"""
文件上传和加载处理
"""
import streamlit as st
import json
import tempfile
from pathlib import Path
from PIL import Image

from .config_loader import load_structure_from_config
from .drawing import clear_table_image_cache

try:
	from table_line_generator import TableLineGenerator
except ImportError:
	from ..table_line_generator import TableLineGenerator

def handle_json_upload(uploaded_json):
    """处理 JSON 文件上传"""
    if uploaded_json is None:
        return
    
    if st.session_state.loaded_json_name == uploaded_json.name:
        return
    
    try:
        raw_data = json.load(uploaded_json)
        
        with st.expander("🔍 原始数据结构"):
            if isinstance(raw_data, dict):
                st.json({
                    k: f"<{type(v).__name__}>" 
                    if not isinstance(v, (str, int, float, bool, type(None))) 
                    else v 
                    for k, v in list(raw_data.items())[:5]
                })
            else:
                st.json(raw_data[:3] if len(raw_data) > 3 else raw_data)
        
        ocr_data = TableLineGenerator.parse_ocr_data(raw_data, tool="ppstructv3")
        
        if not ocr_data:
            st.error("❌ 无法解析 OCR 数据，请检查 JSON 格式")
            st.stop()
        
        st.session_state.ocr_data = ocr_data
        st.session_state.loaded_json_name = uploaded_json.name
        st.session_state.loaded_config_name = None
        
        # 清除旧数据
        if 'structure' in st.session_state:
            del st.session_state.structure
        if 'generator' in st.session_state:
            del st.session_state.generator
        st.session_state.undo_stack = []
        st.session_state.redo_stack = []
        clear_table_image_cache()
        
        st.success(f"✅ 成功加载 {len(ocr_data)} 条 OCR 记录")
        
    except Exception as e:
        st.error(f"❌ 加载数据失败: {e}")
        st.stop()


def handle_image_upload(uploaded_image):
    """处理图片文件上传"""
    if uploaded_image is None:
        return
    
    if st.session_state.loaded_image_name == uploaded_image.name:
        return
    
    try:
        image = Image.open(uploaded_image)
        st.session_state.image = image
        st.session_state.loaded_image_name = uploaded_image.name
        
        # 清除旧数据
        if 'structure' in st.session_state:
            del st.session_state.structure
        if 'generator' in st.session_state:
            del st.session_state.generator
        st.session_state.undo_stack = []
        st.session_state.redo_stack = []
        clear_table_image_cache()
        
        st.success(f"✅ 成功加载图片: {uploaded_image.name}")
        
    except Exception as e:
        st.error(f"❌ 加载图片失败: {e}")
        st.stop()


def handle_config_upload(uploaded_config):
    """处理配置文件上传"""
    if uploaded_config is None:
        return
    
    if st.session_state.loaded_config_name == uploaded_config.name:
        return
    
    try:
        # 创建临时文件
        with tempfile.NamedTemporaryFile(
            mode='w', 
            suffix='.json', 
            delete=False, 
            encoding='utf-8'
        ) as tmp:
            tmp.write(uploaded_config.getvalue().decode('utf-8'))
            tmp_path = tmp.name
        
        # 加载结构
        structure = load_structure_from_config(Path(tmp_path))
        
        # 清理临时文件
        Path(tmp_path).unlink()
        
        st.session_state.structure = structure
        st.session_state.loaded_config_name = uploaded_config.name
        
        # 清除历史记录和缓存
        st.session_state.undo_stack = []
        st.session_state.redo_stack = []
        clear_table_image_cache()
        
        st.success(f"✅ 成功加载配置: {uploaded_config.name}")
        st.info(
            f"📊 表格结构: {len(structure['rows'])}行 x {len(structure['columns'])}列\n\n"
            f"📏 横线数: {len(structure.get('horizontal_lines', []))}\n\n"
            f"📏 竖线数: {len(structure.get('vertical_lines', []))}"
        )
        
        # 显示配置文件详情
        with st.expander("📋 配置详情"):
            st.json({
                "行数": len(structure['rows']),
                "列数": len(structure['columns']),
                "横线数": len(structure.get('horizontal_lines', [])),
                "竖线数": len(structure.get('vertical_lines', [])),
                "行高": structure.get('row_height'),
                "列宽": structure.get('col_widths'),
                "已修改的横线": list(structure.get('modified_h_lines', set())),
                "已修改的竖线": list(structure.get('modified_v_lines', set()))
            })
        
    except Exception as e:
        st.error(f"❌ 加载配置失败: {e}")
        import traceback
        st.code(traceback.format_exc())
        st.stop()


def create_file_uploader_section(work_mode: str):
    """
    创建文件上传区域
    
    Args:
        work_mode: 工作模式（"🆕 新建标注" 或 "📂 加载已有标注"）
    """
    if work_mode == "🆕 新建标注":
        st.sidebar.subheader("上传文件")
        
        uploaded_json = st.sidebar.file_uploader(
            "上传OCR结果JSON", 
            type=['json'], 
            key="new_json"
        )
        uploaded_image = st.sidebar.file_uploader(
            "上传对应图片", 
            type=['jpg', 'png'], 
            key="new_image"
        )
        
        handle_json_upload(uploaded_json)
        handle_image_upload(uploaded_image)
    
    else:  # 加载已有标注
        st.sidebar.subheader("加载已保存的标注")
        
        uploaded_config = st.sidebar.file_uploader(
            "上传配置文件 (*_structure.json)",
            type=['json'],
            key="load_config"
        )
        
        uploaded_image_for_config = st.sidebar.file_uploader(
            "上传对应图片（可选）",
            type=['jpg', 'png'],
            key="load_image"
        )
        
        handle_config_upload(uploaded_config)
        handle_image_upload(uploaded_image_for_config)
        
        # 提示信息
        if 'structure' in st.session_state and st.session_state.image is None:
            st.warning("⚠️ 已加载配置，但未加载对应图片。请上传图片以查看效果。")
            st.info(
                "💡 提示：配置文件已加载，您可以：\n"
                "1. 上传对应图片查看效果\n"
                "2. 直接编辑配置并保存"
            )