jinpengyong
2022-01-14 f6ecfd331ec959d7daea3fa5ebc262e7a50e4e01
screen-api/src/main/java/com/moral/api/service/impl/CityAqiServiceImpl.java
@@ -3,6 +3,7 @@
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONObject;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.moral.api.config.properties.SpecialCitiesProperties;
import com.moral.api.entity.CityAqi;
import com.moral.api.entity.CityAqiDaily;
import com.moral.api.entity.CityAqiMonthly;
@@ -60,9 +61,6 @@
    private RedisTemplate redisTemplate;
    @Autowired
    private OrganizationService organizationService;
    @Autowired
    private SysAreaService sysAreaService;
    @Autowired
@@ -73,6 +71,9 @@
    @Autowired
    private CityAqiYearlyService cityAqiYearlyService;
    @Autowired
    private SpecialCitiesProperties specialCitiesProperties;
    @Override
    public List<Map<String, Object>> measuredCompareForecastOfO3(Map<String, Object> params) {
@@ -135,6 +136,21 @@
        Map<String, Object> value = (Map<String, Object>) redisTemplate.opsForHash().get(RedisConstants.CITY_AQI, String.valueOf(regionCode));
        if (value == null)
            value = queryCityAqiByRegionCodeFromDB(regionCode);
        //如果地区码是县级市则转换到市级在进行查询
        if (value == null) {
            String regionCodeStr = String.valueOf(regionCode);
            String end = regionCodeStr.substring(regionCodeStr.length() - 2, regionCodeStr.length());
            if (!end.equals(00)) {
                regionCodeStr = regionCodeStr.substring(0, regionCodeStr.length() - 2);
                regionCodeStr += "00";
                regionCode = Integer.parseInt(regionCodeStr);
                value = (Map<String, Object>) redisTemplate.opsForHash().get(RedisConstants.CITY_AQI, String.valueOf(regionCode));
                if (value == null)
                    value = queryCityAqiByRegionCodeFromDB(regionCode);
            } else {
                return null;
            }
        }
        //根据AQI计算污染等级
        if (value == null || value.get("AQI") == null)
            return null;
@@ -152,6 +168,8 @@
        lastDataWrapper.orderByDesc("time");
        lastDataWrapper.last(true, "limit 1");
        CityAqi cityAqi = cityAqiMapper.selectOne(lastDataWrapper);
        if (cityAqi == null)
            return null;
        //算出前24小时的时间点
        Date endDate = cityAqi.getTime();
        Date startDate = DateUtils.addHours(endDate, -23);
@@ -176,10 +194,10 @@
            //按照时间进行排序
            cityAqis.sort(Comparator.comparing(CityAqi::getTime));
        }
        //封装返回数据,map的key为HH:mm格式的时间,value为aqi的数值
        //封装返回数据,map的key为yyyy-MM-dd HH:mm格式的时间,value为aqi的数值
        Map<String, Object> result = new LinkedHashMap<>();
        for (CityAqi aqi : cityAqis) {
            String key = DateUtils.dateToDateString(aqi.getTime(), "HH:mm");
            String key = DateUtils.dateToDateString(aqi.getTime(), "yyyy-MM-dd HH:mm");
            String allDataJson = aqi.getValue();
            if (allDataJson == null) {
                result.put(key, "");
@@ -223,7 +241,7 @@
    @Override
    public List<Map<String, Object>> rankingDetails(Map<String, Object> params) {
        List<Map<String, Object>> result = new ArrayList<>();
        int orgId = Integer.parseInt(params.get("organizationId").toString());
        int regionCode = Integer.parseInt(params.get("regionCode").toString());
        String type = params.get("type").toString();
        String time = null;
        if (!ObjectUtils.isEmpty(params.get("time"))) {
@@ -237,45 +255,52 @@
        }
        String cityType = params.get("cityType").toString();
        //获取省,市code
        Organization organization = organizationService.getById(orgId);
        Integer curProvinceCode = organization.getProvinceCode();
        Integer curCityCode = organization.getCityCode();
