feat(wip): soft title tier — sketch/doodle vocab + ring-loud audit (#1474)
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Extends WIP title-tagging to lower-precision cues (sketch/doodle/scribble) safely.

- wip_title.py: soft matcher (word-anchored; sketchbook/kadoodle don't trip it);
  WIP_TITLE_SOFT_SOURCE + soft SQL prefilter; apply_wip_image_tags takes a source arg.
- training_data._AUTO_SOURCES += 'wip_title_soft' → the soft tier is PROVISIONAL and
  never trains the wip head (a finished "sketch" can't pollute it). Only the hard
  tier (wip_title) + manual train.
- ImportSettings.wip_soft_title_tagging_enabled (OFF by default, opt-in). Migration 0087.
- importer: hard tier wins, soft is the fallback (source wip_title_soft).
- backfill: refactored into a shared _backfill_wip_tier; hard always, soft when enabled.
- heads.soft_wip_conflict_audit + daily beat: score soft-tagged images against content
  heads, flag ring-loud ones (PresentationReview mode=process) for the review strip —
  the operator's "measure if they got falsely tagged" safety.
- api settings toggle; ImportFiltersForm soft toggle.
- tests: soft matcher pos/neg; soft source not a training positive; audit flags
  ring-loud + spares quiet.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-07-13 10:14:38 -04:00
parent d9a14e890d
commit af0d39ed52
14 changed files with 355 additions and 58 deletions
+28 -1
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@@ -8,7 +8,7 @@ negative cases (substrings like ``swipe`` / ``wiped``) are the load-bearing ones
"""
import pytest
from backend.app.services.wip_title import matches_wip_title
from backend.app.services.wip_title import matches_soft_wip_title, matches_wip_title
@pytest.mark.parametrize("title", [
@@ -44,6 +44,33 @@ def test_matches_positive(title):
"finished at last",
"Kawips diner", # 'wip' mid-word
"swipright",
"quick sketch of Nami", # soft cue — NOT a HARD WIP match
])
def test_matches_negative(title):
assert matches_wip_title(title) is False
@pytest.mark.parametrize("title", [
"quick sketch",
"Nami sketch",
"morning doodle",
"some doodles",
"sketches from today",
"a little scribble",
"SKETCH",
])
def test_soft_matches_positive(title):
assert matches_soft_wip_title(title) is True
@pytest.mark.parametrize("title", [
None,
"",
"sketchbook tour", # 'sketch' inside sketchbook — must NOT match
"kadoodle mascot", # 'doodle' mid-word
"the final piece",
"WIP", # a HARD cue is not a SOFT cue
"prescribed colours", # 'scrib' inside prescribed — must NOT match
])
def test_soft_matches_negative(title):
assert matches_soft_wip_title(title) is False