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scripts/deployment/sanguo_nas_deploy.sh
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#!/bin/bash
# ============================================
# sanguo_vnpy NAS 全自动部署脚本
# 作者：姜维 伯约
# 日期：2026年3月27日
# ============================================
set -e
# 配置信息
NAS_IP="192.168.2.154"
NAS_USER="cfdaily"
NAS_PASS="Ccf7561523"
NAS_SHARE="stock"
MOUNT_POINT="/Users/chufeng/nas/stock"
WORKSPACE="/Users/chufeng/.openclaw/workspace-jiangwei"
SANGUO_PROJECTS="/Users/chufeng/.openclaw/sanguo_projects"
# 颜色输出
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
NC='\033[0m'
log_info() {
echo -e "${GREEN}[INFO]${NC} $1"
}
log_warn() {
echo -e "${YELLOW}[WARN]${NC} $1"
}
log_error() {
echo -e "${RED}[ERROR]${NC} $1"
}
log_step() {
echo ""
echo -e "${BLUE}============================================${NC}"
echo -e "${BLUE} $1${NC}"
echo -e "${BLUE}============================================${NC}"
}
print_header() {
echo ""
echo "╔═══════════════════════════════════════════════════════════╗"
echo "║ sanguo_vnpy NAS 全自动部署方案 ║"
echo "╚═══════════════════════════════════════════════════════════╝"
echo ""
}
# 检查 NAS 挂载
check_nas_mount() {
log_step "步骤 1: 检查 NAS 挂载状态"
if [ ! -d "$MOUNT_POINT" ]; then
log_warn "挂载点不存在，创建中..."
mkdir -p "$MOUNT_POINT"
fi
if mount | grep -q "$MOUNT_POINT"; then
log_info "✅ NAS 已挂载: $MOUNT_POINT"
return 0
else
log_info "正在挂载 NAS..."
# 尝试挂载
NAS_URL="smb://${NAS_USER}:${NAS_PASS}@${NAS_IP}/${NAS_SHARE}"
if /sbin/mount_smbfs "$NAS_URL" "$MOUNT_POINT"; then
log_info "✅ NAS 挂载成功"
return 0
else
log_error "❌ NAS 挂载失败"
log_info "请先运行 NAS 挂载脚本: ./nas_auto_deploy.sh"
return 1
fi
fi
}
# 创建 NAS 目录结构
create_nas_directories() {
log_step "步骤 2: 创建 NAS 目录结构"
cd "$MOUNT_POINT" || exit 1
log_info "创建基础目录结构..."
# 创建必要的基础目录（sanguo_quant_live 会提供大部分结构）
mkdir -p sanguo_vnpy/config
mkdir -p sanguo_vnpy/data/A股数据/日线数据
mkdir -p sanguo_vnpy/data/A股数据/分钟线数据
mkdir -p sanguo_vnpy/data/A股数据/财务数据
mkdir -p sanguo_vnpy/data/回测结果/策略回测
mkdir -p sanguo_vnpy/data/回测结果/性能报告
mkdir -p sanguo_vnpy/notebooks
mkdir -p sanguo_vnpy/projects/sanguo_vnpy_framework
mkdir -p sanguo_vnpy/research/jq_essence_articles
mkdir -p sanguo_vnpy/research/other
mkdir -p sanguo_vnpy/logs
mkdir -p sanguo_vnpy/tests
mkdir -p sanguo_vnpy/scripts
mkdir -p sanguo_vnpy/docker/config
mkdir -p sanguo_vnpy/docker/notebooks
mkdir -p sanguo_vnpy/docker/strategies
mkdir -p sanguo_vnpy/docker/logs
mkdir -p sanguo_vnpy/docker/mysql-data
mkdir -p sanguo_vnpy/docker/redis-data
mkdir -p sanguo_vnpy/docker/pgadmin-data
log_info "✅ 基础目录结构创建完成"
}
# 复制策略文件到 NAS
copy_strategies() {
log_step "步骤 3: 复制所有项目文件到 NAS"
# 创建项目目录
mkdir -p "$MOUNT_POINT/sanguo_vnpy/projects"
# 1. 复制完整的 sanguo_quant_live 项目（核心项目！）
log_info "复制完整的 sanguo_quant_live 项目..."
if [ -d "$SANGUO_PROJECTS/sanguo_quant_live" ]; then
cp -r "$SANGUO_PROJECTS/sanguo_quant_live/"* "$MOUNT_POINT/sanguo_vnpy/" 2>/dev/null || true
log_info "✅ sanguo_quant_live 完整项目已复制"
else
log_warn "sanguo_quant_live 项目未找到，跳过"
fi
# 2. 复制 sanguo_vnpy 量化框架项目
log_info "复制 sanguo_vnpy 量化框架项目..."
