def _get_base_outpost_defense_value() -> float:
"""Return planet defenses contribution towards planet evaluations."""
# TODO: assess current AI defense technology, compare the resulting planetary rating to the current
# best military ship design, derive a planet defenses value related to the cost of such a ship
net_count = sum(
tech_is_complete(tech_name)
for tech_name in AIDependencies.DEFENSE_DEFENSE_NET_TECHS)
regen_count = sum(
tech_is_complete(tech_name)
for tech_name in AIDependencies.DEFENSE_REGEN_TECHS)
garrison_count = sum(
tech_is_complete(tech_name)
for tech_name in AIDependencies.DEFENSE_GARRISON_TECHS)
shield_count = sum(
tech_is_complete(tech_name)
for tech_name in AIDependencies.DEFENSE_SHIELDS_TECHS)
# not counting mine techs because their effects are per-system, not per-planet
# for now, just combing these for rough composite factor
# since outposts have no infrastructure (until late game at least), many of these have less weight
# than for colonies
result = 3 * (0.1 + net_count) * (1 + regen_count / 3.0) * (
1 + garrison_count / 6.0) * (1 + shield_count / 3.0)
return round(result, 2)
def _get_base_colony_defense_value():
"""
:return:planet defenses contribution towards planet evaluations
:rtype float
"""
# TODO: assess current AI defense technology, compare the resulting planetary rating to the current
# best military ship design, derive a planet defenses value related to the cost of such a ship
net_count = sum(
tech_is_complete(tech_name)
for tech_name in AIDependencies.DEFENSE_DEFENSE_NET_TECHS)
regen_count = sum(
tech_is_complete(tech_name)
for tech_name in AIDependencies.DEFENSE_REGEN_TECHS)
garrison_count = sum(
tech_is_complete(tech_name)
for tech_name in AIDependencies.DEFENSE_GARRISON_TECHS)
shield_count = sum(
tech_is_complete(tech_name)
for tech_name in AIDependencies.DEFENSE_SHIELDS_TECHS)
# not counting mine techs because their effects are per-system, not per-planet
# for now, just combing these for rough composite factor
result = 4 * (0.1 + net_count) * (1 + regen_count / 2.0) * (
1 + garrison_count / 4.0) * (1 + shield_count / 2.0)
return round(result, 2)
def _get_colony_builders() -> Dict[SpeciesName, List[PlanetId]]:
"""
Return mutable state.
"""
colony_build_locations = {}
# get it into colonizer list even if no colony yet
if tech_is_complete(AIDependencies.EXOBOT_TECH_NAME):
colony_build_locations["SP_EXOBOT"] = []
# get it into colonizer list even if no colony yet
for spec_name in AIDependencies.EXTINCT_SPECIES:
if tech_is_complete("TECH_COL_" + spec_name):
colony_build_locations["SP_" + spec_name] = []
return colony_build_locations
def is_possible(tech_name):
return all([
empire.getTechStatus(tech_name) == fo.techStatus.researchable,
not tech_is_complete(tech_name),
not exclude_tech(tech_name),
tech_name not in queued_techs,
])
def _calculate_outpost_priority():
"""Calculates the demand for outpost ships by colonisable planets."""
global allotted_outpost_targets
base_outpost_cost = AIDependencies.OUTPOST_POD_COST
enemies_sighted = foAI.foAIstate.misc.get('enemies_sighted', {})
galaxy_is_sparse = ColonisationAI.galaxy_is_sparse()
total_pp = fo.getEmpire().productionPoints
num_colonies = len(list(AIstate.popCtrIDs))
colony_growth_barrier = foAI.foAIstate.character.max_number_colonies()
if num_colonies > colony_growth_barrier:
return 0.0
mil_prio = foAI.foAIstate.get_priority(PriorityType.PRODUCTION_MILITARY)
not_sparse, enemy_unseen = 0, 0
is_sparse, enemy_seen = 1, 1
allotted_portion = {
(not_sparse, enemy_unseen): (0.6, 0.8),
(not_sparse, enemy_seen): (0.3, 0.4),
(is_sparse, enemy_unseen): (0.8, 0.9),
(is_sparse, enemy_seen): (0.3, 0.4),
}[(galaxy_is_sparse, any(enemies_sighted))]
allotted_portion = foAI.foAIstate.character.preferred_outpost_portion(
allotted_portion)
if mil_prio < 100:
allotted_portion *= 2
elif mil_prio < 200:
allotted_portion *= 1.5
allotted_outpost_targets = 1 + int(
total_pp * 3 * allotted_portion / base_outpost_cost)
num_outpost_targets = len([
pid
for (pid, (score,
specName)) in foAI.foAIstate.colonisableOutpostIDs.items()
if score > 1.0 * base_outpost_cost / 3.0
][:allotted_outpost_targets])
if num_outpost_targets == 0 or not tech_is_complete(
AIDependencies.OUTPOSTING_TECH):
return 0
outpost_ship_ids = FleetUtilsAI.get_empire_fleet_ids_by_role(
MissionType.OUTPOST)
num_outpost_ships = len(
FleetUtilsAI.extract_fleet_ids_without_mission_types(outpost_ship_ids))
outpost_priority = (
50.0 * (num_outpost_targets - num_outpost_ships)) / num_outpost_targets
# print
# print "Number of Outpost Ships : " + str(num_outpost_ships)
# print "Number of Colonisable outposts: " + str(num_outpost_planet_ids)
print "Priority for outpost ships: " + str(outpost_priority)
if outpost_priority < 1:
return 0
return outpost_priority
def get_extra_colony_builders() -> List[str]:
"""
Returns species the empire can build without having a colony, i.e. Exobots plus
extinct species that has been enabled.
"""
ret = ["SP_EXOBOT"]
for spec_name in AIDependencies.EXTINCT_SPECIES:
if tech_is_complete("TECH_COL_" + spec_name):
ret.append("SP_" + spec_name)
return ret
def calculateOutpostPriority():
"""calculates the demand for outpost ships by colonisable planets"""
global allotted_outpost_targets
base_outpost_cost = AIDependencies.OUTPOST_POD_COST
enemies_sighted = foAI.foAIstate.misc.get('enemies_sighted', {})
galaxy_is_sparse = ColonisationAI.galaxy_is_sparse()
total_pp = fo.getEmpire().productionPoints
num_colonies = len(list(AIstate.popCtrIDs))
# significant growth barrier for low aggression, negligible for high aggression
if num_colonies > colony_growth_barrier:
return 0.0
mil_prio = foAI.foAIstate.get_priority(
EnumsAI.AIPriorityType.PRIORITY_PRODUCTION_MILITARY)
NOT_SPARCE, ENEMY_UNSEEN = 0, 0
IS_SPARCE, ENEMY_SEEN = 1, 1
allotted_portion = {
(NOT_SPARCE, ENEMY_UNSEEN): (0.6, 0.8),
(NOT_SPARCE, ENEMY_SEEN): (0.3, 0.4),
(IS_SPARCE, ENEMY_UNSEEN): (0.8, 0.9),
(IS_SPARCE, ENEMY_SEEN): (0.3, 0.4),
}[(galaxy_is_sparse, any(enemies_sighted))][fo.empireID() % 2]
if mil_prio < 100:
allotted_portion *= 2
elif mil_prio < 200:
allotted_portion *= 1.5
allotted_outpost_targets = 1 + int(
total_pp * 3 * allotted_portion / base_outpost_cost)
num_outpost_targets = len([
pid
for (pid, (score,
specName)) in foAI.foAIstate.colonisableOutpostIDs.items()
if score > 1.0 * base_outpost_cost / 3.0
][:allotted_outpost_targets])
if num_outpost_targets == 0 or not tech_is_complete(
AIDependencies.OUTPOSTING_TECH):
return 0
outpostShipIDs = FleetUtilsAI.get_empire_fleet_ids_by_role(
EnumsAI.AIFleetMissionType.FLEET_MISSION_OUTPOST)
num_outpost_ships = len(
FleetUtilsAI.extract_fleet_ids_without_mission_types(outpostShipIDs))
outpost_priority = 50 * (num_outpost_targets -
num_outpost_ships) / num_outpost_targets
# print
# print "Number of Outpost Ships : " + str(num_outpost_ships)
# print "Number of Colonisable outposts: " + str(num_outpost_planet_ids)
print "Priority for outpost ships : " + str(outpost_priority)
if outpost_priority < 1: return 0
return outpost_priority
def calculateOutpostPriority():
"""calculates the demand for outpost ships by colonisable planets"""
global allotted_outpost_targets
base_outpost_cost = AIDependencies.OUTPOST_POD_COST
enemies_sighted = foAI.foAIstate.misc.get("enemies_sighted", {})
galaxy_is_sparse = ColonisationAI.galaxy_is_sparse()
total_pp = fo.getEmpire().productionPoints
num_colonies = len(list(AIstate.popCtrIDs))
# significant growth barrier for low aggression, negligible for high aggression
if num_colonies > colony_growth_barrier:
return 0.0
mil_prio = foAI.foAIstate.get_priority(EnumsAI.AIPriorityType.PRIORITY_PRODUCTION_MILITARY)
NOT_SPARCE, ENEMY_UNSEEN = 0, 0
IS_SPARCE, ENEMY_SEEN = 1, 1
allotted_portion = {
(NOT_SPARCE, ENEMY_UNSEEN): (0.6, 0.8),
(NOT_SPARCE, ENEMY_SEEN): (0.3, 0.4),
(IS_SPARCE, ENEMY_UNSEEN): (0.8, 0.9),
(IS_SPARCE, ENEMY_SEEN): (0.3, 0.4),
}[(galaxy_is_sparse, any(enemies_sighted))][fo.empireID() % 2]
if mil_prio < 100:
allotted_portion *= 2
elif mil_prio < 200:
allotted_portion *= 1.5
allotted_outpost_targets = 1 + int(total_pp * 3 * allotted_portion / base_outpost_cost)
num_outpost_targets = len(
[
pid
for (pid, (score, specName)) in foAI.foAIstate.colonisableOutpostIDs.items()
if score > 1.0 * base_outpost_cost / 3.0
][:allotted_outpost_targets]
)
if num_outpost_targets == 0 or not tech_is_complete(AIDependencies.OUTPOSTING_TECH):
return 0
outpostShipIDs = FleetUtilsAI.get_empire_fleet_ids_by_role(EnumsAI.AIFleetMissionType.FLEET_MISSION_OUTPOST)
num_outpost_ships = len(FleetUtilsAI.extract_fleet_ids_without_mission_types(outpostShipIDs))
outpost_priority = 50 * (num_outpost_targets - num_outpost_ships) / num_outpost_targets
# print
# print "Number of Outpost Ships : " + str(num_outpost_ships)
# print "Number of Colonisable outposts: " + str(num_outpost_planet_ids)
print "Priority for outpost ships : " + str(outpost_priority)
if outpost_priority < 1:
return 0
return outpost_priority
def _calculate_outpost_priority():
"""Calculates the demand for outpost ships by colonisable planets."""
global allotted_outpost_targets
base_outpost_cost = AIDependencies.OUTPOST_POD_COST
enemies_sighted = foAI.foAIstate.misc.get('enemies_sighted', {})
galaxy_is_sparse = ColonisationAI.galaxy_is_sparse()
total_pp = fo.getEmpire().productionPoints
colony_growth_barrier = foAI.foAIstate.character.max_number_colonies()
if state.get_number_of_colonies() > colony_growth_barrier:
return 0.0
mil_prio = foAI.foAIstate.get_priority(PriorityType.PRODUCTION_MILITARY)
not_sparse, enemy_unseen = 0, 0
is_sparse, enemy_seen = 1, 1
allotted_portion = {
(not_sparse, enemy_unseen): (0.6, 0.8),
(not_sparse, enemy_seen): (0.3, 0.4),
(is_sparse, enemy_unseen): (0.8, 0.9),
(is_sparse, enemy_seen): (0.3, 0.4),
}[(galaxy_is_sparse, any(enemies_sighted))]
allotted_portion = foAI.foAIstate.character.preferred_outpost_portion(allotted_portion)
if mil_prio < 100:
allotted_portion *= 2
elif mil_prio < 200:
allotted_portion *= 1.5
allotted_outpost_targets = 1 + int(total_pp * 3 * allotted_portion / base_outpost_cost)
num_outpost_targets = len([pid for (pid, (score, specName)) in foAI.foAIstate.colonisableOutpostIDs.items()
if score > max(1.0 * base_outpost_cost / 3.0, ColonisationAI.MINIMUM_COLONY_SCORE)]
[:allotted_outpost_targets])
if num_outpost_targets == 0 or not tech_is_complete(AIDependencies.OUTPOSTING_TECH):
return 0
outpost_ship_ids = FleetUtilsAI.get_empire_fleet_ids_by_role(MissionType.OUTPOST)
num_outpost_ships = len(FleetUtilsAI.extract_fleet_ids_without_mission_types(outpost_ship_ids))
outpost_priority = (50.0 * (num_outpost_targets - num_outpost_ships)) / num_outpost_targets
# discourage early outposting for SP_SLY, due to supply and stealth considerations they are best off
# using colony ships until they have other colonizers (and more established military)
if list(ColonisationAI.empire_colonizers) == ["SP_SLY"]:
outpost_priority /= 3.0
# print
# print "Number of Outpost Ships : " + str(num_outpost_ships)
# print "Number of Colonisable outposts: " + str(num_outpost_planet_ids)
print "Priority for outpost ships: " + str(outpost_priority)
if outpost_priority < 1:
return 0
return outpost_priority
def _calculate_outpost_priority():
"""Calculates the demand for outpost ships by colonisable planets."""
global allotted_outpost_targets
base_outpost_cost = AIDependencies.OUTPOST_POD_COST
enemies_sighted = foAI.foAIstate.misc.get('enemies_sighted', {})
galaxy_is_sparse = ColonisationAI.galaxy_is_sparse()
total_pp = fo.getEmpire().productionPoints
num_colonies = len(list(AIstate.popCtrIDs))
colony_growth_barrier = foAI.foAIstate.character.max_number_colonies()
if num_colonies > colony_growth_barrier:
return 0.0
mil_prio = foAI.foAIstate.get_priority(PriorityType.PRODUCTION_MILITARY)
not_sparse, enemy_unseen = 0, 0
is_sparse, enemy_seen = 1, 1
allotted_portion = {
(not_sparse, enemy_unseen): (0.6, 0.8),
(not_sparse, enemy_seen): (0.3, 0.4),
(is_sparse, enemy_unseen): (0.8, 0.9),
(is_sparse, enemy_seen): (0.3, 0.4),
}[(galaxy_is_sparse, any(enemies_sighted))]
allotted_portion = foAI.foAIstate.character.preferred_outpost_portion(allotted_portion)
if mil_prio < 100:
allotted_portion *= 2
elif mil_prio < 200:
allotted_portion *= 1.5
allotted_outpost_targets = 1 + int(total_pp * 3 * allotted_portion / base_outpost_cost)
num_outpost_targets = len([pid for (pid, (score, specName)) in foAI.foAIstate.colonisableOutpostIDs.items()
if score > 1.0 * base_outpost_cost / 3.0][:allotted_outpost_targets])
if num_outpost_targets == 0 or not tech_is_complete(AIDependencies.OUTPOSTING_TECH):
return 0
outpost_ship_ids = FleetUtilsAI.get_empire_fleet_ids_by_role(MissionType.OUTPOST)
num_outpost_ships = len(FleetUtilsAI.extract_fleet_ids_without_mission_types(outpost_ship_ids))
outpost_priority = 50 * (num_outpost_targets - num_outpost_ships) / num_outpost_targets
# print
# print "Number of Outpost Ships : " + str(num_outpost_ships)
# print "Number of Colonisable outposts: " + str(num_outpost_planet_ids)
print "Priority for outpost ships: " + str(outpost_priority)
if outpost_priority < 1:
return 0
return outpost_priority
def evaluate_invasion_planet(planet_id, empire, secure_fleet_missions, verbose=True):
"""Return the invasion value (score, troops) of a planet."""
