module_online_data.py 32 KB

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  1. import base64
  2. import requests
  3. import settings
  4. import json, asyncio
  5. import numpy as np
  6. from utils.common import message_queue
  7. from middleware import UnicornException
  8. from PIL import Image
  9. import io, time
  10. class JsonEncoder(json.JSONEncoder):
  11. """Convert numpy classes to JSON serializable objects."""
  12. def default(self, obj):
  13. if isinstance(obj, (np.integer, np.floating, np.bool_)):
  14. return obj.item()
  15. elif isinstance(obj, np.ndarray):
  16. return obj.tolist()
  17. else:
  18. return super(JsonEncoder, self).default(obj)
  19. def download_image_with_pil(url, save_path):
  20. """通过url保存图片"""
  21. try:
  22. # 发送请求获取图片数据
  23. response = requests.get(url)
  24. image_data = response.content
  25. # 使用PIL处理下载的图片
  26. image = Image.open(io.BytesIO(image_data))
  27. image = image.convert("RGB")
  28. # 根据当前时间生成文件名
  29. # 保存图片
  30. image.save(save_path)
  31. return save_path
  32. except Exception as e:
  33. print("保存错误",e)
  34. return "error"
  35. class AIGCDataRequest(object):
  36. def __init__(self, token):
  37. self.s = requests.session()
  38. self.token = token
  39. self.post_headers = {
  40. "Authorization": token,
  41. }
  42. def uploadImage(self, local_path: str) -> str:
  43. post_headers = {"Authorization": self.token}
  44. url = settings.DOMAIN + "/api/upload"
  45. resultData = self.s.post(
  46. url, files={"file": open(local_path, "rb")}, headers=post_headers
  47. ).json()
  48. return resultData["data"]["url"]
  49. def center_paste_image(
  50. self, source_image_path, output_path, width=900, ratio=(3, 4)
  51. ):
  52. """
  53. 将一张PNG透明图片居中粘贴到指定尺寸和比例的背景上,保持透明度
  54. Args:
  55. source_image_path: 源PNG图片路径
  56. output_path: 输出图片路径
  57. width: 目标图片宽度
  58. ratio: 目标图片比例 (宽:高)
  59. """
  60. # 计算目标尺寸 (900 x 1200)
  61. target_width = width
  62. target_height = int(width * ratio[1] / ratio[0])
  63. # 创建透明背景图片(RGBA模式)
  64. background = Image.new(
  65. "RGBA", (target_width, target_height), (255, 255, 255, 0)
  66. )
  67. # 打开源图片
  68. source_img = Image.open(source_image_path)
  69. # 确保源图片是RGBA模式以保持透明度
  70. if source_img.mode != "RGBA":
  71. source_img = source_img.convert("RGBA")
  72. # 调整源图片大小以适应目标尺寸,保持原图比例
  73. source_width, source_height = source_img.size
  74. scale = min(target_width / source_width, target_height / source_height)
  75. new_width = int(source_width * scale)
  76. new_height = int(source_height * scale)
  77. # 调整源图片尺寸
  78. source_img_resized = source_img.resize(
  79. (new_width, new_height), Image.Resampling.LANCZOS
  80. )
  81. # 计算居中粘贴位置
  82. paste_x = (target_width - new_width) // 2
  83. paste_y = (target_height - new_height) // 2
  84. # 将调整后的源图片居中粘贴到背景上,保留透明度
  85. background.paste(source_img_resized, (paste_x, paste_y), source_img_resized)
  86. # 如果需要保存为PNG格式以保持透明度
  87. if output_path.lower().endswith(".png"):
  88. background.save(output_path, format="PNG")
  89. else:
  90. # 如果保存为JPG等不支持透明度的格式,转换为RGB并使用白色背景
  91. background = background.convert("RGB")
  92. background.save(output_path)
  93. return background
  94. def generateProductScene(self, local_path, prompt, save_path):
  95. imageUrl = self.uploadImage(local_path)
  96. print("imageUrl", imageUrl)
  97. data = {
  98. "site": 1,
  99. "base_image": imageUrl,
  100. "keyword": prompt,
  101. "model_type": 1,
  102. "gemini_model": "gemini-2.5-flash-image-preview",
  103. }
  104. """生成场景图"""
  105. url = settings.DOMAIN + "/api/ai_image/inspired/command_to_image"
