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refactor

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Yeuoly
2025-01-09 17:27:05 +08:00
parent 94a62f6b4e
commit e4c4490175
6 changed files with 211 additions and 205 deletions
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82
api/tests/unit_tests/core/prompt/test_prompt_transform.py
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@ -1,52 +1,52 @@
from unittest.mock import MagicMock
# from unittest.mock import MagicMock
from core.app.app_config.entities import ModelConfigEntity
from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
from core.model_runtime.entities.message_entities import UserPromptMessage
from core.model_runtime.entities.model_entities import AIModelEntity, ModelPropertyKey, ParameterRule
from core.model_runtime.entities.provider_entities import ProviderEntity
from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
from core.prompt.prompt_transform import PromptTransform
# from core.app.app_config.entities import ModelConfigEntity
# from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
# from core.model_runtime.entities.message_entities import UserPromptMessage
# from core.model_runtime.entities.model_entities import AIModelEntity, ModelPropertyKey, ParameterRule
# from core.model_runtime.entities.provider_entities import ProviderEntity
# from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
# from core.prompt.prompt_transform import PromptTransform
def test__calculate_rest_token():
model_schema_mock = MagicMock(spec=AIModelEntity)
parameter_rule_mock = MagicMock(spec=ParameterRule)
parameter_rule_mock.name = "max_tokens"
model_schema_mock.parameter_rules = [parameter_rule_mock]
model_schema_mock.model_properties = {ModelPropertyKey.CONTEXT_SIZE: 62}
# def test__calculate_rest_token():
# model_schema_mock = MagicMock(spec=AIModelEntity)
# parameter_rule_mock = MagicMock(spec=ParameterRule)
# parameter_rule_mock.name = "max_tokens"
# model_schema_mock.parameter_rules = [parameter_rule_mock]
# model_schema_mock.model_properties = {ModelPropertyKey.CONTEXT_SIZE: 62}
large_language_model_mock = MagicMock(spec=LargeLanguageModel)
large_language_model_mock.get_num_tokens.return_value = 6
# large_language_model_mock = MagicMock(spec=LargeLanguageModel)
# large_language_model_mock.get_num_tokens.return_value = 6
provider_mock = MagicMock(spec=ProviderEntity)
provider_mock.provider = "openai"
# provider_mock = MagicMock(spec=ProviderEntity)
# provider_mock.provider = "openai"
provider_configuration_mock = MagicMock(spec=ProviderConfiguration)
provider_configuration_mock.provider = provider_mock
provider_configuration_mock.model_settings = None
# provider_configuration_mock = MagicMock(spec=ProviderConfiguration)
# provider_configuration_mock.provider = provider_mock
# provider_configuration_mock.model_settings = None
provider_model_bundle_mock = MagicMock(spec=ProviderModelBundle)
provider_model_bundle_mock.model_type_instance = large_language_model_mock
provider_model_bundle_mock.configuration = provider_configuration_mock
# provider_model_bundle_mock = MagicMock(spec=ProviderModelBundle)
# provider_model_bundle_mock.model_type_instance = large_language_model_mock
# provider_model_bundle_mock.configuration = provider_configuration_mock
model_config_mock = MagicMock(spec=ModelConfigEntity)
model_config_mock.model = "gpt-4"
model_config_mock.credentials = {}
model_config_mock.parameters = {"max_tokens": 50}
model_config_mock.model_schema = model_schema_mock
model_config_mock.provider_model_bundle = provider_model_bundle_mock
# model_config_mock = MagicMock(spec=ModelConfigEntity)
# model_config_mock.model = "gpt-4"
# model_config_mock.credentials = {}
# model_config_mock.parameters = {"max_tokens": 50}
# model_config_mock.model_schema = model_schema_mock
# model_config_mock.provider_model_bundle = provider_model_bundle_mock
prompt_transform = PromptTransform()
# prompt_transform = PromptTransform()
prompt_messages = [UserPromptMessage(content="Hello, how are you?")]
rest_tokens = prompt_transform._calculate_rest_token(prompt_messages, model_config_mock)
# prompt_messages = [UserPromptMessage(content="Hello, how are you?")]
# rest_tokens = prompt_transform._calculate_rest_token(prompt_messages, model_config_mock)
# Validate based on the mock configuration and expected logic
expected_rest_tokens = (
model_schema_mock.model_properties[ModelPropertyKey.CONTEXT_SIZE]
- model_config_mock.parameters["max_tokens"]
- large_language_model_mock.get_num_tokens.return_value
)
assert rest_tokens == expected_rest_tokens
assert rest_tokens == 6
# # Validate based on the mock configuration and expected logic
# expected_rest_tokens = (
# model_schema_mock.model_properties[ModelPropertyKey.CONTEXT_SIZE]
# - model_config_mock.parameters["max_tokens"]
# - large_language_model_mock.get_num_tokens.return_value
# )
# assert rest_tokens == expected_rest_tokens
# assert rest_tokens == 6