feat: add functionality to upload and update dataset metadata via CSV files

This commit is contained in:
averel10
2026-03-13 14:10:12 +01:00
parent 4c9b4734e7
commit e9df095f06
4 changed files with 626 additions and 50 deletions

View File

@@ -10,6 +10,74 @@ import { join } from 'path';
import { existsSync } from 'fs';
import { requireAdmin } from '@/lib/auth';
/**
* Helper: Parse metadata.csv from extracted directory
* Returns structured data for both insert and update operations
*/
async function parseMetadataFromDirectory(
tempDir: string
): Promise<{
headers: string[];
rows: Record<string, string>[];
}> {
const metadataPath = join(tempDir, 'metadata.csv');
if (!existsSync(metadataPath)) {
throw new Error('metadata.csv not found in extracted files');
}
const metadataContent = await readFile(metadataPath, 'utf-8');
const lines = metadataContent.split('\n').filter((line) => line.trim());
if (lines.length < 2) {
throw new Error('metadata.csv is empty or invalid');
}
const headers = lines[0].split(',').map((h) => h.trim());
const rows: Record<string, string>[] = [];
for (let i = 1; i < lines.length; i++) {
const values = parseCSVLine(lines[i]);
if (values.length !== headers.length) {
continue; // Skip malformed lines
}
const row: Record<string, string> = {};
headers.forEach((header, index) => {
row[header] = values[index];
});
rows.push(row);
}
return { headers, rows };
}
/**
* Convert metadata row to dataset_entry insert object
*/
function rowToDatasetEntry(
row: Record<string, string>,
datasetId: number
): typeof dataset_entry.$inferInsert {
return {
datasetId,
externalId: row.id,
speakerId: row.speaker,
modelName: row.model,
utteranceId: row.utt_id,
utteranceText: row.text,
fileName: row.audio_file,
dialect: row.dialect,
iteration: parseInt(row.iteration, 10),
durationMs: row.duration_ms ? parseInt(row.duration_ms, 10) : undefined,
rmsValue: row.rms_value ? parseFloat(row.rms_value) : undefined,
longestPause: row.longest_pause ? parseFloat(row.longest_pause) : undefined,
utmosScore: row.utmos_score ? parseFloat(row.utmos_score) : undefined,
werScore: row.wer_score ? parseFloat(row.wer_score) : undefined,
};
}
/**
* Step 2: Process the extracted ZIP data and insert into database
* Copies audio files and creates database entries
@@ -39,47 +107,16 @@ export async function processDatasetEntries(
};
}
// Read metadata.csv again
const metadataPath = join(tempDir, 'metadata.csv');
if (!existsSync(metadataPath)) {
return {
success: false,
error: 'metadata.csv not found in extracted files',
entriesCreated: 0,
};
}
// Parse metadata from directory
const { rows } = await parseMetadataFromDirectory(tempDir);
const metadataContent = await readFile(metadataPath, 'utf-8');
const lines = metadataContent.split('\n').filter(line => line.trim());
if (lines.length < 2) {
return {
success: false,
error: 'metadata.csv is empty or invalid',
entriesCreated: 0,
};
}
// Parse CSV
const headers = lines[0].split(',').map(h => h.trim());
const entries: typeof dataset_entry.$inferInsert[] = [];
// Create dataset directory
await mkdir(datasetDir, { recursive: true });
// Process each row
for (let i = 1; i < lines.length; i++) {
const values = parseCSVLine(lines[i]);
if (values.length !== headers.length) {
continue; // Skip malformed lines
}
const row: Record<string, string> = {};
headers.forEach((header, index) => {
row[header] = values[index];
});
for (const row of rows) {
const audioFile = row.audio_file as string;
const relativePath = audioFile.replace(/\\/g, '/');
const audioPath = join(tempDir, relativePath);
@@ -92,22 +129,7 @@ export async function processDatasetEntries(
