feat(docker): implement smart browser pool with 10x memory efficiency
Major refactoring to eliminate memory leaks and enable high-scale crawling: - **Smart 3-Tier Browser Pool**: - Permanent browser (always-ready default config) - Hot pool (configs used 3+ times, longer TTL) - Cold pool (new/rare configs, short TTL) - Auto-promotion: cold → hot after 3 uses - 100% pool reuse achieved in tests - **Container-Aware Memory Detection**: - Read cgroup v1/v2 memory limits (not host metrics) - Accurate memory pressure detection in Docker - Memory-based browser creation blocking - **Adaptive Janitor**: - Dynamic cleanup intervals (10s/30s/60s based on memory) - Tiered TTLs: cold 30-300s, hot 120-600s - Aggressive cleanup at high memory pressure - **Unified Pool Usage**: - All endpoints now use pool (/html, /screenshot, /pdf, /execute_js, /md, /llm) - Fixed config signature mismatch (permanent browser matches endpoints) - get_default_browser_config() helper for consistency - **Configuration**: - Reduced idle_ttl: 1800s → 300s (30min → 5min) - Fixed port: 11234 → 11235 (match Gunicorn) **Performance Results** (from stress tests): - Memory: 10x reduction (500-700MB × N → 270MB permanent) - Latency: 30-50x faster (<100ms pool hits vs 3-5s startup) - Reuse: 100% for default config, 60%+ for variants - Capacity: 100+ concurrent requests (vs ~20 before) - Leak: 0 MB/cycle (stable across tests) **Test Infrastructure**: - 7-phase sequential test suite (tests/) - Docker stats integration + log analysis - Pool promotion verification - Memory leak detection - Full endpoint coverage Fixes memory issues reported in production deployments.
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267
deploy/docker/tests/test_5_pool_stress.py
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267
deploy/docker/tests/test_5_pool_stress.py
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#!/usr/bin/env python3
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"""
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Test 5: Pool Stress - Mixed Configs
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- Tests hot/cold pool with different browser configs
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- Uses different viewports to create config variants
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- Validates cold → hot promotion after 3 uses
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- Monitors pool tier distribution
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"""
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import asyncio
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import time
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import docker
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import httpx
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from threading import Thread, Event
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import random
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# Config
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IMAGE = "crawl4ai-local:latest"
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CONTAINER_NAME = "crawl4ai-test"
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PORT = 11235
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REQUESTS_PER_CONFIG = 5 # 5 requests per config variant
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# Different viewport configs to test pool tiers
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VIEWPORT_CONFIGS = [
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None, # Default (permanent browser)
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{"width": 1920, "height": 1080}, # Desktop
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{"width": 1024, "height": 768}, # Tablet
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{"width": 375, "height": 667}, # Mobile
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]
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# Stats
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stats_history = []
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stop_monitoring = Event()
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def monitor_stats(container):
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"""Background stats collector."""
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for stat in container.stats(decode=True, stream=True):
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if stop_monitoring.is_set():
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break
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try:
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mem_usage = stat['memory_stats'].get('usage', 0) / (1024 * 1024)
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stats_history.append({'timestamp': time.time(), 'memory_mb': mem_usage})
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except:
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pass
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time.sleep(0.5)
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def analyze_pool_logs(container):
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"""Extract detailed pool stats from logs."""
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logs = container.logs().decode('utf-8')
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permanent = logs.count("🔥 Using permanent browser")
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hot = logs.count("♨️ Using hot pool browser")
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cold = logs.count("❄️ Using cold pool browser")
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new = logs.count("🆕 Creating new browser")
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promotions = logs.count("⬆️ Promoting to hot pool")
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return {
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'permanent': permanent,
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'hot': hot,
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'cold': cold,
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'new': new,
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'promotions': promotions,
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'total': permanent + hot + cold
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}
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async def crawl_with_viewport(client, url, viewport):
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"""Single request with specific viewport."""
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payload = {
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"urls": ["https://httpbin.org/html"],
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"browser_config": {},
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"crawler_config": {}
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}
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# Add viewport if specified
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if viewport:
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payload["browser_config"] = {
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"type": "BrowserConfig",
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"params": {
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"viewport": {"type": "dict", "value": viewport},
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"headless": True,
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"text_mode": True,
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"extra_args": [
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"--no-sandbox",
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"--disable-dev-shm-usage",
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"--disable-gpu",
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"--disable-software-rasterizer",
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"--disable-web-security",
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"--allow-insecure-localhost",
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"--ignore-certificate-errors"
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]
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}
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}
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start = time.time()
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try:
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resp = await client.post(url, json=payload, timeout=60.0)
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elapsed = (time.time() - start) * 1000
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return {"success": resp.status_code == 200, "latency_ms": elapsed, "viewport": viewport}
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except Exception as e:
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return {"success": False, "error": str(e), "viewport": viewport}
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def start_container(client, image, name, port):
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"""Start container."""
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try:
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old = client.containers.get(name)
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print(f"🧹 Stopping existing container...")
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old.stop()
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old.remove()
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except docker.errors.NotFound:
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pass
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print(f"🚀 Starting container...")
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container = client.containers.run(
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image, name=name, ports={f"{port}/tcp": port},
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detach=True, shm_size="1g", mem_limit="4g",
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)
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print(f"⏳ Waiting for health...")
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for _ in range(30):
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time.sleep(1)
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container.reload()
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if container.status == "running":
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try:
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import requests
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if requests.get(f"http://localhost:{port}/health", timeout=2).status_code == 200:
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print(f"✅ Container healthy!")
