import numpy as np
import struct
import pandas as pd
import beacontools
from beacontools import parse_packet
from converters import BinToFloat, BinToInt
from numpy import dtype
from bitstring import BitArray

test = b"5\x01\'\x02\xfd\x02/\x02e\x01%\xfd8\xc8Xn<\xc3"

print(BitArray(test).bin[:1])
def chunker(seq, size):
    return (seq[pos:pos + size] for pos in range(0, len(seq), size))

def test_bin_float_converstion():
    val = 100
    test = struct.pack(">f", val)
    binary = float_to_bin(val)
    print(binary)
    print(BinToFloat().process(test))
    print(struct.unpack(">f", test))
    print(BinToFloat().process(test, True))
    print(struct.unpack("f", test))

def test_bin_int_converstion():
    print()
    val = 100
    print("VAL IS ", val)
    test = struct.pack("i", val)
    binary = float_to_bin(val)
    print(binary)
    print(BinToInt().process(test))
    print(struct.unpack("i", test))
    print(BinToInt().process(test, True))
    print(struct.unpack(">i", test))

    print()

    val = -100
    print("VAL IS ", val)
    test = struct.pack("i", val)
    binary = float_to_bin(val)
    print(binary)
    print(BinToInt().process(test))
    print(struct.unpack("i", test))
    print(BinToInt().process(test, True))
    print(struct.unpack(">i", test))


def float_to_bin(num):
    return format(struct.unpack('!I', struct.pack('!f', num))[0], '032b')


def convert_row_to_bytes(row):
    row = b"".join([struct.pack("h", x) for x in row])
    # b2f = BinToFloat(15, 32)
    b2i = BinToInt(48)
    print([b2i.process(x, True) for x in chunker(row, 6)])


data = pd.read_csv("accelerometer.data")
print(data)

# test_bin_float_converstion()
# test_bin_int_converstion()

for index, row in data.iterrows():
    convert_row_to_bytes(row)