mirror of
https://github.com/csunny/DB-GPT.git
synced 2025-09-11 13:58:58 +00:00
feat: Update flow translations for Chinese and English locales
This commit is contained in:
@@ -4,8 +4,8 @@ import {
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PostAgentMyPluginResponse,
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PostAgentPluginResponse,
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PostAgentQueryParams,
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} from '@/types/agent';
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import { GetAppInfoParams, IApp, IAgent, IAppData } from '@/types/app';
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} from "@/types/agent";
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import { GetAppInfoParams, IApp, IAgent, IAppData } from "@/types/app";
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import {
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ChatHistoryResponse,
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DialogueListResponse,
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@@ -16,8 +16,14 @@ import {
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SceneResponse,
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UserParam,
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UserParamResponse,
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} from '@/types/chat';
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import { ChatFeedBackSchema, DbListResponse, DbSupportTypeResponse, PostDbParams, PostDbRefreshParams } from '@/types/db';
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} from "@/types/chat";
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import {
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ChatFeedBackSchema,
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DbListResponse,
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DbSupportTypeResponse,
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PostDbParams,
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PostDbRefreshParams,
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} from "@/types/db";
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import {
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GetEditorSQLRoundRequest,
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GetEditorySqlParams,
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@@ -25,8 +31,7 @@ import {
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PostEditorChartRunResponse,
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PostEditorSQLRunParams,
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PostSQLEditorSubmitParams,
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} from '@/types/editor';
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import { IFlow, IFlowNode, IFlowUpdateParam, IFlowResponse } from '@/types/flow';
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} from "@/types/editor";
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import {
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AddKnowledgeParams,
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ArgumentsParams,
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@@ -41,11 +46,16 @@ import {
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ISyncBatchParameter,
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ISyncBatchResponse,
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SpaceConfig,
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} from '@/types/knowledge';
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import { BaseModelParams, IModelData, StartModelParams, SupportModel } from '@/types/model';
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import { AxiosRequestConfig } from 'axios';
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import { DELETE, GET, POST, PUT } from '.';
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import { UpdatePromptParams, IPrompt, PromptParams } from '@/types/prompt';
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} from "@/types/knowledge";
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import {
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BaseModelParams,
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IModelData,
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StartModelParams,
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SupportModel,
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} from "@/types/model";
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import { AxiosRequestConfig } from "axios";
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import { DELETE, GET, POST, PUT } from ".";
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import { UpdatePromptParams, IPrompt, PromptParams } from "@/types/prompt";
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import {
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IFlow,
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IFlowNode,
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@@ -56,59 +66,67 @@ import {
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IFlowImportParams,
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IUploadFileRequestParams,
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IUploadFileResponse,
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} from '@/types/flow';
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import { IAgent, IApp, IAppData } from '@/types/app';
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} from "@/types/flow";
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/** App */
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export const postScenes = () => {
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return POST<null, Array<SceneResponse>>('/api/v1/chat/dialogue/scenes');
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return POST<null, Array<SceneResponse>>("/api/v1/chat/dialogue/scenes");
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};
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export const newDialogue = (data: NewDialogueParam) => {
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return POST<NewDialogueParam, IChatDialogueSchema>(`/api/v1/chat/dialogue/new?chat_mode=${data.chat_mode}&model_name=${data.model}`, data);
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return POST<NewDialogueParam, IChatDialogueSchema>(
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`/api/v1/chat/dialogue/new?chat_mode=${data.chat_mode}&model_name=${data.model}`,
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data
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);
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};
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export const addUser = (data: UserParam) => {
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return POST<UserParam, UserParamResponse>('/api/v1/user/add', data);
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return POST<UserParam, UserParamResponse>("/api/v1/user/add", data);
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};
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/** Database Page */
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export const getDbList = () => {
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return GET<null, DbListResponse>('/api/v1/chat/db/list');
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return GET<null, DbListResponse>("/api/v1/chat/db/list");
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};
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export const getDbSupportType = () => {
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return GET<null, DbSupportTypeResponse>('/api/v1/chat/db/support/type');
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return GET<null, DbSupportTypeResponse>("/api/v1/chat/db/support/type");
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};
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export const postDbDelete = (dbName: string) => {
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return POST(`/api/v1/chat/db/delete?db_name=${dbName}`);
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};
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export const postDbEdit = (data: PostDbParams) => {
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return POST<PostDbParams, null>('/api/v1/chat/db/edit', data);
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return POST<PostDbParams, null>("/api/v1/chat/db/edit", data);
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};
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export const postDbAdd = (data: PostDbParams) => {
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return POST<PostDbParams, null>('/api/v1/chat/db/add', data);
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return POST<PostDbParams, null>("/api/v1/chat/db/add", data);
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};
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export const postDbTestConnect = (data: PostDbParams) => {
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return POST<PostDbParams, null>('/api/v1/chat/db/test/connect', data);
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return POST<PostDbParams, null>("/api/v1/chat/db/test/connect", data);
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};
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export const postDbRefresh = (data: PostDbRefreshParams) => {
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return POST<PostDbRefreshParams, boolean>('/api/v1/chat/db/refresh', data);
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return POST<PostDbRefreshParams, boolean>("/api/v1/chat/db/refresh", data);
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};
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/** Chat Page */
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export const getDialogueList = () => {
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return GET<null, DialogueListResponse>('/api/v1/chat/dialogue/list');
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return GET<null, DialogueListResponse>("/api/v1/chat/dialogue/list");
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};
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export const getUsableModels = () => {
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return GET<null, Array<string>>('/api/v1/model/types');
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return GET<null, Array<string>>("/api/v1/model/types");
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};
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export const postChatModeParamsList = (chatMode: string) => {
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return POST<null, IDB[]>(`/api/v1/chat/mode/params/list?chat_mode=${chatMode}`);
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return POST<null, IDB[]>(
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`/api/v1/chat/mode/params/list?chat_mode=${chatMode}`
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);
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};
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export const postChatModeParamsInfoList = (chatMode: string) => {
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return POST<null, Record<string, string>>(`/api/v1/chat/mode/params/info?chat_mode=${chatMode}`);
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return POST<null, Record<string, string>>(
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`/api/v1/chat/mode/params/info?chat_mode=${chatMode}`
