Introduce Plugins (#13836)
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This commit is contained in:
Yeuoly
@@ -1,52 +1,52 @@
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from unittest.mock import MagicMock
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# from unittest.mock import MagicMock
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from core.app.app_config.entities import ModelConfigEntity
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from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
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from core.model_runtime.entities.message_entities import UserPromptMessage
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from core.model_runtime.entities.model_entities import AIModelEntity, ModelPropertyKey, ParameterRule
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from core.model_runtime.entities.provider_entities import ProviderEntity
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from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
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from core.prompt.prompt_transform import PromptTransform
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# from core.app.app_config.entities import ModelConfigEntity
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# from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
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# from core.model_runtime.entities.message_entities import UserPromptMessage
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# from core.model_runtime.entities.model_entities import AIModelEntity, ModelPropertyKey, ParameterRule
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# from core.model_runtime.entities.provider_entities import ProviderEntity
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# from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
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# from core.prompt.prompt_transform import PromptTransform
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def test__calculate_rest_token():
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model_schema_mock = MagicMock(spec=AIModelEntity)
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parameter_rule_mock = MagicMock(spec=ParameterRule)
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parameter_rule_mock.name = "max_tokens"
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model_schema_mock.parameter_rules = [parameter_rule_mock]
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model_schema_mock.model_properties = {ModelPropertyKey.CONTEXT_SIZE: 62}
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# def test__calculate_rest_token():
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# model_schema_mock = MagicMock(spec=AIModelEntity)
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# parameter_rule_mock = MagicMock(spec=ParameterRule)
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# parameter_rule_mock.name = "max_tokens"
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# model_schema_mock.parameter_rules = [parameter_rule_mock]
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# model_schema_mock.model_properties = {ModelPropertyKey.CONTEXT_SIZE: 62}
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large_language_model_mock = MagicMock(spec=LargeLanguageModel)
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large_language_model_mock.get_num_tokens.return_value = 6
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# large_language_model_mock = MagicMock(spec=LargeLanguageModel)
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# large_language_model_mock.get_num_tokens.return_value = 6
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provider_mock = MagicMock(spec=ProviderEntity)
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provider_mock.provider = "openai"
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# provider_mock = MagicMock(spec=ProviderEntity)
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# provider_mock.provider = "openai"
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provider_configuration_mock = MagicMock(spec=ProviderConfiguration)
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provider_configuration_mock.provider = provider_mock
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provider_configuration_mock.model_settings = None
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# provider_configuration_mock = MagicMock(spec=ProviderConfiguration)
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# provider_configuration_mock.provider = provider_mock
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# provider_configuration_mock.model_settings = None
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provider_model_bundle_mock = MagicMock(spec=ProviderModelBundle)
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provider_model_bundle_mock.model_type_instance = large_language_model_mock
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provider_model_bundle_mock.configuration = provider_configuration_mock
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# provider_model_bundle_mock = MagicMock(spec=ProviderModelBundle)
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# provider_model_bundle_mock.model_type_instance = large_language_model_mock
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# provider_model_bundle_mock.configuration = provider_configuration_mock
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model_config_mock = MagicMock(spec=ModelConfigEntity)
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model_config_mock.model = "gpt-4"
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model_config_mock.credentials = {}
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model_config_mock.parameters = {"max_tokens": 50}
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model_config_mock.model_schema = model_schema_mock
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model_config_mock.provider_model_bundle = provider_model_bundle_mock
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# model_config_mock = MagicMock(spec=ModelConfigEntity)
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# model_config_mock.model = "gpt-4"
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# model_config_mock.credentials = {}
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# model_config_mock.parameters = {"max_tokens": 50}
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# model_config_mock.model_schema = model_schema_mock
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# model_config_mock.provider_model_bundle = provider_model_bundle_mock
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prompt_transform = PromptTransform()
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# prompt_transform = PromptTransform()
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prompt_messages = [UserPromptMessage(content="Hello, how are you?")]
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rest_tokens = prompt_transform._calculate_rest_token(prompt_messages, model_config_mock)
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# prompt_messages = [UserPromptMessage(content="Hello, how are you?")]
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# rest_tokens = prompt_transform._calculate_rest_token(prompt_messages, model_config_mock)
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# Validate based on the mock configuration and expected logic
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expected_rest_tokens = (
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model_schema_mock.model_properties[ModelPropertyKey.CONTEXT_SIZE]
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- model_config_mock.parameters["max_tokens"]
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- large_language_model_mock.get_num_tokens.return_value
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)
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assert rest_tokens == expected_rest_tokens
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assert rest_tokens == 6
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# # Validate based on the mock configuration and expected logic
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# expected_rest_tokens = (
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# model_schema_mock.model_properties[ModelPropertyKey.CONTEXT_SIZE]
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# - model_config_mock.parameters["max_tokens"]
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# - large_language_model_mock.get_num_tokens.return_value
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# )
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# assert rest_tokens == expected_rest_tokens
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# assert rest_tokens == 6
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