bvandeusen
af0d39ed52
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>
77 lines
2.4 KiB
Python
77 lines
2.4 KiB
Python
"""Title-based WIP matcher (task #1458) — pure unit tests for
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``matches_wip_title``, the precision-first heuristic that decides whether a post
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title explicitly declares work-in-progress. No DB, no network.
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Precision matters more than recall here: a false positive applies the ``wip``
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system tag, which HIDES a finished post from the Explore browse — so the
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negative cases (substrings like ``swipe`` / ``wiped``) are the load-bearing ones.
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"""
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import pytest
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from backend.app.services.wip_title import matches_soft_wip_title, matches_wip_title
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@pytest.mark.parametrize("title", [
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"WIP",
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"wip",
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"WiP",
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"Nami Heroines - WIP Part 1", # the real-world example from the gate work
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"sketch (WIP)",
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"[WIP] new piece",
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"WIP: colour test",
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"cool art WIP2", # trailing digit = "WIP part 2", still WIP
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"W.I.P.",
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"W.I.P",
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"work in progress",
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"Work In Progress",
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"commission work-in-progress",
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"big_project_work_in_progress",
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"final touches, wip",
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])
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def test_matches_positive(title):
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assert matches_wip_title(title) is True
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@pytest.mark.parametrize("title", [
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None,
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"",
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"a quick swipe left", # 'wip' inside swipe — must NOT match
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"she wiped the counter", # wiped
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"wiping down the desk", # wiping
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"unwiped surface",
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"progressive rock cover", # 'progress' inside progressive, no 'work in'
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"workin on it", # not the full phrase
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"finished at last",
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"Kawips diner", # 'wip' mid-word
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"swipright",
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"quick sketch of Nami", # soft cue — NOT a HARD WIP match
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])
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def test_matches_negative(title):
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assert matches_wip_title(title) is False
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@pytest.mark.parametrize("title", [
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"quick sketch",
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"Nami sketch",
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"morning doodle",
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"some doodles",
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"sketches from today",
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"a little scribble",
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"SKETCH",
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])
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def test_soft_matches_positive(title):
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assert matches_soft_wip_title(title) is True
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@pytest.mark.parametrize("title", [
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None,
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"",
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"sketchbook tour", # 'sketch' inside sketchbook — must NOT match
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"kadoodle mascot", # 'doodle' mid-word
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"the final piece",
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"WIP", # a HARD cue is not a SOFT cue
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"prescribed colours", # 'scrib' inside prescribed — must NOT match
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])
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def test_soft_matches_negative(title):
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assert matches_soft_wip_title(title) is False
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