添加测试环境
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# 使用 Python 3.12 slim 镜像
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FROM python:3.12-slim
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ENV TZ=Asia/Shanghai
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ENV ENV=test
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ENV PYTHONDONTWRITEBYTECODE=1
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ENV PYTHONUNBUFFERED=1
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# 时区 + 系统依赖
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RUN ln -sf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone \
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&& rm -rf /etc/apt/sources.list.d/* \
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&& echo "deb https://mirrors.aliyun.com/debian/ bookworm main non-free contrib" > /etc/apt/sources.list \
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&& echo "deb https://mirrors.aliyun.com/debian-security/ bookworm-security main non-free contrib" >> /etc/apt/sources.list \
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&& echo "deb https://mirrors.aliyun.com/debian/ bookworm-updates main non-free contrib" >> /etc/apt/sources.list \
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&& apt-get clean \
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&& apt-get update \
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&& apt-get install -y --no-install-recommends curl \
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&& rm -rf /var/lib/apt/lists/*
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RUN mkdir -p /app/app/logs
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WORKDIR /app
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# 先拷贝依赖声明,利用 Docker 层缓存
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt \
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-i https://mirrors.aliyun.com/pypi/simple/ \
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--trusted-host mirrors.aliyun.com
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# 拷贝应用代码和环境配置(测试环境)
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COPY app/ ./app/
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COPY .env.test ./.env.test
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EXPOSE 8000
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HEALTHCHECK --interval=30s --timeout=5s --start-period=20s --retries=3 \
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CMD curl -sf http://localhost:8000/health/ || exit 1
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# Gunicorn + Uvicorn Worker
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CMD ["gunicorn", "-w", "2", "-k", "uvicorn.workers.UvicornWorker", \
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"app.main:app", "-b", "0.0.0.0:8000", \
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"--timeout", "120", "--graceful-timeout", "30", \
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"--access-logfile", "-"]
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@@ -0,0 +1,210 @@
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/**
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* OfferPie Python AI 蓝绿部署流水线(测试环境)
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*
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* 架构:Jenkins 本地编译 → scp 镜像到目标机 → SSH 远程蓝绿切换
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* 目标机目录:/opt/offerpie/python-ai/
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*
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* 与生产差异:
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* - 部署目标为测试服务器
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* - 默认分支 test
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* - 镜像 tag = test(与生产 latest 隔离,避免同一 Jenkins 并发构建串包)
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* - tar 文件名带 tag(双保险)
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* - 构建使用 Dockerfile.test(ENV=test,打入 .env.test)
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*/
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pipeline {
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agent any
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parameters {
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choice(name: 'BRANCH', choices: ['test', 'dev', 'pre', 'master'], description: '选择要部署的分支')
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}
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environment {
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// 目标服务器配置(测试)
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DEPLOY_HOST = '8.163.131.234'
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DEPLOY_PORT = '22'
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DEPLOY_USER = 'root'
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DEPLOY_PASS = 'Mzpy520@126.com'
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// 项目配置
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IMAGE_NAME = 'offerpie-ai'
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IMAGE_TAG = 'test'
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IMAGE_TAR = 'offerpie-ai-test.tar'
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CONTAINER_PREFIX = 'offerpie-ai'
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REMOTE_DIR = '/opt/offerpie/python-ai'
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HEALTH_URL = 'http://localhost:8000/health/'
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// SSH 命令前缀
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SSH_CMD = "sshpass -p '${DEPLOY_PASS}' ssh -o StrictHostKeyChecking=no -p ${DEPLOY_PORT} ${DEPLOY_USER}@${DEPLOY_HOST}"
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SCP_CMD = "sshpass -p '${DEPLOY_PASS}' scp -o StrictHostKeyChecking=no -P ${DEPLOY_PORT}"
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}
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stages {
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stage('环境检查') {
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steps {
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sh 'sshpass -V'
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}
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}
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stage('拉取代码') {
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steps {
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echo "拉取 ${params.BRANCH} 分支代码"
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git branch: "${params.BRANCH}",
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credentialsId: 'gitea-fab089c1-b55d-4b58-9fad',
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url: 'http://git.jianshixingqiu.com/offerpai/offerpai_python_ai.git'
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}
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}
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stage('本地编译') {
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steps {
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echo "开始构建镜像"
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sh "docker build -f Dockerfile.test -t ${IMAGE_NAME}:${IMAGE_TAG} ."
