api.py 90 KB

12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485868788899091929394959697989910010110210310410510610710810911011111211311411511611711811912012112212312412512612712812913013113213313413513613713813914014114214314414514614714814915015115215315415515615715815916016116216316416516616716816917017117217317417517617717817918018118218318418518618718818919019119219319419519619719819920020120220320420520620720820921021121221321421521621721821922022122222322422522622722822923023123223323423523623723823924024124224324424524624724824925025125225325425525625725825926026126226326426526626726826927027127227327427527627727827928028128228328428528628728828929029129229329429529629729829930030130230330430530630730830931031131231331431531631731831932032132232332432532632732832933033133233333433533633733833934034134234334434534634734834935035135235335435535635735835936036136236336436536636736836937037137237337437537637737837938038138238338438538638738838939039139239339439539639739839940040140240340440540640740840941041141241341441541641741841942042142242342442542642742842943043143243343443543643743843944044144244344444544644744844945045145245345445545645745845946046146246346446546646746846947047147247347447547647747847948048148248348448548648748848949049149249349449549649749849950050150250350450550650750850951051151251351451551651751851952052152252352452552652752852953053153253353453553653753853954054154254354454554654754854955055155255355455555655755855956056156256356456556656756856957057157257357457557657757857958058158258358458558658758858959059159259359459559659759859960060160260360460560660760860961061161261361461561661761861962062162262362462562662762862963063163263363463563663763863964064164264364464564664764864965065165265365465565665765865966066166266366466566666766866967067167267367467567667767867968068168268368468568668768868969069169269369469569669769869970070170270370470570670770870971071171271371471571671771871972072172272372472572672772872973073173273373473573673773873974074174274374474574674774874975075175275375475575675775875976076176276376476576676776876977077177277377477577677777877978078178278378478578678778878979079179279379479579679779879980080180280380480580680780880981081181281381481581681781881982082182282382482582682782882983083183283383483583683783883984084184284384484584684784884985085185285385485585685785885986086186286386486586686786886987087187287387487587687787887988088188288388488588688788888989089189289389489589689789889990090190290390490590690790890991091191291391491591691791891992092192292392492592692792892993093193293393493593693793893994094194294394494594694794894995095195295395495595695795895996096196296396496596696796896997097197297397497597697797897998098198298398498598698798898999099199299399499599699799899910001001100210031004100510061007100810091010101110121013101410151016101710181019102010211022102310241025102610271028102910301031103210331034103510361037103810391040104110421043104410451046104710481049105010511052105310541055105610571058105910601061106210631064106510661067106810691070107110721073107410751076107710781079108010811082108310841085108610871088108910901091109210931094109510961097109810991100110111021103110411051106110711081109111011111112111311141115111611171118111911201121112211231124112511261127112811291130113111321133113411351136113711381139114011411142114311441145114611471148114911501151115211531154115511561157115811591160116111621163116411651166116711681169117011711172117311741175117611771178117911801181118211831184118511861187118811891190119111921193119411951196119711981199120012011202120312041205120612071208120912101211121212131214121512161217121812191220122112221223122412251226122712281229123012311232123312341235123612371238123912401241124212431244124512461247124812491250125112521253125412551256125712581259126012611262126312641265126612671268126912701271127212731274127512761277127812791280128112821283128412851286128712881289129012911292129312941295129612971298129913001301130213031304130513061307130813091310131113121313131413151316131713181319132013211322132313241325132613271328132913301331133213331334133513361337133813391340134113421343134413451346134713481349135013511352135313541355135613571358135913601361136213631364136513661367136813691370137113721373137413751376137713781379138013811382138313841385138613871388138913901391139213931394139513961397139813991400140114021403140414051406140714081409141014111412141314141415141614171418141914201421142214231424142514261427142814291430143114321433143414351436143714381439144014411442144314441445144614471448144914501451145214531454145514561457145814591460146114621463146414651466146714681469147014711472147314741475147614771478147914801481148214831484148514861487148814891490149114921493149414951496149714981499150015011502150315041505150615071508150915101511151215131514151515161517151815191520152115221523152415251526152715281529153015311532153315341535153615371538153915401541154215431544154515461547154815491550155115521553155415551556155715581559156015611562156315641565156615671568156915701571157215731574157515761577157815791580158115821583158415851586158715881589159015911592159315941595159615971598159916001601160216031604160516061607160816091610161116121613161416151616161716181619162016211622162316241625162616271628162916301631163216331634163516361637163816391640164116421643164416451646164716481649165016511652165316541655165616571658165916601661166216631664166516661667166816691670167116721673167416751676167716781679168016811682168316841685168616871688168916901691169216931694169516961697169816991700170117021703170417051706170717081709171017111712171317141715171617171718171917201721172217231724172517261727172817291730173117321733173417351736173717381739174017411742174317441745174617471748174917501751175217531754175517561757175817591760176117621763176417651766176717681769177017711772177317741775177617771778177917801781178217831784178517861787178817891790179117921793179417951796179717981799180018011802180318041805180618071808180918101811181218131814181518161817181818191820182118221823182418251826182718281829183018311832183318341835183618371838183918401841184218431844184518461847184818491850185118521853185418551856185718581859186018611862186318641865186618671868186918701871187218731874187518761877187818791880188118821883188418851886188718881889189018911892189318941895189618971898189919001901190219031904190519061907190819091910191119121913191419151916191719181919192019211922192319241925192619271928192919301931193219331934193519361937193819391940194119421943194419451946194719481949195019511952195319541955195619571958195919601961196219631964196519661967196819691970197119721973197419751976197719781979198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015201620172018201920202021202220232024202520262027202820292030203120322033203420352036203720382039204020412042204320442045204620472048204920502051205220532054205520562057205820592060206120622063206420652066206720682069207020712072207320742075207620772078207920802081208220832084208520862087208820892090209120922093209420952096209720982099210021012102210321042105210621072108210921102111211221132114211521162117211821192120212121222123212421252126212721282129213021312132213321342135213621372138213921402141214221432144214521462147214821492150215121522153215421552156215721582159216021612162216321642165216621672168216921702171217221732174217521762177217821792180218121822183218421852186218721882189219021912192219321942195219621972198219922002201220222032204220522062207220822092210221122122213221422152216221722182219222022212222222322242225222622272228222922302231223222332234223522362237223822392240224122422243224422452246224722482249225022512252225322542255225622572258225922602261226222632264226522662267226822692270227122722273227422752276227722782279228022812282
  1. from re import search, match
  2. from natsort.natsort import order_by_index, natsorted
  3. from sqlalchemy import func
  4. from models import *
  5. import requests
  6. import json
  7. from logger import logger
  8. from serial.tools import list_ports
  9. from model import PhotoRecord
  10. import settings, datetime
  11. import pandas as pd
  12. from utils.hlm_http_request import forward_request
  13. from utils.utils_func import check_path
  14. from sockets.socket_client import socket_manager
  15. from mcu.DeviceControl import DeviceControl
  16. import time, shutil, os
  17. from sqlalchemy import and_, asc, desc
  18. from functools import partial
  19. from service.deal_image import DealImage
  20. from databases import DeviceConfig, SysConfigs, SqlQuery, CRUD, select, DeviceConfigTabs
  21. from service.run_main import RunMain
  22. import importlib
  23. from service.auto_deal_pics.upload_pic import UploadPic
  24. from service.OnePicTest import OnePicTest
  25. from service.base import check_move_goods_art_no_folder
  26. import win32api, win32gui, win32con
  27. from win32gui import EnumWindows, GetWindowText
  28. from service.online_request.module_online_data import OnlineDataRequest
  29. from concurrent.futures import ThreadPoolExecutor
  30. from functools import partial
  31. from service.online_request.module_online_data import AIGCDataRequest
  32. import asyncio
  33. from fastapi import BackgroundTasks
  34. import functools
  35. import traceback, stat
  36. import concurrent.futures
  37. from sockets.message_handler import handlerFolderDelete
  38. from service.remove_bg_ali import RemoveBgALi
  39. import uuid as mine_uuid
  40. from utils import common
  41. def log_exception_with_context(context_message=""):
  42. """装饰器:为函数添加异常日志上下文"""
  43. def decorator(func):
  44. @functools.wraps(func)
  45. def wrapper(*args, **kwargs):
  46. try:
  47. return func(*args, **kwargs)
  48. except Exception as e:
  49. logger.error(f"=== 异常发生在函数: {func.__name__} ===")
  50. if context_message:
  51. logger.error(f"上下文信息: {context_message}")
  52. logger.error(f"函数参数: args={args}, kwargs={kwargs}")
  53. logger.error(f"异常类型: {type(e).__name__}")
  54. logger.error(f"异常信息: {str(e)}")
  55. logger.error("完整堆栈跟踪:")
  56. logger.error(traceback.format_exc())
  57. raise # 重新抛出异常
  58. return wrapper
  59. return decorator
  60. def parserGoodsDict2Aigc(return_data_check_before_detail):
  61. """获取商品组装数据"""
  62. print("获取商品组装数据===========>return_data_check_before_detail", return_data_check_before_detail)
  63. goods_no_dict = return_data_check_before_detail.get("data", {}).get(
  64. "goods_no_dict", {}
  65. )
  66. return goods_no_dict
  67. async def sendAsyncMessage(msg="", goods_arts=[], status="", msg_type="", data=None, progress=None):
  68. """异步发送消息"""
  69. mapping = {"segment_progress": "抠图", "scene_progress": "场景图", "upper_footer_progress": "模特图",
  70. "detail_progress": "详情页", "upload_goods_progress": "上传第三方商品"}
  71. if progress is not None:
  72. progress["msg_type"] = msg_type
  73. name = mapping.get(msg_type, None)
  74. if name:
  75. progress["name"] = name
  76. data = {
  77. "code": 0,
  78. "msg": msg,
  79. "status": 2,
  80. "data": (
  81. data
  82. if data is not None
  83. else {
  84. "status": status,
  85. "goods_art_nos": goods_arts,
  86. }
  87. ),