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);
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};
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export const getChatHistory = (convId: string) => {
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return GET<null, ChatHistoryResponse>(`/api/v1/chat/dialogue/messages/history?con_uid=${convId}`);
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return GET<null, ChatHistoryResponse>(
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`/api/v1/chat/dialogue/messages/history?con_uid=${convId}`
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);
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};
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export const postChatModeParamsFileLoad = ({
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convUid,
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@@ -125,22 +143,24 @@ export const postChatModeParamsFileLoad = ({
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model: string;
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userName?: string;
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sysCode?: string;
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config?: Omit<AxiosRequestConfig, 'headers'>;
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config?: Omit<AxiosRequestConfig, "headers">;
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}) => {
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return POST<FormData, any>(
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`/api/v1/resource/file/upload?conv_uid=${convUid}&chat_mode=${chatMode}&model_name=${model}&user_name=${userName}&sys_code=${sysCode}`,
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data,
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{
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headers: {
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'Content-Type': 'multipart/form-data',
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"Content-Type": "multipart/form-data",
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},
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...config,
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},
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}
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);
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};
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export const clearChatHistory = (conUid: string) => {
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return POST<null, Record<string, string>>(`/api/v1/chat/dialogue/clear?con_uid=${conUid}`);
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return POST<null, Record<string, string>>(
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`/api/v1/chat/dialogue/clear?con_uid=${conUid}`
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);
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};
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/** Menu */
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@@ -150,19 +170,27 @@ export const delDialogue = (conv_uid: string) => {
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/** Editor */
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export const getEditorSqlRounds = (id: string) => {
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return GET<null, GetEditorSQLRoundRequest>(`/api/v1/editor/sql/rounds?con_uid=${id}`);
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return GET<null, GetEditorSQLRoundRequest>(
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`/api/v1/editor/sql/rounds?con_uid=${id}`
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);
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};
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export const postEditorSqlRun = (data: PostEditorSQLRunParams) => {
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return POST<PostEditorSQLRunParams>(`/api/v1/editor/sql/run`, data);
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};
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export const postEditorChartRun = (data: PostEditorChartRunParams) => {
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return POST<PostEditorChartRunParams, PostEditorChartRunResponse>(`/api/v1/editor/chart/run`, data);
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return POST<PostEditorChartRunParams, PostEditorChartRunResponse>(
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`/api/v1/editor/chart/run`,
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data
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);
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};
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export const postSqlEditorSubmit = (data: PostSQLEditorSubmitParams) => {
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return POST<PostSQLEditorSubmitParams>(`/api/v1/sql/editor/submit`, data);
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};
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export const getEditorSql = (id: string, round: string | number) => {
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return POST<GetEditorySqlParams, string | Array<any>>('/api/v1/editor/sql', { con_uid: id, round });
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return POST<GetEditorySqlParams, string | Array<any>>("/api/v1/editor/sql", {
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con_uid: id,
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round,
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});
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};
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/** knowledge */
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@@ -170,21 +198,36 @@ export const getArguments = (knowledgeName: string) => {
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return POST<any, IArguments>(`/knowledge/${knowledgeName}/arguments`, {});
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};
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export const saveArguments = (knowledgeName: string, data: ArgumentsParams) => {
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return POST<ArgumentsParams, IArguments>(`/knowledge/${knowledgeName}/argument/save`, data);
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return POST<ArgumentsParams, IArguments>(
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`/knowledge/${knowledgeName}/argument/save`,
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data
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);
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};
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export const getSpaceList = (data: any) => {
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return POST<any, Array<ISpace>>('/knowledge/space/list', data);
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return POST<any, Array<ISpace>>("/knowledge/space/list", data);
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};
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export const getDocumentList = (spaceName: string, data: Record<string, number | Array<number>>) => {
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return POST<Record<string, number | Array<number>>, IDocumentResponse>(`/knowledge/${spaceName}/document/list`, data);
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export const getDocumentList = (
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spaceName: string,
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data: Record<string, number | Array<number>>
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) => {
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return POST<Record<string, number | Array<number>>, IDocumentResponse>(
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`/knowledge/${spaceName}/document/list`,
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data
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);
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};
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export const getGraphVis = (spaceName: string, data: { limit: number }) => {
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return POST<Record<string, number>, GraphVisResult>(`/knowledge/${spaceName}/graphvis`, data);
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return POST<Record<string, number>, GraphVisResult>(
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`/knowledge/${spaceName}/graphvis`,
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data
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);
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};
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export const addDocument = (knowledgeName: string, data: DocumentParams) => {
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return POST<DocumentParams, number>(`/knowledge/${knowledgeName}/document/add`, data);
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return POST<DocumentParams, number>(
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`/knowledge/${knowledgeName}/document/add`,
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data
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);
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};
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export const addSpace = (data: AddKnowledgeParams) => {
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@@ -192,27 +235,53 @@ export const addSpace = (data: AddKnowledgeParams) => {
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};
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export const getChunkStrategies = () => {
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return GET<null, Array<IChunkStrategyResponse>>('/knowledge/document/chunkstrategies');
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return GET<null, Array<IChunkStrategyResponse>>(
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"/knowledge/document/chunkstrategies"
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);
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};
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export const syncDocument = (spaceName: string, data: Record<string, Array<number>>) => {
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return POST<Record<string, Array<number>>, string | null>(`/knowledge/${spaceName}/document/sync`, data);
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export const syncDocument = (
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spaceName: string,
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data: Record<string, Array<number>>
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) => {
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return POST<Record<string, Array<number>>, string | null>(
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`/knowledge/${spaceName}/document/sync`,
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data
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);
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};
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export const syncBatchDocument = (spaceName: string, data: Array<ISyncBatchParameter>) => {
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return POST<Array<ISyncBatchParameter>, ISyncBatchResponse>(`/knowledge/${spaceName}/document/sync_batch`, data);
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export const syncBatchDocument = (
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spaceName: string,
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data: Array<ISyncBatchParameter>
