mirror of
https://github.com/eigent-ai/eigent.git
synced 2026-04-28 11:40:25 +00:00
33829f2c1e
Co-authored-by: 4pmtong <web_chentong@163.com> Co-authored-by: Wendong-Fan <133094783+Wendong-Fan@users.noreply.github.com> Co-authored-by: Wendong-Fan <w3ndong.fan@gmail.com>
315 lines
14 KiB
Python
315 lines
14 KiB
Python
# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
|
|
# 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.
|
|
# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
|
|
|
|
from unittest.mock import MagicMock, patch
|
|
import pytest
|
|
from fastapi.testclient import TestClient
|
|
|
|
from app.controller.model_controller import validate_model, ValidateModelRequest, ValidateModelResponse
|
|
|
|
|
|
@pytest.mark.unit
|
|
class TestModelController:
|
|
"""Test cases for model controller endpoints."""
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_validate_model_success(self):
|
|
"""Test successful model validation."""
|
|
request_data = ValidateModelRequest(
|
|
model_platform="openai",
|
|
model_type="gpt-4o",
|
|
api_key="test_key",
|
|
url="https://api.openai.com/v1",
|
|
model_config_dict={"temperature": 0.7},
|
|
extra_params={"max_tokens": 1000},
|
|
)
|
|
|
|
mock_agent = MagicMock()
|
|
mock_response = MagicMock()
|
|
tool_call = MagicMock()
|
|
tool_call.result = (
|
|
"Tool execution completed successfully for https://www.camel-ai.org, Website Content: Welcome to CAMEL AI!"
|
|
)
|
|
mock_response.info = {"tool_calls": [tool_call]}
|
|
mock_agent.step.return_value = mock_response
|
|
|
|
with patch("app.controller.model_controller.create_agent", return_value=mock_agent):
|
|
response = await validate_model(request_data)
|
|
|
|
assert isinstance(response, ValidateModelResponse)
|
|
assert response.is_valid is True
|
|
assert response.is_tool_calls is True
|
|
assert response.message == "Validation Success"
|
|
assert response.error_code is None
|
|
assert response.error is None
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_validate_model_creation_failure(self):
|
|
"""Test model validation when agent creation fails."""
|
|
request_data = ValidateModelRequest(model_platform="INVALID", model_type="INVALID_MODEL", api_key="invalid_key")
|
|
|
|
with patch(
|
|
"app.controller.model_controller.create_agent", side_effect=Exception("Invalid model configuration")
|
|
):
|
|
response = await validate_model(request_data)
|
|
assert isinstance(response, ValidateModelResponse)
|
|
assert response.is_valid is False
|
|
assert response.is_tool_calls is False
|
|
assert "Invalid model name" in response.message
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_validate_model_step_failure(self):
|
|
"""Test model validation when agent step fails."""
|
|
request_data = ValidateModelRequest(model_platform="openai", model_type="gpt-4o", api_key="test_key")
|
|
|
|
mock_agent = MagicMock()
|
|
mock_agent.step.side_effect = Exception("API call failed")
|
|
|
|
with patch("app.controller.model_controller.create_agent", return_value=mock_agent):
|
|
response = await validate_model(request_data)
|
|
|
|
assert isinstance(response, ValidateModelResponse)
|
|
assert response.is_valid is False
|
|
assert response.is_tool_calls is False
|
|
assert "API call failed" in response.message
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_validate_model_tool_calls_false(self):
|
|
"""Test model validation when tool calls fail."""
|
|
request_data = ValidateModelRequest(model_platform="openai", model_type="gpt-4o", api_key="test_key")
|
|
|
|
mock_agent = MagicMock()
|
|
mock_response = MagicMock()
|
|
tool_call = MagicMock()
|
|
tool_call.result = "Different response"
|
|
mock_response.info = {"tool_calls": [tool_call]}
|
|
mock_agent.step.return_value = mock_response
|
|
|
|
with patch("app.controller.model_controller.create_agent", return_value=mock_agent):
|
|
response = await validate_model(request_data)
|
|
|
|
assert isinstance(response, ValidateModelResponse)
|
|
assert response.is_valid is True
|
|
assert response.is_tool_calls is False
|
|
assert response.message == "This model doesn't support tool calls. please try with another model."
