Files
nc-talk-ai/lib/Service/RagIngestionService.php
T
Pascal Kienast 0739d3da6a Initial open-source release of Talk AI
Talk AI is a multi-bot AI assistant manager for Nextcloud Talk:
per-bot prompts and models, agentic tool calling (MCP + built-in
tools), RAG over Nextcloud files, room-document search, vision and
speech-to-text attachments, persistent bot wikis, approval workflows,
rate limiting, and multi-provider LLM support (any OpenAI-compatible
endpoint).

Developed within EDUC - the European Digital UniverCity
(https://educalliance.eu), where it runs as the 'EDUC AI' assistant on
the alliance-wide Nextcloud portal. This public repository is the
upstream point of truth; deployment-specific tools plug in via the
tool-provider extension point (docs/TOOL_PROVIDERS.md).

License: AGPL-3.0-or-later.
2026-07-08 21:13:13 +02:00

515 lines
19 KiB
PHP

<?php
declare(strict_types=1);
namespace OCA\EducAI\Service;
use Exception;
use OCA\EducAI\Db\BotSource;
use OCA\EducAI\Db\BotSourceMapper;
use OCA\EducAI\Db\Embedding;
use OCA\EducAI\Db\EmbeddingMapper;
use OCA\EducAI\Jobs\ReindexBotSourceJob;
use OCP\BackgroundJob\IJobList;
use OCP\Files\File;
use OCP\Files\Folder;
use OCP\Files\IRootFolder;
use OCP\Files\Node;
use Psr\Log\LoggerInterface;
class RagIngestionService {
private BotSourceMapper $botSourceMapper;
private EmbeddingMapper $embeddingMapper;
private EmbeddingClient $embeddingClient;
private DoclingClient $doclingClient;
private UrlContentFetcher $urlContentFetcher;
private SettingsService $settingsService;
private IRootFolder $rootFolder;
private IJobList $jobList;
private LoggerInterface $logger;
public function __construct(
BotSourceMapper $botSourceMapper,
EmbeddingMapper $embeddingMapper,
EmbeddingClient $embeddingClient,
DoclingClient $doclingClient,
UrlContentFetcher $urlContentFetcher,
SettingsService $settingsService,
IRootFolder $rootFolder,
IJobList $jobList,
LoggerInterface $logger
) {
$this->botSourceMapper = $botSourceMapper;
$this->embeddingMapper = $embeddingMapper;
$this->embeddingClient = $embeddingClient;
$this->doclingClient = $doclingClient;
$this->urlContentFetcher = $urlContentFetcher;
$this->settingsService = $settingsService;
$this->rootFolder = $rootFolder;
$this->jobList = $jobList;
$this->logger = $logger;
}
public function enqueueSource(int $sourceId, bool $force = false): void {
// Mark source as pending immediately so UI can show progress
try {
$source = $this->botSourceMapper->findById($sourceId);
$source->setStatus('pending');
$source->setErrorMessage(null);
$source->setProgress(0);
$source->setProgressStage(null);
$source->setProgressCurrent(0);
$source->setProgressTotal(0);
$source->setUpdatedAt(time());
$this->botSourceMapper->update($source);
} catch (Exception $e) {
$this->logger->warning('Failed to mark source as pending before queuing', [
'sourceId' => $sourceId,
'exception' => $e,
]);
}
$this->jobList->add(ReindexBotSourceJob::class, [
'sourceId' => $sourceId,
'force' => $force,
]);
}
public function ingestSourceById(int $sourceId, bool $force = false): void {
$source = $this->botSourceMapper->findById($sourceId);
$this->ingestSource($source, $force);
}
/**
* Update progress tracking fields on a source
*/
private function updateProgress(BotSource $source, string $stage, int $progress, int $current, int $total): void {
$source->setProgressStage($stage);
$source->setProgress($progress);
$source->setProgressCurrent($current);
$source->setProgressTotal($total);
$source->setUpdatedAt(time());
$this->botSourceMapper->update($source);
}
/**
* Reset progress tracking fields
*/
private function resetProgress(BotSource $source): void {
$source->setProgress(0);
$source->setProgressCurrent(0);
$source->setProgressTotal(0);
$source->setProgressStage(null);
}
public function ingestSource(BotSource $source, bool $force = false): void {
$now = time();
$source->setUpdatedAt($now);
$source->setStatus('pending');
