blame | history | patch | commit | commitdiff | ignore whitespace
jinpengyong
2023-10-18 cc120d54e26f64753e99b349599875cf6911a0af 
 screen-api/src/main/java/com/moral/api/service/impl/RegionServiceImpl.java


@@ -79,7 +79,7 @@


    @Autowired


    private SensorService sensorService;




    private static Map<String, String> senorMap = new HashMap<>();


    private static final Map<String, String> senorMap = new HashMap<>();




    static {


        senorMap.put(Constants.SENSOR_CODE_PM25, "PM2_5");


@@ -139,13 +139,13 @@


    }




    @Override


    public List<Map<String, Object>> regionContribution(Map<String, Object> params) {


    public Map<String, Object> regionContribution(Map<String, Object> params) {


        int orgId = Integer.parseInt(params.get("organizationId").toString());


        List<String> regionCodes = Arrays.asList(params.get("regionCodes").toString().split(","));


        String type = params.get("type").toString();


        String time = params.get("time").toString();


        String sensorCode = params.get("sensorCode").toString();


        List<Map<String, Object>> result = new ArrayList<>();


        Map<String, Object> result = new HashMap<>();


        switch (type) {


            case "year":


                result = regionContributionOfYear(orgId, regionCodes, time, sensorCode);


@@ -163,8 +163,13 @@


    }




    //贡献率，年


    private List<Map<String, Object>> regionContributionOfYear(Integer orgId, List<String> regionCodes, String time, String sensorCode) {


        List<Map<String, Object>> result = new ArrayList<>();


    private Map<String, Object> regionContributionOfYear(Integer orgId, List<String> regionCodes, String time, String sensorCode) {


        Map<String, Object> result = new HashMap<>();




        //1.时间信息结果


        List<String> timeLag = DateUtils.getTimeLag(time);


        result.put("time", timeLag);






        //根据组织获取区域定位


        QueryWrapper<Organization> organizationQueryWrapper = new QueryWrapper<>();


@@ -172,10 +177,6 @@


                .eq("id", orgId);


        Integer locationLevelCode = organizationService.getOne(organizationQueryWrapper).getLocationLevelCode();




        //该组织所有设备信息


        List<String> allMacs = deviceService.getMacsByOrganizationId(orgId);




        List<String> timeLag = DateUtils.getTimeLag(time);




        //本市本年所有月数据


        QueryWrapper<CityAqiMonthly> cityAqiMonthlyQueryWrapper = new QueryWrapper<>();


@@ -191,25 +192,26 @@


        }






        //所有设备本年所有月数据


        //该组织所有设备信息，本年所有月数据


        List<String> allMacs = deviceService.getMacsByOrganizationId(orgId);


        List<HistoryMonthly> allDeviceData = historyMonthlyService.getValueByMacs(allMacs, time);


        //按time分组


        Map<String, List<HistoryMonthly>> allDeviceDataMap = allDeviceData.stream()


                .collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 7)));






        //本市数据结果集


        Map<String, Object> resultCityDataMap = new HashMap<>();


        List<Map<String, Object>> cityDataList = new ArrayList<>();


        //所有设备每个时间点，和值


        Map<String, Object> allDeviceSumMap = new HashMap<>();


        for (String yearMonth : timeLag) {


            Map<String, Object> resultMap = new HashMap<>();


            resultMap.put("time", yearMonth);






            //所有设备该因子累加值


            Double allDeviceSum = null;


            List<HistoryMonthly> historyMonthlyList = allDeviceDataMap.get(yearMonth);


            if (!ObjectUtils.isEmpty(historyMonthlyList)) {


                allDeviceSum = historyMonthlyService.calculatedValue(historyMonthlyList, sensorCode, "sum");


            }


            resultMap.put("allDeviceSum", allDeviceSum);


            allDeviceSumMap.put(yearMonth, allDeviceSum);






