refactor: 下沉资料包列表上下文到 documents 服务层

apps/documents/services.py

@@ -247,6 +247,50 @@ def build_batch_rows(batches) -> list[dict]:
     return rows
 
 
+def build_document_list_context(*, keyword: str = "") -> dict:
+    """
+    组装资料包列表页所需的筛选结果与展示上下文。
+
+    View 只负责读取 query params，批次搜索、统计和异常聚合统一放到服务层。
+    """
+    batches = SubmissionBatch.objects.all()
+    if keyword:
+        batches = batches.filter(product_name__icontains=keyword) | batches.filter(
+            batch_id__icontains=keyword
+        )
+    batches = list(batches)
+    documents = list(UploadedDocument.objects.all())
+    status_counts = {
+        "pending": sum(
+            1 for batch in batches if batch.import_status == SubmissionBatch.STATUS_PENDING
+        ),
+        "completed": sum(
+            1 for batch in batches if batch.import_status == SubmissionBatch.STATUS_COMPLETED
+        ),
+        "review_required": sum(
+            1
+            for batch in batches
+            if batch.import_status == SubmissionBatch.STATUS_REVIEW_REQUIRED
+        ),
+        "total": len(batches),
+    }
+    return {
+        "documents": documents,
+        "batches": batches,
+        "batch_rows": build_batch_rows(batches),
+        "keyword": keyword,
+        "status_counts": status_counts,
+        "processing_pipeline": [
+            {"title": "原始文件接收", "detail": "校验格式、大小和场景归属后保存原件。"},
+            {"title": "文本与表格抽取", "detail": "按 PDF / DOCX / MD / TXT 使用不同解析策略。"},
+            {"title": "页数统计与可信度评估", "detail": "对 Word 页数采用估算与可信度标记。"},
+            {"title": "章节点归类", "detail": "基于文件名、标题和正文线索识别 CH 节点。"},
+            {"title": "切片与索引入库", "detail": "生成知识切片，供 RAG、规则定位和审计引用使用。"},
+        ],
+        "exception_items": build_exception_items(batches, documents),
+    }
+
+
 def build_exception_items(batches, documents) -> list[dict]:
     """
     聚合资料包页需要关注的异常提示。

apps/documents/views.py

@@ -1,15 +1,13 @@
 from django.contrib import messages
-from django.db.models import Q
 from django.shortcuts import get_object_or_404, redirect, render
 from django.views.decorators.http import require_POST
 
 from apps.scenarios.services import list_scenarios
 
 from .forms import DocumentUploadForm
-from .models import SubmissionBatch, UploadedDocument
+from .models import UploadedDocument
 from .services import (
-    build_batch_rows,
-    build_exception_items,
+    build_document_list_context,
     import_submission_batch,
     index_document,
 )
@@ -17,48 +15,8 @@ from .services import (
 
 def document_list(request):
     # 资料包页展示批次、会话绑定和关键异常，同时保留文档级明细便于演示。
-    keyword = (request.GET.get("keyword") or "").strip()
-    batches = SubmissionBatch.objects.all()
-    if keyword:
-        batches = batches.filter(
-            Q(product_name__icontains=keyword) | Q(batch_id__icontains=keyword)
-        )
-    batches = list(batches)
-    documents = list(UploadedDocument.objects.all())
-    status_counts = {
-        "pending": sum(
-            1 for batch in batches if batch.import_status == SubmissionBatch.STATUS_PENDING
-        ),
-        "completed": sum(
-            1 for batch in batches if batch.import_status == SubmissionBatch.STATUS_COMPLETED
-        ),
-        "review_required": sum(
-            1
-            for batch in batches
-            if batch.import_status == SubmissionBatch.STATUS_REVIEW_REQUIRED
-        ),
-        "total": len(batches),
-    }
-    processing_pipeline = [
-        {"title": "原始文件接收", "detail": "校验格式、大小和场景归属后保存原件。"},
-        {"title": "文本与表格抽取", "detail": "按 PDF / DOCX / MD / TXT 使用不同解析策略。"},
-        {"title": "页数统计与可信度评估", "detail": "对 Word 页数采用估算与可信度标记。"},
-        {"title": "章节点归类", "detail": "基于文件名、标题和正文线索识别 CH 节点。"},
-        {"title": "切片与索引入库", "detail": "生成知识切片，供 RAG、规则定位和审计引用使用。"},
-    ]
-    return render(
-        request,
-        "documents/document_list.html",
-        {
-            "documents": documents,
-            "batches": batches,
-            "batch_rows": build_batch_rows(batches),
-            "keyword": keyword,
-            "status_counts": status_counts,
-            "processing_pipeline": processing_pipeline,
-            "exception_items": build_exception_items(batches, documents),
-        },
-    )
+    context = build_document_list_context(keyword=(request.GET.get("keyword") or "").strip())
+    return render(request, "documents/document_list.html", context)
 
 
 def upload(request):