"""CCIP few-shot character matcher (#114). numpy cosine on stored vectors — no
model needed, so it runs in CI with synthetic CCIP vectors."""
import pytest

from backend.app.models import ImageRecord, ImageRegion, TagKind
from backend.app.models.tag import image_tag
from backend.app.services.ml.ccip import match_image
from backend.app.services.tag_service import TagService

pytestmark = pytest.mark.integration


def _ccip(slot: int) -> list[float]:
    v = [0.0] * 768
    v[slot] = 1.0
    return v


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


async def _figure(db, image_id, ccip):
    db.add(ImageRegion(
        image_record_id=image_id, kind="figure",
        rx=0.0, ry=0.0, rw=1.0, rh=1.0,
        ccip_embedding=ccip, embedding_version="ccip-test",
    ))


async def _tag_image(db, image_id, tag_id):
    await db.execute(image_tag.insert().values(
        image_record_id=image_id, tag_id=tag_id, source="manual",
    ))


@pytest.mark.asyncio
async def test_matches_same_character_across_images(db):
    raven = await TagService(db).find_or_create("Raven", TagKind.character)
    ref = await _img(db, "a" * 64)               # a tagged example = a prototype
    await _figure(db, ref.id, _ccip(0))
    await _tag_image(db, ref.id, raven.id)
    query = await _img(db, "b" * 64)             # untagged, near-identical figure
    await _figure(db, query.id, _ccip(0))
    await db.commit()

    matches = await match_image(db, query.id)
    m = next(x for x in matches if x["tag_id"] == raven.id)
    assert m["source"] == "ccip" and m["category"] == "character"
    assert m["score"] > 0.9


@pytest.mark.asyncio
async def test_no_match_for_different_character(db):
    raven = await TagService(db).find_or_create("Raven", TagKind.character)
    ref = await _img(db, "c" * 64)
    await _figure(db, ref.id, _ccip(0))
    await _tag_image(db, ref.id, raven.id)
    query = await _img(db, "d" * 64)
    await _figure(db, query.id, _ccip(5))        # orthogonal → not Raven
    await db.commit()
    assert await match_image(db, query.id) == []


@pytest.mark.asyncio
async def test_excludes_already_applied_character(db):
    raven = await TagService(db).find_or_create("Raven", TagKind.character)
    ref = await _img(db, "e" * 64)
    await _figure(db, ref.id, _ccip(0))
    await _tag_image(db, ref.id, raven.id)
    query = await _img(db, "f" * 64)
    await _figure(db, query.id, _ccip(0))
    await _tag_image(db, query.id, raven.id)     # already tagged → no re-suggest
    await db.commit()
    assert all(m["tag_id"] != raven.id for m in await match_image(db, query.id))


@pytest.mark.asyncio
async def test_no_figure_vectors_means_no_match(db):
    query = await _img(db, "g" * 64)
    await db.commit()
    assert await match_image(db, query.id) == []


@pytest.mark.asyncio
async def test_threshold_gates_borderline_match(db):
    # A figure ~0.9 cosine from the reference: matched at 0.85, dropped at 0.95.
    raven = await TagService(db).find_or_create("Raven", TagKind.character)
    ref = await _img(db, "h" * 64)
    await _figure(db, ref.id, _ccip(0))                 # e0
    await _tag_image(db, ref.id, raven.id)
    near = [0.0] * 768
    near[0], near[1] = 0.9, 0.4359                       # |·|=1, cos(e0)=0.9
    query = await _img(db, "i" * 64)
    await _figure(db, query.id, near)
    await db.commit()

    assert any(m["tag_id"] == raven.id for m in await match_image(db, query.id, 0.85))
    assert await match_image(db, query.id, 0.95) == []