api.py 98 KB

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  1. import uuid
  2. from re import search, match
  3. from natsort.natsort import order_by_index, natsorted
  4. from sqlalchemy import func
  5. from models import *
  6. import requests
  7. import json
  8. from logger import logger
  9. from serial.tools import list_ports
  10. from model import PhotoRecord
  11. import settings, datetime
  12. import pandas as pd
  13. from utils.hlm_http_request import forward_request
  14. from utils.utils_func import check_path
  15. from sockets.socket_client import socket_manager
  16. from mcu.DeviceControl import DeviceControl
  17. import time, shutil, os
  18. from io import BytesIO
  19. from sqlalchemy import and_, asc, desc
  20. from functools import partial
  21. from service.deal_image import DealImage
  22. from databases import DeviceConfig, SysConfigs, SqlQuery, CRUD, select, DeviceConfigTabs
  23. from service.run_main import RunMain
  24. import importlib
  25. from service.auto_deal_pics.upload_pic import UploadPic
  26. from service.OnePicTest import OnePicTest
  27. from service.base import check_move_goods_art_no_folder
  28. import win32api, win32gui, win32con
  29. from win32gui import EnumWindows, GetWindowText
  30. from service.online_request.module_online_data import OnlineDataRequest
  31. from concurrent.futures import ThreadPoolExecutor
  32. from functools import partial
  33. from service.online_request.module_online_data import AIGCDataRequest
  34. import asyncio
  35. from fastapi import BackgroundTasks
  36. import functools
  37. import traceback, stat
  38. import concurrent.futures
  39. from sockets.message_handler import handlerFolderDelete
  40. from service.remove_bg_ali import RemoveBgALi
  41. import uuid as mine_uuid
  42. from utils import common
  43. def log_exception_with_context(context_message=""):
  44. """装饰器:为函数添加异常日志上下文"""
  45. def decorator(func):
  46. @functools.wraps(func)
  47. def wrapper(*args, **kwargs):
  48. try:
  49. return func(*args, **kwargs)
  50. except Exception as e:
  51. logger.error(f"=== 异常发生在函数: {func.__name__} ===")
  52. if context_message:
  53. logger.error(f"上下文信息: {context_message}")
  54. logger.error(f"函数参数: args={args}, kwargs={kwargs}")
  55. logger.error(f"异常类型: {type(e).__name__}")
  56. logger.error(f"异常信息: {str(e)}")
  57. logger.error("完整堆栈跟踪:")
  58. logger.error(traceback.format_exc())
  59. raise # 重新抛出异常
  60. return wrapper
  61. return decorator
  62. def parserGoodsDict2Aigc(return_data_check_before_detail):
  63. """获取商品组装数据"""
  64. print("获取商品组装数据===========>return_data_check_before_detail", return_data_check_before_detail)
  65. goods_no_dict = return_data_check_before_detail.get("data", {}).get(
  66. "goods_no_dict", {}
  67. )
  68. return goods_no_dict
  69. async def sendAsyncMessage(msg="", goods_arts=[], status="", msg_type="", data=None, progress=None):
  70. """异步发送消息"""
  71. mapping = {"segment_progress": "抠图", "scene_progress": "场景图", "upper_footer_progress": "模特图",
  72. "detail_progress": "详情页", "upload_goods_progress": "上传第三方商品"}
  73. if progress is not None:
  74. progress["msg_type"] = msg_type
  75. name = mapping.get(msg_type, None)
  76. if name:
  77. progress["name"] = name
  78. data = {
  79. "code": 0,
  80. "msg": msg,
  81. "status": 2,
  82. "data": (
  83. data
  84. if data is not None
  85. else {
  86. "status": status,
  87. "goods_art_nos": goods_arts,
  88. }
  89. ),
  90. "progress": None if progress is None else progress,
  91. "msg_type": msg_type,
  92. }
  93. await message_queue.put(data)
  94. # message_queue.put_nowait(data)
  95. @app.get("/")
  96. async def index():
  97. # await socket_manager.send_message(msg="测试")
  98. return {"message": "Hello World"}
  99. @app.get("/scan_serials", description="扫描可用的设备端口")
  100. async def scanSerials():
  101. """扫描串口"""
  102. ports = list_ports.comports()
  103. print("Scanning", ports)
  104. return {"message": "Hello World"}
  105. @app.api_route(
  106. "/forward_request", methods=["GET", "POST"], description="代理转发hlm项目得请求"
  107. )
  108. async def forwardRequest(request: HlmForwardRequest):
  109. """
  110. 转发HTTP请求到目标URL
  111. :param request: FastAPI Request对象
  112. :return: 目标接口的响应
  113. """
  114. try:
  115. if request.method == "GET":
  116. params = request.query_params
  117. elif request.method == "POST":
  118. params = json.dump(request.query_params)
  119. else:
  120. raise UnicornException("仅支持GET和POST方法")
  121. target_url = request.target_url
  122. method = request.method.upper()
  123. headers = request.headers
  124. if not target_url:
  125. raise UnicornException("目标url地址不能为空")
  126. # 调用 hlm_http_request 中的 forward_request 函数
  127. response = forward_request(
  128. target_url, params=params, method=method, headers=headers
  129. )
  130. return response
  131. except requests.RequestException as e:
  132. raise UnicornException(e)
  133. except Exception as e:
  134. raise UnicornException(e)
  135. def __createExcelGoodsArray(excel_path):
  136. '''创建通过excel形式得货号组数据'''
  137. try:
  138. excel_df = pd.read_excel(excel_path, sheet_name=0, header=0, dtype={
  139. "款号": str,
  140. "商品货号": str,
  141. })
  142. if "商品货号" not in excel_df.columns:
  143. raise UnicornException("缺失 [商品货号] 列")
  144. if "款号" not in excel_df.columns:
  145. raise UnicornException("缺失 [款号] 列")
  146. goods_art_dirs = excel_df.groupby(excel_df["款号"])
  147. # 抠图时用到的货号列表,与生成详情图有所区别
  148. goods_art_no_arrays = []
  149. # # 详情图生成需要对同款商品进行分组,保证详情图可以生成多个色
  150. goods_art_no_group_arrays = []
  151. for _, goods_row in excel_df.iterrows():
  152. goods_art_no = str(goods_row["商品货号"])
  153. goods_art_no_arrays.append(goods_art_no)
  154. goods_no = str(goods_row["款号"])
  155. a001_df = goods_art_dirs.get_group(goods_no)
  156. goods_art_groups = a001_df["商品货号"].tolist()
  157. if goods_art_groups in goods_art_no_group_arrays:
  158. continue
  159. goods_art_no_group_arrays.append(goods_art_groups)
  160. except Exception as e:
  161. raise UnicornException("Excel文件解析失败,请检查是否缺少列")
  162. return goods_art_no_arrays, excel_df, goods_art_no_group_arrays
  163. def group_by_style_number(data):
  164. result = {}
  165. for goods_id, info in data.items():
  166. style_number = info["款号"]
  167. if style_number not in result:
  168. result[style_number] = []
  169. result[style_number].append(goods_id)
  170. return result
  171. @app.post("/handle_detail")
  172. async def handle_detail_background(
  173. request: Request, params: HandlerDetail, background_tasks: BackgroundTasks
  174. ):
  175. goods_art_no_arrays = params.goods_art_no
  176. is_check = params.is_check
  177. obj = None
  178. token = "Bearer " + params.token
  179. uuid = params.uuid
  180. run_main = RunMain(obj, token, uuid)
  181. online_stores = params.online_stores # 上传第三方的店铺名称数组
  182. is_detail = params.is_detail # 上传第三方的店铺名称数组
  183. is_product_scene = params.is_product_scene # 上传第三方的店铺名称数组
  184. is_upper_footer = params.is_upper_footer # 上传第三方的店铺名称数组
  185. # 该数组表示是否需要后面的移动文件夹操作,减少重复抠图,提升抠图时间和速度
  186. if online_stores:
  187. """如果上传第三方,则需要强制生成详情页"""
  188. params.is_detail = 1
  189. is_detail = 1
  190. try:
  191. excel_path = params.excel_path.strip()
  192. print("excel信息打印输出:", excel_path)
  193. if excel_path:
  194. goods_art_no_arrays, excel_df, _ = __createExcelGoodsArray(excel_path)
  195. await _process_excel_mode(
  196. goods_art_no_arrays, excel_df
  197. )
  198. else:
  199. if is_detail == 1:
  200. remote_data = run_main.data_mode_generate_detail.get_goods_art_no_info(
  201. goods_art_list=goods_art_no_arrays)
  202. if remote_data == {}:
  203. raise UnicornException("所有货号在商品档案资料中不存在,请检查货号是否正确")
  204. error_goods_art_no = []
  205. for goods_art_no_check in goods_art_no_arrays:
  206. check_item = remote_data.get(goods_art_no_check, None)
  207. if not check_item:
  208. error_goods_art_no.append(goods_art_no_check)
  209. if len(error_goods_art_no) > 0:
  210. raise UnicornException(
  211. "以下货号在商品档案资料中不存在,请检查货号是否正确:{}".format(error_goods_art_no))
  212. await _process_non_excel_mode(
  213. params, goods_art_no_arrays
  214. )
  215. except Exception as e:
  216. raise UnicornException(str(e))
  217. progress = [
  218. {"msg_type": "segment_progress", "name": "抠图", "status": "等待处理", "current": 0, "total": 0, "error": 0}]
  219. if is_product_scene == 1:
  220. progress.append({"msg_type": "scene_progress", "name": "场景图", "status": "等待处理", "current": 0, "total": 0,
  221. "error": 0})
  222. if is_upper_footer == 1:
  223. progress.append(
  224. {"msg_type": "upper_footer_progress", "name": "模特图", "status": "等待处理", "current": 0, "total": 0,
  225. "error": 0})
  226. if is_detail == 1 or (params.excel_path != "" and params.excel_path != None):
  227. progress.append(
  228. {"msg_type": "detail_progress", "name": "详情页", "status": "等待处理", "current": 0, "total": 0,
  229. "error": 0})
  230. if len(online_stores) > 0:
  231. progress.append(
  232. {"msg_type": "upload_goods_progress", "name": "上传第三方商品", "status": "等待处理", "current": 0,
  233. "total": 0, "error": 0})
  234. if is_check == 1:
  235. return {
  236. "code": 0,
  237. "msg": "检测通过",
  238. "data": {"progress": progress},
  239. }
  240. asyncio.create_task(process_handle_detail(request, params))
  241. return {"code": 0, "msg": "任务已提交后台处理", "data": {"status": "processing"}}
  242. # 重构后的简化版本
  243. async def process_handle_detail(request: Request, params: HandlerDetail):
  244. """处理商品详情图生成的主要函数"""
  245. try:
  246. # 初始化基础变量
  247. handler_result = []
  248. handler_result_folder = ""
  249. # 处理参数
  250. obj, token, uuid = None, "Bearer " + params.token, params.uuid
  251. aigc_clazz = AIGCDataRequest(token)
  252. run_main = RunMain(obj, token, uuid)
  253. onlineData = OnlineDataRequest(token)
  254. # 提取参数
  255. goods_art_no_arrays = params.goods_art_no
  256. online_stores = params.online_stores
  257. is_detail = params.is_detail
  258. temp_name = params.temp_name
  259. is_product_scene = params.is_product_scene
  260. is_upper_footer = params.is_upper_footer
  261. upper_footer_params = params.upper_footer_params
  262. product_scene_prompt = params.product_scene_prompt
  263. product_scene_image = params.product_scene_image
  264. if params.excel_path and params.excel_path.strip():
  265. # 处理Excel模式
  266. is_detail = 1 # 强制处理详情页
  267. goods_art_no_arrays, excel_df, _ = __createExcelGoodsArray(params.excel_path)
  268. move_folder_array = await _process_excel_mode(
  269. goods_art_no_arrays, excel_df
  270. )
  271. else:
  272. # 处理非Excel模式
  273. move_folder_array = await _process_non_excel_mode(
  274. params, goods_art_no_arrays
  275. )
  276. # 构建配置数据
  277. config_data = await _build_config_data(params, goods_art_no_arrays)
  278. # 执行抠图处理
  279. handler_result_folder, handler_result = await _process_cutout(
  280. run_main, config_data, goods_art_no_arrays, move_folder_array
  281. )
  282. # 处理场景图和模特图
  283. loop = asyncio.get_event_loop()
  284. return_data_check_before_detail = await loop.run_in_executor(
  285. None,
  286. partial(run_main.check_before_detail, config_data, is_detail)
  287. )
