massive product load implementation, not tested

products/views.py

@@ -1,8 +1,15 @@
+import logging
+import csv
+
 from django.shortcuts import render
+from django.conf import settings
 
 # Create your views here.
 from rest_framework import viewsets
-from rest_framework.permissions import IsAuthenticatedOrReadOnly
+from rest_framework.permissions import IsAuthenticatedOrReadOnly, IsAdminUser
+from rest_framework.decorators import api_view, permission_classes
+
+import requests
 
 from products.models import Product
 from products.serializers import ProductSerializer
@@ -10,7 +17,78 @@ from products.serializers import ProductSerializer
 from back_latienda.permissions import IsCreator
 
 
+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]
+
+
+@api_view(['POST',])
+@permission_classes([IsAdminUser,])
+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
+            for row in csv_reader:
+                  if '' in (row['nombre-producto'], row['descripcion'], row['precio']):
+                        logging.error(f"Required data missing: {row}")
+                        continue
+                  try:
+                        # download image references in csv
+                        image_url = row['image'].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.warninig(f"Image URL did not work: {image_url}")
+                              new_image = None
+                        # assemble instance data
+                        product_data = {
+                              'id': None if row['id'].strip()=='' else row['id'].strip(),
+                              'name': row['nombre-coop'].strip(),
+                              'short_name': row['nombre-producto'].strip(),
+                              'description': row['descripcion'].strip(),
+                              'image': new_image,
+                              'url': row['url'].strip(),
+                              'precio': 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(),
+                        }
+                        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))}})
+
+