import tempfile
import random
import requests
import json
import logging
from PIL import Image
from huggingface_hub import HfApi
from cozepy import Coze, TokenAuth
import hashlib
import os

from app.config import DATASET_ID, COZE_API_TOKEN, HUGGING_FACE_TOKEN

# 配置日志
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(message)s')
logger = logging.getLogger(__name__)

# 初始化API客户端
api = HfApi()
# coze = Coze(auth=TokenAuth(token=COZE_API_TOKEN), base_url="https://api.coze.cn")


def calculate_image_hash(Image: Image.Image) -> str:
    """
    参数:
        Image
    返回:
        str: 图片的MD5哈希字符串
    """
    return hashlib.md5(Image.tobytes()).hexdigest()



def get_image_description(image_url: str) -> str:
    """获取图片描述"""
    pass
    # logger.info(f"Get image description")
    # workflow = coze.workflows.runs.create(
    #     workflow_id='7479742935953752091',
    #     parameters={
    #         "image_url": image_url
    #     }
    # )
    # logger.info(f"Image description: {workflow.data}")
    # if (workflow.data):
    #     description = json.loads(workflow.data)['output']
    #     return description
    # else:
    #     return ""

def save_image_temp(image: Image.Image) -> str:
    """保存图片到临时文件"""
    with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as temp_img:
        image.save(temp_img.name, "PNG")
        return temp_img.name


def upload_to_huggingface(temp_file_path: str) -> tuple:
    """上传图片到 HuggingFace"""
    image_filename = f"image_{random.randint(1000, 9999)}.png"
    file_path = f"images/{image_filename}"
    
    logger.info(f"Uploading image to HuggingFace: {file_path}")
    api.upload_file(
        path_or_fileobj=temp_file_path,
        path_in_repo=file_path,
        repo_id=DATASET_ID,
        token=HUGGING_FACE_TOKEN,
        repo_type="dataset"
    )
    logger.info(f"Image uploaded successfully: {file_path}")
    return file_path, image_filename

def upload_folder_to_huggingface(folder_path: str) -> None:
    """上传目录到 HuggingFace"""
    logger.info(f"Uploading folder to HuggingFace: {folder_path}")
    api.upload_folder(
        folder_path=folder_path,
        path_in_repo="images/",
        repo_id=DATASET_ID,
        token=HUGGING_FACE_TOKEN,
        repo_type="dataset"
    )
    logger.info(f"Image uploaded successfully: {folder_path}")
    return 


def get_image_cdn_url(file_path: str) -> str:
    """获取图片CDN URL"""
    image_url = f"https://huggingface.co/datasets/{DATASET_ID}/resolve/main/{file_path}"
    logger.info(f"Getting CDN URL for: {image_url}")
    
    response = requests.head(
        image_url, 
        allow_redirects=True,
        timeout=10,  
        headers={
            'User-Agent': 'NekoAI',
        }
    )
    image_cdn_url = response.url
    logger.info(f"CDN URL: {image_cdn_url}")
    return image_cdn_url


def format_image_url(file_path: str) -> str:
    """格式化图片URL，用于显示
    
    Args:
        file_path (str): 图片路径，可以是本地路径或HuggingFace路径
        
    Returns:
        str: 格式化后的URL
    """
    # 如果是本地文件，直接返回完整路径
    if os.path.exists(file_path):
        return os.path.abspath(file_path)
    
    # 如果是HuggingFace路径，返回完整的URL
    return f"https://huggingface.co/datasets/{DATASET_ID}/resolve/main/{file_path}"

def generate_temp_image(temp_dir: str, image: Image.Image, image_filename: str) -> str:
    """根据图片和文件名生成临时图片文件
    
    Args:
        temp_dir (str): 临时目录路径
        image (Image.Image): PIL图片对象
        image_filename (str): 图片文件名，格式为 image_XXXXXX.png
        
    Returns:
        str: 临时图片文件的路径
        
    Raises:
        ValueError: 如果临时目录不存在或无法访问
        IOError: 如果保存图片失败
    """
    try:
        # 确保临时目录存在
        if not os.path.exists(temp_dir):
            os.makedirs(temp_dir)
            logger.info(f"Created temporary directory: {temp_dir}")
        
        # 构建临时文件路径
        temp_file_path = os.path.join(temp_dir, image_filename)
        
        # 保存图片到临时文件
        image.save(temp_file_path, "PNG")
        logger.info(f"Generated temporary image: {temp_file_path}")
        
        return temp_file_path
        
    except OSError as e:
        logger.error(f"Failed to create temporary directory: {str(e)}")
        raise ValueError(f"Failed to create temporary directory: {str(e)}")
    except Exception as e:
        logger.error(f"Failed to generate temporary image: {str(e)}")
        raise IOError(f"Failed to generate temporary image: {str(e)}")