report_push.py 40 KB

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  1. from mysql_db import MysqlDB
  2. import datetime
  3. from itertools import groupby
  4. from xlwt_util import XlwtUtil
  5. from file_util import FileUtil
  6. from email_util import EmailUtil
  7. class ReportPush(object):
  8. """
  9. 报表推送功能实现类
  10. """
  11. pass
  12. # 1:总浏览量
  13. #
  14. # 集团部分+项目部分!!!
  15. # ----项目PV--权限项目范围内,求和
  16. # 参数:时间区间 和 项目列表
  17. sql_1_1 = """
  18. SELECT SUM(pv) AS pv1 FROM a_idfa_behavior_sum
  19. WHERE report_d >= %s and report_d <= %s AND house_id IN %s
  20. """
  21. # ----集团PV--权限项目范围内,求和
  22. # 参数:数据区间和项目列表
  23. sql_1_2 = """
  24. SELECT SUM(pv) AS pav2 FROM a_behavior_brand_mini_day
  25. WHERE report_d >= %s and report_d <= %s AND house_id IN %s
  26. """
  27. # 2:总浏览人数
  28. #
  29. # 参数,数据区间, 项目列表
  30. sql_1_3 = """
  31. SELECT
  32. count(
  33. DISTINCT IFNULL(mobile, user_id)
  34. ) as people
  35. FROM
  36. (
  37. SELECT
  38. A.user_id,
  39. B.mobile
  40. FROM
  41. a_idfa_behavior_sum A
  42. LEFT JOIN d_user B ON A.user_id = B.user_id
  43. WHERE
  44. A.report_d >= %s and A.report_d <= %s
  45. AND A.house_id IN %s
  46. UNION
  47. SELECT
  48. A.brand_user_id AS user_id,
  49. B.mobile
  50. FROM
  51. a_behavior_brand_mini_day A
  52. LEFT JOIN a_brand_app_customer B ON A.brand_user_id = B.brand_customer_id
  53. WHERE
  54. A.report_d >= %s and A.report_d <= %s
  55. AND A.house_id IN %s
  56. ) t1
  57. """
  58. # 3:新增获客
  59. sql_1_4 = """
  60. SELECT
  61. count(
  62. DISTINCT IFNULL(mobile, user_id)
  63. )
  64. FROM
  65. (
  66. SELECT
  67. user_id,
  68. mobile,
  69. created
  70. FROM
  71. d_user
  72. WHERE
  73. created >= %s
  74. AND created <= %s
  75. AND house_id IN %s
  76. AND source ='3'
  77. UNION
  78. SELECT
  79. brand_customer_id AS user_id,
  80. mobile,
  81. rlat_created
  82. FROM
  83. a_brand_app_customer_house_rlat
  84. WHERE
  85. rlat_created >= %s
  86. AND rlat_created <= %s
  87. AND rlat_house_id IN %s
  88. AND cust_house_flag ='1'
  89. ) t1
  90. """
  91. # 4:新增获电
  92. sql_1_5 = """
  93. SELECT
  94. COUNT(DISTINCT mobile)
  95. FROM
  96. (
  97. SELECT
  98. user_id,
  99. mobile,
  100. wx_phone_time AS created
  101. FROM
  102. d_user
  103. WHERE
  104. wx_phone_time >= %s
  105. AND wx_phone_time <= %s
  106. AND house_id IN %s
  107. and source = '3'
  108. UNION
  109. SELECT
  110. brand_customer_id,
  111. mobile,
  112. houdian_time AS created
  113. FROM
  114. (
  115. SELECT
  116. *,
  117. CASE
  118. WHEN rlat_created > shouquan_time THEN
  119. rlat_created
  120. ELSE
  121. shouquan_time
  122. END AS houdian_time
  123. FROM
  124. a_brand_app_customer_house_rlat
  125. WHERE
  126. mobile IS NOT NULL
  127. AND rlat_house_id IN %s
  128. AND cust_house_flag = '1'
  129. ) t1
  130. WHERE
  131. houdian_time >= %s
  132. AND houdian_time <= %s
  133. ) t1
  134. """
  135. # 5:集团小程序总浏览量(针对香港置地要命名为【CNC小程序总浏览量】)
  136. # 集团部分
  137. # 6:集团小程序总浏览人数(针对香港置地要命名为【CNC小程序总浏览人数】)
  138. #
  139. # 集团小程序整体UV(见SQL3)
  140. sql_1_6 = """
  141. SELECT
  142. COUNT(DISTINCT brand_user_id) AS UV4
  143. FROM
  144. a_behavior_brand_mini_day
  145. WHERE
  146. report_d > %s
  147. AND report_d < %s
  148. AND house_id IN %s
  149. """
  150. # 7: 集团小程序新增获客(针对香港置地要命名为【CNC小程序新增获客】)
  151. #
  152. # 权限项目范围内,集团维度的获客
  153. # 8: 集团小程序新增获电(针对香港置地要命名为【CNC小程序新增获电】)
  154. #
  155. # 权限项目范围内,集团维度的获电
  156. # 9.单项目小程序总浏览量
  157. #
  158. # 项目部分
  159. #
  160. # 10.单项目小程序总浏览人数
  161. #
  162. # 权限项目未授权部分求和+去重的授权部分(见SQL2)
  163. #
  164. # 11.单项目小程序新增获客
  165. #
  166. # 权限项目未授权部分求和+去重的授权部分(见SQL7)
  167. #
  168. # 12.单项目小程序新增获电
