Protokoll #3688

ID3688
Zeitstempel2025-12-22 08:23:53.230675
Clientroot
IP
Warning: Undefined array key "request_ip" in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 13

Deprecated: htmlspecialchars(): Passing null to parameter #1 ($string) of type string is deprecated in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 13
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens3,846 (Input: 0, Output: 0)
Dauer97 ms
Request-Zeit
Warning: Undefined array key "request_timestamp" in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 18
Response-Zeit-

Warning: Undefined array key "error_message" in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 22

Request

{
    "event": "PreToolUse",
    "tool_name": "Edit",
    "tool_input": {
        "file_path": "\/var\/www\/dev.campus.systemische-tools.de\/src\/Infrastructure\/Docs\/ChunkSyncService.php",
        "old_string": "use Infrastructure\\AI\\OllamaService;\nuse Infrastructure\\Traits\\JsonDecodeTrait;\nuse PDO;\nuse RuntimeException;\n\n\/**\n * Service for synchronizing documentation chunks to Qdrant vector database.\n *\n * Syncs analyzed chunks with their embeddings and metadata to enable\n * semantic search with structured filtering.\n *\/\nfinal class ChunkSyncService\n{\n    use JsonDecodeTrait;\n\n    private const string COLLECTION = 'dokumentation_chunks';\n    private const string QDRANT_HOST = 'http:\/\/localhost:6333';\n    private const int VECTOR_SIZE = 1024;\n    private const int TIMEOUT = 60;\n    private const int BATCH_SIZE = 10;\n\n    private PDO $pdo;\n    private OllamaService $ollama;\n\n    public function __construct()\n    {\n        $this->ollama = new OllamaService();\n        $this->pdo = $this->createConnection();\n    }",
        "new_string": "use Infrastructure\\AI\\OllamaService;\nuse Infrastructure\\Config\\CredentialService;\nuse Infrastructure\\Traits\\JsonDecodeTrait;\nuse PDO;\nuse RuntimeException;\n\n\/**\n * Service for synchronizing documentation chunks to Qdrant vector database.\n *\n * Syncs analyzed chunks with their embeddings and metadata to enable\n * semantic search with structured filtering.\n *\/\nfinal class ChunkSyncService\n{\n    use JsonDecodeTrait;\n\n    private const string COLLECTION = 'dokumentation_chunks';\n    private const int VECTOR_SIZE = 1024;\n    private const int TIMEOUT = 60;\n    private const int BATCH_SIZE = 10;\n\n    private PDO $pdo;\n    private OllamaService $ollama;\n    private string $qdrantHost;\n\n    public function __construct()\n    {\n        $this->ollama = new OllamaService();\n        $this->pdo = $this->createConnection();\n        $this->qdrantHost = CredentialService::getQdrantHost();\n    }"
    }
}

