def get_remove_existing_foods_list(x, y, theta):
dt_product = regression.dot_product(x, theta)
# required = y[0]
# computed_total = dt_product[0]
ratio = (y / dt_product).tolist()[0]
difference = (y - dt_product).tolist()[0]
remove_existing = []
for i in range(len(ratio)):
if ratio[i] < 0.5 or difference[i] < (-50):
remove_existing.append(i)
return [constants.REQUIRED_NUTRIENT_LIST[x] for x in remove_existing]
def getRemoveExistingFoodsList(x, y, theta):
dtProduct = regression.dot_product(x, theta)
required = y[0]
computedTotal = dtProduct[0]
ratio = (y / dtProduct).tolist()[0]
difference = (y - dtProduct).tolist()[0]
removeExisting = []
for i in range(len(ratio)):
if (ratio[i] < 0.5 or difference[i] < (-50)):
removeExisting.append(i)
return [reqMineralList[x] for x in removeExisting]
def get_add_more_list(x, y, theta):
dt_product = regression.dot_product(x, theta)
# required = y[0]
# computed_total = dt_product[0]
ratio = (y / dt_product).tolist()[0]
difference = (y - dt_product).tolist()[0]
add_more_list = []
for i in range(len(ratio)):
if ratio[i] > 2 or difference[i] > 50:
add_more_list.append(i)
return [constants.REQUIRED_NUTRIENT_LIST[x] for x in add_more_list]
def getAddMoreList(x, y, theta):
dtProduct = regression.dot_product(x, theta)
required = y[0]
computedTotal = dtProduct[0]
ratio = (y / dtProduct).tolist()[0]
difference = (y - dtProduct).tolist()[0]
addMoreList = []
for i in range(len(ratio)):
if (ratio[i] > 2 or difference[i] > 50):
addMoreList.append(i)
return [reqMineralList[x] for x in addMoreList]
def display_output(x, y, theta, final_foods, req_mineral_list):
with codecs.open(constants.NUTRIENT_DETAILS_FILE,
'r',
encoding='utf-8',
errors='ignore') as nutrient_detail_file:
food_items = nutrient_detail_file.read().split('\n')[1:]
food_items = [food_item.split("^") for food_item in food_items]
food_dict = {}
[
food_dict.update({str(int(food_item[0])): food_item})
for food_item in food_items
]
required_mineral_names = [
constants.NUTRIENT_LIST[i] for i in req_mineral_list
]
output_double_array = list([])
output_double_array.append(['Food Name', 'ID', 'weight'] +
required_mineral_names)
output_double_array.append(['-' * 27, '-' * 12, '-' * 12] +
['-' * 12] * len(required_mineral_names))
for food in range(len(final_foods)):
food_name = food_dict[final_foods[food]][3]
weight = theta[:, 1][food] * 100
food_id = final_foods[food]
req_nutrient_values = [
float(food_dict[final_foods[food]][y1]) * (float(weight / 100))
for y1 in
[x + constants.NUTRIENT_START_INDEX for x in req_mineral_list]
]
output_double_array.append([food_name, food_id, weight] +
req_nutrient_values)
output_double_array.append(['-' * 27, '-' * 12, '-' * 12] +
['-' * 12] * len(required_mineral_names))
output_double_array.append(['Total', '', ''] +
regression.dot_product(x, theta).tolist()[0])
output_double_array.append(['-' * 27, '-' * 12, '-' * 12] +
['-' * 12] * len(required_mineral_names))
output_double_array.append(['Required', '', ''] + y.tolist()[0])
output_double_array.append(['-' * 27, '-' * 12, '-' * 12] +
['-' * 12] * len(required_mineral_names))
output_double_array.append(['Difference', '', ''] + (
(y - regression.dot_product(x, theta)).tolist()[0]))
output_double_array.append(['-' * 27, '-' * 12, '-' * 12] +
['-' * 12] * len(required_mineral_names))
output_string = ''
for row in output_double_array[:2]:
out_row = ''
out_row += "{0:<27}".format(row[0][:25]) \
+ "{0:<12}".format(row[1][:10]) \
+ "{0:<12}".format(str(row[2])[:10])
for index in range(3, len(row)):
