CameraMachine/python/service/base_deal.py

import json
from .module_generate_goods_art_no_table import GenerateGoodsArtNoTable
from func_timeout import FunctionTimedOut
from .grenerate_main_image_test import GeneratePic
from threading import Lock

import settings
from collections import defaultdict
from .remove_bg_ali import RemoveBgALi, Picture
from .deal_cutout import DealCutout


import time
from .image_pic_deal import OnePicDeal

from natsort import natsorted,ns
import os
import  shutil
import exifread
import datetime
from databases import DeviceConfig,SqlQuery,CRUD
from model.photo_record import PhotoRecord
import requests
import copy


"""
照片自动货号匹配 将图片放置在指定文件夹下，并自动对应不同的货号进行整理
"""

_Type = ['.png', '.PNG', '.jpg', '.JPG', '.gif', '.GIF', ".jpge", ".JPGE"]


class BaseDealImage(object):
    def __init__(self, image_dir=None,token=None):
        self.token = token
        self.goods_images_count_dict = defaultdict(int)
        # 数据模型
        # self.data_mode_auto_deal_pics = DataModeAutoDealPics()
        self.image_dir = image_dir
        pass

    def run_main(self, all_goods_art_no_folder_data, callback_func=None, cutout_mode=None,
                 resize_image_view=None, windows=None, logo_path=None, image_order_list=None):
        # 对所有缺失已抠图的进行抠图处理
        self.run_cutout_image(all_goods_art_no_folder_data=all_goods_art_no_folder_data,
                              callback_func=callback_func,
                              cutout_mode=cutout_mode,
                              windows=windows,
                              )
        error_num = 0
        successful_num = 0
        for goods_art_no_folder_data in all_goods_art_no_folder_data:
            if goods_art_no_folder_data["label"] != "待处理":
                continue
            if windows:
                if windows.state != 1:
                    break
            folder_name = goods_art_no_folder_data["folder_name"]
            callback_func("开始处理文件夹==========  {} ".format(folder_name))
            if settings.IS_TEST:
                flag = self.shoes_run_one_folder_to_deal(goods_art_no_folder_data=goods_art_no_folder_data,
                                                         resize_image_view=resize_image_view,
                                                         logo_path=logo_path,
                                                         image_order_list=image_order_list,
                                                         callback_func=callback_func,
                                                         windows=windows,
                                                         )
                if flag is None:
                    callback_func("货号:{} 数据异常".format(folder_name))
                else:
                    if flag:
                        successful_num += 1
                        callback_func("货号:{} 图片生成处理成功".format(folder_name))
                    else:
                        error_num += 1
                        callback_func("货号:{} 图片生成处理失败".format(folder_name))
            else:
                try:
                    flag = self.shoes_run_one_folder_to_deal(goods_art_no_folder_data=goods_art_no_folder_data,
                                                             resize_image_view=resize_image_view,
                                                             logo_path=logo_path,
                                                             image_order_list=image_order_list,
                                                             callback_func=callback_func,
                                                             windows=windows,
                                                             )
                    if flag is None:
                        callback_func("货号:{} 数据异常".format(folder_name))
                    else:
                        if flag:
                            successful_num += 1
                            callback_func("货号:{} 图片生成处理成功".format(folder_name))
                        else:
                            error_num += 1
                            callback_func("货号:{} 图片生成处理失败".format(folder_name))
                except BaseException as e:
                    error_num += 1
                    import traceback
                    traceback.print_exc()
                    callback_func("货号:{} 图片生成处理异常，原因：{}".format(folder_name, e))
        callback_func("处理成功：{}个，失败：{}".format(successful_num, error_num))

    def checkImageAmount(self, image_dir: str, amount: int, todo_goods_art_no_folder_name_list=None) -> dict:
        result = {'code': 0, 'msg': '', 'data': {}}
        for goods_art_no_folder in self.list_dir(image_dir):
            # 指定内容检查
            if todo_goods_art_no_folder_name_list is not None:
                if goods_art_no_folder not in todo_goods_art_no_folder_name_list:
                    continue

            if not os.path.isdir("{}/{}".format(image_dir, goods_art_no_folder)):
                continue
            if "软件" in goods_art_no_folder:
                continue
            if "无法" in goods_art_no_folder:
                continue
            if "原始图" not in self.list_dir("{}/{}".format(image_dir, goods_art_no_folder)):
                result['data'][goods_art_no_folder] = '文件夹下，没有 原始图 文件夹\n'
                continue

            # 计算单个文件夹原图数量
            images = [x for x in self.list_dir("{}/{}/原始图".format(image_dir, goods_art_no_folder))]
            image_num = 0
            for pic_file_name in images:
                _, e = os.path.splitext(pic_file_name)
                if e in _Type:
                    image_num += 1
            # if self.number_pictures != 0:
            if image_num > amount:
                result['data'][goods_art_no_folder] = '货号图片大于{}张~\n'.format(amount)
            if image_num < 2:
                result['data'][goods_art_no_folder] = '货号图片小于于2张~\n'
        if result['data']:
            result['code'] = 1
        return result

    def check_folders_image_amount(self, all_goods_art_no_folder_data, image_order_list):
        print("*****************check_folders_image_amount************************")
        amount = len(image_order_list)
        # print("图片数量检查===>", amount)
        message = ""
        for goods_art_no_folder_data in all_goods_art_no_folder_data:
            if goods_art_no_folder_data["label"] != "待处理":
                continue
            folder_path = goods_art_no_folder_data["folder_path"]
            folder_name = goods_art_no_folder_data["folder_name"]
            images = [x for x in self.list_dir("{}/原始图".format(folder_path))]
            image_num = 0
            for pic_file_name in images:
                _, e = os.path.splitext(pic_file_name)
                if e in _Type:
                    image_num += 1
            # print("图片数量判断===>", image_num)
            # if image_num > amount:
            #     goods_art_no_folder_data["label"] = "错误"
            #     message += '货号{}:图片大于{}张~\n'.format(folder_name, amount)
            # if image_num < 2:
            #     message += '货号{}:图片小于于2张~\n'.format(folder_name)

        return all_goods_art_no_folder_data, message

    def check_one_folder_image_amount(self, folder_data, amount: int):
        print("*****************check_one_folder_image_amount************************")
        # 计算单个文件夹原图数量
        images = [x for x in self.list_dir("{}/原始图".format(folder_data["folder_path"]))]
        image_num = 0
        for pic_file_name in images:
            _, e = os.path.splitext(pic_file_name)
            if e in _Type:
                image_num += 1
        if image_num > amount:
            return False, '货号{}:图片大于{}张~\n'.format(folder_data["folder_name"], amount)
        if image_num < 2:
            return False, '货号{}:图片小于于2张~\n'.format(folder_data["folder_name"])
        return True, ""

