update buildin mcp tools
This commit is contained in:
duanfuxiang
parent
2b571f67a7
commit
4053214078
@ -64,6 +64,8 @@ import McpHubView from './McpHubView' // Moved after MarkdownReasoningBlock
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import QueryProgress, { QueryProgressState } from './QueryProgress'
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import ReactMarkdown from './ReactMarkdown'
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import SimilaritySearchResults from './SimilaritySearchResults'
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import FileReadResults from './FileReadResults'
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import WebsiteReadResults from './WebsiteReadResults'
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import MarkdownReasoningBlock from './Markdown/MarkdownReasoningBlock'
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// Add an empty line here
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@ -1079,6 +1081,18 @@ const Chat = forwardRef<ChatRef, ChatProps>((props, ref) => {
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)
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}}
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/>
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{message.fileReadResults && (
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<FileReadResults
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key={"file-read-" + message.id}
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fileContents={message.fileReadResults}
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/>
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)}
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{message.websiteReadResults && (
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<WebsiteReadResults
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key={"website-read-" + message.id}
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websiteContents={message.websiteReadResults}
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/>
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)}
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{message.similaritySearchResults && (
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<SimilaritySearchResults
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key={"similarity-search-" + message.id}
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82
src/components/chat-view/FileReadResults.tsx
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82
src/components/chat-view/FileReadResults.tsx
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@ -0,0 +1,82 @@
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import path from 'path'
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import { ChevronDown, ChevronRight, FileText } from 'lucide-react'
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import { useState } from 'react'
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import { useApp } from '../../contexts/AppContext'
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import { t } from '../../lang/helpers'
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import { openMarkdownFile } from '../../utils/obsidian'
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function FileReadItem({
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fileResult,
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}: {
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fileResult: { path: string, content: string }
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}) {
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const app = useApp()
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const handleClick = () => {
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openMarkdownFile(app, fileResult.path)
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}
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const getFileSize = (content: string) => {
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const bytes = new Blob([content]).size
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if (bytes < 1024) return `${bytes} B`
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if (bytes < 1024 * 1024) return `${(bytes / 1024).toFixed(1)} KB`
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return `${(bytes / (1024 * 1024)).toFixed(1)} MB`
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}
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return (
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<div onClick={handleClick} className="infio-file-read-item">
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<div className="infio-file-read-item__icon">
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<FileText size={16} />
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</div>
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<div className="infio-file-read-item__info">
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<div className="infio-file-read-item__name">
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{path.basename(fileResult.path)}
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</div>
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<div className="infio-file-read-item__path">
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{fileResult.path}
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</div>
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</div>
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<div className="infio-file-read-item__size">
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{getFileSize(fileResult.content)}
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</div>
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</div>
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)
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}
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export default function FileReadResults({
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fileContents,
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}: {
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fileContents: Array<{ path: string, content: string }>
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}) {
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const [isOpen, setIsOpen] = useState(false)
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return (
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<div className="infio-file-read-results">
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<div
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onClick={() => {
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setIsOpen(!isOpen)
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}}
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className="infio-file-read-results__trigger"
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>
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{isOpen ? <ChevronDown size={16} /> : <ChevronRight size={16} />}
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<div>
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{t('chat.fileResults.showReadFiles')} ({fileContents.length})
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</div>
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</div>
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{isOpen && (
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<div
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style={{
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display: 'flex',
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flexDirection: 'column',
