mirror of
https://github.com/FAUSheppy/skillbird
synced 2025-12-06 14:51:36 +01:00
146 lines
4.4 KiB
Python
146 lines
4.4 KiB
Python
import json
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import datetime as dt
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import dateutil.parser
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import backends.entities.Players as Players
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import backends.database as db
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## A comment on why the login-offset is nessesary ##
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## - losing teams tend to have players leaving and joining more rapidly
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## - every time a new player joins he has to setup
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## - new players are unfamiliar with postions of enemy team
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## - new players have to run from spawn
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## --> their impact factor (which is calculated from their active time) must account for that
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loginoffset = dt.timedelta(seconds=60)
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class Round:
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def __init__(self, winnerTeam, loserTeam, _map, duration, startTime, winnerSide):
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if duration <= dt.timedelta(0):
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raise ValueError("Duration cannot be zero")
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self.winners = winnerTeam
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self.losers = loserTeam
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self.winnerSide = winnerSide
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self.map = _map
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self.duration = duration
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self.start = startTime
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### Sync players from Databse ###
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for p in self.winners + self.losers:
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playerInDB = db.getOrCreatePlayer(p)
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p.rating = playerInDB.rating
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def normalized_playtimes(self):
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'''returns a dict-Object with {key=(teamid,player):value=player_time_played/total_time_of_round}'''
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np = dict()
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for p in self.winners:
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if self.duration == None:
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d = 1.0
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else:
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d = (p.activeTime-loginoffset)/self.duration
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if d < -1:
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raise AssertionError("Normalized Playtime was less than -1 ??")
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if d < 0:
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d = 0.0
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elif d > 1:
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d = 1.0
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np.update({(0,p):d})
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for p in self.losers:
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if self.duration == None:
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d = 1.0
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else:
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d = (p.activeTime-loginoffset)/self.duration
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if d < 0:
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d = 0.0
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elif d > 1:
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d = 1.0
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np.update({(1,p):d})
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return np
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def pt_difference(self):
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'''Used to check difference in playtimes per team'''
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if self.duration == None:
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return 1
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w1 = w2 = 0
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for p in self.winners:
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if p.is_fake:
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w1 += 1.0
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continue
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d = (p.activeTime-loginoffset)/self.duration
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if d < 0:
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d = 0.0
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elif d > 1:
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d = 1.0
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w1 += d
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for p in self.losers:
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d = (p.activeTime-loginoffset)/self.duration
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if p.is_fake:
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w2 += 1.0
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continue
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if d < 0:
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d = 0.0
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elif d > 1:
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d = 1.0
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w2 += d
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# no div0 plox
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if min(w1,w2) <= 0:
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return 0
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return max(w1,w2)/min(w1,w2)
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def toJson(self):
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winnersList = []
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losersList = []
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for w in self.winners:
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winnersList += [{ "playerId" : w.id,
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"playerName" : w.name,
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"isFake" : w.is_fake,
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"activeTime" : w.activeTime.total_seconds() }]
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for w in self.losers:
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losersList += [{ "playerId" : w.id,
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"playerName" : w.name,
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"isFake" : w.is_fake,
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"activeTime" : w.activeTime.total_seconds() }]
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retDict = { "winners" : winnersList,
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"losers" : losersList,
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"startTime" : self.start.isoformat(),
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"duration" : self.duration.total_seconds(),
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"map" : self.map,
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"winner-side" : self.winnerSide }
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return json.dumps(retDict)
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def fromJson(jsonDict):
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winnersList = []
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losersList = []
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timestamp = dateutil.parser.isoparse(jsonDict["startTime"])
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winnerTeam = jsonDict.get("winner-side")
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if not winnerTeam:
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winnerTeam = -1
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loserTeam = -2
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else:
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loserTeam = (winnerTeam % 2) + 2
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for p in jsonDict["winners"]:
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pObj = Players.PlayerInRound(p["playerId"], p["playerName"], winnerTeam, timestamp)
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pObj.activeTime = int(p["activeTime"])
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winnersList += [pObj]
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for p in jsonDict["losers"]:
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pObj = Players.PlayerInRound(p["playerId"], p["playerName"], loserTeam, timestamp)
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pObj.activeTime = int(p["activeTime"])
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losersList += [pObj]
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return Round(winnersList, losersList, jsonDict["duration"], jsonDict["map"], timestamp, winnerTeam)
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