209 lines
8.2 KiB
Python
Executable File
209 lines
8.2 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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from leagues import settings
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# settings.DATABASES['default']['NAME'] = PROJECT_PATH+'/db.sqlite3'
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settings.DATABASES['default']['ENGINE'] = 'django.db.backends.postgresql_psycopg2'
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settings.DATABASES['default']['HOST'] = '0.0.0.0'
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settings.DATABASES['default']['PORT'] = '5432'
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settings.DATABASES['default']['USER'] = 'postgres'
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settings.DATABASES['default']['PASSWORD'] = 'secret123'
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settings.DATABASES['default']['NAME'] = 'mypgsqldb'
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settings.DATABASES['default']['ATOMIC_REQUESTS'] = False
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settings.DATABASES['default']['AUTOCOMMIT'] = True
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settings.DATABASES['default']['CONN_MAX_AGE'] = 0
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settings.DATABASES['default']['CONN_HEALTH_CHECKS'] = False
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settings.DATABASES['default']['OPTIONS'] = {}
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os.environ["XPRESSDIR"] = "/opt/xpressmp"
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os.environ["XPRESS"] = "/opt/xpressmp/bin"
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os.environ["LD_LIBRARY_PATH"] = os.environ["XPRESSDIR"] + "/lib"
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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"
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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.pathsep + os.environ["CLASSPATH"]
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os.environ["CLASSPATH"] = os.environ["XPRESSDIR"] + "/lib/xprm.jar" + os.pathsep + os.environ["CLASSPATH"]
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os.environ["PATH"] = os.environ["XPRESSDIR"] + "/bin" + os.pathsep + os.environ["PATH"]
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import django
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django.setup()
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from scheduler.models import *
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import pulp
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from pulp import lpSum, value, XPRESS, GUROBI, PULP_CBC_CMD
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from django.db.models import Q
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from django.template.loader import render_to_string
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from qualifiers.models import *
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from common.models import GlobalTeam, GlobalCountry
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from scheduler.models import Season, Scenario, Team, DayObj, CountryClash, Country
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from qualifiers.draws import groupTeams, optimize_inversions4
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from scheduler.solver.optimizer import optimize_2phases
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from scheduler.solver.tasks.optimize import optimize
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from draws.solver.optimize_draws import ucl24_ha_matrix, ucl24_opponent_matrix
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from django.template.loader import render_to_string
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from django.core.files.storage import FileSystemStorage
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from django.utils.translation import gettext_lazy as _
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# from gurobipy import *
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import pulp
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from pulp import lpSum, value, XPRESS_PY, XPRESS, GUROBI, PULP_CBC_CMD
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from math import sqrt,pow,sin,cos,atan2,pi, ceil
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from collections import defaultdict
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import timeit
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import datetime
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import operator
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import random
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import time
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import copy
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# from os import dup, dup2, close, path
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import os
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from importlib import import_module
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import builtins as __builtin__
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import logging
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import networkx as nx
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import json
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import string
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import hashlib
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from scheduler.models import *
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from leagues.celery import celery, TASK_TIME_LIMIT
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from leagues.settings import PULP_FOLDER
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from scheduler.helpers import serialize_scenario, report_solverstatus
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from scheduler.solver.functions import *
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from scheduler.solver.tasks.optimize_localsearch import smartNeighbor
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from scheduler.solver.tasks.optimize_submodels import ucl24_basicmodell, ueluecl24_basicmodell, ueluecl24_basicmodell_v2
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from scheduler.helpers import copy_scenario
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from draws.solver.optimize_draws import ucl24_ha_matrix
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# from research.learners import AttendanceLearner
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from sklearn.model_selection import train_test_split
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from sklearn.ensemble import RandomForestRegressor
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from sklearn.ensemble import GradientBoostingRegressor
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import random
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import time
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import json
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import csv
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import networkx as nx
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import matplotlib.pyplot as plt
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from datetime import timedelta
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from django.contrib.sessions.models import Session
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def getVal(v):
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if type(v) == int :
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return v
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else:
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return v.value()
