94 lines
4.0 KiB
Python
94 lines
4.0 KiB
Python
from django.contrib import messages
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from django.shortcuts import get_object_or_404, redirect, render
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from django.views.decorators.http import require_POST
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from apps.scenarios.services import list_scenarios
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from .forms import DocumentUploadForm
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from .models import SubmissionBatch, UploadedDocument
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from .services import import_submission_batch, index_document
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def document_list(request):
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# 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。
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keyword = (request.GET.get("keyword") or "").strip()
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batches = SubmissionBatch.objects.all()
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if keyword:
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batches = batches.filter(product_name__icontains=keyword)
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documents = UploadedDocument.objects.all()
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status_counts = {
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"pending": batches.filter(import_status=SubmissionBatch.STATUS_PENDING).count(),
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"completed": batches.filter(import_status=SubmissionBatch.STATUS_COMPLETED).count(),
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"review_required": batches.filter(
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import_status=SubmissionBatch.STATUS_REVIEW_REQUIRED
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).count(),
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"total": batches.count(),
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}
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processing_pipeline = [
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{"title": "原始文件接收", "detail": "校验格式、大小和场景归属后保存原件。"},
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{"title": "文本与表格抽取", "detail": "按 PDF / DOCX / MD / TXT 使用不同解析策略。"},
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{"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。"},
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{"title": "章节点归类", "detail": "基于文件名、标题和正文线索识别 CH 节点。"},
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{"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。"},
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]
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exception_items = [
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{"level": "待确认", "title": "CH1.2 监管信息目录.docx", "detail": "目录页码与正文页数存在偏差，建议人工复核。"},
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{"level": "低可信度", "title": "目标产品说明书.docx", "detail": "Word 页数为估算值，表格抽取质量良好。"},
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{"level": "失败", "title": "沟通记录扫描件.pdf", "detail": "疑似扫描件，需补做 OCR 或重新上传清晰版。"},
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]
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return render(
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request,
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"documents/document_list.html",
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{
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"documents": documents,
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"batches": batches,
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"keyword": keyword,
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"status_counts": status_counts,
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"processing_pipeline": processing_pipeline,
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"exception_items": exception_items,
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},
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)
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def upload(request):
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# 上传成功后直接创建资料包并绑定主会话。
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if request.method == "POST":
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form = DocumentUploadForm(request.POST, request.FILES)
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if form.is_valid():
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result = import_submission_batch(
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form.cleaned_data["scenario_id"],
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[form.cleaned_data["file"]],
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)
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messages.success(
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request,
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f"资料包已导入，已绑定会话 {result['conversation_id']}。",
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)
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return redirect("documents:list")
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else:
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form = DocumentUploadForm()
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return render(
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request,
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"documents/upload.html",
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{
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"form": form,
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"scenarios": list_scenarios(),
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"upload_checks": [
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"文件格式支持 PDF、DOCX、MD、TXT",
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"业务资料与法规依据资料需分开归属",
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"目录类文件会优先参与完整性校验",
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"上传完成后建议立即进入解析与入库流程",
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],
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},
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)
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@require_POST
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def index(request, document_id: int):
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document = get_object_or_404(UploadedDocument, pk=document_id)
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document = index_document(document)
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if document.status == UploadedDocument.STATUS_INDEXED:
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messages.success(request, "文档入库成功，当前文档已可参与检索。")
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else:
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messages.error(request, "文档入库失败，请检查错误原因后重试。")
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return redirect("documents:list")
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