chore: retire ml-backfill-daily beat + the spent purge-legacy action (operator-approved)

- ml-backfill-daily: the CPU tag_and_embed backfill raced the GPU agent's
  daily embed backfill for the same NULL-embedding images at ~100x the cost
  (B1 audit verdict, milestone #124). The backfill TASK stays — the manual
  /api/ml/backfill button remains the deliberate CPU fallback pending B3.
- purge-legacy: one-time IR-migration cleanup, dry-run verified 0 targets on
  the live library before removal (A2 audit, milestone #123). Fully retired
  per rule 22: tile, store action, route, service fn, tests.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
This commit is contained in:
2026-07-02 11:24:08 -04:00
parent 95d2ae1d58
commit 1f27189b8f
6 changed files with 1 additions and 203 deletions
+1 -15
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@@ -1,13 +1,12 @@
"""FC-3k: /api/admin — destructive admin actions.
Five action surfaces:
Action surfaces:
POST /api/admin/artists/<slug>/cascade-delete (Tier C)
POST /api/admin/images/bulk-delete (Tier C)
DELETE /api/admin/tags/<int:tag_id> (Tier B)
POST /api/admin/tags/<int:dest_id>/merge (Tier B)
POST /api/admin/tags/prune-unused (Tier A)
POST /api/admin/posts/prune-bare (Tier A)
POST /api/admin/tags/purge-legacy (Tier A)
GET /api/admin/tags/<int:tag_id>/usage-count (helper)
Tier-C ops take a dry_run body flag (returns projection inline,
@@ -277,19 +276,6 @@ async def posts_reconcile_duplicates():
return await _run_dry_run_op(reconcile_duplicate_posts, source_id=source_id)
@admin_bp.route("/tags/purge-legacy", methods=["POST"])
async def tags_purge_legacy():
"""Tier-A: delete legacy IR-migration tags — archive/post/artist
kinds (e.g. `BlenderKnight:Hannah_BJ_Loops`) PLUS general tags with
a legacy name prefix (`source:*`, from IR's source kind that fell
back to general). dry-run preview returns per-kind + per-prefix
counts + a sample so the UI shows exactly what'll go before the
operator confirms with dry_run=false."""
from ..services.cleanup_service import purge_legacy_tags
return await _run_dry_run_op(purge_legacy_tags)
@admin_bp.route("/tags/reset-content", methods=["POST"])
async def tags_reset_content():
"""Tier-A: delete ALL general + character tags (the Camie-suggestable
-4
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@@ -97,10 +97,6 @@ def make_celery() -> Celery:
"task": "backend.app.tasks.maintenance.cleanup_old_tasks",
"schedule": 86400.0, # daily
},
"ml-backfill-daily": {
"task": "backend.app.tasks.ml.backfill",
"schedule": 86400.0,
},
"train-heads-nightly": {
"task": "backend.app.tasks.ml.scheduled_train_heads",
"schedule": 86400.0, # passive cadence; manual retrain stays available
-65
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@@ -718,71 +718,6 @@ def reconcile_duplicate_posts(
return {"groups": len(groups), "merged": losers_total, "sample": sample}
# Legacy tags FC no longer uses, in two shapes:
# (1) kinds the tag input never produces — archive/post/artist.
# provenance (post grouping) + archive membership are their own
# systems now, and artists are first-class Artist/Source rows.
# meta/rating were already hard-deleted by alembic 0023.
# (2) name prefixes from IR kinds FC never adopted — `source:*`.
# ImageRepo had a `source` kind; FC's enum doesn't, so ir_ingest
# fell those back to `general` (kind=general, name="source:patreon"
# etc.). They can't be caught by kind, so we match the name prefix.
PURGEABLE_TAG_KINDS = ("archive", "post", "artist")
LEGACY_NAME_PREFIXES = ("source:",)
def _legacy_tag_predicate():
name_clauses = [Tag.name.like(f"{p}%") for p in LEGACY_NAME_PREFIXES]
return or_(Tag.kind.in_(PURGEABLE_TAG_KINDS), *name_clauses)
def purge_legacy_tags(session: Session, *, dry_run: bool = False) -> dict:
"""Count (dry_run) or delete legacy IR-migration tags: archive/post/
artist-kind tags PLUS general tags whose name matches a legacy
prefix (source:*).
CASCADE on image_tag / tag_alias / tag_suggestion_rejection / series_page
clears the related rows on the parent DELETE.
Returns:
{"by_kind": {kind: count, ...}, # kind-matched rows
"by_prefix": {"source:*": count}, # name-prefix-matched rows
"count": total, "sample_names": [first 50],
and on live runs "deleted": total}
"""
predicate = _legacy_tag_predicate()
rows = session.execute(
select(Tag.id, Tag.name, Tag.kind).where(predicate)
).all()
by_kind: dict[str, int] = {}
by_prefix: dict[str, int] = {}
for _id, name, kind in rows:
# Classify by name-prefix first so a source:* row counts once,
# under the prefix bucket, regardless of its (general) kind.
matched_prefix = next(
(p for p in LEGACY_NAME_PREFIXES if name.startswith(p)), None,
)
if matched_prefix is not None:
label = f"{matched_prefix}*"
by_prefix[label] = by_prefix.get(label, 0) + 1
else:
key = kind.value if hasattr(kind, "value") else str(kind)
by_kind[key] = by_kind.get(key, 0) + 1
sample = [name for _id, name, _kind in rows[:50]]
total = len(rows)
result = {
"by_kind": by_kind, "by_prefix": by_prefix,
"count": total, "sample_names": sample,
}
if dry_run:
return result
if total:
session.execute(Tag.__table__.delete().where(predicate))
session.commit()
result["deleted"] = total
return result
# The CONTENT vocabulary. "Reset content tagging" wipes these so the operator
# can re-tag from scratch. fandom + series (and series_page ordering) are
# deliberately NOT here — they're kept.