Response

{
    "tool_response": {
        "filePath": "\/var\/www\/dev.campus.systemische-tools.de\/src\/Infrastructure\/Docs\/ChunkSyncService.php",
        "oldString": "use Infrastructure\\AI\\OllamaService;\nuse Infrastructure\\Traits\\JsonDecodeTrait;\nuse PDO;\nuse RuntimeException;\n\n\/**\n * Service for synchronizing documentation chunks to Qdrant vector database.\n *\n * Syncs analyzed chunks with their embeddings and metadata to enable\n * semantic search with structured filtering.\n *\/\nfinal class ChunkSyncService\n{\n    use JsonDecodeTrait;\n\n    private const string COLLECTION = 'dokumentation_chunks';\n    private const string QDRANT_HOST = 'http:\/\/localhost:6333';\n    private const int VECTOR_SIZE = 1024;\n    private const int TIMEOUT = 60;\n    private const int BATCH_SIZE = 10;\n\n    private PDO $pdo;\n    private OllamaService $ollama;\n\n    public function __construct()\n    {\n        $this->ollama = new OllamaService();\n        $this->pdo = $this->createConnection();\n    }",
        "newString": "use Infrastructure\\AI\\OllamaService;\nuse Infrastructure\\Config\\CredentialService;\nuse Infrastructure\\Traits\\JsonDecodeTrait;\nuse PDO;\nuse RuntimeException;\n\n\/**\n * Service for synchronizing documentation chunks to Qdrant vector database.\n *\n * Syncs analyzed chunks with their embeddings and metadata to enable\n * semantic search with structured filtering.\n *\/\nfinal class ChunkSyncService\n{\n    use JsonDecodeTrait;\n\n    private const string COLLECTION = 'dokumentation_chunks';\n    private const int VECTOR_SIZE = 1024;\n    private const int TIMEOUT = 60;\n    private const int BATCH_SIZE = 10;\n\n    private PDO $pdo;\n    private OllamaService $ollama;\n    private string $qdrantHost;\n\n    public function __construct()\n    {\n        $this->ollama = new OllamaService();\n        $this->pdo = $this->createConnection();\n        $this->qdrantHost = CredentialService::getQdrantHost();\n    }",
        "originalFile": "<?php\n\ndeclare(strict_types=1);\n\nnamespace Infrastructure\\Docs;\n\nuse Infrastructure\\AI\\OllamaService;\nuse Infrastructure\\Traits\\JsonDecodeTrait;\nuse PDO;\nuse RuntimeException;\n\n\/**\n * Service for synchronizing documentation chunks to Qdrant vector database.\n *\n * Syncs analyzed chunks with their embeddings and metadata to enable\n * semantic search with structured filtering.\n *\/\nfinal class ChunkSyncService\n{\n    use JsonDecodeTrait;\n\n    private const string COLLECTION = 'dokumentation_chunks';\n    private const string QDRANT_HOST = 'http:\/\/localhost:6333';\n    private const int VECTOR_SIZE = 1024;\n    private const int TIMEOUT = 60;\n    private const int BATCH_SIZE = 10;\n\n    private PDO $pdo;\n    private OllamaService $ollama;\n\n    public function __construct()\n    {\n        $this->ollama = new OllamaService();\n        $this->pdo = $this->createConnection();\n    }\n\n    \/**\n     * Ensures the Qdrant collection exists with proper configuration.\n     *\/\n    public function ensureCollection(): bool\n    {\n        \/\/ Check if collection exists\n        $url = sprintf('%s\/collections\/%s', self::QDRANT_HOST, self::COLLECTION);\n\n        try {\n            $response = $this->makeRequest($url, [], 'GET');\n            if (isset($response['result'])) {\n                return true; \/\/ Collection exists\n            }\n        } catch (RuntimeException) {\n            \/\/ Collection doesn't exist, create it\n        }\n\n        \/\/ Create collection\n        $payload = [\n            'vectors' => [\n                'size' => self::VECTOR_SIZE,\n                'distance' => 'Cosine',\n            ],\n        ];\n\n        try {\n            $this->makeRequest($url, $payload, 'PUT');\n\n            return true;\n        } catch (RuntimeException $e) {\n            throw new RuntimeException('Failed to create collection: ' . $e->getMessage());\n        }\n    }\n\n    \/**\n     * Syncs a single chunk to Qdrant.\n     *\/\n    public function syncChunk(int $chunkId): bool\n    {\n        $chunk = $this->getChunk($chunkId);\n\n        if ($chunk === null) {\n            return false;\n        }\n\n        \/\/ Only sync completed analyses\n        if ($chunk['analysis_status'] !