def lambda_handler(event, context):
start_location = os.environ.get("SCHOOL_RUN_FROM", "Manchester")
end_location = os.environ.get("SCHOOL_RUN_TO", "Liverpool")
via_waypoint = os.environ.get("SCHOOL_RUN_ALTERNATIVE_VIA", "Bolton")
alt_route_name = os.environ.get("SCHOOL_RUN_ALTERNATIVE_NAME", "Bolton")
# Request directions via public transit
# tomorrow = datetime.today() + timedelta(days=1)
departure_time = datetime.now().replace(hour=8,
minute=10,
second=0,
microsecond=0)
# departure_time = tomorrow.replace(day=15, hour=8, minute=10, second=0, microsecond=0)
route_one = get_travel_duration(start_location, end_location,
departure_time)
route_two = get_travel_duration(start_location,
end_location,
departure_time,
via=via_waypoint)
print(route_one, route_two)
if travel_time_over_threshold(route_one["normal"], route_one["current"]):
travel_time = humanize.naturaldelta(
timedelta(seconds=route_one["current"]))
message = "School run will take longer than normal - estimated %s." % travel_time
if route_two["current"] < route_one["current"]:
alt_travel_time = humanize.naturaldelta(
timedelta(seconds=route_two["current"]))
message = message + " Traval via %s could be faster - estimated %s." % (
alt_route_name, alt_travel_time)
send_sms(message)
def test_time_under_threshold():
assert travel_time_over_threshold(100, 125) == False
def test_time_under_threshold_when_better_than_normal():
assert travel_time_over_threshold(60, 50) == False
def test_time_under_threshold():
assert travel_time_over_threshold(60, 70) == False
def test_time_over_threshold():
assert travel_time_over_threshold(60, 120)