$source->setErrorMessage(null);
$this->resetProgress($source);
$this->botSourceMapper->update($source);
$ragConfig = $this->settingsService->getRagConfig();
if (!$ragConfig['rag_enabled']) {
$source->setStatus('error');
$source->setErrorMessage('RAG is disabled by the administrator');
$source->setUpdatedAt(time());
$this->resetProgress($source);
$this->botSourceMapper->update($source);
return;
}
try {
// Handle URL sources differently
if ($source->getNodeType() === 'url') {
$this->ingestUrlSource($source, $force, $ragConfig);
return;
}
// Handle file/folder sources
$this->ingestFileSource($source, $force, $ragConfig);
} catch (Exception $e) {
$this->logger->error('RAG ingestion failed', [
'sourceId' => $source->getId(),
'exception' => $e,
]);
$source->setStatus('error');
$source->setErrorMessage($e->getMessage());
$source->setUpdatedAt(time());
$this->resetProgress($source);
$this->botSourceMapper->update($source);
}
}
/**
* Ingest a URL source
*
* @param array<string,mixed> $ragConfig
*/
private function ingestUrlSource(BotSource $source, bool $force, array $ragConfig): void {
$url = $source->getSourceUrl();
if ($url === null || $url === '') {
throw new Exception('URL source has no URL configured');
}
$this->logger->info('Ingesting URL source', [
'sourceId' => $source->getId(),
'url' => $url,
]);
// Stage 1: Fetching URL (0-20%)
$this->updateProgress($source, 'collecting', 0, 0, 1);
$fetchResult = $this->urlContentFetcher->fetchAndExtract($url);
$content = $fetchResult['content'];
$contentType = $fetchResult['content_type'];
if ($content === '') {
throw new Exception('No content could be extracted from URL');
}
$this->updateProgress($source, 'collecting', 20, 1, 1);
// Stage 2: Chunking (20-30%)
$chunkSize = $ragConfig['rag_chunk_size'] ?? 750;
if ($chunkSize <= 0) {
$chunkSize = 750;
}
$chunkOverlap = $ragConfig['rag_chunk_overlap'] ?? 50;
if ($chunkOverlap < 0) {
$chunkOverlap = 0;
}
$this->updateProgress($source, 'extracting', 20, 0, 1);
$checksumSeed = sha1($content);
$segments = $this->chunkText($content, $chunkSize, $chunkOverlap);
$chunks = [];
foreach ($segments as $idx => $segment) {
$chunks[] = [
'text' => $segment,
'metadata' => [
'url' => $url,
'content_type' => $contentType,
'offset' => $idx,
'size' => strlen($segment),
],
];
}
if (count($chunks) === 0) {
throw new Exception('Unable to extract text content from URL');
}
$this->updateProgress($source, 'extracting', 30, 1, 1);
// Check checksum
$newChecksum = sha1($checksumSeed);
if (!$force && $source->getChecksum() !== null && $source->getChecksum() === $newChecksum) {
$source->setStatus('ready');
$source->setUpdatedAt(time());
$source->setLastIndexedAt(time());
$source->setProgress(100);
$source->setProgressStage('ready');
$this->botSourceMapper->update($source);
return;
}
// Stage 3: Generate and store embeddings
$this->generateAndStoreEmbeddings($source, $chunks, $newChecksum);
}
/**
* Ingest a file/folder source
*
* @param array<string,mixed> $ragConfig
*/
private function ingestFileSource(BotSource $source, bool $force, array $ragConfig): void {
// Stage 1: Collecting files (0-5%)
$this->updateProgress($source, 'collecting', 0, 0, 0);
$ownerFolder = $this->rootFolder->getUserFolder($source->getOwnerUid());
// Try to resolve the target node - if the file/folder was deleted, clean up
try {
$targetNode = $this->resolveTargetNode($source, $ownerFolder);
} catch (Exception $e) {
// File/folder no longer exists - clean up embeddings and mark as deleted
$this->logger->info('RAG source file/folder no longer exists, cleaning up embeddings', [
'sourceId' => $source->getId(),
'nodeId' => $source->getNodeId(),
]);
$this->embeddingMapper->deleteBySource($source->getId());
$source->setStatus('error');
$source->setErrorMessage('File or folder no longer exists. Embeddings have been cleaned up. You can remove this source.');
$source->setChecksum(null);
$source->setUpdatedAt(time());
$this->resetProgress($source);
