347 lines
15 KiB
Python
347 lines
15 KiB
Python
# =============================================================================
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# Copyright (C) 2010 Diego Duclos
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#
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# This file is part of pyfa.
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#
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# pyfa is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# pyfa is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with pyfa. If not, see <http://www.gnu.org/licenses/>.
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# =============================================================================
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from itertools import chain
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from eos.utils.spoolSupport import SpoolType, SpoolOptions
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from gui.utils.numberFormatter import roundToPrec
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from .base import FitGraph, XDef, YDef, Input, VectorDef
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class FitDamageStatsGraph(FitGraph):
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# UI stuff
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name = 'Damage Stats'
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xDefs = [
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XDef(handle='distance', unit='km', label='Distance', mainInput=('distance', 'km')),
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XDef(handle='time', unit='s', label='Time', mainInput=('time', 's')),
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XDef(handle='tgtSpeed', unit='m/s', label='Target speed', mainInput=('tgtSpeed', '%')),
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XDef(handle='tgtSpeed', unit='%', label='Target speed', mainInput=('tgtSpeed', '%')),
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XDef(handle='tgtSigRad', unit='m', label='Target signature radius', mainInput=('tgtSigRad', '%')),
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XDef(handle='tgtSigRad', unit='%', label='Target signature radius', mainInput=('tgtSigRad', '%'))]
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yDefs = [
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YDef(handle='dps', unit=None, label='DPS'),
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YDef(handle='volley', unit=None, label='Volley'),
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YDef(handle='damage', unit=None, label='Damage inflicted')]
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inputs = [
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Input(handle='time', unit='s', label='Time', iconID=1392, defaultValue=None, defaultRange=(0, 80), mainOnly=False),
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Input(handle='distance', unit='km', label='Distance', iconID=1391, defaultValue=50, defaultRange=(0, 100), mainOnly=False),
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Input(handle='tgtSpeed', unit='%', label='Target speed', iconID=1389, defaultValue=100, defaultRange=(0, 100), mainOnly=False),
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Input(handle='tgtSigRad', unit='%', label='Target signature', iconID=1390, defaultValue=100, defaultRange=(100, 200), mainOnly=True)]
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srcVectorDef = VectorDef(lengthHandle='atkSpeed', lengthUnit='%', angleHandle='atkAngle', angleUnit='degrees', label='Attacker')
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tgtVectorDef = VectorDef(lengthHandle='tgtSpeed', lengthUnit='%', angleHandle='tgtAngle', angleUnit='degrees', label='Target')
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hasTargets = True
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# Calculation stuff
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_normalizers = {
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('distance', 'km'): lambda v, fit, tgt: v * 1000,
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('atkSpeed', '%'): lambda v, fit, tgt: v / 100 * fit.ship.getModifiedItemAttr('maxVelocity'),
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('tgtSpeed', '%'): lambda v, fit, tgt: v / 100 * tgt.ship.getModifiedItemAttr('maxVelocity'),
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('tgtSigRad', '%'): lambda v, fit, tgt: v / 100 * fit.ship.getModifiedItemAttr('signatureRadius')
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}
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_limiters = {
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'time': lambda fit, tgt: (0, 2500)}
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_denormalizers = {
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('distance', 'km'): lambda v, fit, tgt: v / 1000,
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('tgtSpeed', '%'): lambda v, fit, tgt: v * 100 / tgt.ship.getModifiedItemAttr('maxVelocity'),
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('tgtSigRad', '%'): lambda v, fit, tgt: v * 100 / fit.ship.getModifiedItemAttr('signatureRadius')
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}
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def _distance2dps(self, mainInput, miscInputs, fit, tgt):
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return [], []
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def _distance2volley(self, mainInput, miscInputs, fit, tgt):
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return [], []
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def _distance2damage(self, mainInput, miscInputs, fit, tgt):
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return [], []
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def _time2dps(self, mainInput, miscInputs, fit, tgt):
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xs = []
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ys = []
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minTime, maxTime = mainInput[1]
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self._generateTimeCacheDps(fit, maxTime)
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cache = self._calcCache[fit.ID]['timeDps']
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currentDps = None
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for currentTime in sorted(cache):
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prevDps = currentDps
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currentDps = roundToPrec(cache[currentTime], 6)
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if currentTime < minTime:
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continue
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# First set of data points
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if not xs:
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# Start at exactly requested time, at last known value
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initialDps = prevDps or 0
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xs.append(minTime)
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ys.append(initialDps)
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# If current time is bigger then starting, extend plot to that time with old value
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if currentTime > minTime:
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xs.append(currentTime)
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ys.append(initialDps)
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# If new value is different, extend it with new point to the new value
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if currentDps != prevDps:
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xs.append(currentTime)
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ys.append(currentDps)
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continue
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# Last data point
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if currentTime >= maxTime:
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xs.append(maxTime)
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ys.append(prevDps)
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break
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# Anything in-between
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if currentDps != prevDps:
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if prevDps is not None:
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xs.append(currentTime)
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ys.append(prevDps)
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xs.append(currentTime)
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ys.append(currentDps)
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if max(xs) < maxTime:
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xs.append(maxTime)
