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package com.yihu.wlyy.service.app.statistics;
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import com.yihu.wlyy.entity.address.Town;
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import com.yihu.wlyy.entity.doctor.team.admin.AdminTeam;
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import com.yihu.wlyy.entity.organization.Hospital;
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import com.yihu.wlyy.entity.statistics.PopulationBase;
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import com.yihu.wlyy.repository.address.CityDao;
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import com.yihu.wlyy.repository.address.TownDao;
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import com.yihu.wlyy.repository.doctor.DoctorAdminTeamDao;
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import com.yihu.wlyy.repository.doctor.DoctorDao;
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import com.yihu.wlyy.repository.organization.HospitalDao;
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import com.yihu.wlyy.repository.statistics.PopulationBaseDao;
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import com.yihu.wlyy.service.BaseService;
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import com.yihu.wlyy.util.DateUtil;
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import org.json.JSONArray;
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import org.json.JSONObject;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.data.redis.core.StringRedisTemplate;
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import org.springframework.jdbc.core.JdbcTemplate;
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import org.springframework.stereotype.Service;
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import org.springframework.util.StringUtils;
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import java.text.DecimalFormat;
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import java.text.ParseException;
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import java.text.SimpleDateFormat;
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import java.util.*;
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/**
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* Created by lyr-pc on 2016/10/21.
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*/
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@Service
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public class StatisticsAllService extends BaseService {
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@Autowired
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CityDao cityDao;
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@Autowired
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TownDao townDao;
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@Autowired
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DoctorDao doctorDao;
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@Autowired
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HospitalDao hospitalDao;
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@Autowired
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DoctorAdminTeamDao adminTeamDao;
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@Autowired
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JdbcTemplate jdbcTemplate;
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@Autowired
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PopulationBaseDao peopleNumDao;
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@Autowired
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private StringRedisTemplate redisTemplate;
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/**
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* 获取时间戳
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*
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* @return
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*/
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public String getQuotaTimeStamp() {
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return redisTemplate.opsForValue().get("quota:timeKey");
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}
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/**
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* 获取一级指标达到量
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*
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* @param endDate 截止日期
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* @param area 区域
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* @param index 指标
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* @param level 级别
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* @return
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*/
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public long getIndexTotal(String endDate, String area, int level, String index) {
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long total = 0;
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SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd");
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if (endDate.compareTo(dateFormat.format(new Date())) >= 0) {
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String val = redisTemplate.opsForValue().get("quota:" + index + ":" + level + ":" + area + ":" + getQuotaTimeStamp());
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if (!StringUtils.isEmpty(val)) {
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JSONObject valJson = new JSONObject(val);
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if (valJson.has("num")) {
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total = valJson.getInt("num");
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}
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}
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} else {
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// 查询语句
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String sql = " select " +
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" ifnull(result,'0') amount" +
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" from " +
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" wlyy_quota_result " +
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" where " +
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" quato_code = ? " +
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" and level1_type = ? and del = '1'" +
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" and quota_date = ? ";
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if (level == 4) {
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// 市级别
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sql += " and city = ? ";
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} else if (level == 3) {
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// 区、城镇级别
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sql += " and town = ? ";
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} else if (level == 2) {
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// 机构级别
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sql += " and org_code = ? ";
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} else if (level == 1) {
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sql += " and qkdoctor_code = ?";
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}
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List<Map<String, Object>> result = jdbcTemplate.queryForList(sql, new Object[]{index, level, endDate, area});
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if (result != null && result.size() > 0) {
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total = (result.get(0).get("amount") != null ? Long.valueOf(result.get(0).get("amount").toString()) : 0L);
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}
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}