await writeFile(destPath, audioBuffer);
entries.push({
datasetId,
externalId: row.id,
speakerId: row.speaker,
modelName: row.model,
utteranceId: row.utt_id,
utteranceText: row.text,
fileName: relativePath,
dialect: row.dialect,
iteration: parseInt(row.iteration, 10),
durationMs: row.duration_ms ? parseInt(row.duration_ms, 10) : undefined,
rmsValue: row.rms_value ? parseFloat(row.rms_value) : undefined,
longestPause: row.longest_pause ? parseFloat(row.longest_pause) : undefined,
utmosScore: row.utmos_score ? parseFloat(row.utmos_score) : undefined,
werScore: row.wer_score ? parseFloat(row.wer_score) : undefined,
});
entries.push(rowToDatasetEntry(row, datasetId));
}
}
@@ -167,3 +189,116 @@ export async function processDatasetEntries(
}
}
}
/**
* Update metadata for existing dataset entries
* Uses the same metadata.csv parsing as processDatasetEntries
* Matches entries by externalId and updates their metadata fields
*/
export async function updateDatasetEntriesMetadata(
datasetId: number,
tempDir: string
) {
try {
const result = await requireAdmin();
if (!result.authenticated || !result.admin) {
return {
success: false,
error: 'Unauthorized',
entriesUpdated: 0,
};
}
// Validate temp directory exists
if (!existsSync(tempDir)) {
return {
success: false,
error: 'Temporary extraction directory not found',
entriesUpdated: 0,
};
}
// Parse metadata from directory (reusing same logic as processDatasetEntries)
const { rows } = await parseMetadataFromDirectory(tempDir);
if (rows.length === 0) {
return {
success: false,
error: 'No valid entries found in metadata.csv',
entriesUpdated: 0,
};
}
// Get all existing entries for this dataset
const existingEntries = await db
.select()
.from(dataset_entry)
.where(eq(dataset_entry.datasetId, datasetId));
const existingByExternalId = new Map(
existingEntries.map(entry => [entry.externalId, entry])
);
let entriesUpdated = 0;
let entriesNotFound = 0;
// Update each row that has a matching entry
for (const row of rows) {
const externalId = row.id;
const existingEntry = existingByExternalId.get(externalId);
if (!existingEntry) {
entriesNotFound++;
continue;
}
// Update only the metadata fields, don't change the ID or dataset reference
await db
.update(dataset_entry)
.set({
speakerId: row.speaker,
modelName: row.model,
utteranceId: row.utt_id,
utteranceText: row.text,
dialect: row.dialect,
iteration: parseInt(row.iteration, 10),
durationMs: row.duration_ms ? parseInt(row.duration_ms, 10) : undefined,
rmsValue: row.rms_value ? parseFloat(row.rms_value) : undefined,
longestPause: row.longest_pause ? parseFloat(row.longest_pause) : undefined,
utmosScore: row.utmos_score ? parseFloat(row.utmos_score) : undefined,
werScore: row.wer_score ? parseFloat(row.wer_score) : undefined,
})
.where(eq(dataset_entry.id, existingEntry.id));
entriesUpdated++;
}
revalidatePath(`/admin/datasets/${datasetId}`);
return {
success: true,
entriesUpdated,
entriesNotFound,
message: entriesUpdated > 0
? `Successfully updated ${entriesUpdated} entries${entriesNotFound > 0 ? ` (${entriesNotFound} not found)` : ''}.`
: `No entries were updated (${entriesNotFound} not found).`,
};
} catch (error) {
console.error('Error updating dataset entries metadata:', error);
const errorMessage = error instanceof Error ? error.message : 'Failed to update dataset entries metadata';
return {
success: false,
error: errorMessage,
entriesUpdated: 0,
};
} finally {
// Clean up temp directory
try {
if (existsSync(tempDir)) {
await rm(tempDir, { recursive: true, force: true });
}
} catch (cleanupError) {
console.error('Error cleaning up temp directory:', cleanupError);
}
}
}

