Protokoll #2260

ID2260
Zeitstempel2025-12-21 12:26:59.406415
Clientroot
IP145.224.96.190
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens535 (Input: 46, Output: 489)
Dauer84 ms
Request-Zeit2025-12-21 12:26:59.406415
Response-Zeit2025-12-21 12:26:59.490222

Request

{
    "event": "PreToolUse",
    "tool_name": "Read",
    "tool_input": {
        "file_path": "\/var\/www\/dev.campus.systemische-tools.de\/docs\/plan-form-components-refactoring.md",
        "offset": 493,
        "limit": 60
    }
}

Response

{
    "tool_response": {
        "type": "text",
        "file": {
            "filePath": "\/var\/www\/dev.campus.systemische-tools.de\/docs\/plan-form-components-refactoring.md",
            "content": "```\n\n### 0b.7 Dropdown-Query\n\n```php\n\/\/ CollectionRepository::getSearchable()\npublic function getSearchable(): array\n{\n    return $this->db->query(\"\n        SELECT collection_id, display_name, points_count\n        FROM rag_collections\n        WHERE is_active = 1 AND is_searchable = 1\n        ORDER BY sort_order ASC, display_name ASC\n    \")->fetchAll();\n}\n```\n\n### 0b.8 Partial: collections-select.php\n\n```php\n\/\/ \/src\/View\/partials\/form\/collections-select.php\n<?php\n$collections = $collections ?? [];\n$selected = $selected ?? [];\nif (is_string($selected)) {\n    $selected = json_decode($selected, true) ?: [$selected];\n}\n$name = $name ?? 'collections[]';\n$variant = $variant ?? 'default';\n$class = $variant === 'inline' ? 'form-select--inline' : 'form-select';\n?>\n<select name=\"<?= $name ?>\" multiple class=\"<?= $class ?> collections-select\"\n        title=\"Collections für RAG auswählen\">\n    <?php foreach ($collections as $col): ?>\n    <option value=\"<?= htmlspecialchars($col['collection_id']) ?>\"\n            <?= in_array($col['collection_id'], $selected, true) ? 'selected' : '' ?>\n            title=\"<?= number_format($col['points_count']) ?> Dokumente\">\n        <?= htmlspecialchars($col['display_name']) ?>\n    <\/option>\n    <?php endforeach; ?>\n<\/select>\n```\n\n### 0b.9 Python-Pipeline Integration\n\n**Option A: Python liest direkt aus DB**\n```python\n# db.py\ndef get_active_collections():\n    cursor = db.execute(\"\"\"\n        SELECT collection_id, vector_size, embedding_model\n        FROM rag_collections\n        WHERE is_active = 1\n    \"\"\")\n    return cursor.fetchall()\n```\n\n**Option B: Config-Sync via Cron**\n```bash\n# \/opt\/scripts\/sync-collections-config.py",
            "numLines": 60,
            "startLine": 493,
            "totalLines": 3947
        }
    }
}
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