package com.trafficaudit.dataimport.controller;
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import cn.hutool.core.bean.BeanUtil;
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import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
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import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
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import com.trafficaudit.common.Result;
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import com.trafficaudit.dataimport.entity.FreightTurnoverImport;
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import com.trafficaudit.dataimport.entity.H2032EnterpriseMonthly;
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import com.trafficaudit.dataimport.entity.PassengerAuthVehicle;
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import com.trafficaudit.dataimport.entity.CityBusMonthly;
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import com.trafficaudit.dataimport.entity.CityTaxiAuth;
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import com.trafficaudit.dataimport.entity.CityTaxiMonthly;
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import com.trafficaudit.dataimport.entity.PassengerEnterpriseMonthly;
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import com.trafficaudit.dataimport.entity.ScaleSplitTransport;
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import com.trafficaudit.dataimport.entity.TransportAuthVehicle;
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import com.trafficaudit.dataimport.entity.VehicleTrackMileage;
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import com.trafficaudit.dataimport.mapper.FreightTurnoverImportMapper;
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import com.trafficaudit.dataimport.mapper.H2032EnterpriseMonthlyMapper;
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import com.trafficaudit.dataimport.mapper.PassengerAuthVehicleMapper;
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import com.trafficaudit.dataimport.mapper.CityBusMonthlyMapper;
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import com.trafficaudit.dataimport.mapper.CityTaxiAuthMapper;
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import com.trafficaudit.dataimport.mapper.CityTaxiMonthlyMapper;
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import com.trafficaudit.dataimport.mapper.PassengerEnterpriseMonthlyMapper;
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import com.trafficaudit.dataimport.mapper.ScaleSplitTransportMapper;
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import com.trafficaudit.dataimport.mapper.TransportAuthVehicleMapper;
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import com.trafficaudit.dataimport.mapper.VehicleTrackMileageMapper;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.web.bind.annotation.GetMapping;
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import org.springframework.web.bind.annotation.RequestMapping;
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import org.springframework.web.bind.annotation.RequestParam;
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import org.springframework.web.bind.annotation.RestController;
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import javax.annotation.Resource;
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import java.util.ArrayList;
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import java.util.LinkedHashMap;
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import java.util.List;
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import java.util.Map;
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/**
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* 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
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*/
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@Slf4j
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@RestController
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@RequestMapping("/api/data")
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public class DataViewController {
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@Resource
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private H2032EnterpriseMonthlyMapper h2032Mapper;
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@Resource
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private TransportAuthVehicleMapper transportAuthMapper;
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@Resource
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private VehicleTrackMileageMapper trackMileageMapper;
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@Resource
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private ScaleSplitTransportMapper scaleSplitMapper;
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@Resource
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private FreightTurnoverImportMapper freightTurnoverMapper;
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@Resource
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private PassengerEnterpriseMonthlyMapper passengerMapper;
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@Resource
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private PassengerAuthVehicleMapper passengerAuthMapper;
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@Resource
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private CityBusMonthlyMapper cityBusMapper;
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@Resource
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private CityTaxiMonthlyMapper cityTaxiMapper;
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@Resource
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private CityTaxiAuthMapper cityTaxiAuthMapper;
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@GetMapping("/list")
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public Result<Map<String, Object>> list(@RequestParam("type") String type,
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@RequestParam(value = "period", required = false) String period,
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@RequestParam(value = "keyword", required = false) String keyword,
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@RequestParam(value = "page", defaultValue = "1") long page,
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@RequestParam(value = "size", defaultValue = "20") long size) {
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String kw = keyword == null ? "" : keyword.trim();
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long safePage = Math.max(page, 1);
