Data Driven Programming

DataDriven.py

from User import User
from EmailService import EmailService

#
# rules data
#
rule_set = [
    {
        "country": ["fr"],
        "subject": "Bonjour et bienvenue sur notre site",
        "content": "Bonjour et Bienvenue sur notre tout nouveau site. Contactez l'équipe de support si vous avez des..."
    },
    {
        "country": ["us", "ca"],
        "subject": "Welcome to our site",
        "content": "Hello and Welcome to our brand new site. Contact support team if you have any questions."
    },
    {
        "min_age": 18,
        "subject": "Important reminder",
        "content": "Important: Please note that user under the age of 18 must provide a signed waiver from a parent ..."
    },
    {
        "payment_status": "Unverified",
        "subject": "Reminder about your payment status",
        "content": "Please don't forget to update your payment information on our site"
    }
]

#
# main function
#
def main():

    #
    # Fetch the current user
    #
    user = User()
    user.load_from_session()

    #
    # Process the config data and fire actions
    #
    for rule in rule_set:

        # Process country rule
        if "country" in rule and user.country in rule["country"]:
            EmailService.send(user.email, rule["subject"], rule["content"])

        # Process minimum age rule
        if "min_age" in rule and user.age < rule["min_age"]:
            EmailService.send(user.email, rule["subject"], rule["content"])

        # Process payment status rule
        if "payment_status" in rule and user.payment_status == rule["payment_status"]:
            EmailService.send(user.email, rule["subject"], rule["content"])

#
# run main
#
if __name__ == "__main__":
    main()