import pytest

from backend.app.celery_app import celery
from backend.app.models import ImageRecord, TagKind
from backend.app.services.tag_service import TagService

pytestmark = pytest.mark.integration


@pytest.fixture(autouse=True)
def eager():
    celery.conf.task_always_eager = True
    yield
    celery.conf.task_always_eager = False


async def _img(db, preds):
    from tests._prediction_helpers import seed_predictions

    img = ImageRecord(
        path="/images/s.jpg", sha256="s" * 64, size_bytes=1,
        mime="image/jpeg", width=1, height=1,
        origin="imported_filesystem", integrity_status="unknown",
    )
    db.add(img)
    await db.commit()
    await seed_predictions(db, img.id, preds)
    await db.commit()
    return img


@pytest.mark.asyncio
async def test_get_suggestions(client, db):
    img = await _img(
        db, {"sword": {"category": "general", "confidence": 0.97}}
    )
    resp = await client.get(f"/api/images/{img.id}/suggestions")
    assert resp.status_code == 200
    body = await resp.get_json()
    assert "general" in body["by_category"]


@pytest.mark.asyncio
async def test_accept_requires_tag_id(client, db):
    img = await _img(db, {})
    resp = await client.post(
        f"/api/images/{img.id}/suggestions/accept", json={}
    )
    assert resp.status_code == 400


@pytest.mark.asyncio
async def test_accept_then_applied(client, db):
    img = await _img(db, {})
    tag = await TagService(db).find_or_create("AcceptMe", TagKind.character)
    await db.commit()
    resp = await client.post(
        f"/api/images/{img.id}/suggestions/accept", json={"tag_id": tag.id}
    )
    assert resp.status_code == 204


@pytest.mark.asyncio
async def test_dismiss(client, db):
    img = await _img(db, {})
    tag = await TagService(db).find_or_create("DismissMe", TagKind.general)
    await db.commit()
    resp = await client.post(
        f"/api/images/{img.id}/suggestions/dismiss", json={"tag_id": tag.id}
    )
    assert resp.status_code == 204


@pytest.mark.asyncio
async def test_alias_requires_fields(client, db):
    img = await _img(db, {})
    resp = await client.post(
        f"/api/images/{img.id}/suggestions/alias", json={"alias_string": "x"}
    )
    assert resp.status_code == 400


async def _img_at(db, path, sha, preds):
    from tests._prediction_helpers import seed_predictions

    img = ImageRecord(
        path=path, sha256=sha, size_bytes=1, mime="image/jpeg",
        width=1, height=1, origin="imported_filesystem",
        integrity_status="unknown",
    )
    db.add(img)
    await db.commit()
    await seed_predictions(db, img.id, preds)
    await db.commit()
    return img


@pytest.mark.asyncio
async def test_alias_roundtrip_resolves_by_raw_key(client, db):
    """Locks the modal-alias contract: the suggestion exposes the RAW model key,
    an alias authored with that key resolves on a later image, and the resolved
    suggestion is flagged via_alias. (Pre-fix the modal stored the normalized
    display name, which never resolved.)"""
    canonical = await TagService(db).find_or_create(
        "Sasuke Uchiha", TagKind.character
    )
    await db.commit()
    preds = {"uchiha_sasuke": {"category": "character", "confidence": 0.99}}
    img_a = await _img_at(db, "/images/alias_a.jpg", "a" * 64, preds)

    # (a) raw_name is exposed so the modal can author the alias with it; the
    # raw prediction doesn't textually match the tag, so it'd otherwise be +new.
    body = await (
        await client.get(f"/api/images/{img_a.id}/suggestions")
    ).get_json()
    sug = body["by_category"]["character"][0]
    assert sug["raw_name"] == "uchiha_sasuke"
    assert sug["via_alias"] is False
    assert sug["creates_new_tag"] is True

    # Author the alias keyed by the RAW key (what the frontend now sends).
    resp = await client.post(
        f"/api/images/{img_a.id}/suggestions/alias",
        json={
            "alias_string": sug["raw_name"],
            "alias_category": "character",
            "canonical_tag_id": canonical.id,
        },
    )
    assert resp.status_code == 204

    # (b) A DIFFERENT image with the same prediction now resolves via the alias
    # (image A's tag is applied, so it's filtered there). Had the alias been
    # stored under the display name, this would NOT resolve.
    img_b = await _img_at(db, "/images/alias_b.jpg", "b" * 64, preds)
    body_b = await (
        await client.get(f"/api/images/{img_b.id}/suggestions")
    ).get_json()
    sug_b = body_b["by_category"]["character"][0]
    assert sug_b["canonical_tag_id"] == canonical.id
    assert sug_b["via_alias"] is True
    assert sug_b["creates_new_tag"] is False
    assert sug_b["raw_name"] == "uchiha_sasuke"