Protokoll #4248
| ID | 4248 |
|---|---|
| Zeitstempel | 2025-12-22 09:35:09.101303 |
| 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 | 7,439 (Input: 0, Output: 0) |
| Dauer | 104 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
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"old_string": " \/**\n * @return array<string, array<string, mixed>>\n *\/\n private function getStepTypes(): array\n {\n return [\n 'detect' => [\n 'label' => 'Detect',\n 'icon' => 'search',\n 'description' => 'Scannt Nextcloud nach neuen\/geaenderten Dateien',\n 'configFields' => ['hash_algorithm'],\n ],\n 'extract' => [\n 'label' => 'Extract',\n 'icon' => 'file-text',\n 'description' => 'Extrahiert Text aus PDF, DOCX, PPTX, MD, TXT',\n 'configFields' => ['ocr_enabled', 'ocr_language'],\n ],\n 'chunk' => [\n 'label' => 'Chunk',\n 'icon' => 'scissors',\n 'description' => 'Teilt Text in semantische Chunks',\n 'configFields' => ['min_size', 'max_size', 'overlap'],\n ],\n 'embed' => [\n 'label' => 'Embed',\n 'icon' => 'cpu',\n 'description' => 'Generiert Embeddings via Ollama',\n 'configFields' => ['model', 'collection', 'dimensions'],\n ],\n 'analyze' => [\n 'label' => 'Analyze',\n 'icon' => 'brain',\n 'description' => 'Extrahiert Entitaeten, Relationen, Taxonomie',\n 'configFields' => ['extract_entities', 'extract_relations', 'classify_taxonomy', 'model'],\n ],\n ];\n }",
"new_string": " \/**\n * @return array<string, array<string, mixed>>\n *\/\n private function getStepTypes(): array\n {\n return [\n \/\/ Phase 1: Preprocessing\n 'detect' => [\n 'label' => '1. Detect',\n 'icon' => 'search',\n 'description' => 'Dateien scannen und Format pruefen',\n 'phase' => 'Preprocessing',\n ],\n 'validate' => [\n 'label' => '2. Validate',\n 'icon' => 'check',\n 'description' => 'Datei-Validierung und Korruptionspruefung',\n 'phase' => 'Preprocessing',\n ],\n 'extract' => [\n 'label' => '3. Extract',\n 'icon' => 'file-text',\n 'description' => 'Text extrahieren und bereinigen',\n 'phase' => 'Preprocessing',\n ],\n 'structure' => [\n 'label' => '4. Structure',\n 'icon' => 'list',\n 'description' => 'Ueberschriften und Struktur erkennen',\n 'phase' => 'Preprocessing',\n ],\n 'segment' => [\n 'label' => '5. Segment',\n 'icon' => 'layout',\n 'description' => 'Logische Dokumentgliederung',\n 'phase' => 'Preprocessing',\n ],\n 'chunk' => [\n 'label' => '6. Chunk',\n 'icon' => 'scissors',\n 'description' => 'Textbausteine erstellen (max 800 Token)',\n 'phase' => 'Preprocessing',\n ],\n \/\/ Phase 2: Embedding & Storage\n 'embed' => [\n 'label' => '7. Embed',\n 'icon' => 'cpu',\n 'description' => 'Vektorisierung mit mxbai-embed-large',\n 'phase' => 'Embedding',\n ],\n 'collection_setup' => [\n 'label' => '8. Collection',\n 'icon' => 'database',\n 'description' => 'Qdrant-Collection einrichten',\n 'phase' => 'Embedding',\n ],\n 'vector_store' => [\n 'label' => '9. Store',\n 'icon' => 'upload',\n 'description' => 'Vektoren in Qdrant speichern',\n 'phase' => 'Embedding',\n ],\n 'metadata_store' => [\n 'label' => '10. Metadata',\n 'icon' => 'tag',\n 'description' => 'Metadaten in MariaDB speichern',\n 'phase' => 'Embedding',\n ],\n 'index_optimize' => [\n 'label' => '11. Index',\n 'icon' => 'zap',\n 'description' => 'HNSW-Index optimieren',\n 'phase' => 'Embedding',\n ],\n \/\/ Phase 3: Analysis\n 'entity_extract' => [\n 'label' => '12. Entities',\n 'icon' => 'users',\n 'description' => 'Entitaeten erkennen (Personen, Konzepte)',\n 'phase' => 'Analysis',\n ],\n 