"""Advanced analysis tools for RAVERSE MCP Server"""

from typing import Dict, Any, List, Optional
from .types import ToolResult
from .errors import ValidationError
from .logging_config import get_logger

logger = get_logger(__name__)


class AdvancedAnalysisTools:
    """Advanced analysis tools (Logic Identification, Traffic, Reporting, RAG, Research)"""
    
    @staticmethod
    def logic_identification(
        disassembly_data: Dict[str, Any],
        analyze_control_flow: bool = True,
        analyze_data_flow: bool = True,
    ) -> ToolResult:
        """Identify logic patterns in disassembled code"""
        try:
            if not disassembly_data:
                raise ValidationError("Disassembly data cannot be empty")
            
            logger.info(
                "Logic identification initiated",
                control_flow=analyze_control_flow,
                data_flow=analyze_data_flow,
            )
            
            return ToolResult(
                success=True,
                data={
                    "status": "logic_identification_initiated",
                    "control_flow": analyze_control_flow,
                    "data_flow": analyze_data_flow,
                },
            )
        except ValidationError as e:
            return ToolResult(success=False, error=str(e), error_code=e.error_code)
        except Exception as e:
            logger.error(f"Logic identification failed: {str(e)}")
            return ToolResult(
                success=False,
                error=f"Logic identification failed: {str(e)}",
                error_code="LOGIC_ID_ERROR",
            )
    
    @staticmethod
    def traffic_interception(
        target_url: str,
        ssl_intercept: bool = True,
        capture_duration: int = 60,
    ) -> ToolResult:
        """Intercept and analyze network traffic"""
        try:
            if not target_url or not target_url.strip():
                raise ValidationError("Target URL cannot be empty")
            
            if capture_duration < 1 or capture_duration > 3600:
                raise ValidationError("Capture duration must be between 1 and 3600 seconds")
            
            logger.info(
                "Traffic interception initiated",
                target_url=target_url,
                ssl_intercept=ssl_intercept,
                duration=capture_duration,
            )
            
            return ToolResult(
                success=True,
                data={
                    "status": "traffic_interception_initiated",
                    "target_url": target_url,
                    "ssl_intercept": ssl_intercept,
                },
            )
        except ValidationError as e:
            return ToolResult(success=False, error=str(e), error_code=e.error_code)
        except Exception as e:
            logger.error(f"Traffic interception failed: {str(e)}")
            return ToolResult(
                success=False,
                error=f"Traffic interception failed: {str(e)}",
                error_code="TRAFFIC_ERROR",
            )
    
    @staticmethod
    def generate_report(
        analysis_results: Dict[str, Any],
        format: str = "json",
        include_summary: bool = True,
    ) -> ToolResult:
        """Generate comprehensive analysis report"""
        try:
            if not analysis_results:
                raise ValidationError("Analysis results cannot be empty")
            
            valid_formats = {"json", "html", "pdf", "markdown"}
            if format.lower() not in valid_formats:
                raise ValidationError(f"Invalid format: {format}")
            
            logger.info(
                "Report generation initiated",
                format=format,
                include_summary=include_summary,
            )
            
            return ToolResult(
                success=True,
                data={
                    "status": "report_generation_initiated",
                    "format": format,
                    "include_summary": include_summary,
                },
            )
        except ValidationError as e:
            return ToolResult(success=False, error=str(e), error_code=e.error_code)
        except Exception as e:
            logger.error(f"Report generation failed: {str(e)}")
            return ToolResult(
                success=False,
                error=f"Report generation failed: {str(e)}",
                error_code="REPORT_ERROR",
            )
    
    @staticmethod
    def rag_orchestration(
        query: str,
        context_limit: int = 5,
        threshold: float = 0.7,
    ) -> ToolResult:
        """Execute RAG workflow"""
        try:
            if not query or not query.strip():
                raise ValidationError("Query cannot be empty")
            
            if context_limit < 1 or context_limit > 100:
                raise ValidationError("Context limit must be between 1 and 100")
            
            if threshold < 0 or threshold > 1:
                raise ValidationError("Threshold must be between 0 and 1")
            
            logger.info(
                "RAG orchestration initiated",
                query=query,
                context_limit=context_limit,
                threshold=threshold,
            )
            
            return ToolResult(
                success=True,
                data={
                    "status": "rag_orchestration_initiated",
                    "query": query,
                    "context_limit": context_limit,
                },
            )
        except ValidationError as e:
            return ToolResult(success=False, error=str(e), error_code=e.error_code)
        except Exception as e:
            logger.error(f"RAG orchestration failed: {str(e)}")
            return ToolResult(
                success=False,
                error=f"RAG orchestration failed: {str(e)}",
                error_code="RAG_ERROR",
            )
    
    @staticmethod
    def deep_research(
        topic: str,
        max_sources: int = 10,
        synthesize: bool = True,
    ) -> ToolResult:
        """Perform deep research on a topic"""
        try:
            if not topic or not topic.strip():
                raise ValidationError("Topic cannot be empty")
            
            if max_sources < 1 or max_sources > 100:
                raise ValidationError("Max sources must be between 1 and 100")
            
            logger.info(
                "Deep research initiated",
                topic=topic,
                max_sources=max_sources,
                synthesize=synthesize,
            )
            
            return ToolResult(
                success=True,
                data={
                    "status": "deep_research_initiated",
                    "topic": topic,
                    "max_sources": max_sources,
                },
            )
        except ValidationError as e:
            return ToolResult(success=False, error=str(e), error_code=e.error_code)
        except Exception as e:
            logger.error(f"Deep research failed: {str(e)}")
            return ToolResult(
                success=False,
                error=f"Deep research failed: {str(e)}",
                error_code="RESEARCH_ERROR",
            )