base_deal.py 55 KB

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  1. import json
  2. from .module_generate_goods_art_no_table import GenerateGoodsArtNoTable
  3. from func_timeout import FunctionTimedOut
  4. from .grenerate_main_image_test import GeneratePic
  5. from threading import Lock
  6. import settings
  7. from collections import defaultdict
  8. from .remove_bg_ali import RemoveBgALi, Picture
  9. from .deal_cutout import DealCutout
  10. # from data import DataModeAutoDealPics
  11. import time
  12. from .image_pic_deal import OnePicDeal
  13. from natsort import natsorted,ns
  14. import os
  15. import shutil
  16. import exifread
  17. import datetime
  18. from databases import DeviceConfig,SqlQuery,CRUD
  19. from model.photo_record import PhotoRecord
  20. import requests
  21. import copy
  22. """
  23. 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
  24. """
  25. _Type = ['.png', '.PNG', '.jpg', '.JPG', '.gif', '.GIF', ".jpge", ".JPGE"]
  26. class BaseDealImage(object):
  27. def __init__(self, image_dir=None,token=None):
  28. self.token = token
  29. self.goods_images_count_dict = defaultdict(int)
  30. # 数据模型
  31. # self.data_mode_auto_deal_pics = DataModeAutoDealPics()
  32. self.image_dir = image_dir
  33. pass
  34. def run_main(self, all_goods_art_no_folder_data, callback_func=None, cutout_mode=None,
  35. resize_image_view=None, windows=None, logo_path=None, image_order_list=None):
  36. # 对所有缺失已抠图的进行抠图处理
  37. self.run_cutout_image(all_goods_art_no_folder_data=all_goods_art_no_folder_data,
  38. callback_func=callback_func,
  39. cutout_mode=cutout_mode,
  40. windows=windows,
  41. )
  42. error_num = 0
  43. successful_num = 0
  44. for goods_art_no_folder_data in all_goods_art_no_folder_data:
  45. if goods_art_no_folder_data["label"] != "待处理":
  46. continue
  47. if windows:
  48. if windows.state != 1:
  49. break
  50. folder_name = goods_art_no_folder_data["folder_name"]
  51. callback_func("开始处理文件夹========== {} ".format(folder_name))
  52. if settings.IS_TEST:
  53. flag = self.shoes_run_one_folder_to_deal(goods_art_no_folder_data=goods_art_no_folder_data,
  54. resize_image_view=resize_image_view,
  55. logo_path=logo_path,
  56. image_order_list=image_order_list,
  57. callback_func=callback_func,
  58. windows=windows,
  59. )
  60. if flag is None:
  61. callback_func("货号:{} 数据异常".format(folder_name))
  62. else:
  63. if flag:
  64. successful_num += 1
  65. callback_func("货号:{} 图片生成处理成功".format(folder_name))
  66. else:
  67. error_num += 1
  68. callback_func("货号:{} 图片生成处理失败".format(folder_name))
  69. else:
  70. try:
  71. flag = self.shoes_run_one_folder_to_deal(goods_art_no_folder_data=goods_art_no_folder_data,
  72. resize_image_view=resize_image_view,
  73. logo_path=logo_path,
  74. image_order_list=image_order_list,
  75. callback_func=callback_func,
  76. windows=windows,
  77. )
  78. if flag is None:
  79. callback_func("货号:{} 数据异常".format(folder_name))
  80. else:
  81. if flag:
  82. successful_num += 1
  83. callback_func("货号:{} 图片生成处理成功".format(folder_name))
  84. else:
  85. error_num += 1
  86. callback_func("货号:{} 图片生成处理失败".format(folder_name))
  87. except BaseException as e:
  88. error_num += 1
  89. callback_func("货号:{} 图片生成处理异常,原因:{}".format(folder_name, e))
  90. callback_func("处理成功:{}个,失败:{}".format(successful_num, error_num))
  91. def checkImageAmount(self, image_dir: str, amount: int, todo_goods_art_no_folder_name_list=None) -> dict:
  92. result = {'code': 0, 'msg': '', 'data': {}}
  93. for goods_art_no_folder in self.list_dir(image_dir):
  94. # 指定内容检查
  95. if todo_goods_art_no_folder_name_list is not None:
  96. if goods_art_no_folder not in todo_goods_art_no_folder_name_list:
  97. continue
  98. if not os.path.isdir("{}/{}".format(image_dir, goods_art_no_folder)):
  99. continue
  100. if "软件" in goods_art_no_folder:
  101. continue
  102. if "无法" in goods_art_no_folder:
  103. continue
  104. if "原始图" not in self.list_dir("{}/{}".format(image_dir, goods_art_no_folder)):
  105. result['data'][goods_art_no_folder] = '文件夹下,没有 原始图 文件夹\n'
  106. continue
  107. # 计算单个文件夹原图数量
  108. images = [x for x in self.list_dir("{}/{}/原始图".format(image_dir, goods_art_no_folder))]
  109. image_num = 0
  110. for pic_file_name in images:
  111. _, e = os.path.splitext(pic_file_name)
  112. if e in _Type:
  113. image_num += 1
  114. # if self.number_pictures != 0:
  115. if image_num > amount:
  116. result['data'][goods_art_no_folder] = '货号图片大于{}张~\n'.format(amount)
  117. if image_num < 2:
  118. result['data'][goods_art_no_folder] = '货号图片小于于2张~\n'
  119. if result['data']:
  120. result['code'] = 1
  121. return result
  122. def check_folders_image_amount(self, all_goods_art_no_folder_data, image_order_list):
  123. print("*****************check_folders_image_amount************************")
  124. amount = len(image_order_list)
  125. # print("图片数量检查===>", amount)
  126. message = ""
  127. for goods_art_no_folder_data in all_goods_art_no_folder_data:
  128. if goods_art_no_folder_data["label"] != "待处理":
  129. continue
  130. folder_path = goods_art_no_folder_data["folder_path"]
  131. folder_name = goods_art_no_folder_data["folder_name"]
  132. images = [x for x in self.list_dir("{}/原始图".format(folder_path))]
