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run_pygenetic.py
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"""Run pygenetic GA analysis."""
import pandas as pd
import random
import copy
from datetime import datetime, timedelta
from contextlib import suppress
from pygenetic import Utils
from csh_fantasy_bot.ga import RosterChangeSetFactory, fitness, RandomWeightedSelector, CeleryFitnessGAEngine, ScoringType
from csh_fantasy_bot.bot import ManagerBot
from csh_fantasy_bot.league import FantasyLeague
from csh_fantasy_bot.roster_change_optimizer import RosterException, RosterChangeSet
from csh_fantasy_bot.celery_app import app
# this will hold player ids of players which can be dropped as overrides to the drop selection criteria
white_list = {
# '403.l.41177': [6759],
'411.l.85094': [],
}
# this will hold player ids of players which can't be dropped as overrides to the drop selection criteria
black_list = {
# '403.l.41177': [4684, 5696],
'411.l.85094': [],
}
def do_run(week=5, league_id='403.l.41177', population_size=500):
"""Run the algorithm."""
week = 14
league_id = '419.l.90115'
# league_id = "403.l.18782"
scoring=ScoringType.opponent
# can override opponent. useful for playoffs
opponent = None #"403.l.41177.t.4"
simulation_mode = False
manager: ManagerBot = ManagerBot(week=week, simulation_mode=False,league_id=league_id)
league: FantasyLeague = manager.lg
team_key = league.team_key()
my_team_id = int(team_key.split('.')[-1])
date_range = pd.date_range(*league.week_date_range(week))
# this will retrieve rosters as of now
league = league.as_of(datetime.now())
league_scoring_categories = league.scoring_categories()
rostering_columns = ['eligible_positions', 'team_id', 'fpts', 'fantasy_status'] + league_scoring_categories
game_week = manager.game_week(week)
if opponent:
game_week.override_opponent(opponent)
projected_stats = game_week.all_player_predictions
addable_players = projected_stats[ (projected_stats.fantasy_status == 'FA') &
(projected_stats.status != 'O') &
(projected_stats.status != 'IR') &
(projected_stats.fantasy_status != my_team_id) &
(projected_stats.percent_owned > 5)]
add_selector = RandomWeightedSelector(addable_players,'fpts')
droppable_players = projected_stats[(((projected_stats.fantasy_status == my_team_id) &
((projected_stats.percent_owned < 92) |
(projected_stats.status != 'IR') &
(projected_stats.index.isin(white_list.get(league_id,[]))))) &
~(projected_stats.index.isin(black_list.get(league_id,[]))))
] # & (projected_stats.fpts < 1)
drop_selector = RandomWeightedSelector(droppable_players, 'fpts', inverse=True)
# valid dates are next day we can make changes for to end of fantasy week
first_add = datetime.strptime(league.settings()['edit_key'], "%Y-%m-%d")
# TODO hack because we don't handle dates correctly yet
if league_id == "419.l.90115":
first_add += timedelta(days=1)
# can't be before start of week
if first_add < date_range[0]:
first_add = date_range[0]
valid_roster_change_dates = pd.date_range(first_add,date_range[-1])
num_allowed_player_adds = int(league.settings()['max_weekly_adds']) - league.num_moves_made(week=week)
if num_allowed_player_adds == 0:
print("No roster changes left, no need to run.")
