Flask的一个重要项目，查询数据库

from flask import Flask,Response, json
from flask_sqlalchemy import  SQLAlchemy
from flask import jsonify
from MyEncoder import MyEncoder
from DateEncoder import DateEncoder
import csv

app = Flask(__name__)
# app.config.from_object('multiSetting')

#测试
#默认数据库
# SQLALCHEMY_DATABASE_URI = 'mysql+pymysql://user:[email protected]:0000/users?charset=utf8'
# #绑定的数据库
# SQLALCHEMY_BINDS = {
#    'health': 'mysql+pymysql://user:[email protected]:0000/health?charset=utf8',
#    'algorithm': 'mysql+pymysql://user:[email protected]:0000/algorithm?charset=utf8',
# }

#dev
#默认数据库#mysql+pymysql://user(用户名):password(密码)@主机：端口/库名称?编码格式
SQLALCHEMY_DATABASE_URI = 'mysql+pymysql://user:[email protected]:0000/users?charset=utf8'

#绑定的数据库
SQLALCHEMY_BINDS = {
   'users':'mysql+pymysql://user:[email protected]:0000/users?charset=utf8',
   'health': 'mysql+pymysql://user:[email protected]:0000/health?charset=utf8',
   'algorithm': 'mysql+pymysql://user:[email protected]:0000/algorithm?charset=utf8',
}

app.config['SQLALCHEMY_DATABASE_URI'] = SQLALCHEMY_DATABASE_URI # 默认数据库引擎
app.config['SQLALCHEMY_BINDS'] = SQLALCHEMY_BINDS
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
db = SQLAlchemy(app)
class Blood(db.Model):
    __tablename__ = 'blood_datum_value'
    __bind_key__ = 'health'  # 已设置__bind_key__ 数据库名

    id = db.Column(db.String(80),primary_key=True)
    blood_type = db.Column(db.String(80),unique=True)
    datum_value = db.Column(db.String(80),unique=True)
    standard_interval = db.Column(db.String(80),unique=True)
    create_time = db.Column(db.String(80),unique=True)
    remark = db.Column(db.String(80),unique=True)
    user_id = db.Column(db.String(80),unique=True)
    def keys(self):
        return ('id','blood_type','datum_value','standard_interval','create_time','remark','user_id')

    def __getitem__(self, item):
        return getattr(self, item)

    def __repr__(self):
        return  self.id

class User(db.Model):
    __tablename__ = 'user'
    __bind_key__ = 'users'
    id = db.Column(db.INTEGER,primary_key=True)
    login_name = db.Column(db.String(80),unique=True)
    create_time = db.Column(db.String(80),nullable=False)
    sex = db.Column(db.String(80),nullable=False)
    cellphone = db.Column(db.String(80),nullable=False)
    cname = db.Column(db.String(80),nullable=False)
    password = db.Column(db.String(80),nullable=False)
    head_portrait = db.Column(db.String(80),nullable=False)
    birthday = db.Column(db.String(80),nullable=False)
    stature = db.Column(db.String(80),nullable=False)
    weight = db.Column(db.String(80),nullable=False)
    medical_history = db.Column(db.String(80),nullable=False)
    update_time = db.Column(db.String(80),nullable=False)
    location = db.Column(db.String(80),nullable=False)
    blood_glucose = db.Column(db.String(80),nullable=False)
    lastLoginTime = db.Column(db.String(80),nullable=False)
    newUploadTime = db.Column(db.String(80),nullable=False)
    identity = db.Column(db.String(80),nullable=False)
    deviceid = db.Column(db.String(80),nullable=False)
    head_portrait_time = db.Column(db.String(80),nullable=False)
    accid = db.Column(db.String(80),nullable=False)
    token = db.Column(db.String(80),nullable=False)
    wallet = db.Column(db.String(80),nullable=False)
    idcardNum = db.Column(db.String(80),nullable=False)
    faith = db.Column(db.String(80),nullable=False)
    nation = db.Column(db.String(80),nullable=False)
    status = db.Column(db.String(80),nullable=False)
    country_code = db.Column(db.String(80),nullable=False)
    time_diff = db.Column(db.String(80),nullable=False)
    final_phone = db.Column(db.String(80),nullable=False)
    enterprise_id = db.Column(db.String(80),nullable=False)
    thirdUserid = db.Column(db.String(80),nullable=False)
    isDoctor = db.Column(db.String(80),nullable=False)
    isNurse = db.Column(db.String(80),nullable=False)
    imAccid = db.Column(db.String(80),nullable=False)
    payPassWord = db.Column(db.String(80),nullable=False)
    isCancel = db.Column(db.String(80),nullable=False)
    recommendUser = db.Column(db.String(80),nullable=False)

    def keys(self):
        return ('id','login_name','create_time','sex','cellphone','cname','password','head_portrait','birthday','stature','weight','medical_history','update_time','location','blood_glucose','lastLoginTime','newUploadTime','identity','deviceid','head_portrait_time','accid','token','wallet','idcardNum','faith','nation','status','country_code','time_diff','final_phone','enterprise_id','thirdUserid','isDoctor','isNurse','imAccid','payPassWord','isCancel','recommendUser')

