Sorting tuples by randomly generated weight

The problem:
I have a list of tuples containing a string and an int. I have managed sorting the tuples by their second value using the built in sorted function and lambda. The problem with that is that I also need to group up the tuples in case they have the same int. After they are sorted in groups I need to generate a random number between 1 and 6 and based on the highest put the corresponding tuple inside a final list which is meant to represent the truly sorted tuples.

Context: The algorithm is meant to be an Initiative roller for a roleplay game and comparing one value to the next does not suffice, all tuples that have the same int value need to be compared at the same time and not one after another.

Current code:

iniList = [('Enemy 3', 15), ('Aldare', 14), ('Enemy 2', 14), ('Enemy 5', 14), ('Enemy 1', 13), ('Enemy 4', 13)]
finalIniList = [] #the list meant to contain the tuples when they are sorted
iniGroups = []
    currentIni = iniList[0][1]
    currentIniGroup = []
    finalIniList = []
    for x in range(len(iniList)):
        if(currentIni == iniList[x][1]):
            currentIniGroup.append(iniList[x])
            if(x == len(iniList) - 1): iniGroups.append(currentIniGroup)
        else:
            iniGroups.append(currentIniGroup)
            currentIniGroup = []
            currentIniGroup.append(iniList[x])
            currentIni = iniList[x][1]
            if(x == len(iniList) - 1): iniGroups.append(currentIniGroup)
for item in iniGroups:
        print(item)

Output:

[('Enemy 3', 15)]
[('Aldare', 14), ('Enemy 2', 14), ('Enemy 5', 14)]
[('Enemy 1', 13), ('Enemy 4', 13)]

>Solution :

Given

iniList = [('Enemy 3', 15), ('Aldare', 14), ('Enemy 2', 14), ('Enemy 5', 14), ('Enemy 1', 13), ('Enemy 4', 13)]

use itertools.groupby and random.sample:

from random import sample
from itertools import groupby

finalIniList = [(group[0],
                 sample(list_:=[tup[0] for tup in group[1]],k=len(list_)),
                )
                for group in groupby(iniList,key=lambda tup: tup[1])
               ]

to get something like

>>> finalIniList
[
 (highest_initiative, ['shuffled', 'list', 'of', 'entities']),
 (lower_initiative,   ['entity']),
 (lowest_initiative,  ['some', 'more', 'entities', 'randomly', 'ordered']),
]