import pandas as pd
#import tushare as ts
from sqlalchemy import create_engineimport baostock as bs
#### 登陆系统 ####
lg = bs.login()
# 显示登陆返回信息
print('login respond error_code:'+lg.error_code)
print('login respond  error_msg:'+lg.error_msg)
#### 获取沪深A股历史K线数据 ####
# 详细指标参数，参见“历史行情指标参数”章节；“分钟线”参数与“日线”参数不同。
# 分钟线指标：date,time,code,open,high,low,close,volume,amount,adjustflag
rs = bs.query_history_k_data_plus("sh.600000","date,code,open,high,low,close,preclose,volume,amount,adjustflag,turn,tradestatus,pctChg,isST",start_date='2017-07-01', end_date='2017-12-31',frequency="d", adjustflag="3")
print('query_history_k_data_plus respond error_code:'+rs.error_code)
print('query_history_k_data_plus respond  error_msg:'+rs.error_msg)
#### 打印结果集 ####
data_list = []
while (rs.error_code == '0') & rs.next():# 获取一条记录，将记录合并在一起data_list.append(rs.get_row_data())
result = pd.DataFrame(data_list, columns=rs.fields)#### 结果集输出到csv文件 ####
result.to_csv("D:\\history_A_stock_k_data.csv", index=False)
print(result)
#engine=create_engine('mysql+pymysql://root:1234@127.0.0.1/mysql?charset=utf8mb4')
engine=create_engine('mysql+pymysql://root:1234@127.0.0.1/mysql?charset=utf8')
#result.to_sql(name='sh600000',con=engine,schema='mysql',if_exists='append',index_label='date')
data = pd.read_csv('D:\\history_A_stock_k_data.csv')
data.to_sql('mysql', con=engine, if_exists='replace')
print('success to sql!')
engine.dispose()