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ys.append(currentDps or 0)
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return xs, ys
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def _time2volley(self, mainInput, miscInputs, fit, tgt):
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return [], []
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def _time2damage(self, mainInput, miscInputs, fit, tgt):
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xs = []
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ys = []
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minTime, maxTime = mainInput[1]
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self._generateTimeCacheDmg(fit, maxTime)
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cache = self._calcCache[fit.ID]['timeDmg']
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currentDmg = None
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for currentTime in sorted(cache):
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prevDmg = currentDmg
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currentDmg = roundToPrec(cache[currentTime], 6)
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if currentTime < minTime:
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continue
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# First set of data points
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if not xs:
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# Start at exactly requested time, at last known value
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initialDmg = prevDmg or 0
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xs.append(minTime)
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ys.append(initialDmg)
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# If current time is bigger then starting, extend plot to that time with old value
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if currentTime > minTime:
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xs.append(currentTime)
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ys.append(initialDmg)
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# If new value is different, extend it with new point to the new value
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if currentDmg != prevDmg:
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xs.append(currentTime)
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ys.append(currentDmg)
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continue
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# Last data point
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if currentTime >= maxTime:
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xs.append(maxTime)
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ys.append(prevDmg)
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break
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# Anything in-between
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if currentDmg != prevDmg:
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if prevDmg is not None:
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xs.append(currentTime)
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ys.append(prevDmg)
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xs.append(currentTime)
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ys.append(currentDmg)
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return xs, ys
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def _tgtSpeed2dps(self, mainInput, miscInputs, fit, tgt):
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return [], []
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def _tgtSpeed2volley(self, mainInput, miscInputs, fit, tgt):
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return [], []
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def _tgtSpeed2damage(self, mainInput, miscInputs, fit, tgt):
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return [], []
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def _tgtSigRad2dps(self, mainInput, miscInputs, fit, tgt):
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return [], []
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def _tgtSigRad2volley(self, mainInput, miscInputs, fit, tgt):
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return [], []
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def _tgtSigRad2damage(self, mainInput, miscInputs, fit, tgt):
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return [], []
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_getters = {
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('distance', 'dps'): _distance2dps,
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('distance', 'volley'): _distance2volley,
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('distance', 'damage'): _distance2damage,
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('time', 'dps'): _time2dps,
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('time', 'volley'): _time2volley,
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('time', 'damage'): _time2damage,
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('tgtSpeed', 'dps'): _tgtSpeed2dps,
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('tgtSpeed', 'volley'): _tgtSpeed2volley,
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('tgtSpeed', 'damage'): _tgtSpeed2damage,
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('tgtSigRad', 'dps'): _tgtSigRad2dps,
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('tgtSigRad', 'volley'): _tgtSigRad2volley,
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('tgtSigRad', 'damage'): _tgtSigRad2damage}
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# Cache generation
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def _generateTimeCacheDmg(self, fit, maxTime):
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if fit.ID in self._calcCache and 'timeDmg' in self._calcCache[fit.ID]:
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return
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fitCache = self._calcCache.setdefault(fit.ID, {})
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cache = fitCache['timeDmg'] = {}
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def addDmg(addedTime, addedDmg):
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if addedDmg == 0:
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return
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if addedTime not in cache:
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prevTime = max((t for t in cache if t < addedTime), default=None)
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if prevTime is None:
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cache[addedTime] = 0
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else:
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cache[addedTime] = cache[prevTime]
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for time in (t for t in cache if t >= addedTime):
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cache[time] += addedDmg
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for mod in fit.modules:
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if not mod.isDealingDamage():
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continue
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cycleParams = mod.getCycleParameters(reloadOverride=True)
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if cycleParams is None:
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continue
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currentTime = 0
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nonstopCycles = 0
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for cycleTimeMs, inactiveTimeMs in cycleParams.iterCycles():
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volleyParams = mod.getVolleyParameters(spoolOptions=SpoolOptions(SpoolType.CYCLES, nonstopCycles, True))
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for volleyTimeMs, volley in volleyParams.items():
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addDmg(currentTime + volleyTimeMs / 1000, volley.total)
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if inactiveTimeMs == 0:
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nonstopCycles += 1
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else:
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nonstopCycles = 0
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if currentTime > maxTime:
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break
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currentTime += cycleTimeMs / 1000 + inactiveTimeMs / 1000
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for drone in fit.drones:
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if not drone.isDealingDamage():
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continue
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cycleParams = drone.getCycleParameters(reloadOverride=True)