  288. # 检查处理结果
  289. success_handler = return_data_check_before_detail.get("data", {}).get("config_data", {}).get("success_handler",
  290. [])
  291. failed_items = [item for item in success_handler if item.get('success') == False]
  292. if failed_items:
  293. await sendAsyncMessage(
  294. msg="处理结束",
  295. data={"output_folder": handler_result_folder, "list": failed_items},
  296. status="处理结束",
  297. msg_type="detail_result_progress",
  298. )
  299. # 如果全部失败,直接终止
  300. if failed_items and len(failed_items) == len(success_handler):
  301. check_progress = {
  302. "status": "处理失败",
  303. "current": 0,
  304. "total": len(success_handler),
  305. "error": len(failed_items)
  306. }
  307. await sendAsyncMessage(
  308. msg="检查失败",
  309. goods_arts=[],
  310. status="检查失败",
  311. msg_type="segment_progress",
  312. progress=check_progress
  313. )
  314. return True
  315. # 处理场景图
  316. if is_product_scene == 1:
  317. return_data_check_before_detail = await _process_scene_images(
  318. aigc_clazz, run_main, return_data_check_before_detail, product_scene_prompt, product_scene_image
  319. )
  320. # 处理模特图
  321. if is_upper_footer == 1:
  322. return_data_check_before_detail = await _process_model_images(
  323. aigc_clazz, run_main, return_data_check_before_detail, upper_footer_params
  324. )
  325. current_day = time.strftime("%Y-%m-%d", time.localtime(time.time()))
  326. # 处理详情页
  327. if is_detail == 1:
  328. handler_result_folder, handler_result = await _process_detail_pages(
  329. run_main, return_data_check_before_detail, onlineData,
  330. online_stores, goods_art_no_arrays, handler_result_folder,
  331. params
  332. )
  333. # 如果需要上传到第三方平台
  334. if online_stores:
  335. await _upload_to_third_party(
  336. onlineData, return_data_check_before_detail,
  337. config_data, online_stores, temp_name
  338. )
  339. await sendAsyncMessage(
  340. msg="处理结束",
  341. data={"output_folder": f"{handler_result_folder}/{current_day}", "list": handler_result},
  342. status="处理结束",
  343. msg_type="detail_result_progress",
  344. )
  345. else:
  346. await sendAsyncMessage(
  347. msg="处理结束",
  348. data={"output_folder": f"{handler_result_folder}", "list": handler_result},
  349. status="处理结束",
  350. msg_type="detail_result_progress",
  351. )
  352. except UnicornException as e:
  353. logger.info(f"错误信息:{e}")
  354. line = traceback.extract_tb(e.__traceback__)[0][1]
  355. logger.info(f"错误发生在行号:{line}")
  356. await _handle_exception(e.msg, handler_result_folder)
  357. except Exception as e:
  358. logger.info(f"错误信息:{e}")
  359. line = traceback.extract_tb(e.__traceback__)[0][1]
  360. logger.info(f"错误发生在行号:{line}")
  361. await _handle_exception(str(e), handler_result_folder)
  362. return True
  363. async def _process_non_excel_mode(params, goods_art_no_arrays):
  364. """处理非Excel模式的准备工作"""
  365. limit_path = "{}/{}".format(settings.OUTPUT_DIR, time.strftime("%Y-%m-%d", time.localtime(time.time())))
  366. check_path(limit_path)
  367. move_folder_array = check_move_goods_art_no_folder(settings.OUTPUT_DIR, goods_art_no_arrays, limit_path)
  368. for goods_art_no in goods_art_no_arrays:
  369. if not goods_art_no:
  370. raise UnicornException("货号不能为空")
  371. session = SqlQuery()
  372. pr = CRUD(PhotoRecord)
  373. images = pr.read_all(session, conditions={"goods_art_no": goods_art_no, "delete_time": None})
  374. session.close()
  375. if not images:
  376. raise UnicornException(
  377. f"商品货号【{goods_art_no}】未查询到拍摄记录,请检查货号是否正确"
  378. )
  379. detail_counts = len(params.template_image_order.split(","))
  380. image_counts = len(images)
  381. if image_counts < detail_counts:
  382. raise UnicornException(
  383. f"货号:[{goods_art_no}],实际照片数量:{image_counts}张,小于详情图要求数量:{detail_counts}张"
  384. )
  385. if move_folder_array.get(goods_art_no) is None:
  386. await _process_image_copy_and_move(goods_art_no, images, False)
  387. return move_folder_array
  388. async def _process_excel_mode(goods_art_no_arrays, excel_df):
  389. """处理非Excel模式的准备工作"""
  390. limit_path = "{}/{}".format(settings.OUTPUT_DIR, time.strftime("%Y-%m-%d", time.localtime(time.time())))
  391. check_path(limit_path)
  392. move_folder_array = check_move_goods_art_no_folder("output", goods_art_no_arrays, limit_path)
  393. session = SqlQuery()
  394. for index, row in excel_df.iterrows():
  395. goods_art_no = str(row["商品货号"])
  396. print("货号数据", goods_art_no)
  397. if not goods_art_no:
  398. raise UnicornException("货号不能为空")
  399. pr = CRUD(PhotoRecord)
  400. images = pr.read_all(session, conditions={"goods_art_no": goods_art_no, "delete_time": None})
  401. if not images:
  402. raise UnicornException(
  403. f"商品货号【{goods_art_no}】未查询到拍摄记录,请检查表格中的货号数据列"
  404. )
  405. # 货号目录不存在再去进行移动和创建操作
  406. if move_folder_array.get(goods_art_no) is None:
  407. await _process_image_copy_and_move(goods_art_no, images, True)
  408. session.close()
  409. return move_folder_array
  410. async def _process_image_copy_and_move(goods_art_no, images, is_excel):
  411. """处理图片复制和移动"""
  412. image_dir = "{}/data/".format(os.getcwd()).replace("\\", "/")
  413. check_path(image_dir)
  414. for idx, itemImg in enumerate(images):
  415. if not itemImg.image_path:
  416. raise UnicornException(
  417. f"货号【{goods_art_no}】存在没有拍摄完成的图片,请重拍或删除后重试"
  418. )
  419. # new_file_name = str(itemImg.goods_art_no) + "_" + str(idx) + ".jpg"
  420. # if not os.path.exists(image_dir + "/" + os.path.basename(new_file_name)):
  421. # shutil.copy(itemImg.image_path, image_dir + new_file_name)
  422. dealImage = DealImage(image_dir)
  423. resFlag, path = dealImage.dealMoveImageV2(
  424. goods_art_no=goods_art_no
  425. )
  426. if not resFlag:
  427. raise UnicornException(path)
  428. if is_excel:
  429. try:
  430. shutil.rmtree(image_dir, onerror=settings.handle_remove_readonly)
  431. except Exception as e:
  432. logger.info(f"删除图片失败:{str(e)}")
  433. async def _build_config_data(params, goods_art_no_arrays):
  434. """构建配置数据"""
  435. temp_class = {}
  436. temp_name_list = []
  437. # 模板类型;0系统模板;1自定义模板
  438. for tempItem in params.temp_list:
  439. temp_class[tempItem.template_id] = {"class_path": tempItem.template_local_classes,
  440. "template_type": tempItem.template_type if tempItem.template_type else 0}
  441. temp_name_list.append(tempItem.template_id)
  442. # 旗舰 AI 抠图
  443. cutout_mode = settings.getSysConfigs("other_configs", "cutout_mode", "普通抠图")
  444. match cutout_mode:
  445. case "普通抠图":
  446. cutOutMode = "1"
  447. case "精细化抠图":
  448. cutOutMode = "2"
  449. case "旗舰AI抠图":
  450. cutOutMode = "3"
  451. case "旗舰AI抠图-精细":
  452. cutOutMode = "4"
  453. case "旗舰AI抠图-透明物品":
  454. cutOutMode = "5"
  455. case _:
  456. cutOutMode = "1"
  457. limit_path = "{}/{}".format(settings.OUTPUT_DIR, time.strftime("%Y-%m-%d", time.localtime(time.time())))
  458. config_data = {
  459. "image_dir": limit_path,
  460. "image_order": (
  461. "俯视,侧视,后跟,鞋底,内里,组合,组合2,组合3,组合4,组合5,组合6,组合7,组合8,组合9,组合10,组合11,组合12,组合13,组合14,组合15,组合16,组合17,组合18,组合19,组合20,组合21,组合22,组合23,组合24,组合25,组合26"
  462. if not params.template_image_order
  463. else params.template_image_order
  464. ),
  465. "goods_art_no": "",
  466. "goods_art_nos": goods_art_no_arrays,
  467. "is_check_number": False,
  468. "resize_image_view": "后跟",
  469. "cutout_mode": cutOutMode,
  470. "logo_path": params.logo_path,
  471. "special_goods_art_no_folder_line": "",
  472. "is_use_excel": (False if params.excel_path == "" else True), # 是否使用excel
  473. "excel_path": params.excel_path, # excel路径
  474. "is_check_color_is_all": False,
  475. "cutout_is_pass": True,
  476. "assigned_page_dict": {},
  477. "detail_is_pass": False,
  478. "upload_is_pass": False,
  479. "upload_is_enable": False,
  480. "is_filter": False,
  481. "temp_class": temp_class,
  482. "temp_name": params.temp_name,
  483. "temp_name_list": temp_name_list,
  484. "target_error_folder": f"{limit_path}/软件-生成详情错误",
  485. "success_handler": [],
  486. }
  487. temp_class_dict = {}
  488. try:
  489. print("configdata 模板信息", config_data["temp_class"])
  490. for key, val in config_data["temp_class"].items():
  491. class_path = val.get("class_path")
  492. template_type = val.get("template_type", 0)
  493. if template_type == 0:
  494. # 如果是系统模板,才进行动态类导入操作
  495. module_path, class_name = class_path.rsplit(".", 1)
  496. module = importlib.import_module(module_path)
  497. cls = getattr(module, class_name)
  498. temp_class_dict[key] = {"cls": cls, "template_type": template_type}
  499. else:
  500. temp_class_dict[key] = {"cls": class_path, "template_type": template_type}
  501. except:
  502. raise UnicornException("详情页模板不存在或未下载完成,请重启软件后重试")
  503. config_data["temp_class"] = temp_class_dict
  504. return config_data
  505. async def _process_cutout(run_main, config_data, goods_art_no_arrays, move_folder_array):
  506. """处理抠图"""
  507. handler_result = []
  508. handler_result_folder = ""
  509. have_handler_keys = move_folder_array.keys()
  510. if len(have_handler_keys) > 0:
  511. progress = {
  512. "status": "正在处理",
  513. "current": len(have_handler_keys),
  514. "total": len(goods_art_no_arrays),
  515. "error": 0,
  516. "goods_art_no": None
  517. }
  518. await sendAsyncMessage(
  519. msg="正在处理",
  520. data=None,
  521. status="正在处理",
  522. msg_type="segment_progress",
  523. progress=progress
  524. )
  525. loop = asyncio.get_event_loop()
  526. # 【修复】将同步耗时操作放入线程池
  527. # 注意:check_before_cutout 和 check_for_cutout_image_first_call_back 必须是线程安全的
  528. return_data = await loop.run_in_executor(
  529. None,
  530. partial(run_main.check_before_cutout, config_data)
  531. )
  532. cutout_res = await loop.run_in_executor(
  533. None,
  534. partial(run_main.check_for_cutout_image_first_call_back, return_data)
  535. )
  536. if cutout_res:
  537. # sys_path = format(os.getcwd()).replace("\\", "/")
  538. handler_result_folder = f"{config_data['image_dir']}"
  539. for goods_art_item in goods_art_no_arrays:
  540. handler_result.append({
  541. "goods_art_no": goods_art_item,
  542. "success": True,
  543. "info": "处理成功",
  544. })
  545. # print("抠图是否完成",len(have_handler_keys) == len(goods_art_no_arrays) or (len(have_handler_keys) == 0 and cutout_res),handler_result)
  546. if len(have_handler_keys) == len(goods_art_no_arrays) or (len(have_handler_keys) == 0 and cutout_res):
  547. handler_result_folder = handler_result_folder.replace("\\", "/")
  548. success_items = [item for item in handler_result if item.get('success') == True]
  549. cutout_folder = handler_result_folder + "/" + success_items[0].get("goods_art_no") + "/800x800" if len(
  550. success_items) > 0 else ""
  551. progress = {
  552. "status": "处理完成",
  553. "current": len(goods_art_no_arrays),
  554. "total": len(goods_art_no_arrays),
  555. "error": 0,
  556. "folder": cutout_folder,
  557. }
  558. await sendAsyncMessage(
  559. msg="抠图完成",
  560. data={"output_folder": handler_result_folder, "list": handler_result},
  561. status="抠图完成",
  562. msg_type="segment_progress",
  563. progress=progress
  564. )
  565. return handler_result_folder, handler_result
