perf: http empty params

docSite/content/zh-cn/docs/development/upgrading/4821.md

@@ -13,9 +13,10 @@ weight: 804
 
 1. 新增 - 弃用/已删除的插件提示。
 2. 新增 - 对话日志按来源分类、标题检索、导出功能。
-3. 新增 - LLM 模型支持 top_p, response_format, json_schema 参数。
-4. 新增 - Doubao1.5 模型预设。
-5. 新增 - 向量模型支持归一化配置，以便适配未归一化的向量模型，例如 Doubao 的 embedding 模型。
+3. 新增 - 全局变量支持拖拽排序。
+4. 新增 - LLM 模型支持 top_p, response_format, json_schema 参数。
+5. 新增 - Doubao1.5 模型预设。阿里 embedding3 预设。
+6. 新增 - 向量模型支持归一化配置，以便适配未归一化的向量模型，例如 Doubao 的 embedding 模型。
 6. 新增 - AI 对话节点，支持输出思考过程结果，可用于其他节点引用。
 7. 优化 - 模型未配置时错误提示。
 8. 优化 - 适配非 Stream 模式思考输出。

packages/global/common/string/tools.ts

@@ -26,7 +26,7 @@ export const simpleText = (text = '') => {
 };
 
 export const valToStr = (val: any) => {
-  if (val === undefined) return 'undefined';
+  if (val === undefined) return '';
   if (val === null) return 'null';
 
   if (typeof val === 'object') return JSON.stringify(val);

packages/global/core/workflow/runtime/utils.ts

@@ -292,13 +292,12 @@ export const getReferenceVariableValue = ({
 
 export const formatVariableValByType = (val: any, valueType?: WorkflowIOValueTypeEnum) => {
   if (!valueType) return val;
+  if (val === undefined || val === null) return;
   // Value type check, If valueType invalid, return undefined
   if (valueType.startsWith('array') && !Array.isArray(val)) return undefined;
   if (valueType === WorkflowIOValueTypeEnum.boolean) return Boolean(val);
   if (valueType === WorkflowIOValueTypeEnum.number) return Number(val);
   if (valueType === WorkflowIOValueTypeEnum.string) {
-    if (val === undefined) return 'undefined';
-    if (val === null) return 'null';
     return typeof val === 'object' ? JSON.stringify(val) : String(val);
   }
   if (

packages/service/core/ai/config/provider/Qwen.json

@@ -245,6 +245,13 @@
       "showTopP": true,
       "showStopSign": true,
       "responseFormatList": ["text", "json_object"]
+    },
+    {
+      "model": "text-embedding-v3",
+      "name": "text-embedding-v3",
+      "defaultToken": 512,
+      "maxToken": 8000,
+      "type": "embedding"
     }
   ]
 }

packages/service/core/workflow/dispatch/chat/oneapi.ts

@@ -51,7 +51,7 @@ import { ModelTypeEnum } from '@fastgpt/global/core/ai/model';
 
 export type ChatProps = ModuleDispatchProps<
   AIChatNodeProps & {
-    [NodeInputKeyEnum.userChatInput]: string;
+    [NodeInputKeyEnum.userChatInput]?: string;
     [NodeInputKeyEnum.history]?: ChatItemType[] | number;
     [NodeInputKeyEnum.aiChatDatasetQuote]?: SearchDataResponseItemType[];
   }
@@ -81,7 +81,7 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
       maxToken,
       history = 6,
       quoteQA,
-      userChatInput,
+      userChatInput = '',
       isResponseAnswerText = true,
       systemPrompt = '',
       aiChatQuoteRole = 'system',

packages/service/core/workflow/dispatch/dataset/search.ts

@@ -23,10 +23,10 @@ type DatasetSearchProps = ModuleDispatchProps<{
   [NodeInputKeyEnum.datasetSimilarity]: number;
   [NodeInputKeyEnum.datasetMaxTokens]: number;
   [NodeInputKeyEnum.datasetSearchMode]: `${DatasetSearchModeEnum}`;
-  [NodeInputKeyEnum.userChatInput]: string;
+  [NodeInputKeyEnum.userChatInput]?: string;
   [NodeInputKeyEnum.datasetSearchUsingReRank]: boolean;
   [NodeInputKeyEnum.collectionFilterMatch]: string;
-  [NodeInputKeyEnum.authTmbId]: boolean;
+  [NodeInputKeyEnum.authTmbId]?: boolean;
 
