def best_transfer_suggestions(n_transfer, session_id, dbsession=DBSESSION):
"""
Use our predicted playerscores to suggest the best transfers.
"""
n_transfer = int(n_transfer)
if not n_transfer in range(1,3):
raise RuntimeError("Need to choose 1 or 2 transfers")
if not validate_session_squad(session_id, dbsession):
raise RuntimeError("Cannot suggest transfer without complete squad")
budget = get_session_budget(session_id, dbsession)
players = [p["id"] for p in get_session_players(session_id, dbsession)]
t = Team(budget)
for p in players:
added_ok = t.add_player(p)
if not added_ok:
raise RuntimeError("Cannot add player {}".format(p))
pred_tag = get_latest_prediction_tag()
gw=get_next_gameweek(CURRENT_SEASON, dbsession)
if n_transfer == 1:
new_team, pid_out, pid_in = make_optimum_transfer(t, pred_tag)
elif n_transfer == 2:
new_team, pid_out, pid_in = make_optimum_double_transfer(t, pred_tag)
return {
"transfers_out": pid_out,
"transfers_in": pid_in
}
def get_session_predictions(session_id, dbsession=DBSESSION):
"""
Query the fixture and predictedscore tables for all
players in our session squad
"""
pids = [p["id"] for p in get_session_players(session_id, dbsession)]
pred_tag = get_latest_prediction_tag()
gw = get_next_gameweek(CURRENT_SEASON, dbsession)
pred_scores = {}
for pid in players:
pred_scores[pid] = get_session_prediction(pid, session_id, gw,
pred_tag, dbsession)
return pred_scores
def get_session_prediction(player_id, session_id,
gw=None, pred_tag=None,
dbsession=DBSESSION):
"""
Query the fixture and predictedscore tables for a specified player
"""
if not gw:
gw = get_next_gameweek(CURRENT_SEASON, dbsession)
if not pred_tag:
pred_tag = get_latest_prediction_tag()
return_dict = {
"predicted_score": get_predicted_points_for_player(pid,
pred_tag,
CURRENT_SEASON,
dbsession)[gw],
"fixture": get_next_fixture_for_player(pid,CURRENT_SEASON,dbsession)
}
return return_dict
def fill_attributes_table_from_api(season, gw_start=1, dbsession=session):
"""
use the FPL API to get player attributes info for the current season
"""
fetcher = FPLDataFetcher()
next_gw = get_next_gameweek(season=season, dbsession=dbsession)
# needed for selected by calculation from percentage below
n_players = fetcher.get_current_summary_data()["total_players"]
input_data = fetcher.get_player_summary_data()
for player_api_id in input_data.keys():
# find the player in the player table
player = get_player_from_api_id(player_api_id, dbsession=dbsession)
if not player:
print("ATTRIBUTES {} No player found with id {}".format(
season, player_api_id))
continue
print("ATTRIBUTES {} {}".format(season, player.name))
# First update the current gameweek using the summary data
p_summary = input_data[player_api_id]
position = positions[p_summary["element_type"]]
pa = get_player_attributes(player.player_id,
season=season,
gameweek=next_gw,
dbsession=dbsession)
if pa:
# found pre-existing attributes for this gameweek
update = True
else:
# no attributes for this gameweek for this player yet
pa = PlayerAttributes()
update = False
pa.player = player
pa.player_id = player.player_id
pa.season = season
pa.gameweek = next_gw
pa.price = int(p_summary["now_cost"])
pa.team = get_team_name(p_summary["team"],
season=season,
dbsession=dbsession)
pa.position = positions[p_summary["element_type"]]
pa.selected = int(
float(p_summary["selected_by_percent"]) * n_players / 100)
pa.transfers_in = int(p_summary["transfers_in_event"])
pa.transfers_out = int(p_summary["transfers_out_event"])
pa.transfers_balance = pa.transfers_in - pa.transfers_out
pa.chance_of_playing_next_round = p_summary[
"chance_of_playing_next_round"]
pa.news = p_summary["news"]
if (pa.chance_of_playing_next_round is not None
and pa.chance_of_playing_next_round <= 50):
pa.return_gameweek = get_return_gameweek_from_news(
p_summary["news"],
