opt:增加单据根据创建时间进行过滤
This commit is contained in:
@@ -1,36 +1,20 @@
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package org.nl.wms.external_system.erp;
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import cn.hutool.http.HttpRequest;
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import cn.hutool.http.HttpResponse;
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import com.alibaba.fastjson.JSON;
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import com.alibaba.fastjson.JSONObject;
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import com.kingdee.bos.webapi.entity.*;
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import com.kingdee.bos.webapi.sdk.K3CloudApi;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.commons.lang3.StringUtils;
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import org.nl.common.TableDataInfo;
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import org.nl.common.anno.Log;
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import org.nl.common.domain.entity.PageQuery;
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import org.nl.common.domain.exception.BadRequestException;
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import org.nl.wms.external_system.erp.dto.ErpQuery;
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import org.nl.wms.external_system.erp.dto.ErpSec;
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import org.nl.wms.pm_manage.form_data.service.IPmFormDataService;
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import org.nl.wms.pm_manage.form_data.service.dao.PmFormData;
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import org.nl.wms.sync_manage.service.form_mapping.ISyncFormMappingService;
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import org.nl.wms.sync_manage.service.form_mapping.dao.SyncFormMapping;
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import org.nl.wms.sync_manage.service.form_mapping.dto.FormMappingQuery;
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import org.springframework.beans.BeanUtils;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.expression.Expression;
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import org.springframework.expression.spel.standard.SpelExpressionParser;
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import org.springframework.expression.spel.support.StandardEvaluationContext;
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import org.springframework.http.HttpStatus;
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import org.springframework.http.ResponseEntity;
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import org.springframework.stereotype.Service;
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import org.springframework.util.CollectionUtils;
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import org.springframework.web.bind.annotation.*;
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import java.text.SimpleDateFormat;
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import java.util.*;
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import java.util.stream.Collectors;
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@@ -57,24 +41,29 @@ public class SyncErpService {
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ErpSec erpSec;
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public List<Object> syncData(SyncFormMapping syncFormMapping){
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public List<Object> syncData(SyncFormMapping syncFormMapping) {
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List<Object> result = new ArrayList<>();
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try {
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log.info("开始同步ERP"+ syncFormMapping.getForm_name());
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log.info("开始同步ERP" + syncFormMapping.getForm_name());
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IdentifyInfo identifyInfo = new IdentifyInfo();
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BeanUtils.copyProperties(erpSec,identifyInfo);
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BeanUtils.copyProperties(erpSec, identifyInfo);
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K3CloudApi cloudApi = new K3CloudApi(identifyInfo);
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String today = new SimpleDateFormat("yyyy-MM-dd").format(new Date());
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String filterString = "FCreateDate >= '" + today + " 00:00:00' and FCreateDate <= '" + today + " 23:59:59'";
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ErpQuery query = new ErpQuery();
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//todo:查询当天信息
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query.setFormId(syncFormMapping.getForm_type());
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List<List<Object>> lists = cloudApi.executeBillQuery(query.toString());
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log.info("同步ERP结果"+lists.size());
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query.setFilterString(filterString);
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//query.setFormId(syncFormMapping.getForm_type());
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query.setFormId("PRD_INSTOCK");
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query.setFieldKeys("FID");
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query.setLimit(2000);
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String jsonString = JSON.toJSONString(query);
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List<List<Object>> lists = cloudApi.executeBillQuery(jsonString);
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log.info("同步ERP结果" + lists.size());
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Set<String> ids = new HashSet<>();
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for (List<Object> list : lists) {
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for (Object o : list) {
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JSONObject json = (JSONObject) JSON.toJSON(o);
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String fid = json.getString("FID");
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if (StringUtils.isEmpty(fid)){
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for (Object r : list) {
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String fid = r.toString();
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if (StringUtils.isEmpty(fid)) {
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throw new RuntimeException("单据同步失败,没有找到FID");
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}
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ids.add(fid);
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@@ -84,14 +73,14 @@ public class SyncErpService {
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Map<String, String> error = new HashMap<>();
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for (String id : ids) {
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param.setId(id);
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OperatorResult view = cloudApi.view(syncFormMapping.getForm_type(), param);
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OperatorResult view = cloudApi.view("PRD_INSTOCK", param);
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RepoStatus status = view.getResult().getResponseStatus();
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if (!status.isIsSuccess()){
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if (status.isIsSuccess()) {
