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@ -180,11 +180,4 @@ public class ProjectController {
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return ApiResponse.ok(netprojctService.selectUserProjectPeriod(projctSeq));
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}
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@ParameterCheck
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@GetMapping("/people/{memberSeq}")
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public ApiResponse<List<MapDto>> selectUserProjectPeriod2(@PathVariable int memberSeq) {
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return ApiResponse.ok(netprojctService.selectUserProjectPeriod2(memberSeq));
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}
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}
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@ -1,9 +1,5 @@
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package io.company.localhost.controller.common;
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import java.time.Duration;
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import java.time.LocalDate;
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import java.time.LocalDateTime;
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import java.time.format.DateTimeFormatter;
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import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.List;
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@ -69,84 +65,60 @@ public class WeatherController {
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JsonNode nodeData = objectMapper.readTree(jsonData);
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JsonNode forecastList = nodeData.get("list");
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// 현재 날짜 및 시간 계산
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LocalDate today = LocalDate.now();
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LocalDateTime nowTime = LocalDateTime.now();
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DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
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// 날짜별 데이터를 그룹화
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// 날짜별로 데이터 그룹화
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Map<String, List<String>> dailyWeathers = new HashMap<>();
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Map<String, List<String>> dailyDescriptions = new HashMap<>();
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Map<String, List<String>> dailyIcons = new HashMap<>();
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// 오늘 예보 중 가장 가까운 예보 저장 변수
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JsonNode closestForecastToday = null;
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long minDiff = Long.MAX_VALUE;
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// forecastList를 순회하며 데이터를 그룹화하고, 오늘의 경우 가장 가까운 forecast 선택
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for (JsonNode forecast : forecastList) {
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String dtTxt = forecast.get("dt_txt").asText();
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String date = dtTxt.split(" ")[0]; // 날짜 추출 (예: "2025-04-04")
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String date = forecast.get("dt_txt").asText().split(" ")[0]; //날짜 추출
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JsonNode weather = forecast.get("weather").get(0);
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String mainWeather = weather.get("main").asText();
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String description = weather.get("description").asText();
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String icon = weather.get("icon").asText();
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// 해당 날짜의 리스트에 추가 (map이 없으면 생성)
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dailyWeathers.computeIfAbsent(date, k -> new ArrayList<>()).add(mainWeather);
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dailyDescriptions.computeIfAbsent(date, k -> new ArrayList<>()).add(description);
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dailyIcons.computeIfAbsent(date, k -> new ArrayList<>()).add(icon);
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// 오늘 날짜의 forecast라면 현재 시간과의 차이 계산
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if (date.equals(today.toString())) {
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LocalDateTime forecastTime = LocalDateTime.parse(dtTxt, formatter);
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long diff = Math.abs(Duration.between(forecastTime, nowTime).toMillis());
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if (diff < minDiff) {
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minDiff = diff;
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closestForecastToday = forecast;
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}
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}
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if (!dailyWeathers.containsKey(date)) {
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dailyWeathers.put(date, new ArrayList<>());
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dailyDescriptions.put(date, new ArrayList<>());
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dailyIcons.put(date, new ArrayList<>());
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}
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// 최종적으로 각 날짜의 대표 날씨 결정
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dailyWeathers.get(date).add(mainWeather);
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dailyDescriptions.get(date).add(description);
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dailyIcons.get(date).add(icon);
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}
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// 각 날짜별 대표 날씨 결정 (가장 빈번한 날씨 상태)
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List<WeatherVo> dailyWeatherList = new ArrayList<>();
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for (String date : dailyWeathers.keySet()) {
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String repMainWeather;
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String repDescription;
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String repIcon;
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// 오늘인 경우, 가장 가까운 forecast의 아이콘과 설명 사용
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if (date.equals(today.toString()) && closestForecastToday != null) {
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JsonNode weather = closestForecastToday.get("weather").get(0);
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repMainWeather = weather.get("main").asText();
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repDescription = weather.get("description").asText();
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repIcon = weather.get("icon").asText();
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} else {
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// 기타 날짜는 기존 방식대로 가장 빈번한 날씨 상태 선택
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for (String date : dailyWeathers.keySet()) {
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List<String> weathers = dailyWeathers.get(date);
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List<String> descriptions = dailyDescriptions.get(date);
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List<String> icons = dailyIcons.get(date);
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// 가장 빈번한 날씨 찾기(카운팅)
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Map<String, Integer> weatherCounts = new HashMap<>();
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for (String w : weathers) {
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weatherCounts.put(w, weatherCounts.getOrDefault(w, 0) + 1);
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}
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repMainWeather = "";
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String mainWeather = "";
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int maxCount = 0;
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for (Map.Entry<String, Integer> entry : weatherCounts.entrySet()) {
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if (entry.getValue() > maxCount) {
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maxCount = entry.getValue();
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repMainWeather = entry.getKey();
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mainWeather = entry.getKey();
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}
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}
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int repIndex = weathers.indexOf(repMainWeather);
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repDescription = descriptions.get(repIndex);
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repIcon = icons.get(repIndex);
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}
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dailyWeatherList.add(new WeatherVo(date, repMainWeather, repDescription, repIcon));
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// 평균값 계산
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int mainWeatherIndex = weathers.indexOf(mainWeather);
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String description = descriptions.get(mainWeatherIndex);
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String icon = icons.get(mainWeatherIndex);
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dailyWeatherList.add(new WeatherVo(date, mainWeather, description, icon));
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}
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return dailyWeatherList;
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@ -34,7 +34,4 @@ public interface NetprojctMapper {
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int deleteProject(MapDto map);
