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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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106
api/tests/integration_tests/model_runtime/zhipuai/test_llm.py
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@@ -18,41 +18,22 @@ def test_validate_credentials():
model = ZhipuAILargeLanguageModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='chatglm_turbo',
credentials={
'api_key': 'invalid_key'
}
)
model.validate_credentials(model="chatglm_turbo", credentials={"api_key": "invalid_key"})
model.validate_credentials(
model='chatglm_turbo',
credentials={
'api_key': os.environ.get('ZHIPUAI_API_KEY')
}
)
model.validate_credentials(model="chatglm_turbo", credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")})
def test_invoke_model():
model = ZhipuAILargeLanguageModel()
response = model.invoke(
model='chatglm_turbo',
credentials={
'api_key': os.environ.get('ZHIPUAI_API_KEY')
},
prompt_messages=[
UserPromptMessage(
content='Who are you?'
)
],
model_parameters={
'temperature': 0.9,
'top_p': 0.7
},
stop=['How'],
model="chatglm_turbo",
credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")},
prompt_messages=[UserPromptMessage(content="Who are you?")],
model_parameters={"temperature": 0.9, "top_p": 0.7},
stop=["How"],
stream=False,
user="abc-123"
user="abc-123",
)
assert isinstance(response, LLMResult)
@@ -63,21 +44,12 @@ def test_invoke_stream_model():
model = ZhipuAILargeLanguageModel()
response = model.invoke(
model='chatglm_turbo',
credentials={
'api_key': os.environ.get('ZHIPUAI_API_KEY')
},
prompt_messages=[
UserPromptMessage(
content='Hello World!'
)
],
model_parameters={
'temperature': 0.9,
'top_p': 0.7
},
model="chatglm_turbo",
credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")},
prompt_messages=[UserPromptMessage(content="Hello World!")],
model_parameters={"temperature": 0.9, "top_p": 0.7},
stream=True,
user="abc-123"
user="abc-123",
)
assert isinstance(response, Generator)
@@ -93,63 +65,45 @@ def test_get_num_tokens():
model = ZhipuAILargeLanguageModel()
num_tokens = model.get_num_tokens(
model='chatglm_turbo',
credentials={
'api_key': os.environ.get('ZHIPUAI_API_KEY')
},
model="chatglm_turbo",
credentials={"api_key": os.environ.get("ZHIPUAI_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 == 14
def test_get_tools_num_tokens():
model = ZhipuAILargeLanguageModel()
num_tokens = model.get_num_tokens(
model='tools',
credentials={
'api_key': os.environ.get('ZHIPUAI_API_KEY')
},
model="tools",
credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")},
tools=[
PromptMessageTool(
name='get_current_weather',
description='Get the current weather in a given location',
name="get_current_weather",
description="Get the current weather in a given 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"],
},
)
],
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 == 88