def get_item_list_by_user(user_info, resource_type, count): """ get item list by user from offline recommendation @return RecommendItemContainer """ logger.debug("begin get_item_list_by_user") uid = user_info.uid result = RecommendItemContainer() errCode, kv_dict = model.get_offline_user_recommend_item_list(uid, [resource_type]) if not is_valid_data(errCode, kv_dict, "offline_user_recommend_item_list", {"uid":uid, "resource_type":resource_type}): return result if not kv_dict: return result try: assert(resource_type in kv_dict) reason2itemidlist = FeatureNameItemIdList() reason2itemidlist.ParseFromString(kv_dict[resource_type]) for reason2itemid in reason2itemidlist.feature_name_item_id_list: if result.size() >= count: logger.debug("break for enough result") break reason = reason2itemid.feature_name item_id_list = ItemIdList() for i in reason2itemid.item_id: item_id_list.item_id.append(i) filter_and_compose_recommend_item_list(user_info, reason, item_id_list, result) except: logger.error("bad ItemIdList from get_offline_user_recommend_item_list:%s" % traceback.format_exc()) return result
def new_user_recommend(user_info, count): """ request recommend for new user which has no favor action(点击、收藏等) @return (True|False, RecommendItemContainer) """ logger.debug("begin new_user_recommend") uid = user_info.uid need_global_features = False result = RecommendItemContainer() if not user_info.user_feature_info: for resource_type in ResourceType.RESOURCE_TYPE_LIST: (errCode, user_feature_list) = get_user_feature_list(uid, resource_type) if errCode: if len(user_feature_list.feature): user_info.user_feature_info[resource_type] = user_feature_list else: need_global_features = True else: logger.error("fail to get user info,uid:%s" % uid) return (False, result) #TODO:may not need to get hot features again #TODO:may join with old_user recommend logger.debug("need_global_features:%s" % need_global_features) if need_global_features: logger.debug("need global features for new user recommend,uid:%s" % uid) resouce_feature_name_list = get_resource_hot_feature_list(user_info, count) if not resouce_feature_name_list: return (False, result) logger.debug("resouce_feature_name_list:%s" % resouce_feature_name_list) #update user feature feature for resource_type, feature_name_list_proto in resouce_feature_name_list.iteritems(): if resource_type in user_info.user_feature_info and len(user_info.user_feature_info[resource_type].feature): continue user_feature_list = UserFeatureList() for item in feature_name_list_proto.feature: cur = user_feature_list.feature.add() cur.feature_name = item.feature_name cur.visit_info.pv_count = 0 cur.visit_info.click_count = 0 cur.visit_info.weight = item.weight user_info.user_feature_info[resource_type] = user_feature_list resouce_feature_name_list = user_info.user_feature_info for resource_type, feature_name_list_proto in resouce_feature_name_list.iteritems(): #@note:简化逻辑,直接取平均,不考虑余数不足的情况 resource_count = (count+len(resouce_feature_name_list)-1)/len(resouce_feature_name_list) reason_item_list = get_item_list_by_feature_list(user_info, resource_type, feature_name_list_proto, resource_count) logger.info("current size after hot feature list,uid:%s,resource_type:%s,count:%s" % (uid, resource_type, reason_item_list.size())) logger.debug("get new_user_recommend, resource_type:%s, result:%s" % (resource_type, reason_item_list)) if not reason_item_list: continue add_and_dedup_recommend_item(user_info, reason_item_list, result, count) if result.size() >= count: break return (True, result)
