Protokoll #24978

ID24978
Zeitstempel2025-12-28 01:52:06.994162
Clientroot
IP145.224.72.140
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens3,671 (Input: 400, Output: 3,271)
Dauer119 ms
Request-Zeit2025-12-28 01:52:06.994162
Response-Zeit2025-12-28 01:52:07.113094

Request

{
    "event": "PreToolUse",
    "tool_name": "Edit",
    "tool_input": {
        "file_path": "\/var\/www\/dev.campus.systemische-tools.de\/src\/Infrastructure\/Config\/PipelineStepConfig.php",
        "old_string": "            'entity_normalize' => [\n                'label' => 'Entitäten-Normalisierung',\n                'description' => 'Duplikate zusammenführen, Synonyme verknüpfen',\n                'phase' => 'Wissen',\n                'storage' => 'ki_content.entity_synonyms',\n            ],\n            'relation_store' => [",
        "new_string": "            'entity_normalize' => [\n                'label' => 'Entitäten-Normalisierung',\n                'description' => 'Duplikate zusammenführen, Synonyme verknüpfen',\n                'phase' => 'Wissen',\n                'storage' => 'ki_content.entity_synonyms',\n            ],\n            \/\/ Phase: Wissenssemantik (WAS bedeutet eine Entität im Kontext?)\n            'knowledge_semantic_analyze' => [\n                'label' => 'Wissenssemantik-Analyse',\n                'description' => 'Bedeutung der Entitäten im Kontext: Rolle, Eigenschaften, Funktion',\n                'phase' => 'Wissenssemantik',\n                'storage' => null,\n                'uses_llm' => true,\n            ],\n            'knowledge_semantic_store' => [\n                'label' => 'Wissenssemantik-Speicherung',\n                'description' => 'Analyse-Ergebnisse in entity_knowledge_semantics speichern',\n                'phase' => 'Wissenssemantik',\n                'storage' => 'ki_content.entity_knowledge_semantics',\n            ],\n            'relation_store' => ["
    }
}

