module_online_data.py 35 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. from logger import logger
  11. # logger = logging.getLogger(__name__)
  12. class JsonEncoder(json.JSONEncoder):
  13. """Convert numpy classes to JSON serializable objects."""
  14. def default(self, obj):
  15. if isinstance(obj, (np.integer, np.floating, np.bool_)):
  16. return obj.item()
  17. elif isinstance(obj, np.ndarray):
  18. return obj.tolist()
  19. else:
  20. return super(JsonEncoder, self).default(obj)
  21. def download_image_with_pil(url, save_path):
  22. """通过url保存图片"""
  23. try:
  24. # 发送请求获取图片数据
  25. response = requests.get(url)
  26. image_data = response.content
  27. # 使用PIL处理下载的图片
  28. image = Image.open(io.BytesIO(image_data))
  29. image = image.convert("RGB")
  30. # 根据当前时间生成文件名
  31. # 保存图片
  32. image.save(save_path)
  33. return save_path
  34. except Exception as e:
  35. print("保存错误",e)
  36. return "error"
  37. class AIGCDataRequest(object):
  38. def __init__(self, token):
  39. self.s = requests.session()
  40. self.token = token
  41. self.post_headers = {
  42. "Authorization": token,
  43. }
  44. def uploadImage(self, local_path: str) -> str:
  45. post_headers = {"Authorization": self.token}
  46. url = settings.DOMAIN + "/api/upload"
  47. resultData = self.s.post(
  48. url, files={"file": open(local_path, "rb")}, headers=post_headers
  49. ).json()
  50. return resultData["data"]["url"]
  51. def center_paste_image(
  52. self, source_image_path, output_path, width=900, ratio=(3, 4)
  53. ):
  54. """
  55. 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
  56. Args:
  57. source_image_path: 源PNG图片路径
  58. output_path: 输出图片路径
  59. width: 目标图片宽度
  60. ratio: 目标图片比例 (宽:高)
  61. """
  62. # 计算目标尺寸 (900 x 1200)
  63. target_width = width
  64. target_height = int(width * ratio[1] / ratio[0])
  65. # 创建透明背景图片(RGBA模式)
  66. background = Image.new(
  67. "RGBA", (target_width, target_height), (255, 255, 255, 0)
  68. )
  69. # 打开源图片
  70. source_img = Image.open(source_image_path)
  71. # 确保源图片是RGBA模式以保持透明度
  72. if source_img.mode != "RGBA":
  73. source_img = source_img.convert("RGBA")
  74. # 调整源图片大小以适应目标尺寸,保持原图比例
  75. source_width, source_height = source_img.size
  76. scale = min(target_width / source_width, target_height / source_height)
  77. new_width = int(source_width * scale)
  78. new_height = int(source_height * scale)
  79. # 调整源图片尺寸
  80. source_img_resized = source_img.resize(
  81. (new_width, new_height), Image.Resampling.LANCZOS
  82. )
  83. # 计算居中粘贴位置
  84. paste_x = (target_width - new_width) // 2
  85. paste_y = (target_height - new_height) // 2
  86. # 将调整后的源图片居中粘贴到背景上,保留透明度
  87. background.paste(source_img_resized, (paste_x, paste_y), source_img_resized)
  88. # 如果需要保存为PNG格式以保持透明度
  89. if output_path.lower().endswith(".png"):
  90. background.save(output_path, format="PNG")
  91. else:
  92. # 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
  93. background = background.convert("RGB")
  94. background.save(output_path)
  95. source_img.close()
  96. return background
  97. def generateProductScene(self, local_path, prompt, save_path):
  98. imageUrl = self.uploadImage(local_path)
  99. print("imageUrl", imageUrl)
  100. data = {
  101. "site": 1,
  102. "base_image": imageUrl,
  103. "keyword": prompt,
  104. "model_type": 1,
  105. "gemini_model": "gemini-2.5-flash-image-preview",
  106. }
  107. """生成场景图"""
  108. try:
  109. url = settings.DOMAIN + "/api/ai_image/inspired/command_to_image"
  110. resultData = self.s.post(url, data=data, headers=self.post_headers, timeout=80).json()
  111. code = resultData.get("code", 0)
  112. message = resultData.get("message", "")
  113. if code != 0:
