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chore(api/tests): apply ruff reformat #7590 (#7591)

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Co-authored-by: -LAN- <laipz8200@outlook.com>
This commit is contained in:
Bowen Liang
2024-08-23 23:52:25 +08:00
committed by GitHub
parent 2da63654e5
commit b035c02f78
155 changed files with 4279 additions and 5925 deletions
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75
api/tests/integration_tests/model_runtime/anthropic/test_llm.py
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@@ -10,79 +10,60 @@ from core.model_runtime.model_providers.anthropic.llm.llm import AnthropicLargeL
from tests.integration_tests.model_runtime.__mock.anthropic import setup_anthropic_mock
@pytest.mark.parametrize('setup_anthropic_mock', [['none']], indirect=True)
@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True)
def test_validate_credentials(setup_anthropic_mock):
model = AnthropicLargeLanguageModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='claude-instant-1.2',
credentials={
'anthropic_api_key': 'invalid_key'
}
)
model.validate_credentials(model="claude-instant-1.2", credentials={"anthropic_api_key": "invalid_key"})
model.validate_credentials(
model='claude-instant-1.2',
credentials={
'anthropic_api_key': os.environ.get('ANTHROPIC_API_KEY')
}
model="claude-instant-1.2", credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")}
)
@pytest.mark.parametrize('setup_anthropic_mock', [['none']], indirect=True)
@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True)
def test_invoke_model(setup_anthropic_mock):
model = AnthropicLargeLanguageModel()
response = model.invoke(
model='claude-instant-1.2',
model="claude-instant-1.2",
credentials={
'anthropic_api_key': os.environ.get('ANTHROPIC_API_KEY'),
'anthropic_api_url': os.environ.get('ANTHROPIC_API_URL')
"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY"),
"anthropic_api_url": os.environ.get("ANTHROPIC_API_URL"),
},
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
content="You are a helpful AI assistant.",
),
UserPromptMessage(
content='Hello World!'
)
UserPromptMessage(content="Hello World!"),
],
model_parameters={
'temperature': 0.0,
'top_p': 1.0,
'max_tokens': 10
},
stop=['How'],
model_parameters={"temperature": 0.0, "top_p": 1.0, "max_tokens": 10},
stop=["How"],
stream=False,
user="abc-123"
user="abc-123",
)
assert isinstance(response, LLMResult)
assert len(response.message.content) > 0
@pytest.mark.parametrize('setup_anthropic_mock', [['none']], indirect=True)
@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True)
def test_invoke_stream_model(setup_anthropic_mock):
model = AnthropicLargeLanguageModel()
response = model.invoke(
model='claude-instant-1.2',
credentials={
'anthropic_api_key': os.environ.get('ANTHROPIC_API_KEY')
},
model="claude-instant-1.2",
credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")},
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
content="You are a helpful AI assistant.",
),
UserPromptMessage(
content='Hello World!'
)
UserPromptMessage(content="Hello World!"),
],
model_parameters={
'temperature': 0.0,
'max_tokens': 100
},
model_parameters={"temperature": 0.0, "max_tokens": 100},
stream=True,
user="abc-123"
user="abc-123",
)
assert isinstance(response, Generator)
@@ -98,18 +79,14 @@ def test_get_num_tokens():
model = AnthropicLargeLanguageModel()
num_tokens = model.get_num_tokens(
model='claude-instant-1.2',
credentials={
'anthropic_api_key': os.environ.get('ANTHROPIC_API_KEY')
},
model="claude-instant-1.2",
credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")},
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
content="You are a helpful AI assistant.",
),
UserPromptMessage(
content='Hello World!'
)
]
UserPromptMessage(content="Hello World!"),
],
)
assert num_tokens == 18