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return total;
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}
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/**
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* 获取缴费
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*
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* @param endDate 截止日期
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* @param area 区域
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* @param level 级别
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* @return
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*/
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public long getWeiJiaoFei(String endDate, String area, int level) {
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long total = 0;
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SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd");
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if (endDate.compareTo(dateFormat.format(new Date())) >= 0) {
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String val = redisTemplate.opsForValue().get("quota:16:" + level + ":"+ area + ":0:" + getQuotaTimeStamp());
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if (!StringUtils.isEmpty(val)) {
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JSONObject valJson = new JSONObject(val);
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if (valJson.has("num")) {
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total = valJson.getInt("num");
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}
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}
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} else {
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// 查询语句
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String sql = " select " +
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" ifnull(result,'0') amount" +
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" from " +
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" wlyy_quota_result " +
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" where " +
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" quato_code = '16' " +
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" and level1_type = ? and del = '1'" +
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" and level2_type = '0' " +
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" and quota_date = ? ";
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if (level == 4) {
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// 市级别
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sql += " and city = ? ";
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} else if (level == 3) {
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// 区、城镇级别
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sql += " and town = ? ";
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} else if (level == 2) {
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// 机构级别
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sql += " and org_code = ? ";
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} else if (level == 1) {
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sql += " and qkdoctor_code = ?";
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}
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List<Map<String, Object>> result = jdbcTemplate.queryForList(sql, new Object[]{level, endDate, area});
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if (result != null && result.size() > 0) {
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total = (result.get(0).get("amount") != null ? Long.valueOf(result.get(0).get("amount").toString()) : 0L);
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}
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}
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return total;
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}
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/**
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* 查询截止某个日期累计签约率
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*
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* @param endDate 截止日期
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* @param area 区域或机构代码
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* @param level 级别
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* @return
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*/
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public JSONObject getSignRate(String endDate, String area, int level) throws Exception {
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JSONObject json = new JSONObject();
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long signAmount = getIndexTotal(endDate, area, level, "13");
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PopulationBase peopleNum = peopleNumDao.findByCodeAndYear(area, Calendar.getInstance().get(Calendar.YEAR));
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DecimalFormat df = new DecimalFormat("0.0000");
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if (peopleNum != null && peopleNum.getNum() > 0) {
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json.put("rate", df.format((signAmount * 1.0000) / peopleNum.getNum() * 100));
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json.put("sign", signAmount);
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json.put("people", peopleNum.getNum());
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} else {
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json.put("rate", "0.0000");
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json.put("sign", signAmount);
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json.put("people", 0);
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}
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return json;
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}
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/**
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* 查询截止某个日期签约完成率
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*
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* @param endDate 截止日期
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* @param area 区域或机构代码
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* @param level 级别
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* @return
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*/
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public JSONObject getSignTaskRate(String endDate, String area, int level) throws Exception {
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JSONObject json = new JSONObject();
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long signAmount = getIndexTotal(endDate, area, level, "13");
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PopulationBase peopleNum = peopleNumDao.findByCodeAndYear(area, Calendar.getInstance().get(Calendar.YEAR));
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DecimalFormat df = new DecimalFormat("0.0000");
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if (peopleNum != null && peopleNum.getTaskNum() > 0) {
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json.put("rate", df.format((signAmount * 1.0000) / peopleNum.getTaskNum() * 100));
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json.put("sign", signAmount);
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json.put("people", peopleNum.getTaskNum());
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} else {
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json.put("rate", "0.0000");
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json.put("sign", signAmount);
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json.put("people", 0);
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}
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return json;
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}
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/**
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* 查询某个级别的某个指标到达量
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*
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* @param date
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* @param area
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* @param level
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* @param index
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* @param sort
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* @param lowLevel
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* @return
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* @throws Exception
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*/
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public JSONArray getLowLevelTotal(String date, String area, int level, String index, int sort, String lowLevel) throws Exception {
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SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd");
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String low_level = String.valueOf(StringUtils.isEmpty(lowLevel) ? (level - 1) : lowLevel);
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List<Map<String, Object>> resultList = new ArrayList<>();
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if (date.compareTo(dateFormat.format(new Date())) >= 0) {
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resultList = getTodayLowLevelTotal(date, area, level, index, lowLevel);
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} else {
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resultList = getTodayBeforeLowLevelTotal(date, area, level, index, sort, lowLevel);
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}
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// 结果为空时,自建结果集
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if (resultList == null || resultList.size() < 1) {
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resultList = getLowLevelMapKey(level, low_level, area);
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}
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if (resultList != null) {
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DecimalFormat df = new DecimalFormat("0.0000");
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for (Map<String, Object> map : resultList) {
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map.put("amount", map.get("amount") != null ? Long.valueOf(map.get("amount").toString()) : 0L);
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if (!low_level.equals("1")) {
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String redisNum = redisTemplate.opsForValue().get("people:num:" + map.get("code").toString());
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if (StringUtils.isEmpty(redisNum)) {
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PopulationBase peopleNum = peopleNumDao.findByCodeAndYear(map.get("code").toString(), Calendar.getInstance().get(Calendar.YEAR));
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if (peopleNum != null) {
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map.put("rate", df.format(((long) map.get("amount") * 1.0000) / peopleNum.getNum() * 100));
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map.put("taskRate", df.format(((long) map.get("amount") * 1.0000) / peopleNum.getTaskNum() * 100));
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map.put("targetRate", df.format(peopleNum.getTaskNum() * 1.0000 / peopleNum.getNum() * 100));
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map.put("num", peopleNum.getNum());
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map.put("task", peopleNum.getTaskNum());
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}
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} else {
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JSONObject peopleNum = new JSONObject(redisNum);
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if (peopleNum != null) {
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map.put("rate", df.format(((long) map.get("amount") * 1.0000) / peopleNum.getInt("num") * 100));
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map.put("taskRate", df.format(((long) map.get("amount") * 1.0000) / peopleNum.getInt("taskNum") * 100));
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map.put("targetRate", df.format(peopleNum.getInt("taskNum") * 1.0000 / peopleNum.getInt("num") * 100));
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map.put("num", peopleNum.getInt("num"));
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map.put("task", peopleNum.getInt("taskNum"));
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}
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}
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}
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}
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Collections.sort(resultList, new Comparator<Map<String, Object>>() {
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public int compare(Map<String, Object> o1, Map<String, Object> o2) {
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long map1value = (long) o1.get("amount");
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long map2value = (long) o2.get("amount");
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if (map1value - map2value > 0) {
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return sort == 1 ? -1 : 1;
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} else if (map1value - map2value < 0) {
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return sort == 1 ? 1 : -1;
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} else {
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return 0;
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}
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}
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});
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return new JSONArray(resultList);
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} else {
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return new JSONArray();
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}
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}
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/**
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* 获取过去某个日期某个区域一级指标的下级统计
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*
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* @param date
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* @param area
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* @param level
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* @param index
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* @param lowLevel
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* @return
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*/
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public List<Map<String, Object>> getTodayBeforeLowLevelTotal(String date, String area, int level, String index, int sort, String lowLevel) throws Exception {
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List<Map<String, Object>> resultList = new ArrayList<>();
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String low_level = String.valueOf(StringUtils.isEmpty(lowLevel) ? (level - 1) : lowLevel);
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String areaField = "";
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String lowLevelField = "";
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String lowLevelName = "";
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if (level == 4) {
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// 市级别
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areaField = "city";
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} else if (level == 3) {
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// 区、城镇级别
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areaField = "town";