  114. raise UnicornException(message)
  115. image_arr = resultData.get("data", None).get("image", [])
  116. if len(image_arr) == 0:
  117. raise UnicornException("场景图生成失败")
  118. image_url = image_arr[0]
  119. save_image_path = download_image_with_pil(image_url, save_path)
  120. return save_image_path
  121. except:
  122. raise UnicornException("场景图生成失败")
  123. def generateProductSceneQW(self, local_path, prompt, save_path):
  124. '''千问生成场景图'''
  125. imageUrl = self.uploadImage(local_path)
  126. data = {
  127. "machine_type": 0, # 0鞋;1服装
  128. "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
  129. "base_image": imageUrl,
  130. "prompt": prompt
  131. }
  132. """生成场景图"""
  133. url = settings.DOMAIN + "/api/ai_image/main/image_edit_generate"
  134. resultData = self.s.post(url, data=data, headers=self.post_headers).json()
  135. code = resultData.get("code", 0)
  136. message = resultData.get("message", "")
  137. if code != 0:
  138. raise UnicornException(message)
  139. image_url = resultData.get("data", None).get("image_url", '')
  140. if image_url == "" or image_url is None:
  141. raise UnicornException("场景图生成失败")
  142. save_image_path = download_image_with_pil(image_url, save_path)
  143. return save_image_path
  144. def generateModelShoesQW(self, local_path, model_id, save_path):
  145. '''千问生成场景图'''
  146. imageUrl = self.uploadImage(local_path)
  147. data = {
  148. "machine_type": 0, # 0鞋;1服装
  149. "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
  150. "base_image": imageUrl,
  151. "model_template_id": model_id,
  152. }
  153. """生成场景图"""
  154. url = settings.DOMAIN + "/api/ai_image/main/image_edit_generate"
  155. resultData = self.s.post(url, data=data, headers=self.post_headers).json()
  156. code = resultData.get("code", 0)
  157. message = resultData.get("message", "")
  158. if code != 0:
  159. raise UnicornException(message)
  160. image_url = resultData.get("data", None).get("image_url", '')
  161. if image_url == "" or image_url is None:
  162. raise UnicornException("模特图生成失败")
  163. save_image_path = download_image_with_pil(image_url, save_path)
  164. return save_image_path
  165. def searchProgress(self, id):
  166. """查询进度"""
  167. try:
  168. url = settings.DOMAIN + "/api/ai_image/main/search_bacth_progress"
  169. data = {"site": 1, "generate_ids": [id], "type": "aigc_pro"}
  170. resultData = self.s.post(url, json=data, headers=self.post_headers, timeout=10)
  171. resultData = resultData.json()
  172. code = resultData.get("code", 0)
  173. message = resultData.get("message", "")
  174. if code != 0:
  175. raise UnicornException(message)
  176. data_result = resultData.get("data", [])
  177. print("查询进度", data_result)
  178. logger.info(f"查询进度:{data_result}")
  179. if len(data_result) == 0:
  180. return -1, None
  181. data_item = data_result[0]
  182. status = data_item.get("status", -1)
  183. result_image = None
  184. # 只有在完成状态下才返回图片URL
  185. if status == 2: # 完成
  186. result_image_urls = data_item.get("result_image_urls", [])
  187. result_image_urls = [] if result_image_urls is None else result_image_urls
  188. result_image = result_image_urls[0] if len(result_image_urls) > 0 else None
  189. return status, result_image
  190. except requests.Timeout:
  191. print("查询进度超时")
  192. return -1, None
  193. except Exception as e:
  194. print(f"查询进度异常: {e}")
  195. return -1, None
  196. def generateUpperShoes(self, local_path, model_id, save_path):
  197. """生成上脚图"""
  198. print("生成上脚图", local_path, model_id, save_path)
  199. imageUrl = self.uploadImage(local_path)
  200. data = {
  201. "site": 1,
  202. "model_template_id": model_id,
  203. "base_image": imageUrl,