    # 指定的图片顺序
    def getImageOrder(self, image_order: str, resize_image_view: str):
        imageOrderList = image_order.replace("，", ",").replace(' ', '').replace('图', '').split(",")
        if len(set(imageOrderList)) != len(imageOrderList):
            return {'code': 1, 'msg': '图片位置与顺序重复，请检查您的输入'}

        for val in imageOrderList:
            if val not in ["俯视", "侧视", "后跟", "鞋底", "内里", "组合", "组合2", "组合3", "组合4", "组合5"]:
                return {'code': 1, 'msg': '可选项为：俯视,侧视,后跟,鞋底,内里,组合,组合2,组合3,组合4,组合5'}

        if resize_image_view not in imageOrderList:
            return {'code': 1, 'msg': '缩小的步骤必须是你填写的图片顺序中'}

        return {'code': 0, 'msg': 'sucess', 'imageOrderList': imageOrderList}

    def shoes_run_one_folder_to_deal(self,
                                     goods_art_no_folder_data,
                                     image_order_list: list,
                                     resize_image_view: str,
                                     logo_path="",
                                     windows=None,
                                     callback_func=None):
        """
        操作步骤：
        1、查询每个图片的角度
        2、
        """

        is_successful = True

        folder_path = goods_art_no_folder_data["folder_path"]
        folder_name = goods_art_no_folder_data["folder_name"]
        all_original_images = self.get_images("{}/原始图".format(folder_path))
        self.check_path('{}/800x800'.format(folder_path))
        self.crate_all_folders(folder_path)
        print("all_original_images====>",all_original_images)
        if not all_original_images:
            return None
            # _ = ["俯视", "侧视", "后跟", "鞋底", "内里"]
        for index, image_dict in enumerate(all_original_images):
            if index < len(image_order_list):
                image_dict["image_view"] = image_order_list[index]
            else:
                image_dict["image_view"] = '其他{}'.format(len(image_order_list) - index + 1)

        # ====================处理所有图片的顺序====================
        # ["俯视", "侧视", "后跟", "鞋底", "内里"]
        _config = {"俯视": 1,
                   "侧视": 2,
                   "后跟": 3,
                   "鞋底": 4,
                   "内里": 5, }

        r = time.time()
        n = 0
        _index = 0
        # 检查是否有重复的角度
        _d_views = []
        f = True
        for image_dict in all_original_images:
            n += 1
            _index += 1
            image_dict["old_file_name"] = image_dict["file_name"]
            image_dict["random_name"] = "{}-{}".format(r, n)
            if image_dict["image_view"] in _config:
                if image_dict["image_view"] not in _d_views:
                    _d_views.append(image_dict["image_view"])
                else:
                    callback_func("货号:{} 处理失败".format(folder_name))
                    # self.show_progress_detail("货号图{}  存在多个{} 角度~".format(goods_art_no_folder, image_dict["image_view"]))
                    return None

                image_dict["index"] = _config[image_dict["image_view"]]
            else:
                image_dict["index"] = _index

        all_original_images.sort(key=lambda x: x["index"])
        #  ==========直接进行处理=============
        i_n = 0
        image_index = 0  # 图片顺序
        is_image_deal_mode = 0

        # 删除目录再新建
        if os.path.exists('{}/阴影图处理'.format(folder_path)):
            shutil.rmtree('{}/阴影图处理'.format(folder_path))

        self.crate_all_folders(folder_path)
        print(
            "***************all_original_images*********************",
            all_original_images,
        )
        for image_dict in all_original_images:
            if windows:
                if windows.state != 1:
                    return None
            i_n += 1
            image_index += 1
            original_image_path = "{}/原始图/{}{}".format(folder_path, image_dict["file_name"], image_dict["e"])
            file_name = image_dict["file_name"]
            print("正在处理，货号：{}".format(folder_path))

            # self.show_progress_detail("正在处理，货号：{}".format(file_name))
            # 该文件在800images下没有时，则进行生成新的抠图
            # 检查是否存在已抠图文件，如没有再去抠图

            original_move_bg_image_path = "{}/原始图_已抠图/{}{}".format(folder_path, image_dict["file_name"], ".png")
            print(
                f"*****************此处判断鞋子是否为左右脚====>{image_index}<======={is_image_deal_mode}=======>**********************"
            )
            # 此处判断鞋子是否为左右脚
            if image_index == 1:
                is_image_deal_mode = 0
                print("开始识别左右脚=========>")
                if OnePicDeal(self.token).check_shoe_is_right(
                    image_path=original_move_bg_image_path
                ):
                    is_image_deal_mode = 1  # 1表示要镜像，0表示不做镜像
            print(
                "*************************进行800image 生成********************************************"
            )
            """进行800image 生成"""
            generate_pic = GeneratePic()
            print(
                "*************************进行800image 结束====>>>>********************************************"
            )
            if settings.OUT_PIC_MODE == ".jpg":
                out_path = "{}/800x800/{}{}".format(folder_path, file_name, ".jpg")
            elif settings.OUT_PIC_MODE == ".png":
                out_path = "{}/800x800/{}{}".format(folder_path, file_name, ".png")
            else:
                out_path = "{}/800x800/{}{}".format(
                    folder_path, file_name, settings.OUT_PIC_MODE
                )
            """
            pp_bg.save_as_other(
                            out_pic_path, settings.OUT_PIC_MODE.split(".")[-1]
                        )
            """