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) => {
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return POST<Array<ISyncBatchParameter>, ISyncBatchResponse>(
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`/knowledge/${spaceName}/document/sync_batch`,
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data
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);
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};
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export const uploadDocument = (knowLedgeName: string, data: FormData) => {
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return POST<FormData, number>(`/knowledge/${knowLedgeName}/document/upload`, data);
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return POST<FormData, number>(
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`/knowledge/${knowLedgeName}/document/upload`,
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data
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);
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};
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export const getChunkList = (spaceName: string, data: ChunkListParams) => {
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return POST<ChunkListParams, IChunkList>(`/knowledge/${spaceName}/chunk/list`, data);
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return POST<ChunkListParams, IChunkList>(
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`/knowledge/${spaceName}/chunk/list`,
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data
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);
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};
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export const delDocument = (spaceName: string, data: Record<string, number>) => {
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return POST<Record<string, number>, null>(`/knowledge/${spaceName}/document/delete`, data);
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export const delDocument = (
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spaceName: string,
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data: Record<string, number>
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) => {
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return POST<Record<string, number>, null>(
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`/knowledge/${spaceName}/document/delete`,
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data
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);
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};
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export const delSpace = (data: Record<string, string>) => {
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@@ -221,48 +290,68 @@ export const delSpace = (data: Record<string, string>) => {
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/** models */
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export const getModelList = () => {
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return GET<null, Array<IModelData>>('/api/v1/worker/model/list');
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return GET<null, Array<IModelData>>("/api/v1/worker/model/list");
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};
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export const stopModel = (data: BaseModelParams) => {
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return POST<BaseModelParams, boolean>('/api/v1/worker/model/stop', data);
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return POST<BaseModelParams, boolean>("/api/v1/worker/model/stop", data);
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};
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export const startModel = (data: StartModelParams) => {
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return POST<StartModelParams, boolean>('/api/v1/worker/model/start', data);
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return POST<StartModelParams, boolean>("/api/v1/worker/model/start", data);
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};
|
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|
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export const getSupportModels = () => {
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return GET<null, Array<SupportModel>>('/api/v1/worker/model/params');
|
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return GET<null, Array<SupportModel>>("/api/v1/worker/model/params");
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};
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|
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/** Agent */
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export const postAgentQuery = (data: PostAgentQueryParams) => {
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return POST<PostAgentQueryParams, PostAgentPluginResponse>('/api/v1/agent/query', data);
|
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return POST<PostAgentQueryParams, PostAgentPluginResponse>(
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"/api/v1/agent/query",
|
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data
|
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);
|
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};
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export const postAgentHubUpdate = (data?: PostAgentHubUpdateParams) => {
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return POST<PostAgentHubUpdateParams>('/api/v1/agent/hub/update', data ?? { channel: '', url: '', branch: '', authorization: '' });
|
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return POST<PostAgentHubUpdateParams>(
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"/api/v1/agent/hub/update",
|
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data ?? { channel: "", url: "", branch: "", authorization: "" }
|
||||
);
|
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};
|
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export const postAgentMy = (user?: string) => {
|
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return POST<undefined, PostAgentMyPluginResponse>('/api/v1/agent/my', undefined, { params: { user } });
|
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return POST<undefined, PostAgentMyPluginResponse>(
|
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"/api/v1/agent/my",
|
||||
undefined,
|
||||
{ params: { user } }
|
||||
);
|
||||
};
|
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export const postAgentInstall = (pluginName: string, user?: string) => {
|
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return POST('/api/v1/agent/install', undefined, { params: { plugin_name: pluginName, user }, timeout: 60000 });
|
||||
return POST("/api/v1/agent/install", undefined, {
|
||||
params: { plugin_name: pluginName, user },
|
||||
timeout: 60000,
|
||||
});
|
||||
};
|
||||
export const postAgentUninstall = (pluginName: string, user?: string) => {
|
||||
return POST('/api/v1/agent/uninstall', undefined, { params: { plugin_name: pluginName, user }, timeout: 60000 });
|
||||
return POST("/api/v1/agent/uninstall", undefined, {
|
||||
params: { plugin_name: pluginName, user },
|
||||
timeout: 60000,
|
||||
});
|
||||
};
|
||||
export const postAgentUpload = (user = '', data: FormData, config?: Omit<AxiosRequestConfig, 'headers'>) => {
|
||||
return POST<FormData>('/api/v1/personal/agent/upload', data, {
|
||||
export const postAgentUpload = (
|
||||
user = "",
|
||||
data: FormData,
|
||||
config?: Omit<AxiosRequestConfig, "headers">
|
||||
) => {
|
||||
return POST<FormData>("/api/v1/personal/agent/upload", data, {
|
||||
params: { user },
|
||||
headers: {
|
||||
'Content-Type': 'multipart/form-data',
|
||||
"Content-Type": "multipart/form-data",
|
||||
},
|
||||
...config,
|
||||
});
|
||||
};
|
||||
export const getDbgptsList = () => {
|
||||
return GET<undefined, GetDBGPTsListResponse>('/api/v1/dbgpts/list');
|
||||
return GET<undefined, GetDBGPTsListResponse>("/api/v1/dbgpts/list");
|
||||
};
|
||||
|
||||
/** chat feedback **/
|
||||
@@ -270,12 +359,21 @@ export const getChatFeedBackSelect = () => {
|
||||
return GET<null, FeedBack>(`/api/v1/feedback/select`, undefined);
|
||||
};
|
||||
export const getChatFeedBackItme = (conv_uid: string, conv_index: number) => {
|
||||
return GET<null, Record<string, string>>(`/api/v1/feedback/find?conv_uid=${conv_uid}&conv_index=${conv_index}`, undefined);
|
||||
return GET<null, Record<string, string>>(
|
||||
`/api/v1/feedback/find?conv_uid=${conv_uid}&conv_index=${conv_index}`,
|
||||
undefined
|
||||
);
|
||||
};
|
||||
export const postChatFeedBackForm = ({ data, config }: { data: ChatFeedBackSchema; config?: Omit<AxiosRequestConfig, 'headers'> }) => {
|
||||
export const postChatFeedBackForm = ({
|
||||
data,
|
||||
config,
|
||||
}: {
|
||||
data: ChatFeedBackSchema;
|
||||
config?: Omit<AxiosRequestConfig, "headers">;
|
||||
}) => {
|
||||
return POST<ChatFeedBackSchema, any>(`/api/v1/feedback/commit`, data, {
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
...config,
|
||||
});
|
||||
@@ -285,11 +383,11 @@ export const postChatFeedBackForm = ({ data, config }: { data: ChatFeedBackSchem
|
||||
|
||||
/** AWEL Flow */
|
||||
export const addFlow = (data: IFlowUpdateParam) => {
|
||||
return POST<IFlowUpdateParam, IFlow>('/api/v2/serve/awel/flows', data);
|
||||
return POST<IFlowUpdateParam, IFlow>("/api/v2/serve/awel/flows", data);
|
||||
};
|
||||
|
||||
export const getFlows = (page?: number, page_size?: number) => {
|
||||
return GET<any, IFlowResponse>('/api/v2/serve/awel/flows', {
|
||||
return GET<any, IFlowResponse>("/api/v2/serve/awel/flows", {
|
||||
page,
|
||||
page_size,
|
||||
});
|
||||
@@ -312,23 +410,32 @@ export const getFlowNodes = () => {
|
||||
};
|
||||
|
||||
export const refreshFlowNodeById = (data: IFlowRefreshParams) => {
|
||||
return POST<IFlowRefreshParams, IFlowNode>('/api/v2/serve/awel/nodes/refresh', data);
|
||||
return POST<IFlowRefreshParams, IFlowNode>(
|
||||
"/api/v2/serve/awel/nodes/refresh",
|
||||
data
|
||||
);
|
||||
};
|
||||
|
||||
export const debugFlow = (data: any) => {
|
||||
return POST<any, IFlowNode>('/api/v2/serve/awel/flow/debug', data);
|
||||
return POST<any, IFlowNode>("/api/v2/serve/awel/flow/debug", data);
|
||||
};
|
||||
|
||||
export const exportFlow = (data: IFlowExportParams) => {
|
||||
return GET<IFlowExportParams, any>(`/api/v2/serve/awel/flow/export/${data.uid}`, data);
|
||||
return GET<IFlowExportParams, any>(
|
||||
`/api/v2/serve/awel/flow/export/${data.uid}`,
|
||||
data
|
||||
);
|
||||
};
|
||||
|
||||
export const importFlow = (data: IFlowImportParams) => {
|
||||
return POST<IFlowImportParams, any>('/api/v2/serve/awel/flow/import', data);
|
||||
return POST<IFlowImportParams, any>("/api/v2/serve/awel/flow/import", data);
|
||||
};
|
||||
|
||||
export const uploadFile = (data: IUploadFileRequestParams) => {
|
||||
return POST<IUploadFileRequestParams, Array<IUploadFileResponse>>('/api/v2/serve/file/files/dbgpt', data);
|
||||
return POST<IUploadFileRequestParams, Array<IUploadFileResponse>>(
|
||||
"/api/v2/serve/file/files/dbgpt",
|
||||
data
|
||||
);
|
||||
};
|
||||
|
||||
export const downloadFile = (fileId: string) => {
|
||||
@@ -337,7 +444,7 @@ export const downloadFile = (fileId: string) => {
|
||||
|
||||
// TODO:wait for interface update
|
||||
export const getFlowTemplateList = () => {
|
||||
return GET<null, Array<any>>('/api/v2/serve/awel/flow/templates');
|
||||
return GET<null, Array<any>>("/api/v2/serve/awel/flow/templates");
|
||||
};
|
||||
|
||||
export const getFlowTemplateById = (id: string) => {
|
||||
