chore(api/tests): apply ruff reformat #7590 (#7591)

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

File diff suppressed because one or more lines are too long

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@@ -7,48 +7,37 @@ from core.model_runtime.model_providers.openai.moderation.moderation import Open
from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
@pytest.mark.parametrize('setup_openai_mock', [['moderation']], indirect=True)
@pytest.mark.parametrize("setup_openai_mock", [["moderation"]], indirect=True)
def test_validate_credentials(setup_openai_mock):
model = OpenAIModerationModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='text-moderation-stable',
credentials={
'openai_api_key': 'invalid_key'
}
)
model.validate_credentials(model="text-moderation-stable", credentials={"openai_api_key": "invalid_key"})
model.validate_credentials(
model='text-moderation-stable',
credentials={
'openai_api_key': os.environ.get('OPENAI_API_KEY')
}
model="text-moderation-stable", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}
)
@pytest.mark.parametrize('setup_openai_mock', [['moderation']], indirect=True)
@pytest.mark.parametrize("setup_openai_mock", [["moderation"]], indirect=True)
def test_invoke_model(setup_openai_mock):
model = OpenAIModerationModel()
result = model.invoke(
model='text-moderation-stable',
credentials={
'openai_api_key': os.environ.get('OPENAI_API_KEY')
},
model="text-moderation-stable",
credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
text="hello",
user="abc-123"
user="abc-123",
)
assert isinstance(result, bool)
assert result is False
result = model.invoke(
model='text-moderation-stable',
credentials={
'openai_api_key': os.environ.get('OPENAI_API_KEY')
},
model="text-moderation-stable",
credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
text="i will kill you",
user="abc-123"
user="abc-123",
)
assert isinstance(result, bool)

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@@ -7,17 +7,11 @@ from core.model_runtime.model_providers.openai.openai import OpenAIProvider
from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True)
@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
def test_validate_provider_credentials(setup_openai_mock):
provider = OpenAIProvider()
with pytest.raises(CredentialsValidateFailedError):
provider.validate_provider_credentials(
credentials={}
)
provider.validate_provider_credentials(credentials={})
provider.validate_provider_credentials(
credentials={
'openai_api_key': os.environ.get('OPENAI_API_KEY')
}
)
provider.validate_provider_credentials(credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")})

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@@ -7,26 +7,17 @@ from core.model_runtime.model_providers.openai.speech2text.speech2text import Op
from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
@pytest.mark.parametrize('setup_openai_mock', [['speech2text']], indirect=True)
@pytest.mark.parametrize("setup_openai_mock", [["speech2text"]], indirect=True)
def test_validate_credentials(setup_openai_mock):
model = OpenAISpeech2TextModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='whisper-1',
credentials={
'openai_api_key': 'invalid_key'
}
)
model.validate_credentials(model="whisper-1", credentials={"openai_api_key": "invalid_key"})
model.validate_credentials(
model='whisper-1',
credentials={
'openai_api_key': os.environ.get('OPENAI_API_KEY')
}
)
model.validate_credentials(model="whisper-1", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")})
@pytest.mark.parametrize('setup_openai_mock', [['speech2text']], indirect=True)
@pytest.mark.parametrize("setup_openai_mock", [["speech2text"]], indirect=True)
def test_invoke_model(setup_openai_mock):
model = OpenAISpeech2TextModel()
@@ -34,23 +25,21 @@ def test_invoke_model(setup_openai_mock):
current_dir = os.path.dirname(os.path.abspath(__file__))
# Get assets directory
assets_dir = os.path.join(os.path.dirname(current_dir), 'assets')
assets_dir = os.path.join(os.path.dirname(current_dir), "assets")
# Construct the path to the audio file
audio_file_path = os.path.join(assets_dir, 'audio.mp3')
audio_file_path = os.path.join(assets_dir, "audio.mp3")
# Open the file and get the file object
with open(audio_file_path, 'rb') as audio_file:
with open(audio_file_path, "rb") as audio_file:
file = audio_file
result = model.invoke(
model='whisper-1',
credentials={
'openai_api_key': os.environ.get('OPENAI_API_KEY')
},
model="whisper-1",
credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
file=file,
user="abc-123"
user="abc-123",
)
assert isinstance(result, str)
assert result == '1, 2, 3, 4, 5, 6, 7, 8, 9, 10'
assert result == "1, 2, 3, 4, 5, 6, 7, 8, 9, 10"

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@@ -8,42 +8,27 @@ from core.model_runtime.model_providers.openai.text_embedding.text_embedding imp
from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
@pytest.mark.parametrize('setup_openai_mock', [['text_embedding']], indirect=True)
@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True)
def test_validate_credentials(setup_openai_mock):
model = OpenAITextEmbeddingModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='text-embedding-ada-002',
credentials={
'openai_api_key': 'invalid_key'
}
)
model.validate_credentials(model="text-embedding-ada-002", credentials={"openai_api_key": "invalid_key"})
model.validate_credentials(
model='text-embedding-ada-002',
credentials={
'openai_api_key': os.environ.get('OPENAI_API_KEY')
}
model="text-embedding-ada-002", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}
)
@pytest.mark.parametrize('setup_openai_mock', [['text_embedding']], indirect=True)
@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True)
def test_invoke_model(setup_openai_mock):
model = OpenAITextEmbeddingModel()
result = model.invoke(
model='text-embedding-ada-002',
credentials={
'openai_api_key': os.environ.get('OPENAI_API_KEY'),
'openai_api_base': 'https://api.openai.com'
},
texts=[
"hello",
"world",
" ".join(["long_text"] * 100),
" ".join(["another_long_text"] * 100)
],
user="abc-123"
model="text-embedding-ada-002",
credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY"), "openai_api_base": "https://api.openai.com"},
texts=["hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100)],
user="abc-123",
)
assert isinstance(result, TextEmbeddingResult)
@@ -55,15 +40,9 @@ def test_get_num_tokens():
model = OpenAITextEmbeddingModel()
num_tokens = model.get_num_tokens(
model='text-embedding-ada-002',
credentials={
'openai_api_key': os.environ.get('OPENAI_API_KEY'),
'openai_api_base': 'https://api.openai.com'
},
texts=[
"hello",
"world"
]
model="text-embedding-ada-002",
credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY"), "openai_api_base": "https://api.openai.com"},
texts=["hello", "world"],
)
assert num_tokens == 2