detail = []
building_values = {"BLD_IMPERIAL_PALACE": 1000,
"BLD_CULTURE_ARCHIVES": 1000,
"BLD_SHIPYARD_BASE": 100,
"BLD_SHIPYARD_ORG_ORB_INC": 200,
"BLD_SHIPYARD_ORG_XENO_FAC": 200,
"BLD_SHIPYARD_ORG_CELL_GRO_CHAMB": 200,
"BLD_SHIPYARD_CON_NANOROBO": 300,
"BLD_SHIPYARD_CON_GEOINT": 400,
"BLD_SHIPYARD_CON_ADV_ENGINE": 1000,
"BLD_SHIPYARD_AST": 300,
"BLD_SHIPYARD_AST_REF": 1000,
"BLD_SHIPYARD_ENRG_SOLAR": 1500,
"BLD_INDUSTRY_CENTER": 500,
"BLD_GAS_GIANT_GEN": 200,
"BLD_SOL_ORB_GEN": 800,
"BLD_BLACK_HOLE_POW_GEN": 2000,
"BLD_ENCLAVE_VOID": 500,
"BLD_NEUTRONIUM_EXTRACTOR": 2000,
"BLD_NEUTRONIUM_SYNTH": 2000,
"BLD_NEUTRONIUM_FORGE": 1000,
"BLD_CONC_CAMP": 100,
"BLD_BIOTERROR_PROJECTOR": 1000,
"BLD_SHIPYARD_ENRG_COMP": 3000,
}
# TODO: add more factors, as used for colonization
universe = fo.getUniverse()
empire_id = empire.empireID
max_jumps = 8
planet = universe.getPlanet(planet_id)
if planet is None: # TODO: exclude planets with stealth higher than empireDetection
print "invasion AI couldn't access any info for planet id %d" % planet_id
return [0, 0]
sys_partial_vis_turn = universe.getVisibilityTurnsMap(planet.systemID, empire_id).get(fo.visibility.partial, -9999)
planet_partial_vis_turn = universe.getVisibilityTurnsMap(planet_id, empire_id).get(fo.visibility.partial, -9999)
if planet_partial_vis_turn < sys_partial_vis_turn:
print "invasion AI couldn't get current info on planet id %d (was stealthed at last sighting)" % planet_id
# TODO: track detection strength, order new scouting when it goes up
return [0, 0] # last time we had partial vis of the system, the planet was stealthed to us
species_name = planet.speciesName
species = fo.getSpecies(species_name)
if not species: # this call iterates over this Empire's available species with which it could colonize after an invasion
planet_eval = ColonisationAI.assign_colonisation_values([planet_id], EnumsAI.AIFleetMissionType.FLEET_MISSION_INVASION, None, empire, detail)
pop_val = max(0.75*planet_eval.get(planet_id, [0])[0], ColonisationAI.evaluate_planet(planet_id, EnumsAI.AIFleetMissionType.FLEET_MISSION_OUTPOST, None, empire, detail))
else:
pop_val = ColonisationAI.evaluate_planet(planet_id, EnumsAI.AIFleetMissionType.FLEET_MISSION_INVASION, species_name, empire, detail)
bld_tally = 0
for bldType in [universe.getObject(bldg).buildingTypeName for bldg in planet.buildingIDs]:
bval = building_values.get(bldType, 50)
bld_tally += bval
detail.append("%s: %d" % (bldType, bval))
p_sys_id = planet.systemID
capitol_id = PlanetUtilsAI.get_capital()
least_jumps_path = []
clear_path = True
if capitol_id:
homeworld = universe.getPlanet(capitol_id)
if homeworld:
home_system_id = homeworld.systemID
eval_system_id = planet.systemID
if (home_system_id != -1) and (eval_system_id != -1):
least_jumps_path = list(universe.leastJumpsPath(home_system_id, eval_system_id, empire_id))
max_jumps = len(least_jumps_path)
system_status = foAI.foAIstate.systemStatus.get(p_sys_id, {})
system_fleet_treat = system_status.get('fleetThreat', 1000)
system_monster_threat = system_status.get('monsterThreat', 0)
sys_total_threat = system_fleet_treat + system_monster_threat + system_status.get('planetThreat', 0)
max_path_threat = system_fleet_treat
mil_ship_rating = MilitaryAI.cur_best_mil_ship_rating()
for path_sys_id in least_jumps_path:
path_leg_status = foAI.foAIstate.systemStatus.get(path_sys_id, {})
path_leg_threat = path_leg_status.get('fleetThreat', 1000) + path_leg_status.get('monsterThreat', 0)
if path_leg_threat > 0.5 * mil_ship_rating:
clear_path = False
if path_leg_threat > max_path_threat:
max_path_threat = path_leg_threat
pop = planet.currentMeterValue(fo.meterType.population)
target_pop = planet.currentMeterValue(fo.meterType.targetPopulation)
troops = planet.currentMeterValue(fo.meterType.troops)
max_troops = planet.currentMeterValue(fo.meterType.maxTroops)
# TODO: refactor troop determination into function for use in mid-mission updates and also consider defender techs
max_troops += AIDependencies.TROOPS_PER_POP * (target_pop - pop)
this_system = universe.getSystem(p_sys_id)
secure_targets = [p_sys_id] + list(this_system.planetIDs)
system_secured = False
for mission in secure_fleet_missions:
if system_secured:
break
secure_fleet_id = mission.target_id
s_fleet = universe.getFleet(secure_fleet_id)
if not s_fleet or s_fleet.systemID != p_sys_id:
continue
for ai_target in mission.get_targets(EnumsAI.AIFleetMissionType.FLEET_MISSION_SECURE):
target_obj = ai_target.target_obj
if (target_obj is not None) and target_obj.id in secure_targets:
system_secured = True
break
system_secured = system_secured and system_status.get('myFleetRating',0)
if verbose:
print "invasion eval of %s %d --- maxShields %.1f -- sysFleetThreat %.1f -- sysMonsterThreat %.1f" % (
planet.name, planet_id, planet.currentMeterValue(fo.meterType.maxShield), system_fleet_treat,
system_monster_threat)
supply_val = 0
enemy_val = 0
if planet.owner != -1: # value in taking this away from an enemy
enemy_val = 20 * (planet.currentMeterValue(fo.meterType.targetIndustry) + 2*planet.currentMeterValue(fo.meterType.targetResearch))
if p_sys_id in ColonisationAI.annexable_system_ids: # TODO: extend to rings
supply_val = 100
elif p_sys_id in ColonisationAI.annexable_ring1:
supply_val = 200
elif p_sys_id in ColonisationAI.annexable_ring2:
supply_val = 300
elif p_sys_id in ColonisationAI.annexable_ring3:
supply_val = 400
if max_path_threat > 0.5 * mil_ship_rating:
if max_path_threat < 3 * mil_ship_rating:
supply_val *= 0.5
else:
supply_val *= 0.2
threat_factor = min(1, 0.2*MilitaryAI.totMilRating/(sys_total_threat+0.001))**2 # devalue invasions that would require too much military force
build_time = 4
planned_troops = troops if system_secured else min(troops+max_jumps+build_time, max_troops)
if not tech_is_complete("SHP_ORG_HULL"):
troop_cost = math.ceil(planned_troops/6.0) * (40*(1+foAI.foAIstate.shipCount * AIDependencies.SHIP_UPKEEP))
else:
troop_cost = math.ceil(planned_troops/6.0) * (20*(1+foAI.foAIstate.shipCount * AIDependencies.SHIP_UPKEEP))
planet_score = retaliation_risk_factor(planet.owner) * threat_factor * max(0, pop_val+supply_val+bld_tally+enemy_val-0.8*troop_cost)
if clear_path:
planet_score *= 1.5
invasion_score = [planet_score, planned_troops]
print invasion_score, "projected Troop Cost:", troop_cost, ", threatFactor: ", threat_factor, ", planet detail ", detail, "popval, supplyval, bldval, enemyval", pop_val, supply_val, bld_tally, enemy_val
return invasion_score
def _base_asteroid_mining_val():
"""returns an estimation for the industry value of an asteroid belt for a colony in the system"""
return 2 if tech_is_complete("PRO_MICROGRAV_MAN") else 1
def set_planet_resource_foci():
"""set resource focus of planets """
newFoci = {}
print "\n============================"
print "Collecting info to assess Planet Focus Changes\n"
universe = fo.getUniverse()
empire = fo.getEmpire()
currentTurn = fo.currentTurn()
# set the random seed (based on galaxy seed, empire ID and current turn)
# for game-reload consistency
freq = min(3, (max(5, currentTurn - 80)) / 4.0) ** (1.0 / 3)
if not (limitAssessments and (abs(currentTurn - lastFociCheck[0]) < 1.5 * freq) and (random.random() < 1.0 / freq)):
lastFociCheck[0] = currentTurn
resource_timer.start("getPlanets")
empirePlanetIDs = list(PlanetUtilsAI.get_owned_planets_by_empire(universe.planetIDs))
resource_timer.start("Filter")
resource_timer.start("Priority")
# TODO: take into acct splintering of resource groups
# fleetSupplyableSystemIDs = empire.fleetSupplyableSystemIDs
# fleetSupplyablePlanetIDs = PlanetUtilsAI.get_planets_in__systems_ids(fleetSupplyableSystemIDs)
ppPrio = foAI.foAIstate.get_priority(AIPriorityType.PRIORITY_RESOURCE_PRODUCTION)
rpPrio = foAI.foAIstate.get_priority(AIPriorityType.PRIORITY_RESOURCE_RESEARCH)
priorityRatio = float(rpPrio) / (ppPrio + 0.0001)
resource_timer.start("Shuffle")
# not supporting Growth for general planets until also adding code to make sure would actually benefit
# shuffle(generalPlanetIDs)
resource_timer.start("Targets")
planets = map(universe.getPlanet, empirePlanetIDs)
planetMap.clear()
planetMap.update(zip(empirePlanetIDs, planets))
if useGrowth:
for metab, metabIncPop in ColonisationAI.empire_metabolisms.items():
for special in [aspec for aspec in AIDependencies.metabolismBoostMap.get(metab, []) if aspec in ColonisationAI.available_growth_specials]:
rankedPlanets = []
for pid in ColonisationAI.available_growth_specials[special]:
planet = planetMap[pid]
cur_focus = planet.focus
pop = planet.currentMeterValue(fo.meterType.population)
if (pop > metabIncPop - 2 * planet.size) or (GFocus not in planet.availableFoci): # not enough benefit to lose local production, or can't put growth focus here
continue
for special2 in ["COMPUTRONIUM_SPECIAL"]:
if special2 in planet.specials:
break
else: # didn't have any specials that would override interest in growth special
print "Considering Growth Focus for %s (%d) with special %s; planet has pop %.1f and %s metabolism incremental pop is %.1f" % (
planet.name, pid, special, pop, metab, metabIncPop)
if cur_focus == GFocus:
pop -= 4 # discourage changing current focus to minimize focus-changing penalties
rankedPlanets.append((pop, pid, cur_focus))
if not rankedPlanets:
continue
rankedPlanets.sort()
print "Considering Growth Focus choice for special %s; possible planet pop, id pairs are %s" % (metab, rankedPlanets)
for spSize, spPID, cur_focus in rankedPlanets: # index 0 should be able to set focus, but just in case...
result = 1
if cur_focus != GFocus:
result = fo.issueChangeFocusOrder(spPID, GFocus)
if result == 1:
newFoci[spPID] = GFocus
if spPID in empirePlanetIDs:
del empirePlanetIDs[empirePlanetIDs.index(spPID)]
print "%s focus of planet %s (%d) at Growth Focus" % (["set", "left"][cur_focus == GFocus], planetMap[spPID].name, spPID)
break
else:
print "failed setting focus of planet %s (%d) at Growth Focus; focus left at %s" % (planetMap[spPID].name, spPID, planetMap[spPID].focus)
already_have_comp_moon = False
for pid in empirePlanetIDs:
planet = planetMap[pid]
if "COMPUTRONIUM_SPECIAL" in planet.specials and RFocus in planet.availableFoci and not already_have_comp_moon:
curFocus = planet.focus
newFoci[pid] = RFocus
result = 0
if curFocus != RFocus:
result = fo.issueChangeFocusOrder(pid, RFocus)
if result == 1:
universe.updateMeterEstimates(empirePlanetIDs)
if curFocus == RFocus or result == 1:
already_have_comp_moon = True
print "%s focus of planet %s (%d) (with Computronium Moon) at Research Focus" % (["set", "left"][curFocus == RFocus], planetMap[pid].name, pid)
if pid in empirePlanetIDs:
del empirePlanetIDs[empirePlanetIDs.index(pid)]
continue
if ((([bld.buildingTypeName for bld in map(universe.getObject, planet.buildingIDs) if bld.buildingTypeName in
["BLD_CONC_CAMP", "BLD_CONC_CAMP_REMNANT"]] != []) or
([ccspec for ccspec in planet.specials if ccspec in ["CONC_CAMP_MASTER_SPECIAL", "CONC_CAMP_SLAVE_SPECIAL"]] != []))
and IFocus in planet.availableFoci):
curFocus = planet.focus
newFoci[pid] = IFocus
result = 0
if curFocus != IFocus:
result = fo.issueChangeFocusOrder(pid, IFocus)
if result == 1:
print ("Tried setting %s for Concentration Camp planet %s (%d) with species %s and current focus %s, got result %d and focus %s" %
(newFoci[pid], planet.name, pid, planet.speciesName, curFocus, result, planetMap[pid].focus))
universe.updateMeterEstimates(empirePlanetIDs)
if (result != 1) or planetMap[pid].focus != IFocus:
newplanet = universe.getPlanet(pid)
print ("Error: Failed setting %s for Concentration Camp planet %s (%d) with species %s and current focus %s, but new planet copy shows %s" %
(newFoci[pid], planetMap[pid].name, pid, planetMap[pid].speciesName, planetMap[pid].focus, newplanet.focus))
if curFocus == IFocus or result == 1:
print "%s focus of planet %s (%d) (with Concentration Camps/Remnants) at Industry Focus" % (["set", "left"][curFocus == IFocus], planetMap[pid].name, pid)
if pid in empirePlanetIDs:
del empirePlanetIDs[empirePlanetIDs.index(pid)]
continue
# pp, rp = get_resource_target_totals(empirePlanetIDs, planetMap)
pp, rp = get_resource_target_totals(planetMap.keys())
for pid in empirePlanetIDs:
planet = planetMap[pid]
if PFocus in planet.availableFoci and assess_protection_focus(pid):
curFocus = planet.focus
newFoci[pid] = PFocus
result = 0
if curFocus != PFocus:
result = fo.issueChangeFocusOrder(pid, PFocus)
if result == 1:
print ("Tried setting %s for planet %s (%d) with species %s and current focus %s, got result %d and focus %s" %
(newFoci[pid], planet.name, pid, planet.speciesName, curFocus, result, planet.focus))
universe.updateMeterEstimates(empirePlanetIDs)
if (result != 1) or planet.focus != PFocus:
newplanet = universe.getPlanet(pid)
print ("Error: Failed setting %s for planet %s (%d) with species %s and current focus %s, but new planet copy shows %s" %
(newFoci[pid], planet.name, pid, planet.speciesName, planet.focus, newplanet.focus))
if curFocus == PFocus or result == 1:
print "%s focus of planet %s (%d) at Protection(Defense) Focus" % (["set", "left"][curFocus == PFocus], planet.name, pid)
if pid in empirePlanetIDs:
del empirePlanetIDs[empirePlanetIDs.index(pid)]
continue
print "\n-----------------------------------------"
print "Making Planet Focus Change Determinations\n"
ratios = []
# for each planet, calculate RP:PP value ratio at which industry/Mining focus and research focus would have the same total value, & sort by that
# include a bias to slightly discourage changing foci
curTargetPP = 0.001
curTargetRP = 0.001
resource_timer.start("Loop") # loop
has_force = tech_is_complete("CON_FRC_ENRG_STRC")
preset_ids = set(planetMap.keys()) - set(empirePlanetIDs)
ctPP0, ctRP0 = 0, 0
for pid in preset_ids:
nPP, nRP = newTargets.get(pid, {}).get(planetMap[pid].focus, [0, 0])
curTargetPP += nPP
curTargetRP += nRP
iPP, iRP = newTargets.get(pid, {}).get(IFocus, [0, 0])
ctPP0 += iPP
ctRP0 += iRP
id_set = set(empirePlanetIDs)
for adj_round in [1, 2, 3, 4]:
maxi_ratio = ctRP0 / max(0.01, ctPP0) # should only change between rounds 1 and 2
for pid in list(id_set):
if adj_round == 1: # tally max Industry
iPP, iRP = newTargets.get(pid, {}).get(IFocus, [0, 0])
ctPP0 += iPP
ctRP0 += iRP
continue
II, IR = newTargets[pid][IFocus]
RI, RR = newTargets[pid][RFocus]
CI, CR = currentOutput[pid][IFocus], currentOutput[pid][RFocus]
research_penalty = (currentFocus[pid] != RFocus)
# calculate factor F at which II + F * IR == RI + F * RR =====> F = ( II-RI ) / (RR-IR)
thisFactor = (II - RI) / max(0.01, RR - IR) # don't let denominator be zero for planets where focus doesn't change RP
planet = planetMap[pid]
if adj_round == 2: # take research at planets with very cheap research
if (maxi_ratio < priorityRatio) and (curTargetRP < priorityRatio * ctPP0) and (thisFactor <= 1.0):
curTargetPP += RI
curTargetRP += RR
newFoci[pid] = RFocus
id_set.discard(pid)
continue
if adj_round == 3: # take research at planets where can do reasonable balance
if has_force or (foAI.foAIstate.aggression < fo.aggression.aggressive) or (curTargetRP >= priorityRatio * ctPP0):
continue
pop = planet.currentMeterValue(fo.meterType.population)
t_pop = planet.currentMeterValue(fo.meterType.targetPopulation)
# if AI is aggressive+, and this planet in range where temporary Research focus can get an additional RP at cost of 1 PP, and still need some RP, then do it
if pop < t_pop - 5:
continue
if (CI > II + 8) or (((RR > II) or ((RR - CR) >= 1 + 2 * research_penalty)) and ((RR - IR) >= 3) and ((CR - IR) >= 0.7 * ((II - CI) * (1 + 0.1 * research_penalty)))):
curTargetPP += CI - 1 - research_penalty
curTargetRP += CR + 1
newFoci[pid] = RFocus
id_set.discard(pid)
continue
# adj_round == 4 assume default IFocus
curTargetPP += II # icurTargets initially calculated by Industry focus, which will be our default focus
curTargetRP += IR
newFoci[pid] = IFocus
ratios.append((thisFactor, pid))
ratios.sort()
printedHeader = False
fociMap = {IFocus: "Industry", RFocus: "Research", MFocus: "Mining", GFocus: "Growth", PFocus: "Defense"}
gotAlgo = tech_is_complete("LRN_ALGO_ELEGANCE")
for ratio, pid in ratios:
do_research = False # (newFoci[pid]==RFocus)
if (priorityRatio < (curTargetRP / (curTargetPP + 0.0001))) and not do_research: # we have enough RP
if ratio < 1.1 and foAI.foAIstate.aggression > fo.aggression.cautious: # but wait, RP is still super cheap relative to PP, maybe will take more RP
if priorityRatio < 1.5 * (curTargetRP / (curTargetPP + 0.0001)): # yeah, really a glut of RP, stop taking RP
break
else: # RP not super cheap & we have enough, stop taking it
break
II, IR = newTargets[pid][IFocus]
RI, RR = newTargets[pid][RFocus]
# if currentFocus[pid] == MFocus:
# II = max( II, newTargets[pid][MFocus][0] )
if do_research or (gotAlgo and (
(ratio > 2.0 and curTargetPP < 15) or
(ratio > 2.5 and curTargetPP < 25 and II > 5) or
(ratio > 3.0 and curTargetPP < 40 and II > 5) or
(ratio > 4.0 and curTargetPP < 100 and II > 10) or
((curTargetRP + RR - IR) / max(0.001, curTargetPP - II + RI) > 2 * priorityRatio))): # we already have algo elegance and more RP would be too expensive, or overkill
if not printedHeader:
printedHeader = True
print "Rejecting further Research Focus choices as too expensive:"
print "%34s|%20s|%15s |%15s|%15s |%15s |%15s" % (" Planet ", " current RP/PP ", " current target RP/PP ", "current Focus ", " rejectedFocus ", " rejected target RP/PP ", "rejected RP-PP EQF")
oldFocus = currentFocus[pid]
cPP, cRP = currentOutput[pid][IFocus], currentOutput[pid][RFocus]
otPP, otRP = newTargets[pid].get(oldFocus, (0, 0))
ntPP, ntRP = newTargets[pid].get(RFocus, (0, 0))
print "pID (%3d) %22s | c: %5.1f / %5.1f | cT: %5.1f / %5.1f | cF: %8s | nF: %8s | cT: %5.1f / %5.1f | %.2f" % (pid, planetMap[pid].name, cRP, cPP, otRP, otPP, fociMap.get(oldFocus, 'unknown'), fociMap[RFocus], ntRP, ntPP, ratio)
continue # RP is getting too expensive, but might be willing to still allocate from a planet with less PP to lose
# if planetMap[pid].currentMeterValue(fo.meterType.targetPopulation) >0: #only set to research if pop won't die out
newFoci[pid] = RFocus
curTargetRP += (RR - IR)
curTargetPP -= (II - RI)
print "============================"
print "Planet Focus Assignments to achieve target RP/PP ratio of %.2f from current ratio of %.2f ( %.1f / %.1f )" % (priorityRatio, rp / (pp + 0.0001), rp, pp)
print "Max Industry assignments would result in target RP/PP ratio of %.2f ( %.1f / %.1f )" % (ctRP0 / (ctPP0 + 0.0001), ctRP0, ctPP0)
print "-------------------------------------"
print "%34s|%20s|%15s |%15s|%15s |%15s " % (" Planet ", " current RP/PP ", " current target RP/PP ", "current Focus ", " newFocus ", " new target RP/PP ")
totalChanged = 0
for id_set in empirePlanetIDs, preset_ids:
for pid in id_set:
canFocus = planetMap[pid].currentMeterValue(fo.meterType.targetPopulation) > 0
oldFocus = currentFocus[pid]
newFocus = newFoci.get(pid, IFocus)
cPP, cRP = currentOutput[pid][IFocus], currentOutput[pid][RFocus]
otPP, otRP = newTargets[pid].get(oldFocus, (0, 0))
ntPP, ntRP = otPP, otRP
if newFocus != oldFocus and newFocus in planetMap[pid].availableFoci: # planetMap[pid].focus
totalChanged += 1
if newFocus != planetMap[pid].focus:
result = fo.issueChangeFocusOrder(pid, newFocus)
if result == 1:
ntPP, ntRP = newTargets[pid].get(newFocus, (0, 0))
else:
print "Trouble changing focus of planet %s (%d) to %s" % (planetMap[pid].name, pid, newFocus)
print "pID (%3d) %22s | c: %5.1f / %5.1f | cT: %5.1f / %5.1f | cF: %8s | nF: %8s | cT: %5.1f / %5.1f " % (pid, planetMap[pid].name, cRP, cPP, otRP, otPP, fociMap.get(oldFocus, 'unknown'), fociMap[newFocus], ntRP, ntPP)
print "-------------------------------------"
print "-------------------------------------"
print "Final Ratio Target (turn %4d) RP/PP : %.2f ( %.1f / %.1f ) after %d Focus changes" % (fo.currentTurn(), curTargetRP / (curTargetPP + 0.0001), curTargetRP, curTargetPP, totalChanged)
resource_timer.end()
aPP, aRP = empire.productionPoints, empire.resourceProduction(fo.resourceType.research)
# Next string used in charts. Don't modify it!
print "Current Output (turn %4d) RP/PP : %.2f ( %.1f / %.1f )" % (fo.currentTurn(), aRP / (aPP + 0.0001), aRP, aPP)
print "------------------------"
print "ResourcesAI Time Requirements:"
def get_completed_techs():
"""Get completed and available for use techs."""
