import imc_termite
import json
import glob
from pathlib import Path

# list files in sample directory
# fileobj1 = Path("samples/").rglob("*.raw")
# rawlist1 = [str(fl) for fl in fileobj1]
rawlist1 = ["samples/datasetB/datasetB_32.raw"]
print(rawlist1)

for fl in rawlist1:

    print("converting " + str(fl))

    # declare and initialize instance of "imctermite" by passing a raw-file
    try :
        imcraw = imc_termite.imctermite(fl.encode())
    except RuntimeError as e :
        print("failed to load/parse raw-file: " + str(e))

    # obtain list of channels as list of dictionaries (without data)
    channels = imcraw.get_channels(False)
    print(json.dumps(channels,indent=4, sort_keys=False))

# # obtain data of first channel (with data)
# channelsdata = imcraw.get_channels(True)
# if len(channelsdata) > 0 :
#     chnydata = channelsdata[0]['ydata']
#     chnxdata = channelsdata[0]['xdata']
#
# print(len(chnydata))
# print(len(chnxdata))
#
# # print the channels into a specific directory
# imcraw.print_channels(b"./")

# print all channels in single file
# imcraw.print_table(b"./allchannels.csv")