编译构建
    +$ make -j8
    +# 安装Python
    +$ make install
    +# 清理编译产出的中间文件
    +$ make clean
    +# 链接构建产出的Python可执行文件到/usr/local/bin目录
    +$ ln -s /usr/local/python3/bin/python3 /usr/local/bin/python
    +# 链接构建产出的pip3可执行文件到/usr/local/bin目录
    +$ ln -s /usr/local/python3/bin/pip3 /usr/local/bin/pip
    +# 链接构建产出的Python动态库
    +$ ln -s /usr/local/python3/lib/libpython3.7m.so.1.0 /usr/lib/libpython3.7m.so.1.0
    +# 配置动态库
    +$ ldconfig
    +

    检查

    检查Python版本是否安装成功

    $ python --version
    +Python 3.7.12  # 正常输出,表示安装成功
    +

    注:

    1. 链接到/usr/local/bin/目录不会影响系统软件
    2. 一般情况下,PATH配置是先/usr/local/bin/usr/bin
    3. 检查python -v输出结果是否为Python 3.7.12版本,如果不是该版本,可能影响后续依赖安装和服务运行

    pypi下载源配置

    pip默认是到pypi官方源下载第三方依赖包,下载速度可能会比较慢,可以考虑调整为腾讯云的pypi下载源,调整方式:

    mkdir ~/.pip/
    +echo "[global]\\nindex-url = https://mirrors.cloud.tencent.com/pypi/simple" >> ~/.pip/pip.conf
    +
    `,17),d=[s];function r(c,o){return n(),i("div",null,d)}const u=e(l,[["render",r],["__file","install_python37_on_ubuntu.html.vue"]]);export{u as default}; diff --git a/assets/install_python37_on_ubuntu.html-bab383eb.js b/assets/install_python37_on_ubuntu.html-bab383eb.js new file mode 100644 index 000000000..9caed7c4e --- /dev/null +++ b/assets/install_python37_on_ubuntu.html-bab383eb.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-c332cb30","path":"/zh/advanced/install_python37_on_ubuntu.html","title":"在 Ubuntu 安装 Python3.7","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"下载Python源码包","slug":"下载python源码包","link":"#下载python源码包","children":[]},{"level":2,"title":"安装前准备","slug":"安装前准备","link":"#安装前准备","children":[]},{"level":2,"title":"解压安装","slug":"解压安装","link":"#解压安装","children":[]},{"level":2,"title":"检查","slug":"检查","link":"#检查","children":[]},{"level":2,"title":"pypi下载源配置","slug":"pypi下载源配置","link":"#pypi下载源配置","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/advanced/install_python37_on_ubuntu.md"}');export{l as data}; diff --git a/assets/install_python37_on_ubuntu.html-e2ed6f5c.js b/assets/install_python37_on_ubuntu.html-e2ed6f5c.js new file mode 100644 index 000000000..9257c08c7 --- /dev/null +++ b/assets/install_python37_on_ubuntu.html-e2ed6f5c.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-07307966","path":"/en/advanced/install_python37_on_ubuntu.html","title":"在 Ubuntu 安装 Python3.7","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"下载Python源码包","slug":"下载python源码包","link":"#下载python源码包","children":[]},{"level":2,"title":"安装前准备","slug":"安装前准备","link":"#安装前准备","children":[]},{"level":2,"title":"解压安装","slug":"解压安装","link":"#解压安装","children":[]},{"level":2,"title":"检查","slug":"检查","link":"#检查","children":[]},{"level":2,"title":"pypi下载源配置","slug":"pypi下载源配置","link":"#pypi下载源配置","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/advanced/install_python37_on_ubuntu.md"}');export{l as data}; diff --git a/assets/install_redis_from_source.html-089c356a.js b/assets/install_redis_from_source.html-089c356a.js new file mode 100644 index 000000000..2cba615e9 --- /dev/null +++ b/assets/install_redis_from_source.html-089c356a.js @@ -0,0 +1,45 @@ +import{_ as s,r as a,o as d,c as n,a as e,b as r,d as l,e as c}from"./app-2a91d8ab.js";const v={},t=c(`

    源码安装 Redis

    运行环境

    1. 基于x86_64的CentOS
    2. 基于鲲鹏920(aarch64)的UOS V20
    3. 基于飞腾2000(aarch64)的TencentOS Server

