Merge branch 'main' of https://github.com/unclecode/crawl4ai
This commit is contained in:
Unclecode
357
crawl4ai/web_crawler.back.py
Normal file
357
crawl4ai/web_crawler.back.py
Normal file
@@ -0,0 +1,357 @@
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import os, time
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os.environ["TOKENIZERS_PARALLELISM"] = "false"
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from pathlib import Path
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from .models import UrlModel, CrawlResult
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from .database import init_db, get_cached_url, cache_url, DB_PATH, flush_db
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from .utils import *
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from .chunking_strategy import *
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from .extraction_strategy import *
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from .crawler_strategy import *
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from typing import List
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from concurrent.futures import ThreadPoolExecutor
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from .config import *
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class WebCrawler:
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def __init__(
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self,
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# db_path: str = None,
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crawler_strategy: CrawlerStrategy = None,
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always_by_pass_cache: bool = False,
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verbose: bool = False,
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):
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# self.db_path = db_path
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self.crawler_strategy = crawler_strategy or LocalSeleniumCrawlerStrategy(verbose=verbose)
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self.always_by_pass_cache = always_by_pass_cache
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# Create the .crawl4ai folder in the user's home directory if it doesn't exist
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self.crawl4ai_folder = os.path.join(Path.home(), ".crawl4ai")
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os.makedirs(self.crawl4ai_folder, exist_ok=True)
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os.makedirs(f"{self.crawl4ai_folder}/cache", exist_ok=True)
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# If db_path is not provided, use the default path
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# if not db_path:
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# self.db_path = f"{self.crawl4ai_folder}/crawl4ai.db"
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# flush_db()
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init_db()
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self.ready = False
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def warmup(self):
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print("[LOG] 🌤️ Warming up the WebCrawler")
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result = self.run(
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url='https://crawl4ai.uccode.io/',
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word_count_threshold=5,
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extraction_strategy= NoExtractionStrategy(),
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bypass_cache=False,
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verbose = False
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)
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self.ready = True
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print("[LOG] 🌞 WebCrawler is ready to crawl")
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def fetch_page(
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self,
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url_model: UrlModel,
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provider: str = DEFAULT_PROVIDER,
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api_token: str = None,
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extract_blocks_flag: bool = True,
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word_count_threshold=MIN_WORD_THRESHOLD,
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css_selector: str = None,
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screenshot: bool = False,
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use_cached_html: bool = False,
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extraction_strategy: ExtractionStrategy = None,
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chunking_strategy: ChunkingStrategy = RegexChunking(),
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**kwargs,
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) -> CrawlResult:
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return self.run(
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url_model.url,
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word_count_threshold,
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extraction_strategy or NoExtractionStrategy(),
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chunking_strategy,
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bypass_cache=url_model.forced,
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css_selector=css_selector,
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screenshot=screenshot,
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**kwargs,
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)
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pass
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def run_old(
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self,
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url: str,
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word_count_threshold=MIN_WORD_THRESHOLD,
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extraction_strategy: ExtractionStrategy = None,
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chunking_strategy: ChunkingStrategy = RegexChunking(),
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bypass_cache: bool = False,
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css_selector: str = None,
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screenshot: bool = False,
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user_agent: str = None,
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verbose=True,
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**kwargs,
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) -> CrawlResult:
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if user_agent:
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self.crawler_strategy.update_user_agent(user_agent)
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extraction_strategy = extraction_strategy or NoExtractionStrategy()
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extraction_strategy.verbose = verbose