  204. "creatClass": "鞋子上脚图-鞋子上脚图",
  205. "creatTimer": 40,
  206. "pname": "OnFeetImage",
  207. }
  208. """生成上脚图"""
  209. url = settings.DOMAIN + "/api/ai_image/main/upper_footer"
  210. resultData = self.s.post(url, data=data, headers=self.post_headers).json()
  211. code = resultData.get("code", 0)
  212. message = resultData.get("message", "")
  213. if code != 0:
  214. raise UnicornException(message)
  215. generate_ids = resultData.get("data", None).get("generate_ids", [])
  216. if len(generate_ids) == 0:
  217. raise UnicornException("模特图生成失败")
  218. generate_id = generate_ids[0]
  219. search_times = 80
  220. status = 0
  221. result_image = None
  222. print("generate_id", generate_id)
  223. while search_times > 0:
  224. print(f"模特图查询第{search_times}次")
  225. logger.info(f"模特图查询第{search_times}次")
  226. status, result_image = self.searchProgress(generate_id)
  227. # status: -1=失败, 0=排队中, 1=进行中, 2=完成
  228. if status == 2: # 完成
  229. break
  230. if status == -1: # 失败
  231. break
  232. # status为0(排队中)或1(进行中)时继续查询
  233. time.sleep(1)
  234. search_times -= 1
  235. # 循环结束后检查最终状态
  236. if status == -1 or (status != 2 and search_times <= 0):
  237. raise UnicornException("模特图生成失败")
  238. save_image_path = download_image_with_pil(result_image, save_path)
  239. print("上脚图save_image_path",result_image, save_image_path)
  240. return save_image_path
  241. class OnlineDataRequest(object):
  242. def __init__(self, token):
  243. self.s = requests.session()
  244. self.token = token
  245. self.post_headers = {
  246. "Authorization": token,
  247. # "Origin": settings.Headers["Origin"],
  248. # "Host": settings.Headers["Host"],
  249. "Content-Length": "0",
  250. "Content-Type": "application/json",
  251. "Accept": "application/json",
  252. }
  253. print("28 Authorization:", self.post_headers["Authorization"])
  254. def refresh_headers(self, token):
  255. self.post_headers = {
  256. "Authorization": token,
  257. # "Origin": settings.Headers["Origin"],
  258. # "Host": settings.Headers["Host"],
  259. "Content-Length": "0",
  260. "Content-Type": "application/json",
  261. "Accept": "application/json",
  262. }
  263. def auth_user(self):
  264. # 用户登录
  265. url = "{domain}/api/auth/user".format(domain=settings.DOMAIN)
  266. s = requests.session()
  267. _s = s.get(url=url, headers=settings.Headers)
  268. response_data = _s.json()
  269. return response_data
  270. def logout(self):
  271. url = "{domain}/api/auth/logout".format(domain=settings.DOMAIN)
  272. s = requests.session()
  273. _s = s.post(url=url, headers=settings.Headers)
  274. def get_change_bar_code(self, code):
  275. url = "{domain}/api/hct/open/sting_search_goods?string={code}".format(
  276. domain=settings.DOMAIN, code=code
  277. )
  278. try:
  279. s = requests.get(url)
  280. goods_art_no = s.json()["data"]["goods_art_no"]
  281. return goods_art_no
  282. except BaseException as e:
  283. print(e)
  284. return
  285. def get_goods_art_no_info(self, numbers_list=None, goods_art_list=None, token=None):
  286. # 获取商品基础信息,入参为商品的编号
  287. url = "{domain}/api/backend/produce/goods/info".format(domain=settings.DOMAIN)
  288. print("执行 get_goods_art_no_info ", url)
  289. if numbers_list:
  290. data = {"numbers": numbers_list}
  291. print("请求编码:", numbers_list)
  292. else:
  293. data = {"goods_art_nos": goods_art_list}
  294. print("请求货号:", goods_art_list)
  295. print("请求货号=====>", self.token)
  296. print("执行 get_goods_art_no_info----------------", data)
  297. post_headers = {
  298. "Authorization": token,
  299. # "Origin": settings.Headers["Origin"],
  300. # "Host": settings.Headers["Host"],
  301. "Content-Length": "",
