Exemplo n.º 1
0
def _gen_recommendations(meal, pantry, verbose=False):
    recommendations = noms.generate_recommendations(meal, pantry,
                                                    noms.nutrient_dict, 3,
                                                    verbose)
    pre_meal_loss = noms.analyze.loss(meal, noms.nutrient_dict)
    post_meal = noms.Meal(meal.foods + [pantry[recommendations[0][1]]])
    post_meal_loss = noms.analyze.loss(post_meal, noms.nutrient_dict)
    # check that the loss of the new meal is lower
    assert post_meal_loss < pre_meal_loss
Exemplo n.º 2
0
def _meal():
    client = _client()
    food_list = client.get_foods({
        '173410': 20,  # 01001':20,
        '1100335': 100,  #'01132':100,
        '1103883': 80,  #'09037':80,
        '175167': 150,  #15076':150,
        '1102597': 140,  #'09201':140,
        '1104292': 300,  #'14278':300,
        '1100612': 20,  #'12006':20,
        '1101628': 150,  #'20041':150,
        '1100429': 50,  #'16057':50,
        '1103116': 50,  #'11233':50,
        '1104032': 10,  #'19904':10,
        '1104331': 1000  #14400':1000 # literally an entire liter of coke
    })
    meal = noms.Meal(food_list)
    assert type(meal) == noms.Meal
    assert len(meal.foods) == 12
    return meal
Exemplo n.º 3
0
def _meal():
    client = _client()
    food_list = client.get_foods({
        '01001': 20,
        '01132': 100,
        '09037': 80,
        '15076': 150,
        '09201': 140,
        '14278': 300,
        '12006': 20,
        '20041': 150,
        '16057': 50,
        '11233': 50,
        '19904': 10,
        '14400': 1000  # literally an entire liter of coke
    })
    meal = noms.Meal(food_list)
    assert type(meal) == noms.Meal
    assert len(meal.foods) == 12
    return meal
Exemplo n.º 4
0
def _pantry():
    client = _client()
    pantry_items = {
        "1097517": 100,  # 2% milk
        "1097878": 100,  # cocoa powder
        "1100383": 100,  # lima beans
        "1100549": 100,  # pistachio
        "1100918": 100,  # ice cream
        "1102594": 100,  # lemon
        "1102710": 100,  # strawberries
        "1102880": 100,  # baked potato
        "1103193": 100,  # raw carrots
        "1103261": 100,  # baked sweet potato
        "1103645": 100,  # peas
        "1103845": 100,  # garlic
        "1103861": 100,  # olive oil
        "1103883": 100,  # avocado
        "1104493": 100,  # bottled water
        "1105430": 100,  # red delicious apple
        "168436": 100,  # shiitake mushrooms
        "168917": 100,  # quinoa, cooked
        "171890": 100,  # coffee brewed with tap water
        "173410": 100,  # butter, salted
        "173423": 100,  # fried egg
        "173430": 100,  # butter, without salt
        "174608": 100,  # chicken breast oven-roasted
        "1097512": 100,  # milk, whole
        "1097521": 100,  # skim milk
        "1099608": 100,  # steak
        "1099796": 100,  # hamburger
        "1099888": 100,  # turkey
        "1100335": 100,  # scrambled eggs
        "1100393": 100,  # pinto beans
        "1100410": 100,  # black beans
        "1100429": 100,  # chickpeas
        "1100555": 100,  # almond
        "1100612": 100,  # chia
        "1101112": 100,  # pizza
        "1101628": 100,  # brown rice cooked
        "1102597": 100,  # oranges
        "1102702": 100,  # blueberry
        "1102708": 100,  # raspberry
        "1103116": 100,  # kale
        "1103136": 100,  # spinach, raw
        "1103183": 100,  # broccoli
        "1103358": 100,  # lettuce
        "1103860": 100,  # flaxseed
        "1104032": 100,  # dark chocolate
        "1104292": 100,  # brewed green tea
        "1104331": 100,  # coke
        "1104492": 100,  # tap water
        "168880": 100,  # white rice enriched cooked
        "170050": 100,  # tomato, red, cooked
        "170285": 100,  # pearled barley
        "171354": 100,  # orange juice
        "171370": 100,  # pretzel
        "173424": 100,  # hard boiled eggs
        "173945": 100,  # banana
        "174993": 100,  # donut
        "175167": 100,  # atlantic salmon
        "324860": 100  # peanut butter smooth
    }
    pantry_food = client.get_foods(pantry_items)
    #import pickle
    #pantry_food =pickle.load(open('pantry_foods_data.pkl', 'rb'))
    pantry = noms.Meal(pantry_food)
    assert type(pantry) == noms.Meal
    assert pantry.nutrients[0]["name"] == noms.nutrient_dict()()[0]["name"]
    return pantry
Exemplo n.º 5
0
def _pantry():
    client = _client()
    pantry_items = {
        # DAIRY AND EGG
        "01001": 100,  # butter, salted
        "01145": 100,  # butter, without salt
        "01079": 100,  # 2% milk
        "01077": 100,  # milk, whole
        "01086": 100,  # skim milk
        "01132": 100,  # scrambled eggs
        "01129": 100,  # hard boiled eggs
        "01128": 100,  # fried egg
        # MEAT
        "15076": 100,  # atlantic salmon
        "07935": 100,  # chicken breast oven-roasted
        "13647": 100,  # steak
        "05192": 100,  # turkey
        # FRUIT
        "09037": 100,  # avocado
        "09316": 100,  # strawberries
        "09050": 100,  # blueberry
        "09302": 100,  # raspberry
        "09500": 100,  # red delicious apple
        "09040": 100,  # banana
        "09150": 100,  # lemon
        "09201": 100,  # oranges
        "09132": 100,  # grapes
        # PROCESSED
        "21250": 100,  # hamburger
        "21272": 100,  # pizza
        "19088": 100,  # ice cream
        "18249": 100,  # donut
        # DRINK
        "14400": 100,  # coke
        "14429": 100,  # tap water
        "14433": 100,  # bottled water
        "09206": 100,  # orange juice
        "14278": 100,  # brewed green tea
        "14209": 100,  # coffee brewed with tap water
        # (milk is included in dairy group)
        # GRAIN
        "12006": 100,  # chia
        "12220": 100,  # flaxseed
        "20137": 100,  # quinoa, cooked
        "20006": 100,  # pearled barley
        "20051": 100,  # white rice enriched cooked
        "20041": 100,  # brown rice cooked
        "12151": 100,  # pistachio
        "19047": 100,  # pretzel
        "12061": 100,  # almond
        # LEGUME
        "16057": 100,  # chickpeas
        "16015": 100,  # black beans
        "16043": 100,  # pinto beans
        "16072": 100,  # lima beans
        "16167": 100,  # peanut butter smooth
        # VEGETABLE
        "11124": 100,  # raw carrots
        "11090": 100,  # broccoli
        "11457": 100,  # spinach, raw
        "11357": 100,  # baked potato
        "11508": 100,  # baked sweet potato
        "11530": 100,  # tomato, red, cooked
        "11253": 100,  # lettuce
        "11233": 100,  # kale
        "11313": 100,  # peas
        "11215": 100,  # garlic
        # OTHER
        "04053": 100,  # olive oil
        "19904": 100,  # dark chocolate
        "11238": 100,  # shiitake mushrooms
        "19165": 100,  # cocoa powder
    }
    pantry_food = client.get_foods(pantry_items)
    pantry = noms.Meal(pantry_food)
    assert type(pantry) == noms.Meal
    assert pantry.nutrients[0]["name"] == noms.nutrient_dict[0]["name"]
    return pantry