支持从数据库读取文档进行AI分析

新增 doc_id 参数支持从数据库读取文档内容,同时保留文件上传功能,
实现两种方式的灵活切换。修改了 Markdown、TXT 和 Word 文档的分析接口,
添加从数据库获取文档的逻辑,并相应更新前端 API 调用。

BREAKING CHANGE: 分析接口现在支持文件上传和数据库文档 ID 两种方式
This commit is contained in:
2026-04-16 19:43:43 +08:00
parent 2adf9aef60
commit c2f50d3bd8
5 changed files with 762 additions and 120 deletions

View File

@@ -1279,15 +1279,21 @@ export const aiApi = {
* 上传并使用 AI 分析 Markdown 文件
*/
async analyzeMarkdown(
file: File,
file: File | null,
options: {
docId?: string;
analysisType?: MarkdownAnalysisType;
userPrompt?: string;
sectionNumber?: string;
} = {}
): Promise<AIMarkdownAnalyzeResult> {
const formData = new FormData();
formData.append('file', file);
if (file) {
formData.append('file', file);
}
if (options.docId) {
formData.append('doc_id', options.docId);
}
const params = new URLSearchParams();
if (options.analysisType) {
@@ -1432,7 +1438,8 @@ export const aiApi = {
* 上传并使用 AI 分析 TXT 文本文件,提取结构化数据或生成图表
*/
async analyzeTxt(
file: File,
file: File | null,
docId: string | null = null,
analysisType: TxtAnalysisType = 'structured'
): Promise<{
success: boolean;
@@ -1442,7 +1449,12 @@ export const aiApi = {
error?: string;
}> {
const formData = new FormData();
formData.append('file', file);
if (file) {
formData.append('file', file);
}
if (docId) {
formData.append('doc_id', docId);
}
const params = new URLSearchParams();
params.append('analysis_type', analysisType);
@@ -1572,7 +1584,8 @@ export const aiApi = {
* 使用 AI 解析 Word 文档,提取结构化数据或生成图表
*/
async analyzeWordWithAI(
file: File,
file: File | null,
docId: string | null = null,
userHint: string = '',
analysisType: WordAnalysisType = 'structured'
): Promise<{
@@ -1583,7 +1596,12 @@ export const aiApi = {
error?: string;
}> {
const formData = new FormData();
formData.append('file', file);
if (file) {
formData.append('file', file);
}
if (docId) {
formData.append('doc_id', docId);
}
if (userHint) {
formData.append('user_hint', userHint);
}

View File

@@ -10,7 +10,7 @@ import {
ChevronDown,
ChevronUp,
FileSpreadsheet,
File,
File as FileIcon,
Table,
CheckCircle,
AlertCircle,
@@ -123,6 +123,17 @@ const Documents: React.FC = () => {
const [ragResults, setRagResults] = useState<any[]>([]);
const [ragRebuilding, setRagRebuilding] = useState(false);
// 选中的文档详情
const [selectedDocument, setSelectedDocument] = useState<{
doc_id: string;
original_filename: string;
doc_type: string;
content?: string;
structured_data?: any;
metadata?: any;
} | null>(null);
const [loadingDocument, setLoadingDocument] = useState(false);
// 解析选项
const [parseOptions, setParseOptions] = useState({
parseAllSheets: false,
@@ -277,6 +288,33 @@ const Documents: React.FC = () => {
return { ...s, status: 'failed', progress: 0, error: fileResult?.error || '处理失败' };
}
}));
// 设置第一个成功文件的 uploadedFile
const firstSuccessIdx = fileResults.findIndex((fr: any) => fr?.success);
if (firstSuccessIdx >= 0 && acceptedFiles[firstSuccessIdx]) {
const firstFile = acceptedFiles[firstSuccessIdx];
const firstResult = fileResults[firstSuccessIdx];
const ext = firstFile.name.split('.').pop()?.toLowerCase();
// 设置 uploadedFile
setUploadedFile(firstFile);
// 对于 Excel 文件,获取 parseResult
if (ext === 'xlsx' || ext === 'xls') {
// 调用 parseDocument 获取 parseResult
if (firstResult?.file_path) {
try {
const parseResult = await backendApi.parseDocument(firstResult.file_path);
if (parseResult.success) {
setParseResult(parseResult as any);
}
} catch (parseErr) {
console.warn('获取 parseResult 失败:', parseErr);
}
}
}
}
loadDocuments();
return;
} else if (status.status === 'failure') {
@@ -455,24 +493,79 @@ const Documents: React.FC = () => {
