| # 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. |
| |
| """ |
| esgf_integration_example.py |
| |
| Use OCW to download an ESGF dataset into the common format of an OCW dataset object. |
| |
| In this example: |
| |
| 1. Download an ESGF (https://esgf.llnl.gov/) dataset and load it into a OCW dataset object. |
| |
| OCW modules demonstrated: |
| |
| 1. datasource/esgf |
| |
| """ |
| from __future__ import print_function |
| |
| import ssl |
| import sys |
| from getpass import getpass |
| |
| import ocw.data_source.esgf as esgf |
| |
| def main(): |
| """ |
| An example of using the OCW ESGF library. Connects to an ESGF |
| server and downloads a dataset. |
| """ |
| if hasattr(ssl, '_create_unverified_context'): |
| ssl._create_default_https_context = ssl._create_unverified_context |
| |
| dataset_id = 'obs4mips.CNES.AVISO.zos.mon.v20110829|esgf-data.jpl.nasa.gov' |
| variable = 'zosStderr' |
| |
| if sys.version_info[0] >= 3: |
| username = input('Enter your ESGF OpenID:\n') |
| else: |
| username = raw_input('Enter your ESGF OpenID:\n') |
| |
| password = getpass(prompt='Enter your ESGF Password:\n') |
| |
| # Multiple datasets are returned in a list if the ESGF dataset is |
| # divided into multiple files. |
| datasets = esgf.load_dataset(dataset_id, variable, username, password) |
| |
| # For this example, our dataset is only stored in a single file so |
| # we only need to look at the 0-th value in the returned list. |
| dataset = datasets[0] |
| |
| print('\n--------\n') |
| print('Variable: ', dataset.variable) |
| print('Shape: ', dataset.values.shape) |
| print('A Value: ', dataset.values[100][100][100]) |
| |
| |
| if __name__ == '__main__': |
| main() |