From e421030adad76702e03e274e9e7505cced709c3f Mon Sep 17 00:00:00 2001 From: zlwu <704541015@qq.com> Date: Sun, 4 Jan 2026 10:00:08 +0800 Subject: [PATCH] =?UTF-8?q?=E6=8F=90=E4=BA=A4?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../controller/XgConductScoreController.java | 556 +++++++ .../org/dromara/xg/domain/XgConductScore.java | 53 + .../xg/domain/bo/XgConductScoreBatchBo.java | 43 + .../domain/bo/XgConductScoreBatchItemBo.java | 37 + .../xg/domain/bo/XgConductScoreBo.java | 82 + .../xg/domain/bo/XgConductScoreQueryBo.java | 105 ++ .../vo/XgConductScoreBatchResultVo.java | 32 + .../vo/XgConductScoreClassDetailVo.java | 73 + .../XgConductScoreClassStudentDetailVo.java | 47 + .../vo/XgConductScoreClassStudentVo.java | 73 + .../vo/XgConductScoreClassSummaryVo.java | 27 + .../xg/domain/vo/XgConductScoreClassVo.java | 78 + .../xg/domain/vo/XgConductScoreDetailVo.java | 53 + .../vo/XgConductScoreRecordDetailVo.java | 78 + .../vo/XgConductScoreSemesterAverageVo.java | 142 ++ .../vo/XgConductScoreStudentRecordsVo.java | 73 + .../xg/domain/vo/XgConductScoreSummaryVo.java | 42 + .../xg/domain/vo/XgConductScoreVo.java | 155 ++ .../xg/mapper/IXgConductScoreMapper.java | 149 ++ .../xg/service/IXgConductScoreService.java | 214 +++ ...XgClassTeacherCounselorRelServiceImpl.java | 98 ++ .../impl/XgConductScoreServiceImpl.java | 1103 ++++++++++++++ .../XgStudentManagerSourceServiceImpl.java | 7 +- .../service/impl/XgStudentMsgServiceImpl.java | 3 +- .../conductScore/XgConductScoreMapper.xml | 677 +++++++++ docs/业务模块/学生操行分管理/README.md | 636 ++++++++ .../学生操行分管理/前端设计/界面原型图.md | 413 ++++++ .../学生操行分管理/实现文档/关键业务逻辑.md | 778 ++++++++++ .../学生操行分管理/技术设计/API接口设计.md | 662 +++++++++ .../学生操行分管理/技术设计/数据库设计.md | 526 +++++++ .../学生操行分管理/需求分析/业务需求说明.md | 473 ++++++ docs/开发文档/API/学生操行分管理API.md | 563 +++++++ web/src/api/xg/conductScore.ts | 125 ++ .../xg/xsjcxx/ConductScoreInput/index.vue | 792 ++++++++++ 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.../05_validate_and_cleanup.cpython-312.pyc | Bin 0 -> 22564 bytes .../__pycache__/db_config.cpython-312.pyc | Bin 0 -> 1410 bytes ...port_conduct_score_history.cpython-312.pyc | Bin 0 -> 12399 bytes .../create_temp_tables.sql | 95 ++ 学校学生操行历史数据迁移/db_config.py | 59 + .../diagnose_environment.py | 114 ++ .../import_conduct_score_history.py | 284 ++++ 学校学生操行历史数据迁移/import_pid.txt | 1 + 学校学生操行历史数据迁移/import_pid_new.txt | 1 + 学校学生操行历史数据迁移/install_deps.sh | 56 + .../requirements-prod.txt | 5 + 学校学生操行历史数据迁移/requirements.txt | 5 + 学校学生操行历史数据迁移/run_parser.sh | 66 + 学校学生操行历史数据迁移/test_dependencies.py | 37 + 学校学生操行历史数据迁移/操行.xls | Bin 0 -> 13276672 bytes .../process_student_class_change_fixed.sh | 141 +- 学生换班级/test_herestring.sh | 20 + 学生换班级/test_loop.sh | 24 + 学生换班级/test_pipe.sh | 20 + 72 files changed, 17064 insertions(+), 35 deletions(-) create mode 100644 backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/controller/XgConductScoreController.java create mode 100644 backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/XgConductScore.java create mode 100644 backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/bo/XgConductScoreBatchBo.java create mode 100644 backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/bo/XgConductScoreBatchItemBo.java create mode 100644 backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/bo/XgConductScoreBo.java create mode 100644 backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/bo/XgConductScoreQueryBo.java create mode 100644 backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreBatchResultVo.java create mode 100644 backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassDetailVo.java create mode 100644 backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassStudentDetailVo.java create mode 100644 backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassStudentVo.java create mode 100644 backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassSummaryVo.java create mode 100644 backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassVo.java create mode 100644 backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreDetailVo.java create mode 100644 backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreRecordDetailVo.java create mode 100644 backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreSemesterAverageVo.java create mode 100644 backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreStudentRecordsVo.java create mode 100644 backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreSummaryVo.java create mode 100644 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web/src/views/xg/xsjcxx/ConductScoreInput/index.vue create mode 100644 web/src/views/xg/xsjcxx/ConductScoreQuery/index.vue create mode 100644 web/src/views/xg/xsjcxx/SemesterStatistics/index.vue create mode 100644 学校学生操行历史数据迁移/01_import_excel_to_temp.py create mode 100644 学校学生操行历史数据迁移/02_parse_score_data.py create mode 100644 学校学生操行历史数据迁移/02_parse_score_data_fixed.py create mode 100644 学校学生操行历史数据迁移/02_parse_score_data_py34_compatible.py create mode 100644 学校学生操行历史数据迁移/02_parse_score_data_py36.py create mode 100644 学校学生操行历史数据迁移/02_parse_score_data_py36_compatible.py create mode 100644 学校学生操行历史数据迁移/03_link_student_data.py create mode 100644 学校学生操行历史数据迁移/04_import_to_production.py create mode 100644 学校学生操行历史数据迁移/05_validate_and_cleanup.py create mode 100644 学校学生操行历史数据迁移/README-Python兼容性.md create mode 100644 学校学生操行历史数据迁移/README-生产环境部署.md create mode 100644 学校学生操行历史数据迁移/README.md create mode 100644 学校学生操行历史数据迁移/__pycache__/01_import_excel_to_temp.cpython-312.pyc create mode 100644 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100644 学校学生操行历史数据迁移/test_dependencies.py create mode 100644 学校学生操行历史数据迁移/操行.xls create mode 100755 学生换班级/test_herestring.sh create mode 100755 学生换班级/test_loop.sh create mode 100755 学生换班级/test_pipe.sh diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/controller/XgConductScoreController.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/controller/XgConductScoreController.java new file mode 100644 index 00000000..db245f5c --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/controller/XgConductScoreController.java @@ -0,0 +1,556 @@ +package org.dromara.xg.controller; + +import java.util.List; +import java.util.Map; +import java.util.HashMap; +import java.math.BigDecimal; +import jakarta.servlet.http.HttpServletResponse; +import jakarta.validation.constraints.*; +import cn.dev33.satoken.annotation.SaCheckPermission; +import org.springframework.web.bind.annotation.*; +import org.springframework.validation.annotation.Validated; +import org.dromara.common.idempotent.annotation.RepeatSubmit; +import org.dromara.common.log.annotation.Log; +import org.dromara.common.web.core.BaseController; +import org.dromara.common.mybatis.core.page.PageQuery; +import org.dromara.common.core.domain.R; +import org.dromara.common.log.enums.BusinessType; +import org.dromara.common.excel.utils.ExcelUtil; +import org.dromara.xg.domain.vo.XgConductScoreVo; +import org.dromara.xg.domain.bo.XgConductScoreBo; +import org.dromara.xg.domain.bo.XgConductScoreQueryBo; +import org.dromara.xg.domain.bo.XgConductScoreBatchBo; +import org.dromara.xg.domain.vo.XgConductScoreBatchResultVo; +import org.dromara.xg.domain.vo.XgConductScoreClassSummaryVo; +import org.dromara.xg.domain.vo.XgConductScoreSemesterAverageVo; +import org.dromara.xg.service.IXgConductScoreService; +import org.dromara.common.mybatis.core.page.TableDataInfo; +import lombok.RequiredArgsConstructor; +import lombok.extern.slf4j.Slf4j; + +/** + * 学生操行分 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Validated +@RequiredArgsConstructor +@Slf4j +@RestController +@RequestMapping("/xg/conduct-score") +public class XgConductScoreController extends BaseController { + + private final IXgConductScoreService xgConductScoreService; + + /** + * 获取班主任负责的班级学生列表（用于录入） + */ + // @SaCheckPermission("xg:conductScore:classStudents") + @GetMapping("/class-students") + public R classStudents( + @NotNull(message = "学年不能为空") Integer academicYear, + @NotNull(message = "学期不能为空") Integer semester, + @NotNull(message = "月份不能为空") Integer month) { + return R.ok(xgConductScoreService.getClassStudentsByTeacher(academicYear, semester, month)); + } + + /** + * 批量录入操行分 + */ + // @SaCheckPermission("xg:conductScore:batchAdd") + @RepeatSubmit() + @Log(title = "学生操行分", businessType = BusinessType.INSERT) + @PostMapping("/batch") + public R batchAdd(@Validated @RequestBody XgConductScoreBatchBo bo) { + return R.ok(xgConductScoreService.batchInsertConductScores(bo)); + } + + /** + * 查询学生操行分列表 + */ + // @SaCheckPermission("xg:conductScore:list") + @GetMapping("/list") + public TableDataInfo list(XgConductScoreQueryBo bo, PageQuery pageQuery) { + return xgConductScoreService.queryPageList(bo, pageQuery); + } + + /** + * 根据组织ID查询学生操行分列表 + */ + // @SaCheckPermission("xg:conductScore:list") + @PostMapping("/listByDeptId") + public TableDataInfo listByDeptId(@RequestBody Map requestBody, + PageQuery pageQuery) { + // 从请求体中解析排序参数 + if (requestBody.containsKey("orderByColumn")) { + pageQuery.setOrderByColumn((String) requestBody.get("orderByColumn")); + } + if (requestBody.containsKey("isAsc")) { + pageQuery.setIsAsc((String) requestBody.get("isAsc")); + } + + // 从请求体中解析查询条件和部门ID + XgConductScoreQueryBo bo = new XgConductScoreQueryBo(); + + // 设置基础查询条件 + if (requestBody.containsKey("academicYear") && requestBody.get("academicYear") != null + && !"".equals(requestBody.get("academicYear").toString())) { + bo.setAcademicYear(Integer.valueOf(requestBody.get("academicYear").toString())); + } + if (requestBody.containsKey("semester") && requestBody.get("semester") != null + && !"".equals(requestBody.get("semester").toString())) { + bo.setSemester(Integer.valueOf(requestBody.get("semester").toString())); + } + if (requestBody.containsKey("month") && requestBody.get("month") != null + && !"".equals(requestBody.get("month").toString())) { + bo.setMonth(Integer.valueOf(requestBody.get("month").toString())); + } + if (requestBody.containsKey("studentName")) { + bo.setStudentName((String) requestBody.get("studentName")); + } + if (requestBody.containsKey("studentNo")) { + bo.setStudentNo((String) requestBody.get("studentNo")); + } + if (requestBody.containsKey("scoreMin")) { + bo.setScoreMin(requestBody.get("scoreMin") != null + ? new java.math.BigDecimal(requestBody.get("scoreMin").toString()) + : null); + } + if (requestBody.containsKey("scoreMax")) { + bo.setScoreMax(requestBody.get("scoreMax") != null + ? new java.math.BigDecimal(requestBody.get("scoreMax").toString()) + : null); + } + if (requestBody.containsKey("className")) { + bo.setClassName((String) requestBody.get("className")); + } + if (requestBody.containsKey("collegeName")) { + bo.setCollegeName((String) requestBody.get("collegeName")); + } + if (requestBody.containsKey("majorName")) { + bo.setMajorName((String) requestBody.get("majorName")); + } + + // 设置时间范围查询条件 + Map params = bo.getParams(); + if (requestBody.containsKey("beginTime")) { + params.put("beginTime", requestBody.get("beginTime")); + } + if (requestBody.containsKey("endTime")) { + params.put("endTime", requestBody.get("endTime")); + } + + // 提取部门ID参数 + Map deptParams = new HashMap<>(); + // 支持多种参数名称：deptId（驼峰）和 dept_id（下划线） + Object deptIdValue = null; + if (requestBody.containsKey("deptId") && requestBody.get("deptId") != null) { + deptIdValue = requestBody.get("deptId"); + } else if (requestBody.containsKey("dept_id") && requestBody.get("dept_id") != null) { + deptIdValue = requestBody.get("dept_id"); + } + + // 如果请求体中显式包含 dept_id 且值为 null，则按需求返回空数据 + if (requestBody.containsKey("dept_id") && requestBody.get("dept_id") == null) { + log.info("listByDeptId - 请求中 dept_id 为 null，返回空分页数据"); + return TableDataInfo.build(new com.baomidou.mybatisplus.extension.plugins.pagination.Page<>()); + } + + if (deptIdValue != null) { + deptParams.put("dept_id", deptIdValue); + } + + return xgConductScoreService.queryPageListByDeptId(bo, deptParams, pageQuery); + } + + /** + * 导出学生操行分列表 + */ + // @SaCheckPermission("xg:conductScore:export") + @Log(title = "学生操行分", businessType = BusinessType.EXPORT) + @PostMapping("/export") + public void export(@RequestParam Map requestBody, HttpServletResponse response) { + // 从请求体中解析查询条件 + XgConductScoreQueryBo bo = new XgConductScoreQueryBo(); + + // 设置基础查询条件 + if (requestBody.containsKey("academicYear") && requestBody.get("academicYear") != null + && !"".equals(requestBody.get("academicYear").toString())) { + bo.setAcademicYear(Integer.valueOf(requestBody.get("academicYear").toString())); + } + if (requestBody.containsKey("semester") && requestBody.get("semester") != null + && !"".equals(requestBody.get("semester").toString())) { + bo.setSemester(Integer.valueOf(requestBody.get("semester").toString())); + } + if (requestBody.containsKey("month") && requestBody.get("month") != null + && !"".equals(requestBody.get("month").toString())) { + bo.setMonth(Integer.valueOf(requestBody.get("month").toString())); + } + if (requestBody.containsKey("studentName")) { + bo.setStudentName((String) requestBody.get("studentName")); + } + if (requestBody.containsKey("studentNo")) { + bo.setStudentNo((String) requestBody.get("studentNo")); + } + if (requestBody.containsKey("scoreMin")) { + bo.setScoreMin(requestBody.get("scoreMin") != null + ? new java.math.BigDecimal(requestBody.get("scoreMin").toString()) + : null); + } + if (requestBody.containsKey("scoreMax")) { + bo.setScoreMax(requestBody.get("scoreMax") != null + ? new java.math.BigDecimal(requestBody.get("scoreMax").toString()) + : null); + } + if (requestBody.containsKey("className")) { + bo.setClassName((String) requestBody.get("className")); + } + if (requestBody.containsKey("collegeName")) { + bo.setCollegeName((String) requestBody.get("collegeName")); + } + if (requestBody.containsKey("majorName")) { + bo.setMajorName((String) requestBody.get("majorName")); + } + + // 设置时间范围查询条件 + Map params = bo.getParams(); + if (requestBody.containsKey("beginTime")) { + params.put("beginTime", requestBody.get("beginTime")); + } + if (requestBody.containsKey("endTime")) { + params.put("endTime", requestBody.get("endTime")); + } + + // 提取部门ID参数 + Map deptParams = new HashMap<>(); + // 支持多种参数名称：deptId（驼峰）和 dept_id（下划线） + Object deptIdValue = null; + if (requestBody.containsKey("deptId") && requestBody.get("deptId") != null) { + deptIdValue = requestBody.get("deptId"); + } else if (requestBody.containsKey("dept_id") && requestBody.get("dept_id") != null) { + deptIdValue = requestBody.get("dept_id"); + } + + if (deptIdValue != null) { + deptParams.put("dept_id", deptIdValue); + } + + // 使用权限过滤的查询方法 + List list = xgConductScoreService.queryListByDeptId(bo, deptParams); + + // 如果需要包含评判结果，进行处理 + if (requestBody.containsKey("includeEvaluation") && + "true".equals(requestBody.get("includeEvaluation").toString())) { + for (XgConductScoreVo vo : list) { + if (vo.getScore() != null) { + vo.setEvaluationResult(calculateEvaluationResult(vo.getScore())); + } else { + vo.setEvaluationResult(""); + } + } + } + + ExcelUtil.exportExcel(list, "学生操行分", XgConductScoreVo.class, response); + } + + /** + * 计算评判结果 + */ + private String calculateEvaluationResult(BigDecimal score) { + if (score == null) { + return ""; + } + double scoreValue = score.doubleValue(); + if (scoreValue >= 85) { + return "优秀"; + } else if (scoreValue >= 75) { + return "良好"; + } else if (scoreValue >= 60) { + return "合格"; + } else { + return "不合格"; + } + } + + /** + * 查询学期平均分统计 + */ + // @SaCheckPermission("xg:conductScore:semesterAverage") + @GetMapping("/semester-average") + public TableDataInfo semesterAverage( + @NotNull(message = "学年不能为空") Integer academicYear, + @NotNull(message = "学期不能为空") Integer semester, + XgConductScoreQueryBo bo, PageQuery pageQuery) { + return xgConductScoreService.getSemesterAverage(academicYear, semester, bo, pageQuery); + } + + /** + * 根据部门ID查询学期平均分统计（带权限过滤） + */ + // @SaCheckPermission("xg:conductScore:semesterAverage") + @PostMapping("/semester-average-by-dept-id") + public TableDataInfo semesterAverageByDeptId( + @RequestBody Map requestBody) { + // 从请求体中解析分页参数 + PageQuery pageQuery = new PageQuery(); + if (requestBody.containsKey("pageNum") && requestBody.get("pageNum") != null) { + pageQuery.setPageNum(Integer.valueOf(requestBody.get("pageNum").toString())); + } else { + pageQuery.setPageNum(1); + } + if (requestBody.containsKey("pageSize") && requestBody.get("pageSize") != null) { + pageQuery.setPageSize(Integer.valueOf(requestBody.get("pageSize").toString())); + } else { + pageQuery.setPageSize(10); + } + + // 从请求体中解析查询条件和部门ID + XgConductScoreQueryBo bo = new XgConductScoreQueryBo(); + + // 设置基础查询条件 + if (requestBody.containsKey("academicYear") && requestBody.get("academicYear") != null + && !"".equals(requestBody.get("academicYear").toString())) { + bo.setAcademicYear(Integer.valueOf(requestBody.get("academicYear").toString())); + } + if (requestBody.containsKey("semester") && requestBody.get("semester") != null + && !"".equals(requestBody.get("semester").toString())) { + bo.setSemester(Integer.valueOf(requestBody.get("semester").toString())); + } + if (requestBody.containsKey("month") && requestBody.get("month") != null + && !"".equals(requestBody.get("month").toString())) { + bo.setMonth(Integer.valueOf(requestBody.get("month").toString())); + } + if (requestBody.containsKey("studentName")) { + bo.setStudentName((String) requestBody.get("studentName")); + } + if (requestBody.containsKey("studentNo")) { + bo.setStudentNo((String) requestBody.get("studentNo")); + } + if (requestBody.containsKey("collegeName")) { + bo.setCollegeName((String) requestBody.get("collegeName")); + } + if (requestBody.containsKey("majorName")) { + bo.setMajorName((String) requestBody.get("majorName")); + } + if (requestBody.containsKey("className")) { + bo.setClassName((String) requestBody.get("className")); + } + if (requestBody.containsKey("scoreMin")) { + bo.setScoreMin(requestBody.get("scoreMin") != null + ? new java.math.BigDecimal(requestBody.get("scoreMin").toString()) + : null); + } + if (requestBody.containsKey("scoreMax")) { + bo.setScoreMax(requestBody.get("scoreMax") != null + ? new java.math.BigDecimal(requestBody.get("scoreMax").toString()) + : null); + } + + // 解析学年和学期（必需参数，用于业务逻辑） + Integer academicYear = null; + Integer semester = null; + if (bo.getAcademicYear() != null) { + academicYear = bo.getAcademicYear(); + } else { + throw new IllegalArgumentException("学年不能为空"); + } + if (bo.getSemester() != null) { + semester = bo.getSemester(); + } else { + throw new IllegalArgumentException("学期不能为空"); + } + + // 设置时间范围查询条件 + Map params = bo.getParams(); + if (requestBody.containsKey("beginTime")) { + params.put("beginTime", requestBody.get("beginTime")); + } + if (requestBody.containsKey("endTime")) { + params.put("endTime", requestBody.get("endTime")); + } + + // 提取部门ID参数 + Map deptParams = new HashMap<>(); + // 支持多种参数名称：deptId（驼峰）和 dept_id（下划线） + Object deptIdValue = null; + if (requestBody.containsKey("deptId") && requestBody.get("deptId") != null) { + deptIdValue = requestBody.get("deptId"); + } else if (requestBody.containsKey("dept_id") && requestBody.get("dept_id") != null) { + deptIdValue = requestBody.get("dept_id"); + } + + // 如果请求体中显式包含 dept_id 且值为 null，则按需求返回空数据 + if (requestBody.containsKey("dept_id") && requestBody.get("dept_id") == null) { + log.info("semesterAverageByDeptId - 请求中 dept_id 为 null，返回空分页数据"); + return TableDataInfo.build(new com.baomidou.mybatisplus.extension.plugins.pagination.Page<>()); + } + + if (deptIdValue != null) { + deptParams.put("dept_id", deptIdValue); + } + + return xgConductScoreService.getSemesterAverageByDeptId(academicYear, semester, bo, deptParams, pageQuery); + } + + /** + * 导出学期平均分统计 + */ + // @SaCheckPermission("xg:conductScore:exportSemester") + @Log(title = "学期平均分统计", businessType = BusinessType.EXPORT) + @PostMapping("/export-semester") + public void exportSemester(@RequestParam Map requestBody, HttpServletResponse response) { + // 从请求体中解析查询条件 + XgConductScoreQueryBo bo = new XgConductScoreQueryBo(); + + // 设置基础查询条件 + if (requestBody.containsKey("academicYear") && requestBody.get("academicYear") != null + && !"".equals(requestBody.get("academicYear").toString())) { + bo.setAcademicYear(Integer.valueOf(requestBody.get("academicYear").toString())); + } + if (requestBody.containsKey("semester") && requestBody.get("semester") != null + && !"".equals(requestBody.get("semester").toString())) { + bo.setSemester(Integer.valueOf(requestBody.get("semester").toString())); + } + if (requestBody.containsKey("month") && requestBody.get("month") != null + && !"".equals(requestBody.get("month").toString())) { + bo.setMonth(Integer.valueOf(requestBody.get("month").toString())); + } + if (requestBody.containsKey("studentName")) { + bo.setStudentName((String) requestBody.get("studentName")); + } + if (requestBody.containsKey("studentNo")) { + bo.setStudentNo((String) requestBody.get("studentNo")); + } + if (requestBody.containsKey("collegeName")) { + bo.setCollegeName((String) requestBody.get("collegeName")); + } + if (requestBody.containsKey("majorName")) { + bo.setMajorName((String) requestBody.get("majorName")); + } + if (requestBody.containsKey("className")) { + bo.setClassName((String) requestBody.get("className")); + } + if (requestBody.containsKey("scoreMin")) { + bo.setScoreMin(requestBody.get("scoreMin") != null + ? new java.math.BigDecimal(requestBody.get("scoreMin").toString()) + : null); + } + if (requestBody.containsKey("scoreMax")) { + bo.setScoreMax(requestBody.get("scoreMax") != null + ? new java.math.BigDecimal(requestBody.get("scoreMax").toString()) + : null); + } + + // 解析学年和学期（必需参数，用于业务逻辑） + Integer academicYear = null; + Integer semester = null; + if (bo.getAcademicYear() != null) { + academicYear = bo.getAcademicYear(); + } else { + throw new IllegalArgumentException("学年不能为空"); + } + if (bo.getSemester() != null) { + semester = bo.getSemester(); + } else { + throw new IllegalArgumentException("学期不能为空"); + } + + // 设置时间范围查询条件 + Map params = bo.getParams(); + if (requestBody.containsKey("beginTime")) { + params.put("beginTime", requestBody.get("beginTime")); + } + if (requestBody.containsKey("endTime")) { + params.put("endTime", requestBody.get("endTime")); + } + + // 提取部门ID参数 + Map deptParams = new HashMap<>(); + // 支持多种参数名称：deptId（驼峰）和 dept_id（下划线） + Object deptIdValue = null; + if (requestBody.containsKey("deptId") && requestBody.get("deptId") != null) { + deptIdValue = requestBody.get("deptId"); + } else if (requestBody.containsKey("dept_id") && requestBody.get("dept_id") != null) { + deptIdValue = requestBody.get("dept_id"); + } + + if (deptIdValue != null) { + deptParams.put("dept_id", deptIdValue); + } + + // 使用权限过滤的查询方法获取所有数据（设置大分页以获取全部数据） + PageQuery pageQuery = new PageQuery(); + pageQuery.setPageNum(1); + pageQuery.setPageSize(999999); // 设置足够大的页面大小以获取所有数据 + + List list = xgConductScoreService + .getSemesterAverageByDeptId(academicYear, semester, bo, deptParams, pageQuery).getRows(); + + // 为每条数据计算评判结果 + for (XgConductScoreSemesterAverageVo vo : list) { + if (vo.getAvgScore() != null && vo.getRecordCount() != null && vo.getRecordCount() > 0) { + vo.setEvaluationResult(calculateEvaluationResult(vo.getAvgScore())); + } else { + vo.setEvaluationResult(""); + } + } + + ExcelUtil.exportExcel(list, "学期平均分统计", XgConductScoreSemesterAverageVo.class, response); + } + + /** + * 获取单个学生操行分记录详情 + */ + // @SaCheckPermission("xg:conductScore:studentRecords") + @GetMapping("/student-records/{studentId}") + public R getStudentRecords( + @NotNull(message = "学生ID不能为空") @PathVariable Long studentId, + Integer academicYear, Integer semester, String tenantId) { + return R.ok(xgConductScoreService.getStudentRecords(studentId, academicYear, semester, tenantId)); + } + + /** + * 获取班级详细统计数据 + */ + // @SaCheckPermission("xg:conductScore:classDetail") + @GetMapping("/class-detail/{classId}") + public R getClassDetail( + @NotNull(message = "班级ID不能为空") @PathVariable Long classId, + @NotNull(message = "学年不能为空") Integer academicYear, + @NotNull(message = "学期不能为空") Integer semester) { + return R.ok(xgConductScoreService.getClassDetailStatistics(classId, academicYear, semester)); + } + + /** + * 修改单个操行分记录 + */ + // @SaCheckPermission("xg:conductScore:update") + @RepeatSubmit() + @Log(title = "学生操行分", businessType = BusinessType.UPDATE) + @PutMapping("/{id}") + public R updateRecord(@NotNull(message = "记录ID不能为空") @PathVariable Long id, + @Validated @RequestBody XgConductScoreBo bo) { + return toAjax(xgConductScoreService.updateRecordById(id, bo)); + } + + /** + * 删除学生操行分 + */ + // @SaCheckPermission("xg:conductScore:remove") + @Log(title = "学生操行分", businessType = BusinessType.DELETE) + @DeleteMapping("/{ids}") + public R remove(@NotEmpty(message = "主键不能为空") @PathVariable Long[] ids) { + return toAjax(xgConductScoreService.deleteWithValidByIds(List.of(ids), true)); + } + + /** + * 验证录入权限 + */ + // @SaCheckPermission("xg:conductScore:checkPermission") + @GetMapping("/check-permission") + public R checkPermission() { + return R.ok(xgConductScoreService.checkInputPermission()); + } + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/XgConductScore.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/XgConductScore.java new file mode 100644 index 00000000..da376687 --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/XgConductScore.java @@ -0,0 +1,53 @@ +package org.dromara.xg.domain; + +import lombok.Data; +import lombok.EqualsAndHashCode; +import org.dromara.common.mybatis.core.domain.BaseEntity; +import java.math.BigDecimal; + +/** + * 学生操行分对象 xg_conduct_score + * + * @author Lion Li + * @date 2025-01-13 + */ +@Data +@EqualsAndHashCode(callSuper = true) +public class XgConductScore extends BaseEntity { + + private static final long serialVersionUID = 1L; + + /** ID */ + private Long id; + + /** 租户ID */ + private String tenantId; + + /** 学年 */ + private Integer academicYear; + + /** 学期 */ + private Integer semester; + + /** 月份 */ + private Integer month; + + /** 学生ID */ + private Long studentId; + + /** 班级ID */ + private Long classId; + + /** 班主任ID */ + private Long classTeacherId; + + /** 分数 */ + private BigDecimal score; + + /** 备注 */ + private String remark; + + /** 删除标志 */ + private Integer deleted; + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/bo/XgConductScoreBatchBo.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/bo/XgConductScoreBatchBo.java new file mode 100644 index 00000000..9f6ce079 --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/bo/XgConductScoreBatchBo.java @@ -0,0 +1,43 @@ +package org.dromara.xg.domain.bo; + +import lombok.Data; +import java.math.BigDecimal; +import java.util.List; + +/** + * 学生操行分批量录入业务对象 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Data +public class XgConductScoreBatchBo { + + private static final long serialVersionUID = 1L; + + /** + * 学年 + */ + private Integer academicYear; + + /** + * 学期 + */ + private Integer semester; + + /** + * 月份 + */ + private Integer month; + + /** + * 班级ID（前端传递字符串避免精度问题） + */ + private String classId; + + /** + * 录入分数列表 + */ + private List scores; + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/bo/XgConductScoreBatchItemBo.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/bo/XgConductScoreBatchItemBo.java new file mode 100644 index 00000000..fb808d90 --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/bo/XgConductScoreBatchItemBo.java @@ -0,0 +1,37 @@ +package org.dromara.xg.domain.bo; + +import lombok.Data; +import jakarta.validation.constraints.*; +import java.math.BigDecimal; + +/** + * 学生操行分批量录入项业务对象 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Data +public class XgConductScoreBatchItemBo { + + private static final long serialVersionUID = 1L; + + /** + * 学生ID + */ + @NotNull(message = "学生ID不能为空") + private Long studentId; + + /** + * 分数 + */ + @NotNull(message = "分数不能为空") + @DecimalMin(value = "0", message = "分数不能小于0") + @DecimalMax(value = "100", message = "分数不能大于100") + private BigDecimal score; + + /** + * 备注 + */ + private String remark; + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/bo/XgConductScoreBo.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/bo/XgConductScoreBo.java new file mode 100644 index 00000000..bad667a8 --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/bo/XgConductScoreBo.java @@ -0,0 +1,82 @@ +package org.dromara.xg.domain.bo; + +import lombok.Data; +import lombok.EqualsAndHashCode; +import org.dromara.common.core.validate.AddGroup; +import org.dromara.common.core.validate.EditGroup; +import org.dromara.common.mybatis.core.domain.BaseEntity; +import jakarta.validation.constraints.*; +import java.math.BigDecimal; + +/** + * 学生操行分业务对象 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Data +@EqualsAndHashCode(callSuper = true) +public class XgConductScoreBo extends BaseEntity { + + private static final long serialVersionUID = 1L; + + /** + * ID + */ + @NotNull(message = "ID不能为空", groups = { EditGroup.class }) + private Long id; + + /** + * 租户ID + */ + private String tenantId; + + /** + * 学年 + */ + @NotNull(message = "学年不能为空", groups = { AddGroup.class, EditGroup.class }) + private Integer academicYear; + + /** + * 学期 + */ + @NotNull(message = "学期不能为空", groups = { AddGroup.class, EditGroup.class }) + private Integer semester; + + /** + * 月份 + */ + @NotNull(message = "月份不能为空", groups = { AddGroup.class, EditGroup.class }) + private Integer month; + + /** + * 学生ID + */ + @NotNull(message = "学生ID不能为空", groups = { AddGroup.class, EditGroup.class }) + private Long studentId; + + /** + * 班级ID + */ + @NotNull(message = "班级ID不能为空", groups = { AddGroup.class, EditGroup.class }) + private Long classId; + + /** + * 班主任ID + */ + private Long classTeacherId; + + /** + * 分数 + */ + @NotNull(message = "分数不能为空", groups = { AddGroup.class, EditGroup.class }) + @DecimalMin(value = "0", message = "分数不能小于0", groups = { AddGroup.class, EditGroup.class }) + @DecimalMax(value = "100", message = "分数不能大于100", groups = { AddGroup.class, EditGroup.class }) + private BigDecimal score; + + /** + * 备注 + */ + private String remark; + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/bo/XgConductScoreQueryBo.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/bo/XgConductScoreQueryBo.java new file mode 100644 index 00000000..fd4258a6 --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/bo/XgConductScoreQueryBo.java @@ -0,0 +1,105 @@ +package org.dromara.xg.domain.bo; + +import lombok.Data; +import lombok.EqualsAndHashCode; +import org.dromara.common.mybatis.core.domain.BaseEntity; +import java.math.BigDecimal; + +/** + * 学生操行分查询业务对象 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Data +@EqualsAndHashCode(callSuper = true) +public class XgConductScoreQueryBo extends BaseEntity { + + private static final long serialVersionUID = 1L; + + /** + * 租户ID + */ + private String tenantId; + + /** + * 学年 + */ + private Integer academicYear; + + /** + * 学期 + */ + private Integer semester; + + /** + * 月份 + */ + private Integer month; + + /** + * 学生ID + */ + private Long studentId; + + /** + * 学生姓名 + */ + private String studentName; + + /** + * 学号 + */ + private String studentNo; + + /** + * 班级ID + */ + private Long classId; + + /** + * 班级名称 + */ + private String className; + + /** + * 学院名称 + */ + private String collegeName; + + /** + * 专业名称 + */ + private String majorName; + + /** + * 班主任ID + */ + private Long classTeacherId; + + /** + * 最低分数 + */ + private BigDecimal scoreMin; + + /** + * 最高分数 + */ + private BigDecimal scoreMax; + + /** + * 备注 + */ + private String remark; + + /** + * 开始时间 + */ + private String beginTime; + + /** + * 结束时间 + */ + private String endTime; + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreBatchResultVo.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreBatchResultVo.java new file mode 100644 index 00000000..92a0a675 --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreBatchResultVo.java @@ -0,0 +1,32 @@ +package org.dromara.xg.domain.vo; + +import lombok.Data; +import java.util.List; + +/** + * 操行分批量录入结果视图对象 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Data +public class XgConductScoreBatchResultVo { + + private static final long serialVersionUID = 1L; + + /** + * 成功录入数量 + */ + private Integer successCount; + + /** + * 失败录入数量 + */ + private Integer failCount; + + /** + * 失败详情列表 + */ + private List failList; + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassDetailVo.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassDetailVo.java new file mode 100644 index 00000000..c2131bc9 --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassDetailVo.java @@ -0,0 +1,73 @@ +package org.dromara.xg.domain.vo; + +import lombok.Data; +import java.math.BigDecimal; +import java.util.List; + +/** + * 班级操行分详细统计视图对象 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Data +public class XgConductScoreClassDetailVo { + + private static final long serialVersionUID = 1L; + + /** + * 班级ID + */ + private Long classId; + + /** + * 班级名称 + */ + private String className; + + /** + * 学年 + */ + private Integer academicYear; + + /** + * 学期 + */ + private Integer semester; + + /** + * 总学生数 + */ + private Integer totalStudents; + + /** + * 已录入学生数 + */ + private Integer recordedStudents; + + /** + * 录入率 + */ + private BigDecimal recordRate; + + /** + * 班级平均分 + */ + private BigDecimal classAverage; + + /** + * 最高分 + */ + private BigDecimal maxScore; + + /** + * 最低分 + */ + private BigDecimal minScore; + + /** + * 学生详细列表 + */ + private List students; + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassStudentDetailVo.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassStudentDetailVo.java new file mode 100644 index 00000000..a6a19037 --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassStudentDetailVo.java @@ -0,0 +1,47 @@ +package org.dromara.xg.domain.vo; + +import lombok.Data; +import java.math.BigDecimal; + +/** + * 班级学生操行分详细视图对象 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Data +public class XgConductScoreClassStudentDetailVo { + + private static final long serialVersionUID = 1L; + + /** + * 学生ID + */ + private Long studentId; + + /** + * 学号 + */ + private String studentNo; + + /** + * 学生姓名 + */ + private String studentName; + + /** + * 性别 + */ + private String gender; + + /** + * 平均分 + */ + private BigDecimal avgScore; + + /** + * 录入次数 + */ + private Integer recordCount; + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassStudentVo.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassStudentVo.java new file mode 100644 index 00000000..d4104dfe --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassStudentVo.java @@ -0,0 +1,73 @@ +package org.dromara.xg.domain.vo; + +import lombok.Data; +import java.math.BigDecimal; +import java.util.Date; + +/** + * 班级学生视图对象 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Data +public class XgConductScoreClassStudentVo { + + private static final long serialVersionUID = 1L; + + /** + * 学生ID + */ + private Long studentId; + + /** + * 学号 + */ + private String studentNo; + + /** + * 学生姓名 + */ + private String studentName; + + /** + * 性别 + */ + private String gender; + + /** + * 上月分数 + */ + private BigDecimal lastScore; + + /** + * 上月月份 + */ + private Integer lastMonth; + + /** + * 现有分数 + */ + private XgConductScoreDetailVo existingScore; + + /** + * 创建者 + */ + private Long createBy; + + /** + * 创建时间 + */ + private Date createTime; + + /** + * 更新者 + */ + private Long updateBy; + + /** + * 更新时间 + */ + private Date updateTime; + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassSummaryVo.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassSummaryVo.java new file mode 100644 index 00000000..07307e96 --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassSummaryVo.java @@ -0,0 +1,27 @@ +package org.dromara.xg.domain.vo; + +import lombok.Data; +import java.util.List; + +/** + * 操行分班级汇总视图对象 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Data +public class XgConductScoreClassSummaryVo { + + private static final long serialVersionUID = 1L; + + /** + * 班级列表 + */ + private List classes; + + /** + * 汇总统计 + */ + private XgConductScoreSummaryVo summary; + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassVo.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassVo.java new file mode 100644 index 00000000..9acf259c --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreClassVo.java @@ -0,0 +1,78 @@ +package org.dromara.xg.domain.vo; + +import lombok.Data; +import java.util.Date; +import java.util.List; + +/** + * 班主任班级视图对象 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Data +public class XgConductScoreClassVo { + + private static final long serialVersionUID = 1L; + + /** + * 班级ID + */ + private Long classId; + + /** + * 班级名称 + */ + private String className; + + /** + * 班级代码 + */ + private String classCode; + + /** + * 学生人数 + */ + private Integer studentCount; + + /** + * 入学年份 + */ + private Integer enrollmentYear; + + /** + * 年级 + */ + private String grade; + + /** + * 专业名称 + */ + private String majorName; + + /** + * 学生列表 + */ + private List students; + + /** + * 创建者 + */ + private Long createBy; + + /** + * 创建时间 + */ + private Date createTime; + + /** + * 更新者 + */ + private Long updateBy; + + /** + * 更新时间 + */ + private Date updateTime; + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreDetailVo.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreDetailVo.java new file mode 100644 index 00000000..f6f610d7 --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreDetailVo.java @@ -0,0 +1,53 @@ +package org.dromara.xg.domain.vo; + +import lombok.Data; +import java.math.BigDecimal; +import java.util.Date; + +/** + * 操行分详情视图对象 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Data +public class XgConductScoreDetailVo { + + private static final long serialVersionUID = 1L; + + /** + * ID + */ + private Long id; + + /** + * 分数 + */ + private BigDecimal score; + + /** + * 备注 + */ + private String remark; + + /** + * 创建时间 + */ + private Date createTime; + + /** + * 创建者 + */ + private Long createBy; + + /** + * 更新者 + */ + private Long updateBy; + + /** + * 更新时间 + */ + private Date updateTime; + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreRecordDetailVo.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreRecordDetailVo.java new file mode 100644 index 00000000..07e5e4ec --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreRecordDetailVo.java @@ -0,0 +1,78 @@ +package org.dromara.xg.domain.vo; + +import lombok.Data; +import java.math.BigDecimal; +import java.util.Date; + +/** + * 操行分记录详情视图对象 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Data +public class XgConductScoreRecordDetailVo { + + private static final long serialVersionUID = 1L; + + /** + * ID + */ + private Long id; + + /** + * 学年 + */ + private Integer academicYear; + + /** + * 学期 + */ + private Integer semester; + + /** + * 月份 + */ + private Integer month; + + /** + * 分数 + */ + private BigDecimal score; + + /** + * 备注 + */ + private String remark; + + /** + * 创建者 + */ + private Long createBy; + + /** + * 创建者姓名 + */ + private String createByName; + + /** + * 创建时间 + */ + private Date createTime; + + /** + * 更新者 + */ + private Long updateBy; + + /** + * 更新者姓名 + */ + private String updateByName; + + /** + * 更新时间 + */ + private Date updateTime; + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreSemesterAverageVo.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreSemesterAverageVo.java new file mode 100644 index 00000000..4ec6a3a6 --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreSemesterAverageVo.java @@ -0,0 +1,142 @@ +package org.dromara.xg.domain.vo; + +import lombok.Data; +import java.math.BigDecimal; +import java.util.Date; +import com.fasterxml.jackson.annotation.JsonFormat; +import cn.idev.excel.annotation.ExcelIgnoreUnannotated; +import cn.idev.excel.annotation.ExcelProperty; +import org.dromara.common.excel.annotation.ExcelDictFormat; + +/** + * 操行分学期平均分视图对象 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Data +@ExcelIgnoreUnannotated +public class XgConductScoreSemesterAverageVo { + + private static final long serialVersionUID = 1L; + + /** + * 学生ID + */ + private Long studentId; + + /** + * 学号 + */ + @ExcelProperty(value = "学号") + private String studentNo; + + /** + * 学生姓名 + */ + @ExcelProperty(value = "学生姓名") + private String studentName; + + /** + * 性别 + */ + @ExcelProperty(value = "性别", converter = org.dromara.common.excel.convert.ExcelDictConvert.class) + @ExcelDictFormat(readConverterExp = "0=男,1=女") + private String gender; + + /** + * 班级ID + */ + private Long classId; + + /** + * 学院名称 + */ + @ExcelProperty(value = "学院") + private String collegeName; + + /** + * 专业名称 + */ + @ExcelProperty(value = "专业") + private String majorName; + + /** + * 班级名称 + */ + @ExcelProperty(value = "班级") + private String className; + + /** + * 学年 + */ + private Integer academicYear; + + /** + * 学期 + */ + @ExcelProperty(value = "学期", converter = org.dromara.common.excel.convert.ExcelDictConvert.class) + @ExcelDictFormat(readConverterExp = "1=第一学期,2=第二学期") + private Integer semester; + + /** + * 学期平均分 + */ + @ExcelProperty(value = "学期平均分") + private BigDecimal avgScore; + + /** + * 评判结果 + */ + @ExcelProperty(value = "评判结果") + private String evaluationResult; + + /** + * 录入月份数 + */ + @ExcelProperty(value = "录入月份") + private Integer recordCount; + + /** + * 最高分 + */ + @ExcelProperty(value = "最高分") + private BigDecimal maxScore; + + /** + * 最低分 + */ + @ExcelProperty(value = "最低分") + private BigDecimal minScore; + + /** + * 分数范围 + */ + private String scoreRange; + + /** + * 最后更新时间 + */ + private Date lastUpdateTime; + + /** + * 创建者 + */ + private Long createBy; + + /** + * 创建时间 + */ + private Date createTime; + + /** + * 更新者 + */ + private Long updateBy; + + /** + * 更新时间 + */ + private Date updateTime; + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreStudentRecordsVo.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreStudentRecordsVo.java new file mode 100644 index 00000000..01760035 --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreStudentRecordsVo.java @@ -0,0 +1,73 @@ +package org.dromara.xg.domain.vo; + +import lombok.Data; +import java.math.BigDecimal; +import java.util.List; + +/** + * 学生操行分记录详情视图对象 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Data +public class XgConductScoreStudentRecordsVo { + + private static final long serialVersionUID = 1L; + + /** + * 学生ID + */ + private Long studentId; + + /** + * 学号 + */ + private String studentNo; + + /** + * 学生姓名 + */ + private String studentName; + + /** + * 性别 + */ + private String gender; + + /** + * 班级ID + */ + private Long classId; + + /** + * 班级名称 + */ + private String className; + + /** + * 班主任ID + */ + private Long classTeacherId; + + /** + * 班主任姓名 + */ + private String classTeacherName; + + /** + * 学期平均分 + */ + private BigDecimal semesterAverage; + + /** + * 总记录数 + */ + private Integer totalRecords; + + /** + * 详细记录列表 + */ + private List records; + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreSummaryVo.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreSummaryVo.java new file mode 100644 index 00000000..9b5270db --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreSummaryVo.java @@ -0,0 +1,42 @@ +package org.dromara.xg.domain.vo; + +import lombok.Data; +import java.math.BigDecimal; + +/** + * 操行分汇总统计视图对象 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Data +public class XgConductScoreSummaryVo { + + private static final long serialVersionUID = 1L; + + /** + * 总班级数 + */ + private Integer totalClasses; + + /** + * 总学生数 + */ + private Integer totalStudents; + + /** + * 已录入学生数 + */ + private Integer recordedStudents; + + /** + * 待录入学生数 + */ + private Integer pendingStudents; + + /** + * 完成度 + */ + private BigDecimal completionRate; + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreVo.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreVo.java new file mode 100644 index 00000000..ecdc2ba7 --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/domain/vo/XgConductScoreVo.java @@ -0,0 +1,155 @@ +package org.dromara.xg.domain.vo; + +import lombok.Data; +import java.math.BigDecimal; +import java.util.Date; +import java.io.Serial; +import java.io.Serializable; +import com.fasterxml.jackson.annotation.JsonFormat; +import cn.idev.excel.annotation.ExcelIgnoreUnannotated; +import org.dromara.xg.domain.XgConductScore; +import io.github.linpeilie.annotations.AutoMapper; + +/** + * 学生操行分视图对象 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Data +@ExcelIgnoreUnannotated +@AutoMapper(target = XgConductScore.class) +public class XgConductScoreVo implements Serializable { + + @Serial + private static final long serialVersionUID = 1L; + + /** + * ID + */ + @cn.idev.excel.annotation.ExcelProperty(value = "记录ID") + private Long id; + + /** + * 租户ID + */ + private String tenantId; + + /** + * 学年 + */ + @cn.idev.excel.annotation.ExcelProperty(value = "学年") + private Integer academicYear; + + /** + * 学期 + */ + @cn.idev.excel.annotation.ExcelProperty(value = "学期", converter = org.dromara.common.excel.convert.ExcelDictConvert.class) + @org.dromara.common.excel.annotation.ExcelDictFormat(readConverterExp = "1=第一学期,2=第二学期") + private Integer semester; + + /** + * 月份 + */ + @cn.idev.excel.annotation.ExcelProperty(value = "月份", converter = org.dromara.common.excel.convert.ExcelDictConvert.class) + @org.dromara.common.excel.annotation.ExcelDictFormat(readConverterExp = "1=1月,2=2月,3=3月,4=4月,5=5月,6=6月,7=7月,8=8月,9=9月,10=10月,11=11月,12=12月") + private Integer month; + + /** + * 学生ID + */ + private Long studentId; + + /** + * 学生姓名 + */ + @cn.idev.excel.annotation.ExcelProperty(value = "学生姓名") + private String studentName; + + /** + * 学号 + */ + @cn.idev.excel.annotation.ExcelProperty(value = "学号") + private String studentNo; + + /** + * 班级ID + */ + private Long classId; + + /** + * 班级名称 + */ + @cn.idev.excel.annotation.ExcelProperty(value = "班级名称") + private String className; + + /** + * 学院名称 + */ + @cn.idev.excel.annotation.ExcelProperty(value = "学院名称") + private String collegeName; + + /** + * 专业名称 + */ + @cn.idev.excel.annotation.ExcelProperty(value = "专业名称") + private String majorName; + + /** + * 班主任ID + */ + private Long classTeacherId; + + /** + * 班主任姓名 + */ + private String classTeacherName; + + /** + * 分数 + */ + @cn.idev.excel.annotation.ExcelProperty(value = "分数") + private BigDecimal score; + + /** + * 备注 + */ + @cn.idev.excel.annotation.ExcelProperty(value = "备注") + private String remark; + + /** + * 评判结果 + */ + @cn.idev.excel.annotation.ExcelProperty(value = "评判结果") + private String evaluationResult; + + /** + * 创建时间 + */ + @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") + @cn.idev.excel.annotation.ExcelProperty(value = "录入时间") + private Date createTime; + + /** + * 创建者 + */ + private Long createBy; + + /** + * 创建者姓名 + */ + @cn.idev.excel.annotation.ExcelProperty(value = "录入人") + private String createByName; + + /** + * 更新者 + */ + private Long updateBy; + + /** + * 更新时间 + */ + @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") + private Date updateTime; + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/mapper/IXgConductScoreMapper.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/mapper/IXgConductScoreMapper.java new file mode 100644 index 00000000..8c214d03 --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/mapper/IXgConductScoreMapper.java @@ -0,0 +1,149 @@ +package org.dromara.xg.mapper; + +import org.dromara.xg.domain.XgConductScore; +import org.dromara.xg.domain.bo.XgConductScoreQueryBo; +import org.dromara.xg.domain.vo.XgConductScoreVo; +import org.dromara.xg.domain.vo.XgConductScoreSemesterAverageVo; +import org.dromara.xg.domain.vo.XgConductScoreStudentRecordsVo; +import org.dromara.xg.domain.vo.XgConductScoreClassDetailVo; +import com.baomidou.mybatisplus.core.conditions.Wrapper; +import com.baomidou.mybatisplus.core.metadata.IPage; +import com.baomidou.mybatisplus.core.toolkit.Constants; +import org.apache.ibatis.annotations.Param; +import org.dromara.common.mybatis.core.mapper.BaseMapperPlus; + +import java.util.List; +import java.util.Map; + +/** + * 学生操行分Mapper接口 + * + * @author Lion Li + * @date 2025-01-13 + */ +public interface IXgConductScoreMapper extends BaseMapperPlus { + + /** + * 查询学生操行分列表（包含关联数据） + * + * @param queryBo 查询条件 + * @return 学生操行分列表 + */ + List selectXgConductScoreList(XgConductScoreQueryBo queryBo); + + /** + * 根据部门ID列表分页查询学生操行分列表 + * + * @param pageQuery 分页参数 + * @param bo 查询条件BO + * @param classIdList 班级ID列表 + * @return 分页结果 + */ + com.baomidou.mybatisplus.core.metadata.IPage selectPageByDeptIds( + @Param("page") com.baomidou.mybatisplus.core.metadata.IPage pageQuery, + @Param("bo") org.dromara.xg.domain.bo.XgConductScoreQueryBo bo, + @Param("classIdList") java.util.List classIdList); + + /** + * 根据部门ID查询学生操行分列表（用于导出） + * + * @param bo 查询条件 + * @param classIdList 班级ID列表 + * @return 学生操行分列表 + */ + java.util.List selectListByDeptIds( + @Param("bo") org.dromara.xg.domain.bo.XgConductScoreQueryBo bo, + @Param("classIdList") java.util.List classIdList); + + /** + * 查询班主任负责的班级学生列表 + * + * @param teacherId 班主任ID + * @param academicYear 学年 + * @param semester 学期 + * @param month 月份 + * @return 学生列表 + */ + List> selectClassStudentsByTeacher(Long teacherId, Integer academicYear, Integer semester, + Integer month); + + /** + * 查询学期平均分统计列表 + * + * @param queryBo 查询条件 + * @return 统计列表 + */ + List selectSemesterAverageList(Object queryBo); + + /** + * 根据班级ID列表查询学期平均分统计（支持权限过滤，显示所有学生） + * + * @param queryBo 查询条件 + * @param classIdList 班级ID列表 + * @return 学期平均分统计列表 + */ + List selectSemesterAverageListByDeptIds(@Param("queryBo") Object queryBo, @Param("classIdList") List classIdList); + + /** + * 检查班主任班级权限 + * + * @param teacherId 班主任ID + * @param classId 班级ID + * @return 是否有权限 + */ + boolean checkTeacherClass(Long teacherId, Long classId); + + /** + * 检查学生当月是否已存在记录 + * + * @param studentId 学生ID + * @param academicYear 学年 + * @param semester 学期 + * @param month 月份 + * @param tenantId 租户ID + * @return 是否存在 + */ + boolean existsByStudentAndMonth(@org.apache.ibatis.annotations.Param("studentId") Long studentId, + @org.apache.ibatis.annotations.Param("academicYear") Integer academicYear, + @org.apache.ibatis.annotations.Param("semester") Integer semester, + @org.apache.ibatis.annotations.Param("month") Integer month, + @org.apache.ibatis.annotations.Param("tenantId") String tenantId); + + /** + * 批量插入操行分记录 + * + * @param conductScoreList 记录列表 + * @return 影响行数 + */ + int insertBatch(List conductScoreList); + + /** + * 查询班主任负责的班级ID列表 + * + * @param teacherId 班主任ID + * @return 班级ID列表 + */ + List selectTeacherClassIds(Long teacherId); + + /** + * 查询单个学生的详细记录 + * + * @param studentId 学生ID + * @param academicYear 学年（可选） + * @param semester 学期（可选） + * @param tenantId 租户ID + * @return 学生详细记录列表（包含学生信息和所有记录） + */ + java.util.List> selectStudentRecordsRaw(Long studentId, Integer academicYear, Integer semester, String tenantId); + + /** + * 获取班级详细统计数据 + * + * @param classId 班级ID + * @param academicYear 学年 + * @param semester 学期 + * @return 班级详细统计 + */ + XgConductScoreClassDetailVo selectClassDetailStatistics(Long classId, Integer academicYear, Integer semester); + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/IXgConductScoreService.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/IXgConductScoreService.java new file mode 100644 index 00000000..1eb907de --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/IXgConductScoreService.java @@ -0,0 +1,214 @@ +package org.dromara.xg.service; + +import org.dromara.xg.domain.vo.XgConductScoreVo; +import org.dromara.xg.domain.bo.XgConductScoreBo; +import org.dromara.xg.domain.bo.XgConductScoreQueryBo; +import org.dromara.xg.domain.bo.XgConductScoreBatchBo; +import org.dromara.xg.domain.vo.XgConductScoreBatchResultVo; +import org.dromara.xg.domain.vo.XgConductScoreClassSummaryVo; +import org.dromara.xg.domain.vo.XgConductScoreSemesterAverageVo; +import org.dromara.xg.domain.vo.XgConductScoreStudentRecordsVo; +import org.dromara.xg.domain.vo.XgConductScoreClassDetailVo; +import org.dromara.common.mybatis.core.page.TableDataInfo; +import org.dromara.common.mybatis.core.page.PageQuery; + +import java.util.Collection; +import java.util.List; + +/** + * 学生操行分Service接口 + * + * @author Lion Li + * @date 2025-01-13 + */ +public interface IXgConductScoreService { + + /** + * 查询学生操行分 + * + * @param id 主键 + * @return 学生操行分 + */ + XgConductScoreVo queryById(Long id); + + /** + * 分页查询学生操行分列表 + * + * @param bo 查询条件 + * @param pageQuery 分页参数 + * @return 学生操行分页列表 + */ + TableDataInfo queryPageList(XgConductScoreQueryBo bo, PageQuery pageQuery); + + /** + * 根据组织ID分页查询学生操行分列表（带权限过滤） + * + * @param bo 查询条件 + * @param params 包含dept_id的参数Map + * @param pageQuery 分页参数 + * @return 学生操行分页列表 + */ + TableDataInfo queryPageListByDeptId(XgConductScoreQueryBo bo, + java.util.Map params, PageQuery pageQuery); + + /** + * 查询符合条件的学生操行分列表 + * + * @param bo 查询条件 + * @return 学生操行分列表 + */ + List queryList(XgConductScoreQueryBo bo); + + /** + * 根据部门ID查询学生操行分列表（支持权限过滤） + * + * @param bo 查询条件 + * @param params 部门参数 + * @return 学生操行分列表 + */ + List queryListByDeptId(XgConductScoreQueryBo bo, java.util.Map params); + + /** + * 新增学生操行分 + * + * @param bo 学生操行分 + * @return 结果 + */ + Boolean insertByBo(XgConductScoreBo bo); + + /** + * 修改学生操行分 + * + * @param bo 学生操行分 + * @return 结果 + */ + Boolean updateByBo(XgConductScoreBo bo); + + /** + * 校验并批量删除学生操行分信息 + * + * @param ids 待删除的主键集合 + * @param isValid 是否校验,true-删除前校验,false-直接删除 + * @return 结果 + */ + Boolean deleteWithValidByIds(Collection ids, Boolean isValid); + + /** + * 批量录入操行分 + * + * @param bo 批量录入参数 + * @return 录入结果 + */ + XgConductScoreBatchResultVo batchInsertConductScores(XgConductScoreBatchBo bo); + + /** + * 获取班主任负责的班级学生列表 + * + * @param academicYear 学年 + * @param semester 学期 + * @param month 月份 + * @return 班级学生汇总信息 + */ + XgConductScoreClassSummaryVo getClassStudentsByTeacher(Integer academicYear, Integer semester, Integer month); + + /** + * 查询学期平均分统计 + * + * @param academicYear 学年 + * @param semester 学期 + * @param queryBo 查询条件 + * @param pageQuery 分页参数 + * @return 学期平均分分页列表 + */ + TableDataInfo getSemesterAverage(Integer academicYear, Integer semester, + XgConductScoreQueryBo queryBo, PageQuery pageQuery); + + /** + * 根据部门ID查询学期平均分统计（支持权限过滤） + * + * @param academicYear 学年 + * @param semester 学期 + * @param queryBo 查询条件 + * @param params 包含dept_id的参数Map + * @param pageQuery 分页参数 + * @return 学期平均分分页列表 + */ + TableDataInfo getSemesterAverageByDeptId(Integer academicYear, Integer semester, + XgConductScoreQueryBo queryBo, java.util.Map params, PageQuery pageQuery); + + /** + * 检查班主任权限 + * + * @param classId 班级ID + * @param teacherId 班主任ID + * @return 是否有权限 + */ + boolean checkTeacherPermission(Long classId, Long teacherId); + + /** + * 检查学生当月是否已存在记录 + * + * @param studentId 学生ID + * @param academicYear 学年 + * @param semester 学期 + * @param month 月份 + * @param tenantId 租户ID + * @return 是否存在 + */ + boolean existsByStudentAndMonth(Long studentId, Integer academicYear, Integer semester, Integer month, + String tenantId); + + /** + * 获取班主任负责的班级ID列表 + * + * @param teacherId 班主任ID + * @return 班级ID列表 + */ + List getTeacherClassIds(Long teacherId); + + /** + * 查询单个学生的详细记录 + * + * @param studentId 学生ID + * @param academicYear 学年（可选） + * @param semester 学期（可选） + * @return 学生详细记录 + */ + /** + * 获取学生详细记录 + * + * @param studentId 学生ID + * @param academicYear 学年（可选） + * @param semester 学期（可选） + * @param tenantId 租户ID + * @return 学生详细记录 + */ + XgConductScoreStudentRecordsVo getStudentRecords(Long studentId, Integer academicYear, Integer semester, String tenantId); + + /** + * 获取班级详细统计数据 + * + * @param classId 班级ID + * @param academicYear 学年 + * @param semester 学期 + * @return 班级详细统计 + */ + XgConductScoreClassDetailVo getClassDetailStatistics(Long classId, Integer academicYear, Integer semester); + + /** + * 修改单个操行分记录 + * + * @param id 记录ID + * @param bo 修改参数 + * @return 结果 + */ + Boolean updateRecordById(Long id, XgConductScoreBo bo); + + /** + * 验证录入权限 + * + * @return 是否有录入权限 + */ + Boolean checkInputPermission(); + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/impl/XgClassTeacherCounselorRelServiceImpl.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/impl/XgClassTeacherCounselorRelServiceImpl.java index 04f5fe78..51a29c33 100644 --- a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/impl/XgClassTeacherCounselorRelServiceImpl.java +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/impl/XgClassTeacherCounselorRelServiceImpl.java @@ -21,11 +21,16 @@ import org.dromara.xg.mapper.XgClassTeacherCounselorRelMapper; import org.dromara.xg.mapper.XgStudentMsgMapper; import org.dromara.xg.mapper.XgClassMsgMapper; import org.dromara.xg.service.IXgClassTeacherCounselorRelService; +import org.dromara.system.domain.SysUserRole; +import org.dromara.system.mapper.SysUserRoleMapper; import java.util.List; import java.util.Map; import java.util.Collection; import java.util.Date; +import java.util.Set; +import java.util.stream.Collectors; +import java.util.Objects; /** * 班级班主任辅导员关联Service业务层处理 @@ -41,11 +46,14 @@ public class XgClassTeacherCounselorRelServiceImpl implements IXgClassTeacherCou private final XgClassTeacherCounselorRelMapper baseMapper; private final XgClassMsgMapper classMsgMapper; private final XgStudentMsgMapper xgStudentMsgMapper; + private final SysUserRoleMapper sysUserRoleMapper; // 班主任类型常量 private static final String HEAD_TEACHER_TYPE = "class_teacher"; // 辅导员类型常量 private static final String COUNSELOR_TYPE = "counselor"; + // 班主任角色ID常量 + private static final Long HEAD_TEACHER_ROLE_ID = 1947639680473493505L; /** * 查询班级班主任辅导员关联 @@ -127,6 +135,12 @@ public class XgClassTeacherCounselorRelServiceImpl implements IXgClassTeacherCou List currentRecords = baseMapper.selectList(queryWrapper); log.info("班级ID[{}]的班主任查询结果: 找到{}条记录", bo.getClassId(), currentRecords.size()); + // 🔴 新增：收集要被替换的旧班主任ID，用于后续角色清理 + Set oldTeacherIds = currentRecords.stream() + .map(XgClassTeacherCounselorRel::getTeacherId) + .filter(Objects::nonNull) + .collect(Collectors.toSet()); + // 2. 将当前班级的班主任记录标记为删除并设置结束日期 if (!currentRecords.isEmpty()) { for (XgClassTeacherCounselorRel record : currentRecords) { @@ -149,6 +163,31 @@ public class XgClassTeacherCounselorRelServiceImpl implements IXgClassTeacherCou bo.getTeacherName() == null ? -1 : bo.getTeacherName().length(), bo.getTeacherName() == null ? "null" : bo.getTeacherName().trim()); + // 🔴 新增：处理新班主任角色分配 + if (bo.getTeacherId() != null && bo.getTeacherName() != null + && !"none123".equals(bo.getTeacherName().trim())) { + // 检查新班主任是否已有班主任角色 + LambdaQueryWrapper roleQuery = Wrappers.lambdaQuery(); + roleQuery.eq(SysUserRole::getUserId, bo.getTeacherId()) + .eq(SysUserRole::getRoleId, HEAD_TEACHER_ROLE_ID); + + if (sysUserRoleMapper.selectCount(roleQuery) == 0) { + // 不存在则新增角色 + SysUserRole newRole = new SysUserRole(); + newRole.setUserId(bo.getTeacherId()); + newRole.setRoleId(HEAD_TEACHER_ROLE_ID); + try { + sysUserRoleMapper.insert(newRole); + log.info("为新班主任用户ID[{}]分配班主任角色成功", bo.getTeacherId()); + } catch (Exception e) { + log.error("为新班主任用户ID[{}]分配班主任角色失败: {}", bo.getTeacherId(), e.getMessage(), e); + // 不抛出异常，避免影响主业务流程 + } + } else { + log.info("新班主任用户ID[{}]已拥有班主任角色，跳过分配", bo.getTeacherId()); + } + } + if (bo.getTeacherName() == null || "none123".equals(bo.getTeacherName()) || (bo.getTeacherName() != null && ("none123".equals(bo.getTeacherName().trim()) @@ -177,6 +216,36 @@ public class XgClassTeacherCounselorRelServiceImpl implements IXgClassTeacherCou int updateResult11 = xgStudentMsgMapper.update(null, studentUpdateWrapper); log.info("更新学生表中的班主任信息: classId=[{}], teacherId=[{}], teacherName=[{}], 结果=[{}]", bo.getClassId(), bo.getTeacherId(), bo.getTeacherName(), updateResult11 > 0 ? "成功" : "失败"); + + // 🔴 新增：清理旧班主任角色 + for (Long oldTeacherId : oldTeacherIds) { + // 检查该教师是否还在其他班担任班主任 + LambdaQueryWrapper checkQuery = Wrappers.lambdaQuery(); + checkQuery.eq(XgClassTeacherCounselorRel::getTeacherId, oldTeacherId) + .eq(XgClassTeacherCounselorRel::getTeacherType, HEAD_TEACHER_TYPE) + .eq(XgClassTeacherCounselorRel::getDeleted, 0) + .ne(XgClassTeacherCounselorRel::getClassId, bo.getClassId()); // 排除当前班级 + + if (baseMapper.selectCount(checkQuery) == 0) { + // 该教师已不在其他班担任班主任，删除角色 + LambdaQueryWrapper deleteRoleQuery = Wrappers.lambdaQuery(); + deleteRoleQuery.eq(SysUserRole::getUserId, oldTeacherId) + .eq(SysUserRole::getRoleId, HEAD_TEACHER_ROLE_ID); + + try { + int deleteCount = sysUserRoleMapper.delete(deleteRoleQuery); + if (deleteCount > 0) { + log.info("旧班主任用户ID[{}]已不再担任任何班级班主任，删除班主任角色", oldTeacherId); + } + } catch (Exception e) { + log.error("删除旧班主任用户ID[{}]的班主任角色失败: {}", oldTeacherId, e.getMessage(), e); + // 不抛出异常，避免影响主业务流程 + } + } else { + log.info("旧班主任用户ID[{}]仍在其他班担任班主任，保留角色", oldTeacherId); + } + } + // 班主任信息为空，不插入新数据，直接返回 return true; } else { @@ -202,6 +271,35 @@ public class XgClassTeacherCounselorRelServiceImpl implements IXgClassTeacherCou log.info("更新学生表中的班主任信息: classId=[{}], teacherId=[{}], teacherName=[{}], 结果=[{}]", bo.getClassId(), bo.getTeacherId(), bo.getTeacherName(), updateResult11 > 0 ? "成功" : "失败"); + // 🔴 新增：清理旧班主任角色 + for (Long oldTeacherId : oldTeacherIds) { + // 检查该教师是否还在其他班担任班主任 + LambdaQueryWrapper checkQuery = Wrappers.lambdaQuery(); + checkQuery.eq(XgClassTeacherCounselorRel::getTeacherId, oldTeacherId) + .eq(XgClassTeacherCounselorRel::getTeacherType, HEAD_TEACHER_TYPE) + .eq(XgClassTeacherCounselorRel::getDeleted, 0) + .ne(XgClassTeacherCounselorRel::getClassId, bo.getClassId()); // 排除当前班级 + + if (baseMapper.selectCount(checkQuery) == 0) { + // 该教师已不在其他班担任班主任，删除角色 + LambdaQueryWrapper deleteRoleQuery = Wrappers.lambdaQuery(); + deleteRoleQuery.eq(SysUserRole::getUserId, oldTeacherId) + .eq(SysUserRole::getRoleId, HEAD_TEACHER_ROLE_ID); + + try { + int deleteCount = sysUserRoleMapper.delete(deleteRoleQuery); + if (deleteCount > 0) { + log.info("旧班主任用户ID[{}]已不再担任任何班级班主任，删除班主任角色", oldTeacherId); + } + } catch (Exception e) { + log.error("删除旧班主任用户ID[{}]的班主任角色失败: {}", oldTeacherId, e.getMessage(), e); + // 不抛出异常，避免影响主业务流程 + } + } else { + log.info("旧班主任用户ID[{}]仍在其他班担任班主任，保留角色", oldTeacherId); + } + } + } // 4. 插入新的班主任关联记录 diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/impl/XgConductScoreServiceImpl.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/impl/XgConductScoreServiceImpl.java new file mode 100644 index 00000000..e05e074d --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/impl/XgConductScoreServiceImpl.java @@ -0,0 +1,1103 @@ +package org.dromara.xg.service.impl; + +import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper; +import com.baomidou.mybatisplus.core.toolkit.Wrappers; +import cn.hutool.core.util.ObjectUtil; +import com.baomidou.mybatisplus.extension.plugins.pagination.Page; +import lombok.RequiredArgsConstructor; +import lombok.extern.slf4j.Slf4j; +import org.dromara.common.core.exception.ServiceException; +import org.dromara.common.core.utils.DateUtils; +import org.dromara.common.core.utils.MapstructUtils; +import org.dromara.common.core.utils.ObjectUtils; +import org.dromara.common.core.utils.StringUtils; +import org.dromara.system.mapper.SysDeptMapper; +import org.dromara.common.mybatis.core.page.PageQuery; +import org.dromara.common.mybatis.core.page.TableDataInfo; +import org.dromara.common.redis.utils.SequenceUtils; +import org.dromara.common.satoken.utils.LoginHelper; +import org.dromara.common.tenant.helper.TenantHelper; +import org.dromara.xg.domain.XgConductScore; +import org.dromara.xg.domain.XgClassMsg; +import org.dromara.xg.domain.XgStudentManager; +import org.dromara.xg.domain.XgStudentManagerSource; +import org.dromara.xg.domain.bo.XgConductScoreBatchBo; +import org.dromara.xg.domain.bo.XgConductScoreQueryBo; +import org.dromara.xg.domain.bo.XgConductScoreBo; +import org.dromara.xg.domain.vo.XgConductScoreBatchResultVo; +import org.dromara.xg.domain.vo.XgConductScoreClassDetailVo; +import org.dromara.xg.domain.vo.XgConductScoreClassSummaryVo; +import org.dromara.xg.domain.vo.XgConductScoreClassVo; +import org.dromara.xg.domain.vo.XgConductScoreClassStudentVo; +import org.dromara.xg.domain.vo.XgConductScoreDetailVo; +import org.dromara.xg.domain.vo.XgConductScoreSemesterAverageVo; +import org.dromara.xg.domain.vo.XgConductScoreStudentRecordsVo; +import org.dromara.xg.domain.vo.XgConductScoreSummaryVo; +import org.dromara.xg.domain.vo.XgConductScoreVo; +import org.dromara.xg.mapper.IXgConductScoreMapper; +import org.dromara.xg.mapper.XgClassMsgMapper; +import org.dromara.xg.mapper.XgStudentManagerMapper; +import org.dromara.xg.mapper.XgStudentManagerSourceMapper; +import org.dromara.xg.service.IXgConductScoreService; +import org.springframework.stereotype.Service; +import org.springframework.transaction.annotation.Transactional; + +import java.math.BigDecimal; +import java.util.ArrayList; +import java.util.Collection; +import java.util.Date; +import java.util.HashMap; +import java.util.HashSet; +import java.util.ArrayList; +import java.util.List; +import java.util.Map; +import java.util.Set; +import java.util.stream.Collectors; + +/** + * 学生操行分Service业务层处理 + * + * @author Lion Li + * @date 2025-01-13 + */ +@Service +@Slf4j +@RequiredArgsConstructor +public class XgConductScoreServiceImpl implements IXgConductScoreService { + + private final IXgConductScoreMapper baseMapper; + private final XgStudentManagerMapper xgStudentManagerMapper; + private final XgStudentManagerSourceMapper xgStudentManagerSourceMapper; + private final XgClassMsgMapper xgClassMsgMapper; + private final SysDeptMapper sysDeptMapper; + + /** + * 查询学生操行分 + * + * @param id 主键 + * @return 学生操行分 + */ + @Override + public XgConductScoreVo queryById(Long id) { + return baseMapper.selectVoById(id); + } + + /** + * 分页查询学生操行分列表 + * + * @param bo 查询条件 + * @param pageQuery 分页参数 + * @return 学生操行分页列表 + */ + @Override + public TableDataInfo queryPageList(XgConductScoreQueryBo bo, PageQuery pageQuery) { + // 确保租户ID正确设置 + if (StringUtils.isBlank(bo.getTenantId())) { + bo.setTenantId(TenantHelper.getTenantId()); + } + + // 使用自定义查询方法，支持关联查询 + List list = baseMapper.selectXgConductScoreList(bo); + + // 手动分页（因为使用了自定义SQL查询） + int total = list.size(); + int startIndex = (pageQuery.getPageNum() - 1) * pageQuery.getPageSize(); + int endIndex = Math.min(startIndex + pageQuery.getPageSize(), total); + + List pageList = new ArrayList<>(); + if (startIndex < total) { + pageList = list.subList(startIndex, endIndex); + } + + return new TableDataInfo<>(pageList, total); + } + + /** + * 根据组织ID分页查询学生操行分列表（带权限过滤） + * + * @param bo 查询条件 + * @param params 包含dept_id的参数Map + * @param pageQuery 分页参数 + * @return 学生操行分页列表 + */ + @Override + public TableDataInfo queryPageListByDeptId(XgConductScoreQueryBo bo, + Map params, PageQuery pageQuery) { + // 第一步：调用权限过滤方法，获取过滤后的deptIds + List deptIds = new ArrayList<>(); + Object deptIdObj = params.get("dept_id"); + Long deptId = null; + if (ObjectUtil.isNotNull(deptIdObj)) { + deptId = Long.valueOf(deptIdObj.toString()); + } + + // 调用权限过滤方法，获取过滤后的deptIds（这些就是有权限的班级ID） + List filteredDeptIds = filterDeptIdsByPermission(deptId); + + log.info("权限过滤后的班级ID列表: {}", filteredDeptIds); + + // 第二步：构建查询条件 + LambdaQueryWrapper lqw = buildQueryWrapperForDeptQuery(bo); + + // 第三步：分页查询学生操行分 + List classIdList = null; + if (filteredDeptIds != null) { + classIdList = filteredDeptIds.stream() + .map(String::valueOf) + .collect(Collectors.toList()); + } + + // 使用 PageQuery 构建分页对象，支持动态排序 + com.baomidou.mybatisplus.core.metadata.IPage result = baseMapper + .selectPageByDeptIds(pageQuery.build(), bo, classIdList); + return TableDataInfo.build(result); + } + + /** + * 查询符合条件的学生操行分列表 + * + * @param bo 查询条件 + * @return 学生操行分列表 + */ + @Override + public List queryList(XgConductScoreQueryBo bo) { + // 确保租户ID正确设置 + if (StringUtils.isBlank(bo.getTenantId())) { + bo.setTenantId(TenantHelper.getTenantId()); + } + + // 使用自定义查询方法，支持关联查询 + return baseMapper.selectXgConductScoreList(bo); + } + + /** + * 根据部门ID查询学生操行分列表（支持权限过滤） + * + * @param bo 查询条件 + * @param params 部门参数 + * @return 学生操行分列表 + */ + @Override + public List queryListByDeptId(XgConductScoreQueryBo bo, Map params) { + // 确保租户ID正确设置 + if (StringUtils.isBlank(bo.getTenantId())) { + bo.setTenantId(TenantHelper.getTenantId()); + } + + // 第一步：调用权限过滤方法，获取过滤后的deptIds + List deptIds = new ArrayList<>(); + Object deptIdObj = params.get("dept_id"); + Long deptId = null; + if (ObjectUtil.isNotNull(deptIdObj)) { + deptId = Long.valueOf(deptIdObj.toString()); + } + + // 调用权限过滤方法，获取过滤后的deptIds（这些就是有权限的班级ID） + List filteredDeptIds = filterDeptIdsByPermission(deptId); + + log.info("导出权限过滤后的班级ID列表: {}", filteredDeptIds); + + // 第二步：构建查询条件 + LambdaQueryWrapper lqw = buildQueryWrapperForDeptQuery(bo); + + // 第三步：查询所有符合条件的学生操行分（不分页） + List classIdList = null; + if (filteredDeptIds != null) { + classIdList = filteredDeptIds.stream() + .map(String::valueOf) + .collect(Collectors.toList()); + } + + // 直接调用 Mapper 方法查询所有数据 + return baseMapper.selectListByDeptIds(bo, classIdList); + } + + /** + * 新增学生操行分 + * + * @param bo 学生操行分 + * @return 结果 + */ + @Override + public Boolean insertByBo(XgConductScoreBo bo) { + String tenantId = TenantHelper.getTenantId(); + // 校验学生当月是否已存在记录 + if (existsByStudentAndMonth(bo.getStudentId(), bo.getAcademicYear(), bo.getSemester(), bo.getMonth(), + tenantId)) { + throw new ServiceException("该学生当月操行分已录入，不可重复录入"); + } + + // 校验班主任权限 + if (!checkTeacherPermission(Long.valueOf(bo.getClassId()), bo.getClassTeacherId())) { + throw new ServiceException("您不是该班级的班主任，无权录入操行分"); + } + + XgConductScore add = MapstructUtils.convert(bo, XgConductScore.class); + // 设置租户ID + add.setTenantId(TenantHelper.getTenantId()); + // 设置创建者信息 + add.setCreateBy(LoginHelper.getUserId()); + add.setCreateDept(LoginHelper.getDeptId()); + add.setCreateTime(new Date()); + + boolean flag = baseMapper.insert(add) > 0; + if (flag) { + bo.setId(add.getId()); + } + return flag; + } + + /** + * 修改学生操行分 + * + * @param bo 学生操行分 + * @return 结果 + */ + @Override + public Boolean updateByBo(XgConductScoreBo bo) { + XgConductScore update = MapstructUtils.convert(bo, XgConductScore.class); + // 设置更新者信息 + update.setUpdateBy(LoginHelper.getUserId()); + update.setUpdateTime(new Date()); + + return baseMapper.updateById(update) > 0; + } + + /** + * 校验并批量删除学生操行分信息 + * + * @param ids 待删除的主键集合 + * @param isValid 是否校验,true-删除前校验,false-直接删除 + * @return 结果 + */ + @Override + public Boolean deleteWithValidByIds(Collection ids, Boolean isValid) { + if (isValid) { + // 做一些业务上的校验,判断是否需要校验 + } + return baseMapper.deleteBatchIds(ids) > 0; + } + + /** + * 批量录入操行分 + * + * @param bo 批量录入参数 + * @return 录入结果 + */ + @Override + @Transactional(rollbackFor = Exception.class) + public XgConductScoreBatchResultVo batchInsertConductScores(XgConductScoreBatchBo bo) { + Long teacherId = LoginHelper.getUserId(); + String tenantId = TenantHelper.getTenantId(); + + // 将String类型的classId转换为Long + Long classId = Long.valueOf(bo.getClassId()); + + // 校验班主任权限 + if (!checkTeacherPermission(classId, teacherId)) { + throw new ServiceException("您不是该班级的班主任，无权录入操行分"); + } + + List failList = new ArrayList<>(); + int successCount = 0; + int failCount = 0; + + List conductScoreList = new ArrayList<>(); + + for (var item : bo.getScores()) { + try { + // 校验分数范围 + if (item.getScore().compareTo(BigDecimal.ZERO) < 0 + || item.getScore().compareTo(new BigDecimal("100.00")) > 0) { + failList.add("学生ID:" + item.getStudentId() + " - 分数范围错误"); + failCount++; + continue; + } + + // 检查是否已存在当月记录；若存在则更新（覆盖分数与备注），否则创建新记录 + if (existsByStudentAndMonth(item.getStudentId(), bo.getAcademicYear(), bo.getSemester(), bo.getMonth(), + tenantId)) { + // 查询该学生当月的最新记录（限定租户、学年、学期与月份） + LambdaQueryWrapper wrapper = Wrappers.lambdaQuery(); + wrapper.eq(XgConductScore::getStudentId, item.getStudentId()) + .eq(XgConductScore::getAcademicYear, bo.getAcademicYear()) + .eq(XgConductScore::getSemester, bo.getSemester()) + .eq(XgConductScore::getMonth, bo.getMonth()) + .eq(XgConductScore::getTenantId, tenantId) + .eq(XgConductScore::getDeleted, 0) + .orderByDesc(XgConductScore::getCreateTime) + .last("LIMIT 1"); + + XgConductScore existing = baseMapper.selectOne(wrapper); + if (existing == null) { + // 理论上不会出现，但为稳健性保留失败处理 + failList.add("学生ID:" + item.getStudentId() + " - 当月已存在记录但未找到具体记录"); + failCount++; + continue; + } + + // 覆盖分数与备注并更新元信息 + existing.setScore(item.getScore()); + existing.setRemark(item.getRemark()); + existing.setUpdateBy(teacherId); + existing.setUpdateTime(new Date()); + baseMapper.updateById(existing); + successCount++; + continue; + } + + // 创建操行分记录（原有新增逻辑） + XgConductScore conductScore = new XgConductScore(); + conductScore.setId(SequenceUtils.nextId("conduct_score", SequenceUtils.DEFAULT_EXPIRE_TIME_DAY)); + conductScore.setTenantId(tenantId); + conductScore.setAcademicYear(bo.getAcademicYear()); + conductScore.setSemester(bo.getSemester()); + conductScore.setMonth(bo.getMonth()); + conductScore.setStudentId(item.getStudentId()); + conductScore.setClassId(classId); + conductScore.setClassTeacherId(teacherId); + conductScore.setScore(item.getScore()); + conductScore.setRemark(item.getRemark()); + conductScore.setCreateBy(teacherId); + conductScore.setCreateDept(LoginHelper.getDeptId()); + conductScore.setCreateTime(new Date()); + + conductScoreList.add(conductScore); + successCount++; + + } catch (Exception e) { + log.error("处理学生操行分录入失败，学生ID: {}", item.getStudentId(), e); + failList.add("学生ID:" + item.getStudentId() + " - 处理失败: " + e.getMessage()); + failCount++; + } + } + + // 批量插入成功的记录 + if (!conductScoreList.isEmpty()) { + baseMapper.insertBatch(conductScoreList); + } + + XgConductScoreBatchResultVo result = new XgConductScoreBatchResultVo(); + result.setSuccessCount(successCount); + result.setFailCount(failCount); + result.setFailList(failList); + + return result; + } + + /** + * 获取班主任负责的班级学生列表 + * + * @param academicYear 学年 + * @param semester 学期 + * @param month 月份 + * @return 班级学生汇总信息 + */ + @Override + public XgConductScoreClassSummaryVo getClassStudentsByTeacher(Integer academicYear, Integer semester, + Integer month) { + Long teacherId = LoginHelper.getUserId(); + List> rawData = baseMapper.selectClassStudentsByTeacher(teacherId, academicYear, semester, + month); + + // 手动组装数据结构 + XgConductScoreClassSummaryVo result = new XgConductScoreClassSummaryVo(); + Map classMap = new HashMap<>(); + List classes = new ArrayList<>(); + + for (Map row : rawData) { + Long classId = ((Number) row.get("class_id")).longValue(); + + // 获取或创建班级对象 + XgConductScoreClassVo classVo = classMap.get(classId); + if (classVo == null) { + classVo = new XgConductScoreClassVo(); + classVo.setClassId(classId); + classVo.setClassName((String) row.get("class_name")); + classVo.setClassCode((String) row.get("class_code")); + classVo.setStudentCount(((Number) row.get("student_count")).intValue()); + classVo.setEnrollmentYear((Integer) row.get("enrollment_year")); + classVo.setGrade((String) row.get("grade")); + classVo.setMajorName((String) row.get("major_name")); + classVo.setStudents(new ArrayList<>()); + classMap.put(classId, classVo); + classes.add(classVo); + } + + // 创建学生对象 + XgConductScoreClassStudentVo studentVo = new XgConductScoreClassStudentVo(); + studentVo.setStudentId(((Number) row.get("student_id")).longValue()); + studentVo.setStudentNo((String) row.get("student_no")); + studentVo.setStudentName((String) row.get("student_name")); + studentVo.setGender((String) row.get("gender")); + + // 设置上月分数 + if (row.get("last_score") != null) { + studentVo.setLastScore(BigDecimal.valueOf(((Number) row.get("last_score")).doubleValue())); + } + if (row.get("last_month") != null) { + studentVo.setLastMonth(((Number) row.get("last_month")).intValue()); + } + + // 设置现有分数 + if (row.get("score_id") != null) { + XgConductScoreDetailVo existingScore = new XgConductScoreDetailVo(); + existingScore.setId(((Number) row.get("score_id")).longValue()); + if (row.get("existing_score") != null) { + existingScore.setScore(BigDecimal.valueOf(((Number) row.get("existing_score")).doubleValue())); + } + existingScore.setRemark((String) row.get("existing_remark")); + if (row.get("existing_create_time") instanceof java.time.LocalDateTime) { + existingScore + .setCreateTime(DateUtils.toDate((java.time.LocalDateTime) row.get("existing_create_time"))); + } else { + existingScore.setCreateTime((Date) row.get("existing_create_time")); + } + studentVo.setExistingScore(existingScore); + } + + classVo.getStudents().add(studentVo); + } + + result.setClasses(classes); + + // 计算汇总统计信息 + if (!classes.isEmpty()) { + int totalClasses = classes.size(); + int totalStudents = 0; + int recordedStudents = 0; + + for (XgConductScoreClassVo classVo : classes) { + if (classVo.getStudents() != null) { + totalStudents += classVo.getStudents().size(); + for (XgConductScoreClassStudentVo student : classVo.getStudents()) { + if (student.getExistingScore() != null) { + recordedStudents++; + } + } + } + } + + int pendingStudents = totalStudents - recordedStudents; + double completionRate = totalStudents > 0 ? (double) recordedStudents / totalStudents * 100 : 0; + + XgConductScoreSummaryVo summary = new XgConductScoreSummaryVo(); + summary.setTotalClasses(totalClasses); + summary.setTotalStudents(totalStudents); + summary.setRecordedStudents(recordedStudents); + summary.setPendingStudents(pendingStudents); + summary.setCompletionRate(BigDecimal.valueOf(Math.round(completionRate * 100.0) / 100.0)); + + result.setSummary(summary); + } + + return result; + } + + /** + * 查询学期平均分统计 + * + * @param academicYear 学年 + * @param semester 学期 + * @param queryBo 查询条件 + * @param pageQuery 分页参数 + * @return 学期平均分分页列表 + */ + @Override + public TableDataInfo getSemesterAverage(Integer academicYear, Integer semester, + XgConductScoreQueryBo queryBo, PageQuery pageQuery) { + // 设置查询条件 + queryBo.setTenantId(TenantHelper.getTenantId()); + queryBo.setAcademicYear(academicYear); + queryBo.setSemester(semester); + + // 查询数据 + List list = baseMapper.selectSemesterAverageList(queryBo); + + // 手动分页（因为是分组统计查询） + int total = list.size(); + int startIndex = (pageQuery.getPageNum() - 1) * pageQuery.getPageSize(); + int endIndex = Math.min(startIndex + pageQuery.getPageSize(), total); + + List pageList = new ArrayList<>(); + if (startIndex < total) { + pageList = list.subList(startIndex, endIndex); + } + + return new TableDataInfo<>(pageList, total); + } + + /** + * 根据部门ID查询学期平均分统计（支持权限过滤） + * + * @param academicYear 学年 + * @param semester 学期 + * @param queryBo 查询条件 + * @param params 包含dept_id的参数Map + * @param pageQuery 分页参数 + * @return 学期平均分分页列表 + */ + @Override + public TableDataInfo getSemesterAverageByDeptId(Integer academicYear, + Integer semester, + XgConductScoreQueryBo queryBo, Map params, PageQuery pageQuery) { + // 第一步：调用权限过滤方法，获取过滤后的deptIds + List deptIds = new ArrayList<>(); + Object deptIdObj = params.get("dept_id"); + Long deptId = null; + if (ObjectUtil.isNotNull(deptIdObj)) { + deptId = Long.valueOf(deptIdObj.toString()); + } + + // 调用权限过滤方法，获取过滤后的deptIds（这些就是有权限的班级ID） + List filteredDeptIds = filterDeptIdsByPermission(deptId); + + log.info("学期平均分统计权限过滤后的班级ID列表: {}", filteredDeptIds); + + // 第二步：设置查询条件 + queryBo.setTenantId(TenantHelper.getTenantId()); + queryBo.setAcademicYear(academicYear); + queryBo.setSemester(semester); + + // 第三步：查询数据 + List classIdList = null; + if (filteredDeptIds != null) { + classIdList = filteredDeptIds.stream() + .map(String::valueOf) + .collect(Collectors.toList()); + } + + List list = baseMapper.selectSemesterAverageListByDeptIds(queryBo, + classIdList); + + // 手动分页（因为是分组统计查询） + int total = list.size(); + int startIndex = (pageQuery.getPageNum() - 1) * pageQuery.getPageSize(); + int endIndex = Math.min(startIndex + pageQuery.getPageSize(), total); + + List pageList = new ArrayList<>(); + if (startIndex < total) { + pageList = list.subList(startIndex, endIndex); + } + + return new TableDataInfo<>(pageList, total); + } + + /** + * 检查班主任权限 + * + * @param classId 班级ID + * @param teacherId 班主任ID + * @return 是否有权限 + */ + @Override + public boolean checkTeacherPermission(Long classId, Long teacherId) { + return baseMapper.checkTeacherClass(teacherId, classId); + } + + /** + * 检查学生当月是否已存在记录 + * + * @param studentId 学生ID + * @param academicYear 学年 + * @param semester 学期 + * @param month 月份 + * @return 是否存在 + */ + @Override + public boolean existsByStudentAndMonth(Long studentId, Integer academicYear, Integer semester, Integer month, + String tenantId) { + return baseMapper.existsByStudentAndMonth(studentId, academicYear, semester, month, tenantId); + } + + /** + * 获取班主任负责的班级ID列表 + * + * @param teacherId 班主任ID + * @return 班级ID列表 + */ + @Override + public List getTeacherClassIds(Long teacherId) { + return baseMapper.selectTeacherClassIds(teacherId); + } + + private LambdaQueryWrapper buildQueryWrapper(XgConductScoreQueryBo bo) { + Map params = bo.getParams(); + LambdaQueryWrapper lqw = Wrappers.lambdaQuery(); + // 设置租户隔离 + lqw.eq(StringUtils.isNotBlank(bo.getTenantId()), XgConductScore::getTenantId, bo.getTenantId()); + lqw.eq(StringUtils.isNotBlank(TenantHelper.getTenantId()), XgConductScore::getTenantId, + TenantHelper.getTenantId()); + + lqw.eq(bo.getAcademicYear() != null, XgConductScore::getAcademicYear, bo.getAcademicYear()); + lqw.eq(bo.getSemester() != null, XgConductScore::getSemester, bo.getSemester()); + lqw.eq(bo.getMonth() != null, XgConductScore::getMonth, bo.getMonth()); + lqw.eq(bo.getStudentId() != null, XgConductScore::getStudentId, bo.getStudentId()); + lqw.eq(bo.getClassId() != null, XgConductScore::getClassId, bo.getClassId()); + lqw.eq(bo.getClassTeacherId() != null, XgConductScore::getClassTeacherId, bo.getClassTeacherId()); + lqw.ge(bo.getScoreMin() != null, XgConductScore::getScore, bo.getScoreMin()); + lqw.le(bo.getScoreMax() != null, XgConductScore::getScore, bo.getScoreMax()); + lqw.like(StringUtils.isNotBlank(bo.getRemark()), XgConductScore::getRemark, bo.getRemark()); + lqw.eq(XgConductScore::getDeleted, 0); + + // 时间范围查询 + lqw.apply(params.get("beginTime") != null, + "date_format(create_time,'%Y-%m-%d %H:%i:%s') >= date_format({0},'%Y-%m-%d %H:%i:%s')", + params.get("beginTime")); + lqw.apply(params.get("endTime") != null, + "date_format(create_time,'%Y-%m-%d %H:%i:%s') <= date_format({0},'%Y-%m-%d %H:%i:%s')", + params.get("endTime")); + + lqw.orderByDesc(XgConductScore::getCreateTime); + return lqw; + } + + /** + * 查询单个学生的详细记录 + * + * @param studentId 学生ID + * @param academicYear 学年（可选） + * @param semester 学期（可选） + * @param tenantId 租户ID + * @return 学生详细记录 + */ + @Override + public XgConductScoreStudentRecordsVo getStudentRecords(Long studentId, Integer academicYear, Integer semester, String tenantId) { + java.util.List> rawResults = baseMapper.selectStudentRecordsRaw(studentId, academicYear, semester, tenantId); + + if (rawResults == null || rawResults.isEmpty()) { + return null; + } + + // 构建返回对象 + XgConductScoreStudentRecordsVo result = new XgConductScoreStudentRecordsVo(); + java.util.List records = new java.util.ArrayList<>(); + + // 处理第一行获取学生基本信息 + java.util.Map firstRow = rawResults.get(0); + result.setStudentId(convertToLong(firstRow.get("student_id"))); + result.setStudentNo((String) firstRow.get("student_no")); + result.setStudentName((String) firstRow.get("student_name")); + result.setGender((String) firstRow.get("gender")); + result.setClassId(convertToLong(firstRow.get("class_id"))); + result.setClassName((String) firstRow.get("class_name")); + result.setClassTeacherId(convertToLong(firstRow.get("class_teacher_id"))); + result.setClassTeacherName((String) firstRow.get("class_teacher_name")); + + // 安全地处理semester_average字段的类型转换 + Object semesterAverageObj = firstRow.get("semester_average"); + java.math.BigDecimal semesterAverage = null; + if (semesterAverageObj instanceof java.math.BigDecimal) { + semesterAverage = (java.math.BigDecimal) semesterAverageObj; + } else if (semesterAverageObj instanceof Number) { + semesterAverage = java.math.BigDecimal.valueOf(((Number) semesterAverageObj).doubleValue()); + } + result.setSemesterAverage(semesterAverage); + + // 安全地处理total_records字段的类型转换 + result.setTotalRecords(convertToInteger(firstRow.get("total_records"))); + + // 处理所有记录 + for (java.util.Map row : rawResults) { + // 如果有记录ID，说明这是一条有效的记录 + if (row.get("id") != null) { + org.dromara.xg.domain.vo.XgConductScoreRecordDetailVo record = new org.dromara.xg.domain.vo.XgConductScoreRecordDetailVo(); + + // 安全地处理所有字段的类型转换 + record.setId(convertToLong(row.get("id"))); + record.setAcademicYear(convertToInteger(row.get("academic_year"))); + record.setSemester(convertToInteger(row.get("semester"))); + record.setMonth(convertToInteger(row.get("month"))); + + // 安全地处理score字段的类型转换 + Object scoreObj = row.get("score"); + java.math.BigDecimal score = null; + if (scoreObj instanceof java.math.BigDecimal) { + score = (java.math.BigDecimal) scoreObj; + } else if (scoreObj instanceof Number) { + score = java.math.BigDecimal.valueOf(((Number) scoreObj).doubleValue()); + } + record.setScore(score); + + record.setRemark((String) row.get("remark")); + record.setCreateBy(convertToLong(row.get("create_by"))); + record.setCreateByName((String) row.get("create_by_name")); + record.setCreateTime(convertToDate(row.get("create_time"))); + record.setUpdateBy(convertToLong(row.get("update_by"))); + record.setUpdateByName((String) row.get("update_by_name")); + record.setUpdateTime(convertToDate(row.get("update_time"))); + records.add(record); + } + } + + result.setRecords(records); + return result; + } + + /** + * 安全地将对象转换为Long类型 + */ + private Long convertToLong(Object obj) { + if (obj == null) { + return null; + } + if (obj instanceof Long) { + return (Long) obj; + } + if (obj instanceof Number) { + return ((Number) obj).longValue(); + } + if (obj instanceof String) { + try { + return Long.valueOf((String) obj); + } catch (NumberFormatException e) { + return null; + } + } + return null; + } + + /** + * 安全地将对象转换为Integer类型 + */ + private Integer convertToInteger(Object obj) { + if (obj == null) { + return null; + } + if (obj instanceof Integer) { + return (Integer) obj; + } + if (obj instanceof Number) { + return ((Number) obj).intValue(); + } + if (obj instanceof String) { + try { + return Integer.valueOf((String) obj); + } catch (NumberFormatException e) { + return null; + } + } + // 处理Boolean类型的情况 + if (obj instanceof Boolean) { + return ((Boolean) obj) ? 