$this->botSourceMapper->update($source);
return;
}
$files = $this->collectFiles($targetNode, $ownerFolder->getPath());
$totalFiles = count($files);
if ($totalFiles === 0) {
throw new Exception('No readable files found for source');
}
$this->updateProgress($source, 'collecting', 5, $totalFiles, $totalFiles);
$chunkSize = $ragConfig['rag_chunk_size'] ?? 750;
if ($chunkSize <= 0) {
$chunkSize = 750;
}
$chunkOverlap = $ragConfig['rag_chunk_overlap'] ?? 50;
if ($chunkOverlap < 0) {
$chunkOverlap = 0;
}
$chunks = [];
$checksumSeed = '';
// Stage 2: Extracting text (5-30%)
$this->updateProgress($source, 'extracting', 5, 0, $totalFiles);
$extractionErrors = [];
foreach ($files as $fileIndex => $fileInfo) {
[$file, $relativePath] = $fileInfo;
$extractionError = null;
$content = $this->extractText($file, $extractionError);
if ($content === '') {
if ($extractionError !== null) {
$extractionErrors[] = $relativePath . ': ' . $extractionError;
}
continue;
}
$checksumSeed .= sha1($content);
$segments = $this->chunkText($content, $chunkSize, $chunkOverlap);
foreach ($segments as $idx => $segment) {
$chunks[] = [
'text' => $segment,
'metadata' => [
'path' => $relativePath,
'offset' => $idx,
'size' => strlen($segment),
],
];
}
// Update progress: 5% to 30% during extraction
$extractProgress = 5 + (int)(($fileIndex + 1) / $totalFiles * 25);
$this->updateProgress($source, 'extracting', $extractProgress, $fileIndex + 1, $totalFiles);
}
if (count($chunks) === 0) {
if (count($extractionErrors) > 0) {
$lastExtractionError = $extractionErrors[count($extractionErrors) - 1];
throw new Exception('Unable to extract text content for ingestion. Last extraction error: ' . $lastExtractionError);
}
throw new Exception('Unable to extract text content for ingestion');
}
// Stage 3: Chunking complete, check checksum (30-35%)
$this->updateProgress($source, 'chunking', 30, count($chunks), count($chunks));
$newChecksum = sha1($checksumSeed);
if (!$force && $source->getChecksum() !== null && $source->getChecksum() === $newChecksum) {
// Content unchanged, skip embedding
$source->setStatus('ready');
$source->setUpdatedAt(time());
$source->setLastIndexedAt(time());
$source->setProgress(100);
$source->setProgressStage('ready');
$this->botSourceMapper->update($source);
return;
}
$this->updateProgress($source, 'chunking', 35, count($chunks), count($chunks));
// Generate and store embeddings
$this->generateAndStoreEmbeddings($source, $chunks, $newChecksum);
}
/**
* Generate embeddings and store them in the database
*
* @param array<int,array{text:string,metadata:array<string,mixed>}> $chunks
*/
private function generateAndStoreEmbeddings(BotSource $source, array $chunks, string $newChecksum): void {
// Stage 4: Generating embeddings (35-90%)
$totalChunks = count($chunks);
$this->updateProgress($source, 'embedding', 35, 0, $totalChunks);
$embeddingModel = $this->embeddingClient->getActiveModel();
// Process embeddings in batches to provide more granular progress updates
$batchSize = 50;
$allEmbeddings = [];
$chunkTexts = array_column($chunks, 'text');
for ($i = 0; $i < $totalChunks; $i += $batchSize) {
$batchTexts = array_slice($chunkTexts, $i, $batchSize);
$batchEmbeddings = $this->embeddingClient->embedTexts($batchTexts, $embeddingModel);
$allEmbeddings = array_merge($allEmbeddings, $batchEmbeddings);
// Update progress: 35% to 90% during embedding
$processedCount = min($i + $batchSize, $totalChunks);
$embeddingProgress = 35 + (int)(($processedCount / $totalChunks) * 55);
$this->updateProgress($source, 'embedding', $embeddingProgress, $processedCount, $totalChunks);
}
// Stage 5: Storing embeddings (90-100%)
$this->updateProgress($source, 'storing', 90, 0, $totalChunks);
$this->embeddingMapper->deleteBySource($source->getId());
foreach ($allEmbeddings as $index => $vector) {
$chunk = $chunks[$index];
$embedding = new Embedding();
$embedding->setBotId($source->getBotId());
$embedding->setSourceId($source->getId());
