feat(web): memory extraction engine add custom_text

web/src/api/memory.ts

@@ -256,7 +256,7 @@ export const updateMemoryExtractionConfig = (values: ExtractionConfigForm) => {
   return request.post('/memory-storage/update_config_extracted', values)
 }
 // Memory Extraction Engine - Pilot run
-export const pilotRunMemoryExtractionConfig = (values: { config_id: number | string; dialogue_text: string; }, onMessage?: (data: SSEMessage[]) => void) => {
+export const pilotRunMemoryExtractionConfig = (values: { config_id: number | string; dialogue_text: string; custom_text?: string; }, onMessage?: (data: SSEMessage[]) => void) => {
   return handleSSE('/memory-storage/pilot_run', values, onMessage)
 }
 // Emotion Engine - Get configuration

web/src/i18n/en.ts

@@ -1543,7 +1543,8 @@ Memory Bear: After the rebellion, regional warlordism intensified for several re
       text_preprocessing_desc: 'Text split into {{count}} semantic fragments',
       knowledge_extraction_desc: 'Knowledge extraction completed, identified {{entities}} entities, {{statements}} statements, {{temporal_ranges_count}} temporal extractions, {{triplets}} triplets',
       creating_nodes_edges_desc: 'Entity relationship creation completed, {{num}} relationships in total',
-      deduplication_desc: 'Deduplication and disambiguation completed, {{count}} unique entities in total'
+      deduplication_desc: 'Deduplication and disambiguation completed, {{count}} unique entities in total',
+      custom_text: 'Debug Text',
     },
     memoryConversation: {
       searchPlaceholder: 'Enter user ID...',

web/src/i18n/zh.ts

@@ -1617,7 +1617,8 @@ export const zh = {
       text_preprocessing_desc: '文本切分为{{count}}个语义片段',
       knowledge_extraction_desc: '知识抽取完成，共识别{{entities}}个实体,{{statements}}个句子, {{temporal_ranges_count}}个时间提取, {{triplets}}个三元组',
       creating_nodes_edges_desc: '实体关系创建完成，共{{num}}条关系',
-      deduplication_desc: '去重消歧完成，最终{{count}}个唯一实体'
+      deduplication_desc: '去重消歧完成，最终{{count}}个唯一实体',
+      custom_text: '调试文本',
     },
     memoryConversation: {
       chatEmpty:'有什么我可以帮您的吗？',

web/src/views/MemoryExtractionEngine/components/Result.tsx

@@ -13,7 +13,7 @@
 import { type FC, useState } from 'react'
 import { useParams } from 'react-router-dom'
 import { useTranslation } from 'react-i18next'
-import { Space, Button, Progress } from 'antd'
+import { Space, Button, Progress, Form, Input } from 'antd'
 import { ExclamationCircleFilled, CheckCircleFilled, ClockCircleOutlined, LoadingOutlined } from '@ant-design/icons'
 import clsx from 'clsx'
 import type { AnyObject } from 'antd/es/_util/type';
@@ -79,6 +79,8 @@ const Result: FC<ResultProps> = ({ loading, handleSave }) => {
   const [creatingNodesEdges, setCreatingNodesEdges] = useState<ModuleItem>(initObj as ModuleItem)
   const [deduplication, setDeduplication] = useState<ModuleItem>(initObj as ModuleItem)
 
+  const [runForm] = Form.useForm()
+
   /** Run pilot test */
   const handleRun = () => {
     if(!id) return
@@ -187,6 +189,7 @@ const Result: FC<ResultProps> = ({ loading, handleSave }) => {
     pilotRunMemoryExtractionConfig({
       config_id: id,
       dialogue_text: t('memoryExtractionEngine.exampleText'),
+      custom_text: runForm.getFieldValue('custom_text')
     }, handleStreamMessage)
     .finally(() => {
       setRunLoading(false)
@@ -222,6 +225,14 @@ const Result: FC<ResultProps> = ({ loading, handleSave }) => {
       headerClassName="rb:pb-0! rb:pt-4!"
       bodyClassName="rb:min-h-[calc(100vh-388px)] rb:p-[16px_20px]!"
     >
+      <Form form={runForm} layout="vertical">
+        <Form.Item
+          name="custom_text"
+          label={t('memoryExtractionEngine.custom_text')}
+        >
+          <Input.TextArea placeholder={t('common.pleaseEnter')} />
+        </Form.Item>
+      </Form>
       <div className="rb:min-h-[calc(100vh-480px)] rb:overflow-y-auto">
         {runLoading
           ? <>