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# Check if extraction strategy is an instance of ExtractionStrategy if not raise an error
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if not isinstance(extraction_strategy, ExtractionStrategy):
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raise ValueError("Unsupported extraction strategy")
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if not isinstance(chunking_strategy, ChunkingStrategy):
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raise ValueError("Unsupported chunking strategy")
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# make sure word_count_threshold is not lesser than MIN_WORD_THRESHOLD
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if word_count_threshold < MIN_WORD_THRESHOLD:
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word_count_threshold = MIN_WORD_THRESHOLD
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# Check cache first
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if not bypass_cache and not self.always_by_pass_cache:
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cached = get_cached_url(url)
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if cached:
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return CrawlResult(
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**{
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"url": cached[0],
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"html": cached[1],
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"cleaned_html": cached[2],
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"markdown": cached[3],
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"extracted_content": cached[4],
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"success": cached[5],
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"media": json.loads(cached[6] or "{}"),
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"links": json.loads(cached[7] or "{}"),
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"metadata": json.loads(cached[8] or "{}"), # "metadata": "{}
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"screenshot": cached[9],
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"error_message": "",
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}
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)
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# Initialize WebDriver for crawling
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t = time.time()
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if kwargs.get("js", None):
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self.crawler_strategy.js_code = kwargs.get("js")
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html = self.crawler_strategy.crawl(url)
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base64_image = None
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if screenshot:
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base64_image = self.crawler_strategy.take_screenshot()
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success = True
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error_message = ""
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# Extract content from HTML
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try:
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result = get_content_of_website(url, html, word_count_threshold, css_selector=css_selector)
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metadata = extract_metadata(html)
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if result is None:
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raise ValueError(f"Failed to extract content from the website: {url}")
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except InvalidCSSSelectorError as e:
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raise ValueError(str(e))
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cleaned_html = result.get("cleaned_html", "")
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markdown = result.get("markdown", "")
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media = result.get("media", [])
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links = result.get("links", [])
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# Print a profession LOG style message, show time taken and say crawling is done
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if verbose:
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print(
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f"[LOG] 🚀 Crawling done for {url}, success: {success}, time taken: {time.time() - t} seconds"
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)
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extracted_content = []
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if verbose:
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print(f"[LOG] 🔥 Extracting semantic blocks for {url}, Strategy: {extraction_strategy.name}")
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t = time.time()
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# Split markdown into sections
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sections = chunking_strategy.chunk(markdown)
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# sections = merge_chunks_based_on_token_threshold(sections, CHUNK_TOKEN_THRESHOLD)
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extracted_content = extraction_strategy.run(
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url, sections,
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)
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extracted_content = json.dumps(extracted_content)
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if verbose:
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print(
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f"[LOG] 🚀 Extraction done for {url}, time taken: {time.time() - t} seconds."
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)
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# Cache the result
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cleaned_html = beautify_html(cleaned_html)
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cache_url(
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url,
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html,
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cleaned_html,
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markdown,
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extracted_content,
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success,
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json.dumps(media),
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json.dumps(links),
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json.dumps(metadata),
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screenshot=base64_image,
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)
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return CrawlResult(
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url=url,
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html=html,
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cleaned_html=cleaned_html,
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markdown=markdown,
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media=media,
