TandoorRecipes/cookbook/helper/recipe_search.py

622 lines
30 KiB
Python

from collections import Counter
from datetime import timedelta
from django.contrib.postgres.search import SearchQuery, SearchRank, TrigramSimilarity
from django.core.cache import caches
from django.db.models import Avg, Case, Count, Func, Max, OuterRef, Q, Subquery, Value, When
from django.db.models.functions import Coalesce, Substr
from django.utils import timezone, translation
from cookbook.filters import RecipeFilter
from cookbook.helper.HelperFunctions import Round, str2bool
from cookbook.helper.permission_helper import has_group_permission
from cookbook.managers import DICTIONARY
from cookbook.models import Food, Keyword, Recipe, SearchPreference, ViewLog
from recipes import settings
# TODO create extensive tests to make sure ORs ANDs and various filters, sorting, etc work as expected
# TODO consider creating a simpleListRecipe API that only includes minimum of recipe info and minimal filtering
def search_recipes(request, queryset, params):
if request.user.is_authenticated:
search_prefs = request.user.searchpreference
else:
search_prefs = SearchPreference()
search_string = params.get('query', '').strip()
search_rating = int(params.get('rating', 0))
search_keywords = params.getlist('keywords', [])
search_foods = params.getlist('foods', [])
search_books = params.getlist('books', [])
search_steps = params.getlist('steps', [])
search_units = params.get('units', None)
search_keywords_or = str2bool(params.get('keywords_or', True))
search_foods_or = str2bool(params.get('foods_or', True))
search_books_or = str2bool(params.get('books_or', True))
search_internal = str2bool(params.get('internal', False))
search_random = str2bool(params.get('random', False))
search_new = str2bool(params.get('new', False))
search_last_viewed = int(params.get('last_viewed', 0)) # not included in schema currently?
orderby = []
# only sort by recent not otherwise filtering/sorting
if search_last_viewed > 0:
last_viewed_recipes = ViewLog.objects.filter(
created_by=request.user, space=request.space,
created_at__gte=timezone.now() - timedelta(days=14) # TODO make recent days a setting
).order_by('-pk').values_list('recipe__pk', flat=True)
last_viewed_recipes = list(dict.fromkeys(last_viewed_recipes))[:search_last_viewed] # removes duplicates from list prior to slicing
# return queryset.annotate(last_view=Max('viewlog__pk')).annotate(new=Case(When(pk__in=last_viewed_recipes, then=('last_view')), default=Value(0))).filter(new__gt=0).order_by('-new')
# queryset that only annotates most recent view (higher pk = lastest view)
queryset = queryset.annotate(recent=Coalesce(Max(Case(When(viewlog__created_by=request.user, then='viewlog__pk'))), Value(0)))
orderby += ['-recent']
# TODO create setting for default ordering - most cooked, rating,
# TODO create options for live sorting
# TODO make days of new recipe a setting
if search_new:
queryset = (
queryset.annotate(new_recipe=Case(
When(created_at__gte=(timezone.now() - timedelta(days=7)), then=('pk')), default=Value(0), ))
)
# only sort by new recipes if not otherwise filtering/sorting
orderby += ['-new_recipe']
search_type = search_prefs.search or 'plain'
if len(search_string) > 0:
unaccent_include = search_prefs.unaccent.values_list('field', flat=True)
icontains_include = [x + '__unaccent' if x in unaccent_include else x for x in search_prefs.icontains.values_list('field', flat=True)]
istartswith_include = [x + '__unaccent' if x in unaccent_include else x for x in search_prefs.istartswith.values_list('field', flat=True)]
trigram_include = [x + '__unaccent' if x in unaccent_include else x for x in search_prefs.trigram.values_list('field', flat=True)]
fulltext_include = search_prefs.fulltext.values_list('field', flat=True) # fulltext doesn't use field name directly
# if no filters are configured use name__icontains as default
if len(icontains_include) + len(istartswith_include) + len(trigram_include) + len(fulltext_include) == 0:
filters = [Q(**{"name__icontains": search_string})]
else:
filters = []
# dynamically build array of filters that will be applied
for f in icontains_include:
filters += [Q(**{"%s__icontains" % f: search_string})]
for f in istartswith_include:
filters += [Q(**{"%s__istartswith" % f: search_string})]
if settings.DATABASES['default']['ENGINE'] in ['django.db.backends.postgresql_psycopg2', 'django.db.backends.postgresql']:
language = DICTIONARY.get(translation.get_language(), 'simple')
