deal_image.py 18 KB

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  1. import os
  2. from natsort import natsorted,ns
  3. import shutil
  4. import exifread
  5. import time
  6. import datetime
  7. from databases import PhotoRecord,SqlQuery,CRUD
  8. import settings
  9. import copy
  10. import json
  11. import requests
  12. from service.pic_deal import Picture
  13. import xlsxwriter
  14. from PIL import Image
  15. from .base_deal import BaseDealImage
  16. _Type = ['.png', '.PNG', '.jpg', '.JPG', '.gif', '.GIF', ".jpge", ".JPGE"]
  17. class DealImage(BaseDealImage):
  18. def __init__(self, image_dir=None):
  19. super().__init__()
  20. self.image_dir = image_dir
  21. self.header = None
  22. def check_path(self, image_dir: str):
  23. if not os.path.exists(image_dir):
  24. os.mkdir(image_dir)
  25. return True
  26. def list_dir(self, path):
  27. listdir = os.listdir(path)
  28. return natsorted(listdir, alg=ns.PATH)
  29. def get_date_time_original(self, file_path):
  30. with open(file_path, 'rb') as file_data:
  31. tags = exifread.process_file(file_data)
  32. if "EXIF DateTimeOriginal" in tags:
  33. return str(tags["EXIF DateTimeOriginal"])
  34. else:
  35. return False
  36. def get_goods_art_no(self, goods_art_no):
  37. # time_array = time.strptime(date_time_original, "%Y:%m:%d %H:%M:%S")
  38. # time_array = time.mktime(time_array)
  39. # datetime_obj = datetime.datetime.fromtimestamp(time_array)
  40. session = SqlQuery()
  41. configModel = CRUD(PhotoRecord)
  42. result = configModel.read(
  43. session,
  44. conditions={"goods_art_no": goods_art_no},
  45. order_by="id",
  46. ascending=True,
  47. )
  48. if result:
  49. return result.goods_art_no, result.image_index, result.image_deal_mode
  50. else:
  51. return None
  52. def get_data_from_hqt_with_goods_art_no(self, goods_art_no_list):
  53. _goods_art_no_list = copy.deepcopy(goods_art_no_list)
  54. _list = []
  55. # 单次请求数少于20个
  56. goods_art_no_dict = {}
  57. while _goods_art_no_list:
  58. goods_art_no = _goods_art_no_list.pop()
  59. _list.append(goods_art_no)
  60. if len(_list) == 20 or len(_goods_art_no_list) == 0:
  61. online_goods_art_data = self.get_goods_art_no_info(
  62. goods_art_list=_list
  63. )
  64. if online_goods_art_data:
  65. for _goods_art_no in online_goods_art_data:
  66. goods_art_no_dict[_goods_art_no] = online_goods_art_data[
  67. _goods_art_no
  68. ]
  69. _list = []
  70. return goods_art_no_dict
  71. def get_goods_art_no_info(self, numbers_list=None, goods_art_list=None):
  72. # 获取商品基础信息,入参为商品的编号
  73. url = "{domain}/api/backend/goods_client/goods_query".format(
  74. domain=settings.APP_HOST
  75. )
  76. data = {
  77. 'goods_art_list': goods_art_list
  78. }
  79. data = json.dumps(data)
  80. _s = requests.session().post(url=url, data=data, headers=self.header)
  81. response_data = _s.json()
  82. goods_number_data = {}
  83. # ["", "", "", "", "", "", "", "", "", "", "", ]
  84. if "data" not in response_data:
  85. return {}
  86. for data in response_data["data"]:
  87. goods_number_data[data["goods_art_no"]] = {}
  88. goods_number_data[data["goods_art_no"]]["商品货号"] = data["goods_art_no"].upper()
  89. goods_number_data[data["goods_art_no"]]["款号"] = data["goods_number"].upper()
  90. goods_number_data[data["goods_art_no"]]["商品面料"] = data["fabric"]
  91. goods_number_data[data["goods_art_no"]]["商品内里"] = data["lining"]
  92. goods_number_data[data["goods_art_no"]]["商品鞋底"] = data["sole"]
  93. goods_number_data[data["goods_art_no"]]["鞋垫"] = data["insole"]
  94. goods_number_data[data["goods_art_no"]]["颜色名称"] = data["color"]