return [tech for tech in fo.techs() if tech_is_complete(tech)]
def calculateMilitaryPriority():
"""calculates the demand for military ships by military targeted systems"""
global unmetThreat
universe = fo.getUniverse()
empire = fo.getEmpire()
empireID = empire.empireID
capitalID = PlanetUtilsAI.get_capital()
if capitalID is not None and capitalID != -1:
homeworld = universe.getPlanet(capitalID)
else:
return 0 # no capitol (not even a capitol-in-the-making), means can't produce any ships
have_l1_weaps = (tech_is_complete("SHP_WEAPON_1_4")
or (tech_is_complete("SHP_WEAPON_1_3")
and tech_is_complete("SHP_MIL_ROBO_CONT"))
or tech_is_complete("SHP_WEAPON_2_1")
or tech_is_complete("SHP_WEAPON_4_1"))
have_l2_weaps = (tech_is_complete("SHP_WEAPON_2_3")
or tech_is_complete("SHP_WEAPON_4_1"))
enemies_sighted = foAI.foAIstate.misc.get('enemies_sighted', {})
allottedInvasionTargets = 1 + int(fo.currentTurn() / 25)
targetPlanetIDs = [
pid for pid, pscore, trp in
AIstate.invasionTargets[:allottedInvasionTargets]
] + [
pid for pid, pscore in foAI.foAIstate.colonisablePlanetIDs.items()
[:allottedColonyTargets]
] + [
pid for pid, pscore in foAI.foAIstate.colonisableOutpostIDs.items()
[:allottedColonyTargets]
]
mySystems = set(AIstate.popCtrSystemIDs).union(AIstate.outpostSystemIDs)
targetSystems = set(PlanetUtilsAI.get_systems(targetPlanetIDs))
curShipRating = ProductionAI.cur_best_mil_ship_rating()
cSRR = curShipRating**0.5
defense_ships_needed = 0
currentTurn = fo.currentTurn()
ships_needed = 0
defense_ships_needed = 0
ships_needed_allocation = []
for sysID in mySystems.union(targetSystems):
status = foAI.foAIstate.systemStatus.get(sysID, {})
myRating = status.get('myFleetRating', 0)
my_defenses = status.get('mydefenses', {}).get('overall', 0)
baseMonsterThreat = status.get('monsterThreat', 0)
#scale monster threat so that in early - mid game big monsters don't over-drive military production
monsterThreat = baseMonsterThreat
if currentTurn > 200:
pass
elif currentTurn > 100:
if baseMonsterThreat >= 2000:
monsterThreat = 2000 + (currentTurn / 100.0 -
1) * (baseMonsterThreat - 2000)
elif currentTurn > 30:
if baseMonsterThreat >= 2000:
monsterThreat = 0
else:
if baseMonsterThreat > 200:
monsterThreat = 0
if sysID in mySystems:
threatRoot = status.get('fleetThreat', 0)**0.5 + 0.8 * status.get(
'max_neighbor_threat', 0)**0.5 + 0.2 * status.get(
'neighborThreat',
0)**0.5 + monsterThreat**0.5 + status.get(
'planetThreat', 0)**0.5
else:
threatRoot = status.get('fleetThreat',
0)**0.5 + monsterThreat**0.5 + status.get(
'planetThreat', 0)**0.5
ships_needed_here = math.ceil(
(max(0, (threatRoot -
(myRating**0.5 + my_defenses**0.5)))**2) / curShipRating)
ships_needed += ships_needed_here
ships_needed_allocation.append((sysID, ships_needed_here))
if sysID in mySystems:
defense_ships_needed += ships_needed_here
scale = (75 + ProductionAI.curBestMilShipCost()) / 2.0
#militaryPriority = int( 40 + max(0, 75*unmetThreat / curShipRating) )
part1 = min(1 * fo.currentTurn(), 40)
part2 = max(0, int(75 * ships_needed))
militaryPriority = part1 + part2
#militaryPriority = min(1*fo.currentTurn(), 40) + max(0, int(scale*ships_needed))
if not have_l1_weaps:
militaryPriority /= 2.0
elif not (have_l2_weaps and enemies_sighted):
militaryPriority /= 1.5
#print "Calculating Military Priority: 40 + 75 * unmetThreat/curShipRating \n\t Priority: %d \t unmetThreat %.0f curShipRating: %.0f"%(militaryPriority, unmetThreat, curShipRating)
fmt_string = "Calculating Military Priority: min(t,40) + %d * ships_needed \n\t Priority: %d \t ships_needed: %d \t defense_ships_needed: %d \t curShipRating: %.0f \t l1_weaps: %s \t enemies_sighted: %s"
print fmt_string % (scale, militaryPriority, ships_needed,
defense_ships_needed, curShipRating, have_l1_weaps,
enemies_sighted)
print "Source of milship demand: ", ships_needed_allocation
if foAI.foAIstate.aggression < fo.aggression.typical:
militaryPriority *= (1.0 + foAI.foAIstate.aggression) / (
1.0 + fo.aggression.typical)
return max(militaryPriority, 0)
def set_planet_resource_foci():
"""set resource focus of planets """
newFoci = {}
print "\n============================"
print "Collecting info to assess Planet Focus Changes\n"
universe = fo.getUniverse()
empire = fo.getEmpire()
currentTurn = fo.currentTurn()
# set the random seed (based on galaxy seed, empire ID and current turn)
# for game-reload consistency
freq = min(3, (max(5, currentTurn - 80)) / 4.0)**(1.0 / 3)
if not (limitAssessments and
(abs(currentTurn - lastFociCheck[0]) < 1.5 * freq) and
(random.random() < 1.0 / freq)):
lastFociCheck[0] = currentTurn
resource_timer.start("getPlanets")
empirePlanetIDs = list(
PlanetUtilsAI.get_owned_planets_by_empire(universe.planetIDs))
resource_timer.start("Filter")
resource_timer.start("Priority")
# TODO: take into acct splintering of resource groups
# fleetSupplyableSystemIDs = empire.fleetSupplyableSystemIDs
# fleetSupplyablePlanetIDs = PlanetUtilsAI.get_planets_in__systems_ids(fleetSupplyableSystemIDs)
ppPrio = foAI.foAIstate.get_priority(
AIPriorityType.PRIORITY_RESOURCE_PRODUCTION)
rpPrio = foAI.foAIstate.get_priority(
AIPriorityType.PRIORITY_RESOURCE_RESEARCH)
priorityRatio = float(rpPrio) / (ppPrio + 0.0001)
resource_timer.start("Shuffle")
# not supporting Growth for general planets until also adding code to make sure would actually benefit
# shuffle(generalPlanetIDs)
resource_timer.start("Targets")
planets = map(universe.getPlanet, empirePlanetIDs)
planetMap.clear()
planetMap.update(zip(empirePlanetIDs, planets))
if useGrowth:
for metab, metabIncPop in ColonisationAI.empire_metabolisms.items(
):
for special in [
aspec
for aspec in AIDependencies.metabolismBoostMap.get(
metab, [])
if aspec in ColonisationAI.available_growth_specials
]:
rankedPlanets = []
for pid in ColonisationAI.available_growth_specials[
special]:
planet = planetMap[pid]
cur_focus = planet.focus
pop = planet.currentMeterValue(fo.meterType.population)
if (pop > metabIncPop - 2 * planet.size) or (
GFocus not in planet.availableFoci
): # not enough benefit to lose local production, or can't put growth focus here
continue
for special2 in ["COMPUTRONIUM_SPECIAL"]:
if special2 in planet.specials:
break
else: # didn't have any specials that would override interest in growth special
print "Considering Growth Focus for %s (%d) with special %s; planet has pop %.1f and %s metabolism incremental pop is %.1f" % (
planet.name, pid, special, pop, metab,
metabIncPop)
if cur_focus == GFocus:
pop -= 4 # discourage changing current focus to minimize focus-changing penalties
rankedPlanets.append((pop, pid, cur_focus))
if not rankedPlanets:
continue
rankedPlanets.sort()
print "Considering Growth Focus choice for special %s; possible planet pop, id pairs are %s" % (
metab, rankedPlanets)
for spSize, spPID, cur_focus in rankedPlanets: # index 0 should be able to set focus, but just in case...
result = 1
if cur_focus != GFocus:
result = fo.issueChangeFocusOrder(spPID, GFocus)
if result == 1:
newFoci[spPID] = GFocus
if spPID in empirePlanetIDs:
del empirePlanetIDs[empirePlanetIDs.index(
spPID)]
print "%s focus of planet %s (%d) at Growth Focus" % (
["set", "left"][cur_focus == GFocus],
planetMap[spPID].name, spPID)
break
else:
print "failed setting focus of planet %s (%d) at Growth Focus; focus left at %s" % (
planetMap[spPID].name, spPID,
planetMap[spPID].focus)
for pid in empirePlanetIDs:
planet = planetMap[pid]
if "COMPUTRONIUM_SPECIAL" in planet.specials: # TODO: ensure only one (extremely rarely needed)
curFocus = planet.focus
if RFocus not in planet.availableFoci:
continue
newFoci[pid] = RFocus
result = 0
if curFocus != RFocus:
result = fo.issueChangeFocusOrder(pid, RFocus)
if result == 1:
universe.updateMeterEstimates(empirePlanetIDs)
if curFocus == RFocus or result == 1:
print "%s focus of planet %s (%d) (with Computronium Moon) at Research Focus" % (
["set", "left"
][curFocus == RFocus], planetMap[pid].name, pid)
if pid in empirePlanetIDs:
del empirePlanetIDs[empirePlanetIDs.index(pid)]
elif (([
bld.buildingTypeName
for bld in map(universe.getObject, planet.buildingIDs)
if bld.buildingTypeName in
["BLD_CONC_CAMP", "BLD_CONC_CAMP_REMNANT"]
] != []) or ([
ccspec for ccspec in planet.specials if ccspec in
["CONC_CAMP_MASTER_SPECIAL", "CONC_CAMP_SLAVE_SPECIAL"]
] != [])):
if IFocus not in planet.availableFoci:
continue
curFocus = planet.focus
newFoci[pid] = IFocus
result = 0
if curFocus != IFocus:
result = fo.issueChangeFocusOrder(pid, IFocus)
if result == 1:
print(
"Tried setting %s for Concentration Camp planet %s (%d) with species %s and current focus %s, got result %d and focus %s"
% (newFoci[pid], planet.name, pid,
planet.speciesName, curFocus, result,
planetMap[pid].focus))
universe.updateMeterEstimates(empirePlanetIDs)
if (result != 1) or planetMap[pid].focus != IFocus:
newplanet = universe.getPlanet(pid)
print(
"Error: Failed setting %s for Concentration Camp planet %s (%d) with species %s and current focus %s, but new planet copy shows %s"
% (newFoci[pid], planetMap[pid].name, pid,
planetMap[pid].speciesName,
planetMap[pid].focus, newplanet.focus))
if curFocus == IFocus or result == 1:
print "%s focus of planet %s (%d) (with Concentration Camps/Remnants) at Industry Focus" % (
["set", "left"
][curFocus == IFocus], planetMap[pid].name, pid)
if pid in empirePlanetIDs:
del empirePlanetIDs[empirePlanetIDs.index(pid)]
# pp, rp = get_resource_target_totals(empirePlanetIDs, planetMap)
pp, rp = get_resource_target_totals(planetMap.keys())
print "\n-----------------------------------------"
print "Making Planet Focus Change Determinations\n"
ratios = []
# for each planet, calculate RP:PP value ratio at which industry/Mining focus and research focus would have the same total value, & sort by that
# include a bias to slightly discourage changing foci
curTargetPP = 0.001
curTargetRP = 0.001
resource_timer.start("Loop") # loop
has_force = tech_is_complete("CON_FRC_ENRG_STRC")
preset_ids = set(planetMap.keys()) - set(empirePlanetIDs)
ctPP0, ctRP0 = 0, 0
for pid in preset_ids:
nPP, nRP = newTargets.get(pid, {}).get(planetMap[pid].focus,
[0, 0])
curTargetPP += nPP
curTargetRP += nRP
iPP, iRP = newTargets.get(pid, {}).get(IFocus, [0, 0])
ctPP0 += iPP
ctRP0 += iRP
id_set = set(empirePlanetIDs)
for adj_round in [1, 2, 3, 4]:
maxi_ratio = ctRP0 / max(
0.01, ctPP0) # should only change between rounds 1 and 2
for pid in list(id_set):
if adj_round == 1: # tally max Industry
iPP, iRP = newTargets.get(pid, {}).get(IFocus, [0, 0])
ctPP0 += iPP
ctRP0 += iRP
continue
II, IR = newTargets[pid][IFocus]
RI, RR = newTargets[pid][RFocus]
CI, CR = currentOutput[pid][IFocus], currentOutput[pid][RFocus]
research_penalty = (currentFocus[pid] != RFocus)
# calculate factor F at which II + F * IR == RI + F * RR =====> F = ( II-RI ) / (RR-IR)
thisFactor = (II - RI) / max(
0.01, RR - IR
) # don't let denominator be zero for planets where focus doesn't change RP
planet = planetMap[pid]
if adj_round == 2: # take research at planets with very cheap research
if (maxi_ratio < priorityRatio) and (
curTargetRP <
priorityRatio * ctPP0) and (thisFactor <= 1.0):
curTargetPP += RI
curTargetRP += RR
newFoci[pid] = RFocus
id_set.discard(pid)
continue
if adj_round == 3: # take research at planets where can do reasonable balance
if has_force or (foAI.foAIstate.aggression <
fo.aggression.aggressive) or (
curTargetRP >= priorityRatio * ctPP0):
continue
pop = planet.currentMeterValue(fo.meterType.population)
t_pop = planet.currentMeterValue(
fo.meterType.targetPopulation)
# if AI is aggressive+, and this planet in range where temporary Research focus can get an additional RP at cost of 1 PP, and still need some RP, then do it
if pop < t_pop - 5:
continue
if (CI > II + 8) or (((RR > II) or (
(RR - CR) >= 1 + 2 * research_penalty)) and
((RR - IR) >= 3) and
((CR - IR) >= 0.7 *
((II - CI) *
(1 + 0.1 * research_penalty)))):
curTargetPP += CI - 1 - research_penalty
curTargetRP += CR + 1
newFoci[pid] = RFocus
id_set.discard(pid)
continue
# adj_round == 4 assume default IFocus
curTargetPP += II # icurTargets initially calculated by Industry focus, which will be our default focus
curTargetRP += IR
newFoci[pid] = IFocus
ratios.append((thisFactor, pid))
ratios.sort()
printedHeader = False
fociMap = {
IFocus: "Industry",
RFocus: "Research",
MFocus: "Mining",
GFocus: "Growth"
}
gotAlgo = tech_is_complete("LRN_ALGO_ELEGANCE")
for ratio, pid in ratios:
do_research = False # (newFoci[pid]==RFocus)
if (priorityRatio < (curTargetRP / (curTargetPP + 0.0001))
) and not do_research: # we have enough RP
if ratio < 1.1 and foAI.foAIstate.aggression > fo.aggression.cautious: # but wait, RP is still super cheap relative to PP, maybe will take more RP
if priorityRatio < 1.5 * (
curTargetRP / (curTargetPP + 0.0001)
): # yeah, really a glut of RP, stop taking RP
break
else: # RP not super cheap & we have enough, stop taking it
break
II, IR = newTargets[pid][IFocus]
RI, RR = newTargets[pid][RFocus]
# if currentFocus[pid] == MFocus:
# II = max( II, newTargets[pid][MFocus][0] )
if do_research or (
gotAlgo and
((ratio > 2.0 and curTargetPP < 15) or
(ratio > 2.5 and curTargetPP < 25 and II > 5) or
(ratio > 3.0 and curTargetPP < 40 and II > 5) or
(ratio > 4.0 and curTargetPP < 100 and II > 10) or
((curTargetRP + RR - IR) / max(0.001, curTargetPP - II + RI) >
2 * priorityRatio))
): # we already have algo elegance and more RP would be too expensive, or overkill
if not printedHeader:
printedHeader = True
print "Rejecting further Research Focus choices as too expensive:"
print "%34s|%20s|%15s |%15s|%15s |%15s |%15s" % (
" Planet ", " current RP/PP ",
" current target RP/PP ", "current Focus ",
" rejectedFocus ", " rejected target RP/PP ",
"rejected RP-PP EQF")
oldFocus = currentFocus[pid]
cPP, cRP = currentOutput[pid][IFocus], currentOutput[pid][
RFocus]
otPP, otRP = newTargets[pid].get(oldFocus, (0, 0))
ntPP, ntRP = newTargets[pid].get(RFocus, (0, 0))
print "pID (%3d) %22s | c: %5.1f / %5.1f | cT: %5.1f / %5.1f | cF: %8s | nF: %8s | cT: %5.1f / %5.1f | %.2f" % (
pid, planetMap[pid].name, cRP, cPP, otRP, otPP,
fociMap.get(oldFocus, 'unknown'), fociMap[RFocus],
ntRP, ntPP, ratio)
continue # RP is getting too expensive, but might be willing to still allocate from a planet with less PP to lose
# if planetMap[pid].currentMeterValue(fo.meterType.targetPopulation) >0: #only set to research if pop won't die out
newFoci[pid] = RFocus
curTargetRP += (RR - IR)
curTargetPP -= (II - RI)
print "============================"
print "Planet Focus Assignments to achieve target RP/PP ratio of %.2f from current ratio of %.2f ( %.1f / %.1f )" % (
priorityRatio, rp / (pp + 0.0001), rp, pp)
print "Max Industry assignments would result in target RP/PP ratio of %.2f ( %.1f / %.1f )" % (
ctRP0 / (ctPP0 + 0.0001), ctRP0, ctPP0)
print "-------------------------------------"
print "%34s|%20s|%15s |%15s|%15s |%15s " % (
" Planet ", " current RP/PP ",
" current target RP/PP ", "current Focus ", " newFocus ",
" new target RP/PP ")
totalChanged = 0
for id_set in empirePlanetIDs, preset_ids:
for pid in id_set:
canFocus = planetMap[pid].currentMeterValue(
fo.meterType.targetPopulation) > 0
oldFocus = currentFocus[pid]
newFocus = newFoci.get(pid, IFocus)
cPP, cRP = currentOutput[pid][IFocus], currentOutput[pid][
RFocus]
otPP, otRP = newTargets[pid].get(oldFocus, (0, 0))
ntPP, ntRP = otPP, otRP
if newFocus != oldFocus and newFocus in planetMap[
pid].availableFoci: # planetMap[pid].focus
totalChanged += 1
if newFocus != planetMap[pid].focus:
result = fo.issueChangeFocusOrder(pid, newFocus)
if result == 1:
ntPP, ntRP = newTargets[pid].get(newFocus, (0, 0))
else:
print "Trouble changing focus of planet %s (%d) to %s" % (
planetMap[pid].name, pid, newFocus)
print "pID (%3d) %22s | c: %5.1f / %5.1f | cT: %5.1f / %5.1f | cF: %8s | nF: %8s | cT: %5.1f / %5.1f " % (
pid, planetMap[pid].name, cRP, cPP, otRP, otPP,
fociMap.get(oldFocus,
'unknown'), fociMap[newFocus], ntRP, ntPP)
print "-------------------------------------"
print "-------------------------------------"
print "Final Ratio Target (turn %4d) RP/PP : %.2f ( %.1f / %.1f ) after %d Focus changes" % (
fo.currentTurn(), curTargetRP /
(curTargetPP + 0.0001), curTargetRP, curTargetPP, totalChanged)
resource_timer.end()
aPP, aRP = empire.productionPoints, empire.resourceProduction(
fo.resourceType.research)
# Next string used in charts. Don't modify it!
print "Current Output (turn %4d) RP/PP : %.2f ( %.1f / %.1f )" % (
fo.currentTurn(), aRP / (aPP + 0.0001), aRP, aPP)
print "------------------------"
print "ResourcesAI Time Requirements:"
def _calculate_research_priority():
"""Calculates the AI empire's demand for research."""
universe = fo.getUniverse()
empire = fo.getEmpire()
current_turn = fo.currentTurn()
enemies_sighted = foAI.foAIstate.misc.get('enemies_sighted', {})
recent_enemies = [x for x in enemies_sighted if x > current_turn - 8]
industry_priority = foAI.foAIstate.get_priority(PriorityType.RESOURCE_PRODUCTION)
got_algo = tech_is_complete(AIDependencies.LRN_ALGO_ELEGANCE)
got_quant = tech_is_complete(AIDependencies.LRN_QUANT_NET)
research_queue_list = ResearchAI.get_research_queue_techs()
orb_gen_tech = AIDependencies.PRO_ORBITAL_GEN
got_orb_gen = tech_is_complete(orb_gen_tech)
mgrav_prod_tech = AIDependencies.PRO_MICROGRAV_MAN
got_mgrav_prod = tech_is_complete(mgrav_prod_tech)
# got_solar_gen = tech_is_complete(AIDependencies.PRO_SOL_ORB_GEN)
milestone_techs = ["PRO_SENTIENT_AUTOMATION", "LRN_DISTRIB_THOUGHT", "LRN_QUANT_NET", "SHP_WEAPON_2_4", "SHP_WEAPON_3_2", "SHP_WEAPON_4_2"]
milestones_done = [mstone for mstone in milestone_techs if tech_is_complete(mstone)]
print "Research Milestones accomplished at turn %d: %s" % (current_turn, milestones_done)
total_pp = empire.productionPoints
total_rp = empire.resourceProduction(fo.resourceType.research)
industry_surge = (foAI.foAIstate.character.may_surge_industry(total_pp, total_rp) and
(((orb_gen_tech in research_queue_list[:2] or got_orb_gen) and state.have_gas_giant) or
((mgrav_prod_tech in research_queue_list[:2] or got_mgrav_prod) and state.have_asteroids)) and
(state.get_number_of_colonies() < 12))
# get current industry production & Target
owned_planet_ids = PlanetUtilsAI.get_owned_planets_by_empire(universe.planetIDs)
planets = map(universe.getPlanet, owned_planet_ids)
target_rp = sum(map(lambda x: x.currentMeterValue(fo.meterType.targetResearch), planets))
galaxy_is_sparse = ColonisationAI.galaxy_is_sparse()
enemies_sighted = foAI.foAIstate.misc.get('enemies_sighted', {})
style_index = foAI.foAIstate.character.preferred_research_cutoff([0, 1])
if foAI.foAIstate.character.may_maximize_research():
style_index += 1
cutoff_sets = [[25, 45, 70, 110], [30, 45, 70, 150], [25, 40, 80, 160]]
cutoffs = cutoff_sets[style_index]
settings = [[1.3, .7, .5, .4, .35], [1.4, 0.8, 0.6, 0.5, 0.35], [1.4, 0.8, 0.6, 0.5, 0.4]][style_index]
if (current_turn < cutoffs[0]) or (not got_algo) or ((style_index == 0) and not got_orb_gen and (current_turn < cutoffs[1])):
research_priority = settings[0] * industry_priority # high research at beginning of game to get easy gro tech and to get research booster Algotrithmic Elegance
elif (not got_orb_gen) or (current_turn < cutoffs[1]):
research_priority = settings[1] * industry_priority # med-high research
elif current_turn < cutoffs[2]:
research_priority = settings[2] * industry_priority # med-high industry
elif current_turn < cutoffs[3]:
research_priority = settings[3] * industry_priority # med-high industry
else:
research_queue = list(empire.researchQueue)
research_priority = settings[4] * industry_priority # high industry , low research
if len(research_queue) == 0:
research_priority = 0 # done with research
elif len(research_queue) < 5 and research_queue[-1].allocation > 0:
research_priority = len(research_queue) * 0.01 * industry_priority # barely not done with research
elif len(research_queue) < 10 and research_queue[-1].allocation > 0:
research_priority = (4 + 2 * len(research_queue)) * 0.01 * industry_priority # almost done with research
elif len(research_queue) < 20 and research_queue[int(len(research_queue) / 2)].allocation > 0:
research_priority *= 0.7 # closing in on end of research
if industry_surge:
if galaxy_is_sparse and not any(enemies_sighted):
research_priority *= 0.5
else:
research_priority *= 0.8
if ((tech_is_complete("SHP_WEAPON_2_4") or
tech_is_complete("SHP_WEAPON_4_1")) and
tech_is_complete(AIDependencies.PROD_AUTO_NAME)):
# industry_factor = [ [0.25, 0.2], [0.3, 0.25], [0.3, 0.25] ][style_index ]
# researchPriority = min(researchPriority, industry_factor[got_solar_gen]*industryPriority)
research_priority *= 0.9
if got_quant:
research_priority = min(research_priority + 0.1 * industry_priority, research_priority * 1.3)
research_priority = int(research_priority)
print "Research Production (current/target) : ( %.1f / %.1f )" % (total_rp, target_rp)
print "Priority for Research: %d (new target ~ %d RP)" % (research_priority, total_pp * research_priority / industry_priority)
if len(enemies_sighted) < (2 + current_turn/20.0): # TODO: adjust for colonisation priority
research_priority *= 1.2
if (current_turn > 20) and (len(recent_enemies) > 3):
research_priority *= 0.8
return research_priority
def is_possible(tech_name):
return all([empire.getTechStatus(tech_name) == fo.techStatus.researchable,
not tech_is_complete(tech_name),
not exclude_tech(tech_name),
tech_name not in queued_techs])
def _calculate_military_priority():
"""Calculates the demand for military ships by military targeted systems."""
