ci: enable Ruff SIM113 (#44102)

Co-authored-by: Codex <codex@openai.com>

api/.ruff.toml

@@ -76,7 +76,6 @@ ignore = [
     "SIM103",  # needless-bool
     "SIM105",  # suppressible-exception
     "SIM108",  # if-else-block-instead-of-if-exp
-    "SIM113",  # enumerate-for-loop
     "SIM117",  # multiple-with-statements
     "TID252",  # allow relative imports from parent modules
 ]

api/commands/plugin.py

@@ -223,9 +223,7 @@ def transform_datasource_credentials(environment: str):
                         if notion_package_identifier:
                             # install notion plugin
                             PluginService.install_from_marketplace_pkg(tenant_id, [notion_package_identifier])
-                    auth_count = 0
-                    for notion_tenant_credential in notion_tenant_credentials:
-                        auth_count += 1
+                    for auth_count, notion_tenant_credential in enumerate(notion_tenant_credentials, start=1):
                         # get credential oauth params
                         access_token = notion_tenant_credential.access_token
                         # notion info

api/core/app/apps/base_app_runner.py

@@ -188,8 +188,7 @@ class AppRunner:
         :return:
         """
         if stream:
-            index = 0
-            for token in text:
+            for index, token in enumerate(text):
                 chunk = LLMResultChunk(
                     model=app_generate_entity.model_conf.model,
                     prompt_messages=prompt_messages,
@@ -197,7 +196,6 @@ class AppRunner:
                 )
 
                 queue_manager.publish(QueueLLMChunkEvent(chunk=chunk), PublishFrom.APPLICATION_MANAGER)
-                index += 1
                 time.sleep(0.01)
 
         queue_manager.publish(

api/core/tools/utils/dataset_retriever/dataset_multi_retriever_tool.py

@@ -113,8 +113,7 @@ class DatasetMultiRetrieverTool(DatasetRetrieverBaseTool):
                     document_context_list.append(sign_segment_content(segment, session=session))
             if self.return_resource:
                 context_list: list[RetrievalSourceMetadata] = []
-                resource_number = 1
-                for segment in sorted_segments:
+                for resource_number, segment in enumerate(sorted_segments, start=1):
                     dataset = session.get(Dataset, segment.dataset_id)
                     document_stmt = select(Document).where(
                         Document.id == segment.document_id,
@@ -146,7 +145,6 @@ class DatasetMultiRetrieverTool(DatasetRetrieverBaseTool):
                         else:
                             source.content = segment.content
                         context_list.append(source)
-                    resource_number += 1
 
                 for hit_callback in self.hit_callbacks:
                     hit_callback.return_retriever_resource_info(context_list)