# django full text search https://docs.djangoproject.com/en/3.2/ref/contrib/postgres/search/#searchquery
# TODO can options install this extension to further enhance search query language https://github.com/caub/pg-tsquery
# trigram breaks full text search 'websearch' and 'raw' capabilities and will be ignored if those methods are chosen
if search_type in ['websearch', 'raw']:
search_trigram = False
else:
search_trigram = True
search_query = SearchQuery(
search_string,
search_type=search_type,
config=language,
)
# iterate through fields to use in trigrams generating a single trigram
if search_trigram and len(trigram_include) > 0:
trigram = None
for f in trigram_include:
if trigram:
trigram += TrigramSimilarity(f, search_string)
else:
trigram = TrigramSimilarity(f, search_string)
queryset = queryset.annotate(similarity=trigram)
filters += [Q(similarity__gt=search_prefs.trigram_threshold)]
if 'name' in fulltext_include:
filters += [Q(name_search_vector=search_query)]
if 'description' in fulltext_include:
filters += [Q(desc_search_vector=search_query)]
if 'instructions' in fulltext_include:
filters += [Q(steps__search_vector=search_query)]
if 'keywords' in fulltext_include:
filters += [Q(keywords__in=Subquery(Keyword.objects.filter(name__search=search_query).values_list('id', flat=True)))]
if 'foods' in fulltext_include:
filters += [Q(steps__ingredients__food__in=Subquery(Food.objects.filter(name__search=search_query).values_list('id', flat=True)))]
query_filter = None
for f in filters:
if query_filter:
query_filter |= f
else:
query_filter = f
# TODO add order by user settings - only do search rank and annotation if rank order is configured
search_rank = (
SearchRank('name_search_vector', search_query, cover_density=True)
+ SearchRank('desc_search_vector', search_query, cover_density=True)
+ SearchRank('steps__search_vector', search_query, cover_density=True)
)
queryset = queryset.filter(query_filter).annotate(rank=search_rank)
orderby += ['-rank']
else:
queryset = queryset.filter(name__icontains=search_string)
if len(search_keywords) > 0:
if search_keywords_or:
# TODO creating setting to include descendants of keywords a setting
# for kw in Keyword.objects.filter(pk__in=search_keywords):
# search_keywords += list(kw.get_descendants().values_list('pk', flat=True))
for kw in Keyword.objects.filter(pk__in=search_keywords):
search_keywords = [*search_keywords, *list(kw.get_descendants_and_self().values_list('pk', flat=True))]
queryset = queryset.filter(keywords__id__in=search_keywords)
else:
# when performing an 'and' search returned recipes should include a parent OR any of its descedants
# AND other keywords selected so filters are appended using keyword__id__in the list of keywords and descendants
for kw in Keyword.objects.filter(pk__in=search_keywords):
queryset = queryset.filter(keywords__id__in=list(kw.get_descendants_and_self().values_list('pk', flat=True)))
if len(search_foods) > 0:
if search_foods_or:
# TODO creating setting to include descendants of food a setting
for fd in Food.objects.filter(pk__in=search_foods):
search_foods = [*search_foods, *list(fd.get_descendants_and_self().values_list('pk', flat=True))]
queryset = queryset.filter(steps__ingredients__food__id__in=search_foods)
else:
# when performing an 'and' search returned recipes should include a parent OR any of its descedants
# AND other foods selected so filters are appended using steps__ingredients__food__id__in the list of foods and descendants
for fd in Food.objects.filter(pk__in=search_foods):
queryset = queryset.filter(steps__ingredients__food__id__in=list(fd.get_descendants_and_self().values_list('pk', flat=True)))
if len(search_books) > 0:
if search_books_or:
queryset = queryset.filter(recipebookentry__book__id__in=search_books)
else:
for k in search_books:
queryset = queryset.filter(recipebookentry__book__id=k)
if search_rating:
# TODO make ratings a settings user-only vs all-users
queryset = queryset.annotate(rating=Round(Avg(Case(When(cooklog__created_by=request.user, then='cooklog__rating'), default=Value(0)))))
if search_rating == -1:
queryset = queryset.filter(rating=0)
else:
queryset = queryset.filter(rating__gte=search_rating)
# probably only useful in Unit list view, so keeping it simple
if search_units:
queryset = queryset.filter(steps__ingredients__unit__id=search_units)
# probably only useful in Unit list view, so keeping it simple
if search_steps:
queryset = queryset.filter(steps__id__in=search_steps)
if search_internal:
queryset = queryset.filter(internal=True)
queryset = queryset.distinct()
if search_random:
queryset = queryset.order_by("?")