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result.add(view.getResult().getResult());
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}else {
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} else {
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ArrayList<RepoError> errors = status.getErrors();
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String errorMsg = errors.stream().map(RepoError::getMessage).collect(Collectors.joining(","));
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error.put(id,errorMsg);
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error.put(id, errorMsg);
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}
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}
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if (!CollectionUtils.isEmpty(error)){
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@@ -101,8 +90,10 @@ public class SyncErpService {
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ex.printStackTrace();
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throw new RuntimeException("同步失败:"+ex.getMessage());
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}
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log.info(result.toString());
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return result;
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}
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}
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@@ -8,9 +8,10 @@ import org.springframework.context.annotation.Configuration;
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@ConfigurationProperties(prefix = "kdapi")
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@Data
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public class ErpSec {
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private String AcctID;
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private String AppSec;
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private String UserName;
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private String appId;
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private String appSecret;
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private String userName;
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private String pwd;
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private String serverUrl;
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private String dCID;
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}
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@@ -415,7 +415,7 @@ public class CockpitServiceImpl implements CockpitService {
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private void getWeekWorkStatistics(List<TaskInfo> real_qty, List<Map<String, Object>> real_qty_default, Integer days) {
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for (int i = 0; i < days; i++) {
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for (int i = days - 1; i >= 0; i--) {
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Map<String, Object> item = new HashMap<>();
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item.put("total_qty", "0");
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item.put("date", today.minusDays(i).format(formatter));
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@@ -0,0 +1,163 @@
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server:
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port: 8099
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max-http-header-size: 65536
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#配置数据源
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spring:
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datasource:
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druid:
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db-type: com.alibaba.druid.pool.DruidDataSource
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driverClassName: com.mysql.cj.jdbc.Driver
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# url: jdbc:mysql://${DB_HOST:192.168.8.218}:${DB_PORT:3306}/${DB_NAME:wms}?serverTimezone=Asia/Shanghai&characterEncoding=utf8&useSSL=false&useOldAliasMetadataBehavior=true&allowPublicKeyRetrieval=true&useSSL=false
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url: jdbc:mysql://${DB_HOST:192.168.18.250}:${DB_PORT:3306}/${DB_NAME:wms}?serverTimezone=Asia/Shanghai&characterEncoding=utf8&useSSL=false&useOldAliasMetadataBehavior=true&allowPublicKeyRetrieval=true&useSSL=false
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username: ${DB_USER:root}
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password: ${DB_PWD:123456}
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# 初始连接数
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initial-size: 15
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# 最小连接数
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min-idle: 25
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# 最大连接数
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max-active: 40
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# 是否自动回收超时连接
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remove-abandoned: true
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# 超时时间(以秒数为单位)
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remove-abandoned-timeout: 20
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# 获取连接超时时间
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max-wait: 9000
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# 连接有效性检测时间
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time-between-eviction-runs-millis: 60000
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# 连接在池中最小生存的时间
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min-evictable-idle-time-millis: 300000
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# 连接在池中最大生存的时间
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max-evictable-idle-time-millis: 900000
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# 指明连接是否被空闲连接回收器(如果有)进行检验.如果检测失败,则连接将被从池中去除
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test-while-idle: true
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# 指明是否在从池中取出连接前进行检验,如果检验失败, 则从池中去除连接并尝试取出另一个
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test-on-borrow: true
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# 是否在归还到池中前进行检验
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test-on-return: false
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# 检测连接是否有效
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validation-query: select 1
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# 配置监控统计
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webStatFilter:
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enabled: true
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stat-view-servlet:
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enabled: true
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url-pattern: /druid/*
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reset-enable: false
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filters:
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DruidFilter,stat
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redis:
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#数据库索引
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database: ${REDIS_DB:1}
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#host: ${REDIS_HOST:127.0.0.1}
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host: ${REDIS_HOST:localhost}
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port: ${REDIS_PORT:6379}