  169. #
  170. # 权限项目所有授权手机号去重(见SQL8)
  171. # 1.默认值/001_大麦/项目排行榜/小程序排行榜TOP_N
  172. sql_2_1 = """
  173. SELECT
  174. a.house_id,
  175. a.house_name,
  176. ifnull(SUM(a.pv), 0),
  177. SUM(a.uv),
  178. SUM(a.new_cust_num),
  179. SUM(a.wx_num)
  180. from
  181. (
  182. SELECT
  183. a.*, b.house_name,
  184. c.interested_num,
  185. d.wx_num,
  186. e.new_cust_num
  187. FROM
  188. (
  189. SELECT
  190. house_id,
  191. count(
  192. DISTINCT ifnull(user_id, idfa)
  193. ) uv,
  194. sum(session_times) session_times,
  195. sum(sum_session_time) sum_session_time,
  196. sum(pv) pv,
  197. sum(page_num) page_num
  198. FROM
  199. a_idfa_behavior_sum
  200. WHERE
  201. report_d >= %s
  202. AND report_d <= %s
  203. GROUP BY
  204. house_id
  205. ) a
  206. JOIN d_house b ON a.house_id = b.house_id
  207. LEFT JOIN (
  208. SELECT
  209. house_id,
  210. count(DISTINCT customer_id) interested_num
  211. FROM
  212. f_interested_custlist
  213. WHERE
  214. report_d >= %s
  215. AND report_d <= %s
  216. GROUP BY
  217. house_id
  218. ) c ON a.house_id = c.house_id
  219. LEFT JOIN (
  220. SELECT
  221. house_id,
  222. count(DISTINCT mobile) wx_num
  223. FROM
  224. f_customer_dynamic
  225. WHERE
  226. dynamic IN (1, 2, 4)
  227. AND report_d >= %s
  228. AND report_d <= %s
  229. GROUP BY
  230. house_id
  231. ) d ON a.house_id = d.house_id
  232. LEFT JOIN (
  233. SELECT
  234. house_id,
  235. count(DISTINCT user_id) new_cust_num
  236. FROM
  237. d_user
  238. WHERE
  239. source IN (1, 2, 3, 4, 10)
  240. AND created >= %s
  241. AND created < DATE_ADD(
  242. %s, INTERVAL 1 DAY
  243. )
  244. GROUP BY
  245. house_id
  246. ) e ON a.house_id = e.house_id)
  247. a
  248. GROUP BY
  249. a.house_id,
  250. a.house_name
  251. order by a.pv desc
  252. """
  253. # 2.默认值/006_大麦(集团)/集团项目排行榜v1.3/集团排行榜
  254. sql_2_2 = """
  255. select
  256. x.brand_id,
  257. x.house_id,
  258. x.house_name,
  259. ifnull(x.pv, 0),
  260. x.uv,
  261. x.new_cust,
  262. x.shouquan_cust
  263. from (
  264. SELECT
  265. c.pv,
  266. c.uv,
  267. a.brand_id,
  268. a.house_id,
  269. a.house_name,
  270. a.brand_name,
  271. ifnull(b.house_layout_num, 0) house_layout_num,
  272. ifnull(d.launch_time, '--') launch_time,
  273. c.new_cust,
  274. c.shouquan_cust,
  275. c.revisit_cust
  276. FROM
  277. (
  278. SELECT
  279. brand_id,
  280. ifnull(house_id, '0') house_id,
  281. sum(pv) pv,
  282. count(DISTINCT brand_user_id) uv,
  283. count(
  284. DISTINCT CASE
  285. WHEN is_new_user = 1 THEN
  286. brand_user_id
  287. END
  288. ) new_cust,
  289. count(
  290. DISTINCT CASE
  291. WHEN is_shouquan_user = 1 THEN
  292. brand_user_id
  293. END
  294. ) shouquan_cust,
  295. count(
  296. DISTINCT CASE
  297. WHEN is_new_user = 0 THEN
  298. brand_user_id
  299. END
  300. ) revisit_cust
  301. FROM
  302. a_behavior_brand_mini_day
  303. WHERE
  304. report_d >= %s
  305. AND report_d <= %s
  306. GROUP BY
  307. brand_id,
  308. ifnull(house_id, '0')
  309. ) c
  310. LEFT JOIN (
  311. SELECT
  312. house_id,
  313. count(1) house_layout_num
  314. FROM
  315. d_content_layout
  316. WHERE
  317. `status` = '1'
  318. AND house_id <> 1
  319. GROUP BY
  320. house_id
  321. UNION ALL
  322. SELECT
  323. bb.brand_id house_id,
  324. count(1) house_layout_num
  325. FROM
  326. d_content_layout aa
  327. JOIN d_house bb ON aa.house_id = bb.house_id
  328. WHERE
  329. aa.`status` = '1'
  330. AND bb. STATUS = '1'
  331. AND aa.house_id <> 1
  332. GROUP BY
  333. bb.brand_id
  334. ) b ON c.house_id = b.house_id
  335. JOIN d_house a ON a.house_id = c.house_id
  336. AND a.brand_id = c.brand_id