global unmetThreat
universe = fo.getUniverse()
capital_id = PlanetUtilsAI.get_capital()
if capital_id is None or capital_id == INVALID_ID:
return 0 # no capitol (not even a capitol-in-the-making), means can't produce any ships
have_l1_weaps = (tech_is_complete("SHP_WEAPON_1_4") or
(tech_is_complete("SHP_WEAPON_1_3") and tech_is_complete("SHP_MIL_ROBO_CONT")) or
tech_is_complete("SHP_WEAPON_2_1") or
tech_is_complete("SHP_WEAPON_4_1"))
have_l2_weaps = (tech_is_complete("SHP_WEAPON_2_3") or
tech_is_complete("SHP_WEAPON_4_1"))
enemies_sighted = foAI.foAIstate.misc.get('enemies_sighted', {})
allotted_invasion_targets = 1 + int(fo.currentTurn()/25)
target_planet_ids = [pid for pid, pscore, trp in AIstate.invasionTargets[:allotted_invasion_targets]] + [pid for pid, pscore in foAI.foAIstate.colonisablePlanetIDs.items()[:allottedColonyTargets]] + [pid for pid, pscore in foAI.foAIstate.colonisableOutpostIDs.items()[:allottedColonyTargets]]
my_systems = set(AIstate.popCtrSystemIDs).union(AIstate.outpostSystemIDs)
target_systems = set(PlanetUtilsAI.get_systems(target_planet_ids))
cur_ship_rating = ProductionAI.cur_best_military_design_rating()
current_turn = fo.currentTurn()
ships_needed = 0
defense_ships_needed = 0
ships_needed_allocation = []
for sys_id in my_systems.union(target_systems):
status = foAI.foAIstate.systemStatus.get(sys_id, {})
my_rating = status.get('myFleetRating', 0)
my_defenses = status.get('mydefenses', {}).get('overall', 0)
base_monster_threat = status.get('monsterThreat', 0)
# scale monster threat so that in early - mid game big monsters don't over-drive military production
monster_threat = base_monster_threat
if current_turn > 200:
pass
elif current_turn > 100:
if base_monster_threat >= 2000:
monster_threat = 2000 + (current_turn / 100.0 - 1) * (base_monster_threat - 2000)
elif current_turn > 30:
if base_monster_threat >= 2000:
monster_threat = 0
else:
if base_monster_threat > 200:
monster_threat = 0
if sys_id in my_systems:
threat_root = status.get('fleetThreat', 0)**0.5 + 0.8*status.get('max_neighbor_threat', 0)**0.5 + 0.2*status.get('neighborThreat', 0)**0.5 + monster_threat**0.5 + status.get('planetThreat', 0)**0.5
else:
threat_root = status.get('fleetThreat', 0)**0.5 + monster_threat**0.5 + status.get('planetThreat', 0)**0.5
ships_needed_here = math.ceil((max(0, (threat_root - (my_rating ** 0.5 + my_defenses ** 0.5))) ** 2) / cur_ship_rating)
ships_needed += ships_needed_here
ships_needed_allocation.append((universe.getSystem(sys_id), ships_needed_here))
if sys_id in my_systems:
defense_ships_needed += ships_needed_here
part1 = min(1 * fo.currentTurn(), 40)
part2 = max(0, int(75 * ships_needed))
military_priority = part1 + part2
if not have_l1_weaps:
military_priority /= 2.0
elif not (have_l2_weaps and enemies_sighted):
military_priority /= 1.5
fmt_string = "Calculating Military Priority: min(t,40) + max(0,75 * ships_needed) \n\t Priority: %d \t ships_needed: %d \t defense_ships_needed: %d \t curShipRating: %.0f \t l1_weaps: %s \t enemies_sighted: %s"
print fmt_string % (military_priority, ships_needed, defense_ships_needed, cur_ship_rating, have_l1_weaps, enemies_sighted)
print "Source of milship demand: ", ships_needed_allocation
military_priority *= foAI.foAIstate.character.military_priority_scaling()
return max(military_priority, 0)
def evaluate_invasion_planet(planet_id, secure_fleet_missions, verbose=True):
"""Return the invasion value (score, troops) of a planet."""
universe = fo.getUniverse()
empire_id = fo.empireID()
detail = []
planet = universe.getPlanet(planet_id)
if planet is None:
debug("Invasion AI couldn't access any info for planet id %d" % planet_id)
return [0, 0]
system_id = planet.systemID
# by using the following instead of simply relying on stealth meter reading, can (sometimes) plan ahead even if
# planet is temporarily shrouded by an ion storm
predicted_detectable = EspionageAI.colony_detectable_by_empire(planet_id, empire=fo.empireID(),
default_result=False)
if not predicted_detectable:
if get_partial_visibility_turn(planet_id) < fo.currentTurn():
debug("InvasionAI predicts planet id %d to be stealthed" % planet_id)
return [0, 0]
else:
debug("InvasionAI predicts planet id %d to be stealthed" % planet_id +
", but somehow have current visibity anyway, will still consider as target")
# Check if the target planet was extra-stealthed somehow its system was last viewed
# this test below may augment the tests above, but can be thrown off by temporary combat-related sighting
system_last_seen = get_partial_visibility_turn(planet_id)
planet_last_seen = get_partial_visibility_turn(system_id)
if planet_last_seen < system_last_seen:
# TODO: track detection strength, order new scouting when it goes up
debug("Invasion AI considering planet id %d (stealthed at last view), still proceeding." % planet_id)
# get a baseline evaluation of the planet as determined by ColonisationAI
species_name = planet.speciesName
species = fo.getSpecies(species_name)
if not species or AIDependencies.TAG_DESTROYED_ON_CONQUEST in species.tags:
# this call iterates over this Empire's available species with which it could colonize after an invasion
planet_eval = ColonisationAI.assign_colonisation_values([planet_id], MissionType.INVASION, None, detail)
colony_base_value = max(0.75 * planet_eval.get(planet_id, [0])[0],
ColonisationAI.evaluate_planet(planet_id, MissionType.OUTPOST, None, detail))
else:
colony_base_value = ColonisationAI.evaluate_planet(planet_id, MissionType.INVASION, species_name, detail)
# Add extra score for all buildings on the planet
building_values = {"BLD_IMPERIAL_PALACE": 1000,
"BLD_CULTURE_ARCHIVES": 1000,
"BLD_AUTO_HISTORY_ANALYSER": 100,
"BLD_SHIPYARD_BASE": 100,
"BLD_SHIPYARD_ORG_ORB_INC": 200,
"BLD_SHIPYARD_ORG_XENO_FAC": 200,
"BLD_SHIPYARD_ORG_CELL_GRO_CHAMB": 200,
"BLD_SHIPYARD_CON_NANOROBO": 300,
"BLD_SHIPYARD_CON_GEOINT": 400,
"BLD_SHIPYARD_CON_ADV_ENGINE": 1000,
"BLD_SHIPYARD_AST": 300,
"BLD_SHIPYARD_AST_REF": 1000,
"BLD_SHIPYARD_ENRG_SOLAR": 1500,
"BLD_INDUSTRY_CENTER": 500,
"BLD_GAS_GIANT_GEN": 200,
"BLD_SOL_ORB_GEN": 800,
"BLD_BLACK_HOLE_POW_GEN": 2000,
"BLD_ENCLAVE_VOID": 500,
"BLD_NEUTRONIUM_EXTRACTOR": 2000,
"BLD_NEUTRONIUM_SYNTH": 2000,
"BLD_NEUTRONIUM_FORGE": 1000,
"BLD_CONC_CAMP": 100,
"BLD_BIOTERROR_PROJECTOR": 1000,
"BLD_SHIPYARD_ENRG_COMP": 3000,
}
bld_tally = 0
for bldType in [universe.getBuilding(bldg).buildingTypeName for bldg in planet.buildingIDs]:
bval = building_values.get(bldType, 50)
bld_tally += bval
detail.append("%s: %d" % (bldType, bval))
# Add extra score for unlocked techs when we conquer the species
tech_tally = 0
value_per_pp = 4
for unlocked_tech in AIDependencies.SPECIES_TECH_UNLOCKS.get(species_name, []):
if not tech_is_complete(unlocked_tech):
rp_cost = fo.getTech(unlocked_tech).researchCost(empire_id)
tech_value = value_per_pp * rp_cost
tech_tally += tech_value
detail.append("%s: %d" % (unlocked_tech, tech_value))
max_jumps = 8
capitol_id = PlanetUtilsAI.get_capital()
least_jumps_path = []
clear_path = True
if capitol_id:
homeworld = universe.getPlanet(capitol_id)
if homeworld and homeworld.systemID != INVALID_ID and system_id != INVALID_ID:
least_jumps_path = list(universe.leastJumpsPath(homeworld.systemID, system_id, empire_id))
max_jumps = len(least_jumps_path)
aistate = get_aistate()
system_status = aistate.systemStatus.get(system_id, {})
system_fleet_treat = system_status.get('fleetThreat', 1000)
system_monster_threat = system_status.get('monsterThreat', 0)
sys_total_threat = system_fleet_treat + system_monster_threat + system_status.get('planetThreat', 0)
max_path_threat = system_fleet_treat
mil_ship_rating = MilitaryAI.cur_best_mil_ship_rating()
for path_sys_id in least_jumps_path:
path_leg_status = aistate.systemStatus.get(path_sys_id, {})
path_leg_threat = path_leg_status.get('fleetThreat', 1000) + path_leg_status.get('monsterThreat', 0)
if path_leg_threat > 0.5 * mil_ship_rating:
clear_path = False
if path_leg_threat > max_path_threat:
max_path_threat = path_leg_threat
pop = planet.currentMeterValue(fo.meterType.population)
target_pop = planet.currentMeterValue(fo.meterType.targetPopulation)
troops = planet.currentMeterValue(fo.meterType.troops)
troop_regen = planet.currentMeterValue(fo.meterType.troops) - planet.initialMeterValue(fo.meterType.troops)
max_troops = planet.currentMeterValue(fo.meterType.maxTroops)
# TODO: refactor troop determination into function for use in mid-mission updates and also consider defender techs
max_troops += AIDependencies.TROOPS_PER_POP * (target_pop - pop)
this_system = universe.getSystem(system_id)
secure_targets = [system_id] + list(this_system.planetIDs)
system_secured = False
for mission in secure_fleet_missions:
if system_secured:
break
secure_fleet_id = mission.fleet.id
s_fleet = universe.getFleet(secure_fleet_id)
if not s_fleet or s_fleet.systemID != system_id:
continue
if mission.type in [MissionType.SECURE, MissionType.MILITARY]:
target_obj = mission.target.get_object()
if target_obj is not None and target_obj.id in secure_targets:
system_secured = True
break
system_secured = system_secured and system_status.get('myFleetRating', 0)
if verbose:
debug("Invasion eval of %s\n"
" - maxShields: %.1f\n"
" - sysFleetThreat: %.1f\n"
" - sysMonsterThreat: %.1f",
planet, planet.currentMeterValue(fo.meterType.maxShield), system_fleet_treat, system_monster_threat)
enemy_val = 0
if planet.owner != -1: # value in taking this away from an enemy
enemy_val = 20 * (planet.currentMeterValue(fo.meterType.targetIndustry) +
2*planet.currentMeterValue(fo.meterType.targetResearch))
# devalue invasions that would require too much military force
preferred_max_portion = MilitaryAI.get_preferred_max_military_portion_for_single_battle()
total_max_mil_rating = MilitaryAI.get_concentrated_tot_mil_rating()
threat_exponent = 2 # TODO: make this a character trait; higher aggression with a lower exponent
threat_factor = min(1, preferred_max_portion * total_max_mil_rating/(sys_total_threat+0.001))**threat_exponent
design_id, _, locs = ProductionAI.get_best_ship_info(PriorityType.PRODUCTION_INVASION)
if not locs or not universe.getPlanet(locs[0]):
# We are in trouble anyway, so just calculate whatever approximation...
build_time = 4
planned_troops = troops if system_secured else min(troops + troop_regen*(max_jumps + build_time), max_troops)
planned_troops += .01 # we must attack with more troops than there are defenders
troop_cost = math.ceil((planned_troops+_TROOPS_SAFETY_MARGIN) / 6.0) * 20 * FleetUtilsAI.get_fleet_upkeep()
else:
loc = locs[0]
species_here = universe.getPlanet(loc).speciesName
design = fo.getShipDesign(design_id)
cost_per_ship = design.productionCost(empire_id, loc)
build_time = design.productionTime(empire_id, loc)
troops_per_ship = CombatRatingsAI.weight_attack_troops(design.troopCapacity,
CombatRatingsAI.get_species_troops_grade(species_here))
planned_troops = troops if system_secured else min(troops + troop_regen*(max_jumps + build_time), max_troops)
planned_troops += .01 # we must attack with more troops than there are defenders
ships_needed = math.ceil((planned_troops+_TROOPS_SAFETY_MARGIN) / float(troops_per_ship))
troop_cost = ships_needed * cost_per_ship # fleet upkeep is already included in query from server
# apply some bias to expensive operations
normalized_cost = float(troop_cost) / max(fo.getEmpire().productionPoints, 1)
normalized_cost = max(1., normalized_cost)