  95. return goods_number_data
  96. def get_data_from_hqt(self, goods_number_list):
  97. _goods_number_list = copy.deepcopy(goods_number_list)
  98. _list = []
  99. # 单次请求数少于20个
  100. goods_number_dict = {}
  101. while _goods_number_list:
  102. goods_art_no = _goods_number_list.pop()
  103. if "NUM" in goods_art_no:
  104. goods_art_no = goods_art_no.replace("NUM", "")
  105. _list.append(goods_art_no)
  106. if len(_list) == 20 or len(_goods_number_list) == 0:
  107. online_goods_art_data = self.get_goods_art_no_info(
  108. numbers_list=_list
  109. )
  110. if online_goods_art_data:
  111. for number in online_goods_art_data:
  112. goods_number_dict["NUM" + number] = online_goods_art_data[
  113. number
  114. ]
  115. _list = []
  116. return goods_number_dict
  117. def create_folder(self, path):
  118. def check_folder(__path):
  119. if not os.path.exists(__path):
  120. os.makedirs(__path)
  121. return False
  122. return True
  123. # 文件夹不存在,创建货号子集文件夹
  124. if not check_folder(path):
  125. for name in ["原始图", "原始图_已抠图", "800x800", "200images"]:
  126. other_path = path + "/" + name
  127. check_folder(other_path)
  128. def move_images(self, goods_art_no, goods_art_no_path, old_image_path):
  129. """
  130. 步骤:
  131. 1、移动到原始图
  132. Args:
  133. goods_art_no:
  134. goods_art_no_path:
  135. old_image_path:
  136. Returns:
  137. """
  138. # 移动到原始图
  139. file = os.path.split(old_image_path)[1]
  140. # 扩展名
  141. e = os.path.splitext(file)[1]
  142. print("self.goods_images_count_dict", self.goods_images_count_dict)
  143. # 获取图片序列
  144. self.goods_images_count_dict[goods_art_no] += 1
  145. # A9999(1).jpg
  146. new_file_name = "{}({})".format(goods_art_no, self.goods_images_count_dict[goods_art_no])
  147. original_image_path = "{}/原始图/{}{}".format(goods_art_no_path, new_file_name, e)
  148. # 移动图片
  149. shutil.move(old_image_path, original_image_path)
  150. def dealMoveImage(self, image_dir: str, callback_func=None,goods_art_no=None) -> dict:
  151. if not self.check_path(image_dir=image_dir + "/历史"):
  152. return False, "文件夹创建失败"
  153. # 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
  154. files = self.list_dir(image_dir)
  155. print("files", files)
  156. original_photo_list = [] # 原始图片列表
  157. for file in files:
  158. # -----图片清洗
  159. file_path = image_dir + "/" + file
  160. if os.path.isdir(file_path): # 忽略文件夹
  161. continue
  162. file_name, suffix = os.path.splitext(file)
  163. if suffix not in _Type: # 非图片进行移除
  164. shutil.move(file_path, image_dir + "/历史/" + file)
  165. continue
  166. date_time_original = self.get_date_time_original(file_path) # 获取照片拍照时间
  167. if date_time_original:
  168. # 基于照片的时间,与数据库匹配goods_art_no
  169. _data = self.get_goods_art_no(goods_art_no)
  170. if _data:
  171. # 能匹配上数据库
  172. goods_art_no, image_index, image_deal_mode = _data
  173. print("832 与数据库匹配goods_art_no", file_name, date_time_original, goods_art_no)
  174. original_photo_list.append({"file_path": file_path,
  175. "file": file,
  176. "date_time_original": date_time_original,
  177. "goods_art_no": goods_art_no,
  178. "image_index": image_index,
  179. "real_goods_art_no": "",
  180. "real_goods_number": "",
  181. })
  182. else:
  183. # 匹配不上报错
  184. # self.show_progress_detail("图片:{} 无法对应货号,不做处理".format(file))
  185. if callback_func:
  186. callback_func("图片:{} 无对应货号".format(file))
  187. # shutil.move(photo_dict["file_path"], self.image_dir + "/历史/" + photo_dict["file"])
  188. continue
  189. else:
  190. shutil.move(file_path, image_dir + "/历史/" + file)
  191. if not original_photo_list:
  192. return False, "没有任何匹配的图片"
  193. # 暂不处理红蜻蜓
  194. # if settings.PROJECT == "红蜻蜓":
  195. # # 批量请求货号图信息
  196. # goods_art_no_list = [x["goods_art_no"] for x in original_photo_list]
  197. # goods_art_no_list = list(set(goods_art_no_list))
  198. # goods_art_no_list = [x for x in goods_art_no_list if "NUM" not in x]
  199. # if goods_art_no_list:
  200. # goods_art_no_dict = self.get_data_from_hqt_with_goods_art_no(
  201. # goods_art_no_list=goods_art_no_list)
  202. # for i in original_photo_list:
  203. # if i["goods_art_no"] in goods_art_no_dict:
  204. # i["real_goods_art_no"] = i["goods_art_no"]
  205. # i["real_goods_number"] = "NUM{}".format(goods_art_no_dict[i["goods_art_no"]]["编号"])
  206. # # 批量请求编号对应信息
  207. # goods_number_list = [x["goods_art_no"] for x in original_photo_list]
  208. # goods_number_list = list(set(goods_number_list))
  209. # goods_number_list = [x for x in goods_number_list if "NUM" in x]
  210. # if goods_number_list:
  211. # goods_number_dict = self.get_data_from_hqt(goods_number_list=goods_number_list)
  212. # for i in original_photo_list:
  213. # if i["goods_art_no"] in goods_number_dict:
  214. # i["real_goods_number"] = i["goods_art_no"]
  215. # i["real_goods_art_no"] = goods_number_dict[i["goods_art_no"]]["商品货号"]
  216. # 排序需要基于拍照的文件序号进行处理
  217. original_photo_list.sort(
  218. key=lambda x: "{}-{}-{}".format(x["goods_art_no"], x["image_index"], x["file"]))
  219. # print(original_photo_list)
  220. # 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
  221. total_num = len(original_photo_list)
  222. # 当天日期作为文件夹
  223. seconds = time.time()
  224. output_path = "output/{f_name}".format(f_name=time.strftime("%Y-%m-%d", time.localtime(seconds)))
  225. # 遍历每个匹配好的数据进行处理
  226. n = 0
  227. for photo_dict in original_photo_list:
  228. n += 1
  229. # 进度条
  230. goods_art_no = photo_dict["goods_art_no"]
  231. original_image_path = photo_dict["file_path"]
  232. # 输出货号文件夹
  233. if photo_dict["real_goods_art_no"]:
  234. goods_art_no = "{}@{}".format(photo_dict["real_goods_art_no"], photo_dict["real_goods_number"])
  235. goods_art_no_path = "{output_path}/{goods_art_no}".format(output_path=output_path,
  236. goods_art_no=goods_art_no)
  237. # 创建货号下的一系列文件夹
  238. self.create_folder(goods_art_no_path)
  239. # 重命名并进行移动
  240. print("开始移动:{} {} 命名为:{}".format(goods_art_no, original_image_path, goods_art_no_path))
  241. 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
  242. time.sleep(0.2)
  243. # self.progress_sign.emit({"type": "移动原始图片", "progress_bar_value": int(n / total_num * 100)})
  244. # self.show_progress_detail("货号{} 相关文件夹创建完成,已移动原图~".format(goods_art_no))
  245. if callback_func:
  246. callback_func("货号{} 相关文件夹创建完成,已移动原图~".format(goods_art_no))
  247. print("已完成移动处理")
  248. if n != 0:
  249. # if settings.MattingPics:
  250. # # 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
  251. # self.deal_images()
  252. # 自动生成一个货号表
  253. print("output_path", output_path)
  254. self.deal(output_path)
  255. # 完成处理
  256. # self.set_state(state_value=2)
  257. return True, output_path
  258. def deal(cls, dir_path):
  259. # print("dir_path", dir_path)
  260. out_excel_data = []
  261. for goods_art_no_folder in os.listdir(dir_path): # 遍历货号文件夹集合
  262. if not os.path.isdir(
  263. "{}/{}".format(dir_path, goods_art_no_folder)
  264. ): # 非文件夹进行过滤
  265. continue
  266. if "软件" in goods_art_no_folder:
  267. continue
  268. # print("goods_art_no_folder", goods_art_no_folder)
  269. # 如果存在800的主图,则优先进行使用
  270. big_image_folder_path = "{}/{}/800x800".format(
  271. dir_path, goods_art_no_folder
