yangys
2024-03-29 e7aaa62a5c499747275a78ed6157024f15b9ab1e
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
package com.qianwen.smartman.modules.report.service.impl;
 
import cn.hutool.cache.CacheUtil;
import cn.hutool.cache.impl.TimedCache;
import cn.hutool.core.collection.CollectionUtil;
import cn.hutool.core.convert.Convert;
import cn.hutool.json.JSONObject;
import com.baomidou.mybatisplus.core.metadata.IPage;
import java.time.LocalDate;
import java.util.ArrayList;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.concurrent.Callable;
import java.util.function.Function;
import java.util.stream.Collectors;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.qianwen.core.tool.utils.BeanUtil;
import com.qianwen.core.tool.utils.Func;
import com.qianwen.smartman.modules.cps.dto.ShiftInfoDTO;
import com.qianwen.smartman.modules.cps.mapper.CalendarMapper;
import com.qianwen.smartman.modules.cps.mapper.WorkstationMapper;
import com.qianwen.smartman.modules.mdc.entity.SuperAggregateOutput;
import com.qianwen.smartman.modules.mdc.enums.OpenTypeEnums;
import com.qianwen.smartman.modules.mdc.enums.StatisticalMethodEnum;
import com.qianwen.smartman.modules.mdc.mapper.SuperAggregateOutputMapper;
import com.qianwen.smartman.modules.mdc.utils.FilterOffUtils;
import com.qianwen.smartman.modules.report.dto.WorkstationDataDTO;
import com.qianwen.smartman.modules.report.dto.WorkstationShiftDTO;
import com.qianwen.smartman.modules.report.mapper.CommonMapper;
import com.qianwen.smartman.modules.report.service.IOutputStatisticsReportService;
import com.qianwen.smartman.modules.report.utils.CommonUtil;
import com.qianwen.smartman.modules.report.utils.DateCycleUtil;
import com.qianwen.smartman.modules.report.utils.ResultUtil;
import com.qianwen.smartman.modules.report.utils.ThreadPoolUtil;
import com.qianwen.smartman.modules.report.vo.OutputResultVO;
import com.qianwen.smartman.modules.report.vo.OutputShiftResultVO;
import com.qianwen.smartman.modules.report.vo.StatisticsQueryVO;
import org.springframework.stereotype.Service;
 
@Service
/* loaded from: blade-api.jar:BOOT-INF/classes/org/springblade/modules/report/service/impl/OutputStatisticsReportServiceImpl.class */
public class OutputStatisticsReportServiceImpl implements IOutputStatisticsReportService {
    private final SuperAggregateOutputMapper aggregateOutputMapper;
    private final WorkstationMapper workstationMapper;
    private final CalendarMapper calendarMapper;
    private final CommonMapper commonMapper;
    private static final String TIME_CONDITION = "timeCondition";
    private static final String OUTPUT_TABLE_NAME = "aggregate_output";
    private static final int TIMEOUT = 1800000;
    private static final String SHIFT_KYE = "shift-";
    private static final String DATE_KYE = "date-";
    private static final Logger log = LoggerFactory.getLogger(OutputStatisticsReportServiceImpl.class);
    private static final TimedCache<String, OutputShiftResultVO> RESULT_TIMED_CACHE = CacheUtil.newTimedCache(1800000);
 
    public OutputStatisticsReportServiceImpl(final SuperAggregateOutputMapper aggregateOutputMapper, final WorkstationMapper workstationMapper, final CalendarMapper calendarMapper, final CommonMapper commonMapper) {
        this.aggregateOutputMapper = aggregateOutputMapper;
        this.workstationMapper = workstationMapper;
        this.calendarMapper = calendarMapper;
        this.commonMapper = commonMapper;
    }
 
