mirror of
https://github.com/hanzoai/insights.git
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zeekay
1b367e2b62
The tree was a debranded snapshot of upstream taken around 2026-02-20, and upstream has moved about five months since. This replaces it with upstream master, mechanically re-derived: bin/debrand does the rename, and the pipeline and squashed migrations are restored from the shipped tree. Not a merge. The previous import replaced the tree wholesale in a single commit, so there is no shared content history to merge against. Reproducing the rename on the new tree is what actually converges. What survives: .hanzo/workflows, the Dockerfiles and bin/docker* entrypoints, compose files, LLM.md, and insights/migrations. The squashed initial migration is load-bearing — the live database records it by name, so upstream's ~918 individual migrations cannot come back. Nine products are dropped as unreferenced. Twenty-one more that we do not run are kept anyway because the core app still imports them; unpicking those is a refactor and does not belong in a rebase. This base does not build yet, and the reasons are not in the rename: upstream now wants Python 3.13.13 against our 3.12.12 and Django 5.2 against our 4.2, and the dependency manifests still name upstream packages that we republish under our own names. Those are decisions, not renames.
71 lines
2.4 KiB
Python
71 lines
2.4 KiB
Python
from datetime import UTC, datetime, timedelta
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from zoneinfo import ZoneInfo, ZoneInfoNotFoundError
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from croniter import croniter # type: ignore[import-untyped,unused-ignore]
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from dateutil.relativedelta import relativedelta
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from products.reminders.backend.constants import MAX_FIRES_PER_DAY
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UTC_ZONE = ZoneInfo("UTC")
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def resolve_timezone(tz_name: str | None) -> ZoneInfo:
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if not tz_name:
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return UTC_ZONE
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try:
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return ZoneInfo(tz_name)
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except ZoneInfoNotFoundError:
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return UTC_ZONE
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def _next_interval(current: datetime, interval: str) -> datetime:
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if interval == "daily":
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return current + relativedelta(days=1)
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if interval == "weekly":
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return current + relativedelta(weeks=1)
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if interval == "monthly":
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return current + relativedelta(months=1)
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if interval == "yearly":
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return current + relativedelta(years=1)
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raise ValueError(f"Unknown recurrence interval: {interval}")
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def _next_cron(cron_expression: str, current: datetime, tz: ZoneInfo) -> datetime:
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reference = current.astimezone(tz)
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return croniter(cron_expression, reference).get_next(datetime).astimezone(UTC)
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def compute_next_fire_at(
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current: datetime,
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*,
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interval: str | None,
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cron_expression: str | None,
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tz: ZoneInfo,
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) -> datetime:
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if cron_expression:
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return _next_cron(cron_expression, current, tz)
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if interval:
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return _next_interval(current, interval)
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raise ValueError("Recurring reminder requires interval or cron_expression")
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def exceeds_daily_frequency_cap(cron_expression: str) -> bool:
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# Count fires across a representative 24h window for every weekday, so a cron pinned
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# to a single day (e.g. "* * * * 2") can't slip past the cap by avoiding the samples.
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week_start = datetime(2026, 6, 15, 0, 0, tzinfo=UTC) # Monday
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for offset in range(7):
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start = week_start + timedelta(days=offset)
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window_end = start + timedelta(days=1)
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# Seed just before the window so a fire landing exactly on `start` is counted
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# (croniter.get_next returns the first fire strictly after the seed).
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itr = croniter(cron_expression, start - timedelta(microseconds=1))
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fires = 0
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while True:
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nxt = itr.get_next(datetime)
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if nxt >= window_end:
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break
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fires += 1
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if fires > MAX_FIRES_PER_DAY:
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return True
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return False
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