feat(regulatory): 接入法规核查触发与工作流骨架

review_agent/services.py

@@ -11,6 +11,11 @@ from .file_summary.skills.attachment_reader import AttachmentReaderSkill
 from .file_summary.workflow import create_file_summary_batch, start_file_summary_workflow
 from .llm import LLMConfigurationError, LLMRequestError, generate_reply, stream_reply
 from .models import Conversation, FileAttachment, Message
+from .regulatory_review.workflow import (
+    create_regulatory_review_batch,
+    find_latest_successful_summary_batch,
+    start_regulatory_review_workflow,
+)
 from .skill_router import route_message_intent
 
 
@@ -219,6 +224,52 @@ def stream_message(conversation: Conversation, content: str):
         )
         return
 
+    if route.starts_regulatory_review:
+        source_summary_batch = find_latest_successful_summary_batch(conversation)
+        if not source_summary_batch:
+            reply_content = "请先执行自动汇总，生成成功的文件汇总批次后再启动法规核查。"
+            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
+        batch = create_regulatory_review_batch(
+            conversation=conversation,
+            user=conversation.user,
+            trigger_message=user_message,
+            source_summary_batch=source_summary_batch,
+        )
+        start_regulatory_review_workflow(
+            batch,
+            async_run=getattr(settings, "REGULATORY_REVIEW_ASYNC", True),
+        )
+        reply_content = f"已启动 NMPA 注册资料法规核查工作流，批次号：{batch.batch_no}。"
+        assistant_message = append_assistant_message(conversation, reply_content)
+        yield sse_event(
+            "workflow_started",
+            {
+                "workflow_type": "regulatory_review",
+                "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
+
     stream_failed = False
     stream_error = ""
     try: