Files
FabledCurator/tests/test_ml_centroids.py
T
bvandeusen dfa67d6437 feat(fc2b): add CentroidService — per-tag SigLIP centroids + similarity
recompute_for_tag (mean of member embeddings, eligible-kind + min-refs
gated, upsert), list_drifted (the delta-gate: member-count mismatch OR
missing OR wrong model version), find_similar_tags (pgvector cosine
distance, similarity = 1 - distance). Tests marked integration.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-15 07:37:53 -04:00

113 lines
3.3 KiB
Python

import numpy as np
import pytest
from backend.app.models import ImageRecord, TagKind
from backend.app.models.tag import image_tag
from backend.app.services.ml.centroids import CentroidService
from backend.app.services.tag_service import TagService
pytestmark = pytest.mark.integration
def _img(sha: str, embedding: list[float] | None) -> ImageRecord:
return ImageRecord(
path=f"/images/{sha}.jpg",
sha256=sha,
size_bytes=1,
mime="image/jpeg",
width=1,
height=1,
origin="imported_filesystem",
integrity_status="unknown",
siglip_embedding=embedding,
)
async def _attach(db, image_id: int, tag_id: int):
await db.execute(
image_tag.insert().values(
image_record_id=image_id, tag_id=tag_id, source="manual"
)
)
@pytest.mark.asyncio
async def test_recompute_skips_too_few_members(db):
tags = TagService(db)
tag = await tags.find_or_create("Lonely", TagKind.character)
img = _img("a" * 64, [0.1] * 1152)
db.add(img)
await db.flush()
await _attach(db, img.id, tag.id)
svc = CentroidService(db)
assert await svc.recompute_for_tag(tag.id) is False
@pytest.mark.asyncio
async def test_recompute_writes_centroid(db):
tags = TagService(db)
tag = await tags.find_or_create("Popular", TagKind.character)
for i in range(5):
img = _img(f"{i:064d}", [float(i)] * 1152)
db.add(img)
await db.flush()
await _attach(db, img.id, tag.id)
svc = CentroidService(db)
assert await svc.recompute_for_tag(tag.id) is True
from backend.app.models import TagReferenceEmbedding
cen = await db.get(TagReferenceEmbedding, tag.id)
assert cen is not None
assert cen.reference_count == 5
assert abs(np.array(cen.embedding)[0] - 2.0) < 1e-4
@pytest.mark.asyncio
async def test_recompute_skips_ineligible_kind(db):
tags = TagService(db)
tag = await tags.find_or_create("somearchive", TagKind.archive)
for i in range(5):
img = _img(f"arch{i:060d}", [1.0] * 1152)
db.add(img)
await db.flush()
await _attach(db, img.id, tag.id)
svc = CentroidService(db)
assert await svc.recompute_for_tag(tag.id) is False
@pytest.mark.asyncio
async def test_list_drifted_includes_uncomputed(db):
tags = TagService(db)
tag = await tags.find_or_create("Drifty", TagKind.character)
for i in range(5):
img = _img(f"d{i:063d}", [0.5] * 1152)
db.add(img)
await db.flush()
await _attach(db, img.id, tag.id)
svc = CentroidService(db)
drifted = await svc.list_drifted()
assert tag.id in drifted
@pytest.mark.asyncio
async def test_find_similar_tags(db):
tags = TagService(db)
tag = await tags.find_or_create("SimTag", TagKind.character)
for i in range(5):
img = _img(f"s{i:063d}", [1.0] * 1152)
db.add(img)
await db.flush()
await _attach(db, img.id, tag.id)
svc = CentroidService(db)
await svc.recompute_for_tag(tag.id)
query_img = _img("q" * 64, [1.0] * 1152)
db.add(query_img)
await db.flush()
hits = await svc.find_similar_tags(query_img.id, limit=10)
assert any(h.tag_id == tag.id for h in hits)
sim = next(h.similarity for h in hits if h.tag_id == tag.id)
assert sim > 0.99