921e0c46b6
Add comprehensive stress testing solution for SDK using arun_many and dispatcher system: - Create test_stress_sdk.py for running high volume crawl tests - Add run_benchmark.py for orchestrating tests with predefined configs - Implement benchmark_report.py for generating performance reports - Add memory tracking and local test site generation - Support both streaming and batch processing modes - Add detailed documentation in README.md The framework enables testing SDK performance, concurrency handling, and memory behavior under high-volume scenarios.
500 lines
28 KiB
Python
500 lines
28 KiB
Python
#!/usr/bin/env python3
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"""
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Stress test for Crawl4AI's arun_many and dispatcher system.
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This version uses a local HTTP server and focuses on testing
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the SDK's ability to handle multiple URLs concurrently, with per-batch logging.
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"""
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import asyncio
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import os
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import time
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import pathlib
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import random
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import secrets
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import argparse
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import json
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import sys
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import subprocess
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import signal
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from typing import List, Dict, Optional, Union, AsyncGenerator
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import shutil
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from rich.console import Console
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# Crawl4AI components
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from crawl4ai import (
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AsyncWebCrawler,
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CrawlerRunConfig,
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BrowserConfig,
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MemoryAdaptiveDispatcher,
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CrawlerMonitor,
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DisplayMode,
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CrawlResult,
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RateLimiter,
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CacheMode,
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)
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# Constants
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DEFAULT_SITE_PATH = "test_site"
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DEFAULT_PORT = 8000
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DEFAULT_MAX_SESSIONS = 16
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DEFAULT_URL_COUNT = 100
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DEFAULT_CHUNK_SIZE = 10 # Define chunk size for batch logging
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DEFAULT_REPORT_PATH = "reports"
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DEFAULT_STREAM_MODE = False
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DEFAULT_MONITOR_MODE = "DETAILED"
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# Initialize Rich console
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console = Console()
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# --- SiteGenerator Class (Unchanged) ---
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class SiteGenerator:
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"""Generates a local test site with heavy pages for stress testing."""
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def __init__(self, site_path: str = DEFAULT_SITE_PATH, page_count: int = DEFAULT_URL_COUNT):
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self.site_path = pathlib.Path(site_path)
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self.page_count = page_count
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self.images_dir = self.site_path / "images"
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self.lorem_words = " ".join("lorem ipsum dolor sit amet " * 100).split()
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self.html_template = """<!doctype html>
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<html>
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<head>
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<title>Test Page {page_num}</title>
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<meta charset="utf-8">
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</head>
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<body>
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<h1>Test Page {page_num}</h1>
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{paragraphs}
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{images}
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</body>
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</html>
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"""
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def generate_site(self) -> None:
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self.site_path.mkdir(parents=True, exist_ok=True)
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self.images_dir.mkdir(exist_ok=True)
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console.print(f"Generating {self.page_count} test pages...")
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for i in range(self.page_count):
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paragraphs = "\n".join(f"<p>{' '.join(random.choices(self.lorem_words, k=200))}</p>" for _ in range(5))
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images = "\n".join(f'<img src="https://picsum.photos/seed/{secrets.token_hex(8)}/300/200" loading="lazy" alt="Random image {j}"/>' for j in range(3))
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page_path = self.site_path / f"page_{i}.html"
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page_path.write_text(self.html_template.format(page_num=i, paragraphs=paragraphs, images=images), encoding="utf-8")
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if (i + 1) % (self.page_count // 10 or 1) == 0 or i == self.page_count - 1:
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console.print(f"Generated {i+1}/{self.page_count} pages")
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self._create_index_page()
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console.print(f"[bold green]Successfully generated {self.page_count} test pages in [cyan]{self.site_path}[/cyan][/bold green]")
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def _create_index_page(self) -> None:
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index_content = """<!doctype html><html><head><title>Test Site Index</title><meta charset="utf-8"></head><body><h1>Test Site Index</h1><p>This is an automatically generated site for testing Crawl4AI.</p><div class="page-links">\n"""
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for i in range(self.page_count):
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index_content += f' <a href="page_{i}.html">Test Page {i}</a><br>\n'
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index_content += """ </div></body></html>"""
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(self.site_path / "index.html").write_text(index_content, encoding="utf-8")
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# --- LocalHttpServer Class (Unchanged) ---
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class LocalHttpServer:
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"""Manages a local HTTP server for serving test pages."""
