Developer
0a9588abb7
- Add pagination support to findAll (page, limit query params) - Add findByTemplateId method to service - Add GET /by-template/:templateId endpoint to controller - Service already includes CRUD for QuestionBank and QuestionBankItem
133 lines
18 KiB
JSON
133 lines
18 KiB
JSON
{
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"console.log('Final LLM model used (default):', llmModel ? llmModel.name : '无');": "console.log('Final LLM model used (default):', llmModel ? llmModel.name : '无');",
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"`data: ${JSON.stringify({ type: 'error', data: '请在模型管理中添加LLM模型并配置API密钥' })}\\n\\n`,": "`data: ${JSON.stringify({ type: 'error', data: 'Please add LLM model and configure API key in model management' })}\\n\\n`,",
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"`data: ${JSON.stringify({ type: 'error', data: error.message || '服务器错误' })}\\n\\n`,": "`data: ${JSON.stringify({ type: 'error', data: error.message || 'Server Error' })}\\n\\n`,",
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"`data: ${JSON.stringify({ type: 'error', data: '未找到LLM模型配置' })}\\n\\n`,": "`data: ${JSON.stringify({ type: 'error', data: 'LLM model configuration not found' })}\\n\\n`,",
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"console.log('ユーザーID:', userId);": "console.log('User ID:', userId);",
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"console.log('API Key プレフィックス:', modelConfig.apiKey?.substring(0, 10) + '...');": "console.log('API Key prefix:', modelConfig.apiKey?.substring(0, 10) + '...');",
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"提供されたテキスト内容を、ユーザーの指示に基づいて修正または改善してください。": "Correct or improve the provided text content based on your instructions.",
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"挨拶や結びの言葉（「わかりました、こちらが...」など）は含めず、修正後の内容のみを直接出力してください。": "Please do not include any greetings or closing words (such as \"Okay, this is...\") and directly output only the revised content.",
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"コンテキスト（現在の内容）：": "Context (current contents):",
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"ユーザーの指示：": "User instructions:",
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"1. **段落与结构**：": "1. **Paragraph and Structure**:",
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"- 使用清晰的段落分隔，每个要点之间空一行": "- Use clear paragraph separation with a blank line between each bullet point",
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"- 使用标题（## 或 ###）组织长回答": "- Use headings (## or ###) to organize long answers",
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"2. **文本格式**：": "2. **Text Format**:",
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"- 使用 **粗体** 强调重要概念和关键词": "- Use **bold** to emphasize important concepts and keywords",
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"- 使用列表（- 或 1.）组织多个要点": "- Use lists (- or 1.) to organize multiple points",
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"- 使用 \\`代码\\` 标记技术术语、命令、文件名": "- Use \\`code\\` to mark technical terms, commands, file names",
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"3. **代码展示**：": "3. **Code display**:",
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"- 使用代码块展示代码，并指定语言：": "- Use code blocks to display code and specify the language:",
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"return \"示例\"": "return \"example\"",
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"- 支持语言：python, javascript, typescript, java, bash, sql 等": "- Supported languages: python, javascript, typescript, java, bash, sql, etc.",
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"4. **图表与可视化**：": "4. **Charts and Visualization**:",
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"- 使用 Mermaid 语法绘制流程图、序列图等：": "- Use Mermaid syntax to draw flowcharts, sequence diagrams, etc.:",
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"A[开始] --> B[处理]": "A[Start] --> B[Process]",
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"B --> C[结束]": "B --> C[end]",
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"- 适用场景：流程、架构、状态机、时序图": "- Applicable scenarios: process, architecture, state machine, sequence diagram",
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"5. **其他要求**：": "5. **Other requirements**:",
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"- 回答精炼准确": "- Answer concisely and accurately",
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"- 多步骤操作使用有序列表": "- Use ordered lists for multi-step operations",
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"- 对比类信息建议用表格展示（如果适用）": "- It is recommended to display comparative information in tables (if applicable)",
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"ナレッジベースの内容：": "Knowledge base contents:",
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"会話履歴：": "Conversation history:",
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"ユーザーの質問：{question}": "User question: {question}",
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"1. **段落と構造**：": "1. **Paragraphs and Structure**:",
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"- 明確な段落分けを使用し、要点間に空行を入れる": "- Use clear paragraphing and leave blank lines between main points",
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"- 長い回答には見出し（## または ###）を使用": "- Use headings (## or ###) for long answers",
