forked from mirrors/bookwyrm
66 lines
2.3 KiB
Python
66 lines
2.3 KiB
Python
''' search views'''
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import re
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from django.contrib.postgres.search import TrigramSimilarity
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from django.db.models.functions import Greatest
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from django.http import JsonResponse
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from django.template.response import TemplateResponse
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from django.views import View
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from bookwyrm import models
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from bookwyrm.connectors import connector_manager
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from bookwyrm.utils import regex
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from .helpers import is_api_request, privacy_filter
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from .helpers import handle_remote_webfinger
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# pylint: disable= no-self-use
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class Search(View):
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''' search users or books '''
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def get(self, request):
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''' that search bar up top '''
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query = request.GET.get('q')
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min_confidence = request.GET.get('min_confidence', 0.1)
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if is_api_request(request):
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# only return local book results via json so we don't cascade
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book_results = connector_manager.local_search(
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query, min_confidence=min_confidence)
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return JsonResponse([r.json() for r in book_results], safe=False)
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# use webfinger for mastodon style account@domain.com username
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if re.match(r'\B%s' % regex.full_username, query):
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handle_remote_webfinger(query)
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# do a user search
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user_results = models.User.viewer_aware_objects(request.user).annotate(
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similarity=Greatest(
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TrigramSimilarity('username', query),
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TrigramSimilarity('localname', query),
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)
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).filter(
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similarity__gt=0.5,
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).order_by('-similarity')[:10]
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# any relevent lists?
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list_results = privacy_filter(
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request.user, models.List.objects, ['public', 'followers']
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).annotate(
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similarity=Greatest(
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TrigramSimilarity('name', query),
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TrigramSimilarity('description', query),
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)
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).filter(
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similarity__gt=0.1,
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).order_by('-similarity')[:10]
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book_results = connector_manager.search(
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query, min_confidence=min_confidence)
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data = {
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'title': 'Search Results',
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'book_results': book_results,
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'user_results': user_results,
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'list_results': list_results,
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'query': query,
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}
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return TemplateResponse(request, 'search_results.html', data)
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