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"filePath": "\/var\/www\/dev.campus.systemische-tools.de\/src\/Controller\/Api\/ChatController.php",
"oldString": " if ($query === '') {\n $this->json(['error' => 'Keine Suchanfrage'], 400);\n\n return;\n }\n\n try {\n $results = $this->searchChunks($query, $limit);",
"newString": " if ($query === '') {\n $this->json(['error' => 'Keine Suchanfrage'], 400);\n\n return;\n }\n\n \/\/ Release session lock before embedding generation\n session_write_close();\n\n try {\n $results = $this->searchChunks($query, $limit);",
"originalFile": "<?php\n\ndeclare(strict_types=1);\n\nnamespace Controller\\Api;\n\n\/\/ @responsibility: REST-API für KI-Chat und Vektor-Suche\n\nuse Domain\\Repository\\ChunkExplorerRepositoryInterface;\nuse Domain\\Repository\\DokumentExplorerRepositoryInterface;\nuse Domain\\Repository\\SeiteExplorerRepositoryInterface;\nuse Framework\\Controller;\nuse Infrastructure\\AI\\ChatService;\nuse Infrastructure\\AI\\OllamaService;\nuse Infrastructure\\AI\\QdrantService;\n\nclass ChatController extends Controller\n{\n private ChatService $chatService;\n private OllamaService $ollamaService;\n private QdrantService $qdrantService;\n private DokumentExplorerRepositoryInterface $dokumentRepository;\n private SeiteExplorerRepositoryInterface $seiteRepository;\n private ChunkExplorerRepositoryInterface $chunkRepository;\n\n public function __construct(\n ChatService $chatService,\n OllamaService $ollamaService,\n QdrantService $qdrantService,\n DokumentExplorerRepositoryInterface $dokumentRepository,\n SeiteExplorerRepositoryInterface $seiteRepository,\n ChunkExplorerRepositoryInterface $chunkRepository\n ) {\n $this->chatService = $chatService;\n $this->ollamaService = $ollamaService;\n $this->qdrantService = $qdrantService;\n $this->dokumentRepository = $dokumentRepository;\n $this->seiteRepository = $seiteRepository;\n $this->chunkRepository = $chunkRepository;\n }\n\n \/**\n * POST \/api\/v1\/chat\n * Handle chat message\n *\/\n public function send(): void\n {\n $input = $this->getJsonInput();\n $question = trim($input['message'] ?? '');\n\n if ($question === '') {\n $this->json(['error' => 'Keine Frage angegeben'], 400);\n\n return;\n }\n\n \/\/ Release session lock before long-running LLM call\n session_write_close();\n\n try {\n $result = $this->askChat($question);\n $this->json($result);\n } catch (\\Exception $e) {\n error_log(sprintf('[API.Chat.send] %s: %s', get_class($e), $e->getMessage()));\n $this->json(['error' => $e->getMessage()], 500);\n }\n }\n\n \/**\n * GET \/api\/v1\/chat\/search\n * Search for relevant chunks\n *\/\n public function search(): void\n {\n $query = $this->getString('q');\n $limit = $this->getInt('limit', 5);\n\n if ($query === '') {\n $this->json(['error' => 'Keine Suchanfrage'], 400);\n\n return;\n }\n\n try {\n $results = $this->searchChunks($query, $limit);\n $this->json(['results' => $results]);\n } catch (\\Exception $e) {\n error_log(sprintf('[API.Chat.search] %s: %s', get_class($e), $e->getMessage()));\n $this->json(['error' => $e->getMessage()], 500);\n }\n }\n\n \/**\n * GET \/api\/v1\/chat\/stats\n * Get chat\/document statistics (Doc2Vector Pipeline)\n *\/\n public function stats(): void\n {\n try {\n $chunkStats = $this->chunkRepository->getChunkStats();\n\n $stats = [\n 'dokumente' => $this->dokumentRepository->countDokumente(),\n 'seiten' => $this->seiteRepository->countSeiten(),\n 'chunks' => $chunkStats['total'],\n 'tokens' => $chunkStats['tokens'],\n 'analyzed' => $chunkStats['analyzed'],\n 'synced' => $chunkStats['synced'],\n ];\n\n $this->json($stats);\n } catch (\\Exception $e) {\n error_log(sprintf('[API.Chat.stats] %s: %s', get_class($e), $e->getMessage()));\n $this->json(['error' => $e->getMessage()], 500);\n }\n }\n\n \/**\n * Ask chat question using ChatService\n *\n * @param string $question User's question\n *\n * @return array<string, mixed> Chat response with answer and sources\n *\n * @throws \\RuntimeException If chat service fails\n *\/\n private function askChat(string $question): array\n {\n try {\n \/\/ Use dokumentation_chunks collection for RAG\n return $this->chatService->chat($question, 'claude-opus-4-5-20251101', ['dokumentation_chunks'], 5);\n } catch (\\RuntimeException $e) {\n throw new \\RuntimeException('Chat-Service konnte nicht ausgeführt werden: ' . $e->getMessage(), 0, $e);\n }\n }\n\n \/**\n * Search for similar chunks using vector search\n *\n * @param string $query Search query\n * @param int $limit Maximum number of results\n *\n * @return array<int, array{id: int|string, score: float, payload: array<string, mixed>}> Search results\n *\n * @throws \\RuntimeException If search fails\n *\/\n private function searchChunks(string $query, int $limit): array\n {\n try {\n $queryEmbedding = $this->ollamaService->getEmbedding($query);\n\n \/\/ Use dokumentation_chunks collection\n return $this->qdrantService->search($queryEmbedding, 'dokumentation_chunks', $limit);\n } catch (\\RuntimeException $e) {\n throw new \\RuntimeException('Suche konnte nicht ausgeführt werden: ' . $e->getMessage(), 0, $e);\n }\n }\n}\n",
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