  566. async def _process_single_scene_item(aigc_clazz, goods_art_dict_info_item, product_scene_prompt, save_root_path,
  567. product_scene_image):
  568. """将单个货号的场景图生成逻辑提取出来,放在线程池中运行"""
  569. def sync_generate():
  570. ceshi_image_path = goods_art_dict_info_item.get("pics").get("侧视-抠图")
  571. save_image_path = f"{save_root_path}场景图.jpg"
  572. if os.path.isfile(save_image_path):
  573. return save_image_path
  574. aigc_clazz.center_paste_image(ceshi_image_path, save_image_path)
  575. image_path = aigc_clazz.generateProductScene(save_image_path, product_scene_prompt, save_image_path,
  576. product_scene_image)
  577. return image_path
  578. loop = asyncio.get_event_loop()
  579. try:
  580. image_path = await loop.run_in_executor(None, sync_generate)
  581. return {"success": True, "path": image_path}
  582. except Exception as e:
  583. return {"success": False, "error": str(e)}
  584. async def _process_scene_images(aigc_clazz, run_main, return_data_check_before_detail, product_scene_prompt,
  585. product_scene_image):
  586. """处理场景图生成"""
  587. # 参数验证
  588. if not product_scene_prompt:
  589. raise UnicornException("请填写场景描述")
  590. goods_dict = parserGoodsDict2Aigc(return_data_check_before_detail)
  591. new_goods_dict = {}
  592. goods_art_counts = {key: len(value.get('货号资料', [])) for key, value in goods_dict.items()}
  593. product_scene_total_progress = sum(goods_art_counts.values())
  594. product_scene_finish_progress = 0
  595. product_scene_error_progress = 0
  596. product_scene_progress = {
  597. "status": "正在处理",
  598. "current": product_scene_finish_progress,
  599. "total": product_scene_total_progress,
  600. "error": product_scene_error_progress
  601. }
  602. await sendAsyncMessage(
  603. msg="开始处理场景图",
  604. goods_arts=[goods_art_no for goods_art_no in goods_dict.keys()],
  605. status="开始处理",
  606. msg_type="scene_progress",
  607. progress=product_scene_progress
  608. )
  609. # loop = asyncio.get_event_loop()
  610. for goods_art_no_info in goods_dict.keys():
  611. goods_art_dict_info = goods_dict.get(goods_art_no_info, None)
  612. new_goods_dict.setdefault(goods_art_no_info, goods_art_dict_info)
  613. if goods_art_dict_info is None: continue
  614. for idx_key, goods_art_dict_info_item in enumerate(goods_art_dict_info.get("货号资料", [])):
  615. goods_art_no = goods_art_dict_info_item.get("货号")
  616. product_scene_finish_progress += 1
  617. folder = ""
  618. product_scene_progress = {
  619. "status": "正在处理",
  620. "goods_art_no": goods_art_no,
  621. "current": product_scene_finish_progress,
  622. "total": product_scene_total_progress,
  623. "error": product_scene_error_progress,
  624. "folder": folder,
  625. }
  626. await sendAsyncMessage(
  627. msg="正在处理场景图",
  628. goods_arts=[goods_art_no],
  629. status="正在处理场景图",
  630. msg_type="scene_progress",
  631. progress=product_scene_progress
  632. )
  633. first_pics = goods_art_dict_info_item.get("pics")
  634. if len(first_pics.items()) == 1:
  635. ceshi_image_path = first_pics.get("俯视-抠图")
  636. else:
  637. ceshi_image_path = first_pics.get("侧视-抠图")
  638. save_root_path = ceshi_image_path.split("阴影图处理")[0]
  639. save_image_path = f"{save_root_path}场景图.jpg"
  640. # 【修复】异步等待单个货号的 AI 处理完成
  641. # 这样在处理一个货号时,事件循环可以去发送其他货号的消息
  642. result = await _process_single_scene_item(aigc_clazz, goods_art_dict_info_item, product_scene_prompt,
  643. save_root_path, product_scene_image)
  644. if result["success"]:
  645. goods_art_dict_info_item["场景图"] = result["path"]
  646. new_goods_dict[goods_art_no_info]["货号资料"][idx_key] = goods_art_dict_info_item
  647. product_scene_progress["folder"] = save_image_path.replace("场景图.jpg", "")
  648. await sendAsyncMessage(
  649. msg="场景图处理完成",
  650. goods_arts=[goods_art_no],
  651. status="场景图处理完成",
  652. msg_type="scene_progress",
  653. progress=product_scene_progress
  654. )
  655. else:
  656. goods_art_dict_info_item["场景图"] = ""
  657. new_goods_dict[goods_art_no_info]["货号资料"][idx_key] = goods_art_dict_info_item
  658. os.remove(save_image_path)
  659. # product_scene_finish_progress -= 1
  660. product_scene_error_progress += 1
  661. product_scene_progress = {
  662. "status": "处理失败",
  663. "goods_art_no": goods_art_no,
  664. "current": product_scene_finish_progress,
  665. "total": product_scene_total_progress,
  666. "error": product_scene_error_progress,
  667. "folder": ""
  668. }
  669. await sendAsyncMessage(
  670. msg="场景图处理失败",
  671. goods_arts=[goods_art_no],
  672. status="场景图处理失败",
  673. msg_type="scene_progress",
  674. progress=product_scene_progress
  675. )
  676. status_text = "处理完成" if product_scene_finish_progress > 0 else "处理失败"
  677. product_scene_progress = {
  678. "status": status_text,
  679. "current": product_scene_finish_progress,
  680. "total": product_scene_total_progress,
  681. "error": product_scene_error_progress
  682. }
  683. await sendAsyncMessage(
  684. msg="场景图处理结束",
  685. goods_arts=[],
  686. status="场景图处理结束",
  687. msg_type="scene_progress",
  688. progress=product_scene_progress
  689. )
  690. print("场景图 new_goods_dict", new_goods_dict)
  691. if new_goods_dict:
  692. return_data_check_before_detail["data"]["goods_no_dict"] = new_goods_dict
  693. return return_data_check_before_detail
  694. async def _process_model_images(aigc_clazz, run_main, return_data_check_before_detail, upper_footer_params):
  695. """处理模特图生成"""
  696. # 参数验证
  697. if not upper_footer_params:
  698. raise UnicornException("请选择模特")
  699. man_id = upper_footer_params.get("man_id")
  700. women_id = upper_footer_params.get("women_id")
  701. if not man_id:
  702. raise UnicornException("请选择男模特")
  703. if not women_id:
  704. raise UnicornException("请选择女模特")
  705. goods_dict = parserGoodsDict2Aigc(return_data_check_before_detail)
  706. new_goods_dict = {}
  707. goods_art_counts = {key: len(value.get('货号资料', [])) for key, value in goods_dict.items()}
  708. upper_footer_total_progress = sum(goods_art_counts.values())
  709. upper_footer_finish_progress = 0
  710. upper_footer_error_progress = 0
  711. upper_footer_progress = {
  712. "status": "正在处理",
  713. "current": upper_footer_finish_progress,
  714. "total": upper_footer_total_progress,
  715. "error": upper_footer_error_progress
  716. }
  717. await sendAsyncMessage(
  718. msg="开始处理模特图",
  719. goods_arts=list(goods_dict.keys()),
  720. status="开始处理模特图",
  721. msg_type="upper_footer_progress",
  722. progress=upper_footer_progress
  723. )
  724. print("上脚图=====>>>>", goods_dict, return_data_check_before_detail)
  725. loop = asyncio.get_event_loop()
  726. for goods_art_no_info in goods_dict.keys():
  727. goods_art_dict_info = goods_dict.get(goods_art_no_info, None)
  728. new_goods_dict.setdefault(goods_art_no_info, goods_art_dict_info)
  729. if goods_art_dict_info is None: continue
  730. # 获取该款号的性别,用于选择模特
  731. gender = goods_art_dict_info.get("性别", "女")
  732. model_id = man_id if "男" in gender else women_id
  733. for idx_key, goods_art_dict_info_item in enumerate(goods_art_dict_info.get("货号资料", [])):
  734. goods_art_no = goods_art_dict_info_item.get("货号")
  735. upper_footer_finish_progress += 1
  736. folder = ""
  737. upper_footer_progress = {
  738. "status": "正在处理",
  739. "goods_art_no": goods_art_no,
  740. "current": upper_footer_finish_progress,
  741. "total": upper_footer_total_progress,
  742. "error": upper_footer_error_progress,
  743. "folder": folder,
  744. }
  745. await sendAsyncMessage(
  746. msg="正在处理模特图",
  747. goods_arts=[goods_art_no],
  748. status="正在处理模特图",
  749. msg_type="upper_footer_progress",
  750. progress=upper_footer_progress
  751. )
  752. gender = goods_art_dict_info.get("性别", "女")
  753. model_id = man_id if "男" in gender else women_id
  754. first_pics = goods_art_dict_info_item.get("pics")
  755. if len(first_pics.items()) == 1:
  756. ceshi_image_path = first_pics.get("俯视-抠图")
  757. else:
  758. ceshi_image_path = first_pics.get("侧视-抠图")
  759. save_root_path = ceshi_image_path.split("阴影图处理")[0]
  760. save_image_path = f"{save_root_path}模特图.jpg"
  761. # 2. 【核心修复】将耗时的 复制+AI生成 放入线程池
  762. def sync_model_task():
  763. if os.path.isfile(save_image_path):
  764. return {"success": True, "path": save_image_path}
  765. try:
  766. shutil.copy(ceshi_image_path, save_image_path)
  767. image_path = aigc_clazz.generateUpperShoes(save_image_path, model_id, save_image_path)
  768. return {"success": True, "path": image_path}
  769. except Exception as e:
  770. if os.path.exists(save_image_path):
  771. try:
  772. os.remove(save_image_path)
  773. except:
  774. pass
  775. return {"success": False, "error": str(e)}
  776. result = await loop.run_in_executor(None, sync_model_task)
  777. # 3. 处理结果并发送消息
  778. if result["success"]:
  779. goods_art_dict_info_item["模特图"] = result["path"]
  780. new_goods_dict[goods_art_no_info]["货号资料"][idx_key] = goods_art_dict_info_item
  781. upper_footer_progress["folder"] = save_image_path.replace("模特图.jpg", "")
  782. await sendAsyncMessage(
  783. msg="模特图处理成功",
  784. goods_arts=[goods_art_no],
  785. status="模特图处理成功",
  786. msg_type="upper_footer_progress",
  787. progress=upper_footer_progress
  788. )
  789. else:
  790. upper_footer_error_progress += 1
  791. goods_art_dict_info_item["模特图"] = ""
  792. new_goods_dict[goods_art_no_info]["货号资料"][idx_key] = goods_art_dict_info_item
  793. upper_footer_progress["status"] = "处理失败"
  794. upper_footer_progress["error"] = upper_footer_error_progress
  795. await sendAsyncMessage(
  796. msg="模特图处理失败",
  797. goods_arts=[goods_art_no],
  798. status="模特图处理失败",
  799. msg_type="upper_footer_progress",
  800. progress=upper_footer_progress
  801. )
  802. status_text = "处理完成" if upper_footer_finish_progress > 0 else "处理失败"
  803. upper_footer_progress = {
  804. "status": status_text,
  805. "current": upper_footer_finish_progress,
  806. "total": upper_footer_total_progress,
  807. "error": upper_footer_error_progress
  808. }
  809. await sendAsyncMessage(
  810. msg="模特图处理结束",
  811. goods_arts=[],
  812. status="模特图处理结束",
  813. msg_type="upper_footer_progress",
  814. progress=upper_footer_progress
  815. )
  816. if new_goods_dict:
  817. return_data_check_before_detail["data"]["goods_no_dict"] = new_goods_dict
  818. return return_data_check_before_detail
  819. async def _process_detail_pages(run_main, return_data_check_before_detail, onlineData,
  820. online_stores, goods_art_no_arrays, handler_result_folder, request_params):
  821. """处理详情页生成和上传"""
  822. # check_for_detail_first_res = run_main.check_for_detail_first_call_back(
  823. # return_data_check_before_detail,request_params
  824. # )
  825. loop = asyncio.get_event_loop()
  826. # 将整个 detail_run_by_thread 放入线程池执行
  827. check_for_detail_first_res = await loop.run_in_executor(
  828. None,
  829. run_main.check_for_detail_first_call_back,
  830. return_data_check_before_detail,
  831. request_params,
  832. # ... 其他参数
  833. )
  834. print("<======>check_for_detail_first_res<======>", check_for_detail_first_res)
  835. if isinstance(check_for_detail_first_res, partial):
  836. try:
  837. result = check_for_detail_first_res()
  838. config_data = result["config_data"]
  839. except:
  840. config_data = result