def get_item_list_by_item(user_info, resource_type, count): """ get item_list by item recommendation @return RecommendItemContainer """ logger.debug("begin get_item_list_by_item") uid = user_info.uid result = RecommendItemContainer() #get favor item_id列表 errCode, kv_dict = model.get_online_user_favor_item_list(uid, [resource_type]) if not is_valid_data(errCode, kv_dict, "online_user_favor_item_list", {"uid":uid, "resource_type":resource_type}): return result if not kv_dict: return result assert(resource_type in kv_dict) try: item_id_list_proto = ItemIdList() item_id_list_proto.ParseFromString(kv_dict[resource_type]) reason_list = [resource_type+ITEM_RECOMMEND_FEATURE_TYPE+v for v in item_id_list_proto.item_id] item_id_list = [] for v in item_id_list_proto.item_id: if not check_reason(user_info, resource_type+ITEM_RECOMMEND_FEATURE_TYPE+v): continue item_id_list.append(v) if not item_id_list: logger.info("all item id list have no item2item result:%s" % item_id_list) return result #@note: use latest item first item_id_list.reverse() #recommend by item id errCode, kv_dict = model.get_offline_item_recommend_item_list(item_id_list) if not is_valid_data(errCode, kv_dict, "offline_item_recommend_item_list", {"item_id_list":"..."}): return result if not kv_dict: for item_id in item_id_list: reason = resource_type + ITEM_RECOMMEND_FEATURE_TYPE + item_id ignore_reason(user_info, reason) return result for item_id in item_id_list: if result.size() >= count: break if item_id not in kv_dict: logger.info("no item2itemid list for id:%s" % item_id) ignore_reason(user_info, reason) continue k = item_id v = kv_dict[k] reason = resource_type + ITEM_RECOMMEND_FEATURE_TYPE + k item_id_list_proto = ItemIdList() item_id_list_proto.ParseFromString(v) filter_and_compose_recommend_item_list(user_info, reason, item_id_list_proto, result) except: logger.error("bad get_item_list_by_item:%s" % traceback.format_exc()) return result
def get_item_list_by_feature_list(user_info, resource_type, feature_name_list_proto, count): """ get item list by check with all feature list @return RecommendItemContainer """ logger.debug("begin get_item_list_by_feature_list") feature_name_list = [] result = RecommendItemContainer() filtered_feature_name_list_proto = UserFeatureList() for v in feature_name_list_proto.feature: feature_name = v.feature_name if not check_reason(user_info, feature_name): continue feature_name_list.append(feature_name) cur = filtered_feature_name_list_proto.feature.add() cur.feature_name = feature_name if not feature_name_list: logger.info("no new reason from feature list,current feature_name size:%s" % len(feature_name_list_proto.feature)) logger.debug("current feature_name_list_proto:%s" % feature_name_list_proto) return result #news like if ResourceType.RESOURCE_TYPE_NEWS == resource_type: return get_news_online_item_by_feature_list(user_info, resource_type, filtered_feature_name_list_proto, count) #items like errCode, kv_dict = model.get_offline_feature_hot_item_list(feature_name_list) if not is_valid_data(errCode, kv_dict, "offline_feature_hot_item_list", {"feature_name_list":"..."}): return result if not kv_dict: for k in feature_name_list: ignore_reason(user_info, k) return result try: #logger.debug("%s" % feature_name_list) for k in feature_name_list: #@note:ordered logger.debug("check result with feature_name:%s" % k) if result.size() >= count: logger.debug("fetch enough recommend result, count:%s" % count) break if k not in kv_dict: logger.info("no result for feature_name:%s" % k) ignore_reason(user_info, k) continue v = kv_dict[k] item_id_list = ItemIdList() item_id_list.ParseFromString(v) filter_and_compose_recommend_item_list(user_info, k, item_id_list, result) logger.debug("get_item_list_by_feature_list,result_size:%s, uid:%s, resource_type:%s" % (result.size(), user_info.uid, resource_type)) except: logger.error("bad ItemIdList for get_item_list_by_feature_list:%s" % traceback.format_exc()) return result
def old_user_recommend(user_info, resource_distribution_info, count): """ recommend for old user @return (True|False, RecommendItemContainer) """ logger.debug("begin old_user_recommend") result = RecommendItemContainer() for resource_type, cur_count in resource_distribution_info.iteritems(): reason_item_list = old_user_recommend_for_resource_type(user_info, resource_type, cur_count) logger.debug("get old_user_recommend, resource_type:%s, result:%s" % (resource_type, reason_item_list)) if not reason_item_list: continue add_and_dedup_recommend_item(user_info, reason_item_list, result, count) if result.size() >= count: break return (True, result)
