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from unittest.mock import AsyncMock, patch
import pytest
from fastapi.testclient import TestClient
@pytest.fixture
def client():
"""Create test client after environment variables have been cleared by conftest."""
from api.main import app
return TestClient(app)
class TestModelCreation:
"""Test suite for Model Creation endpoint."""
@pytest.mark.asyncio
@patch("open_notebook.database.repository.repo_query")
@patch("api.routers.models.Model.save")
async def test_create_duplicate_model_same_case(self, mock_save, mock_repo_query, client):
"""Test that creating a duplicate model with same case returns 400."""
# Mock repo_query to return a duplicate model
mock_repo_query.return_value = [{"id": "model:123", "name": "gpt-4", "provider": "openai", "type": "language"}]
# Attempt to create duplicate
response = client.post(
"/api/models",
json={
"name": "gpt-4",
"provider": "openai",
"type": "language"
}
)
assert response.status_code == 400
assert response.json()["detail"] == "Model 'gpt-4' already exists for provider 'openai'"
@pytest.mark.asyncio
@patch("open_notebook.database.repository.repo_query")
@patch("api.routers.models.Model.save")
async def test_create_duplicate_model_different_case(self, mock_save, mock_repo_query, client):
"""Test that creating a duplicate model with different case returns 400."""
# Mock repo_query to return a duplicate model (case-insensitive match)
mock_repo_query.return_value = [{"id": "model:123", "name": "gpt-4", "provider": "openai", "type": "language"}]
# Attempt to create duplicate with different case
response = client.post(
"/api/models",
json={
"name": "GPT-4",
"provider": "OpenAI",
"type": "language"
}
)
assert response.status_code == 400
assert response.json()["detail"] == "Model 'GPT-4' already exists for provider 'OpenAI'"
@pytest.mark.asyncio
@patch("open_notebook.database.repository.repo_query")
async def test_create_same_model_name_different_provider(self, mock_repo_query, client):
"""Test that creating a model with same name but different provider is allowed."""
from open_notebook.domain.models import Model
# Mock repo_query to return empty (no duplicate found for different provider)
mock_repo_query.return_value = []
# Patch the save method on the Model class
with patch.object(Model, 'save', new_callable=AsyncMock) as mock_save:
# Attempt to create same model name with different provider (anthropic)
response = client.post(
"/api/models",
json={
"name": "gpt-4",
"provider": "anthropic",
"type": "language"
}
)
# Should succeed because provider is different
assert response.status_code == 200
class TestModelsProviderAvailability:
"""Test suite for Models Provider Availability endpoint."""
@patch("api.routers.models.os.environ.get")
@patch("api.routers.models.AIFactory.get_available_providers")
def test_generic_env_var_enables_all_modes(self, mock_esperanto, mock_env, client):
"""Test that OPENAI_COMPATIBLE_BASE_URL enables all 4 modes."""
# Mock environment: only generic var is set
def env_side_effect(key):
if key == "OPENAI_COMPATIBLE_BASE_URL":
return "http://localhost:1234/v1"
return None
mock_env.side_effect = env_side_effect
# Mock Esperanto response
mock_esperanto.return_value = {
"language": ["openai-compatible"],
"embedding": ["openai-compatible"],
"speech_to_text": ["openai-compatible"],
"text_to_speech": ["openai-compatible"],
}
response = client.get("/api/models/providers")
assert response.status_code == 200
data = response.json()
# openai-compatible should be available
assert "openai-compatible" in data["available"]
# Should support all 4 types
assert "openai-compatible" in data["supported_types"]
supported = data["supported_types"]["openai-compatible"]
assert "language" in supported
assert "embedding" in supported
assert "speech_to_text" in supported
assert "text_to_speech" in supported
assert len(supported) == 4
@patch("api.routers.models.os.environ.get")
@patch("api.routers.models.AIFactory.get_available_providers")
def test_mode_specific_env_vars_llm_embedding(self, mock_esperanto, mock_env, client):
"""Test mode-specific env vars (LLM + EMBEDDING) enable only those 2 modes."""
# Mock environment: only LLM and EMBEDDING specific vars are set
def env_side_effect(key):
if key == "OPENAI_COMPATIBLE_BASE_URL_LLM":
return "http://localhost:1234/v1"
if key == "OPENAI_COMPATIBLE_BASE_URL_EMBEDDING":
return "http://localhost:8080/v1"
return None
mock_env.side_effect = env_side_effect
# Mock Esperanto response
mock_esperanto.return_value = {
"language": ["openai-compatible"],
"embedding": ["openai-compatible"],
"speech_to_text": ["openai-compatible"],
"text_to_speech": ["openai-compatible"],
}
response = client.get("/api/models/providers")
assert response.status_code == 200
data = response.json()
# openai-compatible should be available
assert "openai-compatible" in data["available"]
# Should support only language and embedding
assert "openai-compatible" in data["supported_types"]
supported = data["supported_types"]["openai-compatible"]
assert "language" in supported
assert "embedding" in supported
assert "speech_to_text" not in supported
assert "text_to_speech" not in supported
assert len(supported) == 2
@patch("api.routers.models.os.environ.get")
@patch("api.routers.models.AIFactory.get_available_providers")
def test_no_env_vars_set(self, mock_esperanto, mock_env, client):
"""Test that openai-compatible is not available when no env vars are set."""