    def __getitem__(self, item):
        return getattr(self, item)

    def __repr__(self):
    #     # return 'User:%s' % self.id,self.login_name,self.create_time,self.sex,self.cellphone,self.cname,self.password,self.head_portrait,self.birthday,self.stature,self.weight,self.medical_history,self.update_time,self.location,self.blood_glucose,self.lastLoginTime,self.newUploadTime,self.identity,self.deviceid,self.head_portrait_time,self.accid,self.token,self.wallet,self.idcardNum,self.faith,self.nation,self.status,self.country_code,self.time_diff,self.final_phone,self.enterprise_id,self.thirdUserid,self.isDoctor,self.isNurse,self.imAccid,self.payPassWord,self.isCancel,self.recommendUser
        return  self.id
#特征值表1
class ScaleOne(db.Model):
    __tablename__ = 'disease_scale_value_one'
    __bind_key__ = 'algorithm'  # 已设置__bind_key__ 数据库名
    id = db.Column(db.INTEGER,primary_key=True)
    create_time = db.Column(db.String(80),unique=False)
    update_time = db.Column(db.String(80),unique=False)
    user_id = db.Column(db.String(80),unique=False)
    start_value_scale = db.Column(db.String(80),unique=False)
    start_index_scale = db.Column(db.String(80),unique=False)
    end_value_scale = db.Column(db.String(80),unique=False)
    end_index_scale = db.Column(db.String(80),unique=False)
    center_value_scale = db.Column(db.String(80),unique=False)
    center_index_scale = db.Column(db.String(80),unique=False)
    downcenter_value_scale = db.Column(db.String(80),unique=False)
    downcenter_index_scale = db.Column(db.String(80),unique=False)
    are_scale = db.Column(db.String(80),unique=False)
    width_scale = db.Column(db.String(80),unique=False)
    single_length_scale = db.Column(db.String(80),unique=False)
    speed_scale = db.Column(db.String(80),unique=False)
    aone_value_scale = db.Column(db.String(80),unique=False)
    aone_index_scale = db.Column(db.String(80),unique=False)
    atwo_value_scale = db.Column(db.String(80),unique=False)
    atwo_index_scale = db.Column(db.String(80),unique=False)
    athr_value_scale = db.Column(db.String(80),unique=False)
    athr_index_scale = db.Column(db.String(80),unique=False)
    bone_value_scale = db.Column(db.String(80),unique=False)
    bone_index_scale = db.Column(db.String(80),unique=False)
    average_press_scale = db.Column(db.String(80),unique=False)
    sugarValue = db.Column(db.String(80),unique=False)
    bloodStick_scale = db.Column(db.String(80),unique=False)

    def __getitem__(self, item):
        return getattr(self, item)

    def __repr__(self):
    #     # return 'User:%s' % self.id,self.login_name,self.create_time,self.sex,self.cellphone,self.cname,self.password,self.head_portrait,self.birthday,self.stature,self.weight,self.medical_history,self.update_time,self.location,self.blood_glucose,self.lastLoginTime,self.newUploadTime,self.identity,self.deviceid,self.head_portrait_time,self.accid,self.token,self.wallet,self.idcardNum,self.faith,self.nation,self.status,self.country_code,self.time_diff,self.final_phone,self.enterprise_id,self.thirdUserid,self.isDoctor,self.isNurse,self.imAccid,self.payPassWord,self.isCancel,self.recommendUser
        return  self.id
#特征值表2
class ScaleTwo(db.Model):
    __tablename__ = 'disease_scale_value_two'
    __bind_key__ = 'algorithm'  # 已设置__bind_key__ 数据库名
    id = db.Column(db.INTEGER,primary_key=True)
    disease_scale_one_id = db.Column(db.String(80),unique=False)
    btwo_value_scale = db.Column(db.String(80),unique=False)
    btwo_index_scale = db.Column(db.String(80),unique=False)
    bthr_value_scale = db.Column(db.String(80),unique=False)
    bthr_index_scale = db.Column(db.String(80),unique=False)
    cone_value_scale = db.Column(db.String(80),unique=False)
    cone_index_scale = db.Column(db.String(80),unique=False)
    ctwo_value_scale = db.Column(db.String(80),unique=False)
    ctwo_index_scale = db.Column(db.String(80),unique=False)
    hertrate_scale = db.Column(db.String(80),unique=False)
    up_time_scale = db.Column(db.String(80),unique=False)
    down_time_scale = db.Column(db.String(80),unique=False)
    single_wave_length_scale = db.Column(db.String(80),unique=False)
    aone_shallow_up_scale = db.Column(db.String(80),unique=False)
    aone_shallow_dwon_scale = db.Column(db.String(80),unique=False)
    aone_center_up_scale = db.Column(db.String(80),unique=False)
    aone_center_dwon_scale = db.Column(db.String(80),unique=False)
    aone_deep_up_scale = db.Column(db.String(80),unique=False)
    aone_deep_dwon_scale = db.Column(db.String(80),unique=False)
    atwo_shallow_up_scale = db.Column(db.String(80),unique=False)
    atwo_shallow_dwon_scale = db.Column(db.String(80),unique=False)
    atwo_center_up_scale = db.Column(db.String(80),unique=False)
    atwo_center_dwon_scale = db.Column(db.String(80),unique=False)
    atwo_deep_up_scale = db.Column(db.String(80),unique=False)
    atwo_deep_dwon_scale = db.Column(db.String(80),unique=False)
    athr_shallow_up_scale = db.Column(db.String(80),unique=False)
    athr_shallow_dwon_scale = db.Column(db.String(80),unique=False)
    athr_center_up_scale = db.Column(db.String(80),unique=False)
    athr_center_dwon_scale = db.Column(db.String(80),unique=False)
    athr_deep_up_scale = db.Column(db.String(80),unique=False)
    athr_deep_dwon_scale = db.Column(db.String(80),unique=False)
    updateFlag = db.Column(db.String(80),unique=False)
    singleWaveLengthScaleStr = db.Column(db.String(80),unique=False)

