"""tests/conftest.py — shared pytest fixtures"""
from __future__ import annotations

import io
import sys
from pathlib import Path

import numpy as np
import pytest
from PIL import Image

# Ensure repo root is on path
sys.path.insert(0, str(Path(__file__).parent.parent))


@pytest.fixture
def fake_image_bytes() -> bytes:
    """Returns JPEG bytes of a random 224×224 RGB image."""
    arr = (np.random.rand(224, 224, 3) * 255).astype(np.uint8)
    img = Image.fromarray(arr)
    buf = io.BytesIO()
    img.save(buf, format="JPEG")
    return buf.getvalue()


@pytest.fixture
def fake_image_bytes_png() -> bytes:
    arr = (np.random.rand(224, 224, 3) * 255).astype(np.uint8)
    img = Image.fromarray(arr)
    buf = io.BytesIO()
    img.save(buf, format="PNG")
    return buf.getvalue()


@pytest.fixture
def fake_landmark_sequence() -> "np.ndarray":
    """Returns (64, 68, 3) float32 landmark array with random values in [0,1]."""
    return np.random.rand(64, 68, 3).astype(np.float32)


@pytest.fixture
def fake_lip_mfcc():
    """Returns (lip_frames, mfcc) as numpy arrays."""
    lip  = np.random.rand(25, 64, 96, 3).astype(np.float32)
    mfcc = np.random.rand(40, 50).astype(np.float32)
    return lip, mfcc


@pytest.fixture
def engine_result_fake():
    from src.types import EngineResult
    return EngineResult(
        engine="fingerprint",
        verdict="FAKE",
        confidence=0.92,
        explanation="Test explanation.",
        processing_time_ms=50.0,
    )


@pytest.fixture
def engine_result_real():
    from src.types import EngineResult
    return EngineResult(
        engine="fingerprint",
        verdict="REAL",
        confidence=0.85,
        explanation="No synthetic fingerprints found.",
        processing_time_ms=50.0,
    )