File size: 14,494 Bytes
ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 51ba917 17905e6 ca7a2c2 51ba917 17905e6 ca7a2c2 17905e6 51ba917 17905e6 ca7a2c2 17905e6 0140f42 17905e6 0140f42 17905e6 0140f42 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 17905e6 ca7a2c2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 |
"""
LocalMate Agent Test Script - Comprehensive Tool Coverage
Tests 5 queries covering ALL tools in both modes:
1. Greeting (no tools) - tests greeting detection
2. Text search (retrieve_context_text)
3. Location search (find_nearby_places)
4. Social search (search_social_media)
5. Complex query (multiple tools in ReAct mode)
Run: python tests/test_react_comparison.py
"""
import asyncio
import json
import time
from datetime import datetime
import httpx
# =============================================================================
# CONFIGURATION
# =============================================================================
# API Settings - Use localhost for local testing
# API_BASE = "https://cuong2004-localmate.hf.space/api/v1"
API_BASE = "http://localhost:8000/api/v1"
USER_ID = "test_comprehensive"
# Delay Settings (in seconds)
SINGLE_MODE_DELAY = 20 # Delay between queries in single mode
REACT_MODE_DELAY = 60 # Delay between queries in ReAct mode
MODE_SWITCH_DELAY = 60 # Delay between switching modes
REQUEST_TIMEOUT = 60 # Timeout for each API request
# Provider settings
# PROVIDER = "MegaLLM"
# MODEL = "deepseek-ai/deepseek-v3.1-terminus"
PROVIDER = "Google"
# MODEL = "gemini-3-flash-preview"
MODEL = "gemini-2.5-flash"
# =============================================================================
# 5 TEST CASES - Covering ALL tools
# =============================================================================
TEST_CASES = [
{
"id": 1,
"query": "xin chào",
"description": "Greeting - No tools expected",
"expected_tools": [],
"tool_coverage": "No tools (greeting detection)",
},
{
"id": 2,
"query": "Quán cafe view đẹp ở Đà Nẵng",
"description": "Text search - Semantic search in reviews",
"expected_tools": ["retrieve_context_text"],
"tool_coverage": "retrieve_context_text",
},
{
"id": 3,
"query": "Nhà hàng gần Cầu Rồng",
"description": "Location search - Neo4j spatial query",
"expected_tools": ["find_nearby_places"],
"tool_coverage": "find_nearby_places",
},
{
"id": 4,
"query": "Review quán ăn hot trên tiktok Đà Nẵng",
"description": "Social search - Brave API news/trends",
"expected_tools": ["search_social_media"],
"tool_coverage": "search_social_media",
},
{
"id": 5,
"query": "Quán cafe không gian đẹp gần biển Mỹ Khê có review tốt",
"description": "Complex query - Multiple tools (ReAct advantage)",
"expected_tools": ["find_nearby_places", "retrieve_context_text"],
"tool_coverage": "Multiple tools",
},
]
async def run_test(client: httpx.AsyncClient, test_case: dict, react_mode: bool) -> dict:
"""Run a single test case and return results."""
start_time = time.time()
try:
response = await client.post(
f"{API_BASE}/chat",
json={
"message": test_case["query"],
"user_id": USER_ID,
"provider": PROVIDER,
"model": MODEL,
"react_mode": react_mode,
"max_steps": 5,
},
timeout=float(REQUEST_TIMEOUT),
)
duration = (time.time() - start_time) * 1000
if response.status_code == 200:
data = response.json()
return {
"success": True,
"test_id": test_case["id"],
"query": test_case["query"],
"description": test_case["description"],
"tool_coverage": test_case["tool_coverage"],
"expected_tools": test_case["expected_tools"],
"react_mode": react_mode,
"response": data.get("response", "")[:300],
"workflow": data.get("workflow", {}),
"tools_used": data.get("tools_used", []),
"places_count": len(data.get("places", [])),
"api_duration_ms": data.get("duration_ms", 0),
"total_duration_ms": duration,
}
else:
return {
"success": False,
"test_id": test_case["id"],
"query": test_case["query"],
"react_mode": react_mode,
"error": f"HTTP {response.status_code}: {response.text[:200]}",
"total_duration_ms": duration,
}
except Exception as e:
return {
"success": False,
"test_id": test_case["id"],
"query": test_case["query"],
"react_mode": react_mode,
"error": str(e),
"total_duration_ms": (time.time() - start_time) * 1000,
}
def check_tool_match(expected: list, actual: list) -> str:
"""Check if expected tools match actual tools used."""
if not expected and not actual:
return "✅ Match"
if set(expected) == set(actual):
return "✅ Match"
if set(expected).issubset(set(actual)):
return "⚠️ Extra tools"
if any(t in actual for t in expected):
return "⚠️ Partial"
return "❌ Mismatch"
def generate_report(single_results: list, react_results: list) -> str:
"""Generate detailed markdown report."""
