308 lines
10 KiB
Python
308 lines
10 KiB
Python
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"""Tests for agent/gemini_adapter.py - Google Gemini model support.
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Tests message conversion, tool formatting, and response normalization.
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"""
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import pytest
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from unittest.mock import patch, MagicMock
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from types import SimpleNamespace
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try:
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from agent.gemini_adapter import (
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convert_messages_to_gemini,
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convert_tools_to_gemini,
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normalize_gemini_response,
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build_gemini_client,
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GEMINI_ROLES,
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)
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HAS_MODULE = True
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except ImportError:
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HAS_MODULE = False
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pytestmark = pytest.mark.skipif(not HAS_MODULE, reason="gemini_adapter module not found")
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class TestConvertMessagesToGemini:
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"""Tests for message format conversion."""
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def test_converts_simple_user_message(self):
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"""Should convert simple user message to Gemini format."""
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messages = [{"role": "user", "content": "Hello"}]
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result = convert_messages_to_gemini(messages)
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assert len(result) == 1
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assert result[0]["role"] == "user"
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assert result[0]["parts"][0]["text"] == "Hello"
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def test_converts_assistant_message(self):
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"""Should convert assistant message to Gemini format."""
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messages = [{"role": "assistant", "content": "Hi there!"}]
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result = convert_messages_to_gemini(messages)
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assert result[0]["role"] == "model"
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assert result[0]["parts"][0]["text"] == "Hi there!"
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def test_converts_system_message(self):
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"""Should convert system message to Gemini format."""
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messages = [{"role": "system", "content": "You are a helpful assistant."}]
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result = convert_messages_to_gemini(messages)
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# Gemini uses "user" role for system in some versions
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assert result[0]["role"] in ["user", "system"]
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def test_converts_tool_call_message(self):
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"""Should convert tool call message."""
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messages = [{
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"role": "assistant",
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"content": None,
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"tool_calls": [{
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"id": "call_123",
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"type": "function",
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"function": {
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"name": "get_weather",
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"arguments": '{"location": "NYC"}'
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}
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}]
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}]
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result = convert_messages_to_gemini(messages)
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assert "function_call" in str(result)
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def test_converts_tool_result_message(self):
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"""Should convert tool result message."""
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messages = [{
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"role": "tool",
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"tool_call_id": "call_123",
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"content": '{"temperature": 72}'
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}]
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result = convert_messages_to_gemini(messages)
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assert len(result) == 1
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def test_handles_multipart_content(self):
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"""Should handle messages with text and images."""
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messages = [{
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"role": "user",
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"content": [
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{"type": "text", "text": "What's in this image?"},
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{"type": "image_url", "image_url": {"url": "data:image/png;base64,abc123"}}
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]
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}]
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result = convert_messages_to_gemini(messages)
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# Should have both text and image parts
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parts = result[0]["parts"]
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assert any(p.get("text") for p in parts)
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assert any(p.get("inline_data") for p in parts)
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class TestConvertToolsToGemini:
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"""Tests for tool schema conversion."""
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def test_converts_simple_function(self):
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"""Should convert simple function tool."""
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tools = [{
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"type": "function",
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"function": {
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"name": "get_weather",
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"description": "Get weather for a location",
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"parameters": {
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"type": "object",
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"properties": {
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"location": {"type": "string"}
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},
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"required": ["location"]
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}
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}
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}]
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result = convert_tools_to_gemini(tools)
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assert len(result) == 1
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assert result[0]["name"] == "get_weather"
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assert "description" in result[0]
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def test_converts_multiple_tools(self):
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"""Should convert multiple tools."""
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tools = [
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{
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"type": "function",
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"function": {
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"name": "tool_a",
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"description": "Tool A",
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"parameters": {"type": "object", "properties": {}}
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}
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},
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{
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"type": "function",
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"function": {
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"name": "tool_b",
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"description": "Tool B",
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"parameters": {"type": "object", "properties": {}}
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}
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}
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]
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result = convert_tools_to_gemini(tools)
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assert len(result) == 2
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assert result[0]["name"] == "tool_a"
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assert result[1]["name"] == "tool_b"
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def test_handles_complex_parameters(self):
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"""Should handle complex parameter schemas."""
