CameraMachine/python/service/deal_image.py

import os,re

from  natsort import natsorted,ns
import shutil
import exifread
import time
import datetime
from databases import PhotoRecord,SqlQuery,CRUD
import settings
import copy
import json
import requests
from service.pic_deal import Picture
import xlsxwriter
from PIL import Image
from .base_deal import BaseDealImage
from middleware import UnicornException
_Type = ['.png', '.PNG', '.jpg', '.JPG', '.gif', '.GIF', ".jpge", ".JPGE"]


class DealImage(BaseDealImage):

    def __init__(self, image_dir=None):
        super().__init__()
        self.image_dir = image_dir
        self.header = None
    def check_path(self, image_dir: str):
        if not os.path.exists(image_dir):
            os.mkdir(image_dir)
        return True
    def list_dir(self, path):
        listdir = os.listdir(path)
        sort_result = sorted(listdir, key=lambda x: int(re.findall(r'^(\d+)_', x)[0]) if re.findall(r'^(\d+)_', x) else 0)
        print("listdir   排序排序排序排序排序排序", sort_result)
        # return natsorted(listdir, alg=ns.PATH)
        return sort_result
    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 get_goods_art_no(self, goods_art_no):
        # time_array = time.strptime(date_time_original, "%Y:%m:%d %H:%M:%S")

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

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

    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):
        # 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.DOMAIN
        )
        data = {
            'goods_art_list': goods_art_list
        }
        data = json.dumps(data)
        _s = requests.session().post(url=url, data=data, headers=self.header)
        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 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]
        print("self.goods_images_count_dict", self.goods_images_count_dict)
        # 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)
        try:
            shutil.move(old_image_path, original_image_path)
        except Exception as e:
            print(f"文件操作异常:{e}")

    def dealMoveImage(self, image_dir: str, callback_func=None,goods_art_no=None) -> dict:
        if not self.check_path(image_dir=image_dir + "/历史"):
            raise UnicornException("文件夹创建失败")

        # 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_idx,file in enumerate(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(goods_art_no)
                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_path,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": file_idx,
                                                "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:
            raise UnicornException("没有任何匹配的图片")
            return False, "没有任何匹配的图片"
        # 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
        print(f"original_photo_list:",original_photo_list)
        n = 0
        for photo_dict in original_photo_list:
            n += 1
            print("处理dict:",photo_dict)
            # 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)
            self.deal(output_path)

        # 完成处理
        # self.set_state(state_value=2)
        return True, output_path

    def deal(cls, dir_path):

        # print("dir_path", dir_path)
        out_excel_data = []
        for goods_art_no_folder in os.listdir(dir_path):  # 遍历货号文件夹集合
            if not os.path.isdir(
                    "{}/{}".format(dir_path, goods_art_no_folder)
            ):  # 非文件夹进行过滤
                continue
            if "软件" in goods_art_no_folder:
                continue

            # print("goods_art_no_folder", goods_art_no_folder)
            # 如果存在800的主图，则优先进行使用
            big_image_folder_path = "{}/{}/800x800".format(
                dir_path, goods_art_no_folder
            )
            if not os.path.exists(big_image_folder_path):
                os.mkdir(big_image_folder_path)
            all_big_images = os.listdir(big_image_folder_path)
            goods_pic_total = len(all_big_images)
            _Type = [".png", ".PNG", ".jpg", ".JPG", ".gif", ".GIF", ".jpge", ".JPGE"]
            thumb_image_file_path = None
            # print("all_big_images",all_big_images)
            if all_big_images:
                for _file in all_big_images:
                    # print(_file)
                    file_name, e = os.path.splitext(_file)
                    # print(file_name, e)
                    if e in _Type:
                        thumb_image_file_path = "{}/{}/800x800/{}".format(
                            dir_path, goods_art_no_folder, _file
                        )
                        break

            # 如果不存在主图则进行使用原始图
            if thumb_image_file_path is None:
                _path = "{}/{}/原始图".format(dir_path, goods_art_no_folder)
                if not os.path.exists(_path):
                    continue

                all_original_images = os.listdir(_path)  # 遍历货号原始图文件夹
                goods_pic_total = len(all_original_images)
                if not all_original_images:
                    continue
                image_file = all_original_images[0]  # 取第一个货号图
                image_file_path = "{}/{}/原始图/{}".format(
                    dir_path, goods_art_no_folder, image_file
                )

                if not os.path.exists(
                        "{}/{}/200images".format(dir_path, goods_art_no_folder)
                ):
                    os.mkdir("{}/{}/200images".format(dir_path, goods_art_no_folder))

                thumb_image_file_path = "{}/{}/200images/{}".format(
                    dir_path, goods_art_no_folder, image_file
                )
                if not os.path.exists(thumb_image_file_path):
                    # 开始触发进行压缩生成文件
                    shutil.copy(image_file_path, thumb_image_file_path)  # 复制文件
                    pic = Picture(thumb_image_file_path)
                    pic.resize(width=600)
                    pic.save_img(thumb_image_file_path)
            # print("thumb_image_file_path", thumb_image_file_path)

            goods_number = ""
            if "@" in goods_art_no_folder:
                _ = goods_art_no_folder.split("@")
                goods_art_no_folder = _[0]
                goods_number = _[1].replace("NUM", "")

            out_excel_data.append(
                [
                    goods_number,
                    goods_art_no_folder,
                    thumb_image_file_path,
                    goods_pic_total,
                ]
            )

        if out_excel_data:
            out_excel_path = "{}/货号表-{}.xlsx".format(dir_path, time.time())
            options = {
                "default_format_properties": {
                    "align": "left",
                    "valign": "vcenter",
                    "text_wrap": True,
                }
            }
            book = xlsxwriter.Workbook(filename=out_excel_path, options=options)
            sheet = book.add_worksheet("sheet1")
            # sheet.freeze_panes(1, 2)
            sheet.set_column("B:B", 17)
            sheet.set_column("D:D", 20)

            sheet.write_row("A1", ["编号", "原货号", "新货号", "缩略图", "原始图张数"])
            for index, data in enumerate(out_excel_data):
                # print(data)
                goods_number, goods_art_no, image_file, goods_pic_total = data
                try:
                    im = Image.open(image_file)
                    im_x, im_y = im.size
                    image_width = 100
                    image_height = int(im_y * image_width / im_x)
                    sheet.set_row(index + 1, 95)
                    x_scale = round(
                        image_width / im_x, 2
                    )  # 固定宽度/要插入的原始图片宽
                    y_scale = round(
                        image_height / im_y, 2
                    )  # 固定高度/要插入的原始图片高
                    sheet.insert_image(
                        index + 1,
                        3,
                        image_file,
                        {
                            "x_scale": x_scale,
                            "y_scale": y_scale,
                            "x_offset": 5,
                            "y_offset": 5,
                            "object_position":1,
                        },
                        )

                except:
                    pass
                sheet.write_row("A{}".format(index + 2), [goods_number])
                sheet.write_row("B{}".format(index + 2), [goods_art_no])
                sheet.write_row("E{}".format(index + 2), [goods_pic_total])