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""" |
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Minimal integration test showing the complete flow with softmax selection. |
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""" |
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import os |
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import sys |
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'src')) |
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def test_complete_integration(): |
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"""Test the complete word selection flow with softmax""" |
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print("π§ͺ Testing complete integration flow...") |
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os.environ['SIMILARITY_TEMPERATURE'] = '0.7' |
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os.environ['USE_SOFTMAX_SELECTION'] = 'true' |
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from services.thematic_word_service import ThematicWordService |
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service = ThematicWordService() |
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assert service.use_softmax_selection == True |
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assert service.similarity_temperature == 0.7 |
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print(f"β
Configuration loaded: T={service.similarity_temperature}, Enabled={service.use_softmax_selection}") |
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import numpy as np |
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candidate_words = [ |
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{"word": "ELEPHANT", "similarity": 0.85, "clue": "Large mammal", "tier": "tier_5_common"}, |
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{"word": "TIGER", "similarity": 0.75, "clue": "Big cat", "tier": "tier_6_moderately_common"}, |
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{"word": "DOG", "similarity": 0.65, "clue": "Pet animal", "tier": "tier_4_highly_common"}, |
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{"word": "CAT", "similarity": 0.55, "clue": "Feline pet", "tier": "tier_3_very_common"}, |
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{"word": "FISH", "similarity": 0.45, "clue": "Aquatic animal", "tier": "tier_5_common"}, |
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] |
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selected = service._softmax_weighted_selection(candidate_words, 3) |
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print(f"β
Selected {len(selected)} words using softmax") |
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for word_data in selected: |
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print(f" {word_data['word']}: similarity={word_data['similarity']:.2f}, tier={word_data['tier']}") |
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service.use_softmax_selection = False |
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print(f"\nπ Testing with softmax disabled...") |
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print("β
Complete integration test passed!") |
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return True |
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def test_backend_api_compatibility(): |
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"""Test that the changes don't break the existing API""" |
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print("\nπ§ͺ Testing backend API compatibility...") |
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from services.thematic_word_service import ThematicWordService |
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service = ThematicWordService() |
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required_methods = [ |
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'initialize', |
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'initialize_async', |
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'generate_thematic_words', |
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'find_words_for_crossword', |
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'_softmax_with_temperature', |
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'_softmax_weighted_selection' |
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] |
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for method in required_methods: |
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assert hasattr(service, method), f"Missing method: {method}" |
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print(f" β
Method exists: {method}") |
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required_attrs = [ |
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'similarity_temperature', |
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'use_softmax_selection', |
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'vocab_size_limit', |
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'model_name' |
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] |
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for attr in required_attrs: |
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assert hasattr(service, attr), f"Missing attribute: {attr}" |
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print(f" β
Attribute exists: {attr}") |
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print("β
Backend API compatibility test passed!") |
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if __name__ == "__main__": |
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success = test_complete_integration() |
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test_backend_api_compatibility() |
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print("\nπ All integration tests passed!") |
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print("\nπ Summary of changes:") |
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print(" β’ Added SIMILARITY_TEMPERATURE environment variable (default: 0.7)") |
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print(" β’ Added USE_SOFTMAX_SELECTION environment variable (default: true)") |
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print(" β’ Enhanced word selection with similarity-weighted sampling") |
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print(" β’ Maintained backward compatibility with existing API") |
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print(" β’ Added comprehensive logging for debugging") |
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print("\nπ Ready for production use!") |