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}}
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>
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{fileContents.map((fileResult, index) => (
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<FileReadItem key={`${fileResult.path}-${index}`} fileResult={fileResult} />
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))}
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</div>
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)}
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</div>
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)
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}
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@ -4,6 +4,26 @@ export type QueryProgressState =
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| {
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type: 'reading-mentionables'
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}
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| {
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type: 'reading-files'
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currentFile?: string
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totalFiles?: number
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completedFiles?: number
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}
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| {
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type: 'reading-files-done'
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fileContents: Array<{ path: string, content: string }>
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}
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| {
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type: 'reading-websites'
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currentUrl?: string
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totalUrls?: number
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completedUrls?: number
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}
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| {
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type: 'reading-websites-done'
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websiteContents: Array<{ url: string, content: string }>
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}
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| {
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type: 'indexing'
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indexProgress: IndexProgress
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@ -43,6 +63,62 @@ export default function QueryProgress({
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</p>
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</div>
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)
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case 'reading-files':
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return (
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<div className="infio-query-progress">
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<p>
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{t('chat.queryProgress.readingFiles')}
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<DotLoader />
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</p>
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{state.currentFile && (
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<p className="infio-query-progress-detail">
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{state.currentFile}
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{state.totalFiles && state.completedFiles !== undefined && (
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<span> ({state.completedFiles}/{state.totalFiles})</span>
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)}
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</p>
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)}
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</div>
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)
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case 'reading-files-done':
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return (
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<div className="infio-query-progress">
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<p>
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{t('chat.queryProgress.readingFilesDone')}
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</p>
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<p className="infio-query-progress-detail">
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{t('chat.queryProgress.filesLoaded', { count: state.fileContents.length })}
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</p>
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</div>
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)
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case 'reading-websites':
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return (
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<div className="infio-query-progress">
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<p>
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{t('chat.queryProgress.readingWebsites')}
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<DotLoader />
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</p>
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{state.currentUrl && (
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<p className="infio-query-progress-detail">
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{state.currentUrl}
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{state.totalUrls && state.completedUrls !== undefined && (
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<span> ({state.completedUrls}/{state.totalUrls})</span>
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)}
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</p>
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)}
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</div>
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)
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case 'reading-websites-done':
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return (
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<div className="infio-query-progress">
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<p>
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{t('chat.queryProgress.readingWebsitesDone')}
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</p>
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<p className="infio-query-progress-detail">
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{t('chat.queryProgress.websitesLoaded', { count: state.websiteContents.length })}
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</p>
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</div>
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)
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case 'indexing':
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return (
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<div className="infio-query-progress">
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95
src/components/chat-view/WebsiteReadResults.tsx
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95
src/components/chat-view/WebsiteReadResults.tsx
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@ -0,0 +1,95 @@
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import { ChevronDown, ChevronRight, FileText, Globe } from 'lucide-react'