cost_score = (normalized_cost**2 / 50.0) * troop_cost
base_score = colony_base_value + bld_tally + tech_tally + enemy_val - cost_score
# If the AI does have enough total miltary to attack this target, and the target is more than minimally valuable,
# don't let the threat_factor discount the adjusted value below MIN_INVASION_SCORE +1, so that if there are no
# other targets the AI could still pursue this one. Otherwise, scoring pressure from
# MilitaryAI.get_preferred_max_military_portion_for_single_battle might prevent the AI from attacking heavily
# defended but still defeatable targets even if it has no softer targets available.
if total_max_mil_rating > sys_total_threat and base_score > 2 * MIN_INVASION_SCORE:
threat_factor = max(threat_factor, (MIN_INVASION_SCORE + 1)/base_score)
planet_score = retaliation_risk_factor(planet.owner) * threat_factor * max(0, base_score)
if clear_path:
planet_score *= 1.5
if verbose:
debug(' - planet score: %.2f\n'
' - planned troops: %.2f\n'
' - projected troop cost: %.1f\n'
' - threat factor: %s\n'
' - planet detail: %s\n'
' - popval: %.1f\n'
' - bldval: %s\n'
' - enemyval: %s',
planet_score, planned_troops, troop_cost, threat_factor, detail, colony_base_value, bld_tally, enemy_val)
debug(' - system secured: %s' % system_secured)
return [planet_score, planned_troops]
def generate_research_orders():
"""generate research orders"""
report_adjustments = False
empire = fo.getEmpire()
empire_id = empire.empireID
enemies_sighted = foAI.foAIstate.misc.get('enemies_sighted', {})
galaxy_is_sparse = ColonisationAI.galaxy_is_sparse()
print "Research Queue Management:"
resource_production = empire.resourceProduction(fo.resourceType.research)
print "\nTotal Current Research Points: %.2f\n" % resource_production
print "Techs researched and available for use:"
completed_techs = sorted(list(get_completed_techs()))
tlist = completed_techs+3*[" "]
tlines = zip(tlist[0::3], tlist[1::3], tlist[2::3])
for tline in tlines:
print "%25s %25s %25s" % tline
print
#
# report techs currently at head of research queue
#
research_queue = empire.researchQueue
research_queue_list = get_research_queue_techs()
inProgressTechs.clear()
tech_turns_left = {}
if research_queue_list:
print "Techs currently at head of Research Queue:"
for element in list(research_queue)[:10]:
tech_turns_left[element.tech] = element.turnsLeft
if element.allocation > 0.0:
inProgressTechs[element.tech] = True
this_tech = fo.getTech(element.tech)
if not this_tech:
print "Error: can't retrieve tech ", element.tech
continue
missing_prereqs = [preReq for preReq in this_tech.recursivePrerequisites(empire_id) if preReq not in completed_techs]
# unlocked_items = [(uli.name, uli.type) for uli in this_tech.unlocked_items]
unlocked_items = [uli.name for uli in this_tech.unlockedItems]
if not missing_prereqs:
print " %25s allocated %6.2f RP -- unlockable items: %s " % (element.tech, element.allocation, unlocked_items)
else:
print " %25s allocated %6.2f RP -- missing preReqs: %s -- unlockable items: %s " % (element.tech, element.allocation, missing_prereqs, unlocked_items)
print
#
# set starting techs, or after turn 100 add any additional default techs
#
if (fo.currentTurn() == 1) or ((fo.currentTurn() < 5) and (len(research_queue_list) == 0)):
research_index = get_research_index()
new_tech = TechsListsAI.sparse_galaxy_techs(research_index) if galaxy_is_sparse else TechsListsAI.primary_meta_techs(research_index)
print "Empire %s (%d) is selecting research index %d" % (empire.name, empire_id, research_index)
# techs_to_enqueue = (set(new_tech)-(set(completed_techs)|set(research_queue_list)))
techs_to_enqueue = new_tech[:]
tech_base = set(completed_techs+research_queue_list)
techs_to_add = []
for tech in techs_to_enqueue:
if tech not in tech_base:
this_tech = fo.getTech(tech)
if this_tech is None:
print "Error: desired tech '%s' appears to not exist" % tech
continue
missing_prereqs = [preReq for preReq in this_tech.recursivePrerequisites(empire_id) if preReq not in tech_base]
techs_to_add.extend(missing_prereqs + [tech])
tech_base.update(missing_prereqs+[tech])
cum_cost = 0
print " Enqueued Tech: %20s \t\t %8s \t %s" % ("Name", "Cost", "CumulativeCost")
for name in techs_to_add:
try:
enqueue_res = fo.issueEnqueueTechOrder(name, -1)
if enqueue_res == 1:
this_tech = fo.getTech(name)
this_cost = 0
if this_tech:
this_cost = this_tech.researchCost(empire_id)
cum_cost += this_cost
print " Enqueued Tech: %20s \t\t %8.0f \t %8.0f" % (name, this_cost, cum_cost)
else:
print " Error: failed attempt to enqueued Tech: " + name
except:
print " Error: failed attempt to enqueued Tech: " + name
print " Error: exception triggered and caught: ", traceback.format_exc()
if foAI.foAIstate.aggression <= fo.aggression.cautious:
research_queue_list = get_research_queue_techs()
def_techs = TechsListsAI.defense_techs_1()
for def_tech in def_techs:
if def_tech not in research_queue_list[:5] and not tech_is_complete(def_tech):
res = fo.issueEnqueueTechOrder(def_tech, min(3, len(research_queue_list)))
print "Empire is very defensive, so attempted to fast-track %s, got result %d" % (def_tech, res)
if False and foAI.foAIstate.aggression >= fo.aggression.aggressive: # with current stats of Conc Camps, disabling this fast-track
research_queue_list = get_research_queue_techs()
if "CON_CONC_CAMP" in research_queue_list:
insert_idx = min(40, research_queue_list.index("CON_CONC_CAMP"))
else:
insert_idx = max(0, min(40, len(research_queue_list)-10))
if "SHP_DEFLECTOR_SHIELD" in research_queue_list:
insert_idx = min(insert_idx, research_queue_list.index("SHP_DEFLECTOR_SHIELD"))
for cc_tech in ["CON_ARCH_PSYCH", "CON_CONC_CAMP"]:
if cc_tech not in research_queue_list[:insert_idx + 1] and not tech_is_complete(cc_tech):
res = fo.issueEnqueueTechOrder(cc_tech, insert_idx)
msg = "Empire is very aggressive, so attempted to fast-track %s, got result %d" % (cc_tech, res)
if report_adjustments:
chat_human(msg)
else:
print msg
print""
generate_default_research_order()
print "\n\nAll techs:"
alltechs = fo.techs() # returns names of all techs
for tname in alltechs:
print tname
print "\n-------------------------------\nAll unqueued techs:"
# coveredTechs = new_tech+completed_techs
for tname in [tn for tn in alltechs if tn not in tech_base]:
print tname
elif fo.currentTurn() > 100:
generate_default_research_order()
research_queue_list = get_research_queue_techs()
num_techs_accelerated = 1 # will ensure leading tech doesn't get dislodged
got_ggg_tech = tech_is_complete("PRO_ORBITAL_GEN")
got_sym_bio = tech_is_complete("GRO_SYMBIOTIC_BIO")
got_xeno_gen = tech_is_complete("GRO_XENO_GENETICS")
#
# Consider accelerating techs; priority is
# Supply/Detect range
# xeno arch
# ast / GG
# gro xeno gen
# distrib thought
# quant net
# pro sing gen
# death ray 1 cleanup
#
# Supply range and detection range
if False: # disabled for now, otherwise just to help with cold-folding / organization
if len(foAI.foAIstate.colonisablePlanetIDs) == 0:
best_colony_site_score = 0
else:
best_colony_site_score = foAI.foAIstate.colonisablePlanetIDs.items()[0][1]
if len(foAI.foAIstate.colonisableOutpostIDs) == 0:
best_outpost_site_score = 0
else:
best_outpost_site_score = foAI.foAIstate.colonisableOutpostIDs.items()[0][1]
need_improved_scouting = (best_colony_site_score < 150 or best_outpost_site_score < 200)
if need_improved_scouting:
if not tech_is_complete("CON_ORBITAL_CON"):
num_techs_accelerated += 1
if ("CON_ORBITAL_CON" not in research_queue_list[:1 + num_techs_accelerated]) and (
tech_is_complete("PRO_FUSION_GEN") or ("PRO_FUSION_GEN" in research_queue_list[:1 + num_techs_accelerated])):
res = fo.issueEnqueueTechOrder("CON_ORBITAL_CON", num_techs_accelerated)
msg = "Empire has poor colony/outpost prospects, so attempted to fast-track %s, got result %d" % ("CON_ORBITAL_CON", res)
if report_adjustments:
chat_human(msg)
else:
print msg
elif not tech_is_complete("CON_CONTGRAV_ARCH"):
num_techs_accelerated += 1
if ("CON_CONTGRAV_ARCH" not in research_queue_list[:1+num_techs_accelerated]) and (
tech_is_complete("CON_METRO_INFRA")):
for supply_tech in [_s_tech for _s_tech in ["CON_ARCH_MONOFILS", "CON_CONTGRAV_ARCH"] if not tech_is_complete(_s_tech)]:
res = fo.issueEnqueueTechOrder(supply_tech, num_techs_accelerated)
msg = "Empire has poor colony/outpost prospects, so attempted to fast-track %s, got result %d" % (supply_tech, res)
if report_adjustments:
chat_human(msg)
else:
print msg
elif not tech_is_complete("CON_GAL_INFRA"):
num_techs_accelerated += 1
if ("CON_GAL_INFRA" not in research_queue_list[:1+num_techs_accelerated]) and (
tech_is_complete("PRO_SINGULAR_GEN")):
res = fo.issueEnqueueTechOrder("CON_GAL_INFRA", num_techs_accelerated)
msg = "Empire has poor colony/outpost prospects, so attempted to fast-track %s, got result %d" % ("CON_GAL_INFRA", res)
if report_adjustments:
chat_human(msg)
else:
print msg
else:
pass
research_queue_list = get_research_queue_techs()
# could add more supply tech
if False and not tech_is_complete("SPY_DETECT_2"): # disabled for now, detect2
num_techs_accelerated += 1
if "SPY_DETECT_2" not in research_queue_list[:2+num_techs_accelerated] and tech_is_complete("PRO_FUSION_GEN"):
if "CON_ORBITAL_CON" not in research_queue_list[:1+num_techs_accelerated]:
res = fo.issueEnqueueTechOrder("SPY_DETECT_2", num_techs_accelerated)
else:
co_idx = research_queue_list.index("CON_ORBITAL_CON")
res = fo.issueEnqueueTechOrder("SPY_DETECT_2", co_idx + 1)
msg = "Empire has poor colony/outpost prospects, so attempted to fast-track %s, got result %d" % ("CON_ORBITAL_CON", res)
if report_adjustments:
chat_human(msg)
else:
print msg
research_queue_list = get_research_queue_techs()
#
# check to accelerate xeno_arch
if True: # just to help with cold-folding / organization
if (ColonisationAI.gotRuins and not tech_is_complete("LRN_XENOARCH") and
foAI.foAIstate.aggression >= fo.aggression.typical):
if "LRN_ARTIF_MINDS" in research_queue_list:
insert_idx = 7 + research_queue_list.index("LRN_ARTIF_MINDS")
elif "GRO_SYMBIOTIC_BIO" in research_queue_list:
insert_idx = research_queue_list.index("GRO_SYMBIOTIC_BIO") + 1
else:
insert_idx = num_techs_accelerated
if "LRN_XENOARCH" not in research_queue_list[:insert_idx]:
for xenoTech in ["LRN_XENOARCH", "LRN_TRANSLING_THT", "LRN_PHYS_BRAIN", "LRN_ALGO_ELEGANCE"]:
if not tech_is_complete(xenoTech) and xenoTech not in research_queue_list[:(insert_idx + 4)]:
res = fo.issueEnqueueTechOrder(xenoTech, insert_idx)
num_techs_accelerated += 1
msg = "ANCIENT_RUINS: have an ancient ruins, so attempted to fast-track %s to enable LRN_XENOARCH, got result %d" % (xenoTech, res)
if report_adjustments:
chat_human(msg)
else:
print msg
research_queue_list = get_research_queue_techs()
if False and not enemies_sighted: # curently disabled
# params = [ (tech, gate, target_slot, add_tech_list), ]
params = [("GRO_XENO_GENETICS", "PRO_EXOBOTS", "PRO_EXOBOTS", ["GRO_GENETIC_MED", "GRO_XENO_GENETICS"]),
("PRO_EXOBOTS", "PRO_SENTIENT_AUTOMATION", "PRO_SENTIENT_AUTOMATION", ["PRO_EXOBOTS"]),
("PRO_SENTIENT_AUTOMATION", "PRO_NANOTECH_PROD", "PRO_NANOTECH_PROD", ["PRO_SENTIENT_AUTOMATION"]),
("PRO_INDUSTRY_CENTER_I", "GRO_SYMBIOTIC_BIO", "GRO_SYMBIOTIC_BIO", ["PRO_ROBOTIC_PROD", "PRO_FUSION_GEN", "PRO_INDUSTRY_CENTER_I"]),
("GRO_SYMBIOTIC_BIO", "SHP_ORG_HULL", "SHP_ZORTRIUM_PLATE", ["GRO_SYMBIOTIC_BIO"]),
]
for (tech, gate, target_slot, add_tech_list) in params:
if tech_is_complete(tech):
break
if tech_turns_left.get(gate, 0) not in [0, 1, 2]: # needs to exclude -1, the flag for no predicted completion
continue
if target_slot in research_queue_list:
target_index = 1 + research_queue_list.index(target_slot)
else:
target_index = num_techs_accelerated
for move_tech in add_tech_list:
print "for tech %s, target_slot %s, target_index:%s ; num_techs_accelerated:%s" % (move_tech, target_slot, target_index, num_techs_accelerated)
if tech_is_complete(move_tech):
continue
if target_index <= num_techs_accelerated:
num_techs_accelerated += 1
if move_tech not in research_queue_list[:1 + target_index]:
res = fo.issueEnqueueTechOrder(move_tech, target_index)
msg = "Research: To prioritize %s, have advanced %s to slot %d" % (tech, move_tech, target_index)
if report_adjustments:
chat_human(msg)
else:
print msg
target_index += 1
#
# check to accelerate asteroid or GG tech
if True: # just to help with cold-folding / organization
if ColonisationAI.got_ast:
insert_idx = num_techs_accelerated if "GRO_SYMBIOTIC_BIO" not in research_queue_list else research_queue_list.index("GRO_SYMBIOTIC_BIO")
ast_tech = "PRO_MICROGRAV_MAN"
if not (tech_is_complete(ast_tech) or ast_tech in research_queue_list[:(1 + insert_idx)]):
res = fo.issueEnqueueTechOrder(ast_tech, insert_idx)
num_techs_accelerated += 1
msg = "Asteroids: plan to colonize an asteroid belt, so attempted to fast-track %s , got result %d" % (ast_tech, res)
if report_adjustments:
chat_human(msg)
else:
print msg
research_queue_list = get_research_queue_techs()
elif tech_is_complete("SHP_ZORTRIUM_PLATE"):
insert_idx = (1 + insert_idx) if "LRN_FORCE_FIELD" not in research_queue_list else max(1 + insert_idx, research_queue_list.index("LRN_FORCE_FIELD") - 1)
for ast_tech in ["SHP_ASTEROID_HULLS", "SHP_IMPROVED_ENGINE_COUPLINGS"]:
if not tech_is_complete(ast_tech) and ast_tech not in research_queue_list[:insert_idx + 1]:
res = fo.issueEnqueueTechOrder(ast_tech, insert_idx)
num_techs_accelerated += 1
insert_idx += 1
msg = "Asteroids: plan to colonize an asteroid belt, so attempted to fast-track %s , got result %d" % (ast_tech, res)
print msg
if report_adjustments:
chat_human(msg)
research_queue_list = get_research_queue_techs()
if ColonisationAI.got_gg and not tech_is_complete("PRO_ORBITAL_GEN"):
fusion_idx = 0 if "PRO_FUSION_GEN" not in research_queue_list else (1 + research_queue_list.index("PRO_FUSION_GEN"))
forcefields_idx = 0 if "LRN_FORCE_FIELD" not in research_queue_list else (1 + research_queue_list.index("LRN_FORCE_FIELD"))
insert_idx = max(fusion_idx, forcefields_idx) if enemies_sighted else fusion_idx
if "PRO_ORBITAL_GEN" not in research_queue_list[:insert_idx+1]:
res = fo.issueEnqueueTechOrder("PRO_ORBITAL_GEN", insert_idx)
num_techs_accelerated += 1
msg = "GasGiant: plan to colonize a gas giant, so attempted to fast-track %s, got result %d" % ("PRO_ORBITAL_GEN", res)
print msg
if report_adjustments:
chat_human(msg)
research_queue_list = get_research_queue_techs()
#
# assess if our empire has any non-lousy colonizers, & boost gro_xeno_gen if we don't
if True: # just to help with cold-folding / organization
if got_ggg_tech and got_sym_bio and (not got_xeno_gen) and foAI.foAIstate.aggression >= fo.aggression.cautious:
most_adequate = 0
for specName in ColonisationAI.empire_colonizers:
environs = {}
this_spec = fo.getSpecies(specName)
if not this_spec:
continue
for ptype in [fo.planetType.swamp, fo.planetType.radiated, fo.planetType.toxic, fo.planetType.inferno, fo.planetType.barren, fo.planetType.tundra, fo.planetType.desert, fo.planetType.terran, fo.planetType.ocean, fo.planetType.asteroids]:
environ = this_spec.getPlanetEnvironment(ptype)
environs.setdefault(environ, []).append(ptype)
most_adequate = max(most_adequate, len(environs.get(fo.planetEnvironment.adequate, [])))
if most_adequate == 0:
insert_idx = num_techs_accelerated
for xg_tech in ["GRO_XENO_GENETICS", "GRO_GENETIC_ENG"]:
if xg_tech not in research_queue_list[:1+num_techs_accelerated] and not tech_is_complete(xg_tech):
res = fo.issueEnqueueTechOrder(xg_tech, insert_idx)
num_techs_accelerated += 1
msg = "Empire has poor colonizers, so attempted to fast-track %s, got result %d" % (xg_tech, res)
print msg
if report_adjustments:
chat_human(msg)
research_queue_list = get_research_queue_techs()
#
# check to accelerate distrib thought
if True: # just to help with cold-folding / organization
if not tech_is_complete("LRN_DISTRIB_THOUGHT"):
got_telepathy = False
for specName in ColonisationAI.empire_species:
this_spec = fo.getSpecies(specName)
if this_spec and ("TELEPATHIC" in list(this_spec.tags)):
got_telepathy = True
break
if (foAI.foAIstate.aggression > fo.aggression.cautious) and (empire.population() > ([300, 100][got_telepathy])):
insert_idx = num_techs_accelerated
for dt_ech in ["LRN_PHYS_BRAIN", "LRN_TRANSLING_THT", "LRN_PSIONICS", "LRN_DISTRIB_THOUGHT"]:
if dt_ech not in research_queue_list[:insert_idx + 2] and not tech_is_complete(dt_ech):
res = fo.issueEnqueueTechOrder(dt_ech, insert_idx)
num_techs_accelerated += 1
insert_idx += 1
fmt_str = "Empire has a telepathic race, so attempted to fast-track %s (got result %d)"
fmt_str += " with current target_RP %.1f and current pop %.1f, on turn %d"
msg = fmt_str % (dt_ech, res, resource_production, empire.population(), fo.currentTurn())
print msg
if report_adjustments:
chat_human(msg)
research_queue_list = get_research_queue_techs()
#
# check to accelerate quant net
if False: # disabled for now, otherwise just to help with cold-folding / organization
if (foAI.foAIstate.aggression > fo.aggression.cautious) and (ColonisationAI.empire_status.get('researchers', 0) >= 40):
if not tech_is_complete("LRN_QUANT_NET"):
insert_idx = num_techs_accelerated # TODO determine min target slot if reenabling
for qnTech in ["LRN_NDIM_SUBSPACE", "LRN_QUANT_NET"]:
if qnTech not in research_queue_list[:insert_idx + 2] and not tech_is_complete(qnTech):
res = fo.issueEnqueueTechOrder(qnTech, insert_idx)
num_techs_accelerated += 1
insert_idx += 1
msg = "Empire has many researchers, so attempted to fast-track %s (got result %d) on turn %d" % (qnTech, res, fo.currentTurn())
print msg
if report_adjustments:
chat_human(msg)
research_queue_list = get_research_queue_techs()
#
# if we own a blackhole, accelerate sing_gen and conc camp
if True: # just to help with cold-folding / organization
if (fo.currentTurn() > 50 and len(AIstate.empireStars.get(fo.starType.blackHole, [])) != 0 and
foAI.foAIstate.aggression > fo.aggression.cautious and not tech_is_complete(AIDependencies.PRO_SINGULAR_GEN) and
tech_is_complete(AIDependencies.PRO_SOL_ORB_GEN)):
# sing_tech_list = [ "LRN_GRAVITONICS" , "PRO_SINGULAR_GEN"] # formerly also "CON_ARCH_PSYCH", "CON_CONC_CAMP",
sing_gen_tech = fo.getTech(AIDependencies.PRO_SINGULAR_GEN)
sing_tech_list = [pre_req for pre_req in sing_gen_tech.recursivePrerequisites(empire_id) if not tech_is_complete(pre_req)]
sing_tech_list += [AIDependencies.PRO_SINGULAR_GEN]
for singTech in sing_tech_list:
if singTech not in research_queue_list[:num_techs_accelerated+1]:
res = fo.issueEnqueueTechOrder(singTech, num_techs_accelerated)
num_techs_accelerated += 1
msg = "have a black hole star outpost/colony, so attempted to fast-track %s, got result %d" % (singTech, res)
print msg
if report_adjustments:
chat_human(msg)
research_queue_list = get_research_queue_techs()
#
# if got deathray from Ruins, remove most prereqs from queue
if True: # just to help with cold-folding / organization
if tech_is_complete("SHP_WEAPON_4_1"):
this_tech = fo.getTech("SHP_WEAPON_4_1")
if this_tech:
missing_prereqs = [preReq for preReq in this_tech.recursivePrerequisites(empire_id) if preReq in research_queue_list]
if len(missing_prereqs) > 2: # leave plasma 4 and 3 if up to them already
for preReq in missing_prereqs: # sorted(missing_prereqs, reverse=True)[2:]
if preReq in research_queue_list:
fo.issueDequeueTechOrder(preReq)
research_queue_list = get_research_queue_techs()
if "SHP_WEAPON_4_2" in research_queue_list: # (should be)
idx = research_queue_list.index("SHP_WEAPON_4_2")
fo.issueEnqueueTechOrder("SHP_WEAPON_4_2", max(0, idx-18))
def generate_research_orders():
"""generate research orders"""
report_adjustments = False
empire = fo.getEmpire()
empire_id = empire.empireID
enemies_sighted = foAI.foAIstate.misc.get('enemies_sighted', {})
galaxy_is_sparse = ColonisationAI.galaxy_is_sparse()
print "Research Queue Management:"
resource_production = empire.resourceProduction(fo.resourceType.research)
print "\nTotal Current Research Points: %.2f\n" % resource_production
print "Techs researched and available for use:"
completed_techs = sorted(list(get_completed_techs()))
tlist = completed_techs + 3 * [" "]
tlines = zip(tlist[0::3], tlist[1::3], tlist[2::3])
for tline in tlines:
print "%25s %25s %25s" % tline
print
#
# report techs currently at head of research queue
#
research_queue = empire.researchQueue
research_queue_list = get_research_queue_techs()
inProgressTechs.clear()
tech_turns_left = {}
if research_queue_list:
print "Techs currently at head of Research Queue:"
for element in list(research_queue)[:10]:
tech_turns_left[element.tech] = element.turnsLeft
if element.allocation > 0.0:
inProgressTechs[element.tech] = True
this_tech = fo.getTech(element.tech)
if not this_tech:
print "Error: can't retrieve tech ", element.tech
continue
missing_prereqs = [
preReq
for preReq in this_tech.recursivePrerequisites(empire_id)
if preReq not in completed_techs
]
# unlocked_items = [(uli.name, uli.type) for uli in this_tech.unlocked_items]
unlocked_items = [uli.name for uli in this_tech.unlockedItems]
if not missing_prereqs:
print " %25s allocated %6.2f RP -- unlockable items: %s " % (
element.tech, element.allocation, unlocked_items)
else:
print " %25s allocated %6.2f RP -- missing preReqs: %s -- unlockable items: %s " % (
element.tech, element.allocation, missing_prereqs,
unlocked_items)
print
#
# set starting techs, or after turn 100 add any additional default techs
#
if (fo.currentTurn() == 1) or ((fo.currentTurn() < 5) and
(len(research_queue_list) == 0)):
research_index = get_research_index()
new_tech = TechsListsAI.sparse_galaxy_techs(
research_index
) if galaxy_is_sparse else TechsListsAI.primary_meta_techs(
research_index)
print "Empire %s (%d) is selecting research index %d" % (
empire.name, empire_id, research_index)
# techs_to_enqueue = (set(new_tech)-(set(completed_techs)|set(research_queue_list)))
techs_to_enqueue = new_tech[:]
tech_base = set(completed_techs + research_queue_list)
techs_to_add = []
for tech in techs_to_enqueue:
if tech not in tech_base:
this_tech = fo.getTech(tech)
if this_tech is None:
print "Error: desired tech '%s' appears to not exist" % tech
continue
missing_prereqs = [
preReq
for preReq in this_tech.recursivePrerequisites(empire_id)
if preReq not in tech_base
]
techs_to_add.extend(missing_prereqs + [tech])
tech_base.update(missing_prereqs + [tech])
cum_cost = 0
print " Enqueued Tech: %20s \t\t %8s \t %s" % ("Name", "Cost",
"CumulativeCost")
for name in techs_to_add:
try:
enqueue_res = fo.issueEnqueueTechOrder(name, -1)
if enqueue_res == 1:
this_tech = fo.getTech(name)
this_cost = 0
if this_tech:
this_cost = this_tech.researchCost(empire_id)
cum_cost += this_cost
print " Enqueued Tech: %20s \t\t %8.0f \t %8.0f" % (
name, this_cost, cum_cost)
else:
print " Error: failed attempt to enqueued Tech: " + name
except:
print " Error: failed attempt to enqueued Tech: " + name
print " Error: exception triggered and caught: ", traceback.format_exc(
)
if foAI.foAIstate.aggression <= fo.aggression.cautious:
research_queue_list = get_research_queue_techs()
def_techs = TechsListsAI.defense_techs_1()
for def_tech in def_techs:
if def_tech not in research_queue_list[:
5] and not tech_is_complete(
def_tech):
res = fo.issueEnqueueTechOrder(
def_tech, min(3, len(research_queue_list)))
print "Empire is very defensive, so attempted to fast-track %s, got result %d" % (
def_tech, res)
if False and foAI.foAIstate.aggression >= fo.aggression.aggressive: # with current stats of Conc Camps, disabling this fast-track
research_queue_list = get_research_queue_techs()
if "CON_CONC_CAMP" in research_queue_list:
insert_idx = min(40,
research_queue_list.index("CON_CONC_CAMP"))
else:
insert_idx = max(0, min(40, len(research_queue_list) - 10))
if "SHP_DEFLECTOR_SHIELD" in research_queue_list:
insert_idx = min(
insert_idx,
research_queue_list.index("SHP_DEFLECTOR_SHIELD"))
for cc_tech in ["CON_ARCH_PSYCH", "CON_CONC_CAMP"]:
if cc_tech not in research_queue_list[:insert_idx +
1] and not tech_is_complete(
cc_tech):
res = fo.issueEnqueueTechOrder(cc_tech, insert_idx)
msg = "Empire is very aggressive, so attempted to fast-track %s, got result %d" % (
cc_tech, res)
if report_adjustments:
chat_human(msg)
else:
print msg
print ""
generate_default_research_order()
print "\n\nAll techs:"
alltechs = fo.techs() # returns names of all techs
for tname in alltechs:
print tname
print "\n-------------------------------\nAll unqueued techs:"
# coveredTechs = new_tech+completed_techs
for tname in [tn for tn in alltechs if tn not in tech_base]:
print tname
elif fo.currentTurn() > 100:
generate_default_research_order()
research_queue_list = get_research_queue_techs()
num_techs_accelerated = 1 # will ensure leading tech doesn't get dislodged
got_ggg_tech = tech_is_complete("PRO_ORBITAL_GEN")
got_sym_bio = tech_is_complete("GRO_SYMBIOTIC_BIO")
got_xeno_gen = tech_is_complete("GRO_XENO_GENETICS")
#
# Consider accelerating techs; priority is
# Supply/Detect range
# xeno arch
# ast / GG
# gro xeno gen
# distrib thought
# quant net
# pro sing gen
# death ray 1 cleanup
#
# Supply range and detection range
if False: # disabled for now, otherwise just to help with cold-folding / organization
if len(foAI.foAIstate.colonisablePlanetIDs) == 0:
best_colony_site_score = 0
else:
best_colony_site_score = foAI.foAIstate.colonisablePlanetIDs.items(
)[0][1]
if len(foAI.foAIstate.colonisableOutpostIDs) == 0:
best_outpost_site_score = 0
else:
best_outpost_site_score = foAI.foAIstate.colonisableOutpostIDs.items(
)[0][1]
need_improved_scouting = (best_colony_site_score < 150
or best_outpost_site_score < 200)
if need_improved_scouting:
if not tech_is_complete("CON_ORBITAL_CON"):
num_techs_accelerated += 1
if ("CON_ORBITAL_CON"
not in research_queue_list[:1 + num_techs_accelerated]
) and (tech_is_complete("PRO_FUSION_GEN") or
("PRO_FUSION_GEN"
in research_queue_list[:1 +
num_techs_accelerated])):
res = fo.issueEnqueueTechOrder("CON_ORBITAL_CON",
num_techs_accelerated)
msg = "Empire has poor colony/outpost prospects, so attempted to fast-track %s, got result %d" % (
"CON_ORBITAL_CON", res)
if report_adjustments:
chat_human(msg)
else:
print msg
elif not tech_is_complete("CON_CONTGRAV_ARCH"):
num_techs_accelerated += 1
if ("CON_CONTGRAV_ARCH"
not in research_queue_list[:1 + num_techs_accelerated]
) and (tech_is_complete("CON_METRO_INFRA")):
for supply_tech in [
_s_tech for _s_tech in
["CON_ARCH_MONOFILS", "CON_CONTGRAV_ARCH"]
if not tech_is_complete(_s_tech)
]:
res = fo.issueEnqueueTechOrder(supply_tech,
num_techs_accelerated)
msg = "Empire has poor colony/outpost prospects, so attempted to fast-track %s, got result %d" % (
supply_tech, res)
if report_adjustments:
chat_human(msg)
else:
print msg
elif not tech_is_complete("CON_GAL_INFRA"):
num_techs_accelerated += 1
if ("CON_GAL_INFRA"
not in research_queue_list[:1 + num_techs_accelerated]
) and (tech_is_complete("PRO_SINGULAR_GEN")):
res = fo.issueEnqueueTechOrder("CON_GAL_INFRA",
num_techs_accelerated)
msg = "Empire has poor colony/outpost prospects, so attempted to fast-track %s, got result %d" % (
"CON_GAL_INFRA", res)
if report_adjustments:
chat_human(msg)
else:
print msg
else:
pass
research_queue_list = get_research_queue_techs()
# could add more supply tech
if False and not tech_is_complete(
"SPY_DETECT_2"): # disabled for now, detect2
num_techs_accelerated += 1
if "SPY_DETECT_2" not in research_queue_list[:2 +
num_techs_accelerated] and tech_is_complete(
"PRO_FUSION_GEN"
):
if "CON_ORBITAL_CON" not in research_queue_list[:1 +
num_techs_accelerated]:
res = fo.issueEnqueueTechOrder("SPY_DETECT_2",
num_techs_accelerated)
else:
co_idx = research_queue_list.index("CON_ORBITAL_CON")
res = fo.issueEnqueueTechOrder("SPY_DETECT_2",
co_idx + 1)
msg = "Empire has poor colony/outpost prospects, so attempted to fast-track %s, got result %d" % (
"CON_ORBITAL_CON", res)
if report_adjustments:
chat_human(msg)
else:
print msg
research_queue_list = get_research_queue_techs()
#
# check to accelerate xeno_arch
if True: # just to help with cold-folding / organization
if (ColonisationAI.gotRuins and not tech_is_complete("LRN_XENOARCH")
and foAI.foAIstate.aggression >= fo.aggression.typical):
if "LRN_ARTIF_MINDS" in research_queue_list:
insert_idx = 7 + research_queue_list.index("LRN_ARTIF_MINDS")
elif "GRO_SYMBIOTIC_BIO" in research_queue_list:
insert_idx = research_queue_list.index("GRO_SYMBIOTIC_BIO") + 1
else:
insert_idx = num_techs_accelerated
if "LRN_XENOARCH" not in research_queue_list[:insert_idx]:
for xenoTech in [
"LRN_XENOARCH", "LRN_TRANSLING_THT", "LRN_PHYS_BRAIN",
"LRN_ALGO_ELEGANCE"
]:
if not tech_is_complete(
xenoTech
) and xenoTech not in research_queue_list[:(insert_idx +
4)]:
res = fo.issueEnqueueTechOrder(xenoTech, insert_idx)
num_techs_accelerated += 1
msg = "ANCIENT_RUINS: have an ancient ruins, so attempted to fast-track %s to enable LRN_XENOARCH, got result %d" % (
xenoTech, res)
if report_adjustments:
chat_human(msg)
else:
print msg
research_queue_list = get_research_queue_techs()
if False and not enemies_sighted: # curently disabled
# params = [ (tech, gate, target_slot, add_tech_list), ]
params = [
("GRO_XENO_GENETICS", "PRO_EXOBOTS", "PRO_EXOBOTS",
["GRO_GENETIC_MED", "GRO_XENO_GENETICS"]),
("PRO_EXOBOTS", "PRO_SENTIENT_AUTOMATION",
"PRO_SENTIENT_AUTOMATION", ["PRO_EXOBOTS"]),
("PRO_SENTIENT_AUTOMATION", "PRO_NANOTECH_PROD",
"PRO_NANOTECH_PROD", ["PRO_SENTIENT_AUTOMATION"]),
("PRO_INDUSTRY_CENTER_I", "GRO_SYMBIOTIC_BIO", "GRO_SYMBIOTIC_BIO",
["PRO_ROBOTIC_PROD", "PRO_FUSION_GEN", "PRO_INDUSTRY_CENTER_I"]),
("GRO_SYMBIOTIC_BIO", "SHP_ORG_HULL", "SHP_ZORTRIUM_PLATE",
["GRO_SYMBIOTIC_BIO"]),
]
for (tech, gate, target_slot, add_tech_list) in params:
if tech_is_complete(tech):
break
if tech_turns_left.get(gate, 0) not in [
0, 1, 2
]: # needs to exclude -1, the flag for no predicted completion
continue
if target_slot in research_queue_list:
target_index = 1 + research_queue_list.index(target_slot)
else:
target_index = num_techs_accelerated
for move_tech in add_tech_list:
print "for tech %s, target_slot %s, target_index:%s ; num_techs_accelerated:%s" % (
move_tech, target_slot, target_index,
num_techs_accelerated)
if tech_is_complete(move_tech):
continue
if target_index <= num_techs_accelerated:
num_techs_accelerated += 1
if move_tech not in research_queue_list[:1 + target_index]:
res = fo.issueEnqueueTechOrder(move_tech, target_index)
msg = "Research: To prioritize %s, have advanced %s to slot %d" % (
tech, move_tech, target_index)
if report_adjustments:
chat_human(msg)
else:
print msg
target_index += 1
#
# check to accelerate asteroid or GG tech
if True: # just to help with cold-folding / organization
if ColonisationAI.got_ast:
insert_idx = num_techs_accelerated if "GRO_SYMBIOTIC_BIO" not in research_queue_list else research_queue_list.index(
"GRO_SYMBIOTIC_BIO")
ast_tech = "PRO_MICROGRAV_MAN"
if not (tech_is_complete(ast_tech)
or ast_tech in research_queue_list[:(1 + insert_idx)]):
res = fo.issueEnqueueTechOrder(ast_tech, insert_idx)
num_techs_accelerated += 1
msg = "Asteroids: plan to colonize an asteroid belt, so attempted to fast-track %s , got result %d" % (
ast_tech, res)
if report_adjustments:
chat_human(msg)
else:
print msg
research_queue_list = get_research_queue_techs()
elif tech_is_complete("SHP_ZORTRIUM_PLATE"):
insert_idx = (
1 + insert_idx
) if "LRN_FORCE_FIELD" not in research_queue_list else max(
1 + insert_idx,
research_queue_list.index("LRN_FORCE_FIELD") - 1)
for ast_tech in [
"SHP_ASTEROID_HULLS", "SHP_IMPROVED_ENGINE_COUPLINGS"
]:
if not tech_is_complete(
ast_tech
) and ast_tech not in research_queue_list[:insert_idx + 1]:
res = fo.issueEnqueueTechOrder(ast_tech, insert_idx)
num_techs_accelerated += 1
insert_idx += 1
msg = "Asteroids: plan to colonize an asteroid belt, so attempted to fast-track %s , got result %d" % (
ast_tech, res)
print msg
if report_adjustments:
chat_human(msg)
research_queue_list = get_research_queue_techs()
if ColonisationAI.got_gg and not tech_is_complete("PRO_ORBITAL_GEN"):
fusion_idx = 0 if "PRO_FUSION_GEN" not in research_queue_list else (
1 + research_queue_list.index("PRO_FUSION_GEN"))
forcefields_idx = 0 if "LRN_FORCE_FIELD" not in research_queue_list else (
1 + research_queue_list.index("LRN_FORCE_FIELD"))
insert_idx = max(
fusion_idx, forcefields_idx) if enemies_sighted else fusion_idx
if "PRO_ORBITAL_GEN" not in research_queue_list[:insert_idx + 1]:
res = fo.issueEnqueueTechOrder("PRO_ORBITAL_GEN", insert_idx)
num_techs_accelerated += 1
msg = "GasGiant: plan to colonize a gas giant, so attempted to fast-track %s, got result %d" % (
"PRO_ORBITAL_GEN", res)
print msg
if report_adjustments:
chat_human(msg)
research_queue_list = get_research_queue_techs()
#
# assess if our empire has any non-lousy colonizers, & boost gro_xeno_gen if we don't
if True: # just to help with cold-folding / organization
if got_ggg_tech and got_sym_bio and (
not got_xeno_gen
) and foAI.foAIstate.aggression >= fo.aggression.cautious:
most_adequate = 0
for specName in ColonisationAI.empire_colonizers:
environs = {}
this_spec = fo.getSpecies(specName)
if not this_spec:
continue
for ptype in [
fo.planetType.swamp, fo.planetType.radiated,
fo.planetType.toxic, fo.planetType.inferno,
fo.planetType.barren, fo.planetType.tundra,
fo.planetType.desert, fo.planetType.terran,
fo.planetType.ocean, fo.planetType.asteroids
]:
environ = this_spec.getPlanetEnvironment(ptype)
environs.setdefault(environ, []).append(ptype)
most_adequate = max(
most_adequate,
len(environs.get(fo.planetEnvironment.adequate, [])))
if most_adequate == 0:
insert_idx = num_techs_accelerated
for xg_tech in ["GRO_XENO_GENETICS", "GRO_GENETIC_ENG"]:
if xg_tech not in research_queue_list[:1 +
num_techs_accelerated] and not tech_is_complete(
xg_tech):
res = fo.issueEnqueueTechOrder(xg_tech, insert_idx)
num_techs_accelerated += 1
msg = "Empire has poor colonizers, so attempted to fast-track %s, got result %d" % (
xg_tech, res)
print msg
if report_adjustments:
chat_human(msg)
research_queue_list = get_research_queue_techs()
#
# check to accelerate distrib thought
if True: # just to help with cold-folding / organization
if not tech_is_complete("LRN_DISTRIB_THOUGHT"):
got_telepathy = False
for specName in ColonisationAI.empire_species:
this_spec = fo.getSpecies(specName)
if this_spec and ("TELEPATHIC" in list(this_spec.tags)):
got_telepathy = True
break
if (foAI.foAIstate.aggression >
fo.aggression.cautious) and (empire.population() >
([300, 100][got_telepathy])):
insert_idx = num_techs_accelerated
for dt_ech in [
"LRN_PHYS_BRAIN", "LRN_TRANSLING_THT", "LRN_PSIONICS",
"LRN_DISTRIB_THOUGHT"
]:
if dt_ech not in research_queue_list[:insert_idx +
2] and not tech_is_complete(
dt_ech):
res = fo.issueEnqueueTechOrder(dt_ech, insert_idx)
num_techs_accelerated += 1
insert_idx += 1
fmt_str = "Empire has a telepathic race, so attempted to fast-track %s (got result %d)"
fmt_str += " with current target_RP %.1f and current pop %.1f, on turn %d"
msg = fmt_str % (dt_ech, res, resource_production,
empire.population(), fo.currentTurn())
print msg
if report_adjustments:
chat_human(msg)
research_queue_list = get_research_queue_techs()
#
# check to accelerate quant net
if False: # disabled for now, otherwise just to help with cold-folding / organization
if (foAI.foAIstate.aggression > fo.aggression.cautious) and (
ColonisationAI.empire_status.get('researchers', 0) >= 40):
if not tech_is_complete("LRN_QUANT_NET"):
insert_idx = num_techs_accelerated # TODO determine min target slot if reenabling
for qnTech in ["LRN_NDIM_SUBSPACE", "LRN_QUANT_NET"]:
if qnTech not in research_queue_list[:insert_idx +
2] and not tech_is_complete(
qnTech):
res = fo.issueEnqueueTechOrder(qnTech, insert_idx)
num_techs_accelerated += 1
insert_idx += 1
msg = "Empire has many researchers, so attempted to fast-track %s (got result %d) on turn %d" % (
qnTech, res, fo.currentTurn())
print msg
if report_adjustments:
chat_human(msg)
research_queue_list = get_research_queue_techs()
#
# if we own a blackhole, accelerate sing_gen and conc camp
if True: # just to help with cold-folding / organization
if (fo.currentTurn() > 50 and
len(AIstate.empireStars.get(fo.starType.blackHole, [])) != 0
and foAI.foAIstate.aggression > fo.aggression.cautious
and not tech_is_complete(AIDependencies.PRO_SINGULAR_GEN)
and tech_is_complete(AIDependencies.PRO_SOL_ORB_GEN)):
# sing_tech_list = [ "LRN_GRAVITONICS" , "PRO_SINGULAR_GEN"] # formerly also "CON_ARCH_PSYCH", "CON_CONC_CAMP",
sing_gen_tech = fo.getTech(AIDependencies.PRO_SINGULAR_GEN)
sing_tech_list = [
pre_req
for pre_req in sing_gen_tech.recursivePrerequisites(empire_id)
if not tech_is_complete(pre_req)
]
sing_tech_list += [AIDependencies.PRO_SINGULAR_GEN]
for singTech in sing_tech_list:
if singTech not in research_queue_list[:num_techs_accelerated +
1]:
res = fo.issueEnqueueTechOrder(singTech,
num_techs_accelerated)
num_techs_accelerated += 1
msg = "have a black hole star outpost/colony, so attempted to fast-track %s, got result %d" % (
singTech, res)
print msg
if report_adjustments:
chat_human(msg)
research_queue_list = get_research_queue_techs()
#
# if got deathray from Ruins, remove most prereqs from queue
if True: # just to help with cold-folding / organization
if tech_is_complete("SHP_WEAPON_4_1"):
this_tech = fo.getTech("SHP_WEAPON_4_1")
if this_tech:
missing_prereqs = [
preReq
for preReq in this_tech.recursivePrerequisites(empire_id)
if preReq in research_queue_list
]
if len(missing_prereqs
) > 2: # leave plasma 4 and 3 if up to them already
for preReq in missing_prereqs: # sorted(missing_prereqs, reverse=True)[2:]
if preReq in research_queue_list:
fo.issueDequeueTechOrder(preReq)
research_queue_list = get_research_queue_techs()
if "SHP_WEAPON_4_2" in research_queue_list: # (should be)
idx = research_queue_list.index("SHP_WEAPON_4_2")
fo.issueEnqueueTechOrder("SHP_WEAPON_4_2",
max(0, idx - 18))
def assess_protection_focus(pid):
"""Return True if planet should use Protection Focus"""
this_planet = planetMap[pid]
sys_status = foAI.foAIstate.systemStatus.get(this_planet.systemID, {})
threat_from_supply = (
0.25 * foAI.foAIstate.empire_standard_enemy_rating *
min(2, len(sys_status.get('enemies_nearly_supplied', []))))
print "Planet %s has regional+supply threat of %.1f" % (
'P_%d<%s>' % (pid, this_planet.name), threat_from_supply)
regional_threat = sys_status.get('regional_threat', 0) + threat_from_supply
if not regional_threat: # no need for protection
if currentFocus[pid] == PFocus:
print "Advising dropping Protection Focus at %s due to no regional threat" % this_planet
return False
cur_prod_val = weighted_sum_output(
[currentOutput[pid][IFocus], currentOutput[pid][RFocus]])
target_prod_val = max(
map(weighted_sum_output,
[newTargets[pid][IFocus], newTargets[pid][RFocus]]))
prot_prod_val = weighted_sum_output(newTargets[pid][PFocus])
local_production_diff = 0.8 * cur_prod_val + 0.2 * target_prod_val - prot_prod_val
fleet_threat = sys_status.get('fleetThreat', 0)
# TODO: relax the below rejection once the overall determination of PFocus is better tuned
if not fleet_threat and local_production_diff > 8:
if currentFocus[pid] == PFocus:
print "Advising dropping Protection Focus at %s due to excessive productivity loss" % this_planet
return False
local_p_defenses = sys_status.get('mydefenses', {}).get('overall', 0)
# TODO have adjusted_p_defenses take other in-system planets into account
adjusted_p_defenses = local_p_defenses * (
1.0 if currentFocus[pid] != PFocus else 0.5)
local_fleet_rating = sys_status.get('myFleetRating', 0)
combined_local_defenses = sys_status.get('all_local_defenses', 0)
my_neighbor_rating = sys_status.get('my_neighbor_rating', 0)
neighbor_threat = sys_status.get('neighborThreat', 0)
safety_factor = 1.2 if currentFocus[pid] == PFocus else 0.5
cur_shield = this_planet.currentMeterValue(fo.meterType.shield)
max_shield = this_planet.currentMeterValue(fo.meterType.maxShield)
cur_troops = this_planet.currentMeterValue(fo.meterType.troops)
max_troops = this_planet.currentMeterValue(fo.meterType.maxTroops)
cur_defense = this_planet.currentMeterValue(fo.meterType.defense)
max_defense = this_planet.currentMeterValue(fo.meterType.maxDefense)
def_meter_pairs = [(cur_troops, max_troops), (cur_shield, max_shield),
(cur_defense, max_defense)]
use_protection = True
if (fleet_threat and # i.e., an enemy is sitting on us
(
currentFocus[pid] != PFocus
or # too late to start protection TODO: but maybe regen worth it
# protection forcus only useful here if it maintains an elevated level
all([
AIDependencies.PROT_FOCUS_MULTIPLIER * a < b
for a, b in def_meter_pairs
]))):
use_protection = False
elif ((cur_shield < max_shield - 2
and not tech_is_complete(AIDependencies.PLANET_BARRIER_I_TECH))
and (cur_defense < max_defense - 2
and not tech_is_complete(AIDependencies.DEFENSE_REGEN_1_TECH))
and (cur_troops < max_troops - 2)):
use_protection = False
elif max(max_shield, max_troops, max_defense
) < 3: # joke defenses, don't bother with protection focus
use_protection = False
elif regional_threat and local_production_diff <= 2.0:
pass # i.e., use_protection = True
elif safety_factor * regional_threat <= local_fleet_rating:
use_protection = False
elif (safety_factor * regional_threat <= combined_local_defenses and
(currentFocus[pid] != PFocus or
(0.5 * safety_factor * regional_threat <= local_fleet_rating
and fleet_threat == 0 and neighbor_threat < combined_local_defenses
and local_production_diff > 5))):
use_protection = False
elif (regional_threat <= FleetUtilsAI.combine_ratings(
local_fleet_rating, adjusted_p_defenses) and
safety_factor * regional_threat <= FleetUtilsAI.combine_ratings_list(
[my_neighbor_rating, local_fleet_rating, adjusted_p_defenses])
and local_production_diff > 5):
use_protection = False
if use_protection or currentFocus[pid] == PFocus:
advisory_str = "Advising %sProtection Focus" % ["dropping ", ""
][use_protection]
advisory_str += (
" for planet %s, with local_prod_diff of %.1f, comb. local defenses %.1f"
+
", local fleet rating %.1f and regional threat %.1f, threat sources: %s"
)
print advisory_str % (this_planet, local_production_diff,
combined_local_defenses, local_fleet_rating,
regional_threat,
sys_status['regional_fleet_threats'])
return use_protection
def evaluate_invasion_planet(planet_id, secure_fleet_missions, verbose=True):
"""Return the invasion value (score, troops) of a planet."""