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password: ${REDIS_PWD:}
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#连接超时时间
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timeout: 5000
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redisson:
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config: |
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threads: 4
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nettyThreads: 4
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singleServerConfig:
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connectionMinimumIdleSize: 8
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connectionPoolSize: 8
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address: redis://127.0.0.1:6379
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idleConnectionTimeout: 10000
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timeout: 3000
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# 登录相关配置
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login:
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# 登录缓存
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cache-enable: true
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# 是否限制单用户登录
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single-login: false
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# 验证码
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login-code:
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# 验证码类型配置 查看 LoginProperties 类
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code-type: arithmetic
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# 登录图形验证码有效时间/分钟
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expiration: 2
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# 验证码高度
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width: 111
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# 验证码宽度
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heigth: 36
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# 内容长度
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length: 2
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# 字体名称,为空则使用默认字体
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font-name:
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# 字体大小
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font-size: 25
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#jwt
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jwt:
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header: Authorization
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# 令牌前缀
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token-start-with: Bearer
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# 必须使用最少88位的Base64对该令牌进行编码
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base64-secret: ZmQ0ZGI5NjQ0MDQwY2I4MjMxY2Y3ZmI3MjdhN2ZmMjNhODViOTg1ZGE0NTBjMGM4NDA5NzYxMjdjOWMwYWRmZTBlZjlhNGY3ZTg4Y2U3YTE1ODVkZDU5Y2Y3OGYwZWE1NzUzNWQ2YjFjZDc0NGMxZWU2MmQ3MjY1NzJmNTE0MzI=
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# 令牌过期时间 此处单位/毫秒 ,默认4小时,可在此网站生成 https://www.convertworld.com/zh-hans/time/milliseconds.html
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token-validity-in-seconds: 14400000
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# 在线用户key
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online-key: online-token-
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# 验证码
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code-key: code-key-
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# token 续期检查时间范围(默认30分钟,单位毫秒),在token即将过期的一段时间内用户操作了,则给用户的token续期
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detect: 1800000
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# 续期时间范围,默认1小时,单位毫秒
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renew: 3600000
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#是否允许生成代码,生产环境设置为false
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generator:
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enabled: true
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# IP 本地解析
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ip:
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local-parsing: true
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# 文件存储路径
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file:
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mac:
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path: ~/file/
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avatar: ~/avatar/
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linux:
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path: /home/eladmin/file/
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avatar: /home/eladmin/avatar/
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windows:
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path: C:\eladmin\file\
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avatar: C:\eladmin\avatar\
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# 文件大小 /M
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maxSize: 100
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avatarMaxSize: 5
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sa-token:
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# token 名称 (同时也是cookie名称)
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token-name: Authorization
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# token 有效期,单位s 默认30天, -1代表永不过期
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timeout: 2592000
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# token 临时有效期 (指定时间内无操作就视为token过期) 单位: 秒
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activity-timeout: -1
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# 是否允许同一账号并发登录 (为true时允许一起登录, 为false时新登录挤掉旧登录)
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is-concurrent: true
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# 在多人登录同一账号时,是否共用一个token (为true时所有登录共用一个token, 为false时每次登录新建一个token)
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is-share: false
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# token风格
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token-style: random-128
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# 是否输出操作日志
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is-log: false
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jwt-secret-key: opsjajisdnnca0sdkksdfaaasdfwwq
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# token 前缀
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token-prefix:
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is-read-cookie: false
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is-print: false
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schedulerFile: /Users/mima0000/Desktop/scheduler.xml
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lucene:
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index:
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path: D:\lms\lucene\index
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kdapi:
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appId: 295539_RY4pS/CH0vl8TfUo652sR+1KULwdQNOG
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appSecret: 0d47d08ee5014643b91a764e121e0bcb
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userName: 管理员
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pwd: ty.87016362
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serverUrl: http://192.168.16.249/k3cloud/
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dCID: 65b078e7ea0ce6
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