  337. LEFT JOIN d_house_attr d ON c.house_id = d.house_id
  338. AND c.brand_id = d.brand_id ) x
  339. """
  340. # 默认值/001_大麦/场景_用户来源渠道/用户来源渠道—明细
  341. sql_3_1 = """
  342. SELECT
  343. house_id,
  344. house_name,
  345. label_wx,
  346. COUNT(a.id) as counts
  347. FROM
  348. d_user_attr a
  349. LEFT JOIN d_scene b ON a.scene = b. CODE
  350. WHERE
  351. a.source IN (1, 2, 3, 4, 10)
  352. AND a.report_d >= %s
  353. AND a.report_d <= %s
  354. GROUP BY
  355. house_id,
  356. house_name,
  357. label_wx
  358. """
  359. # 默认值/006_大麦(集团)/场景(集团)_用户来源渠道_v1.1/用户来源渠道—明细
  360. sql_3_2 = """
  361. select
  362. brand_id,
  363. x.brand_name,
  364. house_id,
  365. house_name,
  366. label_wx,
  367. COUNT(1)
  368. from
  369. (SELECT
  370. a.scene,
  371. a.brand_id,
  372. b.*, a.share_brand_customer_id,
  373. '2' adviser_agent,
  374. a.house_id house_id,
  375. c.house_name house_name,
  376. c.brand_name
  377. FROM
  378. (
  379. SELECT
  380. scene,
  381. brand_id,
  382. share_brand_customer_id,
  383. house_id
  384. FROM
  385. d_brand_app_customer
  386. WHERE
  387. created >= %s
  388. AND created < DATE_ADD(
  389. %s, INTERVAL 1 DAY
  390. )
  391. UNION ALL
  392. SELECT
  393. scene,
  394. brand_id,
  395. share_brand_customer_id,
  396. brand_id house_id
  397. FROM
  398. d_brand_app_customer
  399. WHERE
  400. created >= %s
  401. AND created < DATE_ADD(
  402. %s, INTERVAL 1 DAY
  403. )
  404. ) a
  405. LEFT JOIN d_scene b ON a.scene = b. CODE
  406. JOIN d_house c ON a.house_id = c.house_id
  407. AND a.brand_id = c.brand_id) x
  408. group by x.brand_id, x.brand_name, x.house_id, x.house_name, x.label_wx
  409. """
  410. # 根据任务id获取推送客户信息
  411. sql_4 = """
  412. select a.task_key, a.customer_id, b.customer_type, b.name, b.mail, GROUP_CONCAT(c.house_or_brand_id) as ids
  413. from report_task_info a left join report_push_customer_info b on b.id = a.customer_id
  414. left join report_customer_authority_info c on b.id = c.customer_id
  415. where a.task_key = %s and a.status = b.status = c.status = 1
  416. group by a.task_key, a.customer_id, b.customer_type, b.name, b.mail
  417. """
  418. # 根据集团id获取项目id
  419. sql_5 = """
  420. select house_id, house_name from d_house where brand_id = %s and house_id > 300
  421. """
  422. sql_5_1 = """
  423. select house_id from d_house where brand_id in %s
  424. """
  425. sql_6 = """insert into report_push_log(name, mail, report_name, push_time, send_status, status, error_message) values(%s, %s,
  426. %s, now(), %s, 1, %s) """
  427. # 根据项目id获取集团id和名称
  428. sql_7 = """
  429. select a.brand_id, a.brand_name from d_house a where a.house_id = %s
  430. """
  431. sql_8 = """
  432. select DISTINCT a.brand_id from d_house a where a.house_id in %s
  433. """
  434. def __init__(self, db_name):
  435. self.db = MysqlDB(db_name)
  436. pass
  437. mails = ['1285211525@qq.com', 'liutt@elab-plus.com', 'plf@centralchina.com']
  438. def report_push(self, task_key):
  439. message = {}
  440. try:
  441. report_data = self.report_data_query(task_key)
  442. message[1] = '数据查询成功:{}'.format(len(report_data))
  443. time_rang = self.get_time_range(task_key)
  444. xu = XlwtUtil()
  445. send_info = xu.create_excel(report_data, time_rang, task_key)
  446. message[2] = '报表文件生成成功'
  447. email_util = EmailUtil()
  448. title, content = self.get_title_content(task_key, time_rang)
  449. logs = []
  450. for value in send_info:
  451. log_data = []
  452. try:
  453. if value[2]:
  454. # for mail in self.mails:
  455. result = email_util.send_mail_by_admin(title, content, value[1], value[2], value[3])
  456. if result:
  457. log_data = [value[0], value[1], value[2], 1, 'success!!!']
