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Milestone 422 step 1. The data model the rest of the milestone reads. No
behaviour change: nothing consumes these rows yet, and every lane still boots
at its CELERY_CONCURRENCY env value.
Three numbers, not two, per the operator's distinction — the derived value is
a cap ON the cap:
slots <= slots_cap <= derived_ceiling
(live) (operator) (computed)
They can always lower their own cap; they cannot raise it past what the
container can hold. The ceiling is never stored, so a row written on a 32GB
host and later run in a 4GB container is bounded by the 4GB.
`services/worker_lanes.py` is the one place that knows the lane set.
`models/worker_lane.py` holds only what an operator may change.
Two deviations from the step as written, both deliberate:
QUEUES ARE NOT A COLUMN. The step body said the row carries its `-Q` list,
but a lane's queues are decided by celery_app's task_routes, not by
preference — an operator cannot move a backup off maintenance_long. Storing
them would create a row that can contradict the routing table, with nothing
to notice until a queue had no consumer. So queues are code, slots are data.
`test_every_routed_queue_has_a_lane_that_serves_it` reads the real routing
table and fails if a route is ever added without a lane.
ROLE_NAMES IS NOW DERIVED, not left alone. It was a hand-kept second copy of
"queue set -> display name" and had already drifted: maintenance_long is a
live lane with four task routes and a dedicated worker in the operator's
stack, and the roster did not know its name — so the System tab labelled it
`Worker (maintenance_long)`. Adding a lane table beside it would have made
three copies.
The ceiling honours cgroup limits rather than the host's. `os.cpu_count()`
reports the HOST's cores from inside a container, so a 4-core quota on a
32-core host would otherwise offer 32 slots — and the operator's own stack
sets `cpus: '4.0'` on ml-worker, so that is real configuration, not a
hypothetical. Memory reads cgroup v2 then v1, and recognises v1's
PAGE_SIZE-aligned LONG_MAX sentinel by magnitude rather than treating it as
petabytes.
Every uncertain case fails LOW. An unreadable limit yields UNKNOWN_CEILING,
never unlimited — not knowing how much memory there is must not read as
plenty. A box too small to hold one model beside the web process gets an ML
ceiling of 0 rather than a floor of 1: offering a slot that OOMs the
container the first time it is used is exactly what this exists to prevent.
ML_BYTES_PER_SLOT is 4 GiB and is UNMEASURED — flagged as such in the code,
with the method for replacing it with a real figure. It decides whether a
stranger's server survives enabling tagging, so it errs toward refusing a
slot that would have fitted.
Seeded one-of-each with ml at 0 and disabled (alembic 0103). ML off is step
6's requirement arriving early: enabling the lane is what triggers the SigLIP
download, and rule 164 permits a runtime fetch only for a feature that is
optional and clearly off. The seed values are literals rather than an import
of LANES — a migration is a statement about one moment, and importing the
live defaults would silently change what this revision does on a fresh
database in 2027.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LVjrnpQjRgHdvq95rASoiR
100 lines
3.0 KiB
Python
100 lines
3.0 KiB
Python
"""All ORM models. Import this module to make every model visible to Alembic."""
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from .app_setting import AppSetting
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from .artist import Artist
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from .artist_membership_suggestion import ArtistMembershipSuggestion
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from .artist_visit import ArtistVisit
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from .backup_run import BackupRun
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from .base import Base
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from .character_prototype import CcipPrototypeState, CharacterPrototype
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from .credential import Credential
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from .download_event import DownloadEvent
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from .external_link import ExternalLink
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from .gpu_job import GpuJob
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from .head_auto_apply_run import HeadAutoApplyRun
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from .head_metric import HeadMetric
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from .head_metrics_snapshot import HeadMetricsSnapshot
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from .head_training_run import HeadTrainingRun
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from .image_provenance import ImageProvenance
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from .image_record import ImageRecord
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from .image_region import ImageRegion
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from .import_batch import ImportBatch
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from .import_settings import ImportSettings
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from .import_task import ImportTask
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from .library_audit_run import LibraryAuditRun
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from .membership_sync import MembershipSync
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from .ml_settings import MLSettings
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from .patreon_failed_media import PatreonFailedMedia
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from .patreon_seen_media import PatreonSeenMedia
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from .platform_membership import PlatformMembership
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from .post import Post
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from .post_association import PostAssociation
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from .post_attachment import PostAttachment, attachment_download_url
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from .presentation_review import PresentationReview
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from .series_chapter import SeriesChapter
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from .series_page import SeriesPage
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from .series_suggestion import SeriesSuggestion
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from .service_seen import ServiceSeen
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from .source import Source
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from .subscribestar_failed_media import SubscribeStarFailedMedia
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from .subscribestar_seen_media import SubscribeStarSeenMedia
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from .tag import Tag, TagKind, image_tag
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from .tag_alias import TagAlias
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from .tag_head import TagHead
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from .tag_positive_confirmation import TagPositiveConfirmation
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from .tag_suggestion_rejection import TagSuggestionRejection
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from .task_run import TaskRun
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from .worker_lane import WorkerLane
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__all__ = [
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"Base",
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"AppSetting",
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"Artist",
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"ArtistMembershipSuggestion",
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"ArtistVisit",
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"BackupRun",
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"Source",
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"Credential",
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"PatreonFailedMedia",
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"PatreonSeenMedia",
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"SubscribeStarFailedMedia",
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"SubscribeStarSeenMedia",
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"Post",
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"PostAssociation",
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"PostAttachment",
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"attachment_download_url",
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"PresentationReview",
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"SeriesChapter",
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"SeriesPage",
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"SeriesSuggestion",
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"PlatformMembership",
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"ServiceSeen",
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"ImageRecord",
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"ImageProvenance",
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"ImageRegion",
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"Tag",
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"TagKind",
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"image_tag",
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"DownloadEvent",
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"ExternalLink",
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"GpuJob",
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"ImportBatch",
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"ImportTask",
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"ImportSettings",
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"LibraryAuditRun",
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"MembershipSync",
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"MLSettings",
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"HeadAutoApplyRun",
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"HeadMetric",
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"HeadMetricsSnapshot",
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"HeadTrainingRun",
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"TagAlias",
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"TagHead",
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"CharacterPrototype",
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"CcipPrototypeState",
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"TagPositiveConfirmation",
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"TagSuggestionRejection",
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"TaskRun",
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"WorkerLane",
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]
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