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| # For the implementation, it was used Python decorator in Django REST framework to define a view function that can handle HTTP requests. | |
| @api_view(['GET']) | |
| def getRakingRecomm(request): | |
| category_arg = request.query_params.get('chosen_category') | |
| # the ML model returns the id of 3 ranked recommended items based on the category selected on the search bar | |
| # recommendation_dir = os.path.join(settings.BASE_DIR, 'm_l', 'recommendation') | |
| # sys.path.append(recommendation_dir) | |
| # from recommendation_f import create_ranking_df | |
| id1, id2, id3 = create_ranking_df(category_arg) | |
| obj1 = Item.objects.get(id=id1) | |
| obj2 = Item.objects.get(id=id2) | |
| obj3 = Item.objects.get(id=id3) | |
| ranked_items = [] | |
| serialized_obj1 = ItemSerializers(obj1).data | |
| ranked_items.append(serialized_obj1) | |
| serialized_obj2 = ItemSerializers(obj2).data | |
| ranked_items.append(serialized_obj2) | |
| serialized_obj3 = ItemSerializers(obj3).data | |
| ranked_items.append(serialized_obj3) | |
| return Response(ranked_items) |
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