  841. else:
  842. config_data = check_for_detail_first_res
  843. out_put_dir = config_data.get("out_put_dir")
  844. success_handler = config_data.get("success_handler")
  845. if not out_put_dir:
  846. handler_result_folder = ""
  847. # 处理失败情况
  848. else:
  849. out_put_dir_path = "{}".format(out_put_dir).replace("\\", "/")
  850. handler_result_folder = os.path.dirname(out_put_dir_path)
  851. if handler_result_folder:
  852. handler_result_folder = os.path.dirname(handler_result_folder)
  853. return handler_result_folder, success_handler
  854. async def _upload_to_third_party(onlineData, return_data_check_before_detail,
  855. config_data, online_stores, temp_name):
  856. """上传到第三方平台"""
  857. result_goods_no_dict = return_data_check_before_detail["data"]["goods_no_dict"]
  858. for goods_idx, goods_no_dict in enumerate(result_goods_no_dict.keys()):
  859. all_detail_path_list = config_data["all_detail_path_list"]
  860. for detail_path in all_detail_path_list:
  861. if goods_no_dict in detail_path:
  862. detail_path_replace = detail_path.replace("\\", "/")
  863. result_goods_no_dict[goods_no_dict]["detail_path"] = f"{detail_path_replace}/详情页-{temp_name}.jpg"
  864. upload_total_progress = len(result_goods_no_dict.keys())
  865. upload_finish_progress = 0
  866. upload_error_progress = 0
  867. upload_progress = {
  868. "status": "开始处理",
  869. "current": upload_finish_progress,
  870. "total": upload_total_progress,
  871. "error": upload_error_progress
  872. }
  873. await sendAsyncMessage(
  874. msg="开始上传商品数据",
  875. goods_arts=[],
  876. status="开始上传商品数据",
  877. msg_type="upload_goods_progress",
  878. progress=upload_progress
  879. )
  880. try:
  881. onlineData.uploadGoods2ThirdParty(
  882. result_goods_no_dict, online_stores=online_stores
  883. )
  884. except Exception as e:
  885. upload_error_progress = upload_total_progress
  886. print(f"上传任务出现错误:{e}")
  887. upload_finish_progress = upload_total_progress
  888. if upload_error_progress > 0:
  889. upload_finish_progress = 0
  890. upload_progress = {
  891. "status": "处理完成",
  892. "current": upload_finish_progress,
  893. "total": upload_total_progress,
  894. "error": upload_error_progress
  895. }
  896. await sendAsyncMessage(
  897. msg="商品上传第三方成功",
  898. goods_arts=[],
  899. status="商品上传第三方成功",
  900. msg_type="upload_goods_progress",
  901. progress=upload_progress
  902. )
  903. async def _handle_exception(error_msg, handler_result_folder):
  904. """处理异常情况"""
  905. handler_result = [{"goods_art_no": "", "success": False, "info": error_msg}]
  906. await sendAsyncMessage(
  907. msg="处理结束",
  908. data={"output_folder": handler_result_folder, "list": handler_result},
  909. status="处理结束",
  910. msg_type="detail_result_progress",
  911. )
  912. @app.get("/get_device_tabs", description="获取可执行程序命令列表")
  913. def get_device_tabs(type: int):
  914. session = SqlQuery()
  915. statement = (
  916. select(DeviceConfigTabs)
  917. .where(DeviceConfigTabs.mode_type == type)
  918. .order_by(asc("id"))
  919. )
  920. result = session.exec(statement).all()
  921. sys = CRUD(SysConfigs)
  922. action_configs = sys.read(session, conditions={"key": "action_configs"})
  923. session.close()
  924. return {
  925. "code": 0,
  926. "msg": "",
  927. "data": {"tabs": result, "select_configs": json.loads(action_configs.value)},
  928. }
  929. @app.post("/update_tab_name", description="更改tab名称")
  930. def update_tab_name(params: DeviceConfigTabsReq):
  931. if params.mode_name == "":
  932. return {"code": 1, "msg": "名称不能为空", "data": {}}
  933. session = SqlQuery()
  934. tabModel = CRUD(DeviceConfigTabs)
  935. kwargs = {"mode_name": params.mode_name}
  936. tabModel.updateConditions(session, conditions={"id": params.id}, **kwargs)
  937. session.close()
  938. return {
  939. "code": 0,
  940. "msg": "",
  941. "data": None,
  942. }
  943. @app.post("/get_device_configs", description="获取可执行程序命令列表")
  944. def get_device_configs(params: ModelGetDeviceConfig):
  945. tab_id = params.tab_id
  946. session = SqlQuery()
  947. configModel = CRUD(DeviceConfig)
  948. configList = configModel.read_all(
  949. session,
  950. conditions={"tab_id": tab_id},
  951. order_by="action_index",
  952. ascending=True,
  953. )
  954. session.close()
  955. return {
  956. "code": 0,
  957. "msg": "",
  958. "data": {"list": configList},
  959. }
  960. @app.post("/device_config_detail", description="获取可执行程序详情")
  961. def device_config_detail(params: ModelGetDeviceConfigDetail):
  962. action_id = params.id
  963. session = SqlQuery()
  964. configModel = CRUD(DeviceConfig)
  965. model = configModel.read(session, conditions={"id": action_id})
  966. session.close()
  967. if model == None:
  968. return {"code": 1, "msg": "相关配置不存在,请删除当前货号后重新拍摄", "data": None}
  969. return {"code": 0, "msg": "", "data": model}
  970. @app.post("/device_config_detail_query", description="通过条件获取可执行程序详情")
  971. def device_config_detail_query():
  972. # tab_id = params.tab_id
  973. # action_name = params.action_name
  974. session = SqlQuery()
  975. sys = CRUD(SysConfigs)
  976. action_configs = sys.read(session, conditions={"key": "action_configs"})
  977. action_configs_value = json.loads(action_configs.value)
  978. left_config = action_configs_value.get("left")
  979. configModel = CRUD(DeviceConfig)
  980. model = configModel.read(
  981. session, conditions={"tab_id": left_config, "action_name": "侧视"}
  982. )
  983. if model == None:
  984. model = configModel.read(session, conditions={"tab_id": left_config})
  985. session.close()
  986. return {"code": 0, "msg": "", "data": model}
  987. @app.post("/remove_config", description="删除一条可执行命令")
  988. def get_device_configs(params: ModelGetDeviceConfigDetail):
  989. action_id = params.id
  990. session = SqlQuery()
  991. configModel = CRUD(DeviceConfig)
  992. model = configModel.read(session, conditions={"id": action_id})
  993. if model == None:
  994. return {"code": 1, "msg": "数据不存在", "data": None}
  995. if model.is_system == True:
  996. return {"code": 1, "msg": "系统配置不允许删除", "data": None}
  997. configArray = configModel.read_all(session, conditions={"tab_id": model.tab_id})
  998. if len(configArray) == 1:
  999. return {"code": 1, "msg": "请至少保留一个配置", "data": None}
  1000. configModel.delete(session, obj_id=action_id)
  1001. session.close()
  1002. return {"code": 0, "msg": "删除成功", "data": None}
  1003. @app.post("/save_device_config", description="创建或修改一条可执行命令")
  1004. def save_device_config(params: SaveDeviceConfig):
  1005. action_id = params.id
  1006. session = SqlQuery()
  1007. deviceConfig = CRUD(DeviceConfig)
  1008. if action_id == None or action_id == 0:
  1009. # 走新增逻辑
  1010. params.id = None
  1011. save_device_config = deviceConfig.create(session, obj_in=params)
  1012. else:
  1013. model = deviceConfig.read(session, conditions={"id": action_id})
  1014. if model == None:
  1015. return {"code": 1, "msg": "数据不存在", "data": None}
  1016. # 走编辑逻辑
  1017. kwargs = params.__dict__
  1018. save_device_config = deviceConfig.update(session, obj_id=action_id, **kwargs)
  1019. session.close()
  1020. return {"code": 0, "msg": "操作成功", "data": save_device_config}
  1021. @app.post("/reset_config", description="创建或修改一条可执行命令")
  1022. def reset_config(params: ModelGetDeviceConfig):
  1023. tab_id = params.tab_id
  1024. if tab_id == None or tab_id == "":
  1025. return {"code": 1, "msg": "参数错误", "data": None}
  1026. session = SqlQuery()
  1027. deviceConfig = CRUD(DeviceConfig)
  1028. first_config = deviceConfig.read(session, conditions={"tab_id": tab_id})
  1029. res = deviceConfig.deleteConditions(session, conditions={"tab_id": tab_id})
  1030. if res is False:
  1031. return {"code": 1, "msg": "操作失败", "data": None}
  1032. actions = json.load(open("action.json", encoding="utf-8"))
  1033. for data in actions:
  1034. data["tab_id"] = tab_id
  1035. data["is_system"] = first_config.is_system
  1036. device_config = DeviceConfig(**data)
  1037. session.add(device_config)
  1038. session.commit()
  1039. session.close()
  1040. return {"code": 0, "msg": "操作成功", "data": None}
  1041. @app.get("/get_photo_records", description="获取拍照记录")
  1042. def get_photo_records(page: int = 1, size: int = 5, goods_art_no: str = None):
  1043. session = SqlQuery()
  1044. current_page = page
  1045. # photos = CRUD(PhotoRecord)
  1046. print("准备查询拍摄记录", datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
  1047. # 构建基础查询条件
  1048. base_conditions = [PhotoRecord.delete_time == None]
  1049. if goods_art_no:
  1050. base_conditions.append(PhotoRecord.goods_art_no.like(f"%{goods_art_no}%"))
  1051. # 首先统计总数
  1052. count_statement = select(func.count(PhotoRecord.goods_art_no.distinct())).where(
  1053. *base_conditions
  1054. )
  1055. total_count = session.exec(count_statement).one()
  1056. # 查询所有不重复的货号及对应的最大时间,进行分页
  1057. base_statement = (
  1058. select(PhotoRecord.goods_art_no, func.max(PhotoRecord.id).label("max_id"))
  1059. .where(*base_conditions)
  1060. .group_by(PhotoRecord.goods_art_no)
  1061. .order_by(desc("max_id"))
  1062. .offset((page - 1) * size)
  1063. .limit(size)
  1064. )
  1065. paginated_results = session.exec(base_statement).all()
  1066. # 获取这些货号的详细记录
  1067. list_data = []
  1068. if paginated_results:
  1069. # 获取当前页的货号列表
  1070. current_goods_art_nos = [item.goods_art_no for item in paginated_results]
  1071. # 查询这些货号的所有记录
  1072. query = (
  1073. select(PhotoRecord, DeviceConfig.action_name)
  1074. .outerjoin(DeviceConfig, PhotoRecord.action_id == DeviceConfig.id)
  1075. .where(PhotoRecord.goods_art_no.in_(current_goods_art_nos))
  1076. .where(PhotoRecord.delete_time == None)
  1077. .order_by(asc("image_index")) # 按货号分组并按ID倒序
  1078. )
  1079. all_items = session.exec(query).mappings().all()
  1080. # 按货号分组
  1081. items_by_goods = {}
  1082. for item in all_items:
  1083. # print("all_items", all_items)
  1084. goods_art_no = item.PhotoRecord.goods_art_no
  1085. if goods_art_no not in items_by_goods:
  1086. items_by_goods[goods_art_no] = []
  1087. items_by_goods[goods_art_no].append(item)
  1088. # 构建结果列表,保持分页的顺序
  1089. for item in paginated_results:
  1090. goods_art_no = item.goods_art_no
  1091. if goods_art_no in items_by_goods:
  1092. # 获取该货号下时间最新的记录作为action_time
  1093. latest_record = items_by_goods[goods_art_no][0].PhotoRecord
  1094. extras = latest_record.extras
  1095. # extras 存储的是 json 字符串,解析成对象返回给前端
  1096. if extras:
  1097. try:
  1098. extras = json.loads(extras)
  1099. except (json.JSONDecodeError, TypeError):
  1100. extras = None
  1101. list_data.append(
  1102. {
  1103. "goods_art_no": goods_art_no,
  1104. "action_time": latest_record.create_time,
  1105. "extras": extras,
  1106. "items": items_by_goods[goods_art_no],
  1107. }
  1108. )
  1109. session.close()
  1110. print("循环查询 完成 ", datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
  1111. # 计算分页信息
  1112. total_pages = (total_count + size - 1) // size # 向上取整
  1113. has_prev = page > 1
  1114. has_next = page < total_pages
  1115. return {
  1116. "code": 0,
  1117. "msg": "",
  1118. "data": {
  1119. "list": list_data,
  1120. "current_page": current_page,