  106. resultData = self.s.post(url, data=data, headers=self.post_headers).json()
  107. code = resultData.get("code", 0)
  108. message = resultData.get("message", "")
  109. if code != 0:
  110. raise UnicornException(message)
  111. image_arr = resultData.get("data", None).get("image", [])
  112. if len(image_arr) == 0:
  113. raise UnicornException("场景图生成失败")
  114. image_url = image_arr[0]
  115. save_image_path = download_image_with_pil(image_url, save_path)
  116. return save_image_path
  117. def generateProductSceneQW(self, local_path, prompt, save_path):
  118. '''千问生成场景图'''
  119. imageUrl = self.uploadImage(local_path)
  120. data = {
  121. "machine_type": 0, # 0鞋;1服装
  122. "generate_type": 0, # 生成类型,这里指代得是场景图还是模特图;0场景图;1模特图
  123. "base_image": imageUrl,
  124. "prompt": prompt
  125. }
  126. """生成场景图"""
  127. url = settings.DOMAIN + "/api/ai_image/main/image_edit_generate"
  128. resultData = self.s.post(url, data=data, headers=self.post_headers).json()
  129. code = resultData.get("code", 0)
  130. message = resultData.get("message", "")
  131. if code != 0:
  132. raise UnicornException(message)
  133. image_url = resultData.get("data", None).get("image_url", '')
  134. if image_url == "" or image_url is None:
  135. raise UnicornException("场景图生成失败")
  136. save_image_path = download_image_with_pil(image_url, save_path)
  137. return save_image_path
  138. def generateModelShoesQW(self, local_path, model_id, save_path):
  139. '''千问生成场景图'''
  140. imageUrl = self.uploadImage(local_path)
  141. data = {
  142. "machine_type": 0, # 0鞋;1服装
  143. "generate_type": 1, # 生成类型,这里指代得是场景图还是模特图;0场景图;1模特图
  144. "base_image": imageUrl,
  145. "model_template_id": model_id,
  146. }
  147. """生成场景图"""
  148. url = settings.DOMAIN + "/api/ai_image/main/image_edit_generate"
  149. resultData = self.s.post(url, data=data, headers=self.post_headers).json()
  150. code = resultData.get("code", 0)
  151. message = resultData.get("message", "")
  152. if code != 0:
  153. raise UnicornException(message)
  154. image_url = resultData.get("data", None).get("image_url", '')
  155. if image_url == "" or image_url is None:
  156. raise UnicornException("模特图生成失败")
  157. save_image_path = download_image_with_pil(image_url, save_path)
  158. return save_image_path
  159. def searchProgress(self, id):
  160. """查询进度"""
  161. url = settings.DOMAIN + "/api/ai_image/main/search_bacth_progress"
  162. data = {"site": 1, "generate_ids": [id], "type": "aigc_pro"}
  163. resultData = self.s.post(url, json=data, headers=self.post_headers)
  164. resultData = resultData.json()
  165. code = resultData.get("code", 0)
  166. message = resultData.get("message", "")
  167. if code != 0:
  168. raise UnicornException(message)
  169. data_result = resultData.get("data", [])
  170. if len(data_result) == 0:
  171. return -1, None
  172. data_item = data_result[0]
  173. status = data_item.get("status", -1)
  174. if status in [0,1]:
  175. return status, None
  176. result_image_urls = data_item.get("result_image_urls", [])
  177. result_image = result_image_urls[0] if len(result_image_urls) > 0 else None
  178. return status, result_image
  179. def generateUpperShoes(self, local_path, model_id, save_path):
  180. """生成上脚图"""
  181. print("生成上脚图", local_path, model_id, save_path)
  182. imageUrl = self.uploadImage(local_path)
  183. data = {
  184. "site": 1,
  185. "model_template_id": model_id,
  186. "base_image": imageUrl,
  187. "creatClass": "鞋子上脚图-鞋子上脚图",
  188. "creatTimer": 40,
  189. "pname": "OnFeetImage",
  190. }