    环境准备

    安装编译打包需要的工具

    yum install -y gcc make tcl wget
    +

    下载源码

    wget http://download.redis.io/releases/redis-5.0.4.tar.gz
    +

    编译安装

    # 解压
    +$ tar zvxf redis-5.0.4.tar.gz -C /usr/local/src
    +
    +# 进入源码目录
    +$ cd /usr/local/src/redis-5.0.4
    +
    +# 构建redis依赖库
    +$ cd deps; make -j4 hiredis jemalloc linenoise lua
    +$ cd ..
    +
    +# 构建redis
    +$ make -j4
    +$ make install
    +$ make clean
    +

    安装后,可以在/usr/local/src/redis-5.0.4/src目录和/usr/local/bin/目录下找到redis-serverredis-cli两个文件

    调整配置

    cp /usr/local/src/redis/redis.conf  /etc/redis.conf
    +vim /usr/local/src/redis/redis.conf 
    +
    # 设置Redis密码
    +requirepass 123456
    +
    +# 将 daemonize no 调整为 daemonize yes,将redis-server调整为默认后台启动
    +daemonize yes
    +
    +# 配置日志
    +logfile '/var/log/redis/redis-server.log'
    +

    启动服务

    redis-server /etc/redis.conf 
    +

    配置开机自动启动

    vim /etc/systemd/system/redis.service
    +

    输入以下内容:

    [Unit]
    +Description=redis-server
    +After=network.target
    +
    +[Service]
    +Type=forking
    +ExecStart=/usr/local/bin/redis-server /etc/redis.conf
    +ExecStop=/usr/local/bin/redis-cli shutdown
    +Restart=always
    +
    +PrivateTmp=true
    +
    +[Install]
    +WantedBy=multi-user.target
    +

    启动redis-server:

    systemctl start redis
    +

    开机自动启动redis:

    systemctl enable redis
    +

    参考文档

    `,25),u={href:"https://redis.io/topics/quickstart",target:"_blank",rel:"noopener noreferrer"};function o(h,m){const i=a("ExternalLinkIcon");return d(),n("div",null,[t,e("ul",null,[e("li",null,[e("a",u,[r("Redis官方文档"),l(i)])])])])}const g=s(v,[["render",o],["__file","install_redis_from_source.html.vue"]]);export{g as default}; diff --git a/assets/install_redis_from_source.html-215b8bee.js b/assets/install_redis_from_source.html-215b8bee.js new file mode 100644 index 000000000..f7cae6828 --- /dev/null +++ b/assets/install_redis_from_source.html-215b8bee.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-d81b4954","path":"/zh/advanced/install_redis_from_source.html","title":"源码安装 Redis","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"运行环境","slug":"运行环境","link":"#运行环境","children":[]},{"level":2,"title":"环境准备","slug":"环境准备","link":"#环境准备","children":[]},{"level":2,"title":"下载源码","slug":"下载源码","link":"#下载源码","children":[]},{"level":2,"title":"编译安装","slug":"编译安装","link":"#编译安装","children":[]},{"level":2,"title":"调整配置","slug":"调整配置","link":"#调整配置","children":[]},{"level":2,"title":"启动服务","slug":"启动服务","link":"#启动服务","children":[]},{"level":2,"title":"配置开机自动启动","slug":"配置开机自动启动","link":"#配置开机自动启动","children":[]},{"level":2,"title":"参考文档","slug":"参考文档","link":"#参考文档","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/advanced/install_redis_from_source.md"}');export{l as data}; diff --git a/assets/install_redis_from_source.html-91fed3be.js b/assets/install_redis_from_source.html-91fed3be.js new file mode 100644 index 000000000..2cba615e9 --- /dev/null +++ b/assets/install_redis_from_source.html-91fed3be.js @@ -0,0 +1,45 @@ +import{_ as s,r as a,o as d,c as n,a as e,b as r,d as l,e as c}from"./app-2a91d8ab.js";const v={},t=c(`

    源码安装 Redis

    运行环境

    1. 基于x86_64的CentOS
    2. 基于鲲鹏920(aarch64)的UOS V20
    3. 基于飞腾2000(aarch64)的TencentOS Server

    环境准备

    安装编译打包需要的工具

    yum install -y gcc make tcl wget
    +

    下载源码

    wget http://download.redis.io/releases/redis-5.0.4.tar.gz
    +

    编译安装

    # 解压
    +$ tar zvxf redis-5.0.4.tar.gz -C /usr/local/src
    +
    +# 进入源码目录
    +$ cd /usr/local/src/redis-5.0.4
    +
    +# 构建redis依赖库
    +$ cd deps; make -j4 hiredis jemalloc linenoise lua
    +$ cd ..
    +
    +# 构建redis
    +$ make -j4
    +$ make install
    +$ make clean
    +