return
factory = RosterChangeSetFactory(projected_stats[rostering_columns], valid_roster_change_dates, num_moves=num_allowed_player_adds, add_selector=add_selector, drop_selector=drop_selector)
gea = CeleryFitnessGAEngine(factory=factory,population_size=population_size,
cross_prob=0.5,mut_prob = 0.1, adaptive_mutation=False)
def mutate(chromosome, add_selector, drop_selector, date_range, scoring_categories):
if len(chromosome.roster_changes) == 0:
# nothing to mutate here
return chromosome
# let's pick one of the roster changes to mutate
roster_change_to_mutate_index = random.randint(1, len(chromosome.roster_changes)) - 1
roster_change_to_mutate = chromosome.roster_changes[roster_change_to_mutate_index]
RANGE_EXCLUDES_DATES = 50
# won't try and mutate date if there is not more than 1 valid date
random_number = random.randint(1 if len(date_range) > 1 else RANGE_EXCLUDES_DATES, 100)
if random_number < 40:
# lets mutate date
while True:
drop_date = date_range[random.choice(range(len(date_range)))].date()
if drop_date != roster_change_to_mutate.change_date:
with suppress(RosterException):
chromosome.replace(roster_change_to_mutate, roster_change_to_mutate._replace(change_date=drop_date))
break
elif random_number < RANGE_EXCLUDES_DATES:
# lets mutate player out
for _ in range(50):
player_to_remove = drop_selector.select().index.values[0]
if not any(rc.out_player_id == player_to_remove for rc in chromosome.roster_changes):
with suppress(RosterException):
chromosome.replace(roster_change_to_mutate, roster_change_to_mutate._replace(out_player_id=player_to_remove))
break
elif random_number < 95:
# lets mutate player in
for _ in range(50):
plyr = add_selector.select()
player_id = plyr.index.values[0]
if (plyr['position_type'] == 'G').values[0] or (player_id in [rc.in_player_id for rc in chromosome.roster_changes]):
continue
if not any(player_id == rc.in_player_id for rc in chromosome.roster_changes):
with suppress(RosterException):
chromosome.replace(roster_change_to_mutate, roster_change_to_mutate._replace(in_player_id=player_id, in_projections=plyr[scoring_categories + ['eligible_positions', 'team_id', 'fpts']]))
break
else:
if len(chromosome.roster_changes) > 1:
del (chromosome.roster_changes[roster_change_to_mutate_index])
return chromosome
def crossover(changeset_1, changeset_2, league):
mates = [changeset_1, changeset_2]
if any(len(change.roster_changes) < 2 for change in mates):
return (changeset_1, changeset_2)
changes_to_remove = None
num_roster_changes_to_remove = 0
# let's remove second 1/2 of roster changes in first parent. will add those to other parent.
if len(mates[0]) > 1:
num_roster_changes_to_remove = 1
changes_to_remove = random.choice(mates[0])
changes_to_remove_2 = None
num_roster_changes_to_remove_2 = 0
if len(mates[1]) > 1:
num_roster_changes_to_remove_2 = 1
changes_to_remove_2 = random.choice(mates[1])
offspring = []
offspring1 = copy.copy(mates[0])
if changes_to_remove is not None or changes_to_remove_2 is not None:
try:
offspring1.replace(changes_to_remove, changes_to_remove_2)
if len(offspring1) == 0:
offspring1 = mates[0]
else:
offspring1.score = None
except RosterException as e:
offspring1 = mates[0]
offspring.append(offspring1)
offspring2 = copy.copy(mates[1])
try:
offspring2.replace(changes_to_remove_2, changes_to_remove)
if len(offspring2) == 0:
offspring2 = mates[1]
else:
offspring2.score = None
except RosterException as e:
offspring2 = mates[1]
offspring.append(offspring2)
else:
offspring = [mates[0], mates[1]]
return offspring[0], offspring[1]
gea.addCrossoverHandler(crossover,1,league)
gea.addMutationHandler(mutate, 2, add_selector, drop_selector, valid_roster_change_dates, league_scoring_categories)
# & (projected_stats.status != "IR")
all_players = projected_stats[(projected_stats.position_type == "P") ].loc[:,rostering_columns]
gea.setFitnessHandler(fitness, all_players, date_range, league_scoring_categories, game_week.score_comparer, team_key, game_week.opponent.scores()[league_scoring_categories].sum().to_dict(), scoring)
gea.setSelectionHandler(Utils.SelectionHandlers.best)
gea.evolve(5)
rcs, score = gea.best_fitness
rcs.pretty_print(score,projected_stats)
for _ in range(20):
gea.continue_evolve(1)
print("hall of fame:")
rcs, score = gea.best_fitness
rcs.pretty_print(score,projected_stats)
print(game_week.score_comparer.score(rcs.scoring_summary))
if __name__ == "__main__":
do_run()