#!/usr/bin/env python3
"""
Data Analysis Tool
"""

import logging
from datetime import datetime
from typing import Any, Dict, Optional

from ..core.bedrock_client import BedrockClient
from ..core.knowledge_base import KnowledgeBase
from ..utils.json_parser import parse_json

logger = logging.getLogger(__name__)


class DataAnalyzer:
    """Data analysis for optimization problems"""
    
    def __init__(self, bedrock_client: BedrockClient, knowledge_base: KnowledgeBase):
        self.bedrock = bedrock_client
        self.kb = knowledge_base
    
    async def analyze_data(self, problem_description: str, intent_data: Optional[Dict] = None) -> Dict[str, Any]:
        """Analyze data readiness for optimization"""
        try:
            intent = intent_data.get('intent', 'unknown') if intent_data else 'unknown'
            kb_ctx = self.kb.search(problem_description)
            
            prompt = f"""Analyze data for optimization.

PROBLEM: {problem_description}
INTENT: {intent}
SIMILAR: {kb_ctx}

JSON only:
{{
  "readiness_score": 0.85,
  "entities": 10,
  "data_quality": "high|medium|low",
  "variables_identified": ["x1", "x2"],
  "constraints_identified": ["capacity", "demand"]
}}"""
            
            resp = await self.bedrock.invoke("anthropic.claude-3-haiku-20240307-v1:0", prompt, 2000)
            result = parse_json(resp)
            result.setdefault('readiness_score', 0.8)
            result.setdefault('entities', 0)
            
            return {
                "status": "success",
                "step": "data_analysis",
                "timestamp": datetime.now().isoformat(),
                "result": result,
                "message": f"Ready: {result['readiness_score']:.1%}"
            }
        except Exception as e:
            logger.error(f"Data error: {e}")
            return {"status": "error", "step": "data_analysis", "error": str(e)}


async def analyze_data_tool(problem_description: str, intent_data: Optional[Dict] = None) -> Dict[str, Any]:
    """Tool wrapper for data analysis"""
    # This would be called from the main tools orchestrator
    # For now, return a placeholder
    return {"status": "error", "error": "Tool not initialized"}