  272. )
  273. if not os.path.exists(big_image_folder_path):
  274. os.mkdir(big_image_folder_path)
  275. all_big_images = os.listdir(big_image_folder_path)
  276. goods_pic_total = len(all_big_images)
  277. _Type = [".png", ".PNG", ".jpg", ".JPG", ".gif", ".GIF", ".jpge", ".JPGE"]
  278. thumb_image_file_path = None
  279. # print("all_big_images",all_big_images)
  280. if all_big_images:
  281. for _file in all_big_images:
  282. # print(_file)
  283. file_name, e = os.path.splitext(_file)
  284. # print(file_name, e)
  285. if e in _Type:
  286. thumb_image_file_path = "{}/{}/800x800/{}".format(
  287. dir_path, goods_art_no_folder, _file
  288. )
  289. break
  290. # 如果不存在主图则进行使用原始图
  291. if thumb_image_file_path is None:
  292. _path = "{}/{}/原始图".format(dir_path, goods_art_no_folder)
  293. if not os.path.exists(_path):
  294. continue
  295. all_original_images = os.listdir(_path) # 遍历货号原始图文件夹
  296. goods_pic_total = len(all_original_images)
  297. if not all_original_images:
  298. continue
  299. image_file = all_original_images[0] # 取第一个货号图
  300. image_file_path = "{}/{}/原始图/{}".format(
  301. dir_path, goods_art_no_folder, image_file
  302. )
  303. if not os.path.exists(
  304. "{}/{}/200images".format(dir_path, goods_art_no_folder)
  305. ):
  306. os.mkdir("{}/{}/200images".format(dir_path, goods_art_no_folder))
  307. thumb_image_file_path = "{}/{}/200images/{}".format(
  308. dir_path, goods_art_no_folder, image_file
  309. )
  310. if not os.path.exists(thumb_image_file_path):
  311. # 开始触发进行压缩生成文件
  312. shutil.copy(image_file_path, thumb_image_file_path) # 复制文件
  313. pic = Picture(thumb_image_file_path)
  314. pic.resize(width=600)
  315. pic.save_img(thumb_image_file_path)
  316. # print("thumb_image_file_path", thumb_image_file_path)
  317. goods_number = ""
  318. if "@" in goods_art_no_folder:
  319. _ = goods_art_no_folder.split("@")
  320. goods_art_no_folder = _[0]
  321. goods_number = _[1].replace("NUM", "")
  322. out_excel_data.append(
  323. [
  324. goods_number,
  325. goods_art_no_folder,
  326. thumb_image_file_path,
  327. goods_pic_total,
  328. ]
  329. )
  330. if out_excel_data:
  331. out_excel_path = "{}/货号表-{}.xlsx".format(dir_path, time.time())
  332. options = {
  333. "default_format_properties": {
  334. "align": "left",
  335. "valign": "vcenter",
  336. "text_wrap": True,
  337. }
  338. }
  339. book = xlsxwriter.Workbook(filename=out_excel_path, options=options)
  340. sheet = book.add_worksheet("sheet1")
  341. # sheet.freeze_panes(1, 2)
  342. sheet.set_column("B:B", 17)
  343. sheet.set_column("D:D", 20)
  344. sheet.write_row("A1", ["编号", "原货号", "新货号", "缩略图", "原始图张数"])
  345. for index, data in enumerate(out_excel_data):
  346. # print(data)
  347. goods_number, goods_art_no, image_file, goods_pic_total = data
  348. try:
  349. im = Image.open(image_file)
  350. im_x, im_y = im.size
  351. image_width = 100
  352. image_height = int(im_y * image_width / im_x)
  353. sheet.set_row(index + 1, 95)
  354. x_scale = round(
  355. image_width / im_x, 2
  356. ) # 固定宽度/要插入的原始图片宽
  357. y_scale = round(
  358. image_height / im_y, 2
  359. ) # 固定高度/要插入的原始图片高
  360. sheet.insert_image(
  361. index + 1,
  362. 3,
  363. image_file,
  364. {
  365. "x_scale": x_scale,
  366. "y_scale": y_scale,
  367. "x_offset": 5,
  368. "y_offset": 5,
  369. "object_position":1,
  370. },
  371. )
  372. except:
  373. pass
  374. sheet.write_row("A{}".format(index + 2), [goods_number])
  375. sheet.write_row("B{}".format(index + 2), [goods_art_no])
  376. sheet.write_row("E{}".format(index + 2), [goods_pic_total])