171 lines
5.1 KiB
Python
171 lines
5.1 KiB
Python
import pymongo
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import trafilatura
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import trafilatura.feeds
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import trafilatura.sitemaps
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import trafilatura.spider
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import sys
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import courlan
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def calculate_checksums(text):
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"""
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@return fingerprints of a paragraphs in text. Paragraphs are separated by a blank line
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"""
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checksums = []
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sizes = []
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hval = 0
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hsz = 0
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sz = 0
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for c in text:
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cv = ord(c)
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sz += 1
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if cv > 64:
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hval += (hval << 3) + cv
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zv = hval >> 31
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hval &= 0x7fffffff
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hval += zv
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hsz += 1
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if c == "\n" and hsz > 0:
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if hsz > 100:
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checksums.append(hval)
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sizes.append(sz)
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sz = 0
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hsz = 0
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if hsz > 100:
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checksums.append(hval)
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sizes.append(sz)
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return checksums, sizes
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def filter_links(links):
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out = set()
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for link in links:
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r = courlan.check_url(link)
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if r is None:
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continue
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llink,ldomain = r
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print(llink,ldomain)
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# domain rules
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if not ldomain.endswith("sk"):
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print("bad domain")
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continue
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if courlan.is_not_crawlable(llink):
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print("not crawlable")
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continue
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out.add(llink)
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return out
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def get_link_doc(link,status="frontlink"):
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r = courlan.check_url(link)
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assert r is not None
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link,host = r
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domain = extract_domain(link)
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return {"url":link,"host":host,"domain":domain,"status":status}
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def generic_visit(domain):
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known_links = set(get_visited_links(domain))
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visit_links = []
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visit_links = trafilatura.find_feed_urls(domain)
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if visit_links is None:
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visit_links = trafilatura.sitemap_search(domain)
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if visit_links is None:
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visit_links = trafilatura.focused_crawler(dommain,known_links=known_links)
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def fetch_pages(link_batch):
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htmls = []
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print(link_batch)
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print("zzzzzzzzzz")
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for link in link_batch:
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print("fetching:::::")
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print(link)
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htmls.append(trafilatura.fetch_url(link))
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return htmls
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def fetch_front_links(start_link):
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known_links = []
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visit_links,known_links = trafilatura.spider.focused_crawler(start_link,known_links=known_links)
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filtered_links = filter_links(visit_links)
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return filtered_links
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def extract_pages(link_batch,htmls):
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out = []
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for link,response in zip(link_batch,responses):
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doc = None
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assert link is not None
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html = trafilatura.util.decode_response(response.data)
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if html is not None:
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doc = trafilatura.bare_extraction(html,url=link,with_metadata=True,include_formatting=True,target_language="sk")
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out.append((link,response.url,html,doc))
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return out
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def index_pages(db,domain,extracted_pages):
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extracted_links = set()
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linkcol = db["links"]
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htmlcol = db["html"]
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contentcol = db["content"]
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for link,html,doc in extracted_pages:
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state = "good"
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if html is None:
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state = "html_error"
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elif doc is None:
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state = "content_error"
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if html is not None:
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htmlcol.insert_one({"url":link,"html":html})
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if doc is not None:
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print(doc)
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checksums,sizes = calculate_checksums(doc["text"])
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doc["paragraph_checksums"] = checksums
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doc["paragraph_sizes"] = sizes
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if "links" in doc:
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extracted_links.union(doc["links"])
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del doc["links"]
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contentcol.insert_one(doc)
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doc = get_link_doc(link,state)
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linkcol.replace_one({"url":link},doc,upsert=True)
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filtered_links = filter_links(extracted_links)
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for llink in filtered_links:
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doc = get_link_doc(link,"backlink")
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linkcol.insert_one(doc,upsert=True)
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def get_links(db,domain,status,batch_size=100):
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linkcol = db["links"]
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res = linkcol.find({"status":status,"domain":domain},limit=batch_size)
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front_links = []
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for doc in res:
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front_links.append(doc["url"])
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return filter_links(front_links)
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def index_front_links(db,filtered_links):
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linkcol = db["links"]
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for link in filtered_links:
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linkcol.insert_one(get_link_doc(link,"frontlink"))
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#visit_links = trafilatura.feeds.find_feed_urls(domain)
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#visit_links = trafilatura.sitemaps.sitemap_search(domain)
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#print(visit_links)
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#for link in visit_links:
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# content = trafilatura.fetch_url(link,decode=True)
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# document = trafilatura.bare_extraction(content)
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# print(content)
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def simple_visit(start_link):
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start_link,domain = courlan.check_url(start_link)
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myclient = pymongo.MongoClient("mongodb://root:example@localhost:27017/")
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db=myclient["crawler"]
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new_front_links = fetch_front_links(start_link)
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print("NEW FRONT LINKS")
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print(new_front_links)
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index_front_links(db,new_front_links)
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visit_links = get_links(db,"frontlink",domain)
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print("NEW VISIT LINKS")
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print(visit_links)
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responses = fetch_pages(visit_links)
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extracted_pages = extract_pages(visit_links,htmls)
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index_pages(db,domain,extracted_pages)
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simple_visit(sys.argv[1])
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