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long safeSize = Math.min(Math.max(size, 1), 200);
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Map<String, Object> result = new LinkedHashMap<>();
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result.put("type", type);
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result.put("columns", columnsOf(type));
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switch (type) {
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case "h2032": {
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LambdaQueryWrapper<H2032EnterpriseMonthly> w = new LambdaQueryWrapper<H2032EnterpriseMonthly>()
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.eq(notEmpty(period), H2032EnterpriseMonthly::getReportPeriod, period)
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.like(!kw.isEmpty(), H2032EnterpriseMonthly::getEnterpriseName, kw)
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.orderByDesc(H2032EnterpriseMonthly::getId);
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Page<H2032EnterpriseMonthly> p = new Page<>(safePage, safeSize);
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Page<H2032EnterpriseMonthly> r = h2032Mapper.selectPage(p, w);
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result.put("records", toMaps(r.getRecords(), propsOf(H2032_COLUMNS)));
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fillPage(result, r);
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break;
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}
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case "transportAuth": {
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LambdaQueryWrapper<TransportAuthVehicle> w = new LambdaQueryWrapper<TransportAuthVehicle>()
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.eq(notEmpty(period), TransportAuthVehicle::getReportPeriod, period)
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.like(!kw.isEmpty(), TransportAuthVehicle::getEnterpriseName, kw)
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.orderByDesc(TransportAuthVehicle::getId);
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Page<TransportAuthVehicle> p = new Page<>(safePage, safeSize);
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Page<TransportAuthVehicle> r = transportAuthMapper.selectPage(p, w);
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result.put("records", toMaps(r.getRecords(), propsOf(AUTH_COLUMNS)));
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fillPage(result, r);
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break;
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}
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case "trackMileage": {
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LambdaQueryWrapper<VehicleTrackMileage> w = new LambdaQueryWrapper<VehicleTrackMileage>()
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.eq(notEmpty(period), VehicleTrackMileage::getReportPeriod, period)
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.like(!kw.isEmpty(), VehicleTrackMileage::getEnterpriseName, kw)
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.orderByDesc(VehicleTrackMileage::getId);
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Page<VehicleTrackMileage> p = new Page<>(safePage, safeSize);
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Page<VehicleTrackMileage> r = trackMileageMapper.selectPage(p, w);
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result.put("records", toMaps(r.getRecords(), propsOf(TRACK_COLUMNS)));
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fillPage(result, r);
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break;
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}
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case "scaleSplit": {
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LambdaQueryWrapper<ScaleSplitTransport> w = new LambdaQueryWrapper<ScaleSplitTransport>()
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.eq(notEmpty(period), ScaleSplitTransport::getReportPeriod, period)
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.like(!kw.isEmpty(), ScaleSplitTransport::getRegionName, kw)
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.orderByDesc(ScaleSplitTransport::getId);
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Page<ScaleSplitTransport> p = new Page<>(safePage, safeSize);
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Page<ScaleSplitTransport> r = scaleSplitMapper.selectPage(p, w);
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List<Map<String, Object>> rows = toMaps(r.getRecords(), propsOf(SPLIT_COLUMNS));
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for (Map<String, Object> row : rows) {
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Object pt = row.get("periodType");
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if ("MONTH".equals(pt)) {
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row.put("periodType", "当月");
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} else if ("CUMULATIVE".equals(pt)) {
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row.put("periodType", "累计");
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}
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}
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result.put("records", rows);
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fillPage(result, r);
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break;
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}
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case "h2031": {
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LambdaQueryWrapper<PassengerEnterpriseMonthly> w = new LambdaQueryWrapper<PassengerEnterpriseMonthly>()
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.eq(notEmpty(period), PassengerEnterpriseMonthly::getReportPeriod, period)
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.like(!kw.isEmpty(), PassengerEnterpriseMonthly::getEnterpriseName, kw)
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.orderByDesc(PassengerEnterpriseMonthly::getId);
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Page<PassengerEnterpriseMonthly> p = new Page<>(safePage, safeSize);
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Page<PassengerEnterpriseMonthly> r = passengerMapper.selectPage(p, w);
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result.put("records", toMaps(r.getRecords(), propsOf(H2031_COLUMNS)));
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fillPage(result, r);
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break;
