def nutritionix_wrapper(label):
"""
This function will take a label and give out the weight to calories ratio
input: label (string)
output: weight / calories (double)
"""
nutritionix_id = nutritionix_ID(label)
nix = Nutritionix(app_id="8dfdbdb1", api_key="66ad2fcd0f25722ca73662505e9fd492")
nutritionix_info = nix.item(id=nutritionix_id).json()
weight_key = 'nf_serving_weight_grams'
calories_key = 'nf_calories'
weight = nutritionix_info[weight_key]
calories = nutritionix_info[calories_key]
if weight is not None and calories is not None:
print('ME GOOD')
ratio = calories / weight
return ratio
print('ME BAD')
return 0
def result():
print(request.form['out'])
chosenLabel = request.form['out']
nix = Nutritionix(app_id="b3151f58",
api_key="f9c4b99b77d236006962c81e4ddbffee")
apple = nix.search(chosenLabel)
results = apple.json()
resultsItem = nix.item(id=results['hits'][0]['fields']['item_id']).json()
return render_template('description.html',
sum=wikipedia.summary(chosenLabel, sentences=3),
calories=str(resultsItem['nf_calories']),
serving=str(resultsItem['nf_serving_weight_grams']))
def nutritionix_calories(nutritionix_id):
"""
This function will take an ID and return calories | Useful for the total count of calories per user
input: id (string)
output: calories
"""
nix = Nutritionix(app_id="8dfdbdb1", api_key="66ad2fcd0f25722ca73662505e9fd492")
calories_key = 'nf_calories'
nutritionix_info = nix.item(id=nutritionix_id).json()
calories = nutritionix_info[calories_key]
if calories is not None:
return calories
else:
return None
def FatFinder(string):
num = 1
###From https://github.com/leetrout/python-nutritionix###
from nutritionix import Nutritionix
api_key = "5fc43e41551148e7105f4c0b6e8cba31"
app_id = "cd1f176e"
nix = Nutritionix(app_id, api_key)
stringsearch = nix.search(string, results=("0:"+str(num))).json()
### My Code ###
item_id = stringsearch["hits"][0]["fields"]["item_id"]
itemidsearch = nix.item(id=str(item_id)).json()
itemfat = itemidsearch['nf_saturated_fat']
if itemfat is None:
OUTPUT = "Please enter a food that contains Fat. "
return OUTPUT
else:
return itemfat
def get_nutrient(food):
"""Hepler function to get raw data for a food from API.
Arguments:
food {string} -- food to be found
Returns:
detail {dictionary} -- raw data is store in the dictionary
"""
nix = Nutritionix(app_id=APP_ID, api_key="")
a = nix.search(food, results="0:1").json()
detail = {}
if 'hits' in a:
hits = a['hits']
try:
item_id = hits[0]['_id']
detail = nix.item(id=item_id).json()
except IndexError:
pass
detail["key_ingredient"] = food
print(detail["key_ingredient"])
return detail
from flask import Flask, request, jsonify
#sudo pip install flask-cors
from flask_cors import CORS
from nutritionix import Nutritionix
nix = Nutritionix(app_id="67a461a2",
api_key="e2e3a5f32358c6197ad841f6a0bbbb0d")
app = Flask(__name__)
CORS(app)
#pizza = nix.search("pizza")
#print nix.search('big mac', results="0:1").json()
print nix.item(id="58bedf1bde25a28564cebeb9").json()
@app.route('/', methods=['GET'])
def home_page():
return "Hello, World!"
@app.route('/hand_checker', methods=['POST'])
def hand_checker():
# print request.form
hand = request.form.getlist('hand[]')
print hand
#hand = ['1h 2h 1s 9d 13d']
return jsonify({'message': 'You have %s and %s!' % (hand[0], hand[1])})
if __name__ == '__main__':
"calories_from_fats,total_fat_grams,trans_fat_grams,saturated_fat_grams,"
"cholesterol_grams,sodium_grams,total_carbohydrates_grams,"
"dietary_fiber_grams,sugars_grams,protein_grams,"
"vitamin_a_dv,vitamin_c_dv,calcium_dv,iron_dv)"
"VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)"
)
#For each food item in our test list of food items
for item in ifile:
#0:2 means only get two items from the results list.
food = nix.search(item, results="0:2").json()
#if more than one item is returned
food_list = food['hits']
for food_item in food_list:
foodid = food_item['_id']
food_info = nix.item(id=foodid).json()
#prep the data for insert
food_data = food_info['item_id'], food_info['item_name'], food_info[
'nf_calories'], food_info['nf_serving_size_qty'], food_info[
'nf_serving_weight_grams'], food_info['nf_serving_size_unit'], food_info[
'nf_calories_from_fat'], food_info['nf_total_fat'], food_info[
'nf_trans_fatty_acid'], food_info['nf_saturated_fat'], food_info[
'nf_cholesterol'], food_info['nf_sodium'], food_info[
'nf_total_carbohydrate'], food_info[
'nf_dietary_fiber'], food_info[
'nf_sugars'], food_info[
'nf_protein'], food_info[
'nf_vitamin_a_dv'], food_info[
'nf_vitamin_c_dv'], food_info[
'nf_calcium_dv'], food_info[
from nutritionix import Nutritionix
nix = Nutritionix(app_id="a43c505b",
api_key="ce2e2ad8e38bbf9dbb2043575c591179")
a = nix.search("pizza", results="0:1").json()
b = a['hits']
_id = b[0]
calorie = nix.item(id=_id['_id']).json()['nf_calories']
class FoodNutrition(object):
def __init__(self, nutritionix_id = "46e19a0a", \
nutritionix_key = "b05d85f8570c41a40f5bc4cca2c5d57f"):
self.nix = Nutritionix(app_id=nutritionix_id, api_key=nutritionix_key)
self.food_model = \
{u'nf_ingredient_statement': u'',
u'nf_serving_weight_grams': 0,
u'allergen_contains_soybeans': None,
u'brand_name': u"",
u'nf_calories_from_fat': 0,
u'nf_calcium_dv': 0,
u'brand_id': u'',
u'allergen_contains_eggs': None,
u'nf_iron_dv': 0,
u'nf_cholesterol': 0,
u'item_description': u'',
u'usda_fields': None,
u'nf_monounsaturated_fat': None,
u'nf_dietary_fiber': 0,
u'item_name': u'',
u'allergen_contains_tree_nuts': None,
u'allergen_contains_shellfish': None,
u'nf_vitamin_c_dv': 0,
u'nf_polyunsaturated_fat': None,
u'allergen_contains_peanuts': None,
u'nf_sugars': 0,
u'nf_servings_per_container': None,
u'nf_total_fat': 0,
u'nf_total_carbohydrate': 0,
u'leg_loc_id': 0,
u'nf_saturated_fat': 0,
u'allergen_contains_wheat': None,
u'old_api_id': None,
u'updated_at': u'',
u'allergen_contains_gluten': None,
u'nf_protein': 0,
u'item_id': u'',
u'nf_calories': 0,
u'nf_water_grams': None,
u'allergen_contains_fish': None,
u'nf_trans_fatty_acid': 0,
u'nf_serving_size_qty': 0,
u'allergen_contains_milk': None,
u'nf_vitamin_a_dv': 0,
u'nf_serving_size_unit': u'',
u'nf_refuse_pct': None,
u'nf_sodium': 0,
u'food_group': u'',
u'food_subgroup': u'',
u'restaurant_id': u'',
u'restaurant_name': u''}
def get_food_healthy_score(self, food_id):
# traverse scored nutrients
score = 0
score_nutrients = FoodScoreNutrient.query.all()
# get food tuple
food = Food.query.filter_by(food_id=food_id).first()
food_energy = food.energy
for score_nutrient in score_nutrients:
# get scored nutrient info
score_nutrient_name = score_nutrient.score_nutrient_name
nutrient_dv = float(score_nutrient.nutrient_dv)
if score_nutrient.recommend:
recom_flag = 1
else:
recom_flag = -1
# get corresponding food nutrient
try:
food_nutrient = float(eval('food.' + score_nutrient_name))
except:
food_nutrient = 0
# calculate
score += recom_flag * (food_nutrient / nutrient_dv) / food_energy
# update food healthy score
food.healthy_score = score
db.session.add(food)
db.session.commit()
return score
def search_food_name(self,
food_name,
result_num=10,
prior_search="hpb_focos"):
if prior_search == "hpb_focos":
name_results = self.hpb_focos_search_food_name(
food_name, result_num)
search_num = len(name_results)
if search_num < result_num:
name_results_2 = self.nutritionix_search_food_name(food_name, \
result_num - search_num)
search_num += len(name_results_2)
name_results.update(name_results_2)
if search_num < result_num:
print "Only get " + str(search_num) + " results!"
elif prior_search == "nutritionix":
name_results = self.nutritionix_search_food_name(
food_name, result_num)
search_num = len(name_results)
if search_num < result_num:
name_results_2 = self.hpb_focos_search_food_name(food_name, \
result_num - search_num)
search_num += len(name_results_2)
name_results.update(name_results_2)
if search_num < result_num:
print "Only get " + str(search_num) + " results!"
else:
raise Exception("prior_search must be hpb_focos or nutritionix!")
return name_results
def search_food_id(self, food_id):
if food_id[0:8] == 'hpbfocos':
food_id = food_id[8:]
food = self.hpb_focos_search_food_id(food_id)
else:
food = self.nutritionix_search_food_id(food_id)
return food
def nutritionix_search_food_name(self, food_name, result_num=5):
# result_num should <= 50
if result_num <= 50:
try:
search_result = self.nix.search(food_name, results = "0:" + \
str(result_num)).json()
except: # > total results
search_num = self.nix.search(food_name).json()['total_hits']
search_result = nix.search(food_name, results = "0:" + \
str(search_num)).json()
else:
raise Exception("Result num must <= 50!")
results = search_result['hits']
name_results = {}
for result in results:
name_results[result[u'fields'][u'item_name']] = result[u'_id']
return name_results
def nutritionix_search_food_id(self, food_id):
try:
food_entry = self.nix.item(id=food_id).json()
except:
raise Exception("Invalid Food ID")
return food_entry
def hpb_focos_search_food_name(self, food_name, result_num=5):
results = db.session.query(HpbFocosFood).filter(HpbFocosFood.\
food_name.like('%%' + food_name + '%%')).all()
search_num = len(results)
if result_num <= search_num:
results = results[0:result_num]
else:
print "Only get " + str(search_num) + " search results!"
name_results = {}
for result in results:
name_results[result.food_name] = u'hpbfocos' + str(result.food_id)
return name_results
def hpb_focos_search_food_id(self, food_id):
hpb_food = HpbFocosFood.query.filter_by(food_id=food_id).first()
food = {}
food[u'nf_serving_weight_grams'] = hpb_food.serving_gram
# food[u'nf_calcium_dv'] = 0,
# u'nf_iron_dv': 0,
food[u'nf_cholesterol'] = hpb_food.cholesterol
food[u'nf_dietary_fiber'] = hpb_food.fiber
food[u'item_name'] = hpb_food.food_name
# u'nf_vitamin_c_dv': 0,
food[u'nf_total_fat'] = hpb_food.fat
food[u'nf_total_carbohydrate'] = hpb_food.carb
food[u'nf_saturated_fat'] = hpb_food.sat_fat
food[u'nf_protein'] = hpb_food.protein
food[u'item_id'] = u'hpbfocos' + str(hpb_food.food_id)
food[u'nf_calories'] = hpb_food.energy
#u'nf_vitamin_a_dv': 0,
food[u'nf_serving_size_unit'] = hpb_food.serving_unit
food[u'nf_sodium'] = hpb_food.sodium
food[u'food_group'] = hpb_food.food_group
food[u'food_subgroup'] = hpb_food.food_subgroup
return food
with io.open(file_name, 'rb') as image_file:
content = image_file.read()
image = types.Image(content=content)
# Performs label detection on the image file
response = client.label_detection(image=image)
labels = response.label_annotations
print('Labels:')
for label in labels:
print(label.description + " " + str(label.score))
# Let the user choose what label best fits
chosenLabel = input("Which label do you choose? ")
for label in labels:
if label.description == chosenLabel:
# Scrape description from Wikipedia
print("\nDescription: ")
print(wikipedia.summary(chosenLabel, sentences=3))
# Scrape nutrition data
nix = Nutritionix(app_id="149637d3",
api_key="db3b7737e2bb69592a78ddea290e1704")
apple = nix.search(chosenLabel)
results = apple.json()
resultsItem = nix.item(
id=results['hits'][0]['fields']['item_id']).json()
print("Calories: " + str(resultsItem['nf_calories']))
print("Serving Weight: " +
str(resultsItem['nf_serving_weight_grams']) + "g")
from nutritionix import Nutritionix
nix = Nutritionix(app_id="0acff812", api_key="fe3234b8d467860ae368067d62ae5600")
result = nix.item(id="513fc9e73fe3ffd40300109f").json()
num = result['nf_protein']
den = result['nf_serving_weight_grams']
proRatio = float(num)/float(den)
print proRatio
### Iteration for 100 most protein filled
ff = nix.search().nxql(
filters={
"nf_protein": {
"gte": 120
}
},
fields=["item_name", "item_id"]
).json()
print ff
)
ingredients = []
meal = []
try:
grub = input("First Ingredient: ")
ammount = input("Ammount (in grams): ")
while grub:
ingredients.append(tuple([str(grub), int(ammount)]))
grub = input("Next ingredient: ")
ammount = input("Ammount (in grams): ")
for ingredient in ingredients:
food = nix.search(ingredient[0], results="0:1")
foodID = food.json()['hits'][0]['_id']
data = nix.item(id=foodID).json()
#print(data)
if data['nf_serving_weight_grams'] != None:
calories = (
(data['nf_calories'] / data['nf_serving_weight_grams']) *
ingredient[1])
fat = ((data['nf_total_fat'] / data['nf_serving_weight_grams']) *
ingredient[1])
carbs = ((data['nf_total_carbohydrate'] /
data['nf_serving_weight_grams']) * ingredient[1])
protein = ((data['nf_protein'] / data['nf_serving_weight_grams']) *
ingredient[1])
sugar = ((data['nf_sugars'] / data['nf_serving_weight_grams']) *
ingredient[1])
meal.append([