如何使用 Pony ORM 存储 Python 枚举?
How can I store a Python Enum using Pony ORM?
假设我这里有这个简单的小 Pony ORM 映射。内置枚举 class 是 Python 3.4 的新增功能,并向后移植到 2.7。
from enum import Enum
from pony.orm import Database, Required
class State(Enum):
ready = 0
running = 1
errored = 2
if __name__ == '__main__':
db = Database('sqlite', ':memory:', create_db=True)
class StateTable(db.Entity):
state = Required(State)
db.generate_mapping(create_tables=True)
当我运行程序时,抛出一个错误。
TypeError: No database converter found for type <enum 'State'>
发生这种情况是因为 Pony 不支持映射枚举类型。当然,这里的解决方法是只存储 Enum 值,并在 Class StateTable 中提供一个 getter 将值再次转换为 Enum。但这是乏味且容易出错的。我也可以只使用另一个 ORM。如果这个问题变得太令人头疼,也许我会的。但如果可以的话,我宁愿坚持使用 Pony。
我更愿意创建一个数据库转换器来存储枚举,就像错误消息所暗示的那样。有人知道怎么做吗?
更新:
感谢 Ethan 的帮助,我想出了以下解决方案。
from enum import Enum
from pony.orm import Database, Required, db_session
from pony.orm.dbapiprovider import StrConverter
class State(Enum):
ready = 0
running = 1
errored = 2
class EnumConverter(StrConverter):
def validate(self, val):
if not isinstance(val, Enum):
raise ValueError('Must be an Enum. Got {}'.format(type(val)))
return val
def py2sql(self, val):
return val.name
def sql2py(self, value):
# Any enum type can be used, so py_type ensures the correct one is used to create the enum instance
return self.py_type[value]
if __name__ == '__main__':
db = Database('sqlite', ':memory:', create_db=True)
# Register the type converter with the database
db.provider.converter_classes.append((Enum, EnumConverter))
class StateTable(db.Entity):
state = Required(State)
db.generate_mapping(create_tables=True)
with db_session:
s = StateTable(state=State.ready)
print('Got {} from db'.format(s.state))
Excerpt from some random mailing list:
2.2. CONVERTER METHODS
Each converter class should define the following methods:
class MySpecificConverter(Converter):
def init(self, kwargs):
# Override this method to process additional positional
# and keyword arguments of the attribute
if self.attr is not None:
# self.attr.args can be analyzed here
self.args = self.attr.args
self.my_optional_argument = kwargs.pop("kwarg_name")
# You should take all valid options from this kwargs
# What is left in is regarded as unrecognized option
def validate(self, val):
# convert value to the necessary type (e.g. from string)
# validate all necessary constraints (e.g. min/max bounds)
return val
def py2sql(self, val):
# prepare the value (if necessary) to storing in the database
return val
def sql2py(self, value):
# convert value (if necessary) after the reading from the db
return val
def sql_type(self):
# generate corresponding SQL type, based on attribute options
return "SOME_SQL_TYPE_DEFINITION"
You can study the code of the existing converters to see how these methods
are implemented.
假设我这里有这个简单的小 Pony ORM 映射。内置枚举 class 是 Python 3.4 的新增功能,并向后移植到 2.7。
from enum import Enum
from pony.orm import Database, Required
class State(Enum):
ready = 0
running = 1
errored = 2
if __name__ == '__main__':
db = Database('sqlite', ':memory:', create_db=True)
class StateTable(db.Entity):
state = Required(State)
db.generate_mapping(create_tables=True)
当我运行程序时,抛出一个错误。
TypeError: No database converter found for type <enum 'State'>
发生这种情况是因为 Pony 不支持映射枚举类型。当然,这里的解决方法是只存储 Enum 值,并在 Class StateTable 中提供一个 getter 将值再次转换为 Enum。但这是乏味且容易出错的。我也可以只使用另一个 ORM。如果这个问题变得太令人头疼,也许我会的。但如果可以的话,我宁愿坚持使用 Pony。
我更愿意创建一个数据库转换器来存储枚举,就像错误消息所暗示的那样。有人知道怎么做吗?
更新: 感谢 Ethan 的帮助,我想出了以下解决方案。
from enum import Enum
from pony.orm import Database, Required, db_session
from pony.orm.dbapiprovider import StrConverter
class State(Enum):
ready = 0
running = 1
errored = 2
class EnumConverter(StrConverter):
def validate(self, val):
if not isinstance(val, Enum):
raise ValueError('Must be an Enum. Got {}'.format(type(val)))
return val
def py2sql(self, val):
return val.name
def sql2py(self, value):
# Any enum type can be used, so py_type ensures the correct one is used to create the enum instance
return self.py_type[value]
if __name__ == '__main__':
db = Database('sqlite', ':memory:', create_db=True)
# Register the type converter with the database
db.provider.converter_classes.append((Enum, EnumConverter))
class StateTable(db.Entity):
state = Required(State)
db.generate_mapping(create_tables=True)
with db_session:
s = StateTable(state=State.ready)
print('Got {} from db'.format(s.state))
Excerpt from some random mailing list:
2.2. CONVERTER METHODS
Each converter class should define the following methods:
class MySpecificConverter(Converter): def init(self, kwargs): # Override this method to process additional positional # and keyword arguments of the attribute if self.attr is not None: # self.attr.args can be analyzed here self.args = self.attr.args self.my_optional_argument = kwargs.pop("kwarg_name") # You should take all valid options from this kwargs # What is left in is regarded as unrecognized option def validate(self, val): # convert value to the necessary type (e.g. from string) # validate all necessary constraints (e.g. min/max bounds) return val def py2sql(self, val): # prepare the value (if necessary) to storing in the database return val def sql2py(self, value): # convert value (if necessary) after the reading from the db return val def sql_type(self): # generate corresponding SQL type, based on attribute options return "SOME_SQL_TYPE_DEFINITION"
You can study the code of the existing converters to see how these methods are implemented.