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【智能助手增强】

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- 新增对话历史管理：MongoDB新增conversations集合，存储用户与AI的对话上下文，支持多轮对话意图延续
- 新增对话历史API（conversation.py）：GET/DELETE conversation历史、列出所有会话
- 意图解析增强：支持基于对话历史的意图识别，上下文理解更准确
- 字段提取优化：支持"提取文档中的医院数量"等自然语言模式，智能去除"文档中的"前缀
- 文档对比优化：从指令中提取文件名并精确匹配source_docs，支持"对比A和B两个文档"
- 文档摘要优化：使用LLM生成真实AI摘要而非返回原始文档预览

【Word模板填表核心功能】
- Word模板字段生成：空白Word上传后，自动从源文档（Excel/Word/TXT/MD）内容AI生成字段名
- Word模板填表（_fill_docx）：将提取数据写入Word模板表格，支持精确匹配、模糊匹配、追加新行
- 数据润色（_polish_word_filled_data）：LLM对多行Excel数据进行统计归纳（合计/平均/极值），转化为专业自然语言描述
- 段落格式输出：使用📌字段名+值段落+分隔线（灰色横线）格式，提升可读性
- 导出链打通：fill_template返回filled_file_path，export直接返回已填好的Word文件

【其他修复】
- 修复Word导出Windows文件锁问题：NamedTemporaryFile改为mkstemp+close
- 修复Word方框非法字符：扩展clean_text移除\uFFFD、□等Unicode替代符和零宽字符
- 修复文档对比"需要至少2个文档"：从指令提取具体文件名优先匹配而非取前2个
- 修复导出format硬编码：自动识别docx/xlsx格式
- Docx解析器增加备用解析方法和更完整的段落/表格/标题提取
- RAG服务新增MySQL数据源支持
This commit is contained in:
dj
2026-04-15 23:32:55 +08:00
parent 9e7f9df384
commit e5d4724e82
19 changed files with 2185 additions and 407 deletions
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102
frontend/src/pages/InstructionChat.tsx
View File

