screen-manage 单位转换信息添加缓存

kaiyu

2021-07-13 327267727c36cef76ee554e1ad97099180cd4f13

 screen-manage/src/main/java/com/moral/api/kafka/consumer/KafkaConsumer.java

@@ -10,14 +10,13 @@
import org.springframework.util.StringUtils;

import java.util.HashMap;
import java.util.Iterator;
import java.util.Map;
import java.util.stream.Collectors;

import com.alibaba.fastjson.JSON;
import com.moral.api.service.DeviceService;
import com.moral.api.service.HistoryHourlyService;
import com.moral.api.service.HistoryMinutelyService;
import com.moral.api.util.AdjustDataUtils;
import com.moral.constant.KafkaConstants;
import com.moral.constant.RedisConstants;

@@ -35,13 +34,10 @@
    private DeviceService deviceService;

    @Autowired
    private AdjustDataUtils adjustDataUtils;

    @Autowired
    private RedisTemplate redisTemplate;

    //分钟数据
    @KafkaListener(topics = KafkaConstants.TOPIC_MINUTE, groupId = KafkaConstants.GROUP_ID_INSERT, containerFactory = "kafkaListenerContainerFactory")
    @KafkaListener(topics = KafkaConstants.TOPIC_MINUTE, groupId = KafkaConstants.GROUP_MINUTE, containerFactory = "kafkaListenerContainerFactory")
    public void listenMinute(ConsumerRecord<String, String> record, Acknowledgment ack) {
        String msg = record.value();
        try {
@@ -56,22 +52,32 @@
            }

            //数据过滤
            data = data.entrySet().stream()
                    .filter(map -> {
                        String key = map.getKey();
                        return !(key.contains("Min") || key.contains("Max") || key.contains("Cou"));
                    }).collect(Collectors.toMap(m -> m.getKey().replaceAll("-Avg", ""), Map.Entry::getValue));
            data.remove("time");
            data.remove("entryTime");
            Iterator<Map.Entry<String, Object>> iterator = data.entrySet().iterator();
            Map<String, Object> newMap = new HashMap<>();
            Map.Entry<String, Object> next;
            while (iterator.hasNext()) {
                next = iterator.next();
                String key = next.getKey();
                Object value = next.getValue();
                if (key.contains("-Avg")) {
                    newMap.put(key.replaceAll("-Avg", ""), value);
                } else {
                    newMap.put(key, value);
                }
                iterator.remove();
            }
            //存入数据库
            historyMinutelyService.insertHistoryMinutely(data);
            historyMinutelyService.insertHistoryMinutely(newMap);
            ack.acknowledge();
        } catch (Exception e) {
            //log.error("param{}" + msg);
            log.error("param{}" + msg);
        }
    }

    //小时数据
    @KafkaListener(topics = KafkaConstants.TOPIC_HOUR, groupId = KafkaConstants.GROUP_ID_INSERT, containerFactory = "kafkaListenerContainerFactory")
    @KafkaListener(topics = KafkaConstants.TOPIC_HOUR, groupId = KafkaConstants.GROUP_HOUR, containerFactory = "kafkaListenerContainerFactory")
    public void listenHour(ConsumerRecord<String, String> record, Acknowledgment ack) {
        String msg = record.value();
        try {
@@ -86,22 +92,32 @@
            }

            //数据过滤
            data = data.entrySet().stream()
                    .filter(map -> {
                        String key = map.getKey();
                        return !(key.contains("Min") || key.contains("Max") || key.contains("Cou"));
                    }).collect(Collectors.toMap(m -> m.getKey().replaceAll("-Avg", ""), Map.Entry::getValue));
            data.remove("time");
            data.remove("entryTime");
            Iterator<Map.Entry<String, Object>> iterator = data.entrySet().iterator();
            Map<String, Object> newMap = new HashMap<>();
            Map.Entry<String, Object> next;
            while (iterator.hasNext()) {
                next = iterator.next();
                String key = next.getKey();
                Object value = next.getValue();
                if (key.contains("-Avg")) {
                    newMap.put(key.replaceAll("-Avg", ""), value);
                } else {
                    newMap.put(key, value);
                }
                iterator.remove();
            }
            //存入数据库
            historyHourlyService.insertHistoryHourly(data);
            historyHourlyService.insertHistoryHourly(newMap);
            ack.acknowledge();
        } catch (Exception e) {
            //log.error("param{}" + msg);
            log.error("param{}" + msg);
        }
    }

    //秒数据，修改设备状态，缓存最新秒数据
    @KafkaListener(topics = KafkaConstants.TOPIC_SECOND, groupId = KafkaConstants.GROUP_ID_STATE, containerFactory = "kafkaListenerContainerFactory")
    @KafkaListener(topics = KafkaConstants.TOPIC_SECOND, groupId = KafkaConstants.GROUP_STATE, containerFactory = "kafkaListenerContainerFactory")
    public void listenSecond(ConsumerRecord<String, String> record, Acknowledgment ack) {
        String msg = record.value();
        try {
@@ -115,14 +131,14 @@
                return;
            }
            //数据校准
            data = adjustDataUtils.adjust(data);
            data = deviceService.adjustDeviceData(data);
            //存入redis
            redisTemplate.opsForValue().set(RedisConstants.DEVICE_DATA + "_" + mac, data);
            redisTemplate.opsForHash().put(RedisConstants.DEVICE_DATA, mac, data);
            //判断并修改设备状态
            deviceService.judgeDeviceState(data);
            ack.acknowledge();
        } catch (Exception e) {
            //log.error("param{}" + msg);
            log.error("param{}" + msg);
        }
    }
}