  1121. "size": size,
  1122. "total_count": total_count,
  1123. "total_pages": total_pages,
  1124. "has_prev": has_prev,
  1125. "has_next": has_next
  1126. },
  1127. }
  1128. @app.get("/get_last_photo_record", description="获取最后一条拍照记录")
  1129. def get_last_photo_record():
  1130. session = SqlQuery()
  1131. statement = (
  1132. select(PhotoRecord)
  1133. .where(PhotoRecord.image_path != None)
  1134. .where(PhotoRecord.delete_time == None)
  1135. .order_by(desc("photo_create_time"))
  1136. )
  1137. result = session.exec(statement).first()
  1138. session.close()
  1139. return {
  1140. "code": 0,
  1141. "msg": "",
  1142. "data": result,
  1143. }
  1144. @app.get("/get_photo_record_detail", description="通过货号获取拍照记录详情")
  1145. def get_photo_record_detail(goods_art_no: str = None):
  1146. if goods_art_no == None:
  1147. return {"code": 1, "msg": "参数错误", "data": None}
  1148. session = SqlQuery()
  1149. photos = CRUD(PhotoRecord)
  1150. items = photos.read_all(session, conditions={"goods_art_no": goods_art_no, "delete_time": None})
  1151. session.close()
  1152. return {
  1153. "code": 0,
  1154. "msg": "",
  1155. "data": {"list": items},
  1156. }
  1157. @app.get("/get_action_names_by_goods", description="通过货号获取动作名称列表")
  1158. def get_action_names_by_goods(goods_art_no: str = None):
  1159. """
  1160. 通过货号查询PhotoRecord表,按自然排序获取action_id,
  1161. 再查询DeviceConfig获取对应的action_name,按顺序返回action_name数组
  1162. Args:
  1163. goods_art_no: 货号
  1164. Returns:
  1165. 如果货号不存在: {"code": 1, "msg": "货号不存在", "data": None}
  1166. 如果货号存在: {"code": 0, "msg": "", "data": [action_name1, action_name2, ...]}
  1167. """
  1168. if goods_art_no is None or goods_art_no.strip() == "":
  1169. return {"code": 1, "msg": "参数错误", "data": None}
  1170. session = SqlQuery()
  1171. try:
  1172. # 1. 查询该货号的所有记录
  1173. photos = CRUD(PhotoRecord)
  1174. photo_records = photos.read_all(
  1175. session,
  1176. conditions={"goods_art_no": goods_art_no, "delete_time": None}
  1177. )
  1178. # 2. 如果货号不存在,返回错误
  1179. if not photo_records or len(photo_records) == 0:
  1180. return {"code": 1, "msg": "货号不存在", "data": None}
  1181. # 3. 按自然排序对记录进行排序(基于image_index或其他字段)
  1182. # 使用natsort对image_index进行自然排序
  1183. from natsort import natsorted, ns
  1184. # 将记录转换为可排序的列表,按image_index排序
  1185. sorted_records = natsorted(
  1186. photo_records,
  1187. key=lambda x: str(x.image_index) if x.image_index is not None else "",
  1188. alg=ns.PATH | ns.IGNORECASE
  1189. )
  1190. # 4. 提取排序后的action_id列表
  1191. action_ids = [record.action_id for record in sorted_records if record.action_id is not None]
  1192. if not action_ids:
  1193. return {"code": 0, "msg": "", "data": []}
  1194. # 5. 根据action_id查询DeviceConfig获取action_name
  1195. device_config_crud = CRUD(DeviceConfig)
  1196. action_names = []
  1197. for action_id in action_ids:
  1198. device_config = device_config_crud.read(
  1199. session,
  1200. conditions={"id": action_id, 'take_picture': True}
  1201. )
  1202. if device_config and device_config.action_name:
  1203. action_names.append(device_config.action_name)
  1204. return {"code": 0, "msg": "", "data": action_names}
  1205. except Exception as e:
  1206. logger.error(f"查询货号 {goods_art_no} 的动作名称失败: {str(e)}")
  1207. return {"code": 1, "msg": f"查询失败: {str(e)}", "data": None}
  1208. finally:
  1209. session.close()
  1210. @app.post("/delect_goods_arts", description="通过货号删除记录")
  1211. def delect_goods_arts(params: PhotoRecordDelete):
  1212. limit_path = "{}/{}".format(settings.OUTPUT_DIR,
  1213. time.strftime("%Y-%m-%d", time.localtime(time.time()))
  1214. )
  1215. handlerFolderDelete(limit_path, params.goods_art_nos, False)
  1216. session = SqlQuery()
  1217. photos = CRUD(PhotoRecord)
  1218. for item in params.goods_art_nos:
  1219. settings.syncPhotoRecord({"goods_art_no": item}, action_type=2)
  1220. photos.deleteConditions(session, conditions={"goods_art_no": item, "delete_time": None})
  1221. session.close()
  1222. return {
  1223. "code": 0,
  1224. "msg": "操作成功",
  1225. "data": None,
  1226. }
  1227. @app.post("/delete_all_goods_arts", description="删除所有拍照记录")
  1228. def delete_all_goods_arts():
  1229. """
  1230. 删除数据库中所有未删除的拍照记录,并清理对应的文件目录
  1231. """
  1232. session = SqlQuery()
  1233. try:
  1234. # 1. 获取所有存在的货号
  1235. photos = CRUD(PhotoRecord)
  1236. # 查询所有 distinct 的 goods_art_no
  1237. statement = select(PhotoRecord.goods_art_no).where(PhotoRecord.delete_time == None).distinct()
  1238. all_goods_art_nos = session.exec(statement).all()
  1239. if not all_goods_art_nos:
  1240. raise UnicornException("没有可删除的货号")
  1241. # 2. 清理文件目录 (复用现有的 handlerFolderDelete 逻辑)
  1242. # limit_path = "{}/{}".format(settings.OUTPUT_DIR,
  1243. # time.strftime("%Y-%m-%d", time.localtime(time.time()))
  1244. # )
  1245. # 注意:handlerFolderDelete 内部可能涉及大量IO操作,如果数据量极大可能需要异步或后台任务
  1246. # 这里保持同步以符合原接口风格,但需注意超时风险
  1247. # handlerFolderDelete(limit_path, list(all_goods_art_nos), False)
  1248. # 3. 同步线上状态 (如果需要)
  1249. settings.syncBatchPhotoRecordDelete()
  1250. # 4. 批量删除数据库记录
  1251. # 使用 deleteConditions 一次性删除所有符合条件的记录,比循环删除效率高
  1252. photos.deleteConditions(session, conditions={"delete_time": None})
  1253. session.commit() # 确保事务提交
  1254. return {
  1255. "code": 0,
  1256. "msg": f"成功删除 {len(all_goods_art_nos)} 个货号的所有记录",
  1257. "data": None,
  1258. }
  1259. except Exception as e:
  1260. session.rollback()
  1261. logger.error(f"删除所有记录失败: {str(e)}")
  1262. raise UnicornException(f"删除失败: {str(e)}")
  1263. finally:
  1264. session.close()
  1265. def query_config_by_key(key_name):
  1266. """
  1267. 在sys_configs.json格式的数据中查询指定的key,如果匹配则返回整个对象
  1268. Args:
  1269. key_name (str): 要查询的key名称
  1270. Returns:
  1271. dict or None: 匹配的对象或None(如果没有找到)
  1272. """
  1273. try:
  1274. # 获取所有配置数据
  1275. configs = json.load(open("sys_configs.json", encoding="utf-8"))
  1276. # 遍历配置数据查找匹配的key
  1277. for config in configs:
  1278. if config.get("key") == key_name:
  1279. return config
  1280. return None
  1281. except Exception as e:
  1282. print(f"查询配置时出错: {e}")
  1283. return None
  1284. @app.get("/get_sys_config", description="查询系统配置")
  1285. def get_sys_config(key: str = None):
  1286. if key == None:
  1287. return {"code": 1, "msg": "参数错误", "data": None}
  1288. session = SqlQuery()
  1289. photos = CRUD(SysConfigs)
  1290. item = photos.read(session, conditions={"key": key})
  1291. search_data = None if item == None else json.loads(item.value)
  1292. if search_data == None:
  1293. sys_config_json = query_config_by_key(key)
  1294. if sys_config_json != None:
  1295. config = SysConfigs(**sys_config_json)
  1296. session.add(config)
  1297. session.commit() # 合并事务提交
  1298. search_data = json.loads(sys_config_json.get("value"))
  1299. session.close()
  1300. return {
  1301. "code": 0,
  1302. "msg": "",
  1303. "data": search_data,
  1304. }
  1305. @app.post("/update_left_right_config", description="更新左右脚配置")
  1306. def update_left_right_config(params: LeftRightParams):
  1307. session = SqlQuery()
  1308. sysConfig = CRUD(SysConfigs)
  1309. model = sysConfig.read(session, conditions={"key": "action_configs"})
  1310. if model == None:
  1311. return {"code": 1, "msg": "配置不存在", "data": None}
  1312. config_value = json.loads(model.value)
  1313. config_value[params.type] = params.id
  1314. update_value = json.dumps(config_value)
  1315. # 走编辑逻辑
  1316. kwargs = {"key": "action_configs", "value": update_value}
  1317. save_device_config = sysConfig.updateConditions(
  1318. session, conditions={"key": "action_configs"}, **kwargs
  1319. )
  1320. session.close()
  1321. return {"code": 0, "msg": "操作成功", "data": None}
  1322. @app.post("/update_record", description="更新拍照记录")
  1323. def update_record(params: RecordUpdate):
  1324. session = SqlQuery()
  1325. photoRecord = CRUD(PhotoRecord)
  1326. model = photoRecord.read(session, conditions={"id": params.id, "delete_time": None})
  1327. if model == None:
  1328. return {"code": 1, "msg": "记录不存在", "data": None}
  1329. kwargs = params.__dict__
  1330. save_device_config = photoRecord.update(session, obj_id=params.id, **kwargs)
  1331. session.close()
  1332. return {"code": 0, "msg": "操作成功", "data": save_device_config}
  1333. @app.post("/update_sys_configs", description="创建或修改系统配置")
  1334. def save_sys_configs(params: SysConfigParams):
  1335. session = SqlQuery()
  1336. sysConfig = CRUD(SysConfigs)
  1337. model = sysConfig.read(session, conditions={"key": params.key})
  1338. if model == None:
  1339. return {"code": 1, "msg": "配置不存在", "data": None}
  1340. # 走编辑逻辑
  1341. kwargs = params.__dict__
  1342. save_device_config = sysConfig.updateConditions(
  1343. session, conditions={"key": params.key}, **kwargs
  1344. )
  1345. session.close()
  1346. return {"code": 0, "msg": "操作成功", "data": save_device_config}
  1347. @app.post("/create_main_image", description="创建主图测试")
  1348. def create_main_image(params: MaineImageTest):
  1349. file_path = params.file_path
  1350. onePic = OnePicTest(pic_path=file_path)
  1351. main_out_path = onePic.HandlerMainImage()
  1352. return {"code": 0, "msg": "操作成功", "data": {"main_out_path": main_out_path}}
  1353. def insertEmptyLogoList(session):
  1354. """插入空logo列表"""
  1355. data = {"key": "logo_configs", "value": "[]"}
  1356. config = SysConfigs(**data)
  1357. session.add(config)
  1358. session.commit()
  1359. item = SysConfigs()
  1360. item.key = "logo_configs"
  1361. item.value = "[]"
  1362. return item
  1363. @app.get("/logo_list", description="logo列表")
  1364. def logo_list():
  1365. logo_dir = "{}/data/logo/".format(os.getcwd()).replace("\\", "/")
  1366. check_path(logo_dir)
  1367. logo_files = os.listdir(logo_dir)
  1368. logo_list = []
  1369. for logoItem in logo_files:
  1370. logo_list.append(f"{logo_dir}{logoItem}")
  1371. return {"code": 0, "msg": "操作成功", "data": logo_list}
  1372. @app.post("/add_logo", description="添加logo")
  1373. def add_logo(params: LogoParams):
  1374. logo_path = params.logo_path.replace("\\", "/")
  1375. session = SqlQuery()
  1376. sysConfig = CRUD(SysConfigs)
  1377. item = sysConfig.read(session, conditions={"key": "logo_configs"})
  1378. if item == None:
  1379. item = insertEmptyLogoList(session)
  1380. if os.path.isfile(logo_path) == False:
  1381. return {"code": 1, "msg": "logo文件不存在", "data": None}
  1382. logo_dir = "{}/data/logo/".format(os.getcwd()).replace("\\", "/")
  1383. check_path(logo_dir)
  1384. session.close()
  1385. fpath, fname = os.path.split(logo_path)
  1386. logo_path_info = logo_dir + fname
  1387. shutil.copy(logo_path, logo_path_info) # 复制文件
  1388. logo_files = os.listdir(logo_dir)
  1389. logo_list = []
  1390. for logoItem in logo_files:
  1391. logo_list.append(f"{logo_dir}{logoItem}")
  1392. return {
  1393. "code": 0,
  1394. "msg": "",
  1395. "data": {"logo": logo_path_info},
  1396. }
  1397. @app.post("/delete_logo", description="删除logo")
  1398. def delete_logo(params: LogoParamsupdate):
  1399. logo_path = params.path
  1400. if os.path.isfile(logo_path) == False:
  1401. return {"code": 1, "msg": "logo文件不存在", "data": None}
  1402. os.remove(logo_path)