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import { TFile } from 'obsidian'
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import { useState } from 'react'
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import { useApp } from '../../contexts/AppContext'
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import { t } from '../../lang/helpers'
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function WebsiteReadItem({
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websiteResult,
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}: {
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websiteResult: { url: string, content: string }
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}) {
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const app = useApp()
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const handleClick = () => {
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// 现在url字段实际上是markdown文件路径，直接在Obsidian中打开
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const file = app.vault.getAbstractFileByPath(websiteResult.url)
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if (file instanceof TFile) {
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app.workspace.getLeaf('tab').openFile(file)
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}
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}
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const getContentSize = (content: string) => {
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const bytes = new Blob([content]).size
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if (bytes < 1024) return `${bytes} B`
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if (bytes < 1024 * 1024) return `${(bytes / 1024).toFixed(1)} KB`
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return `${(bytes / (1024 * 1024)).toFixed(1)} MB`
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}
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const getFileBaseName = (filePath: string) => {
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return filePath.split('/').pop()?.replace('.md', '') || 'website'
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}
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const truncatePath = (filePath: string, maxLength: number = 60) => {
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if (filePath.length <= maxLength) return filePath
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return '...' + filePath.substring(filePath.length - maxLength)
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}
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return (
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<div onClick={handleClick} className="infio-website-read-item">
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<div className="infio-website-read-item__icon">
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<FileText size={16} />
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</div>
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<div className="infio-website-read-item__info">
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<div className="infio-website-read-item__domain">
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{getFileBaseName(websiteResult.url)}
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</div>
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<div className="infio-website-read-item__url">
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{truncatePath(websiteResult.url)}
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</div>
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</div>
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<div className="infio-website-read-item__actions">
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<div className="infio-website-read-item__size">
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{getContentSize(websiteResult.content)}
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</div>
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</div>
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</div>
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)
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}
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export default function WebsiteReadResults({
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websiteContents,
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}: {
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websiteContents: Array<{ url: string, content: string }>
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}) {
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const [isOpen, setIsOpen] = useState(false)
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return (
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<div className="infio-website-read-results">
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<div
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onClick={() => {
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setIsOpen(!isOpen)
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}}
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className="infio-website-read-results__trigger"
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>
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{isOpen ? <ChevronDown size={16} /> : <ChevronRight size={16} />}
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<div>
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{t('chat.websiteResults.showReadWebsites')} ({websiteContents.length})
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</div>
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</div>
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{isOpen && (
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<div
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style={{
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display: 'flex',
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flexDirection: 'column',
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}}
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>
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{websiteContents.map((websiteResult, index) => (
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<WebsiteReadItem key={`${websiteResult.url}-${index}`} websiteResult={websiteResult} />
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))}
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</div>
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)}
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</div>
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)
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}
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@ -1321,7 +1321,13 @@ export class McpHub {
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throw new Error("Built-in server is not connected")
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}
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// 调用内置 API
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// 调用内置 API，设置 10 分钟超时
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const controller = new AbortController()
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const timeoutId = setTimeout(() => {
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controller.abort()
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}, 10 * 60 * 1000) // 10 分钟超时
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try {
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const response = await fetch(`${INFIO_BASE_URL}/mcp/tools/call`, {