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return container
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except:
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pass
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raise TimeoutError("Container failed to start")
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async def main():
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print("="*60)
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print("TEST 5: Pool Stress - Mixed Configs")
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print("="*60)
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client = docker.from_env()
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container = None
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monitor_thread = None
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try:
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container = start_container(client, IMAGE, CONTAINER_NAME, PORT)
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print(f"\n⏳ Waiting for permanent browser init (3s)...")
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await asyncio.sleep(3)
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# Start monitoring
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stop_monitoring.clear()
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stats_history.clear()
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monitor_thread = Thread(target=monitor_stats, args=(container,), daemon=True)
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monitor_thread.start()
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await asyncio.sleep(1)
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baseline_mem = stats_history[-1]['memory_mb'] if stats_history else 0
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print(f"📏 Baseline: {baseline_mem:.1f} MB\n")
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url = f"http://localhost:{PORT}/crawl"
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print(f"Testing {len(VIEWPORT_CONFIGS)} different configs:")
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for i, vp in enumerate(VIEWPORT_CONFIGS):
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vp_str = "Default" if vp is None else f"{vp['width']}x{vp['height']}"
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print(f" {i+1}. {vp_str}")
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print()
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# Run requests: repeat each config REQUESTS_PER_CONFIG times
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all_results = []
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config_sequence = []
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for _ in range(REQUESTS_PER_CONFIG):
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for viewport in VIEWPORT_CONFIGS:
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config_sequence.append(viewport)
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# Shuffle to mix configs
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random.shuffle(config_sequence)
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print(f"🔄 Running {len(config_sequence)} requests with mixed configs...")
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async with httpx.AsyncClient() as http_client:
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for i, viewport in enumerate(config_sequence):
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result = await crawl_with_viewport(http_client, url, viewport)
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all_results.append(result)
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if (i + 1) % 5 == 0:
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vp_str = "default" if result['viewport'] is None else f"{result['viewport']['width']}x{result['viewport']['height']}"
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status = "✓" if result.get('success') else "✗"
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lat = f"{result.get('latency_ms', 0):.0f}ms" if 'latency_ms' in result else "error"
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print(f" [{i+1}/{len(config_sequence)}] {status} {vp_str} - {lat}")
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# Stop monitoring
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await asyncio.sleep(2)
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stop_monitoring.set()
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if monitor_thread:
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monitor_thread.join(timeout=2)
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# Analyze results
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pool_stats = analyze_pool_logs(container)
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successes = sum(1 for r in all_results if r.get("success"))
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success_rate = (successes / len(all_results)) * 100
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latencies = [r["latency_ms"] for r in all_results if "latency_ms" in r]
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avg_lat = sum(latencies) / len(latencies) if latencies else 0
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memory_samples = [s['memory_mb'] for s in stats_history]
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peak_mem = max(memory_samples) if memory_samples else 0
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final_mem = memory_samples[-1] if memory_samples else 0
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print(f"\n{'='*60}")
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print(f"RESULTS:")
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print(f"{'='*60}")
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print(f" Requests: {len(all_results)}")
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print(f" Success Rate: {success_rate:.1f}% ({successes}/{len(all_results)})")
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print(f" Avg Latency: {avg_lat:.0f}ms")
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print(f"\n Pool Statistics:")
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print(f" 🔥 Permanent: {pool_stats['permanent']}")
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print(f" ♨️ Hot: {pool_stats['hot']}")
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print(f" ❄️ Cold: {pool_stats['cold']}")
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print(f" 🆕 New: {pool_stats['new']}")
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print(f" ⬆️ Promotions: {pool_stats['promotions']}")
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print(f" 📊 Reuse: {(pool_stats['total'] / len(all_results) * 100):.1f}%")
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print(f"\n Memory:")
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print(f" Baseline: {baseline_mem:.1f} MB")
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print(f" Peak: {peak_mem:.1f} MB")
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print(f" Final: {final_mem:.1f} MB")
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print(f" Delta: {final_mem - baseline_mem:+.1f} MB")
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print(f"{'='*60}")
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# Pass/Fail
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passed = True
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if success_rate < 99:
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print(f"❌ FAIL: Success rate {success_rate:.1f}% < 99%")
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passed = False
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# Should see promotions since we repeat each config 5 times
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if pool_stats['promotions'] < (len(VIEWPORT_CONFIGS) - 1): # -1 for default
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print(f"⚠️ WARNING: Only {pool_stats['promotions']} promotions (expected ~{len(VIEWPORT_CONFIGS)-1})")
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# Should have created some browsers for different configs
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if pool_stats['new'] == 0:
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print(f"⚠️ NOTE: No new browsers created (all used default?)")
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if pool_stats['permanent'] == len(all_results):
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print(f"⚠️ NOTE: All requests used permanent browser (configs not varying enough?)")
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if final_mem - baseline_mem > 500:
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print(f"⚠️ WARNING: Memory grew {final_mem - baseline_mem:.1f} MB")
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if passed:
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print(f"✅ TEST PASSED")
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return 0
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else:
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return 1
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except Exception as e:
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print(f"\n❌ TEST ERROR: {e}")
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import traceback
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traceback.print_exc()
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return 1
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finally:
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stop_monitoring.set()
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if container:
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print(f"🛑 Stopping container...")
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container.stop()
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container.remove()
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if __name__ == "__main__":
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exit_code = asyncio.run(main())
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exit(exit_code)
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