| # |
| # Licensed to the Apache Software Foundation (ASF) under one or more |
| # contributor license agreements. See the NOTICE file distributed with |
| # this work for additional information regarding copyright ownership. |
| # The ASF licenses this file to You 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. |
| # |
| |
| """ |
| Import sample data for recommendation engine |
| """ |
| |
| import predictionio |
| import argparse |
| import random |
| |
| RATE_ACTIONS_DELIMITER = "::" |
| SEED = 3 |
| |
| def import_events(client, file): |
| f = open(file, 'r') |
| random.seed(SEED) |
| count = 0 |
| print("Importing data...") |
| for line in f: |
| data = line.rstrip('\r\n').split(RATE_ACTIONS_DELIMITER) |
| # For demonstration purpose, randomly mix in some buy events |
| if (random.randint(0, 1) == 1): |
| client.create_event( |
| event="rate", |
| entity_type="user", |
| entity_id=data[0], |
| target_entity_type="item", |
| target_entity_id=data[1], |
| properties= { "rating" : float(data[2]) } |
| ) |
| else: |
| client.create_event( |
| event="buy", |
| entity_type="user", |
| entity_id=data[0], |
| target_entity_type="item", |
| target_entity_id=data[1] |
| ) |
| count += 1 |
| f.close() |
| print("%s events are imported." % count) |
| |
| if __name__ == '__main__': |
| parser = argparse.ArgumentParser( |
| description="Import sample data for recommendation engine") |
| parser.add_argument('--access_key', default='invald_access_key') |
| parser.add_argument('--url', default="http://localhost:7070") |
| parser.add_argument('--file', default="./data/sample_movielens_data.txt") |
| |
| args = parser.parse_args() |
| print(args) |
| |
| client = predictionio.EventClient( |
| access_key=args.access_key, |
| url=args.url, |
| threads=5, |
| qsize=500) |
| import_events(client, args.file) |