EquipmentInfoService.py 32 KB

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  1. # -*- encoding: utf-8 -*-
  2. """
  3. @File : EquipmentInfoService.py
  4. @Time : 2022/4/14 17:28
  5. @Author : stephen
  6. @Email : zhangdongming@asj6.wecom.work
  7. @Software: PyCharm
  8. """
  9. import datetime
  10. import itertools
  11. import logging
  12. import time
  13. from django.db.models import Value, CharField, Q, F
  14. from Model.models import EquipmentInfoMonday, EquipmentInfoTuesday, EquipmentInfoWednesday, EquipmentInfoThursday, \
  15. EquipmentInfoFriday, EquipmentInfoSaturday, EquipmentInfoSunday, EquipmentInfo1, EquipmentInfo2, EquipmentInfo3, \
  16. EquipmentInfo4, EquipmentInfo5, EquipmentInfo6, EquipmentInfo7, EquipmentInfo8, EquipmentInfo9, EquipmentInfo10, \
  17. EquipmentInfo11, EquipmentInfo12, EquipmentInfo13, EquipmentInfo14, EquipmentInfo15, EquipmentInfo16, \
  18. EquipmentInfo17, EquipmentInfo18, EquipmentInfo19, EquipmentInfo20
  19. from Object.utils import LocalDateTimeUtil
  20. """
  21. 设备分表查询Service
  22. 因数据量不断增加,单表保留近七天数据进行分表优化设计
  23. 进行拆分为七张表星期一至星期天进行分表存储。分担单表存储读写压力。
  24. """
  25. class EquipmentInfoService:
  26. @staticmethod
  27. def get_equipment_info_model(dt, val=0):
  28. """
  29. 根据日期判断是星期几,返回相应的Model对象
  30. @param val: 1-7代表week
  31. @param dt: 日期 例:2022-03-03
  32. @return: 星期一至星期天equipment_info对象实例
  33. """
  34. week = 1
  35. if dt:
  36. week = LocalDateTimeUtil.date_to_week(dt)
  37. if 0 < val < 8:
  38. week = val
  39. equipment_info = None
  40. if week == 1:
  41. equipment_info = EquipmentInfoMonday.objects.all().annotate(tab_val=Value('1', output_field=CharField()))
  42. elif week == 2:
  43. equipment_info = EquipmentInfoTuesday.objects.all().annotate(tab_val=Value('2', output_field=CharField()))
  44. elif week == 3:
  45. equipment_info = EquipmentInfoWednesday.objects.all().annotate(tab_val=Value('3', output_field=CharField()))
  46. elif week == 4:
  47. equipment_info = EquipmentInfoThursday.objects.all().annotate(tab_val=Value('4', output_field=CharField()))
  48. elif week == 5:
  49. equipment_info = EquipmentInfoFriday.objects.all().annotate(tab_val=Value('5', output_field=CharField()))
  50. elif week == 6:
  51. equipment_info = EquipmentInfoSaturday.objects.all().annotate(tab_val=Value('6', output_field=CharField()))
  52. elif week == 7:
  53. equipment_info = EquipmentInfoSunday.objects.all().annotate(tab_val=Value('7', output_field=CharField()))
  54. return equipment_info
  55. @classmethod
  56. def find_by_start_time_equipment_info(cls, page, size, user_id, start_time, end_time, event_type,
  57. uid_list):
  58. """
  59. 通过start_time查找指定日期当天设备消息推送
  60. @param page: 页数
  61. @param size: 每页条数
  62. @param user_id: 设备用户id
  63. @param start_time: 开始时间
  64. @param end_time: 结束时间
  65. @param event_type: 事件类型
  66. @param uid_list: 设备uid列表
  67. @return: result 查询结果
  68. """
  69. if start_time and end_time:
  70. start_date = datetime.datetime.fromtimestamp(int(start_time))
  71. # 根据开始日期,获取设备信息查询对象
  72. qs = EquipmentInfoService.get_equipment_info_model(str(start_date.date()), 0)
  73. # 调用查询方法
  74. qs = cls.query_equipment_info(qs, user_id, start_time, end_time, event_type,
  75. uid_list)
  76. # 时区问题
  77. week = LocalDateTimeUtil.date_to_week(str(start_date.date()))
  78. if week > 0:
  79. # 根据筛选日期 查找昨天数据
  80. yesterday = 7 if week == 1 else week - 1