   [NodeInputKeyEnum.datasetSearchUsingExtensionQuery]: boolean;
   [NodeInputKeyEnum.datasetSearchExtensionModel]: string;
@@ -55,7 +55,7 @@ export async function dispatchDatasetSearch(
       limit = 1500,
       usingReRank,
       searchMode,
-      userChatInput,
+      userChatInput = '',
       authTmbId = false,
       collectionFilterMatch,
 

packages/service/core/workflow/dispatch/tools/http468.ts

@@ -38,10 +38,10 @@ type HttpRequestProps = ModuleDispatchProps<{
   [NodeInputKeyEnum.abandon_httpUrl]: string;
   [NodeInputKeyEnum.httpMethod]: string;
   [NodeInputKeyEnum.httpReqUrl]: string;
-  [NodeInputKeyEnum.httpHeaders]: PropsArrType[];
-  [NodeInputKeyEnum.httpParams]: PropsArrType[];
-  [NodeInputKeyEnum.httpJsonBody]: string;
-  [NodeInputKeyEnum.httpFormBody]: PropsArrType[];
+  [NodeInputKeyEnum.httpHeaders]?: PropsArrType[];
+  [NodeInputKeyEnum.httpParams]?: PropsArrType[];
+  [NodeInputKeyEnum.httpJsonBody]?: string;
+  [NodeInputKeyEnum.httpFormBody]?: PropsArrType[];
   [NodeInputKeyEnum.httpContentType]: ContentTypes;
   [NodeInputKeyEnum.addInputParam]: Record<string, any>;
   [NodeInputKeyEnum.httpTimeout]?: number;
@@ -76,10 +76,10 @@ export const dispatchHttp468Request = async (props: HttpRequestProps): Promise<H
     params: {
       system_httpMethod: httpMethod = 'POST',
       system_httpReqUrl: httpReqUrl,
-      system_httpHeader: httpHeader,
+      system_httpHeader: httpHeader = [],
       system_httpParams: httpParams = [],
-      system_httpJsonBody: httpJsonBody,
-      system_httpFormBody: httpFormBody,
+      system_httpJsonBody: httpJsonBody = '',
+      system_httpFormBody: httpFormBody = [],
       system_httpContentType: httpContentType = ContentTypes.json,
       system_httpTimeout: httpTimeout = 60,
       [NodeInputKeyEnum.addInputParam]: dynamicInput,

projects/app/src/pageComponents/app/detail/WorkflowComponents/Flow/nodes/NodeHttp/index.tsx

@@ -34,7 +34,6 @@ import LightRowTabs from '@fastgpt/web/components/common/Tabs/LightRowTabs';
 import MyIcon from '@fastgpt/web/components/common/Icon';
 import { FlowNodeInputItemType } from '@fastgpt/global/core/workflow/type/io.d';
 import { useToast } from '@fastgpt/web/hooks/useToast';
-import JSONEditor from '@fastgpt/web/components/common/Textarea/JsonEditor';
 import { EditorVariableLabelPickerType } from '@fastgpt/web/components/common/Textarea/PromptEditor/type';
 import HttpInput from '@fastgpt/web/components/common/Input/HttpInput';
 import dynamic from 'next/dynamic';

projects/app/src/pages/login/index.tsx

@@ -81,7 +81,7 @@ const Login = ({ ChineseRedirectUrl }: { ChineseRedirectUrl: string }) => {
         router.push(navigateTo);
       }, 300);
     },
-    [lastRoute, router, setUserInfo, llmModelList]
+    [setUserInfo, llmModelList?.length, lastRoute, toast, t, router]
   );
 
   const DynamicComponent = useMemo(() => {