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method: 'POST',
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headers: {
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@ -1332,32 +1338,45 @@ export class McpHub {
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name: toolName,
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arguments: toolArguments || {},
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}),
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signal: controller.signal,
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})
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clearTimeout(timeoutId)
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if (!response.ok) {
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throw new Error(`HTTP ${response.status}: ${response.statusText}`)
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}
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const result = await response.json()
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// 转换为 McpToolCallResponse 格式
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// 接口已经返回了 MCP 格式的内容数组，直接使用
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return {
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content: [{
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type: "text",
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text: typeof result === 'string' ? result : JSON.stringify(result, null, 2)
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}],
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content: Array.isArray(result) ? result : [result],
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isError: false,
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}
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} catch (error) {
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clearTimeout(timeoutId)
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console.error(`Failed to call built-in tool ${toolName}:`, error)
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// 特殊处理超时错误
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let errorMessage: string
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if (error instanceof Error && error.name === 'AbortError') {
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errorMessage = `请求超时：工具 ${toolName} 执行时间超过 10 分钟`
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} else {
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errorMessage = `Error calling built-in tool: ${error instanceof Error ? error.message : String(error)}`
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}
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return {
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content: [{
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type: "text",
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text: `Error calling built-in tool: ${error instanceof Error ? error.message : String(error)}`
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text: errorMessage
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}],
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isError: true,
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}
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}
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} catch (error) {
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console.error(`Failed to call built-in tool ${toolName}:`, error)
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throw error
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}
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}
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async toggleToolAlwaysAllow(
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@ -1547,4 +1566,40 @@ export class McpHub {
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throw error
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}
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}
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/**
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* 检查内置服务器是否可用
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* @returns true 如果内置服务器已连接且未被禁用，否则返回 false
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*/
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public isBuiltInServerAvailable(): boolean {
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return !!(
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this.builtInConnection &&
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this.builtInConnection.server.status === "connected" &&
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!this.builtInConnection.server.disabled
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)
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}
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/**
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* 获取内置服务器的详细状态信息
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* @returns 包含内置服务器状态信息的对象，如果不存在则返回 null
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*/
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public getBuiltInServerStatus(): {
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exists: boolean
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status: "connecting" | "connected" | "disconnected"
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disabled: boolean
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toolsCount: number
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error?: string
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} | null {
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if (!this.builtInConnection) {
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return null
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}
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return {
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exists: true,
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status: this.builtInConnection.server.status,
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disabled: this.builtInConnection.server.disabled,
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toolsCount: this.builtInConnection.server.tools?.length || 0,
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error: this.builtInConnection.server.error,
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}
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}
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}
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@ -40,6 +40,12 @@ export default {
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searchResults: {
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showReferencedDocuments: "Show Referenced Documents"
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},
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fileResults: {
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showReadFiles: "Show Read Files"
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},
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websiteResults: {
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showReadWebsites: "Show Website Content Files"
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},
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LLMResponseInfoPopover: {
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header: "LLM response information",
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tokenCount: "Token count",
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@ -53,6 +59,12 @@ export default {