View File

@@ -5,6 +5,7 @@ import { eq } from 'drizzle-orm';
import EditableDatasetHeader from '@/components/EditableDatasetHeader';
import DatasetEntriesList from '@/components/DatasetEntriesList';
import UploadDatasetEntriesModal from '@/components/UploadDatasetEntriesModal';
import UpdateDatasetMetadataModal from '@/components/UpdateDatasetMetadataModal';
import RemoveAllEntriesButton from '@/components/RemoveAllEntriesButton';
import DeleteDatasetButton from '@/components/DeleteDatasetButton';
import { requireAdmin } from '@/lib/auth';
@@ -69,6 +70,7 @@ export default async function DatasetPage({ params }: DatasetPageProps) {
<div className="flex gap-3 mb-6">
<UploadDatasetEntriesModal datasetId={datasetId} />
<UpdateDatasetMetadataModal datasetId={datasetId} />
<RemoveAllEntriesButton datasetId={datasetId} />
<DeleteDatasetButton datasetId={datasetId} datasetName={ds.name} />
</div>

View File

@@ -0,0 +1,74 @@
import { writeFile, mkdir, rm } from 'fs/promises';
import { join } from 'path';
import { existsSync } from 'fs';
import { NextRequest, NextResponse } from 'next/server';
import { requireAdmin } from '@/lib/auth';
export async function POST(request: NextRequest) {
try {
const result = await requireAdmin();
if (!result.authenticated || !result.admin) {
return NextResponse.json(
{ error: 'Unauthorized' },
{ status: 401 }
);
}
const formData = await request.formData();
const file = formData.get('file') as File;
const datasetId = formData.get('datasetId') as string;
if (!file) {
return NextResponse.json(
{ error: 'No file provided' },
{ status: 400 }
);
}
if (!file.name.endsWith('.csv')) {
return NextResponse.json(
{ error: 'File must be a CSV file' },
{ status: 400 }
);
}
const tempDir = join(process.cwd(), 'tmp', `update-metadata-${Date.now()}`);
try {
// Create temp directory
await mkdir(tempDir, { recursive: true });
// Save uploaded CSV file as metadata.csv
const arrayBuffer = await file.arrayBuffer();
const buffer = Buffer.from(arrayBuffer);
const metadataPath = join(tempDir, 'metadata.csv');
await writeFile(metadataPath, buffer);
return NextResponse.json({
success: true,
tempDir,
message: `Successfully uploaded metadata.csv. Ready for processing.`,
});
} catch (error) {
// Clean up on error
try {
if (existsSync(tempDir)) {
await rm(tempDir, { recursive: true, force: true });
}
} catch (cleanupError) {
console.error('Error cleaning up temp directory:', cleanupError);
}
throw error;
}
} catch (error) {
console.error('Error uploading metadata CSV:', error);
const errorMsg =
error instanceof Error ? error.message : 'Failed to upload metadata CSV';
return NextResponse.json(
{ error: errorMsg },
{ status: 500 }
);
}
}

