package com.trafficaudit.dataimport.controller;
|
|
import cn.hutool.core.bean.BeanUtil;
|
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
|
import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
|
import com.trafficaudit.common.Result;
|
import com.trafficaudit.dataimport.entity.FreightTurnoverImport;
|
import com.trafficaudit.dataimport.entity.H2032EnterpriseMonthly;
|
import com.trafficaudit.dataimport.entity.PassengerAuthVehicle;
|
import com.trafficaudit.dataimport.entity.CityBusMonthly;
|
import com.trafficaudit.dataimport.entity.CityTaxiAuth;
|
import com.trafficaudit.dataimport.entity.CityTaxiMonthly;
|
import com.trafficaudit.dataimport.entity.PassengerEnterpriseMonthly;
|
import com.trafficaudit.dataimport.entity.ScaleSplitTransport;
|
import com.trafficaudit.dataimport.entity.TransportAuthVehicle;
|
import com.trafficaudit.dataimport.entity.VehicleTrackMileage;
|
import com.trafficaudit.dataimport.entity.InvestmentMonthly;
|
import com.trafficaudit.dataimport.entity.InvestmentProject;
|
import com.trafficaudit.dataimport.entity.InvestmentSystem;
|
import com.trafficaudit.dataimport.entity.EnergyVehicleQuarterly;
|
import com.trafficaudit.dataimport.entity.EnergyAuthVehicle;
|
import com.trafficaudit.dataimport.entity.PassengerIndividualMonthly;
|
import com.trafficaudit.dataimport.entity.WycOrderMonthly;
|
import com.trafficaudit.dataimport.entity.WycTotalMonthly;
|
import com.trafficaudit.common.util.RegionUtil;
|
import com.trafficaudit.reportexport.calc.WycSplitCalc;
|
import com.trafficaudit.dataimport.mapper.FreightTurnoverImportMapper;
|
import com.trafficaudit.dataimport.mapper.H2032EnterpriseMonthlyMapper;
|
import com.trafficaudit.dataimport.mapper.PassengerAuthVehicleMapper;
|
import com.trafficaudit.dataimport.mapper.CityBusMonthlyMapper;
|
import com.trafficaudit.dataimport.mapper.CityTaxiAuthMapper;
|
import com.trafficaudit.dataimport.mapper.CityTaxiMonthlyMapper;
|
import com.trafficaudit.dataimport.mapper.PassengerEnterpriseMonthlyMapper;
|
import com.trafficaudit.dataimport.mapper.ScaleSplitTransportMapper;
|
import com.trafficaudit.dataimport.mapper.TransportAuthVehicleMapper;
|
import com.trafficaudit.dataimport.mapper.VehicleTrackMileageMapper;
|
import com.trafficaudit.dataimport.mapper.InvestmentMonthlyMapper;
|
import com.trafficaudit.dataimport.mapper.InvestmentProjectMapper;
|
import com.trafficaudit.dataimport.mapper.InvestmentSystemMapper;
|
import com.trafficaudit.dataimport.mapper.EnergyVehicleQuarterlyMapper;
|
import com.trafficaudit.dataimport.mapper.EnergyAuthVehicleMapper;
|
import com.trafficaudit.dataimport.mapper.PassengerIndividualMonthlyMapper;
|
import com.trafficaudit.dataimport.mapper.WycOrderMonthlyMapper;
|
import com.trafficaudit.dataimport.mapper.WycTotalMonthlyMapper;
|
import lombok.extern.slf4j.Slf4j;
|
import org.springframework.web.bind.annotation.GetMapping;
|
import org.springframework.web.bind.annotation.RequestMapping;
|
import org.springframework.web.bind.annotation.RequestParam;
|
import org.springframework.web.bind.annotation.RestController;
|
|
import javax.annotation.Resource;
|
import java.util.ArrayList;
|
import java.util.LinkedHashMap;
|
import java.util.List;
|
import java.util.Map;
|
|
/**
|
* 导入数据查看：分页查询各类型导入的业务数据，供页面展示
|
*/
|
@Slf4j
|
@RestController
|
@RequestMapping("/api/data")
|
public class DataViewController {
|
|
@Resource
|
private H2032EnterpriseMonthlyMapper h2032Mapper;
|
@Resource
|
private TransportAuthVehicleMapper transportAuthMapper;
|
@Resource
|
private VehicleTrackMileageMapper trackMileageMapper;
|
@Resource
|
private ScaleSplitTransportMapper scaleSplitMapper;
|
@Resource
|
private FreightTurnoverImportMapper freightTurnoverMapper;
|
@Resource
|
private PassengerEnterpriseMonthlyMapper passengerMapper;
|
@Resource
|
private PassengerAuthVehicleMapper passengerAuthMapper;
|
@Resource
|
private CityBusMonthlyMapper cityBusMapper;
|
@Resource
|
private CityTaxiMonthlyMapper cityTaxiMapper;
|
@Resource
|
private CityTaxiAuthMapper cityTaxiAuthMapper;
|
@Resource
|
private InvestmentMonthlyMapper investmentMonthlyMapper;
|
@Resource
|
private InvestmentProjectMapper investmentProjectMapper;
|
@Resource
|
private InvestmentSystemMapper investmentSystemMapper;
|
@Resource
|
private EnergyVehicleQuarterlyMapper energyVehicleMapper;
|
@Resource
|
private EnergyAuthVehicleMapper energyAuthMapper;
|
@Resource
|
private PassengerIndividualMonthlyMapper passengerIndividualMapper;
|
@Resource
|
private WycOrderMonthlyMapper wycOrderMapper;
|
@Resource
|
private WycTotalMonthlyMapper wycTotalMapper;
|
@Resource
|
private WycSplitCalc wycSplitCalc;
|
|
@GetMapping("/list")
|
public Result<Map<String, Object>> list(@RequestParam("type") String type,
|