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def __init__(self, site_path: str = DEFAULT_SITE_PATH, port: int = DEFAULT_PORT):
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self.site_path = pathlib.Path(site_path)
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self.port = port
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self.process = None
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def start(self) -> None:
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if not self.site_path.exists(): raise FileNotFoundError(f"Site directory {self.site_path} does not exist")
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console.print(f"Attempting to start HTTP server in [cyan]{self.site_path}[/cyan] on port {self.port}...")
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try:
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cmd = ["python", "-m", "http.server", str(self.port)]
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creationflags = 0; preexec_fn = None
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if sys.platform == 'win32': creationflags = subprocess.CREATE_NEW_PROCESS_GROUP
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self.process = subprocess.Popen(cmd, cwd=str(self.site_path), stdout=subprocess.PIPE, stderr=subprocess.PIPE, creationflags=creationflags)
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time.sleep(1.5)
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if self.is_running(): console.print(f"[bold green]HTTP server started successfully (PID: {self.process.pid})[/bold green]")
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else:
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console.print("[bold red]Failed to start HTTP server. Checking logs...[/bold red]")
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stdout, stderr = self.process.communicate(); print(stdout.decode(errors='ignore')); print(stderr.decode(errors='ignore'))
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self.stop(); raise RuntimeError("HTTP server failed to start.")
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except Exception as e: console.print(f"[bold red]Error starting HTTP server: {str(e)}[/bold red]"); self.stop(); raise
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def stop(self) -> None:
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if self.process and self.is_running():
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console.print(f"Stopping HTTP server (PID: {self.process.pid})...")
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try:
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if sys.platform == 'win32': self.process.send_signal(signal.CTRL_BREAK_EVENT); time.sleep(0.5)
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self.process.terminate()
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try: stdout, stderr = self.process.communicate(timeout=5); console.print("[bold yellow]HTTP server stopped[/bold yellow]")
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except subprocess.TimeoutExpired: console.print("[bold red]Server did not terminate gracefully, killing...[/bold red]"); self.process.kill(); stdout, stderr = self.process.communicate(); console.print("[bold yellow]HTTP server killed[/bold yellow]")
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except Exception as e: console.print(f"[bold red]Error stopping HTTP server: {str(e)}[/bold red]"); self.process.kill()
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finally: self.process = None
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elif self.process: console.print("[dim]HTTP server process already stopped.[/dim]"); self.process = None
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def is_running(self) -> bool:
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if not self.process: return False
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return self.process.poll() is None
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# --- SimpleMemoryTracker Class (Unchanged) ---
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class SimpleMemoryTracker:
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"""Basic memory tracker that doesn't rely on psutil."""
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def __init__(self, report_path: str = DEFAULT_REPORT_PATH, test_id: Optional[str] = None):
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self.report_path = pathlib.Path(report_path); self.report_path.mkdir(parents=True, exist_ok=True)
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self.test_id = test_id or time.strftime("%Y%m%d_%H%M%S")
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self.start_time = time.time(); self.memory_samples = []; self.pid = os.getpid()
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self.csv_path = self.report_path / f"memory_samples_{self.test_id}.csv"
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with open(self.csv_path, 'w', encoding='utf-8') as f: f.write("timestamp,elapsed_seconds,memory_info_mb\n")
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def sample(self) -> Dict:
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try:
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memory_mb = self._get_memory_info_mb()
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memory_str = f"{memory_mb:.1f} MB" if memory_mb is not None else "Unknown"
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timestamp = time.time(); elapsed = timestamp - self.start_time
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sample = {"timestamp": timestamp, "elapsed_seconds": elapsed, "memory_mb": memory_mb, "memory_str": memory_str}
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self.memory_samples.append(sample)
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with open(self.csv_path, 'a', encoding='utf-8') as f: f.write(f"{timestamp},{elapsed:.2f},{memory_mb if memory_mb is not None else ''}\n")
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return sample