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}
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case "cityBus": {
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LambdaQueryWrapper<CityBusMonthly> w = new LambdaQueryWrapper<CityBusMonthly>()
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.eq(notEmpty(period), CityBusMonthly::getReportPeriod, period)
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.like(!kw.isEmpty(), CityBusMonthly::getEnterpriseName, kw)
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.orderByDesc(CityBusMonthly::getId);
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Page<CityBusMonthly> p = new Page<>(safePage, safeSize);
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Page<CityBusMonthly> r = cityBusMapper.selectPage(p, w);
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result.put("records", toMaps(r.getRecords(), propsOf(BUS_COLUMNS)));
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fillPage(result, r);
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break;
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}
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case "cityTaxi": {
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LambdaQueryWrapper<CityTaxiMonthly> w = new LambdaQueryWrapper<CityTaxiMonthly>()
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.eq(notEmpty(period), CityTaxiMonthly::getReportPeriod, period)
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.like(!kw.isEmpty(), CityTaxiMonthly::getCity, kw)
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.orderByAsc(CityTaxiMonthly::getId);
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Page<CityTaxiMonthly> p = new Page<>(safePage, safeSize);
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Page<CityTaxiMonthly> r = cityTaxiMapper.selectPage(p, w);
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result.put("records", toMaps(r.getRecords(), propsOf(TAXI_COLUMNS)));
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fillPage(result, r);
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break;
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}
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case "cityTaxiAuth": {
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LambdaQueryWrapper<CityTaxiAuth> w = new LambdaQueryWrapper<CityTaxiAuth>()
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.eq(notEmpty(period), CityTaxiAuth::getReportPeriod, period)
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.like(!kw.isEmpty(), CityTaxiAuth::getCity, kw)
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.orderByDesc(CityTaxiAuth::getId);
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Page<CityTaxiAuth> p = new Page<>(safePage, safeSize);
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Page<CityTaxiAuth> r = cityTaxiAuthMapper.selectPage(p, w);
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result.put("records", toMaps(r.getRecords(), propsOf(TAXI_AUTH_COLUMNS)));
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fillPage(result, r);
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break;
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}
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case "passengerAuth": {
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LambdaQueryWrapper<PassengerAuthVehicle> w = new LambdaQueryWrapper<PassengerAuthVehicle>()
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.eq(notEmpty(period), PassengerAuthVehicle::getReportPeriod, period)
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.like(!kw.isEmpty(), PassengerAuthVehicle::getEnterpriseName, kw)
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.orderByDesc(PassengerAuthVehicle::getId);
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Page<PassengerAuthVehicle> p = new Page<>(safePage, safeSize);
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Page<PassengerAuthVehicle> r = passengerAuthMapper.selectPage(p, w);
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result.put("records", toMaps(r.getRecords(), propsOf(PAUTH_COLUMNS)));
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fillPage(result, r);
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break;
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}
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case "freightTurnover": {
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LambdaQueryWrapper<FreightTurnoverImport> w = new LambdaQueryWrapper<FreightTurnoverImport>()
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.eq(notEmpty(period), FreightTurnoverImport::getReportPeriod, period)
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.like(!kw.isEmpty(), FreightTurnoverImport::getRegionName, kw)
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.orderByDesc(FreightTurnoverImport::getId);
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Page<FreightTurnoverImport> p = new Page<>(safePage, safeSize);
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Page<FreightTurnoverImport> r = freightTurnoverMapper.selectPage(p, w);
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result.put("records", toMaps(r.getRecords(), propsOf(FREIGHT_COLUMNS)));
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fillPage(result, r);
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break;
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}
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default:
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result.put("records", new ArrayList<>());
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result.put("total", 0L);
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result.put("current", safePage);
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result.put("size", safeSize);
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}
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return Result.ok(result);
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}
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private boolean notEmpty(String s) {
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return s != null && !s.trim().isEmpty();
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}
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private void fillPage(Map<String, Object> result, Page<?> r) {
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result.put("total", r.getTotal());
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result.put("current", r.getCurrent());
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result.put("size", r.getSize());
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}
