TandoorRecipes/cookbook/helper/open_data_importer.py
2023-04-30 22:30:56 +02:00

106 lines
4.0 KiB
Python

from django.db.models import Q
from cookbook.models import Unit, SupermarketCategory, FoodProperty, FoodPropertyType, Supermarket, SupermarketCategoryRelation
def import_units(data, request):
unit_name_list = []
for u in list(data['unit'].keys()):
unit_name_list.append(data['unit'][u]['name'])
unit_name_list.append(data['unit'][u]['plural_name'])
existing_units = Unit.objects.filter(space=request.space).filter(Q(name__in=unit_name_list) | Q(plural_name__in=unit_name_list)).values_list('name', 'plural_name')
existing_units = [item for sublist in existing_units for item in sublist]
insert_list = []
for u in list(data['unit'].keys()):
if not (data['unit'][u]['name'] in existing_units or data['unit'][u]['plural_name'] in existing_units):
insert_list.append(Unit(
name=data['unit'][u]['name'],
plural_name=data['unit'][u]['plural_name'],
base_unit=data['unit'][u]['base_unit'] if data['unit'][u]['base_unit'] != '' else None,
open_data_slug=u,
space=request.space
))
Unit.objects.bulk_create(insert_list)
return len(insert_list)
def import_category(data, request):
identifier_list = []
datatype = 'category'
for k in list(data[datatype].keys()):
identifier_list.append(data[datatype][k]['name'])
existing_objects = SupermarketCategory.objects.filter(space=request.space).filter(name__in=identifier_list).values_list('name', flat=True)
insert_list = []
for k in list(data[datatype].keys()):
if not (data[datatype][k]['name'] in existing_objects):
insert_list.append(SupermarketCategory(
name=data[datatype][k]['name'],
open_data_slug=k,
space=request.space
))
SupermarketCategory.objects.bulk_create(insert_list)
return len(insert_list)
def import_property(data, request):
identifier_list = []
datatype = 'property'
for k in list(data[datatype].keys()):
identifier_list.append(data[datatype][k]['name'])
existing_objects = FoodPropertyType.objects.filter(space=request.space).filter(name__in=identifier_list).values_list('name', flat=True)
insert_list = []
for k in list(data[datatype].keys()):
if not (data[datatype][k]['name'] in existing_objects):
insert_list.append(FoodPropertyType(
name=data[datatype][k]['name'],
unit=data[datatype][k]['unit'],
open_data_slug=k,
space=request.space
))
FoodPropertyType.objects.bulk_create(insert_list)
return len(insert_list)
def import_supermarket(data, request):
identifier_list = []
datatype = 'supermarket'
for k in list(data[datatype].keys()):
identifier_list.append(data[datatype][k]['name'])
existing_objects = Supermarket.objects.filter(space=request.space).filter(name__in=identifier_list).values_list('name', flat=True)
supermarket_categories = SupermarketCategory.objects.filter(space=request.space, open_data_slug__isnull=False).values_list('id', 'open_data_slug')
insert_list = []
for k in list(data[datatype].keys()):
if not (data[datatype][k]['name'] in existing_objects): # TODO on large datasets see if bulk creating supermarkets and then relations as well is better
supermarket = Supermarket.objects.create(
name=data[datatype][k]['name'],
open_data_slug=k,
space=request.space
)
relations = []
order = 0
for c in data[datatype][k]['categories']:
relations.append(
SupermarketCategoryRelation(
supermarket=supermarket,
category_id=[x[0] for x in supermarket_categories if x[1] == c][0],
order=order,
)
)
order += 1
SupermarketCategoryRelation.objects.bulk_create(relations)
return len(insert_list)