94 lines
2.7 KiB
Python
94 lines
2.7 KiB
Python
from django.contrib.auth.models import User
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from django.db.models import Q, Count, Aggregate, CharField, Value, BooleanField
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from bookmarks.models import Bookmark, Tag
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class Concat(Aggregate):
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function = 'GROUP_CONCAT'
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template = '%(function)s(%(distinct)s%(expressions)s)'
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def __init__(self, expression, distinct=False, **extra):
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super(Concat, self).__init__(
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expression,
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distinct='DISTINCT ' if distinct else '',
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output_field=CharField(),
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**extra)
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def query_bookmarks(user: User, query_string: str):
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# Add aggregated tag info to bookmark instances
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query_set = Bookmark.objects \
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.annotate(tag_count=Count('tags'),
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tag_string=Concat('tags__name'),
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tag_projection=Value(True, BooleanField()))
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# Filter for user
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query_set = query_set.filter(owner=user)
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# Split query into search terms and tags
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query = _parse_query_string(query_string)
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# Filter for search terms and tags
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for term in query['search_terms']:
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query_set = query_set.filter(
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Q(title__contains=term)
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| Q(description__contains=term)
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| Q(website_title__contains=term)
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| Q(website_description__contains=term)
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)
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for tag_name in query['tag_names']:
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query_set = query_set.filter(
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tags__name=tag_name
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)
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# Sort by modification date
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query_set = query_set.order_by('-date_modified')
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return query_set
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def query_tags(user: User, query_string: str):
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query_set = Tag.objects
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# Filter for user
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query_set = query_set.filter(owner=user)
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# Split query into search terms and tags
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query = _parse_query_string(query_string)
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# Filter for search terms and tags
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for term in query['search_terms']:
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query_set = query_set.filter(
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Q(bookmark__title__contains=term)
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| Q(bookmark__description__contains=term)
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| Q(bookmark__website_title__contains=term)
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| Q(bookmark__website_description__contains=term)
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)
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for tag_name in query['tag_names']:
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query_set = query_set.filter(
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bookmark__tags__name=tag_name
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)
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return query_set.distinct()
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def _parse_query_string(query_string):
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# Sanitize query params
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if not query_string:
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query_string = ''
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# Split query into search terms and tags
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keywords = query_string.strip().split(' ')
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keywords = [word for word in keywords if word]
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search_terms = [word for word in keywords if word[0] != '#']
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tag_names = [word[1:] for word in keywords if word[0] == '#']
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return {
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'search_terms': search_terms,
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'tag_names': tag_names,
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}
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