def main(argv):
# Step 1. Get an analytics service object.
service = hello_analytics_api_v3_auth.initialize_service()
accounts = service.management().accounts().list().execute()
## use this line to use segments segment_id = 'gaid::'+raw_input('Please enter your preferred segment id. If you want no segments, enter -1 ')
for accountProfiles in range (12):
for x in range (countWebProperties(service,accounts,accountProfiles)):
time.sleep(0.1)
try:
# Step 2. Get the user's first profile ID.
profile_id = get_first_profile_id(service,accounts,accountProfiles,x)
if profile_id:
# Step 3. Query the Core Reporting API.
results = get_results(service, profile_id)
# Step 4. Output the results.
print_results(results)
except TypeError, error:
# Handle errors in constructing a query.
print ('There was an error in constructing your query : %s' % error)
except HttpError, error:
# Handle API errors.
print ('Arg, there was an API error : %s : %s' %
(error.resp.status, error._get_reason()))
except AccessTokenRefreshError:
# Handle Auth errors.
print ('The credentials have been revoked or expired, please re-run '
'the application to re-authorize')
def main(argv):
# Initialize the Analytics Service Object
analytics_service_object = hello_analytics_api_v3_auth.initialize_service()
results = get_results(analytics_service_object, hello_analytics_api_v3_auth.PROFILE_ID)
sort_results(results, NUM_FIELDS)
def main(argv):
# Step 1. Get an analytics service object.
service = hello_analytics_api_v3_auth.initialize_service()
for sites in range(12):
try:
# Step 2. Get the user's first profile ID.
profile_id = get_first_profile_id(service, sites)
print "profileID \t%s" % str(profile_id)
if profile_id:
# Step 3. Query the Core Reporting API.
results = get_results(service, profile_id)
#print "I got the results"
# Step 4. Output the results.
print_results(results)
#print "I printed the results"
except TypeError, error:
# Handle errors in constructing a query.
print('There was an error in constructing your query : %s' % error)
except HttpError, error:
# Handle API errors.
print('Arg, there was an API error : %s : %s' %
(error.resp.status, error._get_reason()))
def main(argv):
# Initialize the Analytics Service Object
service = hello_analytics_api_v3_auth.initialize_service()
try:
# Query APIs, print results
profile_id = get_first_profile_id(service)
if profile_id:
results = get_results(service, profile_id)
print_results(results)
except TypeError:
# Handle errors in constructing a query.
print ('There was an error in constructing your query : %s' % error)
except HttpError:
# Handle API errors.
print ('Arg, there was an API error : %s : %s' %
(error.resp.status, error._get_reason()))
except AccessTokenRefreshError:
# Handle Auth errors.
print ('The credentials have been revoked or expired, please re-run '
'the application to re-authorize')
def main(argv):
# Step 1. Get an analytics service object.
service = hello_analytics_api_v3_auth.initialize_service()
for sites in range (12):
try:
# Step 2. Get the user's first profile ID.
profile_id = get_first_profile_id(service,sites)
print "profileID \t%s" %str(profile_id)
if profile_id:
# Step 3. Query the Core Reporting API.
results = get_results(service, profile_id)
#print "I got the results"
# Step 4. Output the results.
print_results(results)
#print "I printed the results"
except TypeError, error:
# Handle errors in constructing a query.
print ('There was an error in constructing your query : %s' % error)
except HttpError, error:
# Handle API errors.
print ('Arg, there was an API error : %s : %s' %
(error.resp.status, error._get_reason()))
def main(argv):
# Initialize the Analytics Service Object
analytics_service_object = hello_analytics_api_v3_auth.initialize_service()
try:
#List the accounts
accounts_response = analytics_service_object.management().accounts().list().execute()
except TypeError, error:
# Handle errors in constructing a query.
print ('There was an error in constructing your accounts query : %s' % error)
def main(argv):
# Step 1. Get an analytics service object.
service = hello_analytics_api_v3_auth.initialize_service()
accounts = service.management().accounts().list().execute()
# accounts is a dictionary that includes some administrative
# info such as username and email (in this case thehutinsight), but also includes a mapping
# of 'items' to a list of dictionaries. The list has an entry for
# each website in the users analytics. That entry is a dictionary mapping
# a set of variables including 'name' to e.g. 'www.thehut.com' and 'id' to e.g. 59323
counter = 0
segmentName = raw_input("Please Enter your preferred Segment Name (Hit Enter for All Visits)\n")
try:
segment_id = "gaid::" + segmentIds.segments_Dictionary[segmentName]
except:
print "Oh dear, That Segment doesn't exist. Please try again or hit enter for no segments"
segment_id = "gaid::" + segmentIds.segments_Dictionary[segmentName]
for accountProfiles in range(13):
for x in range(countWebProperties(service, accounts, accountProfiles)):
time.sleep(0.3)
try:
# Step 2. Get the user's first profile ID.
helperList = get_first_profile_id(service, accounts, accountProfiles, x)
profile_id = helperList[0]
if profile_id:
try:
activeWebsites[helperList[1]]
# Step 3. Query the Core Reporting API.
results = get_results(service, profile_id, segment_id)
except (KeyError):
results = None
# Step 4. Output the results.
print_results(results, counter)
if results:
counter += 1
# print "I printed the results"
except TypeError, error:
# Handle errors in constructing a query.
print ("There was an error in constructing your query : %s" % error)
except HttpError, error:
# Handle API errors.
print ("Arg, there was an API error : %s : %s" % (error.resp.status, error._get_reason()))
except AccessTokenRefreshError:
# Handle Auth errors.
print ("The credentials have been revoked or expired, please re-run " "the application to re-authorize")
def mainHelper(argv, date1, dimensionString, metricString, myNewFile,
segment_id_list):
# Step 1. Get an analytics service object.
service = hello_analytics_api_v3_auth.initialize_service()
accounts = service.management().accounts().list().execute()
#accounts is a dictionary that includes some administrative
#info such as username and email (in this case thehutinsight), but also includes a mapping
#of 'items' to a list of dictionaries. The list has an entry for
#each website in the users analytics. That entry is a dictionary mapping
#a set of variables including 'name' to e.g. 'www.thehut.com' and 'id' to e.g. 59323
for accountProfiles in range(13):
for x in range(countWebProperties(service, accounts, accountProfiles)):
time.sleep(0.3)
try:
# Step 2. Get the user's first profile ID.
helperList = get_first_profile_id(service, accounts,
accountProfiles, x)
profile_id = helperList[0]
if profile_id:
try:
activeWebsites[helperList[1]]
# Step 3. Query the Core Reporting API.
results = get_results(service, profile_id,
segment_id_list[0], date1, date1,
dimensionString, metricString)
except (KeyError):
results = None
# Step 4. Output the results.
## print_results(results,counter,dimensionList, metricList,myNewFile)
## print "I printed the results"
## print counter
except TypeError, error:
# Handle errors in constructing a query.
print('There was an error in constructing your query : %s' %
error)
except HttpError, error:
# Handle API errors.
print('Arg, there was an API error : %s : %s' %
(error.resp.status, error._get_reason()))
except AccessTokenRefreshError:
# Handle Auth errors.
print(
'The credentials have been revoked or expired, please re-run '
'the application to re-authorize')
def query_to_results(query_object):
service = hello_analytics_api_v3_auth.initialize_service()
accounts = service.management().accounts().list().execute()
results_list = []
parameters = extract_arguments(query_object)
for site in parameters['profiles']:
for segment in parameters['segments']:
for dates in range (len(parameters['dates'])):
results_list.append(get_results(service,site,segment,parameters['dates'][dates]['start'],parameters['dates'][dates]['end'],parameters['dimensions'],parameters['metrics']))
time.sleep(0.5)
time.sleep(0.1)
time.sleep(0.1)
time.sleep(0.1)
return results_list
def main(argv):
service = hello_analytics_api_v3_auth.initialize_service()
try:
# Query APIs, print results
profile_id = get_first_profile_id(service)
if profile_id:
results = get_results(service, profile_id)
print_results(results)
except TypeError, error:
# Handle errors in constructing a query.
print ('There was an error in constructing your query : %s' % error)
def main(argv):
funDict = {"": "-1", "UK": "470502913"}
# Step 1. Get an analytics service object.
service = hello_analytics_api_v3_auth.initialize_service()
accounts = service.management().accounts().list().execute()
segment_id = "gaid::-1"
try:
profiles = service.management().segments().list().execute()
except TypeError, error:
# Handle errors in constructing a query.
print("There was an error in constructing your query : %s" % error)
profiles = {"items": "hi"}
def query_to_results(query_object):
service = hello_analytics_api_v3_auth.initialize_service()
accounts = service.management().accounts().list().execute()
results_list = []
parameters = extract_arguments(query_object)
for site in parameters['profiles']:
for segment in parameters['segments']:
for dates in range (len(parameters['dates'])):
results_list.append(get_results(service,site,segment,parameters['dates'][dates]['start'],parameters['dates'][dates]['end'],parameters['dimensions'],parameters['metrics']))
time.sleep(0.5)
time.sleep(0.1)
time.sleep(0.1)
time.sleep(0.1)
return results_list
def main(argv):
# Initialize the Analytics Service Object
analytics_service_object = hello_analytics_api_v3_auth.initialize_service()
WEB_PROPERTY_ID = hello_analytics_api_v3_auth.WEB_PROPERTY_ID
try:
profiles_response = analytics_service_object.management().profiles().list( #Note that you needed to edit this to profiles_response from the docs
accountId=WEB_PROPERTY_ID.split('-')[1],
webPropertyId=WEB_PROPERTY_ID).execute()
except TypeError, error:
# Handle errors in constructing a query.
print ('There was an error in constructing your profiles query : %s' % error)
def main(argv):
service = hello_analytics_api_v3_auth.initialize_service()
accounts = service.management().accounts().list().execute()
counter = 0
segmentName = raw_input('Please Enter your preferred Segment Name (Hit Enter for All Visits)\n')
try:
segment_id = 'gaid::'+segmentIds.segments_Dictionary[segmentName]
except:
print "Oh dear, That Segment doesn't exist. Please try again or hit enter for no segments"
segment_id = 'gaid::'+segmentIds.segments_Dictionary[segmentName]
for accountProfiles in range (20):
for x in range (countWebProperties(service,accounts,accountProfiles)):
time.sleep(0.4)
try:
# Step 2. Get the user's first profile ID.
helperList = get_first_profile_id(service,accounts,accountProfiles,x)
print helperList
profile_id = helperList[0]
if profile_id:
try:
activeWebsites[helperList[1]]
# Step 3. Query the Core Reporting API.
results = get_results(service, profile_id, segment_id)
except(KeyError):
results = None
# Step 4. Output the results.
print_results(results,counter)
if results:
counter += 1
#print "I printed the results"
except TypeError, error:
# Handle errors in constructing a query.
print ('There was an error in constructing your query : %s' % error)
except HttpError, error:
# Handle API errors.
print ('Arg, there was an API error : %s : %s' %
(error.resp.status, error._get_reason()))
except AccessTokenRefreshError:
# Handle Auth errors.
print ('The credentials have been revoked or expired, please re-run '
'the application to re-authorize')
def main(argv):
# Initialize the Analytics Service Object
service = hello_analytics_api_v3_auth.initialize_service()
try:
# Query APIs, print results
profile_id = get_first_profile_id(service)
if profile_id:
results = get_results(service, profile_id)
print_results(results) #This line throws the exception
except TypeError, error:
# Handle errors in constructing a query.
print ('There was an error in constructing your 1st query : %s' % error)
def mainHelper(argv,date1, date2, dimensionString, metricString, dimensionList, metricList,myNewFile,segment_id):
# Step 1. Get an analytics service object.
service = hello_analytics_api_v3_auth.initialize_service()
accounts = service.management().accounts().list().execute()
#accounts is a dictionary that includes some administrative
#info such as username and email (in this case thehutinsight), but also includes a mapping
#of 'items' to a list of dictionaries. The list has an entry for
#each website in the users analytics. That entry is a dictionary mapping
#a set of variables including 'name' to e.g. 'www.thehut.com' and 'id' to e.g. 59323
counter = 0
for accountProfiles in range (13):
for x in range (countWebProperties(service,accounts,accountProfiles)):
time.sleep(0.3)
try:
# Step 2. Get the user's first profile ID.
helperList = get_first_profile_id(service,accounts,accountProfiles,x)
profile_id = helperList[0]
if profile_id:
try:
activeWebsites[helperList[1]]
# Step 3. Query the Core Reporting API.
results = get_results(service, profile_id, segment_id, date1, date2, dimensionString, metricString)
except(KeyError):
results = None
# Step 4. Output the results.
print_results(results,counter,dimensionList, metricList,myNewFile)
if results:
counter += 1
#print "I printed the results"
except (TypeError):
# Handle errors in constructing a query.
print ('There was an error in constructing your query : %s' % error)
except (HttpError):
# Handle API errors.
print ('Arg, there was an API error : %s : %s' %
(error.resp.status, error._get_reason()))
except (AccessTokenRefreshError):
# Handle Auth errors.
print ('The credentials have been revoked or expired, please re-run '
'the application to re-authorize')
def main(argv):
# Step 1. Get an analytics service object.
service = hello_analytics_api_v3_auth.initialize_service()
try:
# Step 2. Get the user's first profile ID.
profile_id = get_first_profile_id(service)
if profile_id:
# Step 3. Query the Core Reporting API.
results = get_results(service, profile_id)
# Step 4. Output the results.
print_results(results)
except TypeError, error:
# Handle errors in constructing a query.
print ('There was an error in constructing your query : %s' % error)
def main(argv):
# Step 1. Get an analytics service object.
service = hello_analytics_api_v3_auth.initialize_service()
try:
# Step 2. Get the user's first profile ID.
profile_id = get_first_profile_id(service)
if profile_id:
# Step 3. Query the Core Reporting API.
results = get_results(service, profile_id)
# Step 4. Output the results.
print_results(results)
except TypeError, error:
# Handle errors in constructing a query.
print ('There was an error in constructing your query : %s' % error)
def main(argv):
## print x
##print "Hey-ho merry-o ring a ding a dillo what the chuff"
# Step 1. Get an analytics service object.
service = hello_analytics_api_v3_auth.initialize_service()
accounts = service.management().accounts().list().execute()
segment_id = 'gaid::-1'
## segments = service.management().segments().list().execute()
## print segments
for accountProfiles in range (12):
for x in range (countWebProperties(service,accounts,accountProfiles)):
time.sleep(0.1)
try:
# Step 2. Get the user's first profile ID.
profile_id = get_first_profile_id(service,accounts,accountProfiles,x)
## print "profileID \t%s" %str(profile_id)
if profile_id:
# Step 3. Query the Core Reporting API.
results = get_results(service, profile_id, segment_id)
#print "I got the results"
# Step 4. Output the results.
print_results(results)
#print "I printed the results"
except TypeError, error:
# Handle errors in constructing a query.
print ('There was an error in constructing your query : %s' % error)
except HttpError, error:
# Handle API errors.
print ('Arg, there was an API error : %s : %s' %
(error.resp.status, error._get_reason()))
except AccessTokenRefreshError:
# Handle Auth errors.
print ('The credentials have been revoked or expired, please re-run '
'the application to re-authorize')
def main(curr_day):
# Step 1. Get an analytics service object.
service = hello_analytics_api_v3_auth.initialize_service()
#logfile = open("log.log",'wb')
#accounts_map = {
# "Daily Life" : "22700242", #AKA Fairfax Media - Metro
# "Drive" : "22516094",
# "TP New Car Showroom" : "2019139",
# "Kidspot" : "225257",
# "Living Social" : "3767395",
# "Mazda" : "10349309",
# }
##accounts = service.management().accounts().list().execute()
#for account_name,account_id in accounts_map.iteritems():
# logfile.write(str('\n'+account_name+'\n'))
# #Grab web properties and their IDS
# logfile.write("\nWEB PROPERTIES\n")
# webproperties = service.management().webproperties().list(accountId=account_id).execute()
# for web_p in webproperties.get('items'):
# logfile.write('\n'+str(web_p))
# #obtain profile ID
# profiles = service.management().profiles().list(
# accountId=account_id,
# webPropertyId=web_p['id']).execute()
# try:
# for profile in profiles['items']:
# logfile.write("\nPROFILES\n")
# logfile.write('\n'+str(profile))
# except:
# continue
# #logfile.writelines(profiles)
#logfile.close()
profile_map = {
"Daily Life": "54624166", #AKA Fairfax Media - Metro
# "Drive" : "44394715",
"TP New Car Showroom": "69339994",
"Kidspot": "299451",
"Living Social": "85692242",
# "Mazda" : "10349309",
"Ausvance": "65347538",
}
for profile_name, profile_id in profile_map.iteritems():
writer = open(profile_name + '.txt', 'wb')
try:
print("Pulling results for %s" % profile_name)
results = get_results(service, profile_id, curr_day)
#DO SOMETHING WITH RESULTS
upload_rows = []
if results:
print("Processing Results")
for row in results['rows']:
print(row)
try:
split_ad_content = str(row[0]).split('_')
pub_id = split_ad_content[2]
source_id = split_ad_content[3]
sub_id = split_ad_content[4]
tier = split_ad_content[0].replace('DB-', '')
product = split_ad_content[1]
except:
pub_id = ''
source_id = ''
sub_id = ''
tier = ''
product = ''
new_row = [
curr_day, profile_name,
str(row[0]),
int(row[1]),
int(row[2]),
float(row[3]),
int(row[4]),
int(row[5]),
float(row[6]),
float(row[7]),
float(row[8]), tier, product, pub_id, source_id, sub_id
]
upload_rows.append(new_row)
upload_data(upload_rows, curr_day, profile_name)
except:
error = traceback.format_exc()
mail(error, profile_name)
continue
import Analytics_Methods as AM
import hello_analytics_api_v3_auth
from apiclient.errors import HttpError