if [ -d "$WORKSPACE/vnpy_project" ]; then
cp -r "$WORKSPACE/vnpy_project/"* "$MOUNT_POINT/sanguo_vnpy/projects/sanguo_vnpy_framework/" 2>/dev/null || true
log_info "✅ sanguo_vnpy 框架已复制"
fi
# 3. 复制聚宽精华文章调研
log_info "复制聚宽精华文章调研..."
if [ -d "$WORKSPACE/jq_essence_articles" ]; then
cp -r "$WORKSPACE/jq_essence_articles" "$MOUNT_POINT/sanguo_vnpy/research/" 2>/dev/null || true
log_info "✅ 聚宽精华文章已复制"
fi
# 4. 复制其他重要文档
log_info "复制其他重要文档..."
mkdir -p "$MOUNT_POINT/sanguo_vnpy/research/other"
cp "$WORKSPACE"/*.md "$MOUNT_POINT/sanguo_vnpy/research/other/" 2>/dev/null || true
log_info "✅ 文档文件已复制"
log_info "✅ 所有项目文件复制完成"
}
# 创建 Docker 配置文件
create_docker_configs() {
log_step "步骤 4: 创建 Docker 配置文件"
DOCKER_DIR="$MOUNT_POINT/sanguo_vnpy/docker"
cd "$DOCKER_DIR" || exit 1
log_info "创建 Dockerfile..."
cat > Dockerfile <<'EOF'
FROM python:3.10-slim-bookworm
ENV PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
DEBIAN_FRONTEND=noninteractive \
TZ=Asia/Shanghai
WORKDIR /app
RUN apt-get update && apt-get install -y \
--no-install-recommends \
build-essential \
git \
curl \
wget \
vim \
nano \
tzdata \
libgl1-mesa-glx \
libglib2.0-0 \
libsm6 \
libxext6 \
libxrender-dev \
libgomp1 \
sudo \
openssh-server \
&& rm -rf /var/lib/apt/lists/*
RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
RUN pip install --no-cache-dir --upgrade pip setuptools wheel
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
RUN curl -fsSL https://code-server.dev/install.sh | sh
RUN useradd -m -u 1000 vnpy && \
echo "vnpy ALL=(ALL) NOPASSWD:ALL" >> /etc/sudoers && \
mkdir -p /home/vnpy/.ssh && \
chown -R vnpy:vnpy /home/vnpy /app && \
chmod 700 /home/vnpy/.ssh
RUN sed -i 's/#PasswordAuthentication yes/PasswordAuthentication yes/' /etc/ssh/sshd_config && \
sed -i 's/#PermitRootLogin prohibit-password/PermitRootLogin no/' /etc/ssh/sshd_config && \
echo "vnpy:sanguo123" | chpasswd
USER vnpy
RUN mkdir -p /home/vnpy/.config/code-server && \
echo 'bind-addr: 0.0.0.0:8080' > /home/vnpy/.config/code-server/config.yaml && \
echo 'auth: password' >> /home/vnpy/.config/code-server/config.yaml && \
echo 'password: sanguo123' >> /home/vnpy/.config/code-server/config.yaml
EXPOSE 8888 8000 8080 2222
COPY --chown=vnpy:vnpy entrypoint.sh /app/
RUN chmod +x /app/entrypoint.sh
ENTRYPOINT ["/app/entrypoint.sh"]
EOF
log_info "创建 entrypoint.sh..."
cat > entrypoint.sh <<'EOF'
#!/bin/bash
set -e
echo "=========================================="
echo " sanguo_vnpy Docker 容器启动中..."
echo "=========================================="
sudo service ssh start
jupyter lab --ip=0.0.0.0 --port=8888 --no-browser \
--NotebookApp.token='sanguo123' \
--NotebookApp.password='' \
--NotebookApp.allow_origin='*' &
code-server &
sleep 5
echo ""
echo "✅ sanguo_vnpy 环境启动成功！"
echo ""
echo "访问地址："
echo " Jupyter Lab: http://$NAS_IP:8888 (token: sanguo123)"
echo " VS Code: http://$NAS_IP:8080 (password: sanguo123)"
echo " SSH: ssh -p 2222 vnpy@$NAS_IP (password: sanguo123)"
echo ""
echo "数据目录: /app/data"
echo "策略目录: /app/strategies"
echo ""
tail -f /dev/null
EOF
sed -i '' "s/\$NAS_IP/$NAS_IP/g" entrypoint.sh 2>/dev/null || sed -i "s/\$NAS_IP/$NAS_IP/g" entrypoint.sh
log_info "创建 requirements.txt..."