  88. "progress": None if progress is None else progress,
  89. "msg_type": msg_type,
  90. }
  91. await message_queue.put(data)
  92. # message_queue.put_nowait(data)
  93. @app.get("/")
  94. async def index():
  95. # await socket_manager.send_message(msg="测试")
  96. return {"message": "Hello World"}
  97. @app.get("/scan_serials", description="扫描可用的设备端口")
  98. async def scanSerials():
  99. """扫描串口"""
  100. ports = list_ports.comports()
  101. print("Scanning", ports)
  102. return {"message": "Hello World"}
  103. @app.api_route(
  104. "/forward_request", methods=["GET", "POST"], description="代理转发hlm项目得请求"
  105. )
  106. async def forwardRequest(request: HlmForwardRequest):
  107. """
  108. 转发HTTP请求到目标URL
  109. :param request: FastAPI Request对象
  110. :return: 目标接口的响应
  111. """
  112. try:
  113. if request.method == "GET":
  114. params = request.query_params
  115. elif request.method == "POST":
  116. params = json.dump(request.query_params)
  117. else:
  118. raise UnicornException("仅支持GET和POST方法")
  119. target_url = request.target_url
  120. method = request.method.upper()
  121. headers = request.headers
  122. if not target_url:
  123. raise UnicornException("目标url地址不能为空")
  124. # 调用 hlm_http_request 中的 forward_request 函数
  125. response = forward_request(
  126. target_url, params=params, method=method, headers=headers
  127. )
  128. return response
  129. except requests.RequestException as e:
  130. raise UnicornException(e)
  131. except Exception as e:
  132. raise UnicornException(e)
  133. def __createExcelGoodsArray(excel_path):
  134. '''创建通过excel形式得货号组数据'''
  135. try:
  136. excel_df = pd.read_excel(excel_path, sheet_name=0, header=0, dtype={
  137. "款号": str,
  138. "商品货号": str,
  139. })
  140. if "商品货号" not in excel_df.columns:
  141. raise UnicornException("缺失 [商品货号] 列")
  142. if "款号" not in excel_df.columns:
  143. raise UnicornException("缺失 [款号] 列")
  144. goods_art_dirs = excel_df.groupby(excel_df["款号"])
  145. # 抠图时用到的货号列表,与生成详情图有所区别
  146. goods_art_no_arrays = []
  147. # # 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
  148. goods_art_no_group_arrays = []
  149. for _, goods_row in excel_df.iterrows():
  150. goods_art_no = str(goods_row["商品货号"])
  151. goods_art_no_arrays.append(goods_art_no)
  152. goods_no = str(goods_row["款号"])
  153. a001_df = goods_art_dirs.get_group(goods_no)
  154. goods_art_groups = a001_df["商品货号"].tolist()
  155. if goods_art_groups in goods_art_no_group_arrays:
  156. continue
  157. goods_art_no_group_arrays.append(goods_art_groups)
  158. except Exception as e:
  159. raise UnicornException("Excel文件解析失败,请检查是否缺少列")
  160. return goods_art_no_arrays, excel_df, goods_art_no_group_arrays
  161. def group_by_style_number(data):
  162. result = {}
  163. for goods_id, info in data.items():
  164. style_number = info["款号"]
  165. if style_number not in result:
  166. result[style_number] = []
  167. result[style_number].append(goods_id)
  168. return result
  169. @app.post("/handle_detail")
  170. async def handle_detail_background(
  171. request: Request, params: HandlerDetail, background_tasks: BackgroundTasks
  172. ):
  173. goods_art_no_arrays = params.goods_art_no
  174. is_check = params.is_check
  175. obj = None
  176. token = "Bearer " + params.token
  177. uuid = params.uuid
  178. run_main = RunMain(obj, token, uuid)
  179. online_stores = params.online_stores # 上传第三方的店铺名称数组
  180. is_detail = params.is_detail # 上传第三方的店铺名称数组
  181. is_product_scene = params.is_product_scene # 上传第三方的店铺名称数组
  182. is_upper_footer = params.is_upper_footer # 上传第三方的店铺名称数组
  183. # 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
  184. if online_stores:
  185. """如果上传第三方,则需要强制生成详情页"""
  186. params.is_detail = 1
  187. is_detail = 1
  188. try:
  189. excel_path = params.excel_path.strip()
  190. print("excel信息打印输出:", excel_path)
  191. if excel_path:
  192. goods_art_no_arrays, excel_df, _ = __createExcelGoodsArray(excel_path)
  193. await _process_excel_mode(
  194. goods_art_no_arrays, excel_df
  195. )
  196. else:
  197. if is_detail == 1:
  198. remote_data = run_main.data_mode_generate_detail.get_goods_art_no_info(
  199. goods_art_list=goods_art_no_arrays)
  200. if remote_data == {}:
  201. 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")
  202. error_goods_art_no = []
  203. for goods_art_no_check in goods_art_no_arrays:
  204. check_item = remote_data.get(goods_art_no_check, None)
  205. if not check_item:
  206. error_goods_art_no.append(goods_art_no_check)
  207. if len(error_goods_art_no) > 0:
  208. raise UnicornException(
  209. "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))
  210. await _process_non_excel_mode(
  211. params, goods_art_no_arrays
  212. )
  213. except Exception as e:
  214. raise UnicornException(str(e))
  215. progress = [
  216. {"msg_type": "segment_progress", "name": "抠图", "status": "等待处理", "current": 0, "total": 0, "error": 0}]
  217. if is_product_scene == 1:
  218. progress.append({"msg_type": "scene_progress", "name": "场景图", "status": "等待处理", "current": 0, "total": 0,
  219. "error": 0})
  220. if is_upper_footer == 1:
  221. progress.append(
  222. {"msg_type": "upper_footer_progress", "name": "模特图", "status": "等待处理", "current": 0, "total": 0,
  223. "error": 0})
  224. if is_detail == 1 or (params.excel_path != "" and params.excel_path != None):
  225. progress.append(
  226. {"msg_type": "detail_progress", "name": "详情页", "status": "等待处理", "current": 0, "total": 0,
  227. "error": 0})
  228. if len(online_stores) > 0:
  229. progress.append(
  230. {"msg_type": "upload_goods_progress", "name": "上传第三方商品", "status": "等待处理", "current": 0,
  231. "total": 0, "error": 0})
  232. if is_check == 1:
  233. return {
  234. "code": 0,
  235. "msg": "检测通过",
  236. "data": {"progress": progress},
  237. }
  238. asyncio.create_task(process_handle_detail(request, params))
  239. return {"code": 0, "msg": "任务已提交后台处理", "data": {"status": "processing"}}
  240. # 重构后的简化版本
  241. async def process_handle_detail(request: Request, params: HandlerDetail):
  242. """处理商品详情图生成的主要函数"""
  243. try:
  244. # 初始化基础变量
  245. handler_result = []
  246. handler_result_folder = ""
  247. # 处理参数
  248. obj, token, uuid = None, "Bearer " + params.token, params.uuid
  249. aigc_clazz = AIGCDataRequest(token)
  250. run_main = RunMain(obj, token, uuid)
  251. onlineData = OnlineDataRequest(token)
  252. # 提取参数
  253. goods_art_no_arrays = params.goods_art_no
  254. online_stores = params.online_stores
  255. is_detail = params.is_detail
  256. temp_name = params.temp_name
  257. is_product_scene = params.is_product_scene
  258. is_upper_footer = params.is_upper_footer
  259. upper_footer_params = params.upper_footer_params
  260. product_scene_prompt = params.product_scene_prompt
  261. if params.excel_path and params.excel_path.strip():
  262. # 处理Excel模式
  263. is_detail = 1 # 强制处理详情页
  264. goods_art_no_arrays, excel_df, _ = __createExcelGoodsArray(params.excel_path)
  265. move_folder_array = await _process_excel_mode(
  266. goods_art_no_arrays, excel_df
  267. )
  268. else:
  269. # 处理非Excel模式
  270. move_folder_array = await _process_non_excel_mode(
  271. params, goods_art_no_arrays
  272. )
  273. # 构建配置数据
  274. config_data = await _build_config_data(params, goods_art_no_arrays)
  275. # 执行抠图处理
  276. handler_result_folder, handler_result = await _process_cutout(
  277. run_main, config_data, goods_art_no_arrays, move_folder_array
  278. )
  279. # 处理场景图和模特图
  280. loop = asyncio.get_event_loop()
  281. return_data_check_before_detail = await loop.run_in_executor(
  282. None,
  283. partial(run_main.check_before_detail, config_data, is_detail)
  284. )
  285. # 检查处理结果
  286. success_handler = return_data_check_before_detail.get("data", {}).get("config_data", {}).get("success_handler",
  287. [])
  288. failed_items = [item for item in success_handler if item.get('success') == False]
  289. if failed_items:
  290. await sendAsyncMessage(
  291. msg="处理结束",
  292. data={"output_folder": handler_result_folder, "list": failed_items},
  293. status="处理结束",
  294. msg_type="detail_result_progress",
  295. )
  296. # 如果全部失败,直接终止
  297. if failed_items and len(failed_items) == len(success_handler):
  298. check_progress = {
  299. "status": "处理失败",
  300. "current": 0,
  301. "total": len(success_handler),
  302. "error": len(failed_items)
  303. }
  304. await sendAsyncMessage(
  305. msg="检查失败",
  306. goods_arts=[],
  307. status="检查失败",
  308. msg_type="segment_progress",
  309. progress=check_progress
  310. )
  311. return True
  312. # 处理场景图
  313. if is_product_scene == 1:
  314. return_data_check_before_detail = await _process_scene_images(
  315. aigc_clazz, run_main, return_data_check_before_detail, product_scene_prompt
  316. )
  317. # 处理模特图
  318. if is_upper_footer == 1:
  319. return_data_check_before_detail = await _process_model_images(
  320. aigc_clazz, run_main, return_data_check_before_detail, upper_footer_params
  321. )
  322. current_day = time.strftime("%Y-%m-%d", time.localtime(time.time()))
  323. # 处理详情页
  324. if is_detail == 1:
  325. handler_result_folder, handler_result = await _process_detail_pages(
  326. run_main, return_data_check_before_detail, onlineData,
  327. online_stores, goods_art_no_arrays, handler_result_folder,
  328. params
  329. )
  330. # 如果需要上传到第三方平台
  331. if online_stores:
  332. await _upload_to_third_party(
  333. onlineData, return_data_check_before_detail,
  334. config_data, online_stores, temp_name
  335. )
  336. await sendAsyncMessage(
  337. msg="处理结束",
  338. data={"output_folder": f"{handler_result_folder}/{current_day}", "list": handler_result},
  339. status="处理结束",
  340. msg_type="detail_result_progress",
  341. )
  342. else:
  343. await sendAsyncMessage(
  344. msg="处理结束",
  345. data={"output_folder": f"{handler_result_folder}", "list": handler_result},
  346. status="处理结束",
  347. msg_type="detail_result_progress",
  348. )
  349. except UnicornException as e:
  350. logger.info(f"错误信息:{e}")
  351. line = traceback.extract_tb(e.__traceback__)[0][1]
  352. logger.info(f"错误发生在行号:{line}")
  353. await _handle_exception(e.msg, handler_result_folder)
  354. except Exception as e:
  355. logger.info(f"错误信息:{e}")
  356. line = traceback.extract_tb(e.__traceback__)[0][1]
  357. logger.info(f"错误发生在行号:{line}")
  358. await _handle_exception(str(e), handler_result_folder)
  359. return True
  360. async def _process_non_excel_mode(params, goods_art_no_arrays):
  361. """处理非Excel模式的准备工作"""
  362. limit_path = "{}/{}".format(settings.OUTPUT_DIR, time.strftime("%Y-%m-%d", time.localtime(time.time())))
  363. check_path(limit_path)
  364. move_folder_array = check_move_goods_art_no_folder(settings.OUTPUT_DIR, goods_art_no_arrays, limit_path)
  365. for goods_art_no in goods_art_no_arrays:
  366. if not goods_art_no:
  367. raise UnicornException("货号不能为空")
  368. session = SqlQuery()
  369. pr = CRUD(PhotoRecord)
  370. images = pr.read_all(session, conditions={"goods_art_no": goods_art_no, "delete_time": None})
  371. session.close()
  372. if not images:
  373. raise UnicornException(
  374. 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"