from oauth2client.client import AccessTokenRefreshError
import datetime
import segmentIds as si
import dimensions_and_metrics
import collectArguments as ca
import analytics_ids as ai
import site_to_dictionary as std
import datetime
from datetime import timedelta
from datetime import date
service = hello_analytics_api_v3_auth.initialize_service()
accounts = service.management().accounts().list().execute()
now = datetime.datetime.now()
today = now.strftime('%Y-%m-%d')
profile_ids = AM.get_profile_ids()
site_profiles = AM.get_site_profiles()
account_items = AM.get_account_items()
webproperties = AM.get_webproperties()
account_ids_to_websites = AM.get_account_ids_to_websites()
account_ids_to_website_ids = AM.get_account_ids_to_website_ids()
all_profiles = AM.get_profile_list()
site_name_to_true_webPropertyId = AM.get_site_name_to_true_webPropertyId()
get_site_name_to_true_webPropertyId = AM.get_site_name_to_true_webPropertyId()
dates = AM.get_dates()
final_results = AM.get_final_results()
#write_to_file()
import Analytics_Methods as AM
import hello_analytics_api_v3_auth
from apiclient.errors import HttpError
from oauth2client.client import AccessTokenRefreshError
import datetime
import segmentIds as si
import dimensions_and_metrics
import collectArguments as ca
import analytics_ids as ai
import site_to_dictionary as std
import datetime
from datetime import timedelta
from datetime import date
service = hello_analytics_api_v3_auth.initialize_service()
accounts = service.management().accounts().list().execute()
now = datetime.datetime.now()
today = now.strftime('%Y-%m-%d')
profile_ids = AM.get_profile_ids()
site_profiles = AM.get_site_profiles()
account_items = AM.get_account_items()
webproperties = AM.get_webproperties()
account_ids_to_websites = AM.get_account_ids_to_websites()
account_ids_to_website_ids = AM.get_account_ids_to_website_ids()
all_profiles = AM.get_profile_list()
site_name_to_true_webPropertyId = AM.get_site_name_to_true_webPropertyId()
get_site_name_to_true_webPropertyId = AM.get_site_name_to_true_webPropertyId()
dates = AM.get_dates()
def main(curr_day):
# Step 1. Get an analytics service object.
service = hello_analytics_api_v3_auth.initialize_service()
#logfile = open("log.log",'wb')
#accounts_map = {
# "Daily Life" : "22700242", #AKA Fairfax Media - Metro
# "Drive" : "22516094",
# "TP New Car Showroom" : "2019139",
# "Kidspot" : "225257",
# "Living Social" : "3767395",
# "Mazda" : "10349309",
# }
##accounts = service.management().accounts().list().execute()
#for account_name,account_id in accounts_map.iteritems():
# logfile.write(str('\n'+account_name+'\n'))
# #Grab web properties and their IDS
# logfile.write("\nWEB PROPERTIES\n")
# webproperties = service.management().webproperties().list(accountId=account_id).execute()
# for web_p in webproperties.get('items'):
# logfile.write('\n'+str(web_p))
# #obtain profile ID
# profiles = service.management().profiles().list(
# accountId=account_id,
# webPropertyId=web_p['id']).execute()
# try:
# for profile in profiles['items']:
# logfile.write("\nPROFILES\n")
# logfile.write('\n'+str(profile))
# except:
# continue
# #logfile.writelines(profiles)
#logfile.close()
profile_map = {
"Daily Life" : "54624166", #AKA Fairfax Media - Metro
# "Drive" : "44394715",
"TP New Car Showroom" : "69339994",
"Kidspot" : "299451",
"Living Social" : "85692242",
# "Mazda" : "10349309",
"Ausvance" : "65347538",
}
for profile_name, profile_id in profile_map.iteritems():
writer = open(profile_name+'.txt','wb')
try:
print("Pulling results for %s"%profile_name)
results = get_results(service, profile_id, curr_day)
#DO SOMETHING WITH RESULTS
upload_rows = []
if results:
print("Processing Results")
for row in results['rows']:
print(row)
try:
split_ad_content = str(row[0]).split('_')
pub_id=split_ad_content[2]
source_id = split_ad_content[3]
sub_id = split_ad_content[4]
tier = split_ad_content[0].replace('DB-','')
product = split_ad_content[1]
except:
pub_id=''
source_id=''
sub_id=''
tier=''
product=''
new_row = [curr_day,profile_name,str(row[0]),int(row[1]),int(row[2]),float(row[3]),int(row[4]),int(row[5]),float(row[6]),float(row[7]),float(row[8]),tier,product,pub_id,source_id,sub_id ]
upload_rows.append(new_row)
upload_data(upload_rows,curr_day,profile_name)
except:
error = traceback.format_exc()
mail(error,profile_name)
continue