  458. else:
  459. result = email_util.send_mail_by_admin(title, content, value[1], value[2], value[3])
  460. if not result:
  461. log_data = [value[0], value[1], value[2], -1, '第二次发送失败']
  462. except Exception as e:
  463. log_data = [value[0], value[1], value[2], -1, str(e)]
  464. print(str(e))
  465. logs.append(log_data)
  466. message[3] = '邮件发送成功'
  467. message['data'] = send_info
  468. self.db.add_some(self.sql_6, logs)
  469. self.db.close()
  470. FileUtil.remove_files(7, xu.save_path)
  471. except Exception as e:
  472. print(str(e))
  473. message['error'] = str(e)
  474. pass
  475. finally:
  476. return message
  477. def get_title_content(self, task_key, time_range):
  478. if task_key in (1, 4):
  479. return '移动案场订阅日报[{}]'.format(time_range[0]), '本期间内【{}】至【{}】的数据报告已经准备完成。请点击附件查阅。'.format(time_range[0], time_range[1])
  480. elif task_key in (2, 3):
  481. return '移动案场订阅周报[{}]至[{}]'.format(time_range[0], time_range[1]), '本期间内【{}】至【{}】的数据报告已经准备完成。请点击附件查阅.'.format(time_range[0], time_range[1])
  482. def report_data_query(self, task_key):
  483. """
  484. 定时任务推送数据准备
  485. :param task_key:
  486. :return:
  487. """
  488. result = {}
  489. try:
  490. # 根据任务key获取需要推送的客户以及可以的权限
  491. customers = self.db.select(self.sql_4, [task_key])
  492. # a.task_key, a.customer_id, b.customer_type, b.`name`, b.mail, GROUP_CONCAT(c.house_or_brand_id)
  493. time_range = self.get_time_range(task_key)
  494. all_time_rang = self.get_time_range(9999)
  495. # 有限时间范围内的数据
  496. xcx_top_data = self.xcx_top(time_range)
  497. brand_top_data = self.brand_top(time_range)
  498. customer_channel_details_data = self.customer_channel_details(time_range)
  499. brand_customer_channel_details = self.brand_customer_channel_details(time_range)
  500. # 所有历史数据
  501. xcx_top_data_all = self.xcx_top(all_time_rang)
  502. brand_top_data_all = self.brand_top(all_time_rang)
  503. for customer in customers:
  504. customer_data = {}
  505. name = customer[3]
  506. mail = customer[4]
  507. customer_type = customer[2]
  508. house_ids = []
  509. brand_id_list = []
  510. if customer_type == 1:
  511. # 项目
  512. ids = customer[5]
  513. if str(ids).find(',') != -1:
  514. house_ids = [x for x in str(ids).split(',')]
  515. else:
  516. house_ids = [ids]
  517. brand_id_list = self.get_brand_ids_by_house_ids(house_ids)
  518. pass
  519. elif customer_type == 2:
  520. # 集团
  521. brand_ids = customer[5]
  522. if str(brand_ids).find(',') != -1:
  523. brands = [x for x in str(brand_ids).split(',')]
  524. else:
  525. brands = [brand_ids]
  526. for id in brands:
  527. house_ids.extend([x[0] for x in self.get_house_ids_by_brand_id(id)])
  528. brand_id_list = brands
  529. result_data_1 = []
  530. result_data_2 = []
  531. result_data_3 = []
  532. result_data_4 = []
  533. result_data_5 = []
  534. result_data_7 = []
  535. result_data_8 = []
  536. all_house_ids = self.get_house_ids_by_brand_ids(brand_id_list)
  537. xcx_top_data_part = self.filter_by_house_ids(xcx_top_data, all_house_ids)
  538. brand_top_data_part = self.filter_by_brand_ids(brand_top_data, brand_id_list)
  539. xcx_top_data_all_part = self.filter_by_house_ids(xcx_top_data_all, all_house_ids)
  540. brand_top_data_all_part = self.filter_by_brand_ids(brand_top_data_all, brand_id_list)
  541. # 1 数据总览 12个统计指标
  542. data_overview = self.data_overview(time_range, house_ids, xcx_top_data_part, brand_top_data_part)
  543. result_data_1.extend(data_overview)
  544. # 4:单个项目小程序数据排行榜
  545. # 排名 项目名称 总浏览量 总浏览人数 新增获客 新增获电
  546. for index, x in enumerate(xcx_top_data_part):
  547. if x[0] in house_ids:
  548. result_data_4.append([index + 1, x[1], x[2], x[3], x[4], x[5]])
  549. # 5: 集团项目数据排行榜
  550. # 排名 项目名称 总浏览量 总浏览人数 新增获客 新增获电
  551. if customer_type == 2:
  552. for index, x2 in enumerate(brand_top_data_part):
  553. if x2[1] in house_ids or x2[0] in brand_id_list:
  554. result_data_5.append([index + 1, x2[2], x2[3], x2[4], x2[5], x2[6]])
  555. pass
  556. pass
  557. elif customer_type == 1:
  558. for index, x1 in enumerate(brand_top_data_part):
  559. if x1[1] in house_ids:
  560. result_data_5.append([index + 1, x1[2], x1[3], x1[4], x1[5], x1[6]])
  561. else:
  562. pass
  563. # 2: 项目数据排行榜
  564. # 排名 项目名称 总浏览量 总浏览人数 新增获客 新增获电
  565. house_with_brand_data = self.house_with_brand(xcx_top_data_part, brand_top_data_part)
  566. for x in house_with_brand_data:
  567. if x[2] in house_ids:
  568. x.pop(1)
  569. x.pop(1)
  570. result_data_2.append(x)
  571. # 3: 项目历史累计总数
  572. # 排名 项目名称 总浏览量 总浏览人数 新增获客 新增获电
  573. if customer_type == 2:
  574. all_data_history = self.house_with_brand(xcx_top_data_all_part, brand_top_data_all_part, brand_id_list)
  575. for x in all_data_history:
  576. if x[2] in house_ids:
  577. x.pop(1)
  578. x.pop(1)
  579. result_data_3.append(x)
  580. else:
  581. all_data_history = self.house_with_brand(xcx_top_data_all_part, brand_top_data_all_part)
  582. for x in all_data_history:
  583. if x[2] in house_ids:
  584. x.pop(1)
  585. x.pop(1)
  586. result_data_3.append(x)
  587. # 7: 单个项目小程序获客来源场景分析
  588. # 项目 合计 长按识别二维码 会话 公众号菜单 公众号文章 小程序历史列表 扫一扫二维码 搜索 相册选取二维码 其他小程序 其他
  589. for x in customer_channel_details_data:
  590. if x[0] in house_ids:
  591. result_data_7.append(x)
  592. # 8: 集团项目获客来源场景分析
  593. if customer_type == 2:
  594. for x in brand_customer_channel_details:
  595. if x[2] in house_ids or x[0] in brand_id_list:
  596. result_data_8.append(x)
  597. elif customer_type == 1:
  598. for x in brand_customer_channel_details:
  599. if x[2] in house_ids:
  600. result_data_8.append(x)
  601. # 6: 项目获客来源场景分析
  602. result_data_6 = self.house_with_brand_for_share(result_data_7, result_data_8)
  603. customer_data[1] = result_data_1
  604. result_data_2.sort(key=lambda obj: obj[0])
  605. customer_data[2] = result_data_2
  606. result_data_3.sort(key=lambda obj: obj[0])
  607. customer_data[3] = result_data_3
  608. result_data_4.sort(key=lambda obj: obj[0])
  609. customer_data[4] = result_data_4
  610. result_data_5.sort(key=lambda obj: obj[0])
  611. customer_data[5] = result_data_5
  612. self.sort(result_data_6, 1)
  613. customer_data[6] = result_data_6
  614. result_data_7_format = []
  615. for x in result_data_7:
  616. house_name = x[1]
  617. ele = [house_name]
  618. data = x[2:]
  619. total = sum(data)
  620. ele.append(total)
  621. ele.extend(data)
  622. result_data_7_format.append(ele)
  623. self.sort(result_data_7_format, 1)
  624. customer_data[7] = result_data_7_format
  625. result_data_8_format = []
  626. for x in result_data_8:
  627. ele = []
  628. house_name = x[3]
  629. data = x[4:]
  630. total = sum(data)
  631. ele.append(house_name)
  632. ele.append(total)
  633. ele.extend(data)
  634. result_data_8_format.append(ele)
  635. self.sort(result_data_8_format, 1)
  636. customer_data[8] = result_data_8_format
  637. customer_data[0] = mail
  638. result[name] = customer_data
  639. # return result
  640. except Exception as e:
  641. result['error'] = str(e)
  642. pass
  643. finally:
  644. return result
  645. def sort(self, data, idnex):
  646. data.sort(key=lambda obj: obj[idnex])
  647. data.reverse()
  648. def house_with_brand_for_share(self, house_data, brand_data):
  649. house_ids = []
  650. result = []
  651. for x in house_data:
  652. if x[0] not in [a[0] for a in house_ids]:
  653. house_ids.append([x[0], x[1]])
  654. for x in brand_data:
  655. if x[2] not in [a[0] for a in house_ids]:
  656. house_ids.append([x[2], x[3]])
  657. for id in house_ids:
  658. house_id = id[0]
  659. house_name = id[1]
  660. house_result = [house_name]
  661. equal_house = self.equal_by_house_id(house_data, house_id, 0)
  662. equal_brand = self.equal_by_house_id(brand_data, house_id, 2)
  663. house_result_part = []
  664. if equal_house and equal_brand:
  665. equal_house = equal_house[2:]
  666. equal_brand = equal_brand[4:]
  667. for i in range(0, 10):
  668. house_result_part.append(self.add(equal_house[i], equal_brand[i]))
  669. elif equal_house and not equal_brand:
  670. equal_house = equal_house[2:]
  671. for i in range(0, 10):
  672. house_result_part.append(equal_house[i])
  673. elif not equal_house and equal_brand:
  674. equal_brand = equal_brand[4:]
  675. for i in range(0, 10):
  676. house_result_part.append(equal_brand[i])
  677. house_result.append(sum(house_result_part))
  678. house_result.extend(house_result_part)
  679. result.append(house_result)
  680. result.sort(key=lambda obj: obj[1])
  681. result.reverse()
  682. return result
  683. def equal_by_house_id(self, data, house_id, index):
  684. for x in data:
  685. if x[index] == house_id:
  686. return x
  687. def filter_by_brand_ids(self, data, brand_ids):
  688. result = []
  689. for x in data:
  690. if x[0] in brand_ids:
  691. result.append(x)
  692. result.sort(key=lambda obj: obj[3])
  693. result.reverse()
  694. return result
  695. def filter_by_house_ids(self, data, house_ids):
  696. result = []
  697. for x in data:
  698. if x[0] in house_ids:
  699. result.append(x)
  700. result.sort(key=lambda obj: obj[2])
  701. result.reverse()
  702. return result
  703. def data_overview(self, time_range, house_ids, xcx_top_data, brand_top_data):
  704. """
  705. 统计数据总览
  706. :param time_range:
  707. :param house_ids:
  708. :return:
  709. """
  710. result = []
  711. # 1:总浏览量
  712. data_1_1 = self.db.select(self.sql_1_1, [time_range[0], time_range[1], house_ids])
  713. number_1_1 = data_1_1[0][0]
  714. data_1_2 = self.db.select(self.sql_1_2, [time_range[0], time_range[1], house_ids])
  715. number_1_2 = data_1_2[0][0]
  716. number_1 = self.add(number_1_1, number_1_2)
  717. result.append(number_1)
  718. # 2: 总浏览人数
  719. data_2 = self.db.select(self.sql_1_3, [time_range[0], time_range[1], house_ids, time_range[0], time_range[1], house_ids])
  720. number_2 = data_2[0][0]
  721. result.append(number_2)
  722. # 3:新增获客
  723. time_1 = time_range[0] + ' 00:00:00'
  724. time_2 = time_range[1] + ' 23:59:59'
  725. data_3 = self.db.select(self.sql_1_4, [time_1, time_2, house_ids, time_1, time_2, house_ids])
  726. number_3 = data_3[0][0]
  727. result.append(number_3)
  728. # 4:新增获电
  729. data_4 = self.db.select(self.sql_1_5, [time_1, time_2, house_ids, house_ids, time_1, time_2])
  730. number_4 = data_4[0][0]
  731. result.append(number_4)
  732. xcx_top_data_part = [x for x in xcx_top_data if x[0] in house_ids]
  733. brand_top_data_part = [x for x in brand_top_data if x[1] in house_ids]
  734. # 5 6 7 8
  735. number_5 = 0
  736. number_6 = 0
  737. number_7 = 0
  738. number_8 = 0
  739. for x in brand_top_data_part:
  740. number_5 = self.add(number_5, x[3])
  741. number_6 = self.add(number_6, x[4])
  742. number_7 = self.add(number_7, x[5])
  743. number_8 = self.add(number_8, x[6])
  744. result.append(number_5)
  745. result.append(number_6)
  746. result.append(number_7)
  747. result.append(number_8)
  748. # 9 10 11 12
  749. number_9 = 0
  750. number_10 = 0
  751. number_11 = 0
  752. number_12 = 0
  753. for x in xcx_top_data_part:
  754. number_9 = self.add(number_9, x[2])
  755. number_10 = self.add(number_10, x[3])
  756. number_11 = self.add(number_11, x[4])
  757. number_12 = self.add(number_12, x[5])
  758. result.append(number_9)
  759. result.append(number_10)
  760. result.append(number_11)
  761. result.append(number_12)
  762. return result
  763. def house_with_brand(self, xcx_top_data, brand_top_data, brands=None):
  764. """
  765. 项目数据和集团数据的求和
  766. :param brands:
  767. :param xcx_top_data:
  768. :param brand_top_data:
  769. :return:
  770. """
  771. result = []
  772. house_ids = []
  773. for x in xcx_top_data:
  774. if x[0] not in house_ids:
  775. house_ids.append(x[0])
