research/uefa/cycle24/draw24/archive/drawsimulation_verteilung_server.py
2024-01-31 17:12:11 +01:00

389 lines
13 KiB
Python
Executable File

# %%
PROJECT_PATH = '/home/md/Work/ligalytics/leagues_stable/'
import os, sys
sys.path.insert(0, PROJECT_PATH)
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "leagues.settings")
os.environ["DJANGO_ALLOW_ASYNC_UNSAFE"] = "true"
import random
import time
# XPRESS ENVIRONMENT
os.environ['XPRESSDIR'] = "/opt/xpressmp_8.4"
os.environ['XPRESS'] = "/opt/xpressmp_8.4/bin"
os.environ['LD_LIBRARY_PATH'] = os.environ['XPRESSDIR']+"/lib:"+os.environ['LD_LIBRARY_PATH']
os.environ['DYLD_LIBRARY_PATH'] = os.environ['XPRESSDIR']+"/lib:"
os.environ['SHLIB_PATH'] = os.environ['XPRESSDIR']+"/lib:"
os.environ['LIBPATH'] = os.environ['XPRESSDIR']+"/lib:"
# os.environ['PYTHONPATH'] =os.environ['XPRESSDIR']+"/lib:"+os.environ['PYTHONPATH']
os.environ['PYTHONPATH'] =os.environ['XPRESSDIR']+"/lib:"
os.environ['CLASSPATH'] =os.environ['XPRESSDIR']+"/lib/xprs.jar:"
os.environ['CLASSPATH'] =os.environ['XPRESSDIR']+"/lib/xprb.jar:"+os.environ['CLASSPATH']
os.environ['CLASSPATH'] =os.environ['XPRESSDIR']+"/lib/xprm.jar:"+os.environ['CLASSPATH']
os.environ['PATH'] =os.environ['XPRESSDIR']+"/bin:"+os.environ['PATH']
from leagues import settings
settings.DATABASES['default']['NAME'] = PROJECT_PATH+'/db.sqlite3'
import django
django.setup()
from scheduler.models import *
from pulp import *
import csv
import xpress as xp
xp.controls.outputlog = 0
scenario = Scenario.objects.get(id=32)
# %%
teamObjects = Team.objects.filter(season=scenario.season,active=True)
teams = teamObjects.values('id','country','pot')
countries = list(set(teamObjects.values_list('country', flat=True)))
potA_teamObjects = list(teamObjects.filter(pot=1).values('id','country'))
potB_teamObjects = list(teamObjects.filter(pot=2).values('id','country'))
potC_teamObjects = list(teamObjects.filter(pot=3).values('id','country'))
potD_teamObjects = list(teamObjects.filter(pot=4).values('id','country'))
potA_tmp = list(teamObjects.filter(pot=1).values_list('id', flat=True))
potB_tmp = list(teamObjects.filter(pot=2).values_list('id', flat=True))
potC_tmp = list(teamObjects.filter(pot=3).values_list('id', flat=True))
potD_tmp = list(teamObjects.filter(pot=4).values_list('id', flat=True))
teams_from_country = {
c:[t for t in teams if t['country']==c] for c in countries
}
pot = {}
for i in teamObjects.values_list('pot',flat=True).distinct():
pot[i] = list(teams.filter(pot=i))
teams = list(teams)
print("teams = ",teams)
print("countries = ",countries)
print("teams_from_country = ",teams_from_country)
print("pot = ",pot)
print("potA_teamObjects = ",potA_teamObjects)
print("potB_teamObjects = ",potB_teamObjects)
print("potC_teamObjects = ",potC_teamObjects)
print("potD_teamObjects = ",potD_teamObjects)
print("potA_tmp = ",potA_tmp)
print("potB_tmp = ",potB_tmp)
print("potC_tmp = ",potC_tmp)
print("potD_tmp = ",potD_tmp)
exit()
# %%
# directed version
# requirement = {
# 1:[1,-1,2,-2,3,-3,4,-4],
# 2:[1,-1,2,-2,3,-3,4,-4],
# 3:[1,-1,2,-2,3,-3,4,-4],
# 4:[1,-1,2,-2,3,-3,4,-4],
# }
# undirected version
requirement = {
1:{
1:2,
2:2,
3:2,
4:2,
},
2:{
1:2,
2:2,
3:2,
4:2,
},
3:{
1:2,
2:2,
3:2,
4:2,
},
4:{
1:2,
2:2,
3:2,
4:2,
},
}
def check_feasible(fixed_games):
model = xp.problem(name='Draws', sense=xp.minimize)
x = {}
for t1 in teams:
for t2 in teams:
if t1['country'] != t2['country']:
x[t1['id'], t2['id']] = xp.var(ub=1, vartype=xp.integer)