  133. image_num = 0
  134. for pic_file_name in images:
  135. _, e = os.path.splitext(pic_file_name)
  136. if e in _Type:
  137. image_num += 1
  138. # print("图片数量判断===>", image_num)
  139. # if image_num > amount:
  140. # goods_art_no_folder_data["label"] = "错误"
  141. # message += '货号{}:图片大于{}张~\n'.format(folder_name, amount)
  142. # if image_num < 2:
  143. # message += '货号{}:图片小于于2张~\n'.format(folder_name)
  144. return all_goods_art_no_folder_data, message
  145. def check_one_folder_image_amount(self, folder_data, amount: int):
  146. print("*****************check_one_folder_image_amount************************")
  147. # 计算单个文件夹原图数量
  148. images = [x for x in self.list_dir("{}/原始图".format(folder_data["folder_path"]))]
  149. image_num = 0
  150. for pic_file_name in images:
  151. _, e = os.path.splitext(pic_file_name)
  152. if e in _Type:
  153. image_num += 1
  154. if image_num > amount:
  155. return False, '货号{}:图片大于{}张~\n'.format(folder_data["folder_name"], amount)
  156. if image_num < 2:
  157. return False, '货号{}:图片小于于2张~\n'.format(folder_data["folder_name"])
  158. return True, ""
  159. # 指定的图片顺序
  160. def getImageOrder(self, image_order: str, resize_image_view: str):
  161. imageOrderList = image_order.replace(",", ",").replace(' ', '').replace('图', '').split(",")
  162. if len(set(imageOrderList)) != len(imageOrderList):
  163. return {'code': 1, 'msg': '图片位置与顺序重复,请检查您的输入'}
  164. for val in imageOrderList:
  165. 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"]:
  166. 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'}
  167. if resize_image_view not in imageOrderList:
  168. return {'code': 1, 'msg': '缩小的步骤必须是你填写的图片顺序中'}
  169. return {'code': 0, 'msg': 'sucess', 'imageOrderList': imageOrderList}
  170. def shoes_run_one_folder_to_deal(self,
  171. goods_art_no_folder_data,
  172. image_order_list: list,
  173. resize_image_view: str,
  174. logo_path="",
  175. windows=None,
  176. callback_func=None):
  177. """
  178. 操作步骤:
  179. 1、查询每个图片的角度
  180. 2、
  181. """
  182. is_successful = True
  183. folder_path = goods_art_no_folder_data["folder_path"]
  184. folder_name = goods_art_no_folder_data["folder_name"]
  185. all_original_images = self.get_images("{}/原始图".format(folder_path))
  186. self.check_path('{}/800x800'.format(folder_path))
  187. self.crate_all_folders(folder_path)
  188. if not all_original_images:
  189. return None
  190. # _ = ["俯视", "侧视", "后跟", "鞋底", "内里"]
  191. for index, image_dict in enumerate(all_original_images):
  192. if index < len(image_order_list):
  193. image_dict["image_view"] = image_order_list[index]
  194. else:
  195. image_dict["image_view"] = '其他{}'.format(len(image_order_list) - index + 1)
  196. # ====================处理所有图片的顺序====================
  197. # ["俯视", "侧视", "后跟", "鞋底", "内里"]
  198. _config = {"俯视": 1,
  199. "侧视": 2,
  200. "后跟": 3,
  201. "鞋底": 4,
  202. "内里": 5, }
  203. r = time.time()
  204. n = 0
  205. _index = 0
  206. # 检查是否有重复的角度
  207. _d_views = []
  208. f = True
  209. for image_dict in all_original_images:
  210. n += 1
  211. _index += 1
  212. image_dict["old_file_name"] = image_dict["file_name"]
  213. image_dict["random_name"] = "{}-{}".format(r, n)
  214. if image_dict["image_view"] in _config:
  215. if image_dict["image_view"] not in _d_views:
  216. _d_views.append(image_dict["image_view"])
  217. else:
  218. callback_func("货号:{} 处理失败".format(folder_name))
  219. # self.show_progress_detail("货号图{} 存在多个{} 角度~".format(goods_art_no_folder, image_dict["image_view"]))
  220. return None
  221. image_dict["index"] = _config[image_dict["image_view"]]
  222. else:
  223. image_dict["index"] = _index
  224. all_original_images.sort(key=lambda x: x["index"])
  225. # ==========直接进行处理=============
  226. i_n = 0
  227. image_index = 0 # 图片顺序
  228. is_image_deal_mode = 0
  229. # 删除目录再新建
  230. if os.path.exists('{}/阴影图处理'.format(folder_path)):
  231. shutil.rmtree('{}/阴影图处理'.format(folder_path))
  232. self.crate_all_folders(folder_path)
  233. print(
  234. "***************all_original_images*********************",
  235. all_original_images,
  236. )
  237. for image_dict in all_original_images:
  238. if windows:
  239. if windows.state != 1:
  240. return None
  241. i_n += 1
  242. image_index += 1
  243. original_image_path = "{}/原始图/{}{}".format(folder_path, image_dict["file_name"], image_dict["e"])
  244. file_name = image_dict["file_name"]
  245. print("正在处理,货号:{}".format(folder_path))
  246. # self.show_progress_detail("正在处理,货号:{}".format(file_name))
  247. # 该文件在800images下没有时,则进行生成新的抠图
  248. # 检查是否存在已抠图文件,如没有再去抠图
  249. original_move_bg_image_path = "{}/原始图_已抠图/{}{}".format(folder_path, image_dict["file_name"], ".png")
  250. print(
  251. f"*****************此处判断鞋子是否为左右脚====>{image_index}<======={is_image_deal_mode}=======>**********************"
  252. )
  253. # 此处判断鞋子是否为左右脚
  254. if image_index == 1:
  255. is_image_deal_mode = 0
  256. print("开始识别左右脚=========>")
  257. if OnePicDeal(self.token).check_shoe_is_right(
  258. image_path=original_move_bg_image_path
  259. ):
  260. is_image_deal_mode = 1 # 1表示要镜像,0表示不做镜像
  261. print(
  262. "*************************进行800image 生成********************************************"
  263. )
  264. """进行800image 生成"""