    安装后,可以在/usr/local/src/redis-5.0.4/src目录和/usr/local/bin/目录下找到redis-serverredis-cli两个文件

    调整配置

    cp /usr/local/src/redis/redis.conf  /etc/redis.conf
    +vim /usr/local/src/redis/redis.conf 
    +
    # 设置Redis密码
    +requirepass 123456
    +
    +# 将 daemonize no 调整为 daemonize yes,将redis-server调整为默认后台启动
    +daemonize yes
    +
    +# 配置日志
    +logfile '/var/log/redis/redis-server.log'
    +

    启动服务

    redis-server /etc/redis.conf 
    +

    配置开机自动启动

    vim /etc/systemd/system/redis.service
    +

    输入以下内容:

    [Unit]
    +Description=redis-server
    +After=network.target
    +
    +[Service]
    +Type=forking
    +ExecStart=/usr/local/bin/redis-server /etc/redis.conf
    +ExecStop=/usr/local/bin/redis-cli shutdown
    +Restart=always
    +
    +PrivateTmp=true
    +
    +[Install]
    +WantedBy=multi-user.target
    +

    启动redis-server:

    systemctl start redis
    +

    开机自动启动redis:

    systemctl enable redis
    +

    参考文档

    `,25),u={href:"https://redis.io/topics/quickstart",target:"_blank",rel:"noopener noreferrer"};function o(h,m){const i=a("ExternalLinkIcon");return d(),n("div",null,[t,e("ul",null,[e("li",null,[e("a",u,[r("Redis官方文档"),l(i)])])])])}const g=s(v,[["render",o],["__file","install_redis_from_source.html.vue"]]);export{g as default}; diff --git a/assets/install_redis_from_source.html-d680ee1a.js b/assets/install_redis_from_source.html-d680ee1a.js new file mode 100644 index 000000000..f47b7fa37 --- /dev/null +++ b/assets/install_redis_from_source.html-d680ee1a.js @@ -0,0 +1 @@ +const l=JSON.parse('{"key":"v-446601d1","path":"/en/advanced/install_redis_from_source.html","title":"源码安装 Redis","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"运行环境","slug":"运行环境","link":"#运行环境","children":[]},{"level":2,"title":"环境准备","slug":"环境准备","link":"#环境准备","children":[]},{"level":2,"title":"下载源码","slug":"下载源码","link":"#下载源码","children":[]},{"level":2,"title":"编译安装","slug":"编译安装","link":"#编译安装","children":[]},{"level":2,"title":"调整配置","slug":"调整配置","link":"#调整配置","children":[]},{"level":2,"title":"启动服务","slug":"启动服务","link":"#启动服务","children":[]},{"level":2,"title":"配置开机自动启动","slug":"配置开机自动启动","link":"#配置开机自动启动","children":[]},{"level":2,"title":"参考文档","slug":"参考文档","link":"#参考文档","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/advanced/install_redis_from_source.md"}');export{l as data}; diff --git a/assets/install_redis_on_centos.html-0830290e.js b/assets/install_redis_on_centos.html-0830290e.js new file mode 100644 index 000000000..3f555d21c --- /dev/null +++ b/assets/install_redis_on_centos.html-0830290e.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-85814896","path":"/en/advanced/install_redis_on_centos.html","title":"在 CentOS 安装 Redis","lang":"en-US","frontmatter":{},"headers":[{"level":2,"title":"注意","slug":"注意","link":"#注意","children":[]},{"level":2,"title":"环境","slug":"环境","link":"#环境","children":[]},{"level":2,"title":"yum 安装 redis","slug":"yum-安装-redis","link":"#yum-安装-redis","children":[]},{"level":2,"title":"修改redis密码","slug":"修改redis密码","link":"#修改redis密码","children":[]},{"level":2,"title":"启动redis","slug":"启动redis","link":"#启动redis","children":[]},{"level":2,"title":"访问redis","slug":"访问redis","link":"#访问redis","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"en/advanced/install_redis_on_centos.md"}');export{e as data}; diff --git a/assets/install_redis_on_centos.html-6c713327.js b/assets/install_redis_on_centos.html-6c713327.js new file mode 100644 index 000000000..1e0971460 --- /dev/null +++ b/assets/install_redis_on_centos.html-6c713327.js @@ -0,0 +1 @@ +const e=JSON.parse('{"key":"v-2cae527a","path":"/zh/advanced/install_redis_on_centos.html","title":"在 CentOS 安装 Redis","lang":"zh-CN","frontmatter":{},"headers":[{"level":2,"title":"注意","slug":"注意","link":"#注意","children":[]},{"level":2,"title":"环境","slug":"环境","link":"#环境","children":[]},{"level":2,"title":"yum 安装 redis","slug":"yum-安装-redis","link":"#yum-安装-redis","children":[]},{"level":2,"title":"修改redis密码","slug":"修改redis密码","link":"#修改redis密码","children":[]},{"level":2,"title":"启动redis","slug":"启动redis","link":"#启动redis","children":[]},{"level":2,"title":"访问redis","slug":"访问redis","link":"#访问redis","children":[]}],"git":{"updatedTime":1725872649000,"contributors":[{"name":"Jero","email":"lingh0927@hotmail.com","commits":1}]},"filePathRelative":"zh/advanced/install_redis_on_centos.md"}');export{e as data}; diff --git a/assets/install_redis_on_centos.html-927eeae4.js b/assets/install_redis_on_centos.html-927eeae4.js new file mode 100644 index 000000000..8f1cb2921 --- /dev/null +++ b/assets/install_redis_on_centos.html-927eeae4.js @@ -0,0 +1,13 @@ +import{_ as d,r as i,o as n,c as r,a as e,b as a,d as l,e as c}from"./app-2a91d8ab.js";const t={},o=e("h1",{id:"在-centos-安装-redis",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#在-centos-安装-redis","aria-hidden":"true"},"#"),a(" 在 CentOS 安装 Redis")],-1),h=e("h2",{id:"注意",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#注意","aria-hidden":"true"},"#"),a(" 注意")],-1),u={href:"https://cloud.tencent.com/product/crs",target:"_blank",rel:"noopener noreferrer"},v=c(`