  776. for x in brand_top_data:
  777. if x[1] not in house_ids and x[1] is not None and int(x[1]) > 300:
  778. house_ids.append(x[1])
  779. for house_id in house_ids:
  780. a = []
  781. a_order = 0
  782. for index, x in enumerate(xcx_top_data):
  783. if str(house_id) == str(x[0]):
  784. a.extend(x)
  785. a_order = index + 1
  786. b = []
  787. b_order = 0
  788. for index, y in enumerate(brand_top_data):
  789. if str(house_id) == str(y[1]):
  790. b.extend(y)
  791. b_order = index + 1
  792. order = b_order if b_order > 0 else a_order
  793. if len(a) > 0 and len(b) > 0:
  794. result.append([order, b[0], a[0], a[1], self.add(a[2], b[3]), self.add(a[3], b[4]), self.add(a[4], b[5]), self.add(a[5], b[6])])
  795. elif len(a) > 0 and len(b) == 0:
  796. _a = [order, 1]
  797. for x in a:
  798. _a.append(x)
  799. result.append(_a)
  800. elif len(a) == 0 and len(b) > 0:
  801. _b = [order]
  802. _b.extend(b)
  803. result.append(_b)
  804. else:
  805. pass
  806. if brands:
  807. for index, x in enumerate(brand_top_data):
  808. if x[0] in brands and x[1] is not None and int(x[1]) == 0:
  809. _x = [index + 1]
  810. _x.extend(x)
  811. result.append(_x)
  812. result.sort(key=lambda obj: obj[3])
  813. result.reverse()
  814. return result
  815. def add(self, a=None, b=None):
  816. if a and b:
  817. return a + b
  818. elif a and not b:
  819. return a
  820. elif b and not a:
  821. return b
  822. return 0
  823. def xcx_top(self, time_range):
  824. """
  825. 获取 1.默认值/001_大麦/项目排行榜/小程序排行榜TOP_N
  826. :return:
  827. """
  828. params = []
  829. params.extend(time_range)
  830. params.extend(time_range)
  831. params.extend(time_range)
  832. params.extend(time_range)
  833. xcx_top_data = self.db.select(self.sql_2_1, params)
  834. result = []
  835. for x in xcx_top_data:
  836. result.append([n for n in x])
  837. # xcx_top_data的结果结构
  838. # 0 a.house_id, 项目id
  839. # 1 a.house_name, 项目名称
  840. # 2 SUM(a.pv), 浏览总量
  841. # 3 SUM(a.uv), 浏览人数
  842. # 4 SUM(a.new_cust_num), 新增获客
  843. # 5 SUM(a.wx_num) 授权手机号
  844. result.sort(key=lambda obj: obj[2])
  845. result.reverse()
  846. return result
  847. def brand_top(self, time_range):
  848. """
  849. 2.默认值/006_大麦(集团)/集团项目排行榜v1.3/集团排行榜
  850. :param task_key:
  851. :return:
  852. """
  853. params = [time_range[0], time_range[1]]
  854. brand_top_data = self.db.select(self.sql_2_2, params)
  855. result = []
  856. for x in brand_top_data:
  857. result.append([n for n in x])
  858. # brand_top_data结果的结构
  859. # 0 a.brand_id, 集团id
  860. # 1 a.house_id, 项目id
  861. # 2 a.house_name, 项目名称
  862. # 3 SUM(a.pv), 浏览总量
  863. # 4 SUM(a.uv), 浏览人数
  864. # 5 SUM(a.new_cust), 新增获客
  865. # 6 SUM(a.shouquan_cust) 授权手机号
  866. result.sort(key=lambda obj: obj[3])
  867. result.reverse()
  868. return result
  869. """
  870. 数据分享类别
  871. 1:长按识别二维码 2:会话 3:公众号菜单 4:公众号文章 5:小程序历史列表 6:扫一扫二维码
  872. 7:搜索 8:相册选取二维码 9:其他小程序 10:其他
  873. """
  874. share_way = {
  875. "长按识别二维码": 1,
  876. "会话": 2,
  877. "公众号菜单": 3,
  878. '公众号文章': 4,
  879. '小程序历史列表': 5,
  880. '扫一扫二维码': 6,
  881. '搜索': 7,
  882. '相册选取二维码': 8,
  883. '其他小程序': 9,
  884. '其他': 10
  885. }
  886. def customer_channel_details(self, time_range):
  887. """
  888. 1.默认值/001_大麦/场景_用户来源渠道/用户来源渠道—明细
  889. :param task_key:
  890. :return:
  891. """
  892. params = []
  893. params.extend(time_range)
  894. customer_channel_details_data = self.db.select(self.sql_3_1, params)
  895. result = []
  896. for x in customer_channel_details_data:
  897. ele = []
  898. order = self.share_way.get(x[2])
  899. if order:
  900. ele.append(x[0])
  901. ele.append(x[1])
  902. ele.append(order)
  903. ele.append(x[3])
  904. result.append(ele)
  905. result.sort(key=lambda obj: obj[0])
  906. end_data = []
  907. for key, data in groupby(result, key=lambda obj: obj[0]):
  908. others_data = []
  909. for ot in data:
  910. others_data.append([x for x in ot])
