mirror of
https://github.com/sissbruecker/linkding
synced 2024-11-10 06:04:15 +00:00
92 lines
2.6 KiB
Python
92 lines
2.6 KiB
Python
from django.contrib.auth.models import User
|
|
from django.db.models import Q, Count, Aggregate, CharField
|
|
|
|
from bookmarks.models import Bookmark, Tag
|
|
|
|
|
|
class Concat(Aggregate):
|
|
function = 'GROUP_CONCAT'
|
|
template = '%(function)s(%(distinct)s%(expressions)s)'
|
|
|
|
def __init__(self, expression, distinct=False, **extra):
|
|
super(Concat, self).__init__(
|
|
expression,
|
|
distinct='DISTINCT ' if distinct else '',
|
|
output_field=CharField(),
|
|
**extra)
|
|
|
|
|
|
def query_bookmarks(user: User, query_string: str):
|
|
# Add aggregated tag info to bookmark instances
|
|
query_set = Bookmark.objects \
|
|
.annotate(tag_count=Count('tags'),
|
|
tag_string=Concat('tags__name'))
|
|
|
|
# Filter for user
|
|
query_set = query_set.filter(owner=user)
|
|
|
|
# Split query into search terms and tags
|
|
query = _parse_query_string(query_string)
|
|
|
|
# Filter for search terms and tags
|
|
for term in query['search_terms']:
|
|
query_set = query_set.filter(
|
|
Q(title__contains=term)
|
|
| Q(description__contains=term)
|
|
| Q(website_title__contains=term)
|
|
| Q(website_description__contains=term)
|
|
)
|
|
|
|
for tag_name in query['tag_names']:
|
|
query_set = query_set.filter(
|
|
tags__name=tag_name
|
|
)
|
|
|
|
# Sort by modification date
|
|
query_set = query_set.order_by('-date_modified')
|
|
|
|
return query_set
|
|
|
|
|
|
def query_tags(user: User, query_string: str):
|
|
query_set = Tag.objects;
|
|
|
|
# Filter for user
|
|
query_set = query_set.filter(owner=user)
|
|
|
|
# Split query into search terms and tags
|
|
query = _parse_query_string(query_string)
|
|
|
|
# Filter for search terms and tags
|
|
for term in query['search_terms']:
|
|
query_set = query_set.filter(
|
|
Q(bookmark__title__contains=term)
|
|
| Q(bookmark__description__contains=term)
|
|
| Q(bookmark__website_title__contains=term)
|
|
| Q(bookmark__website_description__contains=term)
|
|
)
|
|
|
|
for tag_name in query['tag_names']:
|
|
query_set = query_set.filter(
|
|
bookmark__tags__name=tag_name
|
|
)
|
|
|
|
return query_set.distinct()
|
|
|
|
|
|
def _parse_query_string(query_string):
|
|
# Sanitize query params
|
|
if not query_string:
|
|
query_string = ''
|
|
|
|
# Split query into search terms and tags
|
|
keywords = query_string.strip().split(' ')
|
|
keywords = [word for word in keywords if word]
|
|
|
|
search_terms = [word for word in keywords if word[0] != '#']
|
|
tag_names = [word[1:] for word in keywords if word[0] == '#']
|
|
|
|
return {
|
|
'search_terms': search_terms,
|
|
'tag_names': tag_names,
|
|
}
|