import binascii
import pandas as pd
import matplotlib.pyplot as plt

counter = 0
counter_prev = 0
millisecs = 0

with open("FILE_1.ECG", "rb") as f:
	with open("HBL_cleaned.txt", "w") as outfile:
		outfile.write(f"timestamp,ECG,etag,ptag\n")
		while True: 
			chunk = f.read(3)
			if not chunk:
				break
			counter+= 1
			ptag = int(binascii.hexlify(chunk), 16) & 0x03
			etag = (int(binascii.hexlify(chunk), 16) & 0x38)>>3
			sample = (int(binascii.hexlify(chunk), 16) & 0xFFFFC0)>>6
			if(etag == 0b110):
				print(f"{counter} \tFIFO Empty")
				continue
			if(etag == 0b010):
				counter_prev = counter
				print(f"{counter} \tFIFO End")
				if (counter_prev - counter > 32):
					print("ABNORMALItY")
				continue
			outfile.write(f'{millisecs},{str(sample)},{format(etag, "03b")},{format(ptag, "03b")}\n')
			millisecs+=1
		
		outfile.close()

df = pd.read_csv('HBL_cleaned.txt')
df['ECG'].plot()
plt.show()