def delete(self):
if self.__exist__ == False:
logging.warning('删除失败,__exist__ = False')
return False #不是从表中取出的数据, 直接返回False
sql_cmd = self.operation.delete(self) # 生成sql语句
logging.info('删除 %s' % sql_cmd)
return executeSQL(sql_cmd)
def min(cls, cols): # 参数不能是'*'且只能传入一个字段返回行数
sql_cmd = cls.operation.sum(cls, cols, 'min') # 生成sql语句
logging.info('总和 %s' % sql_cmd)
return queryNumber(sql_cmd)
def sum(cls, cols): # 参数不能是'*'且只能传入一个字段返回行数 类似的还有 max min avg
sql_cmd = cls.operation.sum(cls, cols) # 生成sql语句
logging.info('总和 %s' % sql_cmd)
return queryNumber(sql_cmd)
def count(cls, cols='*'): # 参数可以是"*"或者是一个字段
sql_cmd = cls.operation.count(cls, cols) # 生成sql语句
logging.info('数量 %s' % sql_cmd)
return queryNumber(sql_cmd)
def createTable(cls): # 创建表
sql_cmd = cls.operation.createTable(cls) #生成sql语句
logging.info('创建表=>%s' % sql_cmd)
return executeSQL(sql_cmd)
def one(cls):
sql_cmd = cls.operation.one(cls) # 生成sql语句
logging.info('数据(one) %s' % sql_cmd)
data = queryData(sql_cmd, cls)
return data[0] if data != None and len(
data) > 0 else None #查询结果为零时返回None
def all(cls):
sql_cmd = cls.operation.all(cls) # 生成sql语句
logging.info('数据(all) %s' % sql_cmd)
return queryData(sql_cmd, cls)
def update(self):
if self.__exist__ == False:
return self.save() #不是从表中取出的数据, 更新时返回保存的sql名
sql_cmd = self.operation.update(self) # 生成sql语句
logging.info('更新 %s' % sql_cmd)
return executeSQL(sql_cmd)
def deleteOne(cls, *args, **kwargs):
sql_cmd = cls.operation.deleteOne(cls, *args, **kwargs) # 生成sql语句
logging.info('deleteOne %s' % sql_cmd)
return executeSQL(sql_cmd)
def deleteAll(cls, *args, **kwargs): # condition为None时删除所有
sql_cmd = cls.operation.deleteAll(cls, *args, **kwargs) # 生成sql语句
logging.info('deleteAll %s' % sql_cmd)
return executeSQL(sql_cmd)
def save(self):
sql_cmd = self.operation.save(self) # 生成sql语句
logging.info('插入 %s' % sql_cmd)
return executeSQL(sql_cmd)
def updateOne(cls, mappings, *args, **kwargs):
sql_cmd = cls.operation.updateOne(cls, mappings, *args,
**kwargs) # 生成sql语句
logging.info('updateOne %s' % sql_cmd)
return executeSQL(sql_cmd)