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} else if (level == 2) {
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// 机构级别
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areaField = "org_code";
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} else if (level == 1) {
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throw new Exception("param level error");
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}
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if (low_level.equals("3")) {
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lowLevelField = "town";
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lowLevelName = "town_name";
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} else if (low_level.equals("2")) {
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lowLevelField = "org_code";
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lowLevelName = "org_name";
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} else if (low_level.equals("1")) {
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lowLevelField = "qkdoctor_code";
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lowLevelName = "qkdoctor_name";
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} else {
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throw new Exception("param lowLevel error");
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}
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// 查询语句
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String sql = " select " +
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" ifnull(" + lowLevelField + ",'') code " +
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" ,ifnull(" + lowLevelName + ",'') 'name' " +
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" ,ifnull(result,'0') amount" +
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" from " +
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" wlyy_quota_result " +
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" where " +
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" quato_code = '" + index + "' " +
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" and level1_type = ? and del = '1'" +
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" and quota_date = ? " +
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" and " + areaField + " = ? ";
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if (sort == 1) {
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sql += " order by amount desc";
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} else {
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sql += " order by amount asc ";
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}
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resultList = jdbcTemplate.queryForList(sql, new Object[]{low_level, date, area});
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return resultList;
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}
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/**
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* 获取今天某个区域一级指标的下级统计
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*
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* @param date
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* @param area
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* @param level
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* @param index
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* @param lowLevel
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* @return
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*/
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public List<Map<String, Object>> getTodayLowLevelTotal(String date, String area, int level, String index, String lowLevel) {
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List<Map<String, Object>> resultList = new ArrayList<>();
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String low_level = String.valueOf(StringUtils.isEmpty(lowLevel) ? (level - 1) : lowLevel);
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String redisData = redisTemplate.opsForValue().get("quota:" + index + ":" + level + ":" + area + ":" + low_level + ":" + getQuotaTimeStamp());
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if (!StringUtils.isEmpty(redisData)) {
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JSONArray jsonArray = new JSONArray(redisData);
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for (int i = 0; i < jsonArray.length(); i++) {
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JSONObject json = jsonArray.getJSONObject(i);
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Map<String, Object> data = new HashMap<>();
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data.put("code", json.getString("code"));
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data.put("name", json.getString("name"));
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data.put("amount", Long.valueOf(String.valueOf(json.get("num"))));
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resultList.add(data);
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}
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}
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if (resultList.size() < 1) {
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resultList = getLowLevelMapKey(level, low_level, area);
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}
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return resultList;
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}
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/**
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* 获取下级统计key
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*
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* @param level
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|
|
* @param lowLevel
|
|
|
* @param area
|
|
|
* @return
|
|
|
*/
|
|
|
public List<Map<String, Object>> getLowLevelMapKey(int level, String lowLevel, String area) {
|
|
|
List<Map<String, Object>> resultList = new ArrayList<>();
|
|
|
if (lowLevel.equals("3")) {
|
|
|
List<Town> towns = townDao.findByCityCode(area);
|
|
|
if (towns != null) {
|
|
|
for (Town town : towns) {
|
|
|
Map<String, Object> obj = new HashMap<>();
|
|
|
obj.put("code", town.getCode());
|
|
|
obj.put("name", town.getName());
|
|
|
obj.put("amount", "0");
|
|
|
resultList.add(obj);
|
|
|
}
|
|
|
}
|
|
|
} else if (lowLevel.equals("2")) {
|
|
|
List<Town> towns = new ArrayList<>();
|
|
|
if (level == 4) {
|
|
|
towns = townDao.findByCityCode(area);
|
|
|
} else if (level == 3) {
|
|
|
Town town = townDao.findByCode(area);
|
|
|
towns.add(town);
|
|
|
}
|
|
|
|
|
|
if (towns != null && towns.size() > 0) {
|
|
|
for (Town town : towns) {
|
|
|
List<Hospital> hospitals = hospitalDao.findByTownCode(town.getCode());
|
|
|
|
|
|
for (Hospital hos : hospitals) {
|
|
|
if (hos.getCode().length() > 10) {
|
|
|
continue;
|
|
|
}
|
|
|
Map<String, Object> obj = new HashMap<>();
|
|
|
obj.put("code", hos.getCode());
|
|
|
obj.put("name", hos.getName());
|
|
|
obj.put("amount", "0");
|
|
|
resultList.add(obj);
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
} else if (lowLevel.equals("1")) {
|
|
|
List<Hospital> hospitals = new ArrayList<>();
|
|
|
if (level == 4) {
|
|
|
hospitals = hospitalDao.findByCity(area);
|
|
|
} else if (level == 3) {
|
|
|
hospitals = hospitalDao.findByTownCode(area);
|
|
|
} else {
|
|
|
Hospital hos = hospitalDao.findByCode(area);
|
|
|
if (hos != null) {
|
|
|
hospitals.add(hos);
|
|
|
}
|
|
|
}
|
|
|
|
|
|
if (hospitals != null && hospitals.size() > 0) {
|
|
|
for (Hospital hos : hospitals) {
|
|
|
if (hos.getCode().length() > 10) {
|
|
|
continue;
|
|
|
}
|
|
|
List<AdminTeam> teams = adminTeamDao.findByOrgCode(hos.getCode());
|
|
|
|
|
|
for (AdminTeam team : teams) {
|
|
|
Map<String, Object> obj = new HashMap<>();
|
|
|
obj.put("code", String.valueOf(team.getId()));
|
|
|
obj.put("name", team.getName());
