"""Core security incident analysis logic."""

import json
import re
from typing import TYPE_CHECKING, Optional

from src.analyzer.models import RiskLevel, SecurityAnalysis
from src.utils import setup_logger

if TYPE_CHECKING:
    from src.llm.provider import BaseLLMProvider

logger = setup_logger(__name__)


class IncidentAnalyzer:
    """Analyzes security logs and generates structured insights."""

    def __init__(self, llm_provider: "BaseLLMProvider"):
        """
        Initialize the analyzer with an LLM provider.

        Args:
            llm_provider: LLM provider instance (OpenAI, local, mock, etc.)
        """
        self.llm = llm_provider
        logger.info(f"IncidentAnalyzer initialized with {self.llm.__class__.__name__}")

    async def analyze(self, log_text: str) -> SecurityAnalysis:
        """
        Analyze a security log or incident.

        Args:
            log_text: Raw log or incident description

        Returns:
            Structured SecurityAnalysis with summary, risk level, and remediation
        """
        logger.info(f"Analyzing log input ({len(log_text)} chars)")

        # Get LLM analysis
        response = await self.llm.analyze(log_text)
        logger.debug(f"LLM response: {response[:200]}...")

        # Parse structured output from response
        analysis = self._parse_response(response)
        analysis.raw_response = response

        logger.info(f"Analysis complete: risk_level={analysis.risk_level.value}")
        return analysis

    def _parse_response(self, response: str) -> SecurityAnalysis:
        """
        Parse LLM response into structured SecurityAnalysis.

        Uses regex to extract key sections. Fallback to defaults if parsing fails.
        """
        # Extract summary (first 2 sentences or up to 200 chars)
        summary_match = re.search(r"(?:Summary|What Happened|Analysis)[\s:]+([^\n]+)", response, re.IGNORECASE)
        summary = summary_match.group(1).strip() if summary_match else response[:200]

        # Extract risk level - be more flexible with matching
        risk_match = re.search(
            r"(?:Risk|Severity)\s+Level[\s:]+(\w+)|(?:Risk|Severity)[\s:]+(\w+)",
            response,
            re.IGNORECASE,
        )
        risk_text = (risk_match.group(1) or risk_match.group(2)).lower() if risk_match else "medium"
        try:
            risk_level = RiskLevel(risk_text)
        except ValueError:
            risk_level = RiskLevel.MEDIUM

        # Extract remediation - capture multi-line content after "Suggested Actions" or similar
        remediation_match = re.search(
            r"(?:Suggested\s+)?(?:Remediation|Actions?)[\s:]+([^\n]*(?:\n(?!(?:Risk|Severity|Summary|Indicators|What Happened|Analysis)).*)*)",
            response,
            re.IGNORECASE | re.DOTALL,
        )
        remediation = (
            remediation_match.group(1).strip() if remediation_match else "Review and investigate further"
        )

        # Extract indicators - match lines starting with - or • that appear anywhere (with optional leading whitespace)
        indicators = re.findall(
            r"^\s*[-•]\s+(.+)$",
            response,
            re.MULTILINE,
        )

        return SecurityAnalysis(
            summary=summary,
            risk_level=risk_level,
            remediation=remediation,
            indicators=indicators,
            raw_response="",  # Set by caller
        )