是否有一种简单的方法来遍历列名和值对?

我的SQLAlchemy版本是0.5.6

下面是我尝试使用dict(row)的示例代码:

import sqlalchemy
from sqlalchemy import *
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

print "sqlalchemy version:",sqlalchemy.__version__ 

engine = create_engine('sqlite:///:memory:', echo=False)
metadata = MetaData()
users_table = Table('users', metadata,
     Column('id', Integer, primary_key=True),
     Column('name', String),
)
metadata.create_all(engine) 

class User(declarative_base()):
    __tablename__ = 'users'
    
    id = Column(Integer, primary_key=True)
    name = Column(String)
    
    def __init__(self, name):
        self.name = name

Session = sessionmaker(bind=engine)
session = Session()

user1 = User("anurag")
session.add(user1)
session.commit()

# uncommenting next line throws exception 'TypeError: 'User' object is not iterable'
#print dict(user1)
# this one also throws 'TypeError: 'User' object is not iterable'
for u in session.query(User).all():
    print dict(u)

在我的系统输出上运行这段代码:

Traceback (most recent call last):
  File "untitled-1.py", line 37, in <module>
    print dict(u)
TypeError: 'User' object is not iterable

当前回答

如果你的模型表列不需要mysql列。

例如:

class People:
    id: int = Column(name='id', type_=Integer, primary_key=True)
    createdTime: datetime = Column(name='create_time', type_=TIMESTAMP,
                               nullable=False,
                               server_default=text("CURRENT_TIMESTAMP"),
                               default=func.now())
    modifiedTime: datetime = Column(name='modify_time', type_=TIMESTAMP,
                                server_default=text("CURRENT_TIMESTAMP"),
                                default=func.now())

需要使用:

 from sqlalchemy.orm import class_mapper 
 def asDict(self):
        return {x.key: getattr(self, x.key, None) for x in
            class_mapper(Application).iterate_properties}

如果你使用这种方式,你可以得到modify_time和create_time都是None

{'id': 1, 'create_time': None, 'modify_time': None}


    def to_dict(self):
        return {c.name: getattr(self, c.name, None)
         for c in self.__table__.columns}

因为类属性名称不等于列存储在mysql

其他回答

您可以像这样将sqlalchemy对象转换为字典,并将其作为json/dictionary返回。

辅助功能:

import json
from collections import OrderedDict


def asdict(self):
    result = OrderedDict()
    for key in self.__mapper__.c.keys():
        if getattr(self, key) is not None:
            result[key] = str(getattr(self, key))
        else:
            result[key] = getattr(self, key)
    return result


def to_array(all_vendors):
    v = [ ven.asdict() for ven in all_vendors ]
    return json.dumps(v) 

驱动程序功能:

def all_products():
    all_products = Products.query.all()
    return to_array(all_products)
class User(object):
    def to_dict(self):
        return dict([(k, getattr(self, k)) for k in self.__dict__.keys() if not k.startswith("_")])

这应该有用。

Elixir是这样做的。这个解决方案的价值在于,它允许递归地包括关系的字典表示。

def to_dict(self, deep={}, exclude=[]):
    """Generate a JSON-style nested dict/list structure from an object."""
    col_prop_names = [p.key for p in self.mapper.iterate_properties \
                                  if isinstance(p, ColumnProperty)]
    data = dict([(name, getattr(self, name))
                 for name in col_prop_names if name not in exclude])
    for rname, rdeep in deep.iteritems():
        dbdata = getattr(self, rname)
        #FIXME: use attribute names (ie coltoprop) instead of column names
        fks = self.mapper.get_property(rname).remote_side
        exclude = [c.name for c in fks]
        if dbdata is None:
            data[rname] = None
        elif isinstance(dbdata, list):
            data[rname] = [o.to_dict(rdeep, exclude) for o in dbdata]
        else:
            data[rname] = dbdata.to_dict(rdeep, exclude)
    return data

我们可以在dict中得到一个对象列表:

def queryset_to_dict(query_result):
   query_columns = query_result[0].keys()
   res = [list(ele) for ele in query_result]
   dict_list = [dict(zip(query_columns, l)) for l in res]
   return dict_list

query_result = db.session.query(LanguageMaster).all()
dictvalue=queryset_to_dict(query_result)

如果你的模型表列不需要mysql列。

例如:

class People:
    id: int = Column(name='id', type_=Integer, primary_key=True)
    createdTime: datetime = Column(name='create_time', type_=TIMESTAMP,
                               nullable=False,
                               server_default=text("CURRENT_TIMESTAMP"),
                               default=func.now())
    modifiedTime: datetime = Column(name='modify_time', type_=TIMESTAMP,
                                server_default=text("CURRENT_TIMESTAMP"),
                                default=func.now())

需要使用:

 from sqlalchemy.orm import class_mapper 
 def asDict(self):
        return {x.key: getattr(self, x.key, None) for x in
            class_mapper(Application).iterate_properties}

如果你使用这种方式,你可以得到modify_time和create_time都是None

{'id': 1, 'create_time': None, 'modify_time': None}


    def to_dict(self):
        return {c.name: getattr(self, c.name, None)
         for c in self.__table__.columns}

因为类属性名称不等于列存储在mysql