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},
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queryProgress: {
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readingMentionableFiles: "Reading mentioned files",
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readingFiles: "Reading files",
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readingFilesDone: "Files read successfully",
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filesLoaded: "{count} files loaded",
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readingWebsites: "Reading websites",
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readingWebsitesDone: "Websites read successfully",
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websitesLoaded: "{count} websites loaded",
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indexing: "Indexing",
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file: "file",
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chunkIndexed: "chunk indexed",
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@ -41,6 +41,12 @@ export default {
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searchResults: {
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showReferencedDocuments: "显示引用的文档"
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},
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fileResults: {
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showReadFiles: "显示读取的文件"
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},
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websiteResults: {
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showReadWebsites: "显示网页内容文件"
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},
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LLMResponseInfoPopover: {
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header: "LLM 响应信息",
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tokenCount: "Token 数量",
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@ -54,6 +60,12 @@ export default {
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},
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queryProgress: {
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readingMentionableFiles: "正在读取提及的文件",
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readingFiles: "正在读取文件",
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readingFilesDone: "文件读取完成",
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filesLoaded: "已加载 {count} 个文件",
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readingWebsites: "正在读取网页内容",
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readingWebsitesDone: "网页内容读取完成",
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websitesLoaded: "已加载 {count} 个网页",
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indexing: "正在索引",
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file: "文件",
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chunkIndexed: "块已索引",
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@ -18,6 +18,8 @@ export type ChatUserMessage = {
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similaritySearchResults?: (Omit<SelectVector, 'embedding'> & {
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similarity: number
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})[]
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fileReadResults?: Array<{ path: string, content: string }>
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websiteReadResults?: Array<{ url: string, content: string }>
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}
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export type ChatAssistantMessage = {
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@ -45,6 +47,8 @@ export type SerializedChatUserMessage = {
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similaritySearchResults?: (Omit<SelectVector, 'embedding'> & {
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similarity: number
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})[]
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fileReadResults?: Array<{ path: string, content: string }>
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websiteReadResults?: Array<{ url: string, content: string }>
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}
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export type SerializedChatAssistantMessage = {
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@ -1,4 +1,4 @@
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import { App, MarkdownView, TAbstractFile, TFile, TFolder, Vault, getLanguage, htmlToMarkdown, requestUrl } from 'obsidian'
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import { App, MarkdownView, TAbstractFile, TFile, TFolder, Vault, getLanguage, htmlToMarkdown, normalizePath, requestUrl } from 'obsidian'
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import { editorStateToPlainText } from '../components/chat-view/chat-input/utils/editor-state-to-plain-text'
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import { QueryProgressState } from '../components/chat-view/QueryProgress'
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@ -21,10 +21,8 @@ import { InfioSettings } from '../types/settings'
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import { CustomModePrompts, Mode, ModeConfig, getFullModeDetails } from "../utils/modes"
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|
||||
import {
|
||||
readTFileContent,
|
||||
readMultipleTFiles,
|
||||
getNestedFiles,
|
||||
parsePdfContent
|
||||
parsePdfContent,
|
||||
readTFileContent
|
||||
} from './obsidian'
|
||||
import { tokenCount } from './token'
|
||||
import { isVideoUrl, isYoutubeUrl } from './video-detector'
|
||||
@ -70,7 +68,11 @@ async function getFolderTreeContent(path: TFolder): Promise<string> {
|
||||
}
|
||||
}
|
||||
|
||||
async function getFileOrFolderContent(path: TAbstractFile, vault: Vault, app?: App): Promise<string> {
|
||||
async function getFileOrFolderContent(
|
||||
path: TAbstractFile,
|
||||
vault: Vault,
|
||||
app?: App
|
||||
): Promise<string> {
|
||||
try {
|
||||
if (path instanceof TFile) {
|
||||
if (path.extension === 'pdf') {
|
||||
@ -184,7 +186,7 @@ export class PromptGenerator {
|
||||
}
|
||||
const isNewChat = messages.filter(message => message.role === 'user').length === 1
|
||||
|
||||
const { promptContent, similaritySearchResults } =
|
||||
const { promptContent, similaritySearchResults, fileReadResults, websiteReadResults } =
|
||||
await this.compileUserMessagePrompt({
|
||||
isNewChat,
|
||||
message: lastUserMessage,
|
||||
@ -198,6 +200,8 @@ export class PromptGenerator {
|
||||
...lastUserMessage,
|
||||
promptContent,
|
||||
similaritySearchResults,
|
||||
fileReadResults,
|
||||
websiteReadResults,
|
||||
},
|
||||
]
|
||||
|
||||
@ -318,6 +322,8 @@ export class PromptGenerator {
|
||||
similaritySearchResults?: (Omit<SelectVector, 'embedding'> & {
|
||||
similarity: number
|
||||
})[]
|
||||
fileReadResults?: Array<{ path: string, content: string }>
|
||||
websiteReadResults?: Array<{ url: string, content: string }>
|
||||
}> {
|
||||
// Add environment details
|
||||
// const environmentDetails = isNewChat
|
||||
@ -349,27 +355,130 @@ export class PromptGenerator {
|
||||
|
||||
const taskPrompt = isNewChat ? `<task>\n${query}\n</task>` : `<feedback>\n${query}\n</feedback>`
|
||||
|
||||
// 收集所有读取结果用于显示
|
||||
const allFileReadResults: Array<{ path: string, content: string }> = []
|
||||
const allWebsiteReadResults: Array<{ url: string, content: string }> = []
|
||||
|
||||
// user mention files
|
||||
const files = message.mentionables
|
||||
