base_deal.py 53 KB

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