app.py 18 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436
  1. import random
  2. import os
  3. import logging
  4. import json
  5. import time
  6. import traceback
  7. import ast
  8. from gevent import monkey
  9. monkey.patch_all()
  10. from flask import Flask, request
  11. from log import Log
  12. from config import set_config
  13. from recommend import video_homepage_recommend, video_relevant_recommend
  14. from category import get_category_videos
  15. from video_recall import PoolRecall
  16. from db_helper import RedisHelper
  17. from gevent.pywsgi import WSGIServer
  18. from multiprocessing import cpu_count, Process
  19. from utils import update_video_w_h_rate
  20. from user2new import user2new
  21. from params_helper import Params
  22. from manager_op import get_video_list, search_video
  23. from ad_recommend import ad_recommend_predict
  24. # from werkzeug.middleware.profiler import ProfilerMiddleware
  25. # from geventwebsocket.handler import WebSocketHandler
  26. app = Flask(__name__)
  27. log_ = Log()
  28. config_ = set_config()
  29. @app.route('/healthcheck')
  30. def health_check():
  31. return 'ok!'
  32. # 首页推荐及tab分类
  33. @app.route('/applet/video/homepage/recommend', methods=['GET', 'POST'])
  34. def homepage_recommend():
  35. start_time = time.time()
  36. # in_homepage = start_time * 1000 + random.randint(0, 100)
  37. # log_.info({'type': 'homepage', 'in_homepage': in_homepage})
  38. try:
  39. # log_.info({'request_headers': request.headers})
  40. request_data = json.loads(request.get_data())
  41. request_id = request_data.get('requestId')
  42. mid = request_data.get('mid')
  43. uid = request_data.get('uid')
  44. category_id = request_data.get('categoryId')
  45. size = request_data.get('size', 4)
  46. app_type = request_data.get('appType')
  47. algo_type = request_data.get('algoType')
  48. client_info = request_data.get('clientInfo')
  49. ab_exp_info = request_data.get('abExpInfo', None)
  50. ab_info_data = request_data.get('abInfoData', None)
  51. version_audit_status = request_data.get('versionAuditStatus', 2) # 小程序版本审核参数:1-审核中,2-审核通过,默认:2
  52. machineinfoBrand = request_data.get('machineinfoBrand', '')
  53. machineinfoModel = request_data.get('machineinfoModel', '')
  54. machineinfoPlatform = request_data.get('machineinfoPlatform', '')
  55. pagesource = request_data.get('pageSource', '')
  56. versioncode = request_data.get('versionCode', 0)
  57. recommendsource = request_data.get('recommendSource', '0')
  58. sencetype = request_data.get('senceType', 0)
  59. env_dict = {}
  60. env_dict['app_type'] = app_type
  61. env_dict['pagesource'] = pagesource
  62. env_dict['versioncode'] = versioncode
  63. env_dict['machineinfo_brand'] = machineinfoBrand
  64. env_dict['machineinfo_model'] = machineinfoModel
  65. env_dict['machineinfo_platform'] = machineinfoPlatform
  66. env_dict['recommendsource'] = recommendsource
  67. env_dict['sencetype'] = sencetype
  68. params = Params(request_id=request_id)
  69. # size默认为10
  70. if not size:
  71. size = 10
  72. if category_id in config_.CATEGORY['recommend']:
  73. # 推荐
  74. recommend_result = video_homepage_recommend(
  75. request_id=request_id,
  76. mid=mid,
  77. uid=uid,
  78. size=size,
  79. app_type=app_type,
  80. algo_type=algo_type,
  81. client_info=client_info,
  82. ab_exp_info=ab_exp_info,
  83. params=params,
  84. ab_info_data=ab_info_data,
  85. version_audit_status=version_audit_status,
  86. env_dict = env_dict
  87. )
