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add minute_offset and update to fsrs 0.6.2 #25

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merged 1 commit into from
Apr 28, 2024
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AlexErrant
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Closes #22


Answering some questions from here:

The minute_offset is not very readable.

Agreed.

Could you provide an example or document?

Please let me know if this PR's example/documentation is insufficient.

If the previous next_day_starts_at is 4 and the timezone is UTC+8:00, what's the minute_offset for current method?

I kinda show this in train.ts. But to be explicit:

minute_offset = utc_offset - next_day_starts_at
minute_offset = 8hr - 4hr
minute_offset = 240 minutes

Comment on lines -138 to +156
let parameters = fsrs.computeParametersAnki(cids, eases, ids, types, progress)
// MDN states:
// The number of minutes returned by getTimezoneOffset() is positive if the
// local time zone is behind UTC, and negative if the local time zone is ahead of UTC.
// This is useful when going from our timezone to UTC; our local time + offset = UTC.
// However, we want to go from UTC to our timezone. (Anki revlog id is UTC, and we want to convert it to local time.)
// So we flip the sign of `getTimezoneOffset()`.
let timeZoneMinutesOffset = new Date().getTimezoneOffset() * -1
let ankiNextDayStartsAtMinutes = 4 * 60
let parameters = fsrs.computeParametersAnki(
// We subtract ankiNextDayStartsAtMinutes because
// we want a review done at, say, 1am to be done for the *prior* day.
// Adding would move it into the future.
timeZoneMinutesOffset - ankiNextDayStartsAtMinutes,
cids,
eases,
ids,
types,
progress,
)
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Please let me know if the logic in these comments is confusing or wrong!

@L-M-Sherlock
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L-M-Sherlock commented Apr 28, 2024

@sobjornstad is using our package in their product (@remnoteio), so I'd like to ask for his advice.

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LGTM

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LGTM

// We subtract ankiNextDayStartsAtMinutes because
// we want a review done at, say, 1am to be done for the *prior* day.
// Adding would move it into the future.
timeZoneMinutesOffset - ankiNextDayStartsAtMinutes,
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It looks fine. If my timezone is UTC with a utc_offset = 0 and next_day_starts_at = 4, then the minute_offset = 240 minutes. find the relevant code and context at this link https://github.com/open-spaced-repetition/fsrs-rs/blame/14a62849af95a0df0f97cc1251390d03a1dda19c/src/convertor_tests.rs#L78-L82

So, if I review at 2024-04-28 05:00, the converted time would be 2024-04-28 01:00. And if I review at 2024-04-28 03:00, the converted time would be 2024-04-27 23:00. Is that correct?

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Yeah, it's intended. Ideally, we hope the user doesn't do their reviews around the NextDayStarts, when they should be sleeping.

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If my timezone is UTC with a utc_offset = 0 and next_day_starts_at = 4, then the minute_offset = 240 minutes.

To be exceedingly pedantic, minute_offset = -240 minutes; i.e. it's negative. This can be seen in the original code where next_day_starts_at is subtracted. In this PR's code it's changed to addition, so the subtraction must be done client-side (in Javascript) as explained in the comments.

The rest is correct.

@L-M-Sherlock L-M-Sherlock merged commit b1958a6 into main Apr 28, 2024
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@L-M-Sherlock L-M-Sherlock deleted the add_minute_offset branch April 28, 2024 13:08
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Do you have a plan for the next release?

@AlexErrant
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Yup gimme a sec!

@AlexErrant
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I'm not sure if sobjornstad/Remnote uses the Anki revlog format. This PR is only relevant to those using that style; using raw fsrs-items means you get to control the timestamps/card-grouping however you wish.

(Editorial time: Honestly, using raw fsrs-items is probably the best way to do things. There are some drawbacks to using Anki's format. For example, if you went to Europe for summer vacation, then went home in autumn, each timezone shift would change your training data's date_naive(). This is annoying, but probably doesn't significantly effect training. It just bothers some people that their heatmaps are now missing spots haha.)

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Yeah. Timezone shift is hard to deal with if we use the revlog format. I don't know how Anki deal with that. @dae, sorry for bothering you. Has Anki solved this issue? If so, how?

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dae commented May 1, 2024

Anki revlogs do not record timezone info, so Anki is not aware of historical timezone changes.

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Fine. Thanks for that information.

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Sorry for the delay, I didn't check my Discord messages for a while :)

What is the “Anki revlog format” in the context of FSRS? Some choice in the API used? We use FSRS.repeat() to replay RemNote's history format onto an FSRS card object, and we pass in the UTC time that the review was conducted. No time zone is recorded in our review logs either.

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Ah, "Anki revlog format" in the context of fsrs-browser means data that's more or less shaped like the revlog table in Anki. To be specific, the computeParametersAnki and memoryStateAnki methods in lib.rs (which are exposed/exported to Javascript) require cids, eases, ids, and types.

I think FSRS.repeat() is a py-fsrs thing? Since fsrs-browser is based on fsrs-rs which doesn't have a repeat, perhaps this discussion is entirely irrelevant to your interests haha.

@sobjornstad
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We use ts-fsrs, not py-fsrs. The only factors involved in using repeat are the date of the review and the rating provided.

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@sobjornstad, this PR is related to the optimization, so you need to check that part of RemNote rather than scheduler.

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sobjornstad commented May 17, 2024

Ah gotcha, I have actually not been involved in the optimizer at all yet. I'll review that and check with Martin tomorrow

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[BUG] The hard-coded timezone in anki_to_fsrs
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