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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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66
api/tests/integration_tests/model_runtime/bedrock/test_llm.py
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@@ -13,77 +13,63 @@ def test_validate_credentials():
model = BedrockLargeLanguageModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='meta.llama2-13b-chat-v1',
credentials={
'anthropic_api_key': 'invalid_key'
}
)
model.validate_credentials(model="meta.llama2-13b-chat-v1", credentials={"anthropic_api_key": "invalid_key"})
model.validate_credentials(
model='meta.llama2-13b-chat-v1',
model="meta.llama2-13b-chat-v1",
credentials={
"aws_region": os.getenv("AWS_REGION"),
"aws_access_key": os.getenv("AWS_ACCESS_KEY"),
"aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY")
}
"aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"),
},
)
def test_invoke_model():
model = BedrockLargeLanguageModel()
response = model.invoke(
model='meta.llama2-13b-chat-v1',
model="meta.llama2-13b-chat-v1",
credentials={
"aws_region": os.getenv("AWS_REGION"),
"aws_access_key": os.getenv("AWS_ACCESS_KEY"),
"aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY")
"aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_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,
'top_p': 1.0,
'max_tokens_to_sample': 10
},
stop=['How'],
model_parameters={"temperature": 0.0, "top_p": 1.0, "max_tokens_to_sample": 10},
stop=["How"],
stream=False,
user="abc-123"
user="abc-123",
)
assert isinstance(response, LLMResult)
assert len(response.message.content) > 0
def test_invoke_stream_model():
model = BedrockLargeLanguageModel()
response = model.invoke(
model='meta.llama2-13b-chat-v1',
model="meta.llama2-13b-chat-v1",
credentials={
"aws_region": os.getenv("AWS_REGION"),
"aws_access_key": os.getenv("AWS_ACCESS_KEY"),
"aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY")
"aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_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_to_sample': 100
},
model_parameters={"temperature": 0.0, "max_tokens_to_sample": 100},
stream=True,
user="abc-123"
user="abc-123",
)
assert isinstance(response, Generator)
@@ -100,20 +86,18 @@ def test_get_num_tokens():
model = BedrockLargeLanguageModel()
num_tokens = model.get_num_tokens(
model='meta.llama2-13b-chat-v1',
credentials = {
model="meta.llama2-13b-chat-v1",
credentials={
"aws_region": os.getenv("AWS_REGION"),
"aws_access_key": os.getenv("AWS_ACCESS_KEY"),
"aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY")
"aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"),
},
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