            //本市值


@@ -219,71 +221,92 @@


                //判断城市aqi是否有该因子数据


                String sensorName = senorMap.get(sensorCode);


                if (sensorName != null) {


                    cityValue = (Double) dataValue.get(sensorName);


                    cityValue = Double.parseDouble(dataValue.get(sensorName).toString());


                }


            }


            resultMap.put("cityValue", cityValue);


            result.add(resultMap);


            Map<String, Object> cityDataMap = new HashMap<>();


            //本市数据


            cityDataMap.put("value", cityValue);


            cityDataList.add(cityDataMap);


        }




        //2.本市数据结果


        resultCityDataMap.put("data", cityDataList);


        result.put("本市", resultCityDataMap);






        for (String regionCode : regionCodes) {


            //每个乡镇区域数据结果集


            HashMap<String, Object> regionMap = new HashMap<>();


            List<Map<String, Object>> dataList = new ArrayList<>();






            //乡镇区域名称


            QueryWrapper<SysArea> queryWrapper = new QueryWrapper<>();


            queryWrapper.select("area_name").eq("area_code", Integer.parseInt(regionCode));


            String regionName = sysAreaService.getOne(queryWrapper).getAreaName();




            //获取乡镇区域下所有设备


            List<String> regionMacs = deviceService.getMacsByOrgIdAndRegionCode(orgId, Integer.parseInt(regionCode));




            //该乡镇区域设备本年所有月数据


            //获取乡镇区域下所有设备,本年所有月数据


            List<String> regionMacs = deviceService.getMacsByOrgIdAndRegionCode(orgId, Integer.parseInt(regionCode));


            List<HistoryMonthly> regionDeviceData = historyMonthlyService.getValueByMacs(regionMacs, time);


            //按time分组


            Map<String, List<HistoryMonthly>> regionDataMap = regionDeviceData.stream()


                    .collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 7)));






            for (Map<String, Object> map : result) {


                Object allDeviceSum = map.get("allDeviceSum");


                String resultTime = map.get("time").toString();


                List<HistoryMonthly> historyMonthlyList = regionDataMap.get(resultTime);


            for (String resultTime : timeLag) {


                //每个时间点数据


                Map<String, Object> timeDataMap = new HashMap<>();


                Object o = allDeviceSumMap.get(resultTime);


                Double allDeviceSum = null;


                if (o != null) {


                    allDeviceSum = Double.parseDouble(o.toString());


                }




                List<HistoryMonthly> regionDeviceHistoryMonthlyList = regionDataMap.get(resultTime);


                //贡献率


                String contributionRate = null;


                Double regionAvg = null;


                if (!ObjectUtils.isEmpty(historyMonthlyList)) {


                    regionAvg = historyMonthlyService.calculatedValue(historyMonthlyList, sensorCode, "avg");


                    Double regionSum = historyMonthlyService.calculatedValue(historyMonthlyList, sensorCode, "sum");


                    //行业贡献率计算


                if (!ObjectUtils.isEmpty(regionDeviceHistoryMonthlyList)) {


                    //该乡镇区域均值计算


                    regionAvg = historyMonthlyService.calculatedValue(regionDeviceHistoryMonthlyList, sensorCode, "avg");


                    //该乡镇区域和值计算


                    Double regionSum = historyMonthlyService.calculatedValue(regionDeviceHistoryMonthlyList, sensorCode, "sum");


                    //乡镇区域贡献率计算


                    NumberFormat numberFormat = NumberFormat.getInstance();


                    numberFormat.setMaximumFractionDigits(2);


                    if (allDeviceSum != null && (Double) allDeviceSum != 0d) {


                        contributionRate = numberFormat.format(regionSum / ((Double) allDeviceSum) * 100) + "%";


                        System.out.println(regionSum + "===" + allDeviceSum);


                    if (allDeviceSum != null && allDeviceSum != 0d) {


                        contributionRate = numberFormat.format(regionSum / (allDeviceSum) * 100) + "%";


