"""
Content filters for the Agents Hub framework.

This module provides content moderation filters for detecting and filtering problematic content.

TODO: Implement content filters.
"""

from typing import Dict, Any, List, Optional
import logging
import re

# Configure logging
logger = logging.getLogger(__name__)

class ModerationResult:
    """
    Result of a moderation check.
    """
    
    def __init__(
        self,
        flagged: bool,
        score: float,
        category_scores: Dict[str, float],
        threshold: float,
        moderator_name: str
    ):
        """
        Initialize the moderation result.
        
        Args:
            flagged: Whether the content was flagged
            score: Overall moderation score
            category_scores: Scores for each category
            threshold: Threshold used for flagging
            moderator_name: Name of the moderator
        """
        self.flagged = flagged
        self.score = score
        self.category_scores = category_scores
        self.threshold = threshold
        self.moderator_name = moderator_name

class BaseModerator:
    """
    Base class for content moderators.
    
    TODO: Implement base moderator functionality.
    """
    
    def __init__(self, name: str):
        """
        Initialize the base moderator.
        
        Args:
            name: Moderator name
        """
        self.name = name
        self.logger = logging.getLogger(f"{__name__}.{name}")
    
    async def moderate(self, content: str) -> ModerationResult:
        """
        Moderate content.
        
        Args:
            content: Content to moderate
            
        Returns:
            Moderation result
        """
        raise NotImplementedError("Subclasses must implement moderate")

class RuleBasedModerator(BaseModerator):
    """
    Rule-based content moderator.
    
    TODO: Implement rule-based moderation.
    """
    
    def __init__(
        self,
        jailbreak_threshold: float = 70.0,
        custom_rules: Optional[List[str]] = None
    ):
        """
        Initialize the rule-based moderator.
        
        Args:
            jailbreak_threshold: Threshold for jailbreak detection (0-100)
            custom_rules: Custom moderation rules
        """
        super().__init__(name="rule_based_moderator")
        self.jailbreak_threshold = jailbreak_threshold / 100.0  # Convert to 0-1 scale
        self.custom_rules = custom_rules or []
        
        # Default jailbreak patterns
        self.jailbreak_patterns = [
            r"ignore (previous|your) instructions",
            r"ignore (previous|your) (guidelines|rules)",
            r"pretend (you are|to be)",
            r"you are now",
            r"do not follow",
            r"bypass your programming",
            r"disregard your",
            r"forget your",
        ]
    
    async def moderate(self, content: str) -> ModerationResult:
        """
        Moderate content using rule-based approach.
        
        Args:
            content: Content to moderate
            
        Returns:
            Moderation result
        """
        # TODO: Implement rule-based moderation
        self.logger.info(f"Moderating content (placeholder implementation)")
        
        # This is a placeholder implementation
        jailbreak_score = self._check_jailbreak(content)
        
        category_scores = {
            "jailbreak": jailbreak_score,
            "harmful": 0.0,
            "hate": 0.0,
            "sexual": 0.0,
            "violence": 0.0,
        }
        
        overall_score = max(category_scores.values())
        flagged = overall_score > self.jailbreak_threshold
        
        return ModerationResult(
            flagged=flagged,
            score=overall_score,
            category_scores=category_scores,
            threshold=self.jailbreak_threshold,
            moderator_name=self.name
        )
    
    def _check_jailbreak(self, content: str) -> float:
        """
        Check for jailbreak attempts.
        
        Args:
            content: Content to check
            
        Returns:
            Jailbreak score (0-1)
        """
        # TODO: Implement jailbreak detection
        # This is a placeholder implementation
        content_lower = content.lower()
        
        # Check for jailbreak patterns
        for pattern in self.jailbreak_patterns:
            if re.search(pattern, content_lower):
                return 0.8  # High score for detected patterns
        
        # Check for custom rules
        for rule in self.custom_rules:
            if rule.lower() in content_lower:
                return 0.9  # Very high score for custom rules
        
        return 0.0  # No jailbreak detected

class OpenAIModerator(BaseModerator):
    """
    OpenAI-based content moderator.
    
    TODO: Implement OpenAI moderation.
    """
    
    def __init__(
        self,
        api_key: str,
        categories: Optional[List[str]] = None
    ):
        """
        Initialize the OpenAI moderator.
        
        Args:
            api_key: OpenAI API key
            categories: Categories to check
        """
        super().__init__(name="openai_moderator")
        self.api_key = api_key
        self.categories = categories or ["hate", "harassment", "sexual", "violence", "self-harm"]
    
    async def moderate(self, content: str) -> ModerationResult:
        """
        Moderate content using OpenAI's Moderation API.
        
        Args:
            content: Content to moderate
            
        Returns:
            Moderation result
        """
        # TODO: Implement OpenAI moderation
        self.logger.info(f"Moderating content with OpenAI (placeholder implementation)")
        
        # This is a placeholder implementation
        category_scores = {
            "hate": 0.0,
            "harassment": 0.0,
            "sexual": 0.0,
            "violence": 0.0,
            "self-harm": 0.0,
        }
        
        overall_score = max(category_scores.values())
        flagged = overall_score > 0.5  # Default threshold
        
        return ModerationResult(
            flagged=flagged,
            score=overall_score,
            category_scores=category_scores,
            threshold=0.5,
            moderator_name=self.name
        )

class ModerationRegistry:
    """
    Registry for multiple moderators.
    
    TODO: Implement moderation registry.
    """
    
    def __init__(
        self,
        moderators: List[BaseModerator],
        mode: str = "any"
    ):
        """
        Initialize the moderation registry.
        
        Args:
            moderators: List of moderators
            mode: How to combine results ("any" or "all")
        """
        self.moderators = moderators
        self.mode = mode
        self.logger = logging.getLogger(f"{__name__}.moderation_registry")
    
    async def moderate(self, content: str) -> ModerationResult:
        """
        Moderate content using all registered moderators.
        
        Args:
            content: Content to moderate
            
        Returns:
            Combined moderation result
        """
        # TODO: Implement combined moderation
        self.logger.info(f"Moderating content with {len(self.moderators)} moderators (placeholder implementation)")
        
        # This is a placeholder implementation
        results = []
        for moderator in self.moderators:
            result = await moderator.moderate(content)
            results.append(result)
        
        # Combine results based on mode
        if self.mode == "any":
            flagged = any(result.flagged for result in results)
        else:  # "all"
            flagged = all(result.flagged for result in results)
        
        # Combine scores
        combined_scores = {}
        for result in results:
            for category, score in result.category_scores.items():
                if category in combined_scores:
                    combined_scores[category] = max(combined_scores[category], score)
                else:
                    combined_scores[category] = score
        
        overall_score = max(combined_scores.values()) if combined_scores else 0.0
        
        return ModerationResult(
            flagged=flagged,
            score=overall_score,
            category_scores=combined_scores,
            threshold=max(result.threshold for result in results) if results else 0.5,
            moderator_name="moderation_registry"
        )
