import pymysql
import pandas as pd
from pandas import DataFrame
from sqlalchemy import create_engine

class mysql_qiao():
    def __init__(self,host,port,user,password,database):
        self.host=host
        self.port=port
        self.user=user
        self.password=password
        self.database=database
        self._conn = None
        self.Connect()

    def Connect(self):
        if not self._conn:
            self._conn=pymysql.connect(host=self.host,port=self.port,user=self.user,password= self.password,database=self.database,charset='utf8')


    #查詢資料庫表中的所有資料
    def Query(self,sql):
        if self.Connect():
            pass
        else:
            self.Connect()
        self.cursor = self._conn.cursor()
        self.excute = self.cursor.execute(sql)

        row_all = self.cursor.fetchall()
        index = self.cursor.description
        new_index=[]
        for i in range(len(index)):
            new_index.append(index[i][0])
        data_sql=DataFrame(list(row_all),columns=new_index)

        return data_sql
    def Exec(self, sql):
        """
        對資料庫執行增、刪、改操作，傳入需要執行的SQL語句
        """
        if self.Connect():
            pass
        else:
            self.Connect()
        self.cursor = self._conn.cursor()

        self.cursor.execute(sql)
        # self._conn.commit()


    #資料儲存到資料庫
    def my_keep(self,data,filename):
        if self.Connect():
            pass
        else:
            self.Connect()
        db_url = (
        '{driver}://{user}:{pwd}@{host}:{port}/{name}?charset=utf8'.format(driver='mysql+pymysql', user=self.user,
                                                                           port=self.port, pwd=self.password,
                                                                           host=self.host, name=self.database))
        my_engine = create_engine(db_url)
        pd.io.sql.to_sql(data, filename, my_engine, schema=self.database, if_exists='append', index=False,index_label=False)
        self.my_close()
    def my_close(self):
        self.cursor.close()
        self._conn.close()

from sqlalchemy import create_engine
import numpy as np
import pandas as pd
import pymysql
import sys
sys.path.append("../")

from mysql import *





if __name__ == '__main__':


    pym=mysql_qiao(host='', port=3306, user='',
                   password='', database='')

    statistics_sql='select * from algorithm.cam_statistics where total_id={0} and category_manual={1}'.format(1,0)
    statistics_data=pym.Query(statistics_sql)
    print('statistics_data',statistics_data)


    #插入資料
    nick='jackjones官方旗艦'
    price=15000
    date_str='2018-06-21'
    insert_sql="insert into algorithm.cam_parameter(nick,budget,date_str) values ('{0}',{1},'{2}')".format(nick,price,date_str)
    pym.Exec(insert_sql)

    #跟新資料
    name='jack'
    update_sql="update algorithm.cam_parameter set nick='{0}' where id={1}".format(name,3)
    pym.Exec(update_sql)

    #刪除資料
    del_sql='delete from algorithm.cam_parameter where id={0}'.format(3)
    pym.Exec(del_sql)

#儲存資料
df=pd.DataFrame({
   'nick':['m1','m2'],
    'budget':[1000,2000],
    'date_str':['2018-10-10','2018-10-12']
})
pym.my_keep(df,'cam_parameter')