  191. """生成上脚图"""
  192. url = settings.DOMAIN + "/api/ai_image/main/upper_footer"
  193. resultData = self.s.post(url, data=data, headers=self.post_headers).json()
  194. code = resultData.get("code", 0)
  195. message = resultData.get("message", "")
  196. if code != 0:
  197. raise UnicornException(message)
  198. generate_ids = resultData.get("data", None).get("generate_ids", [])
  199. if len(generate_ids) == 0:
  200. raise UnicornException("模特图生成失败")
  201. generate_id = generate_ids[0]
  202. search_times = 60
  203. status = 0
  204. result_image = None
  205. print("generate_id", generate_id)
  206. while search_times > 0:
  207. print(f"查询第{search_times}次")
  208. status, result_image = self.searchProgress(generate_id)
  209. if status in [-1, 2]:
  210. break
  211. time.sleep(1)
  212. search_times -= 1
  213. if not result_image:
  214. raise UnicornException("模特图生成失败")
  215. save_image_path = download_image_with_pil(result_image, save_path)
  216. print("上脚图save_image_path",result_image, save_image_path)
  217. return save_image_path
  218. class OnlineDataRequest(object):
  219. def __init__(self, token):
  220. self.s = requests.session()
  221. self.token = token
  222. self.post_headers = {
  223. "Authorization": token,
  224. # "Origin": settings.Headers["Origin"],
  225. # "Host": settings.Headers["Host"],
  226. "Content-Length": "0",
  227. "Content-Type": "application/json",
  228. "Accept": "application/json",
  229. }
  230. print("28 Authorization:", self.post_headers["Authorization"])
  231. def refresh_headers(self, token):
  232. self.post_headers = {
  233. "Authorization": token,
  234. # "Origin": settings.Headers["Origin"],
  235. # "Host": settings.Headers["Host"],
  236. "Content-Length": "0",
  237. "Content-Type": "application/json",
  238. "Accept": "application/json",
  239. }
  240. def auth_user(self):
  241. # 用户登录
  242. url = "{domain}/api/auth/user".format(domain=settings.DOMAIN)
  243. s = requests.session()
  244. _s = s.get(url=url, headers=settings.Headers)
  245. response_data = _s.json()
  246. return response_data
  247. def logout(self):
  248. url = "{domain}/api/auth/logout".format(domain=settings.DOMAIN)
  249. s = requests.session()
  250. _s = s.post(url=url, headers=settings.Headers)
  251. def get_change_bar_code(self, code):
  252. url = "{domain}/api/hct/open/sting_search_goods?string={code}".format(
  253. domain=settings.DOMAIN, code=code
  254. )
  255. try:
  256. s = requests.get(url)
  257. goods_art_no = s.json()["data"]["goods_art_no"]
  258. return goods_art_no
  259. except BaseException as e:
  260. print(e)
  261. return
  262. def get_goods_art_no_info(self, numbers_list=None, goods_art_list=None, token=None):
  263. # 获取商品基础信息,入参为商品的编号
  264. url = "{domain}/api/backend/produce/goods/info".format(domain=settings.DOMAIN)
  265. print("执行 get_goods_art_no_info ", url)
  266. if numbers_list:
  267. data = {"numbers": numbers_list}
  268. print("请求编码:", numbers_list)
  269. else:
  270. data = {"goods_art_nos": goods_art_list}
  271. print("请求货号:", goods_art_list)
  272. print("请求货号=====>", self.token)
  273. print("执行 get_goods_art_no_info----------------", data)
  274. post_headers = {
  275. "Authorization": token,
  276. # "Origin": settings.Headers["Origin"],
  277. # "Host": settings.Headers["Host"],
  278. "Content-Length": "",
  279. "Content-Type": "application/json",
  280. "Accept": "application/json",
  281. }
  282. data = json.dumps(data)
  283. post_headers["Content-Length"] = str(len(data))
  284. _s = self.s.post(url=url, data=data, headers=post_headers)
