我应该在内存（.py）还是视图（HTML）中合并图像？

Question

My facebook app允许用户上传图像，选择图像（眼睛、鼻子、嘴或其他身体部位），然后通过按类别选择三个随机图像进行组合，效果不错，代码看起来不错，可读性也不高：

class CyberFazeHandler(BaseHandler):

    def get_random_image(self, category):
        fileinfos = FileInfo.all().filter("category =", category)
        return fileinfos[random.randint(0, fileinfos.count()-1)] 

    def get(self):
        eyes_image = self.get_random_image(category="eyes")
    nose_image = self.get_random_image(category="nose")
    mouth_image = self.get_random_image(category="mouth")
        eyes_data = None
        try:
        eyes_data = blobstore.fetch_data(eyes_image.blob.key(), 0, 50000)
        except Exception, e:
            self.set_message(type=u'error',
                content=u'Could not find eyes data for file '+str(eyes_image.key().id())+' (' + unicode(e) + u')')

        eyes_img = None

        try:
            eyes_img = images.Image(image_data=eyes_data)

…现在我只需随机获取3张图像，然后在模板中合并：

^{pr2}$

通过发送一个将三个图像合并为一个的合成图像，可以改善这一点吗？其优点是图像上的所有内容都将同时加载，并且如果下次结果已保存时出现随机化，那么它将被保存。你怎么认为？在

谢谢（申请表是apps.facebook.com/cyberfaze你可以看看我是为了好玩和学习）

整个班级

class CyberFazeHandler(BaseHandler):

    def get_random_image(self, category):
        fileinfos = FileInfo.all().filter("category =", category)
        return fileinfos[random.randint(0, fileinfos.count()-1)] #optimize

    def get(self):
        eyes_image = self.get_random_image(category="eyes")
    nose_image = self.get_random_image(category="nose")
    mouth_image = self.get_random_image(category="mouth")
        eyes_data = None
        try:
        eyes_data = blobstore.fetch_data(eyes_image.blob.key(), 0, 50000)
        except Exception, e:
            self.set_message(type=u'error',
                content=u'Could not find eyes data for file '+str(eyes_image.key().id())+' (' + unicode(e) + u')')

        eyes_img = None

        try:
            eyes_img = images.Image(image_data=eyes_data)
        except Exception, e:
            self.set_message(type=u'error',
                content=u'Could not find eyes img for file '+str(eyes_image.key().id())+' (' + unicode(e) + u')')


        nose_data = None
        try:
            nose_data = blobstore.fetch_data(nose_image.blob.key(), 0, 50000)
        except Exception, e:
            self.set_message(type=u'error',
                content=u'Could not find nose data for file '+str(nose_image.key().id())+' (' + unicode(e) + u')')


        nose_img = None

        try:
            nose_img = images.Image(image_data=nose_data)
        except Exception, e:
            self.set_message(type=u'error',
                content=u'Could not find nose img for file '+str(nose_image.key().id())+' (' + unicode(e) + u')')


        mouth_data = None
        try:
        mouth_data = blobstore.fetch_data(mouth_image.blob.key(), 0, 50000)
        except Exception, e:
            self.set_message(type=u'error',
                content=u'Could not find mouth data for file '+str(eyes_image.key().id())+' (' + unicode(e) + u')')


        mouth_img = None

        try:
            mouth_img = images.Image(image_data=mouth_data)
        except Exception, e:
            self.set_message(type=u'error',
                content=u'Could not find mouth img for file '+str(mouth_image.key().id())+' (' + unicode(e) + u')')


    minimum = min(int(eyes_img.width), int(nose_img.width), int(mouth_img.width))

    eyes_url = images.get_serving_url(str(eyes_image.blob.key()), size=minimum)
    nose_url = images.get_serving_url(str(nose_image.blob.key()), size=minimum)
    mouth_url = images.get_serving_url(str(mouth_image.blob.key()), size=minimum)

        self.render(u'cyberfaze', minimum=minimum, eyes_image=eyes_image, eyes_url=eyes_url, nose_image=nose_image, nose_url=nose_url, mouth_image=mouth_image, mouth_url=mouth_url, form_url = blobstore.create_upload_url('/upload'),)