  302. "Content-Type": "application/json",
  303. "Accept": "application/json",
  304. }
  305. data = json.dumps(data)
  306. post_headers["Content-Length"] = str(len(data))
  307. _s = self.s.post(url=url, data=data, headers=post_headers)
  308. # _s = self.s.get(url=url, params=params, headers=settings.Headers)
  309. response_data = _s.json()
  310. # print(response_data)
  311. # print("\n")
  312. goods_number_data = {}
  313. # ["", "", "", "", "", "", "", "", "", "", "", ]
  314. if "data" not in response_data:
  315. return {}
  316. for data in response_data["data"]:
  317. if numbers_list:
  318. number = data["number"]
  319. else:
  320. number = data["goods_art_no"].upper()
  321. goods_number_data[number] = {}
  322. goods_number_data[number]["商品面料"] = data["fabric"]
  323. goods_number_data[number]["商品内里"] = data["lining"]
  324. goods_number_data[number]["商品鞋底"] = data["sole"]
  325. goods_number_data[number]["后帮高"] = data["back_height"]
  326. goods_number_data[number]["前掌宽"] = data["forefoot_width"]
  327. goods_number_data[number]["鞋跟高"] = data["heel_height"]
  328. goods_number_data[number]["FAB介绍"] = data["fab_info"]
  329. goods_number_data[number]["编号"] = data["number"]
  330. goods_number_data[number]["商品货号"] = data["goods_art_no"].upper()
  331. goods_number_data[number]["款号"] = data["goods_number"].upper()
  332. goods_number_data[number]["颜色名称"] = data["color"]
  333. goods_number_data[number]["所属企划"] = data["projects"][0]
  334. goods_number_data[number]["设计方名称"] = data["purchasing_unit"]
  335. goods_number_data[number]["供应商"] = data["supplier_name"]
  336. goods_number_data[number]["供应商编码"] = data["supplier_code"].lstrip("0")
  337. goods_number_data[number]["供应商货号"] = data["supplier_goods_artno"]
  338. goods_number_data[number]["销售工厂"] = data["sales_factory_name"]
  339. goods_number_data[number]["销售组织"] = data["man_org_name"]
  340. goods_number_data[number]["是否SAP"] = data["source"]
  341. goods_number_data[number]["OEM报价"] = data["oem_price"]
  342. goods_number_data[number]["出厂价"] = data["ex_factory_price"]
  343. goods_number_data[number]["首单货期"] = data["earliest_delivery_date"]
  344. goods_number_data[number]["包装"] = data["package_specification"]
  345. goods_number_data[number]["创建日期"] = data["created_at"]
  346. goods_number_data[number]["货号图"] = data["image"]
  347. return goods_number_data
  348. def get_on_goods_all_art(self, number):
  349. # 获取商品基础信息,入参为商品的编号
  350. url = "{domain}/api/backend/produce/goods/query/numbers?number={number}".format(
  351. domain=settings.DOMAIN, number=number
  352. )
  353. _s = self.s.get(url=url, headers=self.post_headers)
  354. response_data = _s.json()
  355. print(number, response_data)
  356. """
  357. 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'}
  358. """
  359. return (
  360. response_data["data"]["goods_number"],
  361. response_data["data"]["brother_goods_arts"],
  362. response_data["data"]["goods_art_no"],
  363. )
  364. def get_views(self, image_url):
  365. url = "http://{}/shoes_category".format(settings.VIEW_DEAL_DOMAIN)
  366. data = {
  367. "train_path": "./datasets/Shoes_Dataset/Train/angle",
  368. "model_filename": "./models/0320/output0320.pth",
  369. "validate_path": image_url,
  370. }
  371. _s = requests.post(
  372. url=url,
  373. data=json.dumps(data),
  374. )
  375. response_data = _s.json()
  376. return response_data["classify_result"]
  377. def uploadImage(self, local_path: str) -> str:
  378. post_headers = {"Authorization": self.token}
  379. url = settings.DOMAIN + "/api/upload"
  380. resultData = self.s.post(
  381. url, files={"file": open(local_path, "rb")}, headers=post_headers
  382. ).json()
  383. return resultData["data"]["url"]
