"""
数据集图片处理http接口
"""
from flask import Blueprint, request, send_file
from watermark_generate.domain import *
from watermark_generate.blind_watermark import WaterMark

dataset = Blueprint('dataset', __name__)

# 允许的扩展名
ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg'}


# 判断文件扩展名是否合法
def allowed_file(filename):
    return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS


def get_file_extension(filename):
    return filename.rsplit('.', 1)[1].lower()


@dataset.route('/znwr/jit/ai/v1/picture_embed', methods=['POST'])
def picture_embed_label():
    label = request.form.get('label')
    if 'file' not in request.files:
        return VerifyLabelRespSchema().dump(VerifyLabelResp(code=-1, msg='No file part'))
    file = request.files['file']
    file_name = file.filename
    if file_name == '':
        return VerifyLabelRespSchema().dump(VerifyLabelResp(code=-1, msg='No selected file'))
    if file and allowed_file(file_name):
        file_extension = get_file_extension(file_name)
        save_file_name = f'uploaded_image.{file_extension}'
        embed_file_name = f'embed_image.{file_extension}'
        file.save(save_file_name)  # 保存图片到服务器

        # 嵌入水印
        bwm1 = WaterMark(password_img=1, password_wm=1)
        bwm1.read_img(save_file_name)
        wm = '@guofei9987 开源万岁！'
        bwm1.read_wm(wm, mode='str')
        bwm1.embed(embed_file_name)
        # len_wm = len(bwm1.wm_bit)
        # wm_extract = bwm1.extract(embed_file_name, wm_shape=len_wm, mode='str')
        # print(wm_extract)
        # todo 添加嵌入水印后验证逻辑

        # 确定文件的MIME类型
        if file_extension == 'jpg' or file_extension == 'jpeg':
            mimetype = 'image/jpeg'
        elif file_extension == 'png':
            mimetype = 'image/png'
        else:
            # 如果无法确定文件类型，默认使用二进制流
            mimetype = 'application/octet-stream'
        return send_file(open(embed_file_name, 'rb'), mimetype=mimetype, download_name=embed_file_name)
    else:
        return VerifyLabelRespSchema().dump(VerifyLabelResp(code=-1, msg='File type not allowed'))


@dataset.route('/znwr/jit/ai/v1/picture_check', methods=['POST'])
def picture_embed_check():
    result = True
    resp = VerifyLabelResp(code=0, msg='ok') if result else VerifyLabelResp(
        code=-1,
        msg='picture embedding function check error'
    )
    return VerifyLabelRespSchema().dump(resp)