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_queue.py
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120 lines (97 loc) · 2.94 KB
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from rich.console import Console
# import process features & functions
import _process
console = Console()
# quantum seconds
quantum = {
"queue": 20, # time period per queue (seconds)
"rr": 5, # round robin process time period (seconds)
"fcfs": 20, # fcfs process time period (seconds)
"sjf": 20, # sjf process time period (seconds)
}
# current queue
queue_no = 0
# queues
queue_0 = []
queue_1 = []
queue_2 = []
queue_3 = []
# initiate the queues
def init(pool):
global queue_no, queue_0, queue_1, queue_2, queue_3, quantum
for p in pool:
# if queue priority is 0 set to queue 0
if(p.queue == 0):
queue_0.append(p)
# if queue priority is 1 set to queue 1
elif(p.queue == 1):
queue_1.append(p)
# if queue priority is 2 set to queue 2
elif(p.queue == 2):
queue_2.append(p)
# if queue priority is 3 set to queue 3
elif(p.queue == 3):
queue_3.append(p)
else:
print(f"%s process is not allocated to any queue", str(p.id))
# initiate queue processing
while (
len(queue_0) > 0 or
len(queue_1) > 0 or
len(queue_2) > 0 or
len(queue_3) > 0
):
if(queue_no == 0 and len(queue_0) > 0):
rr(queue_0)
elif(queue_no == 1 and len(queue_1) > 0):
sjf(queue_1)
elif(queue_no == 2 and len(queue_2) > 0):
sjf(queue_2)
elif(queue_no == 3 and len(queue_3) > 0):
fcfs(queue_3)
# reset queue quantum
quantum["queue"]= 20
# switch to next queue
queue_no = (queue_no + 1) % 4
# round robin schedular
def rr(queue):
execute(queue, "rr")
# shortest job first schedular
def sjf(queue):
# sort list by `burst` in the natural order
queue.sort(key=lambda x: x.burst)
execute(queue, "sjf")
# first come fist server schedular
def fcfs(queue):
execute(queue, "fcfs")
# execute the scheduler process
def execute(queue, scheduler):
while len(queue) > 0 and quantum["queue"] > 0:
p = queue[0]
_time = cal_time(quantum[scheduler], p)
completed = _process.run(_time, p)
end(p, _time, queue, completed)
# wrap the end of process
def end(p, _time, queue, completed):
global quantum, queue_no
# display the process status
# _process.display(p, _time, queue_no)
# if the current process is not completed in round robin
# pop from top and add it to the back of the queue
if(queue_no == 0):
if(completed == 0):
queue.append(p)
queue.pop(0)
# remove the completed process
elif(completed):
queue.pop(0)
# reduce the queue time
quantum["queue"] -= _time
# calculate time
def cal_time(_time, p):
global quantum
if(p.burst < _time):
_time = p.burst
if(_time > quantum["queue"]):
_time = quantum["queue"]
return _time