重写后，它的工作原理是：

class CyberFazeHandler(BaseHandler):

    def get_random_image(self, category):

        q = FileInfo.all()
        q.filter('category =', category)
        q.filter('randomvalue >=', random.random())
        return q.get()

    def get_random_image_legacy(self, category):
        fileinfos = FileInfo.all().filter('category =', category)
        return fileinfos[random.randint(0, fileinfos.count() - 1)]

    def get(self):

        eyes_image = self.get_random_image(category='eyes')
    if not eyes_image:
       logging.debug("getting eyes failed, trying legacy method")
           eyes_image = self.get_random_image_legacy(category='eyes')
        nose_image = self.get_random_image(category='nose')
    if not nose_image:
           nose_image = self.get_random_image_legacy(category='nose')

        mouth_image = self.get_random_image(category='mouth')
    if not mouth_image:
           mouth_image = self.get_random_image_legacy(category='mouth')

        eyes_data = None
        try:
            eyes_data = blobstore.fetch_data(eyes_image.blob.key(), 0,
                    50000)
        except Exception, e:
            self.set_message(type=u'error',
                             content=u'Could not find eyes data for file '
                              + str(eyes_image.key().id()) + ' ('
                             + unicode(e) + u')')

        eyes_img = None

        try:
            eyes_img = images.Image(image_data=eyes_data)
        except Exception, e:
            self.set_message(type=u'error',
                             content=u'Could not find eyes img for file '
                              + str(eyes_image.key().id()) + ' ('
                             + unicode(e) + u')')

        nose_data = None
        try:
            nose_data = blobstore.fetch_data(nose_image.blob.key(), 0,
                    50000)
        except Exception, e:
            self.set_message(type=u'error',
                             content=u'Could not find nose data for file '
                              + str(nose_image.key().id()) + ' ('
                             + unicode(e) + u')')

        nose_img = None

        try:
            nose_img = images.Image(image_data=nose_data)
        except Exception, e:
            self.set_message(type=u'error',
                             content=u'Could not find nose img for file '
                              + str(nose_image.key().id()) + ' ('
                             + unicode(e) + u')')

        mouth_data = None
        try:
            mouth_data = blobstore.fetch_data(mouth_image.blob.key(),
                    0, 50000)
        except Exception, e:
            self.set_message(type=u'error',
                             content=u'Could not find mouth data for file '
                              + str(eyes_image.key().id()) + ' ('
                             + unicode(e) + u')')

        mouth_img = None

        try:
            mouth_img = images.Image(image_data=mouth_data)
        except Exception, e:
            self.set_message(type=u'error',
                             content=u'Could not find mouth img for file '
                              + str(mouth_image.key().id()) + ' ('
                             + unicode(e) + u')')

        minimum = min(int(eyes_img.width), int(nose_img.width),
                      int(mouth_img.width))

        eyes_url = images.get_serving_url(str(eyes_image.blob.key()),
                size=minimum)
        nose_url = images.get_serving_url(str(nose_image.blob.key()),
                size=minimum)
        mouth_url = images.get_serving_url(str(mouth_image.blob.key()),
                size=minimum)

        self.render(
            u'cyberfaze',
            minimum=minimum,
            eyes_image=eyes_image,
            eyes_url=eyes_url,
            nose_image=nose_image,
            nose_url=nose_url,
            mouth_image=mouth_image,
            mouth_url=mouth_url,
            form_url=blobstore.create_upload_url('/upload'),
            )

Answer 1

哪个更有效取决于如何使用它。如果用户要加载大量这些mashup，那么将它们作为单独的图像发送会更有意义，因为浏览器可以缓存的图像将更少（a+b+c图像而不是a*b*c）。在

但是，您的代码存在更严重的性能问题：

def get_random_image(self, category):
    fileinfos = FileInfo.all().filter("category =", category)
    return fileinfos[random.randint(0, fileinfos.count()-1)] 

每次调用此函数时，它都将执行一个计数操作，即对FileInfo个实体的数量执行O（n），然后执行偏移量查询，偏移量为O（n）。这是极其缓慢和低效的，并且会随着您增加图像数量而得到更多。在

如果您希望图像集很小（少于几千个）并且相当稳定，只需将它们存储在代码中，这将比任何其他选项都快。如果集合更大，或者在运行时发生更改，请为每个实体分配一个介于0和1之间的随机值，然后使用类似这样的查询来检索随机选择的实体：

^{pr2}$