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except Exception as e: return {"memory_mb": None, "memory_str": "Error"}
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def _get_memory_info_mb(self) -> Optional[float]:
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pid_str = str(self.pid)
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try:
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if sys.platform == 'darwin': result = subprocess.run(["ps", "-o", "rss=", "-p", pid_str], capture_output=True, text=True, check=True, encoding='utf-8'); return int(result.stdout.strip()) / 1024.0
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elif sys.platform == 'linux':
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with open(f"/proc/{pid_str}/status", encoding='utf-8') as f:
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for line in f:
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if line.startswith("VmRSS:"): return int(line.split()[1]) / 1024.0
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return None
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elif sys.platform == 'win32': result = subprocess.run(["tasklist", "/fi", f"PID eq {pid_str}", "/fo", "csv", "/nh"], capture_output=True, text=True, check=True, encoding='cp850', errors='ignore'); parts = result.stdout.strip().split('","'); return int(parts[4].strip().replace('"', '').replace(' K', '').replace(',', '')) / 1024.0 if len(parts) >= 5 else None
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else: return None
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except: return None # Catch all exceptions for robustness
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def get_report(self) -> Dict:
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if not self.memory_samples: return {"error": "No memory samples collected"}
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total_time = time.time() - self.start_time; valid_samples = [s['memory_mb'] for s in self.memory_samples if s['memory_mb'] is not None]
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start_mem = valid_samples[0] if valid_samples else None; end_mem = valid_samples[-1] if valid_samples else None
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max_mem = max(valid_samples) if valid_samples else None; avg_mem = sum(valid_samples) / len(valid_samples) if valid_samples else None
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growth = (end_mem - start_mem) if start_mem is not None and end_mem is not None else None
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return {"test_id": self.test_id, "total_time_seconds": total_time, "sample_count": len(self.memory_samples), "valid_sample_count": len(valid_samples), "csv_path": str(self.csv_path), "platform": sys.platform, "start_memory_mb": start_mem, "end_memory_mb": end_mem, "max_memory_mb": max_mem, "average_memory_mb": avg_mem, "memory_growth_mb": growth}
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# --- CrawlerStressTest Class (Refactored for Per-Batch Logging) ---
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class CrawlerStressTest:
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"""Orchestrates the stress test using arun_many per chunk and a dispatcher."""
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def __init__(
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self,
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url_count: int = DEFAULT_URL_COUNT,
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port: int = DEFAULT_PORT,
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max_sessions: int = DEFAULT_MAX_SESSIONS,
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chunk_size: int = DEFAULT_CHUNK_SIZE, # Added chunk_size
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report_path: str = DEFAULT_REPORT_PATH,
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stream_mode: bool = DEFAULT_STREAM_MODE,
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monitor_mode: str = DEFAULT_MONITOR_MODE,
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use_rate_limiter: bool = False
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):
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self.url_count = url_count
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self.server_port = port
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self.max_sessions = max_sessions
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self.chunk_size = chunk_size # Store chunk size
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self.report_path = pathlib.Path(report_path)
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self.report_path.mkdir(parents=True, exist_ok=True)
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self.stream_mode = stream_mode
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self.monitor_mode = DisplayMode[monitor_mode.upper()]
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self.use_rate_limiter = use_rate_limiter
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self.test_id = time.strftime("%Y%m%d_%H%M%S")
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self.results_summary = {
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"test_id": self.test_id, "url_count": url_count, "max_sessions": max_sessions,
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"chunk_size": chunk_size, "stream_mode": stream_mode, "monitor_mode": monitor_mode,
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"rate_limiter_used": use_rate_limiter, "start_time": "", "end_time": "",
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"total_time_seconds": 0, "successful_urls": 0, "failed_urls": 0,
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"urls_processed": 0, "chunks_processed": 0
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}
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async def run(self) -> Dict:
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"""Run the stress test and return results."""
