73 lines
2.4 KiB
Bash
Executable File
73 lines
2.4 KiB
Bash
Executable File
#!/bin/bash
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# AI集成测试脚本
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echo "🔍 开始AI集成测试..."
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# 检查Ollama服务状态
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echo "📡 检查Ollama服务状态..."
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OLLAMA_STATUS=$(curl -s -o /dev/null -w "%{http_code}" http://192.168.1.83:11434/api/tags)
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if [ "$OLLAMA_STATUS" = "200" ]; then
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echo "✅ Ollama服务运行正常 (HTTP $OLLAMA_STATUS)"
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else
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echo "❌ Ollama服务连接失败 (HTTP $OLLAMA_STATUS)"
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exit 1
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fi
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# 检查健康模型是否存在
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echo "🧠 检查ljwx-health-enhanced模型..."
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MODEL_EXISTS=$(curl -s http://192.168.1.83:11434/api/tags | grep -c "ljwx-health-enhanced:latest")
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if [ "$MODEL_EXISTS" -gt 0 ]; then
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echo "✅ ljwx-health-enhanced:latest 模型已加载"
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else
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echo "❌ ljwx-health-enhanced:latest 模型未找到"
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echo "📋 可用模型列表:"
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curl -s http://192.168.1.83:11434/api/tags | python3 -c "import sys, json; models = json.load(sys.stdin)['models']; [print(f' - {m[\"name\"]}') for m in models]"
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exit 1
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fi
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# 测试模型响应
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echo "🧪 测试模型响应..."
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RESP=$(curl -s -X POST http://192.168.1.83:11434/api/generate \
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-H "Content-Type: application/json" \
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-d '{
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"model": "ljwx-health-enhanced:latest",
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"prompt": "简单回答：你好",
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"stream": false
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}')
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if echo "$RESP" | grep -q '"done":true'; then
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echo "✅ 模型响应正常"
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RESPONSE_TEXT=$(echo "$RESP" | python3 -c "import sys, json; print(json.load(sys.stdin)['response'][:100] + '...')")
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echo "📝 响应内容: $RESPONSE_TEXT"
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else
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echo "❌ 模型响应异常"
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echo "🔍 错误详情: $RESP"
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exit 1
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fi
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# 检查ljwx-boot是否运行
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echo "🚀 检查ljwx-boot服务..."
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if pgrep -f "ljwx-boot" > /dev/null; then
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echo "✅ ljwx-boot服务正在运行"
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BOOT_PID=$(pgrep -f "ljwx-boot")
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echo "📋 进程ID: $BOOT_PID"
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else
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echo "⚠️ ljwx-boot服务未运行"
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echo "💡 请使用以下命令启动服务:"
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echo " cd ljwx-boot && ./run-local.sh start"
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fi
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echo ""
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echo "🎉 AI集成测试完成！"
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echo ""
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echo "📖 使用说明:"
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echo "1. 确保ljwx-boot服务运行: cd ljwx-boot && ./run-local.sh start"
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echo "2. 启动前端服务: cd ljwx-admin && npm run dev"
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echo "3. 访问健康预测页面并点击'AI预测'按钮"
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echo "4. 测试AI健康预测和建议功能"
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echo ""
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echo "🔗 相关链接:"
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echo "- Ollama服务: http://192.168.1.83:11434"
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echo "- 后端API: http://localhost:9998/t_health_prediction/ai/health"
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echo "- 前端页面: http://localhost:3000/#/health/prediction"
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