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构建并部署 AI Agent 服务 / deploy (push) Successful in 27s

This commit is contained in:
2026-04-14 17:34:12 +08:00
parent 1bea2491c5
commit 8dd94c6c19
12 changed files with 953 additions and 197 deletions

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@@ -1,7 +1,8 @@
#!/bin/bash
# AI Agent 启动脚本
# 用法: ./start.sh [backend|frontend|both]
# =============================================================================
# AI Agent 启动与管理脚本
# 用法: ./start.sh [check|backend|frontend|both|docker-up|docker-down]
# =============================================================================
set -e
@@ -12,100 +13,296 @@ RED='\033[0;31m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color
# 项目根目录
PROJECT_DIR="/home/huang/Study/AIProject/Agent1"
echo -e "${BLUE}========================================${NC}"
echo -e "${BLUE} AI Agent - 个人生活助手启动脚本${NC}"
echo -e "${BLUE} AI Agent - 个人生活助手${NC}"
echo -e "${BLUE}========================================${NC}"
echo ""
# 检查 vLLM 容器是否运行
check_vllm() {
if ! docker ps --format '{{.Names}}' | grep -q "^gemma4-server$"; then
echo -e "${YELLOW}⚠️ vLLM 容器未运行!${NC}"
echo "正在启动 vLLM 容器Gemma-4 模型)..."
# =============================================================================
# 配置检查函数
# =============================================================================
check_config() {
echo -e "${BLUE}📋 开始环境配置检查...${NC}"
echo ""
PASS=0
FAIL=0
WARN=0
# 辅助函数
check_pass() {
echo -e "${GREEN}${NC} $1"
((PASS++))
}
check_fail() {
echo -e "${RED}${NC} $1"
((FAIL++))
}
check_warn() {
echo -e "${YELLOW}${NC} $1"
((WARN++))
}
# 1. 检查 .env 文件
echo "🔍 检查配置文件..."
if [ -f "$PROJECT_DIR/.env" ]; then
check_pass ".env 文件存在"
# 检查模型文件是否存在
if [ ! -d "/home/huang/Study/AIModel/gemma-4-E2B-it" ]; then
echo -e "${RED}✗ 错误:模型目录不存在: /home/huang/Study/AIModel/gemma-4-E2B-it${NC}"
echo "请先下载模型或修改模型路径"
exit 1
# 检查文件格式
if grep -q "^EOF" .env 2>/dev/null; then
check_fail ".env 文件格式错误:发现多余的 EOF 标记"
else
check_pass ".env 文件格式正确"
fi
docker run -d \
--name gemma4-server \
--group-add=video \
--cap-add=SYS_PTRACE \
--security-opt seccomp=unconfined \
--device=/dev/kfd \
--device=/dev/dri \
-v /home/huang/Study/AIModel/gemma-4-E2B-it:/models/gemma-4-E2B-it \
-e VLLM_ROCM_USE_AITER=0 \
-e HF_TOKEN="${HF_TOKEN}" \
-p 8000:8000 \
--ipc=host \
--entrypoint vllm \
my-vllm-gemma4:working \
serve /models/gemma-4-E2B-it \
--served-model-name gemma-4-E2B-it \
--dtype auto \
--api-key token-abc123 \
--trust-remote-code \
--port 8000 \
--gpu-memory-utilization 0.85 \
--max-model-len 8192
echo -e "${GREEN}✓ vLLM 容器已启动${NC}"
echo -e "${YELLOW}⏳ 等待模型加载(可能需要几分钟)...${NC}"
sleep 10
else
echo -e "${GREEN}✓ vLLM 容器正在运行${NC}"
check_fail ".env 文件不存在"
echo " 提示: 请创建 .env 文件并配置环境变量"
return 1
fi
# 2. 检查必需的环境变量
echo ""
echo "🔑 检查环境变量..."