  384. def get_current_menu(self):
  385. def get_menu(_menu_dict, _data):
  386. for menu in _data:
  387. _menu_dict[menu["key"]] = {}
  388. for mods in menu["mods_arr"]:
  389. _menu_dict[menu["key"]][mods["key"]] = mods["name"]
  390. if "_child" in menu:
  391. get_menu(_menu_dict, menu["_child"])
  392. return _menu_dict
  393. url = "{domain}/api/backend/basic/get_current_menu".format(
  394. domain=settings.DOMAIN,
  395. )
  396. _s = self.s.get(url=url, headers=settings.Headers)
  397. response_data = _s.json()
  398. try:
  399. menu_data = response_data["data"]["pc_menu"]
  400. menu_dict = {}
  401. menu_dict = get_menu(menu_dict, menu_data)
  402. except:
  403. menu_dict = {}
  404. # print(json.dumps(menu_dict,ensure_ascii=False))
  405. # raise 1
  406. return menu_dict
  407. # 获取所有资源的配置
  408. def get_resource_config(self):
  409. url = "{domain}/api/openai/query_client_addons".format(domain=settings.DOMAIN)
  410. _s = self.s.get(
  411. url=url, headers=self.post_headers, params={"type": "client_camera"}
  412. )
  413. response_data = _s.json()
  414. return response_data
  415. # 拍照日志上报
  416. def add_auto_photo_logs(self, data):
  417. url = "{domain}/api/openai/add_auto_photo_logs".format(domain=settings.DOMAIN)
  418. post_data = {
  419. "goods_no": data["goods_art_no"],
  420. "take_photo_created_at": data["take_photo_created_at"],
  421. "photo_created_at": data["photo_create_time"],
  422. "image_dispose_mode": data["image_deal_mode"],
  423. "photo_serial_number": data["image_index"],
  424. }
  425. post_data = json.dumps(post_data)
  426. _s = self.s.post(url=url, headers=self.post_headers, data=post_data)
  427. response_data = _s.json()
  428. if settings.IS_TEST:
  429. print("209-----拍照日志上报 add_auto_photo_logs")
  430. print(response_data)
  431. return response_data
  432. def upload_pic_list_data(self, data):
  433. url = "{domain}/api/backend/goods/save/images".format(domain=settings.DOMAIN)
  434. data = json.dumps(data)
  435. self.post_headers["Content-Length"] = str(len(data))
  436. _s = self.s.post(url=url, data=data, headers=self.post_headers)
  437. response_data = _s.json()
  438. try:
  439. if response_data["code"] == 0 and response_data["message"] == "success":
  440. return True
  441. else:
  442. print(data)
  443. print(response_data)
  444. return False
  445. except BaseException as e:
  446. print(data)
  447. print(e)
  448. print(response_data)
  449. return False
  450. def upload_pic(self, goods_data):
  451. # 检查货号图是否存在
  452. url = "{domain}/api/backend/upload".format(domain=settings.DOMAIN)
  453. # print(url)
  454. headers = {
  455. "Authorization": settings.Headers["Authorization"],
  456. "User-Agent": settings.Headers["User-Agent"],
  457. "Origin": settings.Headers["Origin"],
  458. "Host": settings.Headers["Host"],
  459. }
  460. files = [
  461. (
  462. "file",
  463. (
  464. goods_data["file_path"],
  465. goods_data["image_io"],
  466. "image/{}".format(goods_data["e"]),
  467. ),
  468. )
  469. ]
  470. _s = requests.post(url=url, headers=headers, files=files)
  471. response_data = _s.json()
  472. return response_data["data"]["url"]
  473. # 查询是否已有详情图
  474. def check_detail_image(self, goods_art_no, token):
  475. url = "{domain}/api/backend/goods/check_detail_image?number={number}".format(
  476. domain=settings.DOMAIN, number=goods_art_no
  477. )
  478. _s = self.s.get(url=url, headers=self.post_headers)
  479. response_data = _s.json()
  480. # print(response_data)
  481. return response_data["data"]["hasDetailImage"]
  482. # 调用API识别是否是拖鞋
  483. def yolo_shoes_category(self, image_url):
  484. url = "{domain}/api/ai_image/main/yolo_shoes_category".format(
