I have a large database of items that have somewhat fluid statuses. I need to get an array of those items based on what each items's status was on a given date.
Here's an excerpt from an example record:
{"status":[
{"date":{"$date":"2019-06-14T06:17:41.625Z"},"statusCode":200},
{"date":{"$date":"2019-11-04T02:02:58.020Z"},"statusCode":404},
{"date":{"$date":"2020-08-07T01:11:16.184Z"},"statusCode":200},
{"date":{"$date":"2020-08-07T03:54:09.703Z"},"statusCode":404}
]}
Using this example, the status on 2020-01-13 would be 404 (as it would be also on 2020-01-12 or any other givenDate until the status changed back to 200).
So how would I filter my big array to this record (and others like it) to only items with status 404 as of 2020-01-13? (And I would do the same for 200.)
Note that I can't simply filter for objects with date < givenDate && statusCode == 200 because that would ignore if the status changed after those records. (The above example would return for either 200 or 404 since both records exist before givenDate.)
My only idea at the moment is that I could first filter the status array to anything before givenDate, and then compare based on the last record (since this filtered array's last record would then always be before givenDate). But this seems more complicated than necessary.
Processing time isn't important to me on this because I'm trying to make some one-time corrections to past statistics.
Thanks in advance!