def main():
parser = argparse.ArgumentParser()
parser.add_argument("-c",
"--count",
type=int,
default=100,
help='Specify # of fake members record to be inserted')
args = parser.parse_args()
fake = Faker()
Member.init()
for _ in range(args.count):
member = Member(first_name=fake.first_name(),
last_name=fake.last_name())
member.save()
from members import Member
from random_group import random_group
app = Flask(__name__)
# TODO: Specify secret_key via env variable
app.secret_key = '28cfe91e907f'
logging.basicConfig(level=logging.INFO,
stream=sys.stderr,
format='%(asctime)s [%(name)s] %(levelname)s: %(message)s')
logger = logging.getLogger(__name__)
# This creates an Elasticsearch index for Member model
# Elasticsearch index can be treated as table in SQL database
Member.init()
# TODO: Add exception handling and return 5xx page if needed
@app.route('/')
def index():
return render_template('index.html')
@app.route('/lunch_time')
def lunch_time():
# seed should be None if it's not specified or an empty string
seed = request.args.get('seed') or None
# NOTE: There may be a performance issue if there are millions of members