  81. yesterday_info = EquipmentInfoService.get_equipment_info_model('', yesterday)
  82. yesterday_info = cls.query_equipment_info(yesterday_info, user_id, start_time, end_time, event_type,
  83. uid_list)
  84. # 根据筛选日期 查找明天数据
  85. tomorrow = 1 if week == 7 else week + 1
  86. tomorrow_info = EquipmentInfoService.get_equipment_info_model('', tomorrow)
  87. tomorrow_info = cls.query_equipment_info(tomorrow_info, user_id, start_time, end_time, event_type,
  88. uid_list)
  89. qs = qs.union(yesterday_info, tomorrow_info, all=True)
  90. if qs.exists():
  91. count = qs.count()
  92. qs_page = cls.get_equipment_info_page(qs, page, size)
  93. return qs_page, count
  94. return None, 0
  95. @classmethod
  96. def get_equipment_info_week_all(cls, page, size, user_id, start_time, end_time, event_type,
  97. uid_list):
  98. """
  99. 分表查询近七天设备消息推送
  100. @param page: 页数
  101. @param size: 分页大小
  102. @param user_id: 设备用户id
  103. @param start_time: 事件开始时间
  104. @param end_time: 事件结束时间
  105. @param event_type: 事件类型
  106. @param uid_list: uid列表
  107. @return: qs_page, count 结果集
  108. """
  109. # 星期一设备信息查询
  110. monday_qs = EquipmentInfoService.get_equipment_info_model('', 1)
  111. monday_qs = cls.query_equipment_info(monday_qs, user_id, start_time, end_time, event_type,
  112. uid_list)
  113. # 星期二设备信息查询
  114. tuesday_qs = EquipmentInfoService.get_equipment_info_model('', 2)
  115. tuesday_qs = cls.query_equipment_info(tuesday_qs, user_id, start_time, end_time, event_type,
  116. uid_list)
  117. # 星期三设备信息查询
  118. wednesday_qs = EquipmentInfoService.get_equipment_info_model('', 3)
  119. wednesday_qs = cls.query_equipment_info(wednesday_qs, user_id, start_time, end_time, event_type,
  120. uid_list)
  121. # 星期四设备信息查询
  122. thursday_qs = EquipmentInfoService.get_equipment_info_model('', 4)
  123. thursday_qs = cls.query_equipment_info(thursday_qs, user_id, start_time, end_time, event_type,
  124. uid_list)
  125. # 星期五设备信息查询
  126. friday_qs = EquipmentInfoService.get_equipment_info_model('', 5)
  127. friday_qs = cls.query_equipment_info(friday_qs, user_id, start_time, end_time, event_type,
  128. uid_list)
  129. # 星期六设备信息查询
  130. saturday_qs = EquipmentInfoService.get_equipment_info_model('', 6)
  131. saturday_qs = cls.query_equipment_info(saturday_qs, user_id, start_time, end_time, event_type,
  132. uid_list)
  133. # 星期天设备信息查询
  134. sunday_qs = EquipmentInfoService.get_equipment_info_model('', 7)
  135. sunday_qs = cls.query_equipment_info(sunday_qs, user_id, start_time, end_time, event_type,
  136. uid_list)
  137. result = monday_qs.union(tuesday_qs, wednesday_qs, thursday_qs, friday_qs, saturday_qs, sunday_qs, all=True)
  138. count = result.count()
  139. qs_page = cls.get_equipment_info_page(result, page, size)
  140. return qs_page, count
  141. @classmethod
  142. def query_equipment_info(cls, qs, user_id, start_time, end_time, event_type,
  143. uid_list):
  144. """
  145. 设备信息条件查询,根据分表设计,默认条件event_time大于七天前时间
  146. @param qs: 设备信息查询对象
  147. @param user_id: 设备用户id
  148. @param start_time: 开始时间
  149. @param end_time: 结束时间
  150. @param event_type: 事件类型
  151. @param uid_list: 设备uid列表
  152. @return: result 设备信息结果集
  153. """
  154. now_time = int(time.time())
  155. # 获取七天前时间戳
  156. seven_days_before_time = LocalDateTimeUtil.get_before_days_timestamp(now_time, 7)
  157. # 默认查询当前表event_time大于七天前时间
