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进阶教程：实时数据分析与自动化决策系统

1. 实时数据流处理架构

class StreamProcessor:def __init__(self):self.window_size = 60  # 滑动窗口大小(秒)self.analytics_engine = AnalyticsEngine()  # 复用之前的分析引擎def process_kafka_stream(self, topic):"""从Kafka主题消费实时数据流"""consumer = KafkaConsumer(topic,bootstrap_servers='localhost:9092',value_deserializer=lambda x: json.loads(x.decode('utf-8')))window_buffer = []for message in consumer:window_buffer.append(message.value)# 滑动窗口处理if len(window_buffer) >= self.window_size:self._analyze_window(window_buffer