Protokoll #12759

{
    "event": "PreToolUse",
    "tool_name": "mcp__mcp-docs__docs_get",
    "tool_input": {
        "path": "\/anwendungen\/content-pipeline\/import"
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            "text": "{\n  \"success\": true,\n  \"doc\": {\n    \"id\": 88,\n    \"parent_id\": 87,\n    \"slug\": \"import\",\n    \"path\": \"\/anwendungen\/content-pipeline\/import\",\n    \"title\": \"Import Pipeline\",\n    \"description\": \"Planung und Analyse des Import-Prozesses\",\n    \"content\": \"<h2>Import Pipeline - Planungsdokument<\/h2>\\n\\n<h3>1. Bestehendes System (IST-Analyse)<\/h3>\\n\\n<h4>1.1 Python-Skripte unter \/opt\/scripts\/pipeline\/<\/h4>\\n<table>\\n<tr><th>Datei<\/th><th>Funktion<\/th><th>Kernlogik<\/th><\/tr>\\n<tr><td>pipeline.py<\/td><td>Orchestrator<\/td><td>CLI mit scan, process, embed, all, file, status<\/td><\/tr>\\n<tr><td>config.py<\/td><td>Konfiguration<\/td><td>Hardcoded Pfade, Modelle, Limits<\/td><\/tr>\\n<tr><td>detect.py<\/td><td>Datei-Erkennung<\/td><td>Scan Nextcloud, Hash-Vergleich, Queue<\/td><\/tr>\\n<tr><td>extract.py<\/td><td>Text-Extraktion<\/td><td>PDF (OCR), DOCX, PPTX, MD, TXT<\/td><\/tr>\\n<tr><td>chunk.py<\/td><td>Chunking<\/td><td>Semantisch nach Typ, Heading-Pfad<\/td><\/tr>\\n<tr><td>embed.py<\/td><td>Embedding<\/td><td>Ollama → Qdrant<\/td><\/tr>\\n<tr><td>analyze.py<\/td><td>Semantische Analyse<\/td><td>Entitäten, Relationen, Taxonomie<\/td><\/tr>\\n<tr><td>db.py<\/td><td>Datenbank-Wrapper<\/td><td>CRUD für documents, chunks, queue<\/td><\/tr>\\n<\/table>\\n\\n<h4>1.2 Datenfluss<\/h4>\\n<pre>\\nNextcloud (Files)\\n       ↓\\n   [detect.py] Scan + Hash\\n       ↓\\n   documents (DB) status=pending\\n       ↓\\n   [extract.py] PDF\/DOCX\/... → Text\\n       ↓\\n   [chunk.py] Semantisches Chunking\\n       ↓\\n   chunks (DB) + heading_path, metadata\\n       ↓\\n   [embed.py] Ollama mxbai-embed-large\\n       ↓\\n   Qdrant (Vektoren) + chunks.qdrant_id\\n       ↓\\n   [analyze.py] Entity\/Relation\/Taxonomy\\n       ↓\\n   entities, entity_relations, chunk_entities,\\n   chunk_taxonomy, chunk_semantics (DB)\\n<\/pre>\\n\\n<h4>1.3 Aktuelle Konfiguration (config.py)<\/h4>\\n<table>\\n<tr><th>Parameter<\/th><th>Wert<\/th><\/tr>\\n<tr><td>NEXTCLOUD_PATH<\/td><td>\/var\/www\/nextcloud\/data\/root\/files\/Documents<\/td><\/tr>\\n<tr><td>SUPPORTED_EXTENSIONS<\/td><td>.pdf, .pptx, .docx, .md, .txt<\/td><\/tr>\\n<tr><td>QDRANT_HOST<\/td><td>localhost:6333<\/td><\/tr>\\n<tr><td>QDRANT_COLLECTIONS<\/td><td>documents, mail, entities<\/td><\/tr>\\n<tr><td>OLLAMA_HOST<\/td><td>localhost:11434<\/td><\/tr>\\n<tr><td>EMBED_MODEL<\/td><td>mxbai-embed-large (1024 dims)<\/td><\/tr>\\n<tr><td>MIN_CHUNK_SIZE<\/td><td>100 Zeichen<\/td><\/tr>\\n<tr><td>MAX_CHUNK_SIZE<\/td><td>2000 Zeichen<\/td><\/tr>\\n<tr><td>CHUNK_OVERLAP<\/td><td>10%<\/td><\/tr>\\n<\/table>\\n\\n<h4>1.4 Datenbank-Struktur (ki_content)<\/h4>\\n\\n<h5>documents (2 Rows)<\/h5>\\n<pre>\\nid INT PK AUTO\\nsource_path VARCHAR(500)\\nfolder_path VARCHAR(500)\\nfilename VARCHAR(255)\\nmime_type VARCHAR(100)\\nfile_hash VARCHAR(64) - SHA256 für Änderungserkennung\\nfile_size INT\\nlanguage VARCHAR(10) DEFAULT 'de'\\nimported_at DATETIME\\nprocessed_at DATETIME\\nstatus ENUM('pending','processing','done','error')\\nerror_message TEXT\\n<\/pre>\\n\\n<h5>chunks (6 Rows)<\/h5>\\n<pre>\\nid INT PK AUTO\\ndocument_id INT FK\\nchunk_index INT\\ncontent TEXT\\ntoken_count INT\\nheading_path JSON - [\\\"H1\\\", \\\"H2\\\", ...]