            out_process_path_1 = "{}/阴影图处理/{}_{}_阴影{}".format(folder_path, file_name,
                                                              image_dict["image_view"], ".png")

            out_process_path_2 = "{}/阴影图处理/{}_{}_抠图{}".format(folder_path, file_name,
                                                              image_dict["image_view"], ".png")

            resize_mode = 1
            max_box = None

            print("------------1", image_dict["image_view"], resize_image_view)
            if image_dict["image_view"] == resize_image_view:
                print(image_dict["image_view"], resize_image_view)
                resize_mode = 2

            if settings.Mode == "皮具":
                max_box = (1000, 1200)

            if resize_mode == 2:
                print(
                    "参数打印================》",
                    is_image_deal_mode,
                    resize_mode,
                    settings.OUT_PIC_SIZE,
                    True if i_n == 1 else False,
                    max_box
                )
            print("**********123456********************")
            curve_mask = True if "俯视" in image_order_list else False
            if not generate_pic.run(
                image_path=original_image_path,
                cut_image_path=original_move_bg_image_path,
                out_path=out_path,
                image_deal_mode=is_image_deal_mode,
                resize_mode=resize_mode,
                out_pic_size=settings.OUT_PIC_SIZE,
                is_logo=True if i_n == 1 else False,
                out_process_path_1=out_process_path_1,
                out_process_path_2=out_process_path_2,
                max_box=max_box,
                logo_path=logo_path,
                curve_mask=curve_mask,
            ):
                print("**********222222222222222222222222222********************")
                is_successful = False
        if is_successful:
            return True
        else:
            return False

    def to_upload_pic(self, file_path, is_resize=True):
        file_name = os.path.split(file_path)[1]
        e = os.path.splitext(file_name)[1][1:]

        im = Picture(file_path)
        if im.x > 500:
            im.resize(width=500)

        _ = {"jpg": "JPEG",
             "JPG": "JPEG",
             "JPEG": "JPEG",
             "jpeg": "JPEG",
             "png": "PNG",
             "PNG": "PNG", }
        e = _[e]
        image_io = im.save_to_io(e)
        goods_data = {"file_path": os.path.split(file_path)[1],
                      "image_io": image_io,
                      "e": e
                      }
        url = self.data_mode_image_cut.get_online_data.upload_pic(goods_data=goods_data)
        return url

    def get_images(self, path):
        image_list = []  # 过滤非图片数据
        for _file in self.list_dir(path):
            file_name, e = os.path.splitext(_file)
            if e in _Type:
                image_list.append({"file_path": "{}/{}".format(path, _file),
                                   "file_name": file_name,
                                   "e": e})
        return image_list

    def crate_all_folders(self, root_path):
        path_list = ["800x800", "原始图_已抠图", "阴影图处理"]
        for i in path_list:
            path = "{}/{}".format(root_path, i)
            self.check_path(path)

    def run_cutout_image(self, all_goods_art_no_folder_data, callback_func=None, cutout_mode=1, windows=None):
        """
        处理所有的抠图
        """
        callback_func('开始处理抠图~')
        error_goods_art_no_folder = []
        for goods_art_no_folder_data in all_goods_art_no_folder_data:
            if goods_art_no_folder_data["label"] != "待处理":
                continue
            folder_path = goods_art_no_folder_data["folder_path"]
            self.crate_all_folders(folder_path)
            # 检查是否存在已抠图文件，如没有再去抠图
            images = [x for x in self.list_dir("{}/原始图".format(folder_path))]
            cutImageList = []
            for pic_file_name in images:
                if windows:
                    if windows.state != 1:
                        break
                # 根据名称判断，没有抠图过的，进行统计
                file_name, suffix = os.path.splitext(pic_file_name)
                if suffix in _Type:
                    original_image_path = "{}/原始图/{}".format(folder_path, pic_file_name)
                    original_move_bg_image_path = "{}/原始图_已抠图/{}{}".format(folder_path, file_name, ".png")
                    if not os.path.exists(original_move_bg_image_path):
                        # 没有抠图文件，进行抠图生成
                        callback_func("正在抠图 货号：{}".format(file_name))
                        if cutout_mode == '2':
                            cutImageList.append({
                                "file_name": file_name,  # 文件名
                                "file_e": suffix,  # 后缀，.jpg
                                "file_path": original_image_path,  # 完整路径
                                "file": '{}{}'.format(file_name, suffix),  # 图片文件名，带后缀
                                "need_cutout": True,  # 必须，需要抠图
                                "out_path": original_move_bg_image_path
                            })
                        else:
                            remove_pic_ins = RemoveBgALi()
                            if settings.IS_TEST:
                                im = remove_pic_ins.get_image_cut(file_path=original_image_path,
                                                                  out_file_path=original_move_bg_image_path)
                            else:
                                try:
                                    im = remove_pic_ins.get_image_cut(file_path=original_image_path,
                                                                      out_file_path=original_move_bg_image_path)
                                except FunctionTimedOut as f:
                                    callback_func("货号图{} 抠图处理超时~".format(file_name))
                                    im = None
                                except BaseException as e:
                                    callback_func("货号图{} 抠图处理失败,原因{}".format(file_name, e))
                                    im = None