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if cycleParams is None:
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continue
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currentTime = 0
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volleyParams = drone.getVolleyParameters()
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for cycleTimeMs, inactiveTimeMs in cycleParams.iterCycles():
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for volleyTimeMs, volley in volleyParams.items():
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addDmg(currentTime + volleyTimeMs / 1000, volley.total)
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if currentTime > maxTime:
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break
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currentTime += cycleTimeMs / 1000 + inactiveTimeMs / 1000
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for fighter in fit.fighters:
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if not fighter.isDealingDamage():
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continue
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cycleParams = fighter.getCycleParametersPerEffectOptimizedDps(reloadOverride=True)
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if cycleParams is None:
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continue
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volleyParams = fighter.getVolleyParametersPerEffect()
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for effectID, abilityCycleParams in cycleParams.items():
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if effectID not in volleyParams:
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continue
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currentTime = 0
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abilityVolleyParams = volleyParams[effectID]
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for cycleTimeMs, inactiveTimeMs in abilityCycleParams.iterCycles():
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for volleyTimeMs, volley in abilityVolleyParams.items():
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addDmg(currentTime + volleyTimeMs / 1000, volley.total)
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if currentTime > maxTime:
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break
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currentTime += cycleTimeMs / 1000 + inactiveTimeMs / 1000
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def _generateTimeCacheDps(self, fit, maxTime):
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if fit.ID in self._calcCache and 'timeDps' in self._calcCache[fit.ID]:
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return
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intermediateCache = []
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def addDmg(addedTimeStart, addedTimeFinish, addedDmg):
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if addedDmg == 0:
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return
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addedDps = addedDmg / (addedTimeFinish - addedTimeStart)
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intermediateCache.append((addedTimeStart, addedTimeFinish, addedDps))
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for mod in fit.modules:
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if not mod.isDealingDamage():
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continue
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cycleParams = mod.getCycleParameters(reloadOverride=True)
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if cycleParams is None:
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continue
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currentTime = 0
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nonstopCycles = 0
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for cycleTimeMs, inactiveTimeMs in cycleParams.iterCycles():
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cycleDamage = 0
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volleyParams = mod.getVolleyParameters(spoolOptions=SpoolOptions(SpoolType.CYCLES, nonstopCycles, True))
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for volleyTimeMs, volley in volleyParams.items():
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cycleDamage += volley.total
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addDmg(currentTime, currentTime + cycleTimeMs / 1000, cycleDamage)
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currentTime += cycleTimeMs / 1000 + inactiveTimeMs / 1000
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if inactiveTimeMs > 0:
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nonstopCycles = 0
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else:
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nonstopCycles += 1
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if currentTime > maxTime:
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break
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for drone in fit.drones:
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if not drone.isDealingDamage():
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continue
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cycleParams = drone.getCycleParameters(reloadOverride=True)
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if cycleParams is None:
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continue
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currentTime = 0
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for cycleTimeMs, inactiveTimeMs in cycleParams.iterCycles():
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cycleDamage = 0
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volleyParams = drone.getVolleyParameters()
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for volleyTimeMs, volley in volleyParams.items():
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cycleDamage += volley.total
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addDmg(currentTime, currentTime + cycleTimeMs / 1000, cycleDamage)
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currentTime += cycleTimeMs / 1000 + inactiveTimeMs / 1000
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if currentTime > maxTime:
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break
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for fighter in fit.fighters:
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if not fighter.isDealingDamage():
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continue
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cycleParams = fighter.getCycleParametersPerEffectOptimizedDps(reloadOverride=True)
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if cycleParams is None:
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continue
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volleyParams = fighter.getVolleyParametersPerEffect()
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for effectID, abilityCycleParams in cycleParams.items():
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if effectID not in volleyParams:
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continue
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abilityVolleyParams = volleyParams[effectID]
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currentTime = 0
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for cycleTimeMs, inactiveTimeMs in abilityCycleParams.iterCycles():
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cycleDamage = 0
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for volleyTimeMs, volley in abilityVolleyParams.items():
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cycleDamage += volley.total
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addDmg(currentTime, currentTime + cycleTimeMs / 1000, cycleDamage)
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currentTime += cycleTimeMs / 1000 + inactiveTimeMs / 1000
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if currentTime > maxTime:
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break
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# Post-process cache
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finalCache = {}
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for time in sorted(set(chain((i[0] for i in intermediateCache), (i[1] for i in intermediateCache)))):
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entries = (e for e in intermediateCache if e[0] <= time < e[1])
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dps = sum(e[2] for e in entries)
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finalCache[time] = dps
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fitCache = self._calcCache.setdefault(fit.ID, {})
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fitCache['timeDps'] = finalCache
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FitDamageStatsGraph.register()
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