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test_openai.py
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import unittest
from azure.functions import DataType
from azure.functions.decorators.core import BindingDirection
from azure.functions.decorators.openai import AssistantSkillTrigger, \
TextCompletionInput, OpenAIModels, AssistantQueryInput, EmbeddingsInput, \
AssistantCreateOutput, SemanticSearchInput, EmbeddingsStoreOutput, \
AssistantPostInput
class TestOpenAI(unittest.TestCase):
def test_assistant_skill_trigger_valid_creation(self):
trigger = AssistantSkillTrigger(name="test",
function_description="description",
function_name="test_function_name",
parameter_description_json="test_json",
model=OpenAIModels.DefaultChatModel,
data_type=DataType.UNDEFINED,
dummy_field="dummy")
self.assertEqual(trigger.get_binding_name(),
"assistantSkillTrigger")
self.assertEqual(
trigger.get_dict_repr(), {"name": "test",
"functionDescription": "description",
"functionName": "test_function_name",
"parameterDescriptionJson": "test_json",
"model": OpenAIModels.DefaultChatModel,
"dataType": DataType.UNDEFINED,
'type': 'assistantSkillTrigger',
'dummyField': 'dummy',
"direction": BindingDirection.IN,
})
def test_text_completion_input_valid_creation(self):
input = TextCompletionInput(name="test",
prompt="test_prompt",
temperature="1",
max_tokens="1",
data_type=DataType.UNDEFINED,
model=OpenAIModels.DefaultChatModel,
dummy_field="dummy")
self.assertEqual(input.get_binding_name(),
"textCompletion")
self.assertEqual(input.get_dict_repr(),
{"name": "test",
"temperature": "1",
"maxTokens": "1",
'type': 'textCompletion',
"dataType": DataType.UNDEFINED,
"dummyField": "dummy",
"prompt": "test_prompt",
"direction": BindingDirection.IN,
"model": OpenAIModels.DefaultChatModel
})
def test_assistant_query_input_valid_creation(self):
input = AssistantQueryInput(name="test",
timestamp_utc="timestamp_utc",
chat_storage_connection_setting="AzureWebJobsStorage", # noqa: E501
collection_name="ChatState",
data_type=DataType.UNDEFINED,
id="test_id",
type="assistantQueryInput",
dummy_field="dummy")
self.assertEqual(input.get_binding_name(),
"assistantQuery")
self.assertEqual(input.get_dict_repr(),
{"name": "test",
"timestampUtc": "timestamp_utc",
"chatStorageConnectionSetting": "AzureWebJobsStorage", # noqa: E501
"collectionName": "ChatState",
"dataType": DataType.UNDEFINED,
"direction": BindingDirection.IN,
"type": "assistantQuery",
"id": "test_id",
"dummyField": "dummy"
})
def test_embeddings_input_valid_creation(self):
input = EmbeddingsInput(name="test",
data_type=DataType.UNDEFINED,
input="test_input",
input_type="test_input_type",
model="test_model",
max_overlap=1,
max_chunk_length=1,
dummy_field="dummy")
self.assertEqual(input.get_binding_name(),
"embeddings")
self.assertEqual(input.get_dict_repr(),
{"name": "test",
"type": "embeddings",
"dataType": DataType.UNDEFINED,
"input": "test_input",
"inputType": "test_input_type",
"model": "test_model",
"maxOverlap": 1,
"maxChunkLength": 1,
"direction": BindingDirection.IN,
"dummyField": "dummy"})
def test_assistant_create_output_valid_creation(self):
output = AssistantCreateOutput(name="test",
data_type=DataType.UNDEFINED)
self.assertEqual(output.get_binding_name(),
"assistantCreate")
self.assertEqual(output.get_dict_repr(),
{"name": "test",
"dataType": DataType.UNDEFINED,
"direction": BindingDirection.OUT,
"type": "assistantCreate"})
def test_assistant_post_input_valid_creation(self):
input = AssistantPostInput(name="test",
id="test_id",
model="test_model",
chat_storage_connection_setting="AzureWebJobsStorage", # noqa: E501
collection_name="ChatState",
user_message="test_message",
data_type=DataType.UNDEFINED,
dummy_field="dummy")
self.assertEqual(input.get_binding_name(),
"assistantPost")
self.assertEqual(input.get_dict_repr(),
{"name": "test",
"id": "test_id",
"model": "test_model",
"chatStorageConnectionSetting": "AzureWebJobsStorage", # noqa: E501
"collectionName": "ChatState",
"userMessage": "test_message",
"dataType": DataType.UNDEFINED,
"direction": BindingDirection.IN,
"dummyField": "dummy",
"type": "assistantPost"})
def test_semantic_search_input_valid_creation(self):
input = SemanticSearchInput(name="test",
data_type=DataType.UNDEFINED,
chat_model=OpenAIModels.DefaultChatModel,
embeddings_model=OpenAIModels.DefaultEmbeddingsModel, # NoQA
collection="test_collection",
connection_name="test_connection",
system_prompt="test_prompt",
query="test_query",
max_knowledge_count=1,
dummy_field="dummy_field")
self.assertEqual(input.get_binding_name(),
"semanticSearch")
self.assertEqual(input.get_dict_repr(),
{"name": "test",
"dataType": DataType.UNDEFINED,
"direction": BindingDirection.IN,
"dummyField": "dummy_field",
"chatModel": OpenAIModels.DefaultChatModel,
"embeddingsModel": OpenAIModels.DefaultEmbeddingsModel, # NoQA
"type": "semanticSearch",
"collection": "test_collection",
"connectionName": "test_connection",
"systemPrompt": "test_prompt",
"maxKnowledgeCount": 1,
"query": "test_query"})
def test_embeddings_store_output_valid_creation(self):
output = EmbeddingsStoreOutput(name="test",
data_type=DataType.UNDEFINED,
input="test_input",
input_type="test_input_type",
connection_name="test_connection",
max_overlap=1,
max_chunk_length=1,
collection="test_collection",
model=OpenAIModels.DefaultChatModel,
dummy_field="dummy_field")
self.assertEqual(output.get_binding_name(),
"embeddingsStore")
self.assertEqual(output.get_dict_repr(),
{"name": "test",
"dataType": DataType.UNDEFINED,
"direction": BindingDirection.OUT,
"dummyField": "dummy_field",
"input": "test_input",
"inputType": "test_input_type",
"collection": "test_collection",
"model": OpenAIModels.DefaultChatModel,
"connectionName": "test_connection",
"maxOverlap": 1,
"maxChunkLength": 1,
"type": "embeddingsStore"})