from __future__ import absolute_import from zephyr.models import UserProfile, get_user_profile_by_id from zephyr.lib.rate_limiter import redis_key, client, max_api_calls, max_api_window from django.core.management.base import BaseCommand from django.conf import settings from optparse import make_option import os, time, logging class Command(BaseCommand): help = """Checks redis to make sure our rate limiting system hasn't grown a bug and left redis with a bunch of data Usage: ./manage.py [--trim] check_redis""" option_list = BaseCommand.option_list + ( make_option('-t', '--trim', dest='trim', default=False, action='store_true', help="Actually trim excess"), ) def _check_within_range(self, key, count_func, trim_func): user_id = int(key.split(':')[1]) try: user = get_user_profile_by_id(user_id) except: user = None max_calls = max_api_calls(user=user) count = count_func() if count > max_calls: logging.error("Redis health check found key with more elements \ than max_api_calls! (trying to trim) %s %s" % (key, count)) client.expire(key, max_api_window(user=user)) if self.trim: trim_func(key, max_calls) def handle(self, *args, **options): if not settings.RATE_LIMITING: print "This machine is not using redis or rate limiting, aborting" exit(1) # Find all keys, and make sure they're all within size constraints wildcard_list = "ratelimit:*:*:list" wildcard_zset = "ratelimit:*:*:zset" self.trim = options['trim'] lists = client.keys(wildcard_list) for list_name in lists: self._check_within_range(list_name, lambda: client.llen(list_name), lambda key, max_calls: client.ltrim(key, 0, max_calls - 1)) zsets = client.keys(wildcard_zset) for zset in zsets: now = time.time() # We can warn on our zset being too large, but we don't know what # elements to trim. We'd have to go through every list item and take # the intersection. The best we can do is expire it self._check_within_range(zset, lambda: client.zcount(zset, 0, now), lambda key, max_calls: None)