.filter((m): m is MentionableFile => m.type === 'file')
|
||||
.map((m) => m.file)
|
||||
let fileContentsPrompts = files.length > 0
|
||||
? (await Promise.all(files.map(async (file) => {
|
||||
const content = await getFileOrFolderContent(file, this.app.vault, this.app)
|
||||
return `<file_content path="${file.path}">\n${content}\n</file_content>`
|
||||
}))).join('\n')
|
||||
: undefined
|
||||
let fileContentsPrompts: string | undefined = undefined
|
||||
if (files.length > 0) {
|
||||
// 初始化文件读取进度
|
||||
onQueryProgressChange?.({
|
||||
type: 'reading-files',
|
||||
totalFiles: files.length,
|
||||
completedFiles: 0
|
||||
})
|
||||
|
||||
// 确保UI有时间显示初始状态
|
||||
await new Promise(resolve => setTimeout(resolve, 100))
|
||||
|
||||
const fileContents: string[] = []
|
||||
const fileContentsForProgress: Array<{ path: string, content: string }> = []
|
||||
let completedFiles = 0
|
||||
|
||||
for (const file of files) {
|
||||
// 更新当前正在读取的文件
|
||||
onQueryProgressChange?.({
|
||||
type: 'reading-files',
|
||||
currentFile: file.path,
|
||||
totalFiles: files.length,
|
||||
completedFiles: completedFiles
|
||||
})
|
||||
|
||||
const content = await getFileOrFolderContent(
|
||||
file,
|
||||
this.app.vault,
|
||||
this.app
|
||||
)
|
||||
|
||||
// 创建Markdown文件
|
||||
const markdownFilePath = await this.createMarkdownFileForContent(
|
||||
file.path,
|
||||
content,
|
||||
false
|
||||
)
|
||||
|
||||
completedFiles++
|
||||
fileContents.push(`<file_content path="${file.path}">\n${content}\n</file_content>`)
|
||||
fileContentsForProgress.push({ path: markdownFilePath, content })
|
||||
allFileReadResults.push({ path: markdownFilePath, content })
|
||||
}
|
||||
|
||||
// 文件读取完成
|
||||
onQueryProgressChange?.({
|
||||
type: 'reading-files-done',
|
||||
fileContents: fileContentsForProgress
|
||||
})
|
||||
|
||||
// 让用户看到完成状态
|
||||
await new Promise(resolve => setTimeout(resolve, 200))
|
||||
|
||||
fileContentsPrompts = fileContents.join('\n')
|
||||
}
|
||||
|
||||
// user mention folders
|
||||
const folders = message.mentionables
|
||||
.filter((m): m is MentionableFolder => m.type === 'folder')
|
||||
.map((m) => m.folder)
|
||||
let folderContentsPrompts = folders.length > 0
|
||||
? (await Promise.all(folders.map(async (folder) => {
|
||||
const content = await getFileOrFolderContent(folder, this.app.vault, this.app)
|
||||
return `<folder_content path="${folder.path}">\n${content}\n</folder_content>`
|
||||
}))).join('\n')
|
||||
: undefined
|
||||
let folderContentsPrompts: string | undefined = undefined
|
||||
if (folders.length > 0) {
|
||||
// 初始化文件夹读取进度（如果之前没有文件需要读取）
|
||||
if (files.length === 0) {
|
||||
onQueryProgressChange?.({
|
||||
type: 'reading-files',
|
||||
totalFiles: folders.length,
|
||||
completedFiles: 0
|
||||
})
|
||||
}
|
||||
|
||||
const folderContents: string[] = []
|
||||
const folderContentsForProgress: Array<{ path: string, content: string }> = []
|
||||
let completedFolders = 0
|
||||
|
||||
for (const folder of folders) {
|
||||
// 更新当前正在读取的文件夹
|
||||
onQueryProgressChange?.({
|
||||
type: 'reading-files',
|
||||
currentFile: folder.path,
|
||||
totalFiles: folders.length,
|
||||
completedFiles: completedFolders
|
||||
})
|
||||
|
||||
const content = await getFileOrFolderContent(
|
||||
folder,
|
||||
this.app.vault,
|
||||
this.app
|
||||
)
|
||||
|
||||
// 为文件夹内容创建Markdown文件
|
||||
const markdownFilePath = await this.createMarkdownFileForContent(
|
||||
`${folder.path}/folder-contents`,
|
||||
content,
|
||||
false
|
||||
)
|
||||
|
||||
completedFolders++
|
||||
folderContents.push(`<folder_content path="${folder.path}">\n${content}\n</folder_content>`)
|
||||
folderContentsForProgress.push({ path: markdownFilePath, content })
|
||||
allFileReadResults.push({ path: markdownFilePath, content })
|
||||
}
|
||||
|
||||
// 文件夹读取完成（如果之前没有文件需要读取）
|
||||
if (files.length === 0) {
|
||||
onQueryProgressChange?.({
|
||||
type: 'reading-files-done',
|
||||
fileContents: folderContentsForProgress
|
||||
})
|
||||
|
||||
// 让用户看到完成状态
|
||||
await new Promise(resolve => setTimeout(resolve, 200))
|
||||
}
|
||||
|
||||
folderContentsPrompts = folderContents.join('\n')
|
||||
}
|
||||
|
||||
// user mention blocks
|
||||
const blocks = message.mentionables.filter(
|
||||
@ -388,16 +497,62 @@ export class PromptGenerator {
|
||||
const urls = message.mentionables.filter(
|
||||
(m): m is MentionableUrl => m.type === 'url',
|
||||
)
|
||||
const urlContents = await Promise.all(
|
||||
urls.map(async ({ url }) => ({
|
||||
const urlContents: Array<{ url: string, content: string }> = []
|
||||
if (urls.length > 0) {
|
||||
// 初始化网页读取进度
|
||||
onQueryProgressChange?.({
|
||||
type: 'reading-websites',
|
||||
totalUrls: urls.length,
|
||||
completedUrls: 0
|
||||
})
|
||||
|
||||
// 确保UI有时间显示初始状态
|
||||
await new Promise(resolve => setTimeout(resolve, 100))
|
||||
|
||||
let completedUrls = 0
|
||||
|
||||
const mcpHub = await this.getMcpHub()
|
||||
|
||||
for (const { url } of urls) {
|
||||
// 更新当前正在读取的网页
|
||||
onQueryProgressChange?.({
|
||||
type: 'reading-websites',
|
||||
currentUrl: url,
|
||||
totalUrls: urls.length,
|
||||
completedUrls: completedUrls
|
||||
})
|
||||
|
||||
const content = await this.getWebsiteContent(url, mcpHub)
|
||||
|
||||
// 从内容中提取标题
|
||||
const websiteTitle = this.extractTitleFromWebsiteContent(content, url)
|
||||
|
||||
// 为网页内容创建Markdown文件
|
||||
const markdownFilePath = await this.createMarkdownFileForContent(
|
||||
url,
|
||||
content: await this.getWebsiteContent(url)
|
||||
}))
|
||||
content,
|
||||
true,
|
||||
websiteTitle
|
||||
)
|
||||
|
||||
completedUrls++
|
||||
urlContents.push({ url: markdownFilePath, content }) // 这里url改为markdownFilePath
|
||||
allWebsiteReadResults.push({ url: markdownFilePath, content }) // 同样这里也改为markdownFilePath
|
||||
}
|
||||
|
||||
// 网页读取完成
|
||||
onQueryProgressChange?.({
|
||||
type: 'reading-websites-done',
|
||||
websiteContents: urlContents
|
||||
})
|
||||
|
||||
// 让用户看到完成状态
|
||||
await new Promise(resolve => setTimeout(resolve, 200))
|
||||
}
|
||||
const urlContentsPrompt = urlContents.length > 0
|
||||
? urlContents
|
||||
.map(({ url, content }) => (
|
||||
`<url_content url="${url}">\n${content}\n</url_content>`
|
||||
`<file_content path="${url}">\n${content}\n</file_content>`
|
||||
))
|
||||
.join('\n') : undefined
|
||||
|
||||
@ -405,9 +560,51 @@ export class PromptGenerator {
|
||||
const currentFile = message.mentionables
|
||||
.filter((m): m is MentionableFile => m.type === 'current-file')
|
||||
.first()
|
||||
const currentFileContent = currentFile && currentFile.file != null
|
||||
? await getFileOrFolderContent(currentFile.file, this.app.vault, this.app)
|
||||
: undefined
|
||||
let currentFileContent: string | undefined = undefined
|
||||
if (currentFile && currentFile.file != null) {
|
||||
// 初始化当前文件读取进度（如果之前没有其他文件或文件夹需要读取）
|
||||
if (files.length === 0 && folders.length === 0) {
|
||||
onQueryProgressChange?.({
|
||||
type: 'reading-files',
|
||||
currentFile: currentFile.file.path,
|
||||
totalFiles: 1,
|
||||
completedFiles: 0
|
||||
})
|
||||
}
|
||||
|
||||
// 如果当前文件不是 md 文件且 mcpHub 存在，使用 MCP 工具转换
|
||||
const mcpHub = await this.getMcpHub?.()
|
||||
if (currentFile.file.extension !== 'md' && mcpHub?.isBuiltInServerAvailable()) {
|
||||
currentFileContent = await this.callMcpToolConvertDocument(currentFile.file, mcpHub)
|
||||
} else {
|
||||
currentFileContent = await getFileOrFolderContent(
|
||||
currentFile.file,
|
||||
this.app.vault,
|
||||
this.app
|
||||
)
|
||||
}
|
||||
|
||||
// 为当前文件创建Markdown文件
|
||||
const currentMarkdownFilePath = await this.createMarkdownFileForContent(
|
||||
currentFile.file.path,
|
||||
currentFileContent,