// 基于 AI 分析生成图表
const handleGenerateCharts = async () => {
if (!aiAnalysis || !aiAnalysis.success) {
// 检查是否有任何 AI 分析结果
const hasExcelAI = aiAnalysis?.success;
const hasMdAI = mdAnalysis?.success;
const hasWordAI = wordAnalysis?.success;
const hasTxtAI = txtAnalysis?.success;
if (!hasExcelAI && !hasMdAI && !hasWordAI && !hasTxtAI) {
toast.error('请先进行 AI 分析');
return;
}
// 如果是 Markdown 分析已有图表,直接显示
if (hasMdAI && mdAnalysis?.chart_data?.tables) {
setAnalysisCharts({
success: true,
charts: { tables: mdAnalysis.chart_data.tables },
statistics: mdAnalysis.chart_data.key_statistics
});
toast.success('图表生成完成');
return;
}
// 如果是 Word 分析已有图表,直接显示
if (hasWordAI && wordAnalysis?.result?.charts) {
setAnalysisCharts({
success: true,
charts: wordAnalysis.result.charts,
statistics: wordAnalysis.result.statistics
});
toast.success('图表生成完成');
return;
}
// 如果是 TXT 分析已有图表,直接显示
if (hasTxtAI && txtAnalysis?.result?.charts) {
setAnalysisCharts({
success: true,
charts: txtAnalysis.result.charts,
statistics: txtAnalysis.result.statistics
});
toast.success('图表生成完成');
return;
}
// 尝试从各种分析结果中提取文本并生成图表
let analysisText = '';
if (aiAnalysis.analysis?.analysis) {
analysisText = aiAnalysis.analysis.analysis;
} else if (aiAnalysis.analysis?.sheets) {
const sheets = aiAnalysis.analysis.sheets;
if (sheets && Object.keys(sheets).length > 0) {
const firstSheet = Object.keys(sheets)[0];
analysisText = sheets[firstSheet]?.analysis || '';
let fileType = 'unknown';
if (hasExcelAI) {
if (aiAnalysis.analysis?.analysis) {
analysisText = aiAnalysis.analysis.analysis;
fileType = 'excel';
} else if (aiAnalysis.analysis?.sheets) {
const sheets = aiAnalysis.analysis.sheets;
if (sheets && Object.keys(sheets).length > 0) {
const firstSheet = Object.keys(sheets)[0];
analysisText = sheets[firstSheet]?.analysis || '';
fileType = 'excel';
}
}
} else if (hasMdAI && mdAnalysis?.analysis) {
analysisText = mdAnalysis.analysis;
fileType = 'markdown';
} else if (hasWordAI && wordAnalysis?.result?.summary) {
analysisText = wordAnalysis.result.summary;
fileType = 'word';
} else if (hasTxtAI && txtAnalysis?.result?.summary) {
analysisText = txtAnalysis.result.summary;
fileType = 'txt';
}
if (!analysisText?.trim()) {
toast.error('无法获取 AI 分析结果');
toast.error('无法获取 AI 分析文本结果');
return;
}
@@ -483,7 +576,7 @@ const Documents: React.FC = () => {
const result = await aiApi.extractAndGenerateCharts({
analysis_text: analysisText,
original_filename: uploadedFile?.name || 'unknown',
file_type: 'excel'
file_type: fileType
});
if (result.success) {
@@ -601,6 +694,9 @@ const Documents: React.FC = () => {
const result = await backendApi.deleteDocument(docId);
if (result.success) {
setDocuments(prev => prev.filter(d => d.doc_id !== docId));
if (selectedDocument?.doc_id === docId) {
setSelectedDocument(null);
}
toast.success('文档已删除');
}
} catch (err: any) {
@@ -608,6 +704,95 @@ const Documents: React.FC = () => {
}
};
const handleSelectDocument = async (docId: string) => {
setLoadingDocument(true);
try {
const result = await backendApi.getDocument(docId);
if (result.success && result.document) {
setSelectedDocument(result.document);
const doc = result.document;
// 优先使用 file_path 调用 parseDocument 获取完整解析结果
const filePath = doc.metadata?.file_path;
if (filePath) {
try {
const parseResult = await backendApi.parseDocument(filePath);
if (parseResult.success) {
setParseResult(parseResult as any);
const ext = doc.original_filename.split('.').pop()?.toLowerCase() || doc.doc_type;
const fakeFile = new File([], doc.original_filename, { type: getMimeType(ext) });
setUploadedFile(fakeFile);