                    }


                }


                Map<String, Object> professionMap = new HashMap<>();


                professionMap.put("contributionRate", contributionRate);


                professionMap.put("value", regionAvg == null ? null : AmendUtils.sciCal(regionAvg, 0));


                map.put(regionName, professionMap);




                //乡镇区域均值


                timeDataMap.put("value", regionAvg == null ? null : AmendUtils.sciCal(regionAvg, 0));


                //乡镇区域贡献率


                timeDataMap.put("name", contributionRate);


                dataList.add(timeDataMap);


            }


            regionMap.put("data", dataList);


            result.put(regionName, regionMap);


        }


        result.forEach(map -> map.remove("allDeviceSum"));


        return result;


    }




    //贡献率，月


    private List<Map<String, Object>> regionContributionOfMonth(Integer orgId, List<String> regionCodes, String time, String sensorCode) {


        List<Map<String, Object>> result = new ArrayList<>();


    private Map<String, Object> regionContributionOfMonth(Integer orgId, List<String> regionCodes, String time, String sensorCode) {


        Map<String, Object> result = new HashMap<>();




        //1.时间信息结果


        List<String> timeLag = DateUtils.getTimeLag(time);


        result.put("time", timeLag);






        //根据组织获取区域定位


        QueryWrapper<Organization> organizationQueryWrapper = new QueryWrapper<>();


        organizationQueryWrapper.select("location_level_code")


                .eq("id", orgId);


        Integer locationLevelCode = organizationService.getOne(organizationQueryWrapper).getLocationLevelCode();




        //该组织所有设备信息


        List<String> allMacs = deviceService.getMacsByOrganizationId(orgId);




        //日时间点


        List<String> timeLag = DateUtils.getTimeLag(time);






        //本市本月所有日数据


@@ -300,24 +323,26 @@


        }






        //所有设备本月所有日数据


        //该组织所有设备信息，本月所有日数据


        List<String> allMacs = deviceService.getMacsByOrganizationId(orgId);


        List<HistoryDaily> allDeviceData = historyDailyService.getValueByMacs(allMacs, time);


        //按time分组


        Map<String, List<HistoryDaily>> allDeviceDataMap = allDeviceData.stream()


                .collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 10)));






        //本市数据结果集


        Map<String, Object> resultCityDataMap = new HashMap<>();


        List<Map<String, Object>> cityDataList = new ArrayList<>();


        //所有设备每个时间点，和值


        Map<String, Object> allDeviceSumMap = new HashMap<>();


        for (String yearMonthDay : timeLag) {


            Map<String, Object> resultMap = new HashMap<>();


            resultMap.put("time", yearMonthDay);




            //所有设备该因子累加值


            Double allDeviceSum = null;


            List<HistoryDaily> historyDailyList = allDeviceDataMap.get(yearMonthDay);


            if (!ObjectUtils.isEmpty(historyDailyList)) {


                allDeviceSum = historyDailyService.calculatedValue(historyDailyList, sensorCode, "sum");


            }


            resultMap.put("allDeviceSum", allDeviceSum);


            allDeviceSumMap.put(yearMonthDay, allDeviceSum);






            //本市值


@@ -327,60 +352,85 @@


                //判断城市aqi是否有该因子数据


                String sensorName = senorMap.get(sensorCode);


                if (sensorName != null) {


                    cityValue = (Double) dataValue.get(sensorName);


                    cityValue = Double.parseDouble(dataValue.get(sensorName).toString());


                }


            }


            resultMap.put("cityValue", cityValue);


            result.add(resultMap);


            Map<String, Object> cityDataMap = new HashMap<>();


            //本市数据


            cityDataMap.put("value", cityValue);


            cityDataList.add(cityDataMap);


        }




        //2.本市数据结果


        resultCityDataMap.put("data", cityDataList);


        result.put("本市", resultCityDataMap);






        for (String regionCode : regionCodes) {


            //每个乡镇区域数据结果集


            HashMap<String, Object> regionMap = new HashMap<>();