season=season,
dbsession=dbsession,
)
if not update:
# only need to add to the dbsession for new entries, if we're doing
# an update the final dbsession.commit() is enough
dbsession.add(pa)
# now get data for previous gameweeks
if next_gw > 1:
player_data = fetcher.get_gameweek_data_for_player(player_api_id)
if not player_data:
print("Failed to get data for", player.name)
continue
for gameweek, data in player_data.items():
if gameweek < gw_start:
continue
for result in data:
# check whether there are pre-existing attributes to update
pa = get_player_attributes(
player.player_id,
season=season,
gameweek=gameweek,
dbsession=dbsession,
)
if pa:
update = True
else:
pa = PlayerAttributes()
update = False
# determine the team the player played for in this fixture
opponent_id = result["opponent_team"]
was_home = result["was_home"]
kickoff_time = result["kickoff_time"]
team = get_player_team_from_fixture(
gameweek,
opponent_id,
was_home,
kickoff_time,
season=season,
dbsession=dbsession,
)
pa.player = player
pa.player_id = player.player_id
pa.season = season
pa.gameweek = gameweek
pa.price = int(result["value"])
pa.team = team
pa.position = position # does not change during season
pa.transfers_balance = int(result["transfers_balance"])
pa.selected = int(result["selected"])
pa.transfers_in = int(result["transfers_in"])
pa.transfers_out = int(result["transfers_out"])
if not update:
# don't need to add to dbsession if updating pre-existing row
dbsession.add(pa)
break # done this gameweek now
def main():
"""
The main function, to be used as entrypoint.
"""
parser = argparse.ArgumentParser(
description="Try some different transfer strategies")
parser.add_argument("--weeks_ahead", help="how many weeks ahead", type=int)
parser.add_argument("--gw_start",
help="first gameweek to consider",
type=int)
parser.add_argument("--gw_end", help="last gameweek to consider", type=int)
parser.add_argument("--tag",
help="specify a string identifying prediction set")
parser.add_argument(
"--wildcard_week",
help="play wildcard in the specified week. Choose 0 for 'any week'.",
type=int,
default=-1,
)
parser.add_argument(
"--free_hit_week",
help="play free hit in the specified week. Choose 0 for 'any week'.",
type=int,
default=-1,
)
parser.add_argument(
"--triple_captain_week",
help=
"play triple captain in the specified week. Choose 0 for 'any week'.",
type=int,
default=-1,
)
parser.add_argument(
"--bench_boost_week",
help="play bench_boost in the specified week. Choose 0 for 'any week'.",
type=int,
default=-1,
)
parser.add_argument("--num_free_transfers",
help="how many free transfers do we have",
type=int)
parser.add_argument(
"--max_hit",
help="maximum number of points to spend on additional transfers",
type=int,
default=8,
)
parser.add_argument(
"--allow_unused",
help="if set, include strategies that waste free transfers",
action="store_true",
)
parser.add_argument(
"--num_iterations",
help="how many iterations to use for Wildcard/Free Hit optimization",
type=int,
default=100,
)
parser.add_argument("--num_thread",
help="how many threads to use",
type=int,
default=4)
parser.add_argument(
"--season",
help="what season, in format e.g. '2021'",
type=str,
default=CURRENT_SEASON,
)
parser.add_argument(
"--profile",
help="For developers: Profile strategy execution time",
action="store_true",
)
parser.add_argument(
"--fpl_team_id",
help="specify fpl team id",
type=int,
required=False,
)
args = parser.parse_args()
fpl_team_id = args.fpl_team_id or None
sanity_check_args(args)
season = args.season
# default weeks ahead is not specified (or gw_end is not specified) is three
if args.weeks_ahead:
gameweeks = get_gameweeks_array(args.weeks_ahead)
elif args.gw_start:
if args.gw_end:
gameweeks = list(range(args.gw_start, args.gw_end))
else:
gameweeks = list(range(args.gw_start, args.gw_start + 3))