    @Override // org.springblade.modules.report.service.IOutputStatisticsReportService
    public JSONObject outputStatisticsByShift(StatisticsQueryVO queryVO) {
        queryVO.setBeginTime(DateCycleUtil.setTimeCondition(TIME_CONDITION, Boolean.TRUE));
        queryVO.setEndTime(DateCycleUtil.setTimeCondition(TIME_CONDITION, Boolean.FALSE));
        StatisticalMethodEnum anEnum = StatisticalMethodEnum.DAY;
        List<String> fillDateCol = DateCycleUtil.fillDateCol(queryVO.getBeginTime(), queryVO.getEndTime(), anEnum);
        IPage<WorkstationDataDTO> iPage = workstations(queryVO);
        List<WorkstationDataDTO> workstationData = iPage.getRecords();
        if (CollectionUtil.isEmpty(workstationData)) {
            return new JSONObject();
        }
        List<Long> ids =  workstationData.parallelStream().map((v0) -> {
            return v0.getWorkstationId();
        }).collect(Collectors.toList());
        List<ShiftInfoDTO> shiftInfoDtoList = this.calendarMapper.listShiftInfo(ids, LocalDate.parse(queryVO.getBeginTime()), LocalDate.parse(queryVO.getEndTime()));
        List<WorkstationShiftDTO> workstationShifts = CommonUtil.dataMerge(workstationData, shiftInfoDtoList);
        List<WorkstationShiftDTO> filter =workstationShifts.parallelStream().filter(CommonUtil.conditionFilter(queryVO.getShiftName(), queryVO.getShiftIndex())).collect(Collectors.toList());
        List<OutputShiftResultVO> result = settingResult(fillDateCol, filter);
        String beginTime = DateCycleUtil.getDateByDateCycle(queryVO.getBeginTime(), anEnum, Boolean.TRUE);
        String endTime = DateCycleUtil.getDateByDateCycle(queryVO.getEndTime(), anEnum, Boolean.FALSE);
        List<SuperAggregateOutput> outputs = multithreadingTask(beginTime, endTime, ids, queryVO.getStatisticsType());
        Map<String, List<SuperAggregateOutput>> workstationOutMap = outputs.parallelStream().collect(Collectors.groupingBy(s -> {
            return s.getWorkstationId() + "-" + s.getShiftIndex();
        }));
        //Map<String, OutputShiftResultVO> voMap2 = (Map<String, OutputShiftResultVO>)result.parallelStream().collect(LinkedHashMap::new, (map, c) -> {map.put(c.getWorkstationId() + "-" + c.getShiftIndex() + "-" + c.getDateCycle(), c)}, Map::putAll);
       
        Map<String, OutputShiftResultVO> voMap =  result.parallelStream().collect(LinkedHashMap::new, (map, c) -> {
            
            OutputShiftResultVO outputShiftResultVO = (OutputShiftResultVO) map.put(c.getWorkstationId() + "-" + c.getShiftIndex() + "-" + c.getDateCycle(), c);
        }, (v0, v1) -> {
            v0.putAll(v1);
        }); /**/
        resultCount(workstationOutMap, anEnum, voMap);
        return ResultUtil.dataToJsonObject(voMap.values(), Long.valueOf(iPage.getTotal()), queryVO.getPageSize());
    }
 
    private List<OutputShiftResultVO> settingResult(List<String> fillDateCol, List<? extends WorkstationDataDTO> filter) {
        List<OutputShiftResultVO> result = new ArrayList<>();
        fillDateCol.forEach(f -> {
            filter.forEach(shift -> {
                String key = f + "-" + shift.getWorkstationId();
                String key2 = shift instanceof WorkstationShiftDTO ? SHIFT_KYE + ((WorkstationShiftDTO) shift).getShiftIndex() + key : DATE_KYE + key;
                OutputShiftResultVO resultVO = (OutputShiftResultVO) RESULT_TIMED_CACHE.get(key2);
                if (resultVO == null) {
                    resultVO = new OutputShiftResultVO();
                    RESULT_TIMED_CACHE.put(key2, resultVO);
                }
                BeanUtil.copyProperties(shift, resultVO);
                resultVO.setDateCycle(f);
                resultVO.setOutputCount(0L);
                result.add(resultVO);
            });
        });
        return result;
    }
 
    private <T, R extends OutputResultVO> void resultCount(Map<T, List<SuperAggregateOutput>> workstationOutMap, StatisticalMethodEnum anEnum, Map<String, R> voMap) {
        workstationOutMap.forEach((outputKey, outputList) -> {
            Map<String, Long> output = outputList.parallelStream().collect(Collectors.groupingBy(groupKey(anEnum), Collectors.mapping((v0) -> {
                return v0.getOutput();
            }, Collectors.reducing(0L, (v0, v1) -> {
                return Long.sum(v0, v1);
            }))));
            output.forEach((k, v) -> {
                OutputResultVO vo = (OutputResultVO) voMap.get(outputKey + "-" + k);
                if (!Objects.isNull(vo)) {
                    vo.setOutputCount(v);
                }
            });
        });
    }
 
    private IPage<WorkstationDataDTO> workstations(StatisticsQueryVO queryVO) {
        IPage<WorkstationDataDTO> workstationData;
        IPage<WorkstationDataDTO> workstationData2 = CommonUtil.getIPage(WorkstationDataDTO.class, queryVO.getPageSize(), queryVO.getPageNo(), this.workstationMapper);
        if (Func.isEmpty(queryVO.getShiftName())) {
            workstationData = this.workstationMapper.getWorkstationData(workstationData2, queryVO.getKeyword(), queryVO.getWorkstationIds());
        } else {
            workstationData = this.workstationMapper.getWorkstationDataWithIndexName(workstationData2, queryVO.getKeyword(), queryVO.getShiftName(), queryVO.getBeginTime(), queryVO.getEndTime(), queryVO.getWorkstationIds());
        }
        CommonUtil.fillWorkStationGroup(workstationData);
        return workstationData;
    }
 