  285. # _s = self.s.get(url=url, params=params, headers=settings.Headers)
  286. response_data = _s.json()
  287. # print(response_data)
  288. # print("\n")
  289. goods_number_data = {}
  290. # ["", "", "", "", "", "", "", "", "", "", "", ]
  291. if "data" not in response_data:
  292. return {}
  293. for data in response_data["data"]:
  294. if numbers_list:
  295. number = data["number"]
  296. else:
  297. number = data["goods_art_no"].upper()
  298. goods_number_data[number] = {}
  299. goods_number_data[number]["商品面料"] = data["fabric"]
  300. goods_number_data[number]["商品内里"] = data["lining"]
  301. goods_number_data[number]["商品鞋底"] = data["sole"]
  302. goods_number_data[number]["后帮高"] = data["back_height"]
  303. goods_number_data[number]["前掌宽"] = data["forefoot_width"]
  304. goods_number_data[number]["鞋跟高"] = data["heel_height"]
  305. goods_number_data[number]["FAB介绍"] = data["fab_info"]
  306. goods_number_data[number]["编号"] = data["number"]
  307. goods_number_data[number]["商品货号"] = data["goods_art_no"].upper()
  308. goods_number_data[number]["款号"] = data["goods_number"].upper()
  309. goods_number_data[number]["颜色名称"] = data["color"]
  310. goods_number_data[number]["所属企划"] = data["projects"][0]
  311. goods_number_data[number]["设计方名称"] = data["purchasing_unit"]
  312. goods_number_data[number]["供应商"] = data["supplier_name"]
  313. goods_number_data[number]["供应商编码"] = data["supplier_code"].lstrip("0")
  314. goods_number_data[number]["供应商货号"] = data["supplier_goods_artno"]
  315. goods_number_data[number]["销售工厂"] = data["sales_factory_name"]
  316. goods_number_data[number]["销售组织"] = data["man_org_name"]
  317. goods_number_data[number]["是否SAP"] = data["source"]
  318. goods_number_data[number]["OEM报价"] = data["oem_price"]
  319. goods_number_data[number]["出厂价"] = data["ex_factory_price"]
  320. goods_number_data[number]["首单货期"] = data["earliest_delivery_date"]
  321. goods_number_data[number]["包装"] = data["package_specification"]
  322. goods_number_data[number]["创建日期"] = data["created_at"]
  323. goods_number_data[number]["货号图"] = data["image"]
  324. return goods_number_data
  325. def get_on_goods_all_art(self, number):
  326. # 获取商品基础信息,入参为商品的编号
  327. url = "{domain}/api/backend/produce/goods/query/numbers?number={number}".format(
  328. domain=settings.DOMAIN, number=number
  329. )
  330. _s = self.s.get(url=url, headers=self.post_headers)
  331. response_data = _s.json()
  332. print(number, response_data)
  333. """
  334. 14250230 {'data': {'goods_number': 'AC5200117', 'brother_goods_arts': [{'number': '14250232', 'goods_art_no': 'AC52001173', 'color': '杏色'}, {'number': '14250231', 'goods_art_no': 'AC52001172', 'color': '灰色'}, {'number': '14250230', 'goods_art_no': 'AC52001171', 'color': '黑色'}]}, 'code': 0, 'message': 'success'}
  335. """
  336. return (
  337. response_data["data"]["goods_number"],
  338. response_data["data"]["brother_goods_arts"],
  339. response_data["data"]["goods_art_no"],
  340. )
  341. def get_views(self, image_url):
  342. url = "http://{}/shoes_category".format(settings.VIEW_DEAL_DOMAIN)
  343. data = {
  344. "train_path": "./datasets/Shoes_Dataset/Train/angle",
  345. "model_filename": "./models/0320/output0320.pth",
  346. "validate_path": image_url,
  347. }
  348. _s = requests.post(
  349. url=url,
  350. data=json.dumps(data),
  351. )
  352. response_data = _s.json()
  353. return response_data["classify_result"]
  354. def uploadImage(self, local_path: str) -> str:
  355. post_headers = {"Authorization": self.token}
  356. url = settings.DOMAIN + "/api/upload"
