Merge branch 'refs/heads/main' into feat/workflow-parallel-support

# Conflicts:
#	api/core/workflow/entities/variable_pool.py
#	api/core/workflow/nodes/iteration/iteration_node.py
#	api/core/workflow/workflow_engine_manager.py
This commit is contained in:
takatost
2024-07-31 02:25:31 +08:00
184 changed files with 3427 additions and 930 deletions

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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.hunyuan.text_embedding.text_embedding import HunyuanTextEmbeddingModel
def test_validate_credentials():
model = HunyuanTextEmbeddingModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='hunyuan-embedding',
credentials={
'secret_id': 'invalid_key',
'secret_key': 'invalid_key'
}
)
model.validate_credentials(
model='hunyuan-embedding',
credentials={
'secret_id': os.environ.get('HUNYUAN_SECRET_ID'),
'secret_key': os.environ.get('HUNYUAN_SECRET_KEY')
}
)
def test_invoke_model():
model = HunyuanTextEmbeddingModel()
result = model.invoke(
model='hunyuan-embedding',
credentials={
'secret_id': os.environ.get('HUNYUAN_SECRET_ID'),
'secret_key': os.environ.get('HUNYUAN_SECRET_KEY')
},
texts=[
"hello",
"world"
],
user="abc-123"
)
assert isinstance(result, TextEmbeddingResult)
assert len(result.embeddings) == 2
assert result.usage.total_tokens == 6
def test_get_num_tokens():
model = HunyuanTextEmbeddingModel()
num_tokens = model.get_num_tokens(
model='hunyuan-embedding',
credentials={
'secret_id': os.environ.get('HUNYUAN_SECRET_ID'),
'secret_key': os.environ.get('HUNYUAN_SECRET_KEY')
},
texts=[
"hello",
"world"
]
)
assert num_tokens == 2
def test_max_chunks():
model = HunyuanTextEmbeddingModel()
result = model.invoke(
model='hunyuan-embedding',
credentials={
'secret_id': os.environ.get('HUNYUAN_SECRET_ID'),
'secret_key': os.environ.get('HUNYUAN_SECRET_KEY')
},
texts=[
"hello",
"world",
"hello",
"world",
"hello",
"world",
"hello",
"world",
"hello",
"world",
"hello",
"world",
"hello",
"world",
"hello",
"world",
"hello",
"world",
"hello",
"world",
"hello",
"world",
]
)
assert isinstance(result, TextEmbeddingResult)
assert len(result.embeddings) == 22

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import os
from collections.abc import Generator
import pytest
from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.model_providers.siliconflow.llm.llm import SiliconflowLargeLanguageModel
def test_validate_credentials():
model = SiliconflowLargeLanguageModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='deepseek-ai/DeepSeek-V2-Chat',
credentials={
'api_key': 'invalid_key'
}
)
model.validate_credentials(
model='deepseek-ai/DeepSeek-V2-Chat',
credentials={
'api_key': os.environ.get('API_KEY')
}
)
def test_invoke_model():
model = SiliconflowLargeLanguageModel()
response = model.invoke(
model='deepseek-ai/DeepSeek-V2-Chat',
credentials={
'api_key': os.environ.get('API_KEY')
},
prompt_messages=[
UserPromptMessage(
content='Who are you?'
)
],
model_parameters={
'temperature': 0.5,
'max_tokens': 10
},
stop=['How'],
stream=False,
user="abc-123"
)
assert isinstance(response, LLMResult)
assert len(response.message.content) > 0
def test_invoke_stream_model():
model = SiliconflowLargeLanguageModel()
response = model.invoke(
model='deepseek-ai/DeepSeek-V2-Chat',
credentials={
'api_key': os.environ.get('API_KEY')
},
prompt_messages=[
UserPromptMessage(
content='Hello World!'
)
],
model_parameters={
'temperature': 0.5,
'max_tokens': 100,
'seed': 1234
},
stream=True,
user="abc-123"
)
assert isinstance(response, Generator)
for chunk in response:
assert isinstance(chunk, LLMResultChunk)
assert isinstance(chunk.delta, LLMResultChunkDelta)
assert isinstance(chunk.delta.message, AssistantPromptMessage)
assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
def test_get_num_tokens():
model = SiliconflowLargeLanguageModel()
num_tokens = model.get_num_tokens(
model='deepseek-ai/DeepSeek-V2-Chat',
credentials={
'api_key': os.environ.get('API_KEY')
},
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
),
UserPromptMessage(
content='Hello World!'
)
]
)
assert num_tokens == 12

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import os
import pytest
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.model_providers.siliconflow.siliconflow import SiliconflowProvider
def test_validate_provider_credentials():
provider = SiliconflowProvider()
with pytest.raises(CredentialsValidateFailedError):
provider.validate_provider_credentials(
credentials={}
)
provider.validate_provider_credentials(
credentials={
'api_key': os.environ.get('API_KEY')
}
)