  88. result = {'code': 200, 'message': 'success', 'data': {'videos': recommend_result['videos']}}
  89. log_message = {
  90. 'requestUri': '/applet/video/homepage/recommend',
  91. 'logTimestamp': int(time.time() * 1000),
  92. 'request_id': request_id,
  93. 'app_type': app_type,
  94. 'client_info': client_info,
  95. 'ab_exp_info': ab_exp_info,
  96. 'ab_info_data': ab_info_data,
  97. 'version_audit_status': version_audit_status,
  98. 'category_id': category_id,
  99. 'mid': mid,
  100. 'uid': uid,
  101. 'getRecommendParamsTime': recommend_result.get('getRecommendParamsTime', ''),
  102. 'getRecommendResultTime': recommend_result.get('getRecommendResultTime', ''),
  103. 'updateRedisDataTime': recommend_result.get('updateRedisDataTime', ''),
  104. 'recommendOperation': recommend_result.get('recommendOperation', ''),
  105. 'result': result,
  106. 'executeTime': (time.time() - start_time) * 1000
  107. }
  108. log_.info(log_message)
  109. # log_.info('category_id: {}, mid: {}, uid: {}, result: {}, execute time = {}ms'.format(
  110. # category_id, mid, uid, result, (time.time() - start_time)*1000))
  111. return json.dumps(result)
  112. elif category_id in config_.CATEGORY['other']:
  113. # 其他类别
  114. videos = get_category_videos()
  115. result = {'code': 200, 'message': 'success', 'data': {'videos': videos}}
  116. log_.info('category_id: {}, mid: {}, uid: {}, result: {}, execute time = {}ms'.format(
  117. category_id, mid, uid, result, (time.time() - start_time) * 1000))
  118. return json.dumps(result)
  119. else:
  120. log_.error('categoryId error, categoryId = {}'.format(category_id))
  121. result = {'code': -1, 'message': 'categoryId error'}
  122. return json.dumps(result)
  123. except Exception as e:
  124. log_.error(traceback.format_exc())
  125. result = {'code': -1, 'message': 'fail'}
  126. return json.dumps(result)
  127. # 相关推荐
  128. @app.route('/applet/video/relevant/recommend', methods=['GET', 'POST'])
  129. def relevant_recommend():
  130. start_time = time.time()
  131. # in_relevant = start_time * 1000 + random.randint(0, 100)
  132. # log_.info({"type": "relevant", "in_relevant": in_relevant})
  133. try:
  134. request_data = json.loads(request.get_data())
  135. request_id = request_data.get('requestId')
  136. # log_.info({
  137. # 'logTimestamp': int(time.time() * 1000),
  138. # 'request_id': request_id,
  139. # 'in_relevant': in_relevant,
  140. # 'type': "relevant_recommend",
  141. # 'text': 'in relevant_recommend',
  142. # 'executeTime': (time.time() - start_time) * 1000
  143. # })
  144. mid = request_data.get('mid')
  145. uid = request_data.get('uid')
  146. video_id = request_data.get('videoId')
  147. # up_uid = request_data.get('upUid')
  148. # share_mid = request_data.get('shareMid')
  149. # share_uid = request_data.get('shareUid')
  150. # page_num = request_data.get('pageNum', 1)
  151. page_size = request_data.get('pageSize', 4)
  152. app_type = request_data.get('appType')
  153. client_info = request_data.get('clientInfo')
  154. ab_exp_info = request_data.get('abExpInfo', None)
  155. page_type = request_data.get('pageType') # 1:详情页;2:分享页
  156. ab_info_data = request_data.get('abInfoData', None)
  157. version_audit_status = request_data.get('versionAuditStatus', 2) # 小程序版本审核参数:1-审核中,2-审核通过,默认:2
  158. machineinfoBrand = request_data.get('machineinfoBrand', '')
  159. machineinfoModel = request_data.get('machineinfoModel', '')
  160. machineinfoPlatform = request_data.get('machineinfoPlatform', '')
