def basic_search(req):
# do not know how to get userId from session yet, to be resolved
user_id = 0
if req.session.has_key('user_id'):
user_id = req.session['user_id']
else:
user_id = req.GET.dict()['user_id']
ep = db_retrieve_eating_preferences(user_id)
search_results = search_alg(req.GET.dict(), ep)
return HttpResponse(json.dumps(search_results), content_type='application/json')
def suggest(user_id):
#############
#############
#############
suggested_total_fat = 65
suggested_protein = 50
suggested_carbohydrate = 300
suggested_fiber = 25
suggested_calories = 2000
suggested_sugar = 30
##############
##############
##############
consumed_total_fat = 0
consumed_protein = 0
consumed_carbohydrate = 0
consumed_fiber = 0
consumed_calories = 0
consumed_sugar = 0
start = int(datetime.utcnow().date().strftime("%s")) + 6*60*60
end = time.time() + 3 * 60 * 60
if end < start:
start -= 24 * 60 * 60
records = db_search_consumption_foods(start , end , user_id)
count = 1
for record in records:
consumed_total_fat += record.fat_value
consumed_protein += record.protein_value
consumed_carbohydrate += record.carbohydrate_value
consumed_fiber += record.fiber_value
consumed_calories += record.calorie_value
consumed_sugar += record.sugar_value
if consumed_calories > 400:
count += 1
#######################
#######################
#######################
if count < 4:
coefficient = count / 3
else:
coefficient = 1
suggested_total_fat = coefficient * 1 * suggested_total_fat - consumed_total_fat
if suggested_total_fat < 0:
suggested_total_fat = 0
suggested_protein = coefficient * 1 * suggested_protein - consumed_protein
if suggested_protein < 0:
suggested_protein = 0
suggested_carbohydrate = coefficient * 1 * suggested_carbohydrate - consumed_carbohydrate
if suggested_carbohydrate < 0:
suggested_carbohydrate = 0
suggested_fiber = coefficient * 1 * suggested_fiber - consumed_fiber
if suggested_fiber < 0:
suggested_fiber = 0
suggested_sugar = coefficient * 1 * suggested_sugar - consumed_sugar
if suggested_sugar < 0:
suggested_sugar = 0
suggested_calories = coefficient * 1 * suggested_calories - consumed_calories
if suggested_calories < 0:
suggested_calories = -100
#######################
#######################
#######################
user_preferences = db_retrieve_eating_preferences(user_id)
foods_query = unwanted_search(user_preferences["unwanted_list"])
foods_query = calorie_search(suggested_calories-200, suggested_calories+200,foods_query)
foods_query = sugar_search(0,suggested_sugar+10,foods_query)
foods = list(fat_search(suggested_total_fat-10,suggested_total_fat+10,foods_query))
foods.extend(list(protein_search(suggested_protein-10,suggested_protein+10,foods_query)))
foods.extend(list(carbohydrate_search(suggested_carbohydrate-30, suggested_carbohydrate+30,foods_query)))
foods.extend(list(fiber_search(suggested_fiber-10,suggested_fiber+10,foods_query)))
suggested_foods = []
food_id_list = []
for food in foods:
food_id_list.append(food.food_id)
food_id_list = [ite for ite, it in Counter(food_id_list).most_common(3)]
for id in food_id_list:
food = db_retrieve_food(id)
food_dict = dict(
food_name=food.food_name,
food_id=food.food_id,
food_image=food.food_image,
food_rate=food.food_rate,
food_description = food.food_description,
food_owner = food.food_owner,
calorie_value=food.calorie_value
)
suggested_foods.append(food_dict)
return suggested_foods
def suggest(user_id):
#############
#############
#############
suggested_total_fat = 65
suggested_protein = 50
suggested_carbohydrate = 300
suggested_fiber = 25
suggested_calories = 2000
suggested_sugar = 30
##############
##############
##############
consumed_total_fat = 0
consumed_protein = 0
consumed_carbohydrate = 0
consumed_fiber = 0
consumed_calories = 0
consumed_sugar = 0
start = int(datetime.utcnow().date().strftime("%s")) + 6 * 60 * 60
end = time.time() + 3 * 60 * 60
if end < start:
start -= 24 * 60 * 60
records = db_search_consumption_foods(start, end, user_id)
count = 1
for record in records:
consumed_total_fat += record.fat_value
consumed_protein += record.protein_value
consumed_carbohydrate += record.carbohydrate_value
consumed_fiber += record.fiber_value
consumed_calories += record.calorie_value
consumed_sugar += record.sugar_value
if consumed_calories > 400:
count += 1
#######################
#######################
#######################
if count < 4:
coefficient = count / 3
else:
coefficient = 1
suggested_total_fat = coefficient * 1 * suggested_total_fat - consumed_total_fat
if suggested_total_fat < 0:
suggested_total_fat = 0
suggested_protein = coefficient * 1 * suggested_protein - consumed_protein
if suggested_protein < 0:
suggested_protein = 0
suggested_carbohydrate = coefficient * 1 * suggested_carbohydrate - consumed_carbohydrate
if suggested_carbohydrate < 0:
suggested_carbohydrate = 0
suggested_fiber = coefficient * 1 * suggested_fiber - consumed_fiber
if suggested_fiber < 0:
suggested_fiber = 0
suggested_sugar = coefficient * 1 * suggested_sugar - consumed_sugar
if suggested_sugar < 0:
suggested_sugar = 0
suggested_calories = coefficient * 1 * suggested_calories - consumed_calories
if suggested_calories < 0:
suggested_calories = -100
#######################
#######################
#######################
user_preferences = db_retrieve_eating_preferences(user_id)
foods_query = unwanted_search(user_preferences["unwanted_list"])
foods_query = calorie_search(suggested_calories - 200,
suggested_calories + 200, foods_query)
foods_query = sugar_search(0, suggested_sugar + 10, foods_query)
foods = list(
fat_search(suggested_total_fat - 10, suggested_total_fat + 10,
foods_query))
foods.extend(
list(
protein_search(suggested_protein - 10, suggested_protein + 10,
foods_query)))
foods.extend(
list(
carbohydrate_search(suggested_carbohydrate - 30,
suggested_carbohydrate + 30, foods_query)))
foods.extend(
list(
fiber_search(suggested_fiber - 10, suggested_fiber + 10,
foods_query)))
suggested_foods = []
food_id_list = []
for food in foods:
food_id_list.append(food.food_id)
food_id_list = [ite for ite, it in Counter(food_id_list).most_common(3)]
for id in food_id_list:
food = db_retrieve_food(id)
food_dict = dict(food_name=food.food_name,
food_id=food.food_id,
food_image=food.food_image,
food_rate=food.food_rate,
food_description=food.food_description,
food_owner=food.food_owner,
calorie_value=food.calorie_value)
suggested_foods.append(food_dict)
return suggested_foods
