Protokoll #30177

ID30177
Zeitstempel2025-12-30 04:35:52.604021
Clientroot
IP145.224.72.245
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens797 (Input: 522, Output: 275)
Dauer207 ms
Request-Zeit2025-12-30 04:35:52.604021
Response-Zeit2025-12-30 04:35:52.810962

Request

{
    "event": "PreToolUse",
    "tool_name": "Bash",
    "tool_input": {
        "command": ".\/venv\/bin\/python -c \"\nfrom db import Database\n\ndb = Database()\ndb.connect()\n\n# Entities ohne Semantik\ncur = db.execute('''\n    SELECT e.id, e.name, e.type \n    FROM entities e \n    LEFT JOIN entity_semantics es ON e.id = es.entity_id \n    WHERE es.id IS NULL\n    ORDER BY e.type, e.name\n''')\nmissing_entities = cur.fetchall()\n\n# Chunks ohne Semantik  \ncur = db.execute('''\n    SELECT c.id, LEFT(c.content, 80) as content_preview, c.document_id\n    FROM chunks c\n    LEFT JOIN chunk_semantics cs ON c.id = cs.chunk_id\n    WHERE cs.id IS NULL\n    ORDER BY c.id\n''')\nmissing_chunks = cur.fetchall()\n\n# Statistiken\ncur = db.execute('SELECT COUNT(DISTINCT entity_id) as cnt FROM entity_semantics')\nunique_sem = cur.fetchone()['cnt']\n\ncur = db.execute('SELECT COUNT(DISTINCT chunk_id) as cnt FROM chunk_semantics')\nunique_chunk_sem = cur.fetchone()['cnt']\n\nprint('=== ENTITY SEMANTIK LÜCKE ===')\nprint(f'Entities ohne Semantik: {len(missing_entities)}')\nprint(f'Unique Entities mit Semantik: {unique_sem}')\nprint()\n\nif missing_entities:\n    print('Fehlende Entities nach Typ:')\n    types = {}\n    for e in missing_entities:\n        t = e['type']\n        types[t] = types.get(t, 0) + 1\n    for t, cnt in sorted(types.items(), key=lambda x: -x[1]):\n        print(f'  {t}: {cnt}')\n    print()\n    print('Beispiele (erste 15):')\n    for e in missing_entities[:15]:\n        print(f'  [{e[\\\"id\\\"]}] {e[\\\"type\\\"]}: {e[\\\"name\\\"]}')\n\nprint()\nprint('=== CHUNK SEMANTIK LÜCKE ===')\nprint(f'Chunks ohne Semantik: {len(missing_chunks)}')\nprint(f'Unique Chunks mit Semantik: {unique_chunk_sem}')\nif missing_chunks:\n    print()\n    print('Beispiele (erste 10):')\n    for c in missing_chunks[:10]:\n        preview = str(c['content_preview']).replace('\\\\n', ' ')[:50] if c['content_preview'] else '(leer)'\n        print(f'  [{c[\\\"id\\\"]}] Doc {c[\\\"document_id\\\"]}: {preview}...')\n\ndb.disconnect()\n\"",
        "description": "Analyze semantic gaps via pipeline"
    }
}

Response

{
    "tool_response": {
        "stdout": "=== ENTITY SEMANTIK LÜCKE ===\nEntities ohne Semantik: 65\nUnique Entities mit Semantik: 396\n\nFehlende Entities nach Typ:\n  CONCEPT: 21\n  TRAIT_ATTRIBUTE: 11\n  ROLE: 6\n  ARTIFACT: 4\n  PUBLICATION_WORK: 4\n  PROCESS_PHASE_STEP: 4\n  PRINCIPLE: 2\n  DEMOGRAPHIC_GROUP: 2\n  EMOTION_FEELING: 2\n  SYSTEM_CONTEXT: 2\n  SYSTEM_TYPE: 2\n  METAPHOR: 1\n  MODEL: 1\n  VALUE_NORM_RIGHT_DUTY: 1\n  INTERVENTION_EXERCISE: 1\n  DIMENSION_AXIS: 1\n\nBeispiele (erste 15):\n  [397] ROLE: Berufen\n  [377] ROLE: Coach\n  [390] ROLE: Impulsgeber\n  [803] ROLE: Psychologischen Berater\/in\n  [407] ROLE: Rolle\n  [398] ROLE: Rollen\n  [821] ARTIFACT: Anforderungsprofil\n  [384] ARTIFACT: Booklets\n  [820] ARTIFACT: COACH PROFIL\n  [418] ARTIFACT: Jobbeschreibung\n  [391] METAPHOR: Kompass\n  [832] MODEL: Kompetenz-DNA\n  [830] PRINCIPLE: Richtigkeit\n  [829] PRINCIPLE: Vollständigkeit\n  [380] PUBLICATION_WORK: Anforderungsprofil\n\n=== CHUNK SEMANTIK LÜCKE ===\nChunks ohne Semantik: 0\nUnique Chunks mit Semantik: 1873",
        "stderr": "",
        "interrupted": false,
        "isImage": false
    }
}
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