Response

{
    "tool_response": {
        "filePath": "\/var\/www\/dev.campus.systemische-tools.de\/src\/Infrastructure\/Config\/PipelineStepConfig.php",
        "oldString": "            'entity_normalize' => [\n                'label' => 'Entitäten-Normalisierung',\n                'description' => 'Duplikate zusammenführen, Synonyme verknüpfen',\n                'phase' => 'Wissen',\n                'storage' => 'ki_content.entity_synonyms',\n            ],\n            'relation_store' => [",
        "newString": "            'entity_normalize' => [\n                'label' => 'Entitäten-Normalisierung',\n                'description' => 'Duplikate zusammenführen, Synonyme verknüpfen',\n                'phase' => 'Wissen',\n                'storage' => 'ki_content.entity_synonyms',\n            ],\n            \/\/ Phase: Wissenssemantik (WAS bedeutet eine Entität im Kontext?)\n            'knowledge_semantic_analyze' => [\n                'label' => 'Wissenssemantik-Analyse',\n                'description' => 'Bedeutung der Entitäten im Kontext: Rolle, Eigenschaften, Funktion',\n                'phase' => 'Wissenssemantik',\n                'storage' => null,\n                'uses_llm' => true,\n            ],\n            'knowledge_semantic_store' => [\n                'label' => 'Wissenssemantik-Speicherung',\n                'description' => 'Analyse-Ergebnisse in entity_knowledge_semantics speichern',\n                'phase' => 'Wissenssemantik',\n                'storage' => 'ki_content.entity_knowledge_semantics',\n            ],\n            'relation_store' => [",
        "originalFile": "<?php\n\ndeclare(strict_types=1);\n\nnamespace Infrastructure\\Config;\n\n\/\/ @responsibility: Konfiguration für Pipeline-Schritte und Collections\n\nfinal class PipelineStepConfig\n{\n    \/**\n     * Get all available step types with their configuration.\n     *\n     * @return array<string, array<string, mixed>>\n     *\/\n    public static function getStepTypes(): array\n    {\n        return [\n            \/\/ Phase 1: Vorverarbeitung\n            'detect' => [\n                'label' => 'Erkennung',\n                'description' => 'Dateien scannen und Format prüfen',\n                'phase' => 'Vorverarbeitung',\n                'storage' => null,\n            ],\n            'validate' => [\n                'label' => 'Validierung',\n                'description' => 'Datei-Prüfung auf Lesbarkeit und Korruption',\n                'phase' => 'Vorverarbeitung',\n                'storage' => null,\n            ],\n            'page_split' => [\n                'label' => 'Seitenzerlegung',\n                'description' => 'PDF in Einzelseiten zerlegen für Referenz und Vision-Analyse',\n                'phase' => 'Vorverarbeitung',\n                'storage' => 'ki_content.document_pages',\n            ],\n            'vision_analyze' => [\n                'label' => 'Bildanalyse',\n                'description' => 'Seiten via Vision-Modell analysieren, Bilder und Grafiken erkennen',\n                'phase' => 'Vorverarbeitung',\n                'storage' => 'ki_content.document_pages (vision_analysis)',\n                'uses_vision' => true,\n            ],\n            'extract' => [\n                'label' => 'Textextraktion',\n                'description' => 'Text extrahieren, OCR für Bilder mit Text',\n                'phase' => 'Vorverarbeitung',\n                'storage' => null,\n            ],\n            'structure' => [\n                'label' => 'Strukturerkennung',\n                'description' => 'Überschriften, Listen und Hierarchie erkennen',\n                'phase' => 'Vorverarbeitung',\n                'storage' => 'ki_content.document_sections',\n            ],\n            'segment' => [\n                'label' => 'Abschnitte',\n                'description' => 'Logische Dokumentgliederung nach Struktur',\n                'phase' => 'Vorverarbeitung',\n                'storage' => 'ki_content.document_sections',\n            ],\n            'chunk' => [\n                'label' => 'Textbausteine',\n                'description' => 'Chunks erstellen (max 800 Token) mit Seitenreferenz',\n                'phase' => 'Vorverarbeitung',\n                'storage' => 'ki_content.chunks',\n            ],\n            'queue' => [\n                'label' => 'Warteschlange',\n                'description' => 'Dokument zur Verarbeitung einreihen',\n                'phase' => 'Vorverarbeitung',\n                'storage' => null,\n            ],\n            'hash' => [\n                'label' => 'Hash-Berechnung',\n                'description' => 'SHA256-Hash für Duplikat-Erkennung berechnen',\n                'phase' => 'Vorverarbeitung',\n                'storage' => null,\n            ],\n            'duplicate_check' => [\n                'label' => 'Duplikat-Prüfung',\n                'description' => 'Hash-Vergleich, bei Treffer Pipeline-Abbruch',\n                'phase' => 'Vorverarbeitung',\n                'storage' => 'ki_content.documents (status)',\n            ],\n            'rotation' => [\n                'label' => 'Seitenausrichtung',\n                'description' => 'Seiten-Rotation per OSD korrigieren',\n                'phase' => 'Vorverarbeitung',\n                'storage' => null,\n            ],\n            'enrich' => [\n                'label' => 'Anreicherung',\n                'description' => 'Überschriften und Keywords extrahieren',\n                'phase' => 'Vorverarbeitung',\n                'storage' => 'ki_content.chunks (headings, keywords)',\n            ],\n            \/\/ Phase 2: Textsemantik (WIE wird etwas gesagt?)\n            'text_semantic_analyze' => [\n                'label' => 'Textsemantik-Analyse',\n                'description' => 'Aussageform, Intent, Frame, Negation pro Chunk analysieren',\n                'phase' => 'Textsemantik',\n                'storage' => null,\n                'uses_llm' => true,\n            ],\n            'text_semantic_store' => [\n                'label' => 'Textsemantik-Speicherung',\n                'description' => 'Analyse-Ergebnisse in chunk_text_semantics speichern',\n                'phase' => 'Textsemantik',\n                'storage' => 'ki_content.chunk_text_semantics',\n            ],\n            \/\/ Phase 3: Speicherung & Vektorisierung\n            'metadata_store' => [\n                'label' => 'DB-Speicherung',\n                'description' => 'Dokument, Seiten und Chunks in MariaDB speichern',\n                'phase' => 'Speicherung',\n                'storage' => 'ki_content.documents, .document_pages, .chunks',\n            ],\n            'embed' => [\n                'label' => 'Vektorisierung',\n                'description' => 'Embeddings erstellen für Vektor-Suche',\n                'phase' => 'Speicherung',\n                