  158. qs = qs.filter(event_time__gt=seven_days_before_time)
  159. if user_id:
  160. qs = qs.filter(device_user_id=user_id)
  161. if event_type:
  162. # 多类型查询
  163. eventTypeList = cls.get_comb_event_type(event_type)
  164. # eventTypeList += cls.get_combo_type_bins(event_type)
  165. eventTypeList = list(set(eventTypeList))
  166. tags = cls.get_event_tag(event_type)
  167. if eventTypeList:
  168. qs = qs.filter(Q(event_type__in=eventTypeList, event_tag='') | Q(event_tag__regex=tags))
  169. elif tags:
  170. qs = qs.filter(event_tag__regex=tags)
  171. if start_time and end_time:
  172. qs = qs.filter(event_time__range=(start_time, end_time))
  173. else:
  174. qs = qs.filter(event_time__range=(start_time, now_time))
  175. if uid_list:
  176. uid_list = uid_list.split(',')
  177. qs = qs.filter(device_uid__in=uid_list)
  178. return qs
  179. @classmethod
  180. def get_equipment_info_page(cls, equipment_info_qs, page, size):
  181. """
  182. 获取查询结果集进行排序、分页,遍历重命名字典key(主要针对原函数返回结果集)
  183. @param equipment_info_qs: 设备信息结果集
  184. @param page: 页数
  185. @param size: 分页大小
  186. @return: qs_page 遍历后的设备信息结果集
  187. """
  188. equipment_info_qs = equipment_info_qs.values('id', 'device_uid', 'device_nick_name', 'channel', 'event_type',
  189. 'status', 'answer_status', 'alarm',
  190. 'event_time', 'receive_time', 'is_st', 'add_time',
  191. 'storage_location', 'border_coords', 'tab_val', 'event_tag')
  192. equipment_info_qs = equipment_info_qs.order_by('-event_time')
  193. qs_page = equipment_info_qs[(page - 1) * size:page * size]
  194. if not qs_page or not qs_page.exists() or qs_page.count == 0:
  195. return qs_page
  196. for item in qs_page:
  197. # 星期表值
  198. tab_val = item['tab_val']
  199. # id = 星期表值+id
  200. item['id'] = int(tab_val + str(item['id']))
  201. item['devUid'] = item['device_uid']
  202. item['devNickName'] = item['device_nick_name']
  203. item['Channel'] = item['channel']
  204. item['eventType'] = item['event_type']
  205. item['eventTime'] = item['event_time']
  206. item['receiveTime'] = item['receive_time']
  207. item['addTime'] = item['add_time']
  208. item['borderCoords'] = item['border_coords']
  209. item['eventTag'] = item['event_tag']
  210. item.pop('device_uid')
  211. item.pop('device_nick_name')
  212. item.pop('channel')
  213. item.pop('event_type')
  214. item.pop('event_time')
  215. item.pop('receive_time')
  216. item.pop('add_time')
  217. item.pop('border_coords')
  218. item.pop('tab_val')
  219. item.pop('event_tag')
  220. return qs_page
  221. @classmethod
  222. def get_comb_event_type(cls, event_type):
  223. """
  224. 重新组合ai消息类型查询,使其支持ai多标签查询
  225. @param event_type: 消息类型
  226. @return: event_type_list 消息类型数组
  227. """
  228. if ',' in event_type:
  229. event_type_list = event_type.split(',')
  230. event_type_list = [int(i.strip()) for i in event_type_list]
  231. else:
  232. event_type_list = [int(event_type)]
  233. ai_event_type_list = []
  234. normal_event_type_list = []
  235. a_type = [60, 61, 62, 63, 64, 65, 66]
  236. for val in event_type_list:
  237. if val <= 4: # 分离出ai类型,以便后续组合ai标签,目前只存在4个ai类型1,2,3,4
  238. ai_event_type_list.append(val)
  239. else:
  240. if val not in a_type:
  241. normal_event_type_list.append(val)
  242. if len(ai_event_type_list) < 1:
  243. return normal_event_type_list
  244. ai_event_type_list.sort()
  245. ai_type = [1, 2, 3, 4] # AI目前所有的标签,1人,2车,3宠物,4包裹,后续有新类型需要这里加, 后续会优化,存在表里,包裹存对应的aws标签
