67 lines
2.5 KiB
Python
67 lines
2.5 KiB
Python
import justext
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import requests
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from django.contrib.auth.decorators import login_required
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from django.shortcuts import render
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from mwmbl.format import format_result
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from mwmbl.search_setup import ranker
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from justext.core import html_to_dom, ParagraphMaker, classify_paragraphs, revise_paragraph_classification, \
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LENGTH_LOW_DEFAULT, STOPWORDS_LOW_DEFAULT, MAX_LINK_DENSITY_DEFAULT, NO_HEADINGS_DEFAULT, LENGTH_HIGH_DEFAULT, \
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STOPWORDS_HIGH_DEFAULT, MAX_HEADING_DISTANCE_DEFAULT, DEFAULT_ENCODING, DEFAULT_ENC_ERRORS, preprocessor
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from mwmbl.settings import NUM_EXTRACT_CHARS
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from mwmbl.tinysearchengine.indexer import Document
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def justext_with_dom(html_text, stoplist, length_low=LENGTH_LOW_DEFAULT,
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length_high=LENGTH_HIGH_DEFAULT, stopwords_low=STOPWORDS_LOW_DEFAULT,
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stopwords_high=STOPWORDS_HIGH_DEFAULT, max_link_density=MAX_LINK_DENSITY_DEFAULT,
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max_heading_distance=MAX_HEADING_DISTANCE_DEFAULT, no_headings=NO_HEADINGS_DEFAULT,
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encoding=None, default_encoding=DEFAULT_ENCODING,
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enc_errors=DEFAULT_ENC_ERRORS):
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"""
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Converts an HTML page into a list of classified paragraphs. Each paragraph
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is represented as instance of class ˙˙justext.paragraph.Paragraph˙˙.
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"""
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dom = html_to_dom(html_text, default_encoding, encoding, enc_errors)
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titles = dom.xpath("//title")
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title = titles[0].text if len(titles) > 0 else None
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dom = preprocessor(dom)
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paragraphs = ParagraphMaker.make_paragraphs(dom)
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classify_paragraphs(paragraphs, stoplist, length_low, length_high,
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stopwords_low, stopwords_high, max_link_density, no_headings)
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revise_paragraph_classification(paragraphs, max_heading_distance)
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return paragraphs, title
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@login_required
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def profile(request):
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return render(request, 'profile.html')
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def search_results(request):
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query = request.GET["query"]
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results = ranker.search(query)
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return render(request, "results.html", {"results": results})
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def fetch_url(request):
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url = request.GET["url"]
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query = request.GET["query"]
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response = requests.get(url)
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paragraphs, title = justext_with_dom(response.content, justext.get_stoplist("English"))
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good_paragraphs = [p for p in paragraphs if p.class_type == 'good']
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extract = ' '.join([p.text for p in good_paragraphs])
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if len(extract) > NUM_EXTRACT_CHARS:
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extract = extract[:NUM_EXTRACT_CHARS - 1] + '…'
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result = Document(title=title, url=url, extract=extract, score=0.0)
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return render(request, "results.html", {"results": [format_result(result, query)]})
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