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echo "导出镜像"
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sh "docker save -o ${IMAGE_TAR} ${IMAGE_NAME}:${IMAGE_TAG}"
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}
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}
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stage('文件传输') {
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steps {
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echo "传输文件到目标服务器"
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sh "${SSH_CMD} 'mkdir -p ${REMOTE_DIR}'"
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sh "${SCP_CMD} ${IMAGE_TAR} ${DEPLOY_USER}@${DEPLOY_HOST}:${REMOTE_DIR}/"
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sh "${SCP_CMD} nginx.conf ${DEPLOY_USER}@${DEPLOY_HOST}:${REMOTE_DIR}/nginx.conf"
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sh "${SCP_CMD} docker-compose.test.yml ${DEPLOY_USER}@${DEPLOY_HOST}:${REMOTE_DIR}/docker-compose.yml"
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}
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}
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stage('加载镜像') {
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steps {
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sh "${SSH_CMD} 'docker load < ${REMOTE_DIR}/${IMAGE_TAR}'"
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}
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}
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stage('检测部署目标') {
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steps {
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script {
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def blueRunning = sh(script: "${SSH_CMD} 'docker ps -q -f name=${CONTAINER_PREFIX}-blue'", returnStdout: true).trim()
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def greenRunning = sh(script: "${SSH_CMD} 'docker ps -q -f name=${CONTAINER_PREFIX}-green'", returnStdout: true).trim()
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env.DEPLOY_TARGET = ''
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if (blueRunning && !greenRunning) {
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env.DEPLOY_TARGET = 'green'
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}
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if (greenRunning && !blueRunning) {
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env.DEPLOY_TARGET = 'blue'
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}
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if (!env.DEPLOY_TARGET) {
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echo "当前环境未部署服务或状态异常,默认部署 blue"
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env.DEPLOY_TARGET = 'blue'
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}
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env.OTHER_TARGET = (env.DEPLOY_TARGET == 'blue') ? 'green' : 'blue'
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echo "当前激活: ${env.OTHER_TARGET},即将部署: ${env.DEPLOY_TARGET}"
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}
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}
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}
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stage('启动新版本') {
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steps {
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script {
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def existingContainer = sh(script: "${SSH_CMD} 'docker ps -aq -f name=${CONTAINER_PREFIX}-${env.DEPLOY_TARGET}'", returnStdout: true).trim()
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if (existingContainer) {
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sh "${SSH_CMD} 'docker rm -f ${CONTAINER_PREFIX}-${env.DEPLOY_TARGET}'"
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}
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sh "${SSH_CMD} 'cd ${REMOTE_DIR} && docker compose up -d ${env.DEPLOY_TARGET}'"
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sh 'sleep 15'
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}
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}
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}
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stage('检查Nginx') {
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steps {
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script {
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def nginxExists = sh(script: "${SSH_CMD} 'docker ps -aq -f name=${CONTAINER_PREFIX}-nginx'", returnStdout: true).trim()
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if (!nginxExists) {
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echo "首次部署,初始化 Nginx 容器"
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sh "${SSH_CMD} 'cd ${REMOTE_DIR} && docker compose up -d nginx'"
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sh 'sleep 3'
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} else {
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def nginxRunning = sh(script: "${SSH_CMD} 'docker ps -q -f name=${CONTAINER_PREFIX}-nginx'", returnStdout: true).trim()
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if (!nginxRunning) {
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echo "Nginx 容器已停止,重新启动"
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sh "${SSH_CMD} 'docker start ${CONTAINER_PREFIX}-nginx'"
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sh 'sleep 2'
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}
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echo "Nginx 容器已存在且运行中"
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}
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// docker cp nginx.conf 进容器
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sh "${SSH_CMD} 'docker cp ${REMOTE_DIR}/nginx.conf ${CONTAINER_PREFIX}-nginx:/etc/nginx/nginx.conf'"
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}
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}
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}
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stage('健康检查') {
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steps {
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script {
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def maxRetries = 3
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def retryCount = 0
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def healthy = false
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while (retryCount < maxRetries && !healthy) {
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try {
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sh "${SSH_CMD} 'docker exec ${CONTAINER_PREFIX}-${env.DEPLOY_TARGET} curl -f ${HEALTH_URL}'"
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healthy = true
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} catch (Exception e) {
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retryCount++
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if (retryCount < maxRetries) {
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echo "健康检查失败,5秒后重试 (${retryCount}/${maxRetries})"