  265. generate_pic = GeneratePic()
  266. print(
  267. "*************************进行800image 结束====>>>>********************************************"
  268. )
  269. if settings.OUT_PIC_MODE == ".jpg":
  270. out_path = "{}/800x800/{}{}".format(folder_path, file_name, ".jpg")
  271. else:
  272. out_path = "{}/800x800/{}{}".format(folder_path, file_name, ".png")
  273. out_process_path_1 = "{}/阴影图处理/{}_{}_阴影{}".format(folder_path, file_name,
  274. image_dict["image_view"], ".png")
  275. out_process_path_2 = "{}/阴影图处理/{}_{}_抠图{}".format(folder_path, file_name,
  276. image_dict["image_view"], ".png")
  277. resize_mode = 1
  278. max_box = None
  279. print("------------1", image_dict["image_view"], resize_image_view)
  280. if image_dict["image_view"] == resize_image_view:
  281. print(image_dict["image_view"], resize_image_view)
  282. resize_mode = 2
  283. if settings.Mode == "皮具":
  284. max_box = (1000, 1200)
  285. if resize_mode == 2:
  286. print(
  287. "参数打印================》",
  288. is_image_deal_mode,
  289. resize_mode,
  290. settings.OUT_PIC_SIZE,
  291. True if i_n == 1 else False,
  292. max_box
  293. )
  294. print("**********123456********************")
  295. if not generate_pic.run(image_path=original_image_path,
  296. cut_image_path=original_move_bg_image_path,
  297. out_path=out_path,
  298. image_deal_mode=is_image_deal_mode,
  299. resize_mode=resize_mode,
  300. out_pic_size=settings.OUT_PIC_SIZE,
  301. is_logo=True if i_n == 1 else False,
  302. out_process_path_1=out_process_path_1,
  303. out_process_path_2=out_process_path_2,
  304. max_box=max_box,
  305. logo_path=logo_path,
  306. ):
  307. print("**********222222222222222222222222222********************")
  308. is_successful = False
  309. if is_successful:
  310. return True
  311. else:
  312. return False
  313. def to_upload_pic(self, file_path, is_resize=True):
  314. file_name = os.path.split(file_path)[1]
  315. e = os.path.splitext(file_name)[1][1:]
  316. im = Picture(file_path)
  317. if im.x > 500:
  318. im.resize(width=500)
  319. _ = {"jpg": "JPEG",
  320. "JPG": "JPEG",
  321. "JPEG": "JPEG",
  322. "jpeg": "JPEG",
  323. "png": "PNG",
  324. "PNG": "PNG", }
  325. e = _[e]
  326. image_io = im.save_to_io(e)
  327. goods_data = {"file_path": os.path.split(file_path)[1],
  328. "image_io": image_io,
  329. "e": e
  330. }
  331. url = self.data_mode_image_cut.get_online_data.upload_pic(goods_data=goods_data)
  332. return url
  333. def get_images(self, path):
  334. image_list = [] # 过滤非图片数据
  335. for _file in self.list_dir(path):
  336. file_name, e = os.path.splitext(_file)
  337. if e in _Type:
  338. image_list.append({"file_path": "{}/{}".format(path, _file),
  339. "file_name": file_name,
  340. "e": e})
  341. return image_list
  342. def crate_all_folders(self, root_path):
  343. path_list = ["800x800", "原始图_已抠图", "阴影图处理"]
  344. for i in path_list:
  345. path = "{}/{}".format(root_path, i)
  346. self.check_path(path)
  347. def run_cutout_image(self, all_goods_art_no_folder_data, callback_func=None, cutout_mode=1, windows=None):
  348. """
  349. 处理所有的抠图
  350. """
  351. callback_func('开始处理抠图~')
  352. error_goods_art_no_folder = []
  353. for goods_art_no_folder_data in all_goods_art_no_folder_data:
  354. if goods_art_no_folder_data["label"] != "待处理":
  355. continue
  356. folder_path = goods_art_no_folder_data["folder_path"]
  357. self.crate_all_folders(folder_path)
  358. # 检查是否存在已抠图文件,如没有再去抠图
  359. images = [x for x in self.list_dir("{}/原始图".format(folder_path))]
  360. cutImageList = []
  361. for pic_file_name in images:
  362. if windows:
  363. if windows.state != 1:
  364. break
  365. # 根据名称判断,没有抠图过的,进行统计
  366. file_name, suffix = os.path.splitext(pic_file_name)
  367. if suffix in _Type:
  368. original_image_path = "{}/原始图/{}".format(folder_path, pic_file_name)
  369. original_move_bg_image_path = "{}/原始图_已抠图/{}{}".format(folder_path, file_name, ".png")
  370. if not os.path.exists(original_move_bg_image_path):
  371. # 没有抠图文件,进行抠图生成
  372. callback_func("正在抠图 货号:{}".format(file_name))
  373. if cutout_mode == '2':
  374. cutImageList.append({
  375. "file_name": file_name, # 文件名
  376. "file_e": suffix, # 后缀,.jpg
  377. "file_path": original_image_path, # 完整路径
  378. "file": '{}{}'.format(file_name, suffix), # 图片文件名,带后缀
  379. "need_cutout": True, # 必须,需要抠图
  380. "out_path": original_move_bg_image_path
  381. })
  382. else:
  383. remove_pic_ins = RemoveBgALi()
  384. if settings.IS_TEST:
  385. im = remove_pic_ins.get_image_cut(file_path=original_image_path,
  386. out_file_path=original_move_bg_image_path)
  387. else:
  388. try:
  389. im = remove_pic_ins.get_image_cut(file_path=original_image_path,
  390. out_file_path=original_move_bg_image_path)
  391. except FunctionTimedOut as f:
  392. callback_func("货号图{} 抠图处理超时~".format(file_name))
  393. im = None
  394. except BaseException as e:
  395. callback_func("货号图{} 抠图处理失败,原因{}".format(file_name, e))
  396. im = None
  397. if not im:
  398. callback_func("货号图{} 抠图处理失败~".format(file_name))
  399. continue
  400. else:
  401. callback_func("货号图{} 抠图完成~".format(file_name))
  402. if cutout_mode == '2':
  403. dealCutout = DealCutout(windows=None)
  404. dealCutout.need_cutout_images = cutImageList