  375. )
  376. detail_counts = len(params.template_image_order.split(","))
  377. image_counts = len(images)
  378. if image_counts < detail_counts:
  379. raise UnicornException(
  380. 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"
  381. )
  382. if move_folder_array.get(goods_art_no) is None:
  383. await _process_image_copy_and_move(goods_art_no, images, False)
  384. return move_folder_array
  385. async def _process_excel_mode(goods_art_no_arrays, excel_df):
  386. """处理非Excel模式的准备工作"""
  387. limit_path = "{}/{}".format(settings.OUTPUT_DIR, time.strftime("%Y-%m-%d", time.localtime(time.time())))
  388. check_path(limit_path)
  389. move_folder_array = check_move_goods_art_no_folder("output", goods_art_no_arrays, limit_path)
  390. session = SqlQuery()
  391. for index, row in excel_df.iterrows():
  392. goods_art_no = str(row["商品货号"])
  393. print("货号数据", goods_art_no)
  394. if not goods_art_no:
  395. raise UnicornException("货号不能为空")
  396. pr = CRUD(PhotoRecord)
  397. images = pr.read_all(session, conditions={"goods_art_no": goods_art_no, "delete_time": None})
  398. if not images:
  399. raise UnicornException(
  400. 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"
  401. )
  402. # 货号目录不存在再去进行移动和创建操作
  403. if move_folder_array.get(goods_art_no) is None:
  404. await _process_image_copy_and_move(goods_art_no, images, True)
  405. session.close()
  406. return move_folder_array
  407. async def _process_image_copy_and_move(goods_art_no, images, is_excel):
  408. """处理图片复制和移动"""
  409. image_dir = "{}/data/".format(os.getcwd()).replace("\\", "/")
  410. check_path(image_dir)
  411. for idx, itemImg in enumerate(images):
  412. if not itemImg.image_path:
  413. raise UnicornException(
  414. 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"
  415. )
  416. # new_file_name = str(itemImg.goods_art_no) + "_" + str(idx) + ".jpg"
  417. # if not os.path.exists(image_dir + "/" + os.path.basename(new_file_name)):
  418. # shutil.copy(itemImg.image_path, image_dir + new_file_name)
  419. dealImage = DealImage(image_dir)
  420. resFlag, path = dealImage.dealMoveImageV2(
  421. goods_art_no=goods_art_no
  422. )
  423. if not resFlag:
  424. raise UnicornException(path)
  425. if is_excel:
  426. try:
  427. shutil.rmtree(image_dir, onerror=settings.handle_remove_readonly)
  428. except Exception as e:
  429. logger.info(f"删除图片失败:{str(e)}")
  430. async def _build_config_data(params, goods_art_no_arrays):
  431. """构建配置数据"""
  432. temp_class = {}
  433. temp_name_list = []
  434. # 模板类型;0系统模板;1自定义模板
  435. for tempItem in params.temp_list:
  436. temp_class[tempItem.template_id] = {"class_path": tempItem.template_local_classes,
  437. "template_type": tempItem.template_type if tempItem.template_type else 0}
  438. temp_name_list.append(tempItem.template_id)
  439. # 旗舰 AI 抠图
  440. cutout_mode = settings.getSysConfigs("other_configs", "cutout_mode", "普通抠图")
  441. match cutout_mode:
  442. case "普通抠图":
  443. cutOutMode = "1"
  444. case "精细化抠图":
  445. cutOutMode = "2"
  446. case "旗舰AI抠图":
  447. cutOutMode = "3"
  448. case "旗舰AI抠图-精细":
  449. cutOutMode = "4"
  450. case _:
  451. cutOutMode = "1"
  452. limit_path = "{}/{}".format(settings.OUTPUT_DIR, time.strftime("%Y-%m-%d", time.localtime(time.time())))
  453. config_data = {
  454. "image_dir": limit_path,
  455. "image_order": (
  456. "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"
  457. if not params.template_image_order
  458. else params.template_image_order
  459. ),
  460. "goods_art_no": "",
  461. "goods_art_nos": goods_art_no_arrays,
  462. "is_check_number": False,
  463. "resize_image_view": "后跟",
  464. "cutout_mode": cutOutMode,
  465. "logo_path": params.logo_path,
  466. "special_goods_art_no_folder_line": "",
  467. "is_use_excel": (False if params.excel_path == "" else True), # 是否使用excel
  468. "excel_path": params.excel_path, # excel路径
  469. "is_check_color_is_all": False,
  470. "cutout_is_pass": True,
  471. "assigned_page_dict": {},
  472. "detail_is_pass": False,
  473. "upload_is_pass": False,
  474. "upload_is_enable": False,
  475. "is_filter": False,
  476. "temp_class": temp_class,
  477. "temp_name": params.temp_name,
  478. "temp_name_list": temp_name_list,
  479. "target_error_folder": f"{limit_path}/软件-生成详情错误",
  480. "success_handler": [],
  481. }
  482. temp_class_dict = {}
  483. try:
  484. print("configdata 模板信息", config_data["temp_class"])
  485. for key, val in config_data["temp_class"].items():
  486. class_path = val.get("class_path")
  487. template_type = val.get("template_type", 0)
  488. if template_type == 0:
  489. # 如果是系统模板,才进行动态类导入操作
  490. module_path, class_name = class_path.rsplit(".", 1)
  491. module = importlib.import_module(module_path)
  492. cls = getattr(module, class_name)
  493. temp_class_dict[key] = {"cls": cls, "template_type": template_type}
  494. else:
  495. temp_class_dict[key] = {"cls": class_path, "template_type": template_type}
  496. except:
  497. raise UnicornException("详情页模板不存在或未下载完成,请重启软件后重试")
  498. config_data["temp_class"] = temp_class_dict
  499. return config_data
  500. async def _process_cutout(run_main, config_data, goods_art_no_arrays, move_folder_array):
  501. """处理抠图"""
  502. handler_result = []
  503. handler_result_folder = ""
  504. have_handler_keys = move_folder_array.keys()
  505. if len(have_handler_keys) > 0:
  506. progress = {
  507. "status": "正在处理",
  508. "current": len(have_handler_keys),
  509. "total": len(goods_art_no_arrays),
  510. "error": 0,
  511. "goods_art_no": None
  512. }
  513. await sendAsyncMessage(
  514. msg="正在处理",
  515. data=None,
  516. status="正在处理",
  517. msg_type="segment_progress",
  518. progress=progress
  519. )
  520. loop = asyncio.get_event_loop()
  521. # 【修复】将同步耗时操作放入线程池
  522. # 注意:check_before_cutout 和 check_for_cutout_image_first_call_back 必须是线程安全的
  523. return_data = await loop.run_in_executor(
  524. None,
  525. partial(run_main.check_before_cutout, config_data)
  526. )
  527. cutout_res = await loop.run_in_executor(
  528. None,
  529. partial(run_main.check_for_cutout_image_first_call_back, return_data)
  530. )
  531. if cutout_res:
  532. # sys_path = format(os.getcwd()).replace("\\", "/")
  533. handler_result_folder = f"{config_data['image_dir']}"
  534. for goods_art_item in goods_art_no_arrays:
  535. handler_result.append({
  536. "goods_art_no": goods_art_item,
  537. "success": True,
  538. "info": "处理成功",
  539. })
  540. # 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)
  541. if len(have_handler_keys) == len(goods_art_no_arrays) or (len(have_handler_keys) == 0 and cutout_res):
  542. handler_result_folder = handler_result_folder.replace("\\", "/")
  543. success_items = [item for item in handler_result if item.get('success') == True]
  544. cutout_folder = handler_result_folder + "/" + success_items[0].get("goods_art_no") + "/800x800" if len(
  545. success_items) > 0 else ""
  546. progress = {
  547. "status": "处理完成",
  548. "current": len(goods_art_no_arrays),
  549. "total": len(goods_art_no_arrays),
  550. "error": 0,
  551. "folder": cutout_folder,
  552. }
  553. await sendAsyncMessage(
  554. msg="抠图完成",
  555. data={"output_folder": handler_result_folder, "list": handler_result},
  556. status="抠图完成",
  557. msg_type="segment_progress",
  558. progress=progress
  559. )
  560. return handler_result_folder, handler_result
  561. async def _process_single_scene_item(aigc_clazz, goods_art_dict_info_item, product_scene_prompt, save_root_path):
  562. """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"""
  563. def sync_generate():
  564. ceshi_image_path = goods_art_dict_info_item.get("pics").get("侧视-抠图")
  565. save_image_path = f"{save_root_path}场景图.jpg"
  566. if os.path.isfile(save_image_path):
  567. return save_image_path
  568. aigc_clazz.center_paste_image(ceshi_image_path, save_image_path)
  569. image_path = aigc_clazz.generateProductScene(save_image_path, product_scene_prompt, save_image_path)
  570. return image_path
  571. loop = asyncio.get_event_loop()
  572. try:
  573. image_path = await loop.run_in_executor(None, sync_generate)
  574. return {"success": True, "path": image_path}
  575. except Exception as e:
  576. return {"success": False, "error": str(e)}
  577. async def _process_scene_images(aigc_clazz, run_main, return_data_check_before_detail, product_scene_prompt):
  578. """处理场景图生成"""
  579. # 参数验证
  580. if not product_scene_prompt:
  581. raise UnicornException("请填写场景描述")
  582. goods_dict = parserGoodsDict2Aigc(return_data_check_before_detail)
  583. new_goods_dict = {}
  584. goods_art_counts = {key: len(value.get('货号资料', [])) for key, value in goods_dict.items()}
  585. product_scene_total_progress = sum(goods_art_counts.values())
  586. product_scene_finish_progress = 0
  587. product_scene_error_progress = 0
  588. product_scene_progress = {
  589. "status": "正在处理",
  590. "current": product_scene_finish_progress,
  591. "total": product_scene_total_progress,
  592. "error": product_scene_error_progress
  593. }
  594. await sendAsyncMessage(
  595. msg="开始处理场景图",
  596. goods_arts=[goods_art_no for goods_art_no in goods_dict.keys()],
  597. status="开始处理",
  598. msg_type="scene_progress",
  599. progress=product_scene_progress
  600. )
  601. loop = asyncio.get_event_loop()
  602. for goods_art_no_info in goods_dict.keys():
  603. goods_art_dict_info = goods_dict.get(goods_art_no_info, None)
  604. new_goods_dict.setdefault(goods_art_no_info, goods_art_dict_info)
  605. if goods_art_dict_info is None: continue
  606. for idx_key, goods_art_dict_info_item in enumerate(goods_art_dict_info.get("货号资料", [])):
  607. goods_art_no = goods_art_dict_info_item.get("货号")
  608. product_scene_finish_progress += 1
  609. folder = ""
  610. product_scene_progress = {
  611. "status": "正在处理",
  612. "goods_art_no": goods_art_no,
  613. "current": product_scene_finish_progress,
  614. "total": product_scene_total_progress,
  615. "error": product_scene_error_progress,
  616. "folder": folder,
  617. }
  618. await sendAsyncMessage(
  619. msg="正在处理场景图",
  620. goods_arts=[goods_art_no],
  621. status="正在处理场景图",
  622. msg_type="scene_progress",
  623. progress=product_scene_progress
  624. )
  625. first_pics = goods_art_dict_info_item.get("pics")
  626. ceshi_image_path = first_pics.get("侧视-抠图")
  627. save_root_path = ceshi_image_path.split("阴影图处理")[0]
  628. save_image_path = f"{save_root_path}场景图.jpg"
  629. # 【修复】异步等待单个货号的 AI 处理完成
  630. # 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
  631. result = await _process_single_scene_item(aigc_clazz, goods_art_dict_info_item, product_scene_prompt,
  632. save_root_path)
  633. if result["success"]:
  634. goods_art_dict_info_item["场景图"] = result["path"]
  635. new_goods_dict[goods_art_no_info]["货号资料"][idx_key] = goods_art_dict_info_item
  636. product_scene_progress["folder"] = save_image_path.replace("场景图.jpg", "")
  637. await sendAsyncMessage(
  638. msg="场景图处理完成",
  639. goods_arts=[goods_art_no],
  640. status="场景图处理完成",
  641. msg_type="scene_progress",
  642. progress=product_scene_progress
  643. )
  644. else:
  645. goods_art_dict_info_item["场景图"] = ""