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"2. **テキスト書式**：": "2. **Text Format**:",
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"- 重要な概念やキーワードを強調するために **太字** を使用": "- Use **bold** to highlight important concepts and keywords",
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"- 複数のポイントを整理するためにリスト（- または 1.）を使用": "- Use lists (- or 1.) to organize multiple points",
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"- 技術用語、コマンド、ファイル名をマークするために \\`コード\\` を使用": "- Use \\`code\\` to mark technical terms, commands, and file names",
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"3. **コード表示**：": "3. **Code display**:",
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"- 言語を指定してコードブロックを使用：": "- Use code blocks by specifying language:",
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"return \"例\"": "return \"Example\"",
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"- 対応言語：python, javascript, typescript, java, bash, sql など": "- Supported languages: python, javascript, typescript, java, bash, sql, etc.",
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"4. **図表とチャート**：": "4. **Diagrams and Charts**:",
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"- フローチャート、シーケンス図などに Mermaid 構文を使用：": "- Use Mermaid syntax for flowcharts, sequence diagrams, etc:",
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"A[開始] --> B[処理]": "A[Start] --> B[Process]",
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"B --> C[終了]": "B --> C[End]",
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"- 使用例：プロセスフロー、アーキテクチャ図、状態図、シーケンス図": "- Usage examples: process flow, architecture diagram, state diagram, sequence diagram",
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"5. **その他の要件**：": "5. **Other Requirements**:",
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"- 簡潔で明確な回答を心がける": "- Keep your answers concise and clear",
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"- 複数のステップがある場合は番号付きリストを使用": "- Use numbered lists when there are multiple steps",
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"- 比較情報には表を使用（該当する場合）": "- Use tables for comparative information (if applicable)",
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"インテリジェントアシスタントとして、ユーザーの質問に答えてください。": "Become an intelligent assistant and answer users' questions.",
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"只返回标题文本。不要包含任何解释性文字或前导词（如“标题是：”）。": "Only the title text is returned. Do not include any explanatory text or leading words (such as \"The title is:\").",
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"语言：Chinese": "Language: Chinese",
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"文本内容：": "Text content:",
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"タイトルテキストのみを返してください。説明文や前置き（例：「タイトルは：」）は含めないでください。": "Please return only the title text. Do not include descriptive text or prefaces (e.g. \"The title is:\").",
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"言語：Japanese": "Language: Japanese",
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"テキスト：": "text:",
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"return `根据以下对话片段，生成一个简短、描述性的标题（不超过50个字符），总结讨论的主题。": "return `Based on the following conversation snippet, generate a short, descriptive title (no more than 50 characters) summarizing the topic of the discussion.",
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"只返回标题文本。不要包含任何前导词。": "Only the title text is returned. Do not include any leading words.",
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"用户: ${userMessage}": "User: ${userMessage}",
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"助手: ${aiResponse}`;": "Helper: ${aiResponse}`;",
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"return `以下の会話スニペットに基づいて、トピックを要約する短く説明的なタイトル（最大50文字）を生成してください。": "return `Generate a short, descriptive title (up to 50 characters) that summarizes the topic based on the conversation snippet below.",
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"タイトルのみを返してください。前置きは不要です。": "Please return only the title. No preface necessary.",
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"ユーザー: ${userMessage}": "User: ${userMessage}",
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"アシスタント: ${aiResponse}`;": "Assistant: ${aiResponse}`;",
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"const providerName = modelConfig.providerName || '不明';": "const providerName = modelConfig.providerName || '不明';",
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"` - プロバイダー: ${providerName}\\n` +": "` - Provider: ${providerName}\\n` +",
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"` - Token制限: ${maxInputTokens}\\n` +": "` - Token limit: ${maxInputTokens}\\n` +",
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"` - ベクトルモデルか: ${isVectorModel}`,": "` - Vector model: ${isVectorModel}`,",
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"`Chunk size: ${chunkSize} tokens (制限: ${limits.maxInputTokens})`,": "`Chunk size: ${chunkSize} tokens (制限: ${limits.maxInputTokens})`,",
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"`重なりサイズ: ${chunkOverlap} tokens`,": "`Overlap size: ${chunkOverlap} tokens`,",
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"`バッチサイズ: ${limits.maxBatchSize}`,": "`Batch size: ${limits.maxBatchSize}`,",