'relation_extract' => [\n 'label' => '13. Relations',\n 'icon' => 'git-branch',\n 'description' => 'Beziehungen zwischen Entitaeten',\n 'phase' => 'Analysis',\n ],\n 'taxonomy_build' => [\n 'label' => '14. Taxonomy',\n 'icon' => 'folder-tree',\n 'description' => 'Hierarchische Kategorisierung',\n 'phase' => 'Analysis',\n ],\n 'semantic_analyze' => [\n 'label' => '15. Semantic',\n 'icon' => 'brain',\n 'description' => 'Bedeutungs-Analyse und Konzepte',\n 'phase' => 'Analysis',\n ],\n 'summarize' => [\n 'label' => '16. Summary',\n 'icon' => 'file-minus',\n 'description' => 'Dokument-Zusammenfassung',\n 'phase' => 'Analysis',\n ],\n 'finalize' => [\n 'label' => '17. Finalize',\n 'icon' => 'check-circle',\n 'description' => 'Job abschliessen und Status setzen',\n 'phase' => 'Analysis',\n ],\n 'question_generate' => [\n 'label' => '18. Questions',\n 'icon' => 'help-circle',\n 'description' => 'Beispielfragen fuer RAG-Chat generieren',\n 'phase' => 'Analysis',\n ],\n \/\/ Legacy\n 'analyze' => [\n 'label' => 'Analyze',\n 'icon' => 'brain',\n 'description' => 'Kombinierte Analyse (Legacy)',\n 'phase' => 'Analysis',\n ],\n ];\n }"
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"oldString": " \/**\n * @return array<string, array<string, mixed>>\n *\/\n private function getStepTypes(): array\n {\n return [\n 'detect' => [\n 'label' => 'Detect',\n 'icon' => 'search',\n 'description' => 'Scannt Nextcloud nach neuen\/geaenderten Dateien',\n 'configFields' => ['hash_algorithm'],\n ],\n 'extract' => [\n 'label' => 'Extract',\n 'icon' => 'file-text',\n 'description' => 'Extrahiert Text aus PDF, DOCX, PPTX, MD, TXT',\n 'configFields' => ['ocr_enabled', 'ocr_language'],\n ],\n 'chunk' => [\n 'label' => 'Chunk',\n 'icon' => 'scissors',\n 'description' => 'Teilt Text in semantische Chunks',\n 'configFields' => ['min_size', 'max_size', 'overlap'],\n ],\n 'embed' => [\n 'label' => 'Embed',\n 'icon' => 'cpu',\n 'description' => 'Generiert Embeddings via Ollama',\n 'configFields' => ['model', 'collection', 'dimensions'],\n ],\n 'analyze' => [\n 'label' => 'Analyze',\n 'icon' => 'brain',\n 'description' => 'Extrahiert Entitaeten, Relationen, Taxonomie',\n 'configFields' => ['extract_entities', 'extract_relations', 'classify_taxonomy', 'model'],\n ],\n ];\n }",
"newString": " \/**\n * @return array<string, array<string, mixed>>\n *\/\n private function getStepTypes(): array\n {\n return [\n \/\/ Phase 1: Preprocessing\n 'detect' => [\n 'label' => '1. Detect',\n 'icon' => 'search',\n 'description' => 'Dateien scannen und Format pruefen',\n 'phase' => 'Preprocessing',\n ],\n 'validate' => [\n 'label' => '2. Validate',\n 'icon' => 'check',\n 'description' => 'Datei-Validierung und Korruptionspruefung',\n 'phase' => 'Preprocessing',\n ],\n 'extract' => [\n 'label' => '3. Extract',\n 'icon' => 'file-text',\n 'description' => 'Text extrahieren und bereinigen',\n 'phase' => 'Preprocessing',\n ],\n 'structure' => [\n 'label' => '4. Structure',\n 'icon' => 'list',\n 'description' => 'Ueberschriften und Struktur erkennen',\n 'phase' => 'Preprocessing',\n ],\n 'segment' => [\n 'label' => '5. Segment',\n 'icon' => 'layout',\n 'description' => 'Logische Dokumentgliederung',\n 'phase' => 'Preprocessing',\n ],\n 'chunk' => [\n 'label' => '6. Chunk',\n 'icon' => 'scissors',\n 'description' => 'Textbausteine erstellen (max 800 Token)',\n 'phase' => 'Preprocessing',\n ],\n \/\/ Phase 2: Embedding & Storage\n 'embed' => [\n 'label' => '7. Embed',\n 'icon' => 'cpu',\n 