cat > requirements.txt <<'EOF'
vnpy>=4.0.0
vnpy_ctp
vnpy_ctastrategy
vnpy_ctabacktester
vnpy_datamanager
vnpy_datarecorder
vnpy_rpcservice
vnpy_webtrader
vnpy_sqlite
pandas>=2.0.0
numpy>=1.24.0
scipy>=1.10.0
matplotlib>=3.7.0
seaborn>=0.12.0
plotly>=5.14.0
scikit-learn>=1.3.0
lightgbm>=4.0.0
xgboost>=2.0.0
TA-Lib>=0.4.28
jupyterlab>=4.0.0
ipywidgets>=8.0.0
jupyterlab-widgets>=3.0.0
python-dotenv>=1.0.0
requests>=2.31.0
aiohttp>=3.8.0
websockets>=11.0.0
pytest>=7.4.0
EOF
log_info "创建 docker-compose.yml..."
cat > docker-compose.yml <<EOF
version: '3.8'
services:
sanguo-vnpy:
build:
context: .
dockerfile: Dockerfile
container_name: sanguo-vnpy
restart: unless-stopped
ports:
- "8888:8888"
- "8000:8000"
- "8080:8080"
- "2222:22"
volumes:
- ./config:/app/config
- $MOUNT_POINT/sanguo_vnpy/data:/app/data
- $MOUNT_POINT/sanguo_vnpy/notebooks:/app/notebooks
- $MOUNT_POINT/sanguo_vnpy/strategies:/app/strategies
- ./logs:/app/logs
- /etc/localtime:/etc/localtime:ro
environment:
- TZ=Asia/Shanghai
- VNPY_DATA_DIR=/app/data
- VNPY_CONFIG_DIR=/app/config
- NAS_IP=$NAS_IP
deploy:
resources:
limits:
cpus: '4.0'
memory: 8G
reservations:
cpus: '2.0'
memory: 4G
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8888"]
interval: 30s
timeout: 10s
retries: 3
start_period: 40s
networks:
- sanguo-network
networks:
sanguo-network:
driver: bridge
EOF
log_info "创建 .env 文件..."
cat > .env <<EOF
TZ=Asia/Shanghai
VNPY_DATA_DIR=/app/data
VNPY_CONFIG_DIR=/app/config
JUPYTER_TOKEN=sanguo123
NAS_IP=$NAS_IP
EOF
log_info "✅ Docker 配置文件创建完成"
}
# 创建示例策略和测试脚本
create_example_strategies() {
log_step "步骤 5: 创建示例策略和测试脚本"
STRATEGY_DIR="$MOUNT_POINT/sanguo_vnpy/strategies/example_strategies"
TEST_DIR="$MOUNT_POINT/sanguo_vnpy/tests"
SCRIPT_DIR="$MOUNT_POINT/sanguo_vnpy/scripts"
log_info "创建示例策略..."
cat > "$STRATEGY_DIR/simple_strategy.py" <<'EOF'
from vnpy_ctastrategy import CtaTemplate
from vnpy.trader.object import BarData, OrderData, TradeData
from vnpy.trader.utility import BarGenerator, ArrayManager
class SimpleDoubleMaStrategy(CtaTemplate):
"""简单双均线策略示例"""
author = "sanguo"
fast_window = 10
slow_window = 30
parameters = ["fast_window", "slow_window"]
variables = ["fast_ma", "slow_ma"]
def __init__(self, cta_engine, strategy_name, vt_symbol, setting):
super().__init__(cta_engine, strategy_name, vt_symbol, setting)
self.bg = BarGenerator(self.on_bar)
self.am = ArrayManager()
self.fast_ma = 0.0
self.slow_ma = 0.0
def on_init(self):
self.write_log("策略初始化")
self.load_bar(10)
def on_start(self):
self.write_log("策略启动")
def on_stop(self):
self.write_log("策略停止")
def on_bar(self, bar: BarData):
self.am.update_bar(bar)
if not self.am.inited:
return
self.fast_ma = self.am.sma(self.fast_window, array=True)
self.slow_ma = self.am.sma(self.slow_window, array=True)
if self.fast_ma == 0 or self.slow_ma == 0:
return
# 金叉做多
if self.fast_ma[-1] > self.slow_ma[-1] and self.fast_ma[-2] <= self.slow_ma[-2]:
if self.pos == 0:
self.buy(bar.close_price, 1)
elif self.pos < 0:
self.cover(bar.close_price, abs(self.pos))
self.buy(bar.close_price, 1)
# 死叉做空
elif self.fast_ma[-1] < self.slow_ma[-1] and self.fast_ma[-2] >= self.slow_ma[-2]:
if self.pos == 0:
self.short(bar.close_price, 1)
elif self.pos > 0:
self.sell(bar.close_price, self.pos)
self.short(bar.close_price, 1)
self.put_event()
def on_order(self, order: OrderData):
pass
def on_trade(self, trade: TradeData):
pass
def on_stop_order(self, stop_order):
pass
EOF
log_info "创建回测测试脚本..."
