num_sleeping_users = len(active_devs_sleeping_intervals_df)
path = (super_path + '/' + project_name + "/Sleeping&Awaken_Users")
util.writeUsersCSV_byItem(active_devs_sleeping_intervals_df, path)
num_hibernation_users = len(active_devs_hibernation_intervals_df)
path = (super_path + '/' + project_name + "/Hibernated&Unfrozen_Users")
util.writeUsersCSV_byItem(active_devs_hibernation_intervals_df, path)
num_dead_users = len(active_devs_dead_intervals_df)
path = (super_path + '/' + project_name + "/Dead&Resurrected_Users")
util.writeUsersCSV_byItem(active_devs_dead_intervals_df, path)
full_sleepings_list = util.getSleepingsList(super_path, project_name)
full_hibernated_list = util.getHibernationsList(
super_path,
project_name) # Includes Deads because they have been Hibernated before
full_dead_list = util.getDeadsList(super_path, project_name)
util.add(projects_stats, [
project_name, num_all_users, num_active_users,
len(full_sleepings_list),
len(full_hibernated_list),
len(full_dead_list)
])
project_transitions = util.countDevTransitions(super_path, project_name,
breaks_df['durations'])
durations = util.reportDevsBreaksLengthDistribution(project_name, super_path)
durations.to_csv(super_path + '/' + project_name +
'/dev_statuses_durations.csv',
sep=';',
na_rep='NA',
proj_path = main_path + '/' + project_name
with open(proj_path + '/inactivity_interval_list.csv',
'r') as f: #opens PW file
inactivity_intervals_data = [
list(map(str, rec)) for rec in csv.reader(f, delimiter=',')
]
active_users_df = pandas.read_csv(proj_path + '/active_users.csv')
num_main_proj_users = len(inactivity_intervals_data)
num_active_users = len(active_users_df)
full_sleepings_list = util.getSleepingsList(proj_path)
full_hibernated_list = util.getHibernationsList(
proj_path) # Includes Deads because they have been Hibernated before
full_dead_list = util.getDeadsList(proj_path)
util.add(projects_stats, [
project_name, num_main_proj_users, num_active_users,
len(full_sleepings_list),
len(full_hibernated_list),
len(full_dead_list)
])
# Write Final Tables
projects_stats.to_csv(main_path + '/projects_stats.csv',
sep=';',
na_rep='NA',
header=True,
index=False,
mode='w',