|
|
|
obj.put("amount", "0");
|
|
|
resultList.add(obj);
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
|
|
|
return resultList;
|
|
|
}
|
|
|
|
|
|
|
|
|
/**
|
|
|
* 获取二级指标的到达量
|
|
|
*
|
|
|
* @param endDate
|
|
|
* @param area
|
|
|
* @param level
|
|
|
* @param index
|
|
|
* @return
|
|
|
*/
|
|
|
public JSONArray getIndexLevelTwototal(String endDate, String area, int level, String index) {
|
|
|
String areaField = "";
|
|
|
SimpleDateFormat datef = new SimpleDateFormat("yyyy-MM-dd");
|
|
|
List<Map<String, Object>> resultList = new ArrayList<>();
|
|
|
|
|
|
if (endDate.compareTo(datef.format(new Date())) >= 0) {
|
|
|
resultList = getTodayLevelTwoTotal(area, level, index);
|
|
|
} else {
|
|
|
resultList = getTodyBeforeLevelTwototal(endDate, area, level, index);
|
|
|
}
|
|
|
|
|
|
if (resultList != null) {
|
|
|
long total = 0;
|
|
|
|
|
|
for (Map<String, Object> map : resultList) {
|
|
|
map.put("amount", map.get("amount") == null ? 0 : Math.round(Double.valueOf(map.get("amount").toString())));
|
|
|
|
|
|
// 当天数据统计
|
|
|
if (endDate.compareTo(new SimpleDateFormat("yyyy-MM-dd").format(new Date())) == 0) {
|
|
|
String code = map.get("code") != null ? String.valueOf(map.get("code")) : "";
|
|
|
String val = redisTemplate.opsForValue().get("quota:" + index + ":" + level + ":" + code + ":" + area + ":" + getQuotaTimeStamp());
|
|
|
if (!StringUtils.isEmpty(val)) {
|
|
|
JSONObject valJson = new JSONObject(val);
|
|
|
if (valJson.has("num")) {
|
|
|
map.put("amount", (long) map.get("amount") + valJson.getInt("num"));
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
|
|
|
if (index.equals("7")) {
|
|
|
// 分组指标总数算法
|
|
|
String code = map.get("code") != null ? String.valueOf(map.get("code")) : "";
|
|
|
if (code.equals("0") || code.equals("1") || code.equals("2") || code.equals("3") || code.equals("7")) {
|
|
|
total += (long) map.get("amount");
|
|
|
}
|
|
|
} else if (index.equals("16")) {
|
|
|
String code = map.get("code") != null ? String.valueOf(map.get("code")) : "";
|
|
|
|
|
|
if (!code.equals("2")) {
|
|
|
total += (long) map.get("amount");
|
|
|
}
|
|
|
} else {
|
|
|
total += (long) map.get("amount");
|
|
|
}
|
|
|
}
|
|
|
|
|
|
if (!index.equals("8")) {
|
|
|
DecimalFormat df = new DecimalFormat("0.0000");
|
|
|
for (Map<String, Object> map : resultList) {
|
|
|
double rateG = (total > 0 ? ((long) map.get("amount")) * 1.0000 / total * 100 : 0);
|
|
|
map.put("rate", df.format(rateG));
|
|
|
}
|
|
|
}
|
|
|
if (index.equals("6") && resultList.size() > 0) {
|
|
|
int i = 0;
|
|
|
boolean flag = false;
|
|
|
for (; i < resultList.size(); i++) {
|
|
|
if (resultList.get(i).get("code") != null && String.valueOf(resultList.get(i).get("code")).equals("3")
|
|
|
&& String.valueOf(resultList.get(i).get("amount")).equals("0")) {
|
|
|
flag = true;
|
|
|
break;
|
|
|
}
|
|
|
}
|
|
|
if (flag) {
|
|
|
resultList.remove(i);
|
|
|
}
|
|
|
}
|
|
|
return new JSONArray(resultList);
|
|
|
} else {
|
|
|
return new JSONArray();
|
|
|
}
|
|
|
}
|
|
|
|
|
|
/**
|
|
|
* 获取二级指标的到达量
|
|
|
*
|
|
|
* @param endDate
|
|
|
* @param area
|
|
|
* @param level
|
|
|
* @param index
|
|
|
* @return
|
|
|
*/
|
|
|
public List<Map<String, Object>> getTodyBeforeLevelTwototal(String endDate, String area, int level, String index) {
|
|
|
String areaField = "";
|
|
|
SimpleDateFormat datef = new SimpleDateFormat("yyyy-MM-dd");
|
|
|
|
|
|
if (level == 4) {
|
|
|
// 市级别
|
|
|
areaField = "city";
|
|
|
} else if (level == 3) {
|
|
|
// 区、城镇级别
|
|
|
areaField = "town";
|
|
|
} else if (level == 2) {
|
|
|
// 机构级别
|
|
|
areaField = "org_code";
|
|
|
} else if (level == 1) {
|
|
|
// 团队
|
|
|
areaField = "qkdoctor_code";
|
|
|
}
|
|
|
// 查询语句
|
|
|
String sql = " select " +
|
|
|
" ifnull(level2_type,'') code " +
|
|
|
" ,ifnull(level2_type_name,'') 'name' " +
|
|
|
" ,ifnull(result,0.0) amount" +
|
|
|
" from " +
|
|
|
" wlyy_quota_result " +
|
|
|
" where " +
|
|
|
" quato_code = '" + index + "' " +
|
|
|
" and level1_type = ? and del = '1'";
|
|
|
|
|
|
|
|
|
sql += " and quota_date = ? " +
|
|
|
" and " + areaField + " = ? " +
|
|
|
" group by level2_type,level2_type_name";
|
|
|
|
|
|
List<Map<String, Object>> resultList = new ArrayList<>();
|
|
|
|
|
|
resultList = jdbcTemplate.queryForList(sql, new Object[]{level, endDate, area});
|
|
|
|
|
|
if (resultList == null || resultList.size() < 1) {
|
|
|
getLevelTwoMapKey(index);
|
|
|
}
|
|
|
|
|
|
return resultList;
|
|
|
}
|
|
|
|
|
|
|
|
|
/**
|
|
|
* 查询某个指标的二级维度
|
|
|
*
|
|
|
* @param area
|
|
|
* @param level
|
|
|
* @param index
|
|
|
* @return
|
|
|
*/
|
|
|
public List<Map<String, Object>> getTodayLevelTwoTotal(String area, int level, String index) {
|
|
|
List<Map<String, Object>> resultList = new ArrayList<>();
|
|
|
String redisData = redisTemplate.opsForValue().get("quota:" + index + ":" + level + ":" + area + ":" + getQuotaTimeStamp());
|
|
|
|
|
|
if (!StringUtils.isEmpty(redisData)) {
|
|
|
JSONArray jsonArray = new JSONArray(redisData);
|
|
|
|
|
|
for (int i = 0; i < jsonArray.length(); i++) {
|
|
|
JSONObject json = jsonArray.getJSONObject(i);
|
|
|
Map<String, Object> data = new HashMap<>();
|
|
|
|
|
|
data.put("code", json.getString("code"));
|
|
|
data.put("name", json.getString("name"));
|
|
|
data.put("amount", Long.valueOf(String.valueOf(json.get("num"))));
|
|
|
|
|
|
resultList.add(data);
|
|
|
}
|
|
|
}
|
|
|
|
|
|
if (resultList.size() < 1) {
|
|
|
resultList = getLevelTwoMapKey(index);
|
|
|
}
|
|
|
|
|
|
return resultList;
|
|
|
}
|
|
|
|
|
|
/**
|
|
|
* 获取某个二级指标的统计key
|
|
|
*
|
|
|
* @param index
|
|
|
* @return
|
|
|
*/
|
|
|
public List<Map<String, Object>> getLevelTwoMapKey(String index) {
|
|
|
List<Map<String, Object>> resultList = new ArrayList<>();
|
|
|
if (index.equals("6")) {
|
|
|
Map<String, Object> women = new HashMap<>();
|
|
|
women.put("code", "1");
|
|
|
women.put("name", "女");
|
|
|
women.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(women);
|
|
|
|
|
|
Map<String, Object> man = new HashMap<>();
|
|
|
man.put("code", "2");
|
|
|
man.put("name", "男");
|
|
|
man.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(man);
|
|
|
|
|
|
Map<String, Object> unknown = new HashMap<>();
|
|
|
unknown.put("code", "3");
|
|
|
unknown.put("name", "未知");
|
|
|
unknown.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(unknown);
|
|
|
} else if (index.equals("7")) {
|
|
|
Map<String, Object> nogroup = new HashMap<>();
|
|
|
nogroup.put("code", "0");
|
|
|
nogroup.put("name", "未分组");
|
|
|
nogroup.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(nogroup);
|
|
|
|
|
|
Map<String, Object> normal = new HashMap<>();
|
|
|
normal.put("code", "1");
|
|
|
normal.put("name", "普通人群");
|
|
|
normal.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(normal);
|
|
|
|
|
|
Map<String, Object> manbing = new HashMap<>();
|
|
|
manbing.put("code", "2");
|
|
|
manbing.put("name", "慢病人群65岁以下");
|
|
|
manbing.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(manbing);
|
|
|
|
|
|
Map<String, Object> upsixfive = new HashMap<>();
|
|
|
upsixfive.put("code", "3");
|
|
|
upsixfive.put("name", "65岁以上人群");
|
|
|
upsixfive.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(upsixfive);
|
|
|
|
|
|
Map<String, Object> gxy = new HashMap<>();
|
|
|
gxy.put("code", "4");
|
|
|
gxy.put("name", "高血压");
|
|
|
gxy.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(gxy);
|
|
|
|
|
|
Map<String, Object> tnb = new HashMap<>();
|
|
|
tnb.put("code", "5");
|
|
|
tnb.put("name", "糖尿病");
|
|
|
tnb.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(tnb);
|
|
|
|
|
|
Map<String, Object> tnbGxy = new HashMap<>();
|
|
|
tnbGxy.put("code", "6");
|
|
|
tnbGxy.put("name", "高血压和糖尿病");
|
|
|
tnbGxy.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(tnb);
|
|
|
|
|
|
Map<String, Object> mb65UpGxy = new HashMap<>();
|
|
|
mb65UpGxy.put("code", "7");
|
|
|
mb65UpGxy.put("name", "慢病人群65岁以上");
|
|
|
mb65UpGxy.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(mb65UpGxy);
|
|
|
} else if (index.equals("8")) {
|
|
|
Map<String, Object> map1 = new HashMap<>();
|
|
|
map1.put("code", "1");