# 检查 ZHIPUAI_API_KEY
if grep -q "^ZHIPUAI_API_KEY=" "$PROJECT_DIR/.env" 2>/dev/null; then
API_KEY=$(grep "^ZHIPUAI_API_KEY=" "$PROJECT_DIR/.env" | head -1 | cut -d'=' -f2- | tr -d '[:space:]')
if [ ${#API_KEY} -gt 10 ]; then
check_pass "ZHIPUAI_API_KEY 已配置(长度: ${#API_KEY}"
else
check_fail "ZHIPUAI_API_KEY 配置可能无效(过短)"
fi
else
check_fail "ZHIPUAI_API_KEY 未配置或格式错误"
fi
# 检查 VLLM_LOCAL_KEY
if grep -q "^VLLM_LOCAL_KEY=" "$PROJECT_DIR/.env" 2>/dev/null; then
check_pass "VLLM_LOCAL_KEY 已配置"
else
check_warn "VLLM_LOCAL_KEY 未配置(如不使用本地模型可忽略)"
fi
# 检查 DB_URI
if grep -q "^DB_URI=" "$PROJECT_DIR/.env" 2>/dev/null; then
check_pass "DB_URI 已配置"
else
check_warn "DB_URI 未配置(将使用默认值)"
fi
# 3. 检查 Docker 环境
echo ""
echo "🐳 检查 Docker 环境..."
if command -v docker &> /dev/null; then
check_pass "Docker 已安装"
if docker info &> /dev/null; then
check_pass "Docker 守护进程正在运行"
else
check_fail "Docker 守护进程未运行"
echo " 提示: sudo systemctl start docker"
fi
else
check_fail "Docker 未安装"
fi
if command -v docker compose version &> /dev/null || command -v docker-compose &> /dev/null; then
check_pass "Docker Compose 已安装"
else
check_fail "Docker Compose 未安装"
fi
# 4. 检查端口占用
echo ""
echo "🔌 检查端口占用..."
for port in 8001 8501; do
if lsof -i :$port &> /dev/null; then
check_warn "端口 $port 已被占用"
else
check_pass "端口 $port 可用"
fi
done
# 总结
echo ""
echo "=========================================="
echo " 检查结果汇总"
echo "=========================================="
echo -e "${GREEN}通过: $PASS${NC}"
echo -e "${RED}失败: $FAIL${NC}"
echo -e "${YELLOW}警告: $WARN${NC}"
echo ""
if [ $FAIL -eq 0 ]; then
echo -e "${GREEN}✅ 配置检查通过!${NC}"
return 0
else
echo -e "${RED}❌ 发现 $FAIL 个错误,请修复后重试${NC}"
return 1
fi
}
# =============================================================================
# Docker 容器检查函数
# =============================================================================
check_vllm() {
echo -e "${BLUE}🔍 检查 vLLM 容器...${NC}"
if ! docker ps --format '{{.Names}}' | grep -q "^gemma4-server$"; then
echo -e "${YELLOW}⚠️ vLLM 容器未运行${NC}"
return 1
else
echo -e "${GREEN}✓ vLLM 容器正在运行 (gemma4-server)${NC}"
return 0
fi
}
# 检查 PostgreSQL 容器是否运行
check_postgres() {
if ! docker ps | grep -q postgres-langgraph; then
echo -e "${YELLOW}⚠️ PostgreSQL 容器未运行!${NC}"
echo "正在启动 PostgreSQL 容器..."