@@ -347,48 +454,52 @@ export const getFlowTemplateById = (id: string) => {
|
||||
/** app */
|
||||
|
||||
export const collectApp = (data: Record<string, string>) => {
|
||||
return POST<Record<string, string>, []>('/api/v1/app/collect', data);
|
||||
return POST<Record<string, string>, []>("/api/v1/app/collect", data);
|
||||
};
|
||||
|
||||
export const unCollectApp = (data: Record<string, string>) => {
|
||||
return POST<Record<string, string>, []>('/api/v1/app/uncollect', data);
|
||||
return POST<Record<string, string>, []>("/api/v1/app/uncollect", data);
|
||||
};
|
||||
|
||||
export const getResourceType = () => {
|
||||
return GET<null, string[]>('/api/v1/resource-type/list');
|
||||
return GET<null, string[]>("/api/v1/resource-type/list");
|
||||
};
|
||||
|
||||
export const publishApp = (app_code: string) => {
|
||||
return POST<Record<string, any>, []>('/api/v1/app/publish', { app_code });
|
||||
return POST<Record<string, any>, []>("/api/v1/app/publish", { app_code });
|
||||
};
|
||||
|
||||
export const unPublishApp = (app_code: string) => {
|
||||
return POST<Record<string, any>, []>('/api/v1/app/unpublish', { app_code });
|
||||
return POST<Record<string, any>, []>("/api/v1/app/unpublish", { app_code });
|
||||
};
|
||||
export const addOmcDB = (params: Record<string, string>) => {
|
||||
return POST<Record<string, any>, []>('/api/v1/chat/db/add', params);
|
||||
return POST<Record<string, any>, []>("/api/v1/chat/db/add", params);
|
||||
};
|
||||
|
||||
export const getAppInfo = (data: GetAppInfoParams) => {
|
||||
return GET<GetAppInfoParams, IApp>('/api/v1/app/info', data);
|
||||
return GET<GetAppInfoParams, IApp>("/api/v1/app/info", data);
|
||||
};
|
||||
|
||||
export const getSupportDBList = (db_name = '') => {
|
||||
return GET<null, Record<string, any>>(`/api/v1/permission/db/list?db_name=${db_name}`);
|
||||
export const getSupportDBList = (db_name = "") => {
|
||||
return GET<null, Record<string, any>>(
|
||||
`/api/v1/permission/db/list?db_name=${db_name}`
|
||||
);
|
||||
};
|
||||
|
||||
export const recommendApps = (data: Record<string, string>) => {
|
||||
return POST<Record<string, string>, []>('/api/v1/app/hot/list', data);
|
||||
return POST<Record<string, string>, []>("/api/v1/app/hot/list", data);
|
||||
};
|
||||
export const flowSearch = (data: Record<string, string>) => {
|
||||
return POST<Record<string, string>, []>('/api/v1/serve/awel/flows', data);
|
||||
return POST<Record<string, string>, []>("/api/v1/serve/awel/flows", data);
|
||||
};
|
||||
export const modelSearch = (data: Record<string, string>) => {
|
||||
return POST<Record<string, string>, []>('/api/controller/models', data);
|
||||
return POST<Record<string, string>, []>("/api/controller/models", data);
|
||||
};
|
||||
|
||||
export const getKnowledgeAdmins = (spaceId: string) => {
|
||||
return GET<string, Record<string, any>>(`/knowledge/users/list?space_id=${spaceId}`);
|
||||
return GET<string, Record<string, any>>(
|
||||
`/knowledge/users/list?space_id=${spaceId}`
|
||||
);
|
||||
};
|
||||
export const updateKnowledgeAdmins = (data: Record<string, string>) => {
|
||||
return POST<Record<string, any>, any[]>(`/knowledge/users/update`, data);
|
||||
@@ -398,7 +509,7 @@ export const updateKnowledgeAdmins = (data: Record<string, string>) => {
|
||||
|
||||
/** app */
|
||||
export const delApp = (data: Record<string, string>) => {
|
||||
return POST<Record<string, string>, []>('/api/v1/app/remove', data);
|
||||
return POST<Record<string, string>, []>("/api/v1/app/remove", data);
|
||||
};
|
||||
|
||||
export const getSpaceConfig = () => {
|
||||
|
@@ -1,8 +1,8 @@
|
||||
import { Modal, Form, Input, Button, Space, Radio, message } from 'antd';
|
||||
import { IFlowData, IFlowUpdateParam } from '@/types/flow';
|
||||
import { apiInterceptors, exportFlow } from '@/client/api';
|
||||
import { ReactFlowInstance } from 'reactflow';
|
||||
import { useTranslation } from 'react-i18next';
|
||||
import { Modal, Form, Input, Button, Space, Radio, message } from "antd";
|
||||
import { IFlowData, IFlowUpdateParam } from "@/types/flow";
|
||||
import { apiInterceptors, exportFlow } from "@/client/api";
|
||||
import { ReactFlowInstance } from "reactflow";
|
||||
import { useTranslation } from "react-i18next";
|
||||
|
||||
type Props = {
|
||||
reactFlow: ReactFlowInstance<any, any>;
|
||||
@@ -11,24 +11,31 @@ type Props = {
|
||||
setIsExportFlowModalOpen: (value: boolean) => void;
|
||||
};
|
||||
|
||||
export const ExportFlowModal: React.FC<Props> = ({ reactFlow, flowInfo, isExportFlowModalOpen, setIsExportFlowModalOpen }) => {
|
||||
export const ExportFlowModal: React.FC<Props> = ({
|
||||
reactFlow,
|
||||
flowInfo,
|
||||
isExportFlowModalOpen,
|
||||
setIsExportFlowModalOpen,
|
||||
}) => {
|
||||
const { t } = useTranslation();
|
||||
const [form] = Form.useForm();
|
||||
const [messageApi, contextHolder] = message.useMessage();
|
||||
|
||||
const onFlowExport = async (values: any) => {
|
||||
const flowData = reactFlow.toObject() as IFlowData;
|
||||
const blob = new Blob([JSON.stringify(flowData)], { type: 'text/plain;charset=utf-8' });
|
||||
const blob = new Blob([JSON.stringify(flowData)], {
|
||||
type: "text/plain;charset=utf-8",
|
||||
});
|
||||
const url = URL.createObjectURL(blob);
|
||||
const a = document.createElement('a');
|
||||
const a = document.createElement("a");
|
||||
a.href = url;
|
||||
a.download = values.file_name || 'flow.json';
|
||||
a.download = values.file_name || "flow.json";
|
||||
a.click();
|
||||
|
||||
const [, , res] = await apiInterceptors(exportFlow(values));
|
||||
|
||||
if (res?.success) {
|
||||
messageApi.success(t('export_flow_success'));
|
||||
messageApi.success(t("Export_Flow_Success"));
|
||||
} else if (res?.err_msg) {
|
||||
messageApi.error(res?.err_msg);
|
||||
}
|
||||
@@ -38,20 +45,29 @@ export const ExportFlowModal: React.FC<Props> = ({ reactFlow, flowInfo, isExport
|
||||
|
||||
return (
|
||||
<>
|
||||
<Modal title="Export Flow" open={isExportFlowModalOpen} onCancel={() => setIsExportFlowModalOpen(false)} footer={null}>
|
||||
<Modal
|
||||
title="Export Flow"
|
||||
open={isExportFlowModalOpen}
|
||||
onCancel={() => setIsExportFlowModalOpen(false)}
|
||||
footer={null}
|
||||
>
|
||||
<Form
|
||||
form={form}
|
||||
labelCol={{ span: 6 }}
|
||||
wrapperCol={{ span: 16 }}
|
||||
initialValues={{
|
||||
export_type: 'json',
|
||||
format: 'file',
|
||||
file_name: 'flow.json',
|
||||
export_type: "json",
|
||||
format: "file",
|
||||
file_name: "flow.json",
|
||||
uid: flowInfo?.uid,
|
||||
}}
|
||||
onFinish={onFlowExport}
|
||||
>
|
||||
<Form.Item label="File Name" name="file_name" rules={[{ required: true, message: 'Please input file name!' }]}>
|
||||
<Form.Item
|
||||
label="File Name"
|
||||
name="file_name"
|
||||
rules={[{ required: true, message: "Please input file name!" }]}
|
||||
>
|
||||
<Input placeholder="file.json" />
|
||||
</Form.Item>
|
||||
|
||||
@@ -75,7 +91,9 @@ export const ExportFlowModal: React.FC<Props> = ({ reactFlow, flowInfo, isExport
|
||||
|
||||
<Form.Item wrapperCol={{ offset: 14, span: 8 }}>
|
||||
<Space>
|
||||
<Button onClick={() => setIsExportFlowModalOpen(false)}>Cancel</Button>
|
||||
<Button onClick={() => setIsExportFlowModalOpen(false)}>
|
||||
Cancel
|
||||
</Button>
|
||||
<Button type="primary" htmlType="submit">
|
||||
Export
|
||||
</Button>
|
||||
|
@@ -1,17 +1,24 @@
|
||||
import { Modal, Form, Button, Space, message, Checkbox, Upload } from 'antd';
|
||||
import { apiInterceptors, importFlow } from '@/client/api';
|
||||
import { Node, Edge } from 'reactflow';
|
||||
import { UploadOutlined } from '@mui/icons-material';
|
||||
import { t } from 'i18next';
|
||||
import { Modal, Form, Button, Space, message, Checkbox, Upload } from "antd";
|
||||
import { apiInterceptors, importFlow } from "@/client/api";
|
||||
import { Node, Edge } from "reactflow";
|
||||
import { UploadOutlined } from "@mui/icons-material";
|
||||
import { t } from "i18next";
|
||||
|
||||
type Props = {
|
||||
isImportModalOpen: boolean;
|
||||
setNodes: React.Dispatch<React.SetStateAction<Node<any, string | undefined>[]>>;
|
||||
setNodes: React.Dispatch<
|
||||
React.SetStateAction<Node<any, string | undefined>[]>
|
||||
>;
|
||||
setEdges: React.Dispatch<React.SetStateAction<Edge<any>[]>>;
|
||||
setIsImportFlowModalOpen: (value: boolean) => void;
|
||||
};
|
||||
|
||||
export const ImportFlowModal: React.FC<Props> = ({ setNodes, setEdges, isImportModalOpen, setIsImportFlowModalOpen }) => {
|
||||
export const ImportFlowModal: React.FC<Props> = ({
|
||||
setNodes,
|
||||
setEdges,
|
||||
isImportModalOpen,
|
||||
setIsImportFlowModalOpen,
|
||||
}) => {
|
||||
const [form] = Form.useForm();
|
||||
const [messageApi, contextHolder] = message.useMessage();
|
||||
|
||||
@@ -37,7 +44,7 @@ export const ImportFlowModal: React.FC<Props> = ({ setNodes, setEdges, isImportM
|
||||
const [, , res] = await apiInterceptors(importFlow(values));
|
||||
|
||||
if (res?.success) {
|
||||
messageApi.success(t('export_flow_success'));
|
||||
messageApi.success(t("Export_Flow_Success"));
|
||||
} else if (res?.err_msg) {
|
||||
messageApi.error(res?.err_msg);
|
||||
}
|
||||
@@ -47,14 +54,24 @@ export const ImportFlowModal: React.FC<Props> = ({ setNodes, setEdges, isImportM
|
||||
|
||||
return (
|
||||
<>
|
||||
<Modal title="Import Flow" open={isImportModalOpen} onCancel={() => setIsImportFlowModalOpen(false)} footer={null}>
|
||||
<Form form={form} labelCol={{ span: 6 }} wrapperCol={{ span: 16 }} onFinish={onFlowImport}>
|
||||
<Modal
|
||||
title="Import Flow"
|
||||
open={isImportModalOpen}
|
||||
onCancel={() => setIsImportFlowModalOpen(false)}
|
||||
footer={null}
|
||||
>
|
||||
<Form
|
||||
form={form}
|
||||
labelCol={{ span: 6 }}
|
||||
wrapperCol={{ span: 16 }}
|
||||
onFinish={onFlowImport}
|
||||
>
|
||||
<Form.Item
|
||||
name="file"
|
||||
label="File"
|
||||
valuePropName="fileList"
|
||||
getValueFromEvent={(e) => (Array.isArray(e) ? e : e && e.fileList)}
|
||||
rules={[{ required: true, message: 'Please upload a file' }]}
|
||||
rules={[{ required: true, message: "Please upload a file" }]}
|
||||
>
|
||||
<Upload accept=".json,.zip" beforeUpload={() => false} maxCount={1}>
|
||||
<Button icon={<UploadOutlined />}>Click to Upload</Button>
|
||||
@@ -67,7 +84,9 @@ export const ImportFlowModal: React.FC<Props> = ({ setNodes, setEdges, isImportM
|
||||
|
||||
<Form.Item wrapperCol={{ offset: 14, span: 8 }}>
|
||||
<Space>
|
||||
<Button onClick={() => setIsImportFlowModalOpen(false)}>Cancel</Button>
|
||||
<Button onClick={() => setIsImportFlowModalOpen(false)}>
|
||||
Cancel
|
||||
</Button>
|
||||
<Button type="primary" htmlType="submit">
|
||||
Import
|
||||
</Button>
|
||||
|
@@ -1,316 +1,325 @@
|
||||
export const CommonEn = {
|
||||
Knowledge_Space: 'Knowledge',
|
||||
space: 'space',
|
||||
Vector: 'Vector',
|
||||
Owner: 'Owner',
|
||||
Count: 'Count',
|
||||
File_type_Invalid: 'The file type is invalid',
|
||||
Knowledge_Space_Config: 'Space Config',
|
||||
Choose_a_Datasource_type: 'Datasource type',
|
||||
Segmentation: 'Segmentation',
|
||||
Knowledge_Space: "Knowledge",
|
||||
space: "space",
|
||||
Vector: "Vector",
|
||||
Owner: "Owner",
|
||||
Count: "Count",
|
||||
File_type_Invalid: "The file type is invalid",
|
||||
Knowledge_Space_Config: "Space Config",
|
||||
Choose_a_Datasource_type: "Datasource type",
|
||||
Segmentation: "Segmentation",
|
||||
No_parameter: `No segementation parameter required.`,
|
||||
Knowledge_Space_Name: 'Knowledge Space Name',
|
||||
Please_input_the_name: 'Please input the name',
|
||||
Please_input_the_owner: 'Please input the owner',
|
||||
Please_select_file: 'Please select one file',
|
||||
