def by_name_group():
data = to_Data()
sname = data['name']
group = data['group']
page = data['page']
if sname and group and page:
info = get_Info(sname=sname, group=group)
list = to_List(info, page)
data = to_Json(list)
return data
return ("0")
def clasiify_Image():
print('开始识别！')
data = request.files['image']
image = data.read()
result = imageclassify(image)
id = -1
for i in range(len(staticFood)):
m = staticFood[i]['name']
if (m == result):
id = i
print('食材id：', i)
break
data = to_Json(id)
return data
def get_meal():
data = to_Data()
meal = Meal
u = data['user']
print(u)
i = 0
food_score = cal_score(u)
# 80种食物的评分，列表存储，有序
print(food_score)
for m in meal:
if (i >= 80):
m['score'] = get_Score(m, u, meal)
else:
m['score'] = food_score[i]
i = i + 1
if 'snack' in m['cata']:
s = float(m['score']) / 2
m['score'] = '%.1f' % s
print(meal)
data = to_Json(meal)
return data