Files
skillbird/StorrageBackend.py
2019-06-04 19:29:31 +02:00

147 lines
4.9 KiB
Python

import Player
import TrueSkillWrapper as TS
from fuzzywuzzy import fuzz
from datetime import datetime, timedelta
known_players = dict()
# care for cpu load #
player_ranks = dict()
last_rank_update = datetime.now()
def _get_known_players():
return known_players
#############################################################
###################### Save/Load File #######################
#############################################################
def load_save():
with open("score.log") as f:
for l in f:
p = Player.PlayerFormDatabase(l)
known_players[p.steamid] = p
def save_to_file(fname="score.log"):
with open(fname,"w") as f:
for p in known_players.values():
f.write(p.toCSV()+'\n')
#############################################################
###################### SyncPlayerDict #######################
#############################################################
def sync_from_database(players):
for p in players:
#print("BKnP: {}".format(p))
if p in known_players:
#print("KnP: {}".format(p))
p.rating = known_players[p].rating
if type(players) == dict:
players[p] = p.rating
else:
lastUpdate = datetime.now()
known_players.update(\
{ Player.DummyPlayer(p.steamid, p.name) : \
Player.PlayerForDatabase(None, None, None, player=p, lastUpdate=lastUpdate)\
})
def sync_to_database(players, win):
for p in players:
known_players[p].rating = players[p]
if win:
known_players[p].wins += 1
known_players[p].games += 1
known_players[p].lastUpdate = datetime.now()
updatePlayerRanks()
#############################################################
##################### Handle Rank Cache #####################
#############################################################
def updatePlayerRanks(force=False):
global last_rank_update
global player_ranks
if force or last_rank_update - datetime.now() > timedelta(seconds=240):
last_rank_update = datetime.now()
s = sorted(known_players.values(), key=lambda x: TS.get_env().expose(x.rating),reverse=True)
now = datetime.now()
s = filter(lambda p: now - p.lastUpdate < timedelta(days=60), s)
rank = 1
for p in s:
if p in player_ranks:
player_ranks[p] = rank
else:
player_ranks.update({p:rank})
rank += 1
#############################################################
################## Write/Load External DB ###################
#############################################################
def save_event(event):
return
def save_psql():
f=open("pass.secret",'r')
pw=f.readline().strip();
f.close()
PSQL.save("insurgency", "insurgencyUser", "localhost", pw, known_players)
#############################################################
###################### Python API ###########################
#############################################################
def fuzzy_find_player(name):
ret = ""
tup_list = []
TS.lock()
try:
for p in known_players.values():
sim = fuzz.token_set_ratio(name.lower(),p.name.lower())
tup_list += [(sim,p)]
finally:
TS.unlock()
tmp = sorted(tup_list, key=lambda x: x[0], reverse=True)
return list(filter(lambda x: x[0] > 80, tmp))
def get_player_rank(p):
global player_ranks
try:
return str(player_ranks[p])
except KeyError:
return "N/A"
def dumpRatings(top=0, forceMeanSort=False, enforceWhitelist=None):
global known_players
ret = ""
updatePlayerRanks(force=True)
if forceMeanSort:
sort = sorted(known_players.values(), \
key=lambda x: x.rating.mu,reverse=True)
else:
sort = sorted(known_players.values(), \
key=lambda x: TS.get_env().expose(x.rating),reverse=True)
if enforceWhitelist:
sort = list(filter(lambda x: x.name in enforceWhitelist, sort))
tmp = ["{} {} mean: {} var: {} WinRatio: {}% ({} Games)".format( \
x.get_name().ljust(30), \
str(int(TS.get_env().expose(x.rating))).rjust(5), \
str(int(x.rating.mu)).rjust(4), \
str(int(x.rating.sigma)).rjust(4),x.winratio().rjust(4), \
str(x.games).rjust(3)) \
for x in sort]
if top != 0:
tmp = tmp[:top]
count = 0
for s in tmp:
count += 1
ret += ("Rank: "+str(count).rjust(4) +" " + s + "\n")
return ret