将类实例合并为其他实例

如果你有多个类的实例,并且希望将它们合并成一个新的实例(即将这些实例的数据或者状态合并到一个新的对象中),你可以根据具体的需求设计合并的逻辑。下面是一个简单的例子,展示如何将多个类实例合并到一个新的实例中。

假设我们有一个类 Person,并且有多个 Person 实例,我们希望将这些实例的属性合并到一个新的实例中。我们可以通过自定义合并方法来实现。

在这里插入图片描述

1、问题背景

我在设计一个“拼图”工具,用于管理不同水管类型管件的组合,以获得不同的功能。

我有不同类型的单管件,每种管件都有不同的功能(冷却器、加热器、净化器等)。
这些不同接口尺寸的管件可以相互连接(1/4英寸、1/6英寸……)。

我希望这些管件可以存储在数据库中,并可以组合成一个新的管件组合(随机或有目的地),但仍然可以被认为是一个功能性管件。
以下是我最初的想法:

class MetaInfo():
    def __init__(self, name, intype,outtype,shape,serialno):
        this.name = name
        this.intype = intype
        this.outtype = outtype
        this.shape = shape
        this.sn = serialno

def parts():
    def __init__(self, meta):
        this.meta = meta

    def linkwith(self, part):
        if part.meta.shape == this.meta.shape: 
        # make it simple, logical here is just same shape can be connected each other 
            return ???         # a new parts combination 
        else:
            raise Error 

m1 = MetaInfo("cooler", "hotwater", "coldwater", "1/4 inch round", "SN:11111" )
m2 = MetaInfo("heater", "coldwater", "hotwater", "1/4 inch round", "SN:22222" )
m3 = MetaInfo("purifier", "coldwater", "hotwater", "1/6 inch round", "SN:33333" )

a = parts(m1)
b = parts(m2)
c = parts(m3)

2、解决方案

from copy import copy
import csv

class Part_Base(object):
    pass

class MultiPart_Base(list):
    pass

class part_meta(type):
    part_names = {}
    parts      = []
    def __init__(cls, cls_name, cls_bases, cls_dict):
        super(part_meta, cls).__init__(cls_name, cls_bases, cls_dict)
        if(not Part_Base in cls_bases):
            part_meta.part_names[cls_name] = cls

    def __call__(self, *args, **kwargs):
        name = kwargs.get("name", "")
        if(part_meta.part_names.has_key(name) and not (self is part_meta.part_names[name])):
            obj = part_meta.part_names[name].__call__(*args, **kwargs)
        else:
            obj = None
            if(not part_meta.part_names.has_key(self.__name__)):
                new_class = part_meta(name, (Generic_Part,), {})
                globals()[name] = new_class
                obj = new_class(*args, **kwargs)
            else:
                obj = super(part_meta, self).__call__(*args, **kwargs)
        if not obj in part_meta.parts:
            part_meta.parts.append(obj)
        return obj

    @classmethod
    def save(cls):
        all_fields = list(reduce(lambda x, y: x | set(y.fields), cls.parts, set([])))
        with open("parts.csv", "w") as file_h:
            writer = csv.DictWriter\
            (
                file_h,
                all_fields,
                restval        = "",
                extrasaction   = "ignore",
                dialect        = "excel",
                lineterminator = "\n",

            )
            writer.writeheader()
            for part in cls.parts:
                writer.writerow({field : getattr(part, field) for field in part.fields})

    @classmethod
    def load(cls):
        with open("parts.csv", "r") as file_h:
            reader = csv.DictReader(file_h)
            for row in reader:
                Part(**row)

class Part(Part_Base):
    __metaclass__ = part_meta
    fields        = []
    def __init__(self, **kwargs):
        for name, value in kwargs.items():
            setattr(self, name, value)
        self.fields += kwargs.keys()

    def __repr__(self):
        return "<%s>" % self.description

    @property
    def description(self):           
        return "%s: %s %s %s %s" % (self.name, self.intype, self.outtype, self.shape, self.serialno)

    def linkwith(self, *parts):
        return Generic_MultiPart(self, *parts)

class Generic_Part(Part):
    def __init__(self, **kwargs):
        kwargs["name"] = self.__class__.__name__
        super(Generic_Part, self).__init__(**kwargs)

class Generic_MultiPart(MultiPart_Base):
    def __init__(self, *parts):
        super(Generic_MultiPart, self).__init__()
        if len(parts) >= 2:
            self.shape = parts[0].shape
            self.linkwith(*parts)
        else:
            raise ValueError("Not enough parts")

    def __repr__(self):
        return "<MultiPart: %s>" % super(Generic_MultiPart, self).__repr__()

    def linkwith(self, *parts):
        for part in parts:
            if part.shape == self.shape:
                if isinstance(part, Part):
                    self.append(part)
                elif isinstance(part, MultiPart_Base):
                    self.extend(part)
            else:
                raise ValueError("Incompatible parts")
        return self

class cooler(Generic_Part):
    intype  = "hotwater"
    outtype = "coldwater"
    fields  = ["intype", "outtype"]

class heater(Generic_Part):
    intype  = "coldwater"
    outtype = "hotwater"
    fields  = ["intype", "outtype"]

def make_some_parts():
    some_parts = \
    [
        # This is actually a cooler object
        # The metaclass uses the cooler class from above
        # to create the object
        Part
        (
            name     = "cooler",
            shape    = "1/4 inch round",
            serialno = "SN:11111"
        ),
        # Using the heater class directly
        heater
        (
            shape    = "1/4 inch round",
            serialno = "SN:22222"
        ),
        Part
        (
            name     = "purifier",
            intype   = "coldwater",
            outtype  = "hotwater",
            shape    = "1/6 inch round",
            serialno = "SN:33333"
        ),
        Part
        (
            name     = "carbon_filter",
            intype   = "coldwater",
            outtype  = "coldwater",
            shape    = "1/4 inch round",
            serialno = "SN:33333"
        )
    ]

    useless_part = some_parts[0].linkwith(some_parts[1])
    print useless_part
    filter_part  = copy(useless_part).linkwith(some_parts[3])
    print filter_part

    part_meta.save()

def load_some_parts():
    part_meta.load()
    print part_meta.parts

You can manually edit parts.csv (in Excel or other) and it will make the parts described.
The save/restore functionality hasn't been extended to MultiParts; you can do that.

总结:

  1. 合并属性:可以通过类的静态方法来将多个实例的属性合并到一个新的实例。
  2. 自定义合并逻辑:根据需求,可以设计复杂的合并规则,比如对数字属性取平均,或者对列表进行合并和去重等。
  3. 灵活性:这种方式可以灵活地应用于不同类型的类,并根据类的具体属性定义合并策略。

这种方法适用于需要将多个实例合并为一个新实例的场景,尤其是当你想要保持原始数据的完整性并创建一个新的综合实例时。

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