        String s = String.valueOf(regionCode);
        //获取当前省,市code
        Integer curProvinceCode = Integer.parseInt(s.substring(0, 2) + "0000");
        Integer curCityCode = Integer.parseInt(s.substring(0, 4) + "00");
        QueryWrapper<SysArea> areaWrapper = new QueryWrapper<>();
        if ("province".equals(cityType)) {
            //获取省内所有市
            areaWrapper.select("area_code").eq("parent_code", curProvinceCode);
        List<SysArea> sysAreas;
        if ("28".equals(cityType)) {
            //获取2+26城市
            sysAreas = specialCitiesProperties.getTwentyEightCities();
        } else {
            //获取市内所有县区
            areaWrapper.select("area_code").eq("parent_code", curCityCode);
            if ("province".equals(cityType)) {
                //获取省内所有市
                areaWrapper.select("area_code", "area_name").eq("parent_code", curProvinceCode);
            } else {
                //获取市内所有县区
                areaWrapper.select("area_code", "area_name").eq("parent_code", curCityCode);
            }
            sysAreas = sysAreaService.list(areaWrapper);
        }
        List<Object> regionCodes = sysAreaService.listObjs(areaWrapper);
        switch (type) {
            case "today":
                result = accumulatedTodayRank(regionCodes);
                result = accumulatedTodayRank(sysAreas);
                break;
            case "hour":
                time = new StringBuilder(time).replace(10, 11, " ").toString() + ":00:00";
                result = hourRank(regionCodes, time);
                result = hourRank(sysAreas, time);
                break;
            case "day":
                time = time + " 00:00:00";
                result = dayRank(regionCodes, time);
                result = dayRank(sysAreas, time);
                break;
            case "month":
                time = time + "-01 00:00:00";
                result = monthRank(regionCodes, time);
                result = monthRank(sysAreas, time);
                break;
            case "year":
                time = time + "-01-01 00:00:00";
                result = yearRank(regionCodes, time);
                result = yearRank(sysAreas, time);
                break;
            case "custom":
                start = start + " 00:00:00";
                end = end + " :00:00";
                result = customRank(regionCodes, start, end);
                result = customRank(sysAreas, start, end);
                break;
            default:
                break;
@@ -284,10 +309,14 @@
    }
    /**
     * @param regionCodes 所要获取城市的地去编程集合
     * @param sysAreas 所要获取城市集合
     * @return 功能:今日累计排名
     */
    private List<Map<String, Object>> accumulatedTodayRank(List<Object> regionCodes) {
    private List<Map<String, Object>> accumulatedTodayRank(List<SysArea> sysAreas) {
        List<Integer> regionCodes = sysAreas.stream()
                .map(SysArea::getAreaCode)
                .collect(Collectors.toList());
        List<Map<String, Object>> result = new ArrayList<>();
        List<String> sensors = Arrays.asList("PM2_5", "PM10", "SO2", "NO2", "CO", "O3");
        Date now = new Date();
@@ -298,7 +327,7 @@
                .in("city_code", regionCodes);
        List<Map<String, Object>> cumulativeData = cityAqiMapper.selectMaps(wrapper);
        //按city_code分组
        Map<String, List<Map<String, Object>>> data = cumulativeData.parallelStream().collect(Collectors.groupingBy(o -> o.get("city_code").toString()));
        Map<Integer, List<Map<String, Object>>> data = cumulativeData.parallelStream().collect(Collectors.groupingBy(o -> Integer.parseInt(o.get("city_code").toString())));
        data.forEach((cityCode, value) -> {
            List<Double> doubles = new ArrayList<>();
            for (Map<String, Object> objectMap : value) {