model.addVariable(x)
# REQUIREMENTS
for t in teams:
for r,val in requirement[t['pot']].items():
model.addConstraint(xp.Sum(x[t['id'],t2['id']] for t2 in pot[r] if (t['id'],t2['id']) in x.keys()) == val)
for c in countries:
if c != t['country']:
model.addConstraint(xp.Sum(x[t['id'],t2['id']] for t2 in teams_from_country[c]) <= 3)
# FIXATIONS
for (t1,t2) in fixed_games:
# print("FIXING",t1,t2)
model.addConstraint(x[t1,t2] == 1)
for (t1,t2) in x.keys():
model.addConstraint(x[t1,t2] == x[t2,t1])
start_time = time()
model.solve()
comp_time = time()-start_time
if model.getProbStatus() != 6:
# print("INFEASIBLE FOUND")
return False
else:
return True
import copy
# %%
for i in range(1,1000):
print("SIMULATION",i)
potA = copy.deepcopy(potA_tmp)
potB = copy.deepcopy(potB_tmp)
potC = copy.deepcopy(potC_tmp)
potD = copy.deepcopy(potD_tmp)
possible_Aopps = {
t['id']: [t2['id'] for t2 in potA_teamObjects if t2['country'] != t['country']] for t in teams
}
possible_Bopps = {
t['id']: [t2['id'] for t2 in potB_teamObjects if t2['country'] != t['country']] for t in teams
}
possible_Copps = {
t['id']: [t2['id'] for t2 in potC_teamObjects if t2['country'] != t['country']] for t in teams
}
possible_Dopps = {
t['id']: [t2['id'] for t2 in potD_teamObjects if t2['country'] != t['country']] for t in teams
}
Aopps = defaultdict(lambda:[])
Bopps = defaultdict(lambda:[])
Copps = defaultdict(lambda:[])
Dopps = defaultdict(lambda:[])
fixed_games = []
infeasible = False
while(potA):
new_team = potA.pop(random.randint(0,len(potA)-1))
while(len(Aopps[new_team]) < 2 and len(possible_Aopps[new_team]) > 0):
new_opponent = random.choice(possible_Aopps[new_team])
if len(Aopps[new_opponent]) < 2:
if check_feasible(fixed_games+[(new_team,new_opponent)]):
Aopps[new_team].append(new_opponent)
Aopps[new_opponent].append(new_team)
fixed_games.append((new_team,new_opponent))
possible_Aopps[new_team].remove(new_opponent)
else:
possible_Aopps[new_team].remove(new_opponent)
if len(Aopps[new_team]) < 2:
infeasible = True
break
while(len(Bopps[new_team]) < 2 and len(possible_Bopps[new_team]) > 0):
new_opponent = random.choice(possible_Bopps[new_team])
if len(Aopps[new_opponent]) < 2:
if check_feasible(fixed_games+[(new_team,new_opponent)]):
Bopps[new_team].append(new_opponent)
Aopps[new_opponent].append(new_team)
fixed_games.append((new_team,new_opponent))
possible_Bopps[new_team].remove(new_opponent)
else:
possible_Bopps[new_team].remove(new_opponent)
if len(Bopps[new_team]) < 2:
infeasible = True
break
while(len(Copps[new_team]) < 2 and len(possible_Copps[new_team]) > 0):
new_opponent = random.choice(possible_Copps[new_team])
if len(Aopps[new_opponent]) < 2:
if check_feasible(fixed_games+[(new_team,new_opponent)]):
Copps[new_team].append(new_opponent)
Aopps[new_opponent].append(new_team)
fixed_games.append((new_team,new_opponent))
possible_Copps[new_team].remove(new_opponent)
else:
possible_Copps[new_team].remove(new_opponent)
if len(Copps[new_team]) < 2:
infeasible = True
break
while(len(Dopps[new_team]) < 2 and len(possible_Dopps[new_team]) > 0):
new_opponent = random.choice(possible_Dopps[new_team])
if len(Aopps[new_opponent]) < 2:
if check_feasible(fixed_games+[(new_team,new_opponent)]):
Dopps[new_team].append(new_opponent)
Aopps[new_opponent].append(new_team)
fixed_games.append((new_team,new_opponent))
possible_Dopps[new_team].remove(new_opponent)
else:
possible_Dopps[new_team].remove(new_opponent)
if len(Dopps[new_team]) < 2:
infeasible = True
break
while(potB):
new_team = potB.pop(random.randint(0,len(potB)-1))
while(len(Bopps[new_team]) < 2 and len(possible_Bopps[new_team]) > 0):
new_opponent = random.choice(possible_Bopps[new_team])
if len(Bopps[new_opponent]) < 2:
if check_feasible(fixed_games+[(new_team,new_opponent)]):
Bopps[new_team].append(new_opponent)
Bopps[new_opponent].append(new_team)
fixed_games.append((new_team,new_opponent))
possible_Bopps[new_team].remove(new_opponent)
else:
possible_Bopps[new_team].remove(new_opponent)
if len(Bopps[new_team]) < 2:
infeasible = True
break
while(len(Copps[new_team]) < 2 and len(possible_Copps[new_team]) > 0):
new_opponent = random.choice(possible_Copps[new_team])
if len(Bopps[new_opponent]) < 2:
if check_feasible(fixed_games+[(new_team,new_opponent)]):
Copps[new_team].append(new_opponent)
Bopps[new_opponent].append(new_team)
fixed_games.append((new_team,new_opponent))
possible_Copps[new_team].remove(new_opponent)
else:
possible_Copps[new_team].remove(new_opponent)
if len(Copps[new_team]) < 2:
infeasible = True
break
while(len(Dopps[new_team]) < 2 and len(possible_Dopps[new_team]) > 0):
new_opponent = random.choice(possible_Dopps[new_team])
if len(Bopps[new_opponent]) < 2:
if check_feasible(fixed_games+[(new_team,new_opponent)]):
Dopps[new_team].append(new_opponent)
Bopps[new_opponent].append(new_team)
fixed_games.append((new_team,new_opponent))
possible_Dopps[new_team].remove(new_opponent)
else:
possible_Dopps[new_team].remove(new_opponent)
if len(Dopps[new_team]) < 2:
infeasible = True
break
while(potC):
new_team = potC.pop(random.randint(0,len(potC)-1))
while(len(Copps[new_team]) < 2 and len(possible_Copps[new_team]) > 0):
new_opponent = random.choice(possible_Copps[new_team])
if len(Copps[new_opponent]) < 2:
if check_feasible(fixed_games+[(new_team,new_opponent)]):
Copps[new_team].append(new_opponent)
Copps[new_opponent].append(new_team)
fixed_games.append((new_team,new_opponent))
possible_Copps[new_team].remove(new_opponent)
else:
possible_Copps[new_team].remove(new_opponent)
if len(Copps[new_team]) < 2:
infeasible = True
break
while(len(Dopps[new_team]) < 2 and len(possible_Dopps[new_team]) > 0):
new_opponent = random.choice(possible_Dopps[new_team])
if len(Copps[new_opponent]) < 2:
if check_feasible(fixed_games+[(new_team,new_opponent)]):
Dopps[new_team].append(new_opponent)
Copps[new_opponent].append(new_team)
fixed_games.append((new_team,new_opponent))
possible_Dopps[new_team].remove(new_opponent)
else:
possible_Dopps[new_team].remove(new_opponent)
if len(Dopps[new_team]) < 2:
infeasible = True
break
while(potD):
new_team = potD.pop(random.randint(0,len(potD)-1))
while(len(Dopps[new_team]) < 2 and len(possible_Dopps[new_team]) > 0):
new_opponent = random.choice(possible_Dopps[new_team])
if len(Dopps[new_opponent]) < 2:
if check_feasible(fixed_games+[(new_team,new_opponent)]):
Dopps[new_team].append(new_opponent)
Dopps[new_opponent].append(new_team)
fixed_games.append((new_team,new_opponent))
possible_Dopps[new_team].remove(new_opponent)
else:
possible_Dopps[new_team].remove(new_opponent)
if len(Dopps[new_team]) < 2:
infeasible = True
break
if infeasible:
print("PROBLEM!!!!!")
exit()
else:
with open('verteilung_draw2.csv', "a") as f:
for t in teams:
f.write(f"{i},{t['id']},{';'.join([str(a) for a in Aopps[t['id']]])},{';'.join([str(a) for a in Bopps[t['id']]])},{';'.join([str(a) for a in Copps[t['id']]])},{';'.join([str(a) for a in Dopps[t['id']]])}\n")
# %%