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# basescenario = Scenario.objects.get(id=9306)
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basescenario = Scenario.objects.get(id=9279)
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# scenario = Scenario.objects.get(id=9308)
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s2 = basescenario.id
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user_name = 'md'
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user_is_staff = True
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runMode = 'New'
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localsearch_time = 60
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RUN_ENV = 'local'
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SOLVER = 'xpress'
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# %%
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Scenario.objects.filter(season=basescenario.season,name__contains="Copy of BaseScenario").delete()
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season = basescenario.season
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print("START SIMULATION")
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for counter in range(1,50):
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name = f"Copy of BaseScenario {counter:03d}"
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scenario = copy_scenario(basescenario, name=name, comment="")
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print(f"COPY SCENARIO {name}")
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scenario.last_modified = timezone.now()
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scenario.last_modified_by = None
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scenario.save()
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# %%
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# print("RANDOM DRAW")
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# GameRequirement.objects.filter(scenario=scenario).delete()
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# if season.optimizationParameters == 'UCL24':
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# ucl24_ha_matrix(scenario.id)
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# elif season.optimizationParameters == "UEL24":
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# ucl24_ha_matrix(scenario.id,"UEL")
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# ucl24_opponent_matrix(scenario,"UECL")
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# print("DONE")
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# %%
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# # UPDATE TOPGAMES
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# encgroups = EncGroup.objects.filter(scenario=scenario)
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# Encounter.objects.filter(scenario=scenario).delete()
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# for game in GameRequirement.objects.filter(scenario=scenario):
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# if game.team1.attractivity >= 4 or game.team2.attractivity >= 4:
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# if game.team1.attractivity >= 4 and game.team2.attractivity >= 4:
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# enc = Encounter(scenario=scenario,encounterGroup=encgroups.get(name="Top Games"))
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# elif game.team1.attractivity >= 4:
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# if game.team1.countryObj.shortname == "ENG":
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# enc = Encounter(scenario=scenario,encounterGroup=encgroups.get(name="England top games"))
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# if game.team1.countryObj.shortname == "FRA":
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# enc = Encounter(scenario=scenario,encounterGroup=encgroups.get(name="France top games"))
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# if game.team1.countryObj.shortname == "GER":
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# enc = Encounter(scenario=scenario,encounterGroup=encgroups.get(name="German top games"))
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# if game.team1.countryObj.shortname == "ITA":
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# enc = Encounter(scenario=scenario,encounterGroup=encgroups.get(name="Italian top games"))
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# if game.team1.countryObj.shortname == "ESP":
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# enc = Encounter(scenario=scenario,encounterGroup=encgroups.get(name="Spain top games"))
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# elif game.team2.attractivity >= 4:
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# if game.team2.countryObj.shortname == "ENG":
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# enc = Encounter(scenario=scenario,encounterGroup=encgroups.get(name="England top games"))
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# if game.team2.countryObj.shortname == "FRA":
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# enc = Encounter(scenario=scenario,encounterGroup=encgroups.get(name="France top games"))
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# if game.team2.countryObj.shortname == "GER":
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# enc = Encounter(scenario=scenario,encounterGroup=encgroups.get(name="German top games"))
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# if game.team2.countryObj.shortname == "ITA":
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# enc = Encounter(scenario=scenario,encounterGroup=encgroups.get(name="Italian top games"))
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# if game.team2.countryObj.shortname == "ESP":
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# enc = Encounter(scenario=scenario,encounterGroup=encgroups.get(name="Spain top games"))
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# enc.save()
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# enc.homeTeams.add(game.team1)
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# enc.awayTeams.add(game.team2)
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print("STARTING OPTIMIZATION")
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try:
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sol,kpis = optimize(task=None,s2=scenario.id, user_name=user_name, user_is_staff=user_is_staff,
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runMode='New', localsearch_time=0, RUN_ENV=RUN_ENV, solver=SOLVER)
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print("########################################")
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print("AFTER NEW RUN")
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print(kpis)
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print("########################################")
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sol,kpis = optimize(task=None,s2=scenario.id, user_name=user_name, user_is_staff=user_is_staff,
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runMode='Improve', localsearch_time=localsearch_time, RUN_ENV=RUN_ENV, solver=SOLVER)
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print("########################################")
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print("AFTER IMPROVE")
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print(kpis)
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print("########################################")
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except:
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print("\t\tERROR")
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pass
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