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private List<Map<String, Object>> toMaps(List<?> records, String[] props) {
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List<Map<String, Object>> list = new ArrayList<>();
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for (Object rec : records) {
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Map<String, Object> bean = BeanUtil.beanToMap(rec);
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Map<String, Object> row = new LinkedHashMap<>();
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for (String p : props) {
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row.put(p, bean.get(p));
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}
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list.add(row);
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}
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return list;
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}
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private static String[] propsOf(List<Map<String, Object>> columns) {
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String[] props = new String[columns.size()];
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for (int i = 0; i < columns.size(); i++) {
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props[i] = String.valueOf(columns.get(i).get("prop"));
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}
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return props;
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}
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private List<Map<String, Object>> columnsOf(String type) {
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switch (type) {
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case "h2032": return H2032_COLUMNS;
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case "transportAuth": return AUTH_COLUMNS;
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case "trackMileage": return TRACK_COLUMNS;
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case "scaleSplit": return SPLIT_COLUMNS;
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case "freightTurnover": return FREIGHT_COLUMNS;
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case "h2031": return H2031_COLUMNS;
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case "cityBus": return BUS_COLUMNS;
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case "cityTaxi": return TAXI_COLUMNS;
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case "cityTaxiAuth": return TAXI_AUTH_COLUMNS;
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case "passengerAuth": return PAUTH_COLUMNS;
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default: return new ArrayList<>();
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}
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}
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private static Map<String, Object> col(String prop, String label, int width) {
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Map<String, Object> m = new LinkedHashMap<>();
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m.put("prop", prop);
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m.put("label", label);
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m.put("width", width);
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return m;
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}
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private static final List<Map<String, Object>> H2032_COLUMNS = new ArrayList<>();
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private static final List<Map<String, Object>> AUTH_COLUMNS = new ArrayList<>();
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private static final List<Map<String, Object>> TRACK_COLUMNS = new ArrayList<>();
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private static final List<Map<String, Object>> SPLIT_COLUMNS = new ArrayList<>();
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private static final List<Map<String, Object>> FREIGHT_COLUMNS = new ArrayList<>();
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private static final List<Map<String, Object>> H2031_COLUMNS = new ArrayList<>();
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private static final List<Map<String, Object>> PAUTH_COLUMNS = new ArrayList<>();
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private static final List<Map<String, Object>> BUS_COLUMNS = new ArrayList<>();
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private static final List<Map<String, Object>> TAXI_COLUMNS = new ArrayList<>();
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private static final List<Map<String, Object>> TAXI_AUTH_COLUMNS = new ArrayList<>();
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static {
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H2032_COLUMNS.add(col("reportPeriod", "报表期", 100));
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H2032_COLUMNS.add(col("regionCode", "所属地区", 100));
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H2032_COLUMNS.add(col("enterpriseCode", "企业代码", 130));
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H2032_COLUMNS.add(col("enterpriseName", "企业名称", 220));
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H2032_COLUMNS.add(col("unifiedCreditCode", "统一社会信用代码", 180));
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H2032_COLUMNS.add(col("reportUnit", "填报单位", 160));
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H2032_COLUMNS.add(col("vehicleTotal", "车辆数合计", 110));
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H2032_COLUMNS.add(col("tonsTotal", "标记吨位数合计", 130));
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H2032_COLUMNS.add(col("vehicleTractor", "牵引车", 90));
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H2032_COLUMNS.add(col("vehicleTrailer", "挂车", 90));
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H2032_COLUMNS.add(col("tonsTrailer", "吨位-挂车", 110));
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H2032_COLUMNS.add(col("vehicleContainer", "集装箱车", 110));
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H2032_COLUMNS.add(col("tonsContainer", "吨位-集装箱", 120));
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H2032_COLUMNS.add(col("vehicleWhole", "整车", 90));
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H2032_COLUMNS.add(col("tonsWhole", "吨位-整车", 110));
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H2032_COLUMNS.add(col("freightTotal", "货运量合计", 110));
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H2032_COLUMNS.add(col("turnoverTotal", "周转量合计", 110));
