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