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improve: introduce isort for linting Python imports (#1983)

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This commit is contained in:
Bowen Liang
2024-01-12 12:34:01 +08:00
committed by GitHub
parent cca9edc97a
commit cc9e74123c
413 changed files with 1635 additions and 1906 deletions
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11
api/tests/integration_tests/model_runtime/azure_openai/test_llm.py
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@@ -2,16 +2,15 @@ import os
from typing import Generator
import pytest
from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunkDelta, \
LLMResultChunk
from core.model_runtime.entities.message_entities import AssistantPromptMessage, TextPromptMessageContent, \
SystemPromptMessage, ImagePromptMessageContent, PromptMessageTool, UserPromptMessage
from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
from core.model_runtime.entities.message_entities import (AssistantPromptMessage, ImagePromptMessageContent,
PromptMessageTool, SystemPromptMessage,
TextPromptMessageContent, UserPromptMessage)
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.model_providers.azure_openai.llm.llm import AzureOpenAILargeLanguageModel
from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True)
def test_validate_credentials_for_chat_model(setup_openai_mock):
model = AzureOpenAILargeLanguageModel()

3
api/tests/integration_tests/model_runtime/azure_openai/test_text_embedding.py
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@@ -1,13 +1,12 @@
import os
import pytest
from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.model_providers.azure_openai.text_embedding.text_embedding import AzureOpenAITextEmbeddingModel
from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
@pytest.mark.parametrize('setup_openai_mock', [['text_embedding']], indirect=True)
def test_validate_credentials(setup_openai_mock):
model = AzureOpenAITextEmbeddingModel()