Description: 'Description',
|
||||
Storage: 'Storage',
|
||||
Please_input_the_description: 'Please input the description',
|
||||
Please_select_the_storage:'Please select the storage',
|
||||
Please_select_the_domain_type: 'Please select the domain type',
|
||||
Next: 'Next',
|
||||
the_name_can_only_contain: 'the name can only contain numbers, letters, Chinese characters, "-" and "_"',
|
||||
Text: 'Text',
|
||||
'Fill your raw text': 'Fill your raw text',
|
||||
URL: 'URL',
|
||||
Fetch_the_content_of_a_URL: 'Fetch the content of a URL',
|
||||
Document: 'Document',
|
||||
Upload_a_document: 'Upload a document, document type can be PDF, CSV, Text, PowerPoint, Word, Markdown, Zip',
|
||||
Name: 'Name',
|
||||
Text_Source: 'Text Source(Optional)',
|
||||
Please_input_the_text_source: 'Please input the text source',
|
||||
Sync: 'Sync',
|
||||
Back: 'Back',
|
||||
Finish: 'Finish',
|
||||
Web_Page_URL: 'Web Page URL',
|
||||
Please_input_the_Web_Page_URL: 'Please input the Web Page URL',
|
||||
Select_or_Drop_file: 'Select or Drop file',
|
||||
Documents: 'Documents',
|
||||
Chat: 'Chat',
|
||||
Add_Datasource: 'Add Datasource',
|
||||
View_Graph: 'View Graph',
|
||||
Arguments: 'Arguments',
|
||||
Type: 'Type',
|
||||
Size: 'Size',
|
||||
Last_Sync: 'Last Sync',
|
||||
Status: 'Status',
|
||||
Result: 'Result',
|
||||
Details: 'Details',
|
||||
Delete: 'Delete',
|
||||
Operation: 'Operation',
|
||||
Submit: 'Submit',
|
||||
Chunks: 'Chunks',
|
||||
Content: 'Content',
|
||||
Meta_Data: 'Meta Data',
|
||||
Please_select_a_file: 'Please select a file',
|
||||
Please_input_the_text: 'Please input the text',
|
||||
Embedding: 'Embedding',
|
||||
topk: 'topk',
|
||||
the_top_k_vectors: 'the top k vectors based on similarity score',
|
||||
recall_score: 'recall_score',
|
||||
Set_a_threshold_score: 'Set a threshold score for the retrieval of similar vectors',
|
||||
recall_type: 'recall_type',
|
||||
model: 'model',
|
||||
A_model_used: 'A model used to create vector representations of text or other data',
|
||||
Automatic: 'Automatic',
|
||||
Process: 'Process',
|
||||
Automatic_desc: 'Automatically set segmentation and preprocessing rules.',
|
||||
chunk_size: 'chunk_size',
|
||||
The_size_of_the_data_chunks: 'The size of the data chunks used in processing',
|
||||
chunk_overlap: 'chunk_overlap',
|
||||
The_amount_of_overlap: 'The amount of overlap between adjacent data chunks',
|
||||
Prompt: 'Prompt',
|
||||
scene: 'scene',
|
||||
A_contextual_parameter: 'A contextual parameter used to define the setting or environment in which the prompt is being used',
|
||||
template: 'template',
|
||||
Knowledge_Space_Name: "Knowledge Space Name",
|
||||
Please_input_the_name: "Please input the name",
|
||||
Please_input_the_owner: "Please input the owner",
|
||||
Please_select_file: "Please select one file",
|
||||
Description: "Description",
|
||||
Storage: "Storage",
|
||||
Domain: "Domain",
|
||||
Please_input_the_description: "Please input the description",
|
||||
Please_select_the_storage: "Please select the storage",
|
||||
Please_select_the_domain_type: "Please select the domain type",
|
||||
Next: "Next",
|
||||
the_name_can_only_contain:
|
||||
'the name can only contain numbers, letters, Chinese characters, "-" and "_"',
|
||||
Text: "Text",
|
||||
"Fill your raw text": "Fill your raw text",
|
||||
URL: "URL",
|
||||
Fetch_the_content_of_a_URL: "Fetch the content of a URL",
|
||||
Document: "Document",
|
||||
Upload_a_document:
|
||||
"Upload a document, document type can be PDF, CSV, Text, PowerPoint, Word, Markdown, Zip",
|
||||
Name: "Name",
|
||||
Text_Source: "Text Source(Optional)",
|
||||
Please_input_the_text_source: "Please input the text source",
|
||||
Sync: "Sync",
|
||||
Back: "Back",
|
||||
Finish: "Finish",
|
||||
Web_Page_URL: "Web Page URL",
|
||||
Please_input_the_Web_Page_URL: "Please input the Web Page URL",
|
||||
Select_or_Drop_file: "Select or Drop file",
|
||||
Documents: "Documents",
|
||||
Chat: "Chat",
|
||||
Add_Datasource: "Add Datasource",
|
||||
View_Graph: "View Graph",
|
||||
Arguments: "Arguments",
|
||||
Type: "Type",
|
||||
Size: "Size",
|
||||
Last_Sync: "Last Sync",
|
||||
Status: "Status",
|
||||
Result: "Result",
|
||||
Details: "Details",
|
||||
Delete: "Delete",
|
||||
Operation: "Operation",
|
||||
Submit: "Submit",
|
||||
Chunks: "Chunks",
|
||||
Content: "Content",
|
||||
Meta_Data: "Meta Data",
|
||||
Please_select_a_file: "Please select a file",
|
||||
Please_input_the_text: "Please input the text",
|
||||
Embedding: "Embedding",
|
||||
topk: "topk",
|
||||
the_top_k_vectors: "the top k vectors based on similarity score",
|
||||
recall_score: "recall_score",
|
||||
Set_a_threshold_score:
|
||||
"Set a threshold score for the retrieval of similar vectors",
|
||||
recall_type: "recall_type",
|
||||
model: "model",
|
||||
A_model_used:
|
||||
"A model used to create vector representations of text or other data",
|
||||
Automatic: "Automatic",
|
||||
Process: "Process",
|
||||
Automatic_desc: "Automatically set segmentation and preprocessing rules.",
|
||||
chunk_size: "chunk_size",
|
||||
The_size_of_the_data_chunks: "The size of the data chunks used in processing",
|
||||
chunk_overlap: "chunk_overlap",
|
||||
The_amount_of_overlap: "The amount of overlap between adjacent data chunks",
|
||||
Prompt: "Prompt",
|
||||
scene: "scene",
|
||||
A_contextual_parameter:
|
||||
"A contextual parameter used to define the setting or environment in which the prompt is being used",
|
||||
template: "template",
|
||||
structure_or_format:
|
||||
'A pre-defined structure or format for the prompt, which can help ensure that the AI system generates responses that are consistent with the desired style or tone.',
|
||||
max_token: 'max_token',
|
||||
max_iteration: 'max_iteration',
|
||||
concurrency_limit: 'concurrency_limit',
|
||||
The_maximum_number_of_tokens: 'The maximum number of tokens or words allowed in a prompt',
|
||||
Theme: 'Theme',
|
||||
Port: 'Port',
|
||||
Username: 'Username',
|
||||
Password: 'Password',
|
||||
Remark: 'Remark',
|
||||
Edit: 'Edit',
|
||||
Database: 'Database',
|
||||
Data_Source: 'Data Center',
|
||||
Close_Sidebar: 'Fold',
|
||||
Show_Sidebar: 'UnFold',
|
||||
language: 'Language',
|
||||
choose_model: 'Please choose a model',
|
||||
data_center_desc: 'DB-GPT also offers a user-friendly data center management interface for efficient data maintenance.',
|
||||
create_database: 'Create Database',
|
||||
create_knowledge: 'Create Knowledge',
|
||||
path: 'Path',
|
||||
model_manage: 'Models',
|
||||
stop_model_success: 'Stop model success',
|
||||
create_model: 'Create Model',
|
||||
model_select_tips: 'Please select a model',
|
||||
language_select_tips: 'Please select a language',
|
||||
submit: 'Submit',
|
||||
close: 'Close',
|
||||
start_model_success: 'Start model success',
|
||||
download_model_tip: 'Please download model first.',
|
||||
Plugins: 'Plugins',
|
||||
try_again: 'Try again',
|
||||
no_data: 'No data',
|
||||
Open_Sidebar: 'Unfold',
|
||||
verify: 'Verify',
|
||||
cancel: 'Cancel',
|
||||
Edit_Success: 'Edit Success',
|
||||
Add: 'Add',
|
||||
Add_Success: 'Add Success',
|
||||
Error_Message: 'Something Error',
|
||||
Please_Input: 'Please Input',
|
||||
Prompt_Info_Scene: 'Scene',
|
||||
Prompt_Info_Sub_Scene: 'Sub Scene',
|
||||
Prompt_Info_Name: 'Name',
|
||||
Prompt_Info_Content: 'Content',
|
||||
Public: 'Public',
|
||||
Private: 'Private',
|
||||
Lowest: 'Lowest',
|
||||
Missed: 'Missed',
|
||||
Lost: 'Lost',
|
||||
Incorrect: 'Incorrect',
|
||||
Verbose: 'Verbose',
|
||||
Best: 'Best',
|
||||
Rating: 'Rating',
|
||||
Q_A_Category: 'Q&A Category',
|
||||
Q_A_Rating: 'Q&A Rating',
|
||||
"A pre-defined structure or format for the prompt, which can help ensure that the AI system generates responses that are consistent with the desired style or tone.",
|
||||
max_token: "max_token",
|
||||
max_iteration: "max_iteration",
|
||||
concurrency_limit: "concurrency_limit",
|
||||
The_maximum_number_of_tokens:
|
||||
"The maximum number of tokens or words allowed in a prompt",
|
||||
Theme: "Theme",
|
||||
Port: "Port",
|
||||
Username: "Username",
|
||||
Password: "Password",
|
||||
Remark: "Remark",
|
||||
Edit: "Edit",
|
||||
Database: "Database",
|
||||
Data_Source: "Data Center",
|
||||
Close_Sidebar: "Fold",
|
||||
Show_Sidebar: "UnFold",
|
||||
language: "Language",
|
||||
choose_model: "Please choose a model",
|
||||
data_center_desc:
|
||||
"DB-GPT also offers a user-friendly data center management interface for efficient data maintenance.",
|
||||
create_database: "Create Database",
|
||||
create_knowledge: "Create Knowledge",
|
||||
path: "Path",
|
||||
model_manage: "Models",
|
||||
stop_model_success: "Stop model success",
|
||||
create_model: "Create Model",
|
||||
model_select_tips: "Please select a model",
|
||||
language_select_tips: "Please select a language",
|
||||
submit: "Submit",
|
||||
close: "Close",
|
||||
start_model_success: "Start model success",
|
||||
download_model_tip: "Please download model first.",
|
||||
Plugins: "Plugins",
|
||||
try_again: "Try again",
|
||||
no_data: "No data",
|
||||
Open_Sidebar: "Unfold",
|
||||
verify: "Verify",
|
||||
cancel: "Cancel",
|
||||
Edit_Success: "Edit Success",
|
||||
Add: "Add",
|
||||
Add_Success: "Add Success",
|
||||
Error_Message: "Something Error",
|
||||
Please_Input: "Please Input",
|
||||
Prompt_Info_Scene: "Scene",
|
||||
Prompt_Info_Sub_Scene: "Sub Scene",
|
||||
Prompt_Info_Name: "Name",
|
||||
Prompt_Info_Content: "Content",
|
||||
Public: "Public",
|
||||
Private: "Private",
|
||||
Lowest: "Lowest",
|
||||
Missed: "Missed",
|
||||
Lost: "Lost",
|
||||
Incorrect: "Incorrect",
|
||||
Verbose: "Verbose",
|
||||
Best: "Best",
|
||||
Rating: "Rating",
|
||||
Q_A_Category: "Q&A Category",
|
||||
Q_A_Rating: "Q&A Rating",
|
||||
feed_back_desc:
|
||||
'0: No results\n' +
|
||||
'1: Results exist, but they are irrelevant, the question is not understood\n' +
|
||||
'2: Results exist, the question is understood, but it indicates that the question cannot be answered\n' +
|
||||
'3: Results exist, the question is understood, and an answer is given, but the answer is incorrect\n' +
|
||||
'4: Results exist, the question is understood, the answer is correct, but it is verbose and lacks a summary\n' +
|
||||
'5: Results exist, the question is understood, the answer is correct, the reasoning is correct, and a summary is provided, concise and to the point\n',
|
||||
input_count: 'Total input',
|
||||
input_unit: 'characters',
|
||||
Click_Select: 'Click&Select',
|
||||
Quick_Start: 'Quick Start',
|
||||
Select_Plugins: 'Select Plugins',
|
||||
Search: 'Search',
|
||||
Update_From_Github: 'Upload From Github',
|
||||
Reset: 'Reset',
|
||||
Upload: 'Upload',
|
||||
Market_Plugins: 'Market Plugin',
|
||||
My_Plugins: 'My Plugins',
|
||||
Del_Knowledge_Tips: 'Do you want delete the Space',
|
||||
Del_Document_Tips: 'Do you want delete the Document',
|
||||
Tips: 'Tips',
|
||||
Limit_Upload_File_Count_Tips: 'Only one file can be uploaded at a time',
|
||||
To_Plugin_Market: 'Go to the Plugin Market',
|
||||
Summary: 'Summary',
|
||||
stacked_column_chart: 'Stacked Column',
|
||||
column_chart: 'Column',
|
||||
percent_stacked_column_chart: 'Percent Stacked Column',
|
||||
grouped_column_chart: 'Grouped Column',
|
||||
time_column: 'Time Column',
|
||||
pie_chart: 'Pie',
|
||||
line_chart: 'Line',
|
||||
area_chart: 'Area',
|
||||
stacked_area_chart: 'Stacked Area',
|
||||
scatter_plot: 'Scatter',
|
||||
bubble_chart: 'Bubble',
|
||||
stacked_bar_chart: 'Stacked Bar',
|
||||
bar_chart: 'Bar',
|
||||
percent_stacked_bar_chart: 'Percent Stacked Bar',
|
||||
grouped_bar_chart: 'Grouped Bar',
|
||||
water_fall_chart: 'Waterfall',