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_validate_model_with_minimal_parameters(self):
|
|
"""Test model validation with minimal parameters."""
|
|
request_data = ValidateModelRequest() # Uses default values
|
|
|
|
mock_agent = MagicMock()
|
|
mock_response = MagicMock()
|
|
tool_call = MagicMock()
|
|
tool_call.result = (
|
|
"Tool execution completed successfully for https://www.camel-ai.org, Website Content: Welcome to CAMEL AI!"
|
|
)
|
|
mock_response.info = {"tool_calls": [tool_call]}
|
|
mock_agent.step.return_value = mock_response
|
|
|
|
with patch("app.controller.model_controller.create_agent", return_value=mock_agent):
|
|
response = await validate_model(request_data)
|
|
assert isinstance(response, ValidateModelResponse)
|
|
assert response.is_valid is False
|
|
assert response.is_tool_calls is False
|
|
assert response.error_code is not None
|
|
assert response.error is not None
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_validate_model_no_response(self):
|
|
"""Test model validation when no response is returned."""
|
|
request_data = ValidateModelRequest(model_platform="openai", model_type="gpt-4o")
|
|
|
|
mock_agent = MagicMock()
|
|
mock_agent.step.return_value = None
|
|
|
|
# When response is None, should return False
|
|
with patch("app.controller.model_controller.create_agent", return_value=mock_agent):
|
|
result = await validate_model(request_data)
|
|
assert result.is_valid is False
|
|
assert result.is_tool_calls is False
|
|
assert result.error_code is None
|
|
assert result.error is None
|
|
|
|
|
|
@pytest.mark.integration
|
|
class TestModelControllerIntegration:
|
|
"""Integration tests for model controller."""
|
|
|
|
def test_validate_model_endpoint_integration(self, client: TestClient):
|
|
"""Test validate model endpoint through FastAPI test client."""
|
|
request_data = {
|
|
"model_platform": "openai",
|
|
"model_type": "gpt-4o",
|
|
"api_key": "test_key",
|
|
"url": "https://api.openai.com/v1",
|
|
"model_config_dict": {"temperature": 0.7},
|
|
"extra_params": {"max_tokens": 1000},
|
|
}
|
|
|
|
mock_agent = MagicMock()
|
|
mock_response = MagicMock()
|
|
tool_call = MagicMock()
|
|
tool_call.result = (
|
|
"Tool execution completed successfully for https://www.camel-ai.org, Website Content: Welcome to CAMEL AI!"
|
|
)
|
|
mock_response.info = {"tool_calls": [tool_call]}
|
|
mock_agent.step.return_value = mock_response
|
|
|
|
with patch("app.controller.model_controller.create_agent", return_value=mock_agent):
|
|
response = client.post("/model/validate", json=request_data)
|
|
|
|
assert response.status_code == 200
|
|
response_data = response.json()
|
|
assert response_data["is_valid"] is True
|
|
assert response_data["is_tool_calls"] is True
|
|
assert response_data["message"] == "Validation Success"
|
|
|
|
def test_validate_model_endpoint_error_integration(self, client: TestClient):
|
|
"""Test validate model endpoint error handling through FastAPI test client."""
|
|
request_data = {"model_platform": "INVALID", "model_type": "INVALID_MODEL"}
|
|
|
|
with patch("app.controller.model_controller.create_agent", side_effect=Exception("Test error")):
|
|
response = client.post("/model/validate", json=request_data)
|
|
|
|
assert response.status_code == 200 # Returns 200 with error in response body
|
|
response_data = response.json()
|
|
assert response_data["is_valid"] is False
|
|
assert response_data["is_tool_calls"] is False
|
|
assert "Invalid model name" in response_data["message"]
|
|
|
|
|
|
@pytest.mark.model_backend
|
|
class TestModelControllerWithRealModels:
|
|
"""Tests that require real model backends (marked for selective running)."""
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_validate_model_with_real_openai_model(self):
|
|
"""Test model validation with real OpenAI model (requires API key)."""
|
|
# This test would validate against real OpenAI API
|
|
# Marked as model_backend for selective execution
|
|
assert True # Placeholder
|
|
|
|
@pytest.mark.very_slow
|
|
async def test_validate_multiple_model_platforms(self):
|
|
"""Test validation across multiple model platforms (very slow test)."""
|
|
# This test would validate multiple different model platforms
|
|
# Marked as very_slow for execution only in full test mode
|
|
assert True # Placeholder
|
|
|
|
|
|
@pytest.mark.unit
|
|
class TestModelControllerErrorCases:
|
|
"""Test error cases and edge conditions for model controller."""
