Protokoll #7227

{
    "event": "PreToolUse",
    "tool_name": "Edit",
    "tool_input": {
        "file_path": "\/var\/www\/dev.campus.systemische-tools.de\/src\/UseCases\/Docs\/DocumentationChatUseCase.php",
        "old_string": "<?php\n\ndeclare(strict_types=1);\n\nnamespace UseCases\\Docs;\n\nuse Infrastructure\\AI\\OllamaService;\nuse Infrastructure\\Docs\\ChunkSyncService;\n\n\/**\n * DocumentationChatUseCase - RAG-based documentation chat.\n *\n * Handles semantic search over documentation and generates\n * contextual answers using an LLM.\n *\/\nclass DocumentationChatUseCase",
        "new_string": "<?php\n\ndeclare(strict_types=1);\n\nnamespace UseCases\\Docs;\n\n\/\/ @responsibility: RAG-basierter Chat über Dokumentation\n\nuse Infrastructure\\AI\\OllamaService;\nuse Infrastructure\\Docs\\ChunkSyncService;\n\nclass DocumentationChatUseCase"
    }
}

{
    "tool_response": {
        "filePath": "\/var\/www\/dev.campus.systemische-tools.de\/src\/UseCases\/Docs\/DocumentationChatUseCase.php",
        "oldString": "<?php\n\ndeclare(strict_types=1);\n\nnamespace UseCases\\Docs;\n\nuse Infrastructure\\AI\\OllamaService;\nuse Infrastructure\\Docs\\ChunkSyncService;\n\n\/**\n * DocumentationChatUseCase - RAG-based documentation chat.\n *\n * Handles semantic search over documentation and generates\n * contextual answers using an LLM.\n *\/\nclass DocumentationChatUseCase",
        "newString": "<?php\n\ndeclare(strict_types=1);\n\nnamespace UseCases\\Docs;\n\n\/\/ @responsibility: RAG-basierter Chat über Dokumentation\n\nuse Infrastructure\\AI\\OllamaService;\nuse Infrastructure\\Docs\\ChunkSyncService;\n\nclass DocumentationChatUseCase",
        "originalFile": "<?php\n\ndeclare(strict_types=1);\n\nnamespace UseCases\\Docs;\n\nuse Infrastructure\\AI\\OllamaService;\nuse Infrastructure\\Docs\\ChunkSyncService;\n\n\/**\n * DocumentationChatUseCase - RAG-based documentation chat.\n *\n * Handles semantic search over documentation and generates\n * contextual answers using an LLM.\n *\/\nclass DocumentationChatUseCase\n{\n    private ChunkSyncService $syncService;\n    private OllamaService $ollamaService;\n\n    public function __construct(\n        ?ChunkSyncService $syncService = null,\n        ?OllamaService $ollamaService = null\n    ) {\n        $this->syncService = $syncService ?? new ChunkSyncService();\n        $this->ollamaService = $ollamaService ?? new OllamaService();\n    }\n\n    \/**\n     * Execute documentation chat.\n     *\n     * @param string $question User question\n     * @param string $model LLM model to use\n     * @param int $limit Number of context chunks\n     * @return array{answer: string, sources: array<int, array{id: int, path: string, title: string, score: float}>}\n     *\/\n    public function execute(string $question, string $model = 'mistral', int $limit = 5): array\n    {\n        \/\/ Get relevant chunks via semantic search\n        $chunks = $this->syncService->search($question, $limit);\n\n        if (empty($chunks)) {\n            return [\n                'answer' => 'Leider konnte ich keine relevanten Informationen in der Dokumentation finden.',\n                'sources' => [],\n            ];\n        }\n\n        \/\/ Build context from chunks\n        $context = $this->buildContext($chunks);\n\n        \/\/ Generate answer using LLM\n        $prompt = $this->buildPrompt($question, $context);\n        $answer = $this->ollamaService->generate($prompt, $model, 0.3);\n\n        \/\/ Map sources\n        $sources = array_map(static fn (array $chunk): array => [\n            'id' => $chunk['doc_id'],\n            'path' => $chunk['path'],\n            'title' => $chunk['title'],\n            'score' => round($chunk['score'], 3),\n        ], $chunks);\n\n        return [\n            'answer' => $answer,\n            'sources' => $sources,\n        ];\n    }\n\n    \/**\n     * Build context from chunks.\n     *\/\n    private function buildContext(array $chunks): string\n    {\n        $parts = [];\n\n        foreach ($chunks as $chunk) {\n            $part = \"## {$chunk['title']}\\n\";\n            $part .= \"Pfad: {$chunk['path']}\\n\";\n            $part .= $chunk['content'];\n            $parts[] = $part;\n        }\n\n        return implode(\"\\n\\n---\\n\\n\", $parts);\n    }\n\n    \/**\n     * Build chat prompt.\n     *\/\n    private function buildPrompt(string $question, string $context): string\n    {\n        return <<<PROMPT\n            Du bist ein Dokumentations-Assistent. Beantworte die Frage basierend auf dem bereitgestellten Kontext.\n\n            KONTEXT:\n            {$context}\n\n            FRAGE:\n            {$question}\n\n            ANLEITUNG:\n            - Antworte auf Deutsch\n            - Sei präzise und hilfreich\n            - Wenn der Kontext die Frage nicht beantwortet, sage das ehrlich\n            - Verweise auf die relevanten Abschnitte der Dokumentation\n            PROMPT;\n    }\n}\n",
        "structuredPatch": [
            {
                "oldStart": 4,
                "oldLines": 15,
                "newStart": 4,
                "newLines": 11,
                "lines": [
                    " ",
                    " namespace UseCases\\Docs;",
                    " ",
                    "+\/\/ @responsibility: RAG-basierter Chat über Dokumentation",
                    "+",
                    " use Infrastructure\\AI\\OllamaService;",
                    " use Infrastructure\\Docs\\ChunkSyncService;",
                    " ",
                    "-\/**",
                    "- * DocumentationChatUseCase - RAG-based documentation chat.",
                    "- *",
                    "- * Handles semantic search over documentation and generates",
                    "- * contextual answers using an LLM.",
                    "- *\/",
                    " class DocumentationChatUseCase",
                    " {",
                    "     private ChunkSyncService $syncService;"
                ]
            }
        ],
        "userModified": false,
        "replaceAll": false
    }
}