now += timedelta(hours=1)
return exp_results
if __name__ == '__main__':
# ############################################### Keys and Authentication #######################################
gbq_key = os.environ.get('GOOGLE_APPLICATION_CREDENTIALS')
directory = str(os.path.abspath(os.path.dirname(__file__)))
# directory = os.getcwd()
############################################### Instantiating Popelines #######################################
pope = popelines.popeline(dataset_id='optimizely',
service_key_file_loc=gbq_key,
directory='.',
verbose=False)
# Optimizely parameters
headers = {
'Authorization':
'Bearer 2:EWAWmaXb4TgtYVU2VvwoEF-9UbJxBahkiFh1633_Oc9nmju7iJis',
}
params = (('per_page', 100), )
query = open(f'{directory}/existing_experiments.sql').read()
results = pope.bq_query(query)
# a little clean up before sending hourly calls
all_exp = []
import json
import requests
import popelines
import os
from datetime import datetime, timedelta
from main import fix_values, populating_vals, flatten, flatten_dupe_vals
from generate_original_with_timeseries import read_endpoint, generate_projects, generate_experiments
if __name__ == '__main__':
directory = str(os.path.abspath(os.path.dirname(__file__)))
pope = popelines.popeline(
dataset_id='optimizely',
service_key_file_loc=f'{directory}/../optimizely_svcacc.json',
directory='.',
verbose=False)
headers = {
'Authorization':
'Bearer 2:EWAWmaXb4TgtYVU2VvwoEF-9UbJxBahkiFh1633_Oc9nmju7iJis',
}
experiment_endpoint = 'https://api.optimizely.com/v2/experiments'
######################### updating experiments #########################
experiment_query = open(f'{directory}/existing_experiments.sql').read()
existing_experiments = []
for result in pope.bq_query(experiment_query):
existing_experiments.append(
(result[0], datetime.strftime(result[2], '%Y-%m-%dT%H:%M:%S.%fz')))