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"""
Atlas Functionality Test Suite
Tests the chat endpoint and search decision waterfall logic
"""
import asyncio
import json
import requests
from typing import Dict, Any, Optional, List
import time
# Test configuration
BASE_URL = "http://localhost:7860"
CHAT_ENDPOINT = f"{BASE_URL}/chat"
HEALTH_ENDPOINT = f"{BASE_URL}/"
class AtlasTestSuite:
def __init__(self):
self.results = []
self.session_id = None
def log_result(self, test_name: str, success: bool, details: str = "", response_data: Dict = None):
"""Log test result"""
result = {
"test": test_name,
"success": success,
"details": details,
"timestamp": time.time()
}
if response_data:
result["response_data"] = response_data
self.results.append(result)
status = "✅ PASS" if success else "❌ FAIL"
print(f"{status} {test_name}: {details}")
def test_health_endpoint(self) -> bool:
"""Test the health endpoint"""
try:
response = requests.get(HEALTH_ENDPOINT, timeout=10)
if response.status_code == 200:
data = response.json()
self.log_result("Health Check", True, "Server responding correctly", data)
return True
else:
self.log_result("Health Check", False, f"Status code: {response.status_code}")
return False
except Exception as e:
self.log_result("Health Check", False, f"Exception: {str(e)}")
return False
def test_anonymous_chat_no_search(self) -> bool:
"""Test anonymous chat request without search"""
try:
payload = {
"prompt": "Hello, how are you?",
"max_new_tokens": 100,
"use_search": False,
"temperature": 0.7
}
response = requests.post(CHAT_ENDPOINT, json=payload, timeout=30)
if response.status_code == 200:
data = response.json()
# Check response structure
if "response" in data and len(data["response"]) > 0:
# Store session ID for follow-up tests
self.session_id = response.headers.get("X-Session-ID")
self.log_result("Anonymous Chat (No Search)", True,
f"Response length: {len(data['response'])} chars, Session: {self.session_id}",
data)
return True
else:
self.log_result("Anonymous Chat (No Search)", False, "Empty or missing response")
return False
else:
self.log_result("Anonymous Chat (No Search)", False, f"Status: {response.status_code}")
return False
except Exception as e:
self.log_result("Anonymous Chat (No Search)", False, f"Exception: {str(e)}")
return False
def test_anonymous_chat_with_search(self) -> bool:
"""Test anonymous chat request with search enabled"""
try:
payload = {
"prompt": "What is artificial intelligence?",
"max_new_tokens": 150,
"use_search": True,
"temperature": 0.7
}
response = requests.post(CHAT_ENDPOINT, json=payload, timeout=45)
if response.status_code == 200:
data = response.json()
# Check response structure
has_response = "response" in data and len(data["response"]) > 0
has_search_decision = "search_decision" in data
has_cache_info = "cache_info" in data
details = f"Response: {has_response}, Decision: {has_search_decision}, Cache: {has_cache_info}"
if has_response:
self.log_result("Anonymous Chat (With Search)", True, details, data)
return True
else:
self.log_result("Anonymous Chat (With Search)", False, "Missing response")
return False
else:
self.log_result("Anonymous Chat (With Search)", False, f"Status: {response.status_code}")
return False
except Exception as e:
self.log_result("Anonymous Chat (With Search)", False, f"Exception: {str(e)}")
return False
def test_authenticated_chat(self) -> bool:
"""Test authenticated chat request"""
try:
payload = {
"prompt": "Hello, I'm a test user. Can you help me?",
"max_new_tokens": 100,
"use_search": False,
"temperature": 0.7,
"user_id": "test_user_001"
}
response = requests.post(CHAT_ENDPOINT, json=payload, timeout=30)
if response.status_code == 200:
data = response.json()
if "response" in data and len(data["response"]) > 0:
self.log_result("Authenticated Chat", True,
f"Response length: {len(data['response'])} chars", data)
return True
else:
self.log_result("Authenticated Chat", False, "Empty or missing response")
return False
else:
self.log_result("Authenticated Chat", False, f"Status: {response.status_code}")
return False
except Exception as e:
self.log_result("Authenticated Chat", False, f"Exception: {str(e)}")
return False
def test_conversation_follow_up(self) -> bool:
"""Test conversation follow-up to check search decision waterfall"""
if not self.session_id:
self.log_result("Conversation Follow-up", False, "No session ID available")
return False
try:
# First establish conversation history
payload1 = {
"prompt": "What is machine learning?",
"max_new_tokens": 100,
"use_search": True,
"temperature": 0.7
}
headers = {"X-Session-ID": self.session_id}
response1 = requests.post(CHAT_ENDPOINT, json=payload1, headers=headers, timeout=45)
if response1.status_code != 200:
self.log_result("Conversation Follow-up", False, f"First request failed: {response1.status_code}")
return False
# Now test follow-up question (should trigger different search logic)
payload2 = {
"prompt": "Can you tell me more about that?",