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memory_tracker = SimpleMemoryTracker(report_path=self.report_path, test_id=self.test_id)
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urls = [f"http://localhost:{self.server_port}/page_{i}.html" for i in range(self.url_count)]
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# Split URLs into chunks based on self.chunk_size
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url_chunks = [urls[i:i+self.chunk_size] for i in range(0, len(urls), self.chunk_size)]
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self.results_summary["start_time"] = time.strftime("%Y-%m-%d %H:%M:%S")
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start_time = time.time()
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config = CrawlerRunConfig(
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wait_for_images=False, verbose=False,
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stream=self.stream_mode, # Still pass stream mode, affects arun_many return type
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cache_mode=CacheMode.BYPASS
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)
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total_successful_urls = 0
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total_failed_urls = 0
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total_urls_processed = 0
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start_memory_sample = memory_tracker.sample()
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start_memory_str = start_memory_sample.get("memory_str", "Unknown")
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# monitor = CrawlerMonitor(display_mode=self.monitor_mode, total_urls=self.url_count)
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monitor = None
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rate_limiter = RateLimiter(base_delay=(0.1, 0.3)) if self.use_rate_limiter else None
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dispatcher = MemoryAdaptiveDispatcher(max_session_permit=self.max_sessions, monitor=monitor, rate_limiter=rate_limiter)
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console.print(f"\n[bold cyan]Crawl4AI Stress Test - {self.url_count} URLs, {self.max_sessions} max sessions[/bold cyan]")
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console.print(f"[bold cyan]Mode:[/bold cyan] {'Streaming' if self.stream_mode else 'Batch'}, [bold cyan]Monitor:[/bold cyan] {self.monitor_mode.name}, [bold cyan]Chunk Size:[/bold cyan] {self.chunk_size}")
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console.print(f"[bold cyan]Initial Memory:[/bold cyan] {start_memory_str}")
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# Print batch log header only if not streaming
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if not self.stream_mode:
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console.print("\n[bold]Batch Progress:[/bold] (Monitor below shows overall progress)")
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console.print("[bold] Batch | Progress | Start Mem | End Mem | URLs/sec | Success/Fail | Time (s) | Status [/bold]")
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console.print("─" * 90)
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monitor_task = asyncio.create_task(self._periodic_memory_sample(memory_tracker, 2.0))
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try:
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async with AsyncWebCrawler(
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config=BrowserConfig( verbose = False)
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) as crawler:
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# Process URLs chunk by chunk
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for chunk_idx, url_chunk in enumerate(url_chunks):
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batch_start_time = time.time()
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chunk_success = 0
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chunk_failed = 0
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# Sample memory before the chunk
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start_mem_sample = memory_tracker.sample()
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start_mem_str = start_mem_sample.get("memory_str", "Unknown")
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# --- Call arun_many for the current chunk ---
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try:
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# Note: dispatcher/monitor persist across calls
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results_gen_or_list: Union[AsyncGenerator[CrawlResult, None], List[CrawlResult]] = \
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await crawler.arun_many(
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urls=url_chunk,
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config=config,
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dispatcher=dispatcher # Reuse the same dispatcher
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)
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if self.stream_mode:
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# Process stream results if needed, but batch logging is less relevant
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async for result in results_gen_or_list:
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total_urls_processed += 1
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if result.success: chunk_success += 1
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else: chunk_failed += 1
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# In stream mode, batch summary isn't as meaningful here
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# We could potentially track completion per chunk async, but it's complex
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else: # Batch mode
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# Process the list of results for this chunk
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for result in results_gen_or_list:
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total_urls_processed += 1
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if result.success: chunk_success += 1
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else: chunk_failed += 1
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except Exception as e:
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console.print(f"[bold red]Error processing chunk {chunk_idx+1}: {e}[/bold red]")
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chunk_failed = len(url_chunk) # Assume all failed in the chunk on error
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total_urls_processed += len(url_chunk) # Count them as processed (failed)
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# --- Log batch results (only if not streaming) ---
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if not self.stream_mode:
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batch_time = time.time() - batch_start_time
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urls_per_sec = len(url_chunk) / batch_time if batch_time > 0 else 0
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end_mem_sample = memory_tracker.sample()
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end_mem_str = end_mem_sample.get("memory_str", "Unknown")
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progress_pct = (total_urls_processed / self.url_count) * 100
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if chunk_failed == 0: status_color, status = "green", "Success"
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elif chunk_success == 0: status_color, status = "red", "Failed"
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else: status_color, status = "yellow", "Partial"
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console.print(
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f" {chunk_idx+1:<5} | {progress_pct:6.1f}% | {start_mem_str:>9} | {end_mem_str:>9} | {urls_per_sec:8.1f} | "
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f"{chunk_success:^7}/{chunk_failed:<6} | {batch_time:8.2f} | [{status_color}]{status:<7}[/{status_color}]"
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)
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# Accumulate totals
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total_successful_urls += chunk_success
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total_failed_urls += chunk_failed
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self.results_summary["chunks_processed"] += 1
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# Optional small delay between starting chunks if needed
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# await asyncio.sleep(0.1)
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except Exception as e:
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console.print(f"[bold red]An error occurred during the main crawl loop: {e}[/bold red]")
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finally:
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if 'monitor_task' in locals() and not monitor_task.done():
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monitor_task.cancel()
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try: await monitor_task
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except asyncio.CancelledError: pass
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end_time = time.time()
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self.results_summary.update({
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"end_time": time.strftime("%Y-%m-%d %H:%M:%S"),
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"total_time_seconds": end_time - start_time,
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"successful_urls": total_successful_urls,
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"failed_urls": total_failed_urls,
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"urls_processed": total_urls_processed,
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"memory": memory_tracker.get_report()
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})
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self._save_results()
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return self.results_summary
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async def _periodic_memory_sample(self, tracker: SimpleMemoryTracker, interval: float):
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"""Background task to sample memory periodically."""
