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"""
Integration adapter for Unified Thematic Word Generator
This service provides a bridge between the new unified word generator
and the existing crossword backend, enabling the backend to use the
comprehensive WordFreq vocabulary instead of the limited model vocabulary.
"""
import os
import sys
import logging
from typing import List, Dict, Any, Optional
from pathlib import Path
logger = logging.getLogger(__name__)
class UnifiedWordService:
"""
Service adapter for integrating UnifiedThematicWordGenerator with the crossword backend.
Provides the same interface as VectorSearchService but uses the comprehensive
WordFreq vocabulary instead of model-limited vocabulary.
"""
def __init__(self, vocab_size_limit: Optional[int] = None):
"""Initialize the unified word service.
Args:
vocab_size_limit: Maximum vocabulary size (None for default 100K)
"""
self.generator = None
self.vocab_size_limit = vocab_size_limit or int(os.getenv("MAX_VOCABULARY_SIZE", "100000"))
self.is_initialized = False
# Import the generator from hack directory
self._import_generator()
def _import_generator(self):
"""Import the UnifiedThematicWordGenerator from hack directory."""
try:
# Add hack directory to path
hack_dir = Path(__file__).parent.parent.parent.parent.parent / "hack"
if hack_dir.exists():
sys.path.insert(0, str(hack_dir))
logger.info(f"📁 Added hack directory to path: {hack_dir}")
# Import the generator
from thematic_word_generator import UnifiedThematicWordGenerator
# Initialize with appropriate cache directory
cache_dir = os.path.join(os.path.dirname(__file__), '..', '..', 'cache', 'unified_generator')
self.generator = UnifiedThematicWordGenerator(
cache_dir=cache_dir,
vocab_size_limit=self.vocab_size_limit
)
logger.info(f"✅ Imported UnifiedThematicWordGenerator with vocab limit: {self.vocab_size_limit:,}")
except ImportError as e:
logger.error(f"❌ Failed to import UnifiedThematicWordGenerator: {e}")
logger.error(" Make sure the hack directory contains thematic_word_generator.py")
self.generator = None
except Exception as e:
logger.error(f"❌ Error setting up UnifiedThematicWordGenerator: {e}")
self.generator = None
async def initialize(self):
"""Initialize the unified word service."""
if not self.generator:
logger.error("❌ Cannot initialize: generator not available")
return False
try:
logger.info("🚀 Initializing Unified Word Service...")
start_time = time.time()
# Initialize the generator (async compatible)
await self.generator.initialize_async()
self.is_initialized = True
init_time = time.time() - start_time
logger.info(f"✅ Unified Word Service initialized in {init_time:.2f}s")
logger.info(f"📊 Vocabulary size: {self.generator.get_vocabulary_size():,} words")
logger.info(f"🎯 Tier distribution: {self.generator.get_tier_distribution()}")
return True
except Exception as e:
logger.error(f"❌ Failed to initialize Unified Word Service: {e}")
self.is_initialized = False
return False
async def find_similar_words(
self,
topic: str,
difficulty: str = "medium",
max_words: int = 15
) -> List[Dict[str, Any]]:
"""
Find similar words using the unified generator.
Compatible with VectorSearchService interface.
Args:
topic: Topic to find words for
difficulty: Difficulty level (easy/medium/hard)
max_words: Maximum number of words to return
Returns:
List of word dictionaries: [{"word": str, "clue": str}, ...]
"""
if not self.is_initialized or not self.generator:
logger.error("❌ Service not initialized or generator not available")
return []
try:
# Use the generator's backend-compatible method
results = await self.generator.find_similar_words(topic, difficulty, max_words)
logger.info(f"🎯 Generated {len(results)} words for '{topic}' (difficulty: {difficulty})")
return results
except Exception as e:
logger.error(f"❌ Error finding similar words for '{topic}': {e}")
return []
async def _get_cached_fallback(self, topic: str, difficulty: str, max_words: int) -> List[Dict[str, Any]]:
"""
Fallback method for compatibility with existing backend code.
Since our unified generator already has comprehensive vocabulary,
this just calls find_similar_words with relaxed criteria.
"""
if not self.is_initialized or not self.generator:
return []
try:
# Try with lower similarity threshold as "fallback"
results = self.generator.generate_thematic_words(
topic,
num_words=max_words,
min_similarity=0.2 # Lower threshold for fallback
)
# Format for backend compatibility
backend_words = []
for word, similarity, tier in results:
if self.generator._matches_backend_difficulty(word, difficulty):
backend_word = {
"word": word.upper(),
"clue": self.generator._generate_simple_clue(word, topic),
"similarity": similarity,
"tier": tier
}
backend_words.append(backend_word)
logger.info(f"📦 Fallback generated {len(backend_words)} words for '{topic}'")
return backend_words[:max_words]
except Exception as e:
logger.error(f"❌ Error in cached fallback for '{topic}': {e}")
return []
def get_vocabulary_size(self) -> int:
"""Get the vocabulary size."""
if self.generator:
return self.generator.get_vocabulary_size()
return 0
def get_tier_info(self) -> Dict[str, Any]:
"""Get frequency tier information."""
if not self.generator:
return {}
return {
"tier_distribution": self.generator.get_tier_distribution(),
"tier_descriptions": getattr(self.generator, 'tier_descriptions', {}),
"vocabulary_size": self.generator.get_vocabulary_size()
}
# Import time for initialization timing
import time
# Factory function for easy backend integration
async def create_unified_word_service(vocab_size_limit: Optional[int] = None) -> Optional[UnifiedWordService]:
"""
Factory function to create and initialize a UnifiedWordService.
Args:
vocab_size_limit: Maximum vocabulary size (None for default)
Returns:
Initialized UnifiedWordService or None if initialization failed
"""
try:
service = UnifiedWordService(vocab_size_limit)
if await service.initialize():
return service
else:
logger.error("❌ Failed to initialize UnifiedWordService")
return None
except Exception as e:
logger.error(f"❌ Error creating UnifiedWordService: {e}")
return None
# Example usage for testing
async def main():
"""Test the unified word service."""
print("🧪 Testing Unified Word Service")
print("=" * 50)
# Create and initialize service
service = await create_unified_word_service(vocab_size_limit=50000) # Smaller vocab for testing
if not service:
print("❌ Failed to create service")
return
# Test word generation
test_topics = ["animal", "science", "technology"]
for topic in test_topics:
print(f"\n🎯 Testing topic: '{topic}'")
print("-" * 30)
for difficulty in ["easy", "medium", "hard"]:
words = await service.find_similar_words(topic, difficulty, max_words=5)
print(f" {difficulty.capitalize()}: {len(words)} words")
for word_data in words:
word = word_data['word']
tier = word_data.get('tier', 'unknown')
print(f" {word:<12} ({tier})")
print(f"\n📊 Service Info:")
print(f" Vocabulary size: {service.get_vocabulary_size():,}")
print(f" Tier info: {service.get_tier_info()}")
print("\n✅ Test completed!")
if __name__ == "__main__":
import asyncio
asyncio.run(main()) |