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List<MapDto> selectUserProjectPeriod(int projectSeq);
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List<MapDto> selectUserProjectPeriod2(int memberSeq);
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}
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@ -175,8 +175,4 @@ public class NetprojctService {
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return netprojctMapper.selectUserProjectPeriod(projctSeq);
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}
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public List<MapDto> selectUserProjectPeriod2(int memberSeq) {
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return netprojctMapper.selectUserProjectPeriod2(memberSeq);
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}
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}
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@ -288,29 +288,32 @@ public class localvacaService {
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return emp;
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}).collect(Collectors.toList());
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}
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/**
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* 총 연차 계산 로직
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*/
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public int procCalculateTotalVacation(LocalDate hireDate) {
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LocalDate today = LocalDate.now();
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int hireYear = hireDate.getYear();
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int currentYear = today.getYear();
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int hireYear = hireDate.getYear();
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int hireMonth = hireDate.getMonthValue();
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// 입사년도와 현재년도가 같으면 : (12 - 입사월)
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// 올해 입사자 → 1년 미만: 입사월 이후로 계산
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if (hireYear == currentYear) {
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return 12 - hireDate.getMonthValue();
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return 12 - hireMonth;
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}
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// 기본 연차 15
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int totalVacation = 15;
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// 입사년도 기준 3년차 1월부터, 매 2년마다 1개씩 증가
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LocalDate accrualDate = LocalDate.of(hireYear + 3, 1, 1);
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// 2년 경과 이후부터, 입사월이 도래했을 때 1개씩 추가
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LocalDate baseDate = hireDate.plusYears(2).withDayOfMonth(1);
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while (!accrualDate.isAfter(today)) {
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totalVacation++;
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accrualDate = accrualDate.plusYears(2);
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while (!baseDate.isAfter(today)) {
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// 입사월이 현재 달과 같거나 지났을 때만 연차 추가
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if (baseDate.getYear() == today.getYear() && baseDate.getMonthValue() > today.getMonthValue()) {
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break; // 아직 입사월이 도달하지 않았으면 종료
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}
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totalVacation += 1;
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baseDate = baseDate.plusYears(2);
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}
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return totalVacation;
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@ -95,8 +95,6 @@ logging:
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connection: off
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io.company: DEBUG
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io.company.localhost.mapper: off
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file:
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path: logs
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filePath:
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@ -121,60 +121,30 @@
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m.MEMBERNAM,
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p.PROJCTSEQ,
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p.PROJCTNAM,
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p.PROJCTSTR AS projectStartDate,
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p.PROJCTEND AS projectEndDate,
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COALESCE((
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SELECT MIN(c2.COMMUTDAY)
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FROM commuters c2
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WHERE c2.PROJCTSEQ = p.PROJCTSEQ
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AND c2.MEMBERSEQ = m.MEMBERSEQ
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), p.PROJCTSTR) AS userStartDate,
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COALESCE((
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SELECT MAX(c2.COMMUTDAY)
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FROM commuters c2
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WHERE c2.PROJCTSEQ = p.PROJCTSEQ
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AND c2.MEMBERSEQ = m.MEMBERSEQ
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), p.PROJCTEND) AS userEndDate
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FROM
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netprojct p
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LEFT JOIN
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commuters c ON p.PROJCTSEQ = c.PROJCTSEQ
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LEFT JOIN
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netmember m ON c.MEMBERSEQ = m.MEMBERSEQ
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WHERE
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p.PROJCTSEQ = #{projectSeq}
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GROUP BY
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m.MEMBERSEQ, m.MEMBERNAM, p.PROJCTSEQ, p.PROJCTNAM, p.PROJCTSTR, p.PROJCTEND
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</select>
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<select id="selectUserProjectPeriod2" resultType="io.company.localhost.common.dto.MapDto">
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SELECT
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pm.MEMBERSEQ,
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p.PROJCTSEQ,
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p.PROJCTNAM,
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p.PROJCTSTR AS projectStartDate,
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p.PROJCTEND AS projectEndDate,
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p.PROJCTSTR as projectStartDate,
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p.PROJCTEND as projectEndDate,
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(
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SELECT MIN(c2.COMMUTDAY)
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FROM commuters c2
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WHERE c2.PROJCTSEQ = p.PROJCTSEQ
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AND c2.MEMBERSEQ = pm.MEMBERSEQ
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) AS userStartDate,
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CASE
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WHEN p.PROJCTEND IS NOT NULL THEN (
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AND c2.MEMBERSEQ = m.MEMBERSEQ
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) as userStartDate,
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(
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SELECT MAX(c2.COMMUTDAY)
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FROM commuters c2
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WHERE c2.PROJCTSEQ = p.PROJCTSEQ
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AND c2.MEMBERSEQ = pm.MEMBERSEQ
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)
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ELSE NULL
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END AS userEndDate
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FROM promember pm
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INNER JOIN netprojct p ON pm.PROJCTSEQ = p.PROJCTSEQ
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WHERE pm.MEMBERSEQ = #{memberSeq}
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AND pm.PROJCTYON = 1
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AND c2.MEMBERSEQ = m.MEMBERSEQ
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) as userEndDate
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FROM
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netprojct p
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INNER JOIN
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commuters c ON p.PROJCTSEQ = c.PROJCTSEQ
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INNER JOIN
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netmember m ON c.MEMBERSEQ = m.MEMBERSEQ
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WHERE
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p.PROJCTSEQ = #{projectSeq}
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GROUP BY
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m.MEMBERSEQ, p.PROJCTSEQ
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</select>
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</mapper>
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