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while True:
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tracker.sample()
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try:
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await asyncio.sleep(interval)
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except asyncio.CancelledError:
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break # Exit loop on cancellation
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def _save_results(self) -> None:
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results_path = self.report_path / f"test_summary_{self.test_id}.json"
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try:
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with open(results_path, 'w', encoding='utf-8') as f: json.dump(self.results_summary, f, indent=2, default=str)
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# console.print(f"\n[bold green]Results summary saved to {results_path}[/bold green]") # Moved summary print to run_full_test
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except Exception as e: console.print(f"[bold red]Failed to save results summary: {e}[/bold red]")
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# --- run_full_test Function (Adjusted) ---
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async def run_full_test(args):
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"""Run the complete test process from site generation to crawling."""
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server = None
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site_generated = False
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# --- Site Generation --- (Same as before)
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if not args.use_existing_site and not args.skip_generation:
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if os.path.exists(args.site_path): console.print(f"[yellow]Removing existing site directory: {args.site_path}[/yellow]"); shutil.rmtree(args.site_path)
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site_generator = SiteGenerator(site_path=args.site_path, page_count=args.urls); site_generator.generate_site(); site_generated = True
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elif args.use_existing_site: console.print(f"[cyan]Using existing site assumed to be running on port {args.port}[/cyan]")
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elif args.skip_generation:
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console.print(f"[cyan]Skipping site generation, using existing directory: {args.site_path}[/cyan]")
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if not os.path.exists(args.site_path) or not os.path.isdir(args.site_path): console.print(f"[bold red]Error: Site path '{args.site_path}' does not exist or is not a directory.[/bold red]"); return
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# --- Start Local Server --- (Same as before)
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server_started = False
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if not args.use_existing_site:
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server = LocalHttpServer(site_path=args.site_path, port=args.port)
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try: server.start(); server_started = True
|
|
except Exception as e:
|
|
console.print(f"[bold red]Failed to start local server. Aborting test.[/bold red]")
|
|
if site_generated and not args.keep_site: console.print(f"[yellow]Cleaning up generated site: {args.site_path}[/yellow]"); shutil.rmtree(args.site_path)
|
|
return
|
|
|
|
try:
|
|
# --- Run the Stress Test ---
|
|
test = CrawlerStressTest(
|
|
url_count=args.urls,
|
|
port=args.port,
|
|
max_sessions=args.max_sessions,
|
|
chunk_size=args.chunk_size, # Pass chunk_size
|
|
report_path=args.report_path,
|
|
stream_mode=args.stream,
|
|
monitor_mode=args.monitor_mode,
|
|
use_rate_limiter=args.use_rate_limiter
|
|
)
|
|
results = await test.run() # Run the test which now handles chunks internally
|
|
|
|
# --- Print Summary ---
|
|
console.print("\n" + "=" * 80)
|
|
console.print("[bold green]Test Completed[/bold green]")
|
|
console.print("=" * 80)
|
|
|
|
# (Summary printing logic remains largely the same)
|
|
success_rate = results["successful_urls"] / results["url_count"] * 100 if results["url_count"] > 0 else 0
|
|
urls_per_second = results["urls_processed"] / results["total_time_seconds"] if results["total_time_seconds"] > 0 else 0
|
|
|
|
console.print(f"[bold cyan]Test ID:[/bold cyan] {results['test_id']}")
|
|
console.print(f"[bold cyan]Configuration:[/bold cyan] {results['url_count']} URLs, {results['max_sessions']} sessions, Chunk: {results['chunk_size']}, Stream: {results['stream_mode']}, Monitor: {results['monitor_mode']}")
|
|
console.print(f"[bold cyan]Results:[/bold cyan] {results['successful_urls']} successful, {results['failed_urls']} failed ({results['urls_processed']} processed, {success_rate:.1f}% success)")
|
|
console.print(f"[bold cyan]Performance:[/bold cyan] {results['total_time_seconds']:.2f} seconds total, {urls_per_second:.2f} URLs/second avg")
|
|
|
|
mem_report = results.get("memory", {})
|
|
mem_info_str = "Memory tracking data unavailable."