@@ -349,7 +378,7 @@
            List<String> primaryPollutantNames = aqi.getPrimaryPollutantNames();
            String primaryPollutant = "";
            if (!ObjectUtils.isEmpty(primaryPollutantNames)) {
                primaryPollutant = primaryPollutantNames.toString().replace("[", "").replace("]", "");
                primaryPollutant = primaryPollutantNames.stream().map(String::valueOf).collect(Collectors.joining(","));
            }
            dataMap.put("primaryPollutant", primaryPollutant);
@@ -360,22 +389,27 @@
            dataMap.put("compositeIndex", compositeIndex);
            //城市名
            QueryWrapper<SysArea> queryWrapper = new QueryWrapper<>();
            queryWrapper.select("area_name").eq("area_code", cityCode);
            String areaName = sysAreaService.getOne(queryWrapper).getAreaName();
            dataMap.put("cityName", areaName);
            for (SysArea sysArea : sysAreas) {
                if (cityCode.equals(sysArea.getAreaCode())) {
                    dataMap.put("cityName", sysArea.getAreaName());
                    break;
                }
            }
            result.add(dataMap);
        });
        return result;
    }
    /**
     * @param regionCodes 所要获取城市的编码集合
     * @param time        所要获取数据的时间 2021-11-04 13:00:00
     * @param sysAreas 所要获取城市集合
     * @param time     所要获取数据的时间 2021-11-04 13:00:00
     * @return 功能:小时排名
     */
    private List<Map<String, Object>> hourRank(List<Object> regionCodes, String time) {
    private List<Map<String, Object>> hourRank(List<SysArea> sysAreas, String time) {
        List<Integer> regionCodes = sysAreas.stream()
                .map(SysArea::getAreaCode)
                .collect(Collectors.toList());
        List<Map<String, Object>> result = new ArrayList<>();
        QueryWrapper<CityAqi> wrapper = new QueryWrapper<>();
        wrapper.select("value")
@@ -387,7 +421,7 @@
            List<String> primaryPollutantNames = (List<String>) value.get("primaryPollutant");
            String primaryPollutant = "";
            if (!ObjectUtils.isEmpty(primaryPollutantNames)) {
                primaryPollutant = primaryPollutantNames.toString().replace("[", "").replace("]", "");
                primaryPollutant = primaryPollutantNames.stream().map(String::valueOf).collect(Collectors.joining(","));
            }
            value.put("primaryPollutant", primaryPollutant);
            value.remove("pubtime");
@@ -398,11 +432,15 @@
    }
    /**
     * @param regionCodes 所要获取城市的编码集合
     * @param time        所要获取数据的时间 2021-11-04 00:00:00
     * @param sysAreas 所要获取城市集合
     * @param time     所要获取数据的时间 2021-11-04 00:00:00
     * @return 功能:日排名
     */
    private List<Map<String, Object>> dayRank(List<Object> regionCodes, String time) {
    private List<Map<String, Object>> dayRank(List<SysArea> sysAreas, String time) {
        List<Integer> regionCodes = sysAreas.stream()
                .map(SysArea::getAreaCode)
                .collect(Collectors.toList());
        List<Map<String, Object>> result = new ArrayList<>();
        QueryWrapper<CityAqiDaily> wrapper = new QueryWrapper<>();
        wrapper.select("city_code", "value")
@@ -414,33 +452,40 @@
            List<String> primaryPollutantNames = (List<String>) value.get("primaryPollutant");
            String primaryPollutant = "";
            if (!ObjectUtils.isEmpty(primaryPollutantNames)) {
                primaryPollutant = primaryPollutantNames.toString().replace("[", "").replace("]", "");
                primaryPollutant = primaryPollutantNames.stream().map(String::valueOf).collect(Collectors.joining(","));
            }
            value.put("primaryPollutant", primaryPollutant);
            //城市名
            QueryWrapper<SysArea> queryWrapper = new QueryWrapper<>();