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links=links,
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metadata=metadata,
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screenshot=base64_image,
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extracted_content=extracted_content,
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success=success,
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error_message=error_message,
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)
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def fetch_pages(
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self,
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url_models: List[UrlModel],
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provider: str = DEFAULT_PROVIDER,
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||||
api_token: str = None,
|
||||
extract_blocks_flag: bool = True,
|
||||
word_count_threshold=MIN_WORD_THRESHOLD,
|
||||
use_cached_html: bool = False,
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css_selector: str = None,
|
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screenshot: bool = False,
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extraction_strategy: ExtractionStrategy = None,
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chunking_strategy: ChunkingStrategy = RegexChunking(),
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**kwargs,
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) -> List[CrawlResult]:
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extraction_strategy = extraction_strategy or NoExtractionStrategy()
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def fetch_page_wrapper(url_model, *args, **kwargs):
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return self.fetch_page(url_model, *args, **kwargs)
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with ThreadPoolExecutor() as executor:
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results = list(
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executor.map(
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fetch_page_wrapper,
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url_models,
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[provider] * len(url_models),
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[api_token] * len(url_models),
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[extract_blocks_flag] * len(url_models),
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[word_count_threshold] * len(url_models),
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[css_selector] * len(url_models),
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[screenshot] * len(url_models),
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[use_cached_html] * len(url_models),
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[extraction_strategy] * len(url_models),
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||||
[chunking_strategy] * len(url_models),
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||||
*[kwargs] * len(url_models),
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||||
)
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||||
)
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return results
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||||
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||||
def run(
|
||||
self,
|
||||
url: str,
|
||||
word_count_threshold=MIN_WORD_THRESHOLD,
|
||||
extraction_strategy: ExtractionStrategy = None,
|
||||
chunking_strategy: ChunkingStrategy = RegexChunking(),
|
||||
bypass_cache: bool = False,
|
||||
css_selector: str = None,
|
||||
screenshot: bool = False,
|
||||
user_agent: str = None,
|
||||
verbose=True,
|
||||
**kwargs,
|
||||
) -> CrawlResult:
|
||||
extraction_strategy = extraction_strategy or NoExtractionStrategy()
|
||||
extraction_strategy.verbose = verbose
|
||||
if not isinstance(extraction_strategy, ExtractionStrategy):
|
||||
raise ValueError("Unsupported extraction strategy")
|
||||
if not isinstance(chunking_strategy, ChunkingStrategy):
|
||||
raise ValueError("Unsupported chunking strategy")
|
||||
|
||||
if word_count_threshold < MIN_WORD_THRESHOLD:
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||||
word_count_threshold = MIN_WORD_THRESHOLD
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||||
|
||||
# Check cache first
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||||
cached = None
|
||||
extracted_content = None
|
||||
if not bypass_cache and not self.always_by_pass_cache:
|
||||
cached = get_cached_url(url)
|
||||
|
||||
if cached:
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||||
html = cached[1]
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||||
extracted_content = cached[2]
|
||||
if screenshot:
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screenshot = cached[9]
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|
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else:
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||||
if user_agent:
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self.crawler_strategy.update_user_agent(user_agent)
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html = self.crawler_strategy.crawl(url)
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||||
if screenshot:
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||||
screenshot = self.crawler_strategy.take_screenshot()
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||||
|
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return self.process_html(url, html, extracted_content, word_count_threshold, extraction_strategy, chunking_strategy, css_selector, screenshot, verbose, bool(cached), **kwargs)
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|
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def process_html(
|
||||
self,
|
||||
url: str,
|
||||
html: str,
|
||||
extracted_content: str,
|
||||
word_count_threshold: int,
|
||||
extraction_strategy: ExtractionStrategy,
|
||||
chunking_strategy: ChunkingStrategy,
|
||||
css_selector: str,
|
||||
screenshot: bool,
|
||||
verbose: bool,
|
||||
is_cached: bool,
|
||||
**kwargs,
|
||||
) -> CrawlResult:
|
||||
t = time.time()
|
||||
# Extract content from HTML
|
||||
try:
|
||||
result = get_content_of_website(url, html, word_count_threshold, css_selector=css_selector)
|
||||
metadata = extract_metadata(html)
|
||||
if result is None:
|
||||
raise ValueError(f"Failed to extract content from the website: {url}")
|
||||
except InvalidCSSSelectorError as e:
|
||||
raise ValueError(str(e))
|
||||
|
||||
cleaned_html = result.get("cleaned_html", "")
|
||||
markdown = result.get("markdown", "")
|
||||
media = result.get("media", [])
|
||||
links = result.get("links", [])
|
||||
|
||||
if verbose:
|
||||
print(f"[LOG] 🚀 Crawling done for {url}, success: True, time taken: {time.time() - t} seconds")
|
||||
|
||||
if extracted_content is None:
|
||||
if verbose:
|
||||
print(f"[LOG] 🔥 Extracting semantic blocks for {url}, Strategy: {extraction_strategy.name}")
|
||||
|
||||
sections = chunking_strategy.chunk(markdown)
|
||||
extracted_content = extraction_strategy.run(url, sections)
|
||||
extracted_content = json.dumps(extracted_content)
|
||||
|
||||
if verbose:
|
||||
print(f"[LOG] 🚀 Extraction done for {url}, time taken: {time.time() - t} seconds.")
