QueryRepairStrategy (query_repair.py)

Intelligent Query Repair with Learning and Retries Strategies: 1. Check memory for known fix 2. Apply Python-level validation 3. Get LLM to fix with detailed context 4. Retry with increasingly specific instructions 5. Record successful fix in memory

"""
Intelligent Query Repair with Learning and Retries

Strategies:
1. Check memory for known fix
2. Apply Python-level validation
3. Get LLM to fix with detailed context
4. Retry with increasingly specific instructions
5. Record successful fix in memory
"""

import json
import logging
import time
import re
from typing import Optional, Tuple, Callable
from core.query_repair_memory import get_memory, QueryRepairMemory, _normalize_error

logger = logging.getLogger(__name__)


def _is_time_field(field_name: str) -> bool:
    lowered = str(field_name or "").lower()
    return lowered == "@timestamp" or any(token in lowered for token in ("timestamp", "date", "time"))


def _is_date_like_string(value: str) -> bool:
    if not isinstance(value, str):
        return False
    text = value.strip().

... (truncated -- full source via MCP)