== 'completed') {\n            return false;\n        }\n\n        \/\/ Get document context\n        $doc = $this->getDocument((int) $chunk['dokumentation_id']);\n\n        \/\/ Prepare text for embedding\n        $text = $this->prepareTextForEmbedding($chunk, $doc);\n\n        \/\/ Generate embedding\n        $embedding = $this->ollama->getEmbedding($text);\n\n        \/\/ Build payload with metadata\n        $payload = $this->buildPayload($chunk, $doc);\n\n        \/\/ Generate UUID for Qdrant if not exists\n        $qdrantId = $chunk['qdrant_id'] ?? $this->generateUuid();\n\n        \/\/ Upsert to Qdrant\n        $success = $this->upsertPoint($qdrantId, $embedding, $payload);\n\n        if ($success && $chunk['qdrant_id'] === null) {\n            $this->updateQdrantId($chunkId, $qdrantId);\n        }\n\n        return $success;\n    }\n\n    \/**\n     * Syncs all analyzed chunks that haven't been synced yet.\n     *\n     * @return array{synced: int, failed: int, errors: array<string>}\n     *\/\n    public function syncAllPending(int $limit = 100): array\n    {\n        $this->ensureCollection();\n\n        $results = ['synced' => 0, 'failed' => 0, 'errors' => []];\n\n        $chunks = $this->getUnsyncedChunks($limit);\n\n        foreach ($chunks as $chunk) {\n            try {\n                if ($this->syncChunk((int) $chunk['id'])) {\n                    $results['synced']++;\n\n                    if ($results['synced'] % self::BATCH_SIZE === 0) {\n                        echo \"Synced {$results['synced']} chunks...\\n\";\n                    }\n                } else {\n                    $results['failed']++;\n                    $results['errors'][] = \"Chunk #{$chunk['id']}: Sync failed\";\n                }\n            } catch (RuntimeException $e) {\n                $results['failed']++;\n                $results['errors'][] = \"Chunk #{$chunk['id']}: \" . $e->getMessage();\n            }\n        }\n\n        return $results;\n    }\n\n    \/**\n     * Syncs all chunks (re-sync).\n     *\n     * @return array{synced: int, failed: int, errors: array<string>}\n     *\/\n    public function syncAll(): array\n    {\n        $this->ensureCollection();\n\n        $results = ['synced' => 0, 'failed' => 0, 'errors' => []];\n\n        $chunks = $this->getAllAnalyzedChunks();\n\n        foreach ($chunks as $chunk) {\n            try {\n                if ($this->syncChunk((int) $chunk['id'])) {\n                    $results['synced']++;\n\n                    if ($results['synced'] % self::BATCH_SIZE === 0) {\n                        echo \"Synced {$results['synced']} chunks...\\n\";\n                    }\n                } else {\n                    $results['failed']++;\n                }\n            } catch (RuntimeException $e) {\n                $results['failed']++;\n                $results['errors'][] = \"Chunk #{$chunk['id']}: \" . $e->getMessage();\n            }\n        }\n\n        return $results;\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        $url = sprintf('%s\/collections\/%s\/points\/search', self::QDRANT_HOST, self::COLLECTION);\n\n        $payload = [\n            'vector' => array_values($embedding),\n            'limit' => $limit,\n            'with_payload' => true,\n        ];\n\n        if ($filter !== null) {\n            $payload['filter'] = $filter;\n        }\n\n        $response = $this->makeRequest($url, $payload, 'POST');\n\n        if (!isset($response['result']) || !is_array($response['result'])) {\n            return [];\n        }\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        }, $response['result']);\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        $url = sprintf('%s\/collections\/%s', self::QDRANT_HOST, self::COLLECTION);\n\n        try {\n            $response = $this->makeRequest($url, [], 'GET');\n\n            if (!isset($response['result'])) {\n                return null;\n            }\n\n            return [\n                'points_count' => (int) ($response['result']['points_count'] ?? 0),\n                'status' => (string) ($response['result']['status'] ?? 