zhanggangyong
d25f43e25b
- 添加 XMind OpenAI 兼容模型（11个模型） - 添加 XMind Anthropic 兼容模型（5个模型） - 添加 XMind Vertex AI 兼容模型（3个模型，使用 OpenAI 格式） - 更新 deploy.sh 支持 XMind API 密钥环境变量 - 添加 build-and-push.sh 脚本用于构建和推送 Docker 镜像 - 更新 README.md 文档说明
65 lines
1.8 KiB
Bash
Executable File
65 lines
1.8 KiB
Bash
Executable File
#!/bin/bash
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# 快速构建并推送镜像到 Azure Container Registry
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# 使用方法: ./build-and-push.sh [tag]
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set -e
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# 加载环境变量
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if [ -f .env ]; then
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export $(cat .env | grep -v '^#' | xargs)
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fi
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# 配置
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ACR_SERVER="${ACR_SERVER:-agnettaiji.azurecr.io}"
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ACR_USERNAME="${ACR_USERNAME:-agnettaiji}"
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IMAGE_NAME="${IMAGE_NAME:-litellm}"
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# 如果没有提供标签，使用时间戳格式: vYYYYMMDDHHMMSS
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if [ -z "$1" ]; then
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IMAGE_TAG="v$(date +%Y%m%d%H%M%S)"
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else
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IMAGE_TAG="$1"
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fi
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FULL_IMAGE_NAME="${ACR_SERVER}/${IMAGE_NAME}:${IMAGE_TAG}"
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echo "=========================================="
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echo "构建并推送 Docker 镜像到 ACR"
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echo "=========================================="
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echo "镜像名称: ${FULL_IMAGE_NAME}"
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echo ""
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# 检查 ACR 密码
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if [ -z "$ACR_PASSWORD" ]; then
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echo "错误: 未设置 ACR_PASSWORD 环境变量"
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echo "请设置 ACR_PASSWORD 或创建 .env 文件"
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exit 1
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fi
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# 构建镜像（同时打 latest 标签，方便快速引用）
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echo "步骤 1/2: 构建 Docker 镜像..."
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docker build -t "${FULL_IMAGE_NAME}" -t "${ACR_SERVER}/${IMAGE_NAME}:latest" .
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# 登录 ACR
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echo ""
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echo "步骤 2/2: 推送镜像到 ACR..."
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echo "${ACR_PASSWORD}" | docker login "${ACR_SERVER}" -u "${ACR_USERNAME}" --password-stdin
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# 推送镜像（推送带版本号的标签和 latest 标签）
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docker push "${FULL_IMAGE_NAME}"
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docker push "${ACR_SERVER}/${IMAGE_NAME}:latest"
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echo ""
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echo "=========================================="
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echo "完成！镜像已推送到: ${FULL_IMAGE_NAME}"
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echo "同时更新了 latest 标签: ${ACR_SERVER}/${IMAGE_NAME}:latest"
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echo "=========================================="
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echo ""
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echo "镜像标签: ${IMAGE_TAG}"
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echo ""
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echo "下一步: 运行以下命令部署应用:"
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echo " ./deploy.sh update"
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echo ""
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echo "或者运行完整部署:"
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echo " ./deploy.sh deploy"
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