{
"event": "PreToolUse",
"tool_name": "Bash",
"tool_input": {
"command": ".\/venv\/bin\/python -c \"\nimport requests\nfrom db import db\n\ndb.connect()\n\n# Test chunk with dots\ncursor = db.execute('SELECT content FROM chunks WHERE id = 205')\nchunk = cursor.fetchone()\ncursor.close()\n\ncontent = chunk['content']\nprint(f'Chunk 205: {len(content)} chars')\nprint(f'Dots count: {content.count(\\\".\\\")}')\n\n# Test with first 800 chars\ntest = content[:800]\nresponse = requests.post(\n 'http:\/\/localhost:11434\/api\/embeddings',\n json={'model': 'mxbai-embed-large', 'prompt': test},\n timeout=60\n)\nprint(f'First 800 chars: {response.status_code}')\n\n# Try without dots\ncleaned = content.replace('.', ' ')[:800]\nresponse = requests.post(\n 'http:\/\/localhost:11434\/api\/embeddings',\n json={'model': 'mxbai-embed-large', 'prompt': cleaned},\n timeout=60\n)\nprint(f'Without dots: {response.status_code}')\n\ndb.disconnect()\n\"",
"description": "Test chunk with dots"
}
}
{
"tool_response": {
"stdout": "Chunk 205: 1049 chars\nDots count: 810\nFirst 800 chars: 500\nWithout dots: 200",
"stderr": "",
"interrupted": false,
"isImage": false
}
}