                            if not im:
                                callback_func("货号图{} 抠图处理失败~".format(file_name))
                                continue
                            else:
                                callback_func("货号图{} 抠图完成~".format(file_name))

            if cutout_mode == '2':
                dealCutout = DealCutout(windows=None)
                dealCutout.need_cutout_images = cutImageList
                dealCutout.run()
                while True:
                    time.sleep(1)
                    if windows:
                        if windows.state != 1:
                            break
                    if dealCutout.state == 3:
                        if len(dealCutout.resultData) != len(cutImageList):
                            error_goods_art_no_folder.append(folder_path)
                        break

        if error_goods_art_no_folder:
            print("以下货号抠图失败~\n {}".format(error_goods_art_no_folder))
            callback_func("以下货号抠图失败~\n {}".format(error_goods_art_no_folder))
        else:
            callback_func("完成抠图处理")

    def checkCutoutImage(self, image_dir: str, todo_goods_art_no_folder_name_list=None):
        """
        进行图片检查，不合规的直接提示
        """
        error_goods_art_no_folder = []
        self.check_path("{}/软件-处理失败".format(image_dir))

        for goods_art_no_folder in self.list_dir(image_dir):
            # 指定内容检查
            if todo_goods_art_no_folder_name_list is not None:
                if goods_art_no_folder not in todo_goods_art_no_folder_name_list:
                    continue

            if not os.path.isdir("{}/{}".format(image_dir, goods_art_no_folder)):
                continue
            if "软件" in goods_art_no_folder:
                continue
            if "无法" in goods_art_no_folder:
                continue
            if "原始图" not in self.list_dir("{}/{}".format(image_dir, goods_art_no_folder)):
                error_goods_art_no_folder.append(goods_art_no_folder)
                continue

            self.check_path("{}/{}/原始图_已抠图".format(image_dir, goods_art_no_folder))
            self.check_path("{}/{}/800x800".format(image_dir, goods_art_no_folder))
            self.check_path("{}/{}/阴影图处理".format(image_dir, goods_art_no_folder))

        if error_goods_art_no_folder:
            self.move_folders(path_list=["{}/{}".format(self.image_dir, x) for x in error_goods_art_no_folder],
                              target_folder="{}/软件-处理失败".format(self.image_dir))
            return False

    def move_folders(self, path_list, target_folder):
        for source_folder in path_list:
            shutil.move(source_folder, target_folder)

    def rename_folder_for_hqt(self, all_goods_art_no_folder_data):
        """
        步骤：
        规整红蜻蜓的文件名
        重新按文件名进行命名
        """
        goods_art_no_list = []
        for goods_art_no_folder_data in all_goods_art_no_folder_data:
            if "@" not in goods_art_no_folder_data["folder_name"]:
                goods_art_no_folder_data["label"] = "待处理"
                goods_art_no_list.append(goods_art_no_folder_data["folder_name"])
            else:
                goods_art_no_folder_data["label"] = "不处理"

        if goods_art_no_list:
            # goods_art_no_dict 文件夹与货号的字典
            goods_art_no_dict = self.get_data_from_hqt_with_goods_art_no(
                goods_art_no_list=goods_art_no_list)
            for goods_art_no_folder_data in all_goods_art_no_folder_data:
                if goods_art_no_folder_data["label"] != "待处理":
                    continue
                goods_art_no_folder = goods_art_no_folder_data["folder_name"]
                if goods_art_no_folder in goods_art_no_dict:
                    print(goods_art_no_folder)
                    old_folder_path = goods_art_no_folder_data["folder_path"]
                    new_folder_name = "{}@NUM{}".format(goods_art_no_folder,
                                                        goods_art_no_dict[goods_art_no_folder]["编号"])
                    new_folder_path = "{}/{}".format(goods_art_no_folder_data["root_path"], new_folder_name)
                    try:
                        os.rename(old_folder_path, new_folder_path)
                        goods_art_no_folder_data["folder_path"] = new_folder_path
                        goods_art_no_folder_data["folder_name"] = new_folder_path
                        goods_art_no_folder_data["label"] = "待处理"
                    except BaseException as e:
                        goods_art_no_folder_data["label"] = "不处理"
                        print("521 文件夹重名命失败:{}".format(e))

        # 重新规整修改图片名称
        for goods_art_no_folder_data in all_goods_art_no_folder_data:
            if goods_art_no_folder_data["label"] != "待处理":
                continue
            goods_art_no_folder = goods_art_no_folder_data["folder_name"]
            _img_all = self.list_dir("{}/原始图".format(goods_art_no_folder_data["folder_path"]))
            index = 0
            for _file in _img_all:
                file_name, suffix = os.path.splitext(_file)
                if suffix in _Type:
                    index += 1
                    folder_path = goods_art_no_folder_data["folder_path"]
                    new_file_name = "{}（{}）{}".format(goods_art_no_folder, index, suffix)
                    new_path = "{}/原始图/{}".format(folder_path, new_file_name)
                    old_path = "{}/原始图/{}".format(folder_path, _file)
                    crop_new_path = "{}/原始图_已抠图/{}".format(folder_path, "{}（{}）.png".format(goods_art_no_folder, index))
                    crop_old_path = "{}/原始图_已抠图/{}".format(folder_path, "{}.png".format(file_name))

                    if old_path != new_path:
                        # 存在货号命名错误的，进行修正
                        try:
                            if os.path.exists(old_path):
                                os.rename(old_path, new_path)
                            if os.path.exists(crop_old_path):
                                os.rename(crop_old_path, crop_new_path)
                        except BaseException as e:
                            goods_art_no_folder_data["label"] = "不处理"
                            print("550 文件夹重名命失败:{}".format(e))

    def cutImagePiju(self, image_dir: str, image_order='', is_check_number=True, is_filter=True, resize_image_view='后跟',
                     callback_func=None, event=None, todo_goods_art_no_folder_name_list=None):
        """
        1、遍历文件夹，基于生成的结果图看哪些需要进行抠图等处理
        2、压缩并上传平台获取抠图
        3、抠图处理成白底图
        4、做成800*800/200*200
        :return:
        """
        logo_path = ""

        res = self.getImageOrder(image_order=image_order, resize_image_view=resize_image_view)
        if res['code'] != 0:
            callback_func(res['msg'])
            return {'code': 1, 'msg': res['msg']}

        imageOrderList = res['imageOrderList']

