pywong 3.1.5

pywong工具模块.

pywong

介绍

Python工具,封装常用操作.

安装教程

1. pip安装

   pip install pywong
   pip install pywong==1.1.1
   

使用说明

1. db操作示例

   • mysql:

   from pywong.db.mysql.settings import DEFAULT, DATABASES
   from pywong.db.mysql.utils import DbHelper
   
   
   def run():
       """run方法"""
       DEFAULT['host'] = '127.0.0.1'
       DEFAULT['password'] = '123456'
   
       DATABASES['default_database'] = 'demo'
   
       db_help = DbHelper(host=DEFAULT['host'], user=DEFAULT['user'], password=DEFAULT['password'],
                          port=DEFAULT['port'], database=DATABASES['default_database'])
   
       sql = 'SELECT * FROM sys_user'
       print(db_help.execute(sql))
   
   
   if __name__ == "__main__":
       """main方法"""
       run()
   
   输出：
   [{'id': 1, 'dept_id': 4, 'status': None, 'remark': None}]
   

   • postgresql:

   from pywong.db.postgresql.settings import DEFAULT, DATABASES
   from pywong.db.postgresql.utils import DbHelper
   
   
   def run():
       """run方法"""
       DEFAULT['host'] = '127.0.0.1'
       DEFAULT['password'] = '123456'
   
       DATABASES['default_database'] = 'demo'
   
       db_help = DbHelper(host=DEFAULT['host'], user=DEFAULT['user'], password=DEFAULT['password'],
                          port=DEFAULT['port'], database=DATABASES['default_database'])
   
       sql = 'SELECT * FROM sys_user'
       print(db_help.execute(sql))
   
   
   if __name__ == "__main__":
       """main方法"""
       run()
   
   输出：
   [{'id': 1, 'dept_id': 4, 'status': None, 'remark': None}]
   

   • mssql:

   from pywong.db.mssql.settings import DEFAULT, DATABASES
   from pywong.db.mssql.utils import DbHelper
   
   
   def run():
       """run方法"""
       DEFAULT['server'] = '127.0.0.1'
       DEFAULT['password'] = '123456'
   
       DATABASES['default_database'] = 'demo'
   
       db_help = DbHelper(server=DEFAULT['server'], user=DEFAULT['user'], password=DEFAULT['password'],
                      port=DEFAULT['port'], database=DATABASES['default_database'])
   
       sql = 'SELECT * FROM sys_user'
       print(db_help.execute(sql))
   
   
   if __name__ == "__main__":
       """main方法"""
       run()
   
   输出：
   [{'id': 1, 'dept_id': 4, 'status': None, 'remark': None}]
   

   • 快捷操作:

   from pywong.db.mysql.settings import DEFAULT, DATABASES
   from pywong.app.db_tools import get_db_helper
   from pywong.db.settings import DATABASE_TYPE
   
   
   def run():
       """run方法"""
       DEFAULT['host'] = '127.0.0.1'
       DEFAULT['password'] = '123456'
   
       DATABASES['default_database'] = 'demo'
   
       mysql_helper, _, _ = get_db_helper(DATABASE_TYPE.MYSQL)
   
       sql = 'SELECT * FROM sys_user'
   
       print(mysql_helper.execute(sql))
   
   
   if __name__ == "__main__":
       """main方法"""
       run()
   
   输出：
   [{'id': 1, 'dept_id': 4, 'status': None, 'remark': None}]
   

2. 资源监测示例

   from pywong.monitor.resource_monitor import Resource
   import time
   
   
   def run():
       """run方法"""
       system_monitor = Resource()
       while True:
           time.sleep(2)
           print(system_monitor.memory)
           print(system_monitor.cpu)
           print(system_monitor.hard_disk)
   
   
   if __name__ == '__main__':
       """main方法"""
       run()
   
   输出：
   Memory usage rate: 54.2%
   CPU usage rate: 0.0%
   HardDisk C:\ usage rate: 38.5%
   HardDisk D:\ usage rate: 9.4%
   

3. ml及异常值检测示例

   • KNNClassifier:

   from pywong.ml.sk.knn import KNNClassifier
   from pywong.db.postgresql.settings import DEFAULT, DATABASES
   
   
   def run():
       """run方法"""
       DEFAULT['host'] = '127.0.0.1'
       DEFAULT['password'] = '123456'
   
       DATABASES['default_database'] = 'ems'
   
       knn = KNNClassifier(name='knn', k=1)
       knn_clf = knn.fit(target='zls_value', 
                         sql="SELECT zls_value, qty, state FROM data_all", 
                         test_size=0.1)
       print(knn_clf.predict_inner())
       print(knn_clf.score())
       knn_clf.save()
   
   
   if __name__ == '__main__':
       """main方法"""
       run()
   
   输出：
   [0.]
   1.0
   保存D:\model\knn.model.
   

   • MLinearRegression:

   from pywong.ml.sk.linear_regression import MLinearRegression
   from pywong.db.postgresql.settings import DEFAULT, DATABASES
   
   
   def run():
      """run方法"""
      DEFAULT['host'] = '124.222.138.109'
      DEFAULT['password'] = 'ghy123'
   
      DATABASES['default_database'] = 'ems'
   
      lin_reg = MLinearRegression('lin_reg')
      lin_reg.fit(target='zls_value', 
                  sql="SELECT zls_value, qty, state FROM data_all", 
                  test_size=0.1)
   
      print(lin_reg.coef_)
      print(lin_reg.intercept_)
   
   
   if __name__ == '__main__':
      """main方法"""
      run()
   
   输出：
   [2.57626055e-02 1.54789412e+02]
   81.00259523809521
   

   • 其他:

   略
   

版本说明

1. pywong 3.1.0

   功能列表：

   • MySql、PostgreSql和SqlServer驱动.

   • 资源监测.

   • KNNClassifier、MLinearRegression、RandomForest和TimeSeriesProphet封装.

   • 异常值检测.

2. pywong 3.1.1

   功能列表：

   • 略

   更新内容：

   • 适配CentOS 7.x系统

3. pywong 3.1.2

   功能列表：

   • 略

   更新内容：

   • 优化get_db_helper函数