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microsoft--semantic-kernel/python/tests/unit/agents/bedrock_agent/conftest.py
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188 lines
4.8 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
from collections.abc import Callable
import pytest
from semantic_kernel.agents.bedrock.models.bedrock_agent_event_type import BedrockAgentEventType
from semantic_kernel.agents.bedrock.models.bedrock_agent_model import BedrockAgentModel
from semantic_kernel.agents.bedrock.models.bedrock_agent_status import BedrockAgentStatus
from semantic_kernel.kernel import Kernel
@pytest.fixture()
def bedrock_agent_unit_test_env(monkeypatch, exclude_list, override_env_param_dict):
"""Fixture to set environment variables for Amazon Bedrock Agent unit tests."""
if exclude_list is None:
exclude_list = []
if override_env_param_dict is None:
override_env_param_dict = {}
env_vars = {
"BEDROCK_AGENT_AGENT_RESOURCE_ROLE_ARN": "TEST_BEDROCK_AGENT_AGENT_RESOURCE_ROLE_ARN",
"BEDROCK_AGENT_FOUNDATION_MODEL": "TEST_BEDROCK_AGENT_FOUNDATION_MODEL",
}
env_vars.update(override_env_param_dict)
for key, value in env_vars.items():
if key not in exclude_list:
monkeypatch.setenv(key, value)
else:
monkeypatch.delenv(key, raising=False)
return env_vars
@pytest.fixture
def kernel_with_function(kernel: Kernel, decorated_native_function: Callable) -> Kernel:
kernel.add_function("test_plugin", function=decorated_native_function)
return kernel
@pytest.fixture
def new_agent_name():
return "test_agent_name"
@pytest.fixture
def bedrock_agent_model():
return BedrockAgentModel(
agent_name="test_agent_name",
foundation_model="test_foundation_model",
agent_status=BedrockAgentStatus.NOT_PREPARED,
)
@pytest.fixture
def bedrock_agent_model_with_id():
return BedrockAgentModel(
agent_id="test_agent_id",
agent_name="test_agent_name",
foundation_model="test_foundation_model",
agent_status=BedrockAgentStatus.NOT_PREPARED,
)
@pytest.fixture
def bedrock_agent_model_with_id_prepared_dict():
return {
"agent": {
"agentId": "test_agent_id",
"agentName": "test_agent_name",
"foundationModel": "test_foundation_model",
"agentStatus": "PREPARED",
}
}
@pytest.fixture
def bedrock_agent_model_with_id_preparing_dict():
return {
"agent": {
"agentId": "test_agent_id",
"agentName": "test_agent_name",
"foundationModel": "test_foundation_model",
"agentStatus": "PREPARING",
}
}
@pytest.fixture
def bedrock_agent_model_with_id_not_prepared_dict():
return {
"agent": {
"agentId": "test_agent_id",
"agentName": "test_agent_name",
"foundationModel": "test_foundation_model",
"agentStatus": "NOT_PREPARED",
}
}
@pytest.fixture
def existing_agent_not_prepared_model():
return BedrockAgentModel(
agent_id="test_agent_id",
agent_name="test_agent_name",
foundation_model="test_foundation_model",
agent_status=BedrockAgentStatus.NOT_PREPARED,
)
@pytest.fixture
def bedrock_action_group_mode_dict():
return {
"agentActionGroup": {
"actionGroupId": "test_action_group_id",
"actionGroupName": "test_action_group_name",
}
}
@pytest.fixture
def simple_response():
return "test response"
@pytest.fixture
def bedrock_agent_non_streaming_empty_response():
return {
"completion": [],
}
@pytest.fixture
def bedrock_agent_non_streaming_simple_response(simple_response):
return {
"completion": [
{
"chunk": {"bytes": bytes(simple_response, "utf-8")},
},
],
}
@pytest.fixture
def bedrock_agent_streaming_simple_response(simple_response):
return {
"completion": [
{
"chunk": {"bytes": bytes(chunk, "utf-8")},
}
for chunk in simple_response
]
}
@pytest.fixture
def bedrock_agent_function_call_response():
return {
"completion": [
{
BedrockAgentEventType.RETURN_CONTROL: {
"invocationId": "test_invocation_id",
"invocationInputs": [
{
"functionInvocationInput": {
"function": "test_function",
"parameters": [
{"name": "test_parameter_name", "value": "test_parameter_value"},
],
},
},
],
},
},
],
}
@pytest.fixture
def bedrock_agent_create_session_response():
return {
"sessionId": "test_session_id",
}