#!/usr/bin/env python3
"""
Command Validator Hook - PreToolUse[Bash] hook
Validates bash commands using shadow learner insights
"""

import sys
import json
import re
import os
from pathlib import Path

# Add lib directory to path
sys.path.insert(0, str(Path(__file__).parent.parent / "lib"))

from shadow_learner import ShadowLearner
from models import ValidationResult


class CommandValidator:
    """Validates bash commands for safety and success probability"""
    
    def __init__(self):
        self.shadow_learner = ShadowLearner()
        
        # Dangerous command patterns
        self.dangerous_patterns = [
            r'rm\s+-rf\s+/',           # Delete root
            r'mkfs\.',                 # Format filesystem  
            r'dd\s+if=.*of=/dev/',     # Overwrite devices
            r':(){ :|:& };:',          # Fork bomb
            r'curl.*\|\s*bash',        # Pipe to shell
            r'wget.*\|\s*sh',          # Pipe to shell
            r';.*rm\s+-rf',            # Command chaining with rm
            r'&&.*rm\s+-rf',           # Command chaining with rm
        ]
        
        self.suspicious_patterns = [
            r'sudo\s+rm',              # Sudo with rm
            r'chmod\s+777',            # Overly permissive
            r'/etc/passwd',            # System files
            r'/etc/shadow',            # System files
            r'nc.*-l.*-p',            # Netcat listener
        ]
    
    def validate_command_safety(self, command: str) -> ValidationResult:
        """Comprehensive command safety validation"""
        
        # Normalize command for analysis
        normalized = command.lower().strip()
        
        # Check for dangerous patterns
        for pattern in self.dangerous_patterns:
            if re.search(pattern, normalized):
                return ValidationResult(
                    allowed=False,
                    reason=f"Dangerous command pattern detected",
                    severity="critical"
                )
                
        # Check for suspicious patterns
        for pattern in self.suspicious_patterns:
            if re.search(pattern, normalized):
                return ValidationResult(
                    allowed=True,  # Allow but warn
                    reason=f"Suspicious command pattern detected",
                    severity="warning"
                )
        
        return ValidationResult(allowed=True, reason="Command appears safe")
    
    def validate_with_shadow_learner(self, command: str) -> ValidationResult:
        """Use shadow learner to predict command success"""
        
        try:
            prediction = self.shadow_learner.predict_command_outcome(command)
            
            if not prediction["likely_success"] and prediction["confidence"] > 0.8:
                suggestions = prediction.get("suggestions", [])
                suggestion_text = f" Try: {suggestions[0]}" if suggestions else ""
                
                return ValidationResult(
                    allowed=False,
                    reason=f"Command likely to fail (confidence: {prediction['confidence']:.0%}){suggestion_text}",
                    severity="medium",
                    suggestions=suggestions
                )
            elif prediction["warnings"]:
                return ValidationResult(
                    allowed=True,
                    reason=prediction["warnings"][0],
                    severity="warning",
                    suggestions=prediction.get("suggestions", [])
                )
                
        except Exception:
            # If shadow learner fails, don't block
            pass
            
        return ValidationResult(allowed=True, reason="No issues detected")
    
    def validate_command(self, command: str) -> ValidationResult:
        """Main validation entry point"""
        
        # Safety validation (blocking)
        safety_result = self.validate_command_safety(command)
        if not safety_result.allowed:
            return safety_result
            
        # Shadow learner validation (predictive)
        prediction_result = self.validate_with_shadow_learner(command)
        
        # Return most significant result
        if prediction_result.severity in ["high", "critical"]:
            return prediction_result
        elif safety_result.severity in ["warning", "medium"]:
            return safety_result
        else:
            return prediction_result


def main():
    """Main hook entry point"""
    try:
        # Read input from Claude Code
        input_data = json.loads(sys.stdin.read())
        
        # Extract command from parameters
        tool = input_data.get("tool", "")
        parameters = input_data.get("parameters", {})
        command = parameters.get("command", "")
        
        if tool != "Bash" or not command:
            # Not a bash command, allow it
            response = {"allow": True, "message": "Not a bash command"}
            print(json.dumps(response))
            sys.exit(0)
        
        # Validate command
        validator = CommandValidator()
        result = validator.validate_command(command)
        
        if not result.allowed:
            # Block the command
            response = {
                "allow": False,
                "message": f"⛔ Command blocked: {result.reason}"
            }
            print(json.dumps(response))
            sys.exit(1)  # Exit code 1 = block operation
        
        elif result.severity in ["warning", "medium"]:
            # Allow with warning
            warning_emoji = "⚠️" if result.severity == "warning" else "🚨"
            message = f"{warning_emoji} {result.reason}"
            
            if result.suggestions:
                message += f"\n💡 Suggestion: {result.suggestions[0]}"
            
            response = {
                "allow": True,
                "message": message
            }
            print(json.dumps(response))
            sys.exit(0)
        
        else:
            # Allow without warning
            response = {"allow": True, "message": "Command validated"}
            print(json.dumps(response))
            sys.exit(0)
        
    except Exception as e:
        # Never block on validation errors - always allow operation
        response = {
            "allow": True,
            "message": f"Validation error: {str(e)}"
        }
        print(json.dumps(response))
        sys.exit(0)


if __name__ == "__main__":
    main()