  246. comb_ai_event_type = []
  247. seen = set()
  248. for i in range(1, len(ai_type) + 1): # 计算所有组合,如[1, 2, 3, 4], 4取1,4取2,4取3,4取4
  249. for s in itertools.combinations(ai_type, i):
  250. if s not in seen: # 去除重复项, 如a=[1,2,3,4,4],会有两个[1,2,3,4,4],[1,2,3,4,4]的组合
  251. seen.add(s)
  252. s_list = list(s)
  253. for ai_event_type in ai_event_type_list:
  254. if ai_event_type in s_list: # 排除没有选择的标签组合
  255. if s_list not in comb_ai_event_type:
  256. s_list = [str(v) for v in s_list]
  257. comb_ai_event_type.append(s_list)
  258. regroup_list = []
  259. for val in comb_ai_event_type: # 组合ai类型组合,如[[2,3],[1,3]] -> [23, 13]
  260. val = ''.join(val)
  261. regroup_list.append(int(val))
  262. group_list = regroup_list + normal_event_type_list # 加上普通移动消息类型
  263. return group_list
  264. @classmethod
  265. def get_all_comb_event_type(cls):
  266. """
  267. 计算ai消息类型全组合
  268. @return: event_type_list ai所有消息类型数组
  269. """
  270. ai_type = [1, 2, 3, 4] # AI目前所有的标签,1人,2车,3宠物,4包裹,后续有新类型需要这里加, 后续会优化,存在表里,包裹存对应的aws标签
  271. comb_ai_event_type = []
  272. for i in range(1, len(ai_type) + 1): # 计算所有组合,如[1, 2, 3, 4], 4取1,4取2,4取3,4取4
  273. for s in itertools.combinations(ai_type, i):
  274. s_list = list(s)
  275. s_list = [str(v) for v in s_list]
  276. comb_ai_event_type.append(s_list)
  277. regroup_list = []
  278. for val in comb_ai_event_type: # 组合ai类型组合,如[[2,3],[1,3]] -> [23, 13]
  279. val = ''.join(val)
  280. regroup_list.append(int(val))
  281. return regroup_list
  282. @staticmethod
  283. def get_equipment_info_obj(dt, **kwargs):
  284. """
  285. 根据日期判断是星期几,返回相应的对象实例
  286. @param dt: 日期 例:2022-03-03
  287. @param kwargs: 设备信息属性值
  288. @return: 星期一至星期天equipment_info对象实例
  289. """
  290. logger = logging.getLogger('info')
  291. week = LocalDateTimeUtil.date_to_week(dt)
  292. logger.info('本周{}'.format(str(week)))
  293. equipment_info = None
  294. if week == 1:
  295. equipment_info = EquipmentInfoMonday(**kwargs)
  296. elif week == 2:
  297. equipment_info = EquipmentInfoTuesday(**kwargs)
  298. elif week == 3:
  299. equipment_info = EquipmentInfoWednesday(**kwargs)
  300. elif week == 4:
  301. equipment_info = EquipmentInfoThursday(**kwargs)
  302. elif week == 5:
  303. equipment_info = EquipmentInfoFriday(**kwargs)
  304. elif week == 6:
  305. equipment_info = EquipmentInfoSaturday(**kwargs)
  306. elif week == 7:
  307. equipment_info = EquipmentInfoSunday(**kwargs)
  308. logger.info(type(equipment_info))
  309. logger.info(equipment_info)
  310. return equipment_info
  311. @classmethod
  312. def get_combo_types(cls, event_type, event_tag):
  313. """
  314. 获取设备算法组合类型
  315. 51:移动侦测,52:传感器报警,53:影像遗失,54:PIR,55:门磁报警,56:外部发报,57:人型报警(提示:有人出现),58:车型,59:宠物,60:人脸,61:异响,
  316. 62:区域闯入,63:区域闯出,64:长时间无人检测,65:长时间无人检测
  317. 0:代表空字符,702:摄像头休眠,703:摄像头唤醒,704:电量过低
  318. AWS AI识别 1:人形,2:车型,3:宠物,4:包裹。云端AI类型
  319. @param event_tag:
  320. @param event_type:
  321. @return:
  322. """
  323. try:
  324. types = []
  325. if event_tag:
  326. res = event_tag.split(',')
  327. types = [int(var) for var in res if var]
  328. return types
  329. res_type = cls.is_type_exist(event_type)
  330. if res_type == 0:
  331. return types
  332. combo_types = [51, 57, 58, 60, 59, 61, 62, 63, 64, 65]
  333. event_type = str(event_type)
  334. len_type = len(event_type)
  335. for i in range(0, len_type):
