a444cf82d1
Every tag suggestion is a canonical DB tag now (tagging-v2 #114: heads + CCIP score EXISTING concept tags). The pre-heads apparatus for model-predicted tags that didn't exist in the DB — creates_new_tag / raw_name / via_alias, the /suggestions/alias endpoint + add_alias_and_accept, AliasPickerDialog, and the store's aliasAccept/removeAlias — was dead and is removed. The type-to-add dropdown was TWO row sources (server autocomplete + the image's ML suggestions) merged with a dedup that dropped the %-bearing suggestion row when the debounced server hit landed — the operator's "confidence % flickers then vanishes". Now it's ONE list of DB-tag matches, each annotated with the model's confidence (join by canonical_tag_id) when the tag was scored for this image. No dedup, no flicker; picking a suggested tag still records acceptance via TagPanel.findPending. Single per-image fetch: score_image now reports above_threshold per row (computed vs the head's own suggest cut, separate from the inclusion floor), so the rail makes ONE min=0 request and derives the panel (above_threshold) and the dropdown (all, text-filtered) client-side — the two /suggestions calls collapse to one. Manual "Create 'X' as <kind>" (novel typed names) is unchanged; the alias table + tag-side alias admin + auto-apply alias matching are untouched. Tests: gate/serializer assertions updated (above_threshold; dropped dead-field + alias-endpoint checks); frontend spec seeds via the single load and covers the byCategory/aboveByCategory split. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CgZP9v2otxVJymiYsnVuMy
65 lines
2.7 KiB
Python
65 lines
2.7 KiB
Python
"""Suggestion actions: accept applies the canonical tag to an image (which
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feeds head training); dismiss / reject record a per-image rejection.
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(The Camie allowlist bulk-apply was retired #1189 — heads + CCIP are the tag
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source, and head auto-apply is the earned propagation. Accept no longer
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allowlists or fans a tag out across the library.)
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"""
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from sqlalchemy import delete
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from sqlalchemy.dialects.postgresql import insert
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from sqlalchemy.ext.asyncio import AsyncSession
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from ...models import TagSuggestionRejection
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from ...models.tag import image_tag
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class AllowlistService:
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def __init__(self, session: AsyncSession):
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self.session = session
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async def _apply_image_tag(self, image_id: int, tag_id: int, source: str):
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stmt = insert(image_tag).values(
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image_record_id=image_id, tag_id=tag_id, source=source
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).on_conflict_do_nothing(
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index_elements=["image_record_id", "tag_id"]
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)
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await self.session.execute(stmt)
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async def _clear_rejection(self, image_id: int, tag_id: int):
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await self.session.execute(
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delete(TagSuggestionRejection)
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.where(TagSuggestionRejection.image_record_id == image_id)
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.where(TagSuggestionRejection.tag_id == tag_id)
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)
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async def accept(self, image_id: int, tag_id: int) -> None:
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"""Apply the accepted tag to this image (source='ml_accepted', a head
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training positive) and clear any prior rejection."""
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await self._apply_image_tag(image_id, tag_id, source="ml_accepted")
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await self._clear_rejection(image_id, tag_id)
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async def dismiss(self, image_id: int, tag_id: int) -> None:
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stmt = insert(TagSuggestionRejection).values(
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image_record_id=image_id, tag_id=tag_id
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).on_conflict_do_nothing(
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index_elements=["image_record_id", "tag_id"]
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)
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await self.session.execute(stmt)
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async def undismiss(self, image_id: int, tag_id: int) -> None:
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"""Undo a per-image dismissal — drop the TagSuggestionRejection so the
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suggestion reverts to a live (un-rejected) state. Backs the rail's
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one-click reject-recovery (operator-asked 2026-06-27)."""
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await self._clear_rejection(image_id, tag_id)
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async def reject_applied_tag(self, image_id: int, tag_id: int) -> None:
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"""Operator removed an applied tag from an image. Remove the image_tag
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row AND record a rejection so head auto-apply won't re-apply it."""
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await self.session.execute(
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image_tag.delete()
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.where(image_tag.c.image_record_id == image_id)
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.where(image_tag.c.tag_id == tag_id)
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)
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await self.dismiss(image_id, tag_id)
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