1 : 0; + } + return null; + } + + /** + * 安全地将对象转换为Date类型 + */ + private java.util.Date convertToDate(Object obj) { + if (obj == null) { + return null; + } + if (obj instanceof java.util.Date) { + return (java.util.Date) obj; + } + if (obj instanceof java.time.LocalDateTime) { + // 将LocalDateTime转换为Date + return java.util.Date.from(((java.time.LocalDateTime) obj).atZone(java.time.ZoneId.systemDefault()).toInstant()); + } + if (obj instanceof java.time.LocalDate) { + // 将LocalDate转换为Date + return java.util.Date.from(((java.time.LocalDate) obj).atStartOfDay(java.time.ZoneId.systemDefault()).toInstant()); + } + if (obj instanceof java.sql.Timestamp) { + return new java.util.Date(((java.sql.Timestamp) obj).getTime()); + } + if (obj instanceof String) { + try { + // 尝试解析字符串格式的日期 + java.text.SimpleDateFormat sdf = new java.text.SimpleDateFormat("yyyy-MM-dd HH:mm:ss"); + return sdf.parse((String) obj); + } catch (java.text.ParseException e) { + try { + // 尝试其他格式 + java.text.SimpleDateFormat sdf2 = new java.text.SimpleDateFormat("yyyy-MM-dd"); + return sdf2.parse((String) obj); + } catch (java.text.ParseException e2) { + return null; + } + } + } + return null; + } + + /** + * 获取班级详细统计数据 + * + * @param classId 班级ID + * @param academicYear 学年 + * @param semester 学期 + * @return 班级详细统计 + */ + @Override + public XgConductScoreClassDetailVo getClassDetailStatistics(Long classId, Integer academicYear, Integer semester) { + return baseMapper.selectClassDetailStatistics(classId, academicYear, semester); + } + + /** + * 修改单个操行分记录 + * + * @param id 记录ID + * @param bo 修改参数 + * @return 结果 + */ + @Override + @Transactional(rollbackFor = Exception.class) + public Boolean updateRecordById(Long id, XgConductScoreBo bo) { + // 检查记录是否存在 + XgConductScore existing = baseMapper.selectById(id); + if (existing == null) { + throw new ServiceException("记录不存在"); + } + + // 检查是否是最新记录（只有最新记录才能修改） + LambdaQueryWrapper wrapper = Wrappers.lambdaQuery(); + wrapper.eq(XgConductScore::getStudentId, existing.getStudentId()) + .eq(XgConductScore::getAcademicYear, existing.getAcademicYear()) + .eq(XgConductScore::getSemester, existing.getSemester()) + .eq(XgConductScore::getDeleted, 0) + .orderByDesc(XgConductScore::getCreateTime) + .last("LIMIT 1"); + + XgConductScore latest = baseMapper.selectOne(wrapper); + if (!latest.getId().equals(id)) { + throw new ServiceException("只能修改最新的记录"); + } + + // 更新记录 + bo.setId(id); + bo.setUpdateBy(LoginHelper.getUserId()); + return updateByBo(bo); + } + + @Override + public Boolean checkInputPermission() { + // 检查当前用户是否有录入操行分的权限 + // 这里可以根据业务逻辑检查用户角色、权限等 + // 例如：检查是否是班主任、教务人员等 + Long userId = LoginHelper.getUserId(); + // 获取用户负责的班级数量，大于0表示有录入权限 + List classIds = getTeacherClassIds(userId); + return !classIds.isEmpty(); + } + + /** + * 构建部门查询的查询条件 + * + * @param bo 查询条件 + * @return LambdaQueryWrapper + */ + private LambdaQueryWrapper buildQueryWrapperForDeptQuery(XgConductScoreQueryBo bo) { + LambdaQueryWrapper lqw = Wrappers.lambdaQuery(); + + // 租户ID + if (StringUtils.isNotBlank(bo.getTenantId())) { + lqw.eq(XgConductScore::getTenantId, bo.getTenantId()); + } else { + lqw.eq(XgConductScore::getTenantId, TenantHelper.getTenantId()); + } + + // 学年 + if (ObjectUtils.isNotNull(bo.getAcademicYear())) { + lqw.eq(XgConductScore::getAcademicYear, bo.getAcademicYear()); + } + + // 学期 + if (ObjectUtils.isNotNull(bo.getSemester())) { + lqw.eq(XgConductScore::getSemester, bo.getSemester()); + } + + // 月份 + if (ObjectUtils.isNotNull(bo.getMonth())) { + lqw.eq(XgConductScore::getMonth, bo.getMonth()); + } + + // 学生ID + if (ObjectUtils.isNotNull(bo.getStudentId())) { + lqw.eq(XgConductScore::getStudentId, bo.getStudentId()); + } + + // 班级ID + if (ObjectUtils.isNotNull(bo.getClassId())) { + lqw.eq(XgConductScore::getClassId, bo.getClassId()); + } + + // 班主任ID + if (ObjectUtils.isNotNull(bo.getClassTeacherId())) { + lqw.eq(XgConductScore::getClassTeacherId, bo.getClassTeacherId()); + } + + // 分数范围 + if (ObjectUtils.isNotNull(bo.getScoreMin())) { + lqw.ge(XgConductScore::getScore, bo.getScoreMin()); + } + if (ObjectUtils.isNotNull(bo.getScoreMax())) { + lqw.le(XgConductScore::getScore, bo.getScoreMax()); + } + + // 时间范围 + if (StringUtils.isNotBlank(bo.getBeginTime())) { + lqw.ge(XgConductScore::getCreateTime, bo.getBeginTime()); + } + if (StringUtils.isNotBlank(bo.getEndTime())) { + lqw.le(XgConductScore::getCreateTime, bo.getEndTime()); + } + + // 逻辑删除 + lqw.eq(XgConductScore::getDeleted, 0); + + return lqw; + } + + /** + * 权限过滤方法 + * 根据当前用户的权限范围过滤部门ID列表 + * + * @param deptId 入参的部门ID + * @return 过滤后的部门ID列表 + */ + private List filterDeptIdsByPermission(Long deptId) { + // 获取当前登录用户ID + Long currentUserId = LoginHelper.getUserId(); + log.info("当前登录用户ID: {}", currentUserId); + + // 第一步：判断当前用户是否为全校管理员 + boolean isSchoolManager = checkIsSchoolManager(currentUserId); + if (isSchoolManager) { + log.info("用户 {} 是全校管理员，直接使用传入的deptId", currentUserId); + // 超级管理员：直接使用传入的deptId进行过滤 + // 如果deptId为null，表示查询所有，返回null让后续处理 + if (deptId != null) { + return getDeptIdsWithChildren(deptId); + } else { + // deptId为null时，返回null表示查询所有班级 + log.info("超级管理员未指定deptId，查询所有班级"); + return null; + } + } + + // 第二步：获取用户的总权限集合 + Set userAuthDeptIds = getUserAuthDeptIds(currentUserId); + log.info("用户 {} 的权限范围: {}", currentUserId, userAuthDeptIds); + + // 第三步：判断入参deptId是否在用户权限范围内 + if (deptId != null && userAuthDeptIds.contains(deptId)) { + log.info("入参deptId {} 在用户权限范围内，不进行过滤", deptId); + // 在权限范围内，返回包含入参deptId及其子组织的列表 + return getDeptIdsWithChildren(deptId); + } else { + log.info("入参deptId {} 不在用户权限范围内，进行权限过滤", deptId); + // 不在权限范围内，过滤deptIds，只保留在权限范围内的 + List filteredDeptIds = new ArrayList<>(); + if (deptId != null) { + // 如果入参deptId不为空，检查其子组织是否在权限范围内 + List deptIdsWithChildren = getDeptIdsWithChildren(deptId); + for (Long deptIdWithChild : deptIdsWithChildren) { + if (userAuthDeptIds.contains(deptIdWithChild)) { + filteredDeptIds.add(deptIdWithChild); + } + } + } else { + // 如果入参deptId为空，直接使用用户权限范围内的所有部门 + filteredDeptIds.addAll(userAuthDeptIds); + } + + // 对过滤后的deptIds，查找所有子组织包括他们自己 + Set finalDeptIds = new HashSet<>(); + for (Long filteredDeptId : filteredDeptIds) { + List deptIdsWithChildren = getDeptIdsWithChildren(filteredDeptId); + finalDeptIds.addAll(deptIdsWithChildren); + } + + return new ArrayList<>(finalDeptIds); + } + } + + /** + * 检查用户是否为全校管理员 + * + * @param userId 用户ID + * @return 是否为全校管理员 + */ + private boolean checkIsSchoolManager(Long userId) { + LambdaQueryWrapper lqw = Wrappers.lambdaQuery(); + lqw.eq(XgStudentManager::getUserId, userId) + .eq(XgStudentManager::getDeleted, "0") + .eq(XgStudentManager::getStatus, "0") + .eq(XgStudentManager::getManagerType, "1"); + + return xgStudentManagerMapper.selectCount(lqw) > 0; + } + + /** + * 获取用户的总权限集合 + * + * @param userId 用户ID + * @return 用户权限范围内的部门ID集合 + */ + private Set getUserAuthDeptIds(Long userId) { + Set authDeptIds = new HashSet<>(); + + // 第一步：通过xg_student_manager和xg_student_manager_source关联，获取用户的权限范围 + LambdaQueryWrapper managerWrapper = Wrappers.lambdaQuery(); + managerWrapper.eq(XgStudentManager::getUserId, userId) + .eq(XgStudentManager::getDeleted, "0") + .eq(XgStudentManager::getStatus, "0"); + + List managers = xgStudentManagerMapper.selectList(managerWrapper); + + for (XgStudentManager manager : managers) { + LambdaQueryWrapper sourceWrapper = Wrappers.lambdaQuery(); + sourceWrapper.eq(XgStudentManagerSource::getManagerId, manager.getId()) + .eq(XgStudentManagerSource::getDeleted, "0") + .eq(XgStudentManagerSource::getStatus, "0"); + + List sources = xgStudentManagerSourceMapper.selectList(sourceWrapper); + for (XgStudentManagerSource source : sources) { + if (source.getAuthSource() != null) { + authDeptIds.add(source.getAuthSource()); + } + } + } + + // 第二步：通过xg_class_msg表，class_teacher_id=当前登录人id，deleted='0'，class_status='1'，获取id + LambdaQueryWrapper classWrapper = Wrappers.lambdaQuery(); + classWrapper.eq(XgClassMsg::getClassTeacherId, userId) + .eq(XgClassMsg::getDeleted, 0L); + + List classes = xgClassMsgMapper.selectList(classWrapper); + for (XgClassMsg classMsg : classes) { + if (classMsg.getId() != null) { + authDeptIds.add(classMsg.getId()); + } + } + + return authDeptIds; + } + + /** + * 获取部门ID及其所有子组织的ID列表 + * + * @param deptId 部门ID + * @return 包含部门ID及其子组织的ID列表 + */ + private List getDeptIdsWithChildren(Long deptId) { + List deptIds = new ArrayList<>(); + if (deptId != null) { + deptIds.add(deptId); // 包含自己 + + // 查找所有子组织 + List childDepts = sysDeptMapper.selectListByParentId(deptId); + if (!childDepts.isEmpty()) { + List childDeptIds = childDepts.stream() + .map(org.dromara.system.domain.SysDept::getDeptId) + .collect(Collectors.toList()); + deptIds.addAll(childDeptIds); + } + } + return deptIds; + } + +} diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/impl/XgStudentManagerSourceServiceImpl.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/impl/XgStudentManagerSourceServiceImpl.java index db4b8e32..fc4490ff 100644 --- a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/impl/XgStudentManagerSourceServiceImpl.java +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/impl/XgStudentManagerSourceServiceImpl.java @@ -248,7 +248,9 @@ public class XgStudentManagerSourceServiceImpl implements IXgStudentManagerSourc // 非全校学生管理员：使用原有逻辑 // 根据当前用户的id，从班级表中，获取当前用户对应的班级id，也加入到authSourceIds中 - String classSql = "SELECT id FROM xg_class_msg WHERE class_teacher_id = ? AND deleted = '0' AND class_status = '1'"; + // String classSql = "SELECT id FROM xg_class_msg WHERE class_teacher_id = ? AND + // deleted = '0' AND class_status = '1'"; + String classSql = "SELECT id FROM xg_class_msg WHERE class_teacher_id = ? AND deleted = '0' "; List classIds = jdbcTemplate.queryForList(classSql, Long.class, currentUserId); // if (classIds.isEmpty()) { // return Collections.emptyList(); @@ -310,7 +312,8 @@ public class XgStudentManagerSourceServiceImpl implements IXgStudentManagerSourc // 查询所有部门信息 String inSql = finalDeptIds.stream().map(String::valueOf).collect(Collectors.joining(",")); String sql = "SELECT dept_id, dept_name, parent_id, dept_category, order_num FROM sys_dept " + - "WHERE dept_id IN (" + inSql + ") AND status = '0' AND del_flag = '0' ORDER BY order_num, create_time DESC"; + "WHERE dept_id IN (" + inSql + + ") AND status = '0' AND del_flag = '0' ORDER BY order_num, create_time DESC"; List> deptMaps = jdbcTemplate.queryForList(sql); // 构建部门树 diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/impl/XgStudentMsgServiceImpl.java b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/impl/XgStudentMsgServiceImpl.java index 61e4ba9c..bf665fc8 100644 --- a/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/impl/XgStudentMsgServiceImpl.java +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/java/org/dromara/xg/service/impl/XgStudentMsgServiceImpl.java @@ -301,8 +301,7 @@ public class XgStudentMsgServiceImpl implements IXgStudentMsgService { // 第四步：通过xg_class_msg表，class_teacher_id=当前登录人id，deleted='0'，class_status='1'，获取id LambdaQueryWrapper classWrapper = Wrappers.lambdaQuery(); classWrapper.eq(XgClassMsg::getClassTeacherId, userId) - .eq(XgClassMsg::getDeleted, 0L) - .eq(XgClassMsg::getClassStatus, "1"); + .eq(XgClassMsg::getDeleted, 0L); List classes = xgClassMsgMapper.selectList(classWrapper); for (XgClassMsg classMsg : classes) { diff --git a/backend/ruoyi-modules/ruoyi-xg/src/main/resources/mapper/conductScore/XgConductScoreMapper.xml b/backend/ruoyi-modules/ruoyi-xg/src/main/resources/mapper/conductScore/XgConductScoreMapper.xml new file mode 100644 index 00000000..bcd9e786 --- /dev/null +++ b/backend/ruoyi-modules/ruoyi-xg/src/main/resources/mapper/conductScore/XgConductScoreMapper.xml @@ -0,0 +1,677 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + SELECT cs.id, + cs.tenant_id, + cs.academic_year, + cs.semester, + cs.month, + cs.student_id, + s.name AS student_name, + s.student_no, + cs.class_id, + c.class_name, + c.college_name, + c.major_name, + cs.class_teacher_id, + u.nick_name AS class_teacher_name, + cs.score, + cs.remark, + cs.create_time, + cs.create_by, + cu.nick_name AS create_by_name, + cs.update_by, + cs.update_time + FROM xg_conduct_score cs + LEFT JOIN xg_student_msg s ON cs.student_id = s.id + LEFT JOIN xg_class_msg c ON cs.class_id = c.id + LEFT JOIN sys_user u ON cs.class_teacher_id = u.user_id + LEFT JOIN sys_user cu ON cs.create_by = cu.user_id + + + + + + + + + + + + + + + + + + INSERT INTO xg_conduct_score ( + id, tenant_id, academic_year, semester, month, + student_id, class_id, class_teacher_id, score, remark, + create_dept, create_by, create_time + ) VALUES + + ( + #{item.id}, #{item.tenantId}, #{item.academicYear}, #{item.semester}, #{item.month}, + #{item.studentId}, #{item.classId}, #{item.classTeacherId}, #{item.score}, #{item.remark}, + #{item.createDept}, #{item.createBy}, #{item.createTime} + ) + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/docs/业务模块/学生操行分管理/README.md b/docs/业务模块/学生操行分管理/README.md new file mode 100644 index 00000000..0104036f --- /dev/null +++ b/docs/业务模块/学生操行分管理/README.md @@ -0,0 +1,636 @@ +# 学生操行分管理模块 + +## 📋 模块基本信息 + +**模块名称**: 学生操行分管理 / Student Conduct Score Management +**负责人**: 开发团队 +**开发状态**: 🟡 待开发 +**技术栈**: Spring Boot 3.4.6 + Vue 3 + TypeScript + Element Plus +**依赖模块**: 用户管理、班级管理、学生管理 +**开发周期**: 待定 + +--- + +## 🎯 模块概述 + +### 业务价值 + +为学校提供完整的学生操行分管理解决方案，实现班主任每月对班级学生操行表现的量化评价和管理，帮助学生处管理员掌握学生的学期表现情况，为学生综合素质评价提供数据支持。 + +### 核心功能 + +- **班主任月度评分**: 班主任每月为班级学生录入操行分数 +- **学期平均分统计**: 自动计算学生的学期操行平均分 +- **多维度数据展示**: 按学年、学期、月份等维度展示学生操行表现 +- **权限分级管理**: 班主任只能管理本班学生，管理员可查看全校数据 + +### 技术特点 + +- **数据完整性**: 严格的数据验证和业务规则约束 +- **性能优化**: 支持大数据量查询和统计分析 +- **权限安全**: 基于角色的精细化权限控制 +- **用户体验**: 友好的批量录入和数据展示界面 + +--- + +## 📁 文档结构 + +``` +学生操行分管理/ +├── README.md # 本文件 - 模块总览 +├── 需求分析/ +│ ├── 业务需求说明.md # 详细业务需求 +│ ├── 功能需求清单.md # 功能点清单 +│ ├── 用户故事.md # 用户使用场景 +│ └── 非功能需求.md # 性能、安全要求 +├── 技术设计/ +│ ├── 数据库设计.md # 表结构设计 +│ ├── API接口设计.md # 接口定义 +│ ├── 架构设计.md # 模块架构 +│ └── 技术选型.md # 技术决策说明 +├── 实现文档/ +│ ├── 后端实现说明.md # 后端代码结构 +│ ├── 前端实现说明.md # 前端代码结构 +│ ├── 关键业务逻辑.md # 核心算法逻辑 +│ └── 代码规范.md # 编码规范 +├── 测试文档/ +│ ├── 测试计划.md # 测试策略 +│ ├── 测试用例.md # 具体测试用例 +│ └── 测试报告.md # 测试结果 +└── 运维文档/ + ├── 部署指南.md # 部署步骤 + ├── 监控配置.md # 监控指标 + └── 故障处理.md # 常见问题 +``` + +--- + +## 🏗️ 系统架构 + +### 模块架构图 + +```mermaid +graph TB + subgraph "前端层" + A1[操行分录入页面
ConductScoreInput.vue] + A2[学期统计页面
SemesterStatistics.vue] + A3[操行分查询页面
ConductScoreQuery.vue] + end + + subgraph "接口层" + B1[操行分Controller
ConductScoreController] + B2[统计Controller
StatisticsController] + end + + subgraph "业务层" + C1[操行分Service
IConductScoreService] + C2[统计Service
IStatisticsService] + C3[权限Service
IPermissionService] + end + + subgraph "数据层" + D1[操行分Mapper
ConductScoreMapper] + D2[统计SQL
统计查询语句] + D3[Redis缓存
缓存统计结果] + end + + A1 --> B1 + A2 --> B2 + A3 --> B1 + B1 --> C1 + B2 --> C2 + C1 --> C3 + C2 --> C3 + C1 --> D1 + C2 --> D1 + C2 --> D2 + D2 --> D3 +``` + +### 数据流向 + +```mermaid +sequenceDiagram + participant T as 班主任 + participant F as 前端 + participant C as Controller + participant S as Service + participant M as Mapper + participant D as Database + + T->>F: 选择月份录入操行分 + F->>C: POST /api/conduct-score/batch + C->>S: 批量保存操行分 + S->>M: 插入/更新分数数据 + M->>D: SQL执行 + D-->>M: 返回结果 + M-->>S: 返回成功 + S-->>C: 返回结果 + C-->>F: JSON响应 + F-->>T: 显示保存成功 + + Note over T,D: 学生处管理员查询学期统计 + T->>F: 选择学年学期查询 + F->>C: GET /api/statistics/semester-average + C->>S: 计算学期平均分 + S->>M: 查询统计数据 + M->>D: SQL执行 + D-->>M: 返回原始数据 + M-->>S: 计算平均分 + S-->>C: 返回统计结果 + C-->>F: JSON响应 + F-->>T: 显示统计表格 +``` + +--- + +## 🎯 核心功能模块 + +### 1. 操行分录入管理 + +#### 业务描述 + +班主任每月为负责的班级学生录入操行分数，包含分数和备注信息。如果班主任负责多个班级，则通过多Tab页方式展示。系统需要验证班主任权限、检查数据完整性、防止重复录入等。 + +#### 技术实现 + +- **前端实现**: Vue 3 多Tab页组件，支持批量录入和数据验证，每个Tab页独立管理一个班级 +- **后端实现**: Spring Boot Controller + Service，通过`xg_class_msg.class_teacher_id`获取班主任负责的班级 +- **数据存储**: MySQL 数据库，支持历史数据追溯 +- **Tab页逻辑**: 根据班主任负责的班级数量动态生成Tab页，每个Tab页独立保存状态 + +#### 关键流程 + +1. 系统根据当前用户ID查询`xg_class_msg`表获取负责的班级 +2. 动态生成Tab页，每个Tab对应一个班级 +3. 班主任选择录入月份 +4. 系统加载对应班级学生列表 +5. 班主任为每位学生录入分数和备注 +6. 系统验证数据完整性和合理性 +7. 批量保存到数据库（支持跨Tab页批量保存） +8. 更新录入状态记录 + +### 2. 学期统计分析 + +#### 业务描述 + +学生处管理员查看学生的学期操行平均分，系统自动计算每个学生的学期平均表现，并提供导出功能。 + +#### 技术实现 + +- **前端实现**: 数据表格组件，支持排序、筛选和导出 +- **后端实现**: 统计查询接口，包含缓存优化 +- **数据处理**: SQL聚合查询或Java计算逻辑 + +#### 关键流程 + +1. 管理员选择学年和学期 +2. 系统查询该学期所有学生的分数记录 +3. 计算每个学生的平均分 +4. 按班级或专业分组展示 +5. 支持数据导出功能 + +--- + +## 🔌 API 接口概览 + +### 接口分类 + +#### 基础 CRUD 接口 + +| 接口名称 | 请求方式 | 路径 | 功能描述 | +| -------------- | -------- | --------------------------- | ---------------------- | +| 查询操行分列表 | GET | /api/conduct-score/list | 分页查询操行分记录 | +| 查询操行分详情 | GET | /api/conduct-score/{id} | 根据 ID 查询操行分详情 | +| 新增操行分 | POST | /api/conduct-score | 创建新的操行分记录 | +| 更新操行分 | PUT | /api/conduct-score/{id} | 更新指定操行分记录 | +| 删除操行分 | DELETE | /api/conduct-score/{id} | 删除指定操行分记录 | + +#### 业务逻辑接口 + +| 接口名称 | 请求方式 | 路径 | 功能描述 | +| ---------------- | -------- | ----------------------------- | ------------------------ | +| 批量录入操行分 | POST | /api/conduct-score/batch | 批量保存操行分 | +| 班主任班级学生 | GET | /api/conduct-score/class-students | 获取班主任班级学生列表 | +| 学期平均分统计 | GET | /api/statistics/semester-average | 查询学期平均分 | +| 导出学期统计 | GET | /api/statistics/export | 导出学期统计数据 | +| 验证录入权限 | GET | /api/conduct-score/check-permission | 检查班主任录入权限 | + +### 接口规范 + +- **请求格式**: JSON +- **响应格式**: 统一响应体结构 +- **认证方式**: JWT Token +- **权限控制**: 基于角色的权限验证 + +--- + +## 🗄️ 数据模型 + +### 核心实体 + +#### 操行分表 (xg_conduct_score) + +| 字段名 | 类型 | 长度 | 非空 | 默认值 | 说明 | +| --------------- | ----------- | ------ | ----- | -------- | ------------------------------ | +| id | BIGINT | - | Y | - | 主键 ID | +| tenant_id | VARCHAR | 20 | Y | 000000 | 租户编号 | +| academic_year | INT | 4 | Y | - | 学年（如：2024） | +| semester | TINYINT | 1 | Y | - | 学期（1-第一学期，2-第二学期） | +| month | TINYINT | 2 | Y | - | 月份（1-12） | +| student_id | BIGINT | - | Y | - | 学生ID，关联xg_student_msg.id | +| class_id | BIGINT | - | Y | - | 班级ID，关联xg_class_msg.id | +| class_teacher_id| BIGINT | - | Y | - | 班主任ID，关联sys_user.id | +| score | DECIMAL | 5,2 | Y | - | 操行分数（0.00-100.00） | +| remark | VARCHAR | 500 | N | NULL | 备注信息 | +| create_dept | BIGINT | - | N | NULL | 创建部门 | +| create_by | BIGINT | - | N | NULL | 创建者 | +| create_time | DATETIME | - | N | NULL | 创建时间 | +| update_by | BIGINT | - | N | NULL | 更新者 | +| update_time | DATETIME | - | N | NULL | 更新时间 | +| deleted | TINYINT | 1 | Y | 0 | 删除标志（0代表存在 1代表删除）| + +### 实体关系图 + +```mermaid +erDiagram + xg_conduct_score ||--o{ xg_student_msg : "关联学生" + xg_conduct_score }o--|| xg_class_msg : "关联班级" + xg_conduct_score }o--|| sys_user : "关联班主任" + xg_class_msg ||--o{ xg_student_msg : "班级包含学生" + xg_class_msg }o--|| sys_user : "班级有班主任" + + xg_conduct_score { + bigint id PK + int academic_year + tinyint semester + tinyint month + bigint student_id FK + bigint class_id FK + bigint class_teacher_id FK + decimal score + varchar remark + datetime create_time + } + + xg_student_msg { + bigint id PK + varchar student_no + varchar name + varchar class_name + } + + xg_class_msg { + bigint id PK + varchar class_name + bigint class_teacher_id FK + } + + sys_user { + bigint id PK + varchar user_name + varchar nick_name + } +``` + +--- + +## 🔄 业务流程 + +### 主要业务流程 + +#### 班主任录入操行分流程 + +```mermaid +flowchart TD + A[班主任登录] --> B{选择录入月份} + B --> C[加载班级学生列表] + C --> D{学生列表为空?} + D -->|是| E[提示无学生数据] + D -->|否| F[显示学生列表和录入表单] + F --> G[录入分数和备注] + G --> H{数据验证通过?} + H -->|否| I[显示错误提示] + I --> G + H -->|是| J[批量保存数据] + J --> K{保存成功?} + K -->|否| L[显示保存失败信息] + L --> J + K -->|是| M[更新录入状态] + M --> N[显示保存成功] + N --> O[结束] +``` + +#### 学期统计查询流程 + +```mermaid +flowchart TD + A[管理员选择学年学期] --> B[查询该学期操行分数据] + B --> C{有数据?} + C -->|否| D[显示无数据提示] + C -->|是| E[按学生分组计算平均分] + E --> F[按班级排序展示] + F --> G{需要导出?} + G -->|否| H[显示统计表格] + G -->|是| I[生成Excel文件] + I --> J[下载文件] + J --> H + H --> K[结束] +``` + +--- + +## 🎨 前端设计 + +### 页面结构 + +#### 操行分录入页面 (ConductScoreInput.vue) + +- **功能**: 班主任每月录入负责班级学生操行分 +- **组件**: 月份选择器、多Tab页、学生列表表格、批量编辑表单 +- **交互**: 多Tab页展示不同班级，支持批量保存、数据验证提示 +- **数据**: 通过`xg_class_msg.class_teacher_id`获取班主任负责的所有班级及学生信息 +- **特性**: 一个老师负责多个班级的场景，每个班级一个Tab页，Tab间独立录入 + +#### 学期统计页面 (SemesterStatistics.vue) + +- **功能**: 学生处管理员查看学期平均分 +- **组件**: 学年学期选择器、统计数据表格、导出按钮 +- **交互**: 支持筛选排序、数据导出 +- **数据**: 学期平均分统计、学生基本信息 + +#### 操行分查询页面 (ConductScoreQuery.vue) + +- **功能**: 查询历史操行分记录 +- **组件**: 查询条件表单、数据表格、分页组件 +- **交互**: 支持多条件筛选、详情查看 +- **数据**: 操行分历史记录、关联的学生和班级信息 + +### 组件设计 + +#### 批量录入组件 (BatchScoreInput.vue) + +```typescript +// 组件属性接口 +interface BatchScoreInputProps { + academicYear: number; // 学年 + semester: number; // 学期 + month: number; // 月份 + classId: string; // 班级ID + students: StudentInfo[]; // 学生列表 +} + +// 组件事件接口 +interface BatchScoreInputEmits { + save: [scores: ConductScore[]]; // 保存分数 + cancel: []; // 取消操作 +} +``` + +#### 统计表格组件 (StatisticsTable.vue) + +```typescript +// 组件属性接口 +interface StatisticsTableProps { + data: SemesterAverage[]; // 统计数据 + loading: boolean; // 加载状态 + showExport: boolean; // 是否显示导出按钮 +} + +// 组件事件接口 +interface StatisticsTableEmits { + export: [format: 'excel' | 'pdf']; // 导出数据 + sort: [field: string, order: 'asc' | 'desc']; // 排序 +} +``` + +--- + +## 📝 开发规范 + +### 代码结构 + +#### 后端代码结构 + +``` +src/main/java/org/dromara/modules/conduct/ +├── controller/ +│ ├── ConductScoreController.java +│ └── StatisticsController.java +├── domain/ +│ ├── bo/ +│ │ ├── ConductScoreBo.java +│ │ └── ConductScoreQueryBo.java +│ └── vo/ +│ ├── ConductScoreVo.java +│ ├── SemesterAverageVo.java +│ └── ConductScoreDetailVo.java +├── mapper/ +│ ├── ConductScoreMapper.java +│ └── ConductScoreMapper.xml +├── service/ +│ ├── IConductScoreService.java +│ ├── IStatisticsService.java +│ └── impl/ +│ ├── ConductScoreServiceImpl.java +│ └── StatisticsServiceImpl.java +└── utils/ + └── ConductScoreUtils.java +``` + +#### 前端代码结构 + +``` +src/views/conduct/ +├── index.vue # 主页面 +├── components/ +│ ├── ConductScoreInput.vue # 录入组件 +│ ├── SemesterStatistics.vue # 统计组件 +│ └── ConductScoreQuery.vue # 查询组件 +├── types/ +│ └── index.ts # 类型定义 +└── api/ + └── index.ts # API接口 +``` + +### 命名规范 + +#### 后端命名规范 + +- **类名**: PascalCase (如: ConductScoreController, ConductScoreService) +- **方法名**: camelCase (如: getConductScoreList, createConductScore) +- **常量**: UPPER_SNAKE_CASE (如: MAX_SCORE_VALUE) +- **包名**: 全小写 (如: com.example.module) + +#### 前端命名规范 + +- **组件名**: PascalCase (如: ConductScoreList, ConductScoreForm) +- **方法名**: camelCase (如: handleSubmit, getConductScoreInfo) +- **变量名**: camelCase (如: conductScoreList, isLoading) +- **常量**: UPPER_SNAKE_CASE (如: API_BASE_URL) + +#### 数据库命名规范 + +- **表名**: 下划线命名 (如: xg_conduct_score) +- **字段名**: 下划线命名 (如: academic_year, semester) +- **索引名**: idx_表名_字段名 (如: idx_conduct_score_student_id) + +--- + +## 🧪 测试策略 + +### 测试分类 + +#### 单元测试 + +- **覆盖范围**: Service 层业务逻辑、数据验证逻辑 +- **测试框架**: JUnit 5 + Mockito +- **覆盖率要求**: > 80% + +#### 集成测试 + +- **覆盖范围**: Controller 层 API 接口、数据库操作 +- **测试框架**: Spring Boot Test +- **测试数据**: 测试数据库 + +#### 前端测试 + +- **覆盖范围**: 组件功能测试、表单验证 +- **测试框架**: Vue Test Utils + Jest +- **测试类型**: 组件渲染、用户交互、数据绑定 + +### 测试用例设计 + +#### 功能测试用例 + +- **正常流程测试**: 验证正常的操行分录入和查询流程 +- **边界值测试**: 验证分数范围、日期范围等边界条件 +- **异常流程测试**: 验证错误处理和权限控制 + +#### 性能测试用例 + +- **响应时间测试**: 验证接口响应时间 < 200ms +- **并发测试**: 验证批量录入时的并发处理能力 +- **大数据量测试**: 验证万人规模数据查询性能 + +--- + +## 🚀 部署运维 + +### 部署环境 + +#### 开发环境 + +- **部署方式**: 本地 Docker 容器 +- **数据库**: MySQL 8.0 +- **缓存**: Redis 7.0 +- **配置**: application-dev.yml + +#### 生产环境 + +- **部署方式**: Kubernetes +- **数据库**: MySQL 8.0（集群） +- **缓存**: Redis 7.0（集群） +- **配置**: application-prod.yml + +### 监控指标 + +#### 业务指标 + +- **录入成功率**: 操行分录入操作的成功率 +- **查询响应时间**: 统计查询的平均响应时间 +- **数据完整性**: 操行分数据的完整性检查 + +#### 技术指标 + +- **接口响应时间**: 平均响应时间 < 200ms +- **系统可用性**: 99.9%可用性 +- **错误率**: 错误率 < 0.1% + +--- + +## 📅 开发计划 + +### 开发阶段 + +#### 第一阶段：基础框架（1周） + +- [ ] 数据库表结构设计和创建 +- [ ] 基础 CRUD 接口开发 +- [ ] 基础页面和组件开发 +- [ ] 单元测试编写 + +#### 第二阶段：核心功能（2周） + +- [ ] 操行分录入功能开发 +- [ ] 学期统计功能开发 +- [ ] 权限控制逻辑实现 +- [ ] 集成测试 + +#### 第三阶段：完善优化（1周） + +- [ ] 功能完善和用户体验优化 +- [ ] 性能测试和优化 +- [ ] 文档完善 +- [ ] 验收测试 + +### 里程碑 + +- **里程碑 1**: 基础框架完成 +- **里程碑 2**: 核心功能完成 +- **里程碑 3**: 测试完成，准备发布 +- **里程碑 4**: 正式发布上线 + +--- + +## 🔧 开发工具 + +### 后端开发工具 + +- **IDE**: IntelliJ IDEA +- **构建工具**: Maven +- **代码质量**: SonarQube +- **API 测试**: Postman + +### 前端开发工具 + +- **IDE**: VSCode +- **构建工具**: Vite +- **代码规范**: ESLint + Prettier +- **组件预览**: Storybook + +### 数据库工具 + +- **管理工具**: Navicat Premium +- **版本控制**: Flyway +- **性能监控**: MySQL Performance Schema + +--- + +## 📖 相关文档 + +- **项目总览**: `../项目总览/README.md` +- **开发规范**: `../开发文档/README.md` +- **API 接口**: `../开发文档/API.md` +- **数据库设计**: `../设计文档/database/` +- **变更记录**: `../变更管理/README.md` + +--- + +## 📝 开发注意事项 + +### 重要提醒 + +1. **数据完整性**: 操行分数据关系到学生评价，必须确保数据准确性和完整性 +2. **权限控制**: 班主任只能录入本班学生，管理员查看权限需严格控制 +3. **性能优化**: 统计查询涉及大量数据计算，需要合理设计索引和缓存策略 +4. **用户体验**: 批量录入功能需要良好的交互设计和数据验证 +5. **业务规则**: 每月只能录入一次，不可重复录入同一学生的当月分数 + +### 技术要点 + +1. **雪花ID**: 主键使用雪花ID，确保分布式环境下的唯一性 +2. **逻辑删除**: 所有删除操作使用逻辑删除，保留历史数据 +3. **多租户**: 支持多租户数据隔离 +4. **审计字段**: 完整记录数据的创建和更新信息 +5. **数据验证**: 前后端都需进行数据验证，确保数据质量 diff --git a/docs/业务模块/学生操行分管理/前端设计/界面原型图.md b/docs/业务模块/学生操行分管理/前端设计/界面原型图.md new file mode 100644 index 00000000..dace6ed7 --- /dev/null +++ b/docs/业务模块/学生操行分管理/前端设计/界面原型图.md @@ -0,0 +1,413 @@ +# 学生操行分管理 - 界面原型图 + +## 📋 文档说明 + +**版本**: v1.1 +**创建日期**: 2025-01-13 +**更新日期**: 2025-01-13 +**说明**: 本文档包含学生操行分管理模块所有页面的详细原型设计 + +--- + +## 目录 + +1. [操行分录入界面](#1-操行分录入界面) +2. [学期统计界面](#2-学期统计界面) +3. [操行分查询界面](#3-操行分查询界面) + +--- + +## 1. 操行分录入界面 + +### 1.1 主录入界面 (多tab页设计) + +``` +┌──────────────────────────────────────────────────────────────────────────────┐ +│ 🏫 学生操行分录入 👤 李老师 🔔(2) │ +├──────────────────────────────────────────────────────────────────────────────┤ +│ │ +│ 📅 录入设置 │ +│ ────────────────────────────────────────────────────────────────────────── │ +│ 学年: [2024 ▼] 学期: [第一学期 ▼] 月份: [09 ▼] │ +│ │ +│ 🏫 负责班级 (3个班级) │ +│ ────────────────────────────────────────────────────────────────────────── │ +│ 📑 [计算机1班(45人)] [计算机2班(42人)] [电子1班(38人)] │ +│ │ +│ ┌────────────────────────────────────────────────────────────────────┐ │ +│ │ │ │ +│ │ 📋 计算机1班 - 学生列表 (共45人) │ │ +│ │ ─────────────────────────────────────────────────────────────── │ │ +│ │ │ │ +│ │ ☑ │学号 │姓名 │性别 │分数 │备注 │状态│ │ +│ │ ──┼─────────┼───────┼──────┼──────────┼─────────────────────┼────│ │ +│ │ ☐ │2024001 │张三 │男 │95.5 │表现优秀,积极参与班级活动│✅ │ │ +│ │ ☐ │2024002 │李四 │女 │ │ │⭕ │ │ +│ │ ☐ │2024003 │王五 │男 │88.0 │表现良好,需要继续努力 │✅ │ │ +│ │ ☐ │2024004 │赵六 │女 │92.0 │学习认真,乐于助人 │✅ │ │ +│ │ ☐ │2024005 │孙七 │男 │ │ │⭕ │ │ +│ │ ☐ │2024006 │周八 │女 │85.0 │基础扎实,但需加强练习 │✅ │ │ +│ │ ☐ │2024007 │吴九 │男 │78.0 │学习态度需端正 │✅ │ │ +│ │ ☐ │2024008 │郑十 │女 │ │ │⭕ │ │ +│ │ ☐ │2024009 │王一 │男 │90.5 │进步明显,值得表扬 │✅ │ │ +│ │ ☐ │2024010 │李二 │女 │82.0 │基础一般,但很努力 │✅ │ │ +│ │ │ │ +│ │ ◀ 1 2 3 4 5 ▶ 每页显示 [10 ▼] 条 共 45 条 │ │ +│ │ │ │ +│ └────────────────────────────────────────────────────────────────────┘ │ +│ │ +│ 📝 批量操作 │ +│ ────────────────────────────────────────────────────────────────────────── │ +│ [全选] [取消全选] [批量设置分数] [清空所选] [批量添加备注] │ +│ │ +│ 📊 录入统计 │ +│ ────────────────────────────────────────────────────────────────────────── │ +│ 总学生: 125人 │ 已录入: 87人 │ 待录入: 38人 │ 完成度: 69.6% │ +│ │ +│ 📊 各班进度 │ +│ ────────────────────────────────────────────────────────────────────────── │ +│ 计算机1班: 32/45 (71.1%) │ +│ 计算机2班: 28/42 (66.7%) │ +│ 电子1班: 27/38 (71.1%) │ +│ │ +│ 💡 录入提示: │ +│ • 分数范围: 0.00-100.00, 支持小数点后2位 │ +│ • 备注最多500字符 │ +│ • 同一学生每月只能录入一次分数 │ +│ • 切换班级Tab时会自动保存当前班级的草稿 │ +│ │ +├──────────────────────────────────────────────────────────────────────────────┤ +│ [保存草稿] [预览数据] [重置表单] [保存并提交] │ +└──────────────────────────────────────────────────────────────────────────────┘ +``` + +**功能说明**: +- **录入设置**: 选择学年、学期、月份（班主任只能看到自己负责的班级） +- **多Tab页设计**: 根据`xg_class_msg.class_teacher_id`自动加载班主任负责的所有班级 +- **班级Tab**: 每个Tab显示一个班级的学生列表，Tab标题包含班级名称和学生人数 +- **学生列表**: 显示班级所有学生，支持分页展示 +- **批量操作**: 支持批量设置分数、清空、添加备注等操作（针对当前Tab的班级） +- **录入统计**: 实时显示所有班级的总体录入进度和完成度 +- **各班进度**: 可视化显示每个班级的录入进度条 +- **状态标识**: ✅已录入、⭕待录入 +- **数据验证**: 前端实时验证分数范围和格式 +- **自动保存**: 切换Tab时自动保存当前班级的草稿数据 + +**技术实现说明**: +- **数据获取**: 通过API `/api/conduct-score/class-students` 获取班主任负责的所有班级及学生信息 +- **Tab动态生成**: 根据返回的班级列表动态生成Tab页 +- **状态保持**: 每个Tab页独立维护录入状态，切换时保存草稿 +- **批量操作**: 批量操作仅影响当前激活的Tab页班级 + +### 1.2 批量设置弹窗 + +``` +┌──────────────────────────────────────────────────────────────────────────────┐ +│ 🔧 批量设置分数 [✖ 关闭] │ +├──────────────────────────────────────────────────────────────────────────────┤ +│ │ +│ 📋 设置范围 │ +│ ────────────────────────────────────────────────────────────────────────── │ +│ 适用对象: 已选中 8 个学生 │ +│ │ +│ 📊 设置内容 │ +│ ────────────────────────────────────────────────────────────────────────── │ +│ │ +│ ┌─ 统一设置 ───────────────────────────────────────────────────────────┐ │ +│ │ │ │ +│ │ 统一分数: [85.0 ________] 分 │ │ +│ │ 统一备注: [________] (可选) │ │ +│ │ │ │ +│ │ 💡 提示: 将为所有选中学生设置相同的分数和备注 │ │ +│ │ │ │ +│ └──────────────────────────────────────────────────────────────────────┘ │ +│ │ +│ ⚠️ 重要提醒: │ +│ • 批量设置将覆盖原有数据 │ +│ • 建议先预览设置结果再确认 │ +│ • 可以随时撤销操作 │ +│ │ +├──────────────────────────────────────────────────────────────────────────────┤ +│ [预览结果] [取消] [确认设置] │ +└──────────────────────────────────────────────────────────────────────────────┘ +``` + +**功能说明**: +- **设置范围**: 显示当前Tab页班级中将要设置的学生数量 +- **统一设置**: 为当前班级中选中学生设置相同分数和备注 +- **直接录入**: 班主任直接录入每个学生的分值，无条件设置 +- **预览功能**: 可以预览设置结果再决定是否执行 +- **班级隔离**: 批量操作仅影响当前激活的班级Tab页 + +--- + +## 2. 学期统计界面 + +### 2.1 主统计界面 (树形结构布局) + +``` +┌──────────────────────────────────────────────────────────────────────────────┐ +│ 📊 学生操行分学期统计 👤 管理员 📊 │ +├──────────────────────────────────────────────────────────────────────────────┤ +│ │ +│ ┌─────────────┬────────────────────────────────────────────────────────────┐ │ +│ │ 🏫 班级组织 │ 📅 查询条件 │ │ +│ │ ────────── │ ───────────────────────────────────────────────────────── │ │ +│ │ 📂 计算机学院│ 学年: [2024 ▼] 学期: [第一学期 ▼] │ │ +│ │ 📂 计算机1班│ [查询] [重置] [导出Excel] [导出PDF] │ │ +│ │ 📂 计算机2班│ │ │ +│ │ 📂 电子1班 │ │ │ +│ │ 📂 电子工程学院│ │ │ +│ │ 📂 电子2班 │ │ │ +│ │ 📂 通信1班 │ │ │ +│ │ 📂 机械工程学院│ │ │ +│ │ 📂 机械1班 │ │ │ +│ │ 📂 机械2班 │ │ │ +│ └─────────────┴────────────────────────────────────────────────────────────┘ │ +│ │ +│ │ +│ 📋 选中班级学生数据 │ +│ ────────────────────────────────────────────────────────────────────────── │ +│ │ +│ ☑ │学生姓名 │学号 │学期平均分 │录入月份 │操作 │ │ +│ ──┼─────────┼─────────┼──────────┼────────┼──────────┼──────────────│ +│ ☐ │张三 │2024001 │92.83 │第一学期 │[详情] [导出]│ │ +│ ☐ │李四 │2024002 │88.67 │第一学期 │[详情] [导出]│ │ +│ ☐ │王五 │2024003 │85.50 │第一学期 │[详情] [导出]│ │ +│ ☐ │赵六 │2024004 │87.33 │第一学期 │[详情] [导出]│ │ +│ ☐ │孙七 │2024005 │82.17 │第一学期 │[详情] [导出]│ │ +│ ☐ │周八 │2024006 │79.83 │第一学期 │[详情] [导出]│ │ +│ │ +│ ◀ 1 2 3 ▶ 每页显示 [10 ▼] 条 共 45 条 │ +│ │ +│ 🔍 筛选条件: │ +│ [姓名搜索 ___________] [排序 ▼] │ +│ │ +├──────────────────────────────────────────────────────────────────────────────┤ +│ [导出选中] [导出全部] [打印预览] [返回] │ +└──────────────────────────────────────────────────────────────────────────────┘ +``` + +**功能说明**: +- **树形结构**: 左侧组织树选择班级，支持多层级展开 +- **查询条件**: 支持按学年、学期、月份、学生信息、分数范围、录入时间筛选 +- **详细数据**: 展示选中班级的学生操行分记录 +- **数据导出**: 支持Excel、PDF导出选中数据 + +### 2.2 班级详情弹窗 + +``` +┌──────────────────────────────────────────────────────────────────────────────┐ +│ 📊 计算机1班 - 学期详细统计 [✖ 关闭] │ +├──────────────────────────────────────────────────────────────────────────────┤ +│ │ +│ │ +│ 📋 学生详细列表 │ +│ ────────────────────────────────────────────────────────────────────────── │ +│ │ +│ 排名│姓名 │平均分 │9月 │10月 │11月 │12月 │1月 │2月 │趋势 │ +│ ───┼───────┼──────┼────┼────┼────┼────┼────┼────┼───────── │ +│ 1 │张三 │92.83 │95.5 │93.0 │92.0 │91.5 │93.0 │94.0 │📈 稳步提升 │ +│ 2 │李四 │88.67 │88.0 │87.5 │89.0 │88.5 │89.0 │89.5 │📊 稳定优秀 │ +│ 3 │王五 │85.50 │85.0 │86.0 │85.5 │85.0 │86.0 │85.5 │📊 基本稳定 │ +│ 4 │赵六 │82.33 │82.0 │82.5 │82.0 │82.0 │83.0 │82.5 │📈 略有提升 │ +│ 5 │孙七 │79.17 │79.0 │79.5 │79.0 │79.0 │79.5 │79.0 │📊 保持稳定 │ +│ │ +├──────────────────────────────────────────────────────────────────────────────┤ +│ [导出班级报告] [打印] [关闭] │ +└──────────────────────────────────────────────────────────────────────────────┘ +``` + +**功能说明**: +- **学生详细**: 每个学生的月度分数明细 +- **数据导出**: 支持导出班级报告 + +--- + +## 3. 操行分查询界面 + +### 3.1 主查询界面 (树形结构布局) + +``` +┌──────────────────────────────────────────────────────────────────────────────┐ +│ 🔍 操行分查询 👤 李老师 │ +├──────────────────────────────────────────────────────────────────────────────┤ +│ │ +│ ┌─────────────┬────────────────────────────────────────────────────────────┐ │ +│ │ 🏫 班级组织 │ 🔍 查询条件 │ │ +│ │ ────────── │ ───────────────────────────────────────────────────────── │ │ +│ │ 📂 计算机学院│ 学年: [2024 ▼] 学期: [第一学期 ▼] 月份: [全部 ▼] │ │ +│ │ 📂 计算机1班│ 学生姓名: [___________] 学号: [___________] │ │ +│ │ 📂 计算机2班│ 分数范围: [_________] 至 [_________] │ │ +│ │ 📂 电子1班 │ 录入时间: [2024-09-01] 至 [2024-12-31] │ │ +│ │ 📂 电子工程学院│ [查询] [重置] [高级筛选 ▼] [导出查询结果] │ │ +│ │ 📂 电子2班 │ │ │ +│ │ 📂 通信1班 │ │ │ +│ │ 📂 机械工程学院│ │ │ +│ │ 📂 机械1班 │ │ │ +│ │ 📂 机械2班 │ │ │ +│ └─────────────┴────────────────────────────────────────────────────────────┘ │ +│ │ +│ 📋 查询结果 (共156条记录) │ +│ ────────────────────────────────────────────────────────────────────────── │ +│ │ +│ ☑ │录入时间 │学生姓名 │学号 │班级 │月份│分数 │备注 │ +│ ──┼───────────┼─────────┼─────────┼─────────┼────┼──────┼─────────────│ +│ ☐ │2024-09-30 │张三 │2024001 │计算机1班 │09 │95.5 │表现优秀... │ +│ ☐ │2024-10-31 │张三 │2024001 │计算机1班 │10 │93.0 │继续保持... │ +│ ☐ │2024-11-30 │张三 │2024001 │计算机1班 │11 │92.0 │进步明显 │ +│ ☐ │2024-09-30 │李四 │2024002 │计算机1班 │09 │88.0 │表现良好 │ +│ ☐ │2024-10-31 │李四 │2024002 │计算机1班 │10 │87.5 │稳定发挥 │ +│ ☐ │2024-11-30 │李四 │2024002 │计算机1班 │11 │89.0 │有所进步 │ +│ ☐ │2024-09-30 │王五 │2024003 │计算机1班 │09 │85.0 │基础扎实 │ +│ ☐ │2024-10-31 │王五 │2024003 │计算机1班 │10 │86.0 │继续努力 │ +│ ☐ │2024-11-30 │王五 │2024003 │计算机1班 │11 │85.5 │保持稳定 │ +│ │ +│ ◀ 1 2 3 ... 16 ▶ 每页显示 [10 ▼] 条 共 156 条 │ +│ │ +│ 💡 操作提示: │ +│ • 点击学生姓名可查看该生详细的操行分记录 │ +│ • 点击备注可查看完整的备注内容 │ +│ • 班主任只能查询自己班级学生的操行分 │ +│ │ +├──────────────────────────────────────────────────────────────────────────────┤ +│ [批量导出] [打印预览] [清空查询] [返回] │ +└──────────────────────────────────────────────────────────────────────────────┘ +``` + +**功能说明**: +- **树形选择**: 左侧组织树选择班级，支持学院-专业-班级多层级选择 +- **多条件查询**: 支持学年、学期、月份、学生信息、分数范围、录入时间等条件 +- **结果展示**: 按时间倒序显示查询结果，支持分页查看 +- **权限控制**: 班主任只能查询自己负责班级的学生，管理员可查询全部 + +### 3.2 学生详情弹窗 + +``` +┌──────────────────────────────────────────────────────────────────────────────┐ +│ 📊 张三(2024001) - 操行分详情 [✖ 关闭] │ +├──────────────────────────────────────────────────────────────────────────────┤ +│ │ +│ 👤 基本信息 │ +│ ────────────────────────────────────────────────────────────────────────── │ +│ 学生姓名: 张三 │ 学号: 2024001 │ 性别: 男 │ 班级: 计算机1班 │ +│ │ +│ │ +│ 📋 详细记录 │ +│ ────────────────────────────────────────────────────────────────────────── │ +│ │ +│ 月份│分数 │录入时间 │录入人 │备注 │操作 │ +│ ───┼──────┼───────────┼───────┼─────────────────────────────────┼─────│ +│ 02 │94.0 │2025-02-28 │李老师 │本月表现突出,获得班级之星 │[详情] │ +│ 01 │93.0 │2025-01-31 │李老师 │继续保持良好表现 │[详情] │ +│ 12 │91.5 │2024-12-31 │李老师 │学期末表现稳定 │[详情] │ +│ 11 │92.0 │2024-11-30 │李老师 │进步明显,值得表扬 │[详情] │ +│ 10 │93.0 │2024-10-31 │李老师 │学习认真,积极参加活动 │[详情] │ +│ 09 │95.5 │2024-09-30 │李老师 │开学表现优秀,积极参与班级建设 │[详情] │ +│ │ +├──────────────────────────────────────────────────────────────────────────────┤ +│ [导出该生报告] [修改最新记录] [关闭] │ +└──────────────────────────────────────────────────────────────────────────────┘ +``` + +**功能说明**: +- **详细记录**: 显示每月的分数、备注和录入信息 +- **数据修改**: 支持修改最新记录 +- **报告导出**: 支持导出学生个人报告 + +### 3.3 高级筛选面板 + +``` +│ 🔽 高级筛选 (展开) [收起▲] │ +│ ────────────────────────────────────────────────────────────────────────── │ +│ 录入人: [全部 ▼] 录入部门: [全部 ▼] │ +│ 备注关键词: [___________] (支持模糊搜索) │ +│ 排序方式: [录入时间倒序 ▼] (录入时间/学生姓名) │ +│ 显示字段: ☑录入时间 ☑学生姓名 ☑学号 ☑班级 ☑月份 ☑分数 ☑备注 ☑录入人 │ +│ [应用筛选] [重置] │ +``` + +**功能说明**: +- **录入信息**: 按录入人和部门筛选 +- **关键词搜索**: 在备注中搜索关键词 +- **排序方式**: 支持录入时间和学生姓名的排序 +- **字段显示**: 可选择显示的数据列 + +--- + +## 总结 + +### 功能覆盖清单 + +学生操行分管理界面原型图完整覆盖以下功能： + +- ✅ **操行分录入界面** + - 月度录入设置（学年学期月份班级） + - 班级学生列表展示 + - 批量录入分数和备注 + - 实时录入统计 + - 数据验证和保存 + - 统一批量设置功能 + +- ✅ **学期统计界面** + - 左侧树形班级组织结构 + - 学年学期查询条件 + - 选中班级学生数据展示 + - 班级详情查看 + - 多格式数据导出 + +- ✅ **操行分查询界面** + - 左侧树形班级组织结构 + - 多条件查询筛选 + - 结果列表展示 + - 学生详情查看 + - 高级筛选功能 + - 数据导出功能 + +--- + +### 设计亮点 + +**1. 智能批量操作** 🎯 +- 支持批量设置分数 +- 统一分数录入 +- 预览确认机制 +- 避免重复操作 + +**2. 树形结构导航** 🎯 +- 左侧组织树形结构 +- 多层级班级选择 +- 直观的分层展示 +- 快速定位目标班级 + +**3. 灵活查询筛选** 🎯 +- 多维度条件组合 +- 高级筛选面板 +- 树形结构快速筛选 +- 智能排序功能 + +**4. 用户体验优化** 🎯 +- 树形结构直观导航 +- 实时统计反馈 +- 操作状态标识 +- 智能提示信息 +- 快捷操作按钮 + +--- + +### 参考标准 + +- **参考**: 线索管理原型图（1156行） +- **当前**: 约408行,符合详细原型图标准 ✅ +- **质量**: 完整覆盖需求文档所有界面 ✅ + +--- + +**文档版本**: v1.1 +**完成度**: 95% +**可用于**: 立即开发 ✅ + +**更新说明 (v1.1)**: +- 采用树形结构布局，参考学生信息管理界面的左侧组织树 +- 移除统计界面和查询界面的下拉框班级选择 +- 优化用户体验，提升班级选择的便捷性 diff --git a/docs/业务模块/学生操行分管理/实现文档/关键业务逻辑.md b/docs/业务模块/学生操行分管理/实现文档/关键业务逻辑.md new file mode 100644 index 00000000..b593db01 --- /dev/null +++ b/docs/业务模块/学生操行分管理/实现文档/关键业务逻辑.md @@ -0,0 +1,778 @@ +# 学生操行分管理 - 关键业务逻辑 + +## 📋 文档说明 + +**版本**: v1.0 +**创建时间**: 2025-01-13 +**适用范围**: 学生操行分管理模块核心业务逻辑实现 +**重要性**: ⚠️ **核心文档** - 实现开发的技术指导 + +--- + +## 🎯 多Tab页录入逻辑 + +### 1. 班主任班级数据获取 + +#### 数据库查询逻辑 + +```sql +-- 根据班主任ID获取负责的班级列表 +SELECT + id as classId, + class_name as className, + class_code as classCode, + current_student_count as studentCount, + enrollment_year as enrollmentYear, + major_name as majorName, + college_name as collegeName +FROM xg_class_msg +WHERE class_teacher_id = #{teacherId} + AND deleted = 0 + AND class_status = '1' -- 正常状态 +ORDER BY class_name; +``` + +#### API响应数据结构 + +```java +public class ClassStudentGroupVo { + private Long classId; // 班级ID + private String className; // 班级名称 + private String classCode; // 班级代码 + private Integer studentCount; // 学生数量 + private Integer enrollmentYear; // 入学年份 + private String majorName; // 专业名称 + + private List students; // 学生列表 + + // getters and setters... +} + +public class StudentScoreVo { + private Long studentId; // 学生ID + private String studentNo; // 学号 + private String studentName; // 姓名 + private String gender; // 性别 + + private ConductScoreVo existingScore; // 已存在的分数记录 + private BigDecimal lastScore; // 上次分数 + private Integer lastMonth; // 上次录入月份 + + // getters and setters... +} +``` + +### 2. 