  1403. logo_dir = "{}/data/logo/".format(os.getcwd()).replace("\\", "/")
  1404. check_path(logo_dir)
  1405. logo_files = os.listdir(logo_dir)
  1406. logo_list = []
  1407. for logoItem in logo_files:
  1408. logo_list.append(f"{logo_dir}{logoItem}")
  1409. return {"code": 0, "msg": "操作成功", "data": logo_list}
  1410. @app.post("/close_other_window", description="关闭窗口")
  1411. def close_other_window():
  1412. hwnd_list = []
  1413. def callback(hwnd, _):
  1414. title = GetWindowText(hwnd)
  1415. if title == "digiCamControl by Duka Istvan":
  1416. hwnd_list.append(hwnd)
  1417. EnumWindows(callback, None)
  1418. if hwnd_list:
  1419. hwnd = hwnd_list[0]
  1420. win32gui.PostMessage(hwnd, win32con.WM_CLOSE, 0, 0)
  1421. return {"code": 0, "msg": "关闭成功", "data": {"status": True}}
  1422. return {"code": 0, "msg": "关闭失败", "data": {"status": False}}
  1423. def syncUserJsonConfigs(token):
  1424. hlm_token = token
  1425. headers = {
  1426. "Authorization": f"Bearer {hlm_token}",
  1427. "content-type": "application/json",
  1428. }
  1429. # 追加配置参数 machine_type 拍照机设备类型;0鞋;1服装
  1430. url = settings.DOMAIN + f"/api/ai_image/camera_machine/get_all_user_configs?machine_type={MACHINE_TYPE}"
  1431. result = requests.get(url=url, headers=headers)
  1432. sys_configs = result.json().get("data", {}).get("configs")
  1433. session = SqlQuery()
  1434. sysConfigs = CRUD(SysConfigs)
  1435. if sys_configs:
  1436. sysConfigs.deleteConditions(session, {})
  1437. configList = []
  1438. for config_keys in sys_configs.keys():
  1439. sys_configs[config_keys]
  1440. configList.append(
  1441. {
  1442. "key": config_keys,
  1443. "value": json.dumps(sys_configs[config_keys], ensure_ascii=False),
  1444. }
  1445. )
  1446. batch_insert_sys_configs(session, configList)
  1447. session.close()
  1448. @app.post("/sync_sys_configs", description="同步线上配置到本地")
  1449. def sync_sys_configs(params: SyncLocalConfigs):
  1450. hlm_token = params.token
  1451. env = params.env
  1452. settings.USER_TOKEN = hlm_token
  1453. settings.USER_ENV = env
  1454. settings.USER_CAMERAS = params.camera_counts
  1455. headers = {
  1456. "Authorization": f"Bearer {hlm_token}",
  1457. "content-type": "application/json",
  1458. }
  1459. # 追加配置参数 machine_type 拍照机设备类型;0鞋;1服装
  1460. url = settings.getDoman(env) + f"/api/ai_image/camera_machine/get_all_user_configs?machine_type={MACHINE_TYPE}"
  1461. result = requests.get(url=url, headers=headers)
  1462. sys_configs = result.json().get("data", {}).get("configs")
  1463. session = SqlQuery()
  1464. sysConfigs = CRUD(SysConfigs)
  1465. if sys_configs:
  1466. sysConfigs.deleteConditions(session, {})
  1467. configList = []
  1468. for config_keys in sys_configs.keys():
  1469. sys_configs[config_keys]
  1470. configList.append(
  1471. {
  1472. "key": config_keys,
  1473. "value": json.dumps(sys_configs[config_keys], ensure_ascii=False),
  1474. }
  1475. )
  1476. batch_insert_sys_configs(session, configList)
  1477. else:
  1478. all_configs = sysConfigs.read_all(session)
  1479. localConfigData = {}
  1480. for local_config in all_configs:
  1481. localConfigData[local_config.key] = json.loads(local_config.value)
  1482. data_json = json.dumps({"configs": localConfigData, "machine_type": MACHINE_TYPE}, ensure_ascii=False)
  1483. # 同步本地到线上
  1484. url = settings.DOMAIN + "/api/ai_image/camera_machine/update_all_user_configs"
  1485. requests.post(url=url, headers=headers, data=data_json)
  1486. session.close()
  1487. return {"code": 0, "msg": "操作成功", "data": None}
  1488. @app.post("/sync_actions", description="同步左右脚配置到本地")
  1489. def sync_action_configs(params: SyncLocalConfigs):
  1490. hlm_token = params.token
  1491. env = params.env
  1492. settings.USER_TOKEN = hlm_token
  1493. settings.USER_ENV = env
  1494. settings.USER_CAMERAS = params.camera_counts
  1495. headers = {
  1496. "Authorization": f"Bearer {hlm_token}",
  1497. "content-type": "application/json",
  1498. }
  1499. url = settings.getDoman(env) + f"/api/ai_image/camera_machine/get_all_user_tabs?machine_type={MACHINE_TYPE}"
  1500. result = requests.get(url=url, headers=headers)
  1501. session = SqlQuery()
  1502. deviceConfigs = CRUD(DeviceConfig)
  1503. deviceConfigTabs = CRUD(DeviceConfigTabs)
  1504. tabs = result.json().get("data", {}).get("tabs")
  1505. actions = result.json().get("data", {}).get("actions")
  1506. if tabs:
  1507. # 先删除再创建
  1508. deviceConfigTabs.deleteConditions(session, {})
  1509. deviceConfigs.deleteConditions(session, {}, False)
  1510. batch_insert_device_configsNew(session, tabs, actions)
  1511. else:
  1512. all_actions = deviceConfigs.read_all(session)
  1513. all_tabs = deviceConfigTabs.read_all(session)
  1514. all_tabs_json = [item.model_dump(mode='json') for item in all_tabs]
  1515. all_actions_json = [item.model_dump(mode="json") for item in all_actions]
  1516. data_json = json.dumps(
  1517. {"tabs": all_tabs_json, "actions": all_actions_json, "machine_type": MACHINE_TYPE}, ensure_ascii=False
  1518. )
  1519. sync_url = settings.DOMAIN + "/api/ai_image/camera_machine/sync_actions"
  1520. result = requests.post(url=sync_url, headers=headers, data=data_json)
  1521. print("result<><><>", result.content)
  1522. tabs = result.json().get("data", {}).get("tabs")
  1523. actions = result.json().get("data", {}).get("actions")
  1524. insert_action_ids = result.json().get("data", {}).get("insert_action_ids")
  1525. if tabs:
  1526. deviceConfigTabs.deleteConditions(session, {})
  1527. deviceConfigs.deleteConditions(session, {})
  1528. batch_insert_device_configsNew(session, tabs, actions)
  1529. if insert_action_ids:
  1530. for action_item in insert_action_ids:
  1531. photos = CRUD(PhotoRecord)
  1532. old_id = action_item.get("old_id")
  1533. new_id = action_item.get("new_id")
  1534. kwargs = {"action_id": new_id}
  1535. photos.updateConditionsAll(
  1536. session, conditions={"action_id": old_id}, **kwargs
  1537. )
  1538. # 因为左右脚线上id可能会发生变化 所以需要重新同步一下本地得配置信息
  1539. # syncUserJsonConfigs(hlm_token)
  1540. session.close()
  1541. return {"code": 0, "msg": "操作成功", "data": None}
  1542. @app.get("/get_goods_image_json", description="关闭窗口")
  1543. def get_goods_image_json(goods_art_no: str, token: str):
  1544. remove_pic_ins = RemoveBgALi()
  1545. if goods_art_no == None or goods_art_no == "":
  1546. # 判断货号是否存在
  1547. raise UnicornException("货号不能为空")
  1548. session = SqlQuery()
  1549. photoRecord = CRUD(PhotoRecord)
  1550. goods_art_record = photoRecord.read_all(
  1551. session, conditions={"goods_art_no": goods_art_no, "delete_time": None}
  1552. )
  1553. if not goods_art_record:
  1554. raise UnicornException("该货号拍摄记录不存在")
  1555. action_id_array = [record.action_id for record in goods_art_record]
  1556. devices = CRUD(DeviceConfig)
  1557. devices_record = devices.read_all(session, conditions={"id": action_id_array})
  1558. # 提取 action_name 字段并拼接
  1559. action_names = [str(record.action_name) for record in devices_record]
  1560. action_names_str = ",".join(action_names)
  1561. image_arrays = []
  1562. for goods_art_record_item in goods_art_record:
  1563. image_path = goods_art_record_item.image_path
  1564. try:
  1565. image_url = uploadImage(remove_pic_ins=remove_pic_ins, token=token, local_path=image_path)
  1566. except Exception as e:
  1567. raise UnicornException("网络异常,请重试")
  1568. image_arrays.append(image_url)
  1569. session.close()
  1570. return {"code": 0, "msg": "关闭失败",
  1571. "data": {"customer_template_images": image_arrays, "template_image_order": action_names_str}}
  1572. def uploadImage(remove_pic_ins, token: str, local_path: str) -> str:
  1573. im = remove_pic_ins.get_image_cut_new(file_path=local_path)
  1574. post_headers = {"Authorization": "Bearer " + token}
  1575. url = settings.DOMAIN + "/api/upload"
  1576. resultData = requests.post(
  1577. url, files={"file": im}, headers=post_headers
  1578. ).json()
  1579. return resultData["data"]["url"]
  1580. @app.post("/remove_background", description="图片抠图-http请求")
  1581. async def remove_background(params: PhotoRecordRemoveBackground):
  1582. # await socket_manager.send_message(msg="测试")
  1583. executor = ThreadPoolExecutor(max_workers=4)
  1584. obj = None
  1585. token = params.token
  1586. token = "Bearer " + token
  1587. uuid = mine_uuid.uuid4().hex
  1588. run_main = RunMain(obj, token, uuid)
  1589. goods_art_no_arrays = params.goods_art_nos
  1590. limit_path = "{}/{}".format(settings.OUTPUT_DIR,
  1591. time.strftime("%Y-%m-%d", time.localtime(time.time()))
  1592. )
  1593. try:
  1594. move_folder_array = handlerFolderDelete(limit_path, goods_art_no_arrays, True)
  1595. except UnicornException as e:
  1596. raise UnicornException(e.msg)
  1597. # 该数组表示是否需要后面的移动文件夹操作,减少重复抠图,提升抠图时间和速度
  1598. session = SqlQuery()
  1599. for goods_art_no in goods_art_no_arrays:
  1600. pr = CRUD(PhotoRecord)
  1601. images = pr.read_all(session, conditions={"goods_art_no": goods_art_no, "delete_time": None})
  1602. if not images:
  1603. raise UnicornException(f"商品货号【{goods_art_no}】在商品档案资料中不存在,请检查货号是否正确")
  1604. if move_folder_array.get(goods_art_no) == None:
  1605. image_dir = "{}/data/".format(os.getcwd()).replace("\\", "/")
  1606. check_path(image_dir)
  1607. for idx, itemImg in enumerate(images):
  1608. if itemImg.image_path == "" or itemImg.image_path == None:
  1609. raise UnicornException(f"货号【{goods_art_no}】存在没有拍摄完成的图片,请重拍或删除后重试")
  1610. # new_file_name = (
  1611. # str(idx)+"_"+str(itemImg.goods_art_no) + "_" + str(idx) + ".jpg"
  1612. # )
  1613. # if not os.path.exists(
  1614. # image_dir + "/" + os.path.basename(new_file_name)
  1615. # ):
  1616. # shutil.copy(itemImg.image_path, image_dir + new_file_name)
  1617. dealImage = DealImage(image_dir)
  1618. resFlag, path = dealImage.dealMoveImageV2(
  1619. goods_art_no=goods_art_no,
  1620. )
  1621. if not resFlag:
  1622. raise UnicornException(f"抠图操作异常,请检查目录是否存在,或者权限不足")
  1623. session.close()
  1624. # try:
  1625. cutout_mode = settings.getSysConfigs("other_configs", "cutout_mode", "普通抠图")
  1626. match cutout_mode:
  1627. case "普通抠图":
  1628. cutOutMode = "1"
  1629. case "精细化抠图":
  1630. cutOutMode = "2"
  1631. case "旗舰AI抠图":
  1632. cutOutMode = "3"
  1633. case "旗舰AI抠图-精细":
  1634. cutOutMode = "4"
  1635. case "旗舰AI抠图-透明物品":
  1636. cutOutMode = "5"
  1637. case _:
  1638. cutOutMode = "1"
  1639. config_data = {
  1640. "image_dir": limit_path,
  1641. "image_order": (
  1642. "俯视,侧视,后跟,鞋底,内里,组合,组合2,组合3,组合4,组合5,组合6,组合7,组合8,组合9,组合10,组合11,组合12,组合13,组合14,组合15,组合16,组合17,组合18,组合19,组合20,组合21,组合22,组合23,组合24,组合25,组合26"
  1643. ),
  1644. "goods_art_no": "",
  1645. "goods_art_nos": goods_art_no_arrays,
  1646. "is_check_number": False,
  1647. "resize_image_view": "后跟",
  1648. "cutout_mode": cutOutMode,
  1649. "logo_path": "",
  1650. "special_goods_art_no_folder_line": "",
  1651. "is_use_excel": False, # 是否使用excel
  1652. "excel_path": "", # excel路径
  1653. "is_check_color_is_all": False,
  1654. "cutout_is_pass": True,
  1655. "assigned_page_dict": {},
  1656. "detail_is_pass": True,
  1657. "upload_is_pass": False,
  1658. "upload_is_enable": settings.IS_UPLOAD_HLM, # 是否上传到惠利玛商品库,通过config.ini得is_upload开启