|
||||
table: 'Table',
|
||||
multi_line_chart: 'Multi Line',
|
||||
multi_measure_column_chart: 'Multi Measure Column',
|
||||
multi_measure_line_chart: 'Multi Measure Line',
|
||||
Advices: 'Advices',
|
||||
Retry: 'Retry',
|
||||
Load_more: 'load more',
|
||||
new_chat: 'New Chat',
|
||||
choice_agent_tip: 'Please choose an agent',
|
||||
no_context_tip: 'Please enter your question',
|
||||
Terminal: 'Terminal',
|
||||
used_apps: 'Used Apps',
|
||||
"0: No results\n" +
|
||||
"1: Results exist, but they are irrelevant, the question is not understood\n" +
|
||||
"2: Results exist, the question is understood, but it indicates that the question cannot be answered\n" +
|
||||
"3: Results exist, the question is understood, and an answer is given, but the answer is incorrect\n" +
|
||||
"4: Results exist, the question is understood, the answer is correct, but it is verbose and lacks a summary\n" +
|
||||
"5: Results exist, the question is understood, the answer is correct, the reasoning is correct, and a summary is provided, concise and to the point\n",
|
||||
input_count: "Total input",
|
||||
input_unit: "characters",
|
||||
Click_Select: "Click&Select",
|
||||
Quick_Start: "Quick Start",
|
||||
Select_Plugins: "Select Plugins",
|
||||
Search: "Search",
|
||||
Update_From_Github: "Upload From Github",
|
||||
Reset: "Reset",
|
||||
Upload: "Upload",
|
||||
Market_Plugins: "Market Plugin",
|
||||
My_Plugins: "My Plugins",
|
||||
Del_Knowledge_Tips: "Do you want delete the Space",
|
||||
Del_Document_Tips: "Do you want delete the Document",
|
||||
Tips: "Tips",
|
||||
Limit_Upload_File_Count_Tips: "Only one file can be uploaded at a time",
|
||||
To_Plugin_Market: "Go to the Plugin Market",
|
||||
Summary: "Summary",
|
||||
stacked_column_chart: "Stacked Column",
|
||||
column_chart: "Column",
|
||||
percent_stacked_column_chart: "Percent Stacked Column",
|
||||
grouped_column_chart: "Grouped Column",
|
||||
time_column: "Time Column",
|
||||
pie_chart: "Pie",
|
||||
line_chart: "Line",
|
||||
area_chart: "Area",
|
||||
stacked_area_chart: "Stacked Area",
|
||||
scatter_plot: "Scatter",
|
||||
bubble_chart: "Bubble",
|
||||
stacked_bar_chart: "Stacked Bar",
|
||||
bar_chart: "Bar",
|
||||
percent_stacked_bar_chart: "Percent Stacked Bar",
|
||||
grouped_bar_chart: "Grouped Bar",
|
||||
water_fall_chart: "Waterfall",
|
||||
table: "Table",
|
||||
multi_line_chart: "Multi Line",
|
||||
multi_measure_column_chart: "Multi Measure Column",
|
||||
multi_measure_line_chart: "Multi Measure Line",
|
||||
Advices: "Advices",
|
||||
Retry: "Retry",
|
||||
Load_more: "load more",
|
||||
new_chat: "New Chat",
|
||||
choice_agent_tip: "Please choose an agent",
|
||||
no_context_tip: "Please enter your question",
|
||||
Terminal: "Terminal",
|
||||
used_apps: "Used Apps",
|
||||
app_in_mind: "Don't have an app in mind? to",
|
||||
explore: 'Explore',
|
||||
Discover_more: 'Discove more',
|
||||
sdk_insert: 'SDK Insert',
|
||||
my_apps: 'My Apps',
|
||||
awel_flow: 'AWEL Flow',
|
||||
save: 'Save',
|
||||
add_node: 'Add Node',
|
||||
no_node: 'No Node',
|
||||
connect_warning: 'Nodes cannot be connected',
|
||||
flow_modal_title: 'Save Flow',
|
||||
flow_name: 'Flow Name',
|
||||
flow_description: 'Flow Description',
|
||||
flow_name_required: 'Please enter the flow name',
|
||||
flow_description_required: 'Please enter the flow description',
|
||||
save_flow_success: 'Save flow success',
|
||||
delete_flow_confirm: 'Are you sure you want to delete this flow?',
|
||||
related_nodes: 'Related Nodes',
|
||||
add_resource: 'Add Resource',
|
||||
team_modal: 'Work Modal',
|
||||
App: 'App',
|
||||
resource_name: 'Resource Name',
|
||||
resource_type: 'Resource Type',
|
||||
resource_value: 'Value',
|
||||
resource_dynamic: 'Dynamic',
|
||||
Please_input_the_work_modal: 'Please select the work modal',
|
||||
available_resources: ' Available Resources',
|
||||
edit_new_applications: 'Edit new applications',
|
||||
collect: 'Collect',
|
||||
collected: 'Collected',
|
||||
create: 'Create',
|
||||
Agents: 'Agents',
|
||||
edit_application: 'edit application',
|
||||
add_application: 'add application',
|
||||
app_name: 'App Name',
|
||||
input_app_name: 'Please enter the application name',
|
||||
LLM_strategy: 'LLM Strategy',
|
||||
LLM_strategy_value: 'LLM Strategy Value',
|
||||
please_select_LLM_strategy: 'Please select LLM strategy',
|
||||
please_select_LLM_strategy_value: 'Please select LLM strategy value',
|
||||
resource: 'Resource',
|
||||
operators: 'Operators',
|
||||
Chinese: 'Chinese',
|
||||
English: 'English',
|
||||
docs: 'Docs',
|
||||
apps: 'All Apps',
|
||||
please_enter_the_keywords: 'Please enter the keywords',
|
||||
input_tip: 'Please select the model and enter the description to start quickly',
|
||||
create_app: 'Create App',
|
||||
copy_url: 'Click the Copy Share link',
|
||||
double_click_open: 'Double click on Nail nail to open',
|
||||
construct: ' Construct App',
|
||||
chat_online: 'Chat',
|
||||
recommend_apps: 'Recommend',
|
||||
all_apps: 'All',
|
||||
latest_apps: 'Latest',
|
||||
my_collected_apps: 'Collected',
|
||||
collect_success: 'Collect success',
|
||||
cancel_success: 'Cancel success',
|
||||
published: 'Published',
|
||||
unpublished: 'Unpublished',
|
||||
start_chat: 'Chat',
|
||||
native_app: 'Native app',
|
||||
temperature: 'Temperature',
|
||||
create_flow: 'Create flow',
|
||||
update: 'Update',
|
||||
native_type: 'App type',
|
||||
refreshSuccess: 'Refresh Success',
|
||||
Download: 'Download',
|
||||
app_type_select: 'Please select app type',
|
||||
please_select_param: 'Please select parameters',
|
||||
please_select_model: 'Please select model',
|
||||
please_input_temperature: 'Please input the temperature value',
|
||||
select_workflow: 'Select workflow',
|
||||
please_select_workflow: 'Please select workflow',
|
||||
recommended_questions: 'Recommended questions',
|
||||
question: 'Question',
|
||||
please_input_recommended_questions: 'Please input recommendation question',
|
||||
is_effective: 'Whether to enable',
|
||||
add_question: 'Add question',
|
||||
update_success: 'Update successful',
|
||||
update_failed: 'Update failed',
|
||||
please_select_prompt: 'Please select a prompt',
|
||||
details: 'Details',
|
||||
choose: 'Choose',
|
||||
please_choose: 'Please choose',
|
||||
explore: "Explore",
|
||||
Discover_more: "Discove more",
|
||||
sdk_insert: "SDK Insert",
|
||||
my_apps: "My Apps",
|
||||
awel_flow: "AWEL Flow",
|
||||
save: "Save",
|
||||
add_node: "Add Node",
|
||||
no_node: "No Node",
|
||||
connect_warning: "Nodes cannot be connected",
|
||||
flow_modal_title: "Save Flow",
|
||||
flow_name: "Flow Name",
|
||||
flow_description: "Flow Description",
|
||||
flow_name_required: "Please enter the flow name",
|
||||
flow_description_required: "Please enter the flow description",
|
||||
save_flow_success: "Save flow success",
|
||||
delete_flow_confirm: "Are you sure you want to delete this flow?",
|
||||
related_nodes: "Related Nodes",
|
||||
add_resource: "Add Resource",
|
||||
team_modal: "Work Modal",
|
||||
App: "App",
|
||||
resource_name: "Resource Name",
|
||||
resource_type: "Resource Type",
|
||||
resource_value: "Value",
|
||||
resource_dynamic: "Dynamic",
|
||||
Please_input_the_work_modal: "Please select the work modal",
|
||||
available_resources: " Available Resources",
|
||||
edit_new_applications: "Edit new applications",
|
||||
collect: "Collect",
|
||||
collected: "Collected",
|
||||
create: "Create",
|
||||
Agents: "Agents",
|
||||
edit_application: "edit application",
|
||||
add_application: "add application",
|
||||
app_name: "App Name",
|
||||
input_app_name: "Please enter the application name",
|
||||
LLM_strategy: "LLM Strategy",
|
||||
LLM_strategy_value: "LLM Strategy Value",
|
||||
please_select_LLM_strategy: "Please select LLM strategy",
|
||||
please_select_LLM_strategy_value: "Please select LLM strategy value",
|
||||
resource: "Resource",
|
||||
operators: "Operators",
|
||||
Chinese: "Chinese",
|
||||
English: "English",
|
||||
docs: "Docs",
|
||||
apps: "All Apps",
|
||||
please_enter_the_keywords: "Please enter the keywords",
|
||||
input_tip:
|
||||
"Please select the model and enter the description to start quickly",
|
||||
create_app: "Create App",
|
||||
copy_url: "Click the Copy Share link",
|
||||
double_click_open: "Double click on Nail nail to open",
|
||||
construct: " Construct App",
|
||||
chat_online: "Chat",
|
||||
recommend_apps: "Recommend",
|
||||
all_apps: "All",
|
||||
latest_apps: "Latest",
|
||||
my_collected_apps: "Collected",
|
||||
collect_success: "Collect success",
|
||||
cancel_success: "Cancel success",
|
||||
published: "Published",
|
||||
unpublished: "Unpublished",
|
||||
start_chat: "Chat",
|
||||
native_app: "Native app",
|
||||
temperature: "Temperature",
|
||||
create_flow: "Create flow",
|
||||
update: "Update",
|
||||
native_type: "App type",
|
||||
refreshSuccess: "Refresh Success",
|
||||
Download: "Download",
|
||||
app_type_select: "Please select app type",
|
||||
please_select_param: "Please select parameters",
|
||||
please_select_model: "Please select model",
|
||||
please_input_temperature: "Please input the temperature value",
|
||||
select_workflow: "Select workflow",
|
||||
please_select_workflow: "Please select workflow",
|
||||
recommended_questions: "Recommended questions",
|
||||
question: "Question",
|
||||
please_input_recommended_questions: "Please input recommendation question",
|
||||
is_effective: "Whether to enable",
|
||||
add_question: "Add question",
|
||||
update_success: "Update successful",
|
||||
update_failed: "Update failed",
|
||||
please_select_prompt: "Please select a prompt",
|
||||
details: "Details",
|
||||
choose: "Choose",
|
||||
please_choose: "Please choose",
|
||||
want_delete: "Are you sure delete it?",
|
||||
success: 'Success',
|
||||
input_parameter: 'Input parameter',
|
||||
output_structure: 'Output structure',
|
||||
User_input: 'User input',
|
||||
LLM_test: 'LLM test',
|
||||
Output_verification: 'Output verification',
|
||||
select_scene: 'Please select a scene',
|
||||
select_type: 'Please select a type',
|
||||
Please_complete_the_input_parameters: 'Please complete the input parameters',
|
||||
Please_fill_in_the_user_input: 'Please fill in the user input',
|
||||
help: 'I can help you:',
|
||||
Refresh_status: 'Refresh status',
|
||||
Recall_test: 'Recall test',
|
||||
synchronization: 'One-key synchronization',
|
||||
Synchronization_initiated: 'Synchronization has been initiated, please wait',
|
||||
Edit_document: 'Edit document',
|
||||
Document_name: 'Document name',
|
||||
Correlation_problem: 'Correlation problem',
|
||||
Add_problem: 'Add problem',
|
||||
New_knowledge_base: 'New knowledge base',
|
||||
yuque: 'yuque document',
|
||||
Get_yuque_document: 'Get the contents of the Sparrow document',
|
||||
document_url: 'Document address',
|
||||
input_document_url: 'Please enter the document address',
|
||||
Get_token: 'Please obtain the team knowledge base token first',
|
||||
Reference_link: 'Reference link',
|
||||
document_token: 'Document token',
|
||||
input_document_token: 'Please enter document token',
|
||||
input_question: 'Please enter a question',
|
||||
detail: 'Detail',
|
||||
Manual_entry: 'Manual entry',
|
||||
Data_content: 'Data content',
|
||||
Main_content: 'Main content',
|
||||
Auxiliary_data: 'Auxiliary data',
|
||||
enter_question_first: 'Please enter the question first',
|
||||
unpublish: 'Unpublish',
|
||||
publish: 'Publish',
|
||||
Update_successfully: 'Update successfully',
|
||||
Create_successfully: 'Create successfully',
|
||||
Update_failure: 'Update failure',
|
||||
Create_failure: 'Create failure',
|
||||
View_details: 'View details',
