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"""Hello Analytics Reporting API V4."""
import argparse
from apiclient.discovery import build
from oauth2client.service_account import ServiceAccountCredentials
import httplib2
from oauth2client import client
from oauth2client import file
from oauth2client import tools
from pprint import pprint
import time
SCOPES = ['https://www.googleapis.com/auth/analytics.readonly']
DISCOVERY_URI = ('https://analyticsreporting.googleapis.com/$discovery/rest')
KEY_FILE_LOCATION = '/auto/srg-sce-swinfra-usr/emb/users/itraviv/GoogleAnalytics/GA_ReportingAPI/My Project-da37fc42de8f.p12'
SERVICE_ACCOUNT_EMAIL = 'trex-cisco@i-jet-145907.iam.gserviceaccount.com'
VIEW_ID = '120207451'
def initialize_analyticsreporting():
"""Initializes an analyticsreporting service object.
Returns:
analytics an authorized analyticsreporting service object.
"""
credentials = ServiceAccountCredentials.from_p12_keyfile(
SERVICE_ACCOUNT_EMAIL, KEY_FILE_LOCATION, scopes=SCOPES)
http = credentials.authorize(httplib2.Http())
# Build the service object.
analytics = build('analytics', 'v4', http=http, discoveryServiceUrl=DISCOVERY_URI)
return analytics
def get_report(analytics, start_date='2016-11-27', end_date='2016-11-27'):
# Use the Analytics Service Object to query the Analytics Reporting API V4.
return analytics.reports().batchGet(
body={
'reportRequests': [
{
'viewId': VIEW_ID,
'dateRanges': [{'startDate': start_date, 'endDate': end_date}],
'metrics': [{'expression': 'ga:metric1', 'formattingType': 'CURRENCY'},
{'expression': 'ga:metric2', 'formattingType': 'CURRENCY'},
{'expression': 'ga:metric3', 'formattingType': 'CURRENCY'},
{'expression': 'ga:totalEvents'}],
'dimensions': [{"name": "ga:eventAction"}, {"name": "ga:dimension1"}, {"name": "ga:dimension2"},
{"name": "ga:dimension3"},
{"name": "ga:date"}, {"name": "ga:hour"}, {"name": "ga:minute"}],
'pageSize': 10000
}
]
}
).execute()
def print_response(response):
"""Parses and prints the Analytics Reporting API V4 response"""
for report in response.get('reports', []):
columnHeader = report.get('columnHeader', {})
dimensionHeaders = columnHeader.get('dimensions', [])
metricHeaders = columnHeader.get('metricHeader', {}).get('metricHeaderEntries', [])
rows = report.get('data', {}).get('rows', [])
for row in rows:
dimensions = row.get('dimensions', [])
dateRangeValues = row.get('metrics', [])
for header, dimension in zip(dimensionHeaders, dimensions):
print header + ': ' + dimension
for i, values in enumerate(dateRangeValues):
print 'Date range (' + str(i) + ')'
for metricHeader, value in zip(metricHeaders, values.get('values')):
print metricHeader.get('name') + ': ' + value
def export_to_tuples(response):
# counter = 0
setups = set()
df = {}
for report in response.get('reports', []):
rows = report.get('data', {}).get('rows', [])
for row in rows:
data = []
dimensions = row.get('dimensions', [])
# print 'this is dimensions'
# print dimensions
data.append(dimensions[1]) # test name
data.append(dimensions[2]) # state
# data.append(dimensions[3]) # setup
data.append(dimensions[4]) # date in YYYYMMDD format
data.append(dimensions[5]) # hour
data.append(dimensions[6]) # minute
dateRangeValues = row.get('metrics', [])
value = dateRangeValues[0].get('values', [])[0] # MPPS
golden_min = dateRangeValues[0].get('values', [])[1] # golden min
golden_max = dateRangeValues[0].get('values', [])[2] # golden max
data.append(value)
# counter += 1
data.append(golden_min)
data.append(golden_max)
data.append(dimensions[0]) # build id
if dimensions[3] in setups:
if dimensions[1] in df[dimensions[3]]:
df[dimensions[3]][dimensions[1]].append(tuple(data))
else:
df[dimensions[3]][dimensions[1]] = [tuple(data)]
else:
df[dimensions[3]] = {}
df[dimensions[3]][dimensions[1]] = [tuple(data)]
setups.add(dimensions[3])
# print 'counter is: %d' % counter
return df, setups
def main():
analytics = initialize_analyticsreporting()
response = get_report(analytics)
df, setups = export_to_tuples(response)
# pprint(df)
return df, setups
if __name__ == '__main__':
main()
"""
response structure (when fetched with "export to tuples"):
{ 'setup1': {'test_name1': [(test_res1),(test_res2),...],
'test_name2': [(test_res1),(test_res2),...]
},
'setup2': {'test_name1': [(test_res1),(test_res2),...],
'test_name2': [(test_res1),(test_res2),...]
},
.
.
.
.
}
{u'kiwi02': {u'VM - 64 bytes, multi CPU, cache size 1024': [(u'VM - 64 bytes, multi CPU, cache size 1024',
u'stl',
u'performance',
u'19.711146',
u'19.0',
u'22.0'),
(u'VM - 64 bytes, multi CPU, cache size 1024',
u'stl',
u'performance',
u'19.581567',
u'19.0',
u'22.0')],
u'VM - 64 bytes, multi CPUs': [(u'VM - 64 bytes, multi CPUs',
u'stl',
u'performance',
u'10.398847',
u'9.7',
u'12.5'),
(u'VM - 64 bytes, multi CPUs',
u'stl',
u'performance',
u'10.925308',
u'9.7',
u'12.5')
]
}
u'trex07': {u'VM - 64 bytes, multi CPU, cache size 1024': [(u'VM - 64 bytes, multi CPU, cache size 1024',
u'stl',
u'performance',
u'25.078212',
u'9.0',
u'15.0')
]
u'VM - 64 bytes, multi CPUs': [(u'VM - 64 bytes, multi CPUs',
u'stl',
u'performance',
u'9.469138',
u'8.5',
u'12.0')
]
}
}
"""
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