|
||||
false
|
||||
)
|
||||
|
||||
// 添加当前文件到读取结果中
|
||||
allFileReadResults.push({ path: currentMarkdownFilePath, content: currentFileContent })
|
||||
|
||||
// 当前文件读取完成（如果之前没有其他文件或文件夹需要读取）
|
||||
if (files.length === 0 && folders.length === 0) {
|
||||
onQueryProgressChange?.({
|
||||
type: 'reading-files-done',
|
||||
fileContents: [{ path: currentMarkdownFilePath, content: currentFileContent }]
|
||||
})
|
||||
|
||||
// 让用户看到完成状态
|
||||
await new Promise(resolve => setTimeout(resolve, 200))
|
||||
}
|
||||
}
|
||||
|
||||
// Check if current file content should be included
|
||||
let shouldIncludeCurrentFile = false
|
||||
@ -458,15 +655,19 @@ export class PromptGenerator {
|
||||
fileContentsPrompts = files.map((file) => {
|
||||
return `<file_content path="${file.path}">\n(Content omitted due to token limit. Relevant sections will be provided by semantic search below.)\n</file_content>`
|
||||
}).join('\n')
|
||||
folderContentsPrompts = folders.map(async (folder) => {
|
||||
folderContentsPrompts = (await Promise.all(folders.map(async (folder) => {
|
||||
const tree_content = await getFolderTreeContent(folder)
|
||||
return `<folder_content path="${folder.path}">\n${tree_content}\n(Content omitted due to token limit. Relevant sections will be provided by semantic search below.)\n</folder_content>`
|
||||
}).join('\n')
|
||||
}))).join('\n')
|
||||
}
|
||||
|
||||
const shouldUseRAG = useVaultSearch || isOverThreshold
|
||||
let similaritySearchContents
|
||||
if (shouldUseRAG) {
|
||||
// 重置进度状态，准备进入RAG阶段
|
||||
onQueryProgressChange?.({
|
||||
type: 'reading-mentionables',
|
||||
})
|
||||
similaritySearchResults = useVaultSearch
|
||||
? await (
|
||||
await this.getRagEngine()
|
||||
@ -530,6 +731,8 @@ export class PromptGenerator {
|
||||
)
|
||||
],
|
||||
similaritySearchResults,
|
||||
fileReadResults: allFileReadResults.length > 0 ? allFileReadResults : undefined,
|
||||
websiteReadResults: allWebsiteReadResults.length > 0 ? allWebsiteReadResults : undefined,
|
||||
}
|
||||
}
|
||||
|
||||
@ -773,7 +976,14 @@ When writing out new markdown blocks, remember not to include "line_number|" at
|
||||
* - filter visually hidden elements
|
||||
* ...
|
||||
*/
|
||||
private async getWebsiteContent(url: string): Promise<string> {
|
||||
private async getWebsiteContent(url: string, mcpHub: McpHub | null): Promise<string> {
|
||||
|
||||
const mcpHubAvailable = mcpHub?.isBuiltInServerAvailable()
|
||||
|
||||
if (mcpHubAvailable && isVideoUrl(url)) {
|
||||
return this.callMcpToolConvertVideo(url, mcpHub)
|
||||
}
|
||||
|
||||
if (isYoutubeUrl(url)) {
|
||||
// TODO: pass language based on user preferences
|
||||
const { title, transcript } =
|
||||
@ -789,25 +999,224 @@ ${transcript.map((t) => `${t.offset}: ${t.text}`).join('\n')}`
|
||||
return htmlToMarkdown(response.text)
|
||||
}
|
||||
|
||||
private async callMcpToolGetWebsiteContent(url: string, mcpHub: McpHub | null): Promise<string> {
|
||||
if (isVideoUrl(url)) {
|
||||
return this.callMcpToolConvertVideo(url, mcpHub)
|
||||
}
|
||||
return this.callMcpToolFetchUrlContent(url, mcpHub)
|
||||
private async callMcpToolConvertVideo(url: string, mcpHub: McpHub): Promise<string> {
|
||||
const response = await mcpHub.callTool(
|
||||
'infio-builtin-server',
|
||||
'CONVERT_VIDEO',
|
||||
{ url, detect_language: 'en' }
|
||||
)
|
||||
|
||||
// 处理图片内容并获取图片引用
|
||||
const imageReferences = await this.processImagesInResponse(response.content)
|
||||
|
||||
const textContent = response.content.find((c) => c.type === 'text')
|
||||
let result = textContent?.text || ''
|
||||
|
||||
// 在文本内容末尾添加图片引用
|
||||
if (imageReferences.length > 0) {
|
||||
result += '\n\n## 图片内容\n\n'
|
||||
imageReferences.forEach(imagePath => {
|
||||
result += `\n\n`
|
||||
})
|
||||
}
|
||||
|
||||
private async callMcpToolConvertVideo(url: string, mcpHub: McpHub | null): Promise<string> {
|
||||
// TODO: implement
|
||||
return ''
|
||||
return result
|
||||
}
|
||||
|
||||
private async callMcpToolFetchUrlContent(url: string, mcpHub: McpHub | null): Promise<string> {
|
||||
// TODO: implement
|
||||
return ''
|
||||
private async callMcpToolConvertDocument(file: TFile, mcpHub: McpHub): Promise<string> {
|
||||
// 读取文件的二进制内容并转换为Base64
|
||||
const fileBuffer = await this.app.vault.readBinary(file)
|
||||
|
||||
// 安全地转换为Base64，避免堆栈溢出
|
||||
const uint8Array = new Uint8Array(fileBuffer)
|
||||
let binaryString = ''
|
||||
const chunkSize = 8192 // 处理块大小
|
||||
|
||||
for (let i = 0; i < uint8Array.length; i += chunkSize) {
|
||||
const chunk = uint8Array.slice(i, i + chunkSize)
|
||||
binaryString += String.fromCharCode.apply(null, Array.from(chunk))
|
||||
}
|
||||
|
||||
private async callMcpToolConvertDocument(file: TFile, mcpHub: McpHub | null): Promise<string> {
|
||||
// TODO: implement
|
||||
return ''
|
||||
const base64Content = btoa(binaryString)
|
||||
|
||||
// 提取文件扩展名（不带点）
|
||||
const fileType = file.extension
|
||||
|
||||
const response = await mcpHub.callTool(
|
||||
'infio-builtin-server',
|
||||
'CONVERT_DOCUMENT',
|
||||
{
|
||||
file_content: base64Content,
|
||||
file_type: fileType
|
||||
}
|
||||
)
|
||||
|
||||
// 处理图片内容并获取图片引用
|
||||
await this.processImagesInResponse(response.content)
|
||||
|
||||
const textContent = response.content.find((c) => c.type === 'text')
|
||||
const result = textContent?.text as string || ''
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
/**
|
||||
* 为文件内容创建Markdown文件
|
||||
*/
|
||||
private async createMarkdownFileForContent(
|
||||
originalPath: string,
|
||||
content: string,
|
||||
isWebsite: boolean = false,
|
||||
websiteTitle?: string
|
||||
): Promise<string> {
|
||||
try {
|
||||
let targetPath: string
|
||||
|
||||
if (isWebsite) {
|
||||
// 网页内容保存到根目录
|
||||
const fileName = this.sanitizeFileName(websiteTitle || 'website')
|
||||
targetPath = `${fileName}.md`
|
||||
} else {
|
||||
// 如果原文件已经是.md文件，直接返回原路径，不重复创建
|
||||
if (originalPath.endsWith('.md')) {
|
||||
return originalPath
|
||||
}
|
||||
|
||||
// 文件内容保存到同路径下的.md文件
|
||||
const pathWithoutExt = originalPath.replace(/\.[^/.]+$/, "")
|
||||
targetPath = `${pathWithoutExt}.md`
|
||||
}
|
||||
|
||||
// 处理文件名冲突
|
||||
targetPath = await this.getUniqueFilePath(targetPath)
|
||||
|
||||
// 创建文件内容
|
||||
let markdownContent = content
|
||||
if (isWebsite) {
|
||||
markdownContent = `# ${websiteTitle || 'Website Content'}\n\n> Source: ${originalPath}\n\n${content}`
|
||||
} else {
|
||||
markdownContent = `# ${originalPath}\n\n${content}`
|
||||
}
|
||||
|
||||
// 创建文件
|
||||
const file = await this.app.vault.create(targetPath, markdownContent)
|
||||
|
||||
// 在新标签页中打开文件
|
||||
this.app.workspace.getLeaf('tab').openFile(file)
|
||||
|
||||
return file.path
|
||||
} catch (error) {
|
||||
console.error('Failed to create markdown file:', error)
|
||||
return originalPath // 如果创建失败，返回原路径
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 清理文件名，移除不合法字符
|
||||
*/
|
||||
private sanitizeFileName(fileName: string): string {
|
||||
return fileName
|
||||
.replace(/[<>:"/\\|?*]/g, '-') // 替换不合法字符
|
||||
.replace(/\s+/g, '-') // 替换空格
|
||||
.replace(/-+/g, '-') // 合并连续的横线
|
||||
.replace(/^-|-$/g, '') // 移除开头和结尾的横线
|
||||
.substring(0, 100) // 限制长度
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取唯一的文件路径（处理重名冲突）
|
||||
*/
|
||||
private async getUniqueFilePath(targetPath: string): Promise<string> {
|
||||
const normalizedPath = normalizePath(targetPath)
|
||||
|
||||
if (!this.app.vault.getAbstractFileByPath(normalizedPath)) {
|
||||
return normalizedPath
|
||||
}
|
||||
|
||||
const pathParts = normalizedPath.split('.')
|
||||
const extension = pathParts.pop()
|
||||
const basePath = pathParts.join('.')
