def calculateResearchPriority():
"calculates the AI empire's demand for research"
universe = fo.getUniverse()
empire = fo.getEmpire()
empireID = empire.empireID
industryPriority = foAI.foAIstate.getPriority(EnumsAI.AIPriorityType.PRIORITY_RESOURCE_PRODUCTION)
gotAlgo = empire.getTechStatus("LRN_ALGO_ELEGANCE") == fo.techStatus.complete
researchQueueList = ResearchAI.getResearchQueueTechs()
orbGenTech = "PRO_ORBITAL_GEN"
totalPP = empire.productionPoints
totalRP = empire.resourceProduction(fo.resourceType.research)
industrySurge= (foAI.foAIstate.aggression > fo.aggression.cautious) and ( totalPP <(30*(foAI.foAIstate.aggression)) ) and (orbGenTech in researchQueueList[:3] or empire.getTechStatus(orbGenTech) == fo.techStatus.complete)
# get current industry production & Target
ownedPlanetIDs = PlanetUtilsAI.getOwnedPlanetsByEmpire(universe.planetIDs, empireID)
planets = map(universe.getPlanet, ownedPlanetIDs)
targetRP = sum( map( lambda x: x.currentMeterValue(fo.meterType.targetResearch), planets) )
styleIndex = empireID%2
cutoffSets = [ [25, 45, 70 ], [35, 50, 70 ] ]
cutoffs = cutoffSets[styleIndex ]
settings = [ [2, .6, .4, .35 ], [1.4, .7, .4, .35 ] ][styleIndex ]
if industrySurge and True:
researchPriority = 0.2 * industryPriority
else:
if (fo.currentTurn() < cutoffs[0]) or not gotAlgo:
researchPriority = settings[0] * industryPriority # high research at beginning of game to get easy gro tech and to get research booster Algotrithmic Elegance
elif fo.currentTurn() < cutoffs[1]:
researchPriority = settings[1] * industryPriority# med-high research
elif fo.currentTurn() < cutoffs[2]:
researchPriority = settings[2] * industryPriority # med-high industry
else:
researchQueue = list(empire.researchQueue)
researchPriority = settings[3] * industryPriority # high industry , low research
if len(researchQueue) == 0 :
researchPriority = 0 # done with research
elif len(researchQueue) <5 and researchQueue[-1].allocation > 0 :
researchPriority = len(researchQueue) # barely not done with research
elif len(researchQueue) <10 and researchQueue[-1].allocation > 0 :
researchPriority = 4+ len(researchQueue) # almost done with research
elif len(researchQueue) <20 and researchQueue[int(len(researchQueue)/2)].allocation > 0 :
researchPriority = 0.5 * researchPriority # closing in on end of research
elif len(researchQueue) <20:
researchPriority = 0.7*researchPriority # high industry , low research
print ""
print "Research Production (current/target) : ( %.1f / %.1f )"%(totalRP, targetRP)
print "Priority for Research: " + str(researchPriority)
return researchPriority
def calculateResearchPriority():
"calculates the AI empire's demand for research"
universe = fo.getUniverse()
empire = fo.getEmpire()
empireID = empire.empireID
gotAlgo = empire.getTechStatus("LRN_ALGO_ELEGANCE") == fo.techStatus.complete
researchQueueList = ResearchAI.getResearchQueueTechs()
orbGenTech = "PRO_ORBITAL_GEN"
totalPP = empire.productionPoints
totalRP = empire.resourceProduction(fo.resourceType.research)
industrySurge= (foAI.foAIstate.aggression > fo.aggression.cautious) and ( totalPP <(30*(foAI.foAIstate.aggression)) ) and (orbGenTech in researchQueueList[:3] or empire.getTechStatus(orbGenTech) == fo.techStatus.complete)
# get current industry production & Target
ownedPlanetIDs = PlanetUtilsAI.getOwnedPlanetsByEmpire(universe.planetIDs, empireID)
planets = map(universe.getPlanet, ownedPlanetIDs)
targetRP = sum( map( lambda x: x.currentMeterValue(fo.meterType.targetResearch), planets) )
styleIndex = empireID%2
styleAdjustmentMap = {0:0, 1:0}#TODO: decide if I want to do anything with this
styleAdjustment = styleAdjustmentMap.get( styleIndex, 0 )
cutoffSets = [ [25, 45, 70 ], [35, 50, 70 ] ]
cutoffs = cutoffSets[styleIndex ]
settings = [ [100, 40, 35, 30 ], [70, 40, 30, 25 ] ][styleIndex ]
if industrySurge and True:
researchPriority = 15+styleAdjustment
else:
if (fo.currentTurn() < cutoffs[0]) or not gotAlgo:
researchPriority = settings[0] # mid industry , high research at beginning of game to get easy gro tech and to get research booster Algotrithmic Elegance
elif fo.currentTurn() < cutoffs[1]:
researchPriority = settings[1] +styleAdjustment# mid industry , mid research
elif fo.currentTurn() < cutoffs[2]:
researchPriority = settings[2]+styleAdjustment # high industry , low research
else:
researchQueue = list(empire.researchQueue)
researchPriority = settings[3]+styleAdjustment # high industry , low research
if len(researchQueue) == 0 :
researchPriority = 0 # done with research
elif len(researchQueue) <5 and researchQueue[-1].allocation > 0 :
researchPriority = len(researchQueue) # barely not done with research
elif len(researchQueue) <10 and researchQueue[-1].allocation > 0 :
researchPriority = 2 # almost done with research
elif len(researchQueue) <20 and researchQueue[int(len(researchQueue)/2)].allocation > 0 :
researchPriority = 5 # closing in on end of research
elif len(researchQueue) <20:
researchPriority = 10 # high industry , low research
print ""
print "Research Production (current/target) : ( %.1f / %.1f )"%(totalRP, targetRP)
print "Priority for Research: " + str(researchPriority)
return researchPriority
def calculateResearchPriority():
"calculates the AI empire's demand for research"
universe = fo.getUniverse()
empire = fo.getEmpire()
empireID = empire.empireID
industryPriority = foAI.foAIstate.getPriority(EnumsAI.AIPriorityType.PRIORITY_RESOURCE_PRODUCTION)
gotAlgo = empire.getTechStatus("LRN_ALGO_ELEGANCE") == fo.techStatus.complete
got_quant = empire.getTechStatus("LRN_QUANT_NET") == fo.techStatus.complete
researchQueueList = ResearchAI.getResearchQueueTechs()
orbGenTech = "PRO_ORBITAL_GEN"
got_orb_gen = (empire.getTechStatus("PRO_ORBITAL_GEN") == fo.techStatus.complete)
got_solar_gen = (empire.getTechStatus("PRO_SOL_ORB_GEN") == fo.techStatus.complete)
totalPP = empire.productionPoints
totalRP = empire.resourceProduction(fo.resourceType.research)
industrySurge= (foAI.foAIstate.aggression > fo.aggression.cautious) and ( totalPP <(30*(foAI.foAIstate.aggression)) ) and (orbGenTech in researchQueueList[:3] or empire.getTechStatus(orbGenTech) == fo.techStatus.complete)
# get current industry production & Target
ownedPlanetIDs = PlanetUtilsAI.getOwnedPlanetsByEmpire(universe.planetIDs, empireID)
planets = map(universe.getPlanet, ownedPlanetIDs)
targetRP = sum( map( lambda x: x.currentMeterValue(fo.meterType.targetResearch), planets) )
styleIndex = (empireID%3)%2
cutoffSets = [ [25, 45, 70 ], [35, 50, 70 ] ]
cutoffs = cutoffSets[styleIndex ]
settings = [ [1.4, .7, .4, .35 ], [2.0, 1.0, .6, .35 ] ][styleIndex ]
if industrySurge and True:
researchPriority = 0.2 * industryPriority
else:
if (fo.currentTurn() < cutoffs[0]) or (not gotAlgo) or ((styleIndex ==0) and not got_orb_gen):
researchPriority = settings[0] * industryPriority # high research at beginning of game to get easy gro tech and to get research booster Algotrithmic Elegance
elif (not got_orb_gen) or (fo.currentTurn() < cutoffs[1]) :
researchPriority = settings[1] * industryPriority# med-high research
elif (fo.currentTurn() < cutoffs[2]):
researchPriority = settings[2] * industryPriority # med-high industry
else:
researchQueue = list(empire.researchQueue)
researchPriority = settings[3] * industryPriority # high industry , low research
if len(researchQueue) == 0 :
researchPriority = 0 # done with research
elif len(researchQueue) <5 and researchQueue[-1].allocation > 0 :
researchPriority = len(researchQueue) # barely not done with research
elif len(researchQueue) <10 and researchQueue[-1].allocation > 0 :
researchPriority = 4+ len(researchQueue) # almost done with research
elif len(researchQueue) <20 and researchQueue[int(len(researchQueue)/2)].allocation > 0 :
researchPriority = 0.5 * researchPriority # closing in on end of research
elif len(researchQueue) <20:
researchPriority = 0.7*researchPriority # high industry , low research
if ( ((empire.getTechStatus("SHP_WEAPON_2_4") == fo.techStatus.complete) or
(empire.getTechStatus("SHP_WEAPON_4_1") == fo.techStatus.complete)) and
(empire.getTechStatus("PRO_SENTIENT_AUTOMATION") == fo.techStatus.complete) ):
industry_factor = [ [0.25, 0.2], [0.3, 0.25] ][styleIndex ]
researchPriority = min(researchPriority, industry_factor[got_solar_gen]*industryPriority)
if got_quant:
researchPriority = min(researchPriority + 0.1*industryPriority, researchPriority * 1.3)
researchPriority = int(researchPriority)
print ""
print "Research Production (current/target) : ( %.1f / %.1f )"%(totalRP, targetRP)
print "Priority for Research: %d (new target ~ %d RP)"%(researchPriority, totalPP * researchPriority/industryPriority)
return researchPriority
