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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:
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import os
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import pytest
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from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
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from core.model_runtime.errors.validate import CredentialsValidateFailedError
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from core.model_runtime.model_providers.hunyuan.text_embedding.text_embedding import HunyuanTextEmbeddingModel
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def test_validate_credentials():
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model = HunyuanTextEmbeddingModel()
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with pytest.raises(CredentialsValidateFailedError):
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model.validate_credentials(
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model='hunyuan-embedding',
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credentials={
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'secret_id': 'invalid_key',
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'secret_key': 'invalid_key'
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}
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)
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model.validate_credentials(
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model='hunyuan-embedding',
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credentials={
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'secret_id': os.environ.get('HUNYUAN_SECRET_ID'),
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'secret_key': os.environ.get('HUNYUAN_SECRET_KEY')
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}
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)
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def test_invoke_model():
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model = HunyuanTextEmbeddingModel()
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result = model.invoke(
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model='hunyuan-embedding',
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credentials={
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'secret_id': os.environ.get('HUNYUAN_SECRET_ID'),
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'secret_key': os.environ.get('HUNYUAN_SECRET_KEY')
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},
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texts=[
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"hello",
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"world"
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],
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user="abc-123"
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)
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assert isinstance(result, TextEmbeddingResult)
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assert len(result.embeddings) == 2
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assert result.usage.total_tokens == 6
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def test_get_num_tokens():
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model = HunyuanTextEmbeddingModel()
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num_tokens = model.get_num_tokens(
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model='hunyuan-embedding',
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credentials={
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'secret_id': os.environ.get('HUNYUAN_SECRET_ID'),
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'secret_key': os.environ.get('HUNYUAN_SECRET_KEY')
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},
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texts=[
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"hello",
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"world"
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]
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)
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assert num_tokens == 2
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def test_max_chunks():
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model = HunyuanTextEmbeddingModel()
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result = model.invoke(
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model='hunyuan-embedding',
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credentials={
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'secret_id': os.environ.get('HUNYUAN_SECRET_ID'),
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'secret_key': os.environ.get('HUNYUAN_SECRET_KEY')
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},
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texts=[
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"hello",
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"world",
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"hello",
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"world",
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"hello",
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"world",
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"hello",
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"world",
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"hello",
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"world",
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"hello",
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"world",
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"hello",
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"world",
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"hello",
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"world",
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"hello",
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"world",
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"hello",
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"world",
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"hello",
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"world",
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]
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)
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assert isinstance(result, TextEmbeddingResult)
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assert len(result.embeddings) == 22
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@ -0,0 +1,106 @@
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import os
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from collections.abc import Generator
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import pytest
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from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
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from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage
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from core.model_runtime.errors.validate import CredentialsValidateFailedError
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from core.model_runtime.model_providers.siliconflow.llm.llm import SiliconflowLargeLanguageModel
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def test_validate_credentials():
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model = SiliconflowLargeLanguageModel()
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with pytest.raises(CredentialsValidateFailedError):
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model.validate_credentials(
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model='deepseek-ai/DeepSeek-V2-Chat',
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credentials={
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'api_key': 'invalid_key'
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}
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)
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model.validate_credentials(
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model='deepseek-ai/DeepSeek-V2-Chat',
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credentials={
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'api_key': os.environ.get('API_KEY')
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}
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)
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def test_invoke_model():
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model = SiliconflowLargeLanguageModel()
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response = model.invoke(
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model='deepseek-ai/DeepSeek-V2-Chat',
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credentials={
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'api_key': os.environ.get('API_KEY')
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},
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prompt_messages=[
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UserPromptMessage(
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content='Who are you?'
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)
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],
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model_parameters={
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'temperature': 0.5,
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'max_tokens': 10
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},
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stop=['How'],
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stream=False,
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user="abc-123"
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)
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assert isinstance(response, LLMResult)
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assert len(response.message.content) > 0
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def test_invoke_stream_model():
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model = SiliconflowLargeLanguageModel()
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response = model.invoke(
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model='deepseek-ai/DeepSeek-V2-Chat',
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credentials={
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'api_key': os.environ.get('API_KEY')
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},
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prompt_messages=[
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UserPromptMessage(
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content='Hello World!'
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)
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],
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model_parameters={
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'temperature': 0.5,
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'max_tokens': 100,
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'seed': 1234
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},
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stream=True,
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user="abc-123"
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)
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assert isinstance(response, Generator)
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for chunk in response:
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assert isinstance(chunk, LLMResultChunk)
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assert isinstance(chunk.delta, LLMResultChunkDelta)
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assert isinstance(chunk.delta.message, AssistantPromptMessage)
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assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
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def test_get_num_tokens():
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model = SiliconflowLargeLanguageModel()
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num_tokens = model.get_num_tokens(
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model='deepseek-ai/DeepSeek-V2-Chat',
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credentials={
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'api_key': os.environ.get('API_KEY')
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},
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prompt_messages=[
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SystemPromptMessage(
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content='You are a helpful AI assistant.',
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),
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UserPromptMessage(
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content='Hello World!'
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)
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]
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)
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assert num_tokens == 12
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@ -0,0 +1,21 @@
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import os
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import pytest
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from core.model_runtime.errors.validate import CredentialsValidateFailedError
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from core.model_runtime.model_providers.siliconflow.siliconflow import SiliconflowProvider
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def test_validate_provider_credentials():
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provider = SiliconflowProvider()
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with pytest.raises(CredentialsValidateFailedError):
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provider.validate_provider_credentials(
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credentials={}
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)
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provider.validate_provider_credentials(
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credentials={
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'api_key': os.environ.get('API_KEY')
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}
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)
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