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H2032_COLUMNS.add(col("freightContainer", "货运量-集装箱", 130));
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H2032_COLUMNS.add(col("freightCoal", "货运量-煤炭", 120));
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H2032_COLUMNS.add(col("freightOilGas", "货运量-油气", 120));
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H2032_COLUMNS.add(col("freightCrudeOil", "货运量-原油", 120));
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H2032_COLUMNS.add(col("freightMetalOre", "货运量-金属矿石", 140));
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H2032_COLUMNS.add(col("freightIronOre", "货运量-铁矿石", 130));
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H2032_COLUMNS.add(col("freightBuilding", "货运量-建材", 120));
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H2032_COLUMNS.add(col("freightGrain", "货运量-粮食", 120));
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H2032_COLUMNS.add(col("avgTonnage", "平均吨位", 100));
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H2032_COLUMNS.add(col("avgDistance", "平均运距", 100));
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H2032_COLUMNS.add(col("unitLeader", "单位负责人", 110));
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H2032_COLUMNS.add(col("statsLeader", "统计负责人", 110));
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H2032_COLUMNS.add(col("contactPerson", "填表人", 100));
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H2032_COLUMNS.add(col("contactPhone", "联系电话", 120));
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H2032_COLUMNS.add(col("reportDate", "报出日期", 110));
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H2032_COLUMNS.add(col("verifyExplanation", "核实解释", 200));
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H2032_COLUMNS.add(col("reportNotes", "备注", 160));
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AUTH_COLUMNS.add(col("reportPeriod", "报表期", 100));
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AUTH_COLUMNS.add(col("enterpriseName", "企业名称", 240));
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AUTH_COLUMNS.add(col("tractorCount", "牵引车数", 100));
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AUTH_COLUMNS.add(col("trailerCount", "挂车数", 100));
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AUTH_COLUMNS.add(col("otherCount", "其他车数", 100));
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AUTH_COLUMNS.add(col("trailerTons", "挂车吨位", 110));
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AUTH_COLUMNS.add(col("otherTons", "其他吨位", 110));
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TRACK_COLUMNS.add(col("reportPeriod", "报表期", 100));
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TRACK_COLUMNS.add(col("enterpriseName", "企业名称", 240));
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TRACK_COLUMNS.add(col("monthlyMileage", "月度里程", 120));
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TRACK_COLUMNS.add(col("trackedVehicles", "轨迹车辆数", 120));
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SPLIT_COLUMNS.add(col("reportPeriod", "报表期", 100));
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SPLIT_COLUMNS.add(col("periodType", "口径", 90));
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SPLIT_COLUMNS.add(col("regionName", "市州", 130));
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SPLIT_COLUMNS.add(col("aboveScaleFreight", "规上货运量", 120));
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SPLIT_COLUMNS.add(col("aboveScaleTurnover", "规上周转量", 120));
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SPLIT_COLUMNS.add(col("aboveScaleRank", "规上排名", 100));
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SPLIT_COLUMNS.add(col("aboveScaleYoy", "规上同比", 100));
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SPLIT_COLUMNS.add(col("belowScaleFreight", "规下货运量", 120));
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SPLIT_COLUMNS.add(col("belowScaleTurnover", "规下周转量", 120));
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SPLIT_COLUMNS.add(col("belowScaleRank", "规下排名", 100));
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SPLIT_COLUMNS.add(col("belowScaleYoy", "规下同比", 100));
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SPLIT_COLUMNS.add(col("totalFreight", "合计货运量", 120));
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SPLIT_COLUMNS.add(col("totalTurnover", "合计周转量", 120));
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SPLIT_COLUMNS.add(col("totalRank", "合计排名", 100));
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SPLIT_COLUMNS.add(col("totalYoy", "合计同比", 100));
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FREIGHT_COLUMNS.add(col("reportPeriod", "报表期", 100));
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FREIGHT_COLUMNS.add(col("regionName", "市州", 130));
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for (int m = 1; m <= 12; m++) {
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FREIGHT_COLUMNS.add(col(String.format("freightM%02d", m), "货运量" + m + "月", 110));
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}
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for (int m = 1; m <= 12; m++) {
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FREIGHT_COLUMNS.add(col(String.format("lastFreightM%02d", m), "去年货运量" + m + "月", 130));
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}
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for (int m = 1; m <= 12; m++) {
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FREIGHT_COLUMNS.add(col(String.format("turnoverM%02d", m), "周转量" + m + "月", 120));
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}
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for (int m = 1; m <= 12; m++) {
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FREIGHT_COLUMNS.add(col(String.format("lastTurnoverM%02d", m), "去年周转量" + m + "月", 140));
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}
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H2031_COLUMNS.add(col("reportPeriod", "报表期", 100));
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H2031_COLUMNS.add(col("regionCode", "所属地区", 100));
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H2031_COLUMNS.add(col("enterpriseCode", "企业代码", 130));
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H2031_COLUMNS.add(col("enterpriseName", "企业名称", 220));
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H2031_COLUMNS.add(col("vehicleTotal", "客运车辆合计", 110));
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H2031_COLUMNS.add(col("seatTotal", "核定载客位合计", 130));
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H2031_COLUMNS.add(col("vehicleSchedule", "班线车辆数", 110));
