import json
import random 
import websocket
from PIL import Image
from datetime import datetime
from backend.modules.comfyui.image_tools import upload_image, show_gif
from backend.modules.comfyui.network_tools import get_images
from backend.utils.logger_config import setup_logger
from backend.utils.system_config import Config
from backend.config.prompt_config import FACE_PROMPT, CLOTH_PROMPT, PROMPT_PROMPT

system_config = Config('./backend/config/ai_swap_cloth_config.json')

logger = setup_logger(__name__)

def parse_workflow(raw_img, cloth_img, config) -> dict:
    try:
        # 上传图片
        logger.info('开始上传原始图片...')
        input_raw_img = upload_image(raw_img, config)
        logger.info('原始图片上传成功')

        # 上传衣服图片
        logger.info('开始上传衣服图片...')
        input_cloth_img = upload_image(cloth_img, config)
        logger.info('衣服图片上传成功')

        logger.info(f'Work flow args config: workflow-{config.workflowfile}, seed-{config.seed}')

        # 加载工作流配置
        try:
            with open(config.workflowfile, 'r', encoding='utf-8') as workflow:
                workflow_config = json.load(workflow)
        except FileNotFoundError:
            logger.error(f'工作流配置文件不存在: {config.workflowfile}')
            raise RuntimeError(f'工作流配置文件不存在: {config.workflowfile}')
        except json.JSONDecodeError as e:
            logger.error(f'工作流配置文件格式错误: {str(e)}')
            raise RuntimeError(f'工作流配置文件格式错误: {str(e)}')

        # 更新工作流参数（旧版）
        # workflow_config["307"]["inputs"]["image"] = input_raw_img
        # workflow_config["174"]["inputs"]["image"] = input_cloth_img
        # workflow_config["157"]["inputs"]["seed"] = config.seed

        # 更新工作流参数（1014版本）
        workflow_config["284"]["inputs"]["image"] = input_raw_img
        workflow_config["289"]["inputs"]["image"] = input_cloth_img
        workflow_config["286"]["inputs"]["seed"] = config.seed

        # 更新工作流参数（1028版本）
        # workflow_config["284"]["inputs"]["image"] = input_raw_img
        # workflow_config["289"]["inputs"]["image"] = input_cloth_img

        logger.info("开始执行工作流...")
        return get_images(workflow_config, config)
    
    except Exception as e:
        logger.error(f"工作流解析失败: {str(e)}")
        raise RuntimeError(f"工作流解析失败: {str(e)}")

def ai_swap_cloth_process(raw_img, cloth_img) -> list:
    ws = websocket.WebSocket()
    host_url = f"ws://{system_config.server_address}/ws?clientID={system_config.client_id}"

    try:
        ws.connect(host_url)
        logger.info(f'Request to: {host_url}')
    except Exception as e:
        logger.error(f"无法连接到ComfyUI服务器：{host_url}, 错误：{str(e)}")
        raise RuntimeError(f"ComfyUI服务器连接失败: {str(e)}")

    try: 
        images, history_prompt = parse_workflow(raw_img, cloth_img, system_config)
        logger.info(f"工作流解析完成，获取到{len(images)}个节点输出")
    except Exception as e:
        logger.error(f"工作流解析失败: {str(e)}")
        raise RuntimeError(f"工作流解析失败: {str(e)}")
    
    images_cc = []

    if not images:
        logger.error("没有获取到任何图片输出，请检查ComfyUI服务器状态和工作流配置")
        raise RuntimeError("AI处理未返回任何结果，请检查服务器状态")

    for node_id in images:
        logger.info(f"处理节点 {node_id}，包含 {len(images[node_id])} 张图片")
        for image_data in images[node_id]:
            timestamp = datetime.now().strftime("%Y%m%d%H%M%S")
            GIF_LOCATION = f"{system_config.output_dir}/{system_config.idx}_{system_config.seed}_{timestamp}.png"
            try:
                with open(GIF_LOCATION, "wb") as binary_file:
                    binary_file.write(image_data)
                    show_gif(GIF_LOCATION)
                system_config.idx += 1
                images_cc.append(Image.open(GIF_LOCATION))
                logger.info(f"图片保存成功: {GIF_LOCATION}")
            except Exception as e:
                logger.error(f"图片保存失败: {str(e)}")
                raise RuntimeError(f"图片保存失败: {str(e)}")
    
    logger.info(f'Prompt queue finished! The return result: {len(images_cc)} images')
    
    # 检查是否有处理结果
    if not images_cc:
        logger.error("没有生成任何图片结果")
        raise RuntimeError("AI处理未生成任何图片结果，请检查输入参数和服务器状态")
    
    return images_cc[0], history_prompt

if __name__ == "__main__":

    import numpy as np
    raw_img = np.array(Image.open('backend/data/02.jpg'))
    cloth_img = np.array(Image.open('backend/data/cloth.jpg'))
    images, history_prompt = ai_swap_cloth_process(raw_img, cloth_img)
    print("历史提示词：", history_prompt)