feat: enhance Document Split Node with result processing and problem list generation

apps/application/flow/step_node/document_split_node/impl/base_document_split_node.py

@@ -1,6 +1,7 @@
 # coding=utf-8
 import io
 import mimetypes
+from typing import List
 
 from django.core.files.uploadedfile import InMemoryUploadedFile
 from django.db.models import QuerySet
@@ -38,6 +39,9 @@ class BaseDocumentSplitNode(IDocumentSplitNode):
     def save_context(self, details, workflow_manage):
         self.context['content'] = details.get('content')
 
+    def get_reference_content(self, fields: List[str]):
+        return self.workflow_manage.get_reference_field(fields[0], fields[1:])
+
     def execute(self, files, knowledge_id, split_strategy, paragraph_title_relate_problem_type,
                 paragraph_title_relate_problem, paragraph_title_relate_problem_reference,
                 document_name_relate_problem_type, document_name_relate_problem,
@@ -53,21 +57,27 @@ class BaseDocumentSplitNode(IDocumentSplitNode):
 
             for split_handle in split_handles:
                 if split_handle.support(file_mem, get_buffer):
-                    result = split_handle.handle(file_mem, patterns, with_filter, limit, get_buffer, self.save_image)
-                    if isinstance(result, list):
-                        for item in result:
-                            item['source_file_id'] = file.id
-                        paragraph_list = result
-                    else:
-                        result['source_file_id'] = file.id
-                        paragraph_list = [result]
+                    result = split_handle.handle(file_mem, patterns, with_filter, limit, get_buffer, self._save_image)
+                    # 统一处理结果为列表
+                    results = result if isinstance(result, list) else [result]
+
+                    for item in results:
+                        self._process_split_result(
+                            item, knowledge_id, file.id, file.file_name,
+                            split_strategy, paragraph_title_relate_problem_type,
+                            paragraph_title_relate_problem, paragraph_title_relate_problem_reference,
+                            document_name_relate_problem_type, document_name_relate_problem,
+                            document_name_relate_problem_reference
+                        )
+
+                    paragraph_list = results
+                    break
 
         self.context['paragraph_list'] = paragraph_list
 
-
         return NodeResult({'paragraph_list': paragraph_list}, {})
 
-    def save_image(self, image_list):
+    def _save_image(self, image_list):
         if image_list is not None and len(image_list) > 0:
             exist_image_list = [str(i.get('id')) for i in
                                 QuerySet(File).filter(id__in=[i.id for i in image_list]).values('id')]
@@ -81,6 +91,58 @@ class BaseDocumentSplitNode(IDocumentSplitNode):
                 file.source_id = self.context.get('knowledge_id')
                 file.save(file_bytes)
 
+    def _process_split_result(
+            self, item, knowledge_id, source_file_id, file_name,
+            split_strategy, paragraph_title_relate_problem_type,
+            paragraph_title_relate_problem, paragraph_title_relate_problem_reference,
+            document_name_relate_problem_type, document_name_relate_problem,
+            document_name_relate_problem_reference
+    ):
+        """处理文档分割结果"""
+        item['meta'] = {
+            'knowledge_id': knowledge_id,
+            'source_file_id': source_file_id
+        }
+        item['paragraphs'] = item.pop('content', [])
+
+        for paragraph in item['paragraphs']:
+            paragraph['problem_list'] = self._generate_problem_list(
+                paragraph, file_name,
+                split_strategy, paragraph_title_relate_problem_type,
+                paragraph_title_relate_problem, paragraph_title_relate_problem_reference,
+                document_name_relate_problem_type, document_name_relate_problem,
+                document_name_relate_problem_reference
+            )
+            paragraph['is_active'] = True
+
+    def _generate_problem_list(
+            self, paragraph, document_name, split_strategy, paragraph_title_relate_problem_type,
+            paragraph_title_relate_problem, paragraph_title_relate_problem_reference,
+            document_name_relate_problem_type, document_name_relate_problem,
+            document_name_relate_problem_reference
+    ):
+        if paragraph_title_relate_problem_type == 'referencing':
+            paragraph_title_relate_problem = self.get_reference_content(paragraph_title_relate_problem_reference)
+        if document_name_relate_problem_type == 'referencing':
+            document_name_relate_problem = self.get_reference_content(document_name_relate_problem_reference)
+
+        problem_list = []
+        if split_strategy == 'auto':
+            if paragraph_title_relate_problem and paragraph.get('title'):
+                problem_list.append(paragraph.get('title'))
+            if document_name_relate_problem and document_name:
+                problem_list.append(document_name)
+        elif split_strategy == 'custom':
+            if paragraph_title_relate_problem:
+                problem_list.extend(paragraph_title_relate_problem)
+            if document_name_relate_problem:
+                problem_list.extend(document_name_relate_problem)
+        elif split_strategy == 'qa':
+            if document_name_relate_problem and document_name:
+                problem_list.append(document_name)
+
+        return problem_list
+
     def get_details(self, index: int, **kwargs):
         return {
             'name': self.node.properties.get('stepName'),