else:
queryset = queryset.order_by(*orderby)
return queryset
class RecipeFacet():
class CacheEmpty(Exception):
pass
def __init__(self, request, queryset=None, hash_key=None, cache_timeout=3600):
if hash_key is None and queryset is None:
raise ValueError(_("One of queryset or hash_key must be provided"))
self._request = request
self._queryset = queryset
self.hash_key = hash_key or str(hash(frozenset(self._queryset.values_list('pk'))))
self._SEARCH_CACHE_KEY = f"recipes_filter_{self.hash_key}"
self._cache_timeout = cache_timeout
self._cache = caches['default'].get(self._SEARCH_CACHE_KEY, {})
if self._cache is None and self._queryset is None:
raise self.CacheEmpty("No queryset provided and cache empty")
self.Keywords = self._cache.get('Keywords', None)
self.Foods = self._cache.get('Foods', None)
self.Books = self._cache.get('Books', None)
self.Ratings = self._cache.get('Ratings', None)
self.Recent = self._cache.get('Recent', None)
if self._queryset:
self._recipe_list = list(self._queryset.values_list('id', flat=True))
self._search_params = {
'keyword_list': self._request.query_params.getlist('keywords', []),
'food_list': self._request.query_params.getlist('foods', []),
'book_list': self._request.query_params.getlist('book', []),
'search_keywords_or': str2bool(self._request.query_params.get('keywords_or', True)),
'search_foods_or': str2bool(self._request.query_params.get('foods_or', True)),
'search_books_or': str2bool(self._request.query_params.get('books_or', True)),
'space': self._request.space,
}
elif self.hash_key:
self._recipe_list = self._cache.get('recipe_list', None)
self._search_params = {
'keyword_list': self._cache.get('keyword_list', None),
'food_list': self._cache.get('food_list', None),
'book_list': self._cache.get('book_list', None),
'search_keywords_or': self._cache.get('search_keywords_or', None),
'search_foods_or': self._cache.get('search_foods_or', None),
'search_books_or': self._cache.get('search_books_or', None),
'space': self._cache.get('space', None),
}
self._cache = {
**self._search_params,
'recipe_list': self._recipe_list,
'Ratings': self.Ratings,
'Recent': self.Recent,
'Keywords': self.Keywords,
'Foods': self.Foods,
'Books': self.Books
}
caches['default'].set(self._SEARCH_CACHE_KEY, self._cache, self._cache_timeout)
def get_facets(self):
if self._cache is None:
pass
return {
'cache_key': self.hash_key,
'Ratings': self.get_ratings(),
'Recent': self.get_recent(),
'Keywords': self.get_keywords(),
'Foods': self.get_foods(),
'Books': self.get_books()
}
def set_cache(self, key, value):
self._cache = {**self._cache, key: value}
caches['default'].set(
self._SEARCH_CACHE_KEY,
self._cache,
self._cache_timeout
)
def get_books(self):
if self.Books is None:
self.Books = []
return self.Books
def get_keywords(self):
if self.Keywords is None:
if self._search_params['search_keywords_or']:
keywords = Keyword.objects.filter(space=self._request.space).distinct()
else:
keywords = Keyword.objects.filter(Q(recipe__in=self._recipe_list) | Q(depth=1)).filter(space=self._request.space).distinct()
# set keywords to root objects only
keywords = self._keyword_queryset(keywords)
self.Keywords = [{**x, 'children': None} if x['numchild'] > 0 else x for x in list(keywords)]
self.set_cache('Keywords', self.Keywords)
return self.Keywords
def get_foods(self):
if self.Foods is None:
# # if using an OR search, will annotate all keywords, otherwise, just those that appear in results
if self._search_params['search_foods_or']:
foods = Food.objects.filter(space=self._request.space).distinct()
else:
foods = Food.objects.filter(Q(ingredient__step__recipe__in=self._recipe_list) | Q(depth=1)).filter(space=self._request.space).distinct()
# set keywords to root objects only
foods = self._food_queryset(foods)
self.Foods = [{**x, 'children': None} if x['numchild'] > 0 else x for x in list(foods)]
self.set_cache('Foods', self.Foods)
return self.Foods
def get_books(self):
if self.Books is None:
self.Books = []
return self.Books
def get_ratings(self):
if self.Ratings is None:
if self._queryset is None:
self._queryset = Recipe.objects.filter(id__in=self._recipe_list)
rating_qs = self._queryset.annotate(rating=Round(Avg(Case(When(cooklog__created_by=self._request.user, then='cooklog__rating'), default=Value(0)))))
self.Ratings = dict(Counter(r.rating for r in rating_qs))
self.set_cache('Ratings', self.Ratings)
return self.Ratings
def get_recent(self):
if self.Recent is None:
# TODO make days of recent recipe a setting
recent_recipes = ViewLog.objects.filter(created_by=self._request.user, space=self._request.space, created_at__gte=timezone.now() - timedelta(days=14)
).values_list('recipe__pk', flat=True)
self.Recent = list(recent_recipes)
self.set_cache('Recent', self.Recent)
return self.Recent
def add_food_children(self, id):
try:
food = Food.objects.get(id=id)
nodes = food.get_ancestors()
except Food.DoesNotExist:
return self.get_facets()
foods = self._food_queryset(Food.objects.filter(path__startswith=food.path, depth=food.depth+1), food)
deep_search = self.Foods
for node in nodes:
index = next((i for i, x in enumerate(deep_search) if x["id"] == node.id), None)
deep_search = deep_search[index]['children']
index = next((i for i, x in enumerate(deep_search) if x["id"] == food.id), None)
deep_search[index]['children'] = [{**x, 'children': None} if x['numchild'] > 0 else x for x in list(foods)]
self.set_cache('Foods', self.Foods)
return self.get_facets()
def add_keyword_children(self, id):
try:
keyword = Keyword.objects.get(id=id)
nodes = keyword.get_ancestors()
except Keyword.DoesNotExist:
return self.get_facets()
keywords = self._keyword_queryset(Keyword.objects.filter(path__startswith=keyword.path, depth=keyword.depth+1), keyword)
deep_search = self.Keywords
for node in nodes:
index = next((i for i, x in enumerate(deep_search) if x["id"] == node.id), None)
deep_search = deep_search[index]['children']
index = next((i for i, x in enumerate(deep_search) if x["id"] == keyword.id), None)
deep_search[index]['children'] = [{**x, 'children': None} if x['numchild'] > 0 else x for x in list(keywords)]
self.set_cache('Keywords', self.Keywords)
return self.get_facets()
def _recipe_count_queryset(self, field, depth=1, steplen=4):
return Recipe.objects.filter(**{f'{field}__path__startswith': OuterRef('path')}, id__in=self._recipe_list, space=self._request.space
).values(child=Substr(f'{field}__path', 1, steplen)
).annotate(count=Count('pk', distinct=True)).values('count')
def _keyword_queryset(self, queryset, keyword=None):
depth = getattr(keyword, 'depth', 0) + 1
steplen = depth * Keyword.steplen
return queryset.annotate(count=Coalesce(Subquery(self._recipe_count_queryset('keywords', depth, steplen)), 0)
).filter(depth=depth, count__gt=0
).values('id', 'name', 'count', 'numchild').order_by('name')
def _food_queryset(self, queryset, food=None):
depth = getattr(food, 'depth', 0) + 1
steplen = depth * Food.steplen
return queryset.annotate(count=Coalesce(Subquery(self._recipe_count_queryset('steps__ingredients__food', depth, steplen)), 0)
).filter(depth__lte=depth, count__gt=0
).values('id', 'name', 'count', 'numchild').order_by('name')
