From f5039c0ab6108252687f53bc520cab6f04ebbc5f Mon Sep 17 00:00:00 2001
From: gxl <abhors@163.com>
Date: Tue, 2 Jun 2026 13:31:33 +0800
Subject: [PATCH] =?UTF-8?q?feat(ci):=20=E6=B7=BB=E5=8A=A0=20Woodpecker=20C?=
 =?UTF-8?q?I=20=E9=85=8D=E7=BD=AE=E5=AE=9E=E7=8E=B0=20Java=20=E5=BA=94?=
 =?UTF-8?q?=E7=94=A8=E8=87=AA=E5=8A=A8=E6=9E=84=E5=BB=BA=E9=83=A8=E7=BD=B2?=
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- 配置了 Maven 构建步骤，支持依赖缓存加速
- 添加了 Docker 镜像构建和推送流程
- 设置了阿里云容器镜像服务仓库地址
- 创建了 Dockerfile 定义 Java 运行环境
- 配置了 JVM 参数优化和时区设置
- 添加了构建说明文档 1.txt
---
 .woodpecker.yaml | 43 +++++++++++++++++++++++++++++++++++++++++++
 1.txt            |  5 +++++
 Dockerfile       | 19 +++++++++++++++++++
 3 files changed, 67 insertions(+)
 create mode 100644 .woodpecker.yaml
 create mode 100644 1.txt
 create mode 100644 Dockerfile

diff --git a/.woodpecker.yaml b/.woodpecker.yaml
new file mode 100644
index 0000000..03f2123
--- /dev/null
+++ b/.woodpecker.yaml
@@ -0,0 +1,43 @@
+# .woodpecker.yaml
+workflows:
+  build-and-deploy:
+    name: Java应用构建与部署
+    # 触发条件，仅在 main/master 分支推送时运行
+    when:
+      - event: push
+        branch: main
+      - event: push
+        branch: master
+
+    steps:
+      # 1. 使用 Maven 构建 Java 应用，并缓存依赖
+      - name: Java 构建
+        image: maven:3.9.6-eclipse-temurin-17
+        pull: true
+        commands:
+          - mvn clean package -DskipTests  # 跳过测试以加快构建
+        volumes:
+          - /tmp/maven-cache:/root/.m2    # 缓存 Maven 依赖
+
+      # 2. 将构建好的 JAR 文件打包为 Docker 镜像
+      - name: Docker 构建
+        image: docker:latest
+        pull: true
+        commands:
+          - docker build -t registry.cn-zhangjiakou.aliyuncs.com/abhors/demo:latest .
+        volumes:
+          - /var/run/docker.sock:/var/run/docker.sock # ⚠️ Docker in Docker 挂载
+
+      # 3. 将打包好的镜像推送到 Docker Hub
+      - name: 镜像推送
+        image: plugins/docker
+        settings:
+          # ⚠️ 关键配置：必须准确填写
+          repo: registry.cn-zhangjiakou.aliyuncs.com/abhors/demo
+          registry: registry.cn-zhangjiakou.aliyuncs.com
+          tags: latest
+          dockerfile: ./Dockerfile
+          username:
+            from_secret: docker_hub_user   # 从 Woodpecker UI 获取的 Docker Hub 用户名
+          password:
+            from_secret: docker_hub_pass   # 从 Woodpecker UI 获取的 Docker Hub 密码或 Token
\ No newline at end of file
diff --git a/1.txt b/1.txt
new file mode 100644
index 0000000..be74767
--- /dev/null
+++ b/1.txt
@@ -0,0 +1,5 @@
+your-dockerhub-username	你的 Docker Hub 用户名或组织名。	abhors
+your-app-name	你的 Java 应用对应的 Docker 镜像名称。	demo
+docker_username / docker_password	这是流水线中引用的密钥名称。你需要在 Woodpecker UI 的设置页面中，将你的 Docker Hub 真实凭证添加为这两个密钥，流水线才能访问它们。	在 UI 中配置
+/tmp/maven-cache:/root/.m2	Maven 缓存。将宿主机目录挂载到容器内，可以复用 Maven 本地仓库，加速构建。
+/var/run/docker.sock:/var/run/docker.sock	Docker socket 挂载。这允许流水线在容器内直接调用宿主机的 Docker 守护进程来构建镜像。
\ No newline at end of file
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000..9c6e1fa
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,19 @@
+FROM ibm-semeru-runtimes:open-17-jre
+COPY ./target/*.jar /opt/app.jar
+#暴露端口
+EXPOSE 8080
+
+#COPY ./cert /opt/cert/
+
+#ENV TZ=PRC
+#RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
+#启动 如果启动时想要添加额外的配置可以通过docker run -e PARAM="-Dserver.port=8000 -Dspring.profiles.active-prod"
+ENV PROFILES="dev"
+
+ENV JVM_OPTS="-Duser.timezone=Asia/Shanghai -Xms512m -Xmx1024m -XX:MetaspaceSize=128m -XX:MaxMetaspaceSize=512m -Xloggc:gc/gc.log -XX:+PrintGCDateStamps -XX:+PrintGC -XX:+HeapDumpOnOutOfMemoryError -XX:+UseG1GC -XX:NumberOfGCLogFiles=2 -XX:+UseGCLogFileRotation -XX:GCLogFileSize=100m"
+
+# ENTRYPOINT exec java -Dspring.profiles.active=$PROFILES $JVM_OPTS -jar /opt/app.jar
+ENTRYPOINT ["sh", "-c", "java -Dspring.profiles.active=$PROFILES $JVM_OPTS -jar /opt/app.jar"]
+
+#ENTRYPOINT ["nohup","java", "-Xms256m", "-Xmx512m", "-XX:MetaspaceSize=128m", "-XX:MaxMetaspaceSize=512m","-Dfile.encoding=utf-8", "-Djava.security.egd=file:/dev/./urandom", "-jar", "app.jar", "$PROFILES_ACTIVE", "> /logs/lotpig-app.log 2>&1 &" ]
+