45 lines
1.4 KiB
Docker
45 lines
1.4 KiB
Docker
# —— 第一阶段：Maven 构建 ——
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FROM maven:3.8.7-eclipse-temurin-17-alpine AS builder
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WORKDIR /workspace
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# 把项目级 settings.xml 复制到容器里
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COPY .mvn/settings.xml /root/.m2/settings.xml
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# 1. 先只拷贝父 POM 及各模块的 pom.xml，加速依赖下载
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COPY pom.xml ./pom.xml
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COPY ai-rag-knowledge-api/pom.xml ./ai-rag-knowledge-api/pom.xml
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COPY ai-rag-knowledge-trigger/pom.xml ./ai-rag-knowledge-trigger/pom.xml
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COPY ai-rag-knowledge-app/pom.xml ./ai-rag-knowledge-app/pom.xml
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# 离线下载所有依赖
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RUN mvn dependency:go-offline -B
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# 2. 只拷源码模块，不拷 data/docs
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COPY ai-rag-knowledge-api ai-rag-knowledge-api
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COPY ai-rag-knowledge-trigger ai-rag-knowledge-trigger
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COPY ai-rag-knowledge-app ai-rag-knowledge-app
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# 3. 只打包 main 应用模块（连带编译它依赖的模块），跳过测试，加速构建
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RUN mvn \
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-f pom.xml clean package \
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-pl ai-rag-knowledge-app -am \
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-DskipTests -B
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# —— 第二阶段：运行时镜像 ——
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FROM openjdk:17-jdk-slim
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LABEL maintainer="smile"
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# 可选：设置时区
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ENV TZ=Asia/Shanghai
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RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
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# 把构建产物拷过来
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COPY --from=builder \
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/workspace/ai-rag-knowledge-app/target/ai-rag-knowledge-app.jar \
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app.jar
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# 暴露端口，按需改
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EXPOSE 8095
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ENTRYPOINT ["java", "-jar", "app.jar"]
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