# 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.
#
# SPDX-License-Identifier: Apache-2.0
"""Unit tests for Ollama Plugin."""
import unittest
from typing import Any, cast
from unittest.mock import AsyncMock, MagicMock
import pytest
from pydantic import BaseModel
from genkit.ai import ActionKind
from genkit.plugins.ollama import Ollama, ollama_name
from genkit.plugins.ollama.embedders import EmbeddingDefinition
from genkit.plugins.ollama.models import ModelDefinition
class TestOllamaInit(unittest.TestCase):
"""Test cases for Ollama.__init__ plugin."""
def test_init_with_models(self) -> None:
"""Test correct propagation of models param."""
model_ref = ModelDefinition(name='test_model')
plugin = Ollama(models=[model_ref])
assert plugin.models[0] == model_ref
def test_init_with_embedders(self) -> None:
"""Test correct propagation of embedders param."""
embedder_ref = EmbeddingDefinition(name='test_embedder')
plugin = Ollama(embedders=[embedder_ref])
assert plugin.embedders[0] == embedder_ref
def test_init_with_options(self) -> None:
"""Test correct propagation of other options param."""
model_ref = ModelDefinition(name='test_model')
embedder_ref = EmbeddingDefinition(name='test_embedder')
server_address = 'new.server.address'
headers = {'Content-Type': 'json'}
plugin = Ollama(
models=[model_ref],
embedders=[embedder_ref],
server_address=server_address,
request_headers=headers,
)
assert plugin.embedders[0] == embedder_ref
assert plugin.models[0] == model_ref
assert plugin.server_address == server_address
assert plugin.request_headers == headers
@pytest.mark.asyncio
async def test_initialize(ollama_plugin_instance: Ollama) -> None:
"""Test init method of Ollama plugin."""
model_ref = ModelDefinition(name='test_model')
embedder_ref = EmbeddingDefinition(name='test_embedder')
ollama_plugin_instance.models = [model_ref]
ollama_plugin_instance.embedders = [embedder_ref]
result = await ollama_plugin_instance.init()
# init returns actions for pre-configured models and embedders
assert len(result) == 2
assert result[0].kind == ActionKind.MODEL
assert result[1].kind == ActionKind.EMBEDDER
# _initialize_models and _initialize_embedders methods no longer exist in new plugin architecture
# Models and embedders are now created lazily via the resolve() method
@pytest.mark.parametrize(
'kind, name',
[
(ActionKind.MODEL, 'test_model'),
(ActionKind.EMBEDDER, 'test_embedder'),
],
)
@pytest.mark.asyncio
async def test_resolve_action(kind: ActionKind, name: str, ollama_plugin_instance: Ollama) -> None:
"""Unit Tests for resolve action method."""
action = await ollama_plugin_instance.resolve(kind, ollama_name(name))
assert action is not None
assert action.kind == kind
assert action.name == ollama_name(name)
assert action.metadata is not None
metadata = cast(dict[str, Any], action.metadata)
if kind == ActionKind.MODEL:
model_meta = cast(dict[str, Any], metadata['model'])
assert model_meta['label'] == f'Ollama - {name}'
assert model_meta['multiturn']
assert model_meta['system_role']
else:
embedder_meta = cast(dict[str, Any], metadata['embedder'])
assert embedder_meta['label'] == f'Ollama Embedding - {name}'
assert embedder_meta['supports'] == {'input': ['text']}
# _define_ollama_model and _define_ollama_embedder methods no longer exist in new plugin architecture
# Actions are now created via _create_model_action and _create_embedder_action methods
@pytest.mark.asyncio
async def test_list_actions(ollama_plugin_instance: Ollama) -> None:
"""Unit tests for list_actions method."""
class MockModelResponse(BaseModel):
model: str
class MockListResponse(BaseModel):
models: list[MockModelResponse]
_client_mock = MagicMock()
list_method_mock = AsyncMock()
_client_mock.list = list_method_mock
list_method_mock.return_value = MockListResponse(
models=[
MockModelResponse(model='test_model'),
MockModelResponse(model='test_embed'),
]
)
def mock_client() -> MagicMock:
return _client_mock
ollama_plugin_instance.client = mock_client
actions = await ollama_plugin_instance.list_actions()
assert len(actions) == 2
has_model = False
for action in actions:
if hasattr(action, 'name') and 'test_model' in action.name:
has_model = True
break
assert has_model
has_embedder = False
for action in actions:
if hasattr(action, 'name') and 'test_embed' in action.name:
has_embedder = True
break
assert has_embedder