    环境

    CentOS 7.3 版本

    yum 安装 redis

    yum install redis
    +

    注:安装redis可能会出现"no package redis available"的错误提示,请执行yum install epel-release后重试redis安装命令。

    修改redis密码

    $ vi /etc/redis.conf
    +
    +# 找到 requirepass foobared
    +# 复制一行并根据自己需要调整密码,比如
    +requirepass tca123
    +

    启动redis

    systemctl start redis
    +

    查看redis运行状态

    systemctl status redis
    +

    访问redis

    $ redis-cli
    +
    +127.0.0.1:6379> auth tca123
    +OK # 鉴权通过
    +
    `,13);function b(m,p){const s=i("ExternalLinkIcon");return n(),r("div",null,[o,h,e("p",null,[a("本文档仅供参考,不适用于正式环境部署,正式环境建议使用专业的Redis服务(比如"),e("a",u,[a("腾讯云的Redis产品"),l(s)]),a(")")]),v])}const g=d(t,[["render",b],["__file","install_redis_on_centos.html.vue"]]);export{g as default}; diff --git a/assets/install_redis_on_centos.html-eb0d02c0.js b/assets/install_redis_on_centos.html-eb0d02c0.js new file mode 100644 index 000000000..8f1cb2921 --- /dev/null +++ b/assets/install_redis_on_centos.html-eb0d02c0.js @@ -0,0 +1,13 @@ +import{_ as d,r as i,o as n,c as r,a as e,b as a,d as l,e as c}from"./app-2a91d8ab.js";const t={},o=e("h1",{id:"在-centos-安装-redis",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#在-centos-安装-redis","aria-hidden":"true"},"#"),a(" 在 CentOS 安装 Redis")],-1),h=e("h2",{id:"注意",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#注意","aria-hidden":"true"},"#"),a(" 注意")],-1),u={href:"https://cloud.tencent.com/product/crs",target:"_blank",rel:"noopener noreferrer"},v=c(`

    环境

    CentOS 7.3 版本

    yum 安装 redis

    yum install redis
    +

    注:安装redis可能会出现"no package redis available"的错误提示,请执行yum install epel-release后重试redis安装命令。

    修改redis密码

    $ vi /etc/redis.conf
    +
    +# 找到 requirepass foobared
    +# 复制一行并根据自己需要调整密码,比如
    +requirepass tca123
    +

    启动redis

    systemctl start redis
    +

    查看redis运行状态

    systemctl status redis
    +

    访问redis

    $ redis-cli
    +
    +127.0.0.1:6379> auth tca123
    +OK # 鉴权通过
    +
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