|
|
|
map1.put("name", "0~6");
|
|
|
map1.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(map1);
|
|
|
|
|
|
Map<String, Object> map2 = new HashMap<>();
|
|
|
map2.put("code", "2");
|
|
|
map2.put("name", "7~18");
|
|
|
map2.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(map2);
|
|
|
|
|
|
Map<String, Object> map3 = new HashMap<>();
|
|
|
map3.put("code", "3");
|
|
|
map3.put("name", "18~30");
|
|
|
map3.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(map3);
|
|
|
|
|
|
Map<String, Object> map4 = new HashMap<>();
|
|
|
map4.put("code", "4");
|
|
|
map4.put("name", "30~50");
|
|
|
map4.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(map4);
|
|
|
|
|
|
Map<String, Object> map5 = new HashMap<>();
|
|
|
map5.put("code", "5");
|
|
|
map5.put("name", "50~65");
|
|
|
map5.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(map5);
|
|
|
|
|
|
Map<String, Object> map6 = new HashMap<>();
|
|
|
map6.put("code", "6");
|
|
|
map6.put("name", "50~65");
|
|
|
map6.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(map6);
|
|
|
} else if (index.equals("16")) {
|
|
|
Map<String, Object> map1 = new HashMap<>();
|
|
|
map1.put("code", "0");
|
|
|
map1.put("name", "未缴费人数");
|
|
|
map1.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(map1);
|
|
|
|
|
|
Map<String, Object> map2 = new HashMap<>();
|
|
|
map2.put("code", "1");
|
|
|
map2.put("name", "已缴费人数");
|
|
|
map2.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(map2);
|
|
|
|
|
|
Map<String, Object> map3 = new HashMap<>();
|
|
|
map3.put("code", "2");
|
|
|
map3.put("name", "已退费人数");
|
|
|
map3.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(map3);
|
|
|
} else if (index.equals("15")) {
|
|
|
Map<String, Object> map1 = new HashMap<>();
|
|
|
map1.put("code", "0");
|
|
|
map1.put("name", "未标注");
|
|
|
map1.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(map1);
|
|
|
|
|
|
Map<String, Object> map2 = new HashMap<>();
|
|
|
map2.put("code", "1");
|
|
|
map2.put("name", "健康人群");
|
|
|
map2.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(map2);
|
|
|
|
|
|
Map<String, Object> map3 = new HashMap<>();
|
|
|
map3.put("code", "2");
|
|
|
map3.put("name", "患病人群");
|
|
|
map3.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(map3);
|
|
|
|
|
|
Map<String, Object> map4 = new HashMap<>();
|
|
|
map4.put("code", "3");
|
|
|
map4.put("name", "高危人群");
|
|
|
map4.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(map4);
|
|
|
|
|
|
Map<String, Object> map5 = new HashMap<>();
|
|
|
map5.put("code", "4");
|
|
|
map5.put("name", "恢复期人群");
|
|
|
map5.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(map5);
|
|
|
}
|
|
|
|
|
|
return resultList;
|
|
|
}
|
|
|
|
|
|
|
|
|
/**
|
|
|
* 统计65以上人群数据
|
|
|
*
|
|
|
* @param endDate
|
|
|
* @param area
|
|
|
* @param level
|
|
|
* @return
|
|
|
*/
|
|
|
public JSONArray getSixFiveStatistics(String endDate, String area, int level) {
|
|
|
String areaField = "";
|
|
|
SimpleDateFormat datef = new SimpleDateFormat("yyyy-MM-dd");
|
|
|
List<Map<String, Object>> resultList = new ArrayList<>();
|
|
|
|
|
|
if (endDate.compareTo(datef.format(new Date())) >= 0) {
|
|
|
String redisData = redisTemplate.opsForValue().get("quota:12:" + level + ":" + area + ":6:" + getQuotaTimeStamp());
|
|
|
|
|
|
if (!StringUtils.isEmpty(redisData)) {
|
|
|
JSONArray jsonArray = new JSONArray(redisData);
|
|
|
|
|
|
for (int i = 0; i < jsonArray.length(); i++) {
|
|
|
JSONObject json = jsonArray.getJSONObject(i);
|
|
|
Map<String, Object> data = new HashMap<>();
|
|
|
|
|
|
data.put("code", json.getString("code"));
|
|
|
data.put("name", json.getString("name"));
|
|
|
data.put("amount", Long.valueOf(String.valueOf(json.get("num"))));
|
|
|
|
|
|
resultList.add(data);
|
|
|
}
|
|
|
}
|
|
|
} else {
|
|
|
if (level == 4) {
|
|
|
// 市级别
|
|
|
areaField = "city";
|
|
|
} else if (level == 3) {
|
|
|
// 区、城镇级别
|
|
|
areaField = "town";
|
|
|
} else if (level == 2) {
|
|
|
// 机构级别
|
|
|
areaField = "org_code";
|
|
|
} else if (level == 1) {
|
|
|
// 团队
|
|
|
areaField = "qkdoctor_code";
|
|
|
}
|
|
|
|
|
|
// 查询语句
|
|
|
String sql = " select " +
|
|
|
" ifnull(level3_type,'') code " +
|
|
|
" ,ifnull(level3_type_name,'') 'name' " +
|
|
|
" ,ifnull(result,0.0) amount" +
|
|
|
" from " +
|
|
|
" wlyy_quota_result " +
|
|
|
" where " +
|
|
|
" quato_code = '12' " +
|
|
|
" and level2_type = '6' " +
|
|
|
" and level1_type = ? and del = '1'";
|
|
|
|
|
|
|
|
|
sql += " and quota_date = ? " +
|
|
|
" and " + areaField + " = ? " +
|
|
|
" group by level3_type,level3_type_name";
|
|
|
|
|
|
resultList = jdbcTemplate.queryForList(sql, new Object[]{level, endDate, area});
|
|
|
}
|
|
|
|
|
|
if (resultList == null || resultList.size() < 1) {
|
|
|
resultList = new ArrayList<>();
|
|
|
|
|
|
Map<String, Object> gxy = new HashMap<>();
|
|
|
gxy.put("code", "1");
|
|
|
gxy.put("name", "高血压");
|
|
|
gxy.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(gxy);
|
|
|
|
|
|
Map<String, Object> tnb = new HashMap<>();
|
|
|
tnb.put("code", "2");
|
|
|
tnb.put("name", "糖尿病");
|
|
|
tnb.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(tnb);
|
|
|
|
|
|
Map<String, Object> gxyTnb = new HashMap<>();
|
|
|
gxyTnb.put("code", "3");
|
|
|
gxyTnb.put("name", "高血压+糖尿病");
|
|
|
gxyTnb.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(gxyTnb);
|
|
|
|
|
|
Map<String, Object> jk = new HashMap<>();
|
|
|
jk.put("code", "4");
|
|
|
jk.put("name", "健康人群");
|
|
|
jk.put("amount", Double.valueOf("0.0"));
|
|
|
resultList.add(jk);
|
|
|
}
|
|
|
|
|
|
if (resultList != null) {
|
|
|
for (Map<String, Object> map : resultList) {
|
|
|
map.put("amount", map.get("amount") == null ? 0 : Math.round(Double.valueOf(map.get("amount").toString())));
|
|
|
}
|
|
|
|
|
|
// 65岁以上人群总数统计
|
|
|
long sixFiveTotal = getSixFiveTotal(endDate, area, level);
|
|
|
Map<String, Object> sixFive = new HashMap<>();
|
|
|
|
|
|
sixFive.put("code", "0");
|
|
|
sixFive.put("name", "总数");
|
|
|
sixFive.put("amount", sixFiveTotal);
|
|
|
resultList.add(sixFive);
|
|
|
|
|
|
return new JSONArray(resultList);
|
|
|
} else {
|
|
|
return new JSONArray();
|
|
|
}
|
|
|
}
|
|
|
|
|
|
/**
|
|
|
* 获取65岁以上人群总数
|
|
|
*
|
|
|
* @param endDate
|
|
|
* @param area
|
|
|
* @param level
|
|
|
* @return
|
|
|
*/
|
|
|
public long getSixFiveTotal(String endDate, String area, int level) {
|
|
|
String areaField = "";
|
|
|
long total = 0;
|
|
|
SimpleDateFormat datef = new SimpleDateFormat("yyyy-MM-dd");
|
|
|
|
|
|
if (endDate.compareTo(datef.format(new Date())) >= 0) {
|
|
|
String code = "6";
|
|
|
String val = redisTemplate.opsForValue().get("quota:8:" + level + ":" + area + ":" + code + ":" + getQuotaTimeStamp());
|
|
|
if (!StringUtils.isEmpty(val)) {
|
|
|
JSONObject valJson = new JSONObject(val);
|
|
|
if (valJson.has("num")) {
|
|
|
total = valJson.getInt("num");
|
|
|
}
|
|
|
}
|
|
|
} else {
|
|
|
if (level == 4) {
|
|
|
// 市级别
|
|
|
areaField = "city";
|
|
|
} else if (level == 3) {
|
|
|
// 区、城镇级别
|
|
|
areaField = "town";
|
|
|
} else if (level == 2) {
|
|
|
// 机构级别
|
|
|
areaField = "org_code";
|
|
|
} else if (level == 1) {
|
|
|
// 团队
|
|
|
areaField = "qkdoctor_code";
|
|
|
}
|
|
|
|
|
|
// 查询语句
|
|
|
String sql = " select " +
|
|
|
" ifnull(result,0.0) amount" +
|
|
|
" from " +
|
|
|
" wlyy_quota_result " +
|
|
|
" where " +
|
|
|
" quato_code = '8' " +
|
|
|
" and level2_type = '6' " +
|
|
|
" and level1_type = ? and del = '1'";
|
|
|
|
|
|
|
|
|
sql += " and quota_date = ? " +
|
|
|
" and " + areaField + " = ? ";
|
|
|
|
|
|
List<Map<String, Object>> result = null;
|
|
|
|
|
|
result = jdbcTemplate.queryForList(sql, new Object[]{level, endDate, area});
|
|
|
|
|
|
if (result != null && result.size() > 0) {
|
|
|
total = (result.get(0).get("amount") == null ? 0 : Math.round(Double.valueOf(result.get(0).get("amount").toString())));
|
|
|
}
|
|
|
}
|
|
|
|
|
|
return total;
|
|
|
}
|
|
|
|
|
|
/**
|
|
|
* 查询某个日期范围内的某个指标每天到达量
|
|
|
*
|
|
|
* @param startDate
|
|
|
* @param endDate
|
|
|
* @param interval
|
|
|
* @param area
|
|
|
* @param level
|
|
|
* @param index
|
|
|
* @return
|
|