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
# Calculate stats
single_success = sum(1 for r in single_results if r.get('success'))
react_success = sum(1 for r in react_results if r.get('success'))
single_avg = sum(r.get('api_duration_ms', 0) for r in single_results if r.get('success')) / max(1, single_success)
react_avg = sum(r.get('api_duration_ms', 0) for r in react_results if r.get('success')) / max(1, react_success)
# Collect all unique tools used
all_tools_single = set()
all_tools_react = set()
for r in single_results:
if r.get('success'):
all_tools_single.update(r.get('tools_used', []))
for r in react_results:
if r.get('success'):
all_tools_react.update(r.get('tools_used', []))
report = f"""# LocalMate Agent Comprehensive Test Report
**Generated:** {timestamp}
**Provider:** {PROVIDER}
**Model:** {MODEL}
---
## Summary
| Metric | Single Mode | ReAct Mode |
|--------|:-----------:|:----------:|
| Success Rate | {single_success}/{len(single_results)} | {react_success}/{len(react_results)} |
| Avg Duration | {single_avg:.0f}ms | {react_avg:.0f}ms |
| Unique Tools | {len(all_tools_single)} | {len(all_tools_react)} |
### Tools Covered
| Tool | Single Mode | ReAct Mode |
|------|:-----------:|:----------:|
| `retrieve_context_text` | {"✅" if "retrieve_context_text" in all_tools_single else "❌"} | {"✅" if "retrieve_context_text" in all_tools_react else "❌"} |
| `find_nearby_places` | {"✅" if "find_nearby_places" in all_tools_single else "❌"} | {"✅" if "find_nearby_places" in all_tools_react else "❌"} |
| `search_social_media` | {"✅" if "search_social_media" in all_tools_single else "❌"} | {"✅" if "search_social_media" in all_tools_react else "❌"} |
| No tools (greeting) | {"✅" if any(not r.get('tools_used') for r in single_results if r.get('success')) else "❌"} | {"✅" if any(not r.get('tools_used') for r in react_results if r.get('success')) else "❌"} |
---
## Test Results
| ID | Description | Single Tools | ReAct Tools | Match |
|----|-------------|--------------|-------------|-------|
"""
for single, react in zip(single_results, react_results):
test_id = single.get("test_id", "?")
desc = single.get("description", "")[:30]
expected = single.get("expected_tools", [])
if single.get("success"):
single_tools = ", ".join(single.get("tools_used", [])) or "∅ (none)"
single_match = check_tool_match(expected, single.get("tools_used", []))
else:
single_tools = "❌ Error"
single_match = "❌"
if react.get("success"):
react_tools = ", ".join(react.get("tools_used", [])) or "∅ (none)"
react_match = check_tool_match(expected, react.get("tools_used", []))
else:
react_tools = "❌ Error"
react_match = "❌"
report += f"| {test_id} | {desc} | {single_tools} | {react_tools} | {single_match}/{react_match} |\n"
report += "\n---\n\n## Detailed Results\n\n"
for i, (single, react) in enumerate(zip(single_results, react_results)):
test_id = single.get("test_id", i + 1)
query = single.get("query", "N/A")
description = single.get("description", "")
coverage = single.get("tool_coverage", "")
report += f"""### Test {test_id}: {description}
**Query:** `{query}`
**Expected Tools:** {coverage}
| Mode | Status | Duration | Tools Used | Places |
|------|--------|----------|------------|--------|
"""
if single.get("success"):
s_tools = ", ".join(single.get("tools_used", [])) or "None"
report += f"| Single | ✅ | {single.get('api_duration_ms', 0):.0f}ms | {s_tools} | {single.get('places_count', 0)} |\n"
else:
report += f"| Single | ❌ | - | Error: {single.get('error', 'Unknown')[:50]} | - |\n"
if react.get("success"):
r_tools = ", ".join(react.get("tools_used", [])) or "None"
report += f"| ReAct | ✅ | {react.get('api_duration_ms', 0):.0f}ms | {r_tools} | {react.get('places_count', 0)} |\n"
else:
report += f"| ReAct | ❌ | - | Error: {react.get('error', 'Unknown')[:50]} | - |\n"
report += "\n"
