mirror of
https://github.com/bookwyrm-social/bookwyrm.git
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79 lines
2.5 KiB
Python
79 lines
2.5 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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)
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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 query and re.match(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 = (
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models.User.viewer_aware_objects(request.user)
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.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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)
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.filter(
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similarity__gt=0.5,
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)
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.order_by("-similarity")[:10]
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)
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# any relevent lists?
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list_results = (
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privacy_filter(
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request.user,
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models.List.objects,
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privacy_levels=["public", "followers"],
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)
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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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)
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.filter(
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similarity__gt=0.1,
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)
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.order_by("-similarity")[:10]
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)
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book_results = connector_manager.search(query, min_confidence=min_confidence)
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data = {
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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 or "",
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}
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return TemplateResponse(request, "search_results.html", data)
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