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