|
||||
All: 'All',
|
||||
Please_input_prompt_name: 'Please input prompt name',
|
||||
success: "Success",
|
||||
input_parameter: "Input parameter",
|
||||
output_structure: "Output structure",
|
||||
User_input: "User input",
|
||||
LLM_test: "LLM test",
|
||||
Output_verification: "Output verification",
|
||||
select_scene: "Please select a scene",
|
||||
select_type: "Please select a type",
|
||||
Please_complete_the_input_parameters: "Please complete the input parameters",
|
||||
Please_fill_in_the_user_input: "Please fill in the user input",
|
||||
help: "I can help you:",
|
||||
Refresh_status: "Refresh status",
|
||||
Recall_test: "Recall test",
|
||||
synchronization: "One-key synchronization",
|
||||
Synchronization_initiated: "Synchronization has been initiated, please wait",
|
||||
Edit_document: "Edit document",
|
||||
Document_name: "Document name",
|
||||
Correlation_problem: "Correlation problem",
|
||||
Add_problem: "Add problem",
|
||||
New_knowledge_base: "New knowledge base",
|
||||
yuque: "yuque document",
|
||||
Get_yuque_document: "Get the contents of the Sparrow document",
|
||||
document_url: "Document address",
|
||||
input_document_url: "Please enter the document address",
|
||||
Get_token: "Please obtain the team knowledge base token first",
|
||||
Reference_link: "Reference link",
|
||||
document_token: "Document token",
|
||||
input_document_token: "Please enter document token",
|
||||
input_question: "Please enter a question",
|
||||
detail: "Detail",
|
||||
Manual_entry: "Manual entry",
|
||||
Data_content: "Data content",
|
||||
Main_content: "Main content",
|
||||
Auxiliary_data: "Auxiliary data",
|
||||
enter_question_first: "Please enter the question first",
|
||||
unpublish: "Unpublish",
|
||||
publish: "Publish",
|
||||
Update_successfully: "Update successfully",
|
||||
Create_successfully: "Create successfully",
|
||||
Update_failure: "Update failure",
|
||||
Create_failure: "Create failure",
|
||||
View_details: "View details",
|
||||
All: "All",
|
||||
Please_input_prompt_name: "Please input prompt name",
|
||||
} as const;
|
||||
|
9
web/locales/en/flow.ts
Normal file
9
web/locales/en/flow.ts
Normal file
@@ -0,0 +1,9 @@
|
||||
export const FlowEn = {
|
||||
Upload_Data_Successfully: "file uploaded successfully",
|
||||
Upload_Data_Failed: "file upload failed",
|
||||
Upload_Data: "Upload Data",
|
||||
Code_Editor: "Code Editor",
|
||||
Open_Code_Editor: "Open Code Editor",
|
||||
Export_Flow_Success: "Export flow success",
|
||||
Import_Flow_Success: "Import flow success",
|
||||
};
|
@@ -1,8 +1,10 @@
|
||||
import { ChatEn } from './chat';
|
||||
import { CommonEn } from './common';
|
||||
import { ChatEn } from "./chat";
|
||||
import { CommonEn } from "./common";
|
||||
import { FlowEn } from "./flow";
|
||||
|
||||
const en = {
|
||||
...ChatEn,
|
||||
...FlowEn,
|
||||
...CommonEn,
|
||||
};
|
||||
|
||||
|
@@ -1,4 +1,4 @@
|
||||
import { CommonEn } from '../en/common';
|
||||
import { CommonEn } from "../en/common";
|
||||
|
||||
type I18nKeys = keyof typeof CommonEn;
|
||||
|
||||
@@ -6,318 +6,322 @@ interface Resources {
|
||||
translation: Record<I18nKeys, string>;
|
||||
}
|
||||
|
||||
export const CommonZh: Resources['translation'] = {
|
||||
Knowledge_Space: '知识库',
|
||||
space: '知识库',
|
||||
Vector: '向量',
|
||||
Owner: '创建人',
|
||||
Count: '文档数',
|
||||
File_type_Invalid: '文件类型错误',
|
||||
Knowledge_Space_Config: '知识库配置',
|
||||
Choose_a_Datasource_type: '知识库类型',
|
||||
Segmentation: '分片',
|
||||
No_parameter: '不需要配置分片参数',
|
||||
Knowledge_Space_Name: '知识库名称',
|
||||
Please_input_the_name: '请输入名称',
|
||||
Please_input_the_owner: '请输入创建人',
|
||||
Please_select_file: '请至少选择一个文件',
|
||||
Description: '描述',
|
||||
Storage: '存储类型',
|
||||
Please_input_the_description: '请输入描述',
|
||||
Please_select_the_storage:'请选择存储类型',
|
||||
Please_select_the_domain_type: '请选择领域类型',
|
||||
Next: '下一步',
|
||||
the_name_can_only_contain: '名称只能包含数字、字母、中文字符、-或_',
|
||||
Text: '文本',
|
||||
'Fill your raw text': '填写您的原始文本',
|
||||
URL: '网址',
|
||||
Fetch_the_content_of_a_URL: '获取 URL 的内容',
|
||||
Document: '文档',
|
||||
Upload_a_document: '上传文档,文档类型可以是PDF、CSV、Text、PowerPoint、Word、Markdown、Zip',
|
||||
Name: '名称',
|
||||
Text_Source: '文本来源(可选)',
|
||||
Please_input_the_text_source: '请输入文本来源',
|
||||
Sync: '同步',
|
||||
Back: '上一步',
|
||||
Finish: '完成',
|
||||
Web_Page_URL: '网页网址',
|
||||
Please_input_the_Web_Page_URL: '请输入网页网址',
|
||||
Select_or_Drop_file: '选择或拖拽文件',
|
||||
Documents: '文档',
|
||||
Chat: '对话',
|
||||
Add_Datasource: '添加数据源',
|
||||
View_Graph: '查看图谱',
|
||||
Arguments: '参数',
|
||||
Type: '类型',
|
||||
Size: '切片',
|
||||
Last_Sync: '上次同步时间',
|
||||
Status: '状态',
|
||||
Result: '结果',
|
||||
Details: '明细',
|
||||
Delete: '删除',
|
||||
Operation: '操作',
|
||||
Submit: '提交',
|
||||
close: '关闭',
|
||||
Chunks: '切片',
|
||||
Content: '内容',
|
||||
Meta_Data: '元数据',
|
||||
Please_select_a_file: '请上传一个文件',
|
||||
Please_input_the_text: '请输入文本',
|
||||
Embedding: '嵌入',
|
||||
topk: 'TopK',
|
||||
the_top_k_vectors: '基于相似度得分的前 k 个向量',
|
||||
recall_score: '召回分数',
|
||||
Set_a_threshold_score: '设置相似向量检索的阈值分数',
|
||||
recall_type: '召回类型',
|
||||
model: '模型',
|
||||
A_model_used: '用于创建文本或其他数据的矢量表示的模型',
|
||||
Automatic: '自动切片',
|
||||
Process: '切片处理',
|
||||
Automatic_desc: '自动设置分割和预处理规则。',
|
||||
chunk_size: '块大小',
|
||||
The_size_of_the_data_chunks: '处理中使用的数据块的大小',
|
||||
chunk_overlap: '块重叠',
|
||||
The_amount_of_overlap: '相邻数据块之间的重叠量',
|
||||
scene: '场景',
|
||||
A_contextual_parameter: '用于定义使用提示的设置或环境的上下文参数',
|
||||
template: '模板',
|
||||
structure_or_format: '预定义的提示结构或格式,有助于确保人工智能系统生成与所需风格或语气一致的响应。',
|
||||
max_token: '最大令牌',
|
||||
max_iteration: '最大迭代',
|
||||
concurrency_limit: '并发限制',
|
||||
The_maximum_number_of_tokens: '提示中允许的最大标记或单词数',
|
||||
Theme: '主题',
|
||||
Port: '端口',
|
||||
Username: '用户名',
|
||||
Password: '密码',
|
||||
Remark: '备注',
|
||||
Edit: '编辑',
|
||||
Database: '数据库',
|
||||
Data_Source: '数据中心',
|
||||
Close_Sidebar: '收起',
|
||||
Show_Sidebar: '展开',
|
||||
language: '语言',
|
||||
choose_model: '请选择一个模型',
|
||||
data_center_desc: 'DB-GPT支持数据库交互和基于文档的对话,它还提供了一个用户友好的数据中心管理界面。',
|
||||
create_database: '创建数据库',
|
||||
create_knowledge: '创建知识库',
|
||||
create_flow: '创建工作流',
|
||||
path: '路径',
|
||||
model_manage: '模型管理',
|
||||
stop_model_success: '模型停止成功',
|
||||
create_model: '创建模型',
|
||||
model_select_tips: '请选择一个模型',
|
||||
submit: '提交',
|
||||
start_model_success: '启动模型成功',
|
||||
download_model_tip: '请先下载模型!',
|
||||
Plugins: '插件列表',
|
||||
try_again: '刷新重试',
|
||||
no_data: '暂无数据',
|
||||
Prompt: '提示词',
|
||||
Open_Sidebar: '展开',
|
||||
verify: '确认',
|
||||
cancel: '取消',
|
||||
Edit_Success: '编辑成功',
|
||||
Add: '新增',
|
||||
Add_Success: '新增成功',
|
||||
Error_Message: '出错了',
|
||||
Please_Input: '请输入',
|
||||
Prompt_Info_Scene: '场景',
|
||||
Prompt_Info_Sub_Scene: '次级场景',
|
||||
Prompt_Info_Name: '名称',
|
||||
Prompt_Info_Content: '内容',
|
||||
Public: '公共',
|
||||
Private: '私有',
|
||||
Lowest: '渣渣',
|
||||
Missed: '没理解',
|
||||
Lost: '答不了',
|
||||
Incorrect: '答错了',
|
||||
Verbose: '较啰嗦',
|
||||
Best: '真棒',
|
||||
Rating: '评分',
|
||||
Q_A_Category: '问答类别',
|
||||
Q_A_Rating: '问答评分',
|
||||
export const CommonZh: Resources["translation"] = {
|
||||
Knowledge_Space: "知识库",
|
||||
space: "知识库",
|
||||
Vector: "向量",
|
||||
Owner: "创建人",
|
||||
Count: "文档数",
|
||||
File_type_Invalid: "文件类型错误",
|
||||
Knowledge_Space_Config: "知识库配置",
|
||||
Choose_a_Datasource_type: "知识库类型",
|
||||
Segmentation: "分片",
|
||||
No_parameter: "不需要配置分片参数",
|
||||
Knowledge_Space_Name: "知识库名称",
|
||||
Please_input_the_name: "请输入名称",
|
||||
Please_input_the_owner: "请输入创建人",
|
||||
Please_select_file: "请至少选择一个文件",
|
||||
Description: "描述",
|
||||
Storage: "存储类型",
|
||||
Domain: "领域类型",
|
||||
Please_input_the_description: "请输入描述",
|
||||
Please_select_the_storage: "请选择存储类型",
|
||||
Please_select_the_domain_type: "请选择领域类型",
|
||||
Next: "下一步",
|
||||
the_name_can_only_contain: "名称只能包含数字、字母、中文字符、-或_",
|
||||
Text: "文本",
|
||||
"Fill your raw text": "填写您的原始文本",
|
||||
URL: "网址",
|
||||
Fetch_the_content_of_a_URL: "获取 URL 的内容",
|
||||
Document: "文档",
|
||||
Upload_a_document:
|
||||
"上传文档,文档类型可以是PDF、CSV、Text、PowerPoint、Word、Markdown、Zip",
|
||||
Name: "名称",
|
||||
Text_Source: "文本来源(可选)",
|
||||
Please_input_the_text_source: "请输入文本来源",
|
||||
Sync: "同步",
|
||||
Back: "上一步",
|
||||
Finish: "完成",
|
||||
Web_Page_URL: "网页网址",
|
||||
Please_input_the_Web_Page_URL: "请输入网页网址",
|
||||
Select_or_Drop_file: "选择或拖拽文件",
|
||||
Documents: "文档",
|
||||
Chat: "对话",
|
||||
Add_Datasource: "添加数据源",
|
||||
View_Graph: "查看图谱",
|
||||
Arguments: "参数",
|
||||
Type: "类型",
|
||||
Size: "切片",
|
||||
Last_Sync: "上次同步时间",
|
||||
Status: "状态",
|
||||
Result: "结果",
|
||||
Details: "明细",
|
||||
Delete: "删除",
|
||||
Operation: "操作",
|
||||
Submit: "提交",
|
||||
close: "关闭",
|
||||
Chunks: "切片",
|
||||
Content: "内容",
|
||||
Meta_Data: "元数据",
|
||||
Please_select_a_file: "请上传一个文件",
|
||||
Please_input_the_text: "请输入文本",
|
||||
Embedding: "嵌入",
|
||||
topk: "TopK",
|
||||
the_top_k_vectors: "基于相似度得分的前 k 个向量",
|
||||
recall_score: "召回分数",
|
||||
Set_a_threshold_score: "设置相似向量检索的阈值分数",
|
||||
recall_type: "召回类型",
|
||||
model: "模型",
|
||||
A_model_used: "用于创建文本或其他数据的矢量表示的模型",
|
||||
Automatic: "自动切片",
|
||||
Process: "切片处理",
|
||||
Automatic_desc: "自动设置分割和预处理规则。",
|
||||
chunk_size: "块大小",
|
||||
The_size_of_the_data_chunks: "处理中使用的数据块的大小",
|
||||
chunk_overlap: "块重叠",
|
||||
The_amount_of_overlap: "相邻数据块之间的重叠量",
|
||||
scene: "场景",
|
||||
A_contextual_parameter: "用于定义使用提示的设置或环境的上下文参数",
|
||||
template: "模板",
|
||||
structure_or_format:
|
||||
"预定义的提示结构或格式,有助于确保人工智能系统生成与所需风格或语气一致的响应。",
|
||||
max_token: "最大令牌",
|
||||
max_iteration: "最大迭代",
|
||||
concurrency_limit: "并发限制",
|
||||
The_maximum_number_of_tokens: "提示中允许的最大标记或单词数",
|
||||
Theme: "主题",
|
||||
Port: "端口",
|
||||
Username: "用户名",
|
||||
Password: "密码",
|
||||
Remark: "备注",
|
||||
Edit: "编辑",
|
||||
Database: "数据库",
|
||||
Data_Source: "数据中心",
|
||||
Close_Sidebar: "收起",
|
||||
Show_Sidebar: "展开",
|
||||
language: "语言",
|
||||
choose_model: "请选择一个模型",
|
||||
data_center_desc:
|
||||
"DB-GPT支持数据库交互和基于文档的对话,它还提供了一个用户友好的数据中心管理界面。",
|
||||
create_database: "创建数据库",
|
||||
create_knowledge: "创建知识库",
|
||||
create_flow: "创建工作流",
|
||||
path: "路径",
|
||||
model_manage: "模型管理",
|
||||
stop_model_success: "模型停止成功",
|
||||
create_model: "创建模型",
|
||||
model_select_tips: "请选择一个模型",
|
||||
submit: "提交",
|
||||
start_model_success: "启动模型成功",
|
||||
download_model_tip: "请先下载模型!",
|
||||
Plugins: "插件列表",
|
||||
try_again: "刷新重试",
|
||||
no_data: "暂无数据",
|
||||
Prompt: "提示词",
|
||||
Open_Sidebar: "展开",
|
||||
verify: "确认",
|
||||
cancel: "取消",
|
||||
Edit_Success: "编辑成功",
|
||||
Add: "新增",
|
||||
Add_Success: "新增成功",
|
||||
Error_Message: "出错了",
|
||||
Please_Input: "请输入",
|
||||
Prompt_Info_Scene: "场景",
|
||||
Prompt_Info_Sub_Scene: "次级场景",
|
||||
Prompt_Info_Name: "名称",
|
||||
Prompt_Info_Content: "内容",
|
||||
Public: "公共",
|
||||
Private: "私有",
|
||||
Lowest: "渣渣",
|
||||
Missed: "没理解",
|
||||
Lost: "答不了",
|
||||
Incorrect: "答错了",
|
||||
Verbose: "较啰嗦",
|
||||
Best: "真棒",
|
||||
Rating: "评分",
|
||||
Q_A_Category: "问答类别",
|
||||
Q_A_Rating: "问答评分",
|
||||
feed_back_desc:
|
||||
'0: 无结果\n' +
|
||||
'1: 有结果,但是在文不对题,没有理解问题\n' +
|
||||
'2: 有结果,理解了问题,但是提示回答不了这个问题\n' +
|
||||
'3: 有结果,理解了问题,并做出回答,但是回答的结果错误\n' +
|
||||
'4: 有结果,理解了问题,回答结果正确,但是比较啰嗦,缺乏总结\n' +
|
||||
'5: 有结果,理解了问题,回答结果正确,推理正确,并给出了总结,言简意赅\n',
|
||||
input_count: '共计输入',
|
||||
input_unit: '字',
|
||||
Click_Select: '点击选择',
|
||||
Quick_Start: '快速开始',
|
||||
Select_Plugins: '选择插件',
|
||||
Search: '搜索',
|
||||
Reset: '重置',
|
||||
Update_From_Github: '更新Github插件',
|
||||
Upload: '上传',
|
||||
Market_Plugins: '插件市场',
|
||||
My_Plugins: '我的插件',
|
||||