            queryWrapper.select("area_name")
                    .eq("area_code", dayDatum.get("city_code"));
            String areaName = sysAreaService.getOne(queryWrapper).getAreaName();
            value.put("cityName", areaName);
            for (SysArea sysArea : sysAreas) {
                if (dayDatum.get("city_code").equals(sysArea.getAreaCode())) {
                    value.put("cityName", sysArea.getAreaName());
                    break;
                }
            }
            result.add(value);
        }
        return result;
    }
    /**
     * @param regionCodes 所要获取城市的编码集合
     * @param time        所要获取数据的时间 2021-11-01 00:00:00 每月1号
     * @param sysAreas 所要获取城市集合
     * @param time     所要获取数据的时间 2021-11-01 00:00:00 每月1号
     * @return 功能:月排名
     */
    private List<Map<String, Object>> monthRank(List<Object> regionCodes, String time) {
    private List<Map<String, Object>> monthRank(List<SysArea> sysAreas, String time) {
        List<Integer> regionCodes = sysAreas.stream()
                .map(SysArea::getAreaCode)
                .collect(Collectors.toList());
        //需要均值计算的因子
        List<String> sensors = Arrays.asList("PM2_5", "PM10", "SO2", "NO2");
        List<Map<String, Object>> result = new ArrayList<>();
        //如果是本月,实时计算,其他直接从city_aqi_monthly获取
        //如果部是本月,实时计算,其他直接从city_aqi_monthly获取
        if (!time.substring(0, 7).equals(DateUtils.dateToDateString(new Date(), DateUtils.yyyy_MM_EN))) {
            QueryWrapper<CityAqiMonthly> cityAqiMonthlyQueryWrapper = new QueryWrapper<>();
            for (Object regionCode : regionCodes) {
            for (Integer regionCode : regionCodes) {
                cityAqiMonthlyQueryWrapper.clear();
                cityAqiMonthlyQueryWrapper.select("value")
                        .eq("city_code", regionCode)
@@ -451,13 +496,15 @@
                }
                String value = cityAqiMonthly.getValue();
                Map<String, Object> resultMap = JSONObject.parseObject(value, Map.class);
                //城市名
                QueryWrapper<SysArea> sysAreaQueryWrapper = new QueryWrapper<>();
                sysAreaQueryWrapper.select("area_name")
                        .eq("area_code", regionCode);
                String areaName = sysAreaService.getOne(sysAreaQueryWrapper).getAreaName();
                resultMap.put("cityName", areaName);
                result.add(resultMap);
                for (SysArea sysArea : sysAreas) {
                    if (regionCode.equals(sysArea.getAreaCode())) {
                        resultMap.put("cityName", sysArea.getAreaName());
                        break;
                    }
                }
            }
            return result;
        }
@@ -468,7 +515,9 @@
                .in("city_code", regionCodes);
        List<Map<String, Object>> thisMonthData = cityAqiDailyService.listMaps(cityAqiDailyQueryWrapper);
        //按city_code分组
        Map<String, List<Map<String, Object>>> thisMonthMap = thisMonthData.parallelStream().collect(Collectors.groupingBy(o -> o.get("city_code").toString()));
        Map<Integer, List<Map<String, Object>>> thisMonthMap = thisMonthData.parallelStream()
                .collect(Collectors.groupingBy(o -> Integer.parseInt(o.get("city_code").toString())));
        thisMonthMap.forEach((cityCode, value) -> {
            Map<String, Object> resultMap = new HashMap<>();
@@ -539,30 +588,34 @@
            resultMap.put("monthContrast", monthContrast);
            //城市名
            QueryWrapper<SysArea> sysAreaQueryWrapper = new QueryWrapper<>();
            sysAreaQueryWrapper.select("area_name")
                    .eq("area_code", cityCode);
            String areaName = sysAreaService.getOne(sysAreaQueryWrapper).getAreaName();
            resultMap.put("cityName", areaName);