\\nmetadata JSON\\nqdrant_id VARCHAR(36) - UUID in Qdrant\\ncreated_at DATETIME\\n<\/pre>\\n\\n<h5>entities (49 Rows)<\/h5>\\n<pre>\\nid INT PK AUTO\\nname VARCHAR(255)\\ntype ENUM('PERSON','ORGANIZATION','LOCATION','CONCEPT','METHOD','TOOL','EVENT','OTHER')\\ndescription TEXT\\ncanonical_name VARCHAR(255) - Deduplizierung\\ncreated_at, updated_at DATETIME\\n<\/pre>\\n\\n<h5>entity_relations (47 Rows)<\/h5>\\n<pre>\\nid INT PK AUTO\\nsource_entity_id INT FK\\ntarget_entity_id INT FK\\nrelation_type VARCHAR(100) - z.B. DEVELOPED_BY, RELATED_TO\\nstrength FLOAT DEFAULT 1\\ncontext TEXT\\nchunk_id INT FK - Herkunft\\ncreated_at DATETIME\\n<\/pre>\\n\\n<h5>taxonomy_terms (8 Rows)<\/h5>\\n<pre>\\nid INT PK AUTO\\nname VARCHAR(255)\\nslug VARCHAR(255) UNIQUE\\nparent_id INT FK (self-ref)\\ndescription TEXT\\ndepth INT DEFAULT 0\\npath VARCHAR(1000) - z.B. \\\"\/Methoden\/Systemisch\\\"\\ncreated_at DATETIME\\n<\/pre>\\n\\n<h5>Verknüpfungstabellen<\/h5>\\n<pre>\\nchunk_entities: chunk_id, entity_id, relevance_score, mention_count\\nchunk_taxonomy: chunk_id, taxonomy_term_id, confidence\\nchunk_semantics: chunk_id, summary, keywords, sentiment, topics, analysis_model\\n<\/pre>\\n\\n<h4>1.5 Fehlende Tabellen (im Code vorgesehen)<\/h4>\\n<pre>\\nprocessing_queue - Existiert NICHT\\nprocessing_log - Existiert NICHT\\n<\/pre>\\n\\n<hr>\\n\\n<h3>2. SOLL-Konzept (GUI)<\/h3>\\n\\n<h4>2.1 Anforderungen<\/h4>\\n<ul>\\n<li>Visuelle Darstellung der Pipeline-Schritte<\/li>\\n<li>Konfigurierbare Parameter pro Schritt<\/li>\\n<li>Unterstützung mehrerer Pipeline-Definitionen<\/li>\\n<li>Status-Übersicht für Dokumente<\/li>\\n<li>Manuelle Trigger-Möglichkeit<\/li>\\n<\/ul>\\n\\n<h4>2.2 Neue Tabelle: pipeline_configs (ki_content)<\/h4>\\n<pre>\\nid INT PK AUTO\\nname VARCHAR(100) UNIQUE - z.B. \\\"Standard\\\", \\\"Nur-Embedding\\\"\\ndescription TEXT\\nis_default BOOLEAN DEFAULT FALSE\\nsource_path VARCHAR(500) - Nextcloud-Ordner\\nextensions JSON - [\\\".pdf\\\", \\\".docx\\\", ...]\\nsteps JSON - Aktivierte Steps + Reihenfolge\\ncreated_at, updated_at DATETIME\\n\\nBeispiel steps:\\n[\\n  {\\\"step\\\": \\\"detect\\\", \\\"enabled\\\": true, \\\"order\\\": 1},\\n  {\\\"step\\\": \\\"extract\\\", \\\"enabled\\\": true, \\\"order\\\": 2, \\\"config\\\": {\\\"ocr\\\": true}},\\n  {\\\"step\\\": \\\"chunk\\\", \\\"enabled\\\": true, \\\"order\\\": 3, \\\"config\\\": {\\\"min\\\": 100, \\\"max\\\": 2000, \\\"overlap\\\": 0.1}},\\n  {\\\"step\\\": \\\"embed\\\", \\\"enabled\\\": true, \\\"order\\\": 4, \\\"config\\\": {\\\"model\\\": \\\"mxbai-embed-large\\\", \\\"collection\\\": \\\"documents\\\"}},\\n  {\\\"step\\\": \\\"analyze\\\", \\\"enabled\\\": false, \\\"order\\\": 5}\\n]\\n<\/pre>\\n\\n<h4>2.3 Neue Tabelle: pipeline_step_configs (ki_content)<\/h4>\\n<pre>\\nid INT PK AUTO\\npipeline_id INT FK\\nstep_type ENUM('detect','extract','chunk','embed','analyze')\\nconfig JSON - Step-spezifische Einstellungen\\nsort_order INT\\nenabled