out_row += "{0:<12}".format(str(row[index])[:10])
# print(outRow)
output_string += out_row
output_string += '\n'
for row in output_double_array[2:-7]:
out_row = ''
out_row += "{0:<27}".format(row[0][:25]) \
+ "{0:<12}".format(row[1][:10]) \
+ "{0:<12}".format(str(row[2])[:10])
for index in range(3, len(row)):
out_row += "{0:<12}".format(
str('{:f}'.format(float(row[index])))[:10])
output_string += out_row
output_string += '\n'
for row in output_double_array[len(output_double_array) - 7:]:
out_row = ''
out_row += "{0:<27}".format(row[0][:25]) \
+ "{0:<12}".format(row[1][:10]) \
+ "{0:<12}".format(str(row[2])[:10])
for index in range(3, len(row)):
out_row += "{0:<12}".format(str(row[index])[:10])
output_string += out_row
output_string += '\n'
open(constants.OUTPUT_FILE, 'w').write(output_string)
def display_output(x, y, theta, finalFoods, GRAMS, daily_nutrients_limit_y,
reqMineralList):
food_items = list([])
with codecs.open(foodsWithNutrientDetalsFinalFile,
'r',
encoding='utf-8',
errors='ignore') as fdata:
food_items = fdata.read().split('\n')[1:]
food_items = [food_item.split("^") for food_item in food_items]
food_dict = {}
[
food_dict.update({str(int(food_item[0])): food_item})
for food_item in food_items
]
requiredMineralNames = [NUTRIENT_LIST[i] for i in reqMineralList]
#print(requiredMineralNames)
outputDoubleArray = list([])
outputDoubleArray.append(['Food Name', 'ID', 'weight'] +
requiredMineralNames)
outputDoubleArray.append(['-' * 27, '-' * 12, '-' * 12] +
['-' * 12] * len(requiredMineralNames))
for looper3 in range(len(finalFoods)):
foodName = food_dict[finalFoods[looper3]][3]
weight = theta[:, 1][looper3] * 100
id = finalFoods[looper3]
reqNutrientValues = [
float(food_dict[finalFoods[looper3]][y1]) * (float(weight / 100))
for y1 in [x + NUTRIENT_START_INDEX for x in reqMineralList]
]
outputDoubleArray.append([foodName, id, weight] + reqNutrientValues)
outputDoubleArray.append(['-' * 27, '-' * 12, '-' * 12] +
['-' * 12] * len(requiredMineralNames))
outputDoubleArray.append(['Total', '', ''] +
regression.dot_product(x, theta).tolist()[0])
outputDoubleArray.append(['-' * 27, '-' * 12, '-' * 12] +
['-' * 12] * len(requiredMineralNames))
outputDoubleArray.append(['Required', '', ''] + y.tolist()[0])
outputDoubleArray.append(['-' * 27, '-' * 12, '-' * 12] +
['-' * 12] * len(requiredMineralNames))
outputDoubleArray.append(['Difference', '', ''] + (
(y - regression.dot_product(x, theta)).tolist()[0]))
outputDoubleArray.append(['-' * 27, '-' * 12, '-' * 12] +
['-' * 12] * len(requiredMineralNames))
outputString = ''
for row in outputDoubleArray[:2]:
outRow = ''
outRow += "{0:<27}".format(row[0][:25]) + "{0:<12}".format(
row[1][:10]) + "{0:<12}".format(str(row[2])[:10])
for index in range(3, len(row)):
outRow += "{0:<12}".format(str(row[index])[:10])
#print(outRow)
outputString += outRow
outputString += '\n'
for row in outputDoubleArray[2:-7]:
outRow = ''
outRow += "{0:<27}".format(row[0][:25]) + "{0:<12}".format(
row[1][:10]) + "{0:<12}".format(str(row[2])[:10])
for index in range(3, len(row)):
outRow += "{0:<12}".format(
str('{:f}'.format(float(row[index])))[:10])
#print(outRow)
outputString += outRow
outputString += '\n'
for row in outputDoubleArray[len(outputDoubleArray) - 7:]:
outRow = ''
outRow += "{0:<27}".format(row[0][:25]) + "{0:<12}".format(
row[1][:10]) + "{0:<12}".format(str(row[2])[:10])
for index in range(3, len(row)):
outRow += "{0:<12}".format(str(row[index])[:10])
#print(outRow)
outputString += outRow
outputString += '\n'
open(OUTPUT_FILE, 'w').write(outputString)