  405. dealCutout.run()
  406. while True:
  407. time.sleep(1)
  408. if windows:
  409. if windows.state != 1:
  410. break
  411. if dealCutout.state == 3:
  412. if len(dealCutout.resultData) != len(cutImageList):
  413. error_goods_art_no_folder.append(folder_path)
  414. break
  415. if error_goods_art_no_folder:
  416. print("以下货号抠图失败~\n {}".format(error_goods_art_no_folder))
  417. callback_func("以下货号抠图失败~\n {}".format(error_goods_art_no_folder))
  418. else:
  419. callback_func("完成抠图处理")
  420. def checkCutoutImage(self, image_dir: str, todo_goods_art_no_folder_name_list=None):
  421. """
  422. 进行图片检查,不合规的直接提示
  423. """
  424. error_goods_art_no_folder = []
  425. self.check_path("{}/软件-处理失败".format(image_dir))
  426. for goods_art_no_folder in self.list_dir(image_dir):
  427. # 指定内容检查
  428. if todo_goods_art_no_folder_name_list is not None:
  429. if goods_art_no_folder not in todo_goods_art_no_folder_name_list:
  430. continue
  431. if not os.path.isdir("{}/{}".format(image_dir, goods_art_no_folder)):
  432. continue
  433. if "软件" in goods_art_no_folder:
  434. continue
  435. if "无法" in goods_art_no_folder:
  436. continue
  437. if "原始图" not in self.list_dir("{}/{}".format(image_dir, goods_art_no_folder)):
  438. error_goods_art_no_folder.append(goods_art_no_folder)
  439. continue
  440. self.check_path("{}/{}/原始图_已抠图".format(image_dir, goods_art_no_folder))
  441. self.check_path("{}/{}/800x800".format(image_dir, goods_art_no_folder))
  442. self.check_path("{}/{}/阴影图处理".format(image_dir, goods_art_no_folder))
  443. if error_goods_art_no_folder:
  444. self.move_folders(path_list=["{}/{}".format(self.image_dir, x) for x in error_goods_art_no_folder],
  445. target_folder="{}/软件-处理失败".format(self.image_dir))
  446. return False
  447. def move_folders(self, path_list, target_folder):
  448. for source_folder in path_list:
  449. shutil.move(source_folder, target_folder)
  450. def rename_folder_for_hqt(self, all_goods_art_no_folder_data):
  451. """
  452. 步骤:
  453. 规整红蜻蜓的文件名
  454. 重新按文件名进行命名
  455. """
  456. goods_art_no_list = []
  457. for goods_art_no_folder_data in all_goods_art_no_folder_data:
  458. if "@" not in goods_art_no_folder_data["folder_name"]:
  459. goods_art_no_folder_data["label"] = "待处理"
  460. goods_art_no_list.append(goods_art_no_folder_data["folder_name"])
  461. else:
  462. goods_art_no_folder_data["label"] = "不处理"
  463. if goods_art_no_list:
  464. # goods_art_no_dict 文件夹与货号的字典
  465. goods_art_no_dict = self.get_data_from_hqt_with_goods_art_no(
  466. goods_art_no_list=goods_art_no_list)
  467. for goods_art_no_folder_data in all_goods_art_no_folder_data:
  468. if goods_art_no_folder_data["label"] != "待处理":
  469. continue
  470. goods_art_no_folder = goods_art_no_folder_data["folder_name"]
  471. if goods_art_no_folder in goods_art_no_dict:
  472. print(goods_art_no_folder)
  473. old_folder_path = goods_art_no_folder_data["folder_path"]
  474. new_folder_name = "{}@NUM{}".format(goods_art_no_folder,
  475. goods_art_no_dict[goods_art_no_folder]["编号"])
  476. new_folder_path = "{}/{}".format(goods_art_no_folder_data["root_path"], new_folder_name)
  477. try:
  478. os.rename(old_folder_path, new_folder_path)
  479. goods_art_no_folder_data["folder_path"] = new_folder_path
  480. goods_art_no_folder_data["folder_name"] = new_folder_path
  481. goods_art_no_folder_data["label"] = "待处理"
  482. except BaseException as e:
  483. goods_art_no_folder_data["label"] = "不处理"
  484. print("521 文件夹重名命失败:{}".format(e))
  485. # 重新规整修改图片名称
  486. for goods_art_no_folder_data in all_goods_art_no_folder_data:
  487. if goods_art_no_folder_data["label"] != "待处理":
  488. continue
  489. goods_art_no_folder = goods_art_no_folder_data["folder_name"]
  490. _img_all = self.list_dir("{}/原始图".format(goods_art_no_folder_data["folder_path"]))
  491. index = 0
  492. for _file in _img_all:
  493. file_name, suffix = os.path.splitext(_file)
  494. if suffix in _Type:
  495. index += 1
  496. folder_path = goods_art_no_folder_data["folder_path"]
  497. new_file_name = "{}({}){}".format(goods_art_no_folder, index, suffix)
  498. new_path = "{}/原始图/{}".format(folder_path, new_file_name)
  499. old_path = "{}/原始图/{}".format(folder_path, _file)
  500. crop_new_path = "{}/原始图_已抠图/{}".format(folder_path, "{}({}).png".format(goods_art_no_folder, index))
  501. crop_old_path = "{}/原始图_已抠图/{}".format(folder_path, "{}.png".format(file_name))
  502. if old_path != new_path:
  503. # 存在货号命名错误的,进行修正
  504. try:
  505. if os.path.exists(old_path):
  506. os.rename(old_path, new_path)
  507. if os.path.exists(crop_old_path):
  508. os.rename(crop_old_path, crop_new_path)
  509. except BaseException as e:
  510. goods_art_no_folder_data["label"] = "不处理"
  511. print("550 文件夹重名命失败:{}".format(e))
  512. def cutImagePiju(self, image_dir: str, image_order='', is_check_number=True, is_filter=True, resize_image_view='后跟',
  513. callback_func=None, event=None, todo_goods_art_no_folder_name_list=None):
  514. """
  515. 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
  516. 2、压缩并上传平台获取抠图
  517. 3、抠图处理成白底图
  518. 4、做成800*800/200*200
  519. :return:
  520. """
  521. logo_path = ""
  522. res = self.getImageOrder(image_order=image_order, resize_image_view=resize_image_view)