  1659. "is_filter": False,
  1660. "temp_class": {},
  1661. "temp_name": "",
  1662. "temp_name_list": [],
  1663. "target_error_folder": f"{limit_path}/软件-生成详情错误",
  1664. "success_handler": [],
  1665. }
  1666. try:
  1667. loop = asyncio.get_event_loop()
  1668. return_data = await loop.run_in_executor(
  1669. executor, partial(run_main.check_before_cutout, config_data)
  1670. )
  1671. cutout_res = await loop.run_in_executor(
  1672. executor,
  1673. partial(run_main.check_for_cutout_image_first_call_back, return_data),
  1674. )
  1675. handler_result = []
  1676. have_handler_keys = move_folder_array.keys()
  1677. if cutout_res:
  1678. handler_result_folder = f"{config_data['image_dir']}"
  1679. for goods_art_item in goods_art_no_arrays:
  1680. handler_result.append({
  1681. "goods_art_no": goods_art_item,
  1682. "success": True,
  1683. "info": "处理成功",
  1684. })
  1685. else:
  1686. return {"code": 1, "message": "抠图失败", "data": None}
  1687. if len(have_handler_keys) == len(goods_art_no_arrays) or (len(have_handler_keys) == 0 and cutout_res):
  1688. handler_result_folder = handler_result_folder.replace("\\", "/")
  1689. success_items = [item for item in handler_result if item.get('success') == True]
  1690. cutout_folder = handler_result_folder + "/" + success_items[0].get("goods_art_no") + "/800x800" if len(
  1691. success_items) > 0 else ""
  1692. progress = {
  1693. "status": "处理完成",
  1694. "current": len(goods_art_no_arrays),
  1695. "total": len(goods_art_no_arrays),
  1696. "error": 0,
  1697. "folder": cutout_folder,
  1698. }
  1699. return {"code": 0, "message": "抠图完成",
  1700. "data": {"output_folder": handler_result_folder, "list": handler_result, "progress": progress}}
  1701. except UnicornException as e:
  1702. raise UnicornException(e.msg)
  1703. except Exception as e:
  1704. print("error", e)
  1705. raise UnicornException(f"抠图异常,请稍后重试:{e}")
  1706. @app.post("/syncPhotoRecord", description="同步本地拍照记录-和output目录")
  1707. async def syncPhotoRecord(params: SyncPhotoRecord):
  1708. # 查询所有不重复的货号及对应的最大时间,进行分页
  1709. settings.USER_TOKEN = params.token
  1710. settings.USER_ENV = params.env
  1711. settings.USER_CAMERAS = params.camera_counts
  1712. syncStatus = settings.checkRecordSyncStatus()
  1713. if syncStatus == True:
  1714. # 同步过就无需再同步
  1715. return {"code": 0, "message": "同步完成", "data": None}
  1716. session = SqlQuery()
  1717. base_statement = (
  1718. select(PhotoRecord)
  1719. .where(PhotoRecord.delete_time == None)
  1720. )
  1721. paginated_results = session.exec(base_statement).all()
  1722. def model_to_dict(model):
  1723. """将SQLAlchemy模型对象转换为字典,排除_sa_instance_state"""
  1724. result = {}
  1725. for column in model.__table__.columns:
  1726. result[column.name] = getattr(model, column.name)
  1727. return result
  1728. json_results = []
  1729. for result in paginated_results:
  1730. # 使用自定义函数将SQLAlchemy对象转换为字典
  1731. json_results.append(model_to_dict(result))
  1732. # 最终转换为JSON字符串
  1733. settings.syncPhotoRecord(json_results, action_type=0)
  1734. session.close()
  1735. return {"code": 0, "message": "同步完成", "data": None}
  1736. def copy_directory_walk(src, dst):
  1737. """
  1738. 使用 os.walk() 遍历并复制目录
  1739. """
  1740. for root, dirs, files in os.walk(src):
  1741. # 计算相对路径
  1742. rel_path = os.path.relpath(root, src)
  1743. dst_dir = os.path.join(dst, rel_path) if rel_path != '.' else dst
  1744. # 创建目标目录
  1745. if not os.path.exists(dst_dir):
  1746. os.makedirs(dst_dir)
  1747. # 复制文件
  1748. for file in files:
  1749. src_file = os.path.join(root, file)
  1750. dst_file = os.path.join(dst_dir, file)
  1751. shutil.copy2(src_file, dst_file)
  1752. def rename_file_safe(src, dst, overwrite=True):
  1753. """
  1754. 安全地重命名文件
  1755. Args:
  1756. src: 源文件路径
  1757. dst: 新文件路径
  1758. overwrite: 是否覆盖已存在的文件
  1759. """
  1760. try:
  1761. # 检查源文件是否存在
  1762. if not os.path.exists(src):
  1763. return False, f"源文件 {src} 不存在"
  1764. # 检查目标文件是否存在
  1765. if os.path.exists(dst) and not overwrite:
  1766. return False, f"目标文件 {dst} 已存在,设置 overwrite=True 以覆盖"
  1767. # 执行重命名
  1768. os.rename(src, dst)
  1769. return True, f"文件已成功从 {src} 重命名为 {dst}"
  1770. except OSError as e:
  1771. return False, f"重命名失败: {str(e)}"
  1772. @app.post("/rename_shadow_folder", description="同步本地拍照记录-和output目录")
  1773. async def rename_shadow_folder(params: RenameShadow):
  1774. # 货号数组
  1775. goods_art_nos = params.goods_art_nos
  1776. # for goods_art_no in goods_art_nos:
  1777. # 查询这些货号的所有记录
  1778. goods_art_dict = {}
  1779. for goods in goods_art_nos:
  1780. query = (
  1781. select(PhotoRecord, DeviceConfig.action_name)
  1782. .outerjoin(DeviceConfig, PhotoRecord.action_id == DeviceConfig.id)
  1783. .where(PhotoRecord.goods_art_no.in_(goods_art_nos))
  1784. .where(PhotoRecord.delete_time == None)
  1785. .order_by(PhotoRecord.goods_art_no, asc("id")) # 按货号分组并按ID倒序
  1786. )
  1787. all_items = session.exec(query).mappings().all()
  1788. if len(all_items) == 0: # 如果没有记录则返回
  1789. # raise UnicornException("暂无可用货号")
  1790. continue
  1791. goods_art_rename_list = []
  1792. for item in all_items:
  1793. if item["action_name"] == None:
  1794. continue
  1795. data = {"goods_art_no": item.PhotoRecord.goods_art_no, "action_name": item["action_name"],
  1796. "image_index": item.PhotoRecord.image_index}
  1797. goods_art_rename_list.append(data)
  1798. goods_art_dict[goods] = goods_art_rename_list
  1799. outputDir = settings.OUTPUT_DIR
  1800. if not os.path.exists(outputDir):
  1801. raise UnicornException(f"生成目录[{outputDir}]暂无文件,请拍摄或抠图后处理")
  1802. outputList = os.listdir(outputDir)
  1803. success_result = []
  1804. for firstDir in outputList:
  1805. secondPath = f"{outputDir}\\{firstDir}"
  1806. for goodsArt in goods_art_dict:
  1807. goods_art_no_obj = goods_art_dict[goodsArt]
  1808. goodsArtPath = f"{secondPath}\\{goodsArt}"
  1809. if not os.path.exists(goodsArtPath):
  1810. continue
  1811. renameSrcPath = f"{goodsArtPath}\\阴影图处理"
  1812. renameDstPath = f"{goodsArtPath}\\阴影图处理-重命名"
  1813. if not os.path.exists(renameSrcPath):
  1814. print("阴影图目录不存在...", "不处理")
  1815. continue
  1816. if len(os.listdir(renameSrcPath)) == 0:
  1817. print("阴影图处理目录无内容...", "不处理")
  1818. continue
  1819. if not os.path.exists(renameDstPath):
  1820. try:
  1821. copy_directory_walk(renameSrcPath, renameDstPath)
  1822. except Exception as e:
  1823. print("重命名失败", e)
  1824. continue
  1825. dstPath = os.listdir(renameDstPath)
  1826. for dts_files in dstPath:
  1827. for goods_obj in goods_art_no_obj:
  1828. goods_art_no_name = goods_obj["goods_art_no"]
  1829. image_index = goods_obj["image_index"]
  1830. action_name = goods_obj["action_name"]
  1831. image_index += 1
  1832. basic_name = f"{goods_art_no_name}({image_index})"
  1833. if basic_name in dts_files:
  1834. if "抠图" in dts_files:
  1835. is_ok, msg = rename_file_safe(f"{renameDstPath}\\{dts_files}",
  1836. f"{renameDstPath}\\{basic_name}_{action_name}_抠图.png")
  1837. print(is_ok, msg)
  1838. if "阴影" in dts_files:
  1839. is_ok, msg = rename_file_safe(f"{renameDstPath}\\{dts_files}",
  1840. f"{renameDstPath}\\{basic_name}_{action_name}_阴影.png")
  1841. print(is_ok, msg)
  1842. print("goods_obj", goods_obj)
  1843. success_result.append({"goods_art_no": goodsArt, "path": renameDstPath})
  1844. return {"code": 0, "message": "重命名完成", "data": {"result": success_result}}
  1845. @app.get("/minimize_window", description="最小化窗口")
  1846. def minimize_window(window_title: str):
  1847. hwnd_list = []
  1848. if window_title == "" or window_title == None:
  1849. window_title = "Smart Shooter"
  1850. window_title = window_title.lower()
  1851. def callback(hwnd, _):
  1852. try:
  1853. title = GetWindowText(hwnd)
  1854. if not title:
  1855. return True
  1856. title = title.lower()
  1857. if window_title in title or title == window_title:
  1858. hwnd_list.append(hwnd)
  1859. except Exception as e:
  1860. print("最小化异常", e)
  1861. pass
  1862. return True
  1863. EnumWindows(callback, None)
  1864. # print("hwnd_list", hwnd_list)
  1865. if hwnd_list:
  1866. for hwnd in hwnd_list:
  1867. win32gui.ShowWindow(hwnd, win32con.SW_MINIMIZE)
  1868. return {"code": 0, "msg": "最小化成功", "data": {"status": True}}
  1869. return {"code": 0, "msg": "最小化失败", "data": {"status": False}}
  1870. def _sync_import_images_logic(dir_path: str, goods_art_nos: str = None):
  1871. """
  1872. 同步执行的文件遍历和数据库插入逻辑
  1873. :param dir_path: 图片根目录
  1874. :param goods_art_nos: 指定货号。
  1875. """
  1876. if not os.path.exists(dir_path):
  1877. raise UnicornException(f"目录不存在: {dir_path}")
  1878. session = SqlQuery()
  1879. # photo_record_crud = CRUD(PhotoRecord)
  1880. # 支持的图片扩展名
  1881. image_extensions = ('.jpg', '.jpeg', '.png', '.bmp', '.gif', '.webp')
  1882. success_count = 0
  1883. fail_count = 0
  1884. try:
  1885. # ================== 阶段 1: 收集所有待处理的唯一货号 ==================
  1886. goods_art_nos_to_check = set()
  1887. # 用于后续遍历时的映射关系: {root_path: goods_art_no}
  1888. # 避免在第二阶段再次进行复杂的路径解析
  1889. dir_goods_map = {}
  1890. for root, dirs, files in os.walk(dir_path):
  1891. current_goods_art_no = None
  1892. # 如果没有指定全局货号,尝试从相对路径提取货号
  1893. if not current_goods_art_no:
  1894. relative_path = os.path.relpath(root, dir_path)
  1895. parts = relative_path.split(os.sep)
  1896. # 跳过根目录本身,只处理子目录作为货号的情况
  1897. if relative_path == ".":
  1898. continue
  1899. # 取第一层目录名作为货号
  1900. current_goods_art_no = parts[0]
  1901. if current_goods_art_no:
  1902. if current_goods_art_no not in goods_art_nos:
  1903. raise UnicornException(f"可用货号超出权限范围: {root}")
  1904. goods_art_nos_to_check.add(current_goods_art_no)
  1905. # 记录该目录下对应的货号,方便后续直接使用,无需再次计算
  1906. dir_goods_map[root] = current_goods_art_no
  1907. # ================== 阶段 2: 批量查询数据库中已存在的货号 ==================
  1908. existing_goods_nos = set()
  1909. if goods_art_nos_to_check:
  1910. # 使用 in_ 进行批量查询,只获取货号字段即可,减少数据传输
  1911. # 注意:这里假设 PhotoRecord 有 goods_art_no 字段
  1912. statement = select(PhotoRecord.goods_art_no).where(
  1913. and_(
  1914. PhotoRecord.goods_art_no.in_(list(goods_art_nos_to_check)),
  1915. PhotoRecord.delete_time == None
  1916. )
  1917. ).distinct()
  1918. db_results = session.exec(statement).all()
  1919. existing_goods_nos = set(db_results)
  1920. # ================== 阶段 3: 预校验,如果有已存在的货号,直接报错 ==================
  1921. if existing_goods_nos:
  1922. # 将集合转换为列表或字符串展示给用户
  1923. existing_list = ", ".join(existing_goods_nos)
  1924. raise UnicornException(f"以下货号在数据库中已存在,请删除后重新导入: [{existing_list}]")
  1925. # ================== 阶段 4: 执行文件遍历和数据插入 ==================
  1926. # 此时可以确定所有待处理的货号都是干净的,无需再在循环中查库
  1927. for root, dirs, files in os.walk(dir_path):
  1928. # 获取当前目录对应的货号
  1929. current_goods_art_no = dir_goods_map.get(root)
  1930. # 如果是根目录且没有指定特定货号,或者映射中找不到(理论上不会发生,因为上面已经过滤),则跳过
  1931. if not current_goods_art_no:
  1932. continue
  1933. for idx, file in enumerate(files):
  1934. if file.lower().endswith(image_extensions):
  1935. full_path = os.path.join(root, file)
  1936. try:
  1937. data_to_insert = {
  1938. "image_path": full_path,