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_validate_model_with_invalid_json_config(self):
|
|
"""Test model validation with invalid JSON configuration."""
|
|
request_data = ValidateModelRequest(
|
|
model_platform="openai",
|
|
model_type="gpt-4o",
|
|
model_config_dict={"invalid": float("inf")}, # Invalid JSON value
|
|
)
|
|
|
|
with patch("app.controller.model_controller.create_agent", side_effect=ValueError("Invalid configuration")):
|
|
response = await validate_model(request_data)
|
|
|
|
assert response.is_valid is False
|
|
assert "Invalid configuration" in response.message
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_validate_model_with_network_error(self):
|
|
"""Test model validation with network connectivity issues."""
|
|
request_data = ValidateModelRequest(model_platform="openai", model_type="gpt-4o", url="https://invalid-url.com")
|
|
|
|
mock_agent = MagicMock()
|
|
mock_agent.step.side_effect = ConnectionError("Network unreachable")
|
|
|
|
with patch("app.controller.model_controller.create_agent", return_value=mock_agent):
|
|
response = await validate_model(request_data)
|
|
|
|
assert response.is_valid is False
|
|
assert "Network unreachable" in response.message
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_validate_model_with_malformed_tool_calls_response(self):
|
|
"""Test model validation with malformed tool calls in response."""
|
|
request_data = ValidateModelRequest(model_platform="openai", model_type="gpt-4o")
|
|
|
|
mock_agent = MagicMock()
|
|
mock_response = MagicMock()
|
|
mock_response.info = {
|
|
"tool_calls": [] # Empty tool calls
|
|
}
|
|
mock_agent.step.return_value = mock_response
|
|
|
|
with patch("app.controller.model_controller.create_agent", return_value=mock_agent):
|
|
# Should handle empty tool calls gracefully
|
|
result = await validate_model(request_data)
|
|
assert result.is_valid is True # Response exists
|
|
assert result.is_tool_calls is False # No valid tool calls
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_validate_model_with_missing_info_field(self):
|
|
"""Test model validation with missing info field in response."""
|
|
request_data = ValidateModelRequest(model_platform="openai", model_type="gpt-4o")
|
|
|
|
mock_agent = MagicMock()
|
|
mock_response = MagicMock()
|
|
mock_response.info = {} # Missing tool_calls
|
|
mock_agent.step.return_value = mock_response
|
|
|
|
with patch("app.controller.model_controller.create_agent", return_value=mock_agent):
|
|
# Should handle missing tool_calls key gracefully
|
|
result = await validate_model(request_data)
|
|
assert result.is_valid is True # Response exists
|
|
assert result.is_tool_calls is False # No tool_calls key
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_validate_model_empty_api_key(self):
|
|
"""Test model validation with empty API key."""
|
|
request_data = ValidateModelRequest(
|
|
model_platform="openai",
|
|
model_type="gpt-4o",
|
|
api_key="", # Empty API key
|
|
)
|
|
|
|
response = await validate_model(request_data)
|
|
|
|
assert response.is_valid is False
|
|
assert response.is_tool_calls is False
|
|
assert response.message == "Invalid key. Validation failed."
|
|
assert response.error_code == "invalid_api_key"
|
|
assert response.error is not None
|
|
assert response.error["message"] == "Invalid key. Validation failed."
|
|
assert response.error["type"] == "invalid_request_error"
|
|
assert response.error["code"] == "invalid_api_key"
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_validate_model_invalid_model_type(self):
|
|
"""Test model validation with invalid model type."""
|
|
request_data = ValidateModelRequest(
|
|
model_platform="openai", model_type="INVALID_MODEL_TYPE", api_key="test_key"
|
|
)
|
|
|
|
response = await validate_model(request_data)
|
|
assert response.is_valid is False
|
|
assert response.is_tool_calls is False
|
|
assert response.message == "Invalid model name. Validation failed."
|
|
assert response.error_code is not None
|
|
assert "model_not_found" in response.error_code
|
|
assert response.error is not None
|
|
assert response.error["message"] == "Invalid model name. Validation failed."
|
|
assert response.error["type"] == "invalid_request_error"
|
|
assert response.error["code"] == "model_not_found"
|