  161. pagesource = request_data.get('pageSource', '')
  162. versioncode = request_data.get('versionCode', 0)
  163. recommendsource = request_data.get('recommendSource', '0')
  164. sencetype = request_data.get('senceType', 0)
  165. env_dict = {}
  166. env_dict['app_type'] = app_type
  167. env_dict['pagesource'] = pagesource
  168. env_dict['versioncode'] = versioncode
  169. env_dict['machineinfo_brand'] = machineinfoBrand
  170. env_dict['machineinfo_model'] = machineinfoModel
  171. env_dict['machineinfo_platform'] = machineinfoPlatform
  172. env_dict['recommendsource'] = recommendsource
  173. env_dict['sencetype'] = sencetype
  174. params = Params(request_id=request_id)
  175. recommend_result = video_relevant_recommend(
  176. request_id=request_id,
  177. video_id=video_id,
  178. mid=mid,
  179. uid=uid,
  180. size=page_size,
  181. app_type=app_type,
  182. ab_exp_info=ab_exp_info,
  183. client_info=client_info,
  184. page_type=page_type,
  185. params=params,
  186. ab_info_data=ab_info_data,
  187. version_audit_status=version_audit_status,
  188. env_dict = env_dict
  189. )
  190. result = {'code': 200, 'message': 'success', 'data': {'videos': recommend_result['videos']}}
  191. log_message = {
  192. 'requestUri': '/applet/video/relevant/recommend',
  193. 'logTimestamp': int(time.time() * 1000),
  194. 'request_id': request_id,
  195. 'app_type': app_type,
  196. 'client_info': client_info,
  197. 'ab_exp_info': ab_exp_info,
  198. 'ab_info_data': ab_info_data,
  199. 'version_audit_status': version_audit_status,
  200. 'mid': mid,
  201. 'uid': uid,
  202. 'getRecommendParamsTime': recommend_result.get('getRecommendParamsTime', ''),
  203. 'getRecommendResultTime': recommend_result.get('getRecommendResultTime', ''),
  204. 'updateRedisDataTime': recommend_result.get('updateRedisDataTime', ''),
  205. 'recommendOperation': recommend_result.get('recommendOperation', ''),
  206. 'result': result,
  207. 'executeTime': (time.time() - start_time) * 1000
  208. }
  209. log_.info(log_message)
  210. # log_.info('app_type: {}, mid: {}, uid: {}, relevant-result: {}, execute time = {}ms'.format(
  211. # app_type, mid, uid, result, (time.time() - start_time) * 1000))
  212. return json.dumps(result)
  213. except Exception as e:
  214. log_.error(traceback.format_exc())
  215. result = {'code': -1, 'message': 'fail'}
  216. return json.dumps(result)
  217. # 管理后台实时修改rov
  218. @app.route('/applet/video/update/rov', methods=['GET', 'POST'])
  219. def update_rov():
  220. try:
  221. # log_.info({'requestUri': '/applet/video/update/rov', 'request_initial': request.get_data()})
  222. request_data = json.loads(request.get_data())
  223. log_.info({'requestUri': '/applet/video/update/rov',
  224. 'logTimestamp': int(time.time() * 1000),
  225. 'requestData': request_data})
  226. # log_.info('update_rov request data: {}'.format(request_data))
  227. # app_type = request_data.get('appType')
  228. video_id = request_data.get('videoId')
  229. rov_score = request_data.get('rovScore')
  230. redis_helper = RedisHelper()
  231. # 将修改ROV值视频的 videoId 和 rovScore 存入对应的redis中
  232. redis_helper.update_score_with_value(key_name=config_.UPDATE_ROV_KEY_NAME, value=video_id, score=rov_score)
  233. redis_helper.update_score_with_value(key_name=config_.UPDATE_ROV_KEY_NAME_APP, value=video_id, score=rov_score)
  234. # ###### 下线 横屏实验
  235. # # 判断该视频是否为 横屏视频,如果是则 存入rov召回池横屏视频 redis 中
  236. # update_video_w_h_rate(video_id=int(video_id), key_name=config_.W_H_RATE_UP_1_VIDEO_LIST_KEY_NAME['rov_recall'])
