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FabledCurator/tests/test_regions.py
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feat(gpu): video-ready regions + the HTTP GPU-job queue engine (#114 slice 3)
Answers "how are videos/all media handled by the GPU worker": a job is per ITEM,
but the agent fans a VIDEO into per-frame instances (ffmpeg in the agent, the
existing cadence), each stored with a timestamp — so a video becomes a BAG of
frame embeddings (fixes the mean-embedding muddle) instead of one washed-out
vector. Stills → frame_time NULL; animated GIF/WebP treated like short video.

- image_region.frame_time (migration 0061, not yet deployed so folded in): the
  source frame's seconds for video/animated media; NULL for stills. RegionService
  passes it through. A whole frame is just kind='frame'.
- gpu_job + GpuJobService (migration 0062): the durable work list that keeps the
  desktop agent HTTP-only — enqueue (dedupes (image,task)) / lease (FOR UPDATE
  SKIP LOCKED, re-claims expired leases so the queue self-heals) / heartbeat /
  complete / fail (re-queues until MAX_ATTEMPTS then 'error'). The server enqueues;
  the agent leases+submits over the web API; Redis/Postgres stay private.

Tests: enqueue dedupe, lease-then-skip-when-held, expired-lease reclaim, scoped
heartbeat, complete, fail-requeue-then-error. region test now covers frame_time.

NEXT: the thin HTTP API (lease/submit/heartbeat) + bearer-token auth, then the
agent container + control UI.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
2026-06-29 11:18:28 -04:00

72 lines
2.3 KiB
Python

"""Region storage/service for the crop pipeline (#114)."""
import pytest
from backend.app.models import ImageRecord
from backend.app.services.ml.regions import RegionService
pytestmark = pytest.mark.integration
async def _img(db, sha) -> ImageRecord:
img = ImageRecord(
path=f"/images/{sha}.jpg", sha256=sha, size_bytes=1, mime="image/jpeg",
width=1, height=1, origin="imported_filesystem", integrity_status="unknown",
)
db.add(img)
await db.flush()
return img
@pytest.mark.asyncio
async def test_replace_and_get_regions(db):
img = await _img(db, "a" * 64)
svc = RegionService(db)
n = await svc.replace_regions(img.id, ["figure"], [
{"kind": "figure", "bbox": (0.1, 0.1, 0.3, 0.4),
"score": 0.9, "detector_version": "det-v1", "frame_time": 42.5},
])
await db.commit()
assert n == 1
regs = await svc.get_regions(img.id)
assert len(regs) == 1
r = regs[0]
assert r.kind == "figure"
assert r.rw == pytest.approx(0.3) and r.rh == pytest.approx(0.4)
assert r.score == pytest.approx(0.9)
assert r.frame_time == pytest.approx(42.5) # video frame timestamp
@pytest.mark.asyncio
async def test_replace_is_scoped_by_kind(db):
img = await _img(db, "b" * 64)
svc = RegionService(db)
await svc.replace_regions(img.id, ["figure"], [
{"kind": "figure", "bbox": (0.0, 0.0, 0.5, 0.5)},
])
await svc.replace_regions(img.id, ["concept"], [
{"kind": "concept", "bbox": (0.5, 0.5, 0.2, 0.2)},
])
await db.commit()
# Re-running the figure detector must NOT wipe the concept region.
await svc.replace_regions(img.id, ["figure"], [
{"kind": "figure", "bbox": (0.1, 0.1, 0.4, 0.4)},
])
await db.commit()
kinds = sorted(r.kind for r in await svc.get_regions(img.id))
assert kinds == ["concept", "figure"]
@pytest.mark.asyncio
async def test_ccip_vector_round_trips(db):
img = await _img(db, "c" * 64)
svc = RegionService(db)
await svc.replace_regions(img.id, ["figure"], [
{"kind": "figure", "bbox": (0.0, 0.0, 0.5, 0.5),
"ccip_embedding": [0.1] * 768, "embedding_version": "ccip-test"},
])
await db.commit()
r = (await svc.get_regions(img.id, kinds=["figure"]))[0]
assert r.ccip_embedding is not None
assert len(list(r.ccip_embedding)) == 768
assert r.siglip_embedding is None