docker run -d \
--name postgres-langgraph \
-e POSTGRES_PASSWORD=mysecretpassword \
-e POSTGRES_DB=langgraph_db \
-p 5432:5432 \
-v ~/docker_volumes/postgres_data:/var/lib/postgresql/data \
postgres:16
echo -e "${GREEN}✓ PostgreSQL 容器已启动${NC}"
sleep 3
echo -e "${BLUE}🔍 检查 PostgreSQL 容器...${NC}"
if ! docker ps --format '{{.Names}}' | grep -q "^postgres-langgraph$"; then
echo -e "${YELLOW}⚠️ PostgreSQL 容器未运行${NC}"
return 1
else
echo -e "${GREEN}✓ PostgreSQL 容器正在运行${NC}"
echo -e "${GREEN}✓ PostgreSQL 容器正在运行 (postgres-langgraph)${NC}"
return 0
fi
}
# 启动后端
# =============================================================================
# 启动 Docker 依赖服务
# =============================================================================
start_vllm() {
echo -e "${BLUE}🚀 启动 vLLM 容器...${NC}"
# 检查模型文件
if [ ! -d "/home/huang/Study/AIModel/gemma-4-E2B-it" ]; then
echo -e "${RED}✗ 错误:模型目录不存在: /home/huang/Study/AIModel/gemma-4-E2B-it${NC}"
exit 1
fi
docker run -d \
--name gemma4-server \
--group-add=video \
--cap-add=SYS_PTRACE \
--security-opt seccomp=unconfined \
--device=/dev/kfd \
--device=/dev/dri \
-v /home/huang/Study/AIModel/gemma-4-E2B-it:/models/gemma-4-E2B-it \
-e VLLM_ROCM_USE_AITER=0 \
-e HF_TOKEN="${HF_TOKEN:-}" \
-p 8000:8000 \
--ipc=host \
--entrypoint vllm \
my-vllm-gemma4:working \
serve /models/gemma-4-E2B-it \
--served-model-name gemma-4-E2B-it \
--dtype auto \
--api-key token-abc123 \
--trust-remote-code \
--port 8000 \
--gpu-memory-utilization 0.85 \
--max-model-len 8192
echo -e "${GREEN}✓ vLLM 容器已启动${NC}"
echo -e "${YELLOW}⏳ 等待模型加载(可能需要几分钟)...${NC}"
sleep 10
}
start_postgres() {
echo -e "${BLUE}🚀 启动 PostgreSQL 容器...${NC}"
docker run -d \
--name postgres-langgraph \
-e POSTGRES_PASSWORD=mysecretpassword \
-e POSTGRES_DB=langgraph_db \
-p 5432:5432 \
-v ~/docker_volumes/postgres_data:/var/lib/postgresql/data \
postgres:16
echo -e "${GREEN}✓ PostgreSQL 容器已启动${NC}"
sleep 3
}
# =============================================================================
# 启动 Python 服务
# =============================================================================
start_backend() {
echo -e "\n${BLUE}🚀 启动后端服务 (端口 8001)...${NC}"
cd /home/huang/Study/AIProject/Agent1
export PYTHONPATH=$(pwd)
cd "$PROJECT_DIR"
# 加载 .env 文件中的环境变量
set -a
source .env 2>/dev/null || true
set +a
export PYTHONPATH="$PROJECT_DIR"
python app/backend.py &
BACKEND_PID=$!
echo -e "${GREEN}✓ 后端服务已启动 (PID: $BACKEND_PID)${NC}"
sleep 2
}
# 启动前端
start_frontend() {
echo -e "\n${BLUE}🎨 启动前端界面...${NC}"
cd /home/huang/Study/AIProject/Agent1
export PYTHONPATH=$(pwd)
echo -e "\n${BLUE}🎨 启动前端界面 (端口 8501)...${NC}"
cd "$PROJECT_DIR"
# 加载 .env 文件中的环境变量
set -a
source .env 2>/dev/null || true
set +a
export PYTHONPATH="$PROJECT_DIR"
streamlit run frontend/frontend.py &
FRONTEND_PID=$!