@RequestParam(value = "period", required = false) String period,
|
@RequestParam(value = "keyword", required = false) String keyword,
|
@RequestParam(value = "page", defaultValue = "1") long page,
|
@RequestParam(value = "size", defaultValue = "20") long size) {
|
String kw = keyword == null ? "" : keyword.trim();
|
long safePage = Math.max(page, 1);
|
long safeSize = Math.min(Math.max(size, 1), 200);
|
|
Map<String, Object> result = new LinkedHashMap<>();
|
result.put("type", type);
|
result.put("columns", columnsOf(type));
|
|
switch (type) {
|
case "h2032": {
|
LambdaQueryWrapper<H2032EnterpriseMonthly> w = new LambdaQueryWrapper<H2032EnterpriseMonthly>()
|
.eq(notEmpty(period), H2032EnterpriseMonthly::getReportPeriod, period)
|
.like(!kw.isEmpty(), H2032EnterpriseMonthly::getEnterpriseName, kw)
|
.orderByDesc(H2032EnterpriseMonthly::getId);
|
Page<H2032EnterpriseMonthly> p = new Page<>(safePage, safeSize);
|
Page<H2032EnterpriseMonthly> r = h2032Mapper.selectPage(p, w);
|
List<Map<String, Object>> rows = toMaps(r.getRecords(), propsOf(H2032_COLUMNS));
|
fillCity(rows);
|
result.put("records", rows);
|
fillPage(result, r);
|
break;
|
}
|
case "transportAuth": {
|
LambdaQueryWrapper<TransportAuthVehicle> w = new LambdaQueryWrapper<TransportAuthVehicle>()
|
.eq(notEmpty(period), TransportAuthVehicle::getReportPeriod, period)
|
.like(!kw.isEmpty(), TransportAuthVehicle::getEnterpriseName, kw)
|
.orderByDesc(TransportAuthVehicle::getId);
|
Page<TransportAuthVehicle> p = new Page<>(safePage, safeSize);
|
Page<TransportAuthVehicle> r = transportAuthMapper.selectPage(p, w);
|
result.put("records", toMaps(r.getRecords(), propsOf(AUTH_COLUMNS)));
|
fillPage(result, r);
|
break;
|
}
|
case "trackMileage": {
|
LambdaQueryWrapper<VehicleTrackMileage> w = new LambdaQueryWrapper<VehicleTrackMileage>()
|
.eq(notEmpty(period), VehicleTrackMileage::getReportPeriod, period)
|
.like(!kw.isEmpty(), VehicleTrackMileage::getEnterpriseName, kw)
|
.orderByDesc(VehicleTrackMileage::getId);
|
Page<VehicleTrackMileage> p = new Page<>(safePage, safeSize);
|
Page<VehicleTrackMileage> r = trackMileageMapper.selectPage(p, w);
|
result.put("records", toMaps(r.getRecords(), propsOf(TRACK_COLUMNS)));
|
fillPage(result, r);
|
break;
|
}
|
case "scaleSplit": {
|
LambdaQueryWrapper<ScaleSplitTransport> w = new LambdaQueryWrapper<ScaleSplitTransport>()
|
.eq(notEmpty(period), ScaleSplitTransport::getReportPeriod, period)
|
.like(!kw.isEmpty(), ScaleSplitTransport::getRegionName, kw)
|
.orderByDesc(ScaleSplitTransport::getId);
|
Page<ScaleSplitTransport> p = new Page<>(safePage, safeSize);
|
Page<ScaleSplitTransport> r = scaleSplitMapper.selectPage(p, w);
|
List<Map<String, Object>> rows = toMaps(r.getRecords(), propsOf(SPLIT_COLUMNS));
|
for (Map<String, Object> row : rows) {
|
Object pt = row.get("periodType");
|
if ("MONTH".equals(pt)) {
|
row.put("periodType", "当月");
|
} else if ("CUMULATIVE".equals(pt)) {
|
row.put("periodType", "累计");
|
}
|
}
|
result.put("records", rows);
|
fillPage(result, r);
|
break;
|
}
|
case "h2031": {
|
LambdaQueryWrapper<PassengerEnterpriseMonthly> w = new LambdaQueryWrapper<PassengerEnterpriseMonthly>()
|
.eq(notEmpty(period), PassengerEnterpriseMonthly::getReportPeriod, period)
|
.like(!kw.isEmpty(), PassengerEnterpriseMonthly::getEnterpriseName, kw)
|
.orderByDesc(PassengerEnterpriseMonthly::getId);
|
Page<PassengerEnterpriseMonthly> p = new Page<>(safePage, safeSize);
|
Page<PassengerEnterpriseMonthly> r = passengerMapper.selectPage(p, w);
|
List<Map<String, Object>> rows = toMaps(r.getRecords(), propsOf(H2031_COLUMNS));
|
fillCity(rows);
|
result.put("records", rows);
|
fillPage(result, r);
|
break;
|
}
|
case "cityBus": {
|
LambdaQueryWrapper<CityBusMonthly> w = new LambdaQueryWrapper<CityBusMonthly>()
|
.eq(notEmpty(period), CityBusMonthly::getReportPeriod, period)
|
.like(!kw.isEmpty(), CityBusMonthly::getEnterpriseName, kw)
|
.orderByDesc(CityBusMonthly::getId);
|
Page<CityBusMonthly> p = new Page<>(safePage, safeSize);
|
Page<CityBusMonthly> r = cityBusMapper.selectPage(p, w);
|
result.put("records", toMaps(r.getRecords(), propsOf(BUS_COLUMNS)));
|
fillPage(result, r);
|
break;
|
}
|
case "cityTaxi": {
|
LambdaQueryWrapper<CityTaxiMonthly> w = new LambdaQueryWrapper<CityTaxiMonthly>()
|
.eq(notEmpty(period), CityTaxiMonthly::getReportPeriod, period)
|
.like(!kw.isEmpty(), CityTaxiMonthly::getCity, kw)
|
.orderByAsc(CityTaxiMonthly::getId);
|
Page<CityTaxiMonthly> p = new Page<>(safePage, safeSize);
|
Page<CityTaxiMonthly> r = cityTaxiMapper.selectPage(p, w);
|
result.put("records", toMaps(r.getRecords(), propsOf(TAXI_COLUMNS)));
|
fillPage(result, r);
|
break;
|
}
|
case "cityTaxiAuth": {
|
LambdaQueryWrapper<CityTaxiAuth> w = new LambdaQueryWrapper<CityTaxiAuth>()
