Merge branch 'development' into diego

This commit is contained in:
Diego Calvo
2021-03-11 08:37:33 +01:00
11 changed files with 187 additions and 113 deletions

View File

@@ -85,35 +85,45 @@ def extract_search_filters(result_set):
return filter_dict
def find_related_products_v7(description, tags, attributes, category):
products_qs = Product.objects.filter(
description=description,
tags__in=tags,
attributes__in=attributes,
category=category
)[:6]
return products_qs
def find_related_products_v3(keyword):
def get_related_products(product):
"""Make different db searches until you get 10 instances to return
"""
Ranked product search
total_results = []
SearchVectors for the fields
SearchQuery for the value
SearchRank for relevancy scoring and ranking
"""
vector = SearchVector('name') + SearchVector('description') + SearchVector('tags__label') + SearchVector('attributes__label') + SearchVector('category__name')
query = SearchQuery(keyword)
# search by category
category_qs = Product.objects.filter(category=product.category)[:10]
# add to results
for item in category_qs:
total_results.append(item)
products_qs = Product.objects.annotate(
rank=SearchRank(vector, query)
).filter(rank__gt=0.05) # removed order_by because its lost in casting
# check size
if len(total_results) < 10:
# search by tags
tags_qs = Product.objects.filter(tags__in=product.tags.all())[:10]
# add to results
for item in tags_qs:
total_results.append(item)
return set(products_qs)
# check size
if len(total_results) < 10:
# search by coop
coop_qs = Product.objects.filter(company=product.company)[:10]
# add to results
for item in coop_qs:
total_results.append(item)
# check size
if len(total_results) < 10:
# search by latest
latest_qs = Product.objects.order_by('-created')[:10]
# add to results
for item in coop_qs:
total_results.append(item)
return total_results[:10]
def find_related_products_v6(keyword, shipping_cost=None, discount=None, category=None, tags=None, price_min=None,price_max=None):
def ranked_product_search(keyword, shipping_cost=None, discount=None, category=None, tags=None, price_min=None,price_max=None):
"""
Ranked product search