def get_item_list_by_user_feature(user_info, resource_type, count): """ get item list by: first get user feature list, then get item list by feature list @return RecommendItemContainer """ logger.debug("begin get_item_list_by_user_feature") uid = user_info.uid (errCode, user_feature_list) = get_user_feature_list(uid, resource_type) if errCode: user_info.user_feature_info[resource_type] = user_feature_list result = RecommendItemContainer() if errCode and len(user_feature_list.feature): result = get_item_list_by_feature_list(user_info, resource_type, user_feature_list, count) if result.size() >= count: return result return result
def old_user_recommend_for_news_like(user_info, resource_type, count): """ get news recommend for old user @return RecommendItemContainer """ logger.debug("begin old_user_recommend_for_news_like") uid = user_info.uid assert(count > 0) (errCode, user_feature_list) = get_user_feature_list(uid, resource_type) if errCode: user_info.user_feature_info[resource_type] = user_feature_list result = RecommendItemContainer() if errCode and len(user_feature_list.feature): result = get_news_online_item_by_feature_list(user_info, resource_type, user_feature_list, count) logger.info("current size after news::features,uid:%s,resource_type:%s,count:%s" % (uid, resource_type, result.size())) logger.debug("get old_user_recommend_news::features, resource_type:%s, result:%s" % (resource_type, result)) if result.size() >= count: logger.info("finish old_user_recommend_for_news_like::features, uid:%s, count:%s" % (uid, result.size())) return result logger.info("finish old_user_recommend_for_news_like::recent, uid:%s, count:%s" % (uid, result.size())) return result
def get_request_recommend(uid, count): """ interface for request recommend,return ordered reason to RecommedItem list @return (True|False, [(reason,[RecommendItem])]) """ try: logger.info("begin request recommend, uid:%s, count:%s" % (uid,count)) result = RecommendItemContainer() logger.debug("begin get_request_recommend") user_info = UserInfo(uid, logger) #@note:new_user判断依据为是否有过点击/收藏等明确的意图行为;可以有过推送行为 new_user = True for k,v in user_info.final_resource_visit_info.iteritems(): if v.click_count != 0: new_user = False break if new_user: errCode, result = new_user_recommend(user_info, count) logger.info("new_user_recommend:uid:%s,status:%s,result count:%s" % (uid,errCode, result.size())) else: resource_distribution_info = get_resource_distribution_info(user_info.final_resource_visit_info, count) logger.info("resource_distribution_info, uid:%s, resource_distribution_info:%s" % (uid, resource_distribution_info)) if not resource_distribution_info: logger.error("get resource_count error for user:%s" % uid) errCode, result = new_user_recommend(user_info, count) logger.info("new_user_recommend:uid:%s,status:%s,result count:%s" % (uid,errCode, result.size())) else: errCode, result = old_user_recommend(user_info, resource_distribution_info, count) logger.info("old_user_recommend:uid:%s,status:%s,result count:%s" % (uid,errCode, result.size())) if result.size() < count: logger.debug("old_user_recommend result:%s" % result) errCode, new_user_result = new_user_recommend(user_info, count - result.size()) logger.info("patch new_user_recommend:uid:%s,status:%s,result count:%s" % (uid,errCode, new_user_result.size())) result.update(new_user_result) update_user_info(user_info, result) final_result = result.to_list(user_info) logger.info("request recommend result, uid:%s, expect_count:%s, real_count:%s, result:%s" % (uid, count, result.size(), result.get_summary_str(final_result))) return (True, final_result) except: logger.error("bad exception in get_request_recommend, exception:%s" % traceback.format_exc()) return (False, {})
