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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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121
api/tests/integration_tests/model_runtime/stepfun/test_llm.py
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@@ -21,40 +21,22 @@ def test_validate_credentials():
model = StepfunLargeLanguageModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='step-1-8k',
credentials={
'api_key': 'invalid_key'
}
)
model.validate_credentials(model="step-1-8k", credentials={"api_key": "invalid_key"})
model.validate_credentials(model="step-1-8k", credentials={"api_key": os.environ.get("STEPFUN_API_KEY")})
model.validate_credentials(
model='step-1-8k',
credentials={
'api_key': os.environ.get('STEPFUN_API_KEY')
}
)
def test_invoke_model():
model = StepfunLargeLanguageModel()
response = model.invoke(
model='step-1-8k',
credentials={
'api_key': os.environ.get('STEPFUN_API_KEY')
},
prompt_messages=[
UserPromptMessage(
content='Hello World!'
)
],
model_parameters={
'temperature': 0.9,
'top_p': 0.7
},
stop=['Hi'],
model="step-1-8k",
credentials={"api_key": os.environ.get("STEPFUN_API_KEY")},
prompt_messages=[UserPromptMessage(content="Hello World!")],
model_parameters={"temperature": 0.9, "top_p": 0.7},
stop=["Hi"],
stream=False,
user="abc-123"
user="abc-123",
)
assert isinstance(response, LLMResult)
@@ -65,24 +47,17 @@ def test_invoke_stream_model():
model = StepfunLargeLanguageModel()
response = model.invoke(
model='step-1-8k',
credentials={
'api_key': os.environ.get('STEPFUN_API_KEY')
},
model="step-1-8k",
credentials={"api_key": os.environ.get("STEPFUN_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': 0.9,
'top_p': 0.7
},
model_parameters={"temperature": 0.9, "top_p": 0.7},
stream=True,
user="abc-123"
user="abc-123",
)
assert isinstance(response, Generator)
@@ -98,10 +73,7 @@ def test_get_customizable_model_schema():
model = StepfunLargeLanguageModel()
schema = model.get_customizable_model_schema(
model='step-1-8k',
credentials={
'api_key': os.environ.get('STEPFUN_API_KEY')
}
model="step-1-8k", credentials={"api_key": os.environ.get("STEPFUN_API_KEY")}
)
assert isinstance(schema, AIModelEntity)
@@ -110,67 +82,44 @@ def test_invoke_chat_model_with_tools():
model = StepfunLargeLanguageModel()
result = model.invoke(
model='step-1-8k',
credentials={
'api_key': os.environ.get('STEPFUN_API_KEY')
},
model="step-1-8k",
credentials={"api_key": os.environ.get("STEPFUN_API_KEY")},
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
content="You are a helpful AI assistant.",
),
UserPromptMessage(
content="what's the weather today in Shanghai?",
)
),
],
model_parameters={
'temperature': 0.9,
'max_tokens': 100
},
model_parameters={"temperature": 0.9, "max_tokens": 100},
tools=[
PromptMessageTool(
name='get_weather',
description='Determine weather in my location',
name="get_weather",
description="Determine weather in my location",
parameters={
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state e.g. San Francisco, CA"
},
"unit": {
"type": "string",
"enum": [
"c",
"f"
]
}
"location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
"unit": {"type": "string", "enum": ["c", "f"]},
},
"required": [
"location"
]
}
"required": ["location"],
},
),
PromptMessageTool(
name='get_stock_price',
description='Get the current stock price',
name="get_stock_price",
description="Get the current stock price",
parameters={
"type": "object",
"properties": {
"symbol": {
"type": "string",
"description": "The stock symbol"
}
},
"required": [
"symbol"
]
}
)
"properties": {"symbol": {"type": "string", "description": "The stock symbol"}},
"required": ["symbol"],
},
),
],
stream=False,
user="abc-123"
user="abc-123",
)
assert isinstance(result, LLMResult)
assert isinstance(result.message, AssistantPromptMessage)
assert len(result.message.tool_calls) > 0
assert len(result.message.tool_calls) > 0