toast.success('已加载文档: ' + doc.original_filename);
setLoadingDocument(false);
return;
} else {
console.warn('parseDocument returned success:false, using fallback');
}
} catch (parseErr) {
console.warn('parseDocument failed, fallback to structured_data:', parseErr);
}
}
// 后备:使用 structured_data 构建 parseResult
const ext = doc.original_filename.split('.').pop()?.toLowerCase() || doc.doc_type;
const fakeFile = new File([], doc.original_filename, { type: getMimeType(ext) });
if (doc.structured_data) {
const mockParseResult: ExcelParseResult = {
success: true,
data: {},
metadata: {
filename: doc.filename,
original_filename: doc.original_filename,
extension: doc.doc_type,
doc_type: doc.doc_type as any,
file_size: doc.metadata?.file_size || 0,
}
};
if (doc.structured_data.tables && doc.structured_data.tables.length > 0) {
const firstTable = doc.structured_data.tables[0];
mockParseResult.data = {
columns: firstTable.headers || [],
rows: (firstTable.rows || []).map((row: string[]) => {
const obj: Record<string, any> = {};
(firstTable.headers || []).forEach((h: string, i: number) => {
obj[h] = row[i] || '';
});
return obj;
}),
row_count: firstTable.rows?.length || 0,
column_count: firstTable.headers?.length || 0,
};
}
if (doc.structured_data.sheets) {
mockParseResult.data.sheets = doc.structured_data.sheets;
}
setParseResult(mockParseResult);
} else if (doc.content) {
setParseResult({
success: true,
data: { content: doc.content },
metadata: {
filename: doc.filename,
original_filename: doc.original_filename,
extension: doc.doc_type,
doc_type: doc.doc_type as any,
file_size: doc.metadata?.file_size || 0,
}
});
}
setUploadedFile(fakeFile);
toast.success('已加载文档: ' + doc.original_filename);
} else {
toast.error(result.error || '获取文档详情失败');
}
} catch (err: any) {
toast.error(err.message || '获取文档详情失败');
} finally {
setLoadingDocument(false);
}
};
const filteredDocs = documents.filter(doc =>
doc.original_filename.toLowerCase().includes(search.toLowerCase())
);
@@ -621,7 +806,7 @@ const Documents: React.FC = () => {
case 'doc':
return <FileText size={28} />;
default:
return <File size={28} />;
return <FileIcon size={28} />;
}
};
@@ -641,11 +826,17 @@ const Documents: React.FC = () => {
setMdAnalysis(null);
try {
const result = await aiApi.analyzeMarkdown(uploadedFile, {
analysisType: mdAnalysisType,
userPrompt: mdUserPrompt,
sectionNumber: mdSelectedSection || undefined
});
// 判断是从历史文档还是本地上传
const docId = selectedDocument?.doc_id && uploadedFile.size === 0 ? selectedDocument.doc_id : undefined;
const result = await aiApi.analyzeMarkdown(
uploadedFile.size > 0 ? uploadedFile : null,
{
docId: docId || undefined,
analysisType: mdAnalysisType,
userPrompt: mdUserPrompt,
sectionNumber: mdSelectedSection || undefined
}
);
if (result.success) {
toast.success('Markdown AI 分析完成');
@@ -721,8 +912,11 @@ const Documents: React.FC = () => {
setWordAnalysis(null);
try {
// 判断是从历史文档还是本地上传
const docId = selectedDocument?.doc_id && uploadedFile.size === 0 ? selectedDocument.doc_id : null;
const result = await aiApi.analyzeWordWithAI(
uploadedFile,
uploadedFile.size > 0 ? uploadedFile : null,
docId,
wordUserHint,
wordAnalysisType
);
@@ -751,7 +945,13 @@ const Documents: React.FC = () => {
setTxtAnalysis(null);
try {
const result = await aiApi.analyzeTxt(uploadedFile, txtAnalysisType);
// 判断是从历史文档还是本地上传
const docId = selectedDocument?.doc_id && uploadedFile.size === 0 ? selectedDocument.doc_id : null;
const result = await aiApi.analyzeTxt(
uploadedFile.size > 0 ? uploadedFile : null,
docId,
txtAnalysisType
);
if (result.success) {
toast.success('TXT AI 分析完成');