  336. e_type = int(event_type[len_type - 1 - i])
  337. if e_type == 1:
  338. types.append(combo_types[i])
  339. return types
  340. except Exception as e:
  341. print('推送错误异常,errLine:{}, errMsg:{}'.format(e.__traceback__.tb_lineno, repr(e)))
  342. return event_type
  343. @staticmethod
  344. def is_combo_tag(event_type, event_tag):
  345. """
  346. 是否为多标签
  347. """
  348. if not event_tag:
  349. return False
  350. res = event_tag.split(',')
  351. types = [int(var) for var in res if var]
  352. if event_type in types and len(types) == 1:
  353. return False
  354. return True
  355. @classmethod
  356. def is_type_exist(cls, event_type):
  357. """
  358. 判断类型是否存在列表
  359. @param event_type:
  360. @return: 0 or event_type
  361. """
  362. combo_types = cls.combo_type_all()
  363. if not combo_types:
  364. return 0
  365. if event_type in combo_types:
  366. return event_type
  367. return 0
  368. @staticmethod
  369. def combo_type_all():
  370. """
  371. 获取所有组合类型
  372. @return:
  373. """
  374. arr_list = []
  375. event_arr = []
  376. resource_list = [1, 2, 4, 8, 16, 32, 64, 128, 256, 512]
  377. for i in range(2, len(resource_list) + 1):
  378. arr_list += list(itertools.combinations(resource_list, i)) # 表示从 [1,2,3,4] 中选出 3个元素的组合情况
  379. for i in arr_list:
  380. val = 0
  381. for item in i:
  382. val += item
  383. event_arr.append(int(EquipmentInfoService.dec_to_bin(val)))
  384. return event_arr
  385. @staticmethod
  386. def dec_to_bin(num):
  387. """
  388. 十进制转二进制
  389. @param num:
  390. @return:
  391. """
  392. result = ""
  393. while num != 0:
  394. ret = num % 2
  395. num //= 2
  396. result = str(ret) + result
  397. return result
  398. @staticmethod
  399. def get_combo_type_bins(event_type):
  400. """
  401. 获取组合类型二进制列表
  402. @param event_type: 标签类型
  403. @return:
  404. """
  405. res_list = []
  406. try:
  407. if ',' in event_type:
  408. res_list = event_type.split(',')
  409. res_list = [int(i.strip()) for i in res_list]
  410. else:
  411. res_list = [int(event_type)]
  412. combo_types = [51, 57, 58, 60, 59, 61]
  413. for e_item in res_list:
  414. bins = EquipmentInfoService.combo_type_all()
  415. if e_item in combo_types:
  416. event_label = combo_types.index(e_item) + 1
  417. for item in bins:
  418. val = str(item)
  419. val_len = len(val)
  420. if val_len >= event_label and int(val[val_len - event_label]) == 1:
  421. res_list.append(int(item))
  422. return res_list
  423. except Exception as e:
  424. print('推送错误异常,errLine:{}, errMsg:{}'.format(e.__traceback__.tb_lineno, repr(e)))
  425. return res_list
  426. @staticmethod
  427. def get_event_tag(event_type):
  428. """
  429. 获取标签用于筛选推送消息
  430. """
  431. if ',' in event_type:
  432. tags = ''
  433. res_list = event_type.split(',')
  434. tag_size = len(res_list)
  435. for i, item in enumerate(res_list):
  436. tags += ',' + str(item) + ','
  437. if i < (tag_size - 1):
  438. tags += '|'
  439. return tags
  440. else:
  441. return ',' + str(event_type) + ','
  442. @staticmethod
  443. def update_equipment_answer_status(user_id, uid, event_time):
  444. """
  445. 更新一键通话消息状态
  446. @param user_id: 用户id
  447. @param uid: uid
  448. @param event_time: 事件时间
  449. @return updated_flag: bool
  450. """
  451. updated_flag = False
  452. updated = EquipmentInfoMonday.objects.filter(device_user_id=user_id, device_uid=uid, event_time=event_time,
