feat(file-summary): 接入文件汇总工作流触发

review_agent/services.py

@@ -3,8 +3,11 @@ from __future__ import annotations
 import json
 
 from django.db.models import Q, QuerySet
+from django.conf import settings
 from django.utils import timezone
 
+from .file_summary.workflow import create_file_summary_batch, start_file_summary_workflow
+from .file_summary.workflow_trigger import evaluate_file_summary_trigger
 from .llm import LLMConfigurationError, LLMRequestError, generate_reply, stream_reply
 from .models import Conversation, Message
 
@@ -88,6 +91,7 @@ def stream_message(conversation: Conversation, content: str):
 
     user_message = append_user_message(conversation, content)
     assistant_parts: list[str] = []
+    trigger = evaluate_file_summary_trigger(conversation, content)
 
     yield sse_event(
         "meta",
@@ -99,6 +103,51 @@ def stream_message(conversation: Conversation, content: str):
         },
     )
 
+    if trigger.reason == "missing_attachment":
+        reply_content = "请先在当前对话右侧上传需要汇总的文件或压缩包，然后再发送自动汇总指令。"
+        assistant_message = append_assistant_message(conversation, reply_content)
+        yield sse_event("chunk", {"delta": reply_content})
+        yield sse_event(
+            "done",
+            {
+                "assistant_message_id": assistant_message.pk,
+                "conversation_id": conversation.pk,
+                "title": conversation.title,
+            },
+        )
+        return
+
+    if trigger.should_start:
+        batch = create_file_summary_batch(
+            conversation=conversation,
+            user=conversation.user,
+            trigger_message=user_message,
+        )
+        start_file_summary_workflow(
+            batch,
+            async_run=getattr(settings, "FILE_SUMMARY_ASYNC", True),
+        )
+        reply_content = f"已启动文件目录与页数自动汇总工作流，批次号：{batch.batch_no}。"
+        assistant_message = append_assistant_message(conversation, reply_content)
+        yield sse_event(
+            "workflow_started",
+            {
+                "workflow_type": "file_summary",
+                "batch_id": batch.pk,
+                "batch_no": batch.batch_no,
+            },
+        )
+        yield sse_event("chunk", {"delta": reply_content})
+        yield sse_event(
+            "done",
+            {
+                "assistant_message_id": assistant_message.pk,
+                "conversation_id": conversation.pk,
+                "title": conversation.title,
+            },
+        )
+        return
+
     try:
         for chunk in stream_reply(conversation, content):
             assistant_parts.append(chunk)