401 lines
10 KiB
Python
Executable File
401 lines
10 KiB
Python
Executable File
# %%
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PROJECT_PATH = '/home/md/Work/ligalytics/leagues_stable/'
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import os, sys
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sys.path.insert(0, PROJECT_PATH)
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os.environ.setdefault("DJANGO_SETTINGS_MODULE", "leagues.settings")
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os.environ["DJANGO_ALLOW_ASYNC_UNSAFE"] = "true"
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import random
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import time
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# XPRESS ENVIRONMENT
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os.environ['XPRESSDIR'] = "/opt/xpressmp_8.4"
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os.environ['XPRESS'] = "/opt/xpressmp_8.4/bin"
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os.environ['LD_LIBRARY_PATH'] = os.environ['XPRESSDIR']+"/lib:"+os.environ['LD_LIBRARY_PATH']
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os.environ['DYLD_LIBRARY_PATH'] = os.environ['XPRESSDIR']+"/lib:"
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os.environ['SHLIB_PATH'] = os.environ['XPRESSDIR']+"/lib:"
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os.environ['LIBPATH'] = os.environ['XPRESSDIR']+"/lib:"
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# os.environ['PYTHONPATH'] =os.environ['XPRESSDIR']+"/lib:"+os.environ['PYTHONPATH']
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os.environ['PYTHONPATH'] =os.environ['XPRESSDIR']+"/lib:"
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os.environ['CLASSPATH'] =os.environ['XPRESSDIR']+"/lib/xprs.jar:"
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os.environ['CLASSPATH'] =os.environ['XPRESSDIR']+"/lib/xprb.jar:"+os.environ['CLASSPATH']
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os.environ['CLASSPATH'] =os.environ['XPRESSDIR']+"/lib/xprm.jar:"+os.environ['CLASSPATH']
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os.environ['PATH'] =os.environ['XPRESSDIR']+"/bin:"+os.environ['PATH']
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from leagues import settings
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settings.DATABASES['default']['NAME'] = PROJECT_PATH+'/db.sqlite3'
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import django
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django.setup()
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from scheduler.models import *
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from pulp import *
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import csv
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import xpress as xp
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xp.controls.outputlog = 0
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scenario = Scenario.objects.get(id=32)
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# %%
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order = {}
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order['FC Bayern München'] = 1
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order['Manchester City FC'] = 2
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order['Liverpool FC'] = 3
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order['Real Madrid CF'] = 4
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order['Chelsea FC'] = 5
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order['FC Barcelona'] = 6
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order['Paris Saint-Germain'] = 7
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order['Juventus'] = 8
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order['Club Atlético de Madrid'] = 9
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order['Sevilla FC'] = 10
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order['RB Leipzig'] = 11
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order['Tottenham Hotspur'] = 12
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order['AFC Ajax'] = 13
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order['FC Porto'] = 14
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order['Arsenal FC'] = 15
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order['Borussia Dortmund'] = 16
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order['FC Salzburg'] = 17
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order['FC Shakhtar Donetsk'] = 18
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order['FC Internazionale Milano'] = 19
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order['SSC Napoli'] = 20
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order['Eintracht Frankfurt'] = 21
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order['SL Benfica'] = 22
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order['Sporting Clube de Portugal'] = 23
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order['Bayer 04 Leverkusen'] = 24
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order['Rangers FC'] = 25
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order['GNK Dinamo'] = 26
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order['FK Crvena zvezda'] = 27
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order['Olympique de Marseille'] = 28
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order['F.C. Copenhagen'] = 29
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order['Club Brugge'] = 30
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order['AC Milan'] = 31
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order['PSV Eindhoven'] = 32
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order['Celtic FC'] = 33
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order['FC Viktoria Plzeň'] = 34
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order['AS Monaco'] = 35
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order['Maccabi Haifa FC'] = 36
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# %%
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teams = Team.objects.filter(season=scenario.season,active=True).order_by('pot','country')
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countries = list(set(list(teams.values_list('country', flat=True))))
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# print(countries)
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# %%
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getTeamByID = {
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t.id:t for t in teams
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}
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getPotByID = {
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t.id:t.pot for t in teams
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}
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getTeamByName = {
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t.name:t for t in teams
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}
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getCountryByTeamID = {
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t.id:t.country for t in teams
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}
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played_countries = {
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(t1, c):0 for c in countries for t1 in teams
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}
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stats = {
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(t1,t2):0 for t1 in teams for t2 in teams
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}
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random_stats = {
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(t1,t2):0 for t1 in teams for t2 in teams
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}
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pots = {
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t1:{
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p:0 for p in range(1,5)
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}
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for t1 in teams
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}
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simulations = 0
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maxVal = 1
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minVal = 99999999
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maxCVal = 1
