config.py.sample

# copy this file to a file called config.py and customize for your own purposes

# customize the list of domains that often contain email you want to keep (like bills, personal emails, etc)
# domains are what occur after the @ sign in an email address;
# these will be ranked lower (less spammy) than non-safe domains
SAFE_DOMAINS = ["gmail.com", "yahoo.com", "email.att-mail.com", "google.com"]


# customize the list of emails and gmail labels to exclude from your analysis because they are emails you want to keep
IGNORE_EMAILS = ["hit-reply@linkedin.com",
                 "orders@eventbrite.com", "grandma@aol.com", "me@work.com"]
# any of your gmail labels that contain mail you want to keep
IGNORE_LABELS = ["_bills"]

# =====
# years of email you want to analyze
# =====
EARLIEST_YEAR = 2004
# set to latest year of email to analyze, or None to include up to today
LATEST_YEAR = None
# set number of years to summarize at a time, or None to summarize once across all years
NUM_YEARS_PER_BATCH = None

# ====
# how many extra examples per frequent sender you want printed
NUM_EXAMPLES_PER_LINE = 3
# during analysis, show progress
NUM_EMAILS_PER_PROGRESS_UPDATE = 500