echo -e "${GREEN}✓ 前端服务已启动 (PID: $FRONTEND_PID)${NC}"
echo -e "${GREEN}请在浏览器中打开: http://localhost:8501本地开发或 http://your-domain.comNginx 代理)${NC}"
echo -e "${GREEN}访问地址:${NC}"
echo -e " 本地开发: http://localhost:8501"
echo -e " Nginx代理: http://your-domain.com"
}
# =============================================================================
# Docker Compose 管理
# =============================================================================
docker_up() {
echo -e "${BLUE}🐳 使用 Docker Compose 启动所有服务...${NC}"
cd "$PROJECT_DIR"
# 检查 .env 文件
if [ ! -f ".env" ]; then
echo -e "${RED}✗ 错误:.env 文件不存在${NC}"
echo " 请先复制配置文件:"
echo " cp .env.docker .env # 服务器部署"
echo " 或"
echo " cp .env.local .env # 本地开发"
exit 1
fi
docker compose -f docker/docker-compose.yml up -d --build
echo -e "\n${GREEN}✓ Docker Compose 服务已启动${NC}"
echo -e "${BLUE}📊 查看服务状态:${NC} docker compose -f docker/docker-compose.yml ps"
echo -e "${BLUE}📝 查看日志:${NC} docker compose -f docker/docker-compose.yml logs -f"
echo -e "${BLUE}🌐 访问应用:${NC} http://localhost:8501"
}
docker_down() {
echo -e "${BLUE}🛑 停止 Docker Compose 服务...${NC}"
cd "$PROJECT_DIR"
docker compose -f docker/docker-compose.yml down
echo -e "${GREEN}✓ 服务已停止${NC}"
}
# =============================================================================
# 清理函数
# =============================================================================
cleanup() {
echo -e "\n${RED}🛑 正在停止所有服务...${NC}"
echo -e "\n${RED}🛑 正在停止 Python 服务...${NC}"
if [ ! -z "$BACKEND_PID" ]; then
kill $BACKEND_PID 2>/dev/null || true
echo -e "${GREEN}✓ 后端服务已停止${NC}"
@@ -117,33 +314,72 @@ cleanup() {
echo -e "${YELLOW}💡 提示Docker 容器需要手动停止${NC}"
echo -e " 停止 vLLM: docker stop gemma4-server"
echo -e " 停止 PostgreSQL: docker stop postgres-langgraph"
echo -e " 或使用: $0 docker-down"
exit 0
}
# 捕获 Ctrl+C
trap cleanup SIGINT SIGTERM
# =============================================================================
# 主逻辑
case "${1:-both}" in
# =============================================================================
case "${1:-help}" in
check)
check_config
;;
backend)
check_vllm
check_postgres
check_config || exit 1
check_vllm || start_vllm
check_postgres || start_postgres
start_backend
echo -e "\n${GREEN}后端服务正在运行,按 Ctrl+C 停止${NC}"
wait $BACKEND_PID
;;
frontend)
check_config || exit 1
start_frontend
echo -e "\n${GREEN}前端服务正在运行,按 Ctrl+C 停止${NC}"
wait $FRONTEND_PID
;;
both|*)
check_vllm
check_postgres
both)
check_config || exit 1
check_vllm || start_vllm
check_postgres || start_postgres
start_backend
start_frontend
echo -e "\n${GREEN}所有服务正在运行,按 Ctrl+C 停止 Python 服务${NC}"
echo -e "${YELLOW}注意Docker 容器会在后台继续运行${NC}"
wait
;;
docker-up)
check_config || exit 1
docker_up
;;
docker-down)
docker_down
;;
help|*)
echo -e "${BLUE}用法:${NC} $0 [command]"
echo ""
echo -e "${BLUE}命令:${NC}"
echo " check 检查环境配置"
echo " backend 仅启动后端服务"
echo " frontend 仅启动前端服务"
echo " both 启动前后端服务(默认)"
echo " docker-up 使用 Docker Compose 启动所有服务"
echo " docker-down 停止 Docker Compose 服务"
echo " help 显示此帮助信息"
echo ""
echo -e "${BLUE}示例:${NC}"
echo " $0 check # 检查配置"
echo " $0 both # 启动本地开发环境"
echo " $0 docker-up # 启动 Docker 部署环境"
;;
esac