|
||||
|
||||
screenshot = None if not screenshot else screenshot
|
||||
|
||||
if not is_cached:
|
||||
cache_url(
|
||||
url,
|
||||
html,
|
||||
cleaned_html,
|
||||
markdown,
|
||||
extracted_content,
|
||||
True,
|
||||
json.dumps(media),
|
||||
json.dumps(links),
|
||||
json.dumps(metadata),
|
||||
screenshot=screenshot,
|
||||
)
|
||||
|
||||
return CrawlResult(
|
||||
url=url,
|
||||
html=html,
|
||||
cleaned_html=cleaned_html,
|
||||
markdown=markdown,
|
||||
media=media,
|
||||
links=links,
|
||||
metadata=metadata,
|
||||
screenshot=screenshot,
|
||||
extracted_content=extracted_content,
|
||||
success=True,
|
||||
error_message="",
|
||||
)
|
||||
@@ -51,7 +51,6 @@ class WebCrawler:
|
||||
self.ready = True
|
||||
print("[LOG] 🌞 WebCrawler is ready to crawl")
|
||||
|
||||
|
||||
def fetch_page(
|
||||
self,
|
||||
url_model: UrlModel,
|
||||
@@ -78,131 +77,6 @@ class WebCrawler:
|
||||
)
|
||||
pass
|
||||
|
||||
|
||||
def run(
|
||||
self,
|
||||
url: str,
|
||||
word_count_threshold=MIN_WORD_THRESHOLD,
|
||||
extraction_strategy: ExtractionStrategy = None,
|
||||
chunking_strategy: ChunkingStrategy = RegexChunking(),
|
||||
bypass_cache: bool = False,
|
||||
css_selector: str = None,
|
||||
screenshot: bool = False,
|
||||
verbose=True,
|
||||
user_agent: str = None,
|
||||
**kwargs,
|
||||
) -> CrawlResult:
|
||||
if user_agent:
|
||||
self.crawler_strategy.update_user_agent(user_agent)
|
||||
extraction_strategy = extraction_strategy or NoExtractionStrategy()
|
||||
extraction_strategy.verbose = verbose
|
||||
# Check if extraction strategy is an instance of ExtractionStrategy if not raise an error
|
||||
if not isinstance(extraction_strategy, ExtractionStrategy):
|
||||
raise ValueError("Unsupported extraction strategy")
|
||||
if not isinstance(chunking_strategy, ChunkingStrategy):
|
||||
raise ValueError("Unsupported chunking strategy")
|
||||
|
||||
# make sure word_count_threshold is not lesser than MIN_WORD_THRESHOLD
|
||||
if word_count_threshold < MIN_WORD_THRESHOLD:
|
||||
word_count_threshold = MIN_WORD_THRESHOLD
|
||||
|
||||
# Check cache first
|
||||
if not bypass_cache and not self.always_by_pass_cache:
|
||||
cached = get_cached_url(url)
|
||||
if cached:
|
||||
return CrawlResult(
|
||||
**{
|
||||
"url": cached[0],
|
||||
"html": cached[1],
|
||||
"cleaned_html": cached[2],
|
||||
"markdown": cached[3],
|
||||
"extracted_content": cached[4],
|
||||
"success": cached[5],
|
||||
"media": json.loads(cached[6] or "{}"),
|
||||
"links": json.loads(cached[7] or "{}"),
|
||||
"metadata": json.loads(cached[8] or "{}"), # "metadata": "{}
|
||||
"screenshot": cached[9],
|
||||
"error_message": "",
|
||||
}
|
||||
)
|
||||
|
||||
# Initialize WebDriver for crawling
|
||||
t = time.time()
|
||||
if kwargs.get("js", None):
|
||||
self.crawler_strategy.js_code = kwargs.get("js")
|
||||
html = self.crawler_strategy.crawl(url)
|
||||
base64_image = None
|
||||
if screenshot:
|
||||
base64_image = self.crawler_strategy.take_screenshot()