|
||||
|
||||
let counter = 1
|
||||
let uniquePath: string
|
||||
|
||||
do {
|
||||
uniquePath = `${basePath}-${counter}.${extension}`
|
||||
counter++
|
||||
} while (this.app.vault.getAbstractFileByPath(uniquePath))
|
||||
|
||||
return uniquePath
|
||||
}
|
||||
|
||||
/**
|
||||
* 从网页内容中提取标题
|
||||
*/
|
||||
private extractTitleFromWebsiteContent(content: string, url: string): string {
|
||||
// 尝试从内容中提取标题
|
||||
const titleRegex1 = /^#\s+(.+)$/m
|
||||
const titleRegex2 = /Title:\s*(.+)$/m
|
||||
const titleMatch = titleRegex1.exec(content) || titleRegex2.exec(content)
|
||||
if (titleMatch && titleMatch[1]) {
|
||||
return titleMatch[1].trim()
|
||||
}
|
||||
|
||||
// 如果没有找到标题，使用域名
|
||||
try {
|
||||
return new URL(url).hostname
|
||||
} catch {
|
||||
return 'website'
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理响应中的图片内容，将base64图片保存到Obsidian资源目录
|
||||
*/
|
||||
private async processImagesInResponse(content: Array<{ type: string, data: string, filename: string, mimeType?: string }>): Promise<string[]> {
|
||||
const savedImagePaths: string[] = []
|
||||
|
||||
for (const item of content) {
|
||||
if (item.type === 'image' && item.data && item.filename) {
|
||||
try {
|
||||
const imagePath = await this.saveImageFromBase64(item.data, item.filename, item.mimeType)
|
||||
savedImagePaths.push(imagePath)
|
||||
} catch (error) {
|
||||
console.error('Failed to save image:', error)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return savedImagePaths
|
||||
}
|
||||
|
||||
/**
|
||||
* 将base64图片数据保存为文件到Obsidian资源目录
|
||||
*/
|
||||
private async saveImageFromBase64(base64Data: string, filename: string, mimeType?: string): Promise<string> {
|
||||
// 获取默认资源目录
|
||||
const staticResourceDir = this.app.vault.getConfig("attachmentFolderPath")
|
||||
|
||||
// 构建完整的文件路径
|
||||
const targetPath = staticResourceDir ? normalizePath(`${staticResourceDir}/${filename}`) : filename
|
||||
|
||||
// 处理文件名冲突
|
||||
// const uniquePath = await this.getUniqueFilePath(targetPath)
|
||||
|
||||
try {
|
||||
// 将base64数据转换为ArrayBuffer
|
||||
const binaryString = atob(base64Data)
|
||||
const bytes = new Uint8Array(binaryString.length)
|
||||
for (let i = 0; i < binaryString.length; i++) {
|
||||
bytes[i] = binaryString.charCodeAt(i)
|
||||
}
|
||||
|
||||
// 创建图片文件
|
||||
await this.app.vault.createBinary(targetPath, bytes.buffer)
|
||||
|
||||
console.log(`Image saved: ${targetPath}`)
|
||||
return targetPath
|
||||
} catch (error) {
|
||||
console.error(`Failed to save image to ${targetPath}:`, error)
|
||||
throw error
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
146
styles.css
146
styles.css
@ -986,6 +986,152 @@ input[type='text'].infio-chat-list-dropdown-item-title-input {
|
||||
}
|
||||
}
|
||||
|
||||
/* File Read Results */
|
||||
.infio-file-read-results {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
font-size: var(--font-smaller);
|
||||
padding-top: var(--size-4-1);
|
||||
padding-bottom: var(--size-4-1);
|
||||
user-select: none;
|
||||
|
||||
.infio-file-read-results__trigger {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: var(--size-4-1);
|
||||
padding: var(--size-4-1);
|
||||
border-radius: var(--radius-s);
|
||||
cursor: pointer;
|
||||
&:hover {
|
||||
background-color: var(--background-modifier-hover);
|
||||
}
|
||||
}
|
||||
|
||||
.infio-file-read-item {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: start;
|
||||
gap: var(--size-4-2);
|
||||
padding: var(--size-4-1);
|
||||
border-radius: var(--radius-s);
|
||||
cursor: pointer;
|
||||
|
||||
&:hover {
|
||||
background-color: var(--background-modifier-hover);
|
||||
}
|
||||
|
||||
.infio-file-read-item__icon {
|
||||
flex-shrink: 0;
|
||||
color: var(--text-muted);
|
||||
}
|
||||
|
||||
.infio-file-read-item__info {
|
||||
flex: 1;
|
||||
min-width: 0;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: var(--size-2-1);
|
||||
}
|
||||
|
||||
.infio-file-read-item__name {
|
||||
font-size: var(--font-smallest);
|
||||
font-weight: var(--font-medium);
|
||||
white-space: nowrap;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
}
|
||||
|
||||
.infio-file-read-item__path {
|
||||
font-size: var(--font-smallest);
|
||||
color: var(--text-muted);
|
||||
white-space: nowrap;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
}
|
||||
|
||||
.infio-file-read-item__size {
|
||||
flex-shrink: 0;
|
||||
font-size: var(--font-smallest);
|
||||
color: var(--text-muted);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/* Website Read Results */
|
||||
.infio-website-read-results {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
font-size: var(--font-smaller);
|
||||
padding-top: var(--size-4-1);
|
||||
padding-bottom: var(--size-4-1);
|
||||
user-select: none;
|
||||
|
||||
.infio-website-read-results__trigger {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: var(--size-4-1);
|
||||
padding: var(--size-4-1);
|
||||
border-radius: var(--radius-s);
|
||||
cursor: pointer;
|
||||
&:hover {
|
||||
background-color: var(--background-modifier-hover);
|
||||
}
|
||||
}
|
||||
|
||||
.infio-website-read-item {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: start;
|
||||
gap: var(--size-4-2);
|
||||
padding: var(--size-4-1);
|
||||
border-radius: var(--radius-s);
|
||||
cursor: pointer;
|
||||
|
||||
&:hover {
|
||||
background-color: var(--background-modifier-hover);
|
||||
}
|
||||
|
||||
.infio-website-read-item__icon {
|
||||
flex-shrink: 0;
|
||||
color: var(--text-muted);
|
||||
}
|
||||
|
||||
.infio-website-read-item__info {
|
||||
flex: 1;
|
||||
min-width: 0;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: var(--size-2-1);
|
||||
}
|
||||
|
||||
.infio-website-read-item__domain {
|
||||
font-size: var(--font-smallest);
|
||||
font-weight: var(--font-medium);
|
||||
color: var(--text-accent);
|
||||
}
|
||||
|
||||
.infio-website-read-item__url {
|
||||
font-size: var(--font-smallest);
|
||||
color: var(--text-muted);
|
||||
white-space: nowrap;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
}
|
||||
|
||||
.infio-website-read-item__actions {
|
||||
flex-shrink: 0;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: var(--size-4-1);
|
||||
}
|
||||
|
||||
.infio-website-read-item__size {
|
||||
font-size: var(--font-smallest);
|
||||
color: var(--text-muted);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
* LLM Info
|
||||
*/
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user