# Copyright 2025 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
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# SPDX-License-Identifier: Apache-2.0
"""Integration tests for Ollama plugin with Genkit."""
from unittest.mock import Mock
import ollama as ollama_api
import pytest
from genkit.ai import ActionKind, Genkit
from genkit.types import GenerateResponse, Message, Role, TextPart
@pytest.mark.asyncio
async def test_adding_ollama_chat_model_to_genkit_veneer(
ollama_model: str,
genkit_veneer_chat_model: Genkit,
) -> None:
"""Test adding ollama chat model to genkit veneer."""
action = await genkit_veneer_chat_model.registry.resolve_action(ActionKind.MODEL, ollama_model)
assert action is not None
@pytest.mark.asyncio
async def test_adding_ollama_generation_model_to_genkit_veneer(
ollama_model: str,
genkit_veneer_generate_model: Genkit,
) -> None:
"""Test adding ollama generation model to genkit veneer."""
action = await genkit_veneer_generate_model.registry.resolve_action(ActionKind.MODEL, ollama_model)
assert action is not None
@pytest.mark.asyncio
async def test_async_get_chat_model_response_from_llama_api_flow(
mock_ollama_api_async_client: Mock,
genkit_veneer_chat_model: Genkit,
) -> None:
"""Test async get chat model response from llama api flow."""
mock_response_message = 'Mocked response message'
async def fake_chat_response(*args, **kwargs):
return ollama_api.ChatResponse(
message=ollama_api.Message(
content=mock_response_message,
role=Role.USER,
)
)
mock_ollama_api_async_client.return_value.chat.side_effect = fake_chat_response
async def _test_fun():
return await genkit_veneer_chat_model.generate(
messages=[
Message(
role=Role.USER,
content=[
TextPart(text='Test message'),
],
)
]
)
response = await genkit_veneer_chat_model.flow()(_test_fun)()
assert isinstance(response, GenerateResponse)
assert response.message.content[0].root.text == mock_response_message
@pytest.mark.asyncio
async def test_async_get_generate_model_response_from_llama_api_flow(
mock_ollama_api_async_client: Mock,
genkit_veneer_generate_model: Genkit,
) -> None:
"""Test async get generate model response from llama api flow."""
mock_response_message = 'Mocked response message'
# Set up the mock to return proper response
mock_ollama_api_async_client.return_value.generate.return_value = ollama_api.GenerateResponse(
response=mock_response_message,
)
async def _test_fun():
return await genkit_veneer_generate_model.generate(
messages=[
Message(
role=Role.USER,
content=[
TextPart(text='Test message'),
],
)
]
)
response = await genkit_veneer_generate_model.flow()(_test_fun)()
assert isinstance(response, GenerateResponse)
assert response.message.content[0].root.text == mock_response_message
# Integration tests are covered by the above test cases