|
.eq(notEmpty(period), CityTaxiAuth::getReportPeriod, period)
|
.like(!kw.isEmpty(), CityTaxiAuth::getCity, kw)
|
.orderByDesc(CityTaxiAuth::getId);
|
Page<CityTaxiAuth> p = new Page<>(safePage, safeSize);
|
Page<CityTaxiAuth> r = cityTaxiAuthMapper.selectPage(p, w);
|
result.put("records", toMaps(r.getRecords(), propsOf(TAXI_AUTH_COLUMNS)));
|
fillPage(result, r);
|
break;
|
}
|
case "passengerAuth": {
|
LambdaQueryWrapper<PassengerAuthVehicle> w = new LambdaQueryWrapper<PassengerAuthVehicle>()
|
.eq(notEmpty(period), PassengerAuthVehicle::getReportPeriod, period)
|
.like(!kw.isEmpty(), PassengerAuthVehicle::getEnterpriseName, kw)
|
.orderByDesc(PassengerAuthVehicle::getId);
|
Page<PassengerAuthVehicle> p = new Page<>(safePage, safeSize);
|
Page<PassengerAuthVehicle> r = passengerAuthMapper.selectPage(p, w);
|
result.put("records", toMaps(r.getRecords(), propsOf(PAUTH_COLUMNS)));
|
fillPage(result, r);
|
break;
|
}
|
case "freightTurnover": {
|
LambdaQueryWrapper<FreightTurnoverImport> w = new LambdaQueryWrapper<FreightTurnoverImport>()
|
.eq(notEmpty(period), FreightTurnoverImport::getReportPeriod, period)
|
.like(!kw.isEmpty(), FreightTurnoverImport::getRegionName, kw)
|
.orderByDesc(FreightTurnoverImport::getId);
|
Page<FreightTurnoverImport> p = new Page<>(safePage, safeSize);
|
Page<FreightTurnoverImport> r = freightTurnoverMapper.selectPage(p, w);
|
result.put("records", toMaps(r.getRecords(), propsOf(FREIGHT_COLUMNS)));
|
fillPage(result, r);
|
break;
|
}
|
case "investmentMonthly": {
|
java.util.List<Long> pids = new ArrayList<>();
|
if (!kw.isEmpty()) {
|
for (InvestmentProject ip : investmentProjectMapper.selectList(
|
new LambdaQueryWrapper<InvestmentProject>().like(InvestmentProject::getProjectName, kw))) {
|
pids.add(ip.getId());
|
}
|
if (pids.isEmpty()) {
|
result.put("records", new ArrayList<>());
|
result.put("total", 0L);
|
result.put("current", safePage);
|
result.put("size", safeSize);
|
break;
|
}
|
}
|
LambdaQueryWrapper<InvestmentMonthly> w = new LambdaQueryWrapper<InvestmentMonthly>()
|
.eq(notEmpty(period), InvestmentMonthly::getReportPeriod, period)
|
.in(!pids.isEmpty(), InvestmentMonthly::getProjectId, pids)
|
.orderByAsc(InvestmentMonthly::getProjectId)
|
.orderByAsc(InvestmentMonthly::getId);
|
Page<InvestmentMonthly> p = new Page<>(safePage, safeSize);
|
Page<InvestmentMonthly> r = investmentMonthlyMapper.selectPage(p, w);
|
List<Map<String, Object>> rows = toMaps(r.getRecords(), propsOf(INVEST_MONTHLY_COLUMNS));
|
fillProjectInfo(rows);
|
result.put("records", rows);
|
fillPage(result, r);
|
break;
|
}
|
case "investmentProject": {
|
LambdaQueryWrapper<InvestmentProject> w = new LambdaQueryWrapper<InvestmentProject>()
|
.like(!kw.isEmpty(), InvestmentProject::getProjectName, kw)
|
.orderByAsc(InvestmentProject::getCity)
|
.orderByAsc(InvestmentProject::getId);
|
Page<InvestmentProject> p = new Page<>(safePage, safeSize);
|
Page<InvestmentProject> r = investmentProjectMapper.selectPage(p, w);
|
result.put("records", toMaps(r.getRecords(), propsOf(INVEST_PROJECT_COLUMNS)));
|
fillPage(result, r);
|
break;
|
}
|
case "investmentSystem": {
|
LambdaQueryWrapper<InvestmentSystem> w = new LambdaQueryWrapper<InvestmentSystem>()
|
.eq(notEmpty(period), InvestmentSystem::getReportPeriod, period)
|
.like(!kw.isEmpty(), InvestmentSystem::getProjectName, kw)
|
.orderByDesc(InvestmentSystem::getId);
|
Page<InvestmentSystem> p = new Page<>(safePage, safeSize);
|
Page<InvestmentSystem> r = investmentSystemMapper.selectPage(p, w);
|
result.put("records", toMaps(r.getRecords(), propsOf(INVEST_SYSTEM_COLUMNS)));
|
fillPage(result, r);
|
break;
|
}
|
case "energyVehicle": {
|
LambdaQueryWrapper<EnergyVehicleQuarterly> w = new LambdaQueryWrapper<EnergyVehicleQuarterly>()
|
.eq(notEmpty(period), EnergyVehicleQuarterly::getReportPeriod, period)
|
.like(!kw.isEmpty(), EnergyVehicleQuarterly::getEnterpriseName, kw)
|
.orderByDesc(EnergyVehicleQuarterly::getId);
|
Page<EnergyVehicleQuarterly> p = new Page<>(safePage, safeSize);
|
Page<EnergyVehicleQuarterly> r = energyVehicleMapper.selectPage(p, w);
|
List<Map<String, Object>> rows = toMaps(r.getRecords(), propsOf(ENERGY_VEHICLE_COLUMNS));
|
fillCity(rows);
|
result.put("records", rows);
|
fillPage(result, r);
|
break;
|
}
|
case "energyAuth": {
|
LambdaQueryWrapper<EnergyAuthVehicle> w = new LambdaQueryWrapper<EnergyAuthVehicle>()
|
.eq(notEmpty(period), EnergyAuthVehicle::getReportPeriod, period)
|
.like(!kw.isEmpty(), EnergyAuthVehicle::getPlateNo, kw)
|
.orderByDesc(EnergyAuthVehicle::getId);
|
Page<EnergyAuthVehicle> p = new Page<>(safePage, safeSize);
|
Page<EnergyAuthVehicle> r = energyAuthMapper.selectPage(p, w);
|
result.put("records", toMaps(r.getRecords(), propsOf(ENERGY_AUTH_COLUMNS)));
