116 lines
3.3 KiB
Bash
116 lines
3.3 KiB
Bash
#!/bin/bash
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# 运行量化+LLM分析（可控制Gate）
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#
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# 用法:
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# ./run_analysis.sh # 使用Gate（智能过滤）
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# ./run_analysis.sh --no-gate # 强制调用LLM（绕过Gate）
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# ./run_analysis.sh --help # 显示帮助
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set -e
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# 颜色定义
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GREEN='\033[0;32m'
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BLUE='\033[0;34m'
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YELLOW='\033[1;33m'
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NC='\033[0m' # No Color
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# 显示帮助
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show_help() {
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echo "📊 交易信号分析工具"
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echo ""
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echo "用法:"
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echo " ./run_analysis.sh [选项]"
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echo ""
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echo "选项:"
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echo " --no-gate, -n 强制调用LLM（绕过Gate，每次都分析）"
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echo " --gate, -g 使用Gate（默认，智能过滤低质量信号）"
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echo " --help, -h 显示此帮助信息"
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echo ""
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echo "示例:"
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echo " ./run_analysis.sh # 智能模式（推荐）"
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echo " ./run_analysis.sh --no-gate # 强制LLM分析"
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echo ""
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echo "说明:"
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echo " • Gate模式: 只有综合得分≥5.0的信号才会调用LLM（节省成本）"
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echo " • No-Gate模式: 每次都调用LLM（适合测试或重要行情）"
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exit 0
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}
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# 解析参数
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USE_GATE=true
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if [ $# -gt 0 ]; then
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case "$1" in
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--no-gate|-n)
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USE_GATE=false
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;;
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--gate|-g)
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USE_GATE=true
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;;
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--help|-h)
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show_help
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;;
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*)
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echo "❌ 未知参数: $1"
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echo "使用 --help 查看帮助"
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exit 1
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;;
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esac
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fi
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# 显示运行模式
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echo -e "${BLUE}🚀 开始生成交易信号...${NC}"
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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if [ "$USE_GATE" = false ]; then
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echo -e "${YELLOW}⚠️ 模式: 强制LLM分析（绕过Gate）${NC}"
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echo " 每次都会调用 DeepSeek AI"
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else
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echo -e "${GREEN}✅ 模式: 智能Gate（推荐）${NC}"
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echo " 只有高质量信号才会调用 LLM"
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fi
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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echo ""
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# 检查 scheduler 容器是否运行
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if ! docker compose ps scheduler 2>/dev/null | grep -q "running"; then
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echo -e "${YELLOW}⚠️ scheduler 容器未运行，正在启动...${NC}"
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docker compose --profile scheduler up -d
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echo "⏳ 等待服务就绪..."
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sleep 5
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fi
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# 运行分析
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if [ "$USE_GATE" = false ]; then
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# 绕过Gate：临时设置极低阈值
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docker compose exec scheduler python -c "
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import os
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os.environ['LLM_MIN_COMPOSITE_SCORE'] = '0.0' # 绕过Gate
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# 运行分析
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import sys
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sys.path.insert(0, '/app')
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from scripts.generate_trading_signal import main
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main()
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"
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else
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# 正常使用Gate
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docker compose exec scheduler python /app/scripts/generate_trading_signal.py
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fi
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echo ""
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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echo -e "${GREEN}✅ 信号生成完成！${NC}"
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echo ""
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echo "📊 查看结果:"
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echo " ./view_signal.sh"
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echo " cat output/latest_signal.json | python -m json.tool"
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echo ""
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echo "📱 钉钉通知:"
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if docker compose logs scheduler --tail 20 | grep -q "钉钉消息发送成功"; then
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echo -e " ${GREEN}✅ 已发送${NC}"
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else
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echo -e " ${YELLOW}⚠️ 未发送（可能是HOLD信号）${NC}"
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fi
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