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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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107
api/tests/integration_tests/model_runtime/minimax/test_llm.py
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@@ -17,79 +17,70 @@ def test_predefined_models():
assert len(model_schemas) >= 1
assert isinstance(model_schemas[0], AIModelEntity)
def test_validate_credentials_for_chat_model():
sleep(3)
model = MinimaxLargeLanguageModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='abab5.5-chat',
credentials={
'minimax_api_key': 'invalid_key',
'minimax_group_id': 'invalid_key'
}
model="abab5.5-chat", credentials={"minimax_api_key": "invalid_key", "minimax_group_id": "invalid_key"}
)
model.validate_credentials(
model='abab5.5-chat',
model="abab5.5-chat",
credentials={
'minimax_api_key': os.environ.get('MINIMAX_API_KEY'),
'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID')
}
"minimax_api_key": os.environ.get("MINIMAX_API_KEY"),
"minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),
},
)
def test_invoke_model():
sleep(3)
model = MinimaxLargeLanguageModel()
response = model.invoke(
model='abab5-chat',
model="abab5-chat",
credentials={
'minimax_api_key': os.environ.get('MINIMAX_API_KEY'),
'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID')
"minimax_api_key": os.environ.get("MINIMAX_API_KEY"),
"minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),
},
prompt_messages=[
UserPromptMessage(
content='Hello World!'
)
],
prompt_messages=[UserPromptMessage(content="Hello World!")],
model_parameters={
'temperature': 0.7,
'top_p': 1.0,
'top_k': 1,
"temperature": 0.7,
"top_p": 1.0,
"top_k": 1,
},
stop=['you'],
stop=["you"],
user="abc-123",
stream=False
stream=False,
)
assert isinstance(response, LLMResult)
assert len(response.message.content) > 0
assert response.usage.total_tokens > 0
def test_invoke_stream_model():
sleep(3)
model = MinimaxLargeLanguageModel()
response = model.invoke(
model='abab5.5-chat',
model="abab5.5-chat",
credentials={
'minimax_api_key': os.environ.get('MINIMAX_API_KEY'),
'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID')
"minimax_api_key": os.environ.get("MINIMAX_API_KEY"),
"minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),
},
prompt_messages=[
UserPromptMessage(
content='Hello World!'
)
],
prompt_messages=[UserPromptMessage(content="Hello World!")],
model_parameters={
'temperature': 0.7,
'top_p': 1.0,
'top_k': 1,
"temperature": 0.7,
"top_p": 1.0,
"top_k": 1,
},
stop=['you'],
stop=["you"],
stream=True,
user="abc-123"
user="abc-123",
)
assert isinstance(response, Generator)
@@ -99,34 +90,31 @@ def test_invoke_stream_model():
assert isinstance(chunk.delta.message, AssistantPromptMessage)
assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
def test_invoke_with_search():
sleep(3)
model = MinimaxLargeLanguageModel()
response = model.invoke(
model='abab5.5-chat',
model="abab5.5-chat",
credentials={
'minimax_api_key': os.environ.get('MINIMAX_API_KEY'),
'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID')
"minimax_api_key": os.environ.get("MINIMAX_API_KEY"),
"minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),
},
prompt_messages=[
UserPromptMessage(
content='北京今天的天气怎么样'
)
],
prompt_messages=[UserPromptMessage(content="北京今天的天气怎么样")],
model_parameters={
'temperature': 0.7,
'top_p': 1.0,
'top_k': 1,
'plugin_web_search': True,
"temperature": 0.7,
"top_p": 1.0,
"top_k": 1,
"plugin_web_search": True,
},
stop=['you'],
stop=["you"],
stream=True,
user="abc-123"
user="abc-123",
)
assert isinstance(response, Generator)
total_message = ''
total_message = ""
for chunk in response:
assert isinstance(chunk, LLMResultChunk)
assert isinstance(chunk.delta, LLMResultChunkDelta)
@@ -134,25 +122,22 @@ def test_invoke_with_search():
total_message += chunk.delta.message.content
assert len(chunk.delta.message.content) > 0 if not chunk.delta.finish_reason else True
assert '参考资料' in total_message
assert "参考资料" in total_message
def test_get_num_tokens():
sleep(3)
model = MinimaxLargeLanguageModel()
response = model.get_num_tokens(
model='abab5.5-chat',
model="abab5.5-chat",
credentials={
'minimax_api_key': os.environ.get('MINIMAX_API_KEY'),
'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID')
"minimax_api_key": os.environ.get("MINIMAX_API_KEY"),
"minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),
},
prompt_messages=[
UserPromptMessage(
content='Hello World!'
)
],
tools=[]
prompt_messages=[UserPromptMessage(content="Hello World!")],
tools=[],
)
assert isinstance(response, int)
assert response == 30
assert response == 30