|
fillPage(result, r);
|
break;
|
}
|
case "passengerIndividual": {
|
LambdaQueryWrapper<PassengerIndividualMonthly> w = new LambdaQueryWrapper<PassengerIndividualMonthly>()
|
.eq(notEmpty(period), PassengerIndividualMonthly::getReportPeriod, period)
|
.like(!kw.isEmpty(), PassengerIndividualMonthly::getEnterpriseName, kw)
|
.orderByDesc(PassengerIndividualMonthly::getId);
|
Page<PassengerIndividualMonthly> p = new Page<>(safePage, safeSize);
|
Page<PassengerIndividualMonthly> r = passengerIndividualMapper.selectPage(p, w);
|
List<Map<String, Object>> rows = toMaps(r.getRecords(), propsOf(PAX_INDIVIDUAL_COLUMNS));
|
fillCity(rows);
|
result.put("records", rows);
|
fillPage(result, r);
|
break;
|
}
|
case "wycTotal": {
|
LambdaQueryWrapper<WycTotalMonthly> w = new LambdaQueryWrapper<WycTotalMonthly>()
|
.eq(notEmpty(period), WycTotalMonthly::getReportPeriod, period)
|
.orderByDesc(WycTotalMonthly::getId);
|
Page<WycTotalMonthly> p = new Page<>(safePage, safeSize);
|
Page<WycTotalMonthly> r = wycTotalMapper.selectPage(p, w);
|
result.put("records", toMaps(r.getRecords(), propsOf(WYC_TOTAL_COLUMNS)));
|
fillPage(result, r);
|
break;
|
}
|
case "wycOrder": {
|
LambdaQueryWrapper<WycOrderMonthly> w = new LambdaQueryWrapper<WycOrderMonthly>()
|
.eq(notEmpty(period), WycOrderMonthly::getReportPeriod, period)
|
.orderByDesc(WycOrderMonthly::getReportPeriod);
|
List<WycOrderMonthly> list = wycOrderMapper.selectList(w);
|
List<Map<String, Object>> rows = new ArrayList<>();
|
for (WycOrderMonthly o : list) {
|
rows.addAll(wycOrderCityRows(o));
|
}
|
result.put("records", rows);
|
result.put("total", (long) rows.size());
|
result.put("current", 1L);
|
result.put("size", (long) rows.size());
|
break;
|
}
|
default:
|
result.put("records", new ArrayList<>());
|
result.put("total", 0L);
|
result.put("current", safePage);
|
result.put("size", safeSize);
|
}
|
return Result.ok(result);
|
}
|
|
/** 区划代码 -> 市州名（无法识别返回空串） */
|
private String cityOf(String regionCode) {
|
if (regionCode == null || regionCode.trim().isEmpty()) return "";
|
String city = RegionUtil.cityByCode(regionCode.trim());
|
return city == null ? "" : city;
|
}
|
|
/** 按 regionCode 派生"市州"列（企业类表通用） */
|
private void fillCity(List<Map<String, Object>> rows) {
|
for (Map<String, Object> row : rows) {
|
Object rc = row.get("regionCode");
|
row.put("city", cityOf(rc == null ? null : String.valueOf(rc)));
|
}
|
}
|
|
/** 投资月报：补项目名称与市州（原表只有 projectId，页面无法辨识项目） */
|
private void fillProjectInfo(List<Map<String, Object>> rows) {
|
java.util.Set<Long> ids = new java.util.LinkedHashSet<>();
|
for (Map<String, Object> row : rows) {
|
Object pid = row.get("projectId");
|
if (pid instanceof Number) ids.add(((Number) pid).longValue());
|
}
|
if (ids.isEmpty()) return;
|
Map<Long, InvestmentProject> byId = new LinkedHashMap<>();
|
for (InvestmentProject ip : investmentProjectMapper.selectBatchIds(ids)) {
|
byId.put(ip.getId(), ip);
|
}
|
for (Map<String, Object> row : rows) {
|
Object pid = row.get("projectId");
|
InvestmentProject ip = pid instanceof Number ? byId.get(((Number) pid).longValue()) : null;
|
row.put("projectName", ip == null ? null : ip.getProjectName());
|
row.put("city", ip == null ? null : ip.getCity());
|
}
|
}
|
|
private static double nz(Double v) {
|
return v == null ? 0.0 : v;
|
}
|
|
/** 网约车订单台账 -> 按市州竖排：全省 + 17 市州 × 指标（客运量/周转量由 WycSplitCalc 拆分口径计算） */
|
private List<Map<String, Object>> wycOrderCityRows(WycOrderMonthly o) {
|
List<Map<String, Object>> rows = new ArrayList<>();
|
List<String> cities = RegionUtil.cityList();
|
double orderSum = nz(o.getOrderSum());
|
double[] orders = { nz(o.getOrderWuhan()), nz(o.getOrderHuangshi()), nz(o.getOrderShiyan()),
|
nz(o.getOrderYichang()), nz(o.getOrderXiangyang()), nz(o.getOrderEzhou()), nz(o.getOrderJingmen()),
|
nz(o.getOrderXiaogan()), nz(o.getOrderJingzhou()), nz(o.getOrderHuanggang()), nz(o.getOrderXianning()),
|
nz(o.getOrderSuizhou()), nz(o.getOrderEnshi()), nz(o.getOrderXiantao()), nz(o.getOrderQianjiang()),
|
nz(o.getOrderTianmen()), nz(o.getOrderShennong()) };
|
|
Map<String, Object> province = new LinkedHashMap<>();
|
province.put("reportPeriod", o.getReportPeriod());
|
province.put("period", o.getReportPeriod());
|
province.put("region", "全省");
|
province.put("orderCount", orderSum);
|
province.put("orderShare", orderSum > 0 ? 1.0 : null);
|
province.put("pax", o.getPinK());
|
province.put("turnover", o.getPinZ());
|
province.put("cityPax", o.getPinCK());
|
province.put("cityTurnover", o.getPinCZ());
|
province.put("note", "全省口径直接取台账 pin 值");
|
rows.add(province);
|
|
Map<String, WycSplitCalc.WycMetrics> byCity = null;
|
String calcError = null;
|
try {
|
byCity = wycSplitCalc.calc(o.getReportPeriod()).getByCity();
|
} catch (Exception e) {
|
