#!/usr/bin/python
#
# Copyright 2015 Google Inc. 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.

"""This code example runs a reach report."""

import tempfile

# Import appropriate modules from the client library.
from googleads import dfp
from googleads import errors


def main(client):
  # Initialize a DataDownloader.
  report_downloader = client.GetDataDownloader(version='v201602')

  # Create report job.
  report_job = {
      'reportQuery': {
          'dimensions': ['LINE_ITEM_ID', 'LINE_ITEM_NAME'],
          'columns': ['REACH_FREQUENCY', 'REACH_AVERAGE_REVENUE', 'REACH'],
          'dateRangeType': 'REACH_LIFETIME'
      }
  }

  try:
    # Run the report and wait for it to finish.
    report_job_id = report_downloader.WaitForReport(report_job)
  except errors.DfpReportError, e:
    print 'Failed to generate report. Error was: %s' % e

  # Change to your preferred export format.
  export_format = 'CSV_DUMP'

  report_file = tempfile.NamedTemporaryFile(suffix='.csv.gz', delete=False)

  # Download report data.
  report_downloader.DownloadReportToFile(
      report_job_id, export_format, report_file)

  report_file.close()

  # Display results.
  print 'Report job with id \'%s\' downloaded to:\n%s' % (
      report_job_id, report_file.name)


if __name__ == '__main__':
  # Initialize client object.
  dfp_client = dfp.DfpClient.LoadFromStorage()
  main(dfp_client)