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"throw new Error(`埋め込みモデル設定 ${embeddingModelConfigId} が見つかりません`);": "throw new Error(`Embedded model configuration ${embeddingModelConfigId} not found`);",
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"throw new Error(`モデル ${modelConfig.name} は無効化されているため、埋め込みベクトルを生成できません`);": "throw new Error(`Unable to generate embedding vector because model ${modelConfig.name} is disabled`);",
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"throw new Error(`モデル ${modelConfig.name} に baseUrl が設定されていません`);": "throw new Error(`baseUrl not set for model ${modelConfig.name}`);",
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"`総計 ${totalLength} 文字、平均 ${Math.round(avgLength)} 文字、` +": "`Total ${totalLength} characters, average ${Math.round(avgLength)} characters, ` +",
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"`モデル制限: ${modelConfig.maxInputTokens || 8192} tokens`": "`Model limit: ${modelConfig.maxInputTokens || 8192} tokens`",
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"`テキスト長がモデルの制限。` +": "`Text length is a limitation of the model. ` +",
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"`現在: ${texts.length} 個のテキストで計 ${totalLength} 文字、` +": "`Currently: ${texts.length} texts totaling ${totalLength} characters, ` +",
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"`モデル制限: ${modelConfig.maxInputTokens || 8192} tokens。` +": "`Model limit: ${modelConfig.maxInputTokens || 8192} tokens. ` +",
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"`アドバイス: Chunk sizeまたはバッチサイズを小さくしてください`": "`Advice: Reduce chunk size or batch size`",
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"this.logger.error(`リクエストパラメータ: model=${modelConfig.modelId}, inputLength=${texts[0]?.length}`);": "this.logger.error(`Request parameters: model=${modelConfig.modelId}, inputLength=${texts[0]?.length}`);",
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"throw new Error(`埋め込み API の呼び出しに失敗しました: ${response.statusText} - ${errorText}`);": "throw new Error(`Embedded API call failed: ${response.statusText} - ${errorText}`);",
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"if (error.message && (error.message.includes('context length') || error.message.includes('コンテキスト長 exceeds limit ') || error.message.includes('コンテキスト長 exceeds limit '))) {": "if (error.message && (error.message.includes('context length') || error.message.includes('context length exceeds limit ') || error.message.includes('context length exceeds limit '))) {",
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"throw new NotFoundException('ファイルが存在しません');": "throw new NotFoundException('File does not exist');",
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"throw new Error(`メモリ待機がタイムアウトしました: 現在 ${this.getMemoryUsage().heapUsed}MB > ${this.MAX_MEMORY_MB * 0.85}MB`);": "throw new Error(`Memory wait timed out: Currently ${this.getMemoryUsage().heapUsed}MB > ${this.MAX_MEMORY_MB * 0.85}MB`);",
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"throw new Error(`ファイルが存在しません: ${filePath}`);": "throw new Error(`File does not exist: ${filePath}`);",
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"throw new Error('変換がタイムアウトしました。ファイルが大きすぎる可能性があります');": "throw new Error('Conversion timed out. File may be too large');",
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"throw new Error(`変換に失敗しました: ${detail}`);": "throw new Error(`Conversion failed: ${detail}`);",
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"throw new Error(`変換に失敗しました: ${lastError.message}`);": "throw new Error(`Conversion failed: ${lastError.message}`);",
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"throw new Error('LibreOffice サービスが実行されていません。サービスの状態を確認してください');": "throw new Error('LibreOffice service is not running. Please check the status of the service');",
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"throw new Error('LibreOffice サービスとの接続が切断されました。サービスが不安定である可能性があります');": "throw new Error('The connection to the LibreOffice service has been lost. The service may be unstable');",
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"@Min(1, { message: 'ベクトル次元の最小値は 1 です' })": "@Min(1, { message: 'The minimum value of the vector dimension is 1' })",
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"@Max(4096, { message: 'ベクトル次元の最大値は 4096 です（Elasticsearch の制限）' })": "@Max(4096, { message: 'The maximum vector dimension is 4096 (Elasticsearch limit)' })",
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"throw new Error(`PDF ファイルが存在しません: ${pdfPath}`);": "throw new Error(`PDF file does not exist: ${pdfPath}`);",
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"throw new Error('PDF のページ数を取得できません');": "throw new Error('Unable to get page number of PDF');",
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"throw new Error(`Python での変換に失敗しました: ${result.error}`);": "throw new Error(`Python conversion failed: ${result.error}`);",
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"throw new Error(`PDF から画像への変換に失敗しました: ${error.message}`);": "throw new Error(`PDF to image conversion failed: ${error.message}`);",
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"throw new Error('Embedding model IDが提供されていません');": "throw new Error('Embedding model ID not provided');",
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"return { message: '对话历史删除成功' };": "return { message: 'Conversation history deleted successfully' };",