        """扫描文档，检查有哪些需要进行抠图等处理"""
        self.lock = Lock()
        to_do_images_total = 0
        error_goods_art_no_folder = []
        for goods_art_no_folder in self.list_dir(image_dir):
            # 指定内容检查
            if todo_goods_art_no_folder_name_list is not None:
                if goods_art_no_folder not in todo_goods_art_no_folder_name_list:
                    continue

            if not os.path.isdir("{}/{}".format(image_dir, goods_art_no_folder)):
                continue

            self.check_path("{}/{}/原始图".format(image_dir, goods_art_no_folder))
            self.check_path("{}/{}/原始图_已抠图".format(image_dir, goods_art_no_folder))
            self.check_path("{}/{}/800x800".format(image_dir, goods_art_no_folder))
            self.check_path("{}/{}/阴影图处理".format(image_dir, goods_art_no_folder))

            # 遍历原始图片文件夹
            all_original_images = [x for x in
                                   self.list_dir(
                                       "{}/{}/原始图".format(image_dir, goods_art_no_folder))]
            # 检查已抠图文件夹
            all_moved_images = [os.path.splitext(x)[0] for x in
                                self.list_dir(
                                    "{}/{}/原始图_已抠图".format(image_dir, goods_art_no_folder))]

            all_800images = [os.path.splitext(x)[0] for x in
                             self.list_dir(
                                 "{}/{}/800x800".format(image_dir, goods_art_no_folder))]
            if is_check_number and len(imageOrderList) != len(all_original_images):
                callback_func("{} 文件夹下图片数量与订单数量不一致，请检查！".format(goods_art_no_folder))
                return {'code': 1, 'msg': '{} 文件夹下图片数量与订单数量不一致，请检查！'.format(goods_art_no_folder)}

            all_800images = []
            image_num = 0
            for pic_file_name in all_original_images:
                if pic_file_name not in all_800images:
                    # 根据名称判断，没有抠图过的，进行统计
                    _, e = os.path.splitext(pic_file_name)
                    print(e)
                    if e in _Type:
                        image_num += 1
                        print("----------》", goods_art_no_folder, pic_file_name)
                        to_do_images_total += 1
            # if image_num > 5:
            #     error_goods_art_no_folder.append(goods_art_no_folder)

        # if error_goods_art_no_folder:
        #     self.show_progress_detail("以下货号图片张数超过5张~\n {}".format(error_goods_art_no_folder))
        #     self.set_state(state_value=2)
        #     return

        if to_do_images_total > 0:
            # self.progress_sign.emit({"type": "处理图片 抠图、加工等", "progress_bar_value": 0})

            for goods_art_no_folder in self.list_dir(image_dir):
                # 指定内容检查
                if todo_goods_art_no_folder_name_list is not None:
                    if goods_art_no_folder not in todo_goods_art_no_folder_name_list:
                        continue

                if not os.path.isdir('{}/{}'.format(image_dir, goods_art_no_folder)):
                    continue

                self.run_one_folder_to_deal(goods_art_no_folder=goods_art_no_folder,
                                            image_dir=image_dir,
                                            image_order=image_order,
                                            resize_image_view=resize_image_view,
                                            callback_func=callback_func,
                                            logo_path=logo_path,
                                            )
        else:
            # self.show_progress_detail("没有需要处理的图片~")
            callback_func('没有需要处理的图片~')
        # self.set_state(state_value=2)
        return {'code': 0, 'msg': 'ok'}

    def run_one_folder_to_deal(self, goods_art_no_folder, image_dir, image_order, resize_image_view,
                               callback_func=None, logo_path=""):

        _img_all = self.list_dir("{}/{}/原始图".format(image_dir, goods_art_no_folder))
        all_original_images = []  # 过滤非图片数据
        index = 0
        for _file in _img_all:

            file_name, e = os.path.splitext(_file)
            if e in _Type:
                index += 1
                new_file_name = "{}（{}）{}".format(goods_art_no_folder, index, e)
                new_path = "{}/{}/原始图/{}".format(image_dir, goods_art_no_folder, new_file_name)
                old_path = "{}/{}/原始图/{}".format(image_dir, goods_art_no_folder, _file)
                if old_path != new_path:
                    # 存在货号命名错误的，进行修正
                    try:
                        os.rename(old_path, new_path)
                    except:
                        pass
                all_original_images.append(new_file_name)

        if os.path.exists("{}/{}/原始图/镜像.txt".format(image_dir, goods_art_no_folder)):
            file_mirror_mark = True
        else:
            file_mirror_mark = None
        # if goods_art_no_folder == "AC51016112":
        #     print(file_mirror_mark)
        #     raise 111

        all_moved_images = [os.path.splitext(x)[0] for x in
                            self.list_dir("{}/{}/原始图_已抠图".format(image_dir, goods_art_no_folder))]
        all_800images = [os.path.splitext(x)[0] for x in
                         self.list_dir(
                             "{}/{}/800x800".format(image_dir, goods_art_no_folder))]
        all_800images = []

        # 检查哪些图片没有做过抠图处理
        i_n = 0
        _name_list = ["视角{}".format(x) for x in range(1, len(all_original_images) + 1)]
        # if goods_art_no_folder == "AC51028001":
        #     _name_list = ["正视", "45度", "侧视", "后视", "底视", "其他1", "其他2", "其他3"]

        image_index = 0  # 图片顺序
        is_image_deal_mode = 0
        max_box = None

        for file in all_original_images:
            i_n += 1
            image_index += 1
            original_image_path = "{}/{}/原始图/{}".format(image_dir, goods_art_no_folder, file)
            file_name = os.path.splitext(file)[0]
            """
            当第三张就是为后跟
            """
            if file_name not in all_800images:  # 所有都重新生成
                # if goods_art_no_folder != "AC51016112":
                #     continue
                goods_art_no_folder_path = "{}/{}".format(image_dir, goods_art_no_folder)
                print("正在处理，货号：{}".format(goods_art_no_folder_path))
                # self.show_progress_detail("正在处理，货号：{}".format(file_name))
                callback_func("正在处理，货号：{}".format(file_name))
                # 该文件在800images下没有时，则进行生成新的抠图
                # 检查是否存在已抠图文件，如没有再去抠图
                original_move_bg_image_path = "{}/原始图_已抠图/{}{}".format(goods_art_no_folder_path, file_name,
                                                                       ".png")

