#!/usr/bin/env python
from tempfile import NamedTemporaryFile
import shutil
import csv

# Helper function that processes one platform at a time
def purgeDouble(platform):

    # File containing the unprocessed raw data
    filename = 'results/' + platform + '/total.dat'

    #Temporary file for storing the changes
    tempfile = NamedTemporaryFile(delete=False)

    with open(filename, 'rb') as csvFile, tempfile:
        reader = csv.reader(csvFile, delimiter=',', quotechar='"')
        writer = csv.writer(tempfile, delimiter=',', quotechar='"')

        # At the first iteration we manually initialize the previousRow value
        previousRow = []
        for row in reader:

            # If we are not at the first iteration, the values of two power measurement are equal but the times are really different, it means that the data collection duplicated erroneously a value, so we set to null that field
            if previousRow != [] and previousRow[2] == row[2] and (float(previousRow[1]) - float(row[1])) > 2.5:
                print("duplicate found and removed in:")
                print(previousRow)
                print(row)
                row[2] = ''
            else:
                row = row
            writer.writerow(row)
            previousRow = row

    # Move the temporary file to overwrite the original file
    shutil.move(tempfile.name, filename)

# List of all the platforms
platforms = ['cpu', 'gpu-primary', 'gpu-secondary']

# Invoke the purgeDouble function for each platform
for platform in platforms:
    purgeDouble(platform)