from smolagents.tools import Tool
import pronouncing
import difflib
import json
import string

class ParodyWordSuggestionTool(Tool):
    name = "parody_word_suggester"
    description = """Suggests rhyming funny words using CMU dictionary pronunciations.
    Returns similar-sounding words that rhyme, especially focusing on common vowel sounds."""
    inputs = {'target': {'type': 'string', 'description': 'The word you want to find rhyming alternatives for'}, 'word_list_str': {'type': 'string', 'description': 'JSON string of word list (e.g. \'["word1", "word2"]\')'}, 'min_similarity': {'type': 'string', 'description': 'Minimum similarity threshold (0.0-1.0)', 'nullable': True}}
    output_type = "string"

    def _are_vowels_similar(self, v1: str, v2: str) -> bool:
        """Check if two vowel sounds are similar enough to rhyme."""
        # Strip stress markers
        v1 = v1.rstrip('012')
        v2 = v2.rstrip('012')
    
        # Define groups of similar vowel sounds
        similar_vowels = [
            {'AH', 'UH'},  # Short u sounds
            {'AE', 'EH'},  # Short e/a sounds
            {'IY', 'IH'},  # Long/short i sounds
            {'AO', 'AA'},  # Open o/a sounds
            {'UW', 'UH'},  # Long/short oo sounds
        ]
    
        # Direct match
        if v1 == v2:
            return True
        
        # Check if they're in the same similarity group
        for group in similar_vowels:
            if v1 in group and v2 in group:
                return True
            
        return False


    def _contains_vowel(self, phone: str, vowels: list) -> bool:
        """Helper function to check if a phone contains any vowel from the list."""
        for v in vowels:
            if v in phone:
                return True
        return False


    def forward(self, target: str, word_list_str: str, min_similarity: str = "0.5") -> str:
        """Get rhyming word suggestions."""
        import pronouncing
        import string
        import json
        from difflib import SequenceMatcher
    
        VOWEL_LETTERS = ['A', 'E', 'I', 'O', 'U']
    
        target = target.lower().strip(string.punctuation)
        min_similarity = float(min_similarity)
        suggestions = []
    
        # Parse JSON string to list
        try:
            words = json.loads(word_list_str)
        except json.JSONDecodeError:
            return json.dumps({
                "error": "Invalid JSON string for word_list_str",
                "suggestions": []
            }, indent=2)
        
        # Get target pronunciation
        target_phones = pronouncing.phones_for_word(target)
        if not target_phones:
            return json.dumps({
                "error": f"'{target}' not found in CMU dictionary",
                "suggestions": []
            }, indent=2)
        
        target_phones = target_phones[0]
        target_phone_list = target_phones.split()
    
        # Find the last vowel in target
        target_last_vowel = None
        target_last_vowel_idx = -1
        for i, phone in enumerate(target_phone_list):
            if self._contains_vowel(phone, VOWEL_LETTERS):
                target_last_vowel = phone
                target_last_vowel_idx = i
    
        # Check each word
        for word in words:
            word = word.lower().strip(string.punctuation)
            phones = pronouncing.phones_for_word(word)
            if phones:
                word_phones = phones[0]
                word_phone_list = word_phones.split()
            
                # Find last vowel in word
                word_last_vowel = None
                word_last_vowel_idx = -1
                for i, phone in enumerate(word_phone_list):
                    if self._contains_vowel(phone, VOWEL_LETTERS):
                        word_last_vowel = phone
                        word_last_vowel_idx = i
            
                # 1. Rhyme score (most important - 60%)
                rhyme_score = 0
                if word_last_vowel and target_last_vowel:
                    # Check if the vowels are similar
                    if self._are_vowels_similar(word_last_vowel, target_last_vowel):
                        # Check if the endings after the vowel match
                        if (word_phone_list[word_last_vowel_idx:] == 
                            target_phone_list[target_last_vowel_idx:]):
                            rhyme_score = 1.0
                        # Partial match for similar endings
                        elif (len(word_phone_list) > word_last_vowel_idx + 1 and
                              len(target_phone_list) > target_last_vowel_idx + 1 and
                              word_phone_list[-1] == target_phone_list[-1]):
                            rhyme_score = 0.8
            
                # 2. Syllable match (25%)
                target_syl = pronouncing.syllable_count(target_phones)
                word_syl = pronouncing.syllable_count(word_phones)
                syllable_score = 1.0 if target_syl == word_syl else 0.0
            
                # 3. Overall similarity (15%)
                string_similarity = SequenceMatcher(None, target, word).ratio()
            
                # Combined score
                similarity = (rhyme_score * 0.6) + (syllable_score * 0.25) + (string_similarity * 0.15)
            
                if similarity >= min_similarity:
                    suggestions.append({
                        "word": word,
                        "similarity": round(similarity, 3),
                        "rhyme_match": rhyme_score > 0,
                        "rhyme_score": round(rhyme_score, 3),
                        "syllable_match": syllable_score == 1.0,
                        "string_similarity": round(string_similarity, 3),
                        "syllables": word_syl,
                        "phones": word_phones
                    })
    
        # Sort by similarity score descending
        suggestions.sort(key=lambda x: x["similarity"], reverse=True)
    
        result = {
            "target": target,
            "target_syllables": pronouncing.syllable_count(target_phones),
            "target_phones": target_phones,
            "suggestions": suggestions
        }
    
        return json.dumps(result, indent=2)


    def __init__(self, *args, **kwargs):
        self.is_initialized = False