import os
import glob
from pathlib import Path
import pandas as pd
import time
from datetime import datetime

csv_dir = "/home/hoernschen/cloud/Studium/Master/Masterthesis/Messungen/"
output_dir = "/home/hoernschen/workspace/python/MeasurementConverter/"

def format_timestamp(ts):
    time_string = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(int(ts)))
    #time = datetime.utcfromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S')
    time_string = time_string + "." + str(int(ts)%1000).zfill(3)
    return time_string

measurement_files = Path(csv_dir).rglob('*.csv')

for measurement_file in measurement_files:
    if "Messung" or "Network" in measurement_file.name:
        continue
    print(measurement_file.name)
    csv_data = pd.read_csv(measurement_file.absolute())
    new_csv_data = []
    for data in csv_data.to_numpy():
        new_csv_data.append([format_timestamp(data[1]),"startTestrun"])
        new_csv_data.append([format_timestamp(data[2]),"stopTestrun"])

    new_csv = pd.DataFrame(new_csv_data)
    new_csv.to_csv(output_dir + measurement_file.name,header=False, index=False)