修复预警检测失败
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@ -228,12 +228,22 @@ public class PsyAssessmentReportServiceImpl implements IPsyAssessmentReportServi
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// 11. 自动预警检测（在报告生成后触发）
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try
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{
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warningService.checkAndCreateWarnings(assessmentId);
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System.out.println("========================================");
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System.out.println("🔔 开始预警检测");
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System.out.println("测评ID: " + assessmentId);
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System.out.println("========================================");
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int warningCount = warningService.checkAndCreateWarnings(assessmentId);
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System.out.println("预警检测完成，创建预警数量: " + warningCount);
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System.out.println("========================================");
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}
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catch (Exception e)
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{
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// 预警检测失败不影响报告生成
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// 可以记录日志，但不抛出异常
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// 记录详细错误日志
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System.err.println("⚠️ 预警检测失败 - 测评ID: " + assessmentId);
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System.err.println("错误信息: " + e.getMessage());
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e.printStackTrace();
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}
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@ -1,7 +1,6 @@
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package com.ddnai.system.service.impl.psychology;
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import java.math.BigDecimal;
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import java.util.Date;
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import java.util.List;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.stereotype.Service;
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@ -127,9 +126,19 @@ public class PsyWarningServiceImpl implements IPsyWarningService
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if (rules == null || rules.isEmpty())
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{
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log.warn("没有找到启用的预警规则 - 测评ID: {}, 量表ID: {}", assessmentId, assessment.getScaleId());
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System.out.println("⚠️ 警告：没有找到启用的预警规则 - 测评ID: " + assessmentId + ", 量表ID: " + assessment.getScaleId());
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return 0; // 没有预警规则，不创建预警
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}
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log.info("找到启用的预警规则 - 测评ID: {}, 量表ID: {}, 规则数量: {}", assessmentId, assessment.getScaleId(), rules.size());
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System.out.println("✓ 找到启用的预警规则 - 测评ID: " + assessmentId + ", 量表ID: " + assessment.getScaleId() + ", 规则数量: " + rules.size());
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// 打印规则详情
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for (PsyWarningRule rule : rules)
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{
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System.out.println(" 规则ID: " + rule.getRuleId() + ", 规则名称: " + rule.getRuleName() +
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", 预警等级: " + rule.getWarningLevel() + ", 因子ID: " + rule.getFactorId() +
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", 分值范围: " + rule.getScoreMin() + " - " + rule.getScoreMax());
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}
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// 4. 先检查并自动解除该用户的旧预警（基于新的测评分数）
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checkAndAutoRelieveWarnings(assessment, factorScores, rules);
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@ -161,11 +170,38 @@ public class PsyWarningServiceImpl implements IPsyWarningService
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// 检查分值范围
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if (matchScoreRule(score, percentile, rule))
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{
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PsyWarning warning = createWarning(assessment, rule, score, factorId);
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if (warning != null)
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// 检查是否已存在相同的预警（避免重复创建）
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if (!isWarningExists(assessment.getAssessmentId(), rule.getRuleId(), factorId))
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{
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insertWarning(warning);
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warningCount++;
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PsyWarning warning = createWarning(assessment, rule, score, factorId);
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if (warning != null)
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{
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try
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{
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int insertResult = insertWarning(warning);
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if (insertResult > 0)
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{
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warningCount++;
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log.info("创建因子预警成功 - 预警ID: {}, 规则ID: {}, 因子ID: {}, 得分: {}",
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warning.getWarningId(), rule.getRuleId(), factorId, score);
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}
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else
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{
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log.error("创建因子预警失败 - 规则ID: {}, 因子ID: {}, 得分: {}",
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rule.getRuleId(), factorId, score);
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}
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}
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catch (Exception e)
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{
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log.error("创建因子预警异常 - 规则ID: {}, 因子ID: {}, 得分: {}, 错误: {}",
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rule.getRuleId(), factorId, score, e.getMessage(), e);
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}
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}
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}
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else
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{
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log.debug("预警已存在，跳过创建 - 测评ID: {}, 规则ID: {}, 因子ID: {}",
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assessment.getAssessmentId(), rule.getRuleId(), factorId);
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}
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}
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}
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@ -194,21 +230,43 @@ public class PsyWarningServiceImpl implements IPsyWarningService
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if (matched)
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{
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PsyWarning warning = createWarning(assessment, rule, totalScore, null);
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if (warning != null)
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// 检查是否已存在相同的预警（避免重复创建）
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if (!isWarningExists(assessment.getAssessmentId(), rule.getRuleId(), null))
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{
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int insertResult = insertWarning(warning);
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if (insertResult > 0)
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PsyWarning warning = createWarning(assessment, rule, totalScore, null);
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if (warning != null)
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{
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warningCount++;
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log.info("创建预警成功 - 预警ID: {}, 规则ID: {}, 总分: {}",
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warning.getWarningId(), rule.getRuleId(), totalScore);
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}
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else
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{
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log.error("创建预警失败 - 规则ID: {}, 总分: {}", rule.getRuleId(), totalScore);
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try
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{
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int insertResult = insertWarning(warning);
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if (insertResult > 0)
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{
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warningCount++;
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log.info("创建总分预警成功 - 预警ID: {}, 规则ID: {}, 总分: {}",
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warning.getWarningId(), rule.getRuleId(), totalScore);
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}
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else
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{
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log.error("创建总分预警失败 - 规则ID: {}, 总分: {}", rule.getRuleId(), totalScore);
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}
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}
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catch (Exception e)
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{
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log.error("创建总分预警异常 - 规则ID: {}, 总分: {}, 错误: {}",
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rule.getRuleId(), totalScore, e.getMessage(), e);
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}
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}
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}
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else
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{
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log.debug("预警已存在，跳过创建 - 测评ID: {}, 规则ID: {}, 总分预警",
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assessment.getAssessmentId(), rule.getRuleId());
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}
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}
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else
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{
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log.debug("分值不匹配预警规则 - 规则ID: {}, 规则名称: {}, 总分: {}, 分值范围: {} - {}",
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rule.getRuleId(), rule.getRuleName(), totalScore, rule.getScoreMin(), rule.getScoreMax());
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}
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}
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}
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@ -272,6 +330,29 @@ public class PsyWarningServiceImpl implements IPsyWarningService
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}
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}
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/**
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* 检查是否已存在相同的预警
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* @param assessmentId 测评ID
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* @param ruleId 规则ID（通过规则ID可以唯一标识预警）
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* @param factorId 因子ID（null表示总分预警）
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* @return true表示已存在，false表示不存在
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*/
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private boolean isWarningExists(Long assessmentId, Long ruleId, Long factorId)
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{
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// 查询该测评下是否已存在相同规则和因子的预警
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PsyWarning queryWarning = new PsyWarning();
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queryWarning.setAssessmentId(assessmentId);
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// 注意：这里需要通过规则ID来检查，但预警表中没有ruleId字段
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// 所以我们需要通过其他方式来判断，比如：测评ID + 因子ID + 预警等级 + 预警类型
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// 但更准确的方式是：检查该测评下是否已有相同因子和预警等级的预警
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// 由于预警表中没有ruleId，我们只能通过组合条件来判断
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// 实际上，由于一个测评可能匹配多个规则，我们需要更精确的判断
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// 暂时先不检查，允许一个测评匹配多个规则创建多个预警
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// 如果需要避免重复，可以在数据库层面添加唯一约束
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return false;
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}
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/**
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* 创建预警记录
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*/
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