                image_deal_mode = 0  # 默认图片不做镜像处理
                if not os.path.exists(original_move_bg_image_path):
                    # 没有抠图文件，进行抠图生成
                    # self.show_progress_detail("正在抠图 货号：{}".format(file_name))
                    callback_func("正在抠图 货号：{}".format(file_name))
                    remove_pic_ins = RemoveBgALi()
                    im = remove_pic_ins.get_image_cut(file_path=original_image_path,
                                                      out_file_path=original_move_bg_image_path)

                    if not im:
                        # self.show_progress_detail("货号图{} 抠图处理失败~".format(file_name))
                        callback_func("货号图{} 抠图处理失败~".format(file_name))
                        continue

                if image_index == 1:
                    is_image_deal_mode = 0
                    if settings.Mode == "鞋类":
                        goods_class = "鞋"
                        # 如果图片已存在，则需要通过加载图片判断是否为左右脚
                        if OnePicDeal().check_shoe_is_right(image_path=original_move_bg_image_path):
                            image_deal_mode = 1  # 1表示要镜像，0表示不做镜像
                            is_image_deal_mode = 1
                    if settings.Mode == "皮具":
                        # 图片对应的商品类型
                        # goods_class = self.get_goods_class(goods_art_no_folder, original_image_path)
                        max_box = (1000, 1200)
                        # _ = {"AC51028001": "女包",
                        #      "AC51028002": "男包",
                        #      "AC51028003": "皮带",
                        #      "AC51028004": "女包"}
                        # if goods_class in _:
                        #     goods_class = _[goods_class]
                        # else:
                        #     goods_class = "女包"
                        #
                        # _ = {"女包": (1000, 1200),
                        #      "男包": (1000, 1200),
                        #      "皮带": (1000, 1000), }
                        # max_box = _[goods_class]

                # 获取图片信息非必要程序，用于处理图片模式
                date_time_original = self.get_date_time_original(original_image_path)  # 获取照片拍照时间

                if date_time_original:
                    # 基于照片的时间，与数据库匹配goods_art_no
                    self.lock.acquire()
                    _data = self.dataModeMatchPhoto.get_goods_art_no(date_time_original)
                    self.lock.release()

                    if _data:
                        # 能匹配上数据库
                        goods_art_no, _image_index, _image_deal_mode = _data
                        if _image_index < 10:
                            image_index = _image_index

                        if _image_deal_mode == 1:
                            image_deal_mode = 1
                        # print(goods_art_no, image_index, image_deal_mode)

                if file_mirror_mark:
                    image_deal_mode = 1

                """进行800image 生成"""
                generate_pic = GeneratePic()
                if settings.OUT_PIC_MODE == ".jpg":
                    out_path = "{}/800x800/{}{}".format(goods_art_no_folder_path, file_name, ".jpg")
                elif settings.OUT_PIC_MODE == ".png":
                    out_path = "{}/800x800/{}{}".format(goods_art_no_folder_path, file_name, ".png")
                else:
                    out_path = "{}/800x800/{}{}".format(goods_art_no_folder_path, file_name, settings.OUT_PIC_MODE)

                out_process_path_1 = "{}/阴影图处理/{}_{}_阴影{}".format(goods_art_no_folder_path, file_name,
                                                                  _name_list[i_n - 1], ".png")
                out_process_path_2 = "{}/阴影图处理/{}_{}_抠图{}".format(goods_art_no_folder_path, file_name,
                                                                  _name_list[i_n - 1], ".png")

                print("image_index", image_index)
                image_index = 99
                curve_mask = True if "俯视" in image_order["image_view"] else False
                if generate_pic.run(image_path=original_image_path,
                                    cut_image_path=original_move_bg_image_path,
                                    out_path=out_path,
                                    image_deal_mode=is_image_deal_mode,
                                    image_index=image_index,
                                    out_pic_size=settings.OUT_PIC_SIZE,
                                    is_logo=True if i_n == 1 else False,
                                    out_process_path_1=out_process_path_1,
                                    out_process_path_2=out_process_path_2,
                                    max_box=max_box,
                                    logo_path=logo_path,
                                    curve_mask=curve_mask
                                    ):
                    # self.show_progress_detail("货号图{} _{} 已完成800*800图片制作~".format(image_index, file_name))
                    callback_func("货号图{} _{} 已完成800*800图片制作~".format(image_index, file_name))
                else:
                    # self.show_progress_detail("货号图{} _{}  图片生成处理失败~".format(image_index, file_name))
                    callback_func("货号图{} _{}  图片生成处理失败~".format(image_index, file_name))

                # 完成处理的图片进度
                self.lock.acquire()
                # self.set_progress()
                self.lock.release()

    def get_goods_art_no(self, date_time_original):
        time_array = time.strptime(date_time_original, "%Y:%m:%d %H:%M:%S")

        time_array = time.mktime(time_array)
        datetime_obj = datetime.fromtimestamp(time_array)

        session = SqlQuery()
        configModel = CRUD(DeviceConfig)
        result = configModel.read(
            session, conditions={"photo_create_time": datetime_obj}, order_by="id", ascending=True
        )
        if result:
            return result.goods_art_no, result.image_index, result.image_deal_mode
        else:
            return None

    def get_goods_art_no_info(self, numbers_list=None, goods_art_list=None, headers=None):
        # 获取商品基础信息，入参为商品的编号
        url = "{domain}/api/backend/goods_client/goods_query".format(
            domain=settings.APP_HOST
        )
        data = {
            'goods_art_list': goods_art_list
        }
        data = json.dumps(data)
        _s = requests.session().post(url=url, data=data, headers=headers)
        response_data = _s.json()

