Protokoll #3688
| ID | 3688 |
|---|---|
| Zeitstempel | 2025-12-22 08:23:53.230675 |
| Client | root |
| 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 |
| Modell | claude-sonnet-4-20250514 |
| Status | completed |
| Tokens | 3,846 (Input: 0, Output: 0) |
| Dauer | 97 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
}
}