api.py 84 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716717718719720721722723724725726727728729730731732733734735736737738739740741742743744745746747748749750751752753754755756757758759760761762763764765766767768769770771772773774775776777778779780781782783784785786787788789790791792793794795796797798799800801802803804805806807808809810811812813814815816817818819820821822823824825826827828829830831832833834835836837838839840841842843844845846847848849850851852853854855856857858859860861862863864865866867868869870871872873874875876877878879880881882883884885886887888889890891892893894895896897898899900901902903904905906907908909910911912913914915916917918919920921922923924925926927928929930931932933934935936937938939940941942943944945946947948949950951952953954955956957958959960961962963964965966967968969970971972973974975976977978979980981982983984985986987988989990991992993994995996997998999100010011002100310041005100610071008100910101011101210131014101510161017101810191020102110221023102410251026102710281029103010311032103310341035103610371038103910401041104210431044104510461047104810491050105110521053105410551056105710581059106010611062106310641065106610671068106910701071107210731074107510761077107810791080108110821083108410851086108710881089109010911092109310941095109610971098109911001101110211031104110511061107110811091110111111121113111411151116111711181119112011211122112311241125112611271128112911301131113211331134113511361137113811391140114111421143114411451146114711481149115011511152115311541155115611571158115911601161116211631164116511661167116811691170117111721173117411751176117711781179118011811182118311841185118611871188118911901191119211931194119511961197119811991200120112021203120412051206120712081209121012111212121312141215121612171218121912201221122212231224122512261227122812291230123112321233123412351236123712381239124012411242124312441245124612471248124912501251125212531254125512561257125812591260126112621263126412651266126712681269127012711272127312741275127612771278127912801281128212831284128512861287128812891290129112921293129412951296129712981299130013011302130313041305130613071308130913101311131213131314131513161317131813191320132113221323132413251326132713281329133013311332133313341335133613371338133913401341134213431344134513461347134813491350135113521353135413551356135713581359136013611362136313641365136613671368136913701371137213731374137513761377137813791380138113821383138413851386138713881389139013911392139313941395139613971398139914001401140214031404140514061407140814091410141114121413141414151416141714181419142014211422142314241425142614271428142914301431143214331434143514361437143814391440144114421443144414451446144714481449145014511452145314541455145614571458145914601461146214631464146514661467146814691470147114721473147414751476147714781479148014811482148314841485148614871488148914901491149214931494149514961497149814991500150115021503150415051506150715081509151015111512151315141515151615171518151915201521152215231524152515261527152815291530153115321533153415351536153715381539154015411542154315441545154615471548154915501551155215531554155515561557155815591560156115621563156415651566156715681569157015711572157315741575157615771578157915801581158215831584158515861587158815891590159115921593159415951596159715981599160016011602160316041605160616071608160916101611161216131614161516161617161816191620162116221623162416251626162716281629163016311632163316341635163616371638163916401641164216431644164516461647164816491650165116521653165416551656165716581659166016611662166316641665166616671668166916701671167216731674167516761677167816791680168116821683168416851686168716881689169016911692169316941695169616971698169917001701170217031704170517061707170817091710171117121713171417151716171717181719172017211722172317241725172617271728172917301731173217331734173517361737173817391740174117421743174417451746174717481749175017511752175317541755175617571758175917601761176217631764176517661767176817691770177117721773177417751776177717781779178017811782178317841785178617871788178917901791179217931794179517961797179817991800180118021803180418051806180718081809181018111812181318141815181618171818181918201821182218231824182518261827182818291830183118321833183418351836183718381839184018411842184318441845184618471848184918501851185218531854185518561857185818591860186118621863186418651866186718681869187018711872187318741875187618771878187918801881188218831884188518861887188818891890189118921893189418951896189718981899190019011902190319041905190619071908190919101911191219131914191519161917191819191920192119221923192419251926192719281929193019311932193319341935193619371938193919401941194219431944194519461947194819491950195119521953195419551956195719581959196019611962196319641965196619671968196919701971197219731974197519761977197819791980198119821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202320242025202620272028202920302031203220332034203520362037203820392040204120422043204420452046204720482049205020512052205320542055205620572058205920602061206220632064206520662067
  1. from re import search,match
  2. from natsort.natsort import order_by_index
  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","detail_progress":"详情页","upload_goods_progress":"上传第三方商品"}
  70. if progress is not None:
  71. progress["msg_type"] = msg_type
  72. name = mapping.get(msg_type,None)
  73. if name:
  74. progress["name"] = name
  75. data = {
  76. "code": 0,
  77. "msg": msg,
  78. "status": 2,
  79. "data": (
  80. data
  81. if data is not None
  82. else {
  83. "status": status,
  84. "goods_art_nos": goods_arts,
  85. }
  86. ),
  87. "progress": None if progress is None else progress,
  88. "msg_type": msg_type,
  89. }
  90. await message_queue.put(data)
  91. # message_queue.put_nowait(data)
  92. @app.get("/")
  93. async def index():
  94. # await socket_manager.send_message(msg="测试")
  95. return {"message": "Hello World"}
  96. @app.get("/scan_serials", description="扫描可用的设备端口")
  97. async def scanSerials():
  98. """扫描串口"""
  99. ports = list_ports.comports()
  100. print("Scanning", ports)
  101. return {"message": "Hello World"}
  102. @app.api_route(
  103. "/forward_request", methods=["GET", "POST"], description="代理转发hlm项目得请求"
  104. )
  105. async def forwardRequest(request: HlmForwardRequest):
  106. """
  107. 转发HTTP请求到目标URL
  108. :param request: FastAPI Request对象
  109. :return: 目标接口的响应
  110. """
  111. try:
  112. if request.method == "GET":
  113. params = request.query_params
  114. elif request.method == "POST":
  115. params = json.dump(request.query_params)
  116. else:
  117. raise UnicornException("仅支持GET和POST方法")
  118. target_url = request.target_url
  119. method = request.method.upper()
  120. headers = request.headers
  121. if not target_url:
  122. raise UnicornException("目标url地址不能为空")
  123. # 调用 hlm_http_request 中的 forward_request 函数
  124. response = forward_request(
  125. target_url, params=params, method=method, headers=headers
  126. )
  127. return response
  128. except requests.RequestException as e:
  129. raise UnicornException(e)
  130. except Exception as e:
  131. raise UnicornException(e)
  132. def __createExcelGoodsArray(excel_path):
  133. '''创建通过excel形式得货号组数据'''
  134. try:
  135. excel_df = pd.read_excel(excel_path, sheet_name=0, header=0, dtype={
  136. "款号": str,
  137. "商品货号": str,
  138. })
  139. if "商品货号" not in excel_df.columns:
  140. raise UnicornException("缺失 [商品货号] 列")
  141. if "款号" not in excel_df.columns:
  142. raise UnicornException("缺失 [款号] 列")
  143. goods_art_dirs = excel_df.groupby(excel_df["款号"])
  144. # 抠图时用到的货号列表,与生成详情图有所区别
  145. goods_art_no_arrays = []
  146. # # 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
  147. goods_art_no_group_arrays = []
  148. for _, goods_row in excel_df.iterrows():
  149. goods_art_no = str(goods_row["商品货号"])
  150. goods_art_no_arrays.append(goods_art_no)
  151. goods_no = str(goods_row["款号"])
  152. a001_df = goods_art_dirs.get_group(goods_no)
  153. goods_art_groups = a001_df["商品货号"].tolist()
  154. if goods_art_groups in goods_art_no_group_arrays:
  155. continue
  156. goods_art_no_group_arrays.append(goods_art_groups)
  157. except Exception as e:
  158. raise UnicornException("Excel文件解析失败,请检查是否缺少列")
  159. return goods_art_no_arrays,excel_df,goods_art_no_group_arrays
  160. def group_by_style_number(data):
  161. result = {}
  162. for goods_id, info in data.items():
  163. style_number = info["款号"]
  164. if style_number not in result:
  165. result[style_number] = []
  166. result[style_number].append(goods_id)
  167. return result
  168. @app.post("/handle_detail")
  169. async def handle_detail_background(
  170. request: Request, params: HandlerDetail, background_tasks: BackgroundTasks
  171. ):
  172. goods_art_no_arrays = params.goods_art_no
  173. is_check = params.is_check
  174. obj = None
  175. token = "Bearer " + params.token
  176. uuid = params.uuid
  177. run_main = RunMain(obj, token, uuid)
  178. online_stores = params.online_stores # 上传第三方的店铺名称数组
  179. is_detail = params.is_detail # 上传第三方的店铺名称数组
  180. is_product_scene = params.is_product_scene # 上传第三方的店铺名称数组
  181. is_upper_footer = params.is_upper_footer # 上传第三方的店铺名称数组
  182. # 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
  183. if online_stores:
  184. """如果上传第三方,则需要强制生成详情页"""
  185. params.is_detail = 1
  186. is_detail = 1
  187. try:
  188. excel_path = params.excel_path.strip()
  189. print("excel信息打印输出:",excel_path)
  190. if excel_path:
  191. goods_art_no_arrays,excel_df,_ = __createExcelGoodsArray(excel_path)
  192. await _process_excel_mode(
  193. goods_art_no_arrays, excel_df
  194. )
  195. else:
  196. if is_detail == 1:
  197. remote_data = run_main.data_mode_generate_detail.get_goods_art_no_info(goods_art_list=goods_art_no_arrays)
  198. if remote_data == {}:
  199. 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")
  200. error_goods_art_no = []
  201. for goods_art_no_check in goods_art_no_arrays:
  202. check_item = remote_data.get(goods_art_no_check,None)
  203. if not check_item:
  204. error_goods_art_no.append(goods_art_no_check)
  205. if len(error_goods_art_no) > 0:
  206. raise UnicornException("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))
  207. await _process_non_excel_mode(
  208. params, goods_art_no_arrays
  209. )
  210. except Exception as e:
  211. raise UnicornException(str(e))
  212. progress = [{"msg_type":"segment_progress","name":"抠图","status":"等待处理","current":0,"total":0,"error":0}]
  213. if is_product_scene == 1:
  214. progress.append({"msg_type":"scene_progress","name":"场景图","status":"等待处理","current":0,"total":0,"error":0})
  215. if is_upper_footer == 1:
  216. progress.append({"msg_type":"upper_footer_progress","name":"模特图","status":"等待处理","current":0,"total":0,"error":0})
  217. if is_detail==1 or (params.excel_path != "" and params.excel_path != None):
  218. progress.append({"msg_type":"detail_progress","name":"详情页","status":"等待处理","current":0,"total":0,"error":0})
  219. if len(online_stores) > 0:
  220. progress.append({"msg_type":"upload_goods_progress","name":"上传第三方商品","status":"等待处理","current":0,"total":0,"error":0})
  221. if is_check == 1:
  222. return {
  223. "code": 0,
  224. "msg": "检测通过",
  225. "data": {"progress":progress},
  226. }
  227. asyncio.create_task(process_handle_detail(request, params))
  228. return {"code": 0, "msg": "任务已提交后台处理", "data": {"status": "processing"}}
  229. # 重构后的简化版本
  230. async def process_handle_detail(request: Request, params: HandlerDetail):
  231. """处理商品详情图生成的主要函数"""
  232. try:
  233. # 初始化基础变量
  234. handler_result = []
  235. handler_result_folder = ""
  236. # 处理参数
  237. obj, token, uuid = None, "Bearer " + params.token, params.uuid
  238. aigc_clazz = AIGCDataRequest(token)
  239. run_main = RunMain(obj, token, uuid)
  240. onlineData = OnlineDataRequest(token)
  241. # 提取参数
  242. goods_art_no_arrays = params.goods_art_no
  243. online_stores = params.online_stores
  244. is_detail = params.is_detail
  245. temp_name = params.temp_name
  246. is_product_scene = params.is_product_scene
  247. is_upper_footer = params.is_upper_footer
  248. upper_footer_params = params.upper_footer_params
  249. product_scene_prompt = params.product_scene_prompt
  250. if params.excel_path and params.excel_path.strip():
  251. # 处理Excel模式
  252. is_detail = 1#强制处理详情页
  253. goods_art_no_arrays,excel_df,_ = __createExcelGoodsArray(params.excel_path)
  254. move_folder_array = await _process_excel_mode(
  255. goods_art_no_arrays, excel_df
  256. )
  257. else:
  258. # 处理非Excel模式
  259. move_folder_array = await _process_non_excel_mode(
  260. params, goods_art_no_arrays
  261. )
  262. # 构建配置数据
  263. config_data = await _build_config_data(params, goods_art_no_arrays)
  264. # 执行抠图处理
  265. handler_result_folder, handler_result = await _process_cutout(
  266. run_main, config_data, goods_art_no_arrays, move_folder_array
  267. )
  268. # 处理场景图和模特图
  269. loop = asyncio.get_event_loop()
  270. return_data_check_before_detail = await loop.run_in_executor(
  271. None,
  272. partial(run_main.check_before_detail, config_data, is_detail)
  273. )
  274. # 检查处理结果
  275. success_handler = return_data_check_before_detail.get("data", {}).get("config_data", {}).get("success_handler", [])
  276. failed_items = [item for item in success_handler if item.get('success') == False]
  277. if failed_items:
  278. await sendAsyncMessage(
  279. msg="处理结束",
  280. data={"output_folder": handler_result_folder, "list": failed_items},
  281. status="处理结束",
  282. msg_type="detail_result_progress",
  283. )
  284. # 如果全部失败,直接终止
  285. if failed_items and len(failed_items) == len(success_handler):
  286. check_progress = {
  287. "status": "处理失败",
  288. "current": 0,
  289. "total": len(success_handler),
  290. "error": len(failed_items)
  291. }
  292. await sendAsyncMessage(
  293. msg="检查失败",
  294. goods_arts=[],
  295. status="检查失败",
  296. msg_type="segment_progress",
  297. progress=check_progress
  298. )
  299. return True
  300. # 处理场景图
  301. if is_product_scene == 1:
  302. return_data_check_before_detail = await _process_scene_images(
  303. aigc_clazz, run_main, return_data_check_before_detail, product_scene_prompt
  304. )
  305. # 处理模特图
  306. if is_upper_footer == 1:
  307. return_data_check_before_detail = await _process_model_images(
  308. aigc_clazz, run_main, return_data_check_before_detail, upper_footer_params
  309. )
  310. current_day = time.strftime("%Y-%m-%d", time.localtime(time.time()))
  311. # 处理详情页
  312. if is_detail == 1:
  313. handler_result_folder, handler_result= await _process_detail_pages(
  314. run_main, return_data_check_before_detail, onlineData,
  315. online_stores, goods_art_no_arrays, handler_result_folder,
  316. params
  317. )
  318. # 如果需要上传到第三方平台
  319. if online_stores:
  320. await _upload_to_third_party(
  321. onlineData, return_data_check_before_detail,
  322. config_data, online_stores,temp_name
  323. )
  324. await sendAsyncMessage(
  325. msg="处理结束",
  326. data={"output_folder": f"{handler_result_folder}/{current_day}", "list": handler_result},
  327. status="处理结束",
  328. msg_type="detail_result_progress",
  329. )
  330. else:
  331. await sendAsyncMessage(
  332. msg="处理结束",
  333. data={"output_folder": f"{handler_result_folder}", "list": handler_result},
  334. status="处理结束",
  335. msg_type="detail_result_progress",
  336. )
  337. except UnicornException as e:
  338. logger.info(f"错误信息:{e}")
  339. line = traceback.extract_tb(e.__traceback__)[0][1]
  340. logger.info(f"错误发生在行号:{line}")
  341. await _handle_exception(e.msg, handler_result_folder)
  342. except Exception as e:
  343. logger.info(f"错误信息:{e}")
  344. line = traceback.extract_tb(e.__traceback__)[0][1]
  345. logger.info(f"错误发生在行号:{line}")
  346. await _handle_exception(str(e), handler_result_folder)
  347. return True
  348. async def _process_non_excel_mode(params, goods_art_no_arrays):
  349. """处理非Excel模式的准备工作"""
  350. limit_path = "{}/{}".format(settings.OUTPUT_DIR,time.strftime("%Y-%m-%d", time.localtime(time.time())))
  351. check_path(limit_path)
  352. move_folder_array = check_move_goods_art_no_folder(settings.OUTPUT_DIR, goods_art_no_arrays, limit_path)
  353. for goods_art_no in goods_art_no_arrays:
  354. if not goods_art_no:
  355. raise UnicornException("货号不能为空")
  356. session = SqlQuery()
  357. pr = CRUD(PhotoRecord)
  358. images = pr.read_all(session, conditions={"goods_art_no": goods_art_no,"delete_time": None})
  359. session.close()
  360. if not images:
  361. raise UnicornException(
  362. 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"
  363. )
  364. detail_counts = len(params.template_image_order.split(","))
  365. image_counts = len(images)
  366. if image_counts < detail_counts:
  367. raise UnicornException(
  368. 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"
  369. )
  370. if move_folder_array.get(goods_art_no) is None:
  371. await _process_image_copy_and_move(goods_art_no, images,False)
  372. return move_folder_array
  373. async def _process_excel_mode(goods_art_no_arrays,excel_df):
  374. """处理非Excel模式的准备工作"""
  375. limit_path = "{}/{}".format(settings.OUTPUT_DIR,time.strftime("%Y-%m-%d", time.localtime(time.time())))
  376. check_path(limit_path)
  377. move_folder_array = check_move_goods_art_no_folder("output", goods_art_no_arrays, limit_path)
  378. session = SqlQuery()
  379. for index, row in excel_df.iterrows():
  380. goods_art_no = str(row["商品货号"])
  381. print("货号数据", goods_art_no)
  382. if not goods_art_no:
  383. raise UnicornException("货号不能为空")
  384. pr = CRUD(PhotoRecord)
  385. images = pr.read_all(session, conditions={"goods_art_no": goods_art_no,"delete_time": None})
  386. if not images:
  387. raise UnicornException(
  388. 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"
  389. )
  390. # 货号目录不存在再去进行移动和创建操作
  391. if move_folder_array.get(goods_art_no) is None:
  392. await _process_image_copy_and_move(goods_art_no, images,True)
  393. session.close()
  394. return move_folder_array
  395. async def _process_image_copy_and_move(goods_art_no, images,is_excel):
  396. """处理图片复制和移动"""
  397. image_dir = "{}/data/".format(os.getcwd()).replace("\\", "/")
  398. check_path(image_dir)
  399. for idx, itemImg in enumerate(images):
  400. if not itemImg.image_path:
  401. raise UnicornException(
  402. 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"
  403. )
  404. # new_file_name = str(itemImg.goods_art_no) + "_" + str(idx) + ".jpg"
  405. # if not os.path.exists(image_dir + "/" + os.path.basename(new_file_name)):
  406. # shutil.copy(itemImg.image_path, image_dir + new_file_name)
  407. dealImage = DealImage(image_dir)
  408. resFlag, path = dealImage.dealMoveImageV2(
  409. goods_art_no=goods_art_no
  410. )
  411. if not resFlag:
  412. raise UnicornException(path)
  413. if is_excel:
  414. try:
  415. shutil.rmtree(image_dir,onerror=settings.handle_remove_readonly)
  416. except Exception as e:
  417. logger.info(f"删除图片失败:{str(e)}")
  418. async def _build_config_data(params, goods_art_no_arrays):
  419. """构建配置数据"""
  420. temp_class = {}
  421. temp_name_list = []
  422. # 模板类型;0系统模板;1自定义模板
  423. for tempItem in params.temp_list:
  424. temp_class[tempItem.template_id] = {"class_path":tempItem.template_local_classes,"template_type":tempItem.template_type if tempItem.template_type else 0}
  425. temp_name_list.append(tempItem.template_id)
  426. cutOutMode = (
  427. "1"
  428. if settings.getSysConfigs("other_configs", "cutout_mode", "普通抠图") == "普通抠图"
  429. else "2"
  430. )
  431. limit_path = "{}/{}".format(settings.OUTPUT_DIR,time.strftime("%Y-%m-%d", time.localtime(time.time())))
  432. config_data = {
  433. "image_dir": limit_path,
  434. "image_order": (
  435. "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"
  436. if not params.template_image_order
  437. else params.template_image_order
  438. ),
  439. "goods_art_no": "",
  440. "goods_art_nos": goods_art_no_arrays,
  441. "is_check_number": False,
  442. "resize_image_view": "后跟",
  443. "cutout_mode": cutOutMode,
  444. "logo_path": params.logo_path,
  445. "special_goods_art_no_folder_line": "",
  446. "is_use_excel": (False if params.excel_path == "" else True), # 是否使用excel
  447. "excel_path": params.excel_path, # excel路径
  448. "is_check_color_is_all": False,
  449. "cutout_is_pass": True,
  450. "assigned_page_dict": {},
  451. "detail_is_pass": False,
  452. "upload_is_pass": False,
  453. "upload_is_enable": False,
  454. "is_filter": False,
  455. "temp_class": temp_class,
  456. "temp_name": params.temp_name,
  457. "temp_name_list": temp_name_list,
  458. "target_error_folder": f"{limit_path}/软件-生成详情错误",
  459. "success_handler": [],
  460. }
  461. temp_class_dict = {}
  462. try:
  463. print("configdata 模板信息",config_data["temp_class"])
  464. for key, val in config_data["temp_class"].items():
  465. class_path = val.get("class_path")
  466. template_type = val.get("template_type",0)
  467. if template_type == 0:
  468. # 如果是系统模板,才进行动态类导入操作
  469. module_path, class_name = class_path.rsplit(".", 1)
  470. module = importlib.import_module(module_path)
  471. cls = getattr(module, class_name)
  472. temp_class_dict[key] = {"cls":cls,"template_type":template_type}
  473. else:
  474. temp_class_dict[key] = {"cls":class_path,"template_type":template_type}
  475. except:
  476. raise UnicornException("详情页模板不存在或未下载完成,请重启软件后重试")
  477. config_data["temp_class"] = temp_class_dict
  478. return config_data
  479. async def _process_cutout(run_main, config_data, goods_art_no_arrays, move_folder_array):
  480. """处理抠图"""
  481. handler_result = []
  482. handler_result_folder = ""
  483. have_handler_keys = move_folder_array.keys()
  484. if len(have_handler_keys) >0 :
  485. progress = {
  486. "status":"正在处理",
  487. "current":len(have_handler_keys),
  488. "total":len(goods_art_no_arrays),
  489. "error":0,
  490. "goods_art_no":None
  491. }
  492. await sendAsyncMessage(
  493. msg="正在处理",
  494. data=None,
  495. status="正在处理",
  496. msg_type="segment_progress",
  497. progress=progress
  498. )
  499. loop = asyncio.get_event_loop()
  500. # 【修复】将同步耗时操作放入线程池
  501. # 注意:check_before_cutout 和 check_for_cutout_image_first_call_back 必须是线程安全的
  502. return_data = await loop.run_in_executor(
  503. None,
  504. partial(run_main.check_before_cutout, config_data)
  505. )
  506. cutout_res = await loop.run_in_executor(
  507. None,
  508. partial(run_main.check_for_cutout_image_first_call_back, return_data)
  509. )
  510. if cutout_res:
  511. # sys_path = format(os.getcwd()).replace("\\", "/")
  512. handler_result_folder = f"{config_data['image_dir']}"
  513. for goods_art_item in goods_art_no_arrays:
  514. handler_result.append({
  515. "goods_art_no": goods_art_item,
  516. "success": True,
  517. "info": "处理成功",
  518. })
  519. # 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)
  520. if len(have_handler_keys) == len(goods_art_no_arrays) or (len(have_handler_keys) == 0 and cutout_res):
  521. handler_result_folder = handler_result_folder.replace("\\", "/")
  522. success_items = [item for item in handler_result if item.get('success') == True]
  523. cutout_folder = handler_result_folder+"/"+success_items[0].get("goods_art_no")+"/800x800" if len(success_items) > 0 else ""
  524. progress = {
  525. "status": "处理完成",
  526. "current": len(goods_art_no_arrays),
  527. "total": len(goods_art_no_arrays),
  528. "error": 0,
  529. "folder":cutout_folder,
  530. }
  531. await sendAsyncMessage(
  532. msg="抠图完成",
  533. data={"output_folder": handler_result_folder, "list": handler_result},
  534. status="抠图完成",
  535. msg_type="segment_progress",
  536. progress=progress
  537. )
  538. return handler_result_folder, handler_result
  539. async def _process_single_scene_item(aigc_clazz, goods_art_dict_info_item, product_scene_prompt, save_root_path):
  540. """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"""
  541. def sync_generate():
  542. ceshi_image_path = goods_art_dict_info_item.get("pics").get("侧视-抠图")
  543. save_image_path = f"{save_root_path}场景图.jpg"
  544. if os.path.isfile(save_image_path):
  545. return save_image_path
  546. aigc_clazz.center_paste_image(ceshi_image_path, save_image_path)
  547. image_path = aigc_clazz.generateProductScene(save_image_path, product_scene_prompt, save_image_path)
  548. return image_path
  549. loop = asyncio.get_event_loop()
  550. try:
  551. image_path = await loop.run_in_executor(None, sync_generate)
  552. return {"success": True, "path": image_path}
  553. except Exception as e:
  554. return {"success": False, "error": str(e)}
  555. async def _process_scene_images(aigc_clazz, run_main, return_data_check_before_detail, product_scene_prompt):
  556. """处理场景图生成"""
  557. # 参数验证
  558. if not product_scene_prompt:
  559. raise UnicornException("请填写场景描述")
  560. goods_dict = parserGoodsDict2Aigc(return_data_check_before_detail)
  561. new_goods_dict = {}
  562. goods_art_counts ={key: len(value.get('货号资料', [])) for key, value in goods_dict.items()}
  563. product_scene_total_progress = sum(goods_art_counts.values())
  564. product_scene_finish_progress = 0
  565. product_scene_error_progress = 0
  566. product_scene_progress = {
  567. "status": "正在处理",
  568. "current": product_scene_finish_progress,
  569. "total": product_scene_total_progress,
  570. "error": product_scene_error_progress
  571. }
  572. await sendAsyncMessage(
  573. msg="开始处理场景图",
  574. goods_arts=[goods_art_no for goods_art_no in goods_dict.keys()],
  575. status="开始处理",
  576. msg_type="scene_progress",
  577. progress=product_scene_progress
  578. )
  579. loop = asyncio.get_event_loop()
  580. for goods_art_no_info in goods_dict.keys():
  581. goods_art_dict_info = goods_dict.get(goods_art_no_info,None)
  582. new_goods_dict.setdefault(goods_art_no_info,goods_art_dict_info)
  583. if goods_art_dict_info is None: continue
  584. for idx_key,goods_art_dict_info_item in enumerate(goods_art_dict_info.get("货号资料", [])):
  585. goods_art_no = goods_art_dict_info_item.get("货号")
  586. product_scene_finish_progress += 1
  587. folder = ""
  588. product_scene_progress = {
  589. "status": "正在处理",
  590. "goods_art_no": goods_art_no,
  591. "current": product_scene_finish_progress,
  592. "total": product_scene_total_progress,
  593. "error": product_scene_error_progress,
  594. "folder": folder,
  595. }
  596. await sendAsyncMessage(
  597. msg="正在处理场景图",
  598. goods_arts=[goods_art_no],
  599. status="正在处理场景图",
  600. msg_type="scene_progress",
  601. progress=product_scene_progress
  602. )
  603. first_pics = goods_art_dict_info_item.get("pics")
  604. ceshi_image_path = first_pics.get("侧视-抠图")
  605. save_root_path = ceshi_image_path.split("阴影图处理")[0]
  606. save_image_path = f"{save_root_path}场景图.jpg"
  607. # 【修复】异步等待单个货号的 AI 处理完成
  608. # 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
  609. result = await _process_single_scene_item(aigc_clazz, goods_art_dict_info_item, product_scene_prompt, save_root_path)
  610. if result["success"]:
  611. goods_art_dict_info_item["场景图"] = result["path"]
  612. new_goods_dict[goods_art_no_info]["货号资料"][idx_key] = goods_art_dict_info_item
  613. product_scene_progress["folder"] = save_image_path.replace("场景图.jpg", "")
  614. await sendAsyncMessage(
  615. msg="场景图处理完成",
  616. goods_arts=[goods_art_no],
  617. status="场景图处理完成",
  618. msg_type="scene_progress",
  619. progress=product_scene_progress
  620. )
  621. else:
  622. goods_art_dict_info_item["场景图"] = ""
  623. new_goods_dict[goods_art_no_info]["货号资料"][idx_key] = goods_art_dict_info_item
  624. os.remove(save_image_path)
  625. # product_scene_finish_progress -= 1
  626. product_scene_error_progress += 1
  627. product_scene_progress = {
  628. "status": "处理失败",
  629. "goods_art_no": goods_art_no,
  630. "current": product_scene_finish_progress,
  631. "total": product_scene_total_progress,
  632. "error": product_scene_error_progress,
  633. "folder":""
  634. }
  635. await sendAsyncMessage(
  636. msg="场景图处理失败",
  637. goods_arts=[goods_art_no],
  638. status="场景图处理失败",
  639. msg_type="scene_progress",
  640. progress=product_scene_progress
  641. )
  642. status_text = "处理完成" if product_scene_finish_progress > 0 else "处理失败"
  643. product_scene_progress = {
  644. "status": status_text,
  645. "current": product_scene_finish_progress,
  646. "total": product_scene_total_progress,
  647. "error": product_scene_error_progress
  648. }
  649. await sendAsyncMessage(
  650. msg="场景图处理结束",
  651. goods_arts=[],
  652. status="场景图处理结束",
  653. msg_type="scene_progress",
  654. progress=product_scene_progress
  655. )
  656. print("场景图 new_goods_dict",new_goods_dict)
  657. if new_goods_dict:
  658. return_data_check_before_detail["data"]["goods_no_dict"] = new_goods_dict
  659. return return_data_check_before_detail
  660. async def _process_model_images(aigc_clazz, run_main, return_data_check_before_detail, upper_footer_params):
  661. """处理模特图生成"""
  662. # 参数验证
  663. if not upper_footer_params:
  664. raise UnicornException("请选择模特")
  665. man_id = upper_footer_params.get("man_id")
  666. women_id = upper_footer_params.get("women_id")
  667. if not man_id:
  668. raise UnicornException("请选择男模特")
  669. if not women_id:
  670. raise UnicornException("请选择女模特")
  671. goods_dict = parserGoodsDict2Aigc(return_data_check_before_detail)
  672. new_goods_dict = {}
  673. goods_art_counts ={key: len(value.get('货号资料', [])) for key, value in goods_dict.items()}
  674. upper_footer_total_progress = sum(goods_art_counts.values())
  675. upper_footer_finish_progress = 0
  676. upper_footer_error_progress = 0
  677. upper_footer_progress = {
  678. "status": "正在处理",
  679. "current": upper_footer_finish_progress,
  680. "total": upper_footer_total_progress,
  681. "error": upper_footer_error_progress
  682. }
  683. await sendAsyncMessage(
  684. msg="开始处理模特图",
  685. goods_arts=list(goods_dict.keys()),
  686. status="开始处理模特图",
  687. msg_type="upper_footer_progress",
  688. progress=upper_footer_progress
  689. )
  690. print("上脚图=====>>>>",goods_dict,return_data_check_before_detail)
  691. loop = asyncio.get_event_loop()
  692. for goods_art_no_info in goods_dict.keys():
  693. goods_art_dict_info = goods_dict.get(goods_art_no_info, None)
  694. new_goods_dict.setdefault(goods_art_no_info, goods_art_dict_info)
  695. if goods_art_dict_info is None: continue
  696. # 获取该款号的性别,用于选择模特
  697. gender = goods_art_dict_info.get("性别", "女")
  698. model_id = man_id if "男" in gender else women_id
  699. for idx_key, goods_art_dict_info_item in enumerate(goods_art_dict_info.get("货号资料", [])):
  700. goods_art_no = goods_art_dict_info_item.get("货号")
  701. upper_footer_finish_progress += 1
  702. folder = ""
  703. upper_footer_progress = {
  704. "status": "正在处理",
  705. "goods_art_no": goods_art_no,
  706. "current": upper_footer_finish_progress,
  707. "total": upper_footer_total_progress,
  708. "error": upper_footer_error_progress,
  709. "folder": folder,
  710. }
  711. await sendAsyncMessage(
  712. msg="正在处理模特图",
  713. goods_arts=[goods_art_no],
  714. status="正在处理模特图",
  715. msg_type="upper_footer_progress",
  716. progress=upper_footer_progress
  717. )
  718. gender = goods_art_dict_info.get("性别","女")
  719. model_id = man_id if "男" in gender else women_id
  720. first_pics = goods_art_dict_info_item.get("pics")
  721. ceshi_image_path = first_pics.get("侧视-抠图")
  722. save_root_path = ceshi_image_path.split("阴影图处理")[0]
  723. save_image_path = f"{save_root_path}模特图.jpg"
  724. # 2. 【核心修复】将耗时的 复制+AI生成 放入线程池
  725. def sync_model_task():
  726. if os.path.isfile(save_image_path):
  727. return {"success": True, "path": save_image_path}
  728. try:
  729. shutil.copy(ceshi_image_path, save_image_path)
  730. image_path = aigc_clazz.generateUpperShoes(save_image_path, model_id, save_image_path)
  731. return {"success": True, "path": image_path}
  732. except Exception as e:
  733. if os.path.exists(save_image_path):
  734. try: os.remove(save_image_path)
  735. except: pass
  736. return {"success": False, "error": str(e)}
  737. result = await loop.run_in_executor(None, sync_model_task)
  738. # 3. 处理结果并发送消息
  739. if result["success"]:
  740. goods_art_dict_info_item["模特图"] = result["path"]
  741. new_goods_dict[goods_art_no_info]["货号资料"][idx_key] = goods_art_dict_info_item
  742. upper_footer_progress["folder"] = save_image_path.replace("模特图.jpg", "")
  743. await sendAsyncMessage(
  744. msg="模特图处理成功",
  745. goods_arts=[goods_art_no],
  746. status="模特图处理成功",
  747. msg_type="upper_footer_progress",
  748. progress=upper_footer_progress
  749. )
  750. else:
  751. upper_footer_error_progress += 1
  752. goods_art_dict_info_item["模特图"] = ""
  753. new_goods_dict[goods_art_no_info]["货号资料"][idx_key] = goods_art_dict_info_item
  754. upper_footer_progress["status"] = "处理失败"
  755. upper_footer_progress["error"] = upper_footer_error_progress
  756. await sendAsyncMessage(
  757. msg="模特图处理失败",
  758. goods_arts=[goods_art_no],
  759. status="模特图处理失败",
  760. msg_type="upper_footer_progress",
  761. progress=upper_footer_progress
  762. )
  763. status_text = "处理完成" if upper_footer_finish_progress > 0 else "处理失败"
  764. upper_footer_progress = {
  765. "status": status_text,
  766. "current": upper_footer_finish_progress,
  767. "total": upper_footer_total_progress,
  768. "error": upper_footer_error_progress
  769. }
  770. await sendAsyncMessage(
  771. msg="模特图处理结束",
  772. goods_arts=[],
  773. status="模特图处理结束",
  774. msg_type="upper_footer_progress",
  775. progress=upper_footer_progress
  776. )
  777. if new_goods_dict:
  778. return_data_check_before_detail["data"]["goods_no_dict"] = new_goods_dict
  779. return return_data_check_before_detail
  780. async def _process_detail_pages(run_main, return_data_check_before_detail, onlineData,
  781. online_stores, goods_art_no_arrays, handler_result_folder,request_params):
  782. """处理详情页生成和上传"""
  783. # check_for_detail_first_res = run_main.check_for_detail_first_call_back(
  784. # return_data_check_before_detail,request_params
  785. # )
  786. loop = asyncio.get_event_loop()
  787. # 将整个 detail_run_by_thread 放入线程池执行
  788. check_for_detail_first_res = await loop.run_in_executor(
  789. None,
  790. run_main.check_for_detail_first_call_back,
  791. return_data_check_before_detail,
  792. request_params,
  793. # ... 其他参数
  794. )
  795. print("<======>check_for_detail_first_res<======>",check_for_detail_first_res)
  796. if isinstance(check_for_detail_first_res, partial):
  797. try:
  798. result = check_for_detail_first_res()
  799. config_data = result["config_data"]
  800. except:
  801. config_data = result
  802. else:
  803. config_data = check_for_detail_first_res
  804. out_put_dir = config_data.get("out_put_dir")
  805. success_handler = config_data.get("success_handler")
  806. if not out_put_dir:
  807. handler_result_folder = ""
  808. # 处理失败情况
  809. else:
  810. out_put_dir_path = "{}".format(out_put_dir).replace("\\", "/")
  811. handler_result_folder = os.path.dirname(out_put_dir_path)
  812. if handler_result_folder:
  813. handler_result_folder = os.path.dirname(handler_result_folder)
  814. return handler_result_folder,success_handler
  815. async def _upload_to_third_party(onlineData, return_data_check_before_detail,
  816. config_data, online_stores,temp_name):
  817. """上传到第三方平台"""
  818. result_goods_no_dict = return_data_check_before_detail["data"]["goods_no_dict"]
  819. for goods_idx, goods_no_dict in enumerate(result_goods_no_dict.keys()):
  820. all_detail_path_list = config_data["all_detail_path_list"]
  821. for detail_path in all_detail_path_list:
  822. if goods_no_dict in detail_path:
  823. detail_path_replace = detail_path.replace("\\", "/")
  824. result_goods_no_dict[goods_no_dict]["detail_path"] = f"{detail_path_replace}/详情页-{temp_name}.jpg"
  825. upload_total_progress = len(result_goods_no_dict.keys())
  826. upload_finish_progress = 0
  827. upload_error_progress = 0
  828. upload_progress = {
  829. "status": "开始处理",
  830. "current": upload_finish_progress,
  831. "total": upload_total_progress,
  832. "error": upload_error_progress
  833. }
  834. await sendAsyncMessage(
  835. msg="开始上传商品数据",
  836. goods_arts=[],
  837. status="开始上传商品数据",
  838. msg_type="upload_goods_progress",
  839. progress=upload_progress
  840. )
  841. try:
  842. onlineData.uploadGoods2ThirdParty(
  843. result_goods_no_dict, online_stores=online_stores
  844. )
  845. except Exception as e:
  846. upload_error_progress = upload_total_progress
  847. print(f"上传任务出现错误:{e}")
  848. upload_finish_progress = upload_total_progress
  849. if upload_error_progress > 0:
  850. upload_finish_progress = 0
  851. upload_progress = {
  852. "status": "处理完成",
  853. "current": upload_finish_progress,
  854. "total": upload_total_progress,
  855. "error": upload_error_progress
  856. }
  857. await sendAsyncMessage(
  858. msg="商品上传第三方成功",
  859. goods_arts=[],
  860. status="商品上传第三方成功",
  861. msg_type="upload_goods_progress",
  862. progress=upload_progress
  863. )
  864. async def _handle_exception(error_msg, handler_result_folder):
  865. """处理异常情况"""
  866. handler_result = [{"goods_art_no": "", "success": False, "info": error_msg}]
  867. await sendAsyncMessage(
  868. msg="处理结束",
  869. data={"output_folder": handler_result_folder, "list": handler_result},
  870. status="处理结束",
  871. msg_type="detail_result_progress",
  872. )
  873. @app.get("/get_device_tabs", description="获取可执行程序命令列表")
  874. def get_device_tabs(type: int):
  875. session = SqlQuery()
  876. statement = (
  877. select(DeviceConfigTabs)
  878. .where(DeviceConfigTabs.mode_type == type)
  879. .order_by(asc("id"))
  880. )
  881. result = session.exec(statement).all()
  882. sys = CRUD(SysConfigs)
  883. action_configs = sys.read(session, conditions={"key": "action_configs"})
  884. session.close()
  885. return {
  886. "code": 0,
  887. "msg": "",
  888. "data": {"tabs": result, "select_configs": json.loads(action_configs.value)},
  889. }
  890. @app.post("/update_tab_name", description="更改tab名称")
  891. def update_tab_name(params: DeviceConfigTabsReq):
  892. if params.mode_name == "":
  893. return {"code": 1, "msg": "名称不能为空", "data": {}}
  894. session = SqlQuery()
  895. tabModel = CRUD(DeviceConfigTabs)
  896. kwargs = {"mode_name": params.mode_name}
  897. tabModel.updateConditions(session, conditions={"id": params.id}, **kwargs)
  898. session.close()
  899. return {
  900. "code": 0,
  901. "msg": "",
  902. "data": None,
  903. }
  904. @app.post("/get_device_configs", description="获取可执行程序命令列表")
  905. def get_device_configs(params: ModelGetDeviceConfig):
  906. tab_id = params.tab_id
  907. session = SqlQuery()
  908. configModel = CRUD(DeviceConfig)
  909. configList = configModel.read_all(
  910. session,
  911. conditions={"tab_id": tab_id},
  912. order_by="action_index",
  913. ascending=True,
  914. )
  915. session.close()
  916. return {
  917. "code": 0,
  918. "msg": "",
  919. "data": {"list": configList},
  920. }
  921. @app.post("/device_config_detail", description="获取可执行程序详情")
  922. def device_config_detail(params: ModelGetDeviceConfigDetail):
  923. action_id = params.id
  924. session = SqlQuery()
  925. configModel = CRUD(DeviceConfig)
  926. model = configModel.read(session, conditions={"id": action_id})
  927. session.close()
  928. if model == None:
  929. 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}
  930. return {"code": 0, "msg": "", "data": model}
  931. @app.post("/device_config_detail_query", description="通过条件获取可执行程序详情")
  932. def device_config_detail_query():
  933. # tab_id = params.tab_id
  934. # action_name = params.action_name
  935. session = SqlQuery()
  936. sys = CRUD(SysConfigs)
  937. action_configs = sys.read(session, conditions={"key": "action_configs"})
  938. action_configs_value = json.loads(action_configs.value)
  939. left_config = action_configs_value.get("left")
  940. configModel = CRUD(DeviceConfig)
  941. model = configModel.read(
  942. session, conditions={"tab_id": left_config, "action_name": "侧视"}
  943. )
  944. if model == None:
  945. model = configModel.read(session, conditions={"tab_id": left_config})
  946. session.close()
  947. return {"code": 0, "msg": "", "data": model}
  948. @app.post("/remove_config", description="删除一条可执行命令")
  949. def get_device_configs(params: ModelGetDeviceConfigDetail):
  950. action_id = params.id
  951. session = SqlQuery()
  952. configModel = CRUD(DeviceConfig)
  953. model = configModel.read(session, conditions={"id": action_id})
  954. if model == None:
  955. return {"code": 1, "msg": "数据不存在", "data": None}
  956. if model.is_system == True:
  957. return {"code": 1, "msg": "系统配置不允许删除", "data": None}
  958. configArray = configModel.read_all(session, conditions={"tab_id": model.tab_id})
  959. if len(configArray) == 1:
  960. return {"code": 1, "msg": "请至少保留一个配置", "data": None}
  961. configModel.delete(session, obj_id=action_id)
  962. session.close()
  963. return {"code": 0, "msg": "删除成功", "data": None}
  964. @app.post("/save_device_config", description="创建或修改一条可执行命令")
  965. def save_device_config(params: SaveDeviceConfig):
  966. action_id = params.id
  967. session = SqlQuery()
  968. deviceConfig = CRUD(DeviceConfig)
  969. if action_id == None or action_id == 0:
  970. # 走新增逻辑
  971. params.id = None
  972. save_device_config = deviceConfig.create(session, obj_in=params)
  973. else:
  974. model = deviceConfig.read(session, conditions={"id": action_id})
  975. if model == None:
  976. return {"code": 1, "msg": "数据不存在", "data": None}
  977. # 走编辑逻辑
  978. kwargs = params.__dict__
  979. save_device_config = deviceConfig.update(session, obj_id=action_id, **kwargs)
  980. session.close()
  981. return {"code": 0, "msg": "操作成功", "data": save_device_config}
  982. @app.post("/reset_config", description="创建或修改一条可执行命令")
  983. def reset_config(params: ModelGetDeviceConfig):
  984. tab_id = params.tab_id
  985. if tab_id == None or tab_id == "":
  986. return {"code": 1, "msg": "参数错误", "data": None}
  987. session = SqlQuery()
  988. deviceConfig = CRUD(DeviceConfig)
  989. first_config = deviceConfig.read(session, conditions={"tab_id": tab_id})
  990. res = deviceConfig.deleteConditions(session, conditions={"tab_id": tab_id})
  991. if res is False:
  992. return {"code": 1, "msg": "操作失败", "data": None}
  993. actions = json.load(open("action.json", encoding="utf-8"))
  994. for data in actions:
  995. data["tab_id"] = tab_id
  996. data["is_system"] = first_config.is_system
  997. device_config = DeviceConfig(**data)
  998. session.add(device_config)
  999. session.commit()
  1000. session.close()
  1001. return {"code": 0, "msg": "操作成功", "data": None}
  1002. @app.get("/get_photo_records", description="获取拍照记录")
  1003. def get_photo_records(page: int = 1, size: int = 5):
  1004. session = SqlQuery()
  1005. current_page = page
  1006. # photos = CRUD(PhotoRecord)
  1007. print("准备查询拍摄记录", datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
  1008. # 首先统计总数
  1009. count_statement = (
  1010. select(func.count(PhotoRecord.goods_art_no.distinct()))
  1011. .where(PhotoRecord.delete_time == None)
  1012. )
  1013. total_count = session.exec(count_statement).one()
  1014. # 查询所有不重复的货号及对应的最大时间,进行分页
  1015. base_statement = (
  1016. select(PhotoRecord.goods_art_no, func.max(PhotoRecord.id).label('max_id'))
  1017. .where(PhotoRecord.delete_time == None)
  1018. .group_by(PhotoRecord.goods_art_no)
  1019. .order_by(desc('max_id'))
  1020. .offset((page - 1) * size)
  1021. .limit(size)
  1022. )
  1023. paginated_results = session.exec(base_statement).all()
  1024. # 获取这些货号的详细记录
  1025. list_data = []
  1026. if paginated_results:
  1027. # 获取当前页的货号列表
  1028. current_goods_art_nos = [item.goods_art_no for item in paginated_results]
  1029. # 查询这些货号的所有记录
  1030. query = (
  1031. select(PhotoRecord, DeviceConfig.action_name)
  1032. .outerjoin(DeviceConfig, PhotoRecord.action_id == DeviceConfig.id)
  1033. .where(PhotoRecord.goods_art_no.in_(current_goods_art_nos))
  1034. .where(PhotoRecord.delete_time == None)
  1035. .order_by(asc("image_index")) # 按货号分组并按ID倒序
  1036. )
  1037. all_items = session.exec(query).mappings().all()
  1038. # 按货号分组
  1039. items_by_goods = {}
  1040. for item in all_items:
  1041. goods_art_no = item.PhotoRecord.goods_art_no
  1042. if goods_art_no not in items_by_goods:
  1043. items_by_goods[goods_art_no] = []
  1044. items_by_goods[goods_art_no].append(item)
  1045. # 构建结果列表,保持分页的顺序
  1046. for item in paginated_results:
  1047. goods_art_no = item.goods_art_no
  1048. if goods_art_no in items_by_goods:
  1049. # 获取该货号下时间最新的记录作为action_time
  1050. latest_record = items_by_goods[goods_art_no][0].PhotoRecord
  1051. list_data.append(
  1052. {
  1053. "goods_art_no": goods_art_no,
  1054. "action_time": latest_record.create_time,
  1055. "items": items_by_goods[goods_art_no],
  1056. }
  1057. )
  1058. session.close()
  1059. print("循环查询 完成 ", datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
  1060. # 计算分页信息
  1061. total_pages = (total_count + size - 1) // size # 向上取整
  1062. has_prev = page > 1
  1063. has_next = page < total_pages
  1064. return {
  1065. "code": 0,
  1066. "msg": "",
  1067. "data": {
  1068. "list": list_data,
  1069. "current_page": current_page,
  1070. "size": size,
  1071. "total_count": total_count,
  1072. "total_pages": total_pages,
  1073. "has_prev": has_prev,
  1074. "has_next": has_next
  1075. },
  1076. }
  1077. @app.get("/get_last_photo_record", description="获取最后一条拍照记录")
  1078. def get_last_photo_record():
  1079. session = SqlQuery()
  1080. statement = (
  1081. select(PhotoRecord)
  1082. .where(PhotoRecord.image_path != None)
  1083. .where(PhotoRecord.delete_time == None)
  1084. .order_by(desc("photo_create_time"))
  1085. )
  1086. result = session.exec(statement).first()
  1087. session.close()
  1088. return {
  1089. "code": 0,
  1090. "msg": "",
  1091. "data": result,
  1092. }
  1093. @app.get("/get_photo_record_detail", description="通过货号获取拍照记录详情")
  1094. def get_photo_record_detail(goods_art_no: str = None):
  1095. if goods_art_no == None:
  1096. return {"code": 1, "msg": "参数错误", "data": None}
  1097. session = SqlQuery()
  1098. photos = CRUD(PhotoRecord)
  1099. items = photos.read_all(session, conditions={"goods_art_no": goods_art_no,"delete_time": None})
  1100. session.close()
  1101. return {
  1102. "code": 0,
  1103. "msg": "",
  1104. "data": {"list": items},
  1105. }
  1106. @app.post("/delect_goods_arts", description="通过货号删除记录")
  1107. def delect_goods_arts(params: PhotoRecordDelete):
  1108. limit_path = "{}/{}".format(settings.OUTPUT_DIR,
  1109. time.strftime("%Y-%m-%d", time.localtime(time.time()))
  1110. )
  1111. handlerFolderDelete(limit_path,params.goods_art_nos,False)
  1112. session = SqlQuery()
  1113. photos = CRUD(PhotoRecord)
  1114. for item in params.goods_art_nos:
  1115. settings.syncPhotoRecord({"goods_art_no": item},action_type=2)
  1116. photos.deleteConditions(session, conditions={"goods_art_no": item,"delete_time": None})
  1117. session.close()
  1118. return {
  1119. "code": 0,
  1120. "msg": "操作成功",
  1121. "data": None,
  1122. }
  1123. @app.post("/delete_all_goods_arts", description="删除所有拍照记录")
  1124. def delete_all_goods_arts():
  1125. """
  1126. 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
  1127. """
  1128. session = SqlQuery()
  1129. try:
  1130. # 1. 获取所有存在的货号
  1131. photos = CRUD(PhotoRecord)
  1132. # 查询所有 distinct 的 goods_art_no
  1133. statement = select(PhotoRecord.goods_art_no).where(PhotoRecord.delete_time == None).distinct()
  1134. all_goods_art_nos = session.exec(statement).all()
  1135. if not all_goods_art_nos:
  1136. raise UnicornException("没有可删除的货号")
  1137. # 2. 清理文件目录 (复用现有的 handlerFolderDelete 逻辑)
  1138. limit_path = "{}/{}".format(settings.OUTPUT_DIR,
  1139. time.strftime("%Y-%m-%d", time.localtime(time.time()))
  1140. )
  1141. # 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
  1142. # 这里保持同步以符合原接口风格,但需注意超时风险
  1143. handlerFolderDelete(limit_path, list(all_goods_art_nos), False)
  1144. # 3. 同步线上状态 (如果需要)
  1145. for item in all_goods_art_nos:
  1146. settings.syncPhotoRecord({"goods_art_no": item}, action_type=2)
  1147. # 4. 批量删除数据库记录
  1148. # 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
  1149. photos.deleteConditions(session, conditions={"delete_time": None})
  1150. session.commit() # 确保事务提交
  1151. return {
  1152. "code": 0,
  1153. "msg": f"成功删除 {len(all_goods_art_nos)} 个货号的所有记录",
  1154. "data": None,
  1155. }
  1156. except Exception as e:
  1157. session.rollback()
  1158. logger.error(f"删除所有记录失败: {str(e)}")
  1159. raise UnicornException(f"删除失败: {str(e)}")
  1160. finally:
  1161. session.close()
  1162. def query_config_by_key(key_name):
  1163. """
  1164. 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
  1165. Args:
  1166. key_name (str): 要查询的key名称
  1167. Returns:
  1168. dict or None: 匹配的对象或None(如果没有找到)
  1169. """
  1170. try:
  1171. # 获取所有配置数据
  1172. configs = json.load(open("sys_configs.json", encoding="utf-8"))
  1173. # 遍历配置数据查找匹配的key
  1174. for config in configs:
  1175. if config.get("key") == key_name:
  1176. return config
  1177. return None
  1178. except Exception as e:
  1179. print(f"查询配置时出错: {e}")
  1180. return None
  1181. @app.get("/get_sys_config", description="查询系统配置")
  1182. def get_sys_config(key: str = None):
  1183. if key == None:
  1184. return {"code": 1, "msg": "参数错误", "data": None}
  1185. session = SqlQuery()
  1186. photos = CRUD(SysConfigs)
  1187. item = photos.read(session, conditions={"key": key})
  1188. search_data = None if item == None else json.loads(item.value)
  1189. if search_data == None:
  1190. sys_config_json = query_config_by_key(key)
  1191. if sys_config_json != None:
  1192. config = SysConfigs(**sys_config_json)
  1193. session.add(config)
  1194. session.commit() # 合并事务提交
  1195. search_data = json.loads(sys_config_json.get("value"))
  1196. session.close()
  1197. return {
  1198. "code": 0,
  1199. "msg": "",
  1200. "data": search_data,
  1201. }
  1202. @app.post("/update_left_right_config", description="更新左右脚配置")
  1203. def update_left_right_config(params: LeftRightParams):
  1204. session = SqlQuery()
  1205. sysConfig = CRUD(SysConfigs)
  1206. model = sysConfig.read(session, conditions={"key": "action_configs"})
  1207. if model == None:
  1208. return {"code": 1, "msg": "配置不存在", "data": None}
  1209. config_value = json.loads(model.value)
  1210. config_value[params.type] = params.id
  1211. update_value = json.dumps(config_value)
  1212. # 走编辑逻辑
  1213. kwargs = {"key": "action_configs", "value": update_value}
  1214. save_device_config = sysConfig.updateConditions(
  1215. session, conditions={"key": "action_configs"}, **kwargs
  1216. )
  1217. session.close()
  1218. return {"code": 0, "msg": "操作成功", "data": None}
  1219. @app.post("/update_record", description="更新拍照记录")
  1220. def update_record(params: RecordUpdate):
  1221. session = SqlQuery()
  1222. photoRecord = CRUD(PhotoRecord)
  1223. model = photoRecord.read(session, conditions={"id": params.id,"delete_time": None})
  1224. if model == None:
  1225. return {"code": 1, "msg": "记录不存在", "data": None}
  1226. kwargs = params.__dict__
  1227. save_device_config = photoRecord.update(session, obj_id=params.id, **kwargs)
  1228. session.close()
  1229. return {"code": 0, "msg": "操作成功", "data": save_device_config}
  1230. @app.post("/update_sys_configs", description="创建或修改系统配置")
  1231. def save_sys_configs(params: SysConfigParams):
  1232. session = SqlQuery()
  1233. sysConfig = CRUD(SysConfigs)
  1234. model = sysConfig.read(session, conditions={"key": params.key})
  1235. if model == None:
  1236. return {"code": 1, "msg": "配置不存在", "data": None}
  1237. # 走编辑逻辑
  1238. kwargs = params.__dict__
  1239. save_device_config = sysConfig.updateConditions(
  1240. session, conditions={"key": params.key}, **kwargs
  1241. )
  1242. session.close()
  1243. return {"code": 0, "msg": "操作成功", "data": save_device_config}
  1244. @app.post("/create_main_image", description="创建主图测试")
  1245. def create_main_image(params: MaineImageTest):
  1246. file_path = params.file_path
  1247. onePic = OnePicTest(pic_path=file_path)
  1248. main_out_path = onePic.HandlerMainImage()
  1249. return {"code": 0, "msg": "操作成功", "data": {"main_out_path": main_out_path}}
  1250. def insertEmptyLogoList(session):
  1251. """插入空logo列表"""
  1252. data = {"key": "logo_configs", "value": "[]"}
  1253. config = SysConfigs(**data)
  1254. session.add(config)
  1255. session.commit()
  1256. item = SysConfigs()
  1257. item.key = "logo_configs"
  1258. item.value = "[]"
  1259. return item
  1260. @app.get("/logo_list", description="logo列表")
  1261. def logo_list():
  1262. logo_dir = "{}/data/logo/".format(os.getcwd()).replace("\\", "/")
  1263. check_path(logo_dir)
  1264. logo_files = os.listdir(logo_dir)
  1265. logo_list = []
  1266. for logoItem in logo_files:
  1267. logo_list.append(f"{logo_dir}{logoItem}")
  1268. return {"code": 0, "msg": "操作成功", "data": logo_list}
  1269. @app.post("/add_logo", description="添加logo")
  1270. def add_logo(params: LogoParams):
  1271. logo_path = params.logo_path.replace("\\", "/")
  1272. session = SqlQuery()
  1273. sysConfig = CRUD(SysConfigs)
  1274. item = sysConfig.read(session, conditions={"key": "logo_configs"})
  1275. if item == None:
  1276. item = insertEmptyLogoList(session)
  1277. if os.path.isfile(logo_path) == False:
  1278. return {"code": 1, "msg": "logo文件不存在", "data": None}
  1279. logo_dir = "{}/data/logo/".format(os.getcwd()).replace("\\", "/")
  1280. check_path(logo_dir)
  1281. session.close()
  1282. fpath, fname = os.path.split(logo_path)
  1283. logo_path_info = logo_dir + fname
  1284. shutil.copy(logo_path, logo_path_info) # 复制文件
  1285. logo_files = os.listdir(logo_dir)
  1286. logo_list = []
  1287. for logoItem in logo_files:
  1288. logo_list.append(f"{logo_dir}{logoItem}")
  1289. return {
  1290. "code": 0,
  1291. "msg": "",
  1292. "data": {"logo": logo_path_info},
  1293. }
  1294. @app.post("/delete_logo", description="删除logo")
  1295. def delete_logo(params: LogoParamsupdate):
  1296. logo_path = params.path
  1297. if os.path.isfile(logo_path) == False:
  1298. return {"code": 1, "msg": "logo文件不存在", "data": None}
  1299. os.remove(logo_path)
  1300. logo_dir = "{}/data/logo/".format(os.getcwd()).replace("\\", "/")
  1301. check_path(logo_dir)
  1302. logo_files = os.listdir(logo_dir)
  1303. logo_list = []
  1304. for logoItem in logo_files:
  1305. logo_list.append(f"{logo_dir}{logoItem}")
  1306. return {"code": 0, "msg": "操作成功", "data": logo_list}
  1307. @app.post("/close_other_window", description="关闭窗口")
  1308. def close_other_window():
  1309. hwnd_list = []
  1310. def callback(hwnd, _):
  1311. title = GetWindowText(hwnd)
  1312. if title == "digiCamControl by Duka Istvan":
  1313. hwnd_list.append(hwnd)
  1314. EnumWindows(callback, None)
  1315. if hwnd_list:
  1316. hwnd = hwnd_list[0]
  1317. win32gui.PostMessage(hwnd, win32con.WM_CLOSE, 0, 0)
  1318. return {"code": 0, "msg": "关闭成功", "data": {"status": True}}
  1319. return {"code": 0, "msg": "关闭失败", "data": {"status": False}}
  1320. def syncUserJsonConfigs(token):
  1321. hlm_token = token
  1322. headers = {
  1323. "Authorization": f"Bearer {hlm_token}",
  1324. "content-type": "application/json",
  1325. }
  1326. # 追加配置参数 machine_type 拍照机设备类型;0鞋;1服装
  1327. url = settings.DOMAIN + f"/api/ai_image/camera_machine/get_all_user_configs?machine_type={MACHINE_TYPE}"
  1328. result = requests.get(url=url, headers=headers)
  1329. sys_configs = result.json().get("data", {}).get("configs")
  1330. session = SqlQuery()
  1331. sysConfigs = CRUD(SysConfigs)
  1332. if sys_configs:
  1333. sysConfigs.deleteConditions(session, {})
  1334. configList = []
  1335. for config_keys in sys_configs.keys():
  1336. sys_configs[config_keys]
  1337. configList.append(
  1338. {
  1339. "key": config_keys,
  1340. "value": json.dumps(sys_configs[config_keys], ensure_ascii=False),
  1341. }
  1342. )
  1343. batch_insert_sys_configs(session, configList)
  1344. session.close()
  1345. @app.post("/sync_sys_configs", description="同步线上配置到本地")
  1346. def sync_sys_configs(params: SyncLocalConfigs):
  1347. hlm_token = params.token
  1348. env = params.env
  1349. settings.USER_TOKEN = hlm_token
  1350. settings.USER_ENV = env
  1351. headers = {
  1352. "Authorization": f"Bearer {hlm_token}",
  1353. "content-type": "application/json",
  1354. }
  1355. # 追加配置参数 machine_type 拍照机设备类型;0鞋;1服装
  1356. url = settings.getDoman(env) + f"/api/ai_image/camera_machine/get_all_user_configs?machine_type={MACHINE_TYPE}"
  1357. result = requests.get(url=url, headers=headers)
  1358. sys_configs = result.json().get("data", {}).get("configs")
  1359. session = SqlQuery()
  1360. sysConfigs = CRUD(SysConfigs)
  1361. if sys_configs:
  1362. sysConfigs.deleteConditions(session, {})
  1363. configList = []
  1364. for config_keys in sys_configs.keys():
  1365. sys_configs[config_keys]
  1366. configList.append(
  1367. {
  1368. "key": config_keys,
  1369. "value": json.dumps(sys_configs[config_keys], ensure_ascii=False),
  1370. }
  1371. )
  1372. batch_insert_sys_configs(session, configList)
  1373. else:
  1374. all_configs = sysConfigs.read_all(session)
  1375. localConfigData = {}
  1376. for local_config in all_configs:
  1377. localConfigData[local_config.key] = json.loads(local_config.value)
  1378. data_json = json.dumps({"configs": localConfigData,"machine_type":MACHINE_TYPE}, ensure_ascii=False)
  1379. # 同步本地到线上
  1380. url = settings.DOMAIN + "/api/ai_image/camera_machine/update_all_user_configs"
  1381. requests.post(url=url, headers=headers, data=data_json)
  1382. session.close()
  1383. return {"code": 0, "msg": "操作成功", "data": None}
  1384. @app.post("/sync_actions", description="同步左右脚配置到本地")
  1385. def sync_action_configs(params: SyncLocalConfigs):
  1386. hlm_token = params.token
  1387. env = params.env
  1388. settings.USER_TOKEN = hlm_token
  1389. settings.USER_ENV = env
  1390. headers = {
  1391. "Authorization": f"Bearer {hlm_token}",
  1392. "content-type": "application/json",
  1393. }
  1394. url = settings.getDoman(env) + f"/api/ai_image/camera_machine/get_all_user_tabs?machine_type={MACHINE_TYPE}"
  1395. result = requests.get(url=url, headers=headers)
  1396. session = SqlQuery()
  1397. deviceConfigs = CRUD(DeviceConfig)
  1398. deviceConfigTabs = CRUD(DeviceConfigTabs)
  1399. tabs = result.json().get("data", {}).get("tabs")
  1400. actions = result.json().get("data", {}).get("actions")
  1401. if tabs:
  1402. # 先删除再创建
  1403. deviceConfigTabs.deleteConditions(session, {})
  1404. deviceConfigs.deleteConditions(session, {},False)
  1405. batch_insert_device_configsNew(session, tabs, actions)
  1406. else:
  1407. all_actions = deviceConfigs.read_all(session)
  1408. all_tabs = deviceConfigTabs.read_all(session)
  1409. all_tabs_json = [item.model_dump(mode='json') for item in all_tabs]
  1410. all_actions_json = [item.model_dump(mode="json") for item in all_actions]
  1411. data_json = json.dumps(
  1412. {"tabs": all_tabs_json, "actions": all_actions_json,"machine_type":MACHINE_TYPE}, ensure_ascii=False
  1413. )
  1414. sync_url = settings.DOMAIN + "/api/ai_image/camera_machine/sync_actions"
  1415. result = requests.post(url=sync_url, headers=headers, data=data_json)
  1416. tabs = result.json().get("data", {}).get("tabs")
  1417. actions = result.json().get("data", {}).get("actions")
  1418. insert_action_ids = result.json().get("data", {}).get("insert_action_ids")
  1419. if tabs:
  1420. deviceConfigTabs.deleteConditions(session, {})
  1421. deviceConfigs.deleteConditions(session, {})
  1422. batch_insert_device_configsNew(session, tabs, actions)
  1423. if insert_action_ids:
  1424. for action_item in insert_action_ids:
  1425. photos = CRUD(PhotoRecord)
  1426. old_id = action_item.get("old_id")
  1427. new_id = action_item.get("new_id")
  1428. kwargs = {"action_id": new_id}
  1429. photos.updateConditionsAll(
  1430. session, conditions={"action_id": old_id}, **kwargs
  1431. )
  1432. # 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
  1433. # syncUserJsonConfigs(hlm_token)
  1434. session.close()
  1435. return {"code": 0, "msg": "操作成功", "data": None}
  1436. @app.get("/get_goods_image_json", description="关闭窗口")
  1437. def get_goods_image_json(goods_art_no: str,token:str):
  1438. remove_pic_ins = RemoveBgALi()
  1439. if goods_art_no == None or goods_art_no == "":
  1440. # 判断货号是否存在
  1441. raise UnicornException("货号不能为空")
  1442. session = SqlQuery()
  1443. photoRecord = CRUD(PhotoRecord)
  1444. goods_art_record = photoRecord.read_all(
  1445. session, conditions={"goods_art_no": goods_art_no,"delete_time": None}
  1446. )
  1447. if not goods_art_record:
  1448. raise UnicornException("该货号拍摄记录不存在")
  1449. action_id_array = [record.action_id for record in goods_art_record]
  1450. devices = CRUD(DeviceConfig)
  1451. devices_record = devices.read_all(session,conditions={"id": action_id_array})
  1452. # 提取 action_name 字段并拼接
  1453. action_names = [str(record.action_name) for record in devices_record]
  1454. action_names_str = ",".join(action_names)
  1455. image_arrays = []
  1456. for goods_art_record_item in goods_art_record:
  1457. image_path = goods_art_record_item.image_path
  1458. try:
  1459. image_url = uploadImage(remove_pic_ins=remove_pic_ins,token=token, local_path=image_path)
  1460. except Exception as e:
  1461. raise UnicornException("网络异常,请重试")
  1462. image_arrays.append(image_url)
  1463. session.close()
  1464. return {"code": 0, "msg": "关闭失败", "data": {"customer_template_images": image_arrays,"template_image_order":action_names_str}}
  1465. def uploadImage(remove_pic_ins,token:str, local_path: str) -> str:
  1466. im = remove_pic_ins.get_image_cut_new(file_path=local_path)
  1467. post_headers = {"Authorization": "Bearer " +token}
  1468. url = settings.DOMAIN + "/api/upload"
  1469. resultData = requests.post(
  1470. url, files={"file":im}, headers=post_headers
  1471. ).json()
  1472. return resultData["data"]["url"]
  1473. @app.post("/remove_background", description="图片抠图-http请求")
  1474. async def remove_background(params:PhotoRecordRemoveBackground):
  1475. # await socket_manager.send_message(msg="测试")
  1476. executor = ThreadPoolExecutor(max_workers=4)
  1477. obj = None
  1478. token = params.token
  1479. token = "Bearer " + token
  1480. uuid = mine_uuid.uuid4().hex
  1481. run_main = RunMain(obj, token, uuid)
  1482. goods_art_no_arrays = params.goods_art_nos
  1483. limit_path = "{}/{}".format(settings.OUTPUT_DIR,
  1484. time.strftime("%Y-%m-%d", time.localtime(time.time()))
  1485. )
  1486. try:
  1487. move_folder_array = handlerFolderDelete(limit_path,goods_art_no_arrays,True)
  1488. except UnicornException as e:
  1489. raise UnicornException(e.msg)
  1490. # 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
  1491. session = SqlQuery()
  1492. for goods_art_no in goods_art_no_arrays:
  1493. pr = CRUD(PhotoRecord)
  1494. images = pr.read_all(session, conditions={"goods_art_no": goods_art_no,"delete_time": None})
  1495. if not images:
  1496. 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")
  1497. if move_folder_array.get(goods_art_no) == None:
  1498. image_dir = "{}/data/".format(os.getcwd()).replace("\\", "/")
  1499. check_path(image_dir)
  1500. for idx, itemImg in enumerate(images):
  1501. if itemImg.image_path == "" or itemImg.image_path == None:
  1502. 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")
  1503. # new_file_name = (
  1504. # str(idx)+"_"+str(itemImg.goods_art_no) + "_" + str(idx) + ".jpg"
  1505. # )
  1506. # if not os.path.exists(
  1507. # image_dir + "/" + os.path.basename(new_file_name)
  1508. # ):
  1509. # shutil.copy(itemImg.image_path, image_dir + new_file_name)
  1510. dealImage = DealImage(image_dir)
  1511. resFlag, path = dealImage.dealMoveImageV2(
  1512. goods_art_no=goods_art_no,
  1513. )
  1514. if not resFlag:
  1515. raise UnicornException(f"抠图操作异常,请检查目录是否存在,或者权限不足")
  1516. session.close()
  1517. # try:
  1518. cutOutMode = (
  1519. "1"
  1520. if settings.getSysConfigs("other_configs", "cutout_mode", "普通抠图")
  1521. == "普通抠图"
  1522. else "2"
  1523. )
  1524. config_data = {
  1525. "image_dir": limit_path,
  1526. "image_order": (
  1527. "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"
  1528. ),
  1529. "goods_art_no": "",
  1530. "goods_art_nos": goods_art_no_arrays,
  1531. "is_check_number": False,
  1532. "resize_image_view": "后跟",
  1533. "cutout_mode": cutOutMode,
  1534. "logo_path": "",
  1535. "special_goods_art_no_folder_line": "",
  1536. "is_use_excel": False, # 是否使用excel
  1537. "excel_path": "", # excel路径
  1538. "is_check_color_is_all": False,
  1539. "cutout_is_pass": True,
  1540. "assigned_page_dict": {},
  1541. "detail_is_pass": True,
  1542. "upload_is_pass": False,
  1543. "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
  1544. "is_filter": False,
  1545. "temp_class": {},
  1546. "temp_name": "",
  1547. "temp_name_list": [],
  1548. "target_error_folder": f"{limit_path}/软件-生成详情错误",
  1549. "success_handler": [],
  1550. }
  1551. try:
  1552. loop = asyncio.get_event_loop()
  1553. return_data = await loop.run_in_executor(
  1554. executor, partial(run_main.check_before_cutout, config_data)
  1555. )
  1556. cutout_res = await loop.run_in_executor(
  1557. executor,
  1558. partial(run_main.check_for_cutout_image_first_call_back, return_data),
  1559. )
  1560. handler_result = []
  1561. have_handler_keys = move_folder_array.keys()
  1562. if cutout_res:
  1563. handler_result_folder = f"{config_data['image_dir']}"
  1564. for goods_art_item in goods_art_no_arrays:
  1565. handler_result.append({
  1566. "goods_art_no": goods_art_item,
  1567. "success": True,
  1568. "info": "处理成功",
  1569. })
  1570. else:
  1571. return {"code": 1, "message": "抠图失败", "data": None}
  1572. if len(have_handler_keys) == len(goods_art_no_arrays) or (len(have_handler_keys) == 0 and cutout_res):
  1573. handler_result_folder = handler_result_folder.replace("\\", "/")
  1574. success_items = [item for item in handler_result if item.get('success') == True]
  1575. cutout_folder = handler_result_folder+"/"+success_items[0].get("goods_art_no")+"/800x800" if len(success_items) > 0 else ""
  1576. progress = {
  1577. "status": "处理完成",
  1578. "current": len(goods_art_no_arrays),
  1579. "total": len(goods_art_no_arrays),
  1580. "error": 0,
  1581. "folder":cutout_folder,
  1582. }
  1583. return {"code": 0, "message": "抠图完成", "data": {"output_folder": handler_result_folder, "list": handler_result,"progress":progress}}
  1584. except UnicornException as e:
  1585. raise UnicornException(e.msg)
  1586. except Exception as e:
  1587. print("error",e)
  1588. raise UnicornException(f"抠图异常,请稍后重试:{e}")
  1589. @app.post("/syncPhotoRecord", description="同步本地拍照记录-和output目录")
  1590. async def syncPhotoRecord(params:SyncPhotoRecord):
  1591. # 查询所有不重复的货号及对应的最大时间,进行分页
  1592. settings.USER_TOKEN = params.token
  1593. settings.USER_ENV = params.env
  1594. syncStatus = settings.checkRecordSyncStatus()
  1595. if syncStatus == True:
  1596. # 同步过就无需再同步
  1597. return {"code": 0, "message": "同步完成", "data": None}
  1598. session = SqlQuery()
  1599. base_statement = (
  1600. select(PhotoRecord)
  1601. .where(PhotoRecord.delete_time == None)
  1602. )
  1603. paginated_results = session.exec(base_statement).all()
  1604. def model_to_dict(model):
  1605. """将SQLAlchemy模型对象转换为字典,排除_sa_instance_state"""
  1606. result = {}
  1607. for column in model.__table__.columns:
  1608. result[column.name] = getattr(model, column.name)
  1609. return result
  1610. json_results = []
  1611. for result in paginated_results:
  1612. # 使用自定义函数将SQLAlchemy对象转换为字典
  1613. json_results.append(model_to_dict(result))
  1614. # 最终转换为JSON字符串
  1615. settings.syncPhotoRecord(json_results,action_type=0)
  1616. session.close()
  1617. return {"code": 0, "message": "同步完成", "data": None}
  1618. def copy_directory_walk(src, dst):
  1619. """
  1620. 使用 os.walk() 遍历并复制目录
  1621. """
  1622. for root, dirs, files in os.walk(src):
  1623. # 计算相对路径
  1624. rel_path = os.path.relpath(root, src)
  1625. dst_dir = os.path.join(dst, rel_path) if rel_path != '.' else dst
  1626. # 创建目标目录
  1627. if not os.path.exists(dst_dir):
  1628. os.makedirs(dst_dir)
  1629. # 复制文件
  1630. for file in files:
  1631. src_file = os.path.join(root, file)
  1632. dst_file = os.path.join(dst_dir, file)
  1633. shutil.copy2(src_file, dst_file)
  1634. def rename_file_safe(src, dst, overwrite=True):
  1635. """
  1636. 安全地重命名文件
  1637. Args:
  1638. src: 源文件路径
  1639. dst: 新文件路径
  1640. overwrite: 是否覆盖已存在的文件
  1641. """
  1642. try:
  1643. # 检查源文件是否存在
  1644. if not os.path.exists(src):
  1645. return False, f"源文件 {src} 不存在"
  1646. # 检查目标文件是否存在
  1647. if os.path.exists(dst) and not overwrite:
  1648. return False, f"目标文件 {dst} 已存在,设置 overwrite=True 以覆盖"
  1649. # 执行重命名
  1650. os.rename(src, dst)
  1651. return True, f"文件已成功从 {src} 重命名为 {dst}"
  1652. except OSError as e:
  1653. return False, f"重命名失败: {str(e)}"
  1654. @app.post("/rename_shadow_folder", description="同步本地拍照记录-和output目录")
  1655. async def rename_shadow_folder(params:RenameShadow):
  1656. # 货号数组
  1657. goods_art_nos = params.goods_art_nos
  1658. # for goods_art_no in goods_art_nos:
  1659. # 查询这些货号的所有记录
  1660. goods_art_dict = {}
  1661. for goods in goods_art_nos:
  1662. query = (
  1663. select(PhotoRecord, DeviceConfig.action_name)
  1664. .outerjoin(DeviceConfig, PhotoRecord.action_id == DeviceConfig.id)
  1665. .where(PhotoRecord.goods_art_no.in_(goods_art_nos))
  1666. .where(PhotoRecord.delete_time == None)
  1667. .order_by(PhotoRecord.goods_art_no, asc("id")) # 按货号分组并按ID倒序
  1668. )
  1669. all_items = session.exec(query).mappings().all()
  1670. if len(all_items) == 0: # 如果没有记录则返回
  1671. # raise UnicornException("暂无可用货号")
  1672. continue
  1673. goods_art_rename_list = []
  1674. for item in all_items:
  1675. if item["action_name"] == None:
  1676. continue
  1677. data = {"goods_art_no": item.PhotoRecord.goods_art_no, "action_name": item["action_name"],"image_index":item.PhotoRecord.image_index}
  1678. goods_art_rename_list.append(data)
  1679. goods_art_dict[goods] = goods_art_rename_list
  1680. outputDir = settings.OUTPUT_DIR
  1681. if not os.path.exists(outputDir):
  1682. raise UnicornException(f"生成目录[{outputDir}]暂无文件,请拍摄或抠图后处理")
  1683. outputList = os.listdir(outputDir)
  1684. success_result = []
  1685. for firstDir in outputList:
  1686. secondPath = f"{outputDir}\\{firstDir}"
  1687. for goodsArt in goods_art_dict:
  1688. goods_art_no_obj = goods_art_dict[goodsArt]
  1689. goodsArtPath = f"{secondPath}\\{goodsArt}"
  1690. if not os.path.exists(goodsArtPath):
  1691. continue
  1692. renameSrcPath = f"{goodsArtPath}\\阴影图处理"
  1693. renameDstPath = f"{goodsArtPath}\\阴影图处理-重命名"
  1694. if not os.path.exists(renameSrcPath):
  1695. print("阴影图目录不存在...","不处理")
  1696. continue
  1697. if len(os.listdir(renameSrcPath)) == 0:
  1698. print("阴影图处理目录无内容...","不处理")
  1699. continue
  1700. if not os.path.exists(renameDstPath):
  1701. try:
  1702. copy_directory_walk(renameSrcPath,renameDstPath)
  1703. except Exception as e:
  1704. print("重命名失败",e)
  1705. continue
  1706. dstPath = os.listdir(renameDstPath)
  1707. for dts_files in dstPath:
  1708. for goods_obj in goods_art_no_obj:
  1709. goods_art_no_name = goods_obj["goods_art_no"]
  1710. image_index = goods_obj["image_index"]
  1711. action_name = goods_obj["action_name"]
  1712. image_index+=1
  1713. basic_name = f"{goods_art_no_name}({image_index})"
  1714. if basic_name in dts_files:
  1715. if "抠图" in dts_files:
  1716. is_ok,msg = rename_file_safe(f"{renameDstPath}\\{dts_files}",f"{renameDstPath}\\{basic_name}_{action_name}_抠图.png")
  1717. print(is_ok,msg)
  1718. if "阴影" in dts_files:
  1719. is_ok,msg = rename_file_safe(f"{renameDstPath}\\{dts_files}",f"{renameDstPath}\\{basic_name}_{action_name}_阴影.png")
  1720. print(is_ok,msg)
  1721. print("goods_obj",goods_obj)
  1722. success_result.append({"goods_art_no":goodsArt,"path":renameDstPath})
  1723. return {"code": 0, "message": "重命名完成", "data": {"result": success_result}}
  1724. @app.get("/minimize_window", description="最小化窗口")
  1725. def minimize_window(window_title: str):
  1726. hwnd_list = []
  1727. if window_title == "" or window_title == None:
  1728. window_title = "Smart Shooter"
  1729. window_title = window_title.lower()
  1730. def callback(hwnd, _):
  1731. title = GetWindowText(hwnd)
  1732. title = title.lower()
  1733. if window_title in title or title == window_title:
  1734. hwnd_list.append(hwnd)
  1735. EnumWindows(callback, None)
  1736. if hwnd_list:
  1737. hwnd = hwnd_list[0]
  1738. win32gui.ShowWindow(hwnd, win32con.SW_MINIMIZE)
  1739. return {"code": 0, "msg": "最小化成功", "data": {"status": True}}
  1740. return {"code": 0, "msg": "最小化失败", "data": {"status": False}}
  1741. def _sync_import_images_logic(dir_path: str, goods_art_nos: str = None):
  1742. """
  1743. 同步执行的文件遍历和数据库插入逻辑
  1744. :param dir_path: 图片根目录
  1745. :param goods_art_nos: 指定货号。
  1746. """
  1747. if not os.path.exists(dir_path):
  1748. raise UnicornException(f"目录不存在: {dir_path}")
  1749. session = SqlQuery()
  1750. # photo_record_crud = CRUD(PhotoRecord)
  1751. # 支持的图片扩展名
  1752. image_extensions = ('.jpg', '.jpeg', '.png', '.bmp', '.gif', '.webp')
  1753. success_count = 0
  1754. fail_count = 0
  1755. try:
  1756. # ================== 阶段 1: 收集所有待处理的唯一货号 ==================
  1757. goods_art_nos_to_check = set()
  1758. # 用于后续遍历时的映射关系: {root_path: goods_art_no}
  1759. # 避免在第二阶段再次进行复杂的路径解析
  1760. dir_goods_map = {}
  1761. for root, dirs, files in os.walk(dir_path):
  1762. current_goods_art_no = None
  1763. # 如果没有指定全局货号,尝试从相对路径提取货号
  1764. if not current_goods_art_no:
  1765. relative_path = os.path.relpath(root, dir_path)
  1766. parts = relative_path.split(os.sep)
  1767. # 跳过根目录本身,只处理子目录作为货号的情况
  1768. if relative_path == ".":
  1769. continue
  1770. # 取第一层目录名作为货号
  1771. current_goods_art_no = parts[0]
  1772. if current_goods_art_no:
  1773. if current_goods_art_no not in goods_art_nos:
  1774. raise UnicornException(f"可用货号超出权限范围: {root}")
  1775. goods_art_nos_to_check.add(current_goods_art_no)
  1776. # 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
  1777. dir_goods_map[root] = current_goods_art_no
  1778. # ================== 阶段 2: 批量查询数据库中已存在的货号 ==================
  1779. existing_goods_nos = set()
  1780. if goods_art_nos_to_check:
  1781. # 使用 in_ 进行批量查询,只获取货号字段即可,减少数据传输
  1782. # 注意:这里假设 PhotoRecord 有 goods_art_no 字段
  1783. statement = select(PhotoRecord.goods_art_no).where(
  1784. and_(
  1785. PhotoRecord.goods_art_no.in_(list(goods_art_nos_to_check)),
  1786. PhotoRecord.delete_time == None
  1787. )
  1788. ).distinct()
  1789. db_results = session.exec(statement).all()
  1790. existing_goods_nos = set(db_results)
  1791. # ================== 阶段 3: 预校验,如果有已存在的货号,直接报错 ==================
  1792. if existing_goods_nos:
  1793. # 将集合转换为列表或字符串展示给用户
  1794. existing_list = ", ".join(existing_goods_nos)
  1795. 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}]")
  1796. # ================== 阶段 4: 执行文件遍历和数据插入 ==================
  1797. # 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
  1798. for root, dirs, files in os.walk(dir_path):
  1799. # 获取当前目录对应的货号
  1800. current_goods_art_no = dir_goods_map.get(root)
  1801. # 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
  1802. if not current_goods_art_no:
  1803. continue
  1804. for idx, file in enumerate(files):
  1805. if file.lower().endswith(image_extensions):
  1806. full_path = os.path.join(root, file)
  1807. try:
  1808. data_to_insert = {
  1809. "image_path": full_path,
  1810. "goods_art_no": current_goods_art_no,
  1811. "action_id": 0,
  1812. "image_index": idx,
  1813. 'image_deal_mode':0,
  1814. 'photo_create_time':datetime.datetime.now(),
  1815. "create_time": datetime.datetime.now(),
  1816. "update_time": datetime.datetime.now(),
  1817. }
  1818. new_record = PhotoRecord(**data_to_insert)
  1819. session.add(new_record)
  1820. success_count += 1
  1821. except Exception as e:
  1822. logger.error(f"导入图片失败 {full_path}: {str(e)}")
  1823. fail_count += 1
  1824. # 提交事务
  1825. session.commit()
  1826. logger.info(f"导入完成: 成功 {success_count}, 失败 {fail_count}")
  1827. return {
  1828. "message": "导入完成",
  1829. "success": success_count,
  1830. "failed": fail_count,
  1831. }
  1832. except UnicornException:
  1833. # 重新抛出自定义异常
  1834. raise
  1835. except Exception as e:
  1836. session.rollback()
  1837. logger.error(f"导入过程发生严重错误: {str(e)}")
  1838. raise e
  1839. finally:
  1840. session.close()
  1841. @app.post("/import_dirs")
  1842. async def import_images_from_dir(params:ImportDirs):
  1843. """
  1844. 遍历指定目录及其子目录,将图片路径导入数据库
  1845. """
  1846. dir_path = params.dir_path
  1847. goods_art_nos = params.goods_art_nos
  1848. # 基本安全检查,防止路径遍历攻击或无效路径
  1849. if not os.path.isdir(dir_path):
  1850. raise UnicornException(f"无效目录: {dir_path}")
  1851. try:
  1852. # 将阻塞的 IO 和 DB 操作放在线程池中执行
  1853. result = _sync_import_images_logic(dir_path,goods_art_nos)
  1854. return {"code": 0, "msg": "操作成功", "data": result}
  1855. except FileNotFoundError as e:
  1856. raise UnicornException(str(e))
  1857. except Exception as e:
  1858. logger.error(f"API 调用异常: {str(e)}")
  1859. raise UnicornException(f"{str(e)}")