feat(chat): 支持流式回复与用户节点导航
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@@ -1,9 +1,11 @@
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from __future__ import annotations
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import json
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from django.db.models import Q, QuerySet
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from django.utils import timezone
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from .llm import LLMConfigurationError, LLMRequestError, generate_reply
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from .llm import LLMConfigurationError, LLMRequestError, generate_reply, stream_reply
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from .models import Conversation, Message
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@@ -81,6 +83,47 @@ def send_message(conversation: Conversation, content: str) -> tuple[Message, Mes
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return user_message, assistant_message
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def stream_message(conversation: Conversation, content: str):
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"""Yields SSE events while collecting a streamed assistant reply."""
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user_message = append_user_message(conversation, content)
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assistant_parts: list[str] = []
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yield sse_event(
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"meta",
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{
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"conversation_id": conversation.pk,
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"title": conversation.title or build_conversation_title(content),
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"user_message_id": user_message.pk,
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"user_message": user_message.content,
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},
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)
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try:
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for chunk in stream_reply(conversation, content):
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assistant_parts.append(chunk)
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yield sse_event("chunk", {"delta": chunk})
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except (LLMConfigurationError, LLMRequestError) as exc:
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fallback = f"模型调用失败:{exc}"
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assistant_parts = [fallback]
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yield sse_event("error", {"message": fallback})
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assistant_message = append_assistant_message(conversation, "".join(assistant_parts).strip())
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if conversation.title.startswith("新对话"):
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conversation.title = build_conversation_title(content)
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conversation.save(update_fields=["title", "updated_at"])
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yield sse_event(
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"done",
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{
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"assistant_message_id": assistant_message.pk,
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"conversation_id": conversation.pk,
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"title": conversation.title,
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},
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)
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def build_conversation_title(content: str) -> str:
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"""Creates a concise title from the first user message."""
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@@ -88,3 +131,9 @@ def build_conversation_title(content: str) -> str:
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if not normalized:
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return "新对话"
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return normalized[:24]
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def sse_event(event_name: str, payload: dict[str, object]) -> str:
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"""Formats one server-sent event frame."""
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return f"event: {event_name}\ndata: {json.dumps(payload, ensure_ascii=False)}\n\n"
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