  523. if res['code'] != 0:
  524. callback_func(res['msg'])
  525. return {'code': 1, 'msg': res['msg']}
  526. imageOrderList = res['imageOrderList']
  527. """扫描文档,检查有哪些需要进行抠图等处理"""
  528. self.lock = Lock()
  529. to_do_images_total = 0
  530. error_goods_art_no_folder = []
  531. for goods_art_no_folder in self.list_dir(image_dir):
  532. # 指定内容检查
  533. if todo_goods_art_no_folder_name_list is not None:
  534. if goods_art_no_folder not in todo_goods_art_no_folder_name_list:
  535. continue
  536. if not os.path.isdir("{}/{}".format(image_dir, goods_art_no_folder)):
  537. continue
  538. self.check_path("{}/{}/原始图".format(image_dir, goods_art_no_folder))
  539. self.check_path("{}/{}/原始图_已抠图".format(image_dir, goods_art_no_folder))
  540. self.check_path("{}/{}/800x800".format(image_dir, goods_art_no_folder))
  541. self.check_path("{}/{}/阴影图处理".format(image_dir, goods_art_no_folder))
  542. # 遍历原始图片文件夹
  543. all_original_images = [x for x in
  544. self.list_dir(
  545. "{}/{}/原始图".format(image_dir, goods_art_no_folder))]
  546. # 检查已抠图文件夹
  547. all_moved_images = [os.path.splitext(x)[0] for x in
  548. self.list_dir(
  549. "{}/{}/原始图_已抠图".format(image_dir, goods_art_no_folder))]
  550. all_800images = [os.path.splitext(x)[0] for x in
  551. self.list_dir(
  552. "{}/{}/800x800".format(image_dir, goods_art_no_folder))]
  553. if is_check_number and len(imageOrderList) != len(all_original_images):
  554. 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))
  555. 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)}
  556. all_800images = []
  557. image_num = 0
  558. for pic_file_name in all_original_images:
  559. if pic_file_name not in all_800images:
  560. # 根据名称判断,没有抠图过的,进行统计
  561. _, e = os.path.splitext(pic_file_name)
  562. print(e)
  563. if e in _Type:
  564. image_num += 1
  565. print("----------》", goods_art_no_folder, pic_file_name)
  566. to_do_images_total += 1
  567. # if image_num > 5:
  568. # error_goods_art_no_folder.append(goods_art_no_folder)
  569. # if error_goods_art_no_folder:
  570. # self.show_progress_detail("以下货号图片张数超过5张~\n {}".format(error_goods_art_no_folder))
  571. # self.set_state(state_value=2)
  572. # return
  573. if to_do_images_total > 0:
  574. # self.progress_sign.emit({"type": "处理图片 抠图、加工等", "progress_bar_value": 0})
  575. for goods_art_no_folder in self.list_dir(image_dir):
  576. # 指定内容检查
  577. if todo_goods_art_no_folder_name_list is not None:
  578. if goods_art_no_folder not in todo_goods_art_no_folder_name_list:
  579. continue
  580. if not os.path.isdir('{}/{}'.format(image_dir, goods_art_no_folder)):
  581. continue
  582. self.run_one_folder_to_deal(goods_art_no_folder=goods_art_no_folder,
  583. image_dir=image_dir,
  584. image_order=image_order,
  585. resize_image_view=resize_image_view,
  586. callback_func=callback_func,
  587. logo_path=logo_path,
  588. )
  589. else:
  590. # self.show_progress_detail("没有需要处理的图片~")
  591. callback_func('没有需要处理的图片~')
  592. # self.set_state(state_value=2)
  593. return {'code': 0, 'msg': 'ok'}
  594. def run_one_folder_to_deal(self, goods_art_no_folder, image_dir, image_order, resize_image_view,
  595. callback_func=None, logo_path=""):
  596. _img_all = self.list_dir("{}/{}/原始图".format(image_dir, goods_art_no_folder))
  597. all_original_images = [] # 过滤非图片数据
  598. index = 0
  599. for _file in _img_all:
  600. file_name, e = os.path.splitext(_file)
  601. if e in _Type:
  602. index += 1
  603. new_file_name = "{}({}){}".format(goods_art_no_folder, index, e)
  604. new_path = "{}/{}/原始图/{}".format(image_dir, goods_art_no_folder, new_file_name)
  605. old_path = "{}/{}/原始图/{}".format(image_dir, goods_art_no_folder, _file)
  606. if old_path != new_path:
  607. # 存在货号命名错误的,进行修正
  608. try:
  609. os.rename(old_path, new_path)
  610. except:
  611. pass
  612. all_original_images.append(new_file_name)
  613. if os.path.exists("{}/{}/原始图/镜像.txt".format(image_dir, goods_art_no_folder)):
  614. file_mirror_mark = True
  615. else:
  616. file_mirror_mark = None
  617. # if goods_art_no_folder == "AC51016112":
  618. # print(file_mirror_mark)
  619. # raise 111
  620. all_moved_images = [os.path.splitext(x)[0] for x in
  621. self.list_dir("{}/{}/原始图_已抠图".format(image_dir, goods_art_no_folder))]
  622. all_800images = [os.path.splitext(x)[0] for x in
  623. self.list_dir(
  624. "{}/{}/800x800".format(image_dir, goods_art_no_folder))]
  625. all_800images = []
  626. # 检查哪些图片没有做过抠图处理
  627. i_n = 0
  628. _name_list = ["视角{}".format(x) for x in range(1, len(all_original_images) + 1)]
  629. # if goods_art_no_folder == "AC51028001":
  630. # _name_list = ["正视", "45度", "侧视", "后视", "底视", "其他1", "其他2", "其他3"]
  631. image_index = 0 # 图片顺序
  632. is_image_deal_mode = 0
  633. max_box = None
  634. for file in all_original_images:
  635. i_n += 1
  636. image_index += 1
  637. original_image_path = "{}/{}/原始图/{}".format(image_dir, goods_art_no_folder, file)
  638. file_name = os.path.splitext(file)[0]
  639. """
  640. 当第三张就是为后跟
  641. """
  642. if file_name not in all_800images: # 所有都重新生成
  643. # if goods_art_no_folder != "AC51016112":
  644. # continue
  645. goods_art_no_folder_path = "{}/{}".format(image_dir, goods_art_no_folder)
  646. print("正在处理,货号:{}".format(goods_art_no_folder_path))