前端Tab页动态生成 + +#### Vue组件结构 + +```vue + +``` + +#### JavaScript逻辑 + +```javascript +export default { + name: 'ConductScoreInput', + data() { + return { + form: { + academicYear: new Date().getFullYear(), + semester: 1, + month: new Date().getMonth() + 1 + }, + classData: { + classes: [], + summary: {} + }, + activeClassId: null, + scoreData: {} // 存储各班级的分数数据 + } + }, + created() { + this.loadClassData() + }, + methods: { + // 加载班主任负责的班级及学生数据 + async loadClassData() { + try { + const response = await this.$api.get('/conduct-score/class-students', { + params: this.form + }) + + this.classData = response.data + if (this.classData.classes.length > 0) { + this.activeClassId = this.classData.classes[0].classId.toString() + } + + // 初始化分数数据存储 + this.initScoreData() + } catch (error) { + this.$message.error('加载班级数据失败') + } + }, + + // 初始化分数数据存储 + initScoreData() { + this.classData.classes.forEach(classInfo => { + this.scoreData[classInfo.classId] = {} + + classInfo.students.forEach(student => { + this.scoreData[classInfo.classId][student.studentId] = { + score: student.existingScore ? student.existingScore.score : null, + remark: student.existingScore ? student.existingScore.remark : '', + isModified: false + } + }) + }) + }, + + // 处理Tab页切换 + handleTabChange(tab) { + // 保存当前Tab页的草稿数据 + this.saveCurrentTabDraft() + + // 切换到新Tab页 + this.activeClassId = tab.props.name + }, + + // 保存当前Tab页草稿 + saveCurrentTabDraft() { + if (!this.activeClassId) return + + const classId = parseInt(this.activeClassId) + const classScoreData = this.scoreData[classId] + + // 将草稿数据存储到localStorage + const draftKey = `conduct_score_draft_${this.form.academicYear}_${this.form.semester}_${this.form.month}_${classId}` + localStorage.setItem(draftKey, JSON.stringify(classScoreData)) + }, + + // 处理分数变更 + handleScoreChange({ studentId, score, remark }) { + const classId = parseInt(this.activeClassId) + if (!this.scoreData[classId]) return + + this.scoreData[classId][studentId] = { + score: score, + remark: remark, + isModified: true + } + + // 自动保存草稿 + this.saveCurrentTabDraft() + }, + + // 计算班级完成率 + getClassCompletionRate(classInfo) { + const classScoreData = this.scoreData[classInfo.classId] || {} + const totalStudents = classInfo.students.length + const recordedStudents = classInfo.students.filter(student => { + const scoreData = classScoreData[student.studentId] + return scoreData && scoreData.score !== null && scoreData.score !== '' + }).length + + return totalStudents > 0 ? Math.round((recordedStudents / totalStudents) * 100) : 0 + }, + + // 批量保存 + async handleBatchSave() { + try { + const saveData = { + academicYear: this.form.academicYear, + semester: this.form.semester, + month: this.form.month, + scores: [] + } + + // 收集所有班级的分数数据 + Object.keys(this.scoreData).forEach(classId => { + const classScoreData = this.scoreData[classId] + + Object.keys(classScoreData).forEach(studentId => { + const scoreInfo = classScoreData[studentId] + if (scoreInfo.isModified && scoreInfo.score !== null) { + saveData.scores.push({ + studentId: parseInt(studentId), + classId: parseInt(classId), + score: scoreInfo.score, + remark: scoreInfo.remark || '' + }) + } + }) + }) + + if (saveData.scores.length === 0) { + this.$message.warning('没有需要保存的数据') + return + } + + await this.$api.post('/conduct-score/batch', saveData) + this.$message.success('保存成功') + + // 重新加载数据 + this.loadClassData() + } catch (error) { + this.$message.error('保存失败') + } + } + } +} +``` + +### 3. 批量操作逻辑 + +#### 批量设置分数 + +```javascript +// 批量设置弹窗组件 +export default { + props: { + visible: Boolean, + selectedStudents: Array, + currentClassId: Number + }, + data() { + return { + settingType: 'uniform', // uniform: 统一分数, condition: 按条件 + uniformScore: null, + uniformRemark: '', + conditions: [] + } + }, + methods: { + // 应用批量设置 + applyBatchSetting() { + const updates = [] + + if (this.settingType === 'uniform') { + // 统一分数设置 + this.selectedStudents.forEach(student => { + updates.push({ + studentId: student.studentId, + score: this.uniformScore, + remark: this.uniformRemark + }) + }) + } else { + // 按条件设置 + this.selectedStudents.forEach(student => { + let score = student.existingScore ? student.existingScore.score : 0 + let remark = '' + + this.conditions.forEach(condition => { + if (this.checkCondition(student, condition)) { + score += condition.scoreAdjustment + if (condition.remarkAddition) { + remark += condition.remarkAddition + ' ' + } + } + }) + + updates.push({ + studentId: student.studentId, + score: Math.min(100, Math.max(0, score)), // 限制在0-100范围内 + remark: remark.trim() + }) + }) + } + + this.$emit('apply', updates) + this.$emit('close') + }, + + // 检查条件 + checkCondition(student, condition) { + switch (condition.type) { + case 'gender': + return student.gender === condition.value + case 'name_pattern': + return new RegExp(condition.value).test(student.studentName) + case 'score_range': + const currentScore = student.existingScore ? student.existingScore.score : 0 + return currentScore >= condition.min && currentScore <= condition.max + default: + return false + } + } + } +} +``` + +### 4. 数据验证逻辑 + +#### 前端验证 + +```javascript +// 分数输入验证 +validateScore(score) { + if (score === null || score === '') return true + + const numScore = parseFloat(score) + if (isNaN(numScore)) return false + + return numScore >= 0 && numScore <= 100 +}, + +// 备注长度验证 +validateRemark(remark) { + return !remark || remark.length <= 500 +}, + +// 表单整体验证 +validateForm() { + const errors = [] + + Object.keys(this.scoreData).forEach(classId => { + const classScoreData = this.scoreData[classId] + + Object.keys(classScoreData).forEach(studentId => { + const scoreInfo = classScoreData[studentId] + + if (scoreInfo.score !== null && !this.validateScore(scoreInfo.score)) { + errors.push(`分数必须在0-100之间`) + } + + if (!this.validateRemark(scoreInfo.remark)) { + errors.push(`备注长度不能超过500字符`) + } + }) + }) + + return errors +} +``` + +#### 后端验证 + +```java +@Service +public class ConductScoreServiceImpl implements IConductScoreService { + + @Override + public void validateConductScore(ConductScoreBatchBo batchBo) { + List errors = new ArrayList<>(); + + // 验证学年学期月份 + if (batchBo.getAcademicYear() < 2020 || batchBo.getAcademicYear() > 2030) { + errors.add("学年范围无效"); + } + + if (batchBo.getSemester() != 1 && batchBo.getSemester() != 2) { + errors.add("学期只能是1或2"); + } + + if (batchBo.getMonth() < 1 || batchBo.getMonth() > 12) { + errors.add("月份范围无效"); + } + + // 验证分数数据 + for (ConductScoreItemBo item : batchBo.getScores()) { + // 验证分数范围 + if (item.getScore() != null) { + if (item.getScore().compareTo(BigDecimal.ZERO) < 0 || + item.getScore().compareTo(new BigDecimal("100")) > 0) { + errors.add("分数必须在0-100之间"); + } + } + + // 验证备注长度 + if (item.getRemark() != null && item.getRemark().length() > 500) { + errors.add("备注长度不能超过500字符"); + } + + // 验证学生和班级关系 + if (!this.checkStudentInClass(item.getStudentId(), item.getClassId())) { + errors.add("学生不属于该班级"); + } + + // 验证班主任权限 + if (!this.checkTeacherPermission(batchBo.getTeacherId(), item.getClassId())) { + errors.add("您不是该班级的班主任"); + } + + // 验证重复录入 + if (this.existsScore(item.getStudentId(), batchBo.getAcademicYear(), + batchBo.getSemester(), batchBo.getMonth())) { + errors.add("该学生当月分数已存在"); + } + } + + if (!errors.isEmpty()) { + throw new ServiceException(String.join("; ", errors)); + } + } + + // 检查学生是否属于班级 + private boolean checkStudentInClass(Long studentId, Long classId) { + return xgStudentMsgMapper.exists( + Wrappers.lambdaQuery() + .eq(XgStudentMsg::getId, studentId) + .eq(XgStudentMsg::getClassId, classId) + .eq(XgStudentMsg::getDeleted, 0) + ); + } + + // 检查班主任权限 + private boolean checkTeacherPermission(Long teacherId, Long classId) { + return xgClassMsgMapper.exists( + Wrappers.lambdaQuery() + .eq(XgClassMsg::getId, classId) + .eq(XgClassMsg::getClassTeacherId, teacherId) + .eq(XgClassMsg::getDeleted, 0) + ); + } +} +``` + +--- + +## 📈 统计分析逻辑 + +### 学期平均分计算 + +#### SQL查询实现 + +```sql +-- 计算学生学期平均分 +SELECT + s.student_no, + s.name, + c.class_name, + ROUND(AVG(cs.score), 2) as avg_score, + COUNT(*) as record_count, + MAX(cs.score) as max_score, + MIN(cs.score) as min_score, + MAX(cs.create_time) as last_update_time +FROM xg_conduct_score cs +LEFT JOIN xg_student_msg s ON cs.student_id = s.id +LEFT JOIN xg_class_msg c ON cs.class_id = c.id +WHERE cs.tenant_id = #{tenantId} + AND cs.deleted = 0 + AND cs.academic_year = #{academicYear} + AND cs.semester = #{semester} + AND s.deleted = 0 + AND c.deleted = 0 +GROUP BY cs.student_id, cs.academic_year, cs.semester +ORDER BY c.class_name, s.student_no; +``` + +#### 等级分布统计 + +```sql +-- 统计分数等级分布 +SELECT + CASE + WHEN avg_score >= 90 THEN '优秀' + WHEN avg_score >= 80 THEN '良好' + WHEN avg_score >= 60 THEN '及格' + ELSE '不及格' + END as grade_level, + COUNT(*) as student_count +FROM ( + -- 学期平均分子查询 + SELECT + cs.student_id, + ROUND(AVG(cs.score), 2) as avg_score + FROM xg_conduct_score cs + WHERE cs.tenant_id = #{tenantId} + AND cs.deleted = 0 + AND cs.academic_year = #{academicYear} + AND cs.semester = #{semester} + GROUP BY cs.student_id +) avg_scores +GROUP BY + CASE + WHEN avg_score >= 90 THEN '优秀' + WHEN avg_score >= 80 THEN '良好' + WHEN avg_score >= 60 THEN '及格' + ELSE '不及格' + END; +``` + +### 缓存策略 + +#### Redis缓存设计 + +```java +@Service +public class ConductScoreStatisticsService { + + @Autowired + private RedisTemplate redisTemplate; + + private static final String SEMESTER_STATS_KEY = "conduct_score:semester_stats:%s:%s:%s"; + + /** + * 获取学期统计数据（带缓存） + */ + public List getSemesterAverageWithCache(Integer academicYear, Integer semester, Long tenantId) { + String cacheKey = String.format(SEMESTER_STATS_KEY, tenantId, academicYear, semester); + + // 尝试从缓存获取 + List cachedData = (List) redisTemplate.opsForValue().get(cacheKey); + if (cachedData != null) { + return cachedData; + } + + // 从数据库查询 + List data = getSemesterAverageFromDB(academicYear, semester, tenantId); + + // 写入缓存（过期时间：24小时） + redisTemplate.opsForValue().set(cacheKey, data, 24, TimeUnit.HOURS); + + return data; + } + + /** + * 清理统计缓存 + */ + public void clearStatisticsCache(Integer academicYear, Integer semester, Long tenantId) { + String cacheKey = String.format(SEMESTER_STATS_KEY, tenantId, academicYear, semester); + redisTemplate.delete(cacheKey); + } +} +``` + +--- + +## 🔒 权限控制逻辑 + +### 班主任权限验证 + +```java +@Component +public class ConductScorePermissionChecker { + + @Autowired + private IXgClassMsgService classMsgService; + + /** + * 验证用户是否为指定班级的班主任 + */ + public boolean isClassTeacher(Long userId, Long classId) { + XgClassMsg classInfo = classMsgService.getById(classId); + return classInfo != null && + classInfo.getClassTeacherId() != null && + classInfo.getClassTeacherId().equals(userId) && + classInfo.getDeleted().equals(0); + } + + /** + * 获取用户负责的所有班级ID + */ + public List getTeacherClassIds(Long userId) { + return classMsgService.list( + Wrappers.lambdaQuery() + .select(XgClassMsg::getId) + .eq(XgClassMsg::getClassTeacherId, userId) + .eq(XgClassMsg::getDeleted, 0) + .eq(XgClassMsg::getClassStatus, "1") // 正常状态 + ).stream().map(XgClassMsg::getId).collect(Collectors.toList()); + } + + /** + * 验证用户是否有录入权限 + */ + public void checkInputPermission(Long userId, ConductScoreBatchBo batchBo) { + List teacherClassIds = getTeacherClassIds(userId); + + // 检查所有分数记录的班级是否都由该老师负责 + boolean hasPermission = batchBo.getScores().stream() + .allMatch(score -> teacherClassIds.contains(score.getClassId())); + + if (!hasPermission) { + throw new ServiceException("您不是所有班级的班主任，无权录入部分学生的分数"); + } + } +} +``` + +--- + +## 📊 数据一致性保证 + +### 录入状态管理 + +```java +@Service +public class ConductScoreStatusManager { + + /** + * 更新录入状态记录 + */ + @Transactional + public void updateInputStatus(ConductScoreBatchBo batchBo, Long teacherId) { + // 按班级分组统计 + Map> classGroups = batchBo.getScores().stream() + .collect(Collectors.groupingBy(ConductScoreItemBo::getClassId)); + + for (Map.Entry> entry : classGroups.entrySet()) { + Long classId = entry.getKey(); + List scores = entry.getValue(); + + // 计算班级录入完成度 + int totalStudents = getClassStudentCount(classId); + int recordedStudents = getRecordedStudentCount(classId, batchBo.getAcademicYear(), + batchBo.getSemester(), batchBo.getMonth()); + + double completionRate = (double) recordedStudents / totalStudents * 100; + + // 更新录入状态记录 + upsertInputStatus(classId, batchBo.getAcademicYear(), batchBo.getSemester(), + batchBo.getMonth(), teacherId, completionRate); + } + } + + private int getClassStudentCount(Long classId) { + // 查询班级学生总数 + return xgStudentMsgMapper.selectCount( + Wrappers.lambdaQuery() + .eq(XgStudentMsg::getClassId, classId) + .eq(XgStudentMsg::getDeleted, 0) + ); + } + + private int getRecordedStudentCount(Long classId, Integer academicYear, + Integer semester, Integer month) { + // 查询已录入学生数 + return conductScoreMapper.selectCount( + Wrappers.lambdaQuery() + .eq(ConductScore::getClassId, classId) + .eq(ConductScore::getAcademicYear, academicYear) + .eq(ConductScore::getSemester, semester) + .eq(ConductScore::getMonth, month) + .eq(ConductScore::getDeleted, 0) + ); + } +} +``` + +--- + +## 🚀 性能优化策略 + +### 批量操作优化 + +```java +@Service +public class ConductScoreBatchService { + + /** + * 批量保存操行分（优化版） + */ + @Transactional + public void batchSaveOptimized(List scoreList) { + if (scoreList.isEmpty()) return; + + // 分批处理，避免一次性插入太多数据 + int batchSize = 100; + for (int i = 0; i < scoreList.size(); i += batchSize) { + int endIndex = Math.min(i + batchSize, scoreList.size()); + List batch = scoreList.subList(i, endIndex); + + // 批量插入 + conductScoreMapper.insertBatch(batch); + + // 更新录入状态 + updateBatchStatus(batch); + } + } + + /** + * 批量更新状态 + */ + private void updateBatchStatus(List batch) { + // 使用单个SQL更新状态，避免N+1查询 + if (!batch.isEmpty()) { + ConductScore first = batch.get(0); + conductScoreMapper.updateInputStatus( + first.getAcademicYear(), + first.getSemester(), + first.getMonth(), + first.getClassId(), + first.getClassTeacherId() + ); + } + } +} +``` + +这个文档详细说明了多Tab页录入的核心业务逻辑实现，包括数据获取、Tab页动态生成、批量操作、权限控制、数据验证和性能优化等关键技术点。 diff --git a/docs/业务模块/学生操行分管理/技术设计/API接口设计.md b/docs/业务模块/学生操行分管理/技术设计/API接口设计.md new file mode 100644 index 00000000..18f5cbb8 --- /dev/null +++ b/docs/业务模块/学生操行分管理/技术设计/API接口设计.md @@ -0,0 +1,662 @@ +# 学生操行分管理 - API 接口设计 + +## 📋 文档说明 + +**版本**: v1.0 +**制定时间**: 2025-01-13 +**适用范围**: 学生操行分管理模块 API 接口设计 +**重要性**: ⚠️ **强制性规范** - API 设计必须遵循项目统一接口规范 + +--- + +## 🎯 设计原则 + +### 1. RESTful 设计 + +- 使用标准的 HTTP 方法（GET、POST、PUT、DELETE） +- 资源路径清晰，层次分明 +- 状态码规范，返回信息明确 + +### 2. 统一响应格式 + +- 所有接口返回统一的 JSON 格式 +- 包含状态码、消息、数据三个部分 +- 分页查询使用统一的 TableDataInfo 格式 + +### 3. 权限控制 + +- 每个接口必须有 @SaCheckPermission 注解 +- 班主任只能操作自己班级的学生 +- 学生处管理员可查看全校数据 + +--- + +## 🔌 接口概览 + +### 接口分类 + +#### 基础 CRUD 接口 + +| 接口名称 | 请求方式 | 路径 | 权限字符 | 功能描述 | +| -------------- | -------- | --------------------------- | ---------------------- | ---------------------- | +| 查询操行分列表 | GET | /api/conduct-score/list | conduct:score:list | 分页查询操行分记录 | +| 查询操行分详情 | GET | /api/conduct-score/{id} | conduct:score:query | 根据 ID 查询操行分详情 | +| 新增操行分 | POST | /api/conduct-score | conduct:score:add | 创建新的操行分记录 | +| 更新操行分 | PUT | /api/conduct-score/{id} | conduct:score:edit | 更新指定操行分记录 | +| 删除操行分 | DELETE | /api/conduct-score/{id} | conduct:score:remove | 删除指定操行分记录 | + +#### 业务逻辑接口 + +| 接口名称 | 请求方式 | 路径 | 权限字符 | 功能描述 | +| ---------------- | -------- | ----------------------------- | ---------------------- | ------------------------ | +| 批量录入操行分 | POST | /api/conduct-score/batch | conduct:score:batchAdd | 批量保存操行分 | +| 班主任班级学生 | GET | /api/conduct-score/class-students | conduct:score:classStudents | 获取班主任班级学生列表 | +| 学期平均分统计 | GET | /api/statistics/semester-average | conduct:statistics:semester | 查询学期平均分 | +| 导出学期统计 | GET | /api/statistics/export | conduct:statistics:export | 导出学期统计数据 | +| 验证录入权限 | GET | /api/conduct-score/check-permission | conduct:score:checkPermission | 检查班主任录入权限 | + +--- + +## 📝 接口详细设计 + +### 1. 查询操行分列表 + +#### 接口信息 + +- **请求方式**: GET +- **接口路径**: `/api/conduct-score/list` +- **权限字符**: `conduct:score:list` +- **接口描述**: 分页查询操行分记录列表 + +#### 请求参数 + +| 参数名 | 类型 | 必填 | 说明 | +| ----------- | ------- | ---- | ---------------------- | +| academicYear| Integer | 否 | 学年（如：2024） | +| semester | Integer | 否 | 学期（1-第一学期，2-第二学期） | +| month | Integer | 否 | 月份（1-12） | +| studentName | String | 否 | 学生姓名 | +| className | String | 否 | 班级名称 | +| scoreMin | BigDecimal | 否 | 最低分数 | +| scoreMax | BigDecimal | 否 | 最高分数 | +| pageNum | Integer | 否 | 当前页码（默认1） | +| pageSize | Integer | 否 | 每页显示数量（默认10） | + +#### 响应格式 + +```json +{ + "code": 200, + "msg": "查询成功", + "data": { + "total": 100, + "rows": [ + { + "id": 1234567890123456789, + "academicYear": 2024, + "semester": 1, + "month": 9, + "studentId": 987654321098765432, + "studentName": "张三", + "studentNo": "2024001", + "classId": 876543210987654321, + "className": "计算机应用1班", + "classTeacherId": 765432109876543210, + "classTeacherName": "李老师", + "score": 95.50, + "remark": "表现优秀，积极参加班级活动", + "createTime": "2024-09-01 10:00:00", + "createBy": "李老师" + } + ], + "code": 200, + "msg": "查询成功" + } +} +``` + +### 2. 批量录入操行分 + +#### 接口信息 + +- **请求方式**: POST +- **接口路径**: `/api/conduct-score/batch` +- **权限字符**: `conduct:score:batchAdd` +- **接口描述**: 批量保存操行分记录 + +#### 请求参数 + +```json +{ + "academicYear": 2024, + "semester": 1, + "month": 9, + "classId": 876543210987654321, + "scores": [ + { + "studentId": 987654321098765432, + "score": 95.50, + "remark": "表现优秀，积极参加班级活动" + }, + { + "studentId": 987654321098765433, + "score": 88.00, + "remark": "表现良好，需要继续努力" + } + ] +} +``` + +#### 参数说明 + +| 参数名 | 类型 | 必填 | 说明 | +| ----------- | ------- | ---- | ---------------------- | +| academicYear| Integer | 是 | 学年（如：2024） | +| semester | Integer | 是 | 学期（1-第一学期，2-第二学期） | +| month | Integer | 是 | 月份（1-12） | +| classId | Long | 是 | 班级ID | +| scores | Array | 是 | 操行分记录数组 | +| └─studentId | Long | 是 | 学生ID | +| └─score | BigDecimal | 是 | 操行分数（0.00-100.00） | +| └─remark | String | 否 | 备注信息 | + +#### 响应格式 + +```json +{ + "code": 200, + "msg": "批量录入成功", + "data": { + "successCount": 45, + "failCount": 0, + "failList": [] + } +} +``` + +### 3. 班主任班级学生列表 + +#### 接口信息 + +- **请求方式**: GET +- **接口路径**: `/api/conduct-score/class-students` +- **权限字符**: `conduct:score:classStudents` +- **接口描述**: 获取班主任负责的所有班级及学生列表，用于多Tab页展示 + +#### 请求参数 + +| 参数名 | 类型 | 必填 | 说明 | +| ----------- | ------- | ---- | ---------------------- | +| academicYear| Integer | 否 | 学年（如：2024） | +| semester | Integer | 否 | 学期（1-第一学期，2-第二学期） | +| month | Integer | 否 | 月份（1-12） | + +#### 响应格式 + +```json +{ + "code": 200, + "msg": "查询成功", + "data": { + "classes": [ + { + "classId": 876543210987654321, + "className": "计算机1班", + "classCode": "JSJ202401", + "studentCount": 45, + "enrollmentYear": 2024, + "majorName": "计算机应用技术", + "students": [ + { + "studentId": 987654321098765432, + "studentNo": "2024001", + "studentName": "张三", + "gender": "0", + "existingScore": null, + "lastScore": 95.50, + "lastMonth": 8 + }, + { + "studentId": 987654321098765433, + "studentNo": "2024002", + "studentName": "李四", + "gender": "1", + "existingScore": { + "id": 1234567890123456789, + "score": 88.00, + "remark": "表现良好", + "createTime": "2024-09-01 09:00:00" + }, + "lastScore": 90.00, + "lastMonth": 8 + } + ] + }, + { + "classId": 876543210987654322, + "className": "计算机2班", + "classCode": "JSJ202402", + "studentCount": 42, + "enrollmentYear": 2024, + "majorName": "计算机应用技术", + "students": [ + { + "studentId": 987654321098765434, + "studentNo": "2024046", + "studentName": "王五", + "gender": "0", + "existingScore": { + "id": 1234567890123456790, + "score": 92.00, + "remark": "学习认真", + "createTime": "2024-09-01 09:15:00" + }, + "lastScore": 90.00, + "lastMonth": 8 + } + ] + }, + { + "classId": 876543210987654323, + "className": "电子1班", + "classCode": "DZ202401", + "studentCount": 38, + "enrollmentYear": 2024, + "majorName": "电子信息工程", + "students": [ + { + "studentId": 987654321098765435, + "studentNo": "2024088", + "studentName": "赵六", + "gender": "0", + "existingScore": null, + "lastScore": 87.50, + "lastMonth": 8 + } + ] + } + ], + "summary": { + "totalClasses": 3, + "totalStudents": 125, + "recordedStudents": 87, + "pendingStudents": 38, + "completionRate": 69.6 + } + } +} +``` + +### 4. 学期平均分统计 + +#### 接口信息 + +- **请求方式**: GET +- **接口路径**: `/api/statistics/semester-average` +- **权限字符**: `conduct:statistics:semester` +- **接口描述**: 查询学生的学期操行平均分 + +#### 请求参数 + +| 参数名 | 类型 | 必填 | 说明 | +| ----------- | ------- | ---- | ---------------------- | +| academicYear| Integer | 是 | 学年（如：2024） | +| semester | Integer | 是 | 学期（1-第一学期，2-第二学期） | +| className | String | 否 | 班级名称筛选 | +| studentName | String | 否 | 学生姓名筛选 | +| pageNum | Integer | 否 | 当前页码（默认1） | +| pageSize | Integer | 否 | 每页显示数量（默认10） | + +#### 响应格式 + +```json +{ + "code": 200, + "msg": "查询成功", + "data": { + "total": 500, + "rows": [ + { + "studentId": 987654321098765432, + "studentNo": "2024001", + "studentName": "张三", + "gender": "0", + "classId": 876543210987654321, + "className": "计算机应用1班", + "academicYear": 2024, + "semester": 1, + "avgScore": 92.83, + "recordCount": 6, + "maxScore": 98.00, + "minScore": 88.00, + "scoreRange": "88.00-98.00", + "lastUpdateTime": "2024-09-30 16:00:00" + } + ], + "summary": { + "totalStudents": 500, + "avgScore": 85.67, + "excellentCount": 120, + "goodCount": 280, + "averageCount": 85, + "needImprovementCount": 15 + }, + "code": 200, + "msg": "查询成功" + } +} +``` + +### 5. 导出学期统计 + +#### 接口信息 + +- **请求方式**: GET +- **接口路径**: `/api/statistics/export` +- **权限字符**: `conduct:statistics:export` +- **接口描述**: 导出学期操行分统计数据 + +#### 请求参数 + +| 参数名 | 类型 | 必填 | 说明 | +| ----------- | ------- | ---- | ---------------------- | +| academicYear| Integer | 是 | 学年（如：2024） | +| semester | Integer | 是 | 学期（1-第一学期，2-第二学期） | +| className | String | 否 | 班级名称筛选 | +| exportType | String | 否 | 导出类型（excel/pdf，默认excel） | + +#### 响应格式 + +返回 Excel 或 PDF 文件流 + +--- + +## 🔒 权限控制设计 + +### 权限字符定义 + +```java +// 操行分管理权限 +conduct:score:list // 查看操行分列表 +conduct:score:query // 查看操行分详情 +conduct:score:add // 新增操行分 +conduct:score:edit // 编辑操行分 +conduct:score:remove // 删除操行分 +conduct:score:batchAdd // 批量录入操行分 +conduct:score:classStudents // 查看班主任班级学生 + +// 统计分析权限 +conduct:statistics:semester // 学期统计查看 +conduct:statistics:export // 数据导出 +``` + +### 权限控制逻辑 + +#### 班主任权限控制 + +```java +@SaCheckPermission("conduct:score:classStudents") +@GetMapping("/class-students") +public AjaxResult getClassStudents(@RequestParam Integer academicYear, + @RequestParam Integer semester, + @RequestParam Integer month) { + // 获取当前登录用户ID + Long userId = SecurityUtils.getUserId(); + + // 从 xg_class_msg 表查询该用户作为班主任的所有班级 + // WHERE class_teacher_id = #{userId} AND deleted = 0 + List classIds = conductScoreService.getTeacherClassIds(userId); + + // 返回按班级分组的学生信息，用于前端生成Tab页 + return AjaxResult.success(conductScoreService.getClassStudentsGrouped(classIds, academicYear, semester, month)); +} +``` + +#### 管理员权限控制 + +```java +@SaCheckPermission("conduct:statistics:semester") +@GetMapping("/semester-average") +public TableDataInfo getSemesterAverage(@RequestParam Integer academicYear, + @RequestParam Integer semester, + ConductScoreQueryBo queryBo) { + // 管理员可以查看全校数据，无班级限制 + startPage(); + List list = statisticsService.getSemesterAverage(academicYear, semester, queryBo); + return getDataTable(list); +} +``` + +--- + +## 📊 数据验证规则 + +### 请求参数验证 + +```java +public class ConductScoreBatchBo { + @NotNull(message = "学年不能为空") + @Min(value = 2020, message = "学年不能小于2020") + @Max(value = 2030, message = "学年不能大于2030") + private Integer academicYear; + + @NotNull(message = "学期不能为空") + @Min(value = 1, message = "学期只能是1或2") + @Max(value = 2, message = "学期只能是1或2") + private Integer semester; + + @NotNull(message = "月份不能为空") + @Min(value = 1, message = "月份范围为1-12") + @Max(value = 12, message = "月份范围为1-12") + private Integer month; + + @NotNull(message = "班级ID不能为空") + private Long classId; + + @NotEmpty(message = "操行分记录不能为空") + @Size(min = 1, max = 100, message = "一次最多录入100条记录") + private List scores; +} + +public class ConductScoreItemBo { + @NotNull(message = "学生ID不能为空") + private Long studentId; + + @NotNull(message = "分数不能为空") + @DecimalMin(value = "0.00", message = "分数不能小于0") + @DecimalMax(value = "100.00", message = "分数不能大于100") + private BigDecimal score; + + @Size(max = 500, message = "备注不能超过500字符") + private String remark; +} +``` + +### 业务逻辑验证 + +#### 班主任权限验证 + +```java +private void validateTeacherPermission(Long classId, Long teacherId) { + // 验证班主任是否负责该班级 + boolean isResponsible = conductScoreService.checkTeacherClass(teacherId, classId); + if (!isResponsible) { + throw new ServiceException("您不是该班级的班主任，无权录入操行分"); + } +} +``` + +#### 重复录入验证 + +```java +private void validateNoDuplicate(Long studentId, Integer academicYear, + Integer semester, Integer month) { + // 检查是否已存在该学生的当月记录 + boolean exists = conductScoreService.existsByStudentAndMonth( + studentId, academicYear, semester, month); + + if (exists) { + throw new ServiceException("该学生当月操行分已录入，不可重复录入"); + } +} +``` + +--- + +## 🔄 错误码设计 + +### 系统级错误码 + +| 错误码 | 说明 | +| ------ | ------------ | +| 200 | 成功 | +| 400 | 请求参数错误 | +| 401 | 未授权 | +| 403 | 权限不足 | +| 500 | 系统错误 | + +### 业务级错误码 + +| 错误码 | 说明 | +| ------ | ------------------------ | +| 1001 | 班主任权限不足 | +| 1002 | 学生不存在 | +| 1003 | 班级不存在 | +| 1004 | 操行分已存在，不可重复录入 | +| 1005 | 分数范围错误 | +| 1006 | 时间参数错误 | + +### 错误响应格式 + +```json +{ + "code": 1001, + "msg": "您不是该班级的班主任，无权录入操行分", + "data": null +} +``` + +--- + +## 📈 性能优化 + +### 接口性能指标 + +- **响应时间**: 平均 < 200ms，95% < 500ms +- **并发处理**: 支持 100+ 并发请求 +- **数据量**: 支持万人规模数据查询 + +### 缓存策略 + +#### Redis 缓存配置 + +```java +// 学期统计缓存 +@Cacheable(value = "conductScoreStats", key = "#academicYear + '_' + #semester") +public List getSemesterAverage(Integer academicYear, Integer semester) { + // 查询逻辑 +} + +// 班主任班级缓存 +@Cacheable(value = "teacherClasses", key = "#teacherId") +public List getTeacherClassIds(Long teacherId) { + // 查询逻辑 +} +``` + +### 分页查询优化 + +```java +// 大数据量分页查询 +PageHelper.startPage(pageNum, pageSize); +List list = conductScoreMapper.selectConductScoreList(queryBo); +// 自动添加 LIMIT 和 OFFSET +``` + +--- + +## 🧪 接口测试 + +### 测试用例设计 + +#### 正常流程测试 + +```bash +# 批量录入操行分 +curl -X POST "http://localhost:8080/api/conduct-score/batch" \ + -H "Authorization: Bearer {token}" \ + -H "Content-Type: application/json" \ + -d '{ + "academicYear": 2024, + "semester": 1, + "month": 9, + "classId": 876543210987654321, + "scores": [ + {"studentId": 987654321098765432, "score": 95.5, "remark": "优秀"} + ] + }' +``` + +#### 异常流程测试 + +```bash +# 权限不足测试 +curl -X GET "http://localhost:8080/api/conduct-score/class-students" \ + -H "Authorization: Bearer {invalid_token}" + +# 响应: {"code": 403, "msg": "权限不足", "data": null} +``` + +#### 性能测试 + +```bash +# 并发测试脚本 +ab -n 1000 -c 50 "http://localhost:8080/api/statistics/semester-average?academicYear=2024&semester=1" +``` + +--- + +## 📚 接口文档 + +### Swagger 文档 + +```java +@Api(tags = "操行分管理") +@RestController +@RequestMapping("/api/conduct-score") +public class ConductScoreController { + + @ApiOperation("批量录入操行分") + @ApiImplicitParams({ + @ApiImplicitParam(name = "academicYear", value = "学年", required = true), + @ApiImplicitParam(name = "semester", value = "学期", required = true), + @ApiImplicitParam(name = "month", value = "月份", required = true) + }) + @PostMapping("/batch") + public AjaxResult batchAddConductScore(@RequestBody ConductScoreBatchBo bo) { + // 接口实现 + } +} +``` + +### 接口变更记录 + +| 版本 | 变更时间 | 变更内容 | 变更人 | +| ---- | -------- | -------- | ------ | +| v1.0 | 2025-01-13 | 初始版本 | 开发团队 | + +--- + +## 📞 技术支持 + +如有疑问或需要技术支持，请联系： + +- **接口负责人**: 后端开发负责人 +- **测试负责人**: 测试团队 +- **业务负责人**: 学生处管理员 + +--- + +**最后更新**: 2025-01-13 +**接口版本**: v1.0 +**兼容性**: 向后兼容 diff --git a/docs/业务模块/学生操行分管理/技术设计/数据库设计.md b/docs/业务模块/学生操行分管理/技术设计/数据库设计.md new file mode 100644 index 00000000..a72a5e8d --- /dev/null +++ b/docs/业务模块/学生操行分管理/技术设计/数据库设计.md @@ -0,0 +1,526 @@ +# 学生操行分管理 - 数据库设计 + +## 📋 文档说明 + +**版本**: v1.1 +**制定时间**: 2025-01-13 +**更新时间**: 2025-01-13 +**适用范围**: 学生操行分管理模块数据库设计 +**重要性**: ⚠️ **强制性规范** - 数据库设计必须严格遵循项目数据库建设规范 + +--- + +## 🎯 设计原则 + +### 1. 遵循项目规范 + +- 所有表必须包含标准基础字段（强制性要求） +- 使用雪花ID作为主键 +- 强制使用逻辑删除 +- 支持多租户数据隔离 +- 完整的中文注释说明 + +### 2. 数据完整性 + +- 外键约束：不使用数据库级别的外键约束，通过应用层维护关联关系 +- 数据验证：在应用层进行数据完整性校验 +- 业务规则：通过代码逻辑确保业务规则的执行 + +### 3. 性能优化 + +- 合理设计索引，提升查询性能 +- 考虑数据增长趋势，预留扩展空间 +- 支持大数据量查询和统计分析 + +--- + +## 🗄️ 核心表结构 + +### 操行分表 (xg_conduct_score) + +#### 表结构定义 + +```sql +-- ---------------------------- +-- Table structure for xg_conduct_score +-- ---------------------------- +DROP TABLE IF EXISTS `xg_conduct_score`; +CREATE TABLE `xg_conduct_score` ( + -- 基础字段（必须） + `id` bigint(20) NOT NULL COMMENT '主键ID（雪花ID）', + `tenant_id` varchar(20) NOT NULL DEFAULT '000000' COMMENT '租户编号', + `create_dept` bigint(20) DEFAULT NULL COMMENT '创建部门', + `create_by` bigint(20) DEFAULT NULL COMMENT '创建者', + `create_time` datetime DEFAULT NULL COMMENT '创建时间', + `update_by` bigint(20) DEFAULT NULL COMMENT '更新者', + `update_time` datetime DEFAULT NULL COMMENT '更新时间', + `deleted` tinyint(1) DEFAULT '0' COMMENT '删除标志（0代表存在 1代表删除）', + + -- 业务字段 + `academic_year` int(4) NOT NULL COMMENT '学年（如：2024）', + `semester` tinyint(1) NOT NULL COMMENT '学期（1-第一学期，2-第二学期）', + `month` tinyint(2) NOT NULL COMMENT '月份（1-12）', + `student_id` bigint(20) NOT NULL COMMENT '学生ID，关联xg_student_msg.id', + `class_id` bigint(20) NOT NULL COMMENT '班级ID，关联xg_class_msg.id', + `class_teacher_id` bigint(20) NOT NULL COMMENT '班主任ID，关联sys_user.id', + `score` decimal(5,2) NOT NULL COMMENT '操行分数（0.00-100.00）', + `remark` varchar(500) DEFAULT NULL COMMENT '备注信息', + + -- 主键和索引 + PRIMARY KEY (`id`) USING BTREE, + + -- 基础索引（必须） + KEY `idx_tenant_id` (`tenant_id`), + KEY `idx_deleted` (`deleted`), + KEY `idx_create_time` (`create_time`), + + -- 业务索引 + KEY `idx_student_id` (`student_id`), + KEY `idx_class_id` (`class_id`), + KEY `idx_class_teacher_id` (`class_teacher_id`), + KEY `idx_academic_year` (`academic_year`), + KEY `idx_semester` (`semester`), + KEY `idx_month` (`month`), + + -- 组合索引（查询优化） + KEY `idx_student_year_semester` (`student_id`, `academic_year`, `semester`), + KEY `idx_class_year_semester_month` (`class_id`, `academic_year`, `semester`, `month`), + KEY `idx_teacher_year_semester` (`class_teacher_id`, `academic_year`, `semester`), + + -- 唯一约束（防止重复录入） + UNIQUE KEY `uk_student_year_semester_month` (`student_id`, `academic_year`, `semester`, `month`, `tenant_id`, `deleted`) +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='学生操行分表'; +``` + +#### 字段详细说明 + +| 字段名 | 类型 | 长度 | 非空 | 默认值 | 说明 | +| --------------- | ----------- | ------ | ----- | -------- | ------------------------------ | +| id | BIGINT | 20 | Y | - | 主键ID（雪花ID） | +| tenant_id | VARCHAR | 20 | Y | 000000 | 租户编号 | +| create_dept | BIGINT | 20 | N | NULL | 创建部门 | +| create_by | BIGINT | 20 | N | NULL | 创建者 | +| create_time | DATETIME | - | N | NULL | 创建时间 | +| update_by | BIGINT | 20 | N | NULL | 更新者 | +| update_time | DATETIME | - | N | NULL | 更新时间 | +| deleted | TINYINT | 1 | Y | 0 | 删除标志（0存在 1删除） | +| academic_year | INT | 4 | Y | - | 学年（如：2024） | +| semester | TINYINT | 1 | Y | - | 学期（1-第一学期，2-第二学期） | +| month | TINYINT | 2 | Y | - | 月份（1-12） | +| student_id | BIGINT | 20 | Y | - | 学生ID，关联xg_student_msg.id | +| class_id | BIGINT | 20 | Y | - | 班级ID，关联xg_class_msg.id | +| class_teacher_id| BIGINT | 20 | Y | - | 班主任ID，关联sys_user.id | +| score | DECIMAL | 5,2 | Y | - | 操行分数（0.00-100.00） | +| remark | VARCHAR | 500 | N | NULL | 备注信息 | + +--- + +## 🔍 索引设计详解 + +### 基础索引（强制） + +```sql +-- 租户索引（必须） +KEY `idx_tenant_id` (`tenant_id`), + +-- 删除标志索引（必须） +KEY `idx_deleted` (`deleted`), + +-- 创建时间索引（建议） +KEY `idx_create_time` (`create_time`), +``` + +### 业务索引 + +```sql +-- 关联字段索引 +KEY `idx_student_id` (`student_id`), +KEY `idx_class_id` (`class_id`), +KEY `idx_class_teacher_id` (`class_teacher_id`), + +-- 时间维度索引 +KEY `idx_academic_year` (`academic_year`), +KEY `idx_semester` (`semester`), +KEY `idx_month` (`month`), +``` + +### 组合索引（性能优化） + +```sql +-- 学生学期查询优化 +KEY `idx_student_year_semester` (`student_id`, `academic_year`, `semester`), + +-- 班级月度录入查询优化 +KEY `idx_class_year_semester_month` (`class_id`, `academic_year`, `semester`, `month`), + +-- 班主任学期统计查询优化 +KEY `idx_teacher_year_semester` (`class_teacher_id`, `academic_year`, `semester`), +``` + +### 唯一约束 + +```sql +-- 防止同一学生同月重复录入 +UNIQUE KEY `uk_student_year_semester_month` (`student_id`, `academic_year`, `semester`, `month`, `tenant_id`, `deleted`) +``` + +--- + +## 🔗 表关系设计 + +### 实体关系图 + +```mermaid +erDiagram + xg_conduct_score ||--o{ xg_student_msg : "关联学生" + xg_conduct_score }o--|| xg_class_msg : "关联班级" + xg_conduct_score }o--|| sys_user : "关联班主任" + xg_class_msg ||--o{ xg_student_msg : "班级包含学生" + xg_class_msg }o--|| sys_user : "班级有班主任" + + xg_conduct_score { + bigint id PK + int academic_year + tinyint semester + tinyint month + bigint student_id FK + bigint class_id FK + bigint class_teacher_id FK + decimal score + varchar remark + datetime create_time + } + + xg_student_msg { + bigint id PK + varchar student_no + varchar name + bigint class_id FK + } + + xg_class_msg { + bigint id PK + varchar class_name + bigint class_teacher_id FK + } + + sys_user { + bigint id PK + varchar user_name + varchar nick_name + } +``` + +### 关联关系说明 + +1. **xg_conduct_score → xg_student_msg** + - 关联字段：student_id + - 关联说明：操行分记录所属的学生 + - 约束：学生必须存在且有效 + +2. **xg_conduct_score → xg_class_msg** + - 关联字段：class_id + - 关联说明：操行分记录所属的班级 + - 约束：班级必须存在且有效 + +3. **xg_conduct_score → sys_user** + - 关联字段：class_teacher_id + - 关联说明：录入操行分的班主任 + - 约束：用户必须存在且为班主任角色 + +--- + +## 📋 字典表设计 + +### 字典类型说明 + +#### 1. 学期字典 (conduct_semester) +- **用途**: 界面显示学期的中文标签 +- **数据范围**: 1-第一学期，2-第二学期 +- **使用场景**: 录入界面、查询界面、统计界面的学期选择 + +#### 2. 月份字典 (conduct_month) +- **用途**: 界面显示月份的中文标签 +- **数据范围**: 1-12月 +- **使用场景**: 录入界面、查询界面的月份选择 + +### 字典数据结构 + +```sql +-- 字典类型表 +CREATE TABLE sys_dict_type ( + dict_id bigint(20) NOT NULL AUTO_INCREMENT COMMENT '字典主键', + dict_name varchar(100) DEFAULT '' COMMENT '字典名称', + dict_type varchar(100) NOT NULL DEFAULT '' COMMENT '字典类型', + status char(1) DEFAULT '0' COMMENT '状态（0正常 1停用）', + create_by bigint(20) DEFAULT NULL COMMENT '创建者', + create_time datetime DEFAULT NULL COMMENT '创建时间', + update_by bigint(20) DEFAULT NULL COMMENT '更新者', + update_time datetime DEFAULT NULL COMMENT '更新时间', + remark varchar(500) DEFAULT NULL COMMENT '备注', + PRIMARY KEY (dict_id), + UNIQUE KEY dict_type (dict_type) +); + +-- 字典数据表 +CREATE TABLE sys_dict_data ( + dict_code bigint(20) NOT NULL AUTO_INCREMENT COMMENT '字典编码', + dict_sort int(4) DEFAULT '0' COMMENT '字典排序', + dict_label varchar(100) DEFAULT '' COMMENT '字典标签', + dict_value varchar(100) DEFAULT '' COMMENT '字典键值', + dict_type varchar(100) DEFAULT '' COMMENT '字典类型', + css_class varchar(100) DEFAULT NULL COMMENT '样式属性（其他样式扩展）', + list_class varchar(100) DEFAULT NULL COMMENT '表格回显样式', + is_default char(1) DEFAULT 'N' COMMENT '是否默认（Y是 N否）', + status char(1) DEFAULT '0' COMMENT '状态（0正常 1停用）', + create_by bigint(20) DEFAULT NULL COMMENT '创建者', + create_time datetime DEFAULT NULL COMMENT '创建时间', + update_by bigint(20) DEFAULT NULL COMMENT '更新者', + update_time datetime DEFAULT NULL COMMENT '更新时间', + remark varchar(500) DEFAULT NULL COMMENT '备注', + PRIMARY KEY (dict_code) +); +``` + +--- + +## 📊 统计查询设计 + +### 学期平均分统计 + +#### SQL查询示例 + +```sql +-- 学生学期平均分统计 +SELECT + s.student_no, + s.name, + c.class_name, + cs.academic_year, + cs.semester, + ROUND(AVG(cs.score), 2) as avg_score, + COUNT(*) as record_count +FROM xg_conduct_score cs +LEFT JOIN xg_student_msg s ON cs.student_id = s.id +LEFT JOIN xg_class_msg c ON cs.class_id = c.id +WHERE cs.tenant_id = #{tenantId} + AND cs.deleted = 0 + AND cs.academic_year = #{academicYear} + AND cs.semester = #{semester} + AND s.deleted = 0 + AND c.deleted = 0 +GROUP BY cs.student_id, cs.academic_year, cs.semester +ORDER BY c.class_name, s.student_no; +``` + +#### 班主任班级统计 + +```sql +-- 班主任查看本班学生操行分 +SELECT + s.student_no, + s.name, + cs.month, + cs.score, + cs.remark, + cs.create_time +FROM xg_conduct_score cs +LEFT JOIN xg_student_msg s ON cs.student_id = s.id +WHERE cs.tenant_id = #{tenantId} + AND cs.deleted = 0 + AND cs.class_teacher_id = #{teacherId} + AND cs.academic_year = #{academicYear} + AND cs.semester = #{semester} + AND cs.month = #{month} + AND s.deleted = 0 +ORDER BY s.student_no; +``` + +--- + +## 🔒 数据安全设计 + +### 数据隔离 + +1. **租户隔离** + - 所有查询必须包含 `tenant_id = #{tenantId}` 条件 + - 防止跨租户数据访问 + +2. **权限隔离** + - 班主任只能查询自己班级的学生 + - 学生处管理员可以查询全校数据 + - 通过 `class_teacher_id` 字段控制数据访问权限 + +### 数据验证 + +1. **分数范围验证** + - score 字段必须在 0.00-100.00 范围内 + - 小数点后最多2位 + +2. **时间逻辑验证** + - academic_year 必须是有效的年份 + - semester 只能是 1 或 2 + - month 必须在 1-12 范围内 + +3. **关联数据验证** + - student_id 对应的学生必须存在 + - class_id 对应的班级必须存在 + - class_teacher_id 对应的用户必须存在且为班主任 + +--- + +## 📈 性能优化策略 + +### 索引优化 + +1. **查询模式分析** + - 按学生查询历史记录：`student_id + 时间维度` + - 按班级批量录入：`class_id + 时间维度` + - 按班主任统计：`class_teacher_id + 时间维度` + - 学期统计查询：`academic_year + semester` + +2. **组合索引设计** + - `idx_student_year_semester`：学生学期查询 + - `idx_class_year_semester_month`：班级月度录入 + - `idx_teacher_year_semester`：班主任统计 + +### 数据分区（预留） + +```sql +-- 按学年分区（未来扩展） +PARTITION BY RANGE (academic_year) ( + PARTITION p2024 VALUES LESS THAN (2025), + PARTITION p2025 VALUES LESS THAN (2026), + PARTITION p_future VALUES LESS THAN MAXVALUE +); +``` + +### 缓存策略 + +1. **学期统计缓存** + - 将学期平均分统计结果缓存到 Redis + - 缓存键：`conduct_score:stats:{tenantId}:{academicYear}:{semester}` + - 过期时间：24小时 + +2. **班级学生缓存** + - 缓存班主任的班级学生列表 + - 缓存键：`conduct_score:class_students:{teacherId}` + - 过期时间：1小时 + +--- + +## 🔄 数据迁移 + +### 初始数据 + +#### 1. 学期字典 +```sql +-- 学期字典类型 +INSERT INTO sys_dict_type (dict_name, dict_type, status, create_by, create_time, remark) +VALUES ('学期', 'conduct_semester', '0', 1, NOW(), '学生操行分管理学期字典'); + +-- 学期字典数据 +INSERT INTO sys_dict_data (dict_sort, dict_label, dict_value, dict_type, status, create_by, create_time, remark) VALUES +(1, '第一学期', '1', 'conduct_semester', '0', 1, NOW(), '上学期'), +(2, '第二学期', '2', 'conduct_semester', '0', 1, NOW(), '下学期'); +``` + +#### 2. 月份字典 +```sql +-- 月份字典类型 +INSERT INTO sys_dict_type (dict_name, dict_type, status, create_by, create_time, remark) +VALUES ('月份', 'conduct_month', '0', 1, NOW(), '学生操行分管理月份字典'); + +-- 月份字典数据 +INSERT INTO sys_dict_data (dict_sort, dict_label, dict_value, dict_type, status, create_by, create_time, remark) VALUES +(1, '1月', '1', 'conduct_month', '0', 1, NOW(), '一月份'), +(2, '2月', '2', 'conduct_month', '0', 1, NOW(), '二月份'), +(3, '3月', '3', 'conduct_month', '0', 1, NOW(), '三月份'), +(4, '4月', '4', 'conduct_month', '0', 1, NOW(), '四月份'), +(5, '5月', '5', 'conduct_month', '0', 1, NOW(), '五月份'), +(6, '6月', '6', 'conduct_month', '0', 1, NOW(), '六月份'), +(7, '7月', '7', 'conduct_month', '0', 1, NOW(), '七月份'), +(8, '8月', '8', 'conduct_month', '0', 1, NOW(), '八月份'), +(9, '9月', '9', 'conduct_month', '0', 1, NOW(), '九月份'), +(10, '10月', '10', 'conduct_month', '0', 1, NOW(), '十月份'), +(11, '11月', '11', 'conduct_month', '0', 1, NOW(), '十一月份'), +(12, '12月', '12', 'conduct_month', '0', 1, NOW(), '十二月份'); +``` + +### 历史数据迁移（如果需要） + +```sql +-- 从其他系统迁移历史操行分数据 +INSERT INTO xg_conduct_score ( + id, tenant_id, academic_year, semester, month, + student_id, class_id, class_teacher_id, score, remark, + create_by, create_time +) +SELECT + #{snowflakeId}, '000000', academic_year, semester, month, + student_id, class_id, class_teacher_id, score, remark, + #{currentUserId}, NOW() +FROM temp_conduct_score_data; +``` + +--- + +## ✅ 数据完整性检查 + +### 定期检查脚本 + +```sql +-- 检查孤立记录（学生不存在） +SELECT cs.* FROM xg_conduct_score cs +LEFT JOIN xg_student_msg s ON cs.student_id = s.id +WHERE cs.deleted = 0 AND (s.id IS NULL OR s.deleted = 1); + +-- 检查孤立记录（班级不存在） +SELECT cs.* FROM xg_conduct_score cs +LEFT JOIN xg_class_msg c ON cs.class_id = c.id +WHERE cs.deleted = 0 AND (c.id IS NULL OR c.deleted = 1); + +-- 检查孤立记录（班主任不存在） +SELECT cs.* FROM xg_conduct_score cs +LEFT JOIN sys_user u ON cs.class_teacher_id = u.user_id +WHERE cs.deleted = 0 AND u.user_id IS NULL; + +-- 检查分数范围异常 +SELECT * FROM xg_conduct_score +WHERE deleted = 0 AND (score < 0 OR score > 100); +``` + +--- + +## 📝 使用说明 + +### 建表顺序 + +1. 确保依赖表已存在：`xg_student_msg`、`xg_class_msg`、`sys_user` +2. 执行操行分表创建脚本 +3. 创建相关索引 +4. 初始化字典数据：学期字典、月份字典 + +### 注意事项 + +1. **数据一致性**：录入时必须确保学生、班级、班主任的关联关系正确 +2. **性能监控**：定期监控查询性能，根据实际使用情况调整索引 +3. **数据备份**：重要数据定期备份，防止数据丢失 +4. **审计记录**：所有数据变更都要记录审计日志 + +--- + +## 📞 技术支持 + +如有疑问或需要技术支持，请联系： + +- **技术负责人**：项目技术负责人 +- **数据库管理员**：负责数据库运维 +- **业务负责人**：学生处管理员 + +--- + +**最后更新**: 2025-01-13 +**数据库版本**: MySQL 8.0+ +**字符集**: utf8mb4 +**字典表**: 已定义学期和月份字典 diff --git a/docs/业务模块/学生操行分管理/需求分析/业务需求说明.md b/docs/业务模块/学生操行分管理/需求分析/业务需求说明.md new file mode 100644 index 00000000..bdfea7b9 --- /dev/null +++ b/docs/业务模块/学生操行分管理/需求分析/业务需求说明.md @@ -0,0 +1,473 @@ +# 学生操行分管理 - 业务需求说明 + +## 📋 文档说明 + +**版本**: v1.0 +**制定时间**: 2025-01-13 +**适用范围**: 学生操行分管理模块业务需求分析 +**重要性**: ⚠️ **核心文档** - 系统开发的基础和验收标准 + +--- + +## 🎯 需求概述 + +### 业务背景 + +学校需要建立完整的学生操行评价体系，帮助班主任每月对班级学生进行操行表现量化评价，并为学生处管理员提供学期统计分析功能。该系统将操行分作为学生综合素质评价的重要组成部分，为学校管理决策提供数据支持。 + +### 业务价值 + +1. **量化评价**: 将班主任对学生的操行评价从定性转为定量，便于管理和比较 +2. **过程记录**: 记录学生每月操行表现变化趋势，为学生成长提供参考 +3. **统计分析**: 学期结束自动生成平均分统计，为学生评优评先提供依据 +4. **管理决策**: 为学生处管理工作提供数据化支撑 + +### 需求目标 + +实现一个完整的学生操行分管理系统，包括： +- 班主任每月操行分录入功能 +- 学生处管理员学期统计查看功能 +- 完整的数据查询和导出功能 +- 严格的权限控制和数据安全 + +--- + +## 👥 用户角色分析 + +### 1. 班主任 + +#### 用户画像 + +- **身份**: 学校各班级的任课教师或班主任 +- **职责**: 负责班级学生的日常管理和操行评价 +- **技术水平**: 中等，熟悉办公软件操作 +- **使用频率**: 每月1次（月末录入当月操行分） + +#### 业务需求 + +1. **班级学生查看** + - 查看自己负责班级的学生名单 + - 了解学生基本信息（学号、姓名、性别等） + +2. **操行分录入** + - 选择录入月份（默认为当月） + - 为每位学生录入操行分数（0-100分） + - 添加相应的备注说明 + - 批量保存所有学生的分数 + +3. **历史记录查看** + - 查看本班学生历史操行分记录 + - 了解学生的操行表现变化趋势 + +#### 使用场景 + +- **月末评价**: 每月最后一天，班主任登录系统录入当月操行分 +- **学期总结**: 学期结束前，查看班级整体操行表现情况 +- **学生沟通**: 与学生或家长沟通时参考操行分记录 + +### 2. 学生处管理员 + +#### 用户画像 + +- **身份**: 学校学生处工作人员 +- **职责**: 负责全校学生管理工作和数据统计 +- **技术水平**: 较高，熟悉数据分析和报表制作 +- **使用频率**: 每周1-2次，学期结束时频率更高 + +#### 业务需求 + +1. **学期统计分析** + - 选择学年和学期，查看全校学生操行平均分 + - 按班级、年级等维度进行分组统计 + - 查看优秀、良好、一般等分数段分布 + +2. **数据查询筛选** + - 按班级、姓名等条件筛选学生 + - 查看学生的详细操行分记录 + - 导出统计数据用于报表制作 + +3. **数据导出** + - 导出Excel格式的统计报表 + - 支持自定义导出字段和格式 + +#### 使用场景 + +- **学期考核**: 学期结束时生成学生操行表现统计报表 +- **评优评先**: 为学生评优、奖学金评选提供数据依据 +- **家校沟通**: 为家长会或家访提供学生表现数据 +- **管理工作**: 分析班级管理效果，为教学管理提供参考 + +--- + +## 📋 功能需求清单 + +### 核心功能需求 + +#### F01: 操行分录入管理 + +**优先级**: 高 (P1) +**需求描述**: 班主任每月为班级学生录入操行分数 + +**功能点**: +- F01.1: 选择录入月份（支持选择历史月份补录） +- F01.2: 显示班级学生列表（包含学号、姓名、性别） +- F01.3: 为每位学生录入分数（0.00-100.00，保留2位小数） +- F01.4: 添加备注信息（最多500字符） +- F01.5: 批量保存所有学生的操行分 +- F01.6: 验证数据完整性（分数必填，备注可选） +- F01.7: 防止重复录入（同一学生同月只能录入一次） + +**验收标准**: +- ✅ 可成功录入45人班级的操行分（5分钟内完成） +- ✅ 数据验证完整，分数范围正确 +- ✅ 重复录入时给出明确提示 + +#### F02: 学期平均分统计 + +**优先级**: 高 (P1) +**需求描述**: 自动计算并展示学生的学期操行平均分 + +**功能点**: +- F02.1: 选择学年和学期进行统计 +- F02.2: 显示学生列表及平均分 +- F02.3: 展示统计信息（最高分、最低分、记录次数） +- F02.4: 按班级分组显示 +- F02.5: 支持分页展示（默认每页20条） +- F02.6: 实时计算平均分（基于每月分数） + +**验收标准**: +- ✅ 正确计算学期平均分（6个月分数平均） +- ✅ 统计信息准确（最大值、最小值、记录数） +- ✅ 班级分组清晰，数据排序合理 + +#### F03: 数据查询功能 + +**优先级**: 中 (P2) +**需求描述**: 提供灵活的数据查询和筛选功能 + +**功能点**: +- F03.1: 按学年、学期、月份筛选 +- F03.2: 按学生姓名、班级名称筛选 +- F03.3: 按分数范围筛选（最低分-最高分） +- F03.4: 支持组合条件查询 +- F03.5: 结果列表展示（支持排序） +- F03.6: 详情查看（查看单条记录的详细信息） + +**验收标准**: +- ✅ 多条件组合查询正常工作 +- ✅ 查询结果准确，响应时间<2秒 +- ✅ 列表排序功能正常 + +#### F04: 数据导出功能 + +**优先级**: 中 (P2) +**需求描述**: 支持将统计数据导出为Excel文件 + +**功能点**: +- F04.1: 导出学期平均分统计表 +- F04.2: 支持自定义导出字段 +- F04.3: Excel格式，支持公式计算 +- F04.4: 文件命名规范（包含学年学期信息） + +**验收标准**: +- ✅ 导出文件格式正确，数据完整 +- ✅ 文件名包含必要信息，便于识别 +- ✅ 大数据量导出不影响系统性能 + +### 辅助功能需求 + +#### F05: 权限控制 + +**优先级**: 高 (P1) +**需求描述**: 严格的权限控制，确保数据安全 + +**功能点**: +- F05.1: 班主任只能录入自己班级的学生 +- F05.2: 学生处管理员可查看全校数据 +- F05.3: 操作权限验证（增删改查分离） +- F05.4: 数据隔离（不同用户看到不同数据） + +**验收标准**: +- ✅ 班主任无法录入其他班级学生分数 +- ✅ 管理员可查看所有班级数据 +- ✅ 权限不足时给出明确提示 + +#### F06: 数据验证 + +**优先级**: 高 (P1) +**需求描述**: 完整的数据验证机制 + +**功能点**: +- F06.1: 分数范围验证（0.00-100.00） +- F06.2: 必填字段验证 +- F06.3: 数据类型验证 +- F06.4: 关联数据存在性验证 +- F06.5: 业务规则验证（不可重复录入） + +**验收标准**: +- ✅ 所有验证规则正常工作 +- ✅ 错误信息明确易懂 +- ✅ 验证失败时数据不会保存 + +--- + +## 🔄 业务流程 + +### 主要业务流程 + +#### 班主任录入操行分流程 + +```mermaid +flowchart TD + A[班主任登录系统] --> B[选择操行分录入菜单] + B --> C[选择录入月份] + C --> D[系统加载班级学生列表] + D --> E[班主任录入学生分数和备注] + E --> F{数据验证通过?} + F -->|否| G[显示错误信息，重新录入] + G --> E + F -->|是| H[点击保存按钮] + H --> I[系统批量保存数据] + I --> J{保存成功?} + J -->|否| K[显示保存失败信息] + K --> I + J -->|是| L[显示保存成功提示] + L --> M[返回列表页面或继续其他操作] +``` + +#### 学生处管理员查看统计流程 + +```mermaid +flowchart TD + A[管理员登录系统] --> B[选择操行分统计菜单] + B --> C[选择学年和学期] + C --> D[系统查询统计数据] + D --> E[显示学生平均分列表] + E --> F{需要筛选?} + F -->|是| G[输入筛选条件] + G --> H[重新查询显示] + H --> I[查看详细统计信息] + F -->|否| I + I --> J{需要导出?} + J -->|否| K[查看完毕，结束] + J -->|是| L[选择导出格式] + L --> M[生成并下载文件] + M --> K +``` + +--- + +## 📊 数据需求 + +### 数据录入需求 + +#### 操行分数据字段 + +| 字段名称 | 数据类型 | 必填 | 取值范围 | 说明 | +| -------- | -------- | ---- | -------- | ---- | +| 学年 | 整数 | 是 | 2020-2030 | 如：2024 | +| 学期 | 整数 | 是 | 1-2 | 1=第一学期，2=第二学期 | +| 月份 | 整数 | 是 | 1-12 | 月份 | +| 学生ID | 长整数 | 是 | - | 关联学生表 | +| 班级ID | 长整数 | 是 | - | 关联班级表 | +| 班主任ID | 长整数 | 是 | - | 关联用户表 | +| 操行分数 | 小数 | 是 | 0.00-100.00 | 保留2位小数 | +| 备注 | 文本 | 否 | 最多500字符 | 评价说明 | + +#### 数据约束 + +1. **唯一性约束**: 同一学生在同一学年、学期、月份只能有一条记录 +2. **关联约束**: 学生必须属于班主任负责的班级 +3. **时间约束**: 录入月份不能超过当前月份 +4. **分数约束**: 必须在0-100范围内，允许小数点后2位 + +### 数据查询需求 + +#### 统计数据字段 + +| 字段名称 | 计算方式 | 显示格式 | 说明 | +| -------- | -------- | -------- | ---- | +| 学生基本信息 | 关联查询 | 学号+姓名 | 从学生表获取 | +| 班级信息 | 关联查询 | 班级名称 | 从班级表获取 | +| 学期平均分 | AVG(每月分数) | 保留2位小数 | 6个月分数的平均值 | +| 最高分数 | MAX(每月分数) | 保留2位小数 | 学期内最高分 | +| 最低分数 | MIN(每月分数) | 保留2位小数 | 学期内最低分 | +| 记录次数 | COUNT(*) | 整数 | 有效记录数 | +| 最后更新时间 | MAX(更新时间) | 日期时间 | 数据最后更新时间 | + +### 数据导出需求 + +#### Excel导出格式 + +| 列名 | 数据类型 | 说明 | +| ---- | -------- | ---- | +| 学号 | 文本 | 学生学号 | +| 姓名 | 文本 | 学生姓名 | +| 性别 | 文本 | 男/女 | +| 班级 | 文本 | 班级名称 | +| 学期平均分 | 数值 | 保留2位小数 | +| 最高分 | 数值 | 学期最高分 | +| 最低分 | 数值 | 学期最低分 | +| 记录次数 | 数值 | 有效记录数 | + +--- + +## 🎯 非功能需求 + +### 性能需求 + +1. **响应时间** + - 页面加载：< 3秒 + - 数据查询：< 2秒 + - 数据保存：< 5秒（批量保存45人数据） + +2. **并发处理** + - 支持同时在线用户：50人 + - 支持并发录入：10人同时录入 + +3. **数据量** + - 支持学生数：5000人 + - 支持历史数据：3年 + +### 安全性需求 + +1. **权限控制** + - 班主任数据隔离：只能操作本班数据 + - 操作审计：记录所有数据变更操作 + - 登录验证：必须登录才能操作 + +2. **数据安全** + - 数据加密：敏感数据加密存储 + - 数据备份：定期自动备份 + - 数据恢复：支持数据恢复 + +### 易用性需求 + +1. **界面设计** + - 简洁直观的操作界面 + - 清晰的数据展示格式 + - 友好的错误提示信息 + +2. **操作便捷** + - 批量操作支持 + - 快捷键支持（Enter键切换输入框） + - 数据验证实时提示 + +### 可维护性需求 + +1. **代码结构** + - 模块化设计，职责分离 + - 统一的编码规范 + - 完整的注释文档 + +2. **日志记录** + - 操作日志：记录用户操作 + - 错误日志：记录系统异常 + - 审计日志：记录数据变更 + +--- + +## 🔄 业务规则 + +### 录入规则 + +1. **时间规则** + - 每月最后3天可以录入当月分数 + - 可以补录之前月份的分数（班主任权限） + - 不能录入未来月份的分数 + +2. **权限规则** + - 班主任只能录入自己负责班级的学生 + - 同一学生每月只能被录入一次分数 + - 录入后可以修改，但需要记录修改历史 + +3. **数据规则** + - 分数必须在0-100范围内 + - 备注信息最多500字符 + - 所有必填字段必须填写完整 + +### 统计规则 + +1. **计算规则** + - 学期平均分 = 6个月分数的算术平均值 + - 如果某月缺失分数，该月不计入平均分计算 + - 平均分保留2位小数 + +2. **展示规则** + - 按班级分组显示 + - 按平均分降序排列 + - 显示统计概览信息 + +--- + +## 📋 验收标准 + +### 功能验收标准 + +1. **操行分录入功能** + - ✅ 班主任可成功录入45人班级的所有操行分 + - ✅ 数据验证完整，错误信息明确 + - ✅ 重复录入时正确提示并阻止 + +2. **统计功能** + - ✅ 学期平均分计算正确 + - ✅ 统计数据展示完整 + - ✅ 查询筛选功能正常 + +3. **权限控制** + - ✅ 班主任只能看到自己班级数据 + - ✅ 管理员可查看全校数据 + - ✅ 权限不足时正确提示 + +### 性能验收标准 + +1. **响应时间** + - ✅ 页面加载时间 < 3秒 + - ✅ 数据查询时间 < 2秒 + - ✅ 批量保存时间 < 5秒 + +2. **并发性能** + - ✅ 支持10个用户同时录入 + - ✅ 系统响应正常，无明显卡顿 + +### 兼容性验收标准 + +1. **浏览器兼容** + - ✅ Chrome 80+ + - ✅ Firefox 75+ + - ✅ Edge 80+ + +2. **移动端适配** + - ✅ 支持主流移动设备 + - ✅ 响应式布局正常 + +--- + +## 📞 需求确认 + +### 需求评审记录 + +| 评审时间 | 评审人员 | 评审内容 | 评审结果 | +| -------- | -------- | -------- | -------- | +| 2025-01-13 | 产品经理、开发团队、班主任代表、学生处管理员 | 业务需求说明 | ✅ 通过 | + +### 需求变更记录 + +| 变更时间 | 变更内容 | 变更原因 | 影响评估 | +| -------- | -------- | -------- | -------- | +| - | - | - | - | + +--- + +## 📋 相关文档 + +- **技术设计**: `../技术设计/数据库设计.md` +- **API接口**: `../技术设计/API接口设计.md` +- **用户故事**: `用户故事.md` +- **非功能需求**: `非功能需求.md` + +--- + +**最后更新**: 2025-01-13 +**需求版本**: v1.0 +**确认状态**: ✅ 已确认 diff --git a/docs/开发文档/API/学生操行分管理API.md b/docs/开发文档/API/学生操行分管理API.md new file mode 100644 index 00000000..41d750b8 --- /dev/null +++ b/docs/开发文档/API/学生操行分管理API.md @@ -0,0 +1,563 @@ +# 学生操行分管理API + +## 📋 文档说明 + +**版本**: v1.0 +**制定时间**: 2025-01-13 +**适用范围**: 学生操行分管理模块API接口 +**重要性**: ⚠️ **强制性规范** - API设计必须遵循项目统一接口规范 + +--- + +## 🎯 设计原则 + +### 1. RESTful设计 +- 使用标准的HTTP方法（GET、POST、PUT、DELETE） +- 资源路径清晰，层次分明 +- 状态码规范，返回信息明确 + +### 2. 统一响应格式 +- 所有接口返回统一的JSON格式 +- 包含状态码、消息、数据三个部分 +- 分页查询使用统一的TableDataInfo格式 + +### 3. 权限控制 +- 每个接口必须有@SaCheckPermission注解 +- 班主任只能操作自己班级的学生 +- 学生处管理员可查看全校数据 + +--- + +## 🔌 接口概览 + +### 接口分类 + +#### 基础CRUD接口 + +| 接口名称 | 请求方式 | 路径 | 权限字符 | 功能描述 | +| -------- | -------- | ---- | -------- | -------- | +| 查询操行分列表 | GET | /api/xg/conduct-score/list | xg:conduct:score:list | 分页查询操行分记录 | +| 查询操行分详情 | GET | /api/xg/conduct-score/{id} | xg:conduct:score:query | 根据ID查询操行分详情 | +| 新增操行分 | POST | /api/xg/conduct-score | xg:conduct:score:add | 创建新的操行分记录 | +| 更新操行分 | PUT | /api/xg/conduct-score/{id} | xg:conduct:score:edit | 更新指定操行分记录 | +| 删除操行分 | DELETE | /api/xg/conduct-score/{ids} | xg:conduct:score:remove | 删除指定操行分记录 | + +#### 业务逻辑接口 + +| 接口名称 | 请求方式 | 路径 | 权限字符 | 功能描述 | +| -------- | -------- | ---- | -------- | -------- | +| 批量录入操行分 | POST | /api/xg/conduct-score/batch | xg:conduct:score:batchAdd | 批量保存操行分 | +| 班主任班级学生 | GET | /api/xg/conduct-score/class-students | xg:conduct:score:classStudents | 获取班主任班级学生列表 | +| 学期平均分统计 | GET | /api/xg/conduct-score/semester-average | xg:conduct:score:semester | 查询学期平均分 | +| 导出学期统计 | GET | /api/xg/conduct-score/export-semester | xg:conduct:score:export | 导出学期统计数据 | +| 验证录入权限 | GET | /api/xg/conduct-score/check-permission | xg:conduct:score:checkPermission | 检查班主任录入权限 | +| 获取学生详细记录 | GET | /api/xg/conduct-score/student-records/{studentId} | xg:conduct:score:studentRecords | 获取学生学期内每月操行分详情 | + +--- + +## 📝 接口详细设计 + +### 1. 查询操行分列表 + +#### 接口信息 +- **请求方式**: GET +- **接口路径**: `/api/xg/conduct-score/list` +- **权限字符**: `xg:conduct:score:list` +- **接口描述**: 分页查询操行分记录列表 + +#### 请求参数 +| 参数名 | 类型 | 必填 | 说明 | +| ------ | ---- | ---- | ---- | +| academicYear | Integer | 否 | 学年（如：2024） | +| semester | Integer | 否 | 学期（1-第一学期，2-第二学期） | +| month | Integer | 否 | 月份（1-12） | +| studentName | String | 否 | 学生姓名 | +| className | String | 否 | 班级名称 | +| scoreMin | BigDecimal | 否 | 最低分数 | +| scoreMax | BigDecimal | 否 | 最高分数 | +| pageNum | Integer | 否 | 当前页码（默认1） | +| pageSize | Integer | 否 | 每页显示数量（默认10） | + +#### 响应格式 +```json +{ + "code": 200, + "msg": "查询成功", + "data": { + "total": 100, + "rows": [ + { + "id": 1234567890123456789, + "academicYear": 2024, + "semester": 1, + "month": 9, + "studentId": 987654321098765432, + "studentName": "张三", + "studentNo": "2024001", + "classId": 876543210987654321, + "className": "计算机应用1班", + "classTeacherId": 765432109876543210, + "classTeacherName": "李老师", + "score": 95.50, + "remark": "表现优秀，积极参加班级活动", + "createTime": "2024-09-01 10:00:00", + "createBy": "李老师" + } + ], + "code": 200, + "msg": "查询成功" + } +} +``` + +### 2. 批量录入操行分 + +#### 接口信息 +- **请求方式**: POST +- **接口路径**: `/api/xg/conduct-score/batch` +- **权限字符**: `xg:conduct:score:batchAdd` +- **接口描述**: 批量保存操行分记录 + +#### 请求参数 +```json +{ + "academicYear": 2024, + "semester": 1, + "month": 9, + "classId": 876543210987654321, + "scores": [ + { + "studentId": 987654321098765432, + "score": 95.50, + "remark": "表现优秀，积极参加班级活动" + }, + { + "studentId": 987654321098765433, + "score": 88.00, + "remark": "表现良好，需要继续努力" + } + ] +} +``` + +#### 参数说明 +| 参数名 | 类型 | 必填 | 说明 | +| ------ | ---- | ---- | ---- | +| academicYear | Integer | 是 | 学年（如：2024） | +| semester | Integer | 是 | 学期（1-第一学期，2-第二学期） | +| month | Integer | 是 | 月份（1-12） | +| classId | Long | 是 | 班级ID | +| scores | Array | 是 | 操行分记录数组 | +| └─studentId | Long | 是 | 学生ID | +| └─score | BigDecimal | 是 | 操行分数（0.00-100.00） | +| └─remark | String | 否 | 备注信息 | + +#### 响应格式 +```json +{ + "code": 200, + "msg": "批量录入成功", + "data": { + "successCount": 45, + "failCount": 0, + "failList": [] + } +} +``` + +### 3. 班主任班级学生列表 + +#### 接口信息 +- **请求方式**: GET +- **接口路径**: `/api/xg/conduct-score/class-students` +- **权限字符**: `xg:conduct:score:classStudents` +- **接口描述**: 获取班主任负责的所有班级及学生列表，用于多Tab页展示 + +#### 请求参数 +| 参数名 | 类型 | 必填 | 说明 | +| ------ | ---- | ---- | ---- | +| academicYear | Integer | 否 | 学年（如：2024） | +| semester | Integer | 否 | 学期（1-第一学期，2-第二学期） | +| month | Integer | 否 | 月份（1-12） | + +#### 响应格式 +```json +{ + "code": 200, + "msg": "查询成功", + "data": { + "classes": [ + { + "classId": 876543210987654321, + "className": "计算机1班", + "classCode": "JSJ202401", + "studentCount": 45, + "enrollmentYear": 2024, + "majorName": "计算机应用技术", + "students": [ + { + "studentId": 987654321098765432, + "studentNo": "2024001", + "studentName": "张三", + "gender": "0", + "existingScore": null, + "lastScore": 95.50, + "lastMonth": 8 + }, + { + "studentId": 987654321098765433, + "studentNo": "2024002", + "studentName": "李四", + "gender": "1", + "existingScore": { + "id": 1234567890123456789, + "score": 88.00, + "remark": "表现良好", + "createTime": "2024-09-01 09:00:00" + }, + "lastScore": 90.00, + "lastMonth": 8 + } + ] + } + ], + "summary": { + "totalClasses": 3, + "totalStudents": 125, + "recordedStudents": 87, + "pendingStudents": 38, + "completionRate": 69.6 + } + } +} +``` + +### 4. 学期平均分统计 + +#### 接口信息 +- **请求方式**: GET +- **接口路径**: `/api/xg/conduct-score/semester-average` +- **权限字符**: `xg:conduct:score:semester` +- **接口描述**: 查询学生的学期操行平均分 + +#### 请求参数 +| 参数名 | 类型 | 必填 | 说明 | +| ------ | ---- | ---- | ---- | +| academicYear | Integer | 是 | 学年（如：2024） | +| semester | Integer | 是 | 学期（1-第一学期，2-第二学期） | +| className | String | 否 | 班级名称筛选 | +| studentName | String | 否 | 学生姓名筛选 | +| pageNum | Integer | 否 | 当前页码（默认1） | +| pageSize | Integer | 否 | 每页显示数量（默认10） | + +#### 响应格式 +```json +{ + "code": 200, + "msg": "查询成功", + "data": { + "total": 500, + "rows": [ + { + "studentId": 987654321098765432, + "studentNo": "2024001", + "studentName": "张三", + "gender": "0", + "classId": 876543210987654321, + "className": "计算机应用1班", + "academicYear": 2024, + "semester": 1, + "avgScore": 92.83, + "recordCount": 6, + "maxScore": 98.00, + "minScore": 88.00, + "scoreRange": "88.00-98.00", + "lastUpdateTime": "2024-09-30 16:00:00" + } + ], + "summary": { + "totalStudents": 500, + "avgScore": 85.67, + "excellentCount": 120, + "goodCount": 280, + "averageCount": 85, + "needImprovementCount": 15 + }, + "code": 200, + "msg": "查询成功" + } +} +``` + +### 5. 获取学生详细记录 + +#### 接口信息 +- **请求方式**: GET +- **接口路径**: `/api/xg/conduct-score/student-records/{studentId}` +- **权限字符**: `xg:conduct:score:studentRecords` +- **接口描述**: 获取指定学生在某学期内1-12月份的操行分详细记录，没有数据的月份显示为空 + +#### 请求参数 +| 参数名 | 类型 | 必填 | 说明 | +| ------ | ---- | ---- | ---- | +| studentId | Long | 是 | 学生ID（路径参数） | +| academicYear | Integer | 否 | 学年（如：2024） | +| semester | Integer | 否 | 学期（1-第一学期，2-第二学期） | +| tenantId | String | 是 | 租户ID（多租户支持） | + +#### 响应格式 +```json +{ + "code": 200, + "msg": "查询成功", + "data": { + "studentId": 987654321098765432, + "studentNo": "2024001", + "studentName": "张三", + "gender": "0", + "classId": 876543210987654321, + "className": "计算机应用1班", + "classTeacherId": 765432109876543210, + "classTeacherName": "李老师", + "semesterAverage": 92.83, + "totalRecords": 6, + "records": [ + { + "id": 1234567890123456789, + "academicYear": 2024, + "semester": 1, + "month": 9, + "score": 95.50, + "remark": "表现优秀，积极参加班级活动", + "createBy": 765432109876543210, + "createByName": "李老师", + "createTime": "2024-09-01 10:00:00", + "updateBy": 765432109876543210, + "updateByName": "李老师", + "updateTime": "2024-09-01 10:00:00" + }, + { + "id": 1234567890123456790, + "academicYear": 2024, + "semester": 1, + "month": 10, + "score": 92.00, + "remark": "表现良好，继续保持", + "createBy": 765432109876543210, + "createByName": "李老师", + "createTime": "2024-10-01 09:30:00", + "updateBy": 765432109876543210, + "updateByName": "李老师", + "updateTime": "2024-10-01 09:30:00" + } + ] + } +} +``` + +#### 数据说明 +- `records` 数组：包含该学生该学期内所有有数据的月份记录 +- 没有数据的月份不会出现在 `records` 数组中，前端需要生成1-12月的完整列表 +- `semesterAverage`：该学生该学期的平均分 +- `totalRecords`：该学生该学期录入的总记录数 + +--- + +## 🔒 权限控制设计 + +### 权限字符定义 + +```java +// 操行分管理权限 +xg:conduct:score:list // 查看操行分列表 +xg:conduct:score:query // 查看操行分详情 +xg:conduct:score:add // 新增操行分 +xg:conduct:score:edit // 编辑操行分 +xg:conduct:score:remove // 删除操行分 +xg:conduct:score:batchAdd // 批量录入操行分 +xg:conduct:score:classStudents // 查看班主任班级学生 +xg:conduct:score:semester // 学期统计查看 +xg:conduct:score:export // 数据导出 +xg:conduct:score:studentRecords // 获取学生详细记录 +``` + +### 权限控制逻辑 + +#### 班主任权限控制 +```java +@SaCheckPermission("xg:conduct:score:classStudents") +@GetMapping("/class-students") +public AjaxResult getClassStudents(@RequestParam Integer academicYear, + @RequestParam Integer semester, + @RequestParam Integer month) { + // 获取当前登录用户ID + Long userId = SecurityUtils.getUserId(); + + // 从 xg_class_msg 表查询该用户作为班主任的所有班级 + // WHERE class_teacher_id = #{userId} AND deleted = 0 + List classIds = conductScoreService.getTeacherClassIds(userId); + + // 返回按班级分组的学生信息，用于前端生成Tab页 + return AjaxResult.success(conductScoreService.getClassStudentsByTeacher(academicYear, semester, month)); +} +``` + +#### 管理员权限控制 +```java +@SaCheckPermission("xg:conduct:score:semester") +@GetMapping("/semester-average") +public TableDataInfo getSemesterAverage(@RequestParam Integer academicYear, + @RequestParam Integer semester, + XgConductScoreQueryBo queryBo, + PageQuery pageQuery) { + // 管理员可以查看全校数据，无班级限制 + return xgConductScoreService.getSemesterAverage(academicYear, semester, queryBo, pageQuery); +} +``` + +--- + +## 📊 数据验证规则 + +### 请求参数验证 + +```java +public class XgConductScoreBatchBo { + @NotNull(message = "学年不能为空") + @Min(value = 2020, message = "学年不能小于2020") + @Max(value = 2030, message = "学年不能大于2030") + private Integer academicYear; + + @NotNull(message = "学期不能为空") + @Min(value = 1, message = "学期只能是1或2") + @Max(value = 2, message = "学期只能是1或2") + private Integer semester; + + @NotNull(message = "月份不能为空") + @Min(value = 1, message = "月份范围为1-12") + @Max(value = 12, message = "月份范围为1-12") + private Integer month; + + @NotNull(message = "班级ID不能为空") + private Long classId; + + @NotEmpty(message = "操行分记录不能为空") + @Size(min = 1, max = 100, message = "一次最多录入100条记录") + @Valid + private List scores; +} +``` + +### 业务逻辑验证 + +#### 班主任权限验证 +```java +private void validateTeacherPermission(Long classId, Long teacherId) { + // 验证班主任是否负责该班级 + boolean isResponsible = conductScoreService.checkTeacherClass(teacherId, classId); + if (!isResponsible) { + throw new ServiceException("您不是该班级的班主任，无权录入操行分"); + } +} +``` + +#### 重复录入验证 +```java +private void validateNoDuplicate(Long studentId, Integer academicYear, + Integer semester, Integer month) { + // 检查是否已存在该学生的当月记录 + boolean exists = conductScoreService.existsByStudentAndMonth( + studentId, academicYear, semester, month); + + if (exists) { + throw new ServiceException("该学生当月操行分已录入，不可重复录入"); + } +} +``` + +--- + +## 🔄 错误码设计 + +### 业务级错误码 + +| 错误码 | 说明 | +| ------ | ---- | +| 1001 | 班主任权限不足 | +| 1002 | 学生不存在 | +| 1003 | 班级不存在 | +| 1004 | 操行分已存在，不可重复录入 | +| 1005 | 分数范围错误 | +| 1006 | 时间参数错误 | + +### 错误响应格式 +```json +{ + "code": 1001, + "msg": "您不是该班级的班主任，无权录入操行分", + "data": null +} +``` + +--- + +## 📈 性能优化 + +### 接口性能指标 +- **响应时间**: 平均 < 200ms，95% < 500ms +- **并发处理**: 支持 100+ 并发请求 +- **数据量**: 支持万人规模数据查询 + +### 缓存策略 +```java +// 学期统计缓存 +@Cacheable(value = "conductScoreStats", key = "#academicYear + '_' + #semester") +public List getSemesterAverage(Integer academicYear, Integer semester) { + // 查询逻辑 +} +``` + +--- + +## 🧪 接口测试 + +### 测试用例设计 + +#### 正常流程测试 +```bash +# 批量录入操行分 +curl -X POST "http://localhost:8080/api/xg/conduct-score/batch" \ + -H "Authorization: Bearer {token}" \ + -H "Content-Type: application/json" \ + -d '{ + "academicYear": 2024, + "semester": 1, + "month": 9, + "classId": 876543210987654321, + "scores": [ + {"studentId": 987654321098765432, "score": 95.5, "remark": "优秀"} + ] + }' +``` + +#### 异常流程测试 +```bash +# 权限不足测试 +curl -X GET "http://localhost:8080/api/xg/conduct-score/class-students" \ + -H "Authorization: Bearer {invalid_token}" +# 响应: {"code": 403, "msg": "权限不足", "data": null} +``` + +--- + +## 📚 相关文档 + +- **数据库设计**: `../技术设计/数据库设计.md` +- **前端设计**: `../前端设计/界面原型图.md` +- **项目API总览**: `API文档总览.md` + +--- + +**最后更新**: 2025-01-13 +**接口版本**: v1.0 +**兼容性**: 向后兼容 diff --git a/web/src/api/xg/conductScore.ts b/web/src/api/xg/conductScore.ts new file mode 100644 index 00000000..3d2c5de7 --- /dev/null +++ b/web/src/api/xg/conductScore.ts @@ -0,0 +1,125 @@ +import request from '@/utils/request' + +// 查询操行分列表 +export function conductScoreList(query: any) { + return request({ + url: '/xg/conduct-score/list', + method: 'get', + params: query + }) +} + +// 根据部门ID查询操行分列表（带权限过滤） +export function conductScoreListByDeptId(query: any) { + return request({ + url: '/xg/conduct-score/listByDeptId', + method: 'post', + data: query + }) +} + +// 查询操行分详细 +export function conductScoreInfo(id: any) { + return request({ + url: '/xg/conduct-score/' + id, + method: 'get' + }) +} + +// 新增操行分 +export function conductScoreAdd(data: any) { + return request({ + url: '/xg/conduct-score', + method: 'post', + data: data + }) +} + +// 修改操行分 +export function conductScoreEdit(data: any) { + return request({ + url: '/xg/conduct-score/' + data.id, + method: 'put', + data: data + }) +} + +// 删除操行分 +export function conductScoreRemove(ids: any) { + return request({ + url: '/xg/conduct-score/' + ids, + method: 'delete' + }) +} + +// 导出操行分 +export function conductScoreExport(query: any) { + return request({ + url: '/xg/conduct-score/export', + method: 'post', + params: query + }) +} + +// 批量录入操行分 +export function conductScoreBatchAdd(data: any) { + return request({ + url: '/xg/conduct-score/batch', + method: 'post', + data: data + }) +} + +// 获取班主任负责的班级学生列表 +export function conductScoreClassStudents(query: any) { + return request({ + url: '/xg/conduct-score/class-students', + method: 'get', + params: query + }) +} + +// 查询学期平均分统计 +export function conductScoreSemesterAverage(query: any) { + return request({ + url: '/xg/conduct-score/semester-average', + method: 'get', + params: query + }) +} + +// 根据部门ID查询学期平均分统计（带权限过滤） +export function conductScoreSemesterAverageByDeptId(query: any) { + return request({ + url: '/xg/conduct-score/semester-average-by-dept-id', + method: 'post', + data: query + }) +} + +// 导出学期统计数据 +export function conductScoreExportSemester(query: any) { + return request({ + url: '/xg/conduct-score/export-semester', + method: 'get', + params: query + }) +} + +// 验证录入权限 +export function conductScoreCheckPermission(query: any) { + return request({ + url: '/xg/conduct-score/check-permission', + method: 'get', + params: query + }) +} + +// 获取学生详细记录（按月份） +export function conductScoreGetStudentRecords(studentId: any, academicYear: any, semester: any, tenantId: any) { + return request({ + url: `/xg/conduct-score/student-records/${studentId}`, + method: 'get', + params: { academicYear, semester, tenantId } + }) +} diff --git a/web/src/views/xg/xsjcxx/ConductScoreInput/index.vue b/web/src/views/xg/xsjcxx/ConductScoreInput/index.vue new file mode 100644 index 00000000..74f38103 --- /dev/null +++ b/web/src/views/xg/xsjcxx/ConductScoreInput/index.vue @@ -0,0 +1,792 @@ + + + + + diff --git a/web/src/views/xg/xsjcxx/ConductScoreQuery/index.vue b/web/src/views/xg/xsjcxx/ConductScoreQuery/index.vue new file mode 100644 index 00000000..1d0f6126 --- /dev/null +++ b/web/src/views/xg/xsjcxx/ConductScoreQuery/index.vue @@ -0,0 +1,1309 @@ + + + + + diff --git a/web/src/views/xg/xsjcxx/SemesterStatistics/index.vue b/web/src/views/xg/xsjcxx/SemesterStatistics/index.vue new file mode 100644 index 00000000..1b924acc --- /dev/null +++ b/web/src/views/xg/xsjcxx/SemesterStatistics/index.vue @@ -0,0 +1,1318 @@ + + + + + diff --git a/web/src/views/xg/xsjcxx/studentMsg/studentMsg/index.vue b/web/src/views/xg/xsjcxx/studentMsg/studentMsg/index.vue index 98383520..10017d36 100644 --- a/web/src/views/xg/xsjcxx/studentMsg/studentMsg/index.vue +++ b/web/src/views/xg/xsjcxx/studentMsg/studentMsg/index.vue @@ -115,19 +115,19 @@ - + 退学 - + 休学 - + 复学 - + 毕业 - + 换班级 diff --git a/学校学生操行历史数据迁移/01_import_excel_to_temp.py b/学校学生操行历史数据迁移/01_import_excel_to_temp.py new file mode 100644 index 00000000..d3c32ff1 --- /dev/null +++ b/学校学生操行历史数据迁移/01_import_excel_to_temp.py @@ -0,0 +1,367 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +学生操行分历史数据迁移 - 脚本1：Excel数据导入临时表 + +功能说明： +- 读取操行.xls文件 +- 数据清洗和验证 +- 导入到temp_conduct_score_import临时表 + +执行方式： +python 01_import_excel_to_temp.py + +注意事项： +- 执行前确保Excel文件存在 +- 执行前确保临时表已创建 +- 支持断点续传（已导入的数据会跳过） +""" + +from __future__ import annotations + +import argparse +import logging +import sys +import time +from datetime import datetime +from pathlib import Path +from typing import Any, Dict, List, Optional + +import pandas as pd +import pymysql +from pymysql.cursors import DictCursor + +from db_config import DB_CONFIG, TABLE_CONFIG, CONSTANTS + +# 配置日志 +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s %(levelname)s %(message)s", + handlers=[ + logging.StreamHandler(sys.stdout), + logging.FileHandler("logs/01_import_excel.log", mode='a', encoding='utf-8') + ] +) +logger = logging.getLogger("import_excel") + +class ExcelImporter: + """Excel导入处理器""" + + def __init__(self, excel_file: str): + self.excel_file = excel_file + self.db_config = DB_CONFIG + self.temp_table = TABLE_CONFIG["temp_import"] + self.batch_size = CONSTANTS["BATCH_SIZE"] + self.connection = None + + def connect_db(self) -> None: + """连接数据库""" + try: + self.connection = pymysql.connect(**self.db_config) + logger.info("数据库连接成功") + except Exception as e: + logger.error(f"数据库连接失败: {e}") + raise + + def disconnect_db(self) -> None: + """断开数据库连接""" + if self.connection: + self.connection.close() + logger.info("数据库连接已断开") + + def read_excel_data(self) -> pd.DataFrame: + """读取Excel文件""" + try: + logger.info(f"开始读取Excel文件: {self.excel_file}") + + # 检查文件是否存在 + if not Path(self.excel_file).exists(): + raise FileNotFoundError(f"Excel文件不存在: {self.excel_file}") + + # 读取Excel文件 + df = pd.read_excel(self.excel_file) + + logger.info(f"Excel文件读取成功，共{len(df)}行数据") + logger.info(f"列名: {list(df.columns)}") + + return df + + except Exception as e: + logger.error(f"读取Excel文件失败: {e}") + raise + + def validate_data(self, df: pd.DataFrame) -> pd.DataFrame: + """数据验证和清洗""" + logger.info("开始数据验证和清洗") + + # 检查必需列 + required_columns = ['学号', '学年', '学期', '平时分数'] + missing_columns = [col for col in required_columns if col not in df.columns] + if missing_columns: + raise ValueError(f"Excel文件缺少必需列: {missing_columns}") + + # 数据清洗 + original_count = len(df) + + # 删除空行（学号为空的行） + df = df.dropna(subset=['学号']) + logger.info(f"删除空学号行: {original_count - len(df)}行") + + # 去除学号前后的空格 + df.loc[:, '学号'] = df['学号'].astype(str).str.strip() + + # 删除重复的学号+学年+学期记录（保留第一条） + before_dedupe = len(df) + df = df.drop_duplicates(subset=['学号', '学年', '学期'], keep='first') + logger.info(f"删除重复记录: {before_dedupe - len(df)}行") + + # 验证学年格式 + df.loc[:, 'academic_year_valid'] = df['学年'].astype(str).str.match(r'^\d{4}-\d{4}$') + invalid_years = df[~df['academic_year_valid']] + if len(invalid_years) > 0: + logger.warning(f"发现{len(invalid_years)}条学年格式不正确的记录:") + for idx, row in invalid_years.head(5).iterrows(): + logger.warning(f" 行{idx+2}: 学号={row['学号']}, 学年={row['学年']}") + + # 验证学期格式 + valid_semesters = ['第一学期', '第二学期'] + df.loc[:, 'semester_valid'] = df['学期'].isin(valid_semesters) + invalid_semesters = df[~df['semester_valid']] + if len(invalid_semesters) > 0: + logger.warning(f"发现{len(invalid_semesters)}条学期格式不正确的记录:") + for idx, row in invalid_semesters.head(5).iterrows(): + logger.warning(f" 行{idx+2}: 学号={row['学号']}, 学期={row['学期']}") + + # 验证平时分数格式（非空且包含冒号） + df.loc[:, 'monthly_scores_valid'] = df['平时分数'].astype(str).str.contains(':') + invalid_scores = df[~df['monthly_scores_valid']] + if len(invalid_scores) > 0: + logger.warning(f"发现{len(invalid_scores)}条平时分数格式不正确的记录:") + for idx, row in invalid_scores.head(5).iterrows(): + logger.warning(f" 行{idx+2}: 学号={row['学号']}, 平时分数={row['平时分数']}") + + # 验证数值范围 + df.loc[:, 'final_score_valid'] = True + final_scores = pd.to_numeric(df['最终分'], errors='coerce') + + # 检查最终分范围 (decimal(5,2) 最大999.99) + invalid_final_scores = final_scores[(final_scores < 0) | (final_scores > 999.99)] + if len(invalid_final_scores) > 0: + df.loc[:, 'final_score_valid'] = ~final_scores.isin(invalid_final_scores) + logger.warning(f"发现{len(invalid_final_scores)}条最终分数值超出范围(0-999.99):") + for idx in invalid_final_scores.head(5).index: + logger.warning(f" 行{idx+2}: 学号={df.loc[idx, '学号']}, 最终分={final_scores.loc[idx]}") + + # 统计验证结果 + valid_count = len(df[df['academic_year_valid'] & df['semester_valid'] & df['monthly_scores_valid'] & df['final_score_valid']]) + logger.info(f"数据验证完成: 总计{len(df)}行，验证通过{valid_count}行") + + # 处理超出范围的数值 + df.loc[:, '最终分'] = final_scores.clip(0, 999.99) # 将超出范围的值截断到有效范围 + + # 清理临时列 + df = df.drop(columns=['academic_year_valid', 'semester_valid', 'monthly_scores_valid', 'final_score_valid']) + + return df + + def check_existing_data(self, student_nos: List[str]) -> set: + """检查已存在的学号""" + try: + with self.connection.cursor() as cursor: + # 分批查询已存在的学号 + existing_nos = set() + batch_size = 1000 + + for i in range(0, len(student_nos), batch_size): + batch = student_nos[i:i+batch_size] + placeholders = ','.join(['%s'] * len(batch)) + + sql = f""" + SELECT DISTINCT student_no + FROM {self.temp_table} + WHERE student_no IN ({placeholders}) + """ + + cursor.execute(sql, batch) + results = cursor.fetchall() + existing_nos.update([row[0] for row in results]) + + logger.info(f"检查到{len(existing_nos)}个学号已存在，将跳过导入") + return existing_nos + + except Exception as e: + logger.error(f"检查已存在数据失败: {e}") + return set() + + def insert_batch(self, batch_data: List[Dict[str, Any]]) -> tuple[int, int]: + """批量插入数据""" + if not batch_data: + return 0, 0 + + try: + with self.connection.cursor() as cursor: + sql = """ + INSERT INTO {table} ( + student_no, student_name, gender, ethnicity, + academic_year_str, semester_str, monthly_scores, + final_score, grade_level, department, major, + class_name, grade, import_status + ) VALUES ( + %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, 'pending' + ) + """.format(table=self.temp_table) + + values = [] + for row in batch_data: + # 处理NaN值和数值范围，转换为None或合适的值 + def safe_value(key, default='', is_numeric=False): + val = row.get(key, default) + if pd.isna(val): + return None + if is_numeric and isinstance(val, (int, float)): + # 对于数值字段，确保在有效范围内 + if key == '最终分': + return max(0, min(999.99, float(val))) + return val + + values.append(( + safe_value('学号', ''), + safe_value('姓名', ''), + safe_value('性别', ''), + safe_value('民族', ''), + safe_value('学年', ''), + safe_value('学期', ''), + safe_value('平时分数', ''), + safe_value('最终分', is_numeric=True), # 数值字段，NaN转换为None + safe_value('等级', ''), + safe_value('院系', ''), + safe_value('专业', ''), + safe_value('班级', ''), + safe_value('年级', '') + )) + + cursor.executemany(sql, values) + self.connection.commit() + + return len(batch_data), 0 + + except Exception as e: + logger.error(f"批量插入失败: {e}") + self.connection.rollback() + return 0, len(batch_data) + + def import_data(self, df: pd.DataFrame) -> Dict[str, Any]: + """导入数据到临时表""" + logger.info("开始导入数据到临时表") + + # 获取所有学号 + student_nos = df['学号'].tolist() + + # 检查已存在的数据 + existing_nos = self.check_existing_data(student_nos) + + # 过滤掉已存在的数据 + df_to_import = df[~df['学号'].isin(existing_nos)] + skipped_count = len(df) - len(df_to_import) + + logger.info(f"准备导入{len(df_to_import)}行数据，跳过{skipped_count}行已存在数据") + + if len(df_to_import) == 0: + logger.info("没有需要导入的新数据") + return { + 'total': len(df), + 'skipped': skipped_count, + 'imported': 0, + 'failed': 0 + } + + # 批量导入 + total_imported = 0 + total_failed = 0 + + for i in range(0, len(df_to_import), self.batch_size): + batch_df = df_to_import.iloc[i:i+self.batch_size] + batch_data = batch_df.to_dict('records') + + imported, failed = self.insert_batch(batch_data) + total_imported += imported + total_failed += failed + + logger.info(f"处理进度: {min(i+self.batch_size, len(df_to_import))}/{len(df_to_import)} " + f"(成功:{total_imported}, 失败:{total_failed})") + + result = { + 'total': len(df), + 'skipped': skipped_count, + 'imported': total_imported, + 'failed': total_failed + } + + logger.info(f"数据导入完成: {result}") + return result + + def run(self) -> bool: + """执行导入流程""" + start_time = time.time() + + try: + # 连接数据库 + self.connect_db() + + # 读取Excel数据 + df = self.read_excel_data() + + # 数据验证和清洗 + df = self.validate_data(df) + + # 导入数据 + result = self.import_data(df) + + # 输出统计信息 + logger.info("="*50) + logger.info("导入统计结果:") + logger.info(f" 总记录数: {result['total']}") + logger.info(f" 跳过已存在: {result['skipped']}") + logger.info(f" 成功导入: {result['imported']}") + logger.info(f" 导入失败: {result['failed']}") + logger.info(f"导入总耗时: {elapsed_time:.1f}秒") + logger.info("="*50) + + return result['failed'] == 0 + + except Exception as e: + logger.error(f"导入过程出现错误: {e}") + return False + + finally: + self.disconnect_db() + elapsed_time = time.time() - start_time + logger.info(f"导入总耗时: {elapsed_time:.1f}秒") +def main(): + """主函数""" + parser = argparse.ArgumentParser(description='学生操行分历史数据 - Excel导入临时表') + parser.add_argument('--excel', default=CONSTANTS["EXCEL_FILE"], + help=f'Excel文件路径 (默认: {CONSTANTS["EXCEL_FILE"]})') + + args = parser.parse_args() + + logger.info("="*60) + logger.info("学生操行分历史数据迁移 - 脚本1：Excel导入临时表") + logger.info("="*60) + + # 创建logs目录 + Path("logs").mkdir(exist_ok=True) + + # 执行导入 + importer = ExcelImporter(args.excel) + success = importer.run() + + if success: + logger.info("✅ Excel数据导入完成") + sys.exit(0) + else: + logger.error("❌ Excel数据导入失败") + sys.exit(1) + +if __name__ == "__main__": + main() diff --git a/学校学生操行历史数据迁移/02_parse_score_data.py b/学校学生操行历史数据迁移/02_parse_score_data.py new file mode 100644 index 00000000..6e239218 --- /dev/null +++ b/学校学生操行历史数据迁移/02_parse_score_data.py @@ -0,0 +1,440 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +学生操行分历史数据迁移 - 脚本2：数据解析处理 + +功能说明： +- 解析学年格式：2015-2016 → 2015 +- 解析学期格式：第一学期→1，第二学期→2 +- 解析月度分数：一月:90,九月:85 → 多条月度记录 +- 结果存储到temp_conduct_score_parsed中间表 + +执行方式： +python 02_parse_score_data.py + +注意事项： +- 依赖脚本1已执行完成 +- 支持断点续传（已解析的数据会跳过） +""" + +from __future__ import annotations + +import argparse +import logging +import re +import sys +import time +from datetime import datetime +from typing import Any, Dict, List, Optional, Tuple + +import pymysql +from pymysql.cursors import DictCursor + +from db_config import DB_CONFIG, TABLE_CONFIG, CONSTANTS, MONTH_MAPPING, SEMESTER_MAPPING + +# 配置日志 +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s %(levelname)s %(message)s", + handlers=[ + logging.StreamHandler(sys.stdout), + logging.FileHandler("logs/02_parse_data.log", mode='a', encoding='utf-8') + ] +) +logger = logging.getLogger("parse_data") + +class DataParser: + """数据解析处理器""" + + def __init__(self): + self.db_config = DB_CONFIG + self.temp_import_table = TABLE_CONFIG["temp_import"] + self.temp_parsed_table = TABLE_CONFIG["temp_parsed"] + self.batch_size = CONSTANTS["BATCH_SIZE"] + self.connection = None + + def connect_db(self) -> None: + """连接数据库（带重试机制）""" + max_retries = self.db_config.get('max_retries', 3) + retry_delay = 5 # 每次重试间隔5秒 + + for attempt in range(max_retries + 1): + try: + self.connection = pymysql.connect(**self.db_config) + logger.info("数据库连接成功") + return + except Exception as e: + if attempt < max_retries: + logger.warning(f"数据库连接失败 (尝试 {attempt + 1}/{max_retries + 1}): {e}") + logger.info(f"等待 {retry_delay} 秒后重试...") + time.sleep(retry_delay) + retry_delay *= 2 # 指数退避 + else: + logger.error(f"数据库连接失败，已达到最大重试次数: {e}") + raise + + def disconnect_db(self) -> None: + """断开数据库连接""" + if self.connection: + self.connection.close() + logger.info("数据库连接已断开") + + def check_connection_health(self) -> bool: + """检查数据库连接健康状态""" + if not self.connection: + return False + + try: + with self.connection.cursor() as cursor: + cursor.execute("SELECT 1") + cursor.fetchone() + return True + except Exception as e: + logger.warning(f"连接健康检查失败: {e}") + return False + + def ensure_connection(self) -> None: + """确保数据库连接可用，如果断开则重连""" + if not self.check_connection_health(): + logger.info("检测到连接断开，正在重新连接...") + self.disconnect_db() + self.connect_db() + + def get_pending_data(self) -> List[Dict[str, Any]]: + """获取待解析的数据""" + # 确保连接可用 + self.ensure_connection() + + try: + with self.connection.cursor(DictCursor) as cursor: + sql = f""" + SELECT id, student_no, academic_year_str, semester_str, monthly_scores + FROM {self.temp_import_table} + WHERE import_status = 'pending' + ORDER BY id + LIMIT {self.batch_size} + """ + + cursor.execute(sql) + return cursor.fetchall() + + except Exception as e: + logger.error(f"获取待解析数据失败: {e}") + return [] + + def parse_academic_year(self, year_str: str) -> Tuple[Optional[int], Optional[str]]: + """解析学年格式：2015-2016 → 2015""" + if not year_str or not isinstance(year_str, str): + return None, f"学年为空或格式错误: {year_str}" + + # 匹配XXXX-XXXX格式 + match = re.match(r'^(\d{4})-(\d{4})$', year_str.strip()) + if not match: + return None, f"学年格式不正确，应为XXXX-XXXX格式: {year_str}" + + start_year = int(match.group(1)) + end_year = int(match.group(2)) + + # 验证年份合理性 + if end_year != start_year + 1: + return None, f"学年跨度不正确: {year_str}" + + if start_year < 2000 or start_year > 2030: + return None, f"学年范围不合理: {year_str}" + + return start_year, None + + def parse_semester(self, semester_str: str) -> Tuple[Optional[int], Optional[str]]: + """解析学期格式：第一学期→1，第二学期→2""" + if not semester_str or not isinstance(semester_str, str): + return None, f"学期为空或格式错误: {semester_str}" + + semester = semester_str.strip() + if semester in SEMESTER_MAPPING: + return SEMESTER_MAPPING[semester], None + else: + return None, f"学期格式不正确，应为'第一学期'或'第二学期': {semester}" + + def parse_monthly_scores(self, score_str: str) -> Tuple[List[Tuple[int, float]], Optional[str]]: + """解析月度分数：一月:90,九月:85 → [(1, 90.0), (9, 85.0), ...]""" + if not score_str or not isinstance(score_str, str): + return [], f"平时分数为空或格式错误: {score_str}" + + score_str = score_str.strip() + if not score_str: + return [], "平时分数为空" + + parsed_scores = [] + error_msgs = [] + + # 分割多个月份的分数 + score_parts = score_str.split(',') + for part in score_parts: + part = part.strip() + if not part: + continue + + # 匹配"月份:分数"格式 + match = re.match(r'^(.+?):(.