|
*/
|
|
|
public JSONObject getDateTotal(String startDate, String endDate, int interval, String area, int level, String index) throws Exception {
|
|
|
int taskNum = 0;
|
|
|
JSONObject json = new JSONObject();
|
|
|
|
|
|
if (level > 1) {
|
|
|
String redisNum = redisTemplate.opsForValue().get("people:num:" + area);
|
|
|
|
|
|
if (StringUtils.isEmpty(redisNum)) {
|
|
|
PopulationBase peopleNum = peopleNumDao.findByCodeAndYear(area, Calendar.getInstance().get(Calendar.YEAR));
|
|
|
if (peopleNum != null) {
|
|
|
taskNum = peopleNum.getTaskNum();
|
|
|
}
|
|
|
} else {
|
|
|
JSONObject peopleNum = new JSONObject(redisNum);
|
|
|
if (peopleNum != null) {
|
|
|
taskNum = peopleNum.getInt("taskNum");
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
|
|
|
json.put("taskNum", taskNum);
|
|
|
|
|
|
if (interval == 1) {
|
|
|
JSONArray jsonArray = dateTotalStatistics(startDate, endDate, area, level, index);
|
|
|
json.put("data", jsonArray);
|
|
|
return json;
|
|
|
} else if (interval == 2) {
|
|
|
JSONArray jsonArray = weekTotalStatistics(startDate, endDate, area, level, index);
|
|
|
json.put("data", jsonArray);
|
|
|
return json;
|
|
|
} else if (interval == 3) {
|
|
|
JSONArray jsonArray = monthTotalStatistics(startDate, endDate, area, level, index);
|
|
|
json.put("data", jsonArray);
|
|
|
return json;
|
|
|
}
|
|
|
|
|
|
return json;
|
|
|
}
|
|
|
|
|
|
/**
|
|
|
* @param startDate
|
|
|
* @param endDate
|
|
|
* @param area
|
|
|
* @param level
|
|
|
* @param index
|
|
|
* @return
|
|
|
*/
|
|
|
public JSONArray dateTotalStatistics(String startDate, String endDate, String area, int level, String index) throws ParseException {
|
|
|
String areaField = "";
|
|
|
String sql = "";
|
|
|
SimpleDateFormat df = new SimpleDateFormat("yyyy-MM-dd");
|
|
|
String dateCon = endDate;
|
|
|
|
|
|
if (endDate.compareTo(df.format(new Date())) == 0) {
|
|
|
Calendar calendar = Calendar.getInstance();
|
|
|
calendar.add(Calendar.DATE, -1);
|
|
|
dateCon = df.format(calendar.getTime());
|
|
|
}
|
|
|
|
|
|
if (level == 4) {
|
|
|
// 市级别
|
|
|
areaField = "city";
|
|
|
} else if (level == 3) {
|
|
|
// 区、城镇级别
|
|
|
areaField = "town";
|
|
|
} else if (level == 2) {
|
|
|
// 机构级别
|
|
|
areaField = "org_code";
|
|
|
} else if (level == 1) {
|
|
|
// 机构级别
|
|
|
areaField = "qkdoctor_code";
|
|
|
}
|
|
|
|
|
|
// 起始日期
|
|
|
Calendar start = Calendar.getInstance();
|
|
|
start.setTime(DateUtil.strToDate(startDate, DateUtil.YYYY_MM_DD));
|
|
|
//结束日期
|
|
|
Calendar end = Calendar.getInstance();
|
|
|
end.setTime(DateUtil.strToDate(endDate, DateUtil.YYYY_MM_DD));
|
|
|
// 日期集合
|
|
|
List<Calendar> days = new ArrayList<>();
|
|
|
days.add(start);
|
|
|
|
|
|
boolean flag = true;
|
|
|
|
|
|
if (startDate.compareTo(endDate) == 0) {
|
|
|
flag = false;
|
|
|
}
|
|
|
// 计算统计日期
|
|
|
while (flag) {
|
|
|
Calendar next = Calendar.getInstance();
|
|
|
next.setTime(days.get(days.size() - 1).getTime());
|
|
|
next.add(Calendar.DATE, 1);
|
|
|
if (df.format(next.getTime()).compareTo(endDate) < 0) {
|
|
|
days.add(next);
|
|
|
} else {
|
|
|
days.add(end);
|
|
|
flag = false;
|
|
|
}
|
|
|
}
|
|
|
|
|
|
Map<String, JSONObject> countResult = new HashMap<>();
|
|
|
|
|
|
// 统计预计构建
|
|
|
for (int i = 0; i < days.size(); i++) {
|
|
|
String startStr = "";
|
|
|
long amount = 0;
|
|
|
|
|
|
startStr = df.format(days.get(i).getTime());
|
|
|
|
|
|
// 当前范围包含当天，则需添加当天的统计数据
|
|
|
if (startStr.compareTo(df.format(new Date())) == 0) {
|
|
|
String val = redisTemplate.opsForValue().get("quota:" + index + ":" + level + ":" + area + ":" + getQuotaTimeStamp());
|
|
|
if (!StringUtils.isEmpty(val)) {
|
|
|
JSONObject valJson = new JSONObject(val);
|
|
|
if (valJson.has("num")) {
|
|
|
amount = (long) valJson.getInt("num");
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
|
|
|
JSONObject range = new JSONObject();
|
|
|
range.put("range", startStr);
|
|
|
range.put("amount", amount);
|
|
|
countResult.put(startStr, range);
|
|
|
}
|
|
|
|
|
|
if (startDate.equals(df.format(new Date()))) {
|
|
|
Calendar preDate = Calendar.getInstance();
|
|
|
preDate.setTime(df.parse(endDate));
|
|
|
preDate.add(Calendar.DATE, -1);
|
|
|
|
|
|
startDate = df.format(preDate.getTime());
|
|
|
}
|
|
|
|
|
|
sql = " select " +
|
|
|
" ifnull(quota_date,'') as 'range' " +
|
|
|
" ,ifnull(result,'0') amount " +
|
|
|
" from " +
|
|
|
" wlyy_quota_result " +
|
|
|
" where " +
|
|
|
" quato_code = '" + index + "' " +
|
|
|
" and level1_type = '" + level + "' and del = '1' " +
|
|
|
" and quota_date >= '" + startDate + "' " +
|
|
|
" and quota_date <= '" + dateCon + "' " +
|
|
|
" and " + areaField + " = '" + area + "' ";
|
|
|
|
|
|
List<Map<String, Object>> resultList = jdbcTemplate.queryForList(sql);
|
|
|
|
|
|
if (resultList != null) {
|
|
|
for (Map<String, Object> map : resultList) {
|
|
|
if (countResult.containsKey(map.get("range").toString())) {
|
|
|
JSONObject range = (JSONObject) countResult.get(map.get("range").toString());
|
|
|
long amount = range.getLong("amount");
|
|
|
long resultAmount = map.get("amount") != null ? Long.valueOf(map.get("amount").toString()) : 0L;
|
|
|
range.put("amount", amount + resultAmount);
|
|
|
}
|
|
|
}
|
|
|
|
|
|
List<JSONObject> result = new ArrayList<>(countResult.values());
|
|
|
|
|
|
result.sort(new Comparator<JSONObject>() {
|
|
|
@Override
|
|
|
public int compare(JSONObject o1, JSONObject o2) {
|
|
|
if (o1.getString("range").compareTo(o2.getString("range")) > 0) {
|
|
|
return 1;
|
|
|
} else if (o1.getString("range").compareTo(o2.getString("range")) < 0) {
|
|
|
return -1;
|
|
|
} else {
|
|
|
return 0;
|
|
|
}
|
|
|
}
|
|
|
});
|
|
|
|
|
|
return new JSONArray(result);
|
|
|
} else {
|
|
|
return new JSONArray();
|
|
|
}
|
|
|
}
|
|
|
|
|
|
/**
|
|
|
* 按周统计
|
|
|
*
|
|
|
* @param startDate
|
|
|
* @param endDate
|
|
|
* @param area
|
|
|
* @param level
|
|
|
* @param index
|
|
|
* @return
|
|
|
*/
|
|
|
private JSONArray weekTotalStatistics(String startDate, String endDate, String area, int level, String index) throws Exception {
|
|
|
String areaField = "";
|
|
|
String sql = "";
|
|
|
SimpleDateFormat df = new SimpleDateFormat("yyyy-MM-dd");
|
|
|
String dateCon = endDate;
|
|
|
|
|
|
if (endDate.compareTo(df.format(new Date())) == 0) {
|
|
|
Calendar calendar = Calendar.getInstance();
|
|
|
calendar.add(Calendar.DATE, -1);
|
|
|
dateCon = df.format(calendar.getTime());
|
|
|
}
|
|
|
|
|
|
if (level == 4) {
|
|
|
// 市级别
|
|
|
areaField = "city";
|
|
|
} else if (level == 3) {
|
|
|
// 区、城镇级别
|
|
|
areaField = "town";
|
|
|
} else if (level == 2) {
|
|
|
// 机构级别
|
|
|
areaField = "org_code";
|
|
|
} else if (level == 1) {
|
|
|
// 机构级别
|
|
|
areaField = "qkdoctor_code";
|
|
|
}
|
|
|
|
|
|
// 起始日期
|
|
|
Calendar start = Calendar.getInstance();
|
|
|
start.setTime(DateUtil.strToDate(startDate, DateUtil.YYYY_MM_DD));
|
|
|
// 第一个统计周期结束日期
|
|
|
String firstEnd = "";
|
|
|
// 结束日期
|
|
|
Calendar end = Calendar.getInstance();
|
|
|
end.setTime(DateUtil.strToDate(endDate, DateUtil.YYYY_MM_DD));
|
|
|
// 起始日期为周几
|
|
|
int week = start.get(Calendar.DAY_OF_WEEK);
|
|
|
int incre = 7 - week + 1;
|
|
|
|
|
|
// 日期集合
|
|
|
List<Calendar> days = new ArrayList<>();
|
|
|
days.add(start);
|
|
|
boolean flag = true;
|
|
|
int i = 0;
|
|
|
|
|
|
if (startDate.compareTo(endDate) == 0) {
|
|
|
flag = false;
|
|
|
days.add(end);
|
|
|
firstEnd = df.format(end.getTime());
|
|
|
}
|
|
|
|
|
|
// 计算统计日期
|
|
|
while (flag) {
|
|
|
Calendar next = Calendar.getInstance();
|
|
|
next.setTime(days.get(days.size() - 1).getTime());
|
|
|
|
|
|
if (i == 0) {
|
|
|
if (incre != 7) {
|
|
|
next.add(Calendar.DATE, incre);
|
|
|
}
|
|
|
} else {
|
|
|
next.add(Calendar.DATE, 7);
|
|
|
}
|
|
|
if (df.format(next.getTime()).compareTo(df.format(end.getTime())) < 0) {
|
|
|
days.add(next);
|
|
|
if (i == 0) {
|
|
|
firstEnd = df.format(next.getTime());
|
|
|
}
|
|
|
} else {
|
|
|
days.add(end);
|
|
|
flag = false;
|
|
|
if (i == 0) {
|
|
|
firstEnd = df.format(end.getTime());
|
|
|
}
|
|
|
}
|
|
|
|
|
|
i++;
|
|
|
}
|
|
|
|
|
|
// 结果集
|
|
|
Map<String, JSONObject> countResult = new HashMap<>();