            for (SysArea sysArea : sysAreas) {
                if (cityCode.equals(sysArea.getAreaCode())) {
                    resultMap.put("cityName", sysArea.getAreaName());
                    break;
                }
            }
            result.add(resultMap);
        });
        return result;
    }
    /**
     * @param regionCodes 所要获取城市的编码集合
     * @param time        所要获取数据的时间 2021-11-01 00:00:00 每年1月1号
     * @param sysAreas 所要获取城市集合
     * @param time     所要获取数据的时间 2021-11-01 00:00:00 每年1月1号
     * @return 功能:年排名
     */
    private List<Map<String, Object>> yearRank(List<Object> regionCodes, String time) {
    private List<Map<String, Object>> yearRank(List<SysArea> sysAreas, String time) {
        List<Integer> regionCodes = sysAreas.stream()
                .map(SysArea::getAreaCode)
                .collect(Collectors.toList());
        //需要均值计算的因子
        List<String> sensors = Arrays.asList("PM2_5", "PM10", "SO2", "NO2");
        List<Map<String, Object>> result = new ArrayList<>();
        //如果是本月,实时计算,其他直接从city_aqi_monthly获取
        if (!time.substring(0, 4).equals(DateUtils.dateToDateString(new Date(), DateUtils.yyyy))) {
            QueryWrapper<CityAqiYearly> cityAqiYearlyQueryWrapper = new QueryWrapper<>();
            for (Object regionCode : regionCodes) {
            for (Integer regionCode : regionCodes) {
                cityAqiYearlyQueryWrapper.clear();
                cityAqiYearlyQueryWrapper.select("value")
                        .eq("city_code", regionCode)
@@ -573,12 +626,15 @@
                }
                String value = cityAqiYearly.getValue();
                Map<String, Object> resultMap = JSONObject.parseObject(value, Map.class);
                //城市名
                QueryWrapper<SysArea> sysAreaQueryWrapper = new QueryWrapper<>();
                sysAreaQueryWrapper.select("area_name")
                        .eq("area_code", regionCode);
                String areaName = sysAreaService.getOne(sysAreaQueryWrapper).getAreaName();
                resultMap.put("cityName", areaName);
                for (SysArea sysArea : sysAreas) {
                    if (regionCode.equals(sysArea.getAreaCode())) {
                        resultMap.put("cityName", sysArea.getAreaName());
                        break;
                    }
                }
                result.add(resultMap);
            }
            return result;
@@ -590,7 +646,8 @@
                .in("city_code", regionCodes);
        List<Map<String, Object>> thisMonthData = cityAqiDailyService.listMaps(cityAqiDailyQueryWrapper);
        //按city_code分组
        Map<String, List<Map<String, Object>>> thisYearMap = thisMonthData.parallelStream().collect(Collectors.groupingBy(o -> o.get("city_code").toString()));
        Map<Integer, List<Map<String, Object>>> thisYearMap = thisMonthData.parallelStream()
                .collect(Collectors.groupingBy(o -> Integer.parseInt(o.get("city_code").toString())));
        thisYearMap.forEach((cityCode, value) -> {
            Map<String, Object> resultMap = new HashMap<>();
@@ -659,24 +716,31 @@
                yearContrast = decimalFormat.format((compositeIndex - lastCompositeIndex) / lastCompositeIndex);
            }
            resultMap.put("yearContrast", yearContrast);
            //城市名
            QueryWrapper<SysArea> sysAreaQueryWrapper = new QueryWrapper<>();
            sysAreaQueryWrapper.select("area_name").eq("area_code", cityCode);
            String areaName = sysAreaService.getOne(sysAreaQueryWrapper).getAreaName();
            resultMap.put("cityName", areaName);
            //城市名
            for (SysArea sysArea : sysAreas) {
                if (cityCode.equals(sysArea.getAreaCode())) {
                    resultMap.put("cityName", sysArea.getAreaName());
                    break;
