Apply Ruff Corrections
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@@ -3,11 +3,18 @@ import time
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from rich import print
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from rich.table import Table
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from crawl4ai import (
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AsyncWebCrawler, BrowserConfig, CrawlerRunConfig,
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MemoryAdaptiveDispatcher, SemaphoreDispatcher,
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RateLimiter, CrawlerMonitor, DisplayMode, CacheMode
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AsyncWebCrawler,
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BrowserConfig,
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CrawlerRunConfig,
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MemoryAdaptiveDispatcher,
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SemaphoreDispatcher,
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RateLimiter,
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CrawlerMonitor,
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DisplayMode,
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CacheMode,
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)
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async def memory_adaptive(urls, browser_config, run_config):
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"""Memory adaptive crawler with monitoring"""
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start = time.perf_counter()
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@@ -16,14 +23,16 @@ async def memory_adaptive(urls, browser_config, run_config):
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memory_threshold_percent=70.0,
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max_session_permit=10,
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monitor=CrawlerMonitor(
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max_visible_rows=15,
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display_mode=DisplayMode.DETAILED
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)
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max_visible_rows=15, display_mode=DisplayMode.DETAILED
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),
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)
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results = await crawler.arun_many(
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urls, config=run_config, dispatcher=dispatcher
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)
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results = await crawler.arun_many(urls, config=run_config, dispatcher=dispatcher)
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duration = time.perf_counter() - start
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return len(results), duration
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async def memory_adaptive_with_rate_limit(urls, browser_config, run_config):
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"""Memory adaptive crawler with rate limiting"""
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start = time.perf_counter()
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@@ -32,19 +41,19 @@ async def memory_adaptive_with_rate_limit(urls, browser_config, run_config):
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memory_threshold_percent=70.0,
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max_session_permit=10,
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rate_limiter=RateLimiter(
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base_delay=(1.0, 2.0),
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max_delay=30.0,
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max_retries=2
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base_delay=(1.0, 2.0), max_delay=30.0, max_retries=2
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),
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monitor=CrawlerMonitor(
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max_visible_rows=15,
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display_mode=DisplayMode.DETAILED
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)
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max_visible_rows=15, display_mode=DisplayMode.DETAILED
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),
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)
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results = await crawler.arun_many(
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urls, config=run_config, dispatcher=dispatcher
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)
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results = await crawler.arun_many(urls, config=run_config, dispatcher=dispatcher)
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duration = time.perf_counter() - start
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return len(results), duration
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async def semaphore(urls, browser_config, run_config):
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"""Basic semaphore crawler"""
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start = time.perf_counter()
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@@ -52,14 +61,16 @@ async def semaphore(urls, browser_config, run_config):
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dispatcher = SemaphoreDispatcher(
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semaphore_count=5,
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monitor=CrawlerMonitor(
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max_visible_rows=15,
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display_mode=DisplayMode.DETAILED
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)
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max_visible_rows=15, display_mode=DisplayMode.DETAILED
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),
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)
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results = await crawler.arun_many(
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urls, config=run_config, dispatcher=dispatcher
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)
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results = await crawler.arun_many(urls, config=run_config, dispatcher=dispatcher)
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duration = time.perf_counter() - start
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return len(results), duration
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async def semaphore_with_rate_limit(urls, browser_config, run_config):
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"""Semaphore crawler with rate limiting"""
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start = time.perf_counter()
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@@ -67,19 +78,19 @@ async def semaphore_with_rate_limit(urls, browser_config, run_config):
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dispatcher = SemaphoreDispatcher(
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semaphore_count=5,
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rate_limiter=RateLimiter(
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base_delay=(1.0, 2.0),
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max_delay=30.0,
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max_retries=2
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base_delay=(1.0, 2.0), max_delay=30.0, max_retries=2
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),
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monitor=CrawlerMonitor(
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max_visible_rows=15,
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display_mode=DisplayMode.DETAILED
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)
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max_visible_rows=15, display_mode=DisplayMode.DETAILED
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),
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)
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results = await crawler.arun_many(
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urls, config=run_config, dispatcher=dispatcher
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)
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results = await crawler.arun_many(urls, config=run_config, dispatcher=dispatcher)
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duration = time.perf_counter() - start
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return len(results), duration
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def create_performance_table(results):
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"""Creates a rich table showing performance results"""
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table = Table(title="Crawler Strategy Performance Comparison")
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@@ -89,18 +100,16 @@ def create_performance_table(results):
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table.add_column("URLs/second", justify="right", style="magenta")
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sorted_results = sorted(results.items(), key=lambda x: x[1][1])
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for strategy, (urls_crawled, duration) in sorted_results:
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urls_per_second = urls_crawled / duration
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table.add_row(
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strategy,
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str(urls_crawled),
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f"{duration:.2f}",
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f"{urls_per_second:.2f}"
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strategy, str(urls_crawled), f"{duration:.2f}", f"{urls_per_second:.2f}"
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)
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return table
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async def main():
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urls = [f"https://example.com/page{i}" for i in range(1, 20)]
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browser_config = BrowserConfig(headless=True, verbose=False)
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@@ -108,14 +117,19 @@ async def main():
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results = {
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"Memory Adaptive": await memory_adaptive(urls, browser_config, run_config),
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"Memory Adaptive + Rate Limit": await memory_adaptive_with_rate_limit(urls, browser_config, run_config),
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"Memory Adaptive + Rate Limit": await memory_adaptive_with_rate_limit(
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urls, browser_config, run_config
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),
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"Semaphore": await semaphore(urls, browser_config, run_config),
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"Semaphore + Rate Limit": await semaphore_with_rate_limit(urls, browser_config, run_config),
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"Semaphore + Rate Limit": await semaphore_with_rate_limit(
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urls, browser_config, run_config
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),
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}
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table = create_performance_table(results)
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print("\nPerformance Summary:")
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print(table)
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if __name__ == "__main__":
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asyncio.run(main())
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asyncio.run(main())
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