# # TODO: This might be faster https://github.com/django-treebeard/django-treebeard/issues/115
# def get_facet(qs=None, request=None, use_cache=True, hash_key=None, food=None, keyword=None):
# """
# Gets an annotated list from a queryset.
# :param qs:
# recipe queryset to build facets from
# :param request:
# the web request that contains the necessary query parameters
# :param use_cache:
# will find results in cache, if any, and return them or empty list.
# will save the list of recipes IDs in the cache for future processing
# :param hash_key:
# the cache key of the recipe list to process
# only evaluated if the use_cache parameter is false
# :param food:
# return children facets of food
# only evaluated if the use_cache parameter is false
# :param keyword:
# return children facets of keyword
# only evaluated if the use_cache parameter is false
# """
# facets = {}
# recipe_list = []
# cache_timeout = 600
# # return cached values
# if use_cache:
# qs_hash = hash(frozenset(qs.values_list('pk')))
# facets['cache_key'] = str(qs_hash)
# SEARCH_CACHE_KEY = f"recipes_filter_{qs_hash}"
# if c := caches['default'].get(SEARCH_CACHE_KEY, None):
# facets['Keywords'] = c['Keywords'] or []
# facets['Foods'] = c['Foods'] or []
# facets['Books'] = c['Books'] or []
# facets['Ratings'] = c['Ratings'] or []
# facets['Recent'] = c['Recent'] or []
# else:
# facets['Keywords'] = []
# facets['Foods'] = []
# facets['Books'] = []
# # TODO make ratings a settings user-only vs all-users
# rating_qs = qs.annotate(rating=Round(Avg(Case(When(cooklog__created_by=request.user, then='cooklog__rating'), default=Value(0)))))
# facets['Ratings'] = dict(Counter(r.rating for r in rating_qs))
# facets['Recent'] = ViewLog.objects.filter(
# created_by=request.user, space=request.space,
# created_at__gte=timezone.now() - timedelta(days=14) # TODO make days of recent recipe a setting
# ).values_list('recipe__pk', flat=True)
# cached_search = {
# 'recipe_list': list(qs.values_list('id', flat=True)),
# 'keyword_list': request.query_params.getlist('keywords', []),
# 'food_list': request.query_params.getlist('foods', []),
# 'book_list': request.query_params.getlist('book', []),
# 'search_keywords_or': str2bool(request.query_params.get('keywords_or', True)),
# 'search_foods_or': str2bool(request.query_params.get('foods_or', True)),
# 'search_books_or': str2bool(request.query_params.get('books_or', True)),
# 'space': request.space,
# 'Ratings': facets['Ratings'],
# 'Recent': facets['Recent'],
# 'Keywords': facets['Keywords'],
# 'Foods': facets['Foods'],
# 'Books': facets['Books']
# }
# caches['default'].set(SEARCH_CACHE_KEY, cached_search, cache_timeout)
# return facets
# # construct and cache new values by retrieving search parameters from the cache
# SEARCH_CACHE_KEY = f'recipes_filter_{hash_key}'
# if c := caches['default'].get(SEARCH_CACHE_KEY, None):
# recipe_list = c['recipe_list']
# keyword_list = c['keyword_list']
# food_list = c['food_list']
# book_list = c['book_list']
# search_keywords_or = c['search_keywords_or']
# search_foods_or = c['search_foods_or']
# search_books_or = c['search_books_or']
# else:
# return {}
# # if using an OR search, will annotate all keywords, otherwise, just those that appear in results
# if search_keywords_or:
# keywords = Keyword.objects.filter(space=request.space).distinct()
# else:
# keywords = Keyword.objects.filter(Q(recipe__in=recipe_list) | Q(depth=1)).filter(space=request.space).distinct()
# # Subquery that counts recipes for keyword including children
# kw_recipe_count = Recipe.objects.filter(**{'keywords__path__startswith': OuterRef('path')}, id__in=recipe_list, space=request.space