  357. resultData = self.s.post(
  358. url, files={"file": open(local_path, "rb")}, headers=post_headers
  359. ).json()
  360. return resultData["data"]["url"]
  361. def get_current_menu(self):
  362. def get_menu(_menu_dict, _data):
  363. for menu in _data:
  364. _menu_dict[menu["key"]] = {}
  365. for mods in menu["mods_arr"]:
  366. _menu_dict[menu["key"]][mods["key"]] = mods["name"]
  367. if "_child" in menu:
  368. get_menu(_menu_dict, menu["_child"])
  369. return _menu_dict
  370. url = "{domain}/api/backend/basic/get_current_menu".format(
  371. domain=settings.DOMAIN,
  372. )
  373. _s = self.s.get(url=url, headers=settings.Headers)
  374. response_data = _s.json()
  375. try:
  376. menu_data = response_data["data"]["pc_menu"]
  377. menu_dict = {}
  378. menu_dict = get_menu(menu_dict, menu_data)
  379. except:
  380. menu_dict = {}
  381. # print(json.dumps(menu_dict,ensure_ascii=False))
  382. # raise 1
  383. return menu_dict
  384. # 获取所有资源的配置
  385. def get_resource_config(self):
  386. url = "{domain}/api/openai/query_client_addons".format(domain=settings.DOMAIN)
  387. _s = self.s.get(
  388. url=url, headers=self.post_headers, params={"type": "client_camera"}
  389. )
  390. response_data = _s.json()
  391. return response_data
  392. # 拍照日志上报
  393. def add_auto_photo_logs(self, data):
  394. url = "{domain}/api/openai/add_auto_photo_logs".format(domain=settings.DOMAIN)
  395. post_data = {
  396. "goods_no": data["goods_art_no"],
  397. "take_photo_created_at": data["take_photo_created_at"],
  398. "photo_created_at": data["photo_create_time"],
  399. "image_dispose_mode": data["image_deal_mode"],
  400. "photo_serial_number": data["image_index"],
  401. }
  402. post_data = json.dumps(post_data)
  403. _s = self.s.post(url=url, headers=self.post_headers, data=post_data)
  404. response_data = _s.json()
  405. if settings.IS_TEST:
  406. print("209-----拍照日志上报 add_auto_photo_logs")
  407. print(response_data)
  408. return response_data
  409. def upload_pic_list_data(self, data):
  410. url = "{domain}/api/backend/goods/save/images".format(domain=settings.DOMAIN)
  411. data = json.dumps(data)
  412. self.post_headers["Content-Length"] = str(len(data))
  413. _s = self.s.post(url=url, data=data, headers=self.post_headers)
  414. response_data = _s.json()
  415. try:
  416. if response_data["code"] == 0 and response_data["message"] == "success":
  417. return True
  418. else:
  419. print(data)
  420. print(response_data)
  421. return False
  422. except BaseException as e:
  423. print(data)
  424. print(e)
  425. print(response_data)
  426. return False
  427. def upload_pic(self, goods_data):
  428. # 检查货号图是否存在
  429. url = "{domain}/api/backend/upload".format(domain=settings.DOMAIN)
  430. # print(url)
  431. headers = {
  432. "Authorization": settings.Headers["Authorization"],
  433. "User-Agent": settings.Headers["User-Agent"],
  434. "Origin": settings.Headers["Origin"],
  435. "Host": settings.Headers["Host"],
  436. }
  437. files = [
  438. (
  439. "file",
  440. (
  441. goods_data["file_path"],
  442. goods_data["image_io"],
  443. "image/{}".format(goods_data["e"]),
  444. ),
  445. )
  446. ]
  447. _s = requests.post(url=url, headers=headers, files=files)
  448. response_data = _s.json()
  449. return response_data["data"]["url"]
  450. # 查询是否已有详情图
  451. def check_detail_image(self, goods_art_no, token):
  452. url = "{domain}/api/backend/goods/check_detail_image?number={number}".format(
  453. domain=settings.DOMAIN, number=goods_art_no
  454. )