detail = []
building_values = {"BLD_IMPERIAL_PALACE": 1000,
"BLD_CULTURE_ARCHIVES": 1000,
"BLD_AUTO_HISTORY_ANALYSER": 100,
"BLD_SHIPYARD_BASE": 100,
"BLD_SHIPYARD_ORG_ORB_INC": 200,
"BLD_SHIPYARD_ORG_XENO_FAC": 200,
"BLD_SHIPYARD_ORG_CELL_GRO_CHAMB": 200,
"BLD_SHIPYARD_CON_NANOROBO": 300,
"BLD_SHIPYARD_CON_GEOINT": 400,
"BLD_SHIPYARD_CON_ADV_ENGINE": 1000,
"BLD_SHIPYARD_AST": 300,
"BLD_SHIPYARD_AST_REF": 1000,
"BLD_SHIPYARD_ENRG_SOLAR": 1500,
"BLD_INDUSTRY_CENTER": 500,
"BLD_GAS_GIANT_GEN": 200,
"BLD_SOL_ORB_GEN": 800,
"BLD_BLACK_HOLE_POW_GEN": 2000,
"BLD_ENCLAVE_VOID": 500,
"BLD_NEUTRONIUM_EXTRACTOR": 2000,
"BLD_NEUTRONIUM_SYNTH": 2000,
"BLD_NEUTRONIUM_FORGE": 1000,
"BLD_CONC_CAMP": 100,
"BLD_BIOTERROR_PROJECTOR": 1000,
"BLD_SHIPYARD_ENRG_COMP": 3000,
}
# TODO: add more factors, as used for colonization
universe = fo.getUniverse()
empire_id = fo.empireID()
max_jumps = 8
planet = universe.getPlanet(planet_id)
if planet is None: # TODO: exclude planets with stealth higher than empireDetection
print "invasion AI couldn't access any info for planet id %d" % planet_id
return [0, 0]
sys_partial_vis_turn = universe.getVisibilityTurnsMap(planet.systemID, empire_id).get(fo.visibility.partial, -9999)
planet_partial_vis_turn = universe.getVisibilityTurnsMap(planet_id, empire_id).get(fo.visibility.partial, -9999)
if planet_partial_vis_turn < sys_partial_vis_turn:
print "invasion AI couldn't get current info on planet id %d (was stealthed at last sighting)" % planet_id
# TODO: track detection strength, order new scouting when it goes up
return [0, 0] # last time we had partial vis of the system, the planet was stealthed to us
species_name = planet.speciesName
species = fo.getSpecies(species_name)
if not species or AIDependencies.TAG_DESTROYED_ON_CONQUEST in species.tags:
# this call iterates over this Empire's available species with which it could colonize after an invasion
planet_eval = ColonisationAI.assign_colonisation_values([planet_id], MissionType.INVASION, None, detail)
pop_val = max(0.75 * planet_eval.get(planet_id, [0])[0],
ColonisationAI.evaluate_planet(planet_id, MissionType.OUTPOST, None, detail))
else:
pop_val = ColonisationAI.evaluate_planet(planet_id, MissionType.INVASION, species_name, detail)
bld_tally = 0
for bldType in [universe.getBuilding(bldg).buildingTypeName for bldg in planet.buildingIDs]:
bval = building_values.get(bldType, 50)
bld_tally += bval
detail.append("%s: %d" % (bldType, bval))
tech_tally = 0
for unlocked_tech in AIDependencies.SPECIES_TECH_UNLOCKS.get(species_name, []):
if not tech_is_complete(unlocked_tech):
rp_cost = fo.getTech(unlocked_tech).researchCost(empire_id)
tech_tally += rp_cost * 4
detail.append("%s: %d" % (unlocked_tech, rp_cost * 4))
p_sys_id = planet.systemID
capitol_id = PlanetUtilsAI.get_capital()
least_jumps_path = []
clear_path = True
if capitol_id:
homeworld = universe.getPlanet(capitol_id)
if homeworld:
home_system_id = homeworld.systemID
eval_system_id = planet.systemID
if (home_system_id != INVALID_ID) and (eval_system_id != INVALID_ID):
least_jumps_path = list(universe.leastJumpsPath(home_system_id, eval_system_id, empire_id))
max_jumps = len(least_jumps_path)
system_status = foAI.foAIstate.systemStatus.get(p_sys_id, {})
system_fleet_treat = system_status.get('fleetThreat', 1000)
system_monster_threat = system_status.get('monsterThreat', 0)
sys_total_threat = system_fleet_treat + system_monster_threat + system_status.get('planetThreat', 0)
max_path_threat = system_fleet_treat
mil_ship_rating = MilitaryAI.cur_best_mil_ship_rating()
for path_sys_id in least_jumps_path:
path_leg_status = foAI.foAIstate.systemStatus.get(path_sys_id, {})
path_leg_threat = path_leg_status.get('fleetThreat', 1000) + path_leg_status.get('monsterThreat', 0)
if path_leg_threat > 0.5 * mil_ship_rating:
clear_path = False
if path_leg_threat > max_path_threat:
max_path_threat = path_leg_threat
pop = planet.currentMeterValue(fo.meterType.population)
target_pop = planet.currentMeterValue(fo.meterType.targetPopulation)
troops = planet.currentMeterValue(fo.meterType.troops)
max_troops = planet.currentMeterValue(fo.meterType.maxTroops)
# TODO: refactor troop determination into function for use in mid-mission updates and also consider defender techs
max_troops += AIDependencies.TROOPS_PER_POP * (target_pop - pop)
this_system = universe.getSystem(p_sys_id)
secure_targets = [p_sys_id] + list(this_system.planetIDs)
system_secured = False
for mission in secure_fleet_missions:
if system_secured:
break
secure_fleet_id = mission.fleet.id
s_fleet = universe.getFleet(secure_fleet_id)
if not s_fleet or s_fleet.systemID != p_sys_id:
continue
if mission.type == MissionType.SECURE:
target_obj = mission.target.get_object()
if target_obj is not None and target_obj.id in secure_targets:
system_secured = True
break
system_secured = system_secured and system_status.get('myFleetRating', 0)
if verbose:
print ("Invasion eval of %s\n"
" - maxShields: %.1f\n"
" - sysFleetThreat: %.1f\n"
" - sysMonsterThreat: %.1f") % (
planet, planet.currentMeterValue(fo.meterType.maxShield), system_fleet_treat,
system_monster_threat)
supply_val = 0
enemy_val = 0
if planet.owner != -1: # value in taking this away from an enemy
enemy_val = 20 * (planet.currentMeterValue(fo.meterType.targetIndustry) + 2*planet.currentMeterValue(fo.meterType.targetResearch))
if p_sys_id in ColonisationAI.annexable_system_ids: # TODO: extend to rings
supply_val = 100
elif p_sys_id in ColonisationAI.annexable_ring1:
supply_val = 200
elif p_sys_id in ColonisationAI.annexable_ring2:
supply_val = 300
elif p_sys_id in ColonisationAI.annexable_ring3:
supply_val = 400
if max_path_threat > 0.5 * mil_ship_rating:
if max_path_threat < 3 * mil_ship_rating:
supply_val *= 0.5
else:
supply_val *= 0.2
threat_factor = min(1, 0.2*MilitaryAI.get_tot_mil_rating()/(sys_total_threat+0.001))**2 # devalue invasions that would require too much military force
design_id, _, locs = ProductionAI.get_best_ship_info(PriorityType.PRODUCTION_INVASION)
if not locs or not universe.getPlanet(locs[0]):
# We are in trouble anyway, so just calculate whatever approximation...
build_time = 4
planned_troops = troops if system_secured else min(troops + max_jumps + build_time, max_troops)
planned_troops += .01 # we must attack with more troops than there are defenders
troop_cost = math.ceil((planned_troops+_TROOPS_SAFETY_MARGIN) / 6.0) * 20 * FleetUtilsAI.get_fleet_upkeep()
else:
loc = locs[0]
species_here = universe.getPlanet(loc).speciesName
design = fo.getShipDesign(design_id)
cost_per_ship = design.productionCost(empire_id, loc)
build_time = design.productionTime(empire_id, loc)
troops_per_ship = CombatRatingsAI.weight_attack_troops(design.troopCapacity,
CombatRatingsAI.get_species_troops_grade(species_here))
planned_troops = troops if system_secured else min(troops + max_jumps + build_time, max_troops)
planned_troops += .01 # we must attack with more troops than there are defenders
ships_needed = math.ceil((planned_troops+_TROOPS_SAFETY_MARGIN) / float(troops_per_ship))
troop_cost = ships_needed * cost_per_ship # fleet upkeep is already included in query from server
# apply some bias to expensive operations
normalized_cost = float(troop_cost) / max(fo.getEmpire().productionPoints, 1)
normalized_cost = max(1, normalized_cost)
cost_score = (normalized_cost**2 / 50.0) * troop_cost
base_score = pop_val + supply_val + bld_tally + tech_tally + enemy_val - cost_score
planet_score = retaliation_risk_factor(planet.owner) * threat_factor * max(0, base_score)
if clear_path:
planet_score *= 1.5
if verbose:
print (' - planet score: %.2f\n'
' - troop score: %.2f\n'
' - projected troop cost: %.1f\n'
' - threat factor: %s\n'
' - planet detail: %s\n'
' - popval: %.1f\n'
' - supplyval: %.1f\n'
' - bldval: %s\n'
' - enemyval: %s') % (planet_score, planned_troops, troop_cost,
threat_factor, detail, pop_val, supply_val, bld_tally, enemy_val)
return [planet_score, planned_troops]
def evaluate_invasion_planet(planet_id, empire, secure_fleet_missions, verbose=True):
"""Return the invasion value (score, troops) of a planet."""
detail = []
building_values = {"BLD_IMPERIAL_PALACE": 1000,
"BLD_CULTURE_ARCHIVES": 1000,
"BLD_SHIPYARD_BASE": 100,
"BLD_SHIPYARD_ORG_ORB_INC": 200,
"BLD_SHIPYARD_ORG_XENO_FAC": 200,
"BLD_SHIPYARD_ORG_CELL_GRO_CHAMB": 200,
"BLD_SHIPYARD_CON_NANOROBO": 300,
"BLD_SHIPYARD_CON_GEOINT": 400,
"BLD_SHIPYARD_CON_ADV_ENGINE": 1000,
"BLD_SHIPYARD_AST": 300,
"BLD_SHIPYARD_AST_REF": 1000,
"BLD_SHIPYARD_ENRG_SOLAR": 1500,
"BLD_INDUSTRY_CENTER": 500,
"BLD_GAS_GIANT_GEN": 200,
"BLD_SOL_ORB_GEN": 800,
"BLD_BLACK_HOLE_POW_GEN": 2000,
"BLD_ENCLAVE_VOID": 500,
"BLD_NEUTRONIUM_EXTRACTOR": 2000,
"BLD_NEUTRONIUM_SYNTH": 2000,
"BLD_NEUTRONIUM_FORGE": 1000,
"BLD_CONC_CAMP": 100,
"BLD_BIOTERROR_PROJECTOR": 1000,
"BLD_SHIPYARD_ENRG_COMP": 3000,
}
# TODO: add more factors, as used for colonization
universe = fo.getUniverse()
empire_id = empire.empireID
max_jumps = 8
planet = universe.getPlanet(planet_id)
if planet is None: # TODO: exclude planets with stealth higher than empireDetection
print "invasion AI couldn't access any info for planet id %d" % planet_id
return [0, 0]
sys_partial_vis_turn = universe.getVisibilityTurnsMap(planet.systemID, empire_id).get(fo.visibility.partial, -9999)
planet_partial_vis_turn = universe.getVisibilityTurnsMap(planet_id, empire_id).get(fo.visibility.partial, -9999)
if planet_partial_vis_turn < sys_partial_vis_turn:
print "invasion AI couldn't get current info on planet id %d (was stealthed at last sighting)" % planet_id
# TODO: track detection strength, order new scouting when it goes up
return [0, 0] # last time we had partial vis of the system, the planet was stealthed to us
species_name = planet.speciesName
species = fo.getSpecies(species_name)
if not species: # this call iterates over this Empire's available species with which it could colonize after an invasion
planet_eval = ColonisationAI.assign_colonisation_values([planet_id], EnumsAI.AIFleetMissionType.FLEET_MISSION_INVASION, None, empire, detail)
pop_val = max(0.75*planet_eval.get(planet_id, [0])[0], ColonisationAI.evaluate_planet(planet_id, EnumsAI.AIFleetMissionType.FLEET_MISSION_OUTPOST, None, empire, detail))
else:
pop_val = ColonisationAI.evaluate_planet(planet_id, EnumsAI.AIFleetMissionType.FLEET_MISSION_INVASION, species_name, empire, detail)
bld_tally = 0
for bldType in [universe.getObject(bldg).buildingTypeName for bldg in planet.buildingIDs]:
bval = building_values.get(bldType, 50)
bld_tally += bval
detail.append("%s: %d" % (bldType, bval))
p_sys_id = planet.systemID
capitol_id = PlanetUtilsAI.get_capital()
least_jumps_path = []
clear_path = True
if capitol_id:
homeworld = universe.getPlanet(capitol_id)
if homeworld:
home_system_id = homeworld.systemID
eval_system_id = planet.systemID
if (home_system_id != -1) and (eval_system_id != -1):
least_jumps_path = list(universe.leastJumpsPath(home_system_id, eval_system_id, empire_id))
max_jumps = len(least_jumps_path)
system_status = foAI.foAIstate.systemStatus.get(p_sys_id, {})
system_fleet_treat = system_status.get('fleetThreat', 1000)
system_monster_threat = system_status.get('monsterThreat', 0)
sys_total_threat = system_fleet_treat + system_monster_threat + system_status.get('planetThreat', 0)
max_path_threat = system_fleet_treat
mil_ship_rating = MilitaryAI.cur_best_mil_ship_rating()
for path_sys_id in least_jumps_path:
path_leg_status = foAI.foAIstate.systemStatus.get(path_sys_id, {})
path_leg_threat = path_leg_status.get('fleetThreat', 1000) + path_leg_status.get('monsterThreat', 0)
if path_leg_threat > 0.5 * mil_ship_rating:
clear_path = False
if path_leg_threat > max_path_threat:
max_path_threat = path_leg_threat
troops = planet.currentMeterValue(fo.meterType.troops)
max_troops = planet.currentMeterValue(fo.meterType.maxTroops)
this_system = universe.getSystem(p_sys_id)
secure_targets = [p_sys_id] + list(this_system.planetIDs)
system_secured = False
for mission in secure_fleet_missions:
if system_secured:
break
secure_fleet_id = mission.target_id
s_fleet = universe.getFleet(secure_fleet_id)
if not s_fleet or s_fleet.systemID != p_sys_id:
continue
for ai_target in mission.get_targets(EnumsAI.AIFleetMissionType.FLEET_MISSION_SECURE):
target_obj = ai_target.target_obj
if (target_obj is not None) and target_obj.id in secure_targets:
system_secured = True
break
if verbose:
print "invasion eval of %s %d --- maxShields %.1f -- sysFleetThreat %.1f -- sysMonsterThreat %.1f" % (
planet.name, planet_id, planet.currentMeterValue(fo.meterType.maxShield), system_fleet_treat,
system_monster_threat)
supply_val = 0
enemy_val = 0
if planet.owner != -1: # value in taking this away from an enemy
enemy_val = 20 * (planet.currentMeterValue(fo.meterType.targetIndustry) + 2*planet.currentMeterValue(fo.meterType.targetResearch))
if p_sys_id in ColonisationAI.annexable_system_ids: # TODO: extend to rings
supply_val = 100
elif p_sys_id in ColonisationAI.annexable_ring1:
supply_val = 200
elif p_sys_id in ColonisationAI.annexable_ring2:
supply_val = 300
elif p_sys_id in ColonisationAI.annexable_ring3:
supply_val = 400
if max_path_threat > 0.5 * mil_ship_rating:
if max_path_threat < 3 * mil_ship_rating:
supply_val *= 0.5
else:
supply_val *= 0.2
threat_factor = min(1, 0.2*MilitaryAI.totMilRating/(sys_total_threat+0.001))**2 # devalue invasions that would require too much military force
build_time = 4
planned_troops = troops if system_secured else min(troops+max_jumps+build_time, max_troops)
if not tech_is_complete("SHP_ORG_HULL"):
troop_cost = math.ceil(planned_troops/6.0) * (40*(1+foAI.foAIstate.shipCount * AIDependencies.SHIP_UPKEEP))
else:
troop_cost = math.ceil(planned_troops/6.0) * (20*(1+foAI.foAIstate.shipCount * AIDependencies.SHIP_UPKEEP))
planet_score = retaliation_risk_factor(planet.owner) * threat_factor * max(0, pop_val+supply_val+bld_tally+enemy_val-0.8*troop_cost)
if clear_path:
planet_score *= 1.5
invasion_score = [planet_score, planned_troops]
print invasion_score, "projected Troop Cost:", troop_cost, ", threatFactor: ", threat_factor, ", planet detail ", detail, "popval, supplyval, bldval, enemyval", pop_val, supply_val, bld_tally, enemy_val
return invasion_score
def assess_protection_focus(pinfo, priority):
"""Return True if planet should use Protection Focus."""
this_planet = pinfo.planet
# this is unrelated to military threats
stability_bonus = (pinfo.current_focus == PROTECTION
) * fo.getNamedValue("PROTECION_FOCUS_STABILITY_BONUS")
# industry and research produce nothing below 0
threshold = -1 * (pinfo.current_focus not in (INDUSTRY, RESEARCH))
# Negative IP lowers stability. Trying to counter this by setting planets to Protection just makes it worse!
ip = fo.getEmpire().resourceAvailable(fo.resourceType.influence)
if ip >= 0 and this_planet.currentMeterValue(
fo.meterType.targetHappiness) < threshold + stability_bonus:
debug("Advising Protection Focus at %s to avoid rebellion",
this_planet)
return True
aistate = get_aistate()
sys_status = aistate.systemStatus.get(this_planet.systemID, {})
threat_from_supply = (
0.25 * aistate.empire_standard_enemy_rating *
min(2, len(sys_status.get("enemies_nearly_supplied", []))))
debug("%s has regional+supply threat of %.1f", this_planet,
threat_from_supply)
regional_threat = sys_status.get("regional_threat", 0) + threat_from_supply
if not regional_threat: # no need for protection
if pinfo.current_focus == PROTECTION:
debug(
"Advising dropping Protection Focus at %s due to no regional threat",
this_planet)
return False
cur_prod_val = weighted_sum_output((pinfo.current_output, priority))
target_prod_val = max(
map(
weighted_sum_output,
[
(pinfo.possible_output[INDUSTRY], priority),
(pinfo.possible_output[RESEARCH], priority),
(pinfo.possible_output[INFLUENCE], priority),
],
))
prot_prod_val = weighted_sum_output(
(pinfo.possible_output[PROTECTION], priority))
local_production_diff = 0.5 * cur_prod_val + 0.5 * target_prod_val - prot_prod_val
fleet_threat = sys_status.get("fleetThreat", 0)
# TODO: relax the below rejection once the overall determination of PFocus is better tuned
# priorities have a magnitude of 50
if not fleet_threat and local_production_diff > 200:
if pinfo.current_focus == PROTECTION:
debug(
"Advising dropping Protection Focus at %s due to excessive productivity loss",
this_planet)
return False
local_p_defenses = sys_status.get("mydefenses", {}).get("overall", 0)
# TODO have adjusted_p_defenses take other in-system planets into account
adjusted_p_defenses = local_p_defenses * (
1.0 if pinfo.current_focus != PROTECTION else 0.5)
local_fleet_rating = sys_status.get("myFleetRating", 0)
combined_local_defenses = sys_status.get("all_local_defenses", 0)
my_neighbor_rating = sys_status.get("my_neighbor_rating", 0)
neighbor_threat = sys_status.get("neighborThreat", 0)
safety_factor = 1.2 if pinfo.current_focus == PROTECTION else 0.5
cur_shield = this_planet.initialMeterValue(fo.meterType.shield)
max_shield = this_planet.initialMeterValue(fo.meterType.maxShield)
cur_troops = this_planet.initialMeterValue(fo.meterType.troops)
max_troops = this_planet.initialMeterValue(fo.meterType.maxTroops)
cur_defense = this_planet.initialMeterValue(fo.meterType.defense)
max_defense = this_planet.initialMeterValue(fo.meterType.maxDefense)
def_meter_pairs = [(cur_troops, max_troops), (cur_shield, max_shield),
(cur_defense, max_defense)]
use_protection = True
reason = ""
if fleet_threat and ( # i.e., an enemy is sitting on us
pinfo.current_focus != PROTECTION
or # too late to start protection TODO: but maybe regen worth it
# protection focus only useful here if it maintains an elevated level
all([
AIDependencies.PROT_FOCUS_MULTIPLIER * a <= b
for a, b in def_meter_pairs
])):
use_protection = False
reason = "A"
elif ((pinfo.current_focus != PROTECTION and cur_shield < max_shield - 2
and not tech_is_complete(AIDependencies.PLANET_BARRIER_I_TECH))
and (cur_defense < max_defense - 2
and not tech_is_complete(AIDependencies.DEFENSE_REGEN_1_TECH))
and (cur_troops < max_troops - 2)):
use_protection = False
reason = "B1"
elif (
(pinfo.current_focus == PROTECTION
and cur_shield * AIDependencies.PROT_FOCUS_MULTIPLIER < max_shield - 2
and not tech_is_complete(AIDependencies.PLANET_BARRIER_I_TECH)) and
(cur_defense * AIDependencies.PROT_FOCUS_MULTIPLIER < max_defense - 2
and not tech_is_complete(AIDependencies.DEFENSE_REGEN_1_TECH)) and
(cur_troops * AIDependencies.PROT_FOCUS_MULTIPLIER < max_troops - 2)):
use_protection = False
reason = "B2"
elif max(max_shield, max_troops, max_defense) < 3:
# joke defenses, don't bother with protection focus
use_protection = False
reason = "C"
elif regional_threat and local_production_diff <= 2.0:
use_protection = True
reason = "D"
elif safety_factor * regional_threat <= local_fleet_rating:
use_protection = False
reason = "E"
elif safety_factor * regional_threat <= combined_local_defenses and (
pinfo.current_focus != PROTECTION or
(0.5 * safety_factor * regional_threat <= local_fleet_rating
and fleet_threat == 0 and neighbor_threat < combined_local_defenses
and local_production_diff > 5)):
use_protection = False
reason = "F"
elif (regional_threat <= combine_ratings(local_fleet_rating,
adjusted_p_defenses)
and safety_factor * regional_threat <= combine_ratings(
my_neighbor_rating, local_fleet_rating, adjusted_p_defenses)
and local_production_diff > 5):
use_protection = False
reason = "G"
if use_protection or pinfo.current_focus == PROTECTION:
debug(
"Advising %sProtection Focus (reason %s) for planet %s, with local_prod_diff of %.1f, comb. local"
" defenses %.1f, local fleet rating %.1f and regional threat %.1f, threat sources: %s",
["dropping ", ""][use_protection],
reason,
this_planet,
local_production_diff,
combined_local_defenses,
local_fleet_rating,
regional_threat,
sys_status["regional_fleet_threats"],
)
return use_protection
def get_completed_techs():
"""get completed and available for use techs"""
return [tech for tech in fo.techs() if tech_is_complete(tech)]
def set_planet_industry_and_research_foci(focus_manager, priority_ratio):
"""Adjust planet's industry versus research focus while targeting the given ratio and
avoiding penalties from changing focus."""
