Log whenever a user logs in to a client #207
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| """Log which client users login to""" | ||
| # take an arbitrary non-individual organization, since most users will have one org | ||
| organization = user.organizations.filter(individual=False).first() | ||
| plan = None if organization is None else organization.plan |
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Is it worth trying to figure out if a user belongs to any org with a premium plan here?
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Possibly? I didn't devote too much time thinking about it as I assume the vast majority of users are only in one org. Depending on how accurate we need to be, it might be worth doing something smarter
| @@ -217,3 +217,38 @@ def is_hub_eligible(self): | |||
| | Q(groups__hub_eligible=True) | |||
| | Q(parent__hub_eligible=True) | |||
| ).exists() | |||
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| class LoginLog(models.Model): | |||
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Do we need a plan to truncate this table at some point when we have two billion logins?
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I think ideally we would have somewhere we can put this data where we can easily analyze it. Is that just here and we build some visualizations on top? Possibly try putting it in datasette? Or use a third party tool that would let us analyze it? I am also not sure if we want to just truncate after a certain amount of time or if we want to archive old data for historical purposes
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How can team members get data out for analysis? |
Log every time someone uses Squarelet to log in to a client site (MuckRock, DocumentCloud, Big Local, etc)