  453. event_type__in=[606, 607]).update(answer_status=1)
  454. if updated:
  455. updated_flag = True
  456. updated = EquipmentInfoTuesday.objects.filter(device_user_id=user_id, device_uid=uid, event_time=event_time,
  457. event_type__in=[606, 607]).update(answer_status=1)
  458. if updated:
  459. updated_flag = True
  460. updated = EquipmentInfoWednesday.objects.filter(device_user_id=user_id, device_uid=uid, event_time=event_time,
  461. event_type__in=[606, 607]).update(answer_status=1)
  462. if updated:
  463. updated_flag = True
  464. updated = EquipmentInfoThursday.objects.filter(device_user_id=user_id, device_uid=uid, event_time=event_time,
  465. event_type__in=[606, 607]).update(answer_status=1)
  466. if updated:
  467. updated_flag = True
  468. updated = EquipmentInfoFriday.objects.filter(device_user_id=user_id, device_uid=uid, event_time=event_time,
  469. event_type__in=[606, 607]).update(answer_status=1)
  470. if updated:
  471. updated_flag = True
  472. updated = EquipmentInfoSaturday.objects.filter(device_user_id=user_id, device_uid=uid, event_time=event_time,
  473. event_type__in=[606, 607]).update(answer_status=1)
  474. if updated:
  475. updated_flag = True
  476. updated = EquipmentInfoSunday.objects.filter(device_user_id=user_id, device_uid=uid, event_time=event_time,
  477. event_type__in=[606, 607]).update(answer_status=1)
  478. if updated:
  479. updated_flag = True
  480. return updated_flag
  481. @classmethod
  482. def union_equipment_info(cls, user_id, uid_list, event_type, start_time, end_time, page, line):
  483. """
  484. 联表查询推送数据
  485. @param user_id:
  486. @param uid_list:
  487. @param event_type:
  488. @param start_time:
  489. @param end_time:
  490. @param page:
  491. @param line:
  492. @return:
  493. """
  494. try:
  495. kwargs = {
  496. 'device_user_id': user_id,
  497. 'event_time__range': (start_time, end_time),
  498. }
  499. event_type_kwargs = {}
  500. if uid_list:
  501. kwargs['device_uid__in'] = uid_list
  502. if event_type:
  503. # 多类型查询
  504. event_type_list = cls.get_comb_event_type(event_type)
  505. event_type_list = list(set(event_type_list))
  506. tags = cls.get_event_tag(event_type)
  507. if event_type_list:
  508. event_type_kwargs['event_type__in'] = event_type_list
  509. event_type_kwargs['event_tag'] = ''
  510. kwargs['event_tag__regex'] = tags
  511. elif tags:
  512. kwargs['event_tag__regex'] = tags
  513. if not event_type_kwargs:
  514. # 新增tab_val字段记录表的标识:表编号+10
  515. equipment_info_1 = EquipmentInfo1.objects.filter(**kwargs).annotate(tab_val=Value('11', output_field=CharField()))
  516. equipment_info_2 = EquipmentInfo2.objects.filter(**kwargs).annotate(tab_val=Value('12', output_field=CharField()))
  517. equipment_info_3 = EquipmentInfo3.objects.filter(**kwargs).annotate(tab_val=Value('13', output_field=CharField()))
  518. equipment_info_4 = EquipmentInfo4.objects.filter(**kwargs).annotate(tab_val=Value('14', output_field=CharField()))
  519. equipment_info_5 = EquipmentInfo5.objects.filter(**kwargs).annotate(tab_val=Value('15', output_field=CharField()))
  520. equipment_info_6 = EquipmentInfo6.objects.filter(**kwargs).annotate(tab_val=Value('16', output_field=CharField()))
  521. equipment_info_7 = EquipmentInfo7.objects.filter(**kwargs).annotate(tab_val=Value('17', output_field=CharField()))