  647. # self.show_progress_detail("正在处理,货号:{}".format(file_name))
  648. callback_func("正在处理,货号:{}".format(file_name))
  649. # 该文件在800images下没有时,则进行生成新的抠图
  650. # 检查是否存在已抠图文件,如没有再去抠图
  651. original_move_bg_image_path = "{}/原始图_已抠图/{}{}".format(goods_art_no_folder_path, file_name,
  652. ".png")
  653. image_deal_mode = 0 # 默认图片不做镜像处理
  654. if not os.path.exists(original_move_bg_image_path):
  655. # 没有抠图文件,进行抠图生成
  656. # self.show_progress_detail("正在抠图 货号:{}".format(file_name))
  657. callback_func("正在抠图 货号:{}".format(file_name))
  658. remove_pic_ins = RemoveBgALi()
  659. im = remove_pic_ins.get_image_cut(file_path=original_image_path,
  660. out_file_path=original_move_bg_image_path)
  661. if not im:
  662. # self.show_progress_detail("货号图{} 抠图处理失败~".format(file_name))
  663. callback_func("货号图{} 抠图处理失败~".format(file_name))
  664. continue
  665. if image_index == 1:
  666. is_image_deal_mode = 0
  667. if settings.Mode == "鞋类":
  668. goods_class = "鞋"
  669. # 如果图片已存在,则需要通过加载图片判断是否为左右脚
  670. if OnePicDeal().check_shoe_is_right(image_path=original_move_bg_image_path):
  671. image_deal_mode = 1 # 1表示要镜像,0表示不做镜像
  672. is_image_deal_mode = 1
  673. if settings.Mode == "皮具":
  674. # 图片对应的商品类型
  675. # goods_class = self.get_goods_class(goods_art_no_folder, original_image_path)
  676. max_box = (1000, 1200)
  677. # _ = {"AC51028001": "女包",
  678. # "AC51028002": "男包",
  679. # "AC51028003": "皮带",
  680. # "AC51028004": "女包"}
  681. # if goods_class in _:
  682. # goods_class = _[goods_class]
  683. # else:
  684. # goods_class = "女包"
  685. #
  686. # _ = {"女包": (1000, 1200),
  687. # "男包": (1000, 1200),
  688. # "皮带": (1000, 1000), }
  689. # max_box = _[goods_class]
  690. # 获取图片信息非必要程序,用于处理图片模式
  691. date_time_original = self.get_date_time_original(original_image_path) # 获取照片拍照时间
  692. if date_time_original:
  693. # 基于照片的时间,与数据库匹配goods_art_no
  694. self.lock.acquire()
  695. _data = self.dataModeMatchPhoto.get_goods_art_no(date_time_original)
  696. self.lock.release()
  697. if _data:
  698. # 能匹配上数据库
  699. goods_art_no, _image_index, _image_deal_mode = _data
  700. if _image_index < 10:
  701. image_index = _image_index
  702. if _image_deal_mode == 1:
  703. image_deal_mode = 1
  704. # print(goods_art_no, image_index, image_deal_mode)
  705. if file_mirror_mark:
  706. image_deal_mode = 1
  707. """进行800image 生成"""
  708. generate_pic = GeneratePic()
  709. if settings.OUT_PIC_MODE == ".jpg":
  710. out_path = "{}/800x800/{}{}".format(goods_art_no_folder_path, file_name, ".jpg")
  711. else:
  712. out_path = "{}/800x800/{}{}".format(goods_art_no_folder_path, file_name, ".png")
  713. out_process_path_1 = "{}/阴影图处理/{}_{}_阴影{}".format(goods_art_no_folder_path, file_name,
  714. _name_list[i_n - 1], ".png")
  715. out_process_path_2 = "{}/阴影图处理/{}_{}_抠图{}".format(goods_art_no_folder_path, file_name,
  716. _name_list[i_n - 1], ".png")
  717. print("image_index", image_index)
  718. image_index = 99
  719. curve_mask = True if "俯视" in image_dict["image_view"] else False
  720. if generate_pic.run(image_path=original_image_path,
  721. cut_image_path=original_move_bg_image_path,
  722. out_path=out_path,
  723. image_deal_mode=is_image_deal_mode,
  724. image_index=image_index,
  725. out_pic_size=settings.OUT_PIC_SIZE,
  726. is_logo=True if i_n == 1 else False,
  727. out_process_path_1=out_process_path_1,
  728. out_process_path_2=out_process_path_2,
  729. max_box=max_box,
  730. logo_path=logo_path,
  731. curve_mask=curve_mask
  732. ):
  733. # self.show_progress_detail("货号图{} _{} 已完成800*800图片制作~".format(image_index, file_name))
  734. callback_func("货号图{} _{} 已完成800*800图片制作~".format(image_index, file_name))
  735. else:
  736. # self.show_progress_detail("货号图{} _{} 图片生成处理失败~".format(image_index, file_name))
  737. callback_func("货号图{} _{} 图片生成处理失败~".format(image_index, file_name))
  738. # 完成处理的图片进度
  739. self.lock.acquire()
  740. # self.set_progress()
  741. self.lock.release()
  742. def get_goods_art_no(self, date_time_original):
  743. time_array = time.strptime(date_time_original, "%Y:%m:%d %H:%M:%S")
  744. time_array = time.mktime(time_array)
  745. datetime_obj = datetime.fromtimestamp(time_array)
  746. session = SqlQuery()
  747. configModel = CRUD(DeviceConfig)
  748. result = configModel.read(
  749. session, conditions={"photo_create_time": datetime_obj}, order_by="id", ascending=True
  750. )
  751. if result:
  752. return result.goods_art_no, result.image_index, result.image_deal_mode
  753. else:
  754. return None
  755. def get_goods_art_no_info(self, numbers_list=None, goods_art_list=None, headers=None):
  756. # 获取商品基础信息,入参为商品的编号
  757. url = "{domain}/api/backend/goods_client/goods_query".format(
  758. domain=settings.APP_HOST
  759. )
  760. data = {
  761. 'goods_art_list': goods_art_list
  762. }
  763. data = json.dumps(data)
  764. _s = requests.session().post(url=url, data=data, headers=headers)
  765. response_data = _s.json()
  766. goods_number_data = {}
  767. # ["", "", "", "", "", "", "", "", "", "", "", ]
  768. if "data" not in response_data:
  769. return {}
  770. for data in response_data["data"]:
  771. goods_number_data[data["goods_art_no"]] = {}
  772. goods_number_data[data["goods_art_no"]]["商品货号"] = data["goods_art_no"].upper()
