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