# 현재 구현된 Context Engineering 시스템

class ContextEngineer:
 def create_situation_context(self, params: Dict[str, Any], topic: str) -> str:
 """주제별 상황 인식 컨텍스트 생성"""
 if topic == "experimental_design":
 return self._create_experimental_design_context(params)
 elif topic == "process_analysis":
 return self._create_process_analysis_context(params)
 elif topic == "cost_management":
 return self._create_cost_management_context(params)

// 실시간 시뮬레이션 파라미터 전달

simulationParams={{
 activeTab: activeTab,
 hasData: !!data,
 dataInfo: dataInfo,
 uploadedFileName: uploadedFile?.name,
 selectedColumns: selectedColumns,
 correlationThreshold: correlationThreshold,
 selectedColumn: selectedColumn,
 chartType: chartType,
 preprocessingCompleted: !!preprocessingResult,
 isAnalyzing: isAnalyzing,
 isPreprocessing: isPreprocessing
}}

// 실시간 모니터링 데이터

{
"monitoring_context": {
 "sensor_data": {
 "temperature_sensors": [185.5, 187.2, 183.8],
 "pressure_sensors": [2.3, 2.4, 2.2],
 "flow_rates": [150, 148, 152],
 "vibration_levels": [0.2, 0.3, 0.1]
 },
 "anomaly_detection": {
 "anomalies_detected": 2,
 "severity_levels": ["medium", "low"],
 "recommended_actions": [
 "check_temperature_control",
 "schedule_maintenance"
 ]
 },
 "performance_metrics": {
 "oee": 87.5,
 "uptime": 94.2,
 "quality_rate": 96.8
 }
}
}