import datetime

FlockWatch_scheduling = {

'repeat': True,

'repeat_interval': datetime.time(hour=6,minute=0)

}

data_source = {

}

time_interval = [datetime.timedelta(hours=24)]

start_time = False # datetime.datetime(2017,11,19,23,59)

minimum_token_length = 3

ignore_handles = True

trending_unigrams = True

trending_bigrams = True

trending_threshold = 20 # This isn't actually a percent. The trending metric is (t2-t1)/((t2+t1)/2)*100. 66.67 = twice as many occurrences in t2 as t1. The max value is 200, which is always the value if a term appeared zero times in t1 and 1 time or more in t2.

co_occurrence = True

co_occurrence_threshold = 1/20 # This is a ratio representing how frequently words need to co-occur to be reported

repeat_reported_terms = {

"repeat_limit": False,

"limit": 4

}

report_context = True

context_examples = 5

stopword_file = False # '../stops.txt'

log_folder = './log/'

send_notification_email = True

notification_email_recipients = ["user@email.com"]

account_to_send_emails = 'gmail.addy' # must be a gmail account. Don't include "@gmail.com"

password_to_send_emails = 'gmail.addy.password'

email_server = ("smtp.gmail.com", 587)