|
||||
success = True
|
||||
error_message = ""
|
||||
# Extract content from HTML
|
||||
try:
|
||||
result = get_content_of_website(url, html, word_count_threshold, css_selector=css_selector)
|
||||
metadata = extract_metadata(html)
|
||||
if result is None:
|
||||
raise ValueError(f"Failed to extract content from the website: {url}")
|
||||
except InvalidCSSSelectorError as e:
|
||||
raise ValueError(str(e))
|
||||
|
||||
cleaned_html = result.get("cleaned_html", "")
|
||||
markdown = result.get("markdown", "")
|
||||
media = result.get("media", [])
|
||||
links = result.get("links", [])
|
||||
|
||||
# Print a profession LOG style message, show time taken and say crawling is done
|
||||
if verbose:
|
||||
print(
|
||||
f"[LOG] 🚀 Crawling done for {url}, success: {success}, time taken: {time.time() - t} seconds"
|
||||
)
|
||||
|
||||
extracted_content = []
|
||||
if verbose:
|
||||
print(f"[LOG] 🔥 Extracting semantic blocks for {url}, Strategy: {extraction_strategy.name}")
|
||||
t = time.time()
|
||||
# Split markdown into sections
|
||||
sections = chunking_strategy.chunk(markdown)
|
||||
# sections = merge_chunks_based_on_token_threshold(sections, CHUNK_TOKEN_THRESHOLD)
|
||||
|
||||
extracted_content = extraction_strategy.run(
|
||||
url, sections,
|
||||
)
|
||||
extracted_content = json.dumps(extracted_content)
|
||||
|
||||
if verbose:
|
||||
print(
|
||||
f"[LOG] 🚀 Extraction done for {url}, time taken: {time.time() - t} seconds."
|
||||
)
|
||||
|
||||
# Cache the result
|
||||
cleaned_html = beautify_html(cleaned_html)
|
||||
cache_url(
|
||||
url,
|
||||
html,
|
||||
cleaned_html,
|
||||
markdown,
|
||||
extracted_content,
|
||||
success,
|
||||
json.dumps(media),
|
||||
json.dumps(links),
|
||||
json.dumps(metadata),
|
||||
screenshot=base64_image,
|
||||
)
|
||||
|
||||
return CrawlResult(
|
||||
url=url,
|
||||
html=html,
|
||||
cleaned_html=cleaned_html,
|
||||
markdown=markdown,
|
||||
media=media,
|
||||
links=links,
|
||||
metadata=metadata,
|
||||
screenshot=base64_image,
|
||||
extracted_content=extracted_content,
|
||||
success=success,
|
||||
error_message=error_message,
|
||||
)
|
||||
|
||||
def fetch_pages(
|
||||
self,
|
||||
url_models: List[UrlModel],
|
||||
@@ -241,8 +115,7 @@ class WebCrawler:
|
||||
|
||||
return results
|
||||
|
||||
|
||||
def run_less_db(
|
||||
def run(
|
||||
self,
|
||||
url: str,
|
||||
word_count_threshold=MIN_WORD_THRESHOLD,
|
||||
@@ -251,6 +124,7 @@ class WebCrawler:
|
||||
bypass_cache: bool = False,
|
||||
css_selector: str = None,
|
||||
screenshot: bool = False,
|
||||
user_agent: str = None,
|
||||
verbose=True,
|
||||
**kwargs,
|
||||
) -> CrawlResult:
|
||||
@@ -273,11 +147,17 @@ class WebCrawler:
|
||||
if cached:
|
||||
html = cached[1]
|
||||
extracted_content = cached[2]
|
||||
else:
|
||||
html = self.crawler_strategy.crawl(url)
|
||||
cache_url(url, html)
|
||||
if screenshot:
|
||||
screenshot = cached[9]
|
||||
|
||||
