58 lines
1.4 KiB
Bash
58 lines
1.4 KiB
Bash
#!/bin/bash
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# 铸渊编程AI · 部署脚本
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# 目标服务器: BS-SG-001 (43.156.237.110)
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# 运行方式: bash deploy/deploy.sh
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set -e
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REPO_DIR="/opt/guanghulab-repo"
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AGENT_DIR="$REPO_DIR/zhuyuan-agent"
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LOG_DIR="$REPO_DIR/logs"
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echo "=== 铸渊编程AI · 部署开始 ==="
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echo "目标: $AGENT_DIR"
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# 1. 确保目录存在
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mkdir -p "$AGENT_DIR" "$LOG_DIR"
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# 2. 安装 Python 依赖
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echo ">>> 安装 Python 依赖..."
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cd "$AGENT_DIR"
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pip3 install -r requirements.txt --quiet 2>&1 | tail -3
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# 3. 检查 .env 配置
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if [ ! -f "$AGENT_DIR/.env" ]; then
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echo "⚠️ 未找到 .env 文件，从模板创建..."
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cp config/.env.template .env
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echo "❗ 请编辑 $AGENT_DIR/.env 填入 API 密钥后重新运行"
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exit 1
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fi
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# 4. 导出环境变量
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set -a
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source "$AGENT_DIR/.env"
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set +a
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# 5. 初始化 HLDP 数据库
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echo ">>> 初始化 HLDP 数据库..."
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python3.11 -c "
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from core.hldp_memory import HLDPMemoryEngine
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mem = HLDPMemoryEngine('$HLDP_DB_PATH', '$REPO_PATH')
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walk = mem.wake('D112', 1)
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print(f' 人格体: {walk[\"identity\"][\"name\"]}')
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print(f' 纪元: {walk[\"identity\"][\"epoch\"]}')
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print(f' 状态: {walk[\"status\"]}')
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mem.close()
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"
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# 6. 启动 PM2 服务
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echo ">>> 启动 PM2 服务..."
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pm2 start deploy/pm2-zhuyuan-agent.json
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pm2 save
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echo ""
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echo "=== 部署完成 ==="
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echo "服务端口: ${SERVER_PORT:-3912}"
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echo "状态检查: pm2 status zhuyuan-agent"
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echo "健康检查: curl http://localhost:${SERVER_PORT:-3912}/health"
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