'unknown'),\n            ];\n        } catch (RuntimeException) {\n            return null;\n        }\n    }\n\n    \/**\n     * Prepares text for embedding.\n     *\n     * @param array<string, mixed> $chunk\n     * @param array<string, mixed> $doc\n     *\/\n    private function prepareTextForEmbedding(array $chunk, array $doc): string\n    {\n        $parts = [];\n\n        \/\/ Document context\n        $parts[] = 'Dokument: ' . ($doc['title'] ?? '');\n\n        \/\/ Heading path\n        $headingPath = $this->decodeJsonArray($chunk['heading_path'] ?? null);\n        if (!empty($headingPath)) {\n            $parts[] = 'Abschnitt: ' . implode(' > ', $headingPath);\n        }\n\n        \/\/ Taxonomy\n        $taxonomy = $this->decodeJsonArray($chunk['taxonomy_path'] ?? null);\n        if (!empty($taxonomy)) {\n            $parts[] = 'Kategorie: ' . implode(' > ', $taxonomy);\n        }\n\n        \/\/ Keywords\n        $keywords = $this->decodeJsonArray($chunk['keywords'] ?? null);\n        if (!empty($keywords)) {\n            $parts[] = 'Keywords: ' . implode(', ', $keywords);\n        }\n\n        \/\/ Main content - sanitize and limit\n        $content = $chunk['content_clean'] ?? $chunk['content'] ?? '';\n        $content = $this->sanitizeForEmbedding($content);\n        if (mb_strlen($content) > 1000) {\n            $content = mb_substr($content, 0, 1000) . '...';\n        }\n        $parts[] = 'Inhalt: ' . $content;\n\n        $text = implode(\"\\n\\n\", $parts);\n\n        \/\/ Final safety limit for embedding model context\n        if (mb_strlen($text) > 1800) {\n            $text = mb_substr($text, 0, 1800) . '...';\n        }\n\n        return $text;\n    }\n\n    \/**\n     * Sanitizes text for embedding by removing problematic characters.\n     *\/\n    private function sanitizeForEmbedding(string $text): string\n    {\n        \/\/ Remove box-drawing and other problematic Unicode characters\n        $text = preg_replace('\/[\\x{2500}-\\x{257F}]\/u', ' ', $text) ?? $text; \/\/ Box Drawing\n        $text = preg_replace('\/[\\x{2580}-\\x{259F}]\/u', ' ', $text) ?? $text; \/\/ Block Elements\n        $text = preg_replace('\/[\\x{25A0}-\\x{25FF}]\/u', ' ', $text) ?? $text; \/\/ Geometric Shapes\n\n        \/\/ Remove... [TRUNCATED-945a5092b34b6fff]",
        "structuredPatch": [
            {
                "oldStart": 5,
                "oldLines": 6,
                "newStart": 5,
                "newLines": 7,
                "lines": [
                    " namespace Infrastructure\\Docs;",
                    " ",
                    " use Infrastructure\\AI\\OllamaService;",
                    "+use Infrastructure\\Config\\CredentialService;",
                    " use Infrastructure\\Traits\\JsonDecodeTrait;",
                    " use PDO;",
                    " use RuntimeException;"
                ]
            },
            {
                "oldStart": 20,
                "oldLines": 18,
                "newStart": 21,
                "newLines": 19,
                "lines": [
                    "     use JsonDecodeTrait;",
                    " ",
                    "     private const string COLLECTION = 'dokumentation_chunks';",
                    "-    private const string QDRANT_HOST = 'http:\/\/localhost:6333';",
                    "     private const int VECTOR_SIZE = 1024;",
                    "     private const int TIMEOUT = 60;",
                    "     private const int BATCH_SIZE = 10;",
                    " ",
                    "     private PDO $pdo;",
                    "     private OllamaService $ollama;",
                    "+    private string $qdrantHost;",
                    " ",
                    "     public function __construct()",
                    "     {",
                    "         $this->ollama = new OllamaService();",
                    "         $this->pdo = $this->createConnection();",
                    "+        $this->qdrantHost = CredentialService::getQdrantHost();",
                    "     }",
                    " ",
                    "     \/**"
                ]
            }
        ],
        "userModified": false,
        "replaceAll": false
    }
}
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