print "\n-----------------------------------------"
print "Making Planet Focus Change Determinations\n"
ratios = []
# for each planet, calculate RP:PP value ratio at which industry focus and
# research focus would have the same total value, & sort by that include a
# bias to slightly discourage changing foci
target_pp = 0.001
target_rp = 0.001
resource_timer.start("Loop") # loop
has_force = tech_is_complete("CON_FRC_ENRG_STRC")
# cumulative all industry focus
cumulative_pp, cumulative_rp = 0, 0
# Handle presets which only have possible output for preset focus
for pid, pinfo in focus_manager.baked_planet_info.items():
future_pp, future_rp = pinfo.possible_output[pinfo.future_focus]
target_pp += future_pp
target_rp += future_rp
cumulative_pp += future_pp
cumulative_rp += future_rp
# tally max Industry
for pid, pinfo in focus_manager.raw_planet_info.items():
i_pp, i_rp = pinfo.possible_output[INDUSTRY]
cumulative_pp += i_pp
cumulative_rp += i_rp
if RESEARCH not in pinfo.planet.availableFoci:
if focus_manager.bake_future_focus(pid, INDUSTRY, False):
target_pp += i_pp
target_rp += i_rp
# smallest possible ratio of research to industry with an all industry focus
maxi_ratio = cumulative_rp / max(0.01, cumulative_pp)
aistate = get_aistate()
for adj_round in [1, 2, 3, 4]:
for pid, pinfo in focus_manager.raw_planet_info.items():
ii, tr = pinfo.possible_output[INDUSTRY]
ri, rr = pinfo.possible_output[RESEARCH]
ci, cr = pinfo.current_output
research_penalty = AIDependencies.FOCUS_CHANGE_PENALTY if (pinfo.current_focus != RESEARCH) else 0
# calculate factor F at which ii + F * tr == ri + F * rr =====> F = ( ii-ri ) / (rr-tr)
factor = (ii - ri) / max(0.01, rr - tr)
planet = pinfo.planet
if adj_round == 1: # take research at planets that can not use industry focus
if INDUSTRY not in pinfo.planet.availableFoci:
target_pp += ri
target_rp += rr
focus_manager.bake_future_focus(pid, RESEARCH, False)
continue
if adj_round == 2: # take research at planets with very cheap research
if (maxi_ratio < priority_ratio) and (target_rp < priority_ratio * cumulative_pp) and (factor <= 1.0):
target_pp += ri
target_rp += rr
focus_manager.bake_future_focus(pid, RESEARCH, False)
continue
if adj_round == 3: # take research at planets where can do reasonable balance
# if this planet in range where temporary Research focus ("research dithering") can get some additional
# RP at a good PP cost, and still need some RP, then consider doing it.
# Won't really work if AI has researched Force Energy Structures (meters fall too fast)
# TODO: add similar decision points by which research-rich planets
# might possibly choose to dither for industry points
if any((has_force,
not aistate.character.may_dither_focus_to_gain_research(),
target_rp >= priority_ratio * cumulative_pp)):
continue
pop = planet.initialMeterValue(fo.meterType.population)
t_pop = planet.initialMeterValue(fo.meterType.targetPopulation)
# let pop stabilize before trying to dither; the calculations that determine whether dithering will be
# advantageous assume a stable population, so a larger gap means a less reliable decision
MAX_DITHER_POP_GAP = 5 # some smallish number
if pop < t_pop - MAX_DITHER_POP_GAP:
continue
# if gap between R-focus and I-focus target research levels is too narrow, don't research dither.
# A gap of 1 would provide a single point of RP, at a cost of 3 PP; a gap of 2 the cost is 2.7 PP/RP;
# a gap of 3 at 2.1 PP/RP; a gap of 4, 1.8 PP/RP; a gap of 5, 1.7 PP/RP. The bigger the gap, the
# better; a gap of 10 would provide RP at a cost of 1.3 PP/RP (or even less if the target PP gap
# were smaller).
MIN_DITHER_TARGET_RESEARCH_GAP = 3
if (rr - tr) < MIN_DITHER_TARGET_RESEARCH_GAP:
continue
# could double check that planet even has Industry Focus available, but no harm even if not
# So at this point we have determined the planet has research targets compatible with employing focus
# dither. The research focus phase will last until current research reaches the Research-Focus
# research target, determined by the 'research_capped' indicator, at which point the focus is
# changed to Industry (currently left to be handled by standard focus code later). The research_capped
# indicator, though, is a spot indicator whose value under normal dither operation would revert on the
# next turn, so we need another indicator to maintain the focus change until the Industry meter has
# recovered to its max target level; the indicator to keep the research phase turned off needs to have
# some type of hysteresis component or otherwise be sensitive to the direction of meter change; in the
# indicator below this is accomplished primarily by comparing a difference of changes on both the
# research and industry side, the 'research_penalty' adjustment in the industry_recovery_phase
# calculation prevents the indicator from stopping recovery mode one turn too early.
research_capped = (rr - cr) <= 0.5
industry_recovery_phase = (ii - ci) - (cr - tr) > AIDependencies.FOCUS_CHANGE_PENALTY - research_penalty
if not (research_capped or industry_recovery_phase):
target_pp += ci - 1 - research_penalty
target_rp += cr + 1
focus_manager.bake_future_focus(pid, RESEARCH, False)
continue
if adj_round == 4: # assume default IFocus
target_pp += ii # icurTargets initially calculated by Industry focus, which will be our default focus
target_rp += tr
ratios.append((factor, pid, pinfo))
ratios.sort()
printed_header = False
got_algo = tech_is_complete("LRN_ALGO_ELEGANCE")
for ratio, pid, pinfo in ratios:
if priority_ratio < (target_rp / (target_pp + 0.0001)): # we have enough RP
if ratio < 1.1 and aistate.character.may_research_heavily():
# but wait, RP is still super cheap relative to PP, maybe will take more RP
if priority_ratio < 1.5 * (target_rp / (target_pp + 0.0001)):
# yeah, really a glut of RP, stop taking RP
break
else: # RP not super cheap & we have enough, stop taking it
break
ii, tr = pinfo.possible_output[INDUSTRY]
ri, rr = pinfo.possible_output[RESEARCH]
if ((ratio > 2.0 and target_pp < 15 and got_algo) or
(ratio > 2.5 and target_pp < 25 and ii > 5 and got_algo) or
(ratio > 3.0 and target_pp < 40 and ii > 5 and got_algo) or
(ratio > 4.0 and target_pp < 100 and ii > 10) or
((target_rp + rr - tr) / max(0.001, target_pp - ii + ri) > 2 * priority_ratio)):
# we already have algo elegance and more RP would be too expensive, or overkill
if not printed_header:
printed_header = True
print "Rejecting further Research Focus choices as too expensive:"
print "%34s|%20s|%15s |%15s|%15s |%15s |%15s" % (" Planet ",
" current RP/PP ", " current target RP/PP ",
"current Focus ", " rejectedFocus ",
" rejected target RP/PP ", "rejected RP-PP EQF")
old_focus = pinfo.current_focus
c_pp, c_rp = pinfo.current_output
ot_pp, ot_rp = pinfo.possible_output[old_focus]
nt_pp, nt_rp = pinfo.possible_output[RESEARCH]
print ("pID (%3d) %22s | c: %5.1f / %5.1f | cT: %5.1f / %5.1f"
" | cF: %8s | nF: %8s | cT: %5.1f / %5.1f | %.2f" % (
pid, pinfo.planet.name, c_rp, c_pp, ot_rp, ot_pp,
_focus_names.get(old_focus, 'unknown'),
_focus_names[RESEARCH], nt_rp, nt_pp, ratio))
# RP is getting too expensive, but might be willing to still allocate from a planet with less PP to lose
continue
focus_manager.bake_future_focus(pid, RESEARCH, False)
target_rp += (rr - tr)
target_pp -= (ii - ri)
# Any planet still raw is set to industry
for pid in focus_manager.raw_planet_info.keys():
focus_manager.bake_future_focus(pid, INDUSTRY, False)
def _calculate_research_priority():
"""Calculates the AI empire's demand for research."""
universe = fo.getUniverse()
empire = fo.getEmpire()
empire_id = empire.empireID
current_turn = fo.currentTurn()
enemies_sighted = foAI.foAIstate.misc.get('enemies_sighted', {})
recent_enemies = [x for x in enemies_sighted if x > current_turn - 8]
industry_priority = foAI.foAIstate.get_priority(PriorityType.RESOURCE_PRODUCTION)
got_algo = tech_is_complete(AIDependencies.LRN_ALGO_ELEGANCE)
got_quant = tech_is_complete(AIDependencies.LRN_QUANT_NET)
research_queue_list = ResearchAI.get_research_queue_techs()
orb_gen_tech = AIDependencies.PRO_ORBITAL_GEN
got_orb_gen = tech_is_complete(orb_gen_tech)
mgrav_prod_tech = AIDependencies.PRO_MICROGRAV_MAN
got_mgrav_prod = tech_is_complete(mgrav_prod_tech)
# got_solar_gen = tech_is_complete(AIDependencies.PRO_SOL_ORB_GEN)
milestone_techs = ["PRO_SENTIENT_AUTOMATION", "LRN_DISTRIB_THOUGHT", "LRN_QUANT_NET", "SHP_WEAPON_2_4", "SHP_WEAPON_3_2", "SHP_WEAPON_4_2"]
milestones_done = [mstone for mstone in milestone_techs if tech_is_complete(mstone)]
print "Research Milestones accomplished at turn %d: %s" % (current_turn, milestones_done)
total_pp = empire.productionPoints
total_rp = empire.resourceProduction(fo.resourceType.research)
industry_surge = (foAI.foAIstate.character.may_surge_industry(total_pp, total_rp) and
(((orb_gen_tech in research_queue_list[:2] or got_orb_gen) and state.have_gas_giant) or
((mgrav_prod_tech in research_queue_list[:2] or got_mgrav_prod) and state.have_asteroids)) and
(not (len(AIstate.popCtrIDs) >= 12)))
# get current industry production & Target
owned_planet_ids = PlanetUtilsAI.get_owned_planets_by_empire(universe.planetIDs)
planets = map(universe.getPlanet, owned_planet_ids)
target_rp = sum(map(lambda x: x.currentMeterValue(fo.meterType.targetResearch), planets))
galaxy_is_sparse = ColonisationAI.galaxy_is_sparse()
enemies_sighted = foAI.foAIstate.misc.get('enemies_sighted', {})
style_index = foAI.foAIstate.character.preferred_research_cutoff([0, 1])
if foAI.foAIstate.character.may_maximize_research():
style_index += 1
cutoff_sets = [[25, 45, 70, 110], [30, 45, 70, 150], [25, 40, 80, 160]]
cutoffs = cutoff_sets[style_index]
settings = [[1.3, .7, .5, .4, .35], [1.4, 0.8, 0.6, 0.5, 0.35], [1.4, 0.8, 0.6, 0.5, 0.4]][style_index]
if (current_turn < cutoffs[0]) or (not got_algo) or ((style_index == 0) and not got_orb_gen and (current_turn < cutoffs[1])):
research_priority = settings[0] * industry_priority # high research at beginning of game to get easy gro tech and to get research booster Algotrithmic Elegance
elif (not got_orb_gen) or (current_turn < cutoffs[1]):
research_priority = settings[1] * industry_priority # med-high research
elif current_turn < cutoffs[2]:
research_priority = settings[2] * industry_priority # med-high industry
elif current_turn < cutoffs[3]:
research_priority = settings[3] * industry_priority # med-high industry
else:
research_queue = list(empire.researchQueue)
research_priority = settings[4] * industry_priority # high industry , low research
if len(research_queue) == 0:
research_priority = 0 # done with research
elif len(research_queue) < 5 and research_queue[-1].allocation > 0:
research_priority = len(research_queue) * 0.01 * industry_priority # barely not done with research
elif len(research_queue) < 10 and research_queue[-1].allocation > 0:
research_priority = (4 + 2 * len(research_queue)) * 0.01 * industry_priority # almost done with research
elif len(research_queue) < 20 and research_queue[int(len(research_queue) / 2)].allocation > 0:
research_priority *= 0.7 # closing in on end of research
if industry_surge:
if galaxy_is_sparse and not any(enemies_sighted):
research_priority *= 0.5
else:
research_priority *= 0.8
if ((tech_is_complete("SHP_WEAPON_2_4") or
tech_is_complete("SHP_WEAPON_4_1")) and
tech_is_complete(AIDependencies.PROD_AUTO_NAME)):
# industry_factor = [ [0.25, 0.2], [0.3, 0.25], [0.3, 0.25] ][style_index ]
# researchPriority = min(researchPriority, industry_factor[got_solar_gen]*industryPriority)
research_priority *= 0.9
if got_quant:
research_priority = min(research_priority + 0.1 * industry_priority, research_priority * 1.3)
research_priority = int(research_priority)
print "Research Production (current/target) : ( %.1f / %.1f )" % (total_rp, target_rp)
print "Priority for Research: %d (new target ~ %d RP)" % (research_priority, total_pp * research_priority / industry_priority)
if len(enemies_sighted) < (2 + current_turn/20.0): # TODO: adjust for colonisation priority
research_priority *= 1.2
if (current_turn > 20) and (len(recent_enemies) > 3):
research_priority *= 0.8
return research_priority
def get_supply_tech_range():
return sum(_range for _tech, _range in AIDependencies.supply_range_techs.items() if tech_is_complete(_tech))
def _calculate_military_priority():
"""Calculates the demand for military ships by military targeted systems."""
global unmetThreat
universe = fo.getUniverse()
capital_id = PlanetUtilsAI.get_capital()
if capital_id is None or capital_id == INVALID_ID:
return 0 # no capitol (not even a capitol-in-the-making), means can't produce any ships
have_l1_weaps = (tech_is_complete("SHP_WEAPON_1_4") or
(tech_is_complete("SHP_WEAPON_1_3") and tech_is_complete("SHP_MIL_ROBO_CONT")) or
tech_is_complete("SHP_WEAPON_2_1") or
tech_is_complete("SHP_WEAPON_4_1"))
have_l2_weaps = (tech_is_complete("SHP_WEAPON_2_3") or
tech_is_complete("SHP_WEAPON_4_1"))
enemies_sighted = foAI.foAIstate.misc.get('enemies_sighted', {})
allotted_invasion_targets = 1 + int(fo.currentTurn()/25)
target_planet_ids = [pid for pid, pscore, trp in AIstate.invasionTargets[:allotted_invasion_targets]] + [pid for pid, pscore in foAI.foAIstate.colonisablePlanetIDs.items()[:allottedColonyTargets]] + [pid for pid, pscore in foAI.foAIstate.colonisableOutpostIDs.items()[:allottedColonyTargets]]
my_systems = set(state.get_empire_planets_by_system())
target_systems = set(PlanetUtilsAI.get_systems(target_planet_ids))
cur_ship_rating = ProductionAI.cur_best_military_design_rating()
current_turn = fo.currentTurn()
ships_needed = 0
defense_ships_needed = 0
ships_needed_allocation = []
for sys_id in my_systems.union(target_systems):
status = foAI.foAIstate.systemStatus.get(sys_id, {})
my_rating = status.get('myFleetRating', 0)
my_defenses = status.get('mydefenses', {}).get('overall', 0)
base_monster_threat = status.get('monsterThreat', 0)
# scale monster threat so that in early - mid game big monsters don't over-drive military production
monster_threat = base_monster_threat
if current_turn > 200:
pass
elif current_turn > 100:
if base_monster_threat >= 2000:
monster_threat = 2000 + (current_turn / 100.0 - 1) * (base_monster_threat - 2000)
elif current_turn > 30:
if base_monster_threat >= 2000:
monster_threat = 0
else:
if base_monster_threat > 200:
monster_threat = 0
if sys_id in my_systems:
threat_root = status.get('fleetThreat', 0)**0.5 + 0.8*status.get('max_neighbor_threat', 0)**0.5 + 0.2*status.get('neighborThreat', 0)**0.5 + monster_threat**0.5 + status.get('planetThreat', 0)**0.5
else:
threat_root = status.get('fleetThreat', 0)**0.5 + monster_threat**0.5 + status.get('planetThreat', 0)**0.5
ships_needed_here = math.ceil((max(0, (threat_root - (my_rating ** 0.5 + my_defenses ** 0.5))) ** 2) / cur_ship_rating)
ships_needed += ships_needed_here
ships_needed_allocation.append((universe.getSystem(sys_id), ships_needed_here))
if sys_id in my_systems:
defense_ships_needed += ships_needed_here
part1 = min(1 * fo.currentTurn(), 40)
part2 = max(0, int(75 * ships_needed))
military_priority = part1 + part2
if not have_l1_weaps:
military_priority /= 2.0
elif not (have_l2_weaps and enemies_sighted):
military_priority /= 1.5
fmt_string = "Calculating Military Priority: min(t,40) + max(0,75 * ships_needed) \n\t Priority: %d \t ships_needed: %d \t defense_ships_needed: %d \t curShipRating: %.0f \t l1_weaps: %s \t enemies_sighted: %s"
print fmt_string % (military_priority, ships_needed, defense_ships_needed, cur_ship_rating, have_l1_weaps, enemies_sighted)
print "Source of milship demand: ", ships_needed_allocation
military_priority *= foAI.foAIstate.character.military_priority_scaling()
return max(military_priority, 0)
def assess_protection_focus(pinfo):
"""Return True if planet should use Protection Focus."""
this_planet = pinfo.planet
aistate = get_aistate()
sys_status = aistate.systemStatus.get(this_planet.systemID, {})
threat_from_supply = (
0.25 * aistate.empire_standard_enemy_rating *
min(2, len(sys_status.get('enemies_nearly_supplied', []))))
debug("%s has regional+supply threat of %.1f", this_planet,
threat_from_supply)
regional_threat = sys_status.get('regional_threat', 0) + threat_from_supply
if not regional_threat: # no need for protection
if pinfo.current_focus == PROTECTION:
debug(
"Advising dropping Protection Focus at %s due to no regional threat",
this_planet)
return False
cur_prod_val = weighted_sum_output(pinfo.current_output)
target_prod_val = max(
map(weighted_sum_output,
[pinfo.possible_output[INDUSTRY], pinfo.possible_output[RESEARCH]
]))
prot_prod_val = weighted_sum_output(pinfo.possible_output[PROTECTION])
local_production_diff = 0.8 * cur_prod_val + 0.2 * target_prod_val - prot_prod_val
fleet_threat = sys_status.get('fleetThreat', 0)
# TODO: relax the below rejection once the overall determination of PFocus is better tuned
if not fleet_threat and local_production_diff > 8:
if pinfo.current_focus == PROTECTION:
debug(
"Advising dropping Protection Focus at %