def write_results(results):
with open('notification_report.txt', 'a') as datafile:
base_func.print_time(datafile, StartDate, EndDate, Version)
# print data
datafile.write("results: " + str(results))
datafile.write('\n')
datafile.write('\n')
def write_results(share_data):
with open('users_countries.txt', 'a') as datafile:
# print date and time
base_func.print_time(datafile, StartDate, EndDate, Version)
# print countries
base_func.print_countries(datafile, countries_code)
# print data
base_func.print_dict(datafile, share_data)
def write_results(results):
with open('users_data.txt', 'a') as datafile:
# print time
base_func.print_time(datafile, StartDate, EndDate, Version)
# print data
base_func.resultsFile.write("all sessions")
base_func.print_dict(datafile, extract_data(StartDate, EndDate, UserId, EventName, Version))
base_func.resultsFile.write("TM sessions")
base_func.print_dict(datafile, extract_data_tm(StartDate, EndDate, UserId, EventName, Version))
base_func.resultsFile.write("token sessions")
base_func.print_dict(datafile, extract_data_tokens(StartDate, EndDate, UserId, EventName, Version))
share_twt_us_unique = list(set(share_twt_us))
share_msg_us_unique = list(set(share_msg_us))
share_more_us_unique = list(set(share_more_us))
skip_share_us_unique = list(set(skip_share_us))
# edited and shared
all_shares = list(
set(share_fb_us_unique + share_inst_us_unique + share_twt_us_unique +
share_msg_us_unique + share_more_us_unique))
edit_approved_is_share = list(
set(unique_collage_approved_us) & set(all_shares))
# open a file to write the data
resultsFile.write("countries: ")
resultsFile.write(base_func.return_countries(countries_code))
resultsFile.write("\n")
base_func.print_time(resultsFile, StartDate, EndDate, Version)
# print data US
# print general data
base_func.print_numeric_data(resultsFile, "unique_users_us",
unique_users_us)
base_func.print_numeric_data(resultsFile, "unique_new_users_us",
unique_new_users_us)
if sessions_duration_ms_us:
base_func.print_values(resultsFile, "avg_sessions_duration_us",
avg_sessions_duration_value_us)
base_func.print_values(resultsFile, "median_sessions_duration_us",
median_sessions_duration_value_us)
resultsFile.write("total time in app during 1st week %d:%02d:%02d" %
(h, m, s))
resultsFile.write("\n")
base_func.print_values(resultsFile, "avg_gallery_size_us",
def write_results(skin_type_data):
with open('skins_analysis.txt', 'a') as datafile:
#print date and time
base_func.print_time(datafile, StartDate, EndDate, Version)
# print data
base_func.print_dict(datafile, skin_type_data)