View File

@@ -0,0 +1,365 @@
'use client';
import { useState } from 'react';
import { updateDatasetEntriesMetadata } from '@/app/actions/upload';
import Modal from '@/components/Modal';
interface UpdateDatasetMetadataModalProps {
datasetId: number;
}
export default function UpdateDatasetMetadataModal({
datasetId,
}: UpdateDatasetMetadataModalProps) {
const [isOpen, setIsOpen] = useState(false);
const [files, setFiles] = useState<File[]>([]);
const [loading, setLoading] = useState(false);
const [error, setError] = useState<string | null>(null);
const [success, setSuccess] = useState(false);
const [uploadQueue, setUploadQueue] = useState<Array<{ file: File; status: 'pending' | 'uploading' | 'completed' | 'failed'; message?: string; progress: number }>>([]);
const [status, setStatus] = useState<string>('');
function handleFileChange(e: React.ChangeEvent<HTMLInputElement>) {
const selectedFiles = e.target.files ? Array.from(e.target.files) : [];
if (selectedFiles.length > 0) {
setFiles(selectedFiles);
setError(null);
// Initialize queue with pending status and 0 progress
setUploadQueue(selectedFiles.map(file => ({ file, status: 'pending', progress: 0 })));
}
}
async function handleSubmit(e: React.FormEvent) {
e.preventDefault();
setError(null);
setSuccess(false);
if (files.length === 0) {
setError('Please select at least one CSV file');
return;
}
setLoading(true);
try {
// Process each file in the queue sequentially
const newQueue = [...uploadQueue];
for (let i = 0; i < newQueue.length; i++) {
const item = newQueue[i];
item.status = 'uploading';
item.progress = 0;
setUploadQueue([...newQueue]);
setStatus(`Processing file ${i + 1} of ${newQueue.length}: ${item.file.name}`);
try {
// Upload with progress tracking
const uploadResult = await uploadFileWithProgress(item.file, i, newQueue);
// Update the metadata
const updateResult = await updateDatasetEntriesMetadata(datasetId, uploadResult.tempDir);
if (!updateResult.success) {
item.status = 'failed';
item.progress = 0;
item.message = `${updateResult.error || 'Update failed'}`;
} else {
item.status = 'completed';
item.progress = 100;
item.message = `✓ Updated (${updateResult.entriesUpdated} entries)`;
}
} catch (err) {
item.status = 'failed';
item.progress = 0;
item.message = `${err instanceof Error ? err.message : 'Network error'}`;
}
setUploadQueue([...newQueue]);
}
const failedCount = newQueue.filter(item => item.status === 'failed').length;
const completedCount = newQueue.filter(item => item.status === 'completed').length;
if (failedCount === 0) {
setSuccess(true);
setStatus(`All files processed! (${completedCount}/${newQueue.length} completed)`);
} else if (completedCount > 0) {
setStatus(`Completed with errors: ${completedCount} succeeded, ${failedCount} failed`);
} else {
setError(`All files failed to process`);
}
setFiles([]);
if (failedCount === 0) {
setTimeout(() => {
setSuccess(false);
setIsOpen(false);
setStatus('');
setUploadQueue([]);
window.location.reload();
}, 2500);
}
} catch (err) {
const errorMsg = err instanceof Error ? err.message : 'Failed to process updates';
setError(errorMsg);
setStatus('');
} finally {
setLoading(false);
}
}
function uploadFileWithProgress(
file: File,
index: number,
queue: Array<{ file: File; status: 'pending' | 'uploading' | 'completed' | 'failed'; progress: number; message?: string }>
): Promise<{ tempDir: string }> {
const MAX_RETRIES = 3;
return (async () => {
let lastError: Error | null = null;
for (let attempt = 1; attempt <= MAX_RETRIES; attempt++) {
try {
const result = await uploadAttempt(file, index, queue, attempt, MAX_RETRIES);
return result;
} catch (error) {
lastError = error instanceof Error ? error : new Error('Unknown error');
if (attempt < MAX_RETRIES) {
// Exponential backoff: 1s, 2s, 4s
const delay = Math.pow(2, attempt - 1) * 1000;
queue[index].message = `Retrying in ${delay / 1000}s... (attempt ${attempt}/${MAX_RETRIES})`;
setUploadQueue([...queue]);
await new Promise(resolve => setTimeout(resolve, delay));
queue[index].progress = 0; // Reset progress for next attempt
setUploadQueue([...queue]);
}
}
}
throw lastError || new Error('Upload failed after all retries');
})();
}
function uploadAttempt(
file: File,
index: number,
queue: Array<{ file: File; status: 'pending' | 'uploading' | 'completed' | 'failed'; progress: number; message?: string }>,
attempt: number,
maxRetries: number
): Promise<{ tempDir: string }> {
return new Promise((resolve, reject) => {
const formData = new FormData();
formData.append('file', file);
formData.append('datasetId', datasetId.toString());
const xhr = new XMLHttpRequest();
// Track upload progress
xhr.upload.addEventListener('progress', (event) => {
if (event.lengthComputable) {
const progress = Math.round((event.loaded / event.total) * 100);
queue[index].progress = progress;
if (attempt > 1) {
queue[index].message = `Uploading (retry ${attempt}/${maxRetries})`;