+)$', part) + if not match: + error_msgs.append(f"分数格式错误: {part}") + continue + + month_name = match.group(1).strip() + score_value = match.group(2).strip() + + # 验证月份名称 + if month_name not in MONTH_MAPPING: + error_msgs.append(f"月份名称不正确: {month_name}") + continue + + month_num = MONTH_MAPPING[month_name] + + # 验证分数 + try: + score = float(score_value) + # 取消分数范围限制，允许任何数值分数 + except ValueError: + error_msgs.append(f"分数格式不是数字: {score_value}") + continue + + parsed_scores.append((month_num, score)) + + if error_msgs: + return parsed_scores, "; ".join(error_msgs) + elif not parsed_scores: + return [], "未解析到任何有效分数" + else: + return parsed_scores, None + + def insert_parsed_data(self, parsed_records: List[Dict[str, Any]]) -> tuple[int, int]: + """插入解析后的数据""" + if not parsed_records: + return 0, 0 + + # 确保连接可用 + self.ensure_connection() + + try: + with self.connection.cursor() as cursor: + sql = f""" + INSERT INTO {self.temp_parsed_table} ( + temp_id, student_no, academic_year_str, semester_str, + academic_year, semester, month, score, processing_status + ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, 'parsed') + """ + + values = [] + for record in parsed_records: + values.append(( + record['temp_id'], + record['student_no'], + record['academic_year_str'], + record['semester_str'], + record['academic_year'], + record['semester'], + record['month'], + record['score'] + )) + + cursor.executemany(sql, values) + self.connection.commit() + + return len(parsed_records), 0 + + except Exception as e: + logger.error(f"插入解析数据失败: {e}") + self.connection.rollback() + return 0, len(parsed_records) + + def update_import_status(self, temp_ids: List[int], status: str, error_msg: str = None) -> None: + """更新导入表的状态""" + # 确保连接可用 + self.ensure_connection() + + try: + with self.connection.cursor() as cursor: + if error_msg: + sql = f""" + UPDATE {self.temp_import_table} + SET import_status = %s, error_msg = %s, update_time = NOW() + WHERE id IN ({','.join(['%s'] * len(temp_ids))}) + """ + cursor.execute(sql, [status, error_msg] + temp_ids) + else: + sql = f""" + UPDATE {self.temp_import_table} + SET import_status = %s, update_time = NOW() + WHERE id IN ({','.join(['%s'] * len(temp_ids))}) + """ + cursor.execute(sql, [status] + temp_ids) + + self.connection.commit() + + except Exception as e: + logger.error(f"更新导入状态失败: {e}") + self.connection.rollback() + + def process_batch(self, batch_data: List[Dict[str, Any]]) -> Dict[str, Any]: + """处理一批数据""" + parsed_records = [] + success_ids = [] + error_ids = [] + + for row in batch_data: + temp_id = row['id'] + student_no = row['student_no'] + academic_year_str = row['academic_year_str'] + semester_str = row['semester_str'] + monthly_scores = row['monthly_scores'] + + # 解析学年 + academic_year, year_error = self.parse_academic_year(academic_year_str) + if year_error: + logger.warning(f"学号{student_no}: {year_error}") + error_ids.append(temp_id) + continue + + # 解析学期 + semester, semester_error = self.parse_semester(semester_str) + if semester_error: + logger.warning(f"学号{student_no}: {semester_error}") + error_ids.append(temp_id) + continue + + # 解析月度分数 + monthly_data, score_error = self.parse_monthly_scores(monthly_scores) + if score_error: + logger.warning(f"学号{student_no}: {score_error}") + + # 如果解析出分数，创建记录 + if monthly_data: + for month, score in monthly_data: + parsed_records.append({ + 'temp_id': temp_id, + 'student_no': student_no, + 'academic_year_str': academic_year_str, + 'semester_str': semester_str, + 'academic_year': academic_year, + 'semester': semester, + 'month': month, + 'score': score + }) + success_ids.append(temp_id) + else: + # 没有解析出有效分数，但学年学期正确，也算成功（只是没有月度数据） + if not score_error: + success_ids.append(temp_id) + else: + error_ids.append(temp_id) + + # 插入解析后的数据 + inserted, failed = self.insert_parsed_data(parsed_records) + + # 更新状态 + if success_ids: + self.update_import_status(success_ids, 'parsed') + if error_ids: + self.update_import_status(error_ids, 'error', '数据解析失败') + + return { + 'processed': len(batch_data), + 'success': len(success_ids), + 'error': len(error_ids), + 'parsed_records': inserted, + 'inserted': inserted, + 'insert_failed': failed + } + + def run(self) -> bool: + """执行解析流程""" + start_time = time.time() + total_processed = 0 + total_success = 0 + total_error = 0 + total_parsed_records = 0 + + try: + self.connect_db() + + logger.info("开始数据解析处理") + + batch_count = 0 + while True: + batch_count += 1 + + # 每处理10批数据检查一次连接健康状态 + if batch_count % 10 == 0: + logger.info("执行定期连接健康检查...") + self.ensure_connection() + + # 获取待处理数据 + batch_data = self.get_pending_data() + + if not batch_data: + logger.info("没有更多待处理数据") + break + + logger.info(f"处理批次: {len(batch_data)}条记录") + + # 处理这一批数据 + result = self.process_batch(batch_data) + + total_processed += result['processed'] + total_success += result['success'] + total_error += result['error'] + total_parsed_records += result['parsed_records'] + + logger.info(f"批次结果: 处理{result['processed']}, 成功{result['success']}, " + f"失败{result['error']}, 生成{result['parsed_records']}条月度记录") + + # 如果这一批都是错误，说明可能有问题，停止处理 + if result['success'] == 0 and result['processed'] > 0: + logger.warning("当前批次全部处理失败，可能存在数据质量问题，请检查日志") + break + + # 输出统计信息 + logger.info("="*50) + logger.info("数据解析统计结果:") + logger.info(f" 处理总记录: {total_processed}") + logger.info(f" 解析成功: {total_success}") + logger.info(f" 解析失败: {total_error}") + logger.info(f" 生成月度记录: {total_parsed_records}") + logger.info(f"解析总耗时: {elapsed_time:.1f}秒") + logger.info("="*50) + + return total_error == 0 + + except Exception as e: + logger.error(f"解析过程出现错误: {e}") + return False + + finally: + self.disconnect_db() + elapsed_time = time.time() - start_time + logger.info(f"解析总耗时: {elapsed_time:.1f}秒") +def main(): + """主函数""" + parser = argparse.ArgumentParser(description='学生操行分历史数据 - 数据解析处理') + + logger.info("="*60) + logger.info("学生操行分历史数据迁移 - 脚本2：数据解析处理") + logger.info("="*60) + + # 创建logs目录 + import os + os.makedirs("logs", exist_ok=True) + + # 执行解析 + parser = DataParser() + success = parser.run() + + if success: + logger.info("✅ 数据解析处理完成") + sys.exit(0) + else: + logger.error("❌ 数据解析处理失败") + sys.exit(1) + +if __name__ == "__main__": + main() diff --git a/学校学生操行历史数据迁移/02_parse_score_data_fixed.py b/学校学生操行历史数据迁移/02_parse_score_data_fixed.py new file mode 100644 index 00000000..3a02e6a8 --- /dev/null +++ b/学校学生操行历史数据迁移/02_parse_score_data_fixed.py @@ -0,0 +1,494 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +学生操行分历史数据迁移 - 脚本2：数据解析处理（修复版） + +功能说明： +- 解析学年格式：2015-2016 → 2015 +- 解析学期格式：第一学期→1，第二学期→2 +- 解析月度分数：一月:90,九月:85 → 多条月度记录 +- 结果存储到temp_conduct_score_parsed中间表 + +修复内容： +- 添加数据库连接重试机制 +- 添加连接健康检查和自动重连 +- 定期检查连接状态，避免超时 +- 改进错误处理和日志记录 +- 支持断点续传 + +执行方式： +python 02_parse_score_data_fixed.py + +注意事项： +- 依赖脚本1已执行完成 +- 支持断点续传（已解析的数据会跳过） +- 自动处理数据库连接问题 +""" + +# from __future__ import annotations # Python 3.7+ only + +import argparse +import logging +import re +import sys +import time +from datetime import datetime +from typing import Any, Dict, List, Optional, Tuple + +import pymysql +from pymysql.cursors import DictCursor + +from db_config import DB_CONFIG, TABLE_CONFIG, CONSTANTS, MONTH_MAPPING, SEMESTER_MAPPING + +# 配置日志 +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s %(levelname)s %(message)s", + handlers=[ + logging.StreamHandler(sys.stdout), + logging.FileHandler("logs/02_parse_data_fixed.log", mode='a', encoding='utf-8') + ] +) +logger = logging.getLogger("parse_data_fixed") + +class DataParserFixed: + """数据解析处理器（修复版）""" + + def __init__(self): + self.db_config = DB_CONFIG + self.temp_import_table = TABLE_CONFIG["temp_import"] + self.temp_parsed_table = TABLE_CONFIG["temp_parsed"] + self.batch_size = CONSTANTS["BATCH_SIZE"] + self.max_retries = self.db_config.get('max_retries', 3) + self.connection = None + self.last_health_check = time.time() + self.health_check_interval = 300 # 5分钟检查一次连接健康状态 + + def connect_db(self): + """连接数据库（带重试机制）""" + retry_delay = 5 # 每次重试间隔5秒 + + for attempt in range(self.max_retries + 1): + try: + self.connection = pymysql.connect(**self.db_config) + logger.info("数据库连接成功") + self.last_health_check = time.time() + return + except Exception as e: + if attempt < self.max_retries: + logger.warning(f"数据库连接失败 (尝试 {attempt + 1}/{self.max_retries + 1}): {e}") + logger.info(f"等待 {retry_delay} 秒后重试...") + time.sleep(retry_delay) + retry_delay = min(retry_delay * 2, 60) # 指数退避，最多60秒 + else: + logger.error(f"数据库连接失败，已达到最大重试次数: {e}") + raise + + def disconnect_db(self): + """断开数据库连接""" + if self.connection: + try: + self.connection.close() + logger.info("数据库连接已断开") + except Exception as e: + logger.warning(f"断开连接时出现警告: {e}") + + def check_connection_health(self): + """检查数据库连接健康状态""" + if not self.connection: + return False + + try: + # 发送一个简单的查询来测试连接 + with self.connection.cursor() as cursor: + cursor.execute("SELECT 1 as health_check") + result = cursor.fetchone() + if result and result[0] == 1: + self.last_health_check = time.time() + return True + else: + logger.warning("连接健康检查返回异常结果") + return False + except Exception as e: + logger.warning(f"连接健康检查失败: {e}") + return False + + def ensure_connection(self): + """确保数据库连接可用，如果断开则重连""" + current_time = time.time() + + # 如果距离上次健康检查超过指定时间，也进行检查 + if current_time - self.last_health_check > self.health_check_interval: + logger.info("执行定时连接健康检查...") + + if not self.check_connection_health(): + logger.info("检测到连接断开或不健康，正在重新连接...") + self.disconnect_db() + self.connect_db() + + def get_pending_data(self): + """获取待解析的数据""" + # 确保连接可用 + self.ensure_connection() + + max_retries = 3 + for attempt in range(max_retries): + try: + with self.connection.cursor(DictCursor) as cursor: + sql = f""" + SELECT id, student_no, academic_year_str, semester_str, monthly_scores + FROM {self.temp_import_table} + WHERE import_status = 'pending' + ORDER BY id + LIMIT {self.batch_size} + """ + + cursor.execute(sql) + return cursor.fetchall() + + except Exception as e: + logger.warning(f"获取待解析数据失败 (尝试 {attempt + 1}/{max_retries}): {e}") + if attempt < max_retries - 1: + self.ensure_connection() # 重新连接后重试 + else: + logger.error(f"获取待解析数据失败，已达到最大重试次数: {e}") + return [] + + def parse_academic_year(self, year_str): + """解析学年格式：2015-2016 → 2015""" + if not year_str or not isinstance(year_str, str): + return None, f"学年为空或格式错误: {year_str}" + + # 匹配XXXX-XXXX格式 + match = re.match(r'^(\d{4})-(\d{4})$', year_str.strip()) + if not match: + return None, f"学年格式不正确，应为XXXX-XXXX格式: {year_str}" + + start_year = int(match.group(1)) + end_year = int(match.group(2)) + + # 验证年份合理性 + if end_year != start_year + 1: + return None, f"学年跨度不正确: {year_str}" + + if start_year < 2000 or start_year > 2030: + return None, f"学年范围不合理: {year_str}" + + return start_year, None + + def parse_semester(self, semester_str): + """解析学期格式：第一学期→1，第二学期→2""" + if not semester_str or not isinstance(semester_str, str): + return None, f"学期为空或格式错误: {semester_str}" + + semester = semester_str.strip() + if semester in SEMESTER_MAPPING: + return SEMESTER_MAPPING[semester], None + else: + return None, f"学期格式不正确，应为'第一学期'或'第二学期': {semester}" + + def parse_monthly_scores(self, score_str): + """解析月度分数：一月:90,九月:85 → [(1, 90.0), (9, 85.0), ...]""" + if not score_str or not isinstance(score_str, str): + return [], f"平时分数为空或格式错误: {score_str}" + + score_str = score_str.strip() + if not score_str: + return [], "平时分数为空" + + parsed_scores = [] + error_msgs = [] + + # 分割多个月份的分数 + score_parts = score_str.split(',') + for part in score_parts: + part = part.strip() + if not part: + continue + + # 匹配"月份:分数"格式 + match = re.match(r'^(.+?):(.+)$', part) + if not match: + error_msgs.append(f"分数格式错误: {part}") + continue + + month_name = match.group(1).strip() + score_value = match.group(2).strip() + + # 验证月份名称 + if month_name not in MONTH_MAPPING: + error_msgs.append(f"月份名称不正确: {month_name}") + continue + + month_num = MONTH_MAPPING[month_name] + + # 验证分数（取消范围限制） + try: + score = float(score_value) + parsed_scores.append((month_num, score)) + except ValueError: + error_msgs.append(f"分数格式不是数字: {score_value}") + continue + + if error_msgs: + return parsed_scores, "; ".join(error_msgs) + elif not parsed_scores: + return [], "未解析到任何有效分数" + else: + return parsed_scores, None + + def insert_parsed_data(self, parsed_records): + """插入解析后的数据（带重试机制）""" + if not parsed_records: + return 0, 0 + + # 确保连接可用 + self.ensure_connection() + + max_retries = 3 + for attempt in range(max_retries): + try: + with self.connection.cursor() as cursor: + sql = f""" + INSERT INTO {self.temp_parsed_table} ( + temp_id, student_no, academic_year_str, semester_str, + academic_year, semester, month, score, processing_status + ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, 'parsed') + """ + + values = [] + for record in parsed_records: + values.append(( + record['temp_id'], + record['student_no'], + record['academic_year_str'], + record['semester_str'], + record['academic_year'], + record['semester'], + record['month'], + record['score'] + )) + + cursor.executemany(sql, values) + self.connection.commit() + + return len(parsed_records), 0 + + except Exception as e: + logger.warning(f"插入解析数据失败 (尝试 {attempt + 1}/{max_retries}): {e}") + if attempt < max_retries - 1: + self.ensure_connection() # 重新连接后重试 + time.sleep(2) # 等待2秒再重试 + else: + logger.error(f"插入解析数据失败，已达到最大重试次数: {e}") + try: + self.connection.rollback() + except: + pass + return 0, len(parsed_records) + + def update_import_status(self, temp_ids, status, error_msg=None): + """更新导入表的状态（带重试机制）""" + # 确保连接可用 + self.ensure_connection() + + max_retries = 3 + for attempt in range(max_retries): + try: + with self.connection.cursor() as cursor: + if error_msg: + sql = f""" + UPDATE {self.temp_import_table} + SET import_status = %s, error_msg = %s, update_time = NOW() + WHERE id IN ({','.join(['%s'] * len(temp_ids))}) + """ + cursor.execute(sql, [status, error_msg] + temp_ids) + else: + sql = f""" + UPDATE {self.temp_import_table} + SET import_status = %s, update_time = NOW() + WHERE id IN ({','.join(['%s'] * len(temp_ids))}) + """ + cursor.execute(sql, [status] + temp_ids) + + self.connection.commit() + return + + except Exception as e: + logger.warning(f"更新导入状态失败 (尝试 {attempt + 1}/{max_retries}): {e}") + if attempt < max_retries - 1: + self.ensure_connection() # 重新连接后重试 + time.sleep(1) + else: + logger.error(f"更新导入状态失败，已达到最大重试次数: {e}") + try: + self.connection.rollback() + except: + pass + + def process_batch(self, batch_data): + """处理一批数据""" + parsed_records = [] + success_ids = [] + error_ids = [] + + for row in batch_data: + temp_id = row['id'] + student_no = row['student_no'] + academic_year_str = row['academic_year_str'] + semester_str = row['semester_str'] + monthly_scores = row['monthly_scores'] + + # 解析学年 + academic_year, year_error = self.parse_academic_year(academic_year_str) + if year_error: + logger.warning(f"学号{student_no}: {year_error}") + error_ids.append(temp_id) + continue + + # 解析学期 + semester, semester_error = self.parse_semester(semester_str) + if semester_error: + logger.warning(f"学号{student_no}: {semester_error}") + error_ids.append(temp_id) + continue + + # 解析月度分数 + monthly_data, score_error = self.parse_monthly_scores(monthly_scores) + if score_error: + logger.warning(f"学号{student_no}: {score_error}") + + # 如果解析出分数，创建记录 + if monthly_data: + for month, score in monthly_data: + parsed_records.append({ + 'temp_id': temp_id, + 'student_no': student_no, + 'academic_year_str': academic_year_str, + 'semester_str': semester_str, + 'academic_year': academic_year, + 'semester': semester, + 'month': month, + 'score': score + }) + success_ids.append(temp_id) + else: + # 没有解析出有效分数，但学年学期正确，也算成功（只是没有月度数据） + if not score_error: + success_ids.append(temp_id) + else: + error_ids.append(temp_id) + + # 插入解析后的数据 + inserted, failed = self.insert_parsed_data(parsed_records) + + # 更新状态 + if success_ids: + self.update_import_status(success_ids, 'parsed') + if error_ids: + self.update_import_status(error_ids, 'error', '数据解析失败') + + return { + 'processed': len(batch_data), + 'success': len(success_ids), + 'error': len(error_ids), + 'parsed_records': inserted, + 'inserted': inserted, + 'insert_failed': failed + } + + def run(self): + """执行解析流程""" + start_time = time.time() + total_processed = 0 + total_success = 0 + total_error = 0 + total_parsed_records = 0 + + try: + self.connect_db() + + logger.info("开始数据解析处理（修复版）") + logger.info(f"批量大小: {self.batch_size}, 重试次数: {self.max_retries}") + + batch_count = 0 + while True: + batch_count += 1 + + # 每处理10批数据检查一次连接健康状态 + if batch_count % 10 == 0: + logger.info(f"已处理 {batch_count} 批数据，执行定期连接健康检查...") + self.ensure_connection() + + # 获取待处理数据 + batch_data = self.get_pending_data() + + if not batch_data: + logger.info("没有更多待处理数据") + break + + logger.info(f"处理批次 {batch_count}: {len(batch_data)}条记录") + + # 处理这一批数据 + result = self.process_batch(batch_data) + + total_processed += result['processed'] + total_success += result['success'] + total_error += result['error'] + total_parsed_records += result['parsed_records'] + + logger.info(f"批次 {batch_count} 结果: 处理{result['processed']}, 成功{result['success']}, " + f"失败{result['error']}, 生成{result['parsed_records']}条月度记录") + + # 如果这一批都是错误，说明可能有问题，停止处理 + if result['success'] == 0 and result['processed'] > 0: + logger.warning("当前批次全部处理失败，可能存在数据质量问题，请检查日志") + break + + # 输出统计信息 + logger.info("="*60) + logger.info("数据解析统计结果（修复版）:") + logger.info(f" 处理总记录: {total_processed}") + logger.info(f" 解析成功: {total_success}") + logger.info(f" 解析失败: {total_error}") + logger.info(f" 生成月度记录: {total_parsed_records}") + elapsed_time = time.time() - start_time + logger.info(f"解析总耗时: {elapsed_time:.1f}秒") + logger.info("="*60) + + return total_error == 0 + + except Exception as e: + logger.error(f"解析过程出现错误: {e}") + return False + + finally: + self.disconnect_db() + elapsed_time = time.time() - start_time + logger.info(f"解析总耗时: {elapsed_time:.1f}秒") + +def main(): + """主函数""" + parser = argparse.ArgumentParser(description='学生操行分历史数据 - 数据解析处理（修复版）') + + logger.info("="*70) + logger.info("学生操行分历史数据迁移 - 脚本2：数据解析处理（修复版）") + logger.info("="*70) + + # 创建logs目录 + import os + os.makedirs("logs", exist_ok=True) + + # 执行解析 + parser = DataParserFixed() + success = parser.run() + + if success: + logger.info("✅ 数据解析处理完成（修复版）") + sys.exit(0) + else: + logger.error("❌ 数据解析处理失败（修复版）") + sys.exit(1) + +if __name__ == "__main__": + main() diff --git a/学校学生操行历史数据迁移/02_parse_score_data_py34_compatible.py b/学校学生操行历史数据迁移/02_parse_score_data_py34_compatible.py new file mode 100644 index 00000000..4e629b51 --- /dev/null +++ b/学校学生操行历史数据迁移/02_parse_score_data_py34_compatible.py @@ -0,0 +1,558 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +学生操行分历史数据迁移 - 脚本2：数据解析处理（Python 3.4+完全兼容版） + +功能说明： +- 解析学年格式：2015-2016 → 2015 +- 解析学期格式：第一学期→1，第二学期→2 +- 解析月度分数：一月:90,九月:85 → 多条月度记录 +- 结果存储到temp_conduct_score_parsed中间表 + +兼容性说明： +- 完全兼容Python 3.4+ +- 不使用任何typing模块 +- 不使用f-string，使用.format()格式 +- 不使用类型注解 +- 完全使用Python标准库 + +执行方式： +python 02_parse_score_data_py34_compatible.py + +注意事项： +- 依赖脚本1已执行完成 +- 支持断点续传（已解析的数据会跳过） +- 自动处理数据库连接问题 +""" + +import argparse +import logging +import sys +import time + +import pymysql + +# 配置日志 +logging.basicConfig( + level=logging.INFO, + format='%(asctime)s - %(levelname)s - %(message)s', + handlers=[ + logging.FileHandler('02_parse_score_data.log', encoding='utf-8'), + logging.StreamHandler(sys.stdout) + ] +) +logger = logging.getLogger(__name__) + +# 常量配置 +CONSTANTS = { + "BATCH_SIZE": 1000, # 每批处理1000条记录 + "MAX_RETRIES": 3, # 最大重试次数 + "RETRY_DELAY": 5, # 重试间隔（秒） +} + +# 数据库表配置 +TABLE_CONFIG = { + "temp_import": "temp_conduct_score_import", # 临时导入表 + "temp_parsed": "temp_conduct_score_parsed", # 解析结果表 +} + + +class ConductScoreParser: + """学生操行分数据解析器（Python 3.4+完全兼容版）""" + + def __init__(self, db_config): + self.db_config = db_config + self.temp_import_table = TABLE_CONFIG["temp_import"] + self.temp_parsed_table = TABLE_CONFIG["temp_parsed"] + self.batch_size = CONSTANTS["BATCH_SIZE"] + self.max_retries = self.db_config.get('max_retries', 3) + self.connection = None + self.last_health_check = time.time() + self.health_check_interval = 300 # 5分钟检查一次连接健康状态 + + def connect_db(self): + """连接数据库（带重试机制）""" + retry_delay = 5 # 每次重试间隔5秒 + + for attempt in range(self.max_retries + 1): + try: + self.connection = pymysql.connect(**self.db_config) + logger.info("数据库连接成功") + self.last_health_check = time.time() + return + except Exception as e: + if attempt < self.max_retries: + # 使用.format()替代f-string + attempt_info = "数据库连接失败 (尝试 {}/{})".format(attempt + 1, self.max_retries + 1) + logger.warning("{}: {}".format(attempt_info, e)) + logger.info("等待 {} 秒后重试...".format(retry_delay)) + time.sleep(retry_delay) + retry_delay = min(retry_delay * 2, 60) # 指数退避，最多60秒 + else: + logger.error("数据库连接失败，已达到最大重试次数: {}".format(e)) + raise + + def disconnect_db(self): + """断开数据库连接""" + if self.connection: + try: + self.connection.close() + logger.info("数据库连接已断开") + except Exception as e: + logger.warning("断开连接时出现警告: {}".format(e)) + finally: + self.connection = None + + def check_connection_health(self): + """检查数据库连接健康状态""" + if not self.connection: + return False + + try: + # 执行简单查询检查连接 + with self.connection.cursor() as cursor: + cursor.execute("SELECT 1") + cursor.fetchone() + self.last_health_check = time.time() + return True + except Exception as e: + logger.warning("连接健康检查失败: {}".format(e)) + return False + + def ensure_connection(self): + """确保数据库连接有效，必要时重连""" + current_time = time.time() + + # 检查是否需要定期健康检查 + if current_time - self.last_health_check > self.health_check_interval: + if not self.check_connection_health(): + logger.info("连接健康检查失败，尝试重连...") + self.disconnect_db() + self.connect_db() + elif not self.connection: + # 连接不存在，直接连接 + self.connect_db() + + def get_pending_data(self): + """获取待解析的数据""" + max_retries = 3 + retry_delay = 2 + + for attempt in range(max_retries): + try: + self.ensure_connection() + with self.connection.cursor() as cursor: + # 获取未解析或解析失败的数据 + sql = """ + SELECT temp_id, student_no, academic_year, semester, conduct_score + FROM {} + WHERE import_status IN ('pending', 'error') + ORDER BY temp_id + LIMIT {} + """.format(self.temp_import_table, self.batch_size) + + cursor.execute(sql) + columns = [desc[0] for desc in cursor.description] + rows = cursor.fetchall() + + # 转换为字典列表 + data = [] + for row in rows: + data.append(dict(zip(columns, row))) + + logger.info("获取到 {} 条待解析记录".format(len(data))) + return data + + except Exception as e: + if attempt < max_retries - 1: + attempt_info = "获取待解析数据失败 (尝试 {}/{})".format(attempt + 1, max_retries) + logger.warning("{}: {}".format(attempt_info, e)) + time.sleep(retry_delay) + retry_delay *= 2 + else: + logger.error("获取待解析数据失败，已达到最大重试次数: {}".format(e)) + return [] + + return [] + + def parse_academic_year(self, year_str): + """解析学年字符串，返回(年份, 错误信息)""" + if not year_str or not isinstance(year_str, str): + return None, "学年为空或格式错误: {}".format(year_str) + + year_str = year_str.strip() + + # 尝试匹配XXXX-XXXX格式 + if '-' in year_str: + parts = year_str.split('-') + if len(parts) == 2: + try: + start_year = int(parts[0].strip()) + end_year = int(parts[1].strip()) + + # 检查年份跨度是否合理（应该相差1年） + if end_year - start_year == 1: + # 检查年份范围是否合理 + if 2000 <= start_year <= 2030: + return start_year, None + else: + return None, "学年范围不合理: {}".format(year_str) + else: + return None, "学年跨度不正确: {}".format(year_str) + except ValueError: + return None, "学年格式不正确，应为XXXX-XXXX格式: {}".format(year_str) + else: + return None, "学年格式不正确，应为XXXX-XXXX格式: {}".format(year_str) + else: + # 尝试直接转换为整数 + try: + year = int(year_str) + if 2000 <= year <= 2030: + return year, None + else: + return None, "学年范围不合理: {}".format(year_str) + except ValueError: + return None, "学年格式不正确: {}".format(year_str) + + def parse_semester(self, semester_str): + """解析学期字符串，返回(学期编号, 错误信息)""" + if not semester_str or not isinstance(semester_str, str): + return None, "学期为空或格式错误: {}".format(semester_str) + + semester = semester_str.strip() + + # 映射学期名称到编号 + semester_mapping = { + "第一学期": 1, + "第二学期": 2, + "上学期": 1, + "下学期": 2, + "春季学期": 1, + "秋季学期": 2 + } + + if semester in semester_mapping: + return semester_mapping[semester], None + else: + return None, "学期格式不正确，应为'第一学期'或'第二学期': {}".format(semester) + + def parse_monthly_scores(self, score_str): + """解析月度分数字符串，返回(分数列表, 错误信息)""" + if not score_str or not isinstance(score_str, str): + return [], "平时分数为空或格式错误: {}".format(score_str) + + score_str = score_str.strip() + monthly_scores = [] + error_msgs = [] + + # 按逗号分割多个月份的分数 + parts = [part.strip() for part in score_str.split(',') if part.strip()] + + # 月度映射 + month_mapping = { + "一月": 1, "二月": 2, "三月": 3, "四月": 4, "五月": 5, "六月": 6, + "七月": 7, "八月": 8, "九月": 9, "十月": 10, "十一月": 11, "十二月": 12, + "1月": 1, "2月": 2, "3月": 3, "4月": 4, "5月": 5, "6月": 6, + "7月": 7, "8月": 8, "9月": 9, "10月": 10, "11月": 11, "12月": 12 + } + + for part in parts: + if ':' not in part: + error_msgs.append("分数格式错误: {}".format(part)) + continue + + month_part, score_part = part.split(':', 1) + month_name = month_part.strip() + score_value = score_part.strip() + + # 解析月份 + if month_name not in month_mapping: + error_msgs.append("月份名称不正确: {}".format(month_name)) + continue + + month_num = month_mapping[month_name] + + # 解析分数 + try: + score = float(score_value) + if 0 <= score <= 100: + monthly_scores.append((month_num, score)) + else: + error_msgs.append("分数范围不正确(0-100): {}".format(score)) + except ValueError: + error_msgs.append("分数格式不是数字: {}".format(score_value)) + + if error_msgs: + return monthly_scores, "; ".join(error_msgs) + else: + return monthly_scores, None + + def insert_parsed_data(self, parsed_records): + """插入解析后的数据""" + if not parsed_records: + return 0, 0 + + max_retries = 3 + retry_delay = 2 + total_inserted = 0 + total_failed = 0 + + for attempt in range(max_retries): + try: + self.ensure_connection() + with self.connection.cursor() as cursor: + # 批量插入解析结果 + sql = """ + INSERT INTO {} ( + temp_id, student_no, academic_year, semester, + score_month, conduct_score, parse_status, error_message + ) VALUES {} + """.format( + self.temp_parsed_table, + ", ".join(["(%s, %s, %s, %s, %s, %s, %s, %s)"] * len(parsed_records)) + ) + + # 准备参数 + params = [] + for record in parsed_records: + params.extend([ + record['temp_id'], + record['student_no'], + record['academic_year'], + record['semester'], + record['score_month'], + record['conduct_score'], + record['parse_status'], + record['error_message'] + ]) + + cursor.execute(sql, params) + self.connection.commit() + + total_inserted = len(parsed_records) + logger.info("成功插入 {} 条解析记录".format(total_inserted)) + return total_inserted, 0 + + except Exception as e: + total_failed = len(parsed_records) + if attempt < max_retries - 1: + attempt_info = "插入解析数据失败 (尝试 {}/{})".format(attempt + 1, max_retries) + logger.warning("{}: {}".format(attempt_info, e)) + time.sleep(retry_delay) + retry_delay *= 2 + else: + logger.error("插入解析数据失败，已达到最大重试次数: {}".format(e)) + return 0, total_failed + + return total_inserted, total_failed + + def update_import_status(self, temp_ids, status, error_msg=None): + """更新导入状态""" + if not temp_ids: + return + + max_retries = 3 + retry_delay = 2 + + for attempt in range(max_retries): + try: + self.ensure_connection() + with self.connection.cursor() as cursor: + # 批量更新状态 + placeholders = ", ".join(["%s"] * len(temp_ids)) + + if error_msg: + sql = """ + UPDATE {} SET import_status = %s, error_message = %s, updated_at = NOW() + WHERE temp_id IN ({}) + """.format(self.temp_import_table, placeholders) + cursor.execute(sql, [status, error_msg] + temp_ids) + else: + sql = """ + UPDATE {} SET import_status = %s, error_message = NULL, updated_at = NOW() + WHERE temp_id IN ({}) + """.format(self.temp_import_table, placeholders) + cursor.execute(sql, [status] + temp_ids) + + self.connection.commit() + affected_rows = cursor.rowcount + logger.info("更新 {} 条记录状态为: {}".format(affected_rows, status)) + return + + except Exception as e: + if attempt < max_retries - 1: + attempt_info = "更新导入状态失败 (尝试 {}/{})".format(attempt + 1, max_retries) + logger.warning("{}: {}".format(attempt_info, e)) + time.sleep(retry_delay) + retry_delay *= 2 + else: + logger.error("更新导入状态失败，已达到最大重试次数: {}".format(e)) + + def process_batch(self, batch_data): + """处理一批数据""" + processed = 0 + success = 0 + error = 0 + parsed_records = [] + + for record in batch_data: + processed += 1 + temp_id = record['temp_id'] + student_no = record['student_no'] + + try: + # 解析学年 + academic_year, year_error = self.parse_academic_year(record['academic_year']) + if year_error: + logger.warning("学号{}: {}".format(student_no, year_error)) + error += 1 + continue + + # 解析学期 + semester, semester_error = self.parse_semester(record['semester']) + if semester_error: + logger.warning("学号{}: {}".format(student_no, semester_error)) + error += 1 + continue + + # 解析月度分数 + monthly_scores, score_error = self.parse_monthly_scores(record['conduct_score']) + if score_error: + logger.warning("学号{}: {}".format(student_no, score_error)) + error += 1 + continue + + # 生成解析记录 + for month, score in monthly_scores: + parsed_records.append({ + 'temp_id': temp_id, + 'student_no': student_no, + 'academic_year': academic_year, + 'semester': semester, + 'score_month': month, + 'conduct_score': score, + 'parse_status': 'success', + 'error_message': None + }) + + success += 1 + + except Exception as e: + logger.error("处理记录时出现异常 (学号: {}): {}".format(student_no, e)) + error += 1 + + return { + 'processed': processed, + 'success': success, + 'error': error, + 'parsed_records': parsed_records + } + + def run(self): + """主运行函数""" + start_time = time.time() + logger.info("开始学生操行分数据解析...") + logger.info("批量大小: {}, 重试次数: {}".format(self.batch_size, self.max_retries)) + + try: + # 连接数据库 + self.connect_db() + + total_processed = 0 + total_success = 0 + total_error = 0 + total_parsed_records = 0 + batch_count = 0 + + while True: + batch_count += 1 + + # 获取待处理数据 + batch_data = self.get_pending_data() + if not batch_data: + logger.info("没有更多待处理数据，解析完成") + break + + # 执行定期连接健康检查 + if batch_count % 10 == 0: # 每10批检查一次 + logger.info("已处理 {} 批数据，执行定期连接健康检查...".format(batch_count)) + self.ensure_connection() + + # 处理当前批次 + logger.info("处理批次 {}: {}条记录".format(batch_count, len(batch_data))) + result = self.process_batch(batch_data) + + # 插入解析结果 + if result['parsed_records']: + inserted, failed = self.insert_parsed_data(result['parsed_records']) + if failed > 0: + logger.error("批次 {} 插入失败 {} 条记录".format(batch_count, failed)) + + # 更新导入状态 + temp_ids = [record['temp_id'] for record in batch_data] + if result['success'] > 0: + success_ids = temp_ids[:result['success']] + self.update_import_status(success_ids, 'completed') + + if result['error'] > 0: + error_ids = temp_ids[result['success']:result['success'] + result['error']] + self.update_import_status(error_ids, 'error', '解析失败') + + # 统计信息 + logger.info("批次 {} 结果: 处理{}, 成功{}, 失败{}, 生成{}条月度记录".format( + batch_count, result['processed'], result['success'], + result['error'], len(result['parsed_records']) + )) + + # 累计统计 + total_processed += result['processed'] + total_success += result['success'] + total_error += result['error'] + total_parsed_records += len(result['parsed_records']) + + # 输出最终统计 + elapsed_time = time.time() - start_time + logger.info("数据解析完成!") + logger.info(" 处理总记录: {}".format(total_processed)) + logger.info(" 解析成功: {}".format(total_success)) + logger.info(" 解析失败: {}".format(total_error)) + logger.info(" 生成月度记录: {}".format(total_parsed_records)) + logger.info("解析总耗时: {:.1f}秒".format(elapsed_time)) + + return True + + except KeyboardInterrupt: + logger.info("用户中断解析过程") + return False + except Exception as e: + elapsed_time = time.time() - start_time + logger.error("解析过程出现错误: {}".format(e)) + return False + finally: + self.disconnect_db() + elapsed_time = time.time() - start_time + logger.info("解析总耗时: {:.1f}秒".format(elapsed_time)) + + +def main(): + """主函数""" + parser = argparse.ArgumentParser(description='学生操行分数据解析工具') + parser.add_argument('--config', help='数据库配置文件路径') + parser.add_argument('--batch-size', type=int, default=1000, help='批处理大小') + parser.add_argument('--max-retries', type=int, default=3, help='最大重试次数') + + args = parser.parse_args() + + # 更新配置 + if args.batch_size: + CONSTANTS["BATCH_SIZE"] = args.batch_size + + # 创建解析器并运行 + parser = ConductScoreParser(DB_CONFIG) + success = parser.run() + + sys.exit(0 if success else 1) + + +if __name__ == "__main__": + main() diff --git a/学校学生操行历史数据迁移/02_parse_score_data_py36.py b/学校学生操行历史数据迁移/02_parse_score_data_py36.py new file mode 100644 index 00000000..3a02e6a8 --- /dev/null +++ b/学校学生操行历史数据迁移/02_parse_score_data_py36.py @@ -0,0 +1,494 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +学生操行分历史数据迁移 - 脚本2：数据解析处理（修复版） + +功能说明： +- 解析学年格式：2015-2016 → 2015 +- 解析学期格式：第一学期→1，第二学期→2 +- 解析月度分数：一月:90,九月:85 → 多条月度记录 +- 结果存储到temp_conduct_score_parsed中间表 + +修复内容： +- 添加数据库连接重试机制 +- 添加连接健康检查和自动重连 +- 定期检查连接状态，避免超时 +- 改进错误处理和日志记录 +- 支持断点续传 + +执行方式： +python 02_parse_score_data_fixed.py + +注意事项： +- 依赖脚本1已执行完成 +- 支持断点续传（已解析的数据会跳过） +- 自动处理数据库连接问题 +""" + +# from __future__ import annotations # Python 3.7+ only + +import argparse +import logging +import re +import sys +import time +from datetime import datetime +from typing import Any, Dict, List, Optional, Tuple + +import pymysql +from pymysql.cursors import DictCursor + +from db_config import DB_CONFIG, TABLE_CONFIG, CONSTANTS, MONTH_MAPPING, SEMESTER_MAPPING + +# 配置日志 +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s %(levelname)s %(message)s", + handlers=[ + logging.StreamHandler(sys.stdout), + logging.FileHandler("logs/02_parse_data_fixed.log", mode='a', encoding='utf-8') + ] +) +logger = logging.getLogger("parse_data_fixed") + +class DataParserFixed: + """数据解析处理器（修复版）""" + + def __init__(self): + self.db_config = DB_CONFIG + self.temp_import_table = TABLE_CONFIG["temp_import"] + self.temp_parsed_table = TABLE_CONFIG["temp_parsed"] + self.batch_size = CONSTANTS["BATCH_SIZE"] + self.max_retries = self.db_config.get('max_retries', 3) + self.connection = None + self.last_health_check = time.time() + self.health_check_interval = 300 # 5分钟检查一次连接健康状态 + + def connect_db(self): + """连接数据库（带重试机制）""" + retry_delay = 5 # 每次重试间隔5秒 + + for attempt in range(self.max_retries + 1): + try: + self.connection = pymysql.connect(**self.db_config) + logger.info("数据库连接成功") + self.last_health_check = time.time() + return + except Exception as e: + if attempt < self.max_retries: + logger.warning(f"数据库连接失败 (尝试 {attempt + 1}/{self.max_retries + 1}): {e}") + logger.info(f"等待 {retry_delay} 秒后重试...") + time.sleep(retry_delay) + retry_delay = min(retry_delay * 2, 60) # 指数退避，最多60秒 + else: + logger.error(f"数据库连接失败，已达到最大重试次数: {e}") + raise + + def disconnect_db(self): + """断开数据库连接""" + if self.connection: + try: + self.connection.close() + logger.info("数据库连接已断开") + except Exception as e: + logger.warning(f"断开连接时出现警告: {e}") + + def check_connection_health(self): + """检查数据库连接健康状态""" + if not self.connection: + return False + + try: + # 发送一个简单的查询来测试连接 + with self.connection.cursor() as cursor: + cursor.execute("SELECT 1 as health_check") + result = cursor.fetchone() + if result and result[0] == 1: + self.last_health_check = time.time() + return True + else: + logger.warning("连接健康检查返回异常结果") + return False + except Exception as e: + logger.warning(f"连接健康检查失败: {e}") + return False + + def ensure_connection(self): + """确保数据库连接可用，如果断开则重连""" + current_time = time.time() + + # 如果距离上次健康检查超过指定时间，也进行检查 + if current_time - self.last_health_check > self.health_check_interval: + logger.info("执行定时连接健康检查...") + + if not self.check_connection_health(): + logger.info("检测到连接断开或不健康，正在重新连接...") + self.disconnect_db() + self.connect_db() + + def get_pending_data(self): + """获取待解析的数据""" + # 确保连接可用 + self.ensure_connection() + + max_retries = 3 + for attempt in range(max_retries): + try: + with self.connection.cursor(DictCursor) as cursor: + sql = f""" + SELECT id, student_no, academic_year_str, semester_str, monthly_scores + FROM {self.temp_import_table} + WHERE import_status = 'pending' + ORDER BY id + LIMIT {self.batch_size} + """ + + cursor.execute(sql) + return cursor.fetchall() + + except Exception as e: + logger.warning(f"获取待解析数据失败 (尝试 {attempt + 1}/{max_retries}): {e}") + if attempt < max_retries - 1: + self.ensure_connection() # 重新连接后重试 + else: + logger.error(f"获取待解析数据失败，已达到最大重试次数: {e}") + return [] + + def parse_academic_year(self, year_str): + """解析学年格式：2015-2016 → 2015""" + if not year_str or not isinstance(year_str, str): + return None, f"学年为空或格式错误: {year_str}" + + # 匹配XXXX-XXXX格式 + match = re.match(r'^(\d{4})-(\d{4})$', year_str.strip()) + if not match: + return None, f"学年格式不正确，应为XXXX-XXXX格式: {year_str}" + + start_year = int(match.group(1)) + end_year = int(match.group(2)) + + # 验证年份合理性 + if end_year != start_year + 1: + return None, f"学年跨度不正确: {year_str}" + + if start_year < 2000 or start_year > 2030: + return None, f"学年范围不合理: {year_str}" + + return start_year, None + + def parse_semester(self, semester_str): + """解析学期格式：第一学期→1，第二学期→2""" + if not semester_str or not isinstance(semester_str, str): + return None, f"学期为空或格式错误: {semester_str}" + + semester = semester_str.strip() + if semester in SEMESTER_MAPPING: + return SEMESTER_MAPPING[semester], None + else: + return None, f"学期格式不正确，应为'第一学期'或'第二学期': {semester}" + + def parse_monthly_scores(self, score_str): + """解析月度分数：一月:90,九月:85 → [(1, 90.0), (9, 85.0), ...]""" + if not score_str or not isinstance(score_str, str): + return [], f"平时分数为空或格式错误: {score_str}" + + score_str = score_str.strip() + if not score_str: + return [], "平时分数为空" + + parsed_scores = [] + error_msgs = [] + + # 分割多个月份的分数 + score_parts = score_str.split(',') + for part in score_parts: + part = part.strip() + if not part: + continue + + # 匹配"月份:分数"格式 + match = re.match(r'^(.+?):(.+)$', part) + if not match: + error_msgs.append(f"分数格式错误: {part}") + continue + + month_name = match.group(1).strip() + score_value = match.group(2).strip() + + # 验证月份名称 + if month_name not in MONTH_MAPPING: + error_msgs.append(f"月份名称不正确: {month_name}") + continue + + month_num = MONTH_MAPPING[month_name] + + # 验证分数（取消范围限制） + try: + score = float(score_value) + parsed_scores.append((month_num, score)) + except ValueError: + error_msgs.append(f"分数格式不是数字: {score_value}") + continue + + if error_msgs: + return parsed_scores, "; ".join(error_msgs) + elif not parsed_scores: + return [], "未解析到任何有效分数" + else: + return parsed_scores, None + + def insert_parsed_data(self, parsed_records): + """插入解析后的数据（带重试机制）""" + if not parsed_records: + return 0, 0 + + # 确保连接可用 + self.ensure_connection() + + max_retries = 3 + for attempt in range(max_retries): + try: + with self.connection.cursor() as cursor: + sql = f""" + INSERT INTO {self.temp_parsed_table} ( + temp_id, student_no, academic_year_str, semester_str, + academic_year, semester, month, score, processing_status + ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, 'parsed') + """ + + values = [] + for record in parsed_records: + values.append(( + record['temp_id'], + record['student_no'], + record['academic_year_str'], + record['semester_str'], + record['academic_year'], + record['semester'], + record['month'], + record['score'] + )) + + cursor.executemany(sql, values) + self.connection.commit() + + return len(parsed_records), 0 + + except Exception as e: + logger.warning(f"插入解析数据失败 (尝试 {attempt + 1}/{max_retries}): {e}") + if attempt < max_retries - 1: + self.ensure_connection() # 重新连接后重试 + time.sleep(2) # 等待2秒再重试 + else: + logger.error(f"插入解析数据失败，已达到最大重试次数: {e}") + try: + self.connection.rollback() + except: + pass + return 0, len(parsed_records) + + def update_import_status(self, temp_ids, status, error_msg=None): + """更新导入表的状态（带重试机制）""" + # 确保连接可用 + self.ensure_connection() + + max_retries = 3 + for attempt in range(max_retries): + try: + with self.connection.cursor() as cursor: + if error_msg: + sql = f""" + UPDATE {self.temp_import_table} + SET import_status = %s, error_msg = %s, update_time = NOW() + WHERE id IN ({','.join(['%s'] * len(temp_ids))}) + """ + cursor.execute(sql, [status, error_msg] + temp_ids) + else: + sql = f""" + UPDATE {self.temp_import_table} + SET import_status = %s, update_time = NOW() + WHERE id IN ({','.join(['%s'] * len(temp_ids))}) + """ + cursor.execute(sql, [status] + temp_ids) + + self.connection.commit() + return + + except Exception as e: + logger.warning(f"更新导入状态失败 (尝试 {attempt + 1}/{max_retries}): {e}") + if attempt < max_retries - 1: + self.ensure_connection() # 重新连接后重试 + time.sleep(1) + else: + logger.error(f"更新导入状态失败，已达到最大重试次数: {e}") + try: + self.connection.rollback() + except: + pass + + def process_batch(self, batch_data): + """处理一批数据""" + parsed_records = [] + success_ids = [] + error_ids = [] + + for row in batch_data: + temp_id = row['id'] + student_no = row['student_no'] + academic_year_str = row['academic_year_str'] + semester_str = row['semester_str'] + monthly_scores = row['monthly_scores'] + + # 解析学年 + academic_year, year_error = self.parse_academic_year(academic_year_str) + if year_error: + logger.warning(f"学号{student_no}: {year_error}") + error_ids.append(temp_id) + continue + + # 解析学期 + semester, semester_error = self.parse_semester(semester_str) + if semester_error: + logger.warning(f"学号{student_no}: {semester_error}") + error_ids.append(temp_id) + continue + + # 解析月度分数 + monthly_data, score_error = self.parse_monthly_scores(monthly_scores) + if score_error: + logger.warning(f"学号{student_no}: {score_error}") + + # 如果解析出分数，创建记录 + if monthly_data: + for month, score in monthly_data: + parsed_records.append({ + 'temp_id': temp_id, + 'student_no': student_no, + 'academic_year_str': academic_year_str, + 'semester_str': semester_str, + 'academic_year': academic_year, + 'semester': semester, + 'month': month, + 'score': score + }) + success_ids.append(temp_id) + else: + # 没有解析出有效分数，但学年学期正确，也算成功（只是没有月度数据） + if not score_error: + success_ids.append(temp_id) + else: + error_ids.append(temp_id) + + # 插入解析后的数据 + inserted, failed = self.insert_parsed_data(parsed_records) + + # 更新状态 + if success_ids: + self.update_import_status(success_ids, 'parsed') + if error_ids: + self.update_import_status(error_ids, 'error', '数据解析失败') + + return { + 'processed': len(batch_data), + 'success': len(success_ids), + 'error': len(error_ids), + 'parsed_records': inserted, + 'inserted': inserted, + 'insert_failed': failed + } + + def run(self): + """执行解析流程""" + start_time = time.time() + total_processed = 0 + total_success = 0 + total_error = 0 + total_parsed_records = 0 + + try: + self.connect_db() + + logger.info("开始数据解析处理（修复版）") + logger.info(f"批量大小: {self.batch_size}, 重试次数: {self.max_retries}") + + batch_count = 0 + while True: + batch_count += 1 + + # 每处理10批数据检查一次连接健康状态 + if batch_count % 10 == 0: + logger.info(f"已处理 {batch_count} 批数据，执行定期连接健康检查...") + self.ensure_connection() + + # 获取待处理数据 + batch_data = self.get_pending_data() + + if not batch_data: + logger.info("没有更多待处理数据") + break + + logger.info(f"处理批次 {batch_count}: {len(batch_data)}条记录") + + # 处理这一批数据 + result = self.process_batch(batch_data) + + total_processed += result['processed'] + total_success += result['success'] + total_error += result['error'] + total_parsed_records += result['parsed_records'] + + logger.info(f"批次 {batch_count} 结果: 处理{result['processed']}, 成功{result['success']}, " + f"失败{result['error']}, 生成{result['parsed_records']}条月度记录") + + # 如果这一批都是错误，说明可能有问题，停止处理 + if result['success'] == 0 and result['processed'] > 0: + logger.warning("当前批次全部处理失败，可能存在数据质量问题，请检查日志") + break + + # 输出统计信息 + logger.info("="*60) + logger.info("数据解析统计结果（修复版）:") + logger.info(f" 处理总记录: {total_processed}") + logger.info(f" 解析成功: {total_success}") + logger.info(f" 解析失败: {total_error}") + logger.info(f" 生成月度记录: {total_parsed_records}") + elapsed_time = time.time() - start_time + logger.info(f"解析总耗时: {elapsed_time:.1f}秒") + logger.info("="*60) + + return total_error == 0 + + except Exception as e: + logger.error(f"解析过程出现错误: {e}") + return False + + finally: + self.disconnect_db() + elapsed_time = time.time() - start_time + logger.info(f"解析总耗时: {elapsed_time:.1f}秒") + +def main(): + """主函数""" + parser = argparse.ArgumentParser(description='学生操行分历史数据 - 数据解析处理（修复版）') + + logger.info("="*70) + logger.info("学生操行分历史数据迁移 - 脚本2：数据解析处理（修复版）") + logger.info("="*70) + + # 创建logs目录 + import os + os.makedirs("logs", exist_ok=True) + + # 执行解析 + parser = DataParserFixed() + success = parser.run() + + if success: + logger.info("✅ 数据解析处理完成（修复版）") + sys.exit(0) + else: + logger.error("❌ 数据解析处理失败（修复版）") + sys.exit(1) + +if __name__ == "__main__": + main() diff --git a/学校学生操行历史数据迁移/02_parse_score_data_py36_compatible.py b/学校学生操行历史数据迁移/02_parse_score_data_py36_compatible.py new file mode 100644 index 00000000..39d0f8d9 --- /dev/null +++ b/学校学生操行历史数据迁移/02_parse_score_data_py36_compatible.py @@ -0,0 +1,566 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +学生操行分历史数据迁移 - 脚本2：数据解析处理（Python 3.6兼容版） + +功能说明： +- 解析学年格式：2015-2016 → 2015 +- 解析学期格式：第一学期→1，第二学期→2 +- 解析月度分数：一月:90,九月:85 → 多条月度记录 +- 结果存储到temp_conduct_score_parsed中间表 + +修复内容： +- 添加数据库连接重试机制 +- 添加连接健康检查和自动重连 +- 定期检查连接状态，避免超时 +- 改进错误处理和日志记录 +- 支持断点续传 + +兼容性说明： +- 完全兼容Python 3.6 +- 移除类型注解 +- 使用.format()替代f-string +- 简化字符串格式化表达式 + +执行方式： +python 02_parse_score_data_py36_compatible.py + +注意事项： +- 依赖脚本1已执行完成 +- 支持断点续传（已解析的数据会跳过） +- 自动处理数据库连接问题 +""" + +# 完全兼容Python 3.4+的版本，不使用任何高级类型注解 +import argparse +import logging +import sys +import time + +import pymysql +from db_config import DB_CONFIG + +# 配置日志 +logging.basicConfig( + level=logging.INFO, + format='%(asctime)s - %(levelname)s - %(message)s', + handlers=[ + logging.FileHandler('02_parse_score_data.log', encoding='utf-8'), + logging.StreamHandler(sys.stdout) + ] +) +logger = logging.getLogger(__name__) + +# 常量配置 +CONSTANTS = { + "BATCH_SIZE": 1000, # 每批处理1000条记录 + "MAX_RETRIES": 3, # 最大重试次数 + "RETRY_DELAY": 5, # 重试间隔（秒） +} + +# 数据库表配置 +TABLE_CONFIG = { + "temp_import": "temp_conduct_score_import", # 临时导入表 + "temp_parsed": "temp_conduct_score_parsed", # 解析结果表 +} + + +class ConductScoreParser: + """学生操行分数据解析器（Python 3.6兼容版）""" + + def __init__(self, db_config): + self.db_config = db_config + self.temp_import_table = TABLE_CONFIG["temp_import"] + self.temp_parsed_table = TABLE_CONFIG["temp_parsed"] + self.batch_size = CONSTANTS["BATCH_SIZE"] + self.max_retries = self.db_config.get('max_retries', 3) + self.connection = None + self.last_health_check = time.time() + self.health_check_interval = 300 # 5分钟检查一次连接健康状态 + + def connect_db(self): + """连接数据库（带重试机制）""" + retry_delay = 5 # 每次重试间隔5秒 + + for attempt in range(self.max_retries + 1): + try: + self.connection = pymysql.connect(**self.db_config) + logger.info("数据库连接成功") + self.last_health_check = time.time() + return + except Exception as e: + if attempt < self.max_retries: + # 简化f-string表达式，避免Python 3.6兼容性问题 + attempt_info = "数据库连接失败 (尝试 {}/{})".format(attempt + 1, self.max_retries + 1) + logger.warning("{}: {}".format(attempt_info, e)) + logger.info("等待 {} 秒后重试...".format(retry_delay)) + time.sleep(retry_delay) + retry_delay = min(retry_delay * 2, 60) # 指数退避，最多60秒 + else: + logger.error("数据库连接失败，已达到最大重试次数: {}".format(e)) + raise + + def disconnect_db(self): + """断开数据库连接""" + if self.connection: + try: + self.connection.close() + logger.info("数据库连接已断开") + except Exception as e: + logger.warning("断开连接时出现警告: {}".format(e)) + finally: + self.connection = None + + def check_connection_health(self): + """检查数据库连接健康状态""" + if not self.connection: + return False + + try: + # 执行简单查询检查连接 + with self.connection.cursor() as cursor: + cursor.execute("SELECT 1") + cursor.fetchone() + self.last_health_check = time.time() + return True + except Exception as e: + logger.warning("连接健康检查失败: {}".format(e)) + return False + + def ensure_connection(self): + """确保数据库连接有效，必要时重连""" + current_time = time.time() + + # 检查是否需要定期健康检查 + if current_time - self.last_health_check > self.health_check_interval: + if not self.check_connection_health(): + logger.info("连接健康检查失败，尝试重连...") + self.disconnect_db() + self.connect_db() + elif not self.connection: + # 连接不存在，直接连接 + self.connect_db() + + def get_pending_data(self): + """获取待解析的数据""" + max_retries = 3 + retry_delay = 2 + + for attempt in range(max_retries): + try: + self.ensure_connection() + with self.connection.cursor() as cursor: + # 获取未解析或解析失败的数据 + sql = """ + SELECT temp_id, student_no, academic_year, semester, conduct_score + FROM {} + WHERE import_status IN ('pending', 'error') + ORDER BY temp_id + LIMIT {} + """.format(self.temp_import_table, self.batch_size) + + cursor.execute(sql) + columns = [desc[0] for desc in cursor.description] + rows = cursor.fetchall() + + # 转换为字典列表 + data = [] + for row in rows: + data.append(dict(zip(columns, row))) + + logger.info("获取到 {} 条待解析记录".format(len(data))) + return data + + except Exception as e: + if attempt < max_retries - 1: + attempt_info = "获取待解析数据失败 (尝试 {}/{})".format(attempt + 1, max_retries) + logger.warning("{}: {}".format(attempt_info, e)) + time.sleep(retry_delay) + retry_delay *= 2 + else: + logger.error("获取待解析数据失败，已达到最大重试次数: {}".format(e)) + return [] + + return [] + + def parse_academic_year(self, year_str): + """解析学年字符串，返回(年份, 错误信息)""" + if not year_str or not isinstance(year_str, str): + return None, "学年为空或格式错误: {}".format(year_str) + + year_str = year_str.strip() + + # 尝试匹配XXXX-XXXX格式 + if '-' in year_str: + parts = year_str.split('-') + if len(parts) == 2: + try: + start_year = int(parts[0].strip()) + end_year = int(parts[1].strip()) + + # 检查年份跨度是否合理（应该相差1年） + if end_year - start_year == 1: + # 检查年份范围是否合理 + if 2000 <= start_year <= 2030: + return start_year, None + else: + return None, "学年范围不合理: {}".format(year_str) + else: + return None, "学年跨度不正确: {}".format(year_str) + except ValueError: + return None, "学年格式不正确，应为XXXX-XXXX格式: {}".format(year_str) + else: + return None, "学年格式不正确，应为XXXX-XXXX格式: {}".format(year_str) + else: + # 尝试直接转换为整数 + try: + year = int(year_str) + if 2000 <= year <= 2030: + return year, None + else: + return None, "学年范围不合理: {}".format(year_str) + except ValueError: + return None, "学年格式不正确: {}".format(year_str) + + def parse_semester(self, semester_str): + """解析学期字符串，返回(学期编号, 错误信息)""" + if not semester_str or not isinstance(semester_str, str): + return None, "学期为空或格式错误: {}".format(semester_str) + + semester = semester_str.strip() + + # 映射学期名称到编号 + semester_mapping = { + "第一学期": 1, + "第二学期": 2, + "上学期": 1, + "下学期": 2, + "春季学期": 1, + "秋季学期": 2 + } + + if semester in semester_mapping: + return semester_mapping[semester], None + else: + return None, "学期格式不正确，应为'第一学期'或'第二学期': {}".format(semester) + + def parse_monthly_scores(self, score_str): + """解析月度分数字符串，返回(分数列表, 错误信息)""" + if not score_str or not isinstance(score_str, str): + return [], "平时分数为空或格式错误: {}".format(score_str) + + score_str = score_str.strip() + monthly_scores = [] + error_msgs = [] + + # 按逗号分割多个月份的分数 + parts = [part.strip() for part in score_str.split(',') if part.strip()] + + # 月度映射 + month_mapping = { + "一月": 1, "二月": 2, "三月": 3, "四月": 4, "五月": 5, "六月": 6, + "七月": 7, "八月": 8, "九月": 9, "十月": 10, "十一月": 11, "十二月": 12, + "1月": 1, "2月": 2, "3月": 3, "4月": 4, "5月": 5, "6月": 6, + "7月": 7, "8月": 8, "9月": 9, "10月": 10, "11月": 11, "12月": 12 + } + + for part in parts: + if ':' not in part: + error_msgs.append("分数格式错误: {}".format(part)) + continue + + month_part, score_part = part.split(':', 1) + month_name = month_part.strip() + score_value = score_part.strip() + + # 解析月份 + if month_name not in month_mapping: + error_msgs.append("月份名称不正确: {}".format(month_name)) + continue + + month_num = month_mapping[month_name] + + # 解析分数 + try: + score = float(score_value) + if 0 <= score <= 100: + monthly_scores.append((month_num, score)) + else: + error_msgs.append("分数范围不正确(0-100): {}".format(score)) + except ValueError: + error_msgs.append("分数格式不是数字: {}".format(score_value)) + + if error_msgs: + return monthly_scores, "; ".join(error_msgs) + else: + return monthly_scores, None + + def insert_parsed_data(self, parsed_records): + """插入解析后的数据""" + if not parsed_records: + return 0, 0 + + max_retries = 3 + retry_delay = 2 + total_inserted = 0 + total_failed = 0 + + for attempt in range(max_retries): + try: + self.ensure_connection() + with self.connection.cursor() as cursor: + # 批量插入解析结果 + sql = """ + INSERT INTO {} ( + temp_id, student_no, academic_year, semester, + score_month, conduct_score, parse_status, error_message + ) VALUES {} + """.format( + self.temp_parsed_table, + ", ".join(["(%s, %s, %s, %s, %s, %s, %s, %s)"] * len(parsed_records)) + ) + + # 准备参数 + params = [] + for record in parsed_records: + params.extend([ + record['temp_id'], + record['student_no'], + record['academic_year'], + record['semester'], + record['score_month'], + record['conduct_score'], + record['parse_status'], + record['error_message'] + ]) + + cursor.execute(sql, params) + self.connection.commit() + + total_inserted = len(parsed_records) + logger.info("成功插入 {} 条解析记录".format(total_inserted)) + return total_inserted, 0 + + except Exception as e: + total_failed = len(parsed_records) + if attempt < max_retries - 1: + attempt_info = "插入解析数据失败 (尝试 {}/{})".format(attempt + 1, max_retries) + logger.warning("{}: {}".format(attempt_info, e)) + time.sleep(retry_delay) + retry_delay *= 2 + else: + logger.error("插入解析数据失败，已达到最大重试次数: {}".format(e)) + return 0, total_failed + + return total_inserted, total_failed + + def update_import_status(self, temp_ids, status, error_msg=None): + """更新导入状态""" + if not temp_ids: + return + + max_retries = 3 + retry_delay = 2 + + for attempt in range(max_retries): + try: + self.ensure_connection() + with self.connection.cursor() as cursor: + # 批量更新状态 + placeholders = ", ".join(["%s"] * len(temp_ids)) + + if error_msg: + sql = """ + UPDATE {} SET import_status = %s, error_message = %s, updated_at = NOW() + WHERE temp_id IN ({}) + """.format(self.temp_import_table, placeholders) + cursor.execute(sql, [status, error_msg] + temp_ids) + else: + sql = """ + UPDATE {} SET import_status = %s, error_message = NULL, updated_at = NOW() + WHERE temp_id IN ({}) + """.format(self.temp_import_table, placeholders) + cursor.execute(sql, [status] + temp_ids) + + self.connection.commit() + affected_rows = cursor.rowcount + logger.info("更新 {} 条记录状态为: {}".format(affected_rows, status)) + return + + except Exception as e: + if attempt < max_retries - 1: + attempt_info = "更新导入状态失败 (尝试 {}/{})".format(attempt + 1, max_retries) + logger.warning("{}: {}".format(attempt_info, e)) + time.sleep(retry_delay) + retry_delay *= 2 + else: + logger.error("更新导入状态失败，已达到最大重试次数: {}".format(e)) + + def process_batch(self, batch_data): + """处理一批数据""" + processed = 0 + success = 0 + error = 0 + parsed_records = [] + + for record in batch_data: + processed += 1 + temp_id = record['temp_id'] + student_no = record['student_no'] + + try: + # 解析学年 + academic_year, year_error = self.parse_academic_year(record['academic_year']) + if year_error: + logger.warning("学号{}: {}".format(student_no, year_error)) + error += 1 + continue + + # 解析学期 + semester, semester_error = self.parse_semester(record['semester']) + if semester_error: + logger.warning("学号{}: {}".format(student_no, semester_error)) + error += 1 + continue + + # 解析月度分数 + monthly_scores, score_error = self.parse_monthly_scores(record['conduct_score']) + if score_error: + logger.warning("学号{}: {}".format(student_no, score_error)) + error += 1 + continue + + # 生成解析记录 + for month, score in monthly_scores: + parsed_records.append({ + 'temp_id': temp_id, + 'student_no': student_no, + 'academic_year': academic_year, + 'semester': semester, + 'score_month': month, + 'conduct_score': score, + 'parse_status': 'success', + 'error_message': None + }) + + success += 1 + + except Exception as e: + logger.error("处理记录时出现异常 (学号: {}): {}".format(student_no, e)) + error += 1 + + return { + 'processed': processed, + 'success': success, + 'error': error, + 'parsed_records': parsed_records + } + + def run(self): + """主运行函数""" + start_time = time.time() + logger.info("开始学生操行分数据解析...") + logger.info("批量大小: {}, 重试次数: {}".format(self.batch_size, self.max_retries)) + + try: + # 连接数据库 + self.connect_db() + + total_processed = 0 + total_success = 0 + total_error = 0 + total_parsed_records = 0 + batch_count = 0 + + while True: + batch_count += 1 + + # 获取待处理数据 + batch_data = self.get_pending_data() + if not batch_data: + logger.info("没有更多待处理数据，解析完成") + break + + # 执行定期连接健康检查 + if batch_count % 10 == 0: # 每10批检查一次 + logger.info("已处理 {} 批数据，执行定期连接健康检查...".format(batch_count)) + self.ensure_connection() + + # 处理当前批次 + logger.info("处理批次 {}: {}条记录".format(batch_count, len(batch_data))) + result = self.process_batch(batch_data) + + # 插入解析结果 + if result['parsed_records']: + inserted, failed = self.insert_parsed_data(result['parsed_records']) + if failed > 0: + logger.error("批次 {} 插入失败 {} 条记录".format(batch_count, failed)) + + # 更新导入状态 + temp_ids = [record['temp_id'] for record in batch_data] + if result['success'] > 0: + success_ids = temp_ids[:result['success']] + self.update_import_status(success_ids, 'completed') + + if result['error'] > 0: + error_ids = temp_ids[result['success']:result['success'] + result['error']] + self.update_import_status(error_ids, 'error', '解析失败') + + # 统计信息 + logger.info("批次 {} 结果: 处理{}, 成功{}, 失败{}, 生成{}条月度记录".format( + batch_count, result['processed'], result['success'], + result['error'], len(result['parsed_records']) + )) + + # 累计统计 + total_processed += result['processed'] + total_success += result['success'] + total_error += result['error'] + total_parsed_records += len(result['parsed_records']) + + # 输出最终统计 + elapsed_time = time.time() - start_time + logger.info("数据解析完成!") + logger.info(" 处理总记录: {}".format(total_processed)) + logger.info(" 解析成功: {}".format(total_success)) + logger.info(" 解析失败: {}".format(total_error)) + logger.info(" 生成月度记录: {}".format(total_parsed_records)) + logger.info("解析总耗时: {:.1f}秒".format(elapsed_time)) + + return True + + except KeyboardInterrupt: + logger.info("用户中断解析过程") + return False + except Exception as e: + elapsed_time = time.time() - start_time + logger.error("解析过程出现错误: {}".format(e)) + return False + finally: + self.disconnect_db() + elapsed_time = time.time() - start_time + logger.info("解析总耗时: {:.1f}秒".format(elapsed_time)) + + +def main(): + """主函数""" + parser = argparse.ArgumentParser(description='学生操行分数据解析工具') + parser.add_argument('--config', help='数据库配置文件路径') + parser.add_argument('--batch-size', type=int, default=1000, help='批处理大小') + parser.add_argument('--max-retries', type=int, default=3, help='最大重试次数') + + args = parser.parse_args() + + # 更新配置 + if args.batch_size: + CONSTANTS["BATCH_SIZE"] = args.batch_size + + # 创建解析器并运行 + parser = ConductScoreParser(DB_CONFIG) + success = parser.run() + + sys.exit(0 if success else 1) + + +if __name__ == "__main__": + main() diff --git a/学校学生操行历史数据迁移/03_link_student_data.py b/学校学生操行历史数据迁移/03_link_student_data.py new file mode 100644 index 00000000..1672d134 --- /dev/null +++ b/学校学生操行历史数据迁移/03_link_student_data.py @@ -0,0 +1,390 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +学生操行分历史数据迁移 - 脚本3：数据关联处理 + +功能说明： +- 根据学号关联xg_student_msg表，获取学生ID +- 根据班级ID获取班主任信息 +- 更新temp_conduct_score_parsed表中的关联字段 + +执行方式： +python 03_link_student_data.py + +注意事项： +- 依赖脚本2已执行完成 +- 学号不存在的学生记录会标记为错误状态 +""" + +from __future__ import annotations + +import argparse +import logging +import sys +import time +from datetime import datetime +from typing import Any, Dict, List, Optional, Tuple + +import pymysql +from pymysql.cursors import DictCursor + +from db_config import DB_CONFIG, TABLE_CONFIG, CONSTANTS + +# 配置日志 +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s %(levelname)s %(message)s", + handlers=[ + logging.StreamHandler(sys.stdout), + logging.FileHandler("logs/03_link_data.log", mode='a', encoding='utf-8') + ] +) +logger = logging.getLogger("link_data") + +class DataLinker: + """数据关联处理器""" + + def __init__(self): + self.db_config = DB_CONFIG + self.temp_parsed_table = TABLE_CONFIG["temp_parsed"] + self.students_table = TABLE_CONFIG["students"] + self.classes_table = TABLE_CONFIG["classes"] + self.batch_size = CONSTANTS["BATCH_SIZE"] + self.connection = None + + def connect_db(self) -> None: + """连接数据库""" + try: + self.connection = pymysql.connect(**self.db_config) + logger.info("数据库连接成功") + except Exception as e: + logger.error(f"数据库连接失败: {e}") + raise + + def disconnect_db(self) -> None: + """断开数据库连接""" + if self.connection: + self.connection.close() + logger.info("数据库连接已断开") + + def get_pending_data(self) -> List[Dict[str, Any]]: + """获取待关联的数据""" + try: + with self.connection.cursor(DictCursor) as cursor: + sql = f""" + SELECT id, temp_id, student_no, academic_year, semester, month, score + FROM {self.temp_parsed_table} + WHERE processing_status = 'parsed' + ORDER BY id + LIMIT {self.batch_size} + """ + + cursor.execute(sql) + return cursor.fetchall() + + except Exception as e: + logger.error(f"获取待关联数据失败: {e}") + return [] + + def link_student_info(self, student_nos: List[str]) -> Dict[str, Dict[str, Any]]: + """批量关联学生信息""" + if not student_nos: + return {} + + try: + with self.connection.cursor(DictCursor) as cursor: + # 构建IN查询 + placeholders = ','.join(['%s'] * len(student_nos)) + sql = f""" + SELECT + s.id as student_id, + s.student_no, + s.class_id, + c.class_teacher_id + FROM {self.students_table} s + LEFT JOIN {self.classes_table} c ON s.class_id = c.id + WHERE s.student_no IN ({placeholders}) + AND s.deleted = 0 + AND (c.id IS NULL OR c.deleted = 0) + """ + + cursor.execute(sql, student_nos) + results = cursor.fetchall() + + # 转换为字典格式 + student_info = {} + for row in results: + student_info[row['student_no']] = { + 'student_id': row['student_id'], + 'class_id': row['class_id'], + 'class_teacher_id': row['class_teacher_id'] + } + + return student_info + + except Exception as e: + logger.error(f"关联学生信息失败: {e}") + return {} + + def update_parsed_data(self, update_data: List[Dict[str, Any]]) -> tuple[int, int]: + """更新解析表中的关联信息""" + if not update_data: + return 0, 0 + + try: + with self.connection.cursor() as cursor: + # 分别处理成功和失败的数据 + success_updates = [] + error_updates = [] + + for item in update_data: + if item.get('student_id'): + success_updates.append(item) + else: + error_updates.append(item) + + # 更新成功的记录 + success_count = 0 + if success_updates: + sql = f""" + UPDATE {self.temp_parsed_table} + SET student_id = %s, class_id = %s, class_teacher_id = %s, + processing_status = 'linked', update_time = NOW() + WHERE id = %s + """ + + values = [(item['student_id'], item['class_id'], item['class_teacher_id'], item['id']) + for item in success_updates] + + cursor.executemany(sql, values) + success_count = len(success_updates) + + # 更新失败的记录 + error_count = 0 + if error_updates: + sql = f""" + UPDATE {self.temp_parsed_table} + SET processing_status = 'error', error_msg = %s, update_time = NOW() + WHERE id = %s + """ + + values = [("学号不存在或学生已被删除", item['id']) for item in error_updates] + cursor.executemany(sql, values) + error_count = len(error_updates) + + self.connection.commit() + + return success_count, error_count + + except Exception as e: + logger.error(f"更新关联数据失败: {e}") + self.connection.rollback() + return 0, len(update_data) + + def process_batch(self, batch_data: List[Dict[str, Any]]) -> Dict[str, Any]: + """处理一批数据""" + if not batch_data: + return {'processed': 0, 'linked': 0, 'not_found': 0} + + # 提取学号列表 + student_nos = list(set(row['student_no'] for row in batch_data)) + + # 关联学生信息 + student_info = self.link_student_info(student_nos) + + # 构建更新数据 + update_data = [] + not_found_nos = set() + + for row in batch_data: + student_no = row['student_no'] + info = student_info.get(student_no) + + if info: + update_data.append({ + 'id': row['id'], + 'student_id': info['student_id'], + 'class_id': info['class_id'], + 'class_teacher_id': info['class_teacher_id'] + }) + else: + update_data.append({ + 'id': row['id'], + 'student_id': None, + 'class_id': None, + 'class_teacher_id': None + }) + not_found_nos.add(student_no) + + # 输出未找到的学号 + if not_found_nos: + logger.warning(f"未找到以下学号的学生信息 ({len(not_found_nos)}个):") + for student_no in sorted(list(not_found_nos)[:10]): # 只显示前10个 + logger.warning(f" {student_no}") + if len(not_found_nos) > 10: + logger.warning(f" ... 还有{len(not_found_nos) - 10}个") + + # 更新数据库 + linked, not_linked = self.update_parsed_data(update_data) + + return { + 'processed': len(batch_data), + 'linked': linked, + 'not_found': not_linked, + 'unique_students': len(student_nos), + 'found_students': len(student_info) + } + + def get_statistics(self) -> Dict[str, Any]: + """获取处理统计""" + try: + with self.connection.cursor(DictCursor) as cursor: + sql = f""" + SELECT + COUNT(*) as total, + SUM(CASE WHEN processing_status = 'parsed' THEN 1 ELSE 0 END) as pending, + SUM(CASE WHEN processing_status = 'linked' THEN 1 ELSE 0 END) as linked, + SUM(CASE WHEN processing_status = 'error' THEN 1 ELSE 0 END) as error + FROM {self.temp_parsed_table} + """ + + cursor.execute(sql) + result = cursor.fetchone() + + return { + 'total_records': result['total'] or 0, + 'pending': result['pending'] or 0, + 'linked': result['linked'] or 0, + 'error': result['error'] or 0 + } + + except Exception as e: + logger.error(f"获取统计信息失败: {e}") + return {'total_records': 0, 'pending': 0, 'linked': 0, 'error': 0} + + def link_student_data_efficient(self) -> Tuple[int, int]: + """高效的关联学生数据 - 使用单次UPDATE JOIN操作""" + try: + with self.connection.cursor() as cursor: + # 使用UPDATE JOIN一次性关联所有数据 + sql = f""" + UPDATE {self.temp_parsed_table} t + LEFT JOIN {self.students_table} s ON t.student_no = s.student_no + AND s.deleted = 0 + LEFT JOIN {self.classes_table} c ON s.class_id = c.id + AND c.deleted = 0 + SET + t.student_id = s.id, + t.class_id = s.class_id, + t.class_teacher_id = c.class_teacher_id, + t.processing_status = CASE + WHEN s.id IS NOT NULL THEN 'linked' + ELSE 'error' + END, + t.error_msg = CASE + WHEN s.id IS NULL THEN '学号不存在或学生已被删除' + ELSE NULL + END, + t.update_time = NOW() + WHERE t.processing_status = 'parsed' + """ + + affected_rows = cursor.execute(sql) + self.connection.commit() + + # 统计成功和失败的数量 + success_count = 0 + error_count = 0 + + if affected_rows > 0: + # 获取更新后的统计 + with self.connection.cursor() as count_cursor: + count_sql = f""" + SELECT + SUM(CASE WHEN processing_status = 'linked' THEN 1 ELSE 0 END) as linked, + SUM(CASE WHEN processing_status = 'error' THEN 1 ELSE 0 END) as error + FROM {self.temp_parsed_table} + WHERE processing_status IN ('linked', 'error') + """ + count_cursor.execute(count_sql) + result = count_cursor.fetchone() + success_count = result[0] or 0 + error_count = result[1] or 0 + + logger.info(f"UPDATE JOIN操作完成，影响行数: {affected_rows}") + return success_count, error_count + + except Exception as e: + logger.error(f"高效关联操作失败: {e}") + self.connection.rollback() + return 0, 0 + + def run(self) -> bool: + """执行关联流程""" + start_time = time.time() + + try: + self.connect_db() + + # 显示初始统计 + initial_stats = self.get_statistics() + logger.info("数据关联处理开始") + logger.info(f"当前状态: 总计{initial_stats['total_records']}条记录，" + f"待关联{initial_stats['pending']}条，已关联{initial_stats['linked']}条，" + f"错误{initial_stats['error']}条") + + # 使用高效的UPDATE JOIN方式处理所有数据 + logger.info("开始执行高效关联操作...") + linked, error = self.link_student_data_efficient() + + # 显示最终统计 + final_stats = self.get_statistics() + logger.info("="*50) + logger.info("数据关联统计结果:") + logger.info(f" 关联成功: {linked}") + logger.info(f" 学号未找到: {error}") + logger.info(f" 最终状态:") + logger.info(f" - 已关联: {final_stats['linked']}") + logger.info(f" - 关联失败: {final_stats['error']}") + logger.info("="*50) + + # 如果有未找到的学号，输出详细信息 + if error > 0: + logger.warning(f"共有{error}条记录的学号未找到对应学生信息") + logger.warning("这些记录将无法导入到正式表，请检查学生数据") + + return error == 0 + + except Exception as e: + logger.error(f"关联过程出现错误: {e}") + return False + + finally: + self.disconnect_db() + elapsed_time = time.time() - start_time + logger.info(f"关联总耗时: {elapsed_time:.1f}秒") +def main(): + """主函数""" + parser = argparse.ArgumentParser(description='学生操行分历史数据 - 数据关联处理') + + logger.info("="*60) + logger.info("学生操行分历史数据迁移 - 脚本3：数据关联处理") + logger.info("="*60) + + # 创建logs目录 + import os + os.makedirs("logs", exist_ok=True) + + # 执行关联 + linker = DataLinker() + success = linker.run() + + if success: + logger.info("✅ 数据关联处理完成") + sys.exit(0) + else: + logger.warning("⚠️ 数据关联处理完成，但存在未关联的记录") + sys.exit(0) # 不算错误，只是警告 + +if __name__ == "__main__": + main() diff --git a/学校学生操行历史数据迁移/04_import_to_production.py b/学校学生操行历史数据迁移/04_import_to_production.py new file mode 100644 index 00000000..e86c6181 --- /dev/null +++ b/学校学生操行历史数据迁移/04_import_to_production.py @@ -0,0 +1,371 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +学生操行分历史数据迁移 - 脚本4：正式导入处理（简化版本） + +功能说明： +- 使用高效的INSERT INTO SELECT语句直接导入数据 +- 自动生成雪花ID作为主键 +- 支持重新处理模式：重新导入所有已关联的数据 +- 简洁高效，避免复杂的重复检查和批量处理逻辑 + +执行方式： +python 04_import_to_production.py # 正常模式：仅处理待导入数据 +python 04_import_to_production.py --reprocess # 重新处理模式：重新处理所有已关联数据 + +注意事项： +- 依赖脚本3已执行完成 +- 使用数据库的INSERT IGNORE处理重复数据 +- 性能大幅提升，代码大幅简化 +""" + +from __future__ import annotations + +import argparse +import logging +import sys +import time +from datetime import datetime +from typing import Any, Dict, List + +import pymysql + +from db_config import DB_CONFIG, TABLE_CONFIG, CONSTANTS + +# 配置日志 +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s %(levelname)s %(message)s", + handlers=[ + logging.StreamHandler(sys.stdout), + logging.FileHandler("logs/04_import_production.log", mode='a', encoding='utf-8') + ] +) +logger = logging.getLogger("import_production") + +class ProductionImporter: + """正式表导入处理器（简化版本）""" + + def __init__(self): + self.db_config = DB_CONFIG + self.temp_parsed_table = TABLE_CONFIG["temp_parsed"] + self.production_table = TABLE_CONFIG["production"] + self.tenant_id = CONSTANTS["DEFAULT_TENANT_ID"] + self.create_by = CONSTANTS["DEFAULT_CREATE_BY"] + self.update_by = CONSTANTS["DEFAULT_UPDATE_BY"] + self.connection = None + self.sequence_counter = 0 # 雪花ID序列号计数器 + self.last_timestamp = -1 # 上次时间戳 + + def connect_db(self) -> None: + """连接数据库""" + try: + self.connection = pymysql.connect(**self.db_config) + logger.info("数据库连接成功") + except Exception as e: + logger.error(f"数据库连接失败: {e}") + raise + + def disconnect_db(self) -> None: + """断开数据库连接""" + if self.connection: + self.connection.close() + logger.info("数据库连接已断开") + + def generate_snowflake_id(self) -> int: + """生成雪花ID""" + epoch = CONSTANTS["SNOWFLAKE_EPOCH"] + worker_id = CONSTANTS["WORKER_ID"] + datacenter_id = CONSTANTS["DATACENTER_ID"] + + timestamp = int(time.time() * 1000) + + if timestamp == self.last_timestamp: + self.sequence_counter = (self.sequence_counter + 1) % 4096 + else: + self.sequence_counter = 0 + self.last_timestamp = timestamp + + timestamp_part = (timestamp - epoch) << 22 + datacenter_part = datacenter_id << 17 + worker_part = worker_id << 12 + sequence_part = self.sequence_counter + + return timestamp_part | datacenter_part | worker_part | sequence_part + + def get_pending_ids(self, reprocess: bool = False) -> List[int]: + """获取待处理的记录ID""" + try: + with self.connection.cursor() as cursor: + if reprocess: + # 重新处理模式：获取所有已关联的数据 + sql = f""" + SELECT id FROM {self.temp_parsed_table} + WHERE processing_status IN ('linked', 'imported', 'duplicate') + AND student_id IS NOT NULL + """ + else: + # 正常模式：只获取待导入的数据 + sql = f""" + SELECT id FROM {self.temp_parsed_table} + WHERE processing_status = 'linked' + AND student_id IS NOT NULL + """ + + cursor.execute(sql) + return [row[0] for row in cursor.fetchall()] + + except Exception as e: + logger.error(f"获取待处理记录ID失败: {e}") + return [] + + def import_data_directly(self, record_ids: List[int]) -> Dict[str, int]: + """使用INSERT INTO SELECT直接导入数据""" + if not record_ids: + return {'imported': 0, 'duplicates': 0, 'errors': 0} + + try: + with self.connection.cursor() as cursor: + # 先预生成一批雪花ID + snowflake_ids = [] + for _ in range(len(record_ids)): + snowflake_ids.append(self.generate_snowflake_id()) + + current_time = datetime.now() + + # 创建临时表存储ID映射 + temp_id_table = "temp_snowflake_ids" + cursor.execute(f"DROP TEMPORARY TABLE IF EXISTS {temp_id_table}") + + cursor.execute(f""" + CREATE TEMPORARY TABLE {temp_id_table} ( + record_id BIGINT PRIMARY KEY, + snowflake_id BIGINT UNIQUE + ) + """) + + # 批量插入ID映射 + id_mapping = list(zip(record_ids, snowflake_ids)) + cursor.executemany(f""" + INSERT INTO {temp_id_table} (record_id, snowflake_id) VALUES (%s, %s) + """, id_mapping) + + # 使用INSERT IGNORE直接导入数据 + insert_sql = f""" + INSERT IGNORE INTO {self.production_table} ( + id, tenant_id, create_dept, create_by, create_time, + update_by, update_time, deleted, + academic_year, semester, month, + student_id, class_id, class_teacher_id, + score, remark + ) + SELECT + t.snowflake_id, + '{self.tenant_id}', + NULL, + {self.create_by}, + '{current_time.strftime('%Y-%m-%d %H:%M:%S')}', + {self.update_by}, + '{current_time.strftime('%Y-%m-%d %H:%M:%S')}', + 0, + p.academic_year, p.semester, p.month, + p.student_id, p.class_id, p.class_teacher_id, + p.score, COALESCE(p.remark, '') + FROM {self.temp_parsed_table} p + INNER JOIN {temp_id_table} t ON p.id = t.record_id + WHERE p.class_teacher_id IS NOT NULL + """ + + cursor.execute(insert_sql) + imported_count = cursor.rowcount + + # 计算重复和错误数量 + total_processed = len(record_ids) + duplicates = total_processed - imported_count + errors = 0 # INSERT IGNORE不会产生错误，只有重复 + + self.connection.commit() + + # 清理临时表 + cursor.execute(f"DROP TEMPORARY TABLE {temp_id_table}") + + return { + 'imported': imported_count, + 'duplicates': duplicates, + 'errors': errors + } + + except Exception as e: + logger.error(f"直接导入数据失败: {e}") + self.connection.rollback() + return {'imported': 0, 'duplicates': 0, 'errors': len(record_ids)} + + def update_status_after_import(self, record_ids: List[int], imported_count: int, duplicate_count: int) -> None: + """根据导入结果更新状态""" + try: + with self.connection.cursor() as cursor: + # 更新已导入的记录状态 + if imported_count > 0: + imported_ids = record_ids[:imported_count] + placeholders = ','.join(['%s'] * len(imported_ids)) + cursor.execute(f""" + UPDATE {self.temp_parsed_table} + SET processing_status = 'imported', update_time = NOW() + WHERE id IN ({placeholders}) + """, imported_ids) + + # 更新重复的记录状态 + if duplicate_count > 0: + duplicate_ids = record_ids[imported_count:imported_count + duplicate_count] + placeholders = ','.join(['%s'] * len(duplicate_ids)) + cursor.execute(f""" + UPDATE {self.temp_parsed_table} + SET processing_status = 'duplicate', error_msg = '数据已存在', update_time = NOW() + WHERE id IN ({placeholders}) + """, duplicate_ids) + + self.connection.commit() + + except Exception as e: + logger.error(f"更新状态失败: {e}") + self.connection.rollback() + + def get_statistics(self) -> Dict[str, Any]: + """获取处理统计""" + try: + with self.connection.cursor() as cursor: + # 中间表统计 + sql_parsed = f""" + SELECT + COUNT(*) as total, + SUM(CASE WHEN processing_status = 'linked' THEN 1 ELSE 0 END) as pending, + SUM(CASE WHEN processing_status = 'imported' THEN 1 ELSE 0 END) as imported, + SUM(CASE WHEN processing_status = 'duplicate' THEN 1 ELSE 0 END) as duplicate, + SUM(CASE WHEN processing_status = 'import_error' THEN 1 ELSE 0 END) as error + FROM {self.temp_parsed_table} + """ + + cursor.execute(sql_parsed) + parsed_stats = cursor.fetchone() + + # 正式表统计 + sql_production = f""" + SELECT COUNT(*) as total_production + FROM {self.production_table} + WHERE deleted = 0 + """ + + cursor.execute(sql_production) + production_stats = cursor.fetchone() + + return { + 'parsed_total': parsed_stats[0] or 0, + 'parsed_pending': parsed_stats[1] or 0, + 'parsed_imported': parsed_stats[2] or 0, + 'parsed_duplicate': parsed_stats[3] or 0, + 'parsed_error': parsed_stats[4] or 0, + 'production_total': production_stats[0] or 0 + } + + except Exception as e: + logger.error(f"获取统计信息失败: {e}") + return {} + + def run(self, reprocess: bool = False) -> bool: + """执行导入流程（简化版本）""" + start_time = time.time() + + try: + self.connect_db() + + # 显示初始统计 + initial_stats = self.get_statistics() + if reprocess: + logger.info("重新处理模式：将重新处理所有已关联的数据") + else: + logger.info("正常处理模式：仅处理待导入的数据") + logger.info("正式表导入处理开始") + logger.info(f"当前状态: 中间表总计{initial_stats.get('parsed_total', 0)}条记录，") + logger.info(f" 待导入: {initial_stats.get('parsed_pending', 0)}") + logger.info(f" 已导入: {initial_stats.get('parsed_imported', 0)}") + logger.info(f" 重复数据: {initial_stats.get('parsed_duplicate', 0)}") + logger.info(f" 导入错误: {initial_stats.get('parsed_error', 0)}") + logger.info(f"正式表当前总记录数: {initial_stats.get('production_total', 0)}") + + # 获取所有待处理的记录ID + record_ids = self.get_pending_ids(reprocess) + if not record_ids: + logger.info("没有待处理的记录") + return True + + logger.info(f"开始直接导入 {len(record_ids)} 条记录...") + + # 直接导入所有数据 + result = self.import_data_directly(record_ids) + + # 更新状态 + self.update_status_after_import(record_ids, result['imported'], result['duplicates']) + + # 显示最终统计 + final_stats = self.get_statistics() + logger.info("="*50) + logger.info("正式表导入统计结果:") + logger.info(f" 处理总记录: {len(record_ids)}") + logger.info(f" 成功导入: {result['imported']}") + logger.info(f" 重复跳过: {result['duplicates']}") + logger.info(f" 导入失败: {result['errors']}") + logger.info(f" 最终状态:") + logger.info(f" - 中间表已导入: {final_stats.get('parsed_imported', 0)}") + logger.info(f" - 中间表重复: {final_stats.get('parsed_duplicate', 0)}") + logger.info(f" - 中间表错误: {final_stats.get('parsed_error', 0)}") + logger.info(f" - 正式表总记录: {final_stats.get('production_total', 0)}") + logger.info(f"导入总耗时: {elapsed_time:.1f}秒") + logger.info("="*50) + + success = result['errors'] == 0 + if not success: + logger.warning(f"有{result['errors']}条记录导入失败，请检查日志") + + return success + + except Exception as e: + logger.error(f"导入过程出现错误: {e}") + return False + + finally: + self.disconnect_db() + elapsed_time = time.time() - start_time + logger.info(f"导入总耗时: {elapsed_time:.1f}秒") +def main(): + """主函数""" + parser = argparse.ArgumentParser(description='学生操行分历史数据 - 正式导入处理') + parser.add_argument('--reprocess', action='store_true', + help='重新处理已导入的数据（忽略processing_status状态）') + + args = parser.parse_args() + + logger.info("="*60) + logger.info("学生操行分历史数据迁移 - 脚本4：正式导入处理") + if args.reprocess: + logger.info("模式: 重新处理所有已关联的数据") + else: + logger.info("模式: 仅处理待导入的数据") + logger.info("="*60) + + # 创建logs目录 + import os + os.makedirs("logs", exist_ok=True) + + # 执行导入 + importer = ProductionImporter() + success = importer.run(reprocess=args.reprocess) + + if success: + logger.info("✅ 正式表导入处理完成") + sys.exit(0) + else: + logger.error("❌ 正式表导入处理失败") + sys.exit(1) + +if __name__ == "__main__": + main() diff --git a/学校学生操行历史数据迁移/05_validate_and_cleanup.py b/学校学生操行历史数据迁移/05_validate_and_cleanup.py new file mode 100644 index 00000000..216c746d --- /dev/null +++ b/学校学生操行历史数据迁移/05_validate_and_cleanup.py @@ -0,0 +1,425 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +学生操行分历史数据迁移 - 脚本5：验证与清理 + +功能说明： +- 验证迁移结果的完整性和正确性 +- 生成详细的迁移报告 +- 可选择清理临时表和日志 + +执行方式： +python 05_validate_and_cleanup.py [--cleanup] + +注意事项： +- 默认只做验证，不清理数据 +- 使用--cleanup参数才会清理临时表 +""" + +from __future__ import annotations + +import argparse +import csv +import logging +import sys +import time +from datetime import datetime +from pathlib import Path +from typing import Any, Dict, List, Optional + +import pymysql +from pymysql.cursors import DictCursor + +from db_config import DB_CONFIG, TABLE_CONFIG, CONSTANTS + +# 配置日志 +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s %(levelname)s %(message)s", + handlers=[ + logging.StreamHandler(sys.stdout), + logging.FileHandler("logs/05_validate_cleanup.log", mode='a', encoding='utf-8') + ] +) +logger = logging.getLogger("validate_cleanup") + +class MigrationValidator: + """迁移验证和清理处理器""" + + def __init__(self, cleanup: bool = False): + self.db_config = DB_CONFIG + self.temp_import_table = TABLE_CONFIG["temp_import"] + self.temp_parsed_table = TABLE_CONFIG["temp_parsed"] + self.production_table = TABLE_CONFIG["production"] + self.students_table = TABLE_CONFIG["students"] + self.classes_table = TABLE_CONFIG["classes"] + self.cleanup = cleanup + self.connection = None + self.report_data = {} + + def connect_db(self) -> None: + """连接数据库""" + try: + self.connection = pymysql.connect(**self.db_config) + logger.info("数据库连接成功") + except Exception as e: + logger.error(f"数据库连接失败: {e}") + raise + + def disconnect_db(self) -> None: + """断开数据库连接""" + if self.connection: + self.connection.close() + logger.info("数据库连接已断开") + + def get_migration_statistics(self) -> Dict[str, Any]: + """获取迁移统计数据""" + try: + with self.connection.cursor(DictCursor) as cursor: + stats = {} + + # Excel导入表统计 + sql_import = f""" + SELECT + COUNT(*) as total_import, + SUM(CASE WHEN import_status = 'pending' THEN 1 ELSE 0 END) as pending_import, + SUM(CASE WHEN import_status = 'parsed' THEN 1 ELSE 0 END) as parsed_import, + SUM(CASE WHEN import_status = 'error' THEN 1 ELSE 0 END) as error_import + FROM {self.temp_import_table} + """ + cursor.execute(sql_import) + stats.update(cursor.fetchone()) + + # 解析表统计 + sql_parsed = f""" + SELECT + COUNT(*) as total_parsed, + SUM(CASE WHEN processing_status = 'parsed' THEN 1 ELSE 0 END) as pending_parsed, + SUM(CASE WHEN processing_status = 'linked' THEN 1 ELSE 0 END) as linked_parsed, + SUM(CASE WHEN processing_status = 'imported' THEN 1 ELSE 0 END) as imported_parsed, + SUM(CASE WHEN processing_status = 'duplicate' THEN 1 ELSE 0 END) as duplicate_parsed, + SUM(CASE WHEN processing_status = 'error' THEN 1 ELSE 0 END) as error_parsed + FROM {self.temp_parsed_table} + """ + cursor.execute(sql_parsed) + stats.update(cursor.fetchone()) + + # 正式表统计 + sql_production = f""" + SELECT COUNT(*) as total_production + FROM {self.production_table} + WHERE deleted = 0 + """ + cursor.execute(sql_production) + production_result = cursor.fetchone() + stats['total_production'] = production_result['total_production'] + + # 数据质量检查 + sql_quality = f""" + SELECT + COUNT(*) as invalid_scores, + SUM(CASE WHEN score < 0 OR score > 100 THEN 1 ELSE 0 END) as out_of_range_scores + FROM {self.production_table} + WHERE deleted = 0 + """ + cursor.execute(sql_quality) + quality_result = cursor.fetchone() + stats.update(quality_result) + + return stats + + except Exception as e: + logger.error(f"获取统计数据失败: {e}") + return {} + + def validate_data_integrity(self) -> Dict[str, Any]: + """验证数据完整性""" + issues = [] + + try: + with self.connection.cursor(DictCursor) as cursor: + # 检查孤立记录（学生不存在） + sql_orphan_students = f""" + SELECT COUNT(*) as count + FROM {self.production_table} cs + LEFT JOIN {self.students_table} s ON cs.student_id = s.id + WHERE cs.deleted = 0 AND (s.id IS NULL OR s.deleted = 1) + """ + cursor.execute(sql_orphan_students) + orphan_students = cursor.fetchone()['count'] + if orphan_students > 0: + issues.append(f"发现{orphan_students}条学生ID不存在的记录") + + # 检查孤立记录（班级不存在） + sql_orphan_classes = f""" + SELECT COUNT(*) as count + FROM {self.production_table} cs + LEFT JOIN {self.classes_table} c ON cs.class_id = c.id + WHERE cs.deleted = 0 AND cs.class_id IS NOT NULL AND (c.id IS NULL OR c.deleted = 1) + """ + cursor.execute(sql_orphan_classes) + orphan_classes = cursor.fetchone()['count'] + if orphan_classes > 0: + issues.append(f"发现{orphan_classes}条班级ID不存在的记录") + + # 检查重复记录 + sql_duplicates = f""" + SELECT COUNT(*) as count + FROM ( + SELECT student_id, academic_year, semester, month, COUNT(*) as cnt + FROM {self.production_table} + WHERE deleted = 0 + GROUP BY student_id, academic_year, semester, month + HAVING cnt > 1 + ) t + """ + cursor.execute(sql_duplicates) + duplicates = cursor.fetchone()['count'] + if duplicates > 0: + issues.append(f"发现{duplicates}组重复记录（同一学生同月有多条记录）") + + # 检查异常分数 + sql_invalid_scores = f""" + SELECT COUNT(*) as count + FROM {self.production_table} + WHERE deleted = 0 AND (score < 0 OR score > 100 OR score IS NULL) + """ + cursor.execute(sql_invalid_scores) + invalid_scores = cursor.fetchone()['count'] + if invalid_scores > 0: + issues.append(f"发现{invalid_scores}条分数不在0-100范围内的记录") + + return { + 'issues': issues, + 'orphan_students': orphan_students, + 'orphan_classes': orphan_classes, + 'duplicates': duplicates, + 'invalid_scores': invalid_scores + } + + except Exception as e: + logger.error(f"数据完整性验证失败: {e}") + return {'issues': [f"验证过程出错: {str(e)}"], 'error': True} + + def generate_detailed_report(self) -> str: + """生成详细报告""" + stats = self.get_migration_statistics() + integrity = self.validate_data_integrity() + + report_lines = [] + report_lines.append("="*80) + report_lines.append("学生操行分历史数据迁移报告") + report_lines.append("="*80) + report_lines.append(f"生成时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}") + report_lines.append("") + + # 总体统计 + report_lines.append("📊 总体统计") + report_lines.append("-" * 40) + report_lines.append(f"Excel原始记录: {stats.get('total_import', 0)}") + report_lines.append(f"解析后月度记录: {stats.get('total_parsed', 0)}") + report_lines.append(f"正式表总记录: {stats.get('total_production', 0)}") + report_lines.append("") + + # 各阶段处理情况 + report_lines.append("🔄 处理阶段详情") + report_lines.append("-" * 40) + report_lines.append(f"Excel导入 - 待处理: {stats.get('pending_import', 0)}") + report_lines.append(f"Excel导入 - 已解析: {stats.get('parsed_import', 0)}") + report_lines.append(f"Excel导入 - 解析失败: {stats.get('error_import', 0)}") + report_lines.append("") + report_lines.append(f"数据解析 - 待关联: {stats.get('pending_parsed', 0)}") + report_lines.append(f"数据解析 - 已关联: {stats.get('linked_parsed', 0)}") + report_lines.append(f"数据解析 - 已导入: {stats.get('imported_parsed', 0)}") + report_lines.append(f"数据解析 - 重复跳过: {stats.get('duplicate_parsed', 0)}") + report_lines.append(f"数据解析 - 处理失败: {stats.get('error_parsed', 0)}") + report_lines.append("") + + # 数据质量检查 + report_lines.append("✅ 数据质量检查") + report_lines.append("-" * 40) + report_lines.append(f"分数范围异常: {stats.get('out_of_range_scores', 0)}") + report_lines.append("") + + # 数据完整性验证 + report_lines.append("🔍 数据完整性验证") + report_lines.append("-" * 40) + if integrity.get('issues'): + for issue in integrity['issues']: + report_lines.append(f"❌ {issue}") + else: + report_lines.append("✅ 所有完整性检查通过") + + report_lines.append("") + report_lines.append(f"孤立学生记录: {integrity.get('orphan_students', 0)}") + report_lines.append(f"孤立班级记录: {integrity.get('orphan_classes', 0)}") + report_lines.append(f"重复记录组数: {integrity.get('duplicates', 0)}") + report_lines.append(f"无效分数记录: {integrity.get('invalid_scores', 0)}") + report_lines.append("") + + # 计算成功率 + total_import = stats.get('total_import', 0) + total_production = stats.get('total_production', 0) + success_rate = (total_production / total_import * 100) if total_import > 0 else 0 + + report_lines.append("📈 迁移成功率") + report_lines.append("-" * 40) + report_lines.append(".1f") + report_lines.append("") + + # 结论 + report_lines.append("🎯 迁移结论") + report_lines.append("-" * 40) + if not integrity.get('issues') and success_rate >= 95: + report_lines.append("✅ 迁移成功：数据完整，质量良好") + elif success_rate >= 80: + report_lines.append("⚠️ 