城市aqi日数据统计定时任务

jinpengyong

2021-10-28 db56a260709d59c872b15d8eb6734fcb99f6cf2b

 screen-job/src/main/java/com/moral/api/service/impl/CityAqiServiceImpl.java

@@ -22,7 +22,6 @@
import java.util.Date;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;

/**
 * <p>
@@ -47,6 +46,9 @@
    @Autowired
    private RedisTemplate redisTemplate;

    @Autowired


    @Override
    public void insertCityAqi() {
        //获取城市配置
@@ -55,7 +57,7 @@
        List<CityConfig> list = cityConfigService.list(wrapper);
        Date time = DateUtils.dataToTimeStampTime(new Date(), DateUtils.yyyy_MM_dd_HH_EN);
        for (CityConfig cityConfig : list) {
            String cityCode = cityConfig.getCityCode();
            Integer cityCode = cityConfig.getCityCode();
            Map<String, Object> data;
            try {
                //从第三方接口获取数据
@@ -83,33 +85,7 @@
            cityAqi.setValue(JSONObject.toJSONString(aqi));
            cityAqiMapper.insert(cityAqi);
            //存入redis
            redisTemplate.opsForHash().put(RedisConstants.CITY_AQI, cityCode, aqi);
            redisTemplate.opsForHash().put(RedisConstants.CITY_AQI, cityCode.toString(), aqi);
        }
    }

    @Override
    public void insertCityAqiDaily() {
        String format = DateUtils.yyyy_MM_dd_EN;
        Date now = new Date();
        //开始时间，昨日
        Date start = DateUtils.dataToTimeStampTime(DateUtils.getDateOfDay(now, -1), format);
        //结束时间，今日
        Date end = DateUtils.dataToTimeStampTime(now, format);
        //获取所有城市aqi小时数据
        QueryWrapper<CityAqi> wrapper = new QueryWrapper<>();
        wrapper.select("city_code", "value")
                .ge("time", DateUtils.dateToDateString(start))
                .lt("time", DateUtils.dateToDateString(end));
        List<Map<String, Object>> dailyData = cityAqiMapper.selectMaps(wrapper);

        if (dailyData.size() == 0) {
            return;
        }
        //按city_code分组
        Map<String, List<Map<String, Object>>> data = dailyData.parallelStream().collect(Collectors.groupingBy(o -> (String) o.get("city_code")));
        data.forEach((cityCode, value) -> {

        });

    }
}