# Mock environment: no openai-compatible vars are set
def env_side_effect(key):
return None
mock_env.side_effect = env_side_effect
# Mock Esperanto response
mock_esperanto.return_value = {
"language": ["openai-compatible"],
"embedding": ["openai-compatible"],
}
response = client.get("/api/models/providers")
assert response.status_code == 200
data = response.json()
# openai-compatible should NOT be available
assert "openai-compatible" not in data["available"]
assert "openai-compatible" in data["unavailable"]
# Should not have supported_types entry
assert "openai-compatible" not in data["supported_types"]
@patch("api.routers.models.os.environ.get")
@patch("api.routers.models.AIFactory.get_available_providers")
def test_mixed_config_generic_and_mode_specific(self, mock_esperanto, mock_env, client):
"""Test mixed config: generic + mode-specific (generic should enable all)."""
# Mock environment: both generic and mode-specific vars are set
def env_side_effect(key):
if key == "OPENAI_COMPATIBLE_BASE_URL":
return "http://localhost:1234/v1"
if key == "OPENAI_COMPATIBLE_BASE_URL_LLM":
return "http://localhost:5678/v1"
return None
mock_env.side_effect = env_side_effect
# Mock Esperanto response
mock_esperanto.return_value = {
"language": ["openai-compatible"],
"embedding": ["openai-compatible"],
"speech_to_text": ["openai-compatible"],
"text_to_speech": ["openai-compatible"],
}
response = client.get("/api/models/providers")
assert response.status_code == 200
data = response.json()
# openai-compatible should be available
assert "openai-compatible" in data["available"]
# Generic var enables all, so all 4 should be supported
assert "openai-compatible" in data["supported_types"]
supported = data["supported_types"]["openai-compatible"]
assert "language" in supported
assert "embedding" in supported
assert "speech_to_text" in supported
assert "text_to_speech" in supported
assert len(supported) == 4
@patch("api.routers.models.os.environ.get")
@patch("api.routers.models.AIFactory.get_available_providers")
def test_individual_mode_llm_only(self, mock_esperanto, mock_env, client):
"""Test individual mode-specific var (LLM only)."""
# Mock environment: only LLM specific var is set
def env_side_effect(key):
if key == "OPENAI_COMPATIBLE_BASE_URL_LLM":
return "http://localhost:1234/v1"
return None
mock_env.side_effect = env_side_effect
# Mock Esperanto response
mock_esperanto.return_value = {
"language": ["openai-compatible"],
"embedding": ["openai-compatible"],
"speech_to_text": ["openai-compatible"],
"text_to_speech": ["openai-compatible"],
}
response = client.get("/api/models/providers")
assert response.status_code == 200
data = response.json()
# Should support only language
supported = data["supported_types"]["openai-compatible"]
assert supported == ["language"]
@patch("api.routers.models.os.environ.get")
@patch("api.routers.models.AIFactory.get_available_providers")
def test_individual_mode_embedding_only(self, mock_esperanto, mock_env, client):
"""Test individual mode-specific var (EMBEDDING only)."""
# Mock environment: only EMBEDDING specific var is set
def env_side_effect(key):
if key == "OPENAI_COMPATIBLE_BASE_URL_EMBEDDING":
return "http://localhost:8080/v1"
return None
mock_env.side_effect = env_side_effect
# Mock Esperanto response
mock_esperanto.return_value = {
"language": ["openai-compatible"],
"embedding": ["openai-compatible"],
"speech_to_text": ["openai-compatible"],
"text_to_speech": ["openai-compatible"],
}
response = client.get("/api/models/providers")
assert response.status_code == 200
data = response.json()
# Should support only embedding
supported = data["supported_types"]["openai-compatible"]
assert supported == ["embedding"]
@patch("api.routers.models.os.environ.get")
@patch("api.routers.models.AIFactory.get_available_providers")
def test_individual_mode_stt_only(self, mock_esperanto, mock_env, client):
"""Test individual mode-specific var (STT only)."""
# Mock environment: only STT specific var is set
def env_side_effect(key):
if key == "OPENAI_COMPATIBLE_BASE_URL_STT":
return "http://localhost:9000/v1"
return None
mock_env.side_effect = env_side_effect
# Mock Esperanto response
mock_esperanto.return_value = {
"language": ["openai-compatible"],
"embedding": ["openai-compatible"],
"speech_to_text": ["openai-compatible"],
"text_to_speech": ["openai-compatible"],
}
response = client.get("/api/models/providers")
assert response.status_code == 200
data = response.json()
# Should support only speech_to_text
supported = data["supported_types"]["openai-compatible"]
assert supported == ["speech_to_text"]
@patch("api.routers.models.os.environ.get")
@patch("api.routers.models.AIFactory.get_available_providers")
def test_individual_mode_tts_only(self, mock_esperanto, mock_env, client):
"""Test individual mode-specific var (TTS only)."""
# Mock environment: only TTS specific var is set
def env_side_effect(key):
if key == "OPENAI_COMPATIBLE_BASE_URL_TTS":
return "http://localhost:9000/v1"
return None
mock_env.side_effect = env_side_effect
# Mock Esperanto response
mock_esperanto.return_value = {
"language": ["openai-compatible"],
"embedding": ["openai-compatible"],
"speech_to_text": ["openai-compatible"],
"text_to_speech": ["openai-compatible"],
}
response = client.get("/api/models/providers")
assert response.status_code == 200
data = response.json()
# Should support only text_to_speech
supported = data["supported_types"]["openai-compatible"]
assert supported == ["text_to_speech"]
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