  1939. "goods_art_no": current_goods_art_no,
  1940. "action_id": 0,
  1941. "image_index": idx,
  1942. 'image_deal_mode': 0,
  1943. 'photo_create_time': datetime.datetime.now(),
  1944. "create_time": datetime.datetime.now(),
  1945. "update_time": datetime.datetime.now(),
  1946. }
  1947. new_record = PhotoRecord(**data_to_insert)
  1948. session.add(new_record)
  1949. success_count += 1
  1950. except Exception as e:
  1951. logger.error(f"导入图片失败 {full_path}: {str(e)}")
  1952. fail_count += 1
  1953. # 提交事务
  1954. session.commit()
  1955. logger.info(f"导入完成: 成功 {success_count}, 失败 {fail_count}")
  1956. return {
  1957. "message": "导入完成",
  1958. "success": success_count,
  1959. "failed": fail_count,
  1960. }
  1961. except UnicornException:
  1962. # 重新抛出自定义异常
  1963. raise
  1964. except Exception as e:
  1965. session.rollback()
  1966. logger.error(f"导入过程发生严重错误: {str(e)}")
  1967. raise e
  1968. finally:
  1969. session.close()
  1970. @app.post("/import_dirs")
  1971. async def import_images_from_dir(params: ImportDirs):
  1972. """
  1973. 遍历指定目录及其子目录,将图片路径导入数据库
  1974. """
  1975. dir_path = params.dir_path
  1976. goods_art_nos = params.goods_art_nos
  1977. # 基本安全检查,防止路径遍历攻击或无效路径
  1978. if not os.path.isdir(dir_path):
  1979. raise UnicornException(f"无效目录: {dir_path}")
  1980. try:
  1981. # 将阻塞的 IO 和 DB 操作放在线程池中执行
  1982. result = _sync_import_images_logic(dir_path, goods_art_nos)
  1983. return {"code": 0, "msg": "操作成功", "data": result}
  1984. except FileNotFoundError as e:
  1985. raise UnicornException(str(e))
  1986. except Exception as e:
  1987. logger.error(f"API 调用异常: {str(e)}")
  1988. raise UnicornException(f"{str(e)}")
  1989. def check_goods_art_no_cutout_dir(goods_art_no):
  1990. """
  1991. 遍历settings.OUTPUT_DIR子目录,检查货号目录及已抠图目录是否存在且有文件
  1992. :param goods_art_no: 货号
  1993. :return: 存在则返回货号目录地址,不存在或无文件返回None
  1994. """
  1995. if not goods_art_no or not os.path.exists(settings.OUTPUT_DIR):
  1996. return None
  1997. try:
  1998. for date_dir in os.listdir(settings.OUTPUT_DIR):
  1999. date_path = os.path.join(settings.OUTPUT_DIR, date_dir)
  2000. if not os.path.isdir(date_path):
  2001. continue
  2002. goods_art_no_path = os.path.join(date_path, goods_art_no)
  2003. if not os.path.isdir(goods_art_no_path):
  2004. continue
  2005. cutout_path = os.path.join(goods_art_no_path, "原始图_已抠图")
  2006. if not os.path.isdir(cutout_path):
  2007. continue
  2008. if os.listdir(cutout_path):
  2009. return goods_art_no_path
  2010. except Exception as e:
  2011. logger.error(f"检查货号已抠图目录异常: {str(e)}")
  2012. return None
  2013. @app.post("/generate_calib")
  2014. async def import_images_from_dir(params: CalibRequest):
  2015. goods_art_no = params.goods_art_no
  2016. goods_path = check_goods_art_no_cutout_dir(goods_art_no)
  2017. if not goods_path:
  2018. raise UnicornException("请先对图像进行抠图")
  2019. cutout_path = f"{goods_path}/原始图_已抠图/"
  2020. goods_nobg_fileds = natsorted(os.listdir(cutout_path))
  2021. print("goods_nobg_fileds", goods_nobg_fileds)
  2022. '''生成标定物像素宽高'''
  2023. from service.measure.objmark_api import Calibrator
  2024. calib = Calibrator(
  2025. topdown_png=cutout_path + goods_nobg_fileds[2],
  2026. topdown_known_length_mm=params.topdown_known_length_mm,
  2027. side_png=cutout_path + goods_nobg_fileds[0],
  2028. side_known_height_mm=params.side_known_height_mm,
  2029. front_png=cutout_path + goods_nobg_fileds[1], # 可选,单独标定宽度方向kw
  2030. front_known_width_mm=params.front_known_width_mm,
  2031. ).calibrate()
  2032. return {"code": 0, "msg": "操作成功", "data": calib}
  2033. @app.post("/measurer_object")
  2034. async def import_images_from_dir(params: MeasurerRequest):
  2035. '''生成标定物像素宽高'''
  2036. from service.measure.objmark_api import ShoeMeasurer
  2037. goods_art_no = params.goods_art_no
  2038. goods_path = check_goods_art_no_cutout_dir(goods_art_no)
  2039. if not goods_path:
  2040. raise UnicornException("请先对图像进行抠图")
  2041. cutout_path = f"{goods_path}/原始图_已抠图/"
  2042. goods_nobg_fileds = natsorted(os.listdir(cutout_path))
  2043. result = ShoeMeasurer(
  2044. topdown_png=cutout_path + goods_nobg_fileds[2],
  2045. side_png=cutout_path + goods_nobg_fileds[0],
  2046. front_png=cutout_path + goods_nobg_fileds[1], # 可选,单独标定宽度方向kw
  2047. calib=params.calib,
  2048. debug=False, # 保存 result_*.jpg 标注图
  2049. ).measure()
  2050. result["goods_path"] = goods_path
  2051. return {"code": 0, "msg": "操作成功", "data": result}
  2052. OPEN_API_BASE_URL = "https://zjai.pubdata.cn/api/v1/open"
  2053. OPEN_API_APP_KEY = "ak_5e8b417bbeb581ad"
  2054. OPEN_API_APP_SECRET = "P3gxaIINUhXRrF4bND5EUwpH"
  2055. def _get_open_api_headers():
  2056. return {
  2057. "X-App-Key": OPEN_API_APP_KEY,
  2058. "X-App-Secret": OPEN_API_APP_SECRET,
  2059. }
  2060. @app.get("/open_api/companies", description="企业列表")
  2061. async def get_open_api_companies(
  2062. q: str = "",
  2063. page: int = 1,
  2064. page_size: int = 100,
  2065. ):
  2066. """查询开放平台企业列表"""
  2067. try:
  2068. params = {"page": page, "page_size": page_size}
  2069. if q:
  2070. params["q"] = q
  2071. resp = requests.get(
  2072. f"{OPEN_API_BASE_URL}/companies",
  2073. headers=_get_open_api_headers(),
  2074. params=params,
  2075. timeout=15,
  2076. )
  2077. return resp.json()
  2078. except Exception as e:
  2079. raise UnicornException(f"请求企业列表接口失败: {str(e)}")
  2080. @app.post("/open_api/upload_item", description="拍照机商品资料上传")
  2081. async def upload_item_to_open_api(params: OpenApiUploadItem):
  2082. """将货号800x800目录下已抠图图片上传到开放平台商品档案"""
  2083. goods_art_no = params.goods_art_no
  2084. company_id = params.company_id
  2085. item_type = params.item_type
  2086. if not goods_art_no:
  2087. raise UnicornException("货号不能为空")
  2088. if not company_id:
  2089. raise UnicornException("企业ID不能为空")
  2090. if item_type not in (1, 2):
  2091. raise UnicornException("上传类型item_type必须为1(商品)或2(材料)")
  2092. goods_path = check_goods_art_no_cutout_dir(goods_art_no)
  2093. if not goods_path:
  2094. raise UnicornException("请先对图像进行抠图")
  2095. cutout_dir = os.path.join(goods_path, "800x800")
  2096. if not os.path.isdir(cutout_dir):
  2097. raise UnicornException("800x800抠图目录不存在")
  2098. image_files = natsorted([
  2099. f for f in os.listdir(cutout_dir)
  2100. if os.path.isfile(os.path.join(cutout_dir, f))
  2101. ])
  2102. if not image_files:
  2103. raise UnicornException("800x800目录下无图片文件")
  2104. create_date = time.strftime("%Y-%m-%d")
  2105. upload_results = []
  2106. try:
  2107. for image_name in image_files:
  2108. image_path = os.path.join(cutout_dir, image_name)
  2109. file_ext = os.path.splitext(image_name)[1].lower()
  2110. content_type_map = {
  2111. ".jpg": "image/jpeg",
  2112. ".jpeg": "image/jpeg",
  2113. ".png": "image/png",
  2114. ".gif": "image/gif",
  2115. ".webp": "image/webp",
  2116. ".bmp": "image/bmp",
  2117. }
  2118. content_type = content_type_map.get(file_ext, "image/jpeg")
  2119. image_type = os.path.splitext(image_name)[0]
  2120. with open(image_path, "rb") as f:
  2121. files = [
  2122. ("File", (image_name, f, content_type)),
  2123. ]
  2124. data = {
  2125. "Key": goods_art_no,
  2126. "ImageType": image_type,
  2127. "CreateDate": create_date,
  2128. "CompanyId": company_id,
  2129. "ItemType": item_type,
  2130. }
  2131. resp = requests.post(
  2132. f"{OPEN_API_BASE_URL}/camera/items",
  2133. headers=_get_open_api_headers(),
  2134. data=data,
  2135. files=files,
  2136. timeout=30,
  2137. )
  2138. result = resp.json()
  2139. upload_results.append({
  2140. "image": image_name,
  2141. "status_code": resp.status_code,
  2142. "result": result,
  2143. })
  2144. success_count = sum(1 for r in upload_results if r.get("result", {}).get("code") == "OK")
  2145. return {
  2146. "code": 0,
  2147. "msg": f"上传完成,成功{success_count}/{len(upload_results)}",
  2148. "data": {
  2149. "total": len(upload_results),
  2150. "success": success_count,
  2151. "details": upload_results,
  2152. },
  2153. }
  2154. except requests.RequestException as e:
  2155. raise UnicornException(f"请求开放平台接口失败: {str(e)}")
  2156. except Exception as e:
  2157. raise UnicornException(f"上传异常: {str(e)}")
  2158. async def cutOutImage(original_image_path):
  2159. from service.remove_bg_ali import RemoveUltraBackground
  2160. try:
  2161. remove_pic_ins = RemoveUltraBackground()
  2162. im_pillow = remove_pic_ins.ultra_segment_fast_pil(
  2163. file_path=original_image_path,
  2164. )
  2165. except Exception as e:
  2166. print("抠图异常", e)
  2167. raise UnicornException("抠图异常")
  2168. return im_pillow
  2169. def uploadImageIM(im) -> str:
  2170. img_byte_io = BytesIO()
  2171. # 根据图片模式选择保存格式
  2172. if im.mode == 'RGBA':
  2173. im.save(img_byte_io, format='PNG')
  2174. else:
  2175. im.save(img_byte_io, format='JPEG')
  2176. img_byte_io.seek(0) # 重置指针到开头
  2177. post_headers = {"Authorization": settings.USER_TOKEN}
  2178. url = settings.DOMAIN + "/api/upload"
  2179. # 使用字节流上传
  2180. resultData = requests.post(
  2181. url,
  2182. files={"file": ("image.jpg", img_byte_io, "image/jpeg")},
  2183. headers=post_headers
  2184. ).json()
  2185. return resultData["data"]["url"]
  2186. @app.post("/shoes_compose", description="拍照机商品资料上传")
  2187. async def shoeCompose(params: ShoesComposes):
  2188. from service.shoe_main_image_compose import compose_shoe_main_image # noqa: E402
  2189. # settings.USER_TOKEN = "60db012c9dd228dd0b08bea6e6fc915d1b495d8f"
  2190. # token = "Bearer " + settings.USER_TOKEN
  2191. tpl = "resources/detail_temp/scene/tpl_1.png" # 图2:底图模板
  2192. postData = []
  2193. for itemIdx, item in enumerate(params.data):
  2194. print("item", item)
  2195. main_image_path = item.image_path
  2196. reference_image = item.reference_image
  2197. logo = item.logo
  2198. params.data[itemIdx].logo = logo
  2199. main_image_pil = await cutOutImage(main_image_path)
  2200. main_image_url = uploadImageIM(main_image_pil) + "?x-oss-process=image/format,jpg"
  2201. params.data[itemIdx].image_path = main_image_pil
  2202. for img in item.images:
  2203. sub_image_path = img.get("image_path")
  2204. img['image_path'] = await cutOutImage(sub_image_path)
  2205. # print("item dict", item.__dict__)
  2206. result_url = compose_shoe_main_image(template=tpl,
  2207. data=item.__dict__,
  2208. label_pos="bottom-right",
  2209. shoe_scale=0.9,
  2210. font_path="resources/ttl/MiSans-Light.ttf",
  2211. upload=True,
  2212. info_bottom_margin=20,
  2213. label_font_size=30,
  2214. info_bar_height=40,
  2215. info_font_size=34,
  2216. label_offset=(0, 0)
  2217. )
  2218. postData.append({"base_image": main_image_url, "reference_image": reference_image, 'past_image': result_url})
  2219. headers = {
  2220. "Authorization": f"Bearer {settings.USER_TOKEN}",
  2221. "Content-Type": "application/json",
  2222. }
  2223. response = requests.request(
  2224. "POST",
  2225. f"{settings.DOMAIN}/api/ai_image/main/auto_photo_scene_images_zj",
  2226. headers=headers,
  2227. json={"data": postData},
  2228. )
  2229. print("response", response.content)
  2230. responseData = response.json()
  2231. return {"code": 0, "msg": "操作成功", "data": responseData.get("data", None)}