# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from __future__ import print_function import numpy as np from paddlerec.core.reader import ReaderBase from paddlerec.core.utils import envs from collections import defaultdict class Reader(ReaderBase): def init(self): self.watch_vec_size = envs.get_global_env( "hyper_parameters.watch_vec_size") self.search_vec_size = envs.get_global_env( "hyper_parameters.search_vec_size") self.other_feat_size = envs.get_global_env( "hyper_parameters.other_feat_size") self.output_size = envs.get_global_env("hyper_parameters.output_size") def generate_sample(self, line): """ the file is not used """ def reader(): """ This function needs to be implemented by the user, based on data format """ features = line.rstrip().split(";") watch_vec = features[0].split(',') search_vec = features[1].split(',') other_feat = features[2].split(',') label = features[3] assert (len(watch_vec) == self.watch_vec_size) assert (len(search_vec) == self.search_vec_size) assert (len(other_feat) == self.other_feat_size) feature_name = ["watch_vec", "search_vec", "other_feat", "label"] yield list( zip(feature_name, [watch_vec] + [search_vec] + [other_feat] + [label])) return reader