def recommend(self, request):
params = set(normalize_recipe_params(request.GET.get('q', None)))
exact_recipes = []
nearly_there_recipes = []
for recipe in models.Recipe.objects.all():
ingredients = set([x.ingredient.id
for x in recipe.recipe_components.all()])
intersection = params & ingredients
if len(intersection) > 0:
difference = ingredients - intersection
if len(difference) is 0:
exact_recipes.append(recipe)
else:
nearly_there_recipes.append({
'recipe': recipe.pk,
'missing': list(difference),
})
nearly_there_recipes.sort(key=lambda x: len(x['missing']))
return JsonResponse({
'recipes': [recipe.pk for recipe in exact_recipes],
'nearly_there': nearly_there_recipes
})
def recommend_old(self, request):
params = set(normalize_recipe_params(request.GET.get('q', None)))
exact_recipes = []
nearly_there_recipes = []
for recipe in models.Recipe.objects.all():
ingredients = set([x.ingredient.id
for x in recipe.recipe_components.all()])
intersection = params & ingredients
if len(intersection) > 0:
difference = ingredients - intersection
difference_length = len(difference)
if difference_length is 0:
exact_recipes.append(recipe)
else:
nearly_there_recipes.append({
'recipe': RecipeSerializer(recipe, many=False).data,
'missing_count': difference_length,
})
nearly_there_recipes.sort(key=lambda x: x['missing_count'])
return JsonResponse({
'recipes': RecipeSerializer(exact_recipes, many=True).data,
'nearly_there': json.JSONDecoder().decode(
json.dumps(nearly_there_recipes)),
})
def testing_recipe(request):
params = set(normalize_recipe_params(request.GET.get("q", None)))
exact_recipes = []
nearly_there_recipes = []
for recipe in Recipe.objects.all():
ingredients = set([x.ingredient.id for x in recipe.recipe_components.all()])
intersection = params & ingredients
if len(intersection) > 0:
difference = ingredients - intersection
difference_length = len(difference)
if difference_length is 0:
exact_recipes.append(recipe)
else:
nearly_there_recipes.append(
{"recipe": RecipeSerializer(recipe, many=False).data, "missing": difference_length}
)
nearly_there_recipes.sort(key=lambda x: x["missing_count"])
return JsonResponse(
{
"recipes": RecipeSerializer(exact_recipes, many=True).data,
"nearly_there": json.JSONDecoder().decode(json.dumps(nearly_there_recipes)),
}
)
def recommend_recipes(request):
# params = normalize_recipe_params(request.GET.get('q', None))
# print('Ingredients: ' + str(params))
# if params:
# params = set(params)
# exact_recipes = []
# nearly_there_recipes = []
# probable_recipes = Recipe.objects.has_ingredients(params)
# for recipe in probable_recipes:
# ingredients = set([x.ingredient.id for x in recipe.recipe_components.all()])
# # if ingredients.issubset(params):
# if ingredients == params:
# exact_recipes.append(recipe)
# else:
# nearly_there_recipes.append({
# 'recipe': RecipeSerializer(recipe, many=False).data,
# 'missing_count': len(ingredients) - len(params),
# })
# nearly_there_recipes.sort(key=lambda x: x['missing_count'])
# return JsonResponse({
# 'recipes': RecipeSerializer(exact_recipes, many=True).data,
# 'nearly_there': json.JSONDecoder().decode(json.dumps(nearly_there_recipes)),
# })
# else:
# return JsonResponse({
# 'recipes': [],
# 'nearly_there': [],
# })
params = set(normalize_recipe_params(request.GET.get("q", None)))
exact_recipes = []
nearly_there_recipes = []
for recipe in Recipe.objects.all():
ingredients = set([x.ingredient.id for x in recipe.recipe_components.all()])
intersection = params & ingredients
if len(intersection) > 0:
difference = ingredients - intersection
difference_length = len(difference)
if difference_length is 0:
exact_recipes.append(recipe)
else:
nearly_there_recipes.append(
{"recipe": RecipeSerializer(recipe, many=False).data, "missing_count": difference_length}
)
nearly_there_recipes.sort(key=lambda x: x["missing_count"])
return JsonResponse(
{
"recipes": RecipeSerializer(exact_recipes, many=True).data,
"nearly_there": json.JSONDecoder().decode(json.dumps(nearly_there_recipes)),
}
)