@@ -1,26 +1,10 @@
import React, { useState, useRef, useEffect } from 'react';
import {
Send,
Bot,
User,
Sparkles,
Trash2,
RefreshCcw,
FileText,
TableProperties,
ChevronRight,
ArrowRight,
Loader2,
Download,
Search,
MessageSquare,
CheckCircle
} from 'lucide-react';
import { Send, Bot, User, Sparkles, Trash2, FileText, TableProperties, ArrowRight, Search, MessageSquare } from 'lucide-react';
import { Button } from '@/components/ui/button';
import { Input } from '@/components/ui/input';
import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
import { ScrollArea } from '@/components/ui/scroll-area';
import { Badge } from '@/components/ui/badge';
import { Markdown } from '@/components/ui/markdown';
import { backendApi } from '@/db/backend-api';
import { toast } from 'sonner';
import { cn } from '@/lib/utils';
@@ -39,8 +23,21 @@ const InstructionChat: React.FC = () => {
const [input, setInput] = useState('');
const [loading, setLoading] = useState(false);
const [currentDocIds, setCurrentDocIds] = useState<string[]>([]);
const [conversationId, setConversationId] = useState<string>('');
const scrollAreaRef = useRef<HTMLDivElement>(null);
// 初始化会话ID
useEffect(() => {
const storedId = localStorage.getItem('chat_conversation_id');
if (storedId) {
setConversationId(storedId);
} else {
const newId = `conv_${Date.now()}_${Math.random().toString(36).substring(7)}`;
setConversationId(newId);
localStorage.setItem('chat_conversation_id', newId);
}
}, []);
useEffect(() => {
// Initial welcome message
if (messages.length === 0) {
@@ -119,7 +116,8 @@ const InstructionChat: React.FC = () => {
// 使用真实的智能指令 API
const response = await backendApi.instructionChat(
input.trim(),
currentDocIds.length > 0 ? currentDocIds : undefined
currentDocIds.length > 0 ? currentDocIds : undefined,
{ conversation_id: conversationId }
);
// 根据意图类型生成友好响应
@@ -135,11 +133,12 @@ const InstructionChat: React.FC = () => {
responseContent = `✅ 已提取到 ${keys.length} 个字段的数据：\n\n`;
for (const [key, value] of Object.entries(extracted)) {
const values = Array.isArray(value) ? value : [value];
responseContent += `**${key}**: ${values.slice(0, 3).join(', ')}${values.length > 3 ? '...' : ''}\n`;
const displayValues = values.length > 10 ? values.slice(0, 10).join(', ') + ` ...（共${values.length}条）` : values.join(', ');
responseContent += `**${key}**: ${displayValues}\n`;
}
responseContent += `\n💡 您可以将这些数据填入表格。`;
responseContent += `\n💡 可直接使用以上数据，或说"填入表格"继续填表操作。`;
} else {
responseContent = '未能从文档中提取到相关数据。请尝试更明确的字段名称。';
responseContent = resultData?.message || '未能从文档中提取到相关数据。请尝试更明确的字段名称。';
}
break;
@@ -151,24 +150,24 @@ const InstructionChat: React.FC = () => {
responseContent = `✅ 填表完成！成功填写 ${filledKeys.length} 个字段：\n\n`;
for (const [key, value] of Object.entries(filled)) {
const values = Array.isArray(value) ? value : [value];
responseContent += `**${key}**: ${values.slice(0, 3).join(', ')}\n`;
const displayValues = values.length > 10 ? values.slice(0, 10).join(', ') + ` ...（共${values.length}条）` : values.join(', ');
responseContent += `**${key}**: ${displayValues}\n`;
}
responseContent += `\n📋 请到【智能填表】页面查看或导出结果。`;
} else {
responseContent = '填表未能提取到数据。请检查模板表头和数据源内容。';
responseContent = resultData?.message || '填表未能提取到数据。请检查模板表头和数据源内容。';
}
break;
case 'summarize':
// 摘要结果
const summaries = resultData?.summaries || [];
if (summaries.length > 0) {
responseContent = `📄 找到 ${summaries.length} 个文档的摘要：\n\n`;
summaries.forEach((s: any, idx: number) => {
responseContent += `**${idx + 1}. ${s.filename}**\n${s.content_preview}\n\n`;
});
if (resultData?.action_needed === 'provide_document' || resultData?.action_needed === 'upload_document') {
responseContent = `📋 ${resultData.message}\n\n${resultData.suggestion || ''}`;
} else if (resultData?.ai_summary) {
// AI 生成的摘要
responseContent = `📄 **${resultData.filename}** 摘要分析：\n\n${resultData.ai_summary}`;
} else {
responseContent = '未能生成摘要。请确保已上传文档。';
responseContent = resultData?.message || '未能生成摘要。请确保已上传文档。';
}
break;
@@ -176,8 +175,10 @@ const InstructionChat: React.FC = () => {
// 问答结果
if (resultData?.answer) {
responseContent = `**问题**: ${resultData.question}\n\n**答案**: ${resultData.answer}`;
} else if (resultData?.context_preview) {
responseContent = `**问题**: ${resultData.question}\n\n**相关上下文**：\n${resultData.context_preview}`;
} else {
responseContent = resultData?.message || '我找到了相关信息，请查看上文。';
responseContent = resultData?.message || '请先上传文档，我才能回答您的问题。';
}
break;
@@ -207,8 +208,35 @@ const InstructionChat: React.FC = () => {
}
break;
case 'edit':
// 文档编辑结果
if (resultData?.edited_content) {
responseContent = `✏️ **${resultData.original_filename}** 编辑完成：\n\n${resultData.edited_content.substring(0, 500)}${resultData.edited_content.length > 500 ? '\n\n...(内容已截断)' : ''}`;
} else {
responseContent = resultData?.message || '编辑完成。';
}
break;
case 'transform':
// 格式转换结果
if (resultData?.excel_data) {
responseContent = `🔄 格式转换完成！\n\n已转换为 **Excel** 格式，共 **${resultData.excel_data.length}** 行数据。\n\n${resultData.message || ''}`;
} else if (resultData?.content) {
responseContent = `🔄 格式转换完成！\n\n目标格式: **${resultData.target_format?.toUpperCase()}**\n\n${resultData.message || ''}`;
} else {
responseContent = resultData?.message || '格式转换完成。';
}
break;
case 'unknown':
responseContent = `我理解您想要： "${input.trim()}"\n\n但我目前无法完成此操作。您可以尝试：\n\n1. **提取数据**: "提取医院数量和床位数"\n2. **填表**: "根据这些数据填表"\n3. **总结**: "总结这份文档"\n4. **问答**: "文档里说了什么？"\n5. **搜索**: "搜索相关内容"`;
// 检查是否需要用户上传文档
if (resultData?.suggestion) {
responseContent = resultData.suggestion;
} else if (resultData?.message && resultData.message !== '无法理解该指令，请尝试更明确的描述') {
responseContent = resultData.message;
} else {
responseContent = `我理解您想要： "${input.trim()}"\n\n请尝试以下操作：\n\n1. **提取数据**: "提取医院数量和床位数"\n2. **填表**: "根据这些数据填表"\n3. **总结**: "总结这份文档"\n4. **问答**: "文档里说了什么？"\n5. **搜索**: "搜索相关内容"`;
}
break;
default:
@@ -299,9 +327,11 @@ const InstructionChat: React.FC = () => {
? "bg-primary text-primary-foreground shadow-xl shadow-primary/20 rounded-tr-none"
: "bg-white border border-border/50 shadow-md rounded-tl-none"
)}>
<p className="text-sm leading-relaxed whitespace-pre-wrap font-medium">
{m.content}
</p>
{m.role === 'assistant' ? (
<Markdown content={m.content} className="text-sm leading-relaxed prose prose-sm max-w-none" />
) : (
<p className="text-sm leading-relaxed whitespace-pre-wrap font-medium">{m.content}</p>
)}
<span className={cn(
"text-[10px] block opacity-50 font-bold tracking-widest",
m.role === 'user' ? "text-right" : "text-left"