llama.cpp/tools/server/webui/src/lib/utils/process-uploaded-files.ts

137 lines
4.4 KiB
TypeScript

import { isSvgMimeType, svgBase64UrlToPngDataURL } from './svg-to-png';
import { isWebpMimeType, webpBase64UrlToPngDataURL } from './webp-to-png';
import { FileTypeCategory } from '$lib/enums';
import { modelsStore } from '$lib/stores/models.svelte';
import { settingsStore } from '$lib/stores/settings.svelte';
import { toast } from 'svelte-sonner';
import { getFileTypeCategory } from '$lib/utils';
import { convertPDFToText } from './pdf-processing';
/**
* Read a file as a data URL (base64 encoded)
* @param file - The file to read
* @returns Promise resolving to the data URL string
*/
function readFileAsDataURL(file: File): Promise<string> {
return new Promise((resolve, reject) => {
const reader = new FileReader();
reader.onload = () => resolve(reader.result as string);
reader.onerror = () => reject(reader.error);
reader.readAsDataURL(file);
});
}
/**
* Read a file as UTF-8 text
* @param file - The file to read
* @returns Promise resolving to the text content
*/
function readFileAsUTF8(file: File): Promise<string> {
return new Promise((resolve, reject) => {
const reader = new FileReader();
reader.onload = () => resolve(reader.result as string);
reader.onerror = () => reject(reader.error);
reader.readAsText(file);
});
}
/**
* Process uploaded files into ChatUploadedFile format with previews and content
*
* This function processes various file types and generates appropriate previews:
* - Images: Base64 data URLs with format normalization (SVG/WebP → PNG)
* - Text files: UTF-8 content extraction
* - PDFs: Metadata only (processed later in conversion pipeline)
* - Audio: Base64 data URLs for preview
*
* @param files - Array of File objects to process
* @returns Promise resolving to array of ChatUploadedFile objects
*/
export async function processFilesToChatUploaded(
files: File[],
activeModelId?: string
): Promise<ChatUploadedFile[]> {
const results: ChatUploadedFile[] = [];
for (const file of files) {
const id = Date.now().toString() + Math.random().toString(36).substr(2, 9);
const base: ChatUploadedFile = {
id,
name: file.name,
size: file.size,
type: file.type,
file
};
try {
if (getFileTypeCategory(file.type) === FileTypeCategory.IMAGE) {
let preview = await readFileAsDataURL(file);
// Normalize SVG and WebP to PNG in previews
if (isSvgMimeType(file.type)) {
try {
preview = await svgBase64UrlToPngDataURL(preview);
} catch (err) {
console.error('Failed to convert SVG to PNG:', err);
}
} else if (isWebpMimeType(file.type)) {
try {
preview = await webpBase64UrlToPngDataURL(preview);
} catch (err) {
console.error('Failed to convert WebP to PNG:', err);
}
}
results.push({ ...base, preview });
} else if (getFileTypeCategory(file.type) === FileTypeCategory.PDF) {
// Extract text content from PDF for preview
try {
const textContent = await convertPDFToText(file);
results.push({ ...base, textContent });
} catch (err) {
console.warn('Failed to extract text from PDF, adding without content:', err);
results.push(base);
}
// Show suggestion toast if vision model is available but PDF as image is disabled
const hasVisionSupport = activeModelId
? modelsStore.modelSupportsVision(activeModelId)
: false;
const currentConfig = settingsStore.config;
if (hasVisionSupport && !currentConfig.pdfAsImage) {
toast.info(`You can enable parsing PDF as images with vision models.`, {
duration: 8000,
action: {
label: 'Enable PDF as Images',
onClick: () => {
settingsStore.updateConfig('pdfAsImage', true);
toast.success('PDF parsing as images enabled!', {
duration: 3000
});
}
}
});
}
} else if (getFileTypeCategory(file.type) === FileTypeCategory.AUDIO) {
// Generate preview URL for audio files
const preview = await readFileAsDataURL(file);
results.push({ ...base, preview });
} else {
// Fallback: treat unknown files as text
try {
const textContent = await readFileAsUTF8(file);
results.push({ ...base, textContent });
} catch (err) {
console.warn('Failed to read file as text, adding without content:', err);
results.push(base);
}
}
} catch (error) {
console.error('Error processing file', file.name, error);
results.push(base);
}
}
return results;
}