182 lines
7.7 KiB
Python
182 lines
7.7 KiB
Python
import logging
|
|
import csv
|
|
import datetime
|
|
import operator
|
|
from functools import reduce
|
|
|
|
from django.shortcuts import render
|
|
from django.conf import settings
|
|
from django.db.models import Q
|
|
|
|
# Create your views here.
|
|
from rest_framework import status
|
|
from rest_framework import viewsets
|
|
from rest_framework.response import Response
|
|
from rest_framework.permissions import IsAuthenticatedOrReadOnly, IsAdminUser, IsAuthenticated
|
|
from rest_framework.decorators import api_view, permission_classes, action
|
|
|
|
import requests
|
|
|
|
from products.models import Product
|
|
from products.serializers import ProductSerializer, TagFilterSerializer
|
|
from companies.models import Company
|
|
from history.models import HistorySync
|
|
|
|
from back_latienda.permissions import IsCreator
|
|
from .utils import extract_search_filters
|
|
from utils.tag_serializers import TaggitSerializer
|
|
from utils.tag_filters import ProductTagFilter
|
|
|
|
|
|
logging.basicConfig(
|
|
filename='logs/product-load.log',
|
|
filemode='w',
|
|
format='%(levelname)s:%(message)s',
|
|
level=logging.INFO,
|
|
)
|
|
|
|
|
|
class ProductViewSet(viewsets.ModelViewSet):
|
|
queryset = Product.objects.all()
|
|
serializer_class = ProductSerializer
|
|
permission_classes = [IsAuthenticatedOrReadOnly, IsCreator]
|
|
filterset_class = ProductTagFilter
|
|
filterset_fields = ['name', 'tags', 'category', 'attributes']
|
|
|
|
def perform_create(self, serializer):
|
|
serializer.save(creator=self.request.user)
|
|
|
|
@action(detail=True, methods=['GET',])
|
|
def related(request):
|
|
# TODO: find the most similar products
|
|
return Response(data=[])
|
|
|
|
|
|
@api_view(['GET',])
|
|
@permission_classes([IsAuthenticated,])
|
|
def my_products(request):
|
|
qs = Product.objects.filter(creator=request.user)
|
|
product_serializer = ProductSerializer(qs, many=True)
|
|
return Response(data=product_serializer.data)
|
|
|
|
|
|
@api_view(['POST',])
|
|
@permission_classes([IsAuthenticated,])
|
|
def load_coop_products(request):
|
|
"""Read CSV file being received
|
|
Parse it to create products for related Company
|
|
"""
|
|
try:
|
|
csv_file = request.FILES['csv_file']
|
|
if csv_file.name.endswith('.csv') is not True:
|
|
logging.error(f"File {csv_file.name} is not a CSV file")
|
|
return Response({"errors":{"details": "File is not CSV type"}})
|
|
|
|
logging.info(f"Reading contents of {csv_file.name}")
|
|
decoded_file = csv_file.read().decode('utf-8').splitlines()
|
|
csv_reader = csv.DictReader(decoded_file, delimiter=',')
|
|
counter = 0
|
|
# get company linked to user
|
|
company_qs = Company.objects.filter(creator=request.user)
|
|
|
|
if company_qs:
|
|
company = company_qs.first()
|
|
else:
|
|
return Response({"errors":{"details": "Your user has no company to add products to"}})
|
|
# create historysync instance
|
|
history = HistorySync.objects.create(company=company, sync_date=datetime.datetime.now(), quantity=len(decoded_file))
|
|
|
|
for row in csv_reader:
|
|
if '' in (row['nombre-producto'], row['descripcion'], row['precio'], row['categoria']):
|
|
logging.error(f"Required data missing: {row}")
|
|
continue
|
|
try:
|
|
# download image references in csv
|
|
if row['imagen'].strip() != '':
|
|
image_url = row['imagen'].strip()
|
|
response = requests.get(image_url, stream=True)
|
|
if response.status_code == 200:
|
|
path = f"{setting.BASE_DIR}media/{row['nombre-producto'].strip()}.{image.url.split('/')[-1]}"
|
|
logging.info(f"Saving product image to: {path}")
|
|
new_image = open(path, 'wb')
|
|
for chunk in response:
|
|
new_image.write(chunk)
|
|
new_image.close()
|
|
else:
|
|
logging.warning(f"Image URL did not work: {image_url}")
|
|
new_image = None
|
|
else:
|
|
new_image = None
|
|
|
|
# TODO: if tags is empty, auto-generate tags
|
|
|
|
# assemble instance data
|
|
product_data = {
|
|
'id': None if row['id'].strip()=='' else row['id'].strip(),
|
|
'company': Company.objects.filter(creator=request.user).first(),
|
|
'name': row['nombre-producto'].strip(),
|
|
'description': row['descripcion'].strip(),
|
|
'image': new_image,
|
|
'url': row['url'].strip(),
|
|
'price': row['precio'].strip(),
|
|
'shipping_cost': row['gastos-envio'].strip(),
|
|
'shipping_terms': row['cond-envio'].strip(),
|
|
'discount': row['descuento'].strip(),
|
|
'stock': row['stock'].strip(),
|
|
'tags': row['tags'].strip(),
|
|
'category': row['categoria'].strip(),
|
|
'identifiers': row['identificadores'].strip(),
|
|
'history': history,
|
|
'creator': request.user,
|
|
}
|
|
|
|
Product.objects.create(**product_data)
|
|
logging.info(f"Created Product: {product_data}")
|
|
counter += 1
|
|
except Exception as e:
|
|
logging.error(f"Could not parse {row}")
|
|
return Response()
|
|
except Exception as e:
|
|
return Response({"errors": {"details": str(type(e))}}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
|
|
|
|
|
|
@api_view(['GET',]) # include allowed methods
|
|
def product_search(request):
|
|
"""
|
|
Takes a string of data, return relevant products
|
|
"""
|
|
query_string = request.GET.get('query_string', None)
|
|
if query_string is None:
|
|
return Response({"errors": {"details": "No query string to parse"}})
|
|
try:
|
|
# save results
|
|
result_set = set()
|
|
# split query string into single words
|
|
chunks = query_string.split(' ')
|
|
|
|
for chunk in chunks:
|
|
# search in tags
|
|
tags = Product.tags.tag_model.objects.filter(name__icontains=chunk)
|
|
# search in category
|
|
categories = Product.category.tag_model.objects.filter(name__icontains=chunk)
|
|
# search in attributes
|
|
attributes = Product.attributes.tag_model.objects.filter(name__icontains=chunk)
|
|
# unified tag search
|
|
products_qs = Product.objects.filter(
|
|
Q(name__icontains=chunk)|
|
|
Q(description__icontains=chunk)|
|
|
Q(tags__in=tags)|
|
|
Q(category__in=categories)|
|
|
Q(attributes__in=attributes)
|
|
)
|
|
for instance in products_qs:
|
|
result_set.add(instance)
|
|
|
|
# extract filters from result_set
|
|
filters = extract_search_filters(result_set)
|
|
# serialize and respond
|
|
product_serializer = ProductSerializer(result_set, many=True)
|
|
return Response(data={"filters": filters, "products": product_serializer.data})
|
|
except Exception as e:
|
|
return Response({"errors": {"details": str(type(e))}}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
|