{
"event": "PreToolUse",
"tool_name": "Read",
"tool_input": {
"file_path": "\/var\/www\/scripts\/pipeline\/backfill_knowledge_semantics.py",
"offset": 161,
"limit": 50
}
}
{
"tool_response": {
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"file": {
"filePath": "\/var\/www\/scripts\/pipeline\/backfill_text_semantics.py",
"content": "def analyze_chunk(chunk: dict, model: str = \"mistral\") -> dict | None:\n \"\"\"Analyze a single chunk with Ollama.\"\"\"\n try:\n prompt = PROMPT_TEMPLATE.format(content=chunk[\"content\"][:2000])\n\n response = ollama.generate(\n model=model,\n prompt=prompt,\n options={\"num_predict\": 200},\n )\n\n response_text = response[\"response\"].strip()\n\n # Extract JSON\n start = response_text.find(\"{\")\n end = response_text.rfind(\"}\") + 1\n\n if start >= 0 and end > start:\n json_str = response_text[start:end]\n data = json.loads(json_str)\n data = validate_and_fix(data)\n data[\"model_used\"] = model\n return data\n\n except Exception as e:\n db.log(\"WARNING\", f\"Backfill: Text semantic analysis failed for chunk {chunk['id']}: {e}\")\n\n return None\n\n",
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}