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