            List<Map<String, Object>> dataList = new ArrayList<>();






            //乡镇区域名称


            QueryWrapper<SysArea> queryWrapper = new QueryWrapper<>();


            queryWrapper.select("area_name").eq("area_code", Integer.parseInt(regionCode));


            String regionName = sysAreaService.getOne(queryWrapper).getAreaName();




            //获取乡镇区域下所有设备




            //获取乡镇区域下所有设备,本月所有日数据


            List<String> regionMacs = deviceService.getMacsByOrgIdAndRegionCode(orgId, Integer.parseInt(regionCode));






            //该行业设备本月所有日数据


            List<HistoryDaily> professionDeviceData = historyDailyService.getValueByMacs(regionMacs, time);


            List<HistoryDaily> regionDeviceData = historyDailyService.getValueByMacs(regionMacs, time);


            //按time分组


            Map<String, List<HistoryDaily>> professionDataMap = professionDeviceData.stream()


            Map<String, List<HistoryDaily>> regionDataMap = regionDeviceData.stream()


                    .collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 10)));






            for (Map<String, Object> map : result) {


                Object allDeviceSum = map.get("allDeviceSum");


                String resultTime = map.get("time").toString();


                List<HistoryDaily> historyDailyList = professionDataMap.get(resultTime);


            for (String resultTime : timeLag) {


                //每个时间点数据


                Map<String, Object> timeDataMap = new HashMap<>();


                Object o = allDeviceSumMap.get(resultTime);


                Double allDeviceSum = null;


                if (o != null) {


                    allDeviceSum = Double.parseDouble(o.toString());


                }




                List<HistoryDaily> regionDeviceHistoryDailyList = regionDataMap.get(resultTime);


                //贡献率


                String contributionRate = null;


                Double regionAvg = null;


                if (!ObjectUtils.isEmpty(historyDailyList)) {


                    //该行业均值计算


                    regionAvg = historyDailyService.calculatedValue(historyDailyList, sensorCode, "avg");


                    //该行业累加值计算


                    Double regionSum = historyDailyService.calculatedValue(historyDailyList, sensorCode, "sum");


                    //行业贡献率计算


                if (!ObjectUtils.isEmpty(regionDeviceHistoryDailyList)) {


                    //该乡镇区域均值计算


                    regionAvg = historyDailyService.calculatedValue(regionDeviceHistoryDailyList, sensorCode, "avg");


                    //该乡镇区域和值计算


                    Double regionSum = historyDailyService.calculatedValue(regionDeviceHistoryDailyList, sensorCode, "sum");


                    //乡镇区域贡献率计算


                    NumberFormat numberFormat = NumberFormat.getInstance();


                    numberFormat.setMaximumFractionDigits(2);


                    if (allDeviceSum != null && (Double) allDeviceSum != 0d) {


                        contributionRate = numberFormat.format(regionSum / ((Double) allDeviceSum) * 100) + "%";


                    if (allDeviceSum != null && allDeviceSum != 0d) {


                        contributionRate = numberFormat.format(regionSum / (allDeviceSum) * 100) + "%";


                    }


                }


                Map<String, Object> professionMap = new HashMap<>();


                professionMap.put("contributionRate", contributionRate);


                professionMap.put("value", regionAvg == null ? null : AmendUtils.sciCal(regionAvg, 0));


                map.put(regionName, professionMap);




                //乡镇区域均值


                timeDataMap.put("value", regionAvg == null ? null : AmendUtils.sciCal(regionAvg, 0));


                //乡镇区域贡献率


                timeDataMap.put("name", contributionRate);


                dataList.add(timeDataMap);


            }


            regionMap.put("data", dataList);


            result.put(regionName, regionMap);


        }


        result.forEach(map -> map.remove("allDeviceSum"));


        return result;


    }




    private List<Map<String, Object>> regionContributionOfDay(Integer orgId, List<String> regionCodes, String time, String sensorCode) {


