File size: 3,287 Bytes
325b94c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
# from crewai.tools import BaseTool
# from typing import Literal

# from crawlee.crawlers import PlaywrightCrawler, PlaywrightCrawlingContext
# from crawlee.http_clients import HttpxHttpClient
# import fitz
# import asyncio
# import tempfile
# import os
# from urllib.parse import urlparse


# class WebScrapingCrawleeTool(BaseTool):
#     name: Literal["web_scraping_crawlee_tool"]
#     description: str = (
#         "Scrapes Arabic/English content from webpages using Crawlee PlaywrightCrawler "
#         "or extracts readable text from PDF files. Returns a dictionary: "
#         "page_url, title, content, img_url, video_url, audio_url, pdf_url."
#     )

#     async def scrape_with_crawlee(self, target_url):
#         crawler = PlaywrightCrawler()
#         extracted_data = {}

#         @crawler.router.default_handler
#         async def default_handler(context: PlaywrightCrawlingContext) -> None:
#             page = context.page
#             title = await page.title()
#             content = await page.content()
#             images = await page.eval_on_selector_all(
#                 "img", "els => els.map(e => e.src)"
#             )
#             videos = await page.eval_on_selector_all(
#                 "video", "els => els.map(e => e.src)"
#             )
#             audios = await page.eval_on_selector_all(
#                 "audio", "els => els.map(e => e.src)"
#             )
#             pdfs = await page.eval_on_selector_all(
#                 "a[href$='.pdf']", "els => els.map(e => e.href)"
#             )

#             extracted_data.update(
#                 {
#                     "title": title,
#                     "content": content,
#                     "img_url": images,
#                     "video_url": videos,
#                     "audio_url": audios,
#                     "pdf_url": pdfs,
#                 }
#             )

#         await crawler.run([target_url])
#         return extracted_data

#     def extract_pdf_text(self, pdf_url):
#         http = HttpxHttpClient()
#         response = http.get(pdf_url)
#         with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as tmp:
#             tmp.write(response.content)
#             tmp_path = tmp.name
#         text = ""
#         with fitz.open(tmp_path) as doc:
#             for page in doc:
#                 text += page.get_text("text")
#         os.remove(tmp_path)
#         return text.strip()

#     def _run(self, url: str) -> dict:
#         try:
#             parsed = urlparse(url)
#             if parsed.path.lower().endswith(".pdf"):
#                 content = self.extract_pdf_text(url)
#                 return {
#                     "page_url": url,
#                     "title": os.path.basename(parsed.path),
#                     "content": content,
#                     "img_url": [],
#                     "video_url": [],
#                     "audio_url": [],
#                     "pdf_url": [url],
#                 }
#             scraped_data = asyncio.run(self.scrape_with_crawlee(url))
#             return {"page_url": url, **scraped_data}
#         except Exception as e:
#             return {"error": str(e), "page_url": url}

#     async def _arun(self, url: str) -> dict:
#         return self._run(url)