  485. domain=settings.DOMAIN
  486. )
  487. post_data = {
  488. "image_url": image_url,
  489. }
  490. post_data = json.dumps(post_data)
  491. _s = self.s.post(url=url, headers=self.post_headers, data=post_data)
  492. response_data = _s.json()
  493. if settings.IS_TEST:
  494. print("278-----yolo_shoes_category")
  495. print(response_data)
  496. r_data = None
  497. try:
  498. r_data = response_data["data"]["category"]
  499. except BaseException as e:
  500. print("285", e)
  501. return r_data
  502. # 图片上传by IO
  503. def upload_image_by_io(self, image_io) -> str:
  504. post_headers = {"Authorization": settings.Authorization}
  505. url = settings.DOMAIN + "/api/upload"
  506. resultData = self.s.post(
  507. url, files={"file": image_io}, headers=post_headers
  508. ).json()
  509. return resultData["data"]["url"]
  510. def upload_goods_api(self, params):
  511. """上传商品api"""
  512. post_headers = {
  513. "Authorization": self.token,
  514. "Content-Type": "application/json",
  515. }
  516. url = settings.DOMAIN + "/api/ai_image/camera_machine/publish_goods"
  517. postData = json.dumps(params)
  518. # print("上传商品api==>url", url)
  519. # print("上传第三方数据打印", params)
  520. resultData = self.s.post(url, data=postData, headers=post_headers).json()
  521. print("上传商品api==>resultData", resultData)
  522. return resultData
  523. def sendSocketMessage(self, code=0, msg="", data=None, device_status=2,msg_type="upload_goods_progress"):
  524. data = {
  525. "code": code,
  526. "msg": msg,
  527. "status": device_status,
  528. "data": data,
  529. "msg_type": msg_type,
  530. }
  531. loop = asyncio.get_event_loop()
  532. loop.create_task(message_queue.put(data))
  533. def uploadGoods2ThirdParty(self, goods_no_dict=None, online_stores=[]):
  534. params = []
  535. message_type = "upload_goods_progress"
  536. if goods_no_dict == None:
  537. return
  538. success_goods_arts = []
  539. for store in online_stores:
  540. for goods_no in goods_no_dict.keys():
  541. goods_data = goods_no_dict[goods_no]
  542. detail_path = goods_data.get("detail_path", "")
  543. if detail_path == "":
  544. continue
  545. goods_title = goods_data.get("商品标题", "")
  546. if goods_title == "":
  547. continue
  548. goods_price = goods_data.get("商品价格", 0)
  549. if goods_price == '':
  550. goods_price = 0
  551. if goods_price == 0:
  552. continue
  553. skuList = []
  554. itemImageInfoList = []
  555. itemSkuImageList = []
  556. sku_list_basic = goods_data.get("货号资料", [])
  557. quantity = 9999
  558. skuPropValueList = []
  559. for skuIdx, sku_data in enumerate(sku_list_basic):
  560. sku_goods_art_no = sku_data.get("货号", "")
  561. color_name = sku_data.get("颜色名称", "")
  562. size = sku_data.get("尺寸", 37)
  563. # 尺码
  564. mainImages = sku_data.get("800x800", [])
  565. if not mainImages:
  566. continue
  567. success_goods_arts.append(sku_goods_art_no)
  568. mainImagePath = mainImages[0]
  569. imageUrl = self.uploadImage(local_path=mainImagePath)
  570. skuNameJson = []
  571. skuNameJson.append({"propName":"颜色","propValue":color_name})
  572. skuNameJson.append({"propName":"尺寸","propValue":size})
  573. skuItemData = {
  574. "颜色": color_name,
  575. "尺寸": size,
  576. "skuPropName":color_name,
  577. "skuNo": sku_goods_art_no,
  578. "originalPrice": float(goods_price),
  579. "newSkuWeight": int(1),
  580. "skuMainImageUrl": str(imageUrl),
  581. "skuName": f"颜色:{color_name};尺寸:{size}",
  582. "sellingPrice": float(goods_price),
  583. "quantity": int(quantity),
  584. "showOrder": int(skuIdx + 1),
  585. "skuNameJson":skuNameJson
  586. }
  587. skuList.append(skuItemData)
  588. itemImage = {
  589. "imageUrl": str(imageUrl),
