Added progress when scanning files and fixed some bugs in the API
This commit is contained in:
@@ -1,4 +1,24 @@
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from fastapi import FastAPI, HTTPException, File, UploadFile, Form, Request
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# Backend (Python)
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# Add this to store progress globally
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from typing import Dict
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import threading
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# Global progress tracker
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scan_progress: Dict = {
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"is_scanning": False,
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"current_file": "",
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"indexed_count": 0,
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"total_files": 0,
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"progress": 0
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}
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# Lock for thread-safe operations
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progress_lock = threading.Lock()
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import json
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import os
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from fastapi.staticfiles import StaticFiles
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from pydantic import BaseModel
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import logging
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@@ -538,7 +558,7 @@ class DocumentManager:
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# Create input directory if it doesn't exist
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self.input_dir.mkdir(parents=True, exist_ok=True)
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def scan_directory(self) -> List[Path]:
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def scan_directory_for_new_files(self) -> List[Path]:
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"""Scan input directory for new files"""
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new_files = []
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for ext in self.supported_extensions:
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@@ -547,6 +567,14 @@ class DocumentManager:
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new_files.append(file_path)
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return new_files
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def scan_directory(self) -> List[Path]:
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"""Scan input directory for new files"""
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new_files = []
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for ext in self.supported_extensions:
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for file_path in self.input_dir.rglob(f"*{ext}"):
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new_files.append(file_path)
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return new_files
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def mark_as_indexed(self, file_path: Path):
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"""Mark a file as indexed"""
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self.indexed_files.add(file_path)
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@@ -730,7 +758,7 @@ def create_app(args):
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# Startup logic
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if args.auto_scan_at_startup:
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try:
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new_files = doc_manager.scan_directory()
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new_files = doc_manager.scan_directory_for_new_files()
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for file_path in new_files:
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try:
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await index_file(file_path)
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@@ -982,43 +1010,56 @@ def create_app(args):
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else:
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logging.warning(f"No content extracted from file: {file_path}")
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@app.post("/documents/scan", dependencies=[Depends(optional_api_key)])
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async def scan_for_new_documents():
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"""
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Manually trigger scanning for new documents in the directory managed by `doc_manager`.
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"""Trigger the scanning process"""
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global scan_progress
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This endpoint facilitates manual initiation of a document scan to identify and index new files.
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It processes all newly detected files, attempts indexing each file, logs any errors that occur,
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and returns a summary of the operation.
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Returns:
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dict: A dictionary containing:
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- "status" (str): Indicates success or failure of the scanning process.
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- "indexed_count" (int): The number of successfully indexed documents.
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- "total_documents" (int): Total number of documents that have been indexed so far.
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Raises:
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HTTPException: If an error occurs during the document scanning process, a 500 status
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code is returned with details about the exception.
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"""
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try:
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new_files = doc_manager.scan_directory()
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indexed_count = 0
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with progress_lock:
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if scan_progress["is_scanning"]:
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return {"status": "already_scanning"}
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scan_progress["is_scanning"] = True
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scan_progress["indexed_count"] = 0
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scan_progress["progress"] = 0
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new_files = doc_manager.scan_directory_for_new_files()
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scan_progress["total_files"] = len(new_files)
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for file_path in new_files:
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try:
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with progress_lock:
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scan_progress["current_file"] = os.path.basename(file_path)
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await index_file(file_path)
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indexed_count += 1
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with progress_lock:
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scan_progress["indexed_count"] += 1
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scan_progress["progress"] = (scan_progress["indexed_count"] / scan_progress["total_files"]) * 100
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except Exception as e:
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logging.error(f"Error indexing file {file_path}: {str(e)}")
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return {
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"status": "success",
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"indexed_count": indexed_count,
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"indexed_count": scan_progress["indexed_count"],
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"total_documents": len(doc_manager.indexed_files),