|
|
|
|
|
|
// 算出每个查询周期
|
|
|
for (int j = 0; j < days.size() - 1; j++) {
|
|
|
String startStr = "";
|
|
|
String endStr = df.format(days.get(j + 1).getTime());
|
|
|
long amount = 0;
|
|
|
|
|
|
// 起始、截止日期
|
|
|
if (j == 0) {
|
|
|
startStr = df.format(days.get(j).getTime());
|
|
|
} else {
|
|
|
Calendar cal = Calendar.getInstance();
|
|
|
cal.setTime(days.get(j).getTime());
|
|
|
cal.add(Calendar.DATE, 1);
|
|
|
startStr = df.format(cal.getTime());
|
|
|
}
|
|
|
|
|
|
// 当前范围包含当天，则需添加当天的统计数据
|
|
|
if (startStr.compareTo(df.format(new Date())) <= 0 && endStr.compareTo(df.format(new Date())) >= 0) {
|
|
|
String val = redisTemplate.opsForValue().get("quota:" + index + ":" + level + ":" + area + ":" + getQuotaTimeStamp());
|
|
|
if (!StringUtils.isEmpty(val)) {
|
|
|
JSONObject valJson = new JSONObject(val);
|
|
|
if (valJson.has("num")) {
|
|
|
amount = valJson.getInt("num");
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
|
|
|
JSONObject range = new JSONObject();
|
|
|
|
|
|
range.put("range", endStr);
|
|
|
range.put("amount", amount);
|
|
|
|
|
|
countResult.put(endStr, range);
|
|
|
}
|
|
|
|
|
|
if (startDate.equals(df.format(new Date()))) {
|
|
|
Calendar preDate = Calendar.getInstance();
|
|
|
preDate.setTime(df.parse(endDate));
|
|
|
preDate.add(Calendar.DATE, -1);
|
|
|
|
|
|
startDate = df.format(preDate.getTime());
|
|
|
}
|
|
|
|
|
|
// 查询时间范围内所有记录
|
|
|
sql = " select " +
|
|
|
" ifnull(quota_date,'') as 'range' " +
|
|
|
" ,ifnull(result,'0') amount " +
|
|
|
" from " +
|
|
|
" wlyy_quota_result " +
|
|
|
" where " +
|
|
|
" quato_code = '" + index + "' " +
|
|
|
" and level1_type = '" + level + "' and del = '1' " +
|
|
|
" and quota_date >= '" + startDate + "' " +
|
|
|
" and quota_date <= '" + dateCon + "' " +
|
|
|
" and " + areaField + " = '" + area + "' ";
|
|
|
|
|
|
List<Map<String, Object>> resultList = jdbcTemplate.queryForList(sql);
|
|
|
|
|
|
if (resultList != null) {
|
|
|
// 计算结果
|
|
|
for (Map<String, Object> map : resultList) {
|
|
|
String range = map.get("range").toString();
|
|
|
JSONObject json = countResult.get(range);
|
|
|
|
|
|
if (json != null) {
|
|
|
long amount = map.get("amount") == null ? 0L : Long.valueOf(map.get("amount").toString());
|
|
|
json.put("amount", amount);
|
|
|
}
|
|
|
}
|
|
|
|
|
|
List<JSONObject> result = new ArrayList<>(countResult.values());
|
|
|
|
|
|
// 排序
|
|
|
result.sort(new Comparator<JSONObject>() {
|
|
|
@Override
|
|
|
public int compare(JSONObject o1, JSONObject o2) {
|
|
|
if (o1.getString("range").compareTo(o2.getString("range")) > 0) {
|
|
|
return 1;
|
|
|
} else if (o1.getString("range").compareTo(o2.getString("range")) < 0) {
|
|
|
return -1;
|
|
|
} else {
|
|
|
return 0;
|
|
|
}
|
|
|
}
|
|
|
});
|
|
|
|
|
|
return new JSONArray(result);
|
|
|
} else {
|
|
|
return new JSONArray();
|
|
|
}
|
|
|
}
|
|
|
|
|
|
/**
|
|
|
* 按月统计
|
|
|
*
|
|
|
* @param startDate
|
|
|
* @param endDate
|
|
|
* @param area
|
|
|
* @param level
|
|
|
* @param index
|
|
|
* @return
|
|
|
* @throws Exception
|
|
|
*/
|
|
|
private JSONArray monthTotalStatistics(String startDate, String endDate, String area, int level, String index) throws Exception {
|
|
|
String areaField = "";
|
|
|
String sql = "";
|
|
|
SimpleDateFormat df = new SimpleDateFormat("yyyy-MM-dd");
|
|
|
String dateCon = endDate;
|
|
|
|
|
|
if (endDate.compareTo(df.format(new Date())) == 0) {
|
|
|
Calendar calendar = Calendar.getInstance();
|
|
|
calendar.add(Calendar.DATE, -1);
|
|
|
dateCon = df.format(calendar.getTime());
|
|
|
}
|
|
|
|
|
|
if (level == 4) {
|
|
|
// 市级别
|
|
|
areaField = "city";
|
|
|
} else if (level == 3) {
|
|
|
// 区、城镇级别
|
|
|
areaField = "town";
|
|
|
} else if (level == 2) {
|
|
|
// 机构级别
|
|
|
areaField = "org_code";
|
|
|
} else if (level == 1) {
|
|
|
// 机构级别
|
|
|
areaField = "qkdoctor_code";
|
|
|
}
|
|
|
|
|
|
// 起始日期
|
|
|
Calendar start = Calendar.getInstance();
|
|
|
start.setTime(DateUtil.strToDate(startDate, DateUtil.YYYY_MM_DD));
|
|
|
// 结束日期
|
|
|
Calendar end = Calendar.getInstance();
|
|
|
end.setTime(DateUtil.strToDate(endDate, DateUtil.YYYY_MM_DD));
|
|
|
// 第一个结束日期
|
|
|
String firstEnd = "";
|
|
|
|
|
|
// 日期集合
|
|
|
List<Calendar> days = new ArrayList<>();
|
|
|
days.add(start);
|
|
|
|
|
|
boolean flag = true;
|
|
|
int k = 0;
|
|
|
|
|
|
if (startDate.compareTo(endDate) == 0) {
|
|
|
flag = false;
|
|
|
days.add(end);
|
|
|
}
|
|
|
|
|
|
// 统计日期计算
|
|
|
while (flag) {
|
|
|
Calendar next = Calendar.getInstance();
|
|
|
|
|
|
next.setTime(days.get(days.size() - 1).getTime());
|
|
|
if (k == 0) {
|
|
|
next.add(Calendar.MONTH, 1);
|
|
|
} else {
|
|
|
next.add(Calendar.MONTH, 2);
|
|
|
}
|
|
|
next.set(Calendar.DAY_OF_MONTH, 1);
|
|
|
next.add(Calendar.DAY_OF_MONTH, -1);
|
|
|
|
|
|
if (df.format(next.getTime()).compareTo(df.format(end.getTime())) < 0) {
|
|
|
days.add(next);
|
|
|
} else {
|
|
|
days.add(end);
|
|
|
flag = false;
|
|
|
}
|
|
|
k++;
|
|
|
}
|
|
|
|
|
|
// 统计结果
|
|
|
Map<String, JSONObject> countResult = new HashMap<>();
|
|
|
|
|
|
for (int i = 0; i < days.size() - 1; i++) {
|
|
|
String startStr = "";
|
|
|
String endStr = df.format(days.get(i + 1).getTime());
|
|
|
int amount = 0;
|
|
|
|
|
|
// 起始时间计算
|
|
|
if (i == 0) {
|
|
|
startStr = df.format(days.get(i).getTime());
|
|
|
} else {
|
|
|
Calendar cal = Calendar.getInstance();
|
|
|
cal.setTime(days.get(i).getTime());
|
|
|
cal.add(Calendar.DATE, 1);
|
|
|
startStr = df.format(cal.getTime());
|
|
|
}
|
|
|
|
|
|
// 当天数据计算
|
|
|
if (startStr.compareTo(df.format(new Date())) <= 0 && endStr.compareTo(df.format(new Date())) >= 0) {
|
|
|
String val = redisTemplate.opsForValue().get("quota:" + index + ":" + level + ":" + area + ":" + getQuotaTimeStamp());
|
|
|
if (!StringUtils.isEmpty(val)) {
|
|
|
JSONObject valJson = new JSONObject(val);
|
|
|
if (valJson.has("num")) {
|
|
|
amount = valJson.getInt("num");
|
|
|
}
|
|
|
}
|
|
|
}
|
|
|
|
|
|
JSONObject range = new JSONObject();
|
|
|
|
|
|
range.put("range", endStr);
|
|
|
range.put("amount", amount);
|
|
|
|
|
|
countResult.put(endStr, range);
|
|
|
}
|
|
|
|
|
|
if (startDate.equals(df.format(new Date()))) {
|
|
|
Calendar preDate = Calendar.getInstance();
|
|
|
preDate.setTime(df.parse(endDate));
|
|
|
preDate.add(Calendar.DATE, -1);
|
|
|
|
|
|
startDate = df.format(preDate.getTime());
|
|
|
}
|
|
|
|
|
|
// 查询时间范围内所有记录
|
|
|
sql = " select " +
|
|
|
" ifnull(quota_date,'') as 'range' " +
|
|
|
" ,ifnull(result,'0') amount " +
|
|
|
" from " +
|
|
|
" wlyy_quota_result " +
|
|
|
" where " +
|
|
|
" quato_code = '" + index + "' " +
|
|
|
" and level1_type = '" + level + "' and del = '1' " +
|
|
|
" and quota_date >= '" + startDate + "' " +
|
|
|
" and quota_date <= '" + dateCon + "' " +
|
|
|
" and " + areaField + " = '" + area + "' ";
|
|
|
|
|
|
List<Map<String, Object>> resultList = jdbcTemplate.queryForList(sql);
|
|
|
|
|
|
if (resultList != null) {
|
|
|
String pre = "";
|
|
|
if (endDate.equals(df.format(new Date()))) {
|
|
|
Calendar preDate = Calendar.getInstance();
|
|
|
preDate.setTime(df.parse(endDate));
|
|
|
preDate.add(Calendar.DATE, -1);
|
|
|
pre = df.format(preDate.getTime());
|
|
|
}
|
|
|
// 计算结果
|
|
|
for (Map<String, Object> map : resultList) {
|
|
|
String range = map.get("range").toString();
|
|
|
JSONObject json = countResult.get(range);
|
|
|
|
|
|
if (json != null) {
|
|
|
long amount = map.get("amount") == null ? 0L : Long.valueOf(map.get("amount").toString());
|
|
|
json.put("amount", amount);
|
|
|
}
|
|
|
}
|
|
|
|
|
|
List<JSONObject> result = new ArrayList<>(countResult.values());
|
|
|
|
|
|
// 排序
|
|
|
result.sort(new Comparator<JSONObject>() {
|
|
|
@Override
|
|
|
public int compare(JSONObject o1, JSONObject o2) {
|
|
|
if (o1.getString("range").compareTo(o2.getString("range")) > 0) {
|
|
|
return 1;
|
|
|
} else if (o1.getString("range").compareTo(o2.getString("range")) < 0) {
|
|
|
return -1;
|
|
|
} else {
|
|
|
return 0;
|
|
|
}
|
|
|
}
|
|
|
});
|
|
|
|
|
|
return new JSONArray(result);
|
|
|
} else {
|
|
|
return new JSONArray();
|
|
|
}
|
|
|
}
|
|
|
|
|
|
}
|