calcError = e.getMessage() == null ? "拆分计算失败" : e.getMessage();
|
}
|
for (int i = 0; i < cities.size() && i < orders.length; i++) {
|
String city = cities.get(i);
|
Map<String, Object> row = new LinkedHashMap<>();
|
row.put("reportPeriod", o.getReportPeriod());
|
row.put("period", o.getReportPeriod());
|
row.put("region", city);
|
row.put("orderCount", orders[i]);
|
row.put("orderShare", orderSum > 0 ? orders[i] / orderSum : null);
|
WycSplitCalc.WycMetrics m = byCity == null ? null : byCity.get(city);
|
row.put("pax", m == null ? null : m.getTotalPax());
|
row.put("turnover", m == null ? null : m.getTotalTurnover());
|
row.put("cityPax", m == null ? null : m.getCityPax());
|
row.put("cityTurnover", m == null ? null : m.getCityTurnover());
|
row.put("note", m == null ? (calcError == null ? "拆分未计算" : calcError) : "");
|
rows.add(row);
|
}
|
return rows;
|
}
|
|
private boolean notEmpty(String s) {
|
return s != null && !s.trim().isEmpty();
|
}
|
|
private void fillPage(Map<String, Object> result, Page<?> r) {
|
result.put("total", r.getTotal());
|
result.put("current", r.getCurrent());
|
result.put("size", r.getSize());
|
}
|
|
private List<Map<String, Object>> toMaps(List<?> records, String[] props) {
|
List<Map<String, Object>> list = new ArrayList<>();
|
for (Object rec : records) {
|
Map<String, Object> bean = BeanUtil.beanToMap(rec);
|
Map<String, Object> row = new LinkedHashMap<>();
|
for (String p : props) {
|
row.put(p, bean.get(p));
|
}
|
list.add(row);
|
}
|
return list;
|
}
|
|
private static String[] propsOf(List<Map<String, Object>> columns) {
|
String[] props = new String[columns.size()];
|
for (int i = 0; i < columns.size(); i++) {
|
props[i] = String.valueOf(columns.get(i).get("prop"));
|
}
|
return props;
|
}
|
|
private List<Map<String, Object>> columnsOf(String type) {
|
switch (type) {
|
case "h2032": return H2032_COLUMNS;
|
case "transportAuth": return AUTH_COLUMNS;
|
case "trackMileage": return TRACK_COLUMNS;
|
case "scaleSplit": return SPLIT_COLUMNS;
|
case "freightTurnover": return FREIGHT_COLUMNS;
|
case "h2031": return H2031_COLUMNS;
|
case "cityBus": return BUS_COLUMNS;
|
case "cityTaxi": return TAXI_COLUMNS;
|
case "cityTaxiAuth": return TAXI_AUTH_COLUMNS;
|
case "passengerAuth": return PAUTH_COLUMNS;
|
case "investmentMonthly": return INVEST_MONTHLY_COLUMNS;
|
case "investmentProject": return INVEST_PROJECT_COLUMNS;
|
case "investmentSystem": return INVEST_SYSTEM_COLUMNS;
|
case "energyVehicle": return ENERGY_VEHICLE_COLUMNS;
|
case "energyAuth": return ENERGY_AUTH_COLUMNS;
|
case "passengerIndividual": return PAX_INDIVIDUAL_COLUMNS;
|
case "wycTotal": return WYC_TOTAL_COLUMNS;
|
case "wycOrder": return WYC_ORDER_COLUMNS;
|
default: return new ArrayList<>();
|
}
|
}
|
|
private static Map<String, Object> col(String prop, String label, int width) {
|
Map<String, Object> m = new LinkedHashMap<>();
|
m.put("prop", prop);
|
m.put("label", label);
|
m.put("width", width);
|
return m;
|
|
}
|
|
private static final List<Map<String, Object>> H2032_COLUMNS = new ArrayList<>();
|
private static final List<Map<String, Object>> AUTH_COLUMNS = new ArrayList<>();
|
private static final List<Map<String, Object>> TRACK_COLUMNS = new ArrayList<>();
|
private static final List<Map<String, Object>> SPLIT_COLUMNS = new ArrayList<>();
|
private static final List<Map<String, Object>> FREIGHT_COLUMNS = new ArrayList<>();
|
private static final List<Map<String, Object>> H2031_COLUMNS = new ArrayList<>();
|
private static final List<Map<String, Object>> PAUTH_COLUMNS = new ArrayList<>();
|
private static final List<Map<String, Object>> BUS_COLUMNS = new ArrayList<>();
|
private static final List<Map<String, Object>> TAXI_COLUMNS = new ArrayList<>();
|
private static final List<Map<String, Object>> TAXI_AUTH_COLUMNS = new ArrayList<>();
|
private static final List<Map<String, Object>> INVEST_MONTHLY_COLUMNS = new ArrayList<>();
|
private static final List<Map<String, Object>> INVEST_PROJECT_COLUMNS = new ArrayList<>();
|
private static final List<Map<String, Object>> INVEST_SYSTEM_COLUMNS = new ArrayList<>();
|
private static final List<Map<String, Object>> ENERGY_VEHICLE_COLUMNS = new ArrayList<>();
|
private static final List<Map<String, Object>> ENERGY_AUTH_COLUMNS = new ArrayList<>();
|
private static final List<Map<String, Object>> PAX_INDIVIDUAL_COLUMNS = new ArrayList<>();
|
private static final List<Map<String, Object>> WYC_TOTAL_COLUMNS = new ArrayList<>();
|
private static final List<Map<String, Object>> WYC_ORDER_COLUMNS = new ArrayList<>();
|
|
static {
|
H2032_COLUMNS.add(col("reportPeriod", "报表期", 100));
|
H2032_COLUMNS.add(col("regionCode", "所属地区", 100));
|
H2032_COLUMNS.add(col("city", "市州", 110));
|
H2032_COLUMNS.add(col("enterpriseCode", "企业代码", 130));