"max_new_tokens": 100,
"use_search": True,
"temperature": 0.7,
"history": [
{"role": "user", "content": "What is machine learning?"},
{"role": "assistant", "content": response1.json()["response"][:200]}
]
}
response2 = requests.post(CHAT_ENDPOINT, json=payload2, headers=headers, timeout=45)
if response2.status_code == 200:
data = response2.json()
has_search_decision = "search_decision" in data
decision_info = ""
if has_search_decision:
decision = data["search_decision"]
decision_info = f"Should search: {decision.get('should_search')}, " \
f"Confidence: {decision.get('confidence')}, " \
f"Flow: {decision.get('flow_type', 'unknown')}"
self.log_result("Conversation Follow-up", True,
f"Follow-up successful. {decision_info}", data)
return True
else:
self.log_result("Conversation Follow-up", False, f"Status: {response2.status_code}")
return False
except Exception as e:
self.log_result("Conversation Follow-up", False, f"Exception: {str(e)}")
return False
def test_search_decision_patterns(self) -> bool:
"""Test different search decision patterns"""
test_cases = [
{
"name": "Elaboration Request",
"prompt": "Tell me more about that",
"history": [{"role": "assistant", "content": "AI is a field of computer science."}],
"expected_search": False
},
{
"name": "New Information Request",
"prompt": "What is the latest news about AI?",
"history": [],
"expected_search": True
},
{
"name": "Clarification Request",
"prompt": "What do you mean by that?",
"history": [{"role": "assistant", "content": "Machine learning uses algorithms."}],
"expected_search": False
}
]
success_count = 0
for case in test_cases:
try:
payload = {
"prompt": case["prompt"],
"max_new_tokens": 50,
"use_search": True,
"temperature": 0.7,
"history": case.get("history", [])
}
response = requests.post(CHAT_ENDPOINT, json=payload, timeout=30)
if response.status_code == 200:
data = response.json()
if "search_decision" in data:
actual_search = data["search_decision"].get("should_search")
expected = case["expected_search"]
if actual_search == expected:
self.log_result(f"Search Pattern: {case['name']}", True,
f"Correctly decided {'to search' if actual_search else 'not to search'}")
success_count += 1
else:
self.log_result(f"Search Pattern: {case['name']}", False,
f"Expected {expected}, got {actual_search}")
else:
self.log_result(f"Search Pattern: {case['name']}", False, "No search decision in response")
else:
self.log_result(f"Search Pattern: {case['name']}", False, f"Status: {response.status_code}")
except Exception as e:
self.log_result(f"Search Pattern: {case['name']}", False, f"Exception: {str(e)}")
return success_count == len(test_cases)
def test_force_search_parameter(self) -> bool:
"""Test force_search parameter override"""
try:
payload = {
"prompt": "Tell me more", # Would normally not search
"max_new_tokens": 50,
"use_search": True,
"force_search": True, # Should override decision
"temperature": 0.7,
"history": [{"role": "assistant", "content": "Here's some information about AI."}]
}
response = requests.post(CHAT_ENDPOINT, json=payload, timeout=30)
if response.status_code == 200:
data = response.json()
if "search_decision" in data:
decision = data["search_decision"]
if decision.get("should_search") and "forced" in decision.get("reason", "").lower():
self.log_result("Force Search Override", True, "Force search parameter worked correctly")
return True
else:
self.log_result("Force Search Override", False, "Force search not detected in decision")
return False
else:
self.log_result("Force Search Override", False, "No search decision in response")
return False
else:
self.log_result("Force Search Override", False, f"Status: {response.status_code}")
return False
except Exception as e:
self.log_result("Force Search Override", False, f"Exception: {str(e)}")
return False
def run_all_tests(self):
"""Run all tests and print summary"""
print("🚀 Starting Atlas Functionality Tests")
print("=" * 50)
test_methods = [
self.test_health_endpoint,
self.test_anonymous_chat_no_search,
self.test_anonymous_chat_with_search,
self.test_authenticated_chat,
self.test_conversation_follow_up,
self.test_search_decision_patterns,
self.test_force_search_parameter
]
passed = 0
total = len(test_methods)
for test_method in test_methods:
try:
if test_method():
passed += 1
time.sleep(1) # Brief pause between tests
except Exception as e:
print(f"❌ Test {test_method.__name__} crashed: {str(e)}")
print("\n" + "=" * 50)
print(f"📊 Test Summary: {passed}/{total} tests passed")
if passed == total:
print("🎉 All tests passed! Atlas is functioning correctly.")
else:
print(f"⚠️ {total - passed} tests failed. Check the details above.")
return passed == total
if __name__ == "__main__":
tester = AtlasTestSuite()
success = tester.run_all_tests()
# Save detailed results
with open("test_results.json", "w") as f:
json.dump(tester.results, f, indent=2)
print(f"\n📄 Detailed results saved to test_results.json")
exit(0 if success else 1) |