}
setUploadQueue([...queue]);
}
});
xhr.addEventListener('load', () => {
if (xhr.status === 200) {
try {
const result = JSON.parse(xhr.responseText);
if (result.success) {
resolve(result);
} else {
reject(new Error(result.error || 'Upload failed'));
}
} catch (error) {
reject(new Error('Failed to parse response'));
}
} else {
try {
const error = JSON.parse(xhr.responseText);
reject(new Error(error.error || `Upload failed with status ${xhr.status}`));
} catch {
reject(new Error(`Upload failed with status ${xhr.status}`));
}
}
});
xhr.addEventListener('error', () => {
reject(new Error('Network error'));
});
xhr.addEventListener('abort', () => {
reject(new Error('Upload aborted'));
});
xhr.open('POST', '/api/update-metadata');
xhr.send(formData);
});
}
function handleClose() {
if (!loading) {
setIsOpen(false);
setFiles([]);
setError(null);
setSuccess(false);
setStatus('');
setUploadQueue([]);
}
}
return (
<>
<button
onClick={() => setIsOpen(true)}
className="mb-6 px-4 py-2 bg-blue-500 text-white rounded-md hover:bg-blue-600 transition-colors"
>
Update Metadata
</button>
<Modal
isOpen={isOpen}
onClose={handleClose}
title="Update Dataset Metadata"
actions={[
{
label: 'Cancel',
onClick: handleClose,
variant: 'secondary',
disabled: loading,
},
{
label: loading ? `Processing ${uploadQueue.filter(f => f.status !== 'pending').length}/${uploadQueue.length}...` : 'Upload & Update',
onClick: () => {
const form = document.getElementById(
'updateMetadataForm'
) as HTMLFormElement;
form?.dispatchEvent(new Event('submit', { bubbles: true }));
},
variant: 'primary',
disabled: loading || files.length === 0,
},
]}
>
<form id="updateMetadataForm" onSubmit={handleSubmit} className="space-y-4">
<div>
<label htmlFor="file" className="block text-sm font-medium mb-2">
CSV File
</label>
<div className="border-2 border-dashed border-gray-300 rounded-lg p-6 text-center">
<input
id="file"
type="file"
accept=".csv"
multiple
onChange={handleFileChange}
disabled={loading}
className="hidden"
/>
<label htmlFor="file" className="cursor-pointer block">
{files.length > 0 ? (
<div>
<p className="text-sm font-medium text-blue-600">
{files.length} file{files.length !== 1 ? 's' : ''} selected
</p>
<div className="mt-2 text-xs text-gray-600 max-h-24 overflow-y-auto">
{files.map((f, idx) => (
<div key={idx} className="py-1">
{f.name} ({(f.size / 1024).toFixed(2)} KB)
</div>
))}
</div>
</div>
) : (
<div>
<p className="text-sm font-medium text-gray-700">
Click to select or drag and drop
</p>
<p className="text-xs text-gray-500 mt-1">CSV files only (multiple allowed)</p>
</div>
)}
</label>
</div>
</div>
<div className="bg-blue-50 border border-blue-200 rounded-lg p-4 text-sm text-blue-800">
<p className="font-semibold mb-2">CSV file format:</p>
<ul className="list-disc list-inside space-y-1 text-xs">
<li>
Columns: <code className="bg-blue-100 px-1 rounded">id, speaker, model, utt_id, text, dialect, iteration, duration_ms, rms_value, longest_pause, utmos_score, wer_score</code>
</li>
<li>Entry IDs in the CSV must match existing dataset entries to update</li>
</ul>
</div>
{uploadQueue.length > 0 && (
<div className="bg-gray-50 border border-gray-200 rounded-lg p-4 space-y-3">
<p className="font-semibold text-sm text-gray-700">Upload Queue:</p>
<div className="space-y-2 max-h-48 overflow-y-auto">
{uploadQueue.map((item, idx) => (
<div key={idx} className="space-y-1">
<div className="flex items-center gap-2 text-xs">
<span className={`font-medium ${
item.status === 'completed' ? 'text-green-600' :
item.status === 'failed' ? 'text-red-600' :
item.status === 'uploading' ? 'text-blue-600' :
'text-gray-600'
}`}>
{item.status === 'completed' ? '✓' :
item.status === 'failed' ? '✗' :
item.status === 'uploading' ? '⟳' :
'○'}
</span>
<span className="flex-1 truncate">{item.file.name}</span>
{item.progress > 0 && item.progress < 100 && (
<span className="text-gray-500">{item.progress}%</span>
)}
{item.message && <span className="text-gray-500 text-xs">{item.message}</span>}
</div>
{item.status === 'uploading' && (
<div className="w-full bg-gray-200 rounded-full h-2 overflow-hidden">
<div
className="bg-blue-500 h-full transition-all duration-300"
style={{ width: `${item.progress}%` }}
/>
</div>
)}
{item.status === 'completed' && (
<div className="w-full bg-green-200 rounded-full h-2 overflow-hidden">
<div className="bg-green-500 h-full w-full" />
</div>
)}
{item.status === 'failed' && (
<div className="w-full bg-red-200 rounded-full h-2 overflow-hidden">
<div className="bg-red-500 h-full w-full" />
</div>
)}
</div>
))}
</div>
</div>
)}
{error && (
<div className="p-3 bg-red-100 border border-red-400 text-red-700 rounded text-sm">
{error}
</div>
)}
{status && (
<div className={`p-3 rounded text-sm ${success ? 'bg-green-100 border border-green-400 text-green-700' : 'bg-blue-100 border border-blue-400 text-blue-700'}`}>
{status}
</div>
)}
</form>
</Modal>
</>
);
}