2021-03-08 16:49:10 +00:00
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""" search views"""
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2021-01-13 20:03:27 +00:00
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import re
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from django.contrib.postgres.search import TrigramSimilarity
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2021-05-01 17:47:01 +00:00
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from django.core.paginator import Paginator
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2021-01-13 20:03:27 +00:00
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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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2021-05-01 17:47:01 +00:00
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from bookwyrm.settings import PAGE_LENGTH
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2021-01-13 20:03:27 +00:00
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from bookwyrm.utils import regex
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2021-02-01 19:50:47 +00:00
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from .helpers import is_api_request, privacy_filter
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2021-01-13 20:03:27 +00:00
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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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2021-04-26 16:15:42 +00:00
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"""search users or books"""
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2021-03-08 16:49:10 +00:00
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2021-05-01 01:59:02 +00:00
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def get(self, request):
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2021-04-26 16:15:42 +00:00
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"""that search bar up top"""
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2021-03-08 16:49:10 +00:00
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query = request.GET.get("q")
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2021-06-24 00:41:29 +00:00
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min_confidence = request.GET.get("min_confidence", 0)
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2021-05-01 01:59:02 +00:00
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search_type = request.GET.get("type")
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2021-05-01 03:08:05 +00:00
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search_remote = (
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request.GET.get("remote", False) and request.user.is_authenticated
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)
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2021-01-13 20:03:27 +00:00
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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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2021-03-08 16:49:10 +00:00
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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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2021-05-20 23:34:32 +00:00
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if query and not search_type:
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2021-05-01 01:59:02 +00:00
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search_type = "user" if "@" in query else "book"
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endpoints = {
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"book": book_search,
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"user": user_search,
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"list": list_search,
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}
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if not search_type in endpoints:
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search_type = "book"
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2021-05-01 02:19:10 +00:00
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data = {
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"query": query or "",
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"type": search_type,
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"remote": search_remote,
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}
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if query:
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results, search_remote = endpoints[search_type](
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query, request.user, min_confidence, search_remote
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)
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2021-05-02 05:20:23 +00:00
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if results:
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paginated = Paginator(results, PAGE_LENGTH).get_page(
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request.GET.get("page")
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)
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data["results"] = paginated
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data["remote"] = search_remote
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2021-05-01 01:35:09 +00:00
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2021-05-01 02:19:10 +00:00
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return TemplateResponse(request, "search/{:s}.html".format(search_type), data)
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2021-05-01 01:06:30 +00:00
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2021-05-01 02:56:29 +00:00
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def book_search(query, _, min_confidence, search_remote=False):
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"""the real business is elsewhere"""
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2021-07-28 20:29:24 +00:00
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# try a local-only search
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if not search_remote:
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results = connector_manager.local_search(query, min_confidence=min_confidence)
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if results:
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# gret, we found something
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return [{"results": results}], False
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# if there weere no local results, or the request was for remote, search all sources
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return connector_manager.search(query, min_confidence=min_confidence), True
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2021-05-01 01:06:30 +00:00
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2021-05-01 02:56:29 +00:00
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def user_search(query, viewer, *_):
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"""cool kids members only user search"""
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# logged out viewers can't search users
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if not viewer.is_authenticated:
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return models.User.objects.none()
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# use webfinger for mastodon style account@domain.com username to load the user if
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# they don't exist locally (handle_remote_webfinger will check the db)
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2021-06-18 21:12:56 +00:00
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if re.match(regex.FULL_USERNAME, query):
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handle_remote_webfinger(query)
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2021-05-01 02:19:10 +00:00
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return (
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models.User.viewer_aware_objects(viewer)
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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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2021-03-08 16:49:10 +00:00
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)
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2021-05-01 02:19:10 +00:00
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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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2021-07-28 20:52:16 +00:00
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), None
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2021-05-01 01:06:30 +00:00
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2021-01-13 20:03:27 +00:00
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2021-05-01 02:56:29 +00:00
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def list_search(query, viewer, *_):
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2021-05-01 01:06:30 +00:00
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"""any relevent lists?"""
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2021-05-01 02:19:10 +00:00
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return (
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privacy_filter(
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viewer,
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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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2021-02-01 19:50:47 +00:00
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)
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2021-05-01 02:19:10 +00:00
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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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2021-07-28 20:52:16 +00:00
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), None
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