在我的模型中我有:

class Alias(MyBaseModel):
remote_image = models.URLField(
    max_length=500, null=True,
    help_text='''
        A URL that is downloaded and cached for the image.
        Only used when the alias is made
    '''
)
    image = models.ImageField(
        upload_to='alias', default='alias-default.png',
        help_text="An image representing the alias"
    )

    
    def save(self, *args, **kw):
        if (not self.image or self.image.name == 'alias-default.png') and self.remote_image :
            try :
                data = utils.fetch(self.remote_image)
                image = StringIO.StringIO(data)
                image = Image.open(image)
                buf = StringIO.StringIO()
                image.save(buf, format='PNG')
                self.image.save(
                    hashlib.md5(self.string_id).hexdigest() + ".png", ContentFile(buf.getvalue())
                )
            except IOError :
                pass

这在remote_image第一次改变的时候工作得很好。

当有人修改了别名上的remote_image时,我如何获取一个新的图像?其次,是否有更好的方法来缓存远程映像?


当前回答

我找到了这个包django-lifecycle。 它使用django信号来定义@hook装饰器,非常健壮可靠。我用过它,它是一种幸福。

其他回答

@ivanlivski的mixin很棒。

我把它扩展到

确保它适用于Decimal字段。 公开属性以简化使用

更新后的代码可在这里: https://github.com/sknutsonsf/python-contrib/blob/master/src/django/utils/ModelDiffMixin.py

为了帮助刚接触Python或Django的人,我将给出一个更完整的示例。 这种特殊用法是从数据提供者获取一个文件,并确保数据库中的记录反映该文件。

我的模型对象:

class Station(ModelDiffMixin.ModelDiffMixin, models.Model):
    station_name = models.CharField(max_length=200)
    nearby_city = models.CharField(max_length=200)

    precipitation = models.DecimalField(max_digits=5, decimal_places=2)
    # <list of many other fields>

   def is_float_changed (self,v1, v2):
        ''' Compare two floating values to just two digit precision
        Override Default precision is 5 digits
        '''
        return abs (round (v1 - v2, 2)) > 0.01

加载文件的类有这些方法:

class UpdateWeather (object)
    # other methods omitted

    def update_stations (self, filename):
        # read all existing data 
        all_stations = models.Station.objects.all()
        self._existing_stations = {}

        # insert into a collection for referencing while we check if data exists
        for stn in all_stations.iterator():
            self._existing_stations[stn.id] = stn

        # read the file. result is array of objects in known column order
        data = read_tabbed_file(filename)

        # iterate rows from file and insert or update where needed
        for rownum in range(sh.nrows):
            self._update_row(sh.row(rownum));

        # now anything remaining in the collection is no longer active
        # since it was not found in the newest file
        # for now, delete that record
        # there should never be any of these if the file was created properly
        for stn in self._existing_stations.values():
            stn.delete()
            self._num_deleted = self._num_deleted+1


    def _update_row (self, rowdata):
        stnid = int(rowdata[0].value) 
        name = rowdata[1].value.strip()

        # skip the blank names where data source has ids with no data today
        if len(name) < 1:
            return

        # fetch rest of fields and do sanity test
        nearby_city = rowdata[2].value.strip()
        precip = rowdata[3].value

        if stnid in self._existing_stations:
            stn = self._existing_stations[stnid]
            del self._existing_stations[stnid]
            is_update = True;
        else:
            stn = models.Station()
            is_update = False;

        # object is new or old, don't care here            
        stn.id = stnid
        stn.station_name = name;
        stn.nearby_city = nearby_city
        stn.precipitation = precip

        # many other fields updated from the file 

        if is_update == True:

            # we use a model mixin to simplify detection of changes
            # at the cost of extra memory to store the objects            
            if stn.has_changed == True:
                self._num_updated = self._num_updated + 1;
                stn.save();
        else:
            self._num_created = self._num_created + 1;
            stn.save()

虽然这实际上并没有回答你的问题,但我会以不同的方式来讨论这个问题。

成功保存本地副本后,只需清除remote_image字段。然后在保存方法中,只要remote_image不为空,就可以随时更新图像。

如果您想保留对url的引用,您可以使用一个不可编辑的布尔字段来处理缓存标志,而不是使用remote_image字段本身。

如果您对重写save方法不感兴趣,可以这样做

  model_fields = [f.name for f in YourModel._meta.get_fields()]
  valid_data = {
        key: new_data[key]
        for key in model_fields
        if key in new_data.keys()
  }

  for (key, value) in valid_data.items():
        if getattr(instance, key) != value:
           print ('Data has changed')

        setattr(instance, key, value)

 instance.save()

作为SmileyChris回答的扩展,您可以为last_updated的模型添加一个datetime字段,并在检查更改之前为您将让它达到的最大年龄设置某种限制

从Django 1.8开始,就有了from_db方法,Serge提到过。事实上,Django文档中包含了这样一个特定的用例:

https://docs.djangoproject.com/en/dev/ref/models/instances/#customizing-model-loading

下面是一个示例,展示如何记录从数据库加载的字段的初始值