consts.py

"""
Forcasts Lambda functions costs based on last day.
"""

TABLE_HEADERS = [
    'Function',
    'Region',
    'Memory (MB)',
    'Average Running Duration in the Last Day (ms)',
    'Number of Invocations in the Last Day',
    'Cost in the Last Day ($)',
    'Monthly Cost Estimation ($)',
]
CONSOLE_TABLE_HEADERS = [
    'Function',
    'Region',
    'Cost in the Last Day ($)',
    'Monthly Cost Estimation ($)',
]
PRICE_PER_INVOCATION = 0.0000002
PRICE_INTERVALS_MS = 100.0
MEMORY_TO_PRICE = {
    128: 0.000000208,
    192: 0.000000313,
    256: 0.000000417,
    320: 0.000000521,
    384: 0.000000625,
    448: 0.000000729,
    512: 0.000000834,
    576: 0.000000938,
    640: 0.000001042,
    704: 0.000001146,
    768: 0.000001250,
    832: 0.000001354,
    896: 0.000001459,
    960: 0.000001563,
    1024: 0.000001667,
    1088: 0.000001771,
    1152: 0.000001875,
    1216: 0.000001980,
    1280: 0.000002045,
    1344: 0.000002188,
    1408: 0.000002292,
    1472: 0.000002396,
    1536: 0.000002501,
    1600: 0.000002605,
    1664: 0.000002709,
    1728: 0.000002813,
    1792: 0.000002917,
    1856: 0.000003021,
    1920: 0.000003126,
    1984: 0.000003230,
    2048: 0.000003334,
    2112: 0.000003438,
    2176: 0.000003542,
    2240: 0.000003647,
    2304: 0.000003751,
    2368: 0.000003855,
    2432: 0.000003959,
    2496: 0.000004063,
    2560: 0.000004168,
    2624: 0.000004272,
    2688: 0.000004376,
    2752: 0.000004480,
    2816: 0.000004584,
    2880: 0.000004688,
    2944: 0.000004793,
    3008: 0.000004897,
}


def get_price_by_memory(memory_size):
    """
    Returns the price according to the closest memory size.
    :param memory_size: memory size int.
    :return: price float.
    """

    function_memory = min(
        list(MEMORY_TO_PRICE.keys()),
        key=lambda x: abs(x - memory_size)
    )
    return MEMORY_TO_PRICE[function_memory]