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"`ユーザー ${req.user.id} がファイルをアップロードしました: ${file.originalname} (${this.formatBytes(file.size)})`,": "`User ${req.user.id} uploaded file: ${file.originalname} (${this.formatBytes(file.size)})`,",
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"console.log('パスワード:', randomPassword);": "console.log('Password:', randomPassword);",
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"console.log('=== updateLanguage デバッグ ===');": "console.log('=== updateLanguage Debug ===');",
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"console.log('=== getLanguage デバッグ ===');": "console.log('=== getLanguage Debug ===');",
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"page: pageIndex ? ` (第 ${pageIndex} ページ)` : '',": "page: pageIndex ? ` (th page ${pageIndex})` : '',",
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"if (errorCode === 429 || errorMessage.includes('rate limit') || errorMessage.includes('リクエストが多すぎます')) {": "if (errorCode === 429 || errorMessage.includes('rate limit') || errorMessage.includes('Too many requests')) {",
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"return { isGood: false, reason: `ファイルが小さすぎます (${sizeKB.toFixed(2)}KB)`, score: 0 };": "return { isGood: false, reason: `File is too small (${sizeKB.toFixed(2)}KB)`, score: 0 };",
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"return { isGood: false, reason: `ファイルが大きすぎます (${sizeKB.toFixed(2)}KB)`, score: 0 };": "return { isGood: false, reason: `File is too large (${sizeKB.toFixed(2)}KB)`, score: 0 };",
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"reason: `クォータ不足: 残り $${quota.remaining.toFixed(2)}, 必要 $${estimatedCost.toFixed(2)}`,": "reason: `Insufficient quota: remaining $${quota.remaining.toFixed(2)}, required $${estimatedCost.toFixed(2)}`,",
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"throw new Error(`ユーザー ${userId} は存在しません`);": "throw new Error(`User ${userId} does not exist`);",
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"message: `⚠️ クォータ使用率が ${usagePercent.toFixed(1)}% に達しました。残り $${quota.remaining.toFixed(2)}`,": "message: `⚠️ Quota usage has reached ${usagePercent.toFixed(1)}%. Remaining $${quota.remaining.toFixed(2)}`,",
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"message: `💡 クォータ使用率 ${usagePercent.toFixed(1)}%。コストの管理に注意してください`,": "message: `💡 Quota usage ${usagePercent.toFixed(1)}%. Be careful with controlling costs`,",
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"return `${seconds.toFixed(0)}秒`;": "return `${seconds.toFixed(0)}秒`;",
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"return `${minutes}分${remainingSeconds.toFixed(0)}秒`;": "return `${minutes}分${remainingSeconds.toFixed(0)}秒`;",
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"this.updateStatus('converting', 10, 'ドキュメント形式を変換中...');": "this.updateStatus('converting', 10, 'Converting document format...');",
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"this.updateStatus('splitting', 30, 'PDF を画像に変換中...');": "this.updateStatus('splitting', 30, 'Converting PDF to image...');",
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"throw new Error('PDF から画像への変換に失敗しました。画像が生成されませんでした');": "throw new Error('PDF to image conversion failed. No image was generated');",
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"this.updateStatus('checking', 40, 'クォータを確認し、コストを見積もり中...');": "this.updateStatus('checking', 40, 'Checking quotas and estimating costs...');",
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"this.updateStatus('analyzing', 50, 'ビジョンモデルを使用してページをAnalyzing...');": "this.updateStatus('analyzing', 50, 'Analyzing the page using the vision model...');",
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"this.updateStatus('completed', 100, '処理が完了しました。一時ファイルをクリーンアップ中...');": "this.updateStatus('completed', 100, 'Processing completed. Cleaning up temporary files...');",
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"throw new Error(`モデル設定が見つかりません: ${modelId}`);": "throw new Error(`Model configuration not found: ${modelId}`);",
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"reason: `サポートされていないファイル形式です: ${ext}`,": "reason: `Unsupported file format: ${ext}`,",
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"warnings: ['Fast Mode（テキスト抽出のみ）を使用します'],": "warnings: ['Using Fast Mode (text extraction only)'],",
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"reason: `形式 ${ext} はPrecise Modeをサポートしていません`,": "reason: `Format ${ext} does not support Precise Mode`,",
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"reason: 'ファイルが大きいため、完全な情報を保持するためにPrecise Modeを推奨します',": "reason: 'Due to large files, Precise Mode is recommended to retain complete information',",
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"warnings: ['処理時間が長くなる可能性があります', 'API 費用が発生します'],": "warnings: ['Processing time may be longer', 'API charges may apply'],",
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"reason: 'Precise Modeが利用可能です。テキストと画像の混合コンテンツを保持できます',": "reason: 'Precise Mode is available. Can hold mixed content of text and images',",
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"warnings: ['API 費用が発生します'],": "warnings: ['API charges will apply'],"
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} |