    @Override // org.springblade.modules.report.service.IOutputStatisticsReportService
    public JSONObject outputStatisticsByDate(StatisticsQueryVO queryVO) {
        queryVO.setBeginTime(DateCycleUtil.setTimeCondition(TIME_CONDITION, Boolean.TRUE));
        queryVO.setEndTime(DateCycleUtil.setTimeCondition(TIME_CONDITION, Boolean.FALSE));
        StatisticalMethodEnum anEnum = StatisticalMethodEnum.of(queryVO.getDateCycle());
        List<String> fillDateCol = DateCycleUtil.fillDateCol(queryVO.getBeginTime(), queryVO.getEndTime(), anEnum);
        String beginTime = DateCycleUtil.getDateByDateCycle(queryVO.getBeginTime(), anEnum, Boolean.TRUE);
        String endTime = DateCycleUtil.getDateByDateCycle(queryVO.getEndTime(), anEnum, Boolean.FALSE);
        IPage<WorkstationDataDTO> iPage = workstations(queryVO);
        List<WorkstationDataDTO> workstationData = iPage.getRecords();
        if (CollectionUtil.isEmpty(workstationData)) {
            return new JSONObject();
        }
        List<OutputResultVO> result = Convert.toList(OutputResultVO.class, settingResult(fillDateCol, workstationData));
        Map<String, OutputResultVO> voMap = result.parallelStream().collect(Collectors.toMap(c -> {
            return c.getWorkstationId() + "-" + c.getDateCycle();
        }, o -> {
            return o;
        }));
        List<Long> ids = workstationData.parallelStream().map((v0) -> {
            return v0.getWorkstationId();
        }).collect(Collectors.toList());
        List<SuperAggregateOutput> outputs = multithreadingTask(beginTime, endTime, ids, queryVO.getStatisticsType());
        Map<Long, List<SuperAggregateOutput>> workstationOutMap = outputs.parallelStream().collect(Collectors.groupingBy((v0) -> {
            return v0.getWorkstationId();
        }));
        resultCount(workstationOutMap, anEnum, voMap);
        return ResultUtil.dataToJsonObject(voMap.values(), Long.valueOf(iPage.getTotal()), queryVO.getPageSize());
    }
 
    private Function<SuperAggregateOutput, String> groupKey(StatisticalMethodEnum statisticalMethodEnum) {
        switch (statisticalMethodEnum) {
            case DAY:
                return output -> {
                    return DateCycleUtil.getDateCycle(statisticalMethodEnum, String.valueOf(output.getFactoryDate()));
                };
            case WEEK:
                return output2 -> {
                    return DateCycleUtil.getDateCycle(statisticalMethodEnum, String.valueOf(output2.getFactoryWeek()));
                };
            case MONTH:
                return output3 -> {
                    return DateCycleUtil.getDateCycle(statisticalMethodEnum, String.valueOf(output3.getFactoryMonth()));
                };
            default:
                return output4 -> {
                    return DateCycleUtil.getDateCycle(statisticalMethodEnum, String.valueOf(output4.getWorkstationId()));
                };
        }
    }
 
    private List<SuperAggregateOutput> multithreadingTask(String beginTime, String endTime, List<Long> workstationIds, Integer statisticsType) {
        List<String> childOutputTables = this.commonMapper.getItemBySuperTable(OUTPUT_TABLE_NAME, workstationIds);
        if (CollectionUtil.isEmpty(childOutputTables)) {
            return new ArrayList();
        }
        List<Callable<List<SuperAggregateOutput>>> callables = new ArrayList<>();
        workstationIds.forEach(id -> {
            callables.add(() -> {
                if (!childOutputTables.contains("aggregate_output_" + id)) {
                    return new ArrayList();
                }
                List<SuperAggregateOutput> output = this.aggregateOutputMapper.getOutputByDateCycleAndWorkstationId(beginTime, endTime, id, statisticsType);
                return FilterOffUtils.filterOffDay(output, OpenTypeEnums.OUT_PUT);
            });
        });
        return ThreadPoolUtil.createTaskList(callables);
    }
}