$embedding->setChunkId($source->getId() . ':' . $index);
$embedding->setChunkText($chunk['text']);
$embedding->setEmbedding(json_encode($vector) ?: '[]');
$embedding->setEmbeddingModel($embeddingModel);
$embedding->setTokenCount(strlen($chunk['text']));
$embedding->setMetadata(json_encode($chunk['metadata']) ?: '{}');
$embedding->setScore(null);
$embedding->setCreatedAt(time());
$embedding->setUpdatedAt(time());
$this->embeddingMapper->insert($embedding);
// Update progress during storing (90-99%)
if ($index % 10 === 0 || $index === $totalChunks - 1) {
$storeProgress = 90 + (int)(($index + 1) / $totalChunks * 9);
$this->updateProgress($source, 'storing', $storeProgress, $index + 1, $totalChunks);
}
}
// Complete
$source->setChecksum($newChecksum);
$source->setStatus('ready');
$source->setLastIndexedAt(time());
$source->setUpdatedAt(time());
$source->setProgress(100);
$source->setProgressStage('ready');
$source->setProgressCurrent($totalChunks);
$source->setProgressTotal($totalChunks);
$this->botSourceMapper->update($source);
}
/**
* @return array<int,array{0:File,1:string}>
*/
private function collectFiles(Node $node, string $basePath): array {
$result = [];
if ($node instanceof File) {
$result[] = [$node, $this->relativePath($node, $basePath)];
return $result;
}
if ($node instanceof Folder) {
foreach ($node->getDirectoryListing() as $child) {
if ($child instanceof Folder) {
$result = array_merge($result, $this->collectFiles($child, $basePath));
} elseif ($child instanceof File) {
$result[] = [$child, $this->relativePath($child, $basePath)];
}
}
}
return $result;
}
private function extractText(File $file, ?string &$extractionError = null): string {
$mime = $file->getMimeType();
$extractionError = null;
// First, try Docling for supported binary formats (PDF, DOCX, etc.)
if ($this->doclingClient->isEnabled() && $this->doclingClient->isSupported($file)) {
try {
$this->logger->debug('Using Docling for file extraction', [
'file' => $file->getName(),
'mime' => $mime,
]);
$markdown = $this->doclingClient->convertToMarkdown($file);
// Ensure valid UTF-8
return mb_convert_encoding($markdown, 'UTF-8', 'UTF-8');
} catch (Exception $e) {
$this->logger->warning('Docling conversion failed, falling back to text extraction', [
'file' => $file->getName(),
'error' => $e->getMessage(),
]);
$extractionError = $e->getMessage();
// Fall through to text extraction if Docling fails
}
}
// Standard text extraction for text files
try {
if (strpos($mime, 'text/') === 0 || in_array($mime, ['application/json', 'application/xml'], true)) {
$content = (string)$file->getContent();
// Ensure valid UTF-8 to avoid json_encode errors
return mb_convert_encoding($content, 'UTF-8', 'UTF-8');
}
} catch (Exception $e) {
$this->logger->warning('Failed to read file during ingestion', [
'path' => $file->getPath(),
'exception' => $e,
]);
$extractionError = $e->getMessage();
}
return '';
}
/**
* @return array<int,string>
*/
private function chunkText(string $text, int $chunkSize, int $overlap): array {
$chunks = [];
$length = mb_strlen($text, 'UTF-8');
$offset = 0;
if ($chunkSize <= 0) {
return [$text];
}
while ($offset < $length) {
$chunk = mb_substr($text, $offset, $chunkSize, 'UTF-8');
if ($chunk === '') {
break;
}
$chunks[] = $chunk;
$offset += $chunkSize - $overlap;
if ($offset < 0 || $offset >= $length) {
break;
}
}
return $chunks;
}
private function resolveTargetNode(BotSource $source, Folder $userFolder): Node {
$nodes = $userFolder->getById($source->getNodeId());
if (is_array($nodes) && count($nodes) > 0) {
$node = $nodes[0];
if ($node instanceof Node) {
return $node;
}
}
throw new Exception('Unable to resolve file or folder for ingestion');
}
private function relativePath(Node $node, string $rootPath): string {
$fullPath = $node->getPath();
if (str_starts_with($fullPath, $rootPath)) {
return ltrim(substr($fullPath, strlen($rootPath)), '/');
}
return $node->getName();
}
}