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H2031_COLUMNS.add(col("seatSchedule", "班线载客位", 110));
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H2031_COLUMNS.add(col("vehicleCharter", "包车车辆数", 110));
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H2031_COLUMNS.add(col("seatCharter", "包车载客位", 110));
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H2031_COLUMNS.add(col("passengerTotal", "客运量合计", 110));
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H2031_COLUMNS.add(col("turnoverTotal", "周转量合计", 110));
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H2031_COLUMNS.add(col("passengerClass1", "客运量一类", 110));
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H2031_COLUMNS.add(col("passengerClass2", "客运量二类", 110));
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H2031_COLUMNS.add(col("passengerClass3", "客运量三类", 110));
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H2031_COLUMNS.add(col("passengerClass4", "客运量四类", 110));
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H2031_COLUMNS.add(col("passengerCharter", "客运量包车", 110));
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H2031_COLUMNS.add(col("turnoverClass1", "周转量一类", 110));
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H2031_COLUMNS.add(col("turnoverClass2", "周转量二类", 110));
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H2031_COLUMNS.add(col("turnoverClass3", "周转量三类", 110));
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H2031_COLUMNS.add(col("turnoverClass4", "周转量四类", 110));
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H2031_COLUMNS.add(col("turnoverCharter", "周转量包车", 110));
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H2031_COLUMNS.add(col("avgDistanceTotal", "平均运距合计", 120));
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H2031_COLUMNS.add(col("avgDistanceClass1", "一类平均运距", 120));
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H2031_COLUMNS.add(col("avgDistanceClass2", "二类平均运距", 120));
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H2031_COLUMNS.add(col("avgDistanceClass3", "三类平均运距", 120));
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H2031_COLUMNS.add(col("avgDistanceClass4", "四类平均运距", 120));
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H2031_COLUMNS.add(col("avgDistanceCharter", "包车平均运距", 120));
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BUS_COLUMNS.add(col("reportPeriod", "报表期", 100));
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BUS_COLUMNS.add(col("regionCode", "所属地区", 100));
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BUS_COLUMNS.add(col("city", "市州", 110));
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BUS_COLUMNS.add(col("enterpriseName", "企业名称", 220));
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BUS_COLUMNS.add(col("opVehicles", "运营车数", 100));
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BUS_COLUMNS.add(col("stopTotal", "站点总个数", 110));
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BUS_COLUMNS.add(col("stopCity", "城市内站点", 110));
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BUS_COLUMNS.add(col("passengerVolume", "客运量", 100));
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BUS_COLUMNS.add(col("passengerCity", "城市内客运量", 120));
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BUS_COLUMNS.add(col("turnover", "旅客周转量", 110));
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BUS_COLUMNS.add(col("turnoverCity", "城市内周转量", 120));
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BUS_COLUMNS.add(col("avgDistance", "平均运距", 100));
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BUS_COLUMNS.add(col("avgDistanceCity", "城市内平均运距", 130));
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BUS_COLUMNS.add(col("passengerChengxiang", "城际城乡客运量", 130));
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BUS_COLUMNS.add(col("turnoverChengxiang", "城际城乡周转量", 130));
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BUS_COLUMNS.add(col("avgDistanceChengxiang", "城际城乡平均运距", 140));
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BUS_COLUMNS.add(col("ratePassengerMom", "客运量环比", 100));
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BUS_COLUMNS.add(col("ratePassengerCityMom", "城市内环比", 100));
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BUS_COLUMNS.add(col("rateChengxiangMom", "城际城乡环比", 110));
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BUS_COLUMNS.add(col("ratePassengerYoy", "客运量同比", 100));
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BUS_COLUMNS.add(col("passengerCityRatio", "城市内占比", 100));
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BUS_COLUMNS.add(col("chengxiangRatio", "城际城乡占比", 110));
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BUS_COLUMNS.add(col("contactPerson", "填表人", 100));
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BUS_COLUMNS.add(col("reportDate", "报出日期", 110));
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BUS_COLUMNS.add(col("verifyExplanation", "核实解释", 220));
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TAXI_COLUMNS.add(col("reportPeriod", "报表期", 100));
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TAXI_COLUMNS.add(col("regionCode", "所属地区", 100));
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TAXI_COLUMNS.add(col("city", "市州", 110));
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TAXI_COLUMNS.add(col("tripTotal", "载客车次总数", 120));
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TAXI_COLUMNS.add(col("tripCity", "载客车次_城市内", 130));
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TAXI_COLUMNS.add(col("passengerVolume", "客运量", 100));
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TAXI_COLUMNS.add(col("passengerCity", "城市内客运量", 120));
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TAXI_COLUMNS.add(col("turnover", "旅客周转量", 110));
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TAXI_COLUMNS.add(col("turnoverCity", "城市内周转量", 120));
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TAXI_COLUMNS.add(col("opVehicles", "运营车辆数", 110));
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TAXI_COLUMNS.add(col("avgDistance", "平均运距", 100));
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TAXI_COLUMNS.add(col("avgDistanceCity", "城市内平均运距", 130));
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TAXI_COLUMNS.add(col("passengersPerTrip", "单车次载客人数", 130));
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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", 140));
|
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));
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}
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}
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