'storage' => 'Qdrant: {collection}',\n                'fixed_model' => 'mxbai-embed-large (1024-dim)',\n                'has_collection' => true,\n            ],\n            'collection_setup' => [\n                'label' => 'Collection',\n                'description' => 'Qdrant-Collection einrichten falls nötig',\n                'phase' => 'Speicherung',\n                'storage' => 'Qdrant: {collection}',\n            ],\n            'vector_store' => [\n                'label' => 'Vektorspeicherung',\n                'description' => 'Vektoren in Qdrant mit MariaDB-ID als Referenz',\n                'phase' => 'Speicherung',\n                'storage' => 'Qdrant: {collection}',\n            ],\n            'index_optimize' => [\n                'label' => 'Index-Optimierung',\n                'description' => 'HNSW-Index für schnelle Suche optimieren',\n                'phase' => 'Speicherung',\n                'storage' => 'Qdrant: {collection}',\n            ],\n            'doc_create' => [\n                'label' => 'Dokument-Eintrag',\n                'description' => 'Dokument-Datensatz in Datenbank erstellen',\n                'phase' => 'Speicherung',\n                'storage' => 'ki_content.documents',\n            ],\n            'page_store' => [\n                'label' => 'Seiten-Speicherung',\n                'description' => 'Einzelseiten in Datenbank speichern',\n                'phase' => 'Speicherung',\n                'storage' => 'ki_content.document_pages',\n            ],\n            'vision' => [\n                'label' => 'Bild-Analyse',\n                'description' => 'Seiten via Vision-LLM analysieren',\n                'phase' => 'Analyse',\n                'storage' => null,\n                'uses_llm' => true,\n            ],\n            'vision_store' => [\n                'label' => 'Vision-Speicherung',\n                'description' => 'Vision-Analyse-Ergebnisse speichern',\n                'phase' => 'Speicherung',\n                'storage' => 'ki_content.document_pages (vision_analysis)',\n            ],\n            'chunk_store' => [\n                'label' => 'Chunk-Speicherung',\n                'description' => 'Textbausteine in Datenbank speichern',\n                'phase' => 'Speicherung',\n                'storage' => 'ki_content.chunks',\n            ],\n            'qdrant_store' => [\n                'label' => 'Vektor-Speicherung',\n                'description' => 'Embedding-Vektoren in Qdrant speichern',\n                'phase' => 'Speicherung',\n                'storage' => 'Qdrant: {collection}',\n            ],\n            'status_update' => [\n                'label' => 'Status-Update',\n                'description' => 'Dokument-Status aktualisieren',\n                'phase' => 'Speicherung',\n                'storage' => 'ki_content.documents (status)',\n            ],\n            \/\/ Phase 3: Wissensextraktion\n            'knowledge_page' => [\n                'label' => 'Seiten-Wissen',\n                'description' => 'Pro Seite: Entitäten → Semantik → Ontologie → Taxonomie',\n                'phase' => 'Wissen',\n                'storage' => 'ki_content.page_knowledge, .entities, .entity_semantics',\n                'uses_llm' => true,\n            ],\n            'knowledge_section' => [\n                'label' => 'Abschnitt-Wissen',\n                'description' => 'Pro Kapitel: Aggregierte Wissensrepräsentation',\n                'phase' => 'Wissen',\n                'storage' => 'ki_content.section_knowledge',\n                'uses_llm' => true,\n            ],\n            'knowledge_document' => [\n                'label' => 'Dokument-Wissen',\n                'description' => 'Konsolidierte Gesamtsicht des Dokuments',\n                'phase' => 'Wissen',\n                'storage' => 'ki_content.document_knowledge',\n                'uses_llm' => true,\n            ],\n            'knowledge_validate' => [\n                'label' => 'Wissens-Validierung',\n                'description' => 'Abgleich mit DB, Duplikate zusammenführen, neue validieren',\n                'phase' => 'Wissen',\n                'storage' => 'ki_content.entities (merged)',\n            ],\n            \/\/ Phase 4: Wissensextraktion (Analyse)\n            'entity_extract' => [\n                'label' => 'Entitäten-Extraktion',\n                'description' => 'Personen, Organisationen, Konzepte, Methoden erkennen',\n                'phase' => 'Analyse',\n                'storage' => 'ki_content.chunk_entities',\n                'uses_llm' => true,\n            ],\n            'relation_extract' => [\n                'label' => 'Beziehungs-Extraktion',\n                'description' => 'Relationen zwischen Entitäten extrahieren',\n                'phase' => 'Analyse',\n                'storage' => 'ki_content.entity_relations',\n                'uses_llm' => true,\n            ],\n            'taxonomy_build' => ... [TRUNCATED-6613ac28dffdb9b8]",
        "structuredPatch": [
            {
                "oldStart": 269,
                "oldLines": 6,
                "newStart": 269,
                "newLines": 20,
                "lines": [
                    "                 'phase' => 'Wissen',",
                    "                 'storage' => 'ki_content.entity_synonyms',",
                    "             ],",
                    "+            \/\/ Phase: Wissenssemantik (WAS bedeutet eine Entität im Kontext?)",
                    "+            'knowledge_semantic_analyze' => [",
                    "+                'label' => 'Wissenssemantik-Analyse',",
                    "+                'description' => 'Bedeutung der Entitäten im Kontext: Rolle, Eigenschaften, Funktion',",
                    "+                'phase' => 'Wissenssemantik',",
                    "+                'storage' => null,",
                    "+                'uses_llm' => true,",
                    "+            ],",
                    "+            'knowledge_semantic_store' => [",
                    "+                'label' => 'Wissenssemantik-Speicherung',",
                    "+                'description' => 'Analyse-Ergebnisse in entity_knowledge_semantics speichern',",
                    "+                'phase' => 'Wissenssemantik',",
                    "+                'storage' => 'ki_content.entity_knowledge_semantics',",
                    "+            ],",
                    "             'relation_store' => [",
                    "                 'label' => 'Beziehungs-Speicherung',",
                    "                 'description' => 'Extrahierte Relationen in Datenbank speichern',"
                ]
            }
        ],
        "userModified": false,
        "replaceAll": false
    }
}
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