from scrapegraphai.helpers.models_tokens import models_tokens class TestModelsTokens: """Test suite for verifying the models_tokens dictionary content and structure.""" def test_openai_tokens(self): """Test that the 'openai' provider exists and its tokens are valid positive integers.""" openai_models = models_tokens.get("openai") assert openai_models is not None, ( "'openai' key should be present in models_tokens" ) for model, token in openai_models.items(): assert isinstance(model, str), "Model name should be a string" assert isinstance(token, int), "Token limit should be an integer" assert token > 0, "Token limit should be positive" def test_azure_openai_tokens(self): """Test that the 'azure_openai' provider exists and its tokens are valid.""" azure_models = models_tokens.get("azure_openai") assert azure_models is not None, "'azure_openai' key should be present" for model, token in azure_models.items(): assert isinstance(model, str), "Model name should be a string" assert isinstance(token, int), "Token limit should be an integer" def test_google_providers(self): """Test that Google provider dictionaries ('google_genai' and 'google_vertexai') contain expected entries.""" google_genai = models_tokens.get("google_genai") google_vertexai = models_tokens.get("google_vertexai") assert google_genai is not None, "'google_genai' key should be present" assert google_vertexai is not None, "'google_vertexai' key should be present" # Check a specific key from google_genai assert "gemini-pro" in google_genai, ( "'gemini-pro' should be in google_genai models" ) # Validate token values types for provider in [google_genai, google_vertexai]: for token in provider.values(): assert isinstance(token, int), "Token limit must be an integer" def test_non_existent_provider(self): """Test that a non-existent provider returns None.""" assert models_tokens.get("non_existent") is None, ( "Non-existent provider should return None" ) def test_total_model_keys(self): """Test that the total number of models across all providers is above an expected count.""" total_keys = sum(len(details) for details in models_tokens.values()) assert total_keys > 20, "Expected more than 20 total model tokens defined" def test_specific_token_value(self): """Test specific expected token value for a known model.""" openai = models_tokens.get("openai") # Verify that the token limit for "gpt-4" is 8192 as defined assert openai.get("gpt-4") == 8192, "Expected token limit for gpt-4 to be 8192" def test_non_empty_model_keys(self): """Ensure that model token names are non-empty strings.""" for provider, model_dict in models_tokens.items(): for model in model_dict.keys(): assert model != "", ( f"Model name in provider '{provider}' should not be empty." ) def test_token_limits_range(self): """Test that token limits for all models fall within a plausible range (e.g., 1 to 300000).""" for provider, model_dict in models_tokens.items(): for model, token in model_dict.items(): assert 1 <= token <= 1100000, ( f"Token limit for {model} in provider {provider} is out of plausible range." ) def test_provider_structure(self): """Test that every provider in models_tokens has a dictionary as its value.""" for provider, models in models_tokens.items(): assert isinstance(models, dict), ( f"Provider {provider} should map to a dictionary, got {type(models).__name__}" ) def test_non_empty_provider(self): """Test that each provider dictionary is not empty.""" for provider, models in models_tokens.items(): assert len(models) > 0, ( f"Provider {provider} should contain at least one model." ) def test_specific_model_token_values(self): """Test specific expected token values for selected models from various providers.""" # Verify a token for a selected model from the 'openai' provider openai = models_tokens.get("openai") assert openai.get("gpt-3.5-turbo-0125") == 16385, ( "Expected token limit for gpt-3.5-turbo-0125 in openai to be 16385" ) # Verify a token for a selected model from the 'azure_openai' provider azure = models_tokens.get("azure_openai") assert azure.get("gpt-3.5") == 4096, ( "Expected token limit for gpt-3.5 in azure_openai to be 4096" ) # Verify a token for a selected model from the 'anthropic' provider anthropic = models_tokens.get("anthropic") assert anthropic.get("claude_instant") == 100000, ( "Expected token limit for claude_instant in anthropic to be 100000" ) def test_providers_count(self): """Test that the total number of providers is as expected (at least 15).""" assert len(models_tokens) >= 15, ( "Expected at least 15 providers in models_tokens" ) def test_non_existent_model(self): """Test that a non-existent model within a valid provider returns None.""" openai = models_tokens.get("openai") assert openai.get("non_existent_model") is None, ( "Non-existent model should return None from a valid provider." ) def test_no_whitespace_in_model_names(self): """Test that model names do not contain leading or trailing whitespace.""" for provider, model_dict in models_tokens.items(): for model in model_dict.keys(): # Assert that stripping whitespace does not change the model name assert model == model.strip(), ( f"Model name '{model}' in provider '{provider}' contains leading or trailing whitespace." ) def test_specific_models_additional(self): """Test specific token values for additional models across various providers.""" # Check some models in the 'ollama' provider ollama = models_tokens.get("ollama") assert ollama.get("llama2") == 4096, ( "Expected token limit for 'llama2' in ollama to be 4096" ) assert ollama.get("llama2:70b") == 4096, ( "Expected token limit for 'llama2:70b' in ollama to be 4096" ) # Check a specific model from the 'mistralai' provider mistralai = models_tokens.get("mistralai") assert mistralai.get("open-codestral-mamba") == 256000, ( "Expected token limit for 'open-codestral-mamba' in mistralai to be 256000" ) # Check a specific model from the 'deepseek' provider deepseek = models_tokens.get("deepseek") assert deepseek.get("deepseek-chat") == 28672, ( "Expected token limit for 'deepseek-chat' in deepseek to be 28672" ) # Check a model from the 'ernie' provider ernie = models_tokens.get("ernie") assert ernie.get("ernie-bot") == 4096, ( "Expected token limit for 'ernie-bot' in ernie to be 4096" ) def test_nvidia_specific(self): """Test specific token value for 'meta/codellama-70b' in the nvidia provider.""" nvidia = models_tokens.get("nvidia") assert nvidia is not None, "'nvidia' provider should exist" # Verify token for 'meta/codellama-70b' equals 16384 as defined in the nvidia dictionary assert nvidia.get("meta/codellama-70b") == 16384, ( "Expected token limit for 'meta/codellama-70b' in nvidia to be 16384" ) def test_groq_specific(self): """Test specific token value for 'claude-3-haiku-20240307\'' in the groq provider.""" groq = models_tokens.get("groq") assert groq is not None, "'groq' provider should exist" # Note: The model name has an embedded apostrophe at the end in its name. assert groq.get("claude-3-haiku-20240307'") == 8192, ( "Expected token limit for 'claude-3-haiku-20240307\\'' in groq to be 8192" ) def test_togetherai_specific(self): """Test specific token value for 'meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo' in the toghetherai provider.""" togetherai = models_tokens.get("toghetherai") assert togetherai is not None, "'toghetherai' provider should exist" expected = 128000 model_name = "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo" assert togetherai.get(model_name) == expected, ( f"Expected token limit for '{model_name}' in toghetherai to be {expected}" ) def test_ernie_all_values(self): """Test that all models in the 'ernie' provider have token values exactly 4096.""" ernie = models_tokens.get("ernie") assert ernie is not None, "'ernie' provider should exist" for model, token in ernie.items(): assert token == 4096, ( f"Expected token limit for '{model}' in ernie to be 4096, got {token}" )