return self.process_html(url, html, extracted_content, word_count_threshold, extraction_strategy, chunking_strategy, css_selector, screenshot, verbose, **kwargs)
|
||||
else:
|
||||
if user_agent:
|
||||
self.crawler_strategy.update_user_agent(user_agent)
|
||||
html = self.crawler_strategy.crawl(url)
|
||||
if screenshot:
|
||||
screenshot = self.crawler_strategy.take_screenshot()
|
||||
|
||||
return self.process_html(url, html, extracted_content, word_count_threshold, extraction_strategy, chunking_strategy, css_selector, screenshot, verbose, bool(cached), **kwargs)
|
||||
|
||||
def process_html(
|
||||
self,
|
||||
@@ -290,16 +170,14 @@ class WebCrawler:
|
||||
css_selector: str,
|
||||
screenshot: bool,
|
||||
verbose: bool,
|
||||
is_cached: bool,
|
||||
**kwargs,
|
||||
) -> CrawlResult:
|
||||
t = time.time()
|
||||
base64_image = None
|
||||
if screenshot:
|
||||
base64_image = self.crawler_strategy.take_screenshot()
|
||||
|
||||
# Extract content from HTML
|
||||
try:
|
||||
result = get_content_of_website(url, html, word_count_threshold, css_selector=css_selector)
|
||||
metadata = extract_metadata(html)
|
||||
if result is None:
|
||||
raise ValueError(f"Failed to extract content from the website: {url}")
|
||||
except InvalidCSSSelectorError as e:
|
||||
@@ -312,20 +190,33 @@ class WebCrawler:
|
||||
|
||||
if verbose:
|
||||
print(f"[LOG] 🚀 Crawling done for {url}, success: True, time taken: {time.time() - t} seconds")
|
||||
|
||||
if verbose:
|
||||
print(f"[LOG] 🔥 Extracting semantic blocks for {url}, Strategy: {extraction_strategy.name}")
|
||||
|
||||
sections = chunking_strategy.chunk(markdown)
|
||||
|
||||
|
||||
if extracted_content is None:
|
||||
if verbose:
|
||||
print(f"[LOG] 🔥 Extracting semantic blocks for {url}, Strategy: {extraction_strategy.name}")
|
||||
|
||||
sections = chunking_strategy.chunk(markdown)
|
||||
extracted_content = extraction_strategy.run(url, sections)
|
||||
extracted_content = json.dumps(extracted_content)
|
||||
# Cache the extracted content
|
||||
cache_url(url, html, extracted_content)
|
||||
|
||||
if verbose:
|
||||
print(f"[LOG] 🚀 Extraction done for {url}, time taken: {time.time() - t} seconds.")
|
||||
if verbose:
|
||||
print(f"[LOG] 🚀 Extraction done for {url}, time taken: {time.time() - t} seconds.")
|
||||
|
||||
screenshot = None if not screenshot else screenshot
|
||||
|
||||
if not is_cached:
|
||||
cache_url(
|
||||
url,
|
||||
html,
|
||||
cleaned_html,
|
||||
markdown,
|
||||
extracted_content,
|
||||
True,
|
||||
json.dumps(media),
|
||||
json.dumps(links),
|
||||
json.dumps(metadata),
|
||||
screenshot=screenshot,
|
||||
)
|
||||
|
||||
return CrawlResult(
|
||||
url=url,
|
||||
@@ -334,7 +225,8 @@ class WebCrawler:
|
||||
markdown=markdown,
|
||||
media=media,
|
||||
links=links,
|
||||
screenshot=base64_image,
|
||||
metadata=metadata,
|
||||
screenshot=screenshot,
|
||||
extracted_content=extracted_content,
|
||||
success=True,
|
||||
error_message="",
|
||||
|
||||
Reference in New Issue
Block a user