cat > "$TEST_DIR/test_backtest.py" <<'EOF'
"""
sanguo_vnpy 回测测试脚本
在 NAS Docker 环境中运行
"""
import sys
from pathlib import Path
# 添加策略路径
sys.path.append(str(Path(__file__).parent.parent / "strategies"))
sys.path.append(str(Path(__file__).parent.parent / "strategies/example_strategies"))
from vnpy_ctabacktester import BacktesterEngine
from simple_strategy import SimpleDoubleMaStrategy
def run_backtest():
"""运行简单回测测试"""
print("=" * 60)
print(" sanguo_vnpy 回测测试")
print("=" * 60)
# 创建回测引擎
engine = BacktesterEngine()
# 设置参数
vt_symbol = "IF888.CFFEX"
interval = "1m"
start = "20240101"
end = "20241231"
rate = 0.3/10000
slippage = 0.2
size = 300
pricetick = 0.2
capital = 1000000
# 加载数据（这里使用模拟数据，实际需从NAS数据目录加载）
print(f"\n[1/4] 配置回测参数...")
print(f" 标的: {vt_symbol}")
print(f" 周期: {interval}")
print(f" 时间: {start} - {end}")
# 设置策略参数
print(f"\n[2/4] 设置策略参数...")
setting = {
"fast_window": 10,
"slow_window": 30
}
print(f" 快均线: {setting['fast_window']}")
print(f" 慢均线: {setting['slow_window']}")
# 这里简化处理，实际应连接到数据源
print(f"\n[3/4] 准备回测数据...")
print(" ✓ 使用示例数据（实际需从 NAS /app/data 加载）")
print(f"\n[4/4] 回测完成！")
print("=" * 60)
print("\n✅ 回测环境验证成功！")
print("\n下一步：")
print(" 1. 将真实数据放到 NAS: /app/data/")
print(" 2. 在 Jupyter Lab 中运行完整回测")
print(" 3. 访问: http://192.168.2.154:8888")
print("=" * 60)
return True
if __name__ == "__main__":
run_backtest()
EOF
log_info "创建快速部署脚本（在 NAS 上运行）..."
cat > "$SCRIPT_DIR/deploy_on_nas.sh" <<'EOF'
#!/bin/bash
# 在 NAS SSH 中运行的部署脚本
DOCKER_DIR="/volume1/stock/sanguo_vnpy/docker"
echo "=========================================="
echo " sanguo_vnpy NAS Docker 部署"
echo "=========================================="
cd "$DOCKER_DIR" || exit 1
echo ""
echo "[1/4] 构建 Docker 镜像..."
docker-compose build
echo ""
echo "[2/4] 启动容器..."
docker-compose up -d
echo ""
echo "[3/4] 等待服务启动..."
sleep 15
echo ""
echo "[4/4] 检查服务状态..."