|
H2032_COLUMNS.add(col("enterpriseName", "企业名称", 220));
|
H2032_COLUMNS.add(col("unifiedCreditCode", "统一社会信用代码", 180));
|
H2032_COLUMNS.add(col("reportUnit", "填报单位", 160));
|
H2032_COLUMNS.add(col("vehicleTotal", "车辆数合计", 110));
|
H2032_COLUMNS.add(col("tonsTotal", "标记吨位数合计(吨)", 150));
|
H2032_COLUMNS.add(col("vehicleTractor", "牵引车", 90));
|
H2032_COLUMNS.add(col("vehicleTrailer", "挂车", 90));
|
H2032_COLUMNS.add(col("tonsTrailer", "吨位-挂车", 110));
|
H2032_COLUMNS.add(col("vehicleContainer", "集装箱车", 110));
|
H2032_COLUMNS.add(col("tonsContainer", "吨位-集装箱", 120));
|
H2032_COLUMNS.add(col("vehicleWhole", "整车", 90));
|
H2032_COLUMNS.add(col("tonsWhole", "吨位-整车", 110));
|
H2032_COLUMNS.add(col("freightTotal", "货运量合计(吨)", 130));
|
H2032_COLUMNS.add(col("turnoverTotal", "周转量合计(吨公里)", 150));
|
H2032_COLUMNS.add(col("freightContainer", "货运量-集装箱", 130));
|
H2032_COLUMNS.add(col("freightCoal", "货运量-煤炭", 120));
|
H2032_COLUMNS.add(col("freightOilGas", "货运量-油气", 120));
|
H2032_COLUMNS.add(col("freightCrudeOil", "货运量-原油", 120));
|
H2032_COLUMNS.add(col("freightMetalOre", "货运量-金属矿石", 140));
|
H2032_COLUMNS.add(col("freightIronOre", "货运量-铁矿石", 130));
|
H2032_COLUMNS.add(col("freightBuilding", "货运量-建材", 120));
|
H2032_COLUMNS.add(col("freightGrain", "货运量-粮食", 120));
|
H2032_COLUMNS.add(col("avgTonnage", "平均吨位", 100));
|
H2032_COLUMNS.add(col("avgDistance", "平均运距(公里)", 120));
|
H2032_COLUMNS.add(col("unitLeader", "单位负责人", 110));
|
H2032_COLUMNS.add(col("statsLeader", "统计负责人", 110));
|
H2032_COLUMNS.add(col("contactPerson", "填表人", 100));
|
H2032_COLUMNS.add(col("contactPhone", "联系电话", 120));
|
H2032_COLUMNS.add(col("reportDate", "报出日期", 110));
|
H2032_COLUMNS.add(col("verifyExplanation", "核实解释", 200));
|
H2032_COLUMNS.add(col("reportNotes", "备注", 160));
|
|
AUTH_COLUMNS.add(col("reportPeriod", "报表期", 100));
|
AUTH_COLUMNS.add(col("enterpriseName", "企业名称", 240));
|
AUTH_COLUMNS.add(col("tractorCount", "牵引车数", 100));
|
AUTH_COLUMNS.add(col("trailerCount", "挂车数", 100));
|
AUTH_COLUMNS.add(col("otherCount", "其他车数", 100));
|
AUTH_COLUMNS.add(col("trailerTons", "挂车吨位", 110));
|
AUTH_COLUMNS.add(col("otherTons", "其他吨位", 110));
|
|
TRACK_COLUMNS.add(col("reportPeriod", "报表期", 100));
|
TRACK_COLUMNS.add(col("enterpriseName", "企业名称", 240));
|
TRACK_COLUMNS.add(col("monthlyMileage", "月度里程", 120));
|
TRACK_COLUMNS.add(col("trackedVehicles", "轨迹车辆数", 120));
|
|
SPLIT_COLUMNS.add(col("reportPeriod", "报表期", 100));
|
SPLIT_COLUMNS.add(col("periodType", "口径", 90));
|
SPLIT_COLUMNS.add(col("regionName", "市州", 130));
|
SPLIT_COLUMNS.add(col("aboveScaleFreight", "规上货运量(来源文件未提供该列)", 220));
|
SPLIT_COLUMNS.add(col("aboveScaleTurnover", "规上周转量(万吨公里)", 170));
|
SPLIT_COLUMNS.add(col("aboveScaleRank", "规上排名", 100));
|
SPLIT_COLUMNS.add(col("aboveScaleYoy", "规上同比", 100));
|
SPLIT_COLUMNS.add(col("belowScaleFreight", "规下货运量(来源文件未提供该列)", 220));
|
SPLIT_COLUMNS.add(col("belowScaleTurnover", "规下周转量(万吨公里)", 170));
|
SPLIT_COLUMNS.add(col("belowScaleRank", "规下排名", 100));
|
SPLIT_COLUMNS.add(col("belowScaleYoy", "规下同比", 100));
|
SPLIT_COLUMNS.add(col("totalFreight", "合计货运量(来源文件未提供该列)", 220));
|
SPLIT_COLUMNS.add(col("totalTurnover", "合计周转量(万吨公里)", 170));
|
SPLIT_COLUMNS.add(col("totalRank", "合计排名", 100));
|
SPLIT_COLUMNS.add(col("totalYoy", "合计同比", 100));
|
|
FREIGHT_COLUMNS.add(col("reportPeriod", "报表期", 100));
|
FREIGHT_COLUMNS.add(col("regionName", "市州", 130));
|
for (int m = 1; m <= 12; m++) {
|
FREIGHT_COLUMNS.add(col(String.format("freightM%02d", m), "货运量" + m + "月", 110));
|
}
|
for (int m = 1; m <= 12; m++) {
|
FREIGHT_COLUMNS.add(col(String.format("lastFreightM%02d", m), "去年货运量" + m + "月", 130));
|
}
|
for (int m = 1; m <= 12; m++) {
|
FREIGHT_COLUMNS.add(col(String.format("turnoverM%02d", m), "周转量" + m + "月", 120));
|
}
|
for (int m = 1; m <= 12; m++) {
|
FREIGHT_COLUMNS.add(col(String.format("lastTurnoverM%02d", m), "去年周转量" + m + "月", 140));
|
}
|
|
H2031_COLUMNS.add(col("reportPeriod", "报表期", 100));
|
H2031_COLUMNS.add(col("regionCode", "所属地区", 100));
|
H2031_COLUMNS.add(col("city", "市州", 110));
|
H2031_COLUMNS.add(col("enterpriseCode", "企业代码", 130));
|
H2031_COLUMNS.add(col("enterpriseName", "企业名称", 220));
|
H2031_COLUMNS.add(col("unifiedCreditCode", "统一社会信用代码", 180));
|
H2031_COLUMNS.add(col("reportUnit", "填报单位", 160));
|
H2031_COLUMNS.add(col("vehicleTotal", "客运车辆合计", 110));
|
H2031_COLUMNS.add(col("seatTotal", "核定载客位合计", 130));
|
H2031_COLUMNS.add(col("vehicleSchedule", "班线车辆数", 110));
|
H2031_COLUMNS.add(col("seatSchedule", "班线载客位", 110));
|
H2031_COLUMNS.add(col("vehicleCharter", "包车车辆数", 110));
|
H2031_COLUMNS.add(col("seatCharter", "包车载客位", 110));
|
H2031_COLUMNS.add(col("passengerTotal", "客运量合计(人)", 130));
|
H2031_COLUMNS.add(col("turnoverTotal", "周转量合计", 110));
|
