由于 pickle 错误,在 Django 缓存 API 中设置对象失败

发布于 2024-08-08 07:02:25 字数 816 浏览 8 评论 0原文

我试图在 Django 缓存 API 中手动设置一个对象,但失败了(我认为是由于酸洗?) 该对象是由第三方给我的,我的代码是:

def index(request, template_name="mytemplate.htm"):
    user_list = cache.get("user_list_ds")
    if user_list is None:
            # this is the expensive bit I'm trying to cache
            # given to me by a third part
        user_list = graffiti.user_list("top", 100).responseObj().blocks()
        cache.set("user_list_ds", user_list, 10*60) # 10 minutes

    return render_to_response(template_name, { 'user_list' : user_list,}, context_instance = RequestContext(request))

当我运行这个时,我收到错误;

Can't pickle <type 'etree._Element'>: import of module etree failed
in -    cache.set("user_list_ds", user_list, 10*60) # 10 minutes 

我对 python 很陌生,我想知道如何最好地解决这个问题,我需要先腌制一些东西吗?

I'm trying to manually set an object in the Django cache API but it fails (i think due to pickling?)
The object is given to me by a third party, my code is:

def index(request, template_name="mytemplate.htm"):
    user_list = cache.get("user_list_ds")
    if user_list is None:
            # this is the expensive bit I'm trying to cache
            # given to me by a third part
        user_list = graffiti.user_list("top", 100).responseObj().blocks()
        cache.set("user_list_ds", user_list, 10*60) # 10 minutes

    return render_to_response(template_name, { 'user_list' : user_list,}, context_instance = RequestContext(request))

When I run this I get an error;

Can't pickle <type 'etree._Element'>: import of module etree failed
in -    cache.set("user_list_ds", user_list, 10*60) # 10 minutes 

I'm very new to python, and I'm wondering how best to resolve this, do i need to pickle something first?

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木槿暧夏七纪年 2024-08-15 07:02:25

看来您需要安装 ElementTree,因为pickle 操作尝试导入 etree 模块,但失败。

更新:进一步观察,您实际上是在尝试缓存文档节点吗?如果您尝试缓存来自节点的数据,您可能需要对当前存储在 user_list 中的值进行一些处理。

It appears that you need to install ElementTree, because the pickle operation tries and fails to import the etree module.

UPDATE: Looking at it further, are you actually trying to cache document nodes? If you're trying to cache the data from the node, you probably need to do some processing of the value you're currently storing in user_list.

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