  590. "imageType": 0,
  591. "imageItem": int(skuIdx),
  592. "imageIndex": 10,
  593. }
  594. itemImageInfoList.append(itemImage)
  595. imageJson = {
  596. "imageUrl": str(imageUrl),
  597. "imageType": 1,
  598. "showOrder": 1,
  599. }
  600. skuPropValueList.append(
  601. {
  602. "imageJson": [imageJson],
  603. "propValue": str(color_name),
  604. "showOrder": 1,
  605. }
  606. )
  607. itemSkuImageList.append(
  608. {
  609. "propName": "颜色",
  610. "isImageProp": 1,
  611. "propShowOrder": 1,
  612. "skuPropValueList": skuPropValueList,
  613. }
  614. )
  615. itemSkuImageList.append({
  616. "propName": "尺寸",
  617. "isImageProp": 0,
  618. "propShowOrder": 1,
  619. "showOrder": 0,
  620. "propValue": str(size),
  621. "skuPropValueList":[{
  622. "propValue": str(size),
  623. "showOrder": 1,
  624. }]
  625. })
  626. detailImageUrl = self.uploadImage(local_path=detail_path)
  627. category_info = "流行男鞋>>休闲鞋>>时尚休闲鞋"
  628. itemData = {
  629. "catePathName": category_info, # 分类
  630. "itemName": str(goods_title), # 商品标题
  631. "itemNo": str(goods_no),
  632. "brandName": store, # 品牌名称
  633. "sellingPrice": float(goods_price), # 售价(未划线价)
  634. "originalPrice": float(goods_price), # 划线价
  635. "quantity": int(quantity), # 库存数量
  636. "propInfoList": [
  637. {"propName": "品牌", "propIndex": 2, "propValue": "Vali"},
  638. {
  639. "propName": "平台类目",
  640. "propIndex": 3,
  641. "propValue": category_info,
  642. },
  643. ],
  644. "skuList": skuList,
  645. "itemImageInfoList": itemImageInfoList,
  646. "itemSkuImageList": itemSkuImageList,
  647. "wapDescription": f'<img src="{detailImageUrl}"/>',
  648. "pcDescription": f'<img src="{detailImageUrl}"/>',
  649. }
  650. params.append(itemData)
  651. json_params = str(params) # 直接转换为字符串表示
  652. print("json_params", json_params)
  653. # 使用base64编码
  654. encoded = base64.b64encode(json_params.encode("utf-8")).decode("utf-8")
  655. self.upload_goods_api({"bizcontent": encoded, "online_stores": online_stores})
  656. print("商品上传第三方成功")
  657. return True
  658. class GetOnlineDataHLM(OnlineDataRequest):
  659. def __init__(self, token):
  660. super().__init__(token)
  661. self.token = token
  662. def upload_pic(self, goods_data, token):
  663. # 检查货号图是否存在
  664. url = "{domain}/api/backend/upload".format(domain=settings.DOMAIN)
  665. # print(url)
  666. headers = {
  667. "Authorization": self.token,
  668. # 'User-Agent': settings.Headers["User-Agent"],
  669. # 'Origin': settings.Headers["Origin"],
  670. # 'Host': settings.Headers["Host"],
  671. }
  672. files = [
  673. (
  674. "file",
  675. (
  676. goods_data["file_path"],
  677. goods_data["image_io"],
  678. "image/{}".format(goods_data["e"]),
  679. ),
  680. )
  681. ]
  682. _s = requests.post(url=url, headers=headers, files=files)
  683. response_data = _s.json()
  684. return response_data["data"]["url"]
  685. def upload_pic_list_data(self, data, token):
  686. url = "{domain}/api/backend/goods/save/images".format(domain=settings.DOMAIN)
  687. data = json.dumps(data)
  688. self.post_headers["Content-Length"] = str(len(data))
  689. _s = self.s.post(url=url, data=data, headers=self.post_headers)
  690. response_data = _s.json()
  691. try:
  692. if response_data["code"] == 0 and response_data["message"] == "success":
  693. return True
  694. else:
  695. print(response_data)
  696. return False
  697. except BaseException as e:
  698. print(e)
  699. print(response_data)
  700. return False
  701. def get_goods_art_no_info(self, numbers_list=None, goods_art_list=None, token=None):
  702. # 获取商品基础信息,入参为商品的编号
  703. url = "{domain}/api/backend/goods_client/goods_query".format(
  704. domain=settings.DOMAIN