        List<Map<String, Object>> result = new ArrayList<>();


    private Map<String, Object> regionContributionOfDay(Integer orgId, List<String> regionCodes, String time, String sensorCode) {


        Map<String, Object> result = new HashMap<>();




        //1.时间信息结果


        List<String> timeLag = DateUtils.getTimeLag(time);


        result.put("time", timeLag);






        //根据组织获取区域定位


        QueryWrapper<Organization> organizationQueryWrapper = new QueryWrapper<>();


@@ -399,14 +449,6 @@


            sensorUpper = sensor.getUpper();


        }






        //该组织所有设备信息


        List<String> allMacs = deviceService.getMacsByOrganizationId(orgId);




        //小时时间点


        List<String> timeLag = DateUtils.getTimeLag(time);






        //本市本日所有小时数据


        QueryWrapper<CityAqi> cityAqiQueryWrapper = new QueryWrapper<>();


        cityAqiQueryWrapper.select("time", "value")


@@ -421,83 +463,104 @@


        }






        //所有设备本日所有小时数据


        //该组织所有设备信息，本日所有小时数据


        List<String> allMacs = deviceService.getMacsByOrganizationId(orgId);


        List<HistoryHourly> allDeviceData = historyHourlyService.getValueByMacs(allMacs, time);


        //按time分组


        Map<String, List<HistoryHourly>> allDeviceDataMap = allDeviceData.stream()


                .collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 13)));






        for (String yearMonthDayHour : timeLag) {


            Map<String, Object> resultMap = new HashMap<>();


            resultMap.put("time", yearMonthDayHour);






        //本市数据结果集


        Map<String, Object> resultCityDataMap = new HashMap<>();


        List<Map<String, Object>> cityDataList = new ArrayList<>();


        //所有设备每个时间点，和值


        Map<String, Object> allDeviceSumMap = new HashMap<>();


        for (String yearMonthDay : timeLag) {


            //所有设备该因子累加值


            Double allDeviceSum = null;


            List<HistoryHourly> historyHourlyList = allDeviceDataMap.get(yearMonthDayHour);


            List<HistoryHourly> historyHourlyList = allDeviceDataMap.get(yearMonthDay);


            if (!ObjectUtils.isEmpty(historyHourlyList)) {


                allDeviceSum = historyHourlyService.calculatedValue(historyHourlyList, sensorCode, "sum", sensorLower, sensorUpper);


            }


            resultMap.put("allDeviceSum", allDeviceSum);


            allDeviceSumMap.put(yearMonthDay, allDeviceSum);






            //本市值


            Double cityValue = null;


            if (cityAqiMap.get(yearMonthDayHour) != null) {


                Map<String, Object> dataValue = JSONObject.parseObject(cityAqiMap.get(yearMonthDayHour).toString(), Map.class);


            if (cityAqiMap.get(yearMonthDay) != null) {


                Map<String, Object> dataValue = JSONObject.parseObject(cityAqiMap.get(yearMonthDay).toString(), Map.class);


                //判断城市aqi是否有该因子数据


                String sensorName = senorMap.get(sensorCode);


                if (sensorName != null) {


                    cityValue = Double.parseDouble(dataValue.get(sensorName).toString());


                }


            }


            resultMap.put("cityValue", cityValue);


            result.add(resultMap);


            Map<String, Object> cityDataMap = new HashMap<>();


            //本市数据


            cityDataMap.put("value", cityValue);


            cityDataList.add(cityDataMap);


        }




        //2.本市数据结果


        resultCityDataMap.put("data", cityDataList);


        result.put("本市", resultCityDataMap);






        for (String regionCode : regionCodes) {


            //每个乡镇区域数据结果集


            HashMap<String, Object> regionMap = new HashMap<>();


            List<Map<String, Object>> dataList = new ArrayList<>();