@@ -789,6 +989,18 @@ const Documents: React.FC = () => {
return `${(bytes / Math.pow(k, i)).toFixed(2)} ${sizes[i]}`;
};
const getMimeType = (ext: string): string => {
const mimeTypes: Record<string, string> = {
'xlsx': 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
'xls': 'application/vnd.ms-excel',
'docx': 'application/vnd.openxmlformats-officedocument.wordprocessingml.document',
'doc': 'application/msword',
'md': 'text/markdown',
'txt': 'text/plain',
};
return mimeTypes[ext] || 'application/octet-stream';
};
const getAnalysisIcon = (type: string) => {
switch (type) {
case 'general': return <FileText size={20} />;
@@ -1130,7 +1342,7 @@ const Documents: React.FC = () => {
<FileText size={12} className="mr-1" /> Markdown
</Badge>
<Badge variant="outline" className="bg-gray-500/10 text-gray-600 border-gray-200 text-xs">
<File size={12} className="mr-1" />
<FileIcon size={12} className="mr-1" />
</Badge>
</div>
</div>
@@ -1139,6 +1351,38 @@ const Documents: React.FC = () => {
)}
</Card>
{/* 从历史文档中选择 */}
{documents.length > 0 && (
<Card className="border-none shadow-md">
<CardHeader className="pb-4">
<CardTitle className="flex items-center gap-2">
<Clock className="text-primary" size={20} />
</CardTitle>
</CardHeader>
<CardContent className="space-y-3">
<Select
value=""
onValueChange={async (docId) => {
if (!docId) return;
await handleSelectDocument(docId);
}}
>
<SelectTrigger className="bg-background">
<SelectValue placeholder="选择历史文档..." />
</SelectTrigger>
<SelectContent>
{documents.slice(0, 20).map((doc) => (
<SelectItem key={doc.doc_id} value={doc.doc_id}>
{doc.original_filename}
</SelectItem>
))}
</SelectContent>
</Select>
</CardContent>
</Card>
)}
{/* Excel 解析选项 */}
{uploadedFile && isExcelFile(uploadedFile.name) && (
<Card className="border-none shadow-md">
@@ -1423,7 +1667,7 @@ const Documents: React.FC = () => {
)}
{/* 数据操作 */}
{parseResult?.success && (
{(parseResult?.success || aiAnalysis?.success || mdAnalysis?.success || wordAnalysis?.success || txtAnalysis?.success) && (
<Card className="border-none shadow-md bg-gradient-to-br from-emerald-500/5 to-blue-500/5">
<CardHeader className="pb-4">
<CardTitle className="flex items-center gap-2">
@@ -1432,7 +1676,7 @@ const Documents: React.FC = () => {
</CardTitle>
</CardHeader>
<CardContent className="space-y-3">
<Button onClick={handleGenerateCharts} disabled={!aiAnalysis?.success || analyzingForCharts} className="w-full bg-gradient-to-r from-primary to-purple-600 hover:from-primary/90 hover:to-purple-600/90">
<Button onClick={handleGenerateCharts} disabled={!(aiAnalysis?.success || mdAnalysis?.success || wordAnalysis?.success || txtAnalysis?.success) || analyzingForCharts} className="w-full bg-gradient-to-r from-primary to-purple-600 hover:from-primary/90 hover:to-purple-600/90">
{analyzingForCharts ? <><Loader2 className="mr-2 animate-spin" size={16} />...</> : <><Brain size={16} className="mr-2" />AI </>}
</Button>
<Button onClick={openExportDialog} variant="outline" className="w-full">
@@ -1774,6 +2018,95 @@ const Documents: React.FC = () => {
</CardContent>
</Card>
{/* 已上传文档详情 */}
{selectedDocument && (
<Card className="border-none shadow-md border-l-4 border-l-cyan-500">
<CardHeader>
<div className="flex items-center justify-between">
<div className="space-y-1">
<CardTitle className="flex items-center gap-2">
<FileText className="text-cyan-500" size={20} />
</CardTitle>
<CardDescription>
{selectedDocument.original_filename} {selectedDocument.doc_type.toUpperCase()}
</CardDescription>
</div>
<Button variant="ghost" size="sm" onClick={() => setSelectedDocument(null)}>
