Revert "sub plan page (#885)" (#886)

This reverts commit 443ad37b6a.

projects/app/src/pages/dataset/detail/components/Import/Provider.tsx

@@ -1,5 +1,6 @@
 import React, { useContext, useCallback, createContext, useState, useMemo, useEffect } from 'react';
 
+import { formatModelPrice2Read } from '@fastgpt/global/support/wallet/bill/tools';
 import { splitText2Chunks } from '@fastgpt/global/common/string/textSplitter';
 import { TrainingModeEnum } from '@fastgpt/global/core/dataset/constants';
 import { useTranslation } from 'next-i18next';
@@ -33,7 +34,7 @@ type useImportStoreType = {
   totalChunkChars: number;
   totalChunks: number;
   chunkSize: number;
-  predictPoints: number;
+  predictPrice: number;
   priceTip: string;
   uploadRate: number;
   splitSources2Chunks: () => void;
@@ -53,7 +54,7 @@ const StateContext = createContext<useImportStoreType>({
   totalChunkChars: 0,
   totalChunks: 0,
   chunkSize: 0,
-  predictPoints: 0,
+  predictPrice: 0,
   priceTip: '',
   uploadRate: 50,
   splitSources2Chunks: () => {}
@@ -104,9 +105,10 @@ const Provider = ({
       chunkSize: embeddingChunkSize,
       showChunkInput: true,
       showPromptInput: false,
-      charsPointsPrice: vectorModel.charsPointsPrice,
+      inputPrice: vectorModel.inputPrice,
+      outputPrice: 0,
       priceTip: t('core.dataset.import.Embedding Estimated Price Tips', {
-        price: vectorModel.charsPointsPrice
+        price: vectorModel.inputPrice
       }),
       uploadRate: 150
     },
@@ -118,9 +120,10 @@ const Provider = ({
       chunkSize: agentModel.maxContext * 0.55 || 6000,
       showChunkInput: false,
       showPromptInput: true,
-      charsPointsPrice: agentModel.charsPointsPrice,
+      inputPrice: agentModel.inputPrice,
+      outputPrice: agentModel.outputPrice,
       priceTip: t('core.dataset.import.QA Estimated Price Tips', {
-        price: agentModel?.charsPointsPrice
+        price: agentModel?.inputPrice
       }),
       uploadRate: 30
     }
@@ -148,12 +151,15 @@ const Provider = ({
     () => sources.reduce((sum, file) => sum + file.chunkChars, 0),
     [sources]
   );
-  const predictPoints = useMemo(() => {
+  const predictPrice = useMemo(() => {
     if (mode === TrainingModeEnum.qa) {
-      return +(((totalChunkChars * 1.5) / 1000) * agentModel.charsPointsPrice).toFixed(2);
+      const inputTotal = totalChunkChars * selectModelStaticParam.inputPrice;
+      const outputTotal = totalChunkChars * 0.5 * selectModelStaticParam.inputPrice;
+
+      return formatModelPrice2Read(inputTotal + outputTotal);
     }
-    return +((totalChunkChars / 1000) * vectorModel.charsPointsPrice).toFixed(2);
-  }, [agentModel.charsPointsPrice, mode, totalChunkChars, vectorModel.charsPointsPrice]);
+    return formatModelPrice2Read(totalChunkChars * selectModelStaticParam.inputPrice);
+  }, [mode, selectModelStaticParam.inputPrice, totalChunkChars]);
   const totalChunks = useMemo(
     () => sources.reduce((sum, file) => sum + file.chunks.length, 0),
     [sources]
@@ -172,8 +178,7 @@ const Provider = ({
         return {
           ...file,
           chunkChars: chars,
-          chunks: chunks.map((chunk, i) => ({
-            chunkIndex: i,
+          chunks: chunks.map((chunk) => ({
             q: chunk,
             a: ''
           }))
@@ -193,7 +198,7 @@ const Provider = ({
     totalChunkChars,
     totalChunks,
     chunkSize,
-    predictPoints,
+    predictPrice,
     splitSources2Chunks
   };
   return <StateContext.Provider value={value}>{children}</StateContext.Provider>;

projects/app/src/pages/dataset/detail/components/Import/commonProgress/DataProcess.tsx

@@ -46,7 +46,7 @@ function DataProcess({
     maxChunkSize,
     totalChunkChars,
     totalChunks,
-    predictPoints,
+    predictPrice,
     showRePreview,
     splitSources2Chunks,
     priceTip
@@ -275,7 +275,7 @@ function DataProcess({
             {feConfigs?.show_pay && (
               <MyTooltip label={priceTip}>
                 <Tag colorSchema={'gray'} py={'6px'} borderRadius={'md'} px={3}>
-                  {t('core.dataset.import.Estimated points', { points: predictPoints })}
+                  {t('core.dataset.import.Estimated Price', { amount: predictPrice, unit: '元' })}
                 </Tag>
               </MyTooltip>
             )}

projects/app/src/pages/dataset/detail/components/Import/commonProgress/Upload.tsx

@@ -16,7 +16,7 @@ import { useImportStore, type FormType } from '../Provider';
 import { useTranslation } from 'next-i18next';
 import MyIcon from '@fastgpt/web/components/common/Icon';
 import { useRequest } from '@/web/common/hooks/useRequest';
-import { postCreateTrainingUsage } from '@/web/support/wallet/usage/api';
+import { postCreateTrainingBill } from '@/web/support/wallet/bill/api';
 import { useDatasetStore } from '@/web/core/dataset/store/dataset';
 import { chunksUpload, fileCollectionCreate } from '@/web/core/dataset/utils';
 import { ImportSourceItemType } from '@/web/core/dataset/type';
@@ -54,7 +54,7 @@ const Upload = ({ showPreviewChunks }: { showPreviewChunks: boolean }) => {
 
       // Batch create collection and upload chunks
       for await (const item of uploadList) {
-        const billId = await postCreateTrainingUsage({
+        const billId = await postCreateTrainingBill({
           name: item.sourceName,
           datasetId: datasetDetail._id
         });