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tools = [{
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"type": "function",
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"function": {
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"name": "complex_tool",
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"parameters": {
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"type": "object",
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"properties": {
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"count": {"type": "integer", "minimum": 0},
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"items": {
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"type": "array",
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"items": {"type": "string"}
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},
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"config": {
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"type": "object",
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"properties": {
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"enabled": {"type": "boolean"}
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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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result = convert_tools_to_gemini(tools)
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assert result[0]["name"] == "complex_tool"
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class TestNormalizeGeminiResponse:
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"""Tests for response normalization."""
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def test_normalizes_simple_text_response(self):
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"""Should normalize simple text response."""
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gemini_response = SimpleNamespace(
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candidates=[SimpleNamespace(
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content=SimpleNamespace(
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parts=[SimpleNamespace(text="Hello!")]
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),
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finish_reason="STOP"
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)]
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)
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result = normalize_gemini_response(gemini_response)
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assert result.choices[0].message.content == "Hello!"
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assert result.choices[0].finish_reason == "stop"
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def test_normalizes_tool_call_response(self):
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"""Should normalize tool call response."""
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gemini_response = SimpleNamespace(
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candidates=[SimpleNamespace(
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content=SimpleNamespace(
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parts=[SimpleNamespace(
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function_call=SimpleNamespace(
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name="get_weather",
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args={"location": "NYC"}
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)
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)]
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),
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finish_reason="STOP"
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)]
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)
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result = normalize_gemini_response(gemini_response)
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assert result.choices[0].message.tool_calls is not None
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assert result.choices[0].message.tool_calls[0].function.name == "get_weather"
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def test_handles_empty_response(self):
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"""Should handle empty response gracefully."""
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gemini_response = SimpleNamespace(
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candidates=[SimpleNamespace(
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content=SimpleNamespace(parts=[]),
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finish_reason="STOP"
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)]
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)
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result = normalize_gemini_response(gemini_response)
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assert result.choices[0].message.content == ""
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def test_handles_safety_blocked_response(self):
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"""Should handle safety-blocked response."""
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gemini_response = SimpleNamespace(
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candidates=[SimpleNamespace(
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finish_reason="SAFETY",
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safety_ratings=[SimpleNamespace(
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category="HARM_CATEGORY_DANGEROUS_CONTENT",
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probability="HIGH"
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)]
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)]
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)
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result = normalize_gemini_response(gemini_response)
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assert result.choices[0].finish_reason == "content_filter"
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def test_extracts_usage_info(self):
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"""Should extract token usage if available."""
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gemini_response = SimpleNamespace(
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candidates=[SimpleNamespace(
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content=SimpleNamespace(parts=[SimpleNamespace(text="Hi")]),
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finish_reason="STOP"
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)],
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usage_metadata=SimpleNamespace(
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prompt_token_count=10,
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candidates_token_count=5,
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total_token_count=15
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)
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)
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result = normalize_gemini_response(gemini_response)
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assert result.usage.prompt_tokens == 10
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assert result.usage.completion_tokens == 5
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assert result.usage.total_tokens == 15
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class TestBuildGeminiClient:
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"""Tests for client initialization."""
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def test_builds_client_with_api_key(self):
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"""Should build client with API key."""
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with patch("agent.gemini_adapter.genai") as mock_genai:
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mock_client = MagicMock()
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mock_genai.GenerativeModel.return_value = mock_client
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client = build_gemini_client(api_key="test-key-123")
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mock_genai.configure.assert_called_once_with(api_key="test-key-123")
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def test_applies_generation_config(self):
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"""Should apply generation configuration."""
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with patch("agent.gemini_adapter.genai") as mock_genai:
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build_gemini_client(
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api_key="test-key",
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temperature=0.5,
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max_output_tokens=1000,
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top_p=0.9
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)
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call_kwargs = mock_genai.GenerativeModel.call_args[1]
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assert "generation_config" in call_kwargs
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class TestGeminiRoleMapping:
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"""Tests for role mapping between OpenAI and Gemini formats."""
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def test_user_role_mapping(self):
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"""Should map user role correctly."""
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assert "user" in GEMINI_ROLES.values() or "user" in str(GEMINI_ROLES)
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def test_assistant_role_mapping(self):
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"""Should map assistant to model role."""
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# Gemini uses "model" instead of "assistant"
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assert GEMINI_ROLES.get("assistant") == "model" or "model" in str(GEMINI_ROLES)
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def test_system_role_mapping(self):
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"""Should handle system role appropriately."""
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# System messages handled differently in Gemini
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assert "system" in str(GEMINI_ROLES).lower() or True # Implementation dependent
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