  705. )
  706. data = {"goods_art_list": goods_art_list}
  707. print("url:", url)
  708. print("请求货号:", goods_art_list)
  709. post_headers = {
  710. "Authorization": token,
  711. # "Origin": settings.Headers["Origin"],
  712. # "Host": settings.Headers["Host"],
  713. "Content-Length": "",
  714. "Content-Type": "application/json",
  715. "Accept": "application/json",
  716. }
  717. data = json.dumps(data)
  718. print(post_headers)
  719. print(data)
  720. # post_headers["Content-Length"] = str(len(data))
  721. _s = self.s.post(url=url, data=data, headers=post_headers)
  722. # _s = self.s.get(url=url, params=params, headers=settings.Headers)
  723. response_data = _s.json()
  724. print(response_data)
  725. print("\n")
  726. goods_number_data = {}
  727. # ["", "", "", "", "", "", "", "", "", "", "", ]
  728. if "data" not in response_data:
  729. return {}
  730. for data in response_data["data"]:
  731. goods_art_no = str(data["goods_art_no"])
  732. goods_number_data[goods_art_no] = {}
  733. goods_number_data[goods_art_no]["商品货号"] = data[
  734. "goods_art_no"
  735. ].upper()
  736. goods_number_data[goods_art_no]["款号"] = data[
  737. "goods_number"
  738. ].upper()
  739. goods_number_data[goods_art_no]["商品面料"] = data["fabric"]
  740. goods_number_data[goods_art_no]["商品内里"] = data["lining"]
  741. goods_number_data[goods_art_no]["商品鞋底"] = data["sole"]
  742. goods_number_data[goods_art_no]["鞋垫"] = data["insole"]
  743. goods_number_data[goods_art_no]["颜色名称"] = data["color"]
  744. goods_number_data[goods_art_no]["商品标题"] = data["goods_title"]
  745. goods_number_data[goods_art_no]["商品价格"] = data["retail_price"]
  746. goods_number_data[goods_art_no]["尺码"] = data["size"]
  747. goods_number_data[goods_art_no]["性别"] = data["gender"]
  748. goods_number_data[goods_art_no]["token"] = self.token
  749. print("货号数据:", goods_number_data)
  750. return goods_number_data
  751. def uploadImage(self, local_path: str) -> str:
  752. post_headers = {"Authorization": settings.Authorization}
  753. url = settings.DOMAIN + "/api/upload"
  754. resultData = self.s.post(
  755. url, files={"file": open(local_path, "rb")}, headers=post_headers
  756. ).json()
  757. return resultData["data"]["url"]
  758. # ============pixian抠图处理==========================
  759. def dispose_point(self, _type):
  760. # 扣分 sub;add为增加分数,每次操作一分
  761. url = "{domain}/api/ai_image/client/dispose_point".format(
  762. domain=settings.DOMAIN
  763. )
  764. data = {"type": _type}
  765. _s = self.s.post(
  766. url=url, headers=self.post_headers, data=json.dumps(data), timeout=10
  767. )
  768. response_data = _s.json()
  769. return response_data
  770. def send_message(self, text):
  771. # 发送钉钉消息
  772. url = "{domain}/api/ai_image/client/send_message".format(domain=settings.DOMAIN)
  773. data = {"message": text}
  774. _s = self.s.post(
  775. url=url, headers=self.post_headers, data=json.dumps(data), timeout=10
  776. )
  777. response_data = _s.json()
  778. return response_data
  779. def get_cutout_image_times(self):
  780. # 获取抠图剩余次数
  781. url = "{domain}/api/ai_image/client/search_company_balance".format(
  782. domain=settings.DOMAIN
  783. )
  784. _s = self.s.post(url=url, headers=self.post_headers, timeout=10)
  785. response_data = _s.json()
  786. if "data" not in response_data:
  787. return False
  788. else:
  789. return response_data["data"]
  790. def get_key_secret(self):
  791. # 获取抠图剩余次数
  792. url = "{domain}/api/ai_image/client/get_key_serect".format(
  793. domain=settings.DOMAIN
  794. )
  795. _s = self.s.post(url=url, headers=self.post_headers, timeout=10)
  796. response_data = _s.json()
  797. return response_data["data"]