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sleep 5
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}
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}
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}
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if (!healthy) {
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error "健康检查失败,部署中止"
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}
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echo "✅ ${CONTAINER_PREFIX}-${env.DEPLOY_TARGET} 健康检查通过"
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}
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}
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}
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stage('切换流量') {
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steps {
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script {
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sh "${SSH_CMD} 'docker exec ${CONTAINER_PREFIX}-nginx sed -i \"s/proxy_pass http:\\/\\/\\(blue\\|green\\):8000;/proxy_pass http:\\/\\/${env.DEPLOY_TARGET}:8000;/\" /etc/nginx/nginx.conf'"
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sh "${SSH_CMD} 'docker exec ${CONTAINER_PREFIX}-nginx nginx -s reload'"
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echo "✅ 流量已切换到 ${env.DEPLOY_TARGET}"
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}
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}
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}
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stage('删除旧版本') {
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steps {
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script {
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def otherExists = sh(script: "${SSH_CMD} 'docker ps -aq -f name=${CONTAINER_PREFIX}-${env.OTHER_TARGET}'", returnStdout: true).trim()
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if (otherExists) {
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sh "${SSH_CMD} 'docker rm -f ${CONTAINER_PREFIX}-${env.OTHER_TARGET}'"
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echo "旧版本 ${env.OTHER_TARGET} 已删除"
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}
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}
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}
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}
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stage('清理') {
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steps {
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sh "${SSH_CMD} 'rm -f ${REMOTE_DIR}/${IMAGE_TAR}'"
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sh "rm -f ${IMAGE_TAR}"
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}
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}
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}
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post {
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success {
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echo "✅ 蓝绿部署成功!当前运行: ${env.DEPLOY_TARGET}"
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}
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failure {
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echo '❌ 部署失败,请检查日志'
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sh "rm -f ${IMAGE_TAR} || true"
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}
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}
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}
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@@ -0,0 +1,65 @@
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services:
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nginx:
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image: nginx:alpine
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container_name: offerpie-ai-nginx
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restart: unless-stopped
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ports:
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- "10502:80"
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healthcheck:
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test: ["CMD", "wget", "--spider", "-q", "http://localhost/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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deploy:
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resources:
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limits:
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memory: 256M
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cpus: '1'
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blue:
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image: offerpie-ai:test
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container_name: offerpie-ai-blue
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restart: unless-stopped
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expose:
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- "8000"
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environment:
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- APP_VERSION=blue
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- ENV=test
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- TZ=Asia/Shanghai
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8000/health/"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 20s
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volumes:
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- /logs/offerpie-ai:/app/app/logs
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deploy:
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resources:
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limits:
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memory: 2G
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cpus: '2'
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green:
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image: offerpie-ai:test
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container_name: offerpie-ai-green
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restart: unless-stopped
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expose:
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- "8000"
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environment:
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- APP_VERSION=green
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- ENV=test
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- TZ=Asia/Shanghai
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8000/health/"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 20s
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volumes:
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- /logs/offerpie-ai:/app/app/logs
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deploy:
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resources:
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limits:
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memory: 2G
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cpus: '2'
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