  237. result = {'code': 200, 'message': 'update rov success'}
  238. log_.info({'requestUri': '/applet/video/update/rov', 'logTimestamp': int(time.time() * 1000), 'result': result})
  239. # log_.info('result: {}'.format(result))
  240. return json.dumps(result)
  241. except Exception as e:
  242. log_.error(traceback.format_exc())
  243. result = {'code': -1, 'message': 'update rov fail'}
  244. return json.dumps(result)
  245. # 管理后台指定用户恢复成新用户
  246. @app.route('/applet/user/to_new', methods=['GET', 'POST'])
  247. def user_to_new():
  248. try:
  249. request_data = json.loads(request.get_data())
  250. log_.info({'requestUri': '/applet/user/to_new', 'requestData': request_data})
  251. app_type = request_data.get('appType', None)
  252. mid = request_data.get('mid')
  253. uid = request_data.get('uid')
  254. user2new(app_type=app_type, mid=mid, uid=uid)
  255. result = {'code': 200, 'message': 'success'}
  256. log_.info({'requestUri': '/applet/user/to_new', 'result': result})
  257. return json.dumps(result)
  258. except Exception as e:
  259. log_.error(traceback.format_exc())
  260. result = {'code': -1, 'message': 'fail'}
  261. return json.dumps(result)
  262. # 管理后台算法视频列表可视化 - 视频数据表类型获取
  263. @app.route('/applet/video/get_video_type_list', methods=['GET', 'POST'])
  264. def get_video_type_list():
  265. try:
  266. data = [
  267. {'dataListDesc': val.get('dataListDesc'), 'dataListCode': val.get('dataListCode')}
  268. for key, val in config_.VIDEO_DATA_LIST_MAPPING.items()
  269. ]
  270. data.sort(key=lambda x: x['dataListCode'], reverse=False)
  271. result = {'code': 200, 'message': 'success', 'data': data}
  272. return json.dumps(result)
  273. except Exception as e:
  274. log_.error(traceback.format_exc())
  275. result = {'code': -1, 'message': 'fail'}
  276. return json.dumps(result)
  277. # 管理后台算法视频列表可视化 - 获取视频列表
  278. @app.route('/applet/video/get_online_list', methods=['GET', 'POST'])
  279. def get_video_online_list():
  280. try:
  281. request_data = json.loads(request.get_data())
  282. ab_exp_code = request_data.get('abExpCode', None)
  283. search_time = request_data.get('searchTime', None)
  284. data_list_type = request_data.get('dataListType', None)
  285. region_code = request_data.get('regionCode', None)
  286. video_id = request_data.get('videoId', None)
  287. page_num = request_data.get('pageNum', 1)
  288. page_size = request_data.get('pageSize', 100)
  289. if video_id is None:
  290. result = get_video_list(ab_exp_code=ab_exp_code, search_time=search_time, data_list_type=data_list_type,
  291. region_code=region_code, page_num=page_num, page_size=page_size)
  292. else:
  293. result = search_video(ab_exp_code=ab_exp_code, search_time=search_time, data_list_type=data_list_type,
  294. region_code=region_code, video_id=video_id, page_num=page_num, page_size=page_size)
  295. return json.dumps(result)
  296. except Exception as e:
  297. log_.error(traceback.format_exc())
  298. result = {'code': -1, 'message': 'fail'}
  299. return json.dumps(result)
  300. # 广告推荐
  301. @app.route('/applet/ad/predict', methods=['GET', 'POST'])
  302. def ad_predict():
  303. start_time = time.time()
  304. try:
  305. request_data = json.loads(request.get_data())
  306. mid = request_data.get('mid')
  307. video_id = request_data.get('videoId')
  308. app_type = request_data.get('appType')
  309. ab_exp_info = request_data.get('abExpInfo')
  310. ab_test_code = request_data.get('abTestCode')