  455. _s = self.s.get(url=url, headers=self.post_headers)
  456. response_data = _s.json()
  457. # print(response_data)
  458. return response_data["data"]["hasDetailImage"]
  459. # 调用API识别是否是拖鞋
  460. def yolo_shoes_category(self, image_url):
  461. url = "{domain}/api/ai_image/main/yolo_shoes_category".format(
  462. domain=settings.DOMAIN
  463. )
  464. post_data = {
  465. "image_url": image_url,
  466. }
  467. post_data = json.dumps(post_data)
  468. _s = self.s.post(url=url, headers=self.post_headers, data=post_data)
  469. response_data = _s.json()
  470. if settings.IS_TEST:
  471. print("278-----yolo_shoes_category")
  472. print(response_data)
  473. r_data = None
  474. try:
  475. r_data = response_data["data"]["category"]
  476. except BaseException as e:
  477. print("285", e)
  478. return r_data
  479. # 图片上传by IO
  480. def upload_image_by_io(self, image_io) -> str:
  481. post_headers = {"Authorization": settings.Authorization}
  482. url = settings.DOMAIN + "/api/upload"
  483. resultData = self.s.post(
  484. url, files={"file": image_io}, headers=post_headers
  485. ).json()
  486. return resultData["data"]["url"]
  487. def upload_goods_api(self, params):
  488. """上传商品api"""
  489. post_headers = {
  490. "Authorization": self.token,
  491. "Content-Type": "application/json",
  492. }
  493. url = settings.DOMAIN + "/api/ai_image/camera_machine/publish_goods"
  494. postData = json.dumps(params)
  495. # print("上传商品api==>url", url)
  496. # print("上传第三方数据打印", params)
  497. resultData = self.s.post(url, data=postData, headers=post_headers).json()
  498. print("上传商品api==>resultData", resultData)
  499. return resultData
  500. def sendSocketMessage(self, code=0, msg="", data=None, device_status=2,msg_type="upload_goods_progress"):
  501. data = {
  502. "code": code,
  503. "msg": msg,
  504. "status": device_status,
  505. "data": data,
  506. "msg_type": msg_type,
  507. }
  508. loop = asyncio.get_event_loop()
  509. loop.create_task(message_queue.put(data))
  510. def uploadGoods2ThirdParty(self, goods_no_dict=None, online_stores=[]):
  511. params = []
  512. message_type = "upload_goods_progress"
  513. if goods_no_dict == None:
  514. return
  515. success_goods_arts = []
  516. for store in online_stores:
  517. for goods_no in goods_no_dict.keys():
  518. goods_data = goods_no_dict[goods_no]
  519. detail_path = goods_data.get("detail_path", "")
  520. if detail_path == "":
  521. continue
  522. goods_title = goods_data.get("商品标题", "")
  523. if goods_title == "":
  524. continue
  525. goods_price = goods_data.get("商品价格", 0)
  526. if goods_price == '':
  527. goods_price = 0
  528. if goods_price == 0:
  529. continue
  530. skuList = []
  531. itemImageInfoList = []
  532. itemSkuImageList = []
  533. sku_list_basic = goods_data.get("货号资料", [])
  534. quantity = 9999
  535. skuPropValueList = []
  536. for skuIdx, sku_data in enumerate(sku_list_basic):
  537. sku_goods_art_no = sku_data.get("货号", "")
  538. color_name = sku_data.get("颜色名称", "")
  539. mainImages = sku_data.get("800x800", [])
  540. if not mainImages:
  541. continue
  542. success_goods_arts.append(sku_goods_art_no)
  543. mainImagePath = mainImages[0]
  544. imageUrl = self.uploadImage(local_path=mainImagePath)
  545. skuItemData = {
  546. "skuNo": sku_goods_art_no,
  547. "originalPrice": float(goods_price),
  548. "newSkuWeight": int(1),
  549. "skuMainImageUrl": str(imageUrl),
  550. "skuName": f"颜色:{color_name}",
  551. "sellingPrice": float(goods_price),
  552. "quantity": int(quantity),
  553. "showOrder": int(skuIdx + 1),
  554. }