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}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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finally:
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with progress_lock:
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scan_progress["is_scanning"] = False
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@app.get("/documents/scan-progress")
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async def get_scan_progress():
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"""Get the current scanning progress"""
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with progress_lock:
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return scan_progress
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@app.post("/documents/upload", dependencies=[Depends(optional_api_key)])
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async def upload_to_input_dir(file: UploadFile = File(...)):
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@@ -1849,7 +1890,7 @@ def create_app(args):
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"status": "healthy",
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"working_directory": str(args.working_dir),
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"input_directory": str(args.input_dir),
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"indexed_files": files,
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"indexed_files": [str(f) for f in files],
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"indexed_files_count": len(files),
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"configuration": {
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# LLM configuration binding/host address (if applicable)/model (if applicable)
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@@ -98,7 +98,7 @@
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</div>
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</div>
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<script src="/js/lightrag_api.js"></script>
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<script src="/js/api.js"></script>
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</body>
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</html>
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@@ -49,6 +49,12 @@ const pages = {
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</div>
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<p class="text-sm text-gray-600 mt-2"><span id="uploadStatus">0</span> files processed</p>
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</div>
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<button id="rescanBtn" class="flex items-center bg-blue-600 text-white px-4 py-2 rounded-lg hover:bg-blue-700 transition-colors">
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" width="20" height="20" fill="currentColor" class="mr-2">
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<path d="M12 4a8 8 0 1 1-8 8H2.5a9.5 9.5 0 1 0 2.8-6.7L2 3v6h6L5.7 6.7A7.96 7.96 0 0 1 12 4z"/>
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</svg>
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Rescan Files
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</button>
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<button id="uploadBtn" class="bg-blue-600 text-white px-4 py-2 rounded-lg hover:bg-blue-700 transition-colors">
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Upload & Index Files
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@@ -58,12 +64,6 @@ const pages = {
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<h3 class="text-lg font-semibold text-gray-700">Indexed Files</h3>
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<div class="space-y-2"></div>
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</div>
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<button id="rescanBtn" class="flex items-center bg-blue-600 text-white px-4 py-2 rounded-lg hover:bg-blue-700 transition-colors">
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" width="20" height="20" fill="currentColor" class="mr-2">
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<path d="M12 4a8 8 0 1 1-8 8H2.5a9.5 9.5 0 1 0 2.8-6.7L2 3v6h6L5.7 6.7A7.96 7.96 0 0 1 12 4z"/>
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</svg>
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Rescan Files
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</button>
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</div>
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@@ -232,22 +232,52 @@ const handlers = {
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}
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progress.classList.add('hidden');
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});
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rescanBtn.addEventListener('click', async () => {
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let apiKey = localStorage.getItem('apiKey') || '';
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const progress = document.getElementById('uploadProgress');
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const progressBar = progress.querySelector('div');
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const statusText = document.getElementById('uploadStatus');
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progress.classList.remove('hidden');
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try {
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const scan_output = await fetch('/documents/scan', {
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method: 'GET',
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// Start the scanning process
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const scanResponse = await fetch('/documents/scan', {
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method: 'POST',
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});
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statusText.textContent = scan_output.data;
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if (!scanResponse.ok) {
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throw new Error('Scan failed to start');
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}
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// Start polling for progress
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const pollInterval = setInterval(async () => {
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const progressResponse = await fetch('/documents/scan-progress');
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const progressData = await progressResponse.json();
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// Update progress bar
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progressBar.style.width = `${progressData.progress}%`;
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// Update status text
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if (progressData.total_files > 0) {
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statusText.textContent = `Processing ${progressData.current_file} (${progressData.indexed_count}/${progressData.total_files})`;
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}
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// Check if scanning is complete
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if (!progressData.is_scanning) {
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clearInterval(pollInterval);
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progress.classList.add('hidden');
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statusText.textContent = 'Scan complete!';
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}
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}, 1000); // Poll every second
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} catch (error) {
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console.error('Upload error:', error);
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}
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progress.classList.add('hidden');
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statusText.textContent = 'Error during scanning process';
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}
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});
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updateIndexedFiles();
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},
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