refactor(I5): remove one-and-done GS/IR migration tooling
The GS/IR migration cutover is complete, so the runbook tooling is dead weight. Removed: - services/migrators/ (gs_ingest, ir_ingest, tag_apply, ml_queue, verify, cleanup), tasks/migration.py, api/migrate.py (+ blueprint registration) - MigrationRun model; alembic 0027 drops the migration_run table - frontend LegacyMigrationCard + migration store (+ MaintenancePanel ref) - celery include + task route + celery_signals queue mapping for migration.* - the 1 GB MAX_CONTENT_LENGTH / MAX_FORM_MEMORY override (added solely for the ir_ingest upload) - migration-surface tests (test_api_migrate, test_migration_verify, test_ir_ingest, test_gs_ingest, test_tag_apply) Kept: the alembic schema-migration tests (test_migration_00XX — unrelated) and cleanup_service.py (the permanent artist-cascade/unlink home). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -12,7 +12,6 @@ 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 .migration_run import MigrationRun
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from .ml_settings import MLSettings
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from .post import Post
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from .post_attachment import PostAttachment
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@@ -46,7 +45,6 @@ __all__ = [
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"ImportSettings",
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"LibraryAuditRun",
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"MLSettings",
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"MigrationRun",
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"TagAlias",
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"TagAllowlist",
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"TagReferenceEmbedding",
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@@ -1,37 +0,0 @@
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"""MigrationRun — tracks each FC-5 migration invocation (backup/gs/ir/etc).
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kind/status are String(32) not Postgres ENUM so adding kinds later
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doesn't need a schema migration. The API layer validates values.
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"""
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from datetime import datetime
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import sqlalchemy as sa
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from sqlalchemy import Boolean, DateTime, Integer, String, Text, func
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from sqlalchemy.dialects.postgresql import JSONB
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from sqlalchemy.orm import Mapped, mapped_column
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from .base import Base
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class MigrationRun(Base):
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__tablename__ = "migration_run"
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id: Mapped[int] = mapped_column(Integer, primary_key=True)
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kind: Mapped[str] = mapped_column(String(32), nullable=False, index=True)
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status: Mapped[str] = mapped_column(String(32), nullable=False, index=True)
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dry_run: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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started_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), nullable=False, server_default=func.now(),
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)
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finished_at: Mapped[datetime | None] = mapped_column(
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DateTime(timezone=True), nullable=True,
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)
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counts: Mapped[dict] = mapped_column(
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JSONB, nullable=False, default=dict, server_default=sa.text("'{}'::jsonb"),
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)
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error: Mapped[str | None] = mapped_column(Text, nullable=True)
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metadata_: Mapped[dict] = mapped_column(
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"metadata", JSONB, nullable=False, default=dict,
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server_default=sa.text("'{}'::jsonb"),
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)
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