|
|
if mem_report and not mem_report.get("error"):
|
|
start_mb = mem_report.get('start_memory_mb'); end_mb = mem_report.get('end_memory_mb'); max_mb = mem_report.get('max_memory_mb'); growth_mb = mem_report.get('memory_growth_mb')
|
|
mem_parts = []
|
|
if start_mb is not None: mem_parts.append(f"Start: {start_mb:.1f} MB")
|
|
if end_mb is not None: mem_parts.append(f"End: {end_mb:.1f} MB")
|
|
if max_mb is not None: mem_parts.append(f"Max: {max_mb:.1f} MB")
|
|
if growth_mb is not None: mem_parts.append(f"Growth: {growth_mb:.1f} MB")
|
|
if mem_parts: mem_info_str = ", ".join(mem_parts)
|
|
csv_path = mem_report.get('csv_path')
|
|
if csv_path: console.print(f"[dim]Memory samples saved to: {csv_path}[/dim]")
|
|
|
|
console.print(f"[bold cyan]Memory Usage:[/bold cyan] {mem_info_str}")
|
|
console.print(f"[bold green]Results summary saved to {results['memory']['csv_path'].replace('memory_samples', 'test_summary').replace('.csv', '.json')}[/bold green]") # Infer summary path
|
|
|
|
|
|
if results["failed_urls"] > 0: console.print(f"\n[bold yellow]Warning: {results['failed_urls']} URLs failed to process ({100-success_rate:.1f}% failure rate)[/bold yellow]")
|
|
if results["urls_processed"] < results["url_count"]: console.print(f"\n[bold red]Error: Only {results['urls_processed']} out of {results['url_count']} URLs were processed![/bold red]")
|
|
|
|
|
|
finally:
|
|
# --- Stop Server / Cleanup --- (Same as before)
|
|
if server_started and server and not args.keep_server_alive: server.stop()
|
|
elif server_started and server and args.keep_server_alive:
|
|
console.print(f"[bold cyan]Server is kept running on port {args.port}. Press Ctrl+C to stop it.[/bold cyan]")
|
|
try: await asyncio.Future() # Keep running indefinitely
|
|
except KeyboardInterrupt: console.print("\n[bold yellow]Stopping server due to user interrupt...[/bold yellow]"); server.stop()
|
|
|
|
if site_generated and not args.keep_site: console.print(f"[yellow]Cleaning up generated site: {args.site_path}[/yellow]"); shutil.rmtree(args.site_path)
|
|
elif args.clean_site and os.path.exists(args.site_path): console.print(f"[yellow]Cleaning up site directory as requested: {args.site_path}[/yellow]"); shutil.rmtree(args.site_path)
|
|
|
|
|
|
# --- main Function (Added chunk_size argument) ---
|
|
def main():
|
|
"""Main entry point for the script."""