'description' => 'Vektorisierung mit mxbai-embed-large',\n 'phase' => 'Embedding',\n ],\n 'collection_setup' => [\n 'label' => '8. Collection',\n 'icon' => 'database',\n 'description' => 'Qdrant-Collection einrichten',\n 'phase' => 'Embedding',\n ],\n 'vector_store' => [\n 'label' => '9. Store',\n 'icon' => 'upload',\n 'description' => 'Vektoren in Qdrant speichern',\n 'phase' => 'Embedding',\n ],\n 'metadata_store' => [\n 'label' => '10. Metadata',\n 'icon' => 'tag',\n 'description' => 'Metadaten in MariaDB speichern',\n 'phase' => 'Embedding',\n ],\n 'index_optimize' => [\n 'label' => '11. Index',\n 'icon' => 'zap',\n 'description' => 'HNSW-Index optimieren',\n 'phase' => 'Embedding',\n ],\n \/\/ Phase 3: Analysis\n 'entity_extract' => [\n 'label' => '12. Entities',\n 'icon' => 'users',\n 'description' => 'Entitaeten erkennen (Personen, Konzepte)',\n 'phase' => 'Analysis',\n ],\n 'relation_extract' => [\n 'label' => '13. Relations',\n 'icon' => 'git-branch',\n 'description' => 'Beziehungen zwischen Entitaeten',\n 'phase' => 'Analysis',\n ],\n 'taxonomy_build' => [\n 'label' => '14. Taxonomy',\n 'icon' => 'folder-tree',\n 'description' => 'Hierarchische Kategorisierung',\n 'phase' => 'Analysis',\n ],\n 'semantic_analyze' => [\n 'label' => '15. Semantic',\n 'icon' => 'brain',\n 'description' => 'Bedeutungs-Analyse und Konzepte',\n 'phase' => 'Analysis',\n ],\n 'summarize' => [\n 'label' => '16. Summary',\n 'icon' => 'file-minus',\n 'description' => 'Dokument-Zusammenfassung',\n 'phase' => 'Analysis',\n ],\n 'finalize' => [\n 'label' => '17. Finalize',\n 'icon' => 'check-circle',\n 'description' => 'Job abschliessen und Status setzen',\n 'phase' => 'Analysis',\n ],\n 'question_generate' => [\n 'label' => '18. Questions',\n 'icon' => 'help-circle',\n 'description' => 'Beispielfragen fuer RAG-Chat generieren',\n 'phase' => 'Analysis',\n ],\n \/\/ Legacy\n 'analyze' => [\n 'label' => 'Analyze',\n 'icon' => 'brain',\n 'description' => 'Kombinierte Analyse (Legacy)',\n 'phase' => 'Analysis',\n ],\n ];\n }",
"originalFile": "<?php\n\nnamespace Controller;\n\nuse Framework\\Controller;\nuse Infrastructure\\Persistence\\PipelineRepository;\n\nclass ContentPipelineController extends Controller\n{\n private PipelineRepository $repository;\n\n public function __construct()\n {\n $this->repository = new PipelineRepository();\n }\n\n \/**\n * GET \/content-pipeline\n *\/\n public function index(): void\n {\n $pipelines = $this->repository->findAll();\n $stats = $this->repository->getStatistics();\n\n $this->view('content-pipeline.index', [\n 'title' => 'Content Pipeline',\n 'pipelines' => $pipelines,\n 'stats' => $stats,\n ]);\n }\n\n \/**\n * GET \/content-pipeline\/import\n *\/\n public function import(): void\n {\n $pipeline = $this->repository->findDefault();\n\n if ($pipeline === null) {\n $pipelines = $this->repository->findAll(1);\n $pipeline = $pipelines[0] ?? null;\n }\n\n $latestRun = $pipeline !== null\n ? $this->repository->findLatestRun((int) $pipeline['id'])\n : null;\n\n $this->view('content-pipeline.import', [\n 'title' => 'Import Pipeline',\n 'pipeline' => $pipeline,\n 'latestRun' => $latestRun,\n ]);\n }\n\n \/**\n * GET \/content-pipeline\/new\n *\/\n public function pipelineNew(): void\n {\n $this->view('content-pipeline.form', [\n 'title' => 'Neue Pipeline',\n 'pipeline' => null,\n 'stepTypes' => $this->getStepTypes(),\n ]);\n }\n\n \/**\n * GET \/content-pipeline\/{id}\n *\/\n public function show(string $id): void\n {\n $pipeline = $this->repository->findById((int) $id);\n\n if ($pipeline === null) {\n $this->notFound('Pipeline nicht gefunden');\n }\n\n $runs = $this->repository->findRuns((int) $id, 10);\n\n $this->view('content-pipeline.show', [\n 'title' => 'Pipeline: ' . $pipeline['name'],\n 'pipeline' => $pipeline,\n 'runs' => $runs,\n 'stepTypes' => $this->getStepTypes(),\n ]);\n }\n\n \/**\n * GET \/content-pipeline\/{id}\/edit\n *\/\n public function edit(string $id): void\n {\n $pipeline = $this->repository->findById((int) $id);\n\n if ($pipeline === null) {\n $this->notFound('Pipeline nicht gefunden');\n }\n\n $this->view('content-pipeline.form', [\n 'title' => 'Pipeline bearbeiten: ' . $pipeline['name'],\n 'pipeline' => $pipeline,\n 'stepTypes' => $this->getStepTypes(),\n ]);\n }\n\n \/**\n * POST \/content-pipeline\n *\/\n public function store(): void\n {\n $this->requireCsrf();\n\n $name = trim($_POST['name'] ?? '');\n $description = trim($_POST['description'] ?? '');\n $sourcePath = trim($_POST['source_path'] ?? '\/var\/www\/nextcloud\/data\/root\/files\/Documents');\n $extensions = $this->parseExtensions($_POST['extensions'] ?? '');\n $isDefault = isset($_POST['is_default']) ? 1 : 0;\n\n if ($name === '') {\n $_SESSION['error'] = 'Name ist erforderlich.';\n header('Location: \/content-pipeline\/new');\n exit;\n }\n\n $pipelineId = $this->repository->create([\n 'name' => $name,\n 'description' => $description,\n 'source_path' => $sourcePath,\n 'extensions' => $extensions,\n 'is_default' => $isDefault,\n ]);\n\n \/\/ Standard-Steps hinzufuegen\n $this->createDefaultSteps($pipelineId);\n\n $_SESSION['success'] = 'Pipeline erfolgreich erstellt.';\n header('Location: \/content-pipeline\/' . $pipelineId);\n exit;\n }\n\n \/**\n * POST \/content-pipeline\/{id}\n *\/\n public function update(string $id): void\n {\n $this->requireCsrf();\n\n $pipeline = $this->repository->findById((int) $id);\n\n if ($pipeline === null) {\n $this->notFound('Pipeline nicht gefunden');\n }\n\n $name = trim($_POST['name'] ?? '');\n $description = trim($_POST['description'] ?? '');\n $sourcePath = trim($_POST['source_path'] ?? '');\n $extensions = $this->parseExtensions($_POST['extensions'] ?? '');\n $isDefault = isset($_POST['is_default']) ? 1 : 0;\n\n if ($name === '') {\n $_SESSION['error'] = 'Name ist erforderlich.';\n header('Location: \/content-pipeline\/' . $id . '\/edit');\n exit;\n }\n\n $this->repository->update((int) $id, [\n 'name' => $name,\n 'description' => $description,\n 'source_path' => $sourcePath,\n 'extensions' => $extensions,\n 'is_default' => $isDefault,\n ]);\n\n $_SESSION['success'] = 'Pipeline aktualisiert.';\n header('Location: \/content-pipeline\/' . $id);\n exit;\n }\n\n \/**\n * POST \/content-pipeline\/{id}\/run\n *\/\n public function run(string $id): void\n {\n $this->requireCsrf();\n\n $pipeline = $this->repository->findById((int) $id);\n\n if ($pipeline === null) {\n $this->notFound('Pipeline nicht gefunden');\n }\n\n \/\/ Neuen Run erstellen\n $runId = $this->repository->createRun((int) $id);\n\n \/\/ Pipeline im Hintergrund starten\n $pipelineScript = '\/opt\/scripts\/pipeline\/pipeline.py';\n $venvPython = '\/opt\/scripts\/pipeline\/venv\/bin\/python';\n $logFile = '\/tmp\/pipeline_run_' . $runId . '.log';\n\n $cmd = sprintf(\n 'nohup %s %s all --pipeline-id=%d --run-id=%d > %s 2>&1 &',\n escapeshellarg($venvPython),\n escapeshellarg($pipelineScript),\n (int) $id,\n $runId,\n escapeshellarg($logFile)\n );\n\n exec($cmd);\n\n $_SESSION['success'] = 'Pipeline gestartet (Run #' . $runId . ')';\n header('Location: \/content-pipeline\/' . $id);\n exit;\n }\n\n \/**\n * GET \/content-pipeline\/{id}\/status\n * AJAX endpoint for run status\n *\/\n public function status(string $id): void\n {\n $pipeline = $this->repository->findById((int) $id);\n\n if ($pipeline === null) {\n $this->json(['error' => 'Pipeline nicht gefunden'], 404);\n return;\n }\n\n $latestRun = $this->repository->findLatestRun((int) $id);\n\n $this->json([\n 'pipeline_id' => (int) $id,\n 'run' => $latestRun,\n ]);\n }\n\n \/**\n * POST \/content-pipeline\/{id}\/steps\/{stepId}\/toggle\n *\/\n public function toggleStep(string $id, string $stepId): void\n {\n $this->requireCsrf();\n\n $pipeline = $this->repository->findById((int) $id);\n\n if ($pipeline === null) {\n $this->notFound('Pipeline nicht gefunden');\n }\n\n \/\/ Find step and toggle\n foreach ($pipeline['steps'] as $step) {\n if ((int) $step['id'] === (int) $stepId) {\n $this->repository->updateStep((int) $stepId, [\n 'enabled' => $step['enabled'] ? 0 : 1,\n ]);\n break;\n }\n }\n\n header('Location: \/content-pipeline\/' . $id);\n exit;\n }\n\n \/**\n * POST \/content-pipeline\/{id}\/delete\n *\/\n public function delete(string $id): void\n {\n $this->requireCsrf();\n\n $pipeline = $this->repository->findById((int) $id);\n\n if ($pipeline === null) {\n $this->notFound('Pipeline nicht gefunden');\n }\n\n $this->repository->delete((int) $id);\n\n $_SESSION['success'] = 'Pipeline geloescht.';\n header('Location: \/content-pipeline');\n exit;\n }\n\n \/**\n * @return array<string, array<string, mixed>>\n *\/\n private function getStepTypes(): array\n {\n return [\n 'detect' => [\n 'label' => 'Detect',\n 'icon' => 'search',\n 'description' => 'Scannt Nextcloud nach neuen\/geaenderten Dateien',\n 'configFields' => ['hash_algorithm'],\n ],\n 'extract' => [\n 'label' => 'Extract',\n 'icon' => 'file-text',\n 'description' => 'Extrahiert Text aus PDF, DOCX, PPTX, MD, TXT',\n 'configFields' => ['ocr_enabled', 'ocr_language'],\n ],\n 'chunk' => [\n 'label' => 'Chunk',\n 'icon' => 'scissors',\n 'description' => 'Teilt Text in semantische Chunks',\n 'configFields' => ['min_size', 'max_size', 'overlap'],\n ],\n 'embed' => [\n 'label' => 'Embed',\n 'icon' => 'cpu',\n 'description' => 'Generiert Embeddings via Ollama',\n 'configFields' => ['model', 'collection', 'dimensions'],\n ],\n 'analyze' => [\n 'label' => 'Analyze',\n 'icon' => 'brain',\n 'description' => 'Extrahiert Entitaeten, Relationen, Taxonomie',\n 'configFields' => ['extract_entities', 'extract_relations', 'classify_taxonomy', 'model'],\n ],\n ];\n }\n\n \/**\n * @param string $input\n * @return array<string>\n *\/\n private function parseExtensions(string $input): array\n {\n $extensions = [];\n $parts = preg_split('\/[\\s,;]+\/', $input);\n\n if ($parts === false) {\n return ['.pdf', '.docx', '.pptx', '.md', '.txt'];\n }\n\n foreach ($parts as $ext) {\n $ext = trim($ext);\n if ($ext === '') {\n continue;\n }\n if ($ext[0] !== '.') {\n $ext = '.' . $ext;\n }\n $extensions[] = strtolower($ext);\n }\n\n return $extensions !== [] ? $extensions : ['.pdf', '.docx', '.pptx', '.md', '.txt'];\n }\n\n private function createDefaultSteps(int $pipelineId): void\n {\n $defaultSteps = [\n ['step_type' => 'detect', 'config... [TRUNCATED-20081e070684db8e]",
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"- 'description' => 'Scannt Nextcloud nach neuen\/geaenderten Dateien',",
"- 'configFields' => ['hash_algorithm'],",