  555. skuList.append(skuItemData)
  556. itemImage = {
  557. "imageUrl": str(imageUrl),
  558. "imageType": 0,
  559. "imageItem": int(skuIdx),
  560. "imageIndex": 10,
  561. }
  562. itemImageInfoList.append(itemImage)
  563. imageJson = {
  564. "imageUrl": str(imageUrl),
  565. "imageType": 1,
  566. "showOrder": 1,
  567. }
  568. skuPropValueList.append(
  569. {
  570. "imageJson": imageJson,
  571. "propValue": str(color_name),
  572. "showOrder": 1,
  573. }
  574. )
  575. itemSkuImageList.append(
  576. {
  577. "propName": "颜色",
  578. "isImageProp": 1,
  579. "propShowOrder": 1,
  580. "skuPropValueList": skuPropValueList,
  581. }
  582. )
  583. detailImageUrl = self.uploadImage(local_path=detail_path)
  584. category_info = "流行男鞋>>休闲鞋>>时尚休闲鞋"
  585. itemData = {
  586. "catePathName": category_info, # 分类
  587. "itemName": str(goods_title), # 商品标题
  588. "itemNo": str(goods_no),
  589. "brandName": store, # 品牌名称
  590. "sellingPrice": float(goods_price), # 售价(未划线价)
  591. "originalPrice": float(goods_price), # 划线价
  592. "quantity": int(quantity), # 库存数量
  593. "propInfoList": [
  594. {"propName": "品牌", "propIndex": 2, "propValue": "Vali"},
  595. {
  596. "propName": "平台类目",
  597. "propIndex": 3,
  598. "propValue": category_info,
  599. },
  600. ],
  601. "skuList": skuList,
  602. "itemImageInfoList": itemImageInfoList,
  603. "itemSkuImageList": itemSkuImageList,
  604. "wapDescription": f'<img src="{detailImageUrl}"/>',
  605. "pcDescription": f'<img src="{detailImageUrl}"/>',
  606. }
  607. params.append(itemData)
  608. json_params = str(params) # 直接转换为字符串表示
  609. print("json_params", json_params)
  610. # 使用base64编码
  611. encoded = base64.b64encode(json_params.encode("utf-8")).decode("utf-8")
  612. self.upload_goods_api({"bizcontent": encoded, "online_stores": online_stores})
  613. print("商品上传第三方成功")
  614. return True
  615. class GetOnlineDataHLM(OnlineDataRequest):
  616. def __init__(self, token):
  617. super().__init__(token)
  618. self.token = token
  619. def upload_pic(self, goods_data, token):
  620. # 检查货号图是否存在
  621. url = "{domain}/api/backend/upload".format(domain=settings.DOMAIN)
  622. # print(url)
  623. headers = {
  624. "Authorization": self.token,
  625. # 'User-Agent': settings.Headers["User-Agent"],
  626. # 'Origin': settings.Headers["Origin"],
  627. # 'Host': settings.Headers["Host"],
  628. }
  629. files = [
  630. (
  631. "file",
  632. (
  633. goods_data["file_path"],
  634. goods_data["image_io"],
  635. "image/{}".format(goods_data["e"]),
  636. ),
  637. )
  638. ]
  639. _s = requests.post(url=url, headers=headers, files=files)
  640. response_data = _s.json()
  641. return response_data["data"]["url"]
  642. def upload_pic_list_data(self, data, token):
  643. url = "{domain}/api/backend/goods/save/images".format(domain=settings.DOMAIN)
  644. data = json.dumps(data)
  645. self.post_headers["Content-Length"] = str(len(data))
  646. _s = self.s.post(url=url, data=data, headers=self.post_headers)
  647. response_data = _s.json()
  648. try:
  649. if response_data["code"] == 0 and response_data["message"] == "success":
  650. return True
  651. else:
  652. print(response_data)
  653. return False
  654. except BaseException as e:
  655. print(e)
  656. print(response_data)
  657. return False
  658. def get_goods_art_no_info(self, numbers_list=None, goods_art_list=None, token=None):
  659. # 获取商品基础信息,入参为商品的编号
  660. url = "{domain}/api/backend/goods_client/goods_query".format(
  661. domain=settings.DOMAIN
  662. )
  663. data = {"goods_art_list": goods_art_list}
