每个用户请求的Django Rest Framework指标

首先：您可能会发现drf-tracking是一个有用的项目，但是它将对每个请求的响应存储在数据库中，我们发现这有点疯狂。

相反，我们为此开发的解决方案是一个mixin，它大量借鉴了 drf-tracking，但仅记录统计信息。此解决方案使用我们的缓存服务器（Redis），因此速度非常快。

如果您已经在使用Redis，则非常简单：

class LoggingMixin(object):
    """Log requests to Redis

    This draws inspiration from the code that can be found at: https://github.com/aschn/drf-tracking/blob/master/rest_framework_tracking/mixins.py

    The big distinctions, however, are that this code uses Redis for greater
    speed, and that it logs significantly less information.

    We want to know:
     - How many queries in last X days, total?
     - How many queries ever, total?
     - How many queries total made by user X?
     - How many queries per day made by user X?
    """

    def initial(self, request, *args, **kwargs):
        super(LoggingMixin, self).initial(request, *args, **kwargs)

        d = date.today().isoformat()
        user = request.user
        endpoint = request.resolver_match.url_name

        r = redis.StrictRedis(
            host=settings.REDIS_HOST,
            port=settings.REDIS_PORT,
            db=settings.REDIS_DATABASES['STATS'],
        )
        pipe = r.pipeline()

        # Global and daily tallies for all URLs.
        pipe.incr('api:v3.count')
        pipe.incr('api:v3.d:%s.count' % d)

        # Use a sorted set to store the user stats, with the score representing
        # the number of queries the user made total or on a given day.
        pipe.zincrby('api:v3.user.counts', user.pk)
        pipe.zincrby('api:v3.user.d:%s.counts' % d, user.pk)

        # Use a sorted set to store all the endpoints with score representing
        # the number of queries the endpoint received total or on a given day.
        pipe.zincrby('api:v3.endpoint.counts', endpoint)
        pipe.zincrby('api:v3.endpoint.d:%s.counts' % d, endpoint)

        pipe.execute()

将其放在项目中的某个位置，然后将mixin添加到各种视图中，如下所示：

class ThingViewSet(LoggingMixin, viewsets.ModelViewSet):
    # More stuff here.

关于课程的一些注意事项：

它使用Redis管道使所有Redis查询以一个请求而不是六个请求命中服务器。

它使用排序集来跟踪您的API中使用最多的端点，以及哪些用户使用API​​最多。

它每天在您的缓存中创建一些新密钥-可能有更好的方法来执行此操作，但我找不到任何密钥。

这应该是记录API的相当灵活的起点。