"+ 'description' => 'Dateien scannen und Format pruefen',",
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"+ 'icon' => 'check',",
"+ 'description' => 'Datei-Validierung und Korruptionspruefung',",
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"- 'label' => 'Extract',",
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" 'icon' => 'file-text',",
"- 'description' => 'Extrahiert Text aus PDF, DOCX, PPTX, MD, TXT',",
"- 'configFields' => ['ocr_enabled', 'ocr_language'],",
"+ 'description' => 'Text extrahieren und bereinigen',",
"+ 'phase' => 'Preprocessing',",
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"+ 'icon' => 'list',",
"+ 'description' => 'Ueberschriften und Struktur erkennen',",
"+ 'phase' => 'Preprocessing',",
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"+ 'segment' => [",
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"+ 'description' => 'Logische Dokumentgliederung',",
"+ 'phase' => 'Preprocessing',",
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" 'chunk' => [",
"- 'label' => 'Chunk',",
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"- 'description' => 'Teilt Text in semantische Chunks',",
"- 'configFields' => ['min_size', 'max_size', 'overlap'],",
"+ 'description' => 'Textbausteine erstellen (max 800 Token)',",
"+ 'phase' => 'Preprocessing',",
" ],",
"+ \/\/ Phase 2: Embedding & Storage",
" 'embed' => [",
"- 'label' => 'Embed',",
"+ 'label' => '7. Embed',",
" 'icon' => 'cpu',",
"- 'description' => 'Generiert Embeddings via Ollama',",
"- 'configFields' => ['model', 'collection', 'dimensions'],",
"+ 'description' => 'Vektorisierung mit mxbai-embed-large',",
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"+ 'phase' => 'Embedding',",
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"+ 'metadata_store' => [",
"+ 'label' => '10. Metadata',",
"+ 'icon' => 'tag',",
"+ 'description' => 'Metadaten in MariaDB speichern',",
"+ 'phase' => 'Embedding',",
"+ ],",
"+ 'index_optimize' => [",
"+ 'label' => '11. Index',",
"+ 'icon' => 'zap',",
"+ 'description' => 'HNSW-Index optimieren',",
"+ 'phase' => 'Embedding',",
"+ ],",
"+ \/\/ Phase 3: Analysis",
"+ 'entity_extract' => [",
"+ 'label' => '12. Entities',",
"+ 'icon' => 'users',",
"+ 'description' => 'Entitaeten erkennen (Personen, Konzepte)',",
"+ 'phase' => 'Analysis',",
"+ ],",
"+ 'relation_extract' => [",
"+ 'label' => '13. Relations',",
"+ 'icon' => 'git-branch',",
"+ 'description' => 'Beziehungen zwischen Entitaeten',",
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"+ 'taxonomy_build' => [",
"+ 'label' => '14. Taxonomy',",
"+ 'icon' => 'folder-tree',",
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"+ 'phase' => 'Analysis',",
"+ ],",
"+ 'semantic_analyze' => [",
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"+ 'icon' => 'brain',",
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"+ 'question_generate' => [",
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"+ 'icon' => 'help-circle',",
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"+ 'phase' => 'Analysis',",
"+ ],",
"+ \/\/ Legacy",
" 'analyze' => [",
" 'label' => 'Analyze',",
" 'icon' => 'brain',",
"- 'description' => 'Extrahiert Entitaeten, Relationen, Taxonomie',",
"- 'configFields' => ['extract_entities', 'extract_relations', 'classify_taxonomy', 'model'],",
"+ 'description' => 'Kombinierte Analyse (Legacy)',",
"+ 'phase' => 'Analysis',",
" ],",
" ];",
" }"
]
}
],
"userModified": false,
"replaceAll": false
}
}