import datetime from zerver.decorator import statsd_increment from zerver.lib.queue import queue_json_publish from zerver.lib.timestamp import datetime_to_timestamp from zerver.models import UserActivity, UserActivityInterval, UserProfile def do_update_user_activity_interval( user_profile: UserProfile, log_time: datetime.datetime ) -> None: effective_end = log_time + UserActivityInterval.MIN_INTERVAL_LENGTH # This code isn't perfect, because with various races we might end # up creating two overlapping intervals, but that shouldn't happen # often, and can be corrected for in post-processing try: last = UserActivityInterval.objects.filter(user_profile=user_profile).order_by("-end")[0] # Two intervals overlap iff each interval ends after the other # begins. In this case, we just extend the old interval to # include the new interval. if log_time <= last.end and effective_end >= last.start: last.end = max(last.end, effective_end) last.start = min(last.start, log_time) last.save(update_fields=["start", "end"]) return except IndexError: pass # Otherwise, the intervals don't overlap, so we should make a new one UserActivityInterval.objects.create( user_profile=user_profile, start=log_time, end=effective_end ) @statsd_increment("user_activity") def do_update_user_activity( user_profile_id: int, client_id: int, query: str, count: int, log_time: datetime.datetime ) -> None: (activity, created) = UserActivity.objects.get_or_create( user_profile_id=user_profile_id, client_id=client_id, query=query, defaults={"last_visit": log_time, "count": count}, ) if not created: activity.count += count activity.last_visit = log_time activity.save(update_fields=["last_visit", "count"]) def update_user_activity_interval(user_profile: UserProfile, log_time: datetime.datetime) -> None: event = {"user_profile_id": user_profile.id, "time": datetime_to_timestamp(log_time)} queue_json_publish("user_activity_interval", event)