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minCVal = 9999999
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with open('verteilung_draw2.csv', newline='') as csvfile:
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# with open('verteilung_random.csv', newline='') as csvfile:
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reader = csv.reader(csvfile)
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next(reader, None)
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for row in reader:
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simulations = int(row[0])
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team = getTeamByID[int(row[1])]
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Aopps = [getTeamByID[int(t)] for t in row[2].split(";")]
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for o in Aopps:
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stats[team,o] += 1
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pots[team][getPotByID[o.id]] += 1
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played_countries[team,o.country] += 1
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Bopps = [getTeamByID[int(t)] for t in row[3].split(";")]
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for o in Bopps:
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stats[team,o] += 1
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pots[team][getPotByID[o.id]] += 1
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played_countries[team,o.country] += 1
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Copps = [getTeamByID[int(t)] for t in row[4].split(";")]
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for o in Copps:
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stats[team,o] += 1
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pots[team][getPotByID[o.id]] += 1
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played_countries[team,o.country] += 1
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Dopps = [getTeamByID[int(t)] for t in row[5].split(";")]
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for o in Dopps:
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stats[team,o] += 1
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pots[team][getPotByID[o.id]] += 1
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played_countries[team,o.country] += 1
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if stats[team,o] > maxVal:
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maxVal = stats[team,o]
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if played_countries[team,o.country] > maxCVal:
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maxCVal = played_countries[team,o.country]
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# with open('verteilung_draw.csv', newline='') as csvfile:
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with open('verteilung_random.csv', newline='') as csvfile:
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reader = csv.reader(csvfile)
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next(reader, None)
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for row in reader:
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# simulations = int(row[0])
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team = getTeamByID[int(row[1])]
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Aopps = [getTeamByID[int(t)] for t in row[2].split(";")]
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for o in Aopps:
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random_stats[team,o] += 1
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# pots[team][getPotByID[o.id]] += 1
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# played_countries[team,o.country] += 1
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Bopps = [getTeamByID[int(t)] for t in row[3].split(";")]
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for o in Bopps:
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random_stats[team,o] += 1
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# pots[team][getPotByID[o.id]] += 1
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# played_countries[team,o.country] += 1
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Copps = [getTeamByID[int(t)] for t in row[4].split(";")]
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for o in Copps:
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random_stats[team,o] += 1
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# pots[team][getPotByID[o.id]] += 1
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# played_countries[team,o.country] += 1
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Dopps = [getTeamByID[int(t)] for t in row[5].split(";")]
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for o in Dopps:
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random_stats[team,o] += 1
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# pots[team][getPotByID[o.id]] += 1
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# played_countries[team,o.country] += 1
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diff = {}
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mindval = 999999
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maxdval = 0
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for key in random_stats.keys():
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diff[key] = stats[key]/simulations - random_stats[key]/simulations
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if diff[key] > maxdval:
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maxdval = diff[key]
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if diff[key] > 0 and diff[key] < mindval:
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mindval = diff[key]
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for key, val in stats.items():
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if val > 0 and val < minVal:
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minVal = val
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print(minVal)
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for key, val in played_countries.items():
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if val > 0 and val < minCVal:
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minCVal = val
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# for t in pots:
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# print(t,pots[t])
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def heatmap_color_for(value):
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if value <= 0.5:
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g = 256
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r = 2 * max(0,value) * 256
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if value > 0.5:
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g = 2*(1-min(1,value))*256
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r = 256
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return f"rgb({r},{g},{0})"
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sol = " \
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<style> \
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table, th, td { \
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border: 1px solid black; \
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border-collapse: collapse; \
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text-align: center; \
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min-width:40px; \
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padding:3px; \
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margin: 3px; \
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font-family : Arial;\
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} \
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h1 {\
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font-family : Arial;\
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}\
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\
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#etable td:nth-child(10),#etable th:nth-child(10) { border-right: 5px solid black; }\
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#etable td:nth-child(19),#etable th:nth-child(19) { border-right: 5px solid black; }\
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#etable td:nth-child(28),#etable th:nth-child(28) { border-right: 5px solid black; }\
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tr:nth-child(9) { border-bottom: 5px solid black; }\