                }
            }
            result.add(resultMap);
        });
        return result;
    }
    /**
     * @param regionCodes 所要获取城市的编码集合
     * @param start       所要获取数据的开始时间,精确到日,2021-11-03 00:00:00
     * @param end         所要获取数据的结束时间,精确到日,2021-11-25 00:00:00
     * @param sysAreas 所要获取城市集合
     * @param start    所要获取数据的开始时间,精确到日,2021-11-03 00:00:00
     * @param end      所要获取数据的结束时间,精确到日,2021-11-25 00:00:00
     * @return 功能:自定义排名
     */
    private List<Map<String, Object>> customRank(List<Object> regionCodes, String start, String end) {
    private List<Map<String, Object>> customRank(List<SysArea> sysAreas, String start, String end) {
        List<Integer> regionCodes = sysAreas.stream()
                .map(SysArea::getAreaCode)
                .collect(Collectors.toList());
        //需要均值计算的因子
        List<String> sensors = Arrays.asList("PM2_5", "PM10", "SO2", "NO2");
        List<Map<String, Object>> result = new ArrayList<>();
@@ -687,7 +751,8 @@
                .in("city_code", regionCodes);
        List<Map<String, Object>> thisMonthData = cityAqiDailyService.listMaps(cityAqiDailyQueryWrapper);
        //按city_code分组
        Map<String, List<Map<String, Object>>> customMap = thisMonthData.parallelStream().collect(Collectors.groupingBy(o -> o.get("city_code").toString()));
        Map<Integer, List<Map<String, Object>>> customMap = thisMonthData.parallelStream()
                .collect(Collectors.groupingBy(o -> Integer.parseInt(o.get("city_code").toString())));
        customMap.forEach((cityCode, value) -> {
            Map<String, Object> resultMap = new HashMap<>();
@@ -741,11 +806,12 @@
            resultMap.put("O3_8H", resultMap.remove("O3"));
            //城市名
            QueryWrapper<SysArea> sysAreaQueryWrapper = new QueryWrapper<>();
            sysAreaQueryWrapper.select("area_name").eq("area_code", cityCode);
            String areaName = sysAreaService.getOne(sysAreaQueryWrapper).getAreaName();
            resultMap.put("cityName", areaName);
            for (SysArea sysArea : sysAreas) {
                if (cityCode.equals(sysArea.getAreaCode())) {
                    resultMap.put("cityName", sysArea.getAreaName());
                    break;
                }
            }
            result.add(resultMap);
        });
        return result;
@@ -826,7 +892,7 @@
    }
    @Override
    public Map<String, Object> provincialRanking(Integer organizationId) {
    public Map<String, Object> provincialRanking(Integer regionCode) {
        //结果集
        Map<String, Object> result = new HashMap<>();
@@ -835,10 +901,10 @@
        Date yesterday = DateUtils.dataToTimeStampTime(DateUtils.getDateOfDay(now, -1), DateUtils.yyyy_MM_dd_EN);
        String dateString = DateUtils.dateToDateString(yesterday, DateUtils.yyyy_MM_dd_HH_mm_ss_EN);
        String s = String.valueOf(regionCode);
        //获取省,市code
        Organization organization = organizationService.getById(organizationId);
        Integer provinceCode = organization.getProvinceCode();
        Integer cityCode = organization.getCityCode();
        Integer provinceCode = Integer.parseInt(s.substring(0, 2) + "0000");
        Integer cityCode = Integer.parseInt(s.substring(0, 4) + "00");
        //获取省内所有city_code
        QueryWrapper<SysArea> wrapper = new QueryWrapper<>();
        wrapper.select("area_code").eq("parent_code", provinceCode);
@@ -921,8 +987,6 @@
        //年排名,按累计综指排
        sortByField(ranks, "compositeIndexYear");
        //年排名结果
        sortByField(ranks, "compositeIndexYear");
        Map<String, Object> yearMap = rankByField(ranks, cityCode, "compositeIndexYear", cityCodes.size());
        if (ObjectUtils.isEmpty(yearMap)) {
            yearMap.put("rank", null);
@@ -966,6 +1030,4 @@
        }
        return result;
    }
}