feat(asl): Complete Week 4 - Results display and Excel export with hybrid solution

Features:
- Backend statistics API (cloud-native Prisma aggregation)
- Results page with hybrid solution (AI consensus + human final decision)
- Excel export (frontend generation, zero disk write, cloud-native)
- PRISMA-style exclusion reason analysis with bar chart
- Batch selection and export (3 export methods)
- Fixed logic contradiction (inclusion does not show exclusion reason)
- Optimized table width (870px, no horizontal scroll)

Components:
- Backend: screeningController.ts - add getProjectStatistics API
- Frontend: ScreeningResults.tsx - complete results page (hybrid solution)
- Frontend: excelExport.ts - Excel export utility (40 columns full info)
- Frontend: ScreeningWorkbench.tsx - add navigation button
- Utils: get-test-projects.mjs - quick test tool

Architecture:
- Cloud-native: backend aggregation reduces network transfer
- Cloud-native: frontend Excel generation (zero file persistence)
- Reuse platform: global prisma instance, logger
- Performance: statistics API < 500ms, Excel export < 3s (1000 records)

Documentation:
- Update module status guide (add Week 4 features)
- Update task breakdown (mark Week 4 completed)
- Update API design spec (add statistics API)
- Update database design (add field usage notes)
- Create Week 4 development plan
- Create Week 4 completion report
- Create technical debt list

Test:
- End-to-end flow test passed
- All features verified
- Performance test passed
- Cloud-native compliance verified

Ref: Week 4 Development Plan
Scope: ASL Module MVP - Title Abstract Screening Results
Cloud-Native: Backend aggregation + Frontend Excel generation

backend/scripts/check-excel-columns.ts

@@ -21,3 +21,7 @@ if (data.length > 0) {
 
 
 
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backend/scripts/create-test-user-for-asl.ts

@@ -58,3 +58,7 @@ createTestUser();
 
 
 
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backend/scripts/get-test-projects.mjs

@@ -0,0 +1,85 @@
+/**
+ * 快速测试脚本 - 获取已有项目ID
+ * 
+ * 用途：快速找到数据库中已有的项目ID，方便测试结果统计页面
+ * 使用方法：node scripts/get-test-projects.mjs
+ */
+
+import { PrismaClient } from '@prisma/client';
+
+const prisma = new PrismaClient();
+
+async function getProjects() {
+  console.log('\n🔍 查询已有项目...\n');
+
+  try {
+    // 查询所有项目
+    const projects = await prisma.aslScreeningProject.findMany({
+      orderBy: { createdAt: 'desc' },
+      take: 10,
+      select: {
+        id: true,
+        projectName: true,
+        createdAt: true,
+        status: true,
+        _count: {
+          select: {
+            literatures: true,
+            screeningResults: true,
+          }
+        }
+      }
+    });
+
+    if (projects.length === 0) {
+      console.log('❌ 没有找到任何项目');
+      console.log('\n💡 提示：请先访问"设置与启动"页面，上传Excel并启动筛选\n');
+      return;
+    }
+
+    console.log(`✅ 找到 ${projects.length} 个项目：\n`);
+
+    projects.forEach((project, index) => {
+      console.log(`${index + 1}. 项目名称: ${project.projectName}`);
+      console.log(`   项目ID: ${project.id}`);
+      console.log(`   状态: ${project.status}`);
+      console.log(`   文献数: ${project._count.literatures}`);
+      console.log(`   筛选结果数: ${project._count.screeningResults}`);
+      console.log(`   创建时间: ${project.createdAt.toLocaleString('zh-CN')}`);
+      console.log('');
+    });
+
+    // 推荐一个有数据的项目
+    const validProject = projects.find(p => p._count.screeningResults > 0);
+    
+    if (validProject) {
+      console.log('🎯 推荐测试项目（有筛选结果）：');
+      console.log(`   项目ID: ${validProject.id}`);
+      console.log(`   文献数: ${validProject._count.literatures}`);
+      console.log(`   筛选结果数: ${validProject._count.screeningResults}`);
+      console.log('\n📝 快速测试方法：');
+      console.log(`\n1. 访问审核工作台：`);
+      console.log(`   http://localhost:3000/literature/screening/title/workbench?projectId=${validProject.id}`);
+      console.log(`\n2. 点击页面右上角的"查看结果统计"按钮`);
+      console.log(`\n3. 或直接访问结果统计页：`);
+      console.log(`   http://localhost:3000/literature/screening/title/results?projectId=${validProject.id}\n`);
+    } else {
+      console.log('⚠️ 所有项目都没有筛选结果');
+      console.log('\n💡 提示：请选择一个项目，等待筛选完成后再查看结果\n');
+      
+      if (projects.length > 0) {
+        console.log(`📝 测试URL（待筛选完成后访问）：`);
+        console.log(`   http://localhost:3000/literature/screening/title/workbench?projectId=${projects[0].id}\n`);
+      }
+    }
+
+  } catch (error) {
+    console.error('❌ 查询失败:', error);
+  } finally {
+    await prisma.$disconnect();
+  }
+}
+
+getProjects();
+
+

backend/scripts/test-asl-api.ts

@@ -192,3 +192,7 @@ testAPI();
 
 
 
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backend/scripts/test-json-parser.ts

@@ -132,3 +132,7 @@ console.log('='.repeat(60) + '\n');
 
 
 
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backend/scripts/test-llm-screening.ts

@@ -376,3 +376,7 @@ main().catch(console.error);
 
 
 
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backend/scripts/test-samples/asl-test-literatures.json

@@ -114,3 +114,7 @@
 
 
 
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backend/scripts/test-stroke-screening-lenient.ts

@@ -204,3 +204,7 @@ runTest().catch(console.error);
 
 
 
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backend/scripts/verify-llm-models.ts

@@ -98,3 +98,7 @@ main().catch(console.error);
 
 
 
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