  311. care_model_status = request_data.get('careModelStatus', 1) # 用户关怀模式状态 1: 未开启,2: 开启, 默认: 1
  312. predict_result = ad_recommend_predict(app_type=app_type,
  313. mid=mid,
  314. video_id=video_id,
  315. ab_exp_info=ab_exp_info,
  316. ab_test_code=ab_test_code,
  317. care_model_status=care_model_status)
  318. if predict_result is None:
  319. result = {'code': -1, 'message': 'fail'}
  320. else:
  321. result = {'code': 200, 'message': 'success', 'data': predict_result.get('ad_predict')}
  322. log_message = {
  323. 'requestUri': '/applet/ad/predict',
  324. 'request_data': request_data,
  325. 'logTimestamp': int(time.time() * 1000),
  326. 'app_type': app_type,
  327. 'mid': mid,
  328. 'video_id': video_id,
  329. 'predict_result': predict_result,
  330. 'result': result,
  331. 'executeTime': (time.time() - start_time) * 1000
  332. }
  333. log_.info(log_message)
  334. return json.dumps(result)
  335. except Exception as e:
  336. log_.error(traceback.format_exc())
  337. result = {'code': -1, 'message': 'fail'}
  338. return json.dumps(result)
  339. # app热榜
  340. @app.route('/app/video/hot_list', methods=['GET', 'POST'])
  341. def app_video_hot_list():
  342. try:
  343. page_size = 10
  344. request_data = request.get_data()
  345. request_data = json.loads(request_data)
  346. page = request_data.get('page', 0)
  347. log_.info({'requestUri': '/app/video/hot_lis', 'requestData': request_data})
  348. # log_.info('app_video_hot_list request data: {}'.format(request_data))
  349. redis_helper = RedisHelper()
  350. datas = redis_helper.get_data_from_redis('app_video_hot_list')
  351. if datas is None or len(datas) == 0:
  352. result = {'code': -1, 'message': 'no data'}
  353. log_.info({'requestUri': '/app/video/hot_lis', 'result': result})
  354. # log_.info('result: {}'.format(result))
  355. return json.dumps(result)
  356. datas = ast.literal_eval(datas)
  357. total_page = int(len(datas)/page_size)
  358. if len(datas)%page_size > 0:
  359. total_page += 1
  360. if page > total_page -1 :
  361. result = {'code': -1, 'message': 'page exceed max'}
  362. log_.info({'requestUri': '/app/video/hot_lis', 'result': result})
  363. # log_.info('result: {}'.format(result))
  364. return json.dumps(result)
  365. result = {'code': 200, 'message': '', 'data': {'total_page': total_page,
  366. 'hot_list': datas[page*page_size:page*page_size+page_size]}}
  367. log_.info({'requestUri': '/app/video/hot_lis', 'result': result})
  368. # log_.info('result: {}'.format(result))
  369. return json.dumps(result)
  370. except Exception as e:
  371. log_.error(e)
  372. # print(traceback.format_exc())
  373. result = {'code': -1, 'message': 'fail'}
  374. return json.dumps(result)
  375. def serve_forever(ip='0.0.0.0', port=5001):
  376. pywsgi.WSGIServer((ip, port), app).serve_forever()
  377. def apprun(MULTI_PROCESS=True, ip='0.0.0.0', port=5001):
  378. if MULTI_PROCESS == False:
  379. WSGIServer((ip, port), app).serve_forever()
  380. else:
  381. # mulserver = WSGIServer((ip, port), app, handler_class=WebSocketHandler)
  382. mulserver = WSGIServer((ip, port), app)
  383. mulserver.start()
  384. def server_forever():
  385. mulserver.start_accepting()
  386. mulserver._stop_event.wait()
  387. #for i in range(cpu_count()):
  388. for i in range(20):
  389. p = Process(target=server_forever)
  390. p.start()
  391. if __name__ == '__main__':
  392. app.run()
  393. #server = pywsgi.WSGIServer(('0.0.0.0', 5000), app)
  394. #server.serve_forever()
  395. # apprun()