  773. goods_number_data[data["goods_art_no"]]["款号"] = data["goods_number"].upper()
  774. goods_number_data[data["goods_art_no"]]["商品面料"] = data["fabric"]
  775. goods_number_data[data["goods_art_no"]]["商品内里"] = data["lining"]
  776. goods_number_data[data["goods_art_no"]]["商品鞋底"] = data["sole"]
  777. goods_number_data[data["goods_art_no"]]["鞋垫"] = data["insole"]
  778. goods_number_data[data["goods_art_no"]]["颜色名称"] = data["color"]
  779. return goods_number_data
  780. def get_data_from_hqt_with_goods_art_no(self, goods_art_no_list):
  781. _goods_art_no_list = copy.deepcopy(goods_art_no_list)
  782. _list = []
  783. # 单次请求数少于20个
  784. goods_art_no_dict = {}
  785. while _goods_art_no_list:
  786. goods_art_no = _goods_art_no_list.pop()
  787. _list.append(goods_art_no)
  788. if len(_list) == 20 or len(_goods_art_no_list) == 0:
  789. online_goods_art_data = self.get_goods_art_no_info(
  790. goods_art_list=_list
  791. )
  792. if online_goods_art_data:
  793. for _goods_art_no in online_goods_art_data:
  794. goods_art_no_dict[_goods_art_no] = online_goods_art_data[
  795. _goods_art_no
  796. ]
  797. _list = []
  798. return goods_art_no_dict
  799. def get_goods_art_no_info(self, numbers_list=None, goods_art_list=None, headers=None):
  800. # 获取商品基础信息,入参为商品的编号
  801. url = "{domain}/api/backend/goods_client/goods_query".format(
  802. domain=settings.APP_HOST
  803. )
  804. data = {
  805. 'goods_art_list': goods_art_list
  806. }
  807. data = json.dumps(data)
  808. _s = requests.session().post(url=url, data=data, headers=headers)
  809. # _s = self.s.get(url=url, params=params, headers=settings.Headers)
  810. response_data = _s.json()
  811. goods_number_data = {}
  812. # ["", "", "", "", "", "", "", "", "", "", "", ]
  813. if "data" not in response_data:
  814. return {}
  815. for data in response_data["data"]:
  816. goods_number_data[data["goods_art_no"]] = {}
  817. goods_number_data[data["goods_art_no"]]["商品货号"] = data["goods_art_no"].upper()
  818. goods_number_data[data["goods_art_no"]]["款号"] = data["goods_number"].upper()
  819. goods_number_data[data["goods_art_no"]]["商品面料"] = data["fabric"]
  820. goods_number_data[data["goods_art_no"]]["商品内里"] = data["lining"]
  821. goods_number_data[data["goods_art_no"]]["商品鞋底"] = data["sole"]
  822. goods_number_data[data["goods_art_no"]]["鞋垫"] = data["insole"]
  823. goods_number_data[data["goods_art_no"]]["颜色名称"] = data["color"]
  824. return goods_number_data
  825. def get_data_from_hqt(self, goods_number_list):
  826. _goods_number_list = copy.deepcopy(goods_number_list)
  827. _list = []
  828. # 单次请求数少于20个
  829. goods_number_dict = {}
  830. while _goods_number_list:
  831. goods_art_no = _goods_number_list.pop()
  832. if "NUM" in goods_art_no:
  833. goods_art_no = goods_art_no.replace("NUM", "")
  834. _list.append(goods_art_no)
  835. if len(_list) == 20 or len(_goods_number_list) == 0:
  836. online_goods_art_data = self.get_goods_art_no_info(
  837. numbers_list=_list
  838. )
  839. if online_goods_art_data:
  840. for number in online_goods_art_data:
  841. goods_number_dict["NUM" + number] = online_goods_art_data[
  842. number
  843. ]
  844. _list = []
  845. return goods_number_dict
  846. def dealMoveImage(self, image_dir: str, callback_func=None) -> dict:
  847. if not self.check_path(image_dir=image_dir + "/历史"):
  848. return {'code': 1, 'msg': '文件夹创建失败', 'data': {}}
  849. # 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
  850. files = self.list_dir(image_dir)
  851. original_photo_list = [] # 原始图片列表
  852. for file in files:
  853. # -----图片清洗
  854. file_path = image_dir + "/" + file
  855. if os.path.isdir(file_path): # 忽略文件夹
  856. continue
  857. file_name, suffix = os.path.splitext(file)
  858. if suffix not in _Type: # 非图片进行移除
  859. shutil.move(file_path, image_dir + "/历史/" + file)
  860. continue
  861. date_time_original = self.get_date_time_original(file_path) # 获取照片拍照时间
  862. if date_time_original:
  863. # 基于照片的时间,与数据库匹配goods_art_no
  864. _data = self.get_goods_art_no(date_time_original)
  865. if _data:
  866. # 能匹配上数据库
  867. goods_art_no, image_index, image_deal_mode = _data
  868. print("832 与数据库匹配goods_art_no", file_name, date_time_original, goods_art_no)
  869. original_photo_list.append({"file_path": file_path,
  870. "file": file,
  871. "date_time_original": date_time_original,
  872. "goods_art_no": goods_art_no,
  873. "image_index": image_index,
  874. "real_goods_art_no": "",
  875. "real_goods_number": "",
  876. })
  877. else:
  878. # 匹配不上报错
  879. # self.show_progress_detail("图片:{} 无法对应货号,不做处理".format(file))
  880. if callback_func:
  881. callback_func("图片:{} 无对应货号".format(file))
  882. # shutil.move(photo_dict["file_path"], self.image_dir + "/历史/" + photo_dict["file"])
  883. continue
  884. else:
  885. shutil.move(file_path, image_dir + "/历史/" + file)
  886. if not original_photo_list:
  887. return {"code": 1, "msg": "没有任何匹配的图片", 'data': {}}
  888. if settings.PROJECT == "红蜻蜓":
  889. # 批量请求货号图信息
  890. goods_art_no_list = [x["goods_art_no"] for x in original_photo_list]
  891. goods_art_no_list = list(set(goods_art_no_list))
  892. goods_art_no_list = [x for x in goods_art_no_list if "NUM" not in x]
  893. if goods_art_no_list:
