Files
zeekay 1b367e2b62 chore: rebase the tree onto upstream master
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.
2026-08-01 15:44:40 -07:00

53 lines
1.9 KiB
Python

from __future__ import annotations
import os
from datetime import datetime
from uuid import UUID
from django.db.models import Q
from products.alerts.backend.scheduling import (
advance_next_check_at,
compute_shard_offset_seconds as shared_compute_shard_offset_seconds,
)
__all__ = [
"MAX_BYTES_TO_READ",
"SCHEDULE_INTERVAL_SECONDS",
"advance_next_check_at",
"compute_shard_offset_seconds",
"due_alerts_q",
]
# How often the Temporal schedule fires. Drives shard granularity in
# `compute_shard_offset_seconds`: schedule fires every N seconds, so a
# cadence of M seconds has `M // N` shard slots available.
SCHEDULE_INTERVAL_SECONDS = 60
# Per-query CH read cap (bytes). Cohort chunking (`MAX_ALERT_COHORT_SIZE`) keeps reads
# bounded at the source; this is the safety net if a chunk surprises us. Tunable via env
# so we can bump for customers whose filters genuinely need more headroom without
# redeploying. Aligns to CH's GiB-based reporting (1024^3) so the value here matches
# the "max bytes: N GiB" in CH error messages. Default 5 GiB (5,368,709,120).
# Lives here, not in `temporal/constants.py`, because `alert_check_query.py` (the
# consumer) is outside the temporal package. Importing it from temporal would create
# a circular import via `temporal/__init__.py` to activities to alert_check_query.
MAX_BYTES_TO_READ = int(os.environ.get("LOGS_ALERTING_MAX_BYTES_TO_READ", "5368709120"))
def compute_shard_offset_seconds(alert_id: UUID, check_interval_minutes: int) -> int:
return shared_compute_shard_offset_seconds(
alert_id,
check_interval_minutes,
schedule_interval_seconds=SCHEDULE_INTERVAL_SECONDS,
)
def due_alerts_q(now: datetime, *, broken_state: str, snoozed_state: str) -> Q:
return (
Q(enabled=True)
& (Q(next_check_at__lte=now) | Q(next_check_at__isnull=True))
& ~Q(state=broken_state)
& ~Q(state=snoozed_state, snooze_until__gt=now)
)