    def __getitem__(self, item):
        return getattr(self, item)

    def __repr__(self):
    #     # return 'User:%s' % self.id,self.login_name,self.create_time,self.sex,self.cellphone,self.cname,self.password,self.head_portrait,self.birthday,self.stature,self.weight,self.medical_history,self.update_time,self.location,self.blood_glucose,self.lastLoginTime,self.newUploadTime,self.identity,self.deviceid,self.head_portrait_time,self.accid,self.token,self.wallet,self.idcardNum,self.faith,self.nation,self.status,self.country_code,self.time_diff,self.final_phone,self.enterprise_id,self.thirdUserid,self.isDoctor,self.isNurse,self.imAccid,self.payPassWord,self.isCancel,self.recommendUser
        return  self.id


@app.route('/')
def hello_world():
    return 'Response'


@app.route('/select_user')
def select_user():
    # 查询所有用户
    users_list = User.query.all()
    list = [dict(i) for i in users_list]
    return json.dumps(list,cls=DateEncoder,indent=4)

@app.route('/queryT')
def queryT():
    users = User.query.with_entities(User.id,User.sex,User.weight,User.stature,User.birthday).distinct().all()
    list = [dict(i) for i in users]
    return json.dumps(list, cls=DateEncoder, indent=4)
@app.route('/blood')
def blood():
    blood_value = Blood.query.with_entities(Blood.datum_value).filter(Blood.blood_type==3).all()
    list = [dict(i) for i in blood_value]
    return json.dumps(list, cls=DateEncoder, indent=4)
#关联查询
@app.route('/bagas')
def bagas():
    #先产讯出user表里面的信息，然取出userId再去查找血糖基准值，然后再去查找oldlength
    users = User.query.with_entities(User.id,User.sex,User.weight,User.stature,User.birthday).distinct().all()
    # blood_value=Blood.query.with_entities(Blood.datum_value,Blood.user_id,Blood.blood_type).filter(Blood.blood_type==3).distinct().all()
    N_users=[]
    for i in users:
        blood_value = Blood.query.with_entities(Blood.datum_value).filter(i[0] == Blood.user_id , Blood.blood_type == 3).all()
        #先查找出来基准值集合[[]],然后取出来[],再把[]放到N_users
        if len(blood_value) != 0:
            n1=[s for s in i]
            n1.append(blood_value[0][0])
            N_users.append(n1)

    
    #传入数据进行数据保存为cvs
    writeCVS(N_users)
    return json.dumps(N_users, cls=DateEncoder, indent=4)

#2022/2/15添加
#查询old_length
@app.route('/old_value')
def feature():
    #查询user表数据
    users = User.query.with_entities(User.id).distinct().all()
    single_wave_length = []

    for i in users:
        single = db.session.query(ScaleOne.id, ScaleTwo.single_wave_length_scale).join(ScaleTwo, ScaleOne.id == ScaleTwo.disease_scale_one_id).filter(ScaleOne.user_id == i[0]).all()
        if len(single) != 0:
            #元组转换为列表
            single_wave_length.append(list(single[0]))

    print(single_wave_length)
    return json.dumps(single_wave_length, cls=DateEncoder, indent=4)



def writeCVS(user):
    # 1. 创建文件对象
    f = open('blood.csv', 'w', encoding='utf-8')
    # 2. 基于文件对象构建 csv写入对象
    csv_writer = csv.writer(f)
    # 3. 构建列表头
    csv_writer.writerow(["id号", "性别", "体重","身高","年龄","血糖值"])

    # 4. 写入csv文件内容
    for i in user:
        csv_writer.writerow(i)
    # 5. 关闭文件
    f.close()
   #备注，明天开始数据训练工作（嘻嘻）
   #备注训练工作完成，明天开始java调用python的大数据模型，pkl文件

if __name__ == '__main__':
    app.run()

关于一段代码的记录