BOOLEAN DEFAULT TRUE\\ncreated_at, updated_at DATETIME\\n<\/pre>\\n\\n<h4>2.4 Neue Tabelle: pipeline_runs (ki_content)<\/h4>\\n<pre>\\nid INT PK AUTO\\npipeline_id INT FK\\nstatus ENUM('pending','running','completed','failed','cancelled')\\nstarted_at DATETIME\\ncompleted_at DATETIME\\ndocuments_processed INT DEFAULT 0\\ndocuments_failed INT DEFAULT 0\\nerror_log TEXT\\ncreated_at DATETIME\\n<\/pre>\\n\\n<h4>2.5 URL-Struktur<\/h4>\\n<pre>\\n\/content-pipeline                 - Übersicht aller Pipelines\\n\/content-pipeline\/import          - Import-Konfiguration (erste Seite)\\n\/content-pipeline\/{id}            - Pipeline-Detail\\n\/content-pipeline\/{id}\/run        - Pipeline starten (POST)\\n\/content-pipeline\/{id}\/status     - Laufender Status\\n\/content-pipeline\/new             - Neue Pipeline erstellen\\n<\/pre>\\n\\n<h4>2.6 View-Komponenten<\/h4>\\n<pre>\\n┌─────────────────────────────────────────────────────────┐\\n│ Content Pipeline: Standard                        [Run] │\\n├─────────────────────────────────────────────────────────┤\\n│                                                         │\\n│  ┌──────┐   ┌─────────┐   ┌───────┐   ┌───────┐   ┌────┐│\\n│  │Detect│ → │ Extract │ → │ Chunk │ → │ Embed │ → │Anal││\\n│  │  ✓   │   │   ✓     │   │   ✓   │   │   ✓   │   │ ✗  ││\\n│  └──────┘   └─────────┘   └───────┘   └───────┘   └────┘│\\n│                                                         │\\n│  Quelle: \/Documents                                     │\\n│  Formate: .pdf, .docx, .pptx, .md, .txt                │\\n│                                                         │\\n│  Letzte Ausführung: 2025-12-20 14:30                   │\\n│  Verarbeitet: 2 Dokumente, 6 Chunks                    │\\n└─────────────────────────────────────────────────────────┘\\n<\/pre>\\n\\n<hr>\\n\\n<h3>3. Implementierungsplan<\/h3>\\n\\n<h4>Phase 1: Tabellen + Repository<\/h4>\\n<ol>\\n<li>DDL für pipeline_configs, pipeline_step_configs, pipeline_runs<\/li>\\n<li>Domain\\\\Repository\\\\PipelineRepositoryInterface<\/li>\\n<li>Infrastructure\\\\Persistence\\\\PipelineRepository<\/li>\\n<\/ol>\\n\\n<h4>Phase 2: Controller + Views<\/h4>\\n<ol>\\n<li>Controller\\\\ContentPipelineController<\/li>\\n<li>View\\\\content-pipeline\\\\index.php (Übersicht)<\/li>\\n<li>View\\\\content-pipeline\\\\show.php (Detail + Steps)<\/li>\\n<li>View\\\\content-pipeline\\\\form.php (Create\/Edit)<\/li>\\n<\/ol>\\n\\n<h4>Phase 3: Integration Python<\/h4>\\n<ol>\\n<li>Pipeline-Aufruf via Bash (mit Config-ID)<\/li>\\n<li>Status-Polling via AJAX<\/li>\\n<li>Log-Streaming<\/li>\\n<\/ol>\\n\\n<h4>Prinzipien<\/h4>\\n<ul>\\n<li><strong>DRY<\/strong>: Wiederverwendung bestehender Python-Logik<\/li>\\n<li><strong>KISS<\/strong>: Minimale neue Tabellen, JSON für flexible Config<\/li>\\n<li><strong>SRP<\/strong>: Repository nur für Pipelines, Controller nur für HTTP<\/li>\\n<li><strong>YAGNI<\/strong>: Keine Features die nicht gefordert wurden<\/li>\\n<\/ul>\",\n    \"status\": \"published\",\n    \"sort_order\": 1,\n    \"depth\": 2,\n    \"created_at\": \"2025-12-22T09:08:09\",\n    \"updated_at\": \"2025-12-22T09:08:09\"\n  }\n}"
        }
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}