  894. goods_art_no_dict = self.get_data_from_hqt_with_goods_art_no(
  895. goods_art_no_list=goods_art_no_list)
  896. for i in original_photo_list:
  897. if i["goods_art_no"] in goods_art_no_dict:
  898. i["real_goods_art_no"] = i["goods_art_no"]
  899. i["real_goods_number"] = "NUM{}".format(goods_art_no_dict[i["goods_art_no"]]["编号"])
  900. # 批量请求编号对应信息
  901. goods_number_list = [x["goods_art_no"] for x in original_photo_list]
  902. goods_number_list = list(set(goods_number_list))
  903. goods_number_list = [x for x in goods_number_list if "NUM" in x]
  904. if goods_number_list:
  905. goods_number_dict = self.get_data_from_hqt(goods_number_list=goods_number_list)
  906. for i in original_photo_list:
  907. if i["goods_art_no"] in goods_number_dict:
  908. i["real_goods_number"] = i["goods_art_no"]
  909. i["real_goods_art_no"] = goods_number_dict[i["goods_art_no"]]["商品货号"]
  910. # 排序需要基于拍照的文件序号进行处理
  911. original_photo_list.sort(
  912. key=lambda x: "{}-{}-{}".format(x["goods_art_no"], x["image_index"], x["file"]))
  913. # print(original_photo_list)
  914. # 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
  915. total_num = len(original_photo_list)
  916. # 当天日期作为文件夹
  917. seconds = time.time()
  918. output_path = "output/{f_name}".format(f_name=time.strftime("%Y-%m-%d", time.localtime(seconds)))
  919. # 遍历每个匹配好的数据进行处理
  920. n = 0
  921. for photo_dict in original_photo_list:
  922. n += 1
  923. # 进度条
  924. goods_art_no = photo_dict["goods_art_no"]
  925. original_image_path = photo_dict["file_path"]
  926. # 输出货号文件夹
  927. if photo_dict["real_goods_art_no"]:
  928. goods_art_no = "{}@{}".format(photo_dict["real_goods_art_no"], photo_dict["real_goods_number"])
  929. goods_art_no_path = "{output_path}/{goods_art_no}".format(output_path=output_path,
  930. goods_art_no=goods_art_no)
  931. # 创建货号下的一系列文件夹
  932. self.create_folder(goods_art_no_path)
  933. # 重命名并进行移动
  934. print("开始移动:{} {} 命名为:{}".format(goods_art_no, original_image_path, goods_art_no_path))
  935. 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
  936. time.sleep(0.2)
  937. # self.progress_sign.emit({"type": "移动原始图片", "progress_bar_value": int(n / total_num * 100)})
  938. # self.show_progress_detail("货号{} 相关文件夹创建完成,已移动原图~".format(goods_art_no))
  939. if callback_func:
  940. callback_func("货号{} 相关文件夹创建完成,已移动原图~".format(goods_art_no))
  941. print("已完成移动处理")
  942. if n != 0:
  943. # if settings.MattingPics:
  944. # # 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
  945. # self.deal_images()
  946. # 自动生成一个货号表
  947. print("output_path", output_path)
  948. GenerateGoodsArtNoTable.deal(output_path)
  949. # 完成处理
  950. # self.set_state(state_value=2)
  951. return {'code': 0, 'msg': '处理完成', 'target_path': output_path, 'data': {}}
  952. def check_path(self, image_dir: str):
  953. if not os.path.exists(image_dir):
  954. os.mkdir(image_dir)
  955. return True
  956. def get_date_time_original(self, file_path):
  957. with open(file_path, 'rb') as file_data:
  958. tags = exifread.process_file(file_data)
  959. if "EXIF DateTimeOriginal" in tags:
  960. return str(tags["EXIF DateTimeOriginal"])
  961. else:
  962. return False
  963. def create_folder(self, path):
  964. def check_folder(__path):
  965. if not os.path.exists(__path):
  966. os.makedirs(__path)
  967. return False
  968. return True
  969. # 文件夹不存在,创建货号子集文件夹
  970. if not check_folder(path):
  971. for name in ["原始图", "原始图_已抠图", "800x800", "200images"]:
  972. other_path = path + "/" + name
  973. check_folder(other_path)
  974. def move_images(self, goods_art_no, goods_art_no_path, old_image_path):
  975. """
  976. 步骤:
  977. 1、移动到原始图
  978. Args:
  979. goods_art_no:
  980. goods_art_no_path:
  981. old_image_path:
  982. Returns:
  983. """
  984. # 移动到原始图
  985. file = os.path.split(old_image_path)[1]
  986. # 扩展名
  987. e = os.path.splitext(file)[1]
  988. # 获取图片序列
  989. self.goods_images_count_dict[goods_art_no] += 1
  990. # A9999(1).jpg
  991. new_file_name = "{}({})".format(goods_art_no, self.goods_images_count_dict[goods_art_no])
  992. original_image_path = "{}/原始图/{}{}".format(goods_art_no_path, new_file_name, e)
  993. # 移动图片
  994. shutil.move(old_image_path, original_image_path)
  995. def pixianRemoveImageBg(self, file_path: str, out_file_path: str, callbackek_func=None):
  996. url = self.dataModeMatchPhoto.get_online_data.uploadImage(local_path=file_path)
  997. remonveUrl = settings.DOMAIN + '/api/ai_image/main/remove_background'
  998. param = {'base_image': url}
  999. post_headers = {"Authorization": self.token,
  1000. "Content-Length": "",
  1001. "Content-Type": "application/json",
  1002. "Accept": "application/json"}
  1003. result = requests.post(remonveUrl, data=json.dumps(param), headers=post_headers).json()
  1004. print(result)
  1005. if "code" in result and result['code'] == 0:
  1006. response = requests.get(result['data']['image'][0])
  1007. with open(out_file_path, 'wb') as file:
  1008. file.write(response.content)
  1009. return result['data']['image'][0]
  1010. else:
  1011. callbackek_func("精细化抠图处理失败 {}".format(result['message']))
  1012. return ''
  1013. def list_dir(self, path):
  1014. listdir = os.listdir(path)
  1015. return natsorted(listdir, alg=ns.PATH)