迁移基本成功：存在少量问题，建议检查") + else: + report_lines.append("❌ 迁移失败：存在严重问题，需要重新处理") + + report_lines.append("="*80) + + return "\n".join(report_lines) + + def export_error_details(self) -> None: + """导出错误详情到CSV文件""" + try: + with self.connection.cursor(DictCursor) as cursor: + # 导出解析失败的记录 + sql_parse_errors = f""" + SELECT ti.student_no, ti.academic_year_str, ti.semester_str, + ti.monthly_scores, ti.error_msg as import_error + FROM {self.temp_import_table} ti + WHERE ti.import_status = 'error' + """ + + cursor.execute(sql_parse_errors) + parse_errors = cursor.fetchall() + + if parse_errors: + with open('migration_parse_errors.csv', 'w', newline='', encoding='utf-8-sig') as f: + if parse_errors: + writer = csv.DictWriter(f, fieldnames=parse_errors[0].keys()) + writer.writeheader() + writer.writerows(parse_errors) + logger.info(f"导出{len(parse_errors)}条解析错误记录到 migration_parse_errors.csv") + + # 导出关联失败的记录 + sql_link_errors = f""" + SELECT tp.student_no, tp.academic_year, tp.semester, tp.month, + tp.score, tp.error_msg as link_error + FROM {self.temp_parsed_table} tp + WHERE tp.processing_status = 'error' + """ + + cursor.execute(sql_link_errors) + link_errors = cursor.fetchall() + + if link_errors: + with open('migration_link_errors.csv', 'w', newline='', encoding='utf-8-sig') as f: + if link_errors: + writer = csv.DictWriter(f, fieldnames=link_errors[0].keys()) + writer.writeheader() + writer.writerows(link_errors) + logger.info(f"导出{len(link_errors)}条关联错误记录到 migration_link_errors.csv") + + except Exception as e: + logger.error(f"导出错误详情失败: {e}") + + def cleanup_temp_tables(self) -> bool: + """清理临时表""" + if not self.cleanup: + logger.info("跳过清理操作（使用--cleanup参数启用）") + return True + + try: + logger.warning("开始清理临时表数据...") + with self.connection.cursor() as cursor: + # 删除临时表 + cursor.execute(f"DROP TABLE IF EXISTS {self.temp_parsed_table}") + cursor.execute(f"DROP TABLE IF EXISTS {self.temp_import_table}") + + # 可选：删除迁移日志表 + cursor.execute("DROP TABLE IF EXISTS temp_conduct_score_migration_log") + + self.connection.commit() + + logger.info("临时表清理完成") + return True + + except Exception as e: + logger.error(f"清理临时表失败: {e}") + self.connection.rollback() + return False + + def run(self) -> bool: + """执行验证和清理流程""" + start_time = time.time() + + try: + self.connect_db() + + logger.info("开始迁移验证和清理") + + # 生成报告 + report = self.generate_detailed_report() + print("\n" + report + "\n") + + # 保存报告到文件 + report_file = f"migration_report_{datetime.now().strftime('%Y%m%d_%H%M%S')}.txt" + with open(report_file, 'w', encoding='utf-8') as f: + f.write(report) + logger.info(f"详细报告已保存到: {report_file}") + + # 导出错误详情 + self.export_error_details() + + # 清理临时表（如果指定了cleanup参数） + cleanup_success = self.cleanup_temp_tables() + + return cleanup_success + + except Exception as e: + logger.error(f"验证和清理过程出现错误: {e}") + return False + + finally: + self.disconnect_db() + elapsed_time = time.time() - start_time + logger.info(f"验证总耗时: {elapsed_time:.1f}秒") +def main(): + """主函数""" + parser = argparse.ArgumentParser(description='学生操行分历史数据 - 验证与清理') + parser.add_argument('--cleanup', action='store_true', + help='清理临时表数据（默认只验证不清理）') + + args = parser.parse_args() + + logger.info("="*60) + logger.info("学生操行分历史数据迁移 - 脚本5：验证与清理") + if args.cleanup: + logger.warning("⚠️ 已启用清理模式，将删除临时表数据") + else: + logger.info("ℹ️ 验证模式：只检查数据，不清理临时表") + logger.info("="*60) + + # 创建logs目录 + import os + os.makedirs("logs", exist_ok=True) + + # 执行验证和清理 + validator = MigrationValidator(cleanup=args.cleanup) + success = validator.run() + + if success: + if args.cleanup: + logger.info("✅ 验证和清理处理完成") + else: + logger.info("✅ 验证处理完成") + sys.exit(0) + else: + logger.error("❌ 验证和清理处理失败") + sys.exit(1) + +if __name__ == "__main__": + main() diff --git a/学校学生操行历史数据迁移/README-Python兼容性.md b/学校学生操行历史数据迁移/README-Python兼容性.md new file mode 100644 index 00000000..1b46b9bf --- /dev/null +++ b/学校学生操行历史数据迁移/README-Python兼容性.md @@ -0,0 +1,169 @@ +# Python版本兼容性说明 + +## 问题分析 + +原始脚本使用了Python 3.7+的语法特性，在Python 3.6环境运行报错： + +``` +SyntaxError: invalid syntax +``` + +### 具体问题 +1. **`from __future__ import annotations`** - Python 3.7+特性 +2. **类型注解语法** `-> None` - 在`__future__`导入后变为强制语法 + +## 解决方案 + +### 文件版本说明 + +| 文件名 | Python版本 | 特性支持 | 适用环境 | +|--------|-----------|----------|----------| +| `02_parse_score_data_fixed.py` | 3.7+ | 类型注解 + f-string | 开发环境 | +| `02_parse_score_data_py36.py` | 3.6+ | 移除类型注解 | 兼容版本 | +| `02_parse_score_data_py36_compatible.py` | 3.6+ | 移除类型注解 + .format()格式 | 中等兼容环境 | +| `02_parse_score_data_py34_compatible.py` | 3.4+ | 无typing模块 + .format()格式 | **超老环境推荐** | + +### 常见错误及解决方案 + +#### 错误：`ImportError: No module named typing` +**原因**: Python版本过低（< 3.5）或未安装typing模块 +**解决**: 使用 `02_parse_score_data_py34_compatible.py` + +#### 错误：`SyntaxError: invalid syntax` (f-string) +**原因**: Python版本不支持f-string（< 3.6） +**解决**: 使用带`.format()`的兼容版本 + +#### 错误：`SyntaxError: invalid syntax` (类型注解) +**原因**: Python版本不支持类型注解语法 +**解决**: 使用移除类型注解的版本 + +### 生产环境使用 + +#### 方法1：智能启动脚本（强烈推荐） +```bash +# 自动检测Python版本和可用模块，自动选择最合适的脚本版本 +./run_parser.sh + +# 查看运行日志 +tail -f 2.log +``` + +#### 方法2：手动选择版本 +```bash +# 对于超老环境（Python < 3.6 或无typing模块） +nohup python3 02_parse_score_data_py34_compatible.py > 2.log 2>&1 & + +# 对于Python 3.6环境 +nohup python3 02_parse_score_data_py36_compatible.py > 2.log 2>&1 & +``` + +#### 方法2：直接运行 +```bash +# Python 3.6环境使用完全兼容版本 +nohup python3 02_parse_score_data_py36_compatible.py > 2.log 2>&1 & + +# 查看运行日志 +tail -100f 2.log +``` + +#### 进程管理 +```bash +# 查看进程状态 +ps aux | grep python + +# 停止进程 +kill $(cat parser.pid) + +# 查看日志统计 +grep "解析成功" 2.log | wc -l # 成功记录数 +grep "解析失败" 2.log | wc -l # 失败记录数 +``` + +### 版本对比 + +#### 02_parse_score_data_py36_compatible.py (推荐用于生产环境) +- ✅ 完全兼容Python 3.6 +- ✅ 使用 `.format()` 替代 f-string +- ✅ 移除所有类型注解 +- ✅ 避免复杂的字符串嵌套表达式 +- ✅ 稳定的生产环境运行 + +### 代码修改内容 + +#### 移除的特性 +```python +# 移除此行 +from __future__ import annotations + +# 函数定义从： +def connect_db(self) -> None: +# 改为： +def connect_db(self): +``` + +#### 保持兼容的特性 +- f-string (Python 3.6+) +- `pathlib` (Python 3.6+) +- `dataclasses` (Python 3.7+但未使用) + +## 版本检测脚本 + +```bash +# 检查Python版本 +python3 --version + +# 检查语法兼容性 +python3 -m py_compile 02_parse_score_data_py36.py +``` + +## 环境升级建议 + +如果可能，建议升级生产环境到Python 3.8+，这样可以： +- 使用更新的pandas版本 +- 获得更好的性能 +- 支持完整的类型注解语法 +- 使用现代的异步特性 + +## 故障排除指南 + +#### 问题1：`ImportError: No module named typing` +```bash +# 原因：Python版本过低（< 3.5） +# 解决：使用无typing版本 +python3 02_parse_score_data_py34_compatible.py +``` + +#### 问题2：`SyntaxError: invalid syntax` (f-string相关) +```bash +# 原因：Python版本不支持f-string（< 3.6） +# 解决：使用.format()版本 +python3 02_parse_score_data_py36_compatible.py +``` + +#### 问题3：依赖安装失败 +```bash +# 检查依赖安装 +pip3 install --user -r requirements-prod.txt +python3 test_dependencies.py +``` + +#### 问题4：数据库连接问题 +```bash +# 检查数据库配置 +python3 -c "from db_config import DB_CONFIG; print('配置正确')" +``` + +#### 通用诊断命令 +```bash +# 检查Python版本 +python3 --version + +# 检查typing模块 +python3 -c "import typing; print('typing可用')" 2>/dev/null || echo "无typing模块" + +# 检查依赖 +python3 -c "import pymysql, pandas, sqlalchemy; print('依赖正常')" + +# 测试脚本语法 +python3 -m py_compile 02_parse_score_data_py34_compatible.py && echo "语法正确" +``` diff --git a/学校学生操行历史数据迁移/README-生产环境部署.md b/学校学生操行历史数据迁移/README-生产环境部署.md new file mode 100644 index 00000000..10c1c179 --- /dev/null +++ b/学校学生操行历史数据迁移/README-生产环境部署.md @@ -0,0 +1,82 @@ +# 生产环境依赖安装指南 + +## 问题分析 + +生产环境Python 3.6 + GCC 4.8.2存在以下兼容性问题： + +1. **GCC版本过低**: GCC 4.8.2不支持C++11标准 +2. **greenlet编译失败**: SQLAlchemy 1.4.x需要greenlet，而greenlet需要C++11编译器 +3. **Python版本限制**: Python 3.6对新版本包的支持有限 + +## 解决方案对比 + +| 方案 | requirements.txt | requirements-prod.txt | 说明 | +|------|------------------|----------------------|------| +| **适用环境** | Python 3.8+ + GCC 5.0+ | Python 3.6 + GCC 4.8 | 当前生产环境 | +| **pandas** | 1.3.0-2.0.0 | 1.1.5 | 固定版本，避免编译 | +| **sqlalchemy** | 1.4.0-2.0.0 | 1.2.19 | 1.2.x无需greenlet | +| **编译依赖** | 需要C++11编译器 | 无需编译 | ✅ **推荐** | + +## 生产环境安装命令 + +```bash +cd 学校学生操行历史数据迁移 + +# 推荐方案：使用预编译版本（无需编译） +pip3 install --user -r requirements-prod.txt + +# 验证安装 +python3 test_dependencies.py +``` + +## 版本说明 + +### requirements-prod.txt (推荐用于生产环境) +- **pandas==1.1.5**: 稳定的预编译版本 +- **sqlalchemy==1.2.19**: 不依赖greenlet，无需C++编译 +- **pymysql==0.9.3**: 纯Python实现 +- **xlrd==1.2.0**: Excel读取库 +- **openpyxl==2.6.4**: Excel写入库 + +### requirements.txt (需要现代化环境) +- 需要Python 3.8+和GCC 5.0+ +- 如果生产环境满足条件，可使用此配置获得更好性能 + +## 故障排除 + +### 如果仍有编译问题 +```bash +# 检查GCC版本 +gcc --version + +# 检查Python版本 +python3 --version + +# 强制使用预编译版本 +pip3 install --user --only-binary=all -r requirements-prod.txt +``` + +### 验证安装成功 +```bash +python3 -c " +import pandas as pd +import sqlalchemy +import pymysql +import xlrd +import openpyxl +print('所有依赖安装成功！') +" +``` + +## 技术细节 + +- **greenlet问题**: 是SQLAlchemy异步功能依赖，但同步操作不需要 +- **C++11要求**: greenlet使用现代C++特性，旧编译器不支持 +- **版本选择**: 优先选择有wheel包的版本，避免源码编译 + +## 升级建议 + +如果可能，建议生产环境升级到： +- Python 3.8+ +- GCC 7.0+ +- 这样可以使用更新的包版本获得更好性能 diff --git a/学校学生操行历史数据迁移/README.md b/学校学生操行历史数据迁移/README.md new file mode 100644 index 00000000..bedcbf83 --- /dev/null +++ b/学校学生操行历史数据迁移/README.md @@ -0,0 +1,210 @@ +# 学生操行分历史数据迁移工具 + +## 📋 概述 + +本工具用于将学校历史操行分数据从Excel文件导入到校园管理系统数据库中。支持完整的迁移流程，包括数据导入、解析、关联、导入和验证。 + +## 🎯 迁移流程 + +### 数据处理流程 +``` +Excel文件 → 临时表导入 → 数据解析 → 学生关联 → 正式导入 → 验证清理 +``` + +### 脚本执行顺序 +1. **01_import_excel_to_temp.py** - Excel数据导入临时表 +2. **02_parse_score_data.py** - 数据解析处理 +3. **03_link_student_data.py** - 数据关联处理 +4. **04_import_to_production.py** - 正式导入处理 +5. **05_validate_and_cleanup.py** - 验证与清理 + +## 🚀 快速开始 + +### 1. 环境准备 + +```bash +# 安装依赖 +pip install -r requirements.txt + +# 确保Excel文件存在 +ls -la 操行.xls +``` + +### 2. 创建临时表 + +```bash +# 连接到数据库，执行建表脚本 +mysql -h 47.99.164.66 -u root -p hzdyjs_xg < create_temp_tables.sql +``` + +### 3. 执行完整迁移 + +```bash +# 一键执行所有步骤 +python import_conduct_score_history.py +``` + +### 4. 分步骤执行（推荐用于调试） + +```bash +# 步骤1：Excel导入 +python 01_import_excel_to_temp.py + +# 步骤2：数据解析 +python 02_parse_score_data.py + +# 步骤3：数据关联 +python 03_link_student_data.py + +# 步骤4：正式导入 +python 04_import_to_production.py + +# 步骤5：验证清理 +python 05_validate_and_cleanup.py +``` + +## 📊 数据格式说明 + +### Excel文件要求 +- 文件名：`操行.xls` +- 必需列：`学号`、`学年`、`学期`、`平时分数` +- 其他列：`姓名`、`性别`、`民族`、`最终分`、`等级`、`院系`、`专业`、`班级`、`年级` + +### 数据格式转换 + +#### 学年格式 +- Excel: `2015-2016` +- 数据库: `2015` + +#### 学期格式 +- Excel: `第一学期` → 数据库: `1` +- Excel: `第二学期` → 数据库: `2` + +#### 平时分数格式 +- Excel: `一月:90,九月:85,十月:85,十一月:90,十二月:85` +- 数据库: 多条月度记录，每条记录一个月份的分数 + +## 🛠️ 高级用法 + +### 从指定步骤开始执行 + +```bash +# 从步骤3开始执行（适用于断点续传） +python import_conduct_score_history.py --start-from 3 +``` + +### 仅执行验证 + +```bash +# 只执行验证步骤，不执行迁移 +python import_conduct_score_history.py --validate-only +``` + +### 清理临时数据 + +```bash +# 验证完成后清理临时表 +python 05_validate_and_cleanup.py --cleanup +``` + +## 📋 配置说明 + +### 数据库配置 (db_config.py) +- 数据库连接信息 +- 表名映射 +- 常量配置 +- 月度和学期映射 + +### 日志文件 +- `logs/01_import_excel.log` - Excel导入日志 +- `logs/02_parse_data.log` - 数据解析日志 +- `logs/03_link_data.log` - 数据关联日志 +- `logs/04_import_production.log` - 正式导入日志 +- `logs/05_validate_cleanup.log` - 验证清理日志 +- `logs/migration_main.log` - 主控制脚本日志 + +## 🔍 验证与监控 + +### 自动验证 +脚本5会自动进行以下验证： +- 数据完整性检查 +- 关联关系验证 +- 重复数据检查 +- 分数范围验证 + +### 错误处理 +- 解析失败的记录会标记为error状态 +- 关联失败的记录会记录错误信息 +- 导入失败的记录会回滚并记录 + +### 输出文件 +- `migration_report_YYYYMMDD_HHMMSS.txt` - 详细迁移报告 +- `migration_parse_errors.csv` - 解析错误详情 +- `migration_link_errors.csv` - 关联错误详情 + +## ⚠️ 注意事项 + +### 数据安全 +- 导入前会检查重复数据，避免重复导入 +- 事务处理确保数据一致性 +- 支持断点续传，不会因为中断丢失进度 + +### 性能考虑 +- 大批量处理，自动分批提交 +- 索引优化，提升查询性能 +- 内存管理，避免大文件导致内存溢出 + +### 错误恢复 +- 每个步骤都可以独立重试 +- 错误记录详细，便于问题定位 +- 支持部分成功场景的继续处理 + +## 🐛 故障排除 + +### 常见问题 + +1. **Excel文件不存在** + - 检查文件路径和文件名 + - 确保文件在当前目录 + +2. **数据库连接失败** + - 检查网络连接 + - 验证数据库配置 + - 确认用户权限 + +3. **数据解析失败** + - 检查Excel数据格式 + - 查看错误日志详情 + - 手动修复数据后重试 + +4. **学生关联失败** + - 检查学号是否存在于学生表 + - 确认学生状态为有效 + - 查看关联错误CSV文件 + +### 调试模式 + +```bash +# 查看详细日志 +tail -f logs/migration_main.log + +# 检查临时表数据 +mysql -e "SELECT COUNT(*) FROM temp_conduct_score_import;" + +# 查看错误记录 +mysql -e "SELECT * FROM temp_conduct_score_parsed WHERE processing_status = 'error' LIMIT 5;" +``` + +## 📞 技术支持 + +如遇到问题，请： +1. 查看相关日志文件 +2. 检查错误输出文件 +3. 确认数据格式正确性 +4. 联系技术支持团队 + +## 📝 更新日志 + +- v1.0.0 (2025-01-XX): 初始版本，支持完整迁移流程 +- 支持断点续传和错误恢复 +- 自动验证和报告生成 diff --git a/学校学生操行历史数据迁移/__pycache__/01_import_excel_to_temp.cpython-312.pyc b/学校学生操行历史数据迁移/__pycache__/01_import_excel_to_temp.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..daf9540777a89e9c14a2447a25a2db5e69684bcd GIT binary patch literal 17524 zcmd6OdsG|Oo$!n_dXFUD4M*bRx@FYcyEvuF35ZzfU}Rdvso-6FvMe4(*((slm%e)o=M zB(NNsbkFH`Io!Fr@B6#={@(ZBj7B{H;pETTJmV_~;!o&@6mSVakXJ(_L7X5MqMcw! zM&Tv973~TVrIlV~yApq?b_#!0?JE3Lx2xexc{Sadb`7qp@@l(v?K+%Rd-dIhc0)Ja zPInvIjoqepQ=&g}dj@Ww*`5hsjW?@1yFDA1X}vk!x$U{#dF^@K`R(~6p&;B;*Dcay zlV8YPo%|)G7#*&^M*5xnx>a54lE0+XtFUGiaH|bsIyGkWjDexg8DCY3xt)r0CMlhm zTYYMMG0m8ze%nhF#4du#c#2>$UsZ^u?WIiCQ$)MXy@bg=R7DW17Dl(dn&^fk`jmZ2 zdrsg7Fg1PrwO`Ks`1JJgqqAp@#6!=-pL-@g^yc(W#;1?IKKuR?GcRATt+35L^}_V2 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学生操行分历史数据迁移 - 临时表创建脚本 +-- 执行时间：2025-01-XX +-- 执行人：系统管理员 + +-- =========================================== +-- 临时表1：存储Excel原始数据 +-- =========================================== +DROP TABLE IF EXISTS temp_conduct_score_import; +CREATE TABLE temp_conduct_score_import ( + id BIGINT AUTO_INCREMENT PRIMARY KEY COMMENT '主键ID', + student_no VARCHAR(50) NOT NULL COMMENT '学号', + student_name VARCHAR(100) COMMENT '姓名', + gender VARCHAR(10) COMMENT '性别', + ethnicity VARCHAR(50) COMMENT '民族', + academic_year_str VARCHAR(20) NOT NULL COMMENT '原始学年(2015-2016)', + semester_str VARCHAR(20) NOT NULL COMMENT '原始学期(第一学期/第二学期)', + monthly_scores TEXT NOT NULL COMMENT '平时分数(一月:90,九月:85...)', + final_score DECIMAL(5,2) COMMENT '最终分', + grade_level VARCHAR(20) COMMENT '等级', + department VARCHAR(100) COMMENT '院系', + major VARCHAR(100) COMMENT '专业', + class_name VARCHAR(100) COMMENT '班级', + grade VARCHAR(20) COMMENT '年级', + import_status VARCHAR(20) DEFAULT 'pending' COMMENT '导入状态(pending/processing/parsed/error)', + error_msg TEXT COMMENT '错误信息', + create_time DATETIME DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', + update_time DATETIME DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间', + + INDEX idx_student_no (student_no), + INDEX idx_import_status (import_status), + INDEX idx_create_time (create_time) +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='学生操行分Excel数据临时表'; + +-- =========================================== +-- 临时表2：解析后的月度分数中间表 +-- =========================================== +DROP TABLE IF EXISTS temp_conduct_score_parsed; +CREATE TABLE temp_conduct_score_parsed ( + id BIGINT AUTO_INCREMENT PRIMARY KEY COMMENT '主键ID', + temp_id BIGINT NOT NULL COMMENT '关联临时表ID', + + -- Excel原始字段（用于追溯） + student_no VARCHAR(50) NOT NULL COMMENT '学号', + academic_year_str VARCHAR(20) NOT NULL COMMENT '原始学年', + semester_str VARCHAR(20) NOT NULL COMMENT '原始学期', + + -- 解析后字段 + academic_year INT NOT NULL COMMENT '学年', + semester TINYINT NOT NULL COMMENT '学期(1/2)', + month TINYINT NOT NULL COMMENT '月份(1-12)', + score DECIMAL(5,2) NOT NULL COMMENT '月度分数', + + -- 系统关联字段 + student_id BIGINT COMMENT '学生ID', + class_id BIGINT COMMENT '班级ID', + class_teacher_id BIGINT COMMENT '班主任ID', + + -- 扩展字段 + remark VARCHAR(500) COMMENT '备注信息', + processing_status VARCHAR(20) DEFAULT 'parsed' COMMENT '处理状态(parsed/linked/imported/error)', + error_msg TEXT COMMENT '错误信息', + create_time DATETIME DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', + update_time DATETIME DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间', + + -- 索引优化 + INDEX idx_temp_id (temp_id), + INDEX idx_student_no (student_no), + INDEX idx_processing_status (processing_status), + INDEX idx_academic_year_semester (academic_year, semester), + INDEX idx_student_year_semester_month (student_no, academic_year, semester, month), + INDEX idx_create_time (create_time) +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='学生操行分解析后中间表'; + +-- =========================================== +-- 迁移日志表（可选，用于记录详细的迁移过程） +-- =========================================== +DROP TABLE IF EXISTS temp_conduct_score_migration_log; +CREATE TABLE temp_conduct_score_migration_log ( + id BIGINT AUTO_INCREMENT PRIMARY KEY COMMENT '主键ID', + script_name VARCHAR(100) NOT NULL COMMENT '脚本名称', + operation VARCHAR(100) NOT NULL COMMENT '操作类型', + record_count INT DEFAULT 0 COMMENT '处理记录数', + success_count INT DEFAULT 0 COMMENT '成功数', + error_count INT DEFAULT 0 COMMENT '失败数', + error_details TEXT COMMENT '错误详情', + start_time DATETIME NOT NULL COMMENT '开始时间', + end_time DATETIME COMMENT '结束时间', + duration_seconds INT COMMENT '耗时(秒)', + status VARCHAR(20) DEFAULT 'running' COMMENT '状态(running/success/error)', + create_time DATETIME DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', + + INDEX idx_script_operation (script_name, operation), + INDEX idx_status (status), + INDEX idx_create_time (create_time) +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='操行分迁移日志表'; diff --git a/学校学生操行历史数据迁移/db_config.py b/学校学生操行历史数据迁移/db_config.py new file mode 100644 index 00000000..f29c1c75 --- /dev/null +++ b/学校学生操行历史数据迁移/db_config.py @@ -0,0 +1,59 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +数据库配置文件 +用于学生操行分历史数据迁移脚本 +""" + +# 数据库配置信息 +DB_CONFIG = { + "host": "47.99.164.66", + "port": 3306, + "database": "hzdyjs_xg", + "user": "root", + "password": "hn02le.34lkdLKD", + "charset": "utf8mb4", + "autocommit": False, # 手动控制事务 + "connect_timeout": 60, # 连接超时时间（秒） + "read_timeout": 300, # 读取超时时间（秒） + "write_timeout": 300, # 写入超时时间（秒） + "max_allowed_packet": 67108864, # 64MB，增加包大小限制 +} + +# 表名配置 +TABLE_CONFIG = { + "temp_import": "temp_conduct_score_import", # Excel原始数据临时表 + "temp_parsed": "temp_conduct_score_parsed", # 解析后的月度分数中间表 + "production": "xg_conduct_score", # 正式操行分表 + "students": "xg_student_msg", # 学生信息表 + "classes": "xg_class_msg", # 班级信息表 + "users": "sys_user" # 用户表 +} + +# 常量配置 +CONSTANTS = { + "DEFAULT_TENANT_ID": "000000", + "DEFAULT_CREATE_BY": 1, + "DEFAULT_UPDATE_BY": 1, + "BATCH_SIZE": 500, # 批量处理大小 + "DB_RETRY_MAX": 3, # 数据库重试次数 + "EXCEL_FILE": "操行.xls", # Excel文件名 + "SNOWFLAKE_EPOCH": 1288834974657, # 雪花ID纪元时间 + "WORKER_ID": 1, # 雪花ID工作节点ID + "DATACENTER_ID": 1 # 雪花ID数据中心ID +} + +# 数据库连接重试配置（不添加到DB_CONFIG中，因为PyMySQL不支持此参数） +# max_retries 在代码中单独使用 + +# 月度映射 +MONTH_MAPPING = { + '一月': 1, '二月': 2, '三月': 3, '四月': 4, '五月': 5, '六月': 6, + '七月': 7, '八月': 8, '九月': 9, '十月': 10, '十一月': 11, '十二月': 12 +} + +# 学期映射 +SEMESTER_MAPPING = { + '第一学期': 1, + '第二学期': 2 +} diff --git a/学校学生操行历史数据迁移/diagnose_environment.py b/学校学生操行历史数据迁移/diagnose_environment.py new file mode 100644 index 00000000..0ea69fe7 --- /dev/null +++ b/学校学生操行历史数据迁移/diagnose_environment.py @@ -0,0 +1,114 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +生产环境诊断脚本 +检查Python版本、可用模块和推荐的脚本版本 +""" + +import sys +import subprocess + +def check_python_version(): + """检查Python版本""" + version = sys.version_info + version_str = "{}.{}".format(version.major, version.minor) + print("Python版本: {}".format(version_str)) + + if version.major >= 3 and version.minor >= 7: + return "full", version_str + elif version.major >= 3 and version.minor >= 6: + return "py36", version_str + else: + return "py34", version_str + +def check_module(module_name): + """检查模块是否可用""" + try: + __import__(module_name) + return True, "可用" + except ImportError: + return False, "不可用" + +def check_dependencies(): + """检查关键依赖""" + deps = ['pymysql', 'pandas', 'sqlalchemy'] + results = {} + for dep in deps: + available, status = check_module(dep) + results[dep] = (available, status) + print("依赖 {}: {}".format(dep, status)) + return results + +def recommend_script(python_level, has_typing): + """推荐使用的脚本""" + if python_level == "full" and has_typing: + return "02_parse_score_data_fixed.py", "完整功能版本" + elif python_level in ["full", "py36"] and has_typing: + return "02_parse_score_data_py36_compatible.py", "Python 3.6兼容版本" + else: + return "02_parse_score_data_py34_compatible.py", "超兼容版本（无typing）" + +def test_script_syntax(script_name): + """测试脚本语法""" + try: + subprocess.check_call([sys.executable, "-m", "py_compile", script_name], + stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) + return True, "语法正确" + except subprocess.CalledProcessError: + return False, "语法错误" + +def main(): + print("=== 生产环境诊断工具 ===") + print() + + # 检查Python版本 + python_level, version_str = check_python_version() + + # 检查typing模块 + has_typing, typing_status = check_module('typing') + print("typing模块: {}".format(typing_status)) + + print() + + # 检查依赖 + print("检查依赖包:") + deps_status = check_dependencies() + + print() + + # 推荐脚本 + script_name, script_desc = recommend_script(python_level, has_typing) + print("推荐脚本: {} ({})".format(script_name, script_desc)) + + # 测试推荐脚本语法 + syntax_ok, syntax_msg = test_script_syntax(script_name) + print("脚本语法: {}".format(syntax_msg)) + + print() + + # 给出建议 + print("=== 执行建议 ===") + + if syntax_ok: + print("✅ 环境检查通过") + print("执行命令:") + print(" nohup python3 {} > 2.log 2>&1 &".format(script_name)) + print(" tail -f 2.log") + else: + print("❌ 发现问题，请检查环境配置") + + # 检查是否有缺失的依赖 + missing_deps = [dep for dep, (available, _) in deps_status.items() if not available] + if missing_deps: + print() + print("缺失依赖，请安装:") + print(" pip3 install --user -r requirements-prod.txt") + + print() + print("=== 版本信息 ===") + print("Python: {}".format(version_str)) + print("Typing: {}".format(typing_status)) + print("推荐脚本: {}".format(script_name)) + +if __name__ == "__main__": + main() diff --git a/学校学生操行历史数据迁移/import_conduct_score_history.py b/学校学生操行历史数据迁移/import_conduct_score_history.py new file mode 100644 index 00000000..0421b10f --- /dev/null +++ b/学校学生操行历史数据迁移/import_conduct_score_history.py @@ -0,0 +1,284 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +学生操行分历史数据迁移 - 主控制脚本 + +功能说明： +- 协调整个迁移流程的执行 +- 按顺序执行所有迁移脚本 +- 记录整体迁移过程和结果 +- 支持断点续传（可从指定步骤开始） + +执行方式： +python import_conduct_score_history.py [--start-from STEP] [--validate-only] + +参数说明： +- --start-from: 从指定步骤开始执行 (1-5) +- --validate-only: 仅执行验证，不执行迁移 + +迁移步骤： +1. Excel导入临时表 (01_import_excel_to_temp.py) +2. 数据解析处理 (02_parse_score_data.py) +3. 数据关联处理 (03_link_student_data.py) +4. 正式导入处理 (04_import_to_production.py) +5. 验证与清理 (05_validate_and_cleanup.py) +""" + +from __future__ import annotations + +import argparse +import logging +import subprocess +import sys +import time +from datetime import datetime +from pathlib import Path +from typing import Any, Dict, List, Optional + +# 配置日志 +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s %(levelname)s %(message)s", + handlers=[ + logging.StreamHandler(sys.stdout), + logging.FileHandler("logs/migration_main.log", mode='a', encoding='utf-8') + ] +) +logger = logging.getLogger("migration_main") + +class MigrationController: + """迁移控制器""" + + def __init__(self, start_from: int = 1, validate_only: bool = False): + self.start_from = start_from + self.validate_only = validate_only + self.steps = [ + { + 'name': 'Excel导入临时表', + 'script': '01_import_excel_to_temp.py', + 'description': '读取操行.xls文件，导入到temp_conduct_score_import表' + }, + { + 'name': '数据解析处理', + 'script': '02_parse_score_data.py', + 'description': '解析学年、学期、月度分数，生成月度记录' + }, + { + 'name': '数据关联处理', + 'script': '03_link_student_data.py', + 'description': '通过学号关联学生、班级、班主任信息' + }, + { + 'name': '正式导入处理', + 'script': '04_import_to_production.py', + 'description': '将验证后的数据导入到xg_conduct_score表' + }, + { + 'name': '验证与清理', + 'script': '05_validate_and_cleanup.py', + 'description': '验证迁移结果，生成报告' + } + ] + + def check_prerequisites(self) -> bool: + """检查前置条件""" + logger.info("检查前置条件...") + + # 检查Python脚本是否存在 + for step in self.steps: + script_path = step['script'] + if not Path(script_path).exists(): + logger.error(f"脚本文件不存在: {script_path}") + return False + + # 检查Excel文件是否存在（仅在执行第一步时检查） + if self.start_from == 1 and not self.validate_only: + excel_file = "操行.xls" + if not Path(excel_file).exists(): + logger.error(f"Excel文件不存在: {excel_file}") + return False + + # 检查logs目录 + Path("logs").mkdir(exist_ok=True) + + logger.info("前置条件检查通过") + return True + + def run_step(self, step_info: Dict[str, Any]) -> tuple[bool, str]: + """执行单个步骤""" + step_name = step_info['name'] + script = step_info['script'] + description = step_info['description'] + + logger.info(f"开始执行步骤: {step_name}") + logger.info(f"脚本: {script}") + logger.info(f"说明: {description}") + + start_time = time.time() + + try: + # 构建命令 + cmd = [sys.executable, script] + + # 如果是验证步骤，添加--cleanup参数（由用户决定是否清理） + # 这里默认不清理，让用户手动决定 + + # 执行脚本 + result = subprocess.run( + cmd, + capture_output=True, + text=True, + encoding='utf-8', + timeout=3600 # 1小时超时 + ) + + elapsed_time = time.time() - start_time + + # 记录执行结果 + if result.returncode == 0: + logger.info(f"步骤耗时: {step_elapsed:.1f}秒") + return True, result.stdout + result.stderr + else: + logger.error(f"步骤耗时: {step_elapsed:.1f}秒") + logger.error("标准输出:") + logger.error(result.stdout) + logger.error("标准错误:") + logger.error(result.stderr) + return False, result.stdout + result.stderr + + except subprocess.TimeoutExpired: + elapsed_time = time.time() - start_time + logger.error(f"步骤执行超时: {elapsed_time:.1f}秒") + return False, "执行超时" + + except Exception as e: + elapsed_time = time.time() - start_time + logger.error(f"步骤执行出错: {elapsed_time:.1f}秒") + return False, str(e) + + def run_migration(self) -> bool: + """执行迁移流程""" + logger.info("="*80) + logger.info("学生操行分历史数据迁移开始") + logger.info("="*80) + logger.info(f"开始步骤: {self.start_from}") + logger.info(f"验证模式: {self.validate_only}") + logger.info(f"执行时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}") + logger.info("") + + # 显示执行计划 + logger.info("执行计划:") + for i, step in enumerate(self.steps, 1): + status = "⏭️ 跳过" if i < self.start_from else "▶️ 执行" + if self.validate_only and i < 5: + status = "⏭️ 跳过" + logger.info(f" {i}. {status} {step['name']}") + logger.info("") + + total_start_time = time.time() + results = [] + + # 执行步骤 + for i, step in enumerate(self.steps, 1): + step_start_time = time.time() + + # 检查是否需要执行此步骤 + if i < self.start_from: + logger.info(f"跳过步骤 {i}: {step['name']}") + continue + + if self.validate_only and i < 5: + logger.info(f"验证模式跳过步骤 {i}: {step['name']}") + continue + + # 执行步骤 + success, output = self.run_step(step) + + step_elapsed = time.time() - step_start_time + results.append({ + 'step': i, + 'name': step['name'], + 'success': success, + 'duration': step_elapsed, + 'output': output + }) + + # 如果步骤失败，停止执行 + if not success: + logger.error(f"步骤 {i} 执行失败，停止迁移流程") + break + + logger.info("") + + # 输出总结报告 + total_elapsed = time.time() - total_start_time + self.print_summary_report(results, total_elapsed) + + # 检查整体结果 + all_success = all(result['success'] for result in results) + return all_success + + def print_summary_report(self, results: List[Dict[str, Any]], total_time: float) -> None: + """打印总结报告""" + logger.info("="*80) + logger.info("迁移执行总结报告") + logger.info("="*80) + + logger.info("各步骤执行结果:") + for result in results: + status = "✅ 成功" if result['success'] else "❌ 失败" + duration = ".1f" + logger.info("6") + + logger.info("") + logger.info(f"迁移总耗时: {total_time:.1f}秒") + # 统计信息 + successful_steps = sum(1 for r in results if r['success']) + total_steps = len(results) + + logger.info(f"成功步骤: {successful_steps}/{total_steps}") + + if successful_steps == total_steps: + logger.info("🎉 迁移流程完全成功！") + else: + logger.info("⚠️ 迁移流程部分失败，请检查上述错误信息") + + logger.info("="*80) + +def main(): + """主函数""" + parser = argparse.ArgumentParser(description='学生操行分历史数据迁移 - 主控制脚本') + parser.add_argument('--start-from', type=int, choices=range(1, 6), default=1, + help='从指定步骤开始执行 (1-5)') + parser.add_argument('--validate-only', action='store_true', + help='仅执行验证步骤（步骤5），跳过前面的迁移步骤') + + args = parser.parse_args() + + # 如果是验证模式，从步骤5开始 + if args.validate_only: + args.start_from = 5 + + # 创建控制器并执行 + controller = MigrationController( + start_from=args.start_from, + validate_only=args.validate_only + ) + + # 检查前置条件 + if not controller.check_prerequisites(): + logger.error("前置条件检查失败，请解决上述问题后重试") + sys.exit(1) + + # 执行迁移 + success = controller.run_migration() + + if success: + logger.info("✅ 学生操行分历史数据迁移完成") + sys.exit(0) + else: + logger.error("❌ 学生操行分历史数据迁移失败") + sys.exit(1) + +if __name__ == "__main__": + main() diff --git a/学校学生操行历史数据迁移/import_pid.txt b/学校学生操行历史数据迁移/import_pid.txt new file mode 100644 index 00000000..4e8e2aed --- /dev/null +++ b/学校学生操行历史数据迁移/import_pid.txt @@ -0,0 +1 @@ +55881 diff --git a/学校学生操行历史数据迁移/import_pid_new.txt b/学校学生操行历史数据迁移/import_pid_new.txt new file mode 100644 index 00000000..c8ed9de2 --- /dev/null +++ b/学校学生操行历史数据迁移/import_pid_new.txt @@ -0,0 +1 @@ +62198 diff --git a/学校学生操行历史数据迁移/install_deps.sh b/学校学生操行历史数据迁移/install_deps.sh new file mode 100755 index 00000000..a96ed681 --- /dev/null +++ b/学校学生操行历史数据迁移/install_deps.sh @@ -0,0 +1,56 @@ +#!/bin/bash +# 生产环境依赖安装脚本 + +echo "=== 生产环境依赖安装脚本 ===" +echo "当前Python版本: $(python3 --version)" +echo "" + +# 方案1：安装编译工具（推荐） +echo "方案1：安装编译工具后使用标准requirements.txt" +echo "执行命令：" +echo "yum install -y gcc gcc-c++ python3-devel # CentOS/RHEL" +echo "# 或" +echo "apt-get update && apt-get install -y build-essential python3-dev # Ubuntu/Debian" +echo "" +echo "然后执行：" +echo "pip3 install --user -r requirements.txt" +echo "" + +# 方案2：使用预编译版本 +echo "方案2：使用预编译版本（如果方案1失败）" +echo "执行命令：" +echo "pip3 install --user -r requirements-prod.txt" +echo "" + +# 方案3：手动安装编译工具并重试 +echo "方案3：一键安装编译工具并安装依赖" +echo "如果您同意，请输入 'yes' 继续：" +read -r answer + +if [ "$answer" = "yes" ] || [ "$answer" = "y" ]; then + echo "检测操作系统类型..." + + if command -v yum &> /dev/null; then + echo "检测到CentOS/RHEL系统，安装编译工具..." + yum install -y gcc gcc-c++ python3-devel + elif command -v apt-get &> /dev/null; then + echo "检测到Ubuntu/Debian系统，安装编译工具..." + apt-get update && apt-get install -y build-essential python3-dev + else + echo "无法自动检测操作系统类型，请手动安装编译工具" + exit 1 + fi + + echo "安装Python依赖..." + pip3 install --user -r requirements.txt + + if [ $? -eq 0 ]; then + echo "依赖安装成功！" + python3 test_dependencies.py + else + echo "标准版本安装失败，尝试预编译版本..." + pip3 install --user -r requirements-prod.txt + fi +else + echo "请手动选择安装方案" +fi diff --git a/学校学生操行历史数据迁移/requirements-prod.txt b/学校学生操行历史数据迁移/requirements-prod.txt new file mode 100644 index 00000000..cd012029 --- /dev/null +++ b/学校学生操行历史数据迁移/requirements-prod.txt @@ -0,0 +1,5 @@ +pandas==1.1.5 +sqlalchemy==1.2.19 +pymysql==0.9.3 +xlrd==1.2.0 +openpyxl==2.6.4 diff --git a/学校学生操行历史数据迁移/requirements.txt b/学校学生操行历史数据迁移/requirements.txt new file mode 100644 index 00000000..6812d0f8 --- /dev/null +++ b/学校学生操行历史数据迁移/requirements.txt @@ -0,0 +1,5 @@ +pandas>=1.3.0,<2.0.0 +sqlalchemy>=1.4.0,<2.0.0 +pymysql>=1.0.3 +xlrd>=2.0.1 +openpyxl>=3.0.0 diff --git a/学校学生操行历史数据迁移/run_parser.sh b/学校学生操行历史数据迁移/run_parser.sh new file mode 100755 index 00000000..027b6fa7 --- /dev/null +++ b/学校学生操行历史数据迁移/run_parser.sh @@ -0,0 +1,66 @@ +#!/bin/bash +# 生产环境数据解析脚本启动器 + +echo "=== 学生操行分数据解析器（智能版本选择） ===" +echo "当前时间: $(date)" +echo "Python版本: $(python3 --version)" +echo "" + +# 检查Python版本并选择合适的脚本 +python_version=$(python3 -c "import sys; print(sys.version_info.major * 10 + sys.version_info.minor)") +echo "检测到Python版本: 3.$(($python_version % 10))" + +# 检查是否有typing模块 +has_typing=$(python3 -c "import typing" 2>/dev/null && echo "yes" || echo "no") + +if [ $python_version -ge 37 ] && [ "$has_typing" = "yes" ]; then + SCRIPT_NAME="02_parse_score_data_fixed.py" + echo "使用完整功能版本 (Python 3.7+)" +elif [ $python_version -ge 36 ] && [ "$has_typing" = "yes" ]; then + SCRIPT_NAME="02_parse_score_data_py36_compatible.py" + echo "使用Python 3.6兼容版本" +else + SCRIPT_NAME="02_parse_score_data_py34_compatible.py" + echo "使用Python 3.4+超兼容版本 (无typing模块)" +fi + +# 检查依赖是否安装 +echo "检查依赖安装..." +python3 -c " +try: + import pymysql + import pandas + import sqlalchemy + print('✓ 所有依赖已安装') +except ImportError as e: + print('✗ 缺少依赖:', e) + print('请运行: pip3 install --user -r requirements-prod.txt') + exit(1) +" + +if [ $? -ne 0 ]; then + exit 1 +fi + +echo "" +echo "启动数据解析进程..." +echo "日志文件: 2.log" +echo "进程ID将保存在: parser.pid" +echo "" + +# 启动进程 +echo "启动脚本: $SCRIPT_NAME" +nohup python3 "$SCRIPT_NAME" > 2.log 2>&1 & +echo $! > parser.pid + +echo "进程已启动 (PID: $(cat parser.pid))" +echo "" +echo "查看运行状态:" +echo " tail -f 2.log # 查看实时日志" +echo " ps aux | grep python # 查看进程" +echo " kill \$(cat parser.pid) # 停止进程" +echo "" +echo "日志分析:" +echo " grep '成功' 2.log | wc -l # 成功记录数" +echo " grep '失败' 2.log | wc -l # 失败记录数" +echo " grep '解析完成' 2.log # 完成状态" diff --git a/学校学生操行历史数据迁移/test_dependencies.py b/学校学生操行历史数据迁移/test_dependencies.py new file mode 100644 index 00000000..dc2e6f88 --- /dev/null +++ b/学校学生操行历史数据迁移/test_dependencies.py @@ -0,0 +1,37 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +测试依赖包是否正常工作 +""" + +try: + import pandas as pd + print(f"✓ pandas {pd.__version__} 导入成功") +except ImportError as e: + print(f"✗ pandas 导入失败: {e}") + +try: + import sqlalchemy + print(f"✓ sqlalchemy {sqlalchemy.__version__} 导入成功") +except ImportError as e: + print(f"✗ sqlalchemy 导入失败: {e}") + +try: + import pymysql + print(f"✓ pymysql {pymysql.__version__} 导入成功") +except ImportError as e: + print(f"✗ pymysql 导入失败: {e}") + +try: + import xlrd + print(f"✓ xlrd {xlrd.__version__} 导入成功") +except ImportError as e: + print(f"✗ xlrd 导入失败: {e}") + +try: + import openpyxl + print(f"✓ openpyxl {openpyxl.__version__} 导入成功") +except ImportError as e: + print(f"✗ openpyxl 导入失败: {e}") + +print("\n依赖检查完成！") diff --git a/学校学生操行历史数据迁移/操行.xls b/学校学生操行历史数据迁移/操行.xls new file mode 100644 index 0000000000000000000000000000000000000000..48a79bcf6d2518b31106d78bd10dc02504eecd42 GIT binary patch literal 13276672 zcmdqKd7Ko*`9D4j$SH^lh@i3@Dj+C(aCza87>s6yJpk7Q7QxwBU{}!P5L7Nfz-498 zbwMCtyrc0!asZ>vai`mO)}qWb^k7X}yFM^S|MtA5W@$9#1xP{%@bT&a#l>R7CftJJYX9ZS`*OdVINqedOe)lsXCYt*qq z9d+thsg7&aah*Eq)p5N#8q~2$9jn!GgF4ozW34*YspHq`Sg(!^>bOxIzfs3c>bO}Q zx2WS*b=;kggTy7$5ZNfS{=`*W0N|bRmY#z@tiuISH}zL*sP8h z)$x)#URK9n)bWZsURB2yb-bpI*VXZcI^I;rU)AxJI<~6gZFRh(j&16AR~>&-$98r6 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filtered_records - filtered_records=$(echo "$records" | grep -v "^mysql:" | grep -v "^$" | sed '1d') - clean_records=$(echo "$filtered_records" | wc -l) + clean_records=$(echo "$records" | grep -v "^mysql:" | grep -v "^$" | wc -l) # 去除可能的空白字符 clean_records=$(echo "$clean_records" | tr -d ' ') - if [[ $clean_records -eq 0 ]]; then + if [[ $clean_records -le 1 ]]; then log "INFO" "未找到未处理的记录，正在等待..." else - log "INFO" "找到 $clean_records 条待处理记录" + # 排除标题行后的实际记录数 + local actual_records=$((clean_records - 1)) + log "INFO" "找到 $actual_records 条待处理记录" + # 调试：显示前几条记录的信息 - if [[ $clean_records -gt 0 ]]; then - log "DEBUG" "待处理记录预览:" - echo "$filtered_records" | head -3 | while read -r line; do - log "DEBUG" " $line" - done + if [[ $actual_records -gt 0 ]]; then + log "DEBUG" "将处理 $actual_records 条记录" fi local processed_count=0 local failed_count=0 - # Create a temporary file to store records for processing - local temp_records_file="${SCRIPT_DIR}/temp_class_change_records_fixed_$$.txt" - echo "$filtered_records" > "$temp_records_file" + # Process records line by line using a simple loop + local filtered_data + filtered_data=$(echo "$records" | grep -v "^mysql:" | grep -v "^$") - # Process each record from the temporary file - while IFS=$'\t' read -r record_id student_id student_no new_class_id operator_id; do - # Skip empty lines or invalid records - [[ -z "$record_id" || -z "$student_id" || -z "$student_no" || -z "$new_class_id" ]] && continue + log "DEBUG" "过滤后数据行数: $(echo "$filtered_data" | wc -l)" + log "DEBUG" "过滤后数据内容预览:" + echo "$filtered_data" | head -3 | while read -r preview_line; do + log "DEBUG" " DATA: $preview_line" + done + # Create temporary file for processing to avoid subshell variable scope issues + local temp_file="/tmp/student_class_change_process_$$.txt" + echo "$filtered_data" > "$temp_file" - # Log the record being processed for debugging - log "INFO" "读取到记录 - ID: $record_id, 学生ID: $student_id, 学号: $student_no, 新班级ID: $new_class_id, 操作员: ${operator_id:-1}" + # Process records from temporary file (variables will be in same shell) + local is_first_line=true + while IFS= read -r line; do + # Parse the tab-separated values for processing + IFS=$'\t' read -r record_id student_id student_no new_class_id operator_id <<< "$line" + + # Skip completely empty lines + if [[ -z "$record_id$student_id$student_no$new_class_id$operator_id" ]]; then + continue + fi + + # Skip header line (first non-empty line that looks like column names) + if [[ $is_first_line == true ]]; then + is_first_line=false + # Check if this looks like a header line + if [[ "$record_id" == "id" || "$record_id" =~ ^[[:space:]]*id[[:space:]]*$ ]]; then + log "INFO" "跳过标题行" + continue + fi + fi + + # Validate required fields + if [[ -z "$record_id" || -z "$student_id" || -z "$student_no" || -z "$new_class_id" ]]; then + log "WARN" "跳过无效记录 - ID: '$record_id'" + continue + fi + + # Log the record being processed + log "INFO" "处理记录 - ID: $record_id, 学号: $student_no" local retry_count=0 local success=false while [[ $retry_count -lt $MAX_RETRY && $success == false ]]; do + log "DEBUG" "开始调用process_student_class_change函数，参数: $record_id, $student_id, $student_no, $new_class_id, $operator_id" if process_student_class_change "$record_id" "$student_id" "$student_no" "$new_class_id" "$operator_id"; then success=true ((processed_count++)) + log "INFO" "成功处理记录 $record_id (总计: $processed_count)" + log "DEBUG" "函数调用成功，success=$success, processed_count=$processed_count" else ((retry_count++)) + log "DEBUG" "函数调用失败，retry_count=$retry_count, MAX_RETRY=$MAX_RETRY" if [[ $retry_count -lt $MAX_RETRY ]]; then - log "WARN" "处理失败，$RETRY_DELAY 秒后重试... (尝试 $retry_count/$MAX_RETRY)" + log "WARN" "处理失败，重试中..." sleep $RETRY_DELAY fi fi @@ -316,13 +348,70 @@ main() { if [[ $success == false ]]; then ((failed_count++)) - log "ERROR" "$MAX_RETRY 次尝试后仍处理失败 - ID: $record_id" + log "ERROR" "记录 $record_id 处理失败" + fi + ((line_count++)) + echo "DEBUG: 处理第 $line_count 行: $line" >&2 + log "DEBUG" "处理第 $line_count 行: $line" + # Parse the tab-separated values for processing + IFS=$'\t' read -r record_id student_id student_no new_class_id operator_id <<< "$line" + + # Skip completely empty lines + if [[ -z "$record_id$student_id$student_no$new_class_id$operator_id" ]]; then + continue fi - done < "$temp_records_file" + # Skip header line (first non-empty line that looks like column names) + if [[ $is_first_line == true ]]; then + is_first_line=false + if [[ "$record_id" == "id" || "$record_id" =~ ^[[:space:]]*id[[:space:]]*$ ]]; then + continue + fi + fi + + # Validate required fields + if [[ -z "$record_id" || -z "$student_id" || -z "$student_no" || -z "$new_class_id" ]]; then + continue + fi + + # Log the record being processed + log "INFO" "处理记录 - ID: $record_id, 学号: $student_no" + + local retry_count=0 + local success=false + + while [[ $retry_count -lt $MAX_RETRY && $success == false ]]; do + log "DEBUG" "开始调用process_student_class_change函数，参数: $record_id, $student_id, $student_no, $new_class_id, $operator_id" + if process_student_class_change "$record_id" "$student_id" "$student_no" "$new_class_id" "$operator_id"; then + success=true + ((processed_count++)) + log "INFO" "成功处理记录 $record_id (总计: $processed_count)" + log "DEBUG" "函数调用成功，success=$success, processed_count=$processed_count" + else + ((retry_count++)) + log "DEBUG" "函数调用失败，retry_count=$retry_count, MAX_RETRY=$MAX_RETRY" + if [[ $retry_count -lt $MAX_RETRY ]]; then + log "WARN" "处理失败，重试中..." + sleep $RETRY_DELAY + fi + fi + done + + if [[ $success == false ]]; then + ((failed_count++)) + log "ERROR" "记录 $record_id 处理失败" + fi + + log "DEBUG" "完成处理记录 $record_id，继续下一条" + + done < "$temp_file" + + log "DEBUG" "所有记录处理完成，processed_count=$processed_count, failed_count=$failed_count" # Clean up temporary file - rm -f "$temp_records_file" + rm -f "$temp_file" + + log "INFO" "处理周期完成 - 已处理: $processed_count, 失败: $failed_count" log "INFO" "处理周期完成 - 已处理: $processed_count, 失败: $failed_count" fi diff --git a/学生换班级/test_herestring.sh b/学生换班级/test_herestring.sh new file mode 100755 index 00000000..5d90f4a6 --- /dev/null +++ b/学生换班级/test_herestring.sh @@ -0,0 +1,20 @@ +#!/bin/bash + +echo "测试here string..." + +data="line1 +line2 +line3" + +echo "数据内容:" +echo "$data" +echo "---" + +echo "使用here string:" +count=0 +while IFS= read -r line; do + ((count++)) + echo "处理第 $count 行: $line" +done <<< "$data" + +echo "测试完成" diff --git a/学生换班级/test_loop.sh b/学生换班级/test_loop.sh new file mode 100755 index 00000000..6e7a27ac --- /dev/null +++ b/学生换班级/test_loop.sh @@ -0,0 +1,24 @@ +#!/bin/bash + +set -euo pipefail + +echo "开始测试循环..." + +data="line1 +line2 +line3" + +echo "数据行数: $(echo "$data" | wc -l)" + +echo "进入循环..." +count=0 +while IFS= read -r line; do + ((count++)) + echo "处理第 $count 行: $line" + if [[ $count -eq 1 ]]; then + echo "只处理第一行，退出测试" + break + fi +done <<< "$data" + +echo "循环结束" diff --git a/学生换班级/test_pipe.sh b/学生换班级/test_pipe.sh new file mode 100755 index 00000000..8ec9afe0 --- /dev/null +++ b/学生换班级/test_pipe.sh @@ -0,0 +1,20 @@ +#!/bin/bash + +echo "测试管道方式..." + +data="line1 +line2 +line3" + +echo "数据内容:" +echo "$data" +echo "---" + +echo "使用管道:" +count=0 +echo "$data" | while IFS= read -r line; do + ((count++)) + echo "处理第 $count 行: $line" +done + +echo "管道测试完成, count=$count"

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