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tr:nth-child(18) { border-bottom: 5px solid black; }\
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tr:nth-child(27) { border-bottom: 5px solid black; }\
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</style> \
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"
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sol += "<h1>Probabilities of games</h1>"
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sol += "<table id='etable' style='border:1px solid black'>\n"
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sol += "<thead>\n"
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sol += "<tr>"
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sol += "<th></th>"
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sol += "<th colspan=9 style='border-right: 5px solid black;'>Pot A</th>"
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sol += "<th colspan=9 style='border-right: 5px solid black;'>Pot B</th>"
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sol += "<th colspan=9 style='border-right: 5px solid black;'>Pot C</th>"
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sol += "<th colspan=9>Pot D</th>"
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sol += "</tr>"
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sol += "<tr>\n"
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sol += f"<th>n = {simulations+1}</th>\n"
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# for o in order:
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for t in teams:
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# t = getTeamByName[o]
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sol += f"<th>{t.shortname}</th>\n"
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sol += "</tr>\n"
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sol += "</thead>\n"
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sol += "<tbody>\n"
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# for o1 in order:
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for t1 in teams:
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# t1 = getTeamByName[o1]
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sol += "<tr>\n"
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sol += f"<td>{t1.shortname}</td>"
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# for o2 in order:
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for t2 in teams:
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# t2 = getTeamByName[o2]
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color = heatmap_color_for((stats[t1,t2]-minVal)/(maxVal-minVal))
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if stats[t1,t2] == 0:
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color = 'grey'
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val = f"{round(round(stats[t1,t2]/simulations,2)*100)}%"
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# val = stats[t1,t2]
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sol += f"<td style='background-color:{color}'>{val}</td>"
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sol += "</tr>\n"
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sol += "</tbody>\n"
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sol += "</table>\n"
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sol += "<br>"
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sol += "<br>"
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sol += "<br>"
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sol += "<h1>Average number of Games against other countries</h1>"
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sol += "<table style='border:1px solid black'>\n"
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sol += "<thead>\n"
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sol += "<tr>"
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sol += "<tr>\n"
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sol += f"<th>n = {simulations+1}</th>\n"
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for c in countries:
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sol += f"<th>{c}</th>\n"
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sol += "</tr>\n"
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sol += "</thead>\n"
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sol += "<tbody>\n"
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# for o1 in order:
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for t1 in teams:
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# t1 = getTeamByName[o1]
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sol += "<tr>\n"
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sol += f"<td>{t1.shortname}</td>"
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for c in countries:
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# color = heatmap_color_for((played_countries[t1,c]-minCVal)/(maxCVal-minCVal))
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color = 'lightsteelblue'
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if played_countries[t1,c] == 0:
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color = 'grey'
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# val = f"{round(round(played_played_countries[t1][c]/simulations,2)*100)}%"
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val = f"{round(played_countries[t1,c]/(simulations+1),2)}"
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# val = stats[t1,t2]
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sol += f"<td style='background-color:{color}'>{val}</td>"
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sol += "</tr>\n"
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sol += "</tbody>\n"
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sol += "</table>\n"
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sol += "<br>"
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sol += "<br>"
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sol += "<br>"
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sol += "<h1>Draw procedure compared to evenly distributed encounters</h1>"
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sol += "<table style='border:1px solid black'>\n"
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sol += "<thead>\n"
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sol += "<tr>\n"
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sol += f"<th>n = {simulations+1}</th>\n"
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# for o in order:
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for t in teams:
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# t = getTeamByName[o]
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sol += f"<th>{t.shortname}</th>\n"
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sol += "</tr>\n"
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sol += "</thead>\n"
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sol += "<tbody>\n"
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# for o1 in order:
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for t1 in teams:
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# t1 = getTeamByName[o1]
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sol += "<tr>\n"
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sol += f"<td>{t1.shortname}</td>"
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# for o2 in order:
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for t2 in teams:
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# t2 = getTeamByName[o2]
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color = heatmap_color_for((abs(diff[t1,t2])-mindval)/(maxdval-mindval))
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if stats[t1,t2] == 0:
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color = 'grey'
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val = f"{diff[t1,t2]}%"
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# val = stats[t1,t2]
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sol += f"<td style='background-color:{color}'>{round(round(diff[t1,t2],2)*100)}%</td>"
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sol += "</tr>\n"
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sol += "</tbody>\n"
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sol += "</table>\n"
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with open(f'stats.html', 'w') as f:
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f.write(sol)
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# %%
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