tool.py

from smolagents.tools import Tool
import json
import pronouncing
import difflib
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"
    VOWEL_REF = "AH,UH,AX|AE,EH|IY,IH|AO,AA|UW,UH|AY,EY|OW,AO|AW,AO|OY,OW|ER,AXR"

    def _get_vowel_groups(self):
        """Convert the simple string format to usable groups."""
        groups = []
        group_strs = self.VOWEL_REF.split("|")
        for group_str in group_strs:
            groups.append(group_str.split(","))
        return groups


    def _get_last_syllable(self, phones: list) -> tuple:
        """Extract the last syllable (vowel + remaining consonants)."""
        last_vowel_idx = -1
        last_vowel = None
        vowel_groups = self._get_vowel_groups()
    
        # Find the last vowel
        for i, phone in enumerate(phones):
            # Strip stress markers for checking
            base_phone = phone.rstrip('012')
            for group in vowel_groups:
                if base_phone in group:
                    last_vowel_idx = i
                    last_vowel = base_phone
                    break
    
        if last_vowel_idx == -1:
            return None, []
        
        # Get all consonants after the vowel
        remaining = phones[last_vowel_idx + 1:]
    
        return last_vowel, remaining


    def _strip_stress(self, phones: list) -> list:
        """Remove stress markers from phones."""
        result = []
        for phone in phones:
            result.append(phone.rstrip('012'))
        return result


    def _vowels_match(self, v1: str, v2: str) -> bool:
        """Check if two vowels are in the same group."""
        v1 = v1.rstrip('012')
        v2 = v2.rstrip('012')
    
        if v1 == v2:
            return True
        
        vowel_groups = self._get_vowel_groups()
        for group in vowel_groups:
            if v1 in group and v2 in group:
                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
    
        # Initialize variables
        target = target.lower().strip(string.punctuation)
        min_similarity = float(min_similarity)
        suggestions = []
        word_vowel = None
        word_end = []
        target_vowel = None
        target_end = []
    
        # 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()
        target_vowel, target_end = self._get_last_syllable(target_phone_list)
    
        # 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()
                word_vowel, word_end = self._get_last_syllable(word_phone_list)
            
                # 1. Rhyme score (most important - 60%)
                rhyme_score = 0.0
                if word_vowel and target_vowel:
                    # Check if the vowels are similar
                    if self._vowels_match(word_vowel, target_vowel):
                        # Check if endings match (ignoring stress numbers)
                        word_end_clean = self._strip_stress(word_end)
                        target_end_clean = self._strip_stress(target_end)
                    
                        if word_end_clean == target_end_clean:
                            rhyme_score = 1.0
                            # Extra boost for exact match
                            if len(word) == len(target):
                                rhyme_score = 1.2
                        else:
                            rhyme_score = 0.6
            
                # 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 with phonetic similarity bonus
                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,
                        "last_vowel": word_vowel,
                        "ending": " ".join(word_end) if word_end else "",
                        "debug_info": {
                            "word_end_clean": word_end_clean,
                            "target_end_clean": target_end_clean,
                            "exact_match": word_end_clean == target_end_clean
                        }
                    })
    
        # 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,
            "target_last_vowel": target_vowel,
            "target_ending": " ".join(target_end) if target_end else "",
            "suggestions": suggestions
        }
    
        return json.dumps(result, indent=2)


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