</Button>
</div>
</CardHeader>
<CardContent className="max-h-[500px] overflow-y-auto">
{loadingDocument ? (
<div className="flex items-center justify-center py-8">
<Loader2 className="animate-spin" size={24} />
<span className="ml-2">...</span>
</div>
) : (
<div className="space-y-4">
{selectedDocument.structured_data?.tables && selectedDocument.structured_data.tables.length > 0 && (
<div className="space-y-2">
<p className="text-sm font-medium"></p>
{selectedDocument.structured_data.tables.slice(0, 3).map((table: any, idx: number) => (
<div key={idx} className="border rounded-lg overflow-x-auto">
{table.headers && (
<TableComponent>
<TableHeader>
<TableRow>
{table.headers.map((header: string, hIdx: number) => (
<TableHead key={hIdx}>{header}</TableHead>
))}
</TableRow>
</TableHeader>
<TableBody>
{(table.rows || []).slice(0, 10).map((row: string[], rIdx: number) => (
<TableRow key={rIdx}>
{row.map((cell: string, cIdx: number) => (
<TableCell key={cIdx}>{cell}</TableCell>
))}
</TableRow>
))}
</TableBody>
</TableComponent>
)}
</div>
))}
</div>
)}
{selectedDocument.structured_data?.key_values && Object.keys(selectedDocument.structured_data.key_values || {}).length > 0 && (
<div className="space-y-2">
<p className="text-sm font-medium"></p>
<div className="grid grid-cols-2 gap-2">
{Object.entries(selectedDocument.structured_data.key_values || {}).map(([key, value]: [string, any]) => (
<div key={key} className="flex gap-2 p-2 bg-muted/30 rounded-lg">
<span className="font-medium text-sm">{key}:</span>
<span className="text-sm text-muted-foreground">{String(value)}</span>
</div>
))}
</div>
</div>
)}
{selectedDocument.content && (
<div className="space-y-2">
<p className="text-sm font-medium"></p>
<div className="p-3 bg-muted/30 rounded-lg max-h-[300px] overflow-y-auto">
<p className="text-sm whitespace-pre-wrap font-mono">
{selectedDocument.content.slice(0, 2000)}
{selectedDocument.content.length > 2000 && '...'}
</p>
</div>
</div>
)}
{!selectedDocument.content && !selectedDocument.structured_data?.tables && !selectedDocument.structured_data?.key_values && (
<p className="text-sm text-muted-foreground text-center py-4"></p>
)}
</div>
)}
</CardContent>
</Card>
)}
{/* 文档列表 */}
<Card className="border-none shadow-md">
<CardHeader>
@@ -1801,7 +2134,14 @@ const Documents: React.FC = () => {
) : (filteredDocs?.length ?? 0) > 0 ? (
<div className="space-y-3">
{(filteredDocs || []).map(doc => (
<div key={doc.doc_id} className="flex items-center gap-4 p-4 rounded-xl border border-transparent hover:bg-muted/30 transition-all group">
<div
key={doc.doc_id}
className={cn(
"flex items-center gap-4 p-4 rounded-xl border border-transparent hover:bg-muted/30 transition-all group cursor-pointer",
selectedDocument?.doc_id === doc.doc_id && "bg-primary/5 border-primary/20"
)}
onClick={() => handleSelectDocument(doc.doc_id)}
>
<div className={cn(
"w-10 h-10 rounded-lg flex items-center justify-center shrink-0",
doc.doc_type === 'xlsx' ? "bg-emerald-500/10 text-emerald-500" : "bg-blue-500/10 text-blue-500"
@@ -1814,7 +2154,10 @@ const Documents: React.FC = () => {
{doc.doc_type.toUpperCase()} {format(new Date(doc.created_at), 'yyyy-MM-dd HH:mm')}
</p>
</div>
<Button variant="ghost" size="icon" className="text-destructive hover:bg-destructive/10 opacity-0 group-hover:opacity-100" onClick={() => handleDelete(doc.doc_id)}>
<Button variant="ghost" size="icon" className="text-destructive hover:bg-destructive/10 opacity-0 group-hover:opacity-100" onClick={(e) => {
e.stopPropagation();
handleDelete(doc.doc_id);
}}>
<Trash2 size={16} />
</Button>
</div>