  664. print("url:", url)
  665. print("请求货号:", goods_art_list)
  666. post_headers = {
  667. "Authorization": token,
  668. # "Origin": settings.Headers["Origin"],
  669. # "Host": settings.Headers["Host"],
  670. "Content-Length": "",
  671. "Content-Type": "application/json",
  672. "Accept": "application/json",
  673. }
  674. data = json.dumps(data)
  675. print(post_headers)
  676. print(data)
  677. # post_headers["Content-Length"] = str(len(data))
  678. _s = self.s.post(url=url, data=data, headers=post_headers)
  679. # _s = self.s.get(url=url, params=params, headers=settings.Headers)
  680. response_data = _s.json()
  681. print(response_data)
  682. print("\n")
  683. goods_number_data = {}
  684. # ["", "", "", "", "", "", "", "", "", "", "", ]
  685. if "data" not in response_data:
  686. return {}
  687. for data in response_data["data"]:
  688. goods_number_data[data["goods_art_no"]] = {}
  689. goods_number_data[data["goods_art_no"]]["商品货号"] = data[
  690. "goods_art_no"
  691. ].upper()
  692. goods_number_data[data["goods_art_no"]]["款号"] = data[
  693. "goods_number"
  694. ].upper()
  695. goods_number_data[data["goods_art_no"]]["商品面料"] = data["fabric"]
  696. goods_number_data[data["goods_art_no"]]["商品内里"] = data["lining"]
  697. goods_number_data[data["goods_art_no"]]["商品鞋底"] = data["sole"]
  698. goods_number_data[data["goods_art_no"]]["鞋垫"] = data["insole"]
  699. goods_number_data[data["goods_art_no"]]["颜色名称"] = data["color"]
  700. goods_number_data[data["goods_art_no"]]["商品标题"] = data["goods_title"]
  701. goods_number_data[data["goods_art_no"]]["商品价格"] = data["retail_price"]
  702. goods_number_data[data["goods_art_no"]]["性别"] = data["gender"]
  703. goods_number_data[data["goods_art_no"]]["token"] = self.token
  704. return goods_number_data
  705. def uploadImage(self, local_path: str) -> str:
  706. post_headers = {"Authorization": settings.Authorization}
  707. url = settings.DOMAIN + "/api/upload"
  708. resultData = self.s.post(
  709. url, files={"file": open(local_path, "rb")}, headers=post_headers
  710. ).json()
  711. return resultData["data"]["url"]
  712. # ============pixian抠图处理==========================
  713. def dispose_point(self, _type):
  714. # 扣分 sub;add为增加分数,每次操作一分
  715. url = "{domain}/api/ai_image/client/dispose_point".format(
  716. domain=settings.DOMAIN
  717. )
  718. data = {"type": _type}
  719. _s = self.s.post(
  720. url=url, headers=self.post_headers, data=json.dumps(data), timeout=10
  721. )
  722. response_data = _s.json()
  723. return response_data
  724. def send_message(self, text):
  725. # 发送钉钉消息
  726. url = "{domain}/api/ai_image/client/send_message".format(domain=settings.DOMAIN)
  727. data = {"message": text}
  728. _s = self.s.post(
  729. url=url, headers=self.post_headers, data=json.dumps(data), timeout=10
  730. )
  731. response_data = _s.json()
  732. return response_data
  733. def get_cutout_image_times(self):
  734. # 获取抠图剩余次数
  735. url = "{domain}/api/ai_image/client/search_company_balance".format(
  736. domain=settings.DOMAIN
  737. )
  738. _s = self.s.post(url=url, headers=self.post_headers, timeout=10)
  739. response_data = _s.json()
  740. if "data" not in response_data:
  741. return False
  742. else:
  743. return response_data["data"]
  744. def get_key_secret(self):
  745. # 获取抠图剩余次数
  746. url = "{domain}/api/ai_image/client/get_key_serect".format(
  747. domain=settings.DOMAIN
  748. )
  749. _s = self.s.post(url=url, headers=self.post_headers, timeout=10)
  750. response_data = _s.json()
  751. return response_data["data"]