"""
PaddleX 适配器自动加载钩子
放置在 Python 搜索路径中，会在任何 Python 进程启动时自动执行
"""
import os
import sys

def load_paddlex_adapters():
    """自动加载 PaddleX 适配器"""
    # 只有设置了环境变量才激活
    if os.getenv("PADDLEX_ENABLE_TABLE_ADAPTER", "").lower() not in ("true", "1", "yes"):
        return
    
    try:
        # 确保适配器路径在 sys.path
        adapter_base = os.path.dirname(os.path.abspath(__file__))
        adapters_path = os.path.join(adapter_base, 'adapters')
        
        if adapters_path not in sys.path:
            sys.path.insert(0, adapters_path)
        
        # 延迟导入，只有在实际使用时才加载
        def activate_adapter():
            try:
                from adapters.table_recognition_adapter import apply_table_recognition_adapter, restore_original_function
                if apply_table_recognition_adapter():
                    print("✅ [sitecustomize] Table recognition adapter activated")
            except Exception as e:
                print(f"⚠️  [sitecustomize] Failed to activate adapter: {e}")
        
        # 监听 PaddleX 导入事件
        import importlib.abc
        import importlib.machinery
        
        class AdapterLoader(importlib.abc.MetaPathFinder):
            def find_module(self, fullname, path=None):
                if fullname == "paddlex.inference.pipelines.table_recognition.pipeline_v2":
                    # 在目标模块导入后激活适配器
                    activate_adapter()
                return None
        
        sys.meta_path.insert(0, AdapterLoader())
        
    except Exception as e:
        print(f"⚠️  [sitecustomize] Error setting up adapter hook: {e}")

# 自动执行
load_paddlex_adapters()