            //乡镇区域名称


            QueryWrapper<SysArea> queryWrapper = new QueryWrapper<>();


            queryWrapper.select("area_name").eq("area_code", Integer.parseInt(regionCode));


            String regionName = sysAreaService.getOne(queryWrapper).getAreaName();




            //获取乡镇区域下所有设备




            //获取乡镇区域下所有设备,本日所有小时数据


            List<String> regionMacs = deviceService.getMacsByOrgIdAndRegionCode(orgId, Integer.parseInt(regionCode));






            //该行业设备本日所有小时数据


            List<HistoryHourly> professionDeviceData = historyHourlyService.getValueByMacs(regionMacs, time);


            List<HistoryHourly> regionDeviceData = historyHourlyService.getValueByMacs(regionMacs, time);


            //按time分组


            Map<String, List<HistoryHourly>> professionDataMap = professionDeviceData.stream()


            Map<String, List<HistoryHourly>> regionDataMap = regionDeviceData.stream()


                    .collect(Collectors.groupingBy(o -> DateUtils.dateToDateString(o.getTime()).substring(0, 13)));






            for (Map<String, Object> map : result) {


                Object allDeviceSum = map.get("allDeviceSum");


                String resultTime = map.get("time").toString();


                List<HistoryHourly> historyHourlyList = professionDataMap.get(resultTime);


            for (String resultTime : timeLag) {


                //每个时间点数据


                Map<String, Object> timeDataMap = new HashMap<>();


                Object o = allDeviceSumMap.get(resultTime);


                Double allDeviceSum = null;


                if (o != null) {


                    allDeviceSum = Double.parseDouble(o.toString());


                }




                List<HistoryHourly> regionDeviceHistoryHourlyList = regionDataMap.get(resultTime);


                //贡献率


                String contributionRate = null;


                Double regionAvg = null;


                if (!ObjectUtils.isEmpty(historyHourlyList)) {


                    //该行业均值计算


                    regionAvg = historyHourlyService.calculatedValue(historyHourlyList, sensorCode, "avg", sensorLower, sensorUpper);


                    //该行业累加值计算


                    Double regionSum = historyHourlyService.calculatedValue(historyHourlyList, sensorCode, "sum", sensorLower, sensorUpper);


                    //行业贡献率计算


                if (!ObjectUtils.isEmpty(regionDeviceHistoryHourlyList)) {


                    //该乡镇区域均值计算


                    regionAvg = historyHourlyService.calculatedValue(regionDeviceHistoryHourlyList, sensorCode, "avg", sensorLower, sensorUpper);


                    //该乡镇区域和值计算


                    Double regionSum = historyHourlyService.calculatedValue(regionDeviceHistoryHourlyList, sensorCode, "sum", sensorLower, sensorUpper);


                    //乡镇区域贡献率计算


                    NumberFormat numberFormat = NumberFormat.getInstance();


                    numberFormat.setMaximumFractionDigits(2);


                    if (allDeviceSum != null && (Double) allDeviceSum != 0d) {


                        contributionRate = numberFormat.format(regionSum / ((Double) allDeviceSum) * 100) + "%";


                    if (allDeviceSum != null && allDeviceSum != 0d) {


                        contributionRate = numberFormat.format(regionSum / (allDeviceSum) * 100) + "%";


                    }


                }


                Map<String, Object> professionMap = new HashMap<>();


                professionMap.put("contributionRate", contributionRate);


                professionMap.put("value", regionAvg == null ? null : AmendUtils.sciCal(regionAvg, 0));


                map.put(regionName, professionMap);




                //乡镇区域均值


                timeDataMap.put("value", regionAvg == null ? null : AmendUtils.sciCal(regionAvg, 0));


                //乡镇区域贡献率


                timeDataMap.put("name", contributionRate);


                dataList.add(timeDataMap);


            }


            regionMap.put("data", dataList);


            result.put(regionName, regionMap);


        }


        result.forEach(map -> map.remove("allDeviceSum"));


        return result;


    }


}