commit 2def6524cdacb69c72760bf55a41089257c0bb07 Author: ntohidi <nasrin@kidocode.com> Date: Mon Aug 4 18:59:10 2025 +0800 refactor: consolidate WebScrapingStrategy to use LXML implementation only BREAKING CHANGE: None - full backward compatibility maintained This commit simplifies the content scraping architecture by removing the redundant BeautifulSoup-based WebScrapingStrategy implementation and making it an alias for LXMLWebScrapingStrategy. Changes: - Remove ~1000 lines of BeautifulSoup-based WebScrapingStrategy code - Make WebScrapingStrategy an alias for LXMLWebScrapingStrategy - Update LXMLWebScrapingStrategy to inherit directly from ContentScrapingStrategy - Add required methods (scrap, ascrap, process_element, _log) to LXMLWebScrapingStrategy - Maintain 100% backward compatibility - existing code continues to work Code changes: - crawl4ai/content_scraping_strategy.py: Remove WebScrapingStrategy class, add alias - crawl4ai/async_configs.py: Remove WebScrapingStrategy from imports - crawl4ai/__init__.py: Update imports to show alias relationship - crawl4ai/types.py: Update type definitions - crawl4ai/legacy/web_crawler.py: Update import to use alias - tests/async/test_content_scraper_strategy.py: Update to use LXMLWebScrapingStrategy - docs/examples/scraping_strategies_performance.py: Update to use single strategy Documentation updates: - docs/md_v2/core/content-selection.md: Update scraping modes section - docs/md_v2/migration/webscraping-strategy-migration.md: Add migration guide - CHANGELOG.md: Document the refactoring under [Unreleased] Benefits: - 10-20x faster HTML parsing for large documents - Reduced memory usage and simplified codebase - Consistent parsing behavior - No migration required for existing users All existing code using WebScrapingStrategy continues to work without modification, while benefiting from LXML's superior performance.
217 lines
7.5 KiB
Python
217 lines
7.5 KiB
Python
import os
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import sys
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import time
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import csv
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from tabulate import tabulate
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from dataclasses import dataclass
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from typing import List
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parent_dir = os.path.dirname(
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os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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)
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sys.path.append(parent_dir)
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__location__ = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__)))
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from crawl4ai.content_scraping_strategy import LXMLWebScrapingStrategy
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# This test compares the same strategy with itself now since WebScrapingStrategy is deprecated
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@dataclass
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class TestResult:
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name: str
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success: bool
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images: int
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internal_links: int
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external_links: int
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markdown_length: int
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execution_time: float
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class StrategyTester:
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def __init__(self):
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self.new_scraper = LXMLWebScrapingStrategy()
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self.current_scraper = LXMLWebScrapingStrategy() # Same strategy now
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with open(__location__ + "/sample_wikipedia.html", "r", encoding="utf-8") as f:
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self.WIKI_HTML = f.read()
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self.results = {"new": [], "current": []}
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def run_test(self, name: str, **kwargs) -> tuple[TestResult, TestResult]:
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results = []
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for scraper in [self.new_scraper, self.current_scraper]:
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start_time = time.time()
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result = scraper._get_content_of_website_optimized(
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url="https://en.wikipedia.org/wiki/Test", html=self.WIKI_HTML, **kwargs
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)
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execution_time = time.time() - start_time
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test_result = TestResult(
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name=name,
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success=result["success"],
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images=len(result["media"]["images"]),
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internal_links=len(result["links"]["internal"]),
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external_links=len(result["links"]["external"]),
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markdown_length=len(result["markdown"]),
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execution_time=execution_time,
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)
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results.append(test_result)
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return results[0], results[1] # new, current
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def run_all_tests(self):
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test_cases = [
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("Basic Extraction", {}),
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("Exclude Tags", {"excluded_tags": ["table", "div.infobox", "div.navbox"]}),
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("Word Threshold", {"word_count_threshold": 50}),
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("CSS Selector", {"css_selector": "div.mw-parser-output > p"}),
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(
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"Link Exclusions",
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{
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"exclude_external_links": True,
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"exclude_social_media_links": True,
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"exclude_domains": ["facebook.com", "twitter.com"],
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},
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),
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(
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"Media Handling",
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{
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"exclude_external_images": True,
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"image_description_min_word_threshold": 20,
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},
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),
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("Text Only", {"only_text": True, "remove_forms": True}),
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("HTML Cleaning", {"clean_html": True, "keep_data_attributes": True}),
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(
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"HTML2Text Options",
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{
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"html2text": {
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"skip_internal_links": True,
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"single_line_break": True,
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"mark_code": True,
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"preserve_tags": ["pre", "code"],
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}
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},
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),
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]
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all_results = []
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for name, kwargs in test_cases:
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try:
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new_result, current_result = self.run_test(name, **kwargs)
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all_results.append((name, new_result, current_result))
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except Exception as e:
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print(f"Error in {name}: {str(e)}")
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self.save_results_to_csv(all_results)
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self.print_comparison_table(all_results)
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def save_results_to_csv(self, all_results: List[tuple]):
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csv_file = os.path.join(__location__, "strategy_comparison_results.csv")
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with open(csv_file, "w", newline="") as f:
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writer = csv.writer(f)
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writer.writerow(
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[
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"Test Name",
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"Strategy",
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"Success",
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"Images",
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"Internal Links",
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"External Links",
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"Markdown Length",
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"Execution Time",
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]
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)
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for name, new_result, current_result in all_results:
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writer.writerow(
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[
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name,
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"New",
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new_result.success,
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new_result.images,
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new_result.internal_links,
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new_result.external_links,
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new_result.markdown_length,
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f"{new_result.execution_time:.3f}",
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]
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)
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writer.writerow(
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[
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name,
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"Current",
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current_result.success,
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current_result.images,
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current_result.internal_links,
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current_result.external_links,
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current_result.markdown_length,
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f"{current_result.execution_time:.3f}",
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]
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)
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def print_comparison_table(self, all_results: List[tuple]):
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table_data = []
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headers = [
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"Test Name",
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"Strategy",
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"Success",
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"Images",
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"Internal Links",
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"External Links",
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"Markdown Length",
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"Time (s)",
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]
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for name, new_result, current_result in all_results:
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# Check for differences
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differences = []
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if new_result.images != current_result.images:
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differences.append("images")
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if new_result.internal_links != current_result.internal_links:
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differences.append("internal_links")
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if new_result.external_links != current_result.external_links:
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differences.append("external_links")
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if new_result.markdown_length != current_result.markdown_length:
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differences.append("markdown")
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# Add row for new strategy
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new_row = [
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name,
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"New",
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new_result.success,
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new_result.images,
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new_result.internal_links,
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new_result.external_links,
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new_result.markdown_length,
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f"{new_result.execution_time:.3f}",
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]
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table_data.append(new_row)
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# Add row for current strategy
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current_row = [
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"",
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"Current",
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current_result.success,
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current_result.images,
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current_result.internal_links,
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current_result.external_links,
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current_result.markdown_length,
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f"{current_result.execution_time:.3f}",
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]
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table_data.append(current_row)
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# Add difference summary if any
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if differences:
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table_data.append(
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["", "⚠️ Differences", ", ".join(differences), "", "", "", "", ""]
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)
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# Add empty row for better readability
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table_data.append([""] * len(headers))
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print("\nStrategy Comparison Results:")
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print(tabulate(table_data, headers=headers, tablefmt="grid"))
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if __name__ == "__main__":
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tester = StrategyTester()
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tester.run_all_tests()
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