76 lines
2.6 KiB
Python
76 lines
2.6 KiB
Python
from django.contrib.auth.decorators import login_required
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from django.http import HttpRequest, HttpResponse, JsonResponse, StreamingHttpResponse
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from django.shortcuts import redirect, render
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from django.views.decorators.http import require_http_methods
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from .services import (
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create_conversation,
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get_conversation_for_user,
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list_conversations,
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send_message,
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stream_message,
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)
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@login_required
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@require_http_methods(["GET", "POST"])
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def workspace(request: HttpRequest) -> HttpResponse:
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"""Renders the review-agent workspace and handles conversation actions."""
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if request.method == "POST":
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action = request.POST.get("action")
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conversation = get_conversation_for_user(request.user, request.POST.get("conversation_id"))
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if action == "new_conversation":
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conversation = create_conversation(request.user)
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return redirect(f"/?conversation={conversation.pk}")
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if action == "send_message":
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content = (request.POST.get("prompt") or "").strip()
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if not conversation:
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conversation = create_conversation(request.user)
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if content:
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send_message(conversation, content)
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return redirect(f"/?conversation={conversation.pk}")
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search = (request.GET.get("q") or "").strip()
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conversations = list_conversations(request.user, search)
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current = get_conversation_for_user(request.user, request.GET.get("conversation"))
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if current is None and conversations.exists():
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current = conversations.first()
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return render(
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request,
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"home.html",
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{
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"page_title": "审核智能体",
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"search_query": search,
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"conversations": conversations,
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"current_conversation": current,
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"messages": current.messages.all() if current else [],
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},
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)
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@login_required
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@require_http_methods(["POST"])
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def stream_chat(request: HttpRequest) -> HttpResponse:
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"""Streams one assistant reply so the UI can render incremental output."""
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content = (request.POST.get("prompt") or "").strip()
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if not content:
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return JsonResponse({"error": "消息内容不能为空。"}, status=400)
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conversation = get_conversation_for_user(request.user, request.POST.get("conversation_id"))
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if not conversation:
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conversation = create_conversation(request.user)
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response = StreamingHttpResponse(
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streaming_content=stream_message(conversation, content),
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content_type="text/event-stream",
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)
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response["Cache-Control"] = "no-cache"
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response["X-Accel-Buffering"] = "no"
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return response
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