Del_Knowledge_Tips: '你确定删除该知识库吗',
|
||||
Del_Document_Tips: '你确定删除该文档吗',
|
||||
Tips: '提示',
|
||||
Limit_Upload_File_Count_Tips: '一次只能上传一个文件',
|
||||
To_Plugin_Market: '前往插件市场',
|
||||
Summary: '总结',
|
||||
stacked_column_chart: '堆叠柱状图',
|
||||
column_chart: '柱状图',
|
||||
percent_stacked_column_chart: '百分比堆叠柱状图',
|
||||
grouped_column_chart: '簇形柱状图',
|
||||
time_column: '簇形柱状图',
|
||||
pie_chart: '饼图',
|
||||
line_chart: '折线图',
|
||||
area_chart: '面积图',
|
||||
stacked_area_chart: '堆叠面积图',
|
||||
scatter_plot: '散点图',
|
||||
bubble_chart: '气泡图',
|
||||
stacked_bar_chart: '堆叠条形图',
|
||||
bar_chart: '条形图',
|
||||
percent_stacked_bar_chart: '百分比堆叠条形图',
|
||||
grouped_bar_chart: '簇形条形图',
|
||||
water_fall_chart: '瀑布图',
|
||||
table: '表格',
|
||||
multi_line_chart: '多折线图',
|
||||
multi_measure_column_chart: '多指标柱形图',
|
||||
multi_measure_line_chart: '多指标折线图',
|
||||
Advices: '自动推荐',
|
||||
Retry: '重试',
|
||||
Load_more: '加载更多',
|
||||
new_chat: '创建会话',
|
||||
choice_agent_tip: '请选择代理',
|
||||
no_context_tip: '请输入你的问题',
|
||||
Terminal: '终端',
|
||||
used_apps: '最近使用',
|
||||
app_in_mind: '没有心仪的应用?去',
|
||||
explore: '探索广场',
|
||||
Discover_more: '发现更多',
|
||||
sdk_insert: 'SDK接入',
|
||||
my_apps: '我的应用',
|
||||
awel_flow: 'AWEL 工作流',
|
||||
save: '保存',
|
||||
add_node: '添加节点',
|
||||
no_node: '没有可编排节点',
|
||||
connect_warning: '节点无法连接',
|
||||
flow_modal_title: '保存工作流',
|
||||
flow_name: '工作流名称',
|
||||
flow_description: '工作流描述',
|
||||
flow_name_required: '请输入工作流名称',
|
||||
flow_description_required: '请输入工作流描述',
|
||||
save_flow_success: '保存工作流成功',
|
||||
delete_flow_confirm: '确定删除该工作流吗?',
|
||||
related_nodes: '关联节点',
|
||||
language_select_tips: '请选择语言',
|
||||
add_resource: '添加资源',
|
||||
team_modal: '工作模式',
|
||||
App: '应用程序',
|
||||
resource: '资源',
|
||||
resource_name: '资源名',
|
||||
resource_type: '资源类型',
|
||||
resource_value: '参数',
|
||||
resource_dynamic: '动态',
|
||||
Please_input_the_work_modal: '请选择工作模式',
|
||||
available_resources: '可用资源',
|
||||
edit_new_applications: '编辑新的应用',
|
||||
collect: '收藏',
|
||||
collected: '已收藏',
|
||||
create: '创建',
|
||||
Agents: '智能体',
|
||||
edit_application: '编辑应用',
|
||||
add_application: '添加应用',
|
||||
app_name: '应用名称',
|
||||
input_app_name: '请输入应用名称',
|
||||
LLM_strategy: '模型策略',
|
||||
please_select_LLM_strategy: '请选择模型策略',
|
||||
LLM_strategy_value: '模型策略参数',
|
||||
please_select_LLM_strategy_value: '请选择模型策略参数',
|
||||
operators: '算子',
|
||||
Chinese: '中文',
|
||||
English: '英文',
|
||||
docs: '文档',
|
||||
apps: '全部',
|
||||
please_enter_the_keywords: '请输入关键词',
|
||||
input_tip: '请选择模型,输入描述快速开始',
|
||||
create_app: '创建应用',
|
||||
copy_url: '单击复制分享链接',
|
||||
double_click_open: '双击钉钉打开',
|
||||
construct: '应用管理',
|
||||
chat_online: '在线对话',
|
||||
recommend_apps: '热门推荐',
|
||||
all_apps: '全部应用',
|
||||
latest_apps: '最新应用',
|
||||
my_collected_apps: '我的收藏',
|
||||
collect_success: '收藏成功',
|
||||
cancel_success: '取消成功',
|
||||
published: '已发布',
|
||||
unpublished: '未发布',
|
||||
start_chat: '开始对话',
|
||||
native_app: '原生应用',
|
||||
native_type: '应用类型',
|
||||
temperature: '温度',
|
||||
update: '更新',
|
||||
refreshSuccess: '刷新成功',
|
||||
Download: '下载',
|
||||
app_type_select: '请选择应用类型',
|
||||
please_select_param: '请选择参数',
|
||||
please_select_model: '请选择模型',
|
||||
please_input_temperature: '请输入temperature值',
|
||||
select_workflow: '选择工作流',
|
||||
please_select_workflow: '请选择工作流',
|
||||
recommended_questions: '推荐问题',
|
||||
question: '问题',
|
||||
please_input_recommended_questions: '请输入推荐问题',
|
||||
is_effective: '是否生效',
|
||||
add_question: '添加问题',
|
||||
update_success: '更新成功',
|
||||
update_failed: '更新失败',
|
||||
please_select_prompt: '请选择一个提示词',
|
||||
details: '详情',
|
||||
choose: '选择',
|
||||
please_choose: '请先选择',
|
||||
"0: 无结果\n" +
|
||||
"1: 有结果,但是在文不对题,没有理解问题\n" +
|
||||
"2: 有结果,理解了问题,但是提示回答不了这个问题\n" +
|
||||
"3: 有结果,理解了问题,并做出回答,但是回答的结果错误\n" +
|
||||
"4: 有结果,理解了问题,回答结果正确,但是比较啰嗦,缺乏总结\n" +
|
||||
"5: 有结果,理解了问题,回答结果正确,推理正确,并给出了总结,言简意赅\n",
|
||||
input_count: "共计输入",
|
||||
input_unit: "字",
|
||||
Click_Select: "点击选择",
|
||||
Quick_Start: "快速开始",
|
||||
Select_Plugins: "选择插件",
|
||||
Search: "搜索",
|
||||
Reset: "重置",
|
||||
Update_From_Github: "更新Github插件",
|
||||
Upload: "上传",
|
||||
Market_Plugins: "插件市场",
|
||||
My_Plugins: "我的插件",
|
||||
Del_Knowledge_Tips: "你确定删除该知识库吗",
|
||||
Del_Document_Tips: "你确定删除该文档吗",
|
||||
Tips: "提示",
|
||||
Limit_Upload_File_Count_Tips: "一次只能上传一个文件",
|
||||
To_Plugin_Market: "前往插件市场",
|
||||
Summary: "总结",
|
||||
stacked_column_chart: "堆叠柱状图",
|
||||
column_chart: "柱状图",
|
||||
percent_stacked_column_chart: "百分比堆叠柱状图",
|
||||
grouped_column_chart: "簇形柱状图",
|
||||
time_column: "簇形柱状图",
|
||||
pie_chart: "饼图",
|
||||
line_chart: "折线图",
|
||||
area_chart: "面积图",
|
||||
stacked_area_chart: "堆叠面积图",
|
||||
scatter_plot: "散点图",
|
||||
bubble_chart: "气泡图",
|
||||
stacked_bar_chart: "堆叠条形图",
|
||||
bar_chart: "条形图",
|
||||
percent_stacked_bar_chart: "百分比堆叠条形图",
|
||||
grouped_bar_chart: "簇形条形图",
|
||||
water_fall_chart: "瀑布图",
|
||||
table: "表格",
|
||||
multi_line_chart: "多折线图",
|
||||
multi_measure_column_chart: "多指标柱形图",
|
||||
multi_measure_line_chart: "多指标折线图",
|
||||
Advices: "自动推荐",
|
||||
Retry: "重试",
|
||||
Load_more: "加载更多",
|
||||
new_chat: "创建会话",
|
||||
choice_agent_tip: "请选择代理",
|
||||
no_context_tip: "请输入你的问题",
|
||||
Terminal: "终端",
|
||||
used_apps: "最近使用",
|
||||
app_in_mind: "没有心仪的应用?去",
|
||||
explore: "探索广场",
|
||||
Discover_more: "发现更多",
|
||||
sdk_insert: "SDK接入",
|
||||
my_apps: "我的应用",
|
||||
awel_flow: "AWEL 工作流",
|
||||
save: "保存",
|
||||
add_node: "添加节点",
|
||||
no_node: "没有可编排节点",
|
||||
connect_warning: "节点无法连接",
|
||||
flow_modal_title: "保存工作流",
|
||||
flow_name: "工作流名称",
|
||||
flow_description: "工作流描述",
|
||||
flow_name_required: "请输入工作流名称",
|
||||
flow_description_required: "请输入工作流描述",
|
||||
save_flow_success: "保存工作流成功",
|
||||
delete_flow_confirm: "确定删除该工作流吗?",
|
||||
related_nodes: "关联节点",
|
||||
language_select_tips: "请选择语言",
|
||||
add_resource: "添加资源",
|
||||
team_modal: "工作模式",
|
||||
App: "应用程序",
|
||||
resource: "资源",
|
||||
resource_name: "资源名",
|
||||
resource_type: "资源类型",
|
||||
resource_value: "参数",
|
||||
resource_dynamic: "动态",
|
||||
Please_input_the_work_modal: "请选择工作模式",
|
||||
available_resources: "可用资源",
|
||||
edit_new_applications: "编辑新的应用",
|
||||
collect: "收藏",
|
||||
collected: "已收藏",
|
||||
create: "创建",
|
||||
Agents: "智能体",
|
||||
edit_application: "编辑应用",
|
||||
add_application: "添加应用",
|
||||
app_name: "应用名称",
|
||||
input_app_name: "请输入应用名称",
|
||||
LLM_strategy: "模型策略",
|
||||
please_select_LLM_strategy: "请选择模型策略",
|
||||
LLM_strategy_value: "模型策略参数",
|
||||
please_select_LLM_strategy_value: "请选择模型策略参数",
|
||||
operators: "算子",
|
||||
Chinese: "中文",
|
||||
English: "英文",
|
||||
docs: "文档",
|
||||
apps: "全部",
|
||||
please_enter_the_keywords: "请输入关键词",
|
||||
input_tip: "请选择模型,输入描述快速开始",
|
||||
create_app: "创建应用",
|
||||
copy_url: "单击复制分享链接",
|
||||
double_click_open: "双击钉钉打开",
|
||||
construct: "应用管理",
|
||||
chat_online: "在线对话",
|
||||
recommend_apps: "热门推荐",
|
||||
all_apps: "全部应用",
|
||||
latest_apps: "最新应用",
|
||||
my_collected_apps: "我的收藏",
|
||||
collect_success: "收藏成功",
|
||||
cancel_success: "取消成功",
|
||||
published: "已发布",
|
||||
unpublished: "未发布",
|
||||
start_chat: "开始对话",
|
||||
native_app: "原生应用",
|
||||
native_type: "应用类型",
|
||||
temperature: "温度",
|
||||
update: "更新",
|
||||
refreshSuccess: "刷新成功",
|
||||
Download: "下载",
|
||||
app_type_select: "请选择应用类型",
|
||||
please_select_param: "请选择参数",
|
||||
please_select_model: "请选择模型",
|
||||
please_input_temperature: "请输入temperature值",
|
||||
select_workflow: "选择工作流",
|
||||
please_select_workflow: "请选择工作流",
|
||||
recommended_questions: "推荐问题",
|
||||
question: "问题",
|
||||
please_input_recommended_questions: "请输入推荐问题",
|
||||
is_effective: "是否生效",
|
||||
add_question: "添加问题",
|
||||
update_success: "更新成功",
|
||||
update_failed: "更新失败",
|
||||
please_select_prompt: "请选择一个提示词",
|
||||
details: "详情",
|
||||
choose: "选择",
|
||||
please_choose: "请先选择",
|
||||
want_delete: "你确定要删除吗?",
|
||||
success: '成功',
|
||||
input_parameter: '输入参数',
|
||||
output_structure: '输出结构',
|
||||
User_input: '用户输入',
|
||||
LLM_test: 'LLM测试',
|
||||
Output_verification: '输出验证',
|
||||
select_scene: '请选择场景',
|
||||
select_type: '请选择类型',
|
||||
Please_complete_the_input_parameters: '请填写完整的输入参数',
|
||||
Please_fill_in_the_user_input: '请填写用户输入内容',
|
||||
help: '我可以帮您:',
|
||||
Refresh_status: '刷新状态',
|
||||
Recall_test: '召回测试',
|
||||
synchronization: '一键同步',
|
||||
Synchronization_initiated: '同步已发起,请稍后',
|
||||
Edit_document: '编辑文档',
|
||||
Document_name: '文档名',
|
||||
Correlation_problem: '关联问题',
|
||||
Add_problem: '添加问题',
|
||||
New_knowledge_base: '新增知识库',
|
||||
yuque: '语雀文档',
|
||||
Get_yuque_document: '获取语雀文档的内容',
|
||||
document_url: '文档地址',
|
||||
input_document_url: '请输入文档地址',
|
||||
Get_token: '请先获取团队知识库token,token获取',
|
||||
Reference_link: '参考链接',
|
||||
document_token: '文档token',
|
||||
input_document_token: '请输入文档token',
|
||||
input_question: '请输入问题',
|
||||
detail: '详情',
|
||||
Manual_entry: '手动录入',
|
||||
Data_content: '数据内容',
|
||||
Main_content: '主要内容',
|
||||
Auxiliary_data: '辅助数据',
|
||||
enter_question_first: '请先输入问题',
|
||||
unpublish: '取消发布',
|
||||
publish: '发布应用',
|
||||
Update_successfully: '更新成功',
|
||||
Create_successfully: '创建成功',
|
||||
Update_failure: '更新失败',
|
||||
Create_failure: '创建失败',
|
||||
View_details: '查看详情',
|
||||
All: '全部',
|
||||
Please_input_prompt_name: '请输入prompt名称',
|
||||
success: "成功",
|
||||
input_parameter: "输入参数",
|
||||
output_structure: "输出结构",
|
||||
User_input: "用户输入",
|
||||
LLM_test: "LLM测试",
|
||||
Output_verification: "输出验证",
|
||||
select_scene: "请选择场景",
|
||||
select_type: "请选择类型",
|
||||
Please_complete_the_input_parameters: "请填写完整的输入参数",
|
||||
Please_fill_in_the_user_input: "请填写用户输入内容",
|
||||
help: "我可以帮您:",
|
||||
Refresh_status: "刷新状态",
|
||||
Recall_test: "召回测试",
|
||||
synchronization: "一键同步",
|
||||
Synchronization_initiated: "同步已发起,请稍后",
|
||||
Edit_document: "编辑文档",
|
||||
Document_name: "文档名",
|
||||
Correlation_problem: "关联问题",
|
||||
Add_problem: "添加问题",
|
||||
New_knowledge_base: "新增知识库",
|
||||
yuque: "语雀文档",
|
||||
Get_yuque_document: "获取语雀文档的内容",
|
||||
document_url: "文档地址",
|
||||
input_document_url: "请输入文档地址",
|
||||
Get_token: "请先获取团队知识库token,token获取",
|
||||
Reference_link: "参考链接",
|
||||
document_token: "文档token",
|
||||
input_document_token: "请输入文档token",
|
||||
input_question: "请输入问题",
|
||||
detail: "详情",
|
||||
Manual_entry: "手动录入",
|
||||
Data_content: "数据内容",
|
||||
Main_content: "主要内容",
|
||||
Auxiliary_data: "辅助数据",
|
||||
enter_question_first: "请先输入问题",
|
||||
unpublish: "取消发布",
|
||||
publish: "发布应用",
|
||||
Update_successfully: "更新成功",
|
||||
Create_successfully: "创建成功",
|
||||
Update_failure: "更新失败",
|
||||
Create_failure: "创建失败",
|
||||
View_details: "查看详情",
|
||||
All: "全部",
|
||||
Please_input_prompt_name: "请输入prompt名称",
|
||||
} as const;
|
||||
|
9
web/locales/zh/flow.ts
Normal file
9
web/locales/zh/flow.ts
Normal file
@@ -0,0 +1,9 @@
|
||||
export const FlowZn = {
|
||||
Upload_Data_Successfully: "文件上传成功",
|
||||
Upload_Data_Failed: "文件上传失败",
|
||||
Upload_Data: "上传数据",
|
||||
Code_Editor: "代码编辑器",
|
||||
Open_Code_Editor: "打开代码编辑器",
|
||||
Export_Flow_Success: "导出工作流成功",
|
||||
Import_Flow_Success: "导入工作流成功",
|
||||
};
|
@@ -1,9 +1,11 @@
|
||||
import { CommonZh } from './common';
|
||||
import { ChatZh } from './chat';
|
||||
import { CommonZh } from "./common";
|
||||
import { ChatZh } from "./chat";
|
||||
import { FlowZn } from "./flow";
|
||||
|
||||
const zh = {
|
||||
...CommonZh,
|
||||
...ChatZh,
|
||||
...FlowZn,
|
||||
...CommonZh,
|
||||
};
|
||||
|
||||
export default zh;
|
||||
|
1136
web/yarn.lock
1136
web/yarn.lock
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user