from crawler import Crawler
from indexer import Indexer
from query_processor import QuerryProcessor
from document import Document
from time import sleep
if __name__ == '__main__':
# sleep(5.0)
# print("THREAD-TIME!")
crawler = Crawler('https://www.in.gr', 20, 5, True, 'BFS')
crawler.initializeCrawl()
ind = Indexer(Crawler.documents)
query = input("Enter your search query:")
ind.add_document(Document('search_query', query))
print('Building Indexer...')
ind.create_indexer()
print('Calculating TF-IDFs. May take a while.')
ind.calculate_scores()
qp = QuerryProcessor(ind.inverted_index, len(ind.documents))
docs_with_cos_ = qp.compare_documents()
docs_with_cos_ = sorted(
docs_with_cos_, key=lambda x: x[1],
reverse=True) # sorting based on cosine similarity scores
print(f'Showing top results based on your query "{query}":')
for doc in docs_with_cos_:
print(doc[0].link)
frontier = Frontier([
'http://mysql12.f4.htw-berlin.de/crawl/d01.html',
'http://mysql12.f4.htw-berlin.de/crawl/d06.html',
'http://mysql12.f4.htw-berlin.de/crawl/d08.html'
])
parser = Parser()
indexer = Indexer()
web_graph = Graph()
for url in frontier:
# get outgoing links for the graph and content for tokenization
body, links_on_page = parser.parse(url)
# add document to indexer
indexer.add_document(url, body)
# build our webgraph
node = web_graph.get_node(url)
if node is None:
node = web_graph.add_node(url)
for out_link in links_on_page:
web_graph.add_edge(url, out_link)
# hand links to the frontier to make sure they are all crawled
frontier.add_urls(links_on_page)
# for node in web_graph:
# print(node)
#
