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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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71
api/tests/integration_tests/model_runtime/openrouter/test_llm.py
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@@ -19,19 +19,12 @@ def test_validate_credentials():
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='mistralai/mixtral-8x7b-instruct',
credentials={
'api_key': 'invalid_key',
'mode': 'chat'
}
model="mistralai/mixtral-8x7b-instruct", credentials={"api_key": "invalid_key", "mode": "chat"}
)
model.validate_credentials(
model='mistralai/mixtral-8x7b-instruct',
credentials={
'api_key': os.environ.get('TOGETHER_API_KEY'),
'mode': 'chat'
}
model="mistralai/mixtral-8x7b-instruct",
credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "chat"},
)
@@ -39,27 +32,22 @@ def test_invoke_model():
model = OpenRouterLargeLanguageModel()
response = model.invoke(
model='mistralai/mixtral-8x7b-instruct',
credentials={
'api_key': os.environ.get('TOGETHER_API_KEY'),
'mode': 'completion'
},
model="mistralai/mixtral-8x7b-instruct",
credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "completion"},
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
content="You are a helpful AI assistant.",
),
UserPromptMessage(
content='Who are you?'
)
UserPromptMessage(content="Who are you?"),
],
model_parameters={
'temperature': 1.0,
'top_k': 2,
'top_p': 0.5,
"temperature": 1.0,
"top_k": 2,
"top_p": 0.5,
},
stop=['How'],
stop=["How"],
stream=False,
user="abc-123"
user="abc-123",
)
assert isinstance(response, LLMResult)
@@ -70,27 +58,22 @@ def test_invoke_stream_model():
model = OpenRouterLargeLanguageModel()
response = model.invoke(
model='mistralai/mixtral-8x7b-instruct',
credentials={
'api_key': os.environ.get('TOGETHER_API_KEY'),
'mode': 'chat'
},
model="mistralai/mixtral-8x7b-instruct",
credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "chat"},
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
content="You are a helpful AI assistant.",
),
UserPromptMessage(
content='Who are you?'
)
UserPromptMessage(content="Who are you?"),
],
model_parameters={
'temperature': 1.0,
'top_k': 2,
'top_p': 0.5,
"temperature": 1.0,
"top_k": 2,
"top_p": 0.5,
},
stop=['How'],
stop=["How"],
stream=True,
user="abc-123"
user="abc-123",
)
assert isinstance(response, Generator)
@@ -105,18 +88,16 @@ def test_get_num_tokens():
model = OpenRouterLargeLanguageModel()
num_tokens = model.get_num_tokens(
model='mistralai/mixtral-8x7b-instruct',
model="mistralai/mixtral-8x7b-instruct",
credentials={
'api_key': os.environ.get('TOGETHER_API_KEY'),
"api_key": os.environ.get("TOGETHER_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 isinstance(num_tokens, int)