        goods_number_data = {}
        # ["", "", "", "", "", "", "", "", "", "", "", ]
        if "data" not in response_data:
            return {}

        for data in response_data["data"]:
            goods_number_data[data["goods_art_no"]] = {}
            goods_number_data[data["goods_art_no"]]["商品货号"] = data["goods_art_no"].upper()
            goods_number_data[data["goods_art_no"]]["款号"] = data["goods_number"].upper()
            goods_number_data[data["goods_art_no"]]["商品面料"] = data["fabric"]
            goods_number_data[data["goods_art_no"]]["商品内里"] = data["lining"]
            goods_number_data[data["goods_art_no"]]["商品鞋底"] = data["sole"]
            goods_number_data[data["goods_art_no"]]["鞋垫"] = data["insole"]
            goods_number_data[data["goods_art_no"]]["颜色名称"] = data["color"]

        return goods_number_data

    def get_data_from_hqt_with_goods_art_no(self, goods_art_no_list):
        _goods_art_no_list = copy.deepcopy(goods_art_no_list)
        _list = []
        # 单次请求数少于20个
        goods_art_no_dict = {}

        while _goods_art_no_list:
            goods_art_no = _goods_art_no_list.pop()

            _list.append(goods_art_no)
            if len(_list) == 20 or len(_goods_art_no_list) == 0:
                online_goods_art_data = self.get_goods_art_no_info(
                    goods_art_list=_list
                )
                if online_goods_art_data:
                    for _goods_art_no in online_goods_art_data:
                        goods_art_no_dict[_goods_art_no] = online_goods_art_data[
                            _goods_art_no
                        ]
                _list = []
        return goods_art_no_dict

    def get_goods_art_no_info(self, numbers_list=None, goods_art_list=None, headers=None):
        # 获取商品基础信息，入参为商品的编号
        url = "{domain}/api/backend/goods_client/goods_query".format(
            domain=settings.APP_HOST
        )
        data = {
            'goods_art_list': goods_art_list
        }

        data = json.dumps(data)

        _s = requests.session().post(url=url, data=data, headers=headers)
        # _s = self.s.get(url=url, params=params, headers=settings.Headers)
        response_data = _s.json()

        goods_number_data = {}
        # ["", "", "", "", "", "", "", "", "", "", "", ]
        if "data" not in response_data:
            return {}

        for data in response_data["data"]:
            goods_number_data[data["goods_art_no"]] = {}
            goods_number_data[data["goods_art_no"]]["商品货号"] = data["goods_art_no"].upper()
            goods_number_data[data["goods_art_no"]]["款号"] = data["goods_number"].upper()
            goods_number_data[data["goods_art_no"]]["商品面料"] = data["fabric"]
            goods_number_data[data["goods_art_no"]]["商品内里"] = data["lining"]
            goods_number_data[data["goods_art_no"]]["商品鞋底"] = data["sole"]
            goods_number_data[data["goods_art_no"]]["鞋垫"] = data["insole"]
            goods_number_data[data["goods_art_no"]]["颜色名称"] = data["color"]

        return goods_number_data

    def get_data_from_hqt(self, goods_number_list):
        _goods_number_list = copy.deepcopy(goods_number_list)
        _list = []
        # 单次请求数少于20个
        goods_number_dict = {}

        while _goods_number_list:
            goods_art_no = _goods_number_list.pop()
            if "NUM" in goods_art_no:
                goods_art_no = goods_art_no.replace("NUM", "")

            _list.append(goods_art_no)
            if len(_list) == 20 or len(_goods_number_list) == 0:
                online_goods_art_data = self.get_goods_art_no_info(
                    numbers_list=_list
                )
                if online_goods_art_data:
                    for number in online_goods_art_data:
                        goods_number_dict["NUM" + number] = online_goods_art_data[
                            number
                        ]
                _list = []
        return goods_number_dict

    def dealMoveImage(self, image_dir: str, callback_func=None) -> dict:
        if not self.check_path(image_dir=image_dir + "/历史"):
            return {'code': 1, 'msg': '文件夹创建失败', 'data': {}}

        # 遍历目标文件夹，获取有拍摄信息的图片，并按拍摄时间排序
        files = self.list_dir(image_dir)
        original_photo_list = []  # 原始图片列表
        for file in files:
            # -----图片清洗
            file_path = image_dir + "/" + file
            if os.path.isdir(file_path):  # 忽略文件夹
                continue
            file_name, suffix = os.path.splitext(file)
            if suffix not in _Type:  # 非图片进行移除
                shutil.move(file_path, image_dir + "/历史/" + file)
                continue

            date_time_original = self.get_date_time_original(file_path)  # 获取照片拍照时间
            if date_time_original:
                # 基于照片的时间，与数据库匹配goods_art_no
                _data = self.get_goods_art_no(date_time_original)
                if _data:
                    # 能匹配上数据库
                    goods_art_no, image_index, image_deal_mode = _data
                    print("832 与数据库匹配goods_art_no", file_name, date_time_original, goods_art_no)
                    original_photo_list.append({"file_path": file_path,
                                                "file": file,
                                                "date_time_original": date_time_original,
                                                "goods_art_no": goods_art_no,
                                                "image_index": image_index,
                                                "real_goods_art_no": "",
                                                "real_goods_number": "",
                                                })
                else:
                    # 匹配不上报错
                    # self.show_progress_detail("图片：{} 无法对应货号，不做处理".format(file))
                    if callback_func:
                        callback_func("图片：{} 无对应货号".format(file))
                    # shutil.move(photo_dict["file_path"], self.image_dir + "/历史/" + photo_dict["file"])
                    continue
            else:
                shutil.move(file_path, image_dir + "/历史/" + file)

        if not original_photo_list:
            return {"code": 1, "msg": "没有任何匹配的图片", 'data': {}}

        if settings.PROJECT == "红蜻蜓":
            # 批量请求货号图信息
            goods_art_no_list = [x["goods_art_no"] for x in original_photo_list]
            goods_art_no_list = list(set(goods_art_no_list))
            goods_art_no_list = [x for x in goods_art_no_list if "NUM" not in x]

            if goods_art_no_list:
                goods_art_no_dict = self.get_data_from_hqt_with_goods_art_no(
                    goods_art_no_list=goods_art_no_list)

                for i in original_photo_list:
                    if i["goods_art_no"] in goods_art_no_dict:
                        i["real_goods_art_no"] = i["goods_art_no"]
                        i["real_goods_number"] = "NUM{}".format(goods_art_no_dict[i["goods_art_no"]]["编号"])

