{
"event": "PreToolUse",
"tool_name": "Edit",
"tool_input": {
"file_path": "\/var\/www\/dev.campus.systemische-tools.de\/src\/UseCases\/Chat\/StreamingChatMessageUseCase.php",
"old_string": " public function __construct(\n private OllamaService $ollama,\n private QdrantService $qdrant,\n private ClaudeService $claude,\n ScoringService $scoring,\n private ChatSessionRepositoryInterface $sessionRepo,\n private ChatMessageRepositoryInterface $messageRepo,\n private ChatPromptLoader $promptLoader,\n private ContentQualityValidator $qualityValidator,\n private RagContextBuilder $ragBuilder\n ) {\n \/\/ $scoring kept for BC but no longer used - ContentSearchService handles reranking\n unset($scoring);\n }",
"new_string": " public function __construct(\n private OllamaService $ollama,\n private QdrantService $qdrant,\n private ClaudeService $claude,\n ScoringService $scoring,\n private ChatSessionRepositoryInterface $sessionRepo,\n private ChatMessageRepositoryInterface $messageRepo,\n private ChatPromptLoader $promptLoader,\n private ContentQualityValidator $qualityValidator,\n private RagContextBuilder $ragBuilder,\n private KiProtokollService $protokollService\n ) {\n \/\/ $scoring kept for BC but no longer used - ContentSearchService handles reranking\n unset($scoring);\n }"
}
}
{
"tool_response": {
"filePath": "\/var\/www\/dev.campus.systemische-tools.de\/src\/UseCases\/Chat\/StreamingChatMessageUseCase.php",
"oldString": " public function __construct(\n private OllamaService $ollama,\n private QdrantService $qdrant,\n private ClaudeService $claude,\n ScoringService $scoring,\n private ChatSessionRepositoryInterface $sessionRepo,\n private ChatMessageRepositoryInterface $messageRepo,\n private ChatPromptLoader $promptLoader,\n private ContentQualityValidator $qualityValidator,\n private RagContextBuilder $ragBuilder\n ) {\n \/\/ $scoring kept for BC but no longer used - ContentSearchService handles reranking\n unset($scoring);\n }",
"newString": " public function __construct(\n private OllamaService $ollama,\n private QdrantService $qdrant,\n private ClaudeService $claude,\n ScoringService $scoring,\n private ChatSessionRepositoryInterface $sessionRepo,\n private ChatMessageRepositoryInterface $messageRepo,\n private ChatPromptLoader $promptLoader,\n private ContentQualityValidator $qualityValidator,\n private RagContextBuilder $ragBuilder,\n private KiProtokollService $protokollService\n ) {\n \/\/ $scoring kept for BC but no longer used - ContentSearchService handles reranking\n unset($scoring);\n }",
"originalFile": "<?php\n\ndeclare(strict_types=1);\n\nnamespace UseCases\\Chat;\n\n\/\/ @responsibility: Orchestriert Chat-Nachrichten mit SSE-Progress-Events\n\nuse Domain\\Constants;\nuse Domain\\Repository\\ChatMessageRepositoryInterface;\nuse Domain\\Repository\\ChatSessionRepositoryInterface;\nuse Infrastructure\\AI\\ClaudeService;\nuse Infrastructure\\AI\\ContentQualityValidator;\nuse Infrastructure\\AI\\OllamaService;\nuse Infrastructure\\AI\\QdrantService;\nuse Infrastructure\\AI\\ScoringService;\nuse Infrastructure\\Logging\\KiProtokollService;\n\nclass StreamingChatMessageUseCase\n{\n \/** @var callable|null *\/\n private $progressCallback;\n\n private float $stepStart = 0.0;\n\n public function __construct(\n private OllamaService $ollama,\n private QdrantService $qdrant,\n private ClaudeService $claude,\n ScoringService $scoring,\n private ChatSessionRepositoryInterface $sessionRepo,\n private ChatMessageRepositoryInterface $messageRepo,\n private ChatPromptLoader $promptLoader,\n private ContentQualityValidator $qualityValidator,\n private RagContextBuilder $ragBuilder\n ) {\n \/\/ $scoring kept for BC but no longer used - ContentSearchService handles reranking\n unset($scoring);\n }\n\n \/**\n * Set progress callback for SSE events\n *\n * @param callable $callback fn(string $step, string $message, ?int $durationMs): void\n *\/\n public function setProgressCallback(callable $callback): void\n {\n $this->progressCallback = $callback;\n }\n\n private function emit(string $step, string $message, ?int $durationMs = null): void\n {\n if ($this->progressCallback !== null) {\n ($this->progressCallback)($step, $message, $durationMs);\n }\n }\n\n private function startStep(): void\n {\n $this->stepStart = microtime(true);\n }\n\n private function endStep(string $step, string $message): void\n {\n $durationMs = (int) round((microtime(true) - $this->stepStart) * Constants::MS_PER_SECOND);\n $this->emit($step, $message, $durationMs);\n }\n\n \/** Execute chat with streaming progress. @param array<string> $collections *\/\n public function execute(\n string $sessionUuid, string $message, string $model, array $collections = ['documents'],\n int $contextLimit = 5, int $authorProfileId = 0, int $systemPromptId = 1,\n float $temperature = 0.7, int $maxTokens = 4096, int $structureId = 0, bool $qualityCheck = false\n ): ChatResponse {\n $totalStart = microtime(true);\n \/\/ Step 1: Validate session\n $this->emit('session', 'Session validieren...');\n $this->startStep();\n $session = $this->sessionRepo->findByUuid($sessionUuid);\n if ($session === null) {\n $this->emit('error', 'Session nicht gefunden');\n return ChatResponse::error('Session nicht gefunden.');\n }\n $sessionId = $session->getId() ?? 0;\n $this->endStep('session_done', 'Session validiert');\n \/\/ Step 2: Validate message\n $message = trim($message);\n if ($message === '') {\n $this->emit('error', 'Keine Nachricht');\n return ChatResponse::error('Bitte gib eine Frage ein.');\n }\n \/\/ Step 3: Save user message\n $this->emit('save_user', 'User-Nachricht speichern...');\n $this->startStep();\n $this->messageRepo->save(sessionId: $sessionId, role: 'user', content: $message, model: $model);\n $this->endStep('save_user_done', 'User-Nachricht gespeichert');\n \/\/ Step 4: Auto-set title\n $currentTitle = $session->getTitle();\n if ($currentTitle === null || $currentTitle === 'Neuer Chat') {\n $this->sessionRepo->updateTitle($sessionId, mb_substr($message, 0, 50) . (mb_strlen($message) > 50 ? '...' : ''));\n }\n \/\/ Step 5: Get prompts\n $this->emit('prompts', 'Prompts laden...');\n $this->startStep();\n $stylePrompt = $this->promptLoader->getStylePrompt($authorProfileId);\n $systemPrompt = $this->promptLoader->getSystemPrompt($systemPromptId);\n $structurePrompt = $this->promptLoader->getStructurePrompt($structureId);\n if ($structurePrompt !== null) {\n $systemPrompt = ($systemPrompt ?? '') . \"\\n\\n\" . $structurePrompt;\n }\n $this->endStep('prompts_done', 'Prompts geladen');\n\n \/\/ RAG Pipeline\n $searchResults = [];\n $context = '';\n if ($collections !== []) {\n \/\/ Step 6+7: Semantic search\n $this->emit('search', 'Semantische Suche in ' . count($collections) . ' Collection(s)...');\n $this->startStep();\n $searchResults = $this->ragBuilder->search($message, $collections, $contextLimit);\n \/\/ Add Qdrant fallback for non-documents collections\n $searchResults = $this->addQdrantFallback($searchResults, $message, $collections, $contextLimit);\n $semanticCount = count(array_filter($searchResults, static fn ($r) => isset($r['intent'])));\n $this->endStep('search_done', count($searchResults) . ' Chunks gefunden (' . $semanticCount . ' mit Semantik)');\n\n \/\/ Step 8: Build context\n if ($searchResults !== []) {\n $this->emit('context', 'Kontext aufbauen...');\n $this->startStep();\n $context = $this->ragBuilder->buildContext($searchResults);\n $this->endStep('context_done', 'Kontext erstellt (' . strlen($context) . ' Zeichen)');\n }\n }\n\n \/\/ Step 9: LLM Request\n $isOllama = str_starts_with($model, 'ollama:');\n $isClaude = str_starts_with($model, 'claude-');\n $hasContext = $context !== '';\n $this->emit('llm', 'Anfrage an ' . ($isOllama ? substr($model, 7) : $model) . '...');\n $this->startStep();\n $llmStart = microtime(true);\n try {\n if ($isClaude) {\n $userPrompt = $hasContext ? $this->claude->buildRagPrompt($message, $context) : $message;\n $effectiveSystemPrompt = $systemPrompt ?? ($hasContext ? $this->claude->getDefaultSystemPrompt() : 'Du bist ein hilfreicher Assistent. Antworte auf Deutsch, präzise und hilfreich.');\n if ($stylePrompt !== null && $stylePrompt !== '') { $effectiveSystemPrompt .= \"\\n\\n\" . $stylePrompt; }\n $llmResponse = $this->claude->ask($userPrompt, $effectiveSystemPrompt, $model, $maxTokens, $temperature);\n $answer = $llmResponse['text'];\n $usage = $llmResponse['usage'];\n } elseif ($isOllama) {\n $ollamaModel = substr($model, 7);\n $instructions = array_filter([$systemPrompt, $stylePrompt]);\n $instructionBlock = $instructions !== [] ? implode(\"\\n\\n\", $instructions) . \"\\n\\n\" : '';\n $userPrompt = $hasContext ? sprintf(\"%sKontext:\\n\\n%s\\n\\n---\\n\\nFrage: %s\", $instructionBlock, $context, $message) : $instructionBlock . $message;\n $answer = $this->ollama->generate($userPrompt, $ollamaModel, $temperature);\n $usage = null;\n } else {\n $this->emit('error', \"Unbekanntes Modell: {$model}\");\n return ChatResponse::error(\"Unknown model \\\"{$model}\\\".\");\n }\n } catch (\\RuntimeException $e) {\n $this->emit('error', 'LLM-Fehler: ' . $e->getMessage());\n return ChatResponse::error('LLM request failed: ' . $e->getMessage());\n }\n $llmDuration = (int) round((microtime(true) - $llmStart) * Constants::MS_PER_SECOND);\n $tokenInfo = $usage !== null ? \" ({$usage['input_tokens']} in \/ {$usage['output_tokens']} out)\" : '';\n $this->emit('llm_done', \"Antwort erhalten{$tokenInfo}\", $llmDuration);\n \/\/ Step 10: Extract sources\n $this->emit('sources', 'Quellen extrahieren...');\n $this->startStep();\n $sources = $this->ragBuilder->extractSources($searchResults);\n $this->endStep('sources_done', count($sources) . ' Quellen extrahiert');\n \/\/ Step 11: Save assistant message\n $this->emit('save_assistant', 'Antwort speichern...');\n $this->startStep();\n $sourcesForStorage = array_map(static fn (array $s): string => json_encode($s, JSON_THROW_ON_ERROR), $sources);\n $this->messageRepo->save(\n sessionId: $sessionId, role: 'assistant', content: $answer, model: $model,\n tokensInput: $usage['input_tokens'] ?? null, tokensOutput: $usage['output_tokens'] ?? null,\n sources: $sourcesForStorage, startMicrotime: $llmStart, endMicrotime: microtime(true),\n authorProfileId: $authorProfileId > 0 ? $authorProfileId : null,\n systemPromptId: $systemPromptId > 0 ? $systemPromptId : null,\n collectionsJson: json_encode($collections), contextLimit: $contextLimit\n );\n $this->endStep('save_assistant_done', 'Antwort gespeichert');\n\n \/\/ Step 12: Quality check\n $qualityValidation = null;\n if ($qualityCheck) {\n $this->emit('quality', 'Qualitätsprüfung...');\n $this->startStep();\n $structureName = $structureId > 0 ? $this->promptLoader->getStructureName($structureId) : null;\n $qualityValidation = $this->qualityValidator->validate(\n question: $message,\n answer: $answer,\n sources: $sources,\n structureName: $structureName\n );\n $score = round($qualityValidation['score']);\n $this->endStep('quality_done', \"Qualität: {$score}%\");\n }\n\n \/\/ Final\n $totalDuration = (int) round((microtime(true) - $totalStart) * Constants::MS_PER_SECOND);\n $this->emit('complete', \"Fertig in {$totalDuration}ms\", $totalDuration);\n\n \/\/ Build response\n $result = [\n 'answer' => $answer,\n 'sources' => $sources,\n 'usage' => $usage,\n 'chunks_used' => count($searchResults),... [TRUNCATED-4e3a52a032e23af2]",
"structuredPatch": [
{
"oldStart": 32,
"oldLines": 7,
"newStart": 32,
"newLines": 8,
"lines": [
" private ChatMessageRepositoryInterface $messageRepo,",
" private ChatPromptLoader $promptLoader,",
" private ContentQualityValidator $qualityValidator,",
"- private RagContextBuilder $ragBuilder",
"+ private RagContextBuilder $ragBuilder,",
"+ private KiProtokollService $protokollService",
" ) {",
" \/\/ $scoring kept for BC but no longer used - ContentSearchService handles reranking",
" unset($scoring);"
]
}
],
"userModified": false,
"replaceAll": false
}
}