# -*- coding: utf-8 -*-
# 修复 uniface 内部导入路径
import sys
import os

# 获取当前文件所在目录（digitalHuman/uniface）
_current_dir = os.path.dirname(os.path.abspath(__file__))
# 获取 digitalHuman 目录
_digital_human_dir = os.path.dirname(_current_dir)
# 将 digitalHuman 目录添加到 sys.path，这样 uniface 内部的导入可以正常工作
# 因为 uniface 内部使用 from uniface.xxx，需要让 uniface 作为顶级包
if _digital_human_dir not in sys.path:
    sys.path.insert(0, _digital_human_dir)

# 现在导入 uniface 的公共接口（使用相对导入以避免路径问题）
from .face_utils import compute_similarity, face_alignment
from .log import Logger, enable_logging
from .model_store import verify_model_weights
from .visualization import draw_detections

from .analyzer import FaceAnalyzer
from .attribute import AgeGender
from .face import Face

try:
    from .attribute import Emotion
except ImportError:
    Emotion = None  # PyTorch not installed

from .detection import (
    SCRFD,
    RetinaFace,
    create_detector,
    detect_faces,
    list_available_detectors,
)
from .landmark import Landmark106, create_landmarker
from .recognition import ArcFace, MobileFace, SphereFace, create_recognizer

__all__ = [
    '__author__',
    '__license__',
    '__version__',
    # Core classes
    'Face',
    'FaceAnalyzer',
    # Factory functions
    'create_detector',
    'create_landmarker',
    'create_recognizer',
    'detect_faces',
    'list_available_detectors',
    # Detection models
    'RetinaFace',
    'SCRFD',
    # Recognition models
    'ArcFace',
    'MobileFace',
    'SphereFace',
    # Landmark models
    'Landmark106',
    # Attribute models
    'AgeGender',
    'Emotion',
    # Utilities
    'compute_similarity',
    'draw_detections',
    'face_alignment',
    'verify_model_weights',
    'Logger',
    'enable_logging',
]