|
|
parser = argparse.ArgumentParser(description="Crawl4AI SDK High Volume Stress Test using arun_many")
|
|
|
|
# Test parameters
|
|
parser.add_argument("--urls", type=int, default=DEFAULT_URL_COUNT, help=f"Number of URLs to test (default: {DEFAULT_URL_COUNT})")
|
|
parser.add_argument("--max-sessions", type=int, default=DEFAULT_MAX_SESSIONS, help=f"Maximum concurrent crawling sessions (default: {DEFAULT_MAX_SESSIONS})")
|
|
parser.add_argument("--chunk-size", type=int, default=DEFAULT_CHUNK_SIZE, help=f"Number of URLs per batch for logging (default: {DEFAULT_CHUNK_SIZE})") # Added
|
|
parser.add_argument("--stream", action="store_true", default=DEFAULT_STREAM_MODE, help=f"Enable streaming mode (disables batch logging) (default: {DEFAULT_STREAM_MODE})")
|
|
parser.add_argument("--monitor-mode", type=str, default=DEFAULT_MONITOR_MODE, choices=["DETAILED", "AGGREGATED"], help=f"Display mode for the live monitor (default: {DEFAULT_MONITOR_MODE})")
|
|
parser.add_argument("--use-rate-limiter", action="store_true", default=False, help="Enable a basic rate limiter (default: False)")
|
|
|
|
# Environment parameters
|
|
parser.add_argument("--site-path", type=str, default=DEFAULT_SITE_PATH, help=f"Path to generate/use the test site (default: {DEFAULT_SITE_PATH})")
|
|
parser.add_argument("--port", type=int, default=DEFAULT_PORT, help=f"Port for the local HTTP server (default: {DEFAULT_PORT})")
|
|
parser.add_argument("--report-path", type=str, default=DEFAULT_REPORT_PATH, help=f"Path to save reports and logs (default: {DEFAULT_REPORT_PATH})")
|
|
|
|
# Site/Server management
|
|
parser.add_argument("--skip-generation", action="store_true", help="Use existing test site folder without regenerating")
|
|
parser.add_argument("--use-existing-site", action="store_true", help="Do not generate site or start local server; assume site exists on --port")
|
|
parser.add_argument("--keep-server-alive", action="store_true", help="Keep the local HTTP server running after test")
|
|
parser.add_argument("--keep-site", action="store_true", help="Keep the generated test site files after test")
|
|
parser.add_argument("--clean-reports", action="store_true", help="Clean up report directory before running")
|
|
parser.add_argument("--clean-site", action="store_true", help="Clean up site directory before running (if generating) or after")
|
|
|
|
args = parser.parse_args()
|
|
|
|
# Display config
|
|
console.print("[bold underline]Crawl4AI SDK Stress Test Configuration[/bold underline]")
|
|
console.print(f"URLs: {args.urls}, Max Sessions: {args.max_sessions}, Chunk Size: {args.chunk_size}") # Added chunk size
|
|
console.print(f"Mode: {'Streaming' if args.stream else 'Batch'}, Monitor: {args.monitor_mode}, Rate Limit: {args.use_rate_limiter}")
|
|
console.print(f"Site Path: {args.site_path}, Port: {args.port}, Report Path: {args.report_path}")
|
|
console.print("-" * 40)
|
|
# (Rest of config display and cleanup logic is the same)
|
|
if args.use_existing_site: console.print("[cyan]Mode: Using existing external site/server[/cyan]")
|
|
elif args.skip_generation: console.print("[cyan]Mode: Using existing site files, starting local server[/cyan]")
|
|
else: console.print("[cyan]Mode: Generating site files, starting local server[/cyan]")
|
|
if args.keep_server_alive: console.print("[cyan]Option: Keep server alive after test[/cyan]")
|
|
if args.keep_site: console.print("[cyan]Option: Keep site files after test[/cyan]")
|
|
if args.clean_reports: console.print("[cyan]Option: Clean reports before test[/cyan]")
|
|
if args.clean_site: console.print("[cyan]Option: Clean site directory[/cyan]")
|
|
console.print("-" * 40)
|
|
|
|
if args.clean_reports:
|
|
if os.path.exists(args.report_path): console.print(f"[yellow]Cleaning up reports directory: {args.report_path}[/yellow]"); shutil.rmtree(args.report_path)
|
|
os.makedirs(args.report_path, exist_ok=True)
|
|
if args.clean_site and not args.use_existing_site:
|
|
if os.path.exists(args.site_path): console.print(f"[yellow]Cleaning up site directory as requested: {args.site_path}[/yellow]"); shutil.rmtree(args.site_path)
|
|
|
|
# Run
|
|
try: asyncio.run(run_full_test(args))
|
|
except KeyboardInterrupt: console.print("\n[bold yellow]Test interrupted by user.[/bold yellow]")
|
|
except Exception as e: console.print(f"\n[bold red]An unexpected error occurred:[/bold red] {e}"); import traceback; traceback.print_exc()
|
|
|
|
if __name__ == "__main__":
|
|
main() |