# Show response preview for successful tests
if single.get("success"):
report += f"**Single Response:** {single.get('response', '')[:150]}...\n\n"
if react.get("success"):
report += f"**ReAct Response:** {react.get('response', '')[:150]}...\n\n"
report += "---\n\n"
# Overall verdict
all_tools_expected = {"retrieve_context_text", "find_nearby_places", "search_social_media"}
single_coverage = all_tools_expected.issubset(all_tools_single)
react_coverage = all_tools_expected.issubset(all_tools_react)
report += f"""## Verdict
| Criteria | Single Mode | ReAct Mode |
|----------|:-----------:|:----------:|
| All tests passed | {"✅" if single_success == len(single_results) else "❌"} | {"✅" if react_success == len(react_results) else "❌"} |
| All 3 search tools covered | {"✅" if single_coverage else "❌"} | {"✅" if react_coverage else "❌"} |
| Greeting detection works | {"✅" if any(not r.get('tools_used') and r.get('success') for r in single_results) else "❌"} | {"✅" if any(not r.get('tools_used') and r.get('success') for r in react_results) else "❌"} |
**Overall:** {"🎉 ALL TESTS PASSED!" if single_success == len(single_results) and react_success == len(react_results) else "⚠️ Some tests failed"}
"""
return report
async def main():
"""Main test runner."""
print("=" * 60)
print("LocalMate Agent Comprehensive Test")
print(f"Provider: {PROVIDER} | Model: {MODEL}")
print("=" * 60)
print()
single_results = []
react_results = []
async with httpx.AsyncClient() as client:
# Test Single Mode (react_mode=False)
print(f"📌 Running Single Mode Tests (react_mode=false, {SINGLE_MODE_DELAY}s delay)...")
print("-" * 50)
for i, test in enumerate(TEST_CASES):
print(f" [{test['id']}/5] {test['description'][:40]}...")
result = await run_test(client, test, react_mode=False)
single_results.append(result)
status = "✅" if result.get("success") else "❌"
tools = ", ".join(result.get("tools_used", [])) or "None"
places = result.get("places_count", 0)
print(f" {status} Tools: [{tools}] | Places: {places} | {result.get('api_duration_ms', 0):.0f}ms")
if i < len(TEST_CASES) - 1:
await asyncio.sleep(SINGLE_MODE_DELAY)
print()
print(f"⏸️ Waiting {MODE_SWITCH_DELAY}s before ReAct mode...")
await asyncio.sleep(MODE_SWITCH_DELAY)
# Test ReAct Mode (react_mode=True)
print()
print(f"🧠 Running ReAct Mode Tests (react_mode=true, {REACT_MODE_DELAY}s delay)...")
print("-" * 50)
for i, test in enumerate(TEST_CASES):
print(f" [{test['id']}/5] {test['description'][:40]}...")
result = await run_test(client, test, react_mode=True)
react_results.append(result)
status = "✅" if result.get("success") else "❌"
tools = ", ".join(result.get("tools_used", [])) or "None"
places = result.get("places_count", 0)
steps = len(result.get("workflow", {}).get("steps", []))
print(f" {status} Tools: [{tools}] | Places: {places} | Steps: {steps} | {result.get('api_duration_ms', 0):.0f}ms")
if i < len(TEST_CASES) - 1:
await asyncio.sleep(REACT_MODE_DELAY)
# Generate report
print()
print("📝 Generating report...")
report = generate_report(single_results, react_results)
# Save report
import os
script_dir = os.path.dirname(os.path.abspath(__file__))
report_path = os.path.join(script_dir, "react_comparison_report.md")
with open(report_path, "w", encoding="utf-8") as f:
f.write(report)
print(f"✅ Report saved to: {report_path}")
print()
# Quick summary
single_success = sum(1 for r in single_results if r.get('success'))
react_success = sum(1 for r in react_results if r.get('success'))
print("=" * 60)
print("SUMMARY")
print("=" * 60)
print(f"Single Mode: {single_success}/{len(single_results)} passed")
print(f"ReAct Mode: {react_success}/{len(react_results)} passed")
print()
if single_success == len(single_results) and react_success == len(react_results):
print("🎉 ALL TESTS PASSED!")
else:
print("⚠️ Some tests failed - check report for details")
if __name__ == "__main__":
asyncio.run(main())
|