Enhance o3-pro test coverage with comprehensive codereview testing

- Added o3-pro codereview tests for both direct OpenAI and OpenRouter paths
- Updated validation criteria to account for additional test cases (5 total calls)
- Addresses Gemini Code Assist feedback about incomplete test coverage
- Ensures o3-pro functionality is thoroughly validated across all tools

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Lachlan Donald
2025-06-14 13:51:37 +10:00
parent 69ec38d1af
commit a3aaf6f79b

View File

@@ -143,6 +143,33 @@ class O3ModelSelectionTest(BaseSimulatorTest):
self.logger.info(" ✅ O3-pro model call completed")
# Test 2.6: O3-pro with codereview tool
self.logger.info(" 2.6: Testing O3-pro with codereview tool")
test_code_pro = """def calculate_tax(amount, rate):
return amount * rate
def format_currency(value):
return f"${value:.2f}"
"""
test_file_pro = self.create_additional_test_file("tax_calc.py", test_code_pro)
response2_6, _ = self.call_mcp_tool(
"codereview",
{
"files": [test_file_pro],
"prompt": "Quick review of this tax calculation code",
"model": "o3-pro",
"temperature": 1.0, # O3-pro only supports default temperature of 1.0
},
)
if not response2_6:
self.logger.error(" ❌ O3-pro with codereview tool failed")
return False
self.logger.info(" ✅ O3-pro with codereview tool completed")
# Test 3: Another tool with O3 to ensure it works across tools
self.logger.info(" 3: Testing O3 with different tool (codereview)")
@@ -195,12 +222,12 @@ def multiply(x, y):
line for line in logs.split("\n") if "Sending request to openai API for codereview" in line
]
# Validation criteria - we expect 4 OpenAI calls (3 chat + 1 codereview)
openai_api_called = len(openai_api_logs) >= 4 # Should see 4 OpenAI API calls
openai_model_usage = len(openai_model_logs) >= 4 # Should see 4 model usage logs
openai_responses_received = len(openai_response_logs) >= 4 # Should see 4 responses
# Validation criteria - we expect 5 OpenAI calls (3 chat + 2 codereview)
openai_api_called = len(openai_api_logs) >= 5 # Should see 5 OpenAI API calls
openai_model_usage = len(openai_model_logs) >= 5 # Should see 5 model usage logs
openai_responses_received = len(openai_response_logs) >= 5 # Should see 5 responses
chat_calls_to_openai = len(chat_openai_logs) >= 3 # Should see 3 chat calls (o3 + o3-mini + o3-pro)
codereview_calls_to_openai = len(codereview_openai_logs) >= 1 # Should see 1 codereview call
codereview_calls_to_openai = len(codereview_openai_logs) >= 2 # Should see 2 codereview calls (o3-pro + o3)
self.logger.info(f" OpenAI API call logs: {len(openai_api_logs)}")
self.logger.info(f" OpenAI model usage logs: {len(openai_model_logs)}")
@@ -308,6 +335,33 @@ def multiply(x, y):
self.logger.info(" ✅ O3-pro model call via OpenRouter completed")
# Test 2.6: O3-pro with codereview tool via OpenRouter
self.logger.info(" 2.6: Testing O3-pro with codereview tool via OpenRouter")
test_code_pro_or = """def calculate_discount(price, discount_rate):
return price * (1 - discount_rate)
def validate_price(price):
return price > 0
"""
test_file_pro_or = self.create_additional_test_file("discount_calc.py", test_code_pro_or)
response2_6, _ = self.call_mcp_tool(
"codereview",
{
"files": [test_file_pro_or],
"prompt": "Quick review of this discount calculation code",
"model": "o3-pro",
"temperature": 1.0,
},
)
if not response2_6:
self.logger.error(" ❌ O3-pro with codereview tool via OpenRouter failed")
return False
self.logger.info(" ✅ O3-pro with codereview tool via OpenRouter completed")
# Test 3: Codereview with O3 via OpenRouter
self.logger.info(" 3: Testing O3 with codereview tool via OpenRouter")
@@ -361,8 +415,8 @@ def multiply(x, y):
self.logger.info(f" OpenRouter response logs: {len(openrouter_response_logs)}")
# Success criteria for OpenRouter
openrouter_used = len(openrouter_api_logs) >= 4 or len(openrouter_model_logs) >= 4
all_calls_succeeded = response1 and response2 and response2_5 and response3
openrouter_used = len(openrouter_api_logs) >= 5 or len(openrouter_model_logs) >= 5
all_calls_succeeded = response1 and response2 and response2_5 and response2_6 and response3
success_criteria = [
("All O3 model calls succeeded", all_calls_succeeded),