def old_user_recommend_for_item(user_info, resource_type, count): """ get item like recommend for old user @return RecommendItemContainer """ result = RecommendItemContainer() uid = user_info.uid logger.debug("begin old_user_recommend_for_item") #policy *:user item list result = old_user_recommend_for_item_user2itemlist(user_info, resource_type, result, count) logger.info("current size after user2itemlist,uid:%s,resource_type:%s,count:%s" % (uid, resource_type, result.size())) if result.size() >= count: return result #policy *:user favor item list => item list result = old_user_recommend_for_item_item2itemlist(user_info, resource_type, result, count) logger.info("current size after item2itemlist,uid:%s,resource_type:%s,count:%s" % (uid, resource_type, result.size())) if result.size() >= count: return result #policy *:user feature list => item list result = old_user_recommend_for_item_userfeaturelist2itemlist(user_info, resource_type, result, count) logger.info("current size after userfeaturelist2itemlist,uid:%s,resource_type:%s,count:%s" % (uid, resource_type, result.size())) return result
def raw_get_news_online_item_by_feature_list(user_info, resource_type, feature_name_list_proto, count, max_recommend_item_count_per_reason, fetch_more_times, backup_feature_count): """ talk with news online item interface by feature list, @return RecommendItemContainer @note: should filter visited feature in user_info for user_feature_list, and update user_info """ result = RecommendItemContainer() input = FeatureNameLimitList() logger.debug("feature list proto:%s" % feature_name_list_proto) for i in feature_name_list_proto.feature: if not check_reason(user_info, i.feature_name): continue #@note: temp logic to ignore some feature type continue_out = False for prefix in NEWS_IGNORE_FEATURE_NAME_PREFIX: if i.feature_name.startswith(prefix): logger.info("ignore feature:%s" % i.feature_name) continue_out = True break if continue_out: continue cur = input.feature_name_limit.add() cur.feature_name = i.feature_name cur.limit = int(count * max_recommend_item_count_per_reason * fetch_more_times) if len(input.feature_name_limit) >= count + backup_feature_count: logger.info("break for enough feature count:%s,feature list:%s" % (len(input.feature_name_limit), input)) break #logger.debug("feature_name:%s,limit:%s" % (cur.feature_name, cur.limit)) if not input.feature_name_limit: logger.info("no new feature to get for news:%s, feature_list size:%s" % (resource_type, len(feature_name_list_proto.feature))) logger.debug("current feature_list :%s" % (feature_name_list_proto)) return result try: #socket_out = urllib2.urlopen(NEWS_ONLINE_URL_SEARCH_BY_QUERY, urllib.urlencode(input.SerializeToString())) socket_out = urllib2.urlopen(NEWS_ONLINE_URL_SEARCH_BY_QUERY, input.SerializeToString(), timeout=online_clicklog_feedback.NEWS_TIMEOUT_SECONDS) return_data = socket_out.read() except: logger.error("fail to talk with online news server,featurelists:%s,exceptions:%s" % (input, traceback.format_exc())) return result try: output = NewsFeatureItemList() output.ParseFromString(return_data) logger.debug("get news online item list result,user_info:%s,result:%s" % (user_info, output)) except: logger.error("bad parse news return value:%s" % traceback.format_exc()) return result for reason_item_id_list in output.feature_item: if not len(reason_item_id_list.item_feature_info): continue reason = reason_item_id_list.feature_name resource_type = ResourceType.get_resource_type(reason) item_list = [] for i in reason_item_id_list.item_feature_info: if i.item_id in user_info.recent_push_item_id_list: logger.debug("ignore existing item id:%s" % i.item_id) continue item = RecommendItem() item.item_id = i.item_id item.item_info_json = i.item_info item.feature_name_list = i.item_feature_list item_list.append(item) user_info.recent_push_item_id_list.add(i.item_id) logger.info("item_list:%s" %item_list) if len(item_list) >= max_recommend_item_count_per_reason: logger.debug("real_list size:%s, select part:%s" % (len(reason_item_id_list.item_feature_info), max_recommend_item_count_per_reason)) break if not item_list or len(item_list) < max_recommend_item_count_per_reason: logger.info("not enough data, discard:%s" % (item_list)) ignore_reason(user_info, reason) #fetch not enough data, discard this reason continue result.add(reason, item_list) add_reason(user_info, reason) if result.size() >= count: break if not result: logger.info("get empty get_news_online_item_by_feature_list") return result