# ).values(kw=Substr('keywords__path', 1, Keyword.steplen)
# ).annotate(count=Count('pk', distinct=True)).values('count')
# # set keywords to root objects only
# keywords = keywords.annotate(count=Coalesce(Subquery(kw_recipe_count), 0)
# ).filter(depth=1, count__gt=0
# ).values('id', 'name', 'count', 'numchild'
# ).order_by('name')
# if keyword:
# facets['Keywords'] = list(keywords)
# return facets
# # custom django-tree function annotates a queryset to make building a tree easier.
# # see https://django-treebeard.readthedocs.io/en/latest/api.html#treebeard.models.Node.get_annotated_list_qs for details
# # kw_a = annotated_qs(keywords, root=True, fill=True)
# # # if using an OR search, will annotate all keywords, otherwise, just those that appear in results
# if search_foods_or:
# foods = Food.objects.filter(space=request.space).distinct()
# else:
# foods = Food.objects.filter(Q(ingredient__step__recipe__in=recipe_list) | Q(depth=1)).filter(space=request.space).distinct()
# food_recipe_count = Recipe.objects.filter(**{'steps__ingredients__food__path__startswith': OuterRef('path')}, id__in=recipe_list, space=request.space
# ).values(kw=Substr('steps__ingredients__food__path', 1, Food.steplen * (1+getattr(food, 'depth', 0)))
# ).annotate(count=Count('pk', distinct=True)).values('count')
# # set keywords to root objects only
# foods = foods.annotate(count=Coalesce(Subquery(food_recipe_count), 0)
# ).filter(depth=(1+getattr(food, 'depth', 0)), count__gt=0
# ).values('id', 'name', 'count', 'numchild'
# ).order_by('name')
# if food:
# facets['Foods'] = list(foods)
# return facets
# # food_a = annotated_qs(foods, root=True, fill=True)
# # c['Keywords'] = facets['Keywords'] = fill_annotated_parents(kw_a, keyword_list)
# c['Keywords'] = facets['Keywords'] = list(keywords)
# # c['Foods'] = facets['Foods'] = fill_annotated_parents(food_a, food_list)
# c['Foods'] = facets['Foods'] = list(foods)
# # TODO add book facet
# c['Books'] = facets['Books'] = []
# caches['default'].set(SEARCH_CACHE_KEY, c, cache_timeout)
# return facets
# def fill_annotated_parents(annotation, filters):
# tree_list = []
# parent = []
# i = 0
# level = -1
# for r in annotation:
# expand = False
# annotation[i][1]['id'] = r[0].id
# annotation[i][1]['name'] = r[0].name
# annotation[i][1]['count'] = getattr(r[0], 'recipe_count', 0)
# annotation[i][1]['isDefaultExpanded'] = False
# if str(r[0].id) in filters:
# expand = True
# if r[1]['level'] < level:
# parent = parent[:r[1]['level'] - level]
# parent[-1] = i
# level = r[1]['level']
# elif r[1]['level'] > level:
# parent.extend([i])
# level = r[1]['level']
# else:
# parent[-1] = i
# j = 0
# while j < level:
# # this causes some double counting when a recipe has both a child and an ancestor
# annotation[parent[j]][1]['count'] += getattr(r[0], 'recipe_count', 0)
# if expand:
# annotation[parent[j]][1]['isDefaultExpanded'] = True
# j += 1
# if level == 0:
# tree_list.append(annotation[i][1])
# elif level > 0:
# annotation[parent[level - 1]][1].setdefault('children', []).append(annotation[i][1])
# i += 1
# return tree_list
# def annotated_qs(qs, root=False, fill=False):
# """
# Gets an annotated list from a queryset.
# :param root:
# Will backfill in annotation to include all parents to root node.
# :param fill:
# Will fill in gaps in annotation where nodes between children
# and ancestors are not included in the queryset.
# """
# result, info = [], {}
# start_depth, prev_depth = (None, None)
# nodes_list = list(qs.values_list('pk', flat=True))
# for node in qs.order_by('path'):
# node_queue = [node]
# while len(node_queue) > 0:
# dirty = False
# current_node = node_queue[-1]
# depth = current_node.get_depth()
# parent_id = current_node.parent
# if root and depth > 1 and parent_id not in nodes_list:
# parent_id = current_node.parent
# nodes_list.append(parent_id)
# node_queue.append(current_node.__class__.objects.get(pk=parent_id))
# dirty = True
# if fill and depth > 1 and prev_depth and depth > prev_depth and parent_id not in nodes_list:
# nodes_list.append(parent_id)
# node_queue.append(current_node.__class__.objects.get(pk=parent_id))
# dirty = True
# if not dirty:
# working_node = node_queue.pop()
# if start_depth is None:
# start_depth = depth
# open = (depth and (prev_depth is None or depth > prev_depth))
# if prev_depth is not None and depth < prev_depth:
# info['close'] = list(range(0, prev_depth - depth))
# info = {'open': open, 'close': [], 'level': depth - start_depth}
# result.append((working_node, info,))
# prev_depth = depth
# if start_depth and start_depth > 0:
# info['close'] = list(range(0, prev_depth - start_depth + 1))
# return result
def old_search(request):
if has_group_permission(request.user, ('guest',)):
params = dict(request.GET)
params['internal'] = None
f = RecipeFilter(params,
queryset=Recipe.objects.filter(space=request.user.userpreference.space).all().order_by('name'),
space=request.space)
return f.qs