  911. lable_data = []
  912. if len(others_data) > 0:
  913. lable_data.append(others_data[0][0])
  914. lable_data.append(others_data[0][1])
  915. for i in range(1, 11):
  916. number = 0
  917. for od in others_data:
  918. if i == od[2]:
  919. number = od[3]
  920. else:
  921. pass
  922. lable_data.append(number)
  923. pass
  924. end_data.append(lable_data)
  925. # customer_channel_details_data数据结构
  926. # house_id, 项目id
  927. # house_name, 项目名称
  928. # label_wx, 分享类别
  929. # COUNT(a.id) as counts, 数量
  930. return end_data
  931. def brand_customer_channel_details(self, time_range):
  932. """
  933. 2.默认值/006_大麦(集团)/场景(集团)_用户来源渠道_v1.1/用户来源渠道—明细
  934. :param frequency:
  935. :return:
  936. """
  937. params = [time_range[0], time_range[1], time_range[0], time_range[1]]
  938. brand_customer_channel_details_data = self.db.select(self.sql_3_2, params)
  939. # brand_customer_channel_details_data数据结构
  940. # 0 brand_id, 集团id
  941. # 1 x.brand_name, 集团名称
  942. # 2 house_id, 项目id
  943. # 3 house_name, 项目名称
  944. # 4 label_wx, 分享类别
  945. # 5 COUNT(1) 数量
  946. result = []
  947. for x in brand_customer_channel_details_data:
  948. ele = []
  949. order = self.share_way.get(x[4])
  950. if order:
  951. ele.append(x[0])
  952. ele.append(x[1])
  953. ele.append(x[2])
  954. ele.append(x[3])
  955. ele.append(order)
  956. ele.append(x[5])
  957. result.append(ele)
  958. result.sort(key=lambda obj: obj[2])
  959. end_data = []
  960. for key, data in groupby(result, key=lambda obj: obj[2]):
  961. others_data = []
  962. for ot in data:
  963. others_data.append([x for x in ot])
  964. lable_data = []
  965. if len(others_data) > 0:
  966. lable_data.extend(others_data[0][0: 4])
  967. for i in range(1, 11):
  968. number = 0
  969. for od in others_data:
  970. if i == od[4]:
  971. number = od[5]
  972. else:
  973. pass
  974. lable_data.append(number)
  975. pass
  976. end_data.append(lable_data)
  977. return end_data
  978. def push_log_recording(self, push_message):
  979. """
  980. 报表推送日志记录
  981. :param push_message:
  982. :return:
  983. """
  984. self.db.add_some(self.sql_6, push_message)
  985. def get_house_ids_by_brand_id(self, brand_id):
  986. return self.db.select(self.sql_5, [brand_id])
  987. def get_brand_info_by_house_id(self, house_id):
  988. """
  989. 根据项目id或者相应的集团信息
  990. :param house_id:
  991. :return:
  992. """
  993. brand_info = self.db.select(self.sql_7, [house_id])
  994. if len(brand_info) == 1:
  995. return brand_info[0][0]
  996. return
  997. def get_brand_ids_by_house_ids(self, house_ids):
  998. brand_ids = self.db.select(self.sql_8, [house_ids])
  999. ids = []
  1000. for x in brand_ids:
  1001. if x and x[0]:
  1002. ids.append(x[0])
  1003. return ids
  1004. def get_house_ids_by_brand_ids(self, brand_ids):
  1005. result = []
  1006. ids = self.db.select(self.sql_5_1, [brand_ids])
  1007. for x in ids:
  1008. if x[0] not in result:
  1009. result.append(x[0])
  1010. return result
  1011. def get_time_range(self, task_key):
  1012. """
  1013. 根据定时任务id获取时间区间
  1014. 时间格式 yyyy-mm-dd
  1015. :param task_key:1: 日报,2:周报, 3:all
  1016. :return:
  1017. """
  1018. now_time = datetime.datetime.now()
  1019. pre_time = None
  1020. if task_key in (2, 3):
  1021. # 上周,上周一到上周天
  1022. pre_time = now_time + datetime.timedelta(days=-7)
  1023. now_time = now_time + datetime.timedelta(days=-1)
  1024. pass
  1025. elif task_key in (1, 4):
  1026. # 昨天
  1027. pre_time = now_time + datetime.timedelta(days=-1)
  1028. now_time = now_time + datetime.timedelta(days=-1)
  1029. pass
  1030. elif task_key in (9999, 9999):
  1031. # 不限时间
  1032. pre_time = now_time + datetime.timedelta(days=-2999)
  1033. return [pre_time.strftime('%Y-%m-%d'), now_time.strftime('%Y-%m-%d')]
  1034. if __name__ == '__main__':
  1035. rp = ReportPush('linshi')
  1036. times = rp.get_time_range(1)