else:
gameweeks = list(range(get_next_gameweek(), get_next_gameweek() + 3))
num_iterations = args.num_iterations
if args.num_free_transfers:
num_free_transfers = args.num_free_transfers
else:
num_free_transfers = None # will work it out in run_optimization
tag = args.tag or get_latest_prediction_tag(season=season)
max_total_hit = args.max_hit
allow_unused_transfers = args.allow_unused
num_thread = args.num_thread
profile = args.profile or False
chip_gameweeks = {
"wildcard": args.wildcard_week,
"free_hit": args.free_hit_week,
"triple_captain": args.triple_captain_week,
"bench_boost": args.bench_boost_week,
}
if not check_tag_valid(tag, gameweeks, season=season):
print(
"ERROR: Database does not contain predictions",
"for all the specified optimsation gameweeks.\n",
"Please run 'airsenal_run_prediction' first with the",
"same input gameweeks and season you specified here.",
)
sys.exit(1)
set_multiprocessing_start_method(num_thread)
with warnings.catch_warnings():
warnings.simplefilter("ignore", TqdmWarning)
run_optimization(
gameweeks,
tag,
season,
fpl_team_id,
chip_gameweeks,
num_free_transfers,
max_total_hit,
allow_unused_transfers,
2,
num_iterations,
num_thread,
profile,
)
def main():
"""
The main function, to be used as entrypoint.
"""
parser = argparse.ArgumentParser(
description="Try some different transfer strategies")
parser.add_argument("--weeks_ahead", help="how many weeks ahead", type=int)
parser.add_argument("--gw_start",
help="first gameweek to consider",
type=int)
parser.add_argument("--gw_end", help="last gameweek to consider", type=int)
parser.add_argument("--tag",
help="specify a string identifying prediction set")
parser.add_argument(
"--allow_wildcard",
help="include possibility of wildcarding in one of the weeks",
action="store_true",
)
parser.add_argument(
"--allow_free_hit",
help="include possibility of playing free hit in one of the weeks",
action="store_true",
)
parser.add_argument(
"--allow_triple_captain",
help=
"include possibility of playing triple captain in one of the weeks",
action="store_true",
)
parser.add_argument(
"--allow_bench_boost",
help="include possibility of playing bench boost in one of the weeks",
action="store_true",
)
parser.add_argument("--num_free_transfers",
help="how many free transfers do we have",
type=int)
parser.add_argument(
"--num_iterations",
help="how many iterations to use for Wildcard/Free Hit optimization",
type=int,
default=100,
)
parser.add_argument("--num_thread",
help="how many threads to use",
type=int,
default=4)
parser.add_argument(
"--season",
help="what season, in format e.g. '2021'",
type=str,
default=CURRENT_SEASON,
)
parser.add_argument(
"--profile",
help="For developers: Profile strategy execution time",
action="store_true",
)
args = parser.parse_args()
args_ok = sanity_check_args(args)
season = args.season
if args.weeks_ahead:
gameweeks = list(
range(get_next_gameweek(),
get_next_gameweek() + args.weeks_ahead))
else:
gameweeks = list(range(args.gw_start, args.gw_end))
num_iterations = args.num_iterations
if args.allow_wildcard:
wildcard = True
else:
wildcard = False
if args.allow_free_hit:
free_hit = True
else:
free_hit = False
if args.allow_triple_captain:
triple_captain = True
else:
triple_captain = False
if args.allow_bench_boost:
bench_boost = True
else:
bench_boost = False
if args.num_free_transfers:
num_free_transfers = args.num_free_transfers
else:
num_free_transfers = None # will work it out in run_optimization
if args.tag:
tag = args.tag
else:
## get most recent set of predictions from DB table
tag = get_latest_prediction_tag()
num_thread = args.num_thread
profile = args.profile if args.profile else False
run_optimization(
gameweeks,
tag,
season,
wildcard,
free_hit,
triple_captain,
bench_boost,
num_free_transfers,
num_iterations,
num_thread,
)