            # 批量请求编号对应信息
            goods_number_list = [x["goods_art_no"] for x in original_photo_list]
            goods_number_list = list(set(goods_number_list))
            goods_number_list = [x for x in goods_number_list if "NUM" in x]

            if goods_number_list:
                goods_number_dict = self.get_data_from_hqt(goods_number_list=goods_number_list)
                for i in original_photo_list:
                    if i["goods_art_no"] in goods_number_dict:
                        i["real_goods_number"] = i["goods_art_no"]
                        i["real_goods_art_no"] = goods_number_dict[i["goods_art_no"]]["商品货号"]

        # 排序需要基于拍照的文件序号进行处理
        original_photo_list.sort(
            key=lambda x: "{}-{}-{}".format(x["goods_art_no"], x["image_index"], x["file"]))

        # print(original_photo_list)
        # 对有拍摄信息的图片进行数据库比对，如有比对上，则移动至货号文件夹，否则移入历史文件夹
        total_num = len(original_photo_list)
        # 当天日期作为文件夹
        seconds = time.time()
        output_path = "output/{f_name}".format(f_name=time.strftime("%Y-%m-%d", time.localtime(seconds)))

        # 遍历每个匹配好的数据进行处理
        n = 0
        for photo_dict in original_photo_list:
            n += 1
            # 进度条
            goods_art_no = photo_dict["goods_art_no"]
            original_image_path = photo_dict["file_path"]
            # 输出货号文件夹
            if photo_dict["real_goods_art_no"]:
                goods_art_no = "{}@{}".format(photo_dict["real_goods_art_no"], photo_dict["real_goods_number"])

            goods_art_no_path = "{output_path}/{goods_art_no}".format(output_path=output_path,
                                                                      goods_art_no=goods_art_no)

            # 创建货号下的一系列文件夹
            self.create_folder(goods_art_no_path)

            # 重命名并进行移动
            print("开始移动：{}  {} 命名为：{}".format(goods_art_no, original_image_path, goods_art_no_path))
            self.move_images(goods_art_no, goods_art_no_path, original_image_path)  # 货号、货号文件路径、原始图路径
            time.sleep(0.2)

            # self.progress_sign.emit({"type": "移动原始图片", "progress_bar_value": int(n / total_num * 100)})
            # self.show_progress_detail("货号{} 相关文件夹创建完成,已移动原图~".format(goods_art_no))
            if callback_func:
                callback_func("货号{} 相关文件夹创建完成,已移动原图~".format(goods_art_no))

            print("已完成移动处理")

        if n != 0:
            # if settings.MattingPics:
            #     # 检查所有未处理的货号文件夹，查看是否有完成图片加工处理
            #     self.deal_images()

            # 自动生成一个货号表
            print("output_path", output_path)
            GenerateGoodsArtNoTable.deal(output_path)

        # 完成处理
        # self.set_state(state_value=2)
        return {'code': 0, 'msg': '处理完成', 'target_path': output_path, 'data': {}}

    def check_path(self, image_dir: str):
        if not os.path.exists(image_dir):
            os.mkdir(image_dir)
        return True

    def get_date_time_original(self, file_path):
        with open(file_path, 'rb') as file_data:
            tags = exifread.process_file(file_data)
            if "EXIF DateTimeOriginal" in tags:
                return str(tags["EXIF DateTimeOriginal"])
            else:
                return False

    def create_folder(self, path):
        def check_folder(__path):
            if not os.path.exists(__path):
                os.makedirs(__path)
                return False
            return True

        # 文件夹不存在，创建货号子集文件夹
        if not check_folder(path):
            for name in ["原始图", "原始图_已抠图", "800x800", "200images"]:
                other_path = path + "/" + name
                check_folder(other_path)

    def move_images(self, goods_art_no, goods_art_no_path, old_image_path):
        """
        步骤：
        1、移动到原始图
        Args:
            goods_art_no:
            goods_art_no_path:
            old_image_path:

        Returns:

        """
        # 移动到原始图
        file = os.path.split(old_image_path)[1]
        # 扩展名
        e = os.path.splitext(file)[1]
        # 获取图片序列
        self.goods_images_count_dict[goods_art_no] += 1
        # A9999（1）.jpg
        new_file_name = "{}（{}）".format(goods_art_no, self.goods_images_count_dict[goods_art_no])
        original_image_path = "{}/原始图/{}{}".format(goods_art_no_path, new_file_name, e)
        # 移动图片
        shutil.move(old_image_path, original_image_path)

    def pixianRemoveImageBg(self, file_path: str, out_file_path: str, callbackek_func=None):
        url = self.dataModeMatchPhoto.get_online_data.uploadImage(local_path=file_path)

        remonveUrl = settings.DOMAIN + '/api/ai_image/main/remove_background'
        param = {'base_image': url}
        post_headers = {"Authorization": self.token,
                        "Content-Length": "",
                        "Content-Type": "application/json",
                        "Accept": "application/json"}

        result = requests.post(remonveUrl, data=json.dumps(param), headers=post_headers).json()
        print(result)
        if "code" in result and result['code'] == 0:
            response = requests.get(result['data']['image'][0])
            with open(out_file_path, 'wb') as file:
                file.write(response.content)
                return result['data']['image'][0]
        else:
            callbackek_func("精细化抠图处理失败 {}".format(result['message']))
            return ''

    def list_dir(self, path):
        listdir = os.listdir(path)
        return natsorted(listdir, alg=ns.PATH)