用Python实现减重软件

import requests

class WeightLoss:
  def __init__(self, exercise, bmr):
    self.exercise=exercise
    self.bmr=bmr

  def calories_deficit(self):
    deficit=self.bmr+self.exercise-(self.breakfast_calories+self.lunch_calories+dinner_calories)
    return deficit
    
  def targe_meals_calories(self, target_weight_loss):
    meals_calories = self.bmr + self.exercise - ((target_weight_loss *3600/0.45359237)/7)
    return meals_calories
#exercise=int(input("how many calories did you burn exercising?"))
#bmr=int(input("What is your basic metabolic rate"))
exercise = 500 #calories
bmr = 1000 #calories
target_weight_loss=0.5 #kg

fitness=WeightLoss(exercise, bmr)
meals_calories=int(fitness.targe_meals_calories(target_weight_loss))

if meals_calories > 0:
  print(f"You meal calories limit is {meals_calories} calories per day")


##登记用户
#user_data="""
#{
#    "username": "mariolu",
#    "firstName": "mario",
#    "lastName": "lu",
#    "email": "lumanyu@gmail.com"
#}
#"""
#headers={"x-api-key":""}
#connect_url="https://api.spoonacular.com/users/connect"

#response = requests.post(url, headers=headers, json=json.loads(user_data))
#response_json = response.json()
#hash = response_json['hash']


##三餐推荐
#url=f"https://api.spoonacular.com/mealplanner/generate?timeFrame=day&targetCalories={target_calories}"
#response = requests.get(url, headers=headers)
#response_json = response.json()

# 这里为了保证在线运行结果，我把我拉取的食谱直接放在这个快照链接里
url = "https://raw.githubusercontent.com/lumanyu/ai_app/main/data/mealplanner/mealpanner.json"

# A GET request to the API
response = requests.get(url)

# 获取到食谱的组成成份
response_json = response.json()

print(f"早餐: {response_json['meals'][0]['servings']} {response_json['meals'][0]['title']}")
print(f"午餐: {response_json['meals'][1]['servings']} {response_json['meals'][1]['title']}")
print(f"晚餐: {response_json['meals'][2]['servings']} {response_json['meals'][2]['title']}")


import sys
import json
import matplotlib
import matplotlib.pyplot as plt
import base64
import matplotlib.image as mpimg
import io

from tencentcloud.common import credential
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile
from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
from tencentcloud.aiart.v20221229 import aiart_client, models

import urllib



matplotlib.use('Agg')

"""
try:
    # 实例化一个认证对象，入参需要传入腾讯云账户 SecretId 和 SecretKey，此处还需注意密钥对的保密
    # 代码泄露可能会导致 SecretId 和 SecretKey 泄露，并威胁账号下所有资源的安全性。以下代码示例仅供参考，建议采用更安全的方式来使用密钥，请参见：https://cloud.tencent.com/document/product/1278/85305
    # 密钥可前往官网控制台 https://console.cloud.tencent.com/cam/capi 进行获取
    cred = credential.Credential("", "")
    # 实例化一个http选项，可选的，没有特殊需求可以跳过
    httpProfile = HttpProfile()
    httpProfile.endpoint = "aiart.tencentcloudapi.com"

    # 实例化一个client选项，可选的，没有特殊需求可以跳过
    clientProfile = ClientProfile()
    clientProfile.httpProfile = httpProfile
    # 实例化要请求产品的client对象,clientProfile是可选的
    client = aiart_client.AiartClient(cred, "ap-guangzhou", clientProfile)

    # 实例化一个请求对象,每个接口都会对应一个request对象
    req = models.TextToImageRequest()
    params = {
        "Prompt": "Watermelon, Kiwi, Apple and Frozen Banana Smoothie"
    }
    req.from_json_string(json.dumps(params))

    # 返回的resp是一个TextToImageResponse的实例，与请求对象对应
    resp = client.TextToImage(req)
    # 输出json格式的字符串回包
    image_data = json.loads(resp.to_json_string())
    global img_data
    img_data=image_data['ResultImage']
    fig = plt.figure()

    fp = io.BytesIO(base64.b64decode(str(img_data)))
    with fp:
        img = mpimg.imread(fp, format='jpeg')
    plt.imshow(img)
    fig.savefig('plot.png', dpi=80)

except TencentCloudSDKException as err:
    print(err)    

"""

#因为这里生成早餐图片要填上secret id和key，所以需要你自己注册，代码是可用的。这里我直接拉取之前拉取过的图片做展示
url="https://raw.githubusercontent.com/lumanyu/ai_app/main/data/mealplanner/breakfast.mini.png"
response = requests.get(url)
fp = io.BytesIO(response.content)
fig = plt.figure()

with fp:
    img = mpimg.imread(fp, format='')
plt.imshow(img)
fig.savefig('plot2.png', dpi=80)