4.8.10 test (#2573)

* feat: more debug response

* fix: debug edge status

* perf: doc

* fix: workflow edge check

* perf: i18n

* package.json

* perf: markdown mask

packages/service/core/workflow/dispatch/agent/runTool/functionCall.ts

@@ -254,13 +254,15 @@ export const runToolWithFunctionCall = async (
     // console.log(tokens, 'tool');
 
     // Run tool status
-    workflowStreamResponse?.({
-      event: SseResponseEventEnum.flowNodeStatus,
-      data: {
-        status: 'running',
-        name: node.name
-      }
-    });
+    if (node.showStatus) {
+      workflowStreamResponse?.({
+        event: SseResponseEventEnum.flowNodeStatus,
+        data: {
+          status: 'running',
+          name: node.name
+        }
+      });
+    }
 
     // tool assistant
     const toolAssistants = toolsRunResponse

packages/service/core/workflow/dispatch/agent/runTool/promptCall.ts

@@ -258,13 +258,15 @@ export const runToolWithPromptCall = async (
   })();
 
   // Run tool status
-  workflowStreamResponse?.({
-    event: SseResponseEventEnum.flowNodeStatus,
-    data: {
-      status: 'running',
-      name: node.name
-    }
-  });
+  if (node.showStatus) {
+    workflowStreamResponse?.({
+      event: SseResponseEventEnum.flowNodeStatus,
+      data: {
+        status: 'running',
+        name: node.name
+      }
+    });
+  }
 
   // 合并工具调用的结果，使用 functionCall 格式存储。
   const assistantToolMsgParams: ChatCompletionAssistantMessageParam = {

packages/service/core/workflow/dispatch/agent/runTool/toolChoice.ts

@@ -265,13 +265,15 @@ export const runToolWithToolChoice = async (
       // console.log(tokens, 'tool');
 
       // Run tool status
-      workflowStreamResponse?.({
-        event: SseResponseEventEnum.flowNodeStatus,
-        data: {
-          status: 'running',
-          name: node.name
-        }
-      });
+      if (node.showStatus) {
+        workflowStreamResponse?.({
+          event: SseResponseEventEnum.flowNodeStatus,
+          data: {
+            status: 'running',
+            name: node.name
+          }
+        });
+      }
 
       // tool assistant
       const toolAssistants = toolsRunResponse

packages/service/core/workflow/dispatch/index.ts

@@ -310,9 +310,11 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
 
       const flat = result.flat().filter(Boolean) as unknown as {
         node: RuntimeNodeItemType;
+        runStatus: 'run' | 'skip';
         result: Record<string, any>;
       }[];
-      if (flat.length === 0) return;
+      // If there are no running nodes, the workflow is complete
+      if (!flat.some((item) => item.runStatus === 'run')) return;
 
       // Update the node output at the end of the run and get the next nodes
       const nextNodes = flat.map((item) => nodeOutput(item.node, item.result)).flat();
@@ -454,6 +456,7 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
 
     return {
       node,
+      runStatus: 'run',
       result: {
         ...dispatchRes,
         [DispatchNodeResponseKeyEnum.nodeResponse]: formatResponseData
@@ -467,6 +470,7 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
 
     return {
       node,
+      runStatus: 'skip',
       result: {
         [DispatchNodeResponseKeyEnum.skipHandleId]: targetEdges.map((item) => item.sourceHandle)
       }

packages/service/core/workflow/dispatch/init/workflowStart.tsx

@@ -1,14 +1,18 @@
 import { chatValue2RuntimePrompt } from '@fastgpt/global/core/chat/adapt';
 import { NodeInputKeyEnum, NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
-import type { ModuleDispatchProps } from '@fastgpt/global/core/workflow/runtime/type';
+import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
+import type {
+  DispatchNodeResultType,
+  ModuleDispatchProps
+} from '@fastgpt/global/core/workflow/runtime/type';
 
 export type UserChatInputProps = ModuleDispatchProps<{
   [NodeInputKeyEnum.userChatInput]: string;
 }>;
-type Response = {
+type Response = DispatchNodeResultType<{
   [NodeOutputKeyEnum.userChatInput]: string;
   [NodeOutputKeyEnum.userFiles]: string[];
-};
+}>;
 
 export const dispatchWorkflowStart = (props: Record<string, any>): Response => {
   const {
@@ -19,6 +23,7 @@ export const dispatchWorkflowStart = (props: Record<string, any>): Response => {
   const { text, files } = chatValue2RuntimePrompt(query);
 
   return {
+    [DispatchNodeResponseKeyEnum.nodeResponse]: {},
     [NodeInputKeyEnum.userChatInput]: text || userChatInput,
     [NodeOutputKeyEnum.userFiles]: files
       .map((item) => {

packages/service/core/workflow/dispatch/tools/runIfElse.ts

@@ -13,7 +13,6 @@ import {
 import { ModuleDispatchProps } from '@fastgpt/global/core/workflow/runtime/type';
 import { getElseIFLabel, getHandleId } from '@fastgpt/global/core/workflow/utils';
 import { getReferenceVariableValue } from '@fastgpt/global/core/workflow/runtime/utils';
-import { replaceRegChars } from '@fastgpt/global/common/string/tools';
 
 type Props = ModuleDispatchProps<{
   [NodeInputKeyEnum.condition]: IfElseConditionType;