  646. new_goods_dict[goods_art_no_info]["货号资料"][idx_key] = goods_art_dict_info_item
  647. os.remove(save_image_path)
  648. # product_scene_finish_progress -= 1
  649. product_scene_error_progress += 1
  650. product_scene_progress = {
  651. "status": "处理失败",
  652. "goods_art_no": goods_art_no,
  653. "current": product_scene_finish_progress,
  654. "total": product_scene_total_progress,
  655. "error": product_scene_error_progress,
  656. "folder": ""
  657. }
  658. await sendAsyncMessage(
  659. msg="场景图处理失败",
  660. goods_arts=[goods_art_no],
  661. status="场景图处理失败",
  662. msg_type="scene_progress",
  663. progress=product_scene_progress
  664. )
  665. status_text = "处理完成" if product_scene_finish_progress > 0 else "处理失败"
  666. product_scene_progress = {
  667. "status": status_text,
  668. "current": product_scene_finish_progress,
  669. "total": product_scene_total_progress,
  670. "error": product_scene_error_progress
  671. }
  672. await sendAsyncMessage(
  673. msg="场景图处理结束",
  674. goods_arts=[],
  675. status="场景图处理结束",
  676. msg_type="scene_progress",
  677. progress=product_scene_progress
  678. )
  679. print("场景图 new_goods_dict", new_goods_dict)
  680. if new_goods_dict:
  681. return_data_check_before_detail["data"]["goods_no_dict"] = new_goods_dict
  682. return return_data_check_before_detail
  683. async def _process_model_images(aigc_clazz, run_main, return_data_check_before_detail, upper_footer_params):
  684. """处理模特图生成"""
  685. # 参数验证
  686. if not upper_footer_params:
  687. raise UnicornException("请选择模特")
  688. man_id = upper_footer_params.get("man_id")
  689. women_id = upper_footer_params.get("women_id")
  690. if not man_id:
  691. raise UnicornException("请选择男模特")
  692. if not women_id:
  693. raise UnicornException("请选择女模特")
  694. goods_dict = parserGoodsDict2Aigc(return_data_check_before_detail)
  695. new_goods_dict = {}
  696. goods_art_counts = {key: len(value.get('货号资料', [])) for key, value in goods_dict.items()}
  697. upper_footer_total_progress = sum(goods_art_counts.values())
  698. upper_footer_finish_progress = 0
  699. upper_footer_error_progress = 0
  700. upper_footer_progress = {
  701. "status": "正在处理",
  702. "current": upper_footer_finish_progress,
  703. "total": upper_footer_total_progress,
  704. "error": upper_footer_error_progress
  705. }
  706. await sendAsyncMessage(
  707. msg="开始处理模特图",
  708. goods_arts=list(goods_dict.keys()),
  709. status="开始处理模特图",
  710. msg_type="upper_footer_progress",
  711. progress=upper_footer_progress
  712. )
  713. print("上脚图=====>>>>", goods_dict, return_data_check_before_detail)
  714. loop = asyncio.get_event_loop()
  715. for goods_art_no_info in goods_dict.keys():
  716. goods_art_dict_info = goods_dict.get(goods_art_no_info, None)
  717. new_goods_dict.setdefault(goods_art_no_info, goods_art_dict_info)
  718. if goods_art_dict_info is None: continue
  719. # 获取该款号的性别,用于选择模特
  720. gender = goods_art_dict_info.get("性别", "女")
  721. model_id = man_id if "男" in gender else women_id
  722. for idx_key, goods_art_dict_info_item in enumerate(goods_art_dict_info.get("货号资料", [])):
  723. goods_art_no = goods_art_dict_info_item.get("货号")
  724. upper_footer_finish_progress += 1
  725. folder = ""
  726. upper_footer_progress = {
  727. "status": "正在处理",
  728. "goods_art_no": goods_art_no,
  729. "current": upper_footer_finish_progress,
  730. "total": upper_footer_total_progress,
  731. "error": upper_footer_error_progress,
  732. "folder": folder,
  733. }
  734. await sendAsyncMessage(
  735. msg="正在处理模特图",
  736. goods_arts=[goods_art_no],
  737. status="正在处理模特图",
  738. msg_type="upper_footer_progress",
  739. progress=upper_footer_progress
  740. )
  741. gender = goods_art_dict_info.get("性别", "女")
  742. model_id = man_id if "男" in gender else women_id
  743. first_pics = goods_art_dict_info_item.get("pics")
  744. ceshi_image_path = first_pics.get("侧视-抠图")
  745. save_root_path = ceshi_image_path.split("阴影图处理")[0]
  746. save_image_path = f"{save_root_path}模特图.jpg"
  747. # 2. 【核心修复】将耗时的 复制+AI生成 放入线程池
  748. def sync_model_task():
  749. if os.path.isfile(save_image_path):
  750. return {"success": True, "path": save_image_path}
  751. try:
  752. shutil.copy(ceshi_image_path, save_image_path)
  753. image_path = aigc_clazz.generateUpperShoes(save_image_path, model_id, save_image_path)
  754. return {"success": True, "path": image_path}
  755. except Exception as e:
  756. if os.path.exists(save_image_path):
  757. try:
  758. os.remove(save_image_path)
  759. except:
  760. pass
  761. return {"success": False, "error": str(e)}
  762. result = await loop.run_in_executor(None, sync_model_task)
  763. # 3. 处理结果并发送消息
  764. if result["success"]:
  765. goods_art_dict_info_item["模特图"] = result["path"]
  766. new_goods_dict[goods_art_no_info]["货号资料"][idx_key] = goods_art_dict_info_item
  767. upper_footer_progress["folder"] = save_image_path.replace("模特图.jpg", "")
  768. await sendAsyncMessage(
  769. msg="模特图处理成功",
  770. goods_arts=[goods_art_no],
  771. status="模特图处理成功",
  772. msg_type="upper_footer_progress",
  773. progress=upper_footer_progress
  774. )
  775. else:
  776. upper_footer_error_progress += 1
  777. goods_art_dict_info_item["模特图"] = ""
  778. new_goods_dict[goods_art_no_info]["货号资料"][idx_key] = goods_art_dict_info_item
  779. upper_footer_progress["status"] = "处理失败"
  780. upper_footer_progress["error"] = upper_footer_error_progress
  781. await sendAsyncMessage(
  782. msg="模特图处理失败",
  783. goods_arts=[goods_art_no],
  784. status="模特图处理失败",
  785. msg_type="upper_footer_progress",
  786. progress=upper_footer_progress
  787. )
  788. status_text = "处理完成" if upper_footer_finish_progress > 0 else "处理失败"
  789. upper_footer_progress = {
  790. "status": status_text,
  791. "current": upper_footer_finish_progress,
  792. "total": upper_footer_total_progress,
  793. "error": upper_footer_error_progress
  794. }
  795. await sendAsyncMessage(
  796. msg="模特图处理结束",
  797. goods_arts=[],
  798. status="模特图处理结束",
  799. msg_type="upper_footer_progress",
  800. progress=upper_footer_progress
  801. )
  802. if new_goods_dict:
  803. return_data_check_before_detail["data"]["goods_no_dict"] = new_goods_dict
  804. return return_data_check_before_detail
  805. async def _process_detail_pages(run_main, return_data_check_before_detail, onlineData,
  806. online_stores, goods_art_no_arrays, handler_result_folder, request_params):
  807. """处理详情页生成和上传"""
  808. # check_for_detail_first_res = run_main.check_for_detail_first_call_back(
  809. # return_data_check_before_detail,request_params
  810. # )
  811. loop = asyncio.get_event_loop()
  812. # 将整个 detail_run_by_thread 放入线程池执行
  813. check_for_detail_first_res = await loop.run_in_executor(
  814. None,
  815. run_main.check_for_detail_first_call_back,
  816. return_data_check_before_detail,
  817. request_params,
  818. # ... 其他参数
  819. )
  820. print("<======>check_for_detail_first_res<======>", check_for_detail_first_res)
  821. if isinstance(check_for_detail_first_res, partial):
  822. try:
  823. result = check_for_detail_first_res()
  824. config_data = result["config_data"]
  825. except:
  826. config_data = result
  827. else:
  828. config_data = check_for_detail_first_res
  829. out_put_dir = config_data.get("out_put_dir")
  830. success_handler = config_data.get("success_handler")
  831. if not out_put_dir:
  832. handler_result_folder = ""
  833. # 处理失败情况
  834. else:
  835. out_put_dir_path = "{}".format(out_put_dir).replace("\\", "/")
  836. handler_result_folder = os.path.dirname(out_put_dir_path)
  837. if handler_result_folder:
  838. handler_result_folder = os.path.dirname(handler_result_folder)
  839. return handler_result_folder, success_handler
  840. async def _upload_to_third_party(onlineData, return_data_check_before_detail,
  841. config_data, online_stores, temp_name):
  842. """上传到第三方平台"""
  843. result_goods_no_dict = return_data_check_before_detail["data"]["goods_no_dict"]
  844. for goods_idx, goods_no_dict in enumerate(result_goods_no_dict.keys()):
  845. all_detail_path_list = config_data["all_detail_path_list"]
  846. for detail_path in all_detail_path_list:
  847. if goods_no_dict in detail_path:
  848. detail_path_replace = detail_path.replace("\\", "/")
  849. result_goods_no_dict[goods_no_dict]["detail_path"] = f"{detail_path_replace}/详情页-{temp_name}.jpg"
  850. upload_total_progress = len(result_goods_no_dict.keys())
  851. upload_finish_progress = 0
  852. upload_error_progress = 0
  853. upload_progress = {
  854. "status": "开始处理",
  855. "current": upload_finish_progress,
  856. "total": upload_total_progress,
  857. "error": upload_error_progress
  858. }
  859. await sendAsyncMessage(
  860. msg="开始上传商品数据",
  861. goods_arts=[],
  862. status="开始上传商品数据",
  863. msg_type="upload_goods_progress",
  864. progress=upload_progress
  865. )
  866. try:
  867. onlineData.uploadGoods2ThirdParty(
  868. result_goods_no_dict, online_stores=online_stores
  869. )
  870. except Exception as e:
  871. upload_error_progress = upload_total_progress
  872. print(f"上传任务出现错误:{e}")
  873. upload_finish_progress = upload_total_progress
  874. if upload_error_progress > 0:
  875. upload_finish_progress = 0
  876. upload_progress = {
  877. "status": "处理完成",
  878. "current": upload_finish_progress,
  879. "total": upload_total_progress,
  880. "error": upload_error_progress
  881. }
  882. await sendAsyncMessage(
  883. msg="商品上传第三方成功",
  884. goods_arts=[],
  885. status="商品上传第三方成功",
  886. msg_type="upload_goods_progress",
  887. progress=upload_progress
  888. )
  889. async def _handle_exception(error_msg, handler_result_folder):
  890. """处理异常情况"""
  891. handler_result = [{"goods_art_no": "", "success": False, "info": error_msg}]
  892. await sendAsyncMessage(
  893. msg="处理结束",
  894. data={"output_folder": handler_result_folder, "list": handler_result},
  895. status="处理结束",
  896. msg_type="detail_result_progress",
  897. )
  898. @app.get("/get_device_tabs", description="获取可执行程序命令列表")
  899. def get_device_tabs(type: int):
  900. session = SqlQuery()
  901. statement = (
  902. select(DeviceConfigTabs)
  903. .where(DeviceConfigTabs.mode_type == type)
  904. .order_by(asc("id"))
  905. )
  906. result = session.exec(statement).all()
  907. sys = CRUD(SysConfigs)
  908. action_configs = sys.read(session, conditions={"key": "action_configs"})
  909. session.close()
  910. return {
  911. "code": 0,
  912. "msg": "",
  913. "data": {"tabs": result, "select_configs": json.loads(action_configs.value)},
  914. }
  915. @app.post("/update_tab_name", description="更改tab名称")
  916. def update_tab_name(params: DeviceConfigTabsReq):
  917. if params.mode_name == "":
  918. return {"code": 1, "msg": "名称不能为空", "data": {}}
  919. session = SqlQuery()
  920. tabModel = CRUD(DeviceConfigTabs)
  921. kwargs = {"mode_name": params.mode_name}
  922. tabModel.updateConditions(session, conditions={"id": params.id}, **kwargs)
  923. session.close()
  924. return {
  925. "code": 0,
  926. "msg": "",
  927. "data": None,
  928. }
  929. @app.post("/get_device_configs", description="获取可执行程序命令列表")
  930. def get_device_configs(params: ModelGetDeviceConfig):
  931. tab_id = params.tab_id
  932. session = SqlQuery()
  933. configModel = CRUD(DeviceConfig)
  934. configList = configModel.read_all(
  935. session,
  936. conditions={"tab_id": tab_id},
  937. order_by="action_index",
  938. ascending=True,
  939. )
  940. session.close()
  941. return {
  942. "code": 0,
  943. "msg": "",
  944. "data": {"list": configList},
  945. }
  946. @app.post("/device_config_detail", description="获取可执行程序详情")
  947. def device_config_detail(params: ModelGetDeviceConfigDetail):
  948. action_id = params.id
  949. session = SqlQuery()
  950. configModel = CRUD(DeviceConfig)
  951. model = configModel.read(session, conditions={"id": action_id})
  952. session.close()
  953. if model == None:
  954. 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}
  955. return {"code": 0, "msg": "", "data": model}
  956. @app.post("/device_config_detail_query", description="通过条件获取可执行程序详情")
  957. def device_config_detail_query():
  958. # tab_id = params.tab_id
  959. # action_name = params.action_name
  960. session = SqlQuery()
  961. sys = CRUD(SysConfigs)
  962. action_configs = sys.read(session, conditions={"key": "action_configs"})
  963. action_configs_value = json.loads(action_configs.value)
  964. left_config = action_configs_value.get("left")
  965. configModel = CRUD(DeviceConfig)
  966. model = configModel.read(
  967. session, conditions={"tab_id": left_config, "action_name": "侧视"}
  968. )
  969. if model == None:
  970. model = configModel.read(session, conditions={"tab_id": left_config})
  971. session.close()
  972. return {"code": 0, "msg": "", "data": model}
  973. @app.post("/remove_config", description="删除一条可执行命令")
  974. def get_device_configs(params: ModelGetDeviceConfigDetail):
  975. action_id = params.id
  976. session = SqlQuery()
  977. configModel = CRUD(DeviceConfig)
  978. model = configModel.read(session, conditions={"id": action_id})
  979. if model == None:
  980. return {"code": 1, "msg": "数据不存在", "data": None}
  981. if model.is_system == True:
  982. return {"code": 1, "msg": "系统配置不允许删除", "data": None}
  983. configArray = configModel.read_all(session, conditions={"tab_id": model.tab_id})
  984. if len(configArray) == 1:
  985. return {"code": 1, "msg": "请至少保留一个配置", "data": None}
  986. configModel.delete(session, obj_id=action_id)
  987. session.close()
  988. return {"code": 0, "msg": "删除成功", "data": None}
  989. @app.post("/save_device_config", description="创建或修改一条可执行命令")
  990. def save_device_config(params: SaveDeviceConfig):
  991. action_id = params.id
  992. session = SqlQuery()
  993. deviceConfig = CRUD(DeviceConfig)
  994. if action_id == None or action_id == 0:
  995. # 走新增逻辑
  996. params.id = None
  997. save_device_config = deviceConfig.create(session, obj_in=params)
  998. else:
  999. model = deviceConfig.read(session, conditions={"id": action_id})
  1000. if model == None:
  1001. return {"code": 1, "msg": "数据不存在", "data": None}
  1002. # 走编辑逻辑
  1003. kwargs = params.__dict__
  1004. save_device_config = deviceConfig.update(session, obj_id=action_id, **kwargs)
  1005. session.close()
  1006. return {"code": 0, "msg": "操作成功", "data": save_device_config}
  1007. @app.post("/reset_config", description="创建或修改一条可执行命令")
  1008. def reset_config(params: ModelGetDeviceConfig):
  1009. tab_id = params.tab_id
  1010. if tab_id == None or tab_id == "":
  1011. return {"code": 1, "msg": "参数错误", "data": None}
  1012. session = SqlQuery()
  1013. deviceConfig = CRUD(DeviceConfig)
  1014. first_config = deviceConfig.read(session, conditions={"tab_id": tab_id})
  1015. res = deviceConfig.deleteConditions(session, conditions={"tab_id": tab_id})
  1016. if res is False:
  1017. return {"code": 1, "msg": "操作失败", "data": None}
  1018. actions = json.load(open("action.json", encoding="utf-8"))
  1019. for data in actions:
  1020. data["tab_id"] = tab_id
  1021. data["is_system"] = first_config.is_system
  1022. device_config = DeviceConfig(**data)
  1023. session.add(device_config)
  1024. session.commit()
  1025. session.close()
  1026. return {"code": 0, "msg": "操作成功", "data": None}
  1027. @app.get("/get_photo_records", description="获取拍照记录")
  1028. def get_photo_records(page: int = 1, size: int = 5, goods_art_no: str = None):
  1029. session = SqlQuery()
  1030. current_page = page
  1031. # photos = CRUD(PhotoRecord)
  1032. print("准备查询拍摄记录", datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
  1033. # 构建基础查询条件
  1034. base_conditions = [PhotoRecord.delete_time == None]
  1035. if goods_art_no:
  1036. base_conditions.append(PhotoRecord.goods_art_no.like(f"%{goods_art_no}%"))
  1037. # 首先统计总数
  1038. count_statement = select(func.count(PhotoRecord.goods_art_no.distinct())).where(
  1039. *base_conditions
  1040. )
  1041. total_count = session.exec(count_statement).one()
  1042. # 查询所有不重复的货号及对应的最大时间,进行分页
  1043. base_statement = (
  1044. select(PhotoRecord.goods_art_no, func.max(PhotoRecord.id).label("max_id"))
  1045. .where(*base_conditions)
  1046. .group_by(PhotoRecord.goods_art_no)
  1047. .order_by(desc("max_id"))
  1048. .offset((page - 1) * size)
  1049. .limit(size)
  1050. )
  1051. paginated_results = session.exec(base_statement).all()
  1052. # 获取这些货号的详细记录
  1053. list_data = []
  1054. if paginated_results:
  1055. # 获取当前页的货号列表
  1056. current_goods_art_nos = [item.goods_art_no for item in paginated_results]
  1057. # 查询这些货号的所有记录
  1058. query = (
  1059. select(PhotoRecord, DeviceConfig.action_name)
  1060. .outerjoin(DeviceConfig, PhotoRecord.action_id == DeviceConfig.id)
  1061. .where(PhotoRecord.goods_art_no.in_(current_goods_art_nos))
  1062. .where(PhotoRecord.delete_time == None)
  1063. .order_by(asc("image_index")) # 按货号分组并按ID倒序
  1064. )
  1065. all_items = session.exec(query).mappings().all()
  1066. # 按货号分组
  1067. items_by_goods = {}
  1068. for item in all_items:
  1069. goods_art_no = item.PhotoRecord.goods_art_no
  1070. if goods_art_no not in items_by_goods:
  1071. items_by_goods[goods_art_no] = []
  1072. items_by_goods[goods_art_no].append(item)
  1073. # 构建结果列表,保持分页的顺序
  1074. for item in paginated_results:
  1075. goods_art_no = item.goods_art_no
  1076. if goods_art_no in items_by_goods:
  1077. # 获取该货号下时间最新的记录作为action_time
  1078. latest_record = items_by_goods[goods_art_no][0].PhotoRecord
  1079. list_data.append(
  1080. {
  1081. "goods_art_no": goods_art_no,
  1082. "action_time": latest_record.create_time,
  1083. "items": items_by_goods[goods_art_no],
  1084. }
  1085. )
  1086. session.close()
  1087. print("循环查询 完成 ", datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
  1088. # 计算分页信息
  1089. total_pages = (total_count + size - 1) // size # 向上取整
  1090. has_prev = page > 1
  1091. has_next = page < total_pages
  1092. return {
  1093. "code": 0,
  1094. "msg": "",
  1095. "data": {
  1096. "list": list_data,
  1097. "current_page": current_page,
  1098. "size": size,
  1099. "total_count": total_count,
  1100. "total_pages": total_pages,
  1101. "has_prev": has_prev,
  1102. "has_next": has_next
  1103. },
  1104. }
  1105. @app.get("/get_last_photo_record", description="获取最后一条拍照记录")
  1106. def get_last_photo_record():
  1107. session = SqlQuery()
  1108. statement = (
  1109. select(PhotoRecord)
  1110. .where(PhotoRecord.image_path != None)
  1111. .where(PhotoRecord.delete_time == None)
  1112. .order_by(desc("photo_create_time"))
  1113. )
  1114. result = session.exec(statement).first()
  1115. session.close()
  1116. return {
  1117. "code": 0,
  1118. "msg": "",
  1119. "data": result,
  1120. }
  1121. @app.get("/get_photo_record_detail", description="通过货号获取拍照记录详情")
  1122. def get_photo_record_detail(goods_art_no: str = None):
  1123. if goods_art_no == None:
  1124. return {"code": 1, "msg": "参数错误", "data": None}
  1125. session = SqlQuery()
  1126. photos = CRUD(PhotoRecord)
  1127. items = photos.read_all(session, conditions={"goods_art_no": goods_art_no, "delete_time": None})
  1128. session.close()
  1129. return {
  1130. "code": 0,
  1131. "msg": "",
  1132. "data": {"list": items},
  1133. }
  1134. @app.get("/get_action_names_by_goods", description="通过货号获取动作名称列表")
  1135. def get_action_names_by_goods(goods_art_no: str = None):
  1136. """
  1137. 通过货号查询PhotoRecord表,按自然排序获取action_id,
  1138. 再查询DeviceConfig获取对应的action_name,按顺序返回action_name数组
  1139. Args:
  1140. goods_art_no: 货号
  1141. Returns:
  1142. 如果货号不存在: {"code": 1, "msg": "货号不存在", "data": None}
  1143. 如果货号存在: {"code": 0, "msg": "", "data": [action_name1, action_name2, ...]}
  1144. """
  1145. if goods_art_no is None or goods_art_no.strip() == "":
  1146. return {"code": 1, "msg": "参数错误", "data": None}
  1147. session = SqlQuery()
  1148. try:
  1149. # 1. 查询该货号的所有记录
  1150. photos = CRUD(PhotoRecord)
  1151. photo_records = photos.read_all(
  1152. session,
  1153. conditions={"goods_art_no": goods_art_no, "delete_time": None}
  1154. )
  1155. # 2. 如果货号不存在,返回错误
  1156. if not photo_records or len(photo_records) == 0:
  1157. return {"code": 1, "msg": "货号不存在", "data": None}
  1158. # 3. 按自然排序对记录进行排序(基于image_index或其他字段)
  1159. # 使用natsort对image_index进行自然排序
  1160. from natsort import natsorted, ns
  1161. # 将记录转换为可排序的列表,按image_index排序
  1162. sorted_records = natsorted(
  1163. photo_records,
  1164. key=lambda x: str(x.image_index) if x.image_index is not None else "",
  1165. alg=ns.PATH | ns.IGNORECASE
  1166. )
  1167. # 4. 提取排序后的action_id列表
  1168. action_ids = [record.action_id for record in sorted_records if record.action_id is not None]
  1169. if not action_ids:
  1170. return {"code": 0, "msg": "", "data": []}
  1171. # 5. 根据action_id查询DeviceConfig获取action_name
  1172. device_config_crud = CRUD(DeviceConfig)
  1173. action_names = []
  1174. for action_id in action_ids:
  1175. device_config = device_config_crud.read(
  1176. session,
  1177. conditions={"id": action_id, 'take_picture': True}
  1178. )
  1179. if device_config and device_config.action_name:
  1180. action_names.append(device_config.action_name)
  1181. return {"code": 0, "msg": "", "data": action_names}
  1182. except Exception as e:
  1183. logger.error(f"查询货号 {goods_art_no} 的动作名称失败: {str(e)}")
  1184. return {"code": 1, "msg": f"查询失败: {str(e)}", "data": None}
  1185. finally:
  1186. session.close()
  1187. @app.post("/delect_goods_arts", description="通过货号删除记录")
  1188. def delect_goods_arts(params: PhotoRecordDelete):
  1189. limit_path = "{}/{}".format(settings.OUTPUT_DIR,
  1190. time.strftime("%Y-%m-%d", time.localtime(time.time()))
  1191. )
  1192. handlerFolderDelete(limit_path, params.goods_art_nos, False)
  1193. session = SqlQuery()
  1194. photos = CRUD(PhotoRecord)
  1195. for item in params.goods_art_nos:
  1196. settings.syncPhotoRecord({"goods_art_no": item}, action_type=2)
  1197. photos.deleteConditions(session, conditions={"goods_art_no": item, "delete_time": None})
  1198. session.close()
  1199. return {
  1200. "code": 0,
  1201. "msg": "操作成功",
  1202. "data": None,
  1203. }
  1204. @app.post("/delete_all_goods_arts", description="删除所有拍照记录")
  1205. def delete_all_goods_arts():
  1206. """
  1207. 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
  1208. """
  1209. session = SqlQuery()
  1210. try:
  1211. # 1. 获取所有存在的货号
  1212. photos = CRUD(PhotoRecord)
  1213. # 查询所有 distinct 的 goods_art_no
  1214. statement = select(PhotoRecord.goods_art_no).where(PhotoRecord.delete_time == None).distinct()
  1215. all_goods_art_nos = session.exec(statement).all()
  1216. if not all_goods_art_nos:
  1217. raise UnicornException("没有可删除的货号")
  1218. # 2. 清理文件目录 (复用现有的 handlerFolderDelete 逻辑)
  1219. # limit_path = "{}/{}".format(settings.OUTPUT_DIR,
  1220. # time.strftime("%Y-%m-%d", time.localtime(time.time()))
  1221. # )
  1222. # 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
  1223. # 这里保持同步以符合原接口风格,但需注意超时风险
  1224. # handlerFolderDelete(limit_path, list(all_goods_art_nos), False)
  1225. # 3. 同步线上状态 (如果需要)
  1226. settings.syncBatchPhotoRecordDelete()
  1227. # 4. 批量删除数据库记录
  1228. # 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
  1229. photos.deleteConditions(session, conditions={"delete_time": None})
  1230. session.commit() # 确保事务提交
  1231. return {
  1232. "code": 0,
  1233. "msg": f"成功删除 {len(all_goods_art_nos)} 个货号的所有记录",
  1234. "data": None,
  1235. }
  1236. except Exception as e:
  1237. session.rollback()
  1238. logger.error(f"删除所有记录失败: {str(e)}")
  1239. raise UnicornException(f"删除失败: {str(e)}")
  1240. finally:
  1241. session.close()
  1242. def query_config_by_key(key_name):
  1243. """
  1244. 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
  1245. Args:
  1246. key_name (str): 要查询的key名称
  1247. Returns:
  1248. dict or None: 匹配的对象或None(如果没有找到)
  1249. """
  1250. try:
  1251. # 获取所有配置数据
  1252. configs = json.load(open("sys_configs.json", encoding="utf-8"))
  1253. # 遍历配置数据查找匹配的key
  1254. for config in configs:
  1255. if config.get("key") == key_name:
  1256. return config
  1257. return None
  1258. except Exception as e:
  1259. print(f"查询配置时出错: {e}")
  1260. return None
  1261. @app.get("/get_sys_config", description="查询系统配置")
  1262. def get_sys_config(key: str = None):
  1263. if key == None:
  1264. return {"code": 1, "msg": "参数错误", "data": None}
  1265. session = SqlQuery()
  1266. photos = CRUD(SysConfigs)
  1267. item = photos.read(session, conditions={"key": key})
  1268. search_data = None if item == None else json.loads(item.value)
  1269. if search_data == None:
  1270. sys_config_json = query_config_by_key(key)
  1271. if sys_config_json != None:
  1272. config = SysConfigs(**sys_config_json)
  1273. session.add(config)
  1274. session.commit() # 合并事务提交
  1275. search_data = json.loads(sys_config_json.get("value"))
  1276. session.close()
  1277. return {
  1278. "code": 0,
  1279. "msg": "",
  1280. "data": search_data,
  1281. }
  1282. @app.post("/update_left_right_config", description="更新左右脚配置")
  1283. def update_left_right_config(params: LeftRightParams):
  1284. session = SqlQuery()
  1285. sysConfig = CRUD(SysConfigs)
  1286. model = sysConfig.read(session, conditions={"key": "action_configs"})
  1287. if model == None:
  1288. return {"code": 1, "msg": "配置不存在", "data": None}
  1289. config_value = json.loads(model.value)
  1290. config_value[params.type] = params.id
  1291. update_value = json.dumps(config_value)
  1292. # 走编辑逻辑
  1293. kwargs = {"key": "action_configs", "value": update_value}
  1294. save_device_config = sysConfig.updateConditions(
  1295. session, conditions={"key": "action_configs"}, **kwargs
  1296. )
  1297. session.close()
  1298. return {"code": 0, "msg": "操作成功", "data": None}
  1299. @app.post("/update_record", description="更新拍照记录")
  1300. def update_record(params: RecordUpdate):
  1301. session = SqlQuery()
  1302. photoRecord = CRUD(PhotoRecord)
  1303. model = photoRecord.read(session, conditions={"id": params.id, "delete_time": None})
  1304. if model == None:
  1305. return {"code": 1, "msg": "记录不存在", "data": None}
  1306. kwargs = params.__dict__
  1307. save_device_config = photoRecord.update(session, obj_id=params.id, **kwargs)
  1308. session.close()
  1309. return {"code": 0, "msg": "操作成功", "data": save_device_config}
  1310. @app.post("/update_sys_configs", description="创建或修改系统配置")
  1311. def save_sys_configs(params: SysConfigParams):
  1312. session = SqlQuery()
  1313. sysConfig = CRUD(SysConfigs)
  1314. model = sysConfig.read(session, conditions={"key": params.key})
  1315. if model == None:
  1316. return {"code": 1, "msg": "配置不存在", "data": None}
  1317. # 走编辑逻辑
  1318. kwargs = params.__dict__
  1319. save_device_config = sysConfig.updateConditions(
  1320. session, conditions={"key": params.key}, **kwargs
  1321. )
  1322. session.close()
  1323. return {"code": 0, "msg": "操作成功", "data": save_device_config}
  1324. @app.post("/create_main_image", description="创建主图测试")
  1325. def create_main_image(params: MaineImageTest):
  1326. file_path = params.file_path
  1327. onePic = OnePicTest(pic_path=file_path)
  1328. main_out_path = onePic.HandlerMainImage()
  1329. return {"code": 0, "msg": "操作成功", "data": {"main_out_path": main_out_path}}
  1330. def insertEmptyLogoList(session):
  1331. """插入空logo列表"""
  1332. data = {"key": "logo_configs", "value": "[]"}
  1333. config = SysConfigs(**data)
  1334. session.add(config)
  1335. session.commit()
  1336. item = SysConfigs()
  1337. item.key = "logo_configs"
  1338. item.value = "[]"
  1339. return item
  1340. @app.get("/logo_list", description="logo列表")
  1341. def logo_list():
  1342. logo_dir = "{}/data/logo/".format(os.getcwd()).replace("\\", "/")
  1343. check_path(logo_dir)
  1344. logo_files = os.listdir(logo_dir)
  1345. logo_list = []
  1346. for logoItem in logo_files:
  1347. logo_list.append(f"{logo_dir}{logoItem}")
  1348. return {"code": 0, "msg": "操作成功", "data": logo_list}
  1349. @app.post("/add_logo", description="添加logo")
  1350. def add_logo(params: LogoParams):
  1351. logo_path = params.logo_path.replace("\\", "/")
  1352. session = SqlQuery()
  1353. sysConfig = CRUD(SysConfigs)
  1354. item = sysConfig.read(session, conditions={"key": "logo_configs"})
  1355. if item == None:
  1356. item = insertEmptyLogoList(session)
  1357. if os.path.isfile(logo_path) == False:
  1358. return {"code": 1, "msg": "logo文件不存在", "data": None}
  1359. logo_dir = "{}/data/logo/".format(os.getcwd()).replace("\\", "/")
  1360. check_path(logo_dir)
  1361. session.close()
  1362. fpath, fname = os.path.split(logo_path)
  1363. logo_path_info = logo_dir + fname
  1364. shutil.copy(logo_path, logo_path_info) # 复制文件
  1365. logo_files = os.listdir(logo_dir)
  1366. logo_list = []
  1367. for logoItem in logo_files:
  1368. logo_list.append(f"{logo_dir}{logoItem}")
  1369. return {
  1370. "code": 0,
  1371. "msg": "",
  1372. "data": {"logo": logo_path_info},
  1373. }
  1374. @app.post("/delete_logo", description="删除logo")
  1375. def delete_logo(params: LogoParamsupdate):
  1376. logo_path = params.path
  1377. if os.path.isfile(logo_path) == False:
  1378. return {"code": 1, "msg": "logo文件不存在", "data": None}
  1379. os.remove(logo_path)
  1380. logo_dir = "{}/data/logo/".format(os.getcwd()).replace("\\", "/")
  1381. check_path(logo_dir)
  1382. logo_files = os.listdir(logo_dir)
  1383. logo_list = []
  1384. for logoItem in logo_files:
  1385. logo_list.append(f"{logo_dir}{logoItem}")
  1386. return {"code": 0, "msg": "操作成功", "data": logo_list}
  1387. @app.post("/close_other_window", description="关闭窗口")
  1388. def close_other_window():
  1389. hwnd_list = []
  1390. def callback(hwnd, _):
  1391. title = GetWindowText(hwnd)
  1392. if title == "digiCamControl by Duka Istvan":
  1393. hwnd_list.append(hwnd)
  1394. EnumWindows(callback, None)
  1395. if hwnd_list:
  1396. hwnd = hwnd_list[0]
  1397. win32gui.PostMessage(hwnd, win32con.WM_CLOSE, 0, 0)
  1398. return {"code": 0, "msg": "关闭成功", "data": {"status": True}}
  1399. return {"code": 0, "msg": "关闭失败", "data": {"status": False}}
  1400. def syncUserJsonConfigs(token):
  1401. hlm_token = token
  1402. headers = {
  1403. "Authorization": f"Bearer {hlm_token}",
  1404. "content-type": "application/json",
  1405. }
  1406. # 追加配置参数 machine_type 拍照机设备类型;0鞋;1服装
  1407. url = settings.DOMAIN + f"/api/ai_image/camera_machine/get_all_user_configs?machine_type={MACHINE_TYPE}"
  1408. result = requests.get(url=url, headers=headers)
  1409. sys_configs = result.json().get("data", {}).get("configs")
  1410. session = SqlQuery()
  1411. sysConfigs = CRUD(SysConfigs)
  1412. if sys_configs:
  1413. sysConfigs.deleteConditions(session, {})
  1414. configList = []
  1415. for config_keys in sys_configs.keys():
  1416. sys_configs[config_keys]
  1417. configList.append(
  1418. {
  1419. "key": config_keys,
  1420. "value": json.dumps(sys_configs[config_keys], ensure_ascii=False),
  1421. }
  1422. )
  1423. batch_insert_sys_configs(session, configList)
  1424. session.close()
  1425. @app.post("/sync_sys_configs", description="同步线上配置到本地")
  1426. def sync_sys_configs(params: SyncLocalConfigs):
  1427. hlm_token = params.token
  1428. env = params.env
  1429. settings.USER_TOKEN = hlm_token
  1430. settings.USER_ENV = env
  1431. settings.USER_CAMERAS = params.camera_counts
  1432. headers = {
  1433. "Authorization": f"Bearer {hlm_token}",
  1434. "content-type": "application/json",
  1435. }
  1436. # 追加配置参数 machine_type 拍照机设备类型;0鞋;1服装
  1437. url = settings.getDoman(env) + f"/api/ai_image/camera_machine/get_all_user_configs?machine_type={MACHINE_TYPE}"
  1438. result = requests.get(url=url, headers=headers)
  1439. sys_configs = result.json().get("data", {}).get("configs")
  1440. session = SqlQuery()
  1441. sysConfigs = CRUD(SysConfigs)
  1442. if sys_configs:
  1443. sysConfigs.deleteConditions(session, {})
  1444. configList = []
  1445. for config_keys in sys_configs.keys():
  1446. sys_configs[config_keys]
  1447. configList.append(
  1448. {
  1449. "key": config_keys,
  1450. "value": json.dumps(sys_configs[config_keys], ensure_ascii=False),
  1451. }
  1452. )
  1453. batch_insert_sys_configs(session, configList)
  1454. else:
  1455. all_configs = sysConfigs.read_all(session)
  1456. localConfigData = {}
  1457. for local_config in all_configs:
  1458. localConfigData[local_config.key] = json.loads(local_config.value)
  1459. data_json = json.dumps({"configs": localConfigData, "machine_type": MACHINE_TYPE}, ensure_ascii=False)
  1460. # 同步本地到线上
  1461. url = settings.DOMAIN + "/api/ai_image/camera_machine/update_all_user_configs"
  1462. requests.post(url=url, headers=headers, data=data_json)
  1463. session.close()
  1464. return {"code": 0, "msg": "操作成功", "data": None}
  1465. @app.post("/sync_actions", description="同步左右脚配置到本地")
  1466. def sync_action_configs(params: SyncLocalConfigs):
  1467. hlm_token = params.token
  1468. env = params.env
  1469. settings.USER_TOKEN = hlm_token
  1470. settings.USER_ENV = env
  1471. settings.USER_CAMERAS = params.camera_counts
  1472. headers = {
  1473. "Authorization": f"Bearer {hlm_token}",
  1474. "content-type": "application/json",
  1475. }
  1476. url = settings.getDoman(env) + f"/api/ai_image/camera_machine/get_all_user_tabs?machine_type={MACHINE_TYPE}"
  1477. result = requests.get(url=url, headers=headers)
  1478. session = SqlQuery()
  1479. deviceConfigs = CRUD(DeviceConfig)
  1480. deviceConfigTabs = CRUD(DeviceConfigTabs)
  1481. tabs = result.json().get("data", {}).get("tabs")
  1482. actions = result.json().get("data", {}).get("actions")
  1483. if tabs:
  1484. # 先删除再创建
  1485. deviceConfigTabs.deleteConditions(session, {})
  1486. deviceConfigs.deleteConditions(session, {}, False)
  1487. batch_insert_device_configsNew(session, tabs, actions)
  1488. else:
  1489. all_actions = deviceConfigs.read_all(session)
  1490. all_tabs = deviceConfigTabs.read_all(session)
  1491. all_tabs_json = [item.model_dump(mode='json') for item in all_tabs]
  1492. all_actions_json = [item.model_dump(mode="json") for item in all_actions]
  1493. data_json = json.dumps(
  1494. {"tabs": all_tabs_json, "actions": all_actions_json, "machine_type": MACHINE_TYPE}, ensure_ascii=False
  1495. )
  1496. sync_url = settings.DOMAIN + "/api/ai_image/camera_machine/sync_actions"
  1497. result = requests.post(url=sync_url, headers=headers, data=data_json)
  1498. print("result<><><>", result.content)
  1499. tabs = result.json().get("data", {}).get("tabs")
  1500. actions = result.json().get("data", {}).get("actions")
  1501. insert_action_ids = result.json().get("data", {}).get("insert_action_ids")
  1502. if tabs:
  1503. deviceConfigTabs.deleteConditions(session, {})
  1504. deviceConfigs.deleteConditions(session, {})
  1505. batch_insert_device_configsNew(session, tabs, actions)
  1506. if insert_action_ids:
  1507. for action_item in insert_action_ids:
  1508. photos = CRUD(PhotoRecord)
  1509. old_id = action_item.get("old_id")
  1510. new_id = action_item.get("new_id")
  1511. kwargs = {"action_id": new_id}
  1512. photos.updateConditionsAll(
  1513. session, conditions={"action_id": old_id}, **kwargs
  1514. )
  1515. # 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
  1516. # syncUserJsonConfigs(hlm_token)
  1517. session.close()
  1518. return {"code": 0, "msg": "操作成功", "data": None}
  1519. @app.get("/get_goods_image_json", description="关闭窗口")
  1520. def get_goods_image_json(goods_art_no: str, token: str):
  1521. remove_pic_ins = RemoveBgALi()
  1522. if goods_art_no == None or goods_art_no == "":
  1523. # 判断货号是否存在
  1524. raise UnicornException("货号不能为空")
  1525. session = SqlQuery()
  1526. photoRecord = CRUD(PhotoRecord)
  1527. goods_art_record = photoRecord.read_all(
  1528. session, conditions={"goods_art_no": goods_art_no, "delete_time": None}
  1529. )
  1530. if not goods_art_record:
  1531. raise UnicornException("该货号拍摄记录不存在")
  1532. action_id_array = [record.action_id for record in goods_art_record]
  1533. devices = CRUD(DeviceConfig)
  1534. devices_record = devices.read_all(session, conditions={"id": action_id_array})
  1535. # 提取 action_name 字段并拼接
  1536. action_names = [str(record.action_name) for record in devices_record]
  1537. action_names_str = ",".join(action_names)
  1538. image_arrays = []
  1539. for goods_art_record_item in goods_art_record:
  1540. image_path = goods_art_record_item.image_path
  1541. try:
  1542. image_url = uploadImage(remove_pic_ins=remove_pic_ins, token=token, local_path=image_path)
  1543. except Exception as e:
  1544. raise UnicornException("网络异常,请重试")
  1545. image_arrays.append(image_url)
  1546. session.close()
  1547. return {"code": 0, "msg": "关闭失败",
  1548. "data": {"customer_template_images": image_arrays, "template_image_order": action_names_str}}
  1549. def uploadImage(remove_pic_ins, token: str, local_path: str) -> str:
  1550. im = remove_pic_ins.get_image_cut_new(file_path=local_path)
  1551. post_headers = {"Authorization": "Bearer " + token}
  1552. url = settings.DOMAIN + "/api/upload"
  1553. resultData = requests.post(
  1554. url, files={"file": im}, headers=post_headers
  1555. ).json()
  1556. return resultData["data"]["url"]
  1557. @app.post("/remove_background", description="图片抠图-http请求")
  1558. async def remove_background(params: PhotoRecordRemoveBackground):
  1559. # await socket_manager.send_message(msg="测试")
  1560. executor = ThreadPoolExecutor(max_workers=4)
  1561. obj = None
  1562. token = params.token
  1563. token = "Bearer " + token
  1564. uuid = mine_uuid.uuid4().hex
  1565. run_main = RunMain(obj, token, uuid)
  1566. goods_art_no_arrays = params.goods_art_nos
  1567. limit_path = "{}/{}".format(settings.OUTPUT_DIR,
  1568. time.strftime("%Y-%m-%d", time.localtime(time.time()))
  1569. )
  1570. try:
  1571. move_folder_array = handlerFolderDelete(limit_path, goods_art_no_arrays, True)
  1572. except UnicornException as e:
  1573. raise UnicornException(e.msg)
  1574. # 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
  1575. session = SqlQuery()
  1576. for goods_art_no in goods_art_no_arrays:
  1577. pr = CRUD(PhotoRecord)
  1578. images = pr.read_all(session, conditions={"goods_art_no": goods_art_no, "delete_time": None})
  1579. if not images:
  1580. 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")
  1581. if move_folder_array.get(goods_art_no) == None:
  1582. image_dir = "{}/data/".format(os.getcwd()).replace("\\", "/")
  1583. check_path(image_dir)
  1584. for idx, itemImg in enumerate(images):
  1585. if itemImg.image_path == "" or itemImg.image_path == None:
  1586. 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")
  1587. # new_file_name = (
  1588. # str(idx)+"_"+str(itemImg.goods_art_no) + "_" + str(idx) + ".jpg"
  1589. # )
  1590. # if not os.path.exists(
  1591. # image_dir + "/" + os.path.basename(new_file_name)
  1592. # ):
  1593. # shutil.copy(itemImg.image_path, image_dir + new_file_name)
  1594. dealImage = DealImage(image_dir)
  1595. resFlag, path = dealImage.dealMoveImageV2(
  1596. goods_art_no=goods_art_no,
  1597. )
  1598. if not resFlag:
  1599. raise UnicornException(f"抠图操作异常,请检查目录是否存在,或者权限不足")
  1600. session.close()
  1601. # try:
  1602. cutout_mode = settings.getSysConfigs("other_configs", "cutout_mode", "普通抠图")
  1603. match cutout_mode:
  1604. case "普通抠图":
  1605. cutOutMode = "1"
  1606. case "精细化抠图":
  1607. cutOutMode = "2"
  1608. case "旗舰AI抠图":
  1609. cutOutMode = "3"
  1610. case _:
  1611. cutOutMode = "1"
  1612. config_data = {
  1613. "image_dir": limit_path,
  1614. "image_order": (
  1615. "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"
  1616. ),
  1617. "goods_art_no": "",
  1618. "goods_art_nos": goods_art_no_arrays,
  1619. "is_check_number": False,
  1620. "resize_image_view": "后跟",
  1621. "cutout_mode": cutOutMode,
  1622. "logo_path": "",
  1623. "special_goods_art_no_folder_line": "",
  1624. "is_use_excel": False, # 是否使用excel
  1625. "excel_path": "", # excel路径
  1626. "is_check_color_is_all": False,
  1627. "cutout_is_pass": True,
  1628. "assigned_page_dict": {},
  1629. "detail_is_pass": True,
  1630. "upload_is_pass": False,
  1631. "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
  1632. "is_filter": False,
  1633. "temp_class": {},
  1634. "temp_name": "",
  1635. "temp_name_list": [],
  1636. "target_error_folder": f"{limit_path}/软件-生成详情错误",
  1637. "success_handler": [],
  1638. }
  1639. try:
  1640. loop = asyncio.get_event_loop()
  1641. return_data = await loop.run_in_executor(
  1642. executor, partial(run_main.check_before_cutout, config_data)
  1643. )
  1644. cutout_res = await loop.run_in_executor(
  1645. executor,
  1646. partial(run_main.check_for_cutout_image_first_call_back, return_data),
  1647. )
  1648. handler_result = []
  1649. have_handler_keys = move_folder_array.keys()
  1650. if cutout_res:
  1651. handler_result_folder = f"{config_data['image_dir']}"
  1652. for goods_art_item in goods_art_no_arrays:
  1653. handler_result.append({
  1654. "goods_art_no": goods_art_item,
  1655. "success": True,
  1656. "info": "处理成功",
  1657. })
  1658. else:
  1659. return {"code": 1, "message": "抠图失败", "data": None}
  1660. if len(have_handler_keys) == len(goods_art_no_arrays) or (len(have_handler_keys) == 0 and cutout_res):
  1661. handler_result_folder = handler_result_folder.replace("\\", "/")
  1662. success_items = [item for item in handler_result if item.get('success') == True]
  1663. cutout_folder = handler_result_folder + "/" + success_items[0].get("goods_art_no") + "/800x800" if len(
  1664. success_items) > 0 else ""
  1665. progress = {
  1666. "status": "处理完成",
  1667. "current": len(goods_art_no_arrays),
  1668. "total": len(goods_art_no_arrays),
  1669. "error": 0,
  1670. "folder": cutout_folder,
  1671. }
  1672. return {"code": 0, "message": "抠图完成",
  1673. "data": {"output_folder": handler_result_folder, "list": handler_result, "progress": progress}}
  1674. except UnicornException as e:
  1675. raise UnicornException(e.msg)
  1676. except Exception as e:
  1677. print("error", e)
  1678. raise UnicornException(f"抠图异常,请稍后重试:{e}")
  1679. @app.post("/syncPhotoRecord", description="同步本地拍照记录-和output目录")
  1680. async def syncPhotoRecord(params: SyncPhotoRecord):
  1681. # 查询所有不重复的货号及对应的最大时间,进行分页
  1682. settings.USER_TOKEN = params.token
  1683. settings.USER_ENV = params.env
  1684. settings.USER_CAMERAS = params.camera_counts
  1685. syncStatus = settings.checkRecordSyncStatus()
  1686. if syncStatus == True:
  1687. # 同步过就无需再同步
  1688. return {"code": 0, "message": "同步完成", "data": None}
  1689. session = SqlQuery()
  1690. base_statement = (
  1691. select(PhotoRecord)
  1692. .where(PhotoRecord.delete_time == None)
  1693. )
  1694. paginated_results = session.exec(base_statement).all()
  1695. def model_to_dict(model):
  1696. """将SQLAlchemy模型对象转换为字典,排除_sa_instance_state"""
  1697. result = {}
  1698. for column in model.__table__.columns:
  1699. result[column.name] = getattr(model, column.name)
  1700. return result
  1701. json_results = []
  1702. for result in paginated_results:
  1703. # 使用自定义函数将SQLAlchemy对象转换为字典
  1704. json_results.append(model_to_dict(result))
  1705. # 最终转换为JSON字符串
  1706. settings.syncPhotoRecord(json_results, action_type=0)
  1707. session.close()
  1708. return {"code": 0, "message": "同步完成", "data": None}
  1709. def copy_directory_walk(src, dst):
  1710. """
  1711. 使用 os.walk() 遍历并复制目录
  1712. """
  1713. for root, dirs, files in os.walk(src):
  1714. # 计算相对路径
  1715. rel_path = os.path.relpath(root, src)
  1716. dst_dir = os.path.join(dst, rel_path) if rel_path != '.' else dst
  1717. # 创建目标目录
  1718. if not os.path.exists(dst_dir):
  1719. os.makedirs(dst_dir)
  1720. # 复制文件
  1721. for file in files:
  1722. src_file = os.path.join(root, file)
  1723. dst_file = os.path.join(dst_dir, file)
  1724. shutil.copy2(src_file, dst_file)
  1725. def rename_file_safe(src, dst, overwrite=True):
  1726. """
  1727. 安全地重命名文件
  1728. Args:
  1729. src: 源文件路径
  1730. dst: 新文件路径
  1731. overwrite: 是否覆盖已存在的文件
  1732. """
  1733. try:
  1734. # 检查源文件是否存在
  1735. if not os.path.exists(src):
  1736. return False, f"源文件 {src} 不存在"
  1737. # 检查目标文件是否存在
  1738. if os.path.exists(dst) and not overwrite:
  1739. return False, f"目标文件 {dst} 已存在,设置 overwrite=True 以覆盖"
  1740. # 执行重命名
  1741. os.rename(src, dst)
  1742. return True, f"文件已成功从 {src} 重命名为 {dst}"
  1743. except OSError as e:
  1744. return False, f"重命名失败: {str(e)}"
  1745. @app.post("/rename_shadow_folder", description="同步本地拍照记录-和output目录")
  1746. async def rename_shadow_folder(params: RenameShadow):
  1747. # 货号数组
  1748. goods_art_nos = params.goods_art_nos
  1749. # for goods_art_no in goods_art_nos:
  1750. # 查询这些货号的所有记录
  1751. goods_art_dict = {}
  1752. for goods in goods_art_nos:
  1753. query = (
  1754. select(PhotoRecord, DeviceConfig.action_name)
  1755. .outerjoin(DeviceConfig, PhotoRecord.action_id == DeviceConfig.id)
  1756. .where(PhotoRecord.goods_art_no.in_(goods_art_nos))
  1757. .where(PhotoRecord.delete_time == None)
  1758. .order_by(PhotoRecord.goods_art_no, asc("id")) # 按货号分组并按ID倒序
  1759. )
  1760. all_items = session.exec(query).mappings().all()
  1761. if len(all_items) == 0: # 如果没有记录则返回
  1762. # raise UnicornException("暂无可用货号")
  1763. continue
  1764. goods_art_rename_list = []
  1765. for item in all_items:
  1766. if item["action_name"] == None:
  1767. continue
  1768. data = {"goods_art_no": item.PhotoRecord.goods_art_no, "action_name": item["action_name"],
  1769. "image_index": item.PhotoRecord.image_index}
  1770. goods_art_rename_list.append(data)
  1771. goods_art_dict[goods] = goods_art_rename_list
  1772. outputDir = settings.OUTPUT_DIR
  1773. if not os.path.exists(outputDir):
  1774. raise UnicornException(f"生成目录[{outputDir}]暂无文件,请拍摄或抠图后处理")
  1775. outputList = os.listdir(outputDir)
  1776. success_result = []
  1777. for firstDir in outputList:
  1778. secondPath = f"{outputDir}\\{firstDir}"
  1779. for goodsArt in goods_art_dict:
  1780. goods_art_no_obj = goods_art_dict[goodsArt]
  1781. goodsArtPath = f"{secondPath}\\{goodsArt}"
  1782. if not os.path.exists(goodsArtPath):
  1783. continue
  1784. renameSrcPath = f"{goodsArtPath}\\阴影图处理"
  1785. renameDstPath = f"{goodsArtPath}\\阴影图处理-重命名"
  1786. if not os.path.exists(renameSrcPath):
  1787. print("阴影图目录不存在...", "不处理")
  1788. continue
  1789. if len(os.listdir(renameSrcPath)) == 0:
  1790. print("阴影图处理目录无内容...", "不处理")
  1791. continue
  1792. if not os.path.exists(renameDstPath):
  1793. try:
  1794. copy_directory_walk(renameSrcPath, renameDstPath)
  1795. except Exception as e:
  1796. print("重命名失败", e)
  1797. continue
  1798. dstPath = os.listdir(renameDstPath)
  1799. for dts_files in dstPath:
  1800. for goods_obj in goods_art_no_obj:
  1801. goods_art_no_name = goods_obj["goods_art_no"]
  1802. image_index = goods_obj["image_index"]
  1803. action_name = goods_obj["action_name"]
  1804. image_index += 1
  1805. basic_name = f"{goods_art_no_name}({image_index})"
  1806. if basic_name in dts_files:
  1807. if "抠图" in dts_files:
  1808. is_ok, msg = rename_file_safe(f"{renameDstPath}\\{dts_files}",
  1809. f"{renameDstPath}\\{basic_name}_{action_name}_抠图.png")
  1810. print(is_ok, msg)
  1811. if "阴影" in dts_files:
  1812. is_ok, msg = rename_file_safe(f"{renameDstPath}\\{dts_files}",
  1813. f"{renameDstPath}\\{basic_name}_{action_name}_阴影.png")
  1814. print(is_ok, msg)
  1815. print("goods_obj", goods_obj)
  1816. success_result.append({"goods_art_no": goodsArt, "path": renameDstPath})
  1817. return {"code": 0, "message": "重命名完成", "data": {"result": success_result}}
  1818. @app.get("/minimize_window", description="最小化窗口")
  1819. def minimize_window(window_title: str):
  1820. hwnd_list = []
  1821. if window_title == "" or window_title == None:
  1822. window_title = "Smart Shooter"
  1823. window_title = window_title.lower()
  1824. def callback(hwnd, _):
  1825. try:
  1826. title = GetWindowText(hwnd)
  1827. if not title:
  1828. return True
  1829. title = title.lower()
  1830. if window_title in title or title == window_title:
  1831. hwnd_list.append(hwnd)
  1832. except Exception as e:
  1833. print("最小化异常", e)
  1834. pass
  1835. return True
  1836. EnumWindows(callback, None)
  1837. # print("hwnd_list", hwnd_list)
  1838. if hwnd_list:
  1839. for hwnd in hwnd_list:
  1840. win32gui.ShowWindow(hwnd, win32con.SW_MINIMIZE)
  1841. return {"code": 0, "msg": "最小化成功", "data": {"status": True}}
  1842. return {"code": 0, "msg": "最小化失败", "data": {"status": False}}
  1843. def _sync_import_images_logic(dir_path: str, goods_art_nos: str = None):
  1844. """
  1845. 同步执行的文件遍历和数据库插入逻辑
  1846. :param dir_path: 图片根目录
  1847. :param goods_art_nos: 指定货号。
  1848. """
  1849. if not os.path.exists(dir_path):
  1850. raise UnicornException(f"目录不存在: {dir_path}")
  1851. session = SqlQuery()
  1852. # photo_record_crud = CRUD(PhotoRecord)
  1853. # 支持的图片扩展名
  1854. image_extensions = ('.jpg', '.jpeg', '.png', '.bmp', '.gif', '.webp')
  1855. success_count = 0
  1856. fail_count = 0
  1857. try:
  1858. # ================== 阶段 1: 收集所有待处理的唯一货号 ==================
  1859. goods_art_nos_to_check = set()
  1860. # 用于后续遍历时的映射关系: {root_path: goods_art_no}
  1861. # 避免在第二阶段再次进行复杂的路径解析
  1862. dir_goods_map = {}
  1863. for root, dirs, files in os.walk(dir_path):
  1864. current_goods_art_no = None
  1865. # 如果没有指定全局货号,尝试从相对路径提取货号
  1866. if not current_goods_art_no:
  1867. relative_path = os.path.relpath(root, dir_path)
  1868. parts = relative_path.split(os.sep)
  1869. # 跳过根目录本身,只处理子目录作为货号的情况
  1870. if relative_path == ".":
  1871. continue
  1872. # 取第一层目录名作为货号
  1873. current_goods_art_no = parts[0]
  1874. if current_goods_art_no:
  1875. if current_goods_art_no not in goods_art_nos:
  1876. raise UnicornException(f"可用货号超出权限范围: {root}")
  1877. goods_art_nos_to_check.add(current_goods_art_no)
  1878. # 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
  1879. dir_goods_map[root] = current_goods_art_no
  1880. # ================== 阶段 2: 批量查询数据库中已存在的货号 ==================
  1881. existing_goods_nos = set()
  1882. if goods_art_nos_to_check:
  1883. # 使用 in_ 进行批量查询,只获取货号字段即可,减少数据传输
  1884. # 注意:这里假设 PhotoRecord 有 goods_art_no 字段
  1885. statement = select(PhotoRecord.goods_art_no).where(
  1886. and_(
  1887. PhotoRecord.goods_art_no.in_(list(goods_art_nos_to_check)),
  1888. PhotoRecord.delete_time == None
  1889. )
  1890. ).distinct()
  1891. db_results = session.exec(statement).all()
  1892. existing_goods_nos = set(db_results)
  1893. # ================== 阶段 3: 预校验,如果有已存在的货号,直接报错 ==================
  1894. if existing_goods_nos:
  1895. # 将集合转换为列表或字符串展示给用户
  1896. existing_list = ", ".join(existing_goods_nos)
  1897. 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}]")
  1898. # ================== 阶段 4: 执行文件遍历和数据插入 ==================
  1899. # 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
  1900. for root, dirs, files in os.walk(dir_path):
  1901. # 获取当前目录对应的货号
  1902. current_goods_art_no = dir_goods_map.get(root)
  1903. # 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
  1904. if not current_goods_art_no:
  1905. continue
  1906. for idx, file in enumerate(files):
  1907. if file.lower().endswith(image_extensions):
  1908. full_path = os.path.join(root, file)
  1909. try:
  1910. data_to_insert = {
  1911. "image_path": full_path,
  1912. "goods_art_no": current_goods_art_no,
  1913. "action_id": 0,
  1914. "image_index": idx,
  1915. 'image_deal_mode': 0,
  1916. 'photo_create_time': datetime.datetime.now(),
  1917. "create_time": datetime.datetime.now(),
  1918. "update_time": datetime.datetime.now(),
  1919. }
  1920. new_record = PhotoRecord(**data_to_insert)
  1921. session.add(new_record)
  1922. success_count += 1
  1923. except Exception as e:
  1924. logger.error(f"导入图片失败 {full_path}: {str(e)}")
  1925. fail_count += 1
  1926. # 提交事务
  1927. session.commit()
  1928. logger.info(f"导入完成: 成功 {success_count}, 失败 {fail_count}")
  1929. return {
  1930. "message": "导入完成",
  1931. "success": success_count,
  1932. "failed": fail_count,
  1933. }
  1934. except UnicornException:
  1935. # 重新抛出自定义异常
  1936. raise
  1937. except Exception as e:
  1938. session.rollback()
  1939. logger.error(f"导入过程发生严重错误: {str(e)}")
  1940. raise e
  1941. finally:
  1942. session.close()
  1943. @app.post("/import_dirs")
  1944. async def import_images_from_dir(params: ImportDirs):
  1945. """
  1946. 遍历指定目录及其子目录,将图片路径导入数据库
  1947. """
  1948. dir_path = params.dir_path
  1949. goods_art_nos = params.goods_art_nos
  1950. # 基本安全检查,防止路径遍历攻击或无效路径
  1951. if not os.path.isdir(dir_path):
  1952. raise UnicornException(f"无效目录: {dir_path}")
  1953. try:
  1954. # 将阻塞的 IO 和 DB 操作放在线程池中执行
  1955. result = _sync_import_images_logic(dir_path, goods_art_nos)
  1956. return {"code": 0, "msg": "操作成功", "data": result}
  1957. except FileNotFoundError as e:
  1958. raise UnicornException(str(e))
  1959. except Exception as e:
  1960. logger.error(f"API 调用异常: {str(e)}")
  1961. raise UnicornException(f"{str(e)}")
  1962. def check_goods_art_no_cutout_dir(goods_art_no):
  1963. """
  1964. 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
  1965. :param goods_art_no: 货号
  1966. :return: 存在则返回货号目录地址,不存在或无文件返回None
  1967. """
  1968. if not goods_art_no or not os.path.exists(settings.OUTPUT_DIR):
  1969. return None
  1970. try:
  1971. for date_dir in os.listdir(settings.OUTPUT_DIR):
  1972. date_path = os.path.join(settings.OUTPUT_DIR, date_dir)
  1973. if not os.path.isdir(date_path):
  1974. continue
  1975. goods_art_no_path = os.path.join(date_path, goods_art_no)
  1976. if not os.path.isdir(goods_art_no_path):
  1977. continue
  1978. cutout_path = os.path.join(goods_art_no_path, "原始图_已抠图")
  1979. if not os.path.isdir(cutout_path):
  1980. continue
  1981. if os.listdir(cutout_path):
  1982. return goods_art_no_path
  1983. except Exception as e:
  1984. logger.error(f"检查货号已抠图目录异常: {str(e)}")
  1985. return None
  1986. @app.post("/generate_calib")
  1987. async def import_images_from_dir(params: CalibRequest):
  1988. goods_art_no = params.goods_art_no
  1989. goods_path = check_goods_art_no_cutout_dir(goods_art_no)
  1990. if not goods_path:
  1991. raise UnicornException("请先对图像进行抠图")
  1992. cutout_path = f"{goods_path}/原始图_已抠图/"
  1993. goods_nobg_fileds = natsorted(os.listdir(cutout_path))
  1994. print("goods_nobg_fileds", goods_nobg_fileds)
  1995. '''生成标定物像素宽高'''
  1996. from service.measure.objmark_api import Calibrator
  1997. calib = Calibrator(
  1998. topdown_png=cutout_path + goods_nobg_fileds[2],
  1999. topdown_known_length_mm=params.topdown_known_length_mm,
  2000. side_png=cutout_path + goods_nobg_fileds[0],
  2001. side_known_height_mm=params.side_known_height_mm,
  2002. front_png=cutout_path + goods_nobg_fileds[1], # 可选,单独标定宽度方向kw
  2003. front_known_width_mm=params.front_known_width_mm,
  2004. ).calibrate()
  2005. return {"code": 0, "msg": "操作成功", "data": calib}
  2006. @app.post("/measurer_object")
  2007. async def import_images_from_dir(params: MeasurerRequest):
  2008. '''生成标定物像素宽高'''
  2009. from service.measure.objmark_api import ShoeMeasurer
  2010. goods_art_no = params.goods_art_no
  2011. goods_path = check_goods_art_no_cutout_dir(goods_art_no)
  2012. if not goods_path:
  2013. raise UnicornException("请先对图像进行抠图")
  2014. cutout_path = f"{goods_path}/原始图_已抠图/"
  2015. goods_nobg_fileds = natsorted(os.listdir(cutout_path))
  2016. result = ShoeMeasurer(
  2017. topdown_png=cutout_path + goods_nobg_fileds[2],
  2018. side_png=cutout_path + goods_nobg_fileds[0],
  2019. front_png=cutout_path + goods_nobg_fileds[1], # 可选,单独标定宽度方向kw
  2020. calib=params.calib,
  2021. debug=False, # 保存 result_*.jpg 标注图
  2022. ).measure()
  2023. result["goods_path"] = goods_path
  2024. return {"code": 0, "msg": "操作成功", "data": result}