H2031_COLUMNS.add(col("passengerClass1", "客运量一类", 110));
|
H2031_COLUMNS.add(col("passengerClass2", "客运量二类", 110));
|
H2031_COLUMNS.add(col("passengerClass3", "客运量三类", 110));
|
H2031_COLUMNS.add(col("passengerClass4", "客运量四类", 110));
|
H2031_COLUMNS.add(col("passengerCharter", "客运量包车", 110));
|
H2031_COLUMNS.add(col("turnoverClass1", "周转量一类", 110));
|
H2031_COLUMNS.add(col("turnoverClass2", "周转量二类", 110));
|
H2031_COLUMNS.add(col("turnoverClass3", "周转量三类", 110));
|
H2031_COLUMNS.add(col("turnoverClass4", "周转量四类", 110));
|
H2031_COLUMNS.add(col("turnoverCharter", "周转量包车", 110));
|
H2031_COLUMNS.add(col("avgDistanceTotal", "平均运距合计", 120));
|
H2031_COLUMNS.add(col("avgDistanceClass1", "一类平均运距", 120));
|
H2031_COLUMNS.add(col("avgDistanceClass2", "二类平均运距", 120));
|
H2031_COLUMNS.add(col("avgDistanceClass3", "三类平均运距", 120));
|
H2031_COLUMNS.add(col("avgDistanceClass4", "四类平均运距", 120));
|
H2031_COLUMNS.add(col("avgDistanceCharter", "包车平均运距", 120));
|
BUS_COLUMNS.add(col("reportPeriod", "报表期", 100));
|
BUS_COLUMNS.add(col("regionCode", "所属地区", 100));
|
BUS_COLUMNS.add(col("city", "市州", 110));
|
BUS_COLUMNS.add(col("enterpriseName", "企业名称", 220));
|
BUS_COLUMNS.add(col("opVehicles", "运营车数", 100));
|
BUS_COLUMNS.add(col("stopTotal", "站点总个数", 110));
|
BUS_COLUMNS.add(col("stopCity", "城市内站点", 110));
|
BUS_COLUMNS.add(col("passengerVolume", "客运量(万人次)", 120));
|
BUS_COLUMNS.add(col("passengerCity", "城市内客运量(万人次)", 150));
|
BUS_COLUMNS.add(col("turnover", "旅客周转量(万人公里)", 170));
|
BUS_COLUMNS.add(col("turnoverCity", "城市内周转量(万人公里)", 180));
|
BUS_COLUMNS.add(col("avgDistance", "平均运距(公里)", 120));
|
BUS_COLUMNS.add(col("avgDistanceCity", "城市内平均运距(公里)", 150));
|
BUS_COLUMNS.add(col("passengerChengxiang", "城际城乡客运量(万人次)", 160));
|
BUS_COLUMNS.add(col("turnoverChengxiang", "城际城乡周转量(万人公里)", 190));
|
BUS_COLUMNS.add(col("avgDistanceChengxiang", "城际城乡平均运距(公里)", 160));
|
BUS_COLUMNS.add(col("ratePassengerMom", "客运量环比", 100));
|
BUS_COLUMNS.add(col("ratePassengerCityMom", "城市内环比", 100));
|
BUS_COLUMNS.add(col("rateChengxiangMom", "城际城乡环比", 110));
|
BUS_COLUMNS.add(col("ratePassengerYoy", "客运量同比", 100));
|
BUS_COLUMNS.add(col("passengerCityRatio", "城市内占比", 100));
|
BUS_COLUMNS.add(col("chengxiangRatio", "城际城乡占比", 110));
|
BUS_COLUMNS.add(col("contactPerson", "填表人", 100));
|
BUS_COLUMNS.add(col("reportDate", "报出日期", 110));
|
BUS_COLUMNS.add(col("verifyExplanation", "核实解释", 220));
|
TAXI_COLUMNS.add(col("reportPeriod", "报表期", 100));
|
TAXI_COLUMNS.add(col("regionCode", "所属地区", 100));
|
TAXI_COLUMNS.add(col("city", "市州", 110));
|
TAXI_COLUMNS.add(col("tripTotal", "载客车次总数", 120));
|
TAXI_COLUMNS.add(col("tripCity", "载客车次_城市内", 130));
|
TAXI_COLUMNS.add(col("passengerVolume", "客运量(万人次)", 120));
|
TAXI_COLUMNS.add(col("passengerCity", "城市内客运量(万人次)", 150));
|
TAXI_COLUMNS.add(col("turnover", "旅客周转量(万人公里)", 170));
|
TAXI_COLUMNS.add(col("turnoverCity", "城市内周转量(万人公里)", 180));
|
TAXI_COLUMNS.add(col("opVehicles", "运营车辆数", 110));
|
TAXI_COLUMNS.add(col("avgDistance", "平均运距(公里)", 120));
|
TAXI_COLUMNS.add(col("avgDistanceCity", "城市内平均运距(公里)", 150));
|
TAXI_COLUMNS.add(col("passengersPerTrip", "单车次载客人数", 130));
|
TAXI_COLUMNS.add(col("rateTripMom", "载客车次环比", 110));
|
TAXI_COLUMNS.add(col("rateTripYoy", "载客车次同比", 110));
|
TAXI_COLUMNS.add(col("ratePassengerMom", "客运量环比", 100));
|
TAXI_COLUMNS.add(col("ratePassengerYoy", "客运量同比", 100));
|
TAXI_COLUMNS.add(col("passengerCityRatio", "城市内客运量占比", 140));
|
TAXI_COLUMNS.add(col("avgDistanceChengxiang", "城际城乡平均运距(公里)", 160));
|
TAXI_COLUMNS.add(col("verifyExplanation", "核实解释", 220));
|
TAXI_AUTH_COLUMNS.add(col("reportPeriod", "报表期", 100));
|
TAXI_AUTH_COLUMNS.add(col("city", "市州", 110));
|
TAXI_AUTH_COLUMNS.add(col("plateNo", "车牌号码", 120));
|
TAXI_AUTH_COLUMNS.add(col("vehicleType", "车辆类型", 110));
|
TAXI_AUTH_COLUMNS.add(col("fuelType", "燃料类型", 100));
|
TAXI_AUTH_COLUMNS.add(col("opStatus", "营运状态", 100));
|
TAXI_AUTH_COLUMNS.add(col("certStatus", "证件状态", 100));
|
TAXI_AUTH_COLUMNS.add(col("licenseNo", "经营权号", 130));
|
TAXI_AUTH_COLUMNS.add(col("archiveNo", "档案号", 130));
|
TAXI_AUTH_COLUMNS.add(col("roadCertNo", "道路运输证字号", 150));
|
TAXI_AUTH_COLUMNS.add(col("operatorName", "业户名称", 240));
|
TAXI_AUTH_COLUMNS.add(col("operatorAddr", "业户地址", 280));
|
PAUTH_COLUMNS.add(col("reportPeriod", "报表期", 100));
|
PAUTH_COLUMNS.add(col("enterpriseCode", "企业代码", 130));
|
PAUTH_COLUMNS.add(col("enterpriseName", "企业名称", 240));
|
PAUTH_COLUMNS.add(col("vehicleCount", "车辆数", 100));
|
PAUTH_COLUMNS.add(col("seatCount", "载客位数", 100));
|
INVEST_MONTHLY_COLUMNS.add(col("reportPeriod", "报表期", 100));
|
INVEST_MONTHLY_COLUMNS.add(col("projectId", "项目ID", 80));
|
INVEST_MONTHLY_COLUMNS.add(col("projectName", "项目名称", 280));
|
INVEST_MONTHLY_COLUMNS.add(col("city", "市州", 90));
|
INVEST_MONTHLY_COLUMNS.add(col("yearPlan", "本年计划投资(万元)", 140));
|
INVEST_MONTHLY_COLUMNS.add(col("yearCum", "自年初累计完成(万元)", 160));
|
INVEST_MONTHLY_COLUMNS.add(col("monthDone", "本月完成投资(万元)", 150));
|
INVEST_MONTHLY_COLUMNS.add(col("startCum", "自开始建设累计完成(万元)", 180));
|
INVEST_MONTHLY_COLUMNS.add(col("progressStage", "建设阶段", 120));
|
INVEST_MONTHLY_COLUMNS.add(col("progressDesc", "形象进度", 320));
|
INVEST_MONTHLY_COLUMNS.add(col("buildingArea", "建筑面积", 110));
|
INVEST_PROJECT_COLUMNS.add(col("projectName", "项目名称", 260));
|
INVEST_PROJECT_COLUMNS.add(col("category", "类别", 100));
|
INVEST_PROJECT_COLUMNS.add(col("city", "市州", 90));
|
INVEST_PROJECT_COLUMNS.add(col("county", "县（市、区）", 120));
|
INVEST_PROJECT_COLUMNS.add(col("builderName", "建设单位", 200));
|
INVEST_PROJECT_COLUMNS.add(col("constructNature", "建设性质", 100));
|
INVEST_PROJECT_COLUMNS.add(col("startTime", "开工年", 90));
|
INVEST_PROJECT_COLUMNS.add(col("endTime", "完工年", 90));
|
INVEST_PROJECT_COLUMNS.add(col("totalInvestment", "总投资(万元)", 130));
|
INVEST_PROJECT_COLUMNS.add(col("buildingArea", "建筑面积", 110));
|
INVEST_PROJECT_COLUMNS.add(col("approvalGk", "工可或核准批复文号", 200));
|
INVEST_PROJECT_COLUMNS.add(col("approvalCs", "初设或施工图批复文号", 200));
|
INVEST_PROJECT_COLUMNS.add(col("source", "来源", 100));
|
INVEST_SYSTEM_COLUMNS.add(col("reportPeriod", "报表期", 100));
|
INVEST_SYSTEM_COLUMNS.add(col("projectName", "项目名称", 260));
|
INVEST_SYSTEM_COLUMNS.add(col("totalInvestment", "总投资(万元)", 130));
|
INVEST_SYSTEM_COLUMNS.add(col("startCum", "自开始建设累计完成(万元)", 180));
|
INVEST_SYSTEM_COLUMNS.add(col("yearPlan", "本年计划投资(万元)", 140));
|
INVEST_SYSTEM_COLUMNS.add(col("yearCum", "自年初累计完成(万元)", 160));
|
INVEST_SYSTEM_COLUMNS.add(col("monthDone", "本月完成投资(万元)", 150));
|
ENERGY_VEHICLE_COLUMNS.add(col("reportPeriod", "报表期", 100));
|
ENERGY_VEHICLE_COLUMNS.add(col("regionCode", "所属地区", 100));
|
ENERGY_VEHICLE_COLUMNS.add(col("city", "市州", 110));
|
ENERGY_VEHICLE_COLUMNS.add(col("enterpriseName", "企业名称", 220));
|
ENERGY_VEHICLE_COLUMNS.add(col("plateNo", "车牌号", 110));
|
ENERGY_VEHICLE_COLUMNS.add(col("vehicleType", "车辆类型", 130));
|
ENERGY_VEHICLE_COLUMNS.add(col("fuelType", "燃料类型", 110));
|
ENERGY_VEHICLE_COLUMNS.add(col("manufactureYear", "出厂年份", 100));
|
ENERGY_VEHICLE_COLUMNS.add(col("markedTonnage", "标记吨位", 100));
|
ENERGY_VEHICLE_COLUMNS.add(col("totalMileage", "总行驶里程(公里)", 150));
|
ENERGY_VEHICLE_COLUMNS.add(col("loadedMileage", "重载里程(公里)", 140));
|
ENERGY_VEHICLE_COLUMNS.add(col("emptyMileage", "空载里程(公里)", 140));
|
ENERGY_VEHICLE_COLUMNS.add(col("freight", "货运量(吨)", 120));
|
ENERGY_VEHICLE_COLUMNS.add(col("turnover", "周转量(吨公里)", 140));
|
ENERGY_VEHICLE_COLUMNS.add(col("tripCount", "车次", 90));
|
ENERGY_VEHICLE_COLUMNS.add(col("fuelUnit", "燃料单位", 100));
|
ENERGY_VEHICLE_COLUMNS.add(col("fuelConsumption", "燃料消耗量", 120));
|
ENERGY_VEHICLE_COLUMNS.add(col("avgDistance", "平均运距", 110));
|
ENERGY_VEHICLE_COLUMNS.add(col("avgLoadedTonnage", "平均载重吨位", 130));
|
ENERGY_VEHICLE_COLUMNS.add(col("avgTripMileage", "平均车次里程", 130));
|
ENERGY_VEHICLE_COLUMNS.add(col("fuelPer100km", "百公里油耗", 120));
|
ENERGY_VEHICLE_COLUMNS.add(col("turnoverFuel", "周转量油耗", 120));
|
ENERGY_AUTH_COLUMNS.add(col("reportPeriod", "报表期", 100));
|
ENERGY_AUTH_COLUMNS.add(col("plateNo", "车牌号", 110));
|
ENERGY_AUTH_COLUMNS.add(col("vehicleType", "车辆类型", 130));
|
ENERGY_AUTH_COLUMNS.add(col("fuelType", "燃料类型", 110));
|
ENERGY_AUTH_COLUMNS.add(col("markedTonnage", "标记吨位", 100));
|
ENERGY_AUTH_COLUMNS.add(col("tractionQuality", "牵引质量", 110));
|
|
PAX_INDIVIDUAL_COLUMNS.add(col("reportPeriod", "报表期", 100));
|
PAX_INDIVIDUAL_COLUMNS.add(col("regionCode", "所属地区", 110));
|
PAX_INDIVIDUAL_COLUMNS.add(col("city", "市州", 110));
|
PAX_INDIVIDUAL_COLUMNS.add(col("enterpriseCode", "企业代码", 130));
|
PAX_INDIVIDUAL_COLUMNS.add(col("enterpriseName", "企业名称", 220));
|
PAX_INDIVIDUAL_COLUMNS.add(col("passengerCount", "个体客运量", 130));
|
PAX_INDIVIDUAL_COLUMNS.add(col("turnover", "个体旅客周转量", 150));
|
|
WYC_TOTAL_COLUMNS.add(col("reportPeriod", "报表期", 100));
|
WYC_TOTAL_COLUMNS.add(col("pinK", "全省网约车客运量(万人次)", 210));
|
WYC_TOTAL_COLUMNS.add(col("pinCK", "其中城市内客运量(万人次)", 210));
|
WYC_TOTAL_COLUMNS.add(col("pinZ", "全省网约车周转量(万人公里)", 220));
|
WYC_TOTAL_COLUMNS.add(col("pinCZ", "其中城市内周转量(万人公里)", 220));
|
|
WYC_ORDER_COLUMNS.add(col("region", "地区", 110));
|
WYC_ORDER_COLUMNS.add(col("period", "期间", 100));
|
WYC_ORDER_COLUMNS.add(col("orderCount", "订单数(单)", 130));
|
WYC_ORDER_COLUMNS.add(col("orderShare", "订单占比", 100));
|
WYC_ORDER_COLUMNS.add(col("pax", "客运量(万人次)", 140));
|
WYC_ORDER_COLUMNS.add(col("turnover", "旅客周转量(万人公里)", 180));
|
WYC_ORDER_COLUMNS.add(col("cityPax", "其中城市内客运量(万人次)", 190));
|
WYC_ORDER_COLUMNS.add(col("cityTurnover", "其中城市内旅客周转量(万人公里)", 230));
|
WYC_ORDER_COLUMNS.add(col("note", "说明", 200));
|
|
}
|
}
|