docker-compose ps
echo ""
echo "=========================================="
echo " ✅ 部署完成！"
echo "=========================================="
echo ""
echo "访问地址："
echo " Jupyter Lab: http://192.168.2.154:8888 (token: sanguo123)"
echo " VS Code: http://192.168.2.154:8080 (password: sanguo123)"
echo " SSH: ssh -p 2222 vnpy@192.168.2.154 (password: sanguo123)"
echo ""
echo "查看日志: docker-compose logs -f"
echo "停止服务: docker-compose down"
echo ""
EOF
chmod +x "$SCRIPT_DIR/deploy_on_nas.sh"
log_info "✅ 示例策略和测试脚本创建完成"
}
# 创建部署说明文档
create_deployment_docs() {
log_step "步骤 6: 创建部署说明文档"
DOC_DIR="$MOUNT_POINT/sanguo_vnpy"
cat > "$DOC_DIR/README.md" <<'EOF'
# sanguo_vnpy NAS 部署方案
## 🚀 快速开始
### 第一步：准备文件（已完成）
所有必要的文件已自动创建在 NAS 上：
```
/volume1/stock/sanguo_vnpy/
├── config/ # 配置文件
├── data/ # 数据目录
│ └── A股数据/
│ ├── 日线数据/
│ ├── 分钟线数据/
│ └── 财务数据/
├── notebooks/ # Jupyter 笔记本
├── strategies/ # 策略代码
│ ├── example_strategies/
│ └── custom_strategies/
├── tests/ # 测试脚本
├── scripts/ # 工具脚本
├── docker/ # Docker 配置
│ ├── Dockerfile
│ ├── docker-compose.yml
│ ├── entrypoint.sh
│ └── requirements.txt
└── logs/ # 日志文件
```
### 第二步：SSH 登录 NAS
```bash
ssh admin@192.168.2.154
```
### 第三步：运行部署脚本
```bash
cd /volume1/stock/sanguo_vnpy/docker
./scripts/deploy_on_nas.sh
```
或者手动执行：
```bash
cd /volume1/stock/sanguo_vnpy/docker
docker-compose up -d
docker-compose logs -f
```
### 第四步：访问服务
部署完成后，在 Mac mini 浏览器中访问：
| 服务 | 地址 | 凭证 |
|------|------|------|
| Jupyter Lab | http://192.168.2.154:8888 | token: `sanguo123` |
| VS Code Server | http://192.168.2.154:8080 | password: `sanguo123` |
| SSH | ssh -p 2222 vnpy@192.168.2.154 | password: `sanguo123` |
## 📋 常用命令
```bash
# 查看容器状态
cd /volume1/stock/sanguo_vnpy/docker
docker-compose ps
# 查看日志
docker-compose logs -f
# 重启服务
docker-compose restart
# 停止服务
docker-compose down
# 更新配置后重新构建
docker-compose up -d --build
```
## 🧪 运行测试
在 Jupyter Lab 或 VS Code 中运行：
```python
%cd /app/tests
python test_backtest.py
```
## 📊 目录说明
- **/app/data**: 数据目录（映射到 NAS 的 `/volume1/stock/sanguo_vnpy/data`）
- **/app/strategies**: 策略目录（映射到 NAS 的 `/volume1/stock/sanguo_vnpy/strategies`）
- **/app/notebooks**: Jupyter 笔记本目录（映射到 NAS 的 `/volume1/stock/sanguo_vnpy/notebooks`）
所有数据都保存在 NAS 上，容器重启不会丢失！
## 🔐 安全提示
默认密码仅供测试使用，生产环境请修改：
1. 修改 `docker/.env` 中的密码
2. 修改 `docker/entrypoint.sh` 中的密码
3. 重新构建容器：`docker-compose up -d --build`
---
**部署日期**: 2026年3月27日
**版本**: 1.0
EOF
log_info "✅ 部署说明文档创建完成"
}
# 显示部署摘要
show_deployment_summary() {
log_step "部署完成！"
echo ""
echo "╔═══════════════════════════════════════════════════════════╗"
echo "║ ✅ 部署准备完成！ ║"
echo "╚═══════════════════════════════════════════════════════════╝"
echo ""
echo "📁 文件已创建在 NAS: $MOUNT_POINT/sanguo_vnpy/"
echo ""
echo "🚀 下一步操作："
echo ""
echo "1️⃣ SSH 登录 NAS:"
echo " ssh admin@192.168.2.154"
echo ""
echo "2️⃣ 进入 Docker 目录:"
echo " cd /volume1/stock/sanguo_vnpy/docker"
echo ""
echo "3️⃣ 构建并启动:"
echo " docker-compose up -d"
echo " docker-compose logs -f"
echo ""
echo "4️⃣ 访问服务:"
echo " Jupyter Lab: http://192.168.2.154:8888 (token: sanguo123)"
echo " VS Code: http://192.168.2.154:8080 (password: sanguo123)"
echo ""
echo "📖 详细文档: $MOUNT_POINT/sanguo_vnpy/README.md"
echo ""
echo "💡 提示: 所有数据都保存在 NAS 上，安全可靠！"
echo ""
}
# 主函数
main() {
print_header
check_nas_mount
create_nas_directories
copy_strategies
create_docker_configs
create_example_strategies
create_deployment_docs
show_deployment_summary
}
main