  522. equipment_info_8 = EquipmentInfo8.objects.filter(**kwargs).annotate(tab_val=Value('18', output_field=CharField()))
  523. equipment_info_9 = EquipmentInfo9.objects.filter(**kwargs).annotate(tab_val=Value('19', output_field=CharField()))
  524. equipment_info_10 = EquipmentInfo10.objects.filter(**kwargs).annotate(tab_val=Value('20', output_field=CharField()))
  525. equipment_info_11 = EquipmentInfo11.objects.filter(**kwargs).annotate(tab_val=Value('11', output_field=CharField()))
  526. equipment_info_12 = EquipmentInfo12.objects.filter(**kwargs).annotate(tab_val=Value('22', output_field=CharField()))
  527. equipment_info_13 = EquipmentInfo13.objects.filter(**kwargs).annotate(tab_val=Value('23', output_field=CharField()))
  528. equipment_info_14 = EquipmentInfo14.objects.filter(**kwargs).annotate(tab_val=Value('24', output_field=CharField()))
  529. equipment_info_15 = EquipmentInfo15.objects.filter(**kwargs).annotate(tab_val=Value('25', output_field=CharField()))
  530. equipment_info_16 = EquipmentInfo16.objects.filter(**kwargs).annotate(tab_val=Value('26', output_field=CharField()))
  531. equipment_info_17 = EquipmentInfo17.objects.filter(**kwargs).annotate(tab_val=Value('27', output_field=CharField()))
  532. equipment_info_18 = EquipmentInfo18.objects.filter(**kwargs).annotate(tab_val=Value('28', output_field=CharField()))
  533. equipment_info_19 = EquipmentInfo19.objects.filter(**kwargs).annotate(tab_val=Value('29', output_field=CharField()))
  534. equipment_info_20 = EquipmentInfo20.objects.filter(**kwargs).annotate(tab_val=Value('30', output_field=CharField()))
  535. else:
  536. equipment_info_1 = EquipmentInfo1.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('11', output_field=CharField()))
  537. equipment_info_2 = EquipmentInfo2.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('12', output_field=CharField()))
  538. equipment_info_3 = EquipmentInfo3.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('13', output_field=CharField()))
  539. equipment_info_4 = EquipmentInfo4.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('14', output_field=CharField()))
  540. equipment_info_5 = EquipmentInfo5.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('15', output_field=CharField()))
  541. equipment_info_6 = EquipmentInfo6.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('16', output_field=CharField()))
  542. equipment_info_7 = EquipmentInfo7.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('17', output_field=CharField()))
  543. equipment_info_8 = EquipmentInfo8.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('18', output_field=CharField()))
  544. equipment_info_9 = EquipmentInfo9.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('19', output_field=CharField()))
  545. equipment_info_10 = EquipmentInfo10.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('20', output_field=CharField()))
  546. equipment_info_11 = EquipmentInfo11.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('11', output_field=CharField()))
  547. equipment_info_12 = EquipmentInfo12.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('22', output_field=CharField()))
  548. equipment_info_13 = EquipmentInfo13.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('23', output_field=CharField()))
  549. equipment_info_14 = EquipmentInfo14.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('24', output_field=CharField()))
  550. equipment_info_15 = EquipmentInfo15.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('25', output_field=CharField()))
  551. equipment_info_16 = EquipmentInfo16.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('26', output_field=CharField()))
  552. equipment_info_17 = EquipmentInfo17.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('27', output_field=CharField()))
  553. equipment_info_18 = EquipmentInfo18.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('28', output_field=CharField()))
  554. equipment_info_19 = EquipmentInfo19.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('29', output_field=CharField()))
  555. equipment_info_20 = EquipmentInfo20.objects.filter(Q(**kwargs) | Q(**event_type_kwargs)).annotate(tab_val=Value('30', output_field=CharField()))
  556. equipment_info_union = equipment_info_1.union(
  557. equipment_info_2, equipment_info_3, equipment_info_4, equipment_info_5, equipment_info_6, equipment_info_7,
  558. equipment_info_8, equipment_info_9, equipment_info_10,
  559. equipment_info_11, equipment_info_12, equipment_info_13, equipment_info_14, equipment_info_15,
  560. equipment_info_16, equipment_info_17, equipment_info_18, equipment_info_19, equipment_info_20)
  561. count = equipment_info_union.count()
  562. if count == 0:
  563. return None, 0
  564. equipment_info_union = cls.get_equipment_info_union_page(equipment_info_union, page, line)
  565. return equipment_info_union, count
  566. except Exception as e:
  567. print('error_line:{}, error_msg:{}'.format(e.__traceback__.tb_lineno, repr(e)))
  568. @staticmethod
  569. def get_equipment_info_union_page(equipment_info_union, page, line):
  570. """
  571. 获取查询结果集进行排序、分页,遍历重命名字典key(主要针对原函数返回结果集)
  572. @param equipment_info_union: 设备信息结果集
  573. @param page: 页数
  574. @param line: 分页大小
  575. @return: qs_page 遍历后的设备信息结果集
  576. """
  577. equipment_info_qs = equipment_info_union.values('id', 'device_uid', 'device_nick_name', 'channel', 'event_type',
  578. 'status', 'answer_status', 'alarm', 'event_time', 'is_st',
  579. 'add_time', 'storage_location', 'border_coords', 'tab_val',
  580. 'event_tag')
  581. equipment_info_qs = equipment_info_qs.order_by('-event_time')
  582. equipment_info_qs = equipment_info_qs[(page - 1) * line:page * line]
  583. for equipment_info in equipment_info_qs:
  584. # id: 表标识+id
  585. equipment_info['id'] = equipment_info['tab_val'] + str(equipment_info['id'])
  586. equipment_info['devUid'] = equipment_info['device_uid']
  587. equipment_info['devNickName'] = equipment_info['device_nick_name']
  588. equipment_info['Channel'] = equipment_info['channel']
  589. equipment_info['eventType'] = equipment_info['event_type']
  590. equipment_info['eventTime'] = equipment_info['event_time']
  591. equipment_info['receiveTime'] = equipment_info['event_time']
  592. equipment_info['addTime'] = equipment_info['add_time']
  593. equipment_info['borderCoords'] = equipment_info['border_coords']
  594. equipment_info['eventTag'] = equipment_info['event_tag']
  595. equipment_info.pop('device_uid')
  596. equipment_info.pop('device_nick_name')
  597. equipment_info.pop('channel')
  598. equipment_info.pop('event_type')
  599. equipment_info.pop('event_time')
  600. equipment_info.pop('add_time')
  601. equipment_info.pop('border_coords')
  602. equipment_info.pop('tab_val')
  603. equipment_info.pop('event_tag')
  604. return equipment_info_qs