Protokoll #14964

ID14964
Zeitstempel2025-12-25 13:00:11.708252
Clientroot
IP145.224.72.140
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens1,371 (Input: 683, Output: 688)
Dauer103 ms
Request-Zeit2025-12-25 13:00:11.708252
Response-Zeit2025-12-25 13:00:11.811646

Request

{
    "event": "PreToolUse",
    "tool_name": "Write",
    "tool_input": {
        "file_path": "\/var\/www\/dev.campus.systemische-tools.de\/src\/Infrastructure\/Docs\/ChunkSearchService.php",
        "content": "<?php\n\ndeclare(strict_types=1);\n\nnamespace Infrastructure\\Docs;\n\n\/\/ @responsibility: Semantische Suche in Dokumentations-Chunks via Qdrant\n\nuse Infrastructure\\AI\\OllamaService;\nuse Infrastructure\\AI\\QdrantClient;\n\nfinal class ChunkSearchService\n{\n    private const string COLLECTION = 'dokumentation_chunks';\n\n    public function __construct(\n        private QdrantClient $qdrant,\n        private OllamaService $ollama\n    ) {\n    }\n\n    \/**\n     * Searches for similar chunks using semantic search.\n     *\n     * @param array<string, mixed>|null $filter Optional filter for taxonomy\/entities\n     * @return array<array{id: int, doc_id: int, path: string, title: string, content: string, score: float, taxonomy: array<string>, entities: array<mixed>}>\n     *\/\n    public function search(string $query, int $limit = 5, ?array $filter = null): array\n    {\n        $embedding = $this->ollama->getEmbedding($query);\n\n        $results = $this->qdrant->search(self::COLLECTION, $embedding, $limit, $filter);\n\n        return array_map(static function (array $item): array {\n            $payload = $item['payload'] ?? [];\n\n            return [\n                'id' => (int) ($payload['chunk_id'] ?? 0),\n                'doc_id' => (int) ($payload['doc_id'] ?? 0),\n                'path' => (string) ($payload['path'] ?? ''),\n                'title' => (string) ($payload['title'] ?? ''),\n                'content' => (string) ($payload['content_preview'] ?? ''),\n                'score' => (float) ($item['score'] ?? 0),\n                'taxonomy' => is_array($payload['taxonomy'] ?? null) ? $payload['taxonomy'] : [],\n                'entities' => is_array($payload['entities'] ?? null) ? $payload['entities'] : [],\n            ];\n        }, $results);\n    }\n\n    \/**\n     * Searches with taxonomy filter.\n     *\n     * @return array<array<string, mixed>>\n     *\/\n    public function searchByTaxonomy(string $query, string $category, int $limit = 5): array\n    {\n        $filter = [\n            'must' => [\n                [\n                    'key' => 'taxonomy_category',\n                    'match' => ['value' => $category],\n                ],\n            ],\n        ];\n\n        return $this->search($query, $limit, $filter);\n    }\n\n    \/**\n     * Gets collection statistics.\n     *\n     * @return array{points_count: int, status: string}|null\n     *\/\n    public function getStats(): ?array\n    {\n        return $this->qdrant->getCollectionStats(self::COLLECTION);\n    }\n}\n"
    }
}

Response

{
    "tool_response": {
        "type": "create",
        "filePath": "\/var\/www\/dev.campus.systemische-tools.de\/src\/Infrastructure\/Docs\/ChunkSearchService.php",
        "content": "<?php\n\ndeclare(strict_types=1);\n\nnamespace Infrastructure\\Docs;\n\n\/\/ @responsibility: Semantische Suche in Dokumentations-Chunks via Qdrant\n\nuse Infrastructure\\AI\\OllamaService;\nuse Infrastructure\\AI\\QdrantClient;\n\nfinal class ChunkSearchService\n{\n    private const string COLLECTION = 'dokumentation_chunks';\n\n    public function __construct(\n        private QdrantClient $qdrant,\n        private OllamaService $ollama\n    ) {\n    }\n\n    \/**\n     * Searches for similar chunks using semantic search.\n     *\n     * @param array<string, mixed>|null $filter Optional filter for taxonomy\/entities\n     * @return array<array{id: int, doc_id: int, path: string, title: string, content: string, score: float, taxonomy: array<string>, entities: array<mixed>}>\n     *\/\n    public function search(string $query, int $limit = 5, ?array $filter = null): array\n    {\n        $embedding = $this->ollama->getEmbedding($query);\n\n        $results = $this->qdrant->search(self::COLLECTION, $embedding, $limit, $filter);\n\n        return array_map(static function (array $item): array {\n            $payload = $item['payload'] ?? [];\n\n            return [\n                'id' => (int) ($payload['chunk_id'] ?? 0),\n                'doc_id' => (int) ($payload['doc_id'] ?? 0),\n                'path' => (string) ($payload['path'] ?? ''),\n                'title' => (string) ($payload['title'] ?? ''),\n                'content' => (string) ($payload['content_preview'] ?? ''),\n                'score' => (float) ($item['score'] ?? 0),\n                'taxonomy' => is_array($payload['taxonomy'] ?? null) ? $payload['taxonomy'] : [],\n                'entities' => is_array($payload['entities'] ?? null) ? $payload['entities'] : [],\n            ];\n        }, $results);\n    }\n\n    \/**\n     * Searches with taxonomy filter.\n     *\n     * @return array<array<string, mixed>>\n     *\/\n    public function searchByTaxonomy(string $query, string $category, int $limit = 5): array\n    {\n        $filter = [\n            'must' => [\n                [\n                    'key' => 'taxonomy_category',\n                    'match' => ['value' => $category],\n                ],\n            ],\n        ];\n\n        return $this->search($query, $limit, $filter);\n    }\n\n    \/**\n     * Gets collection statistics.\n     *\n     * @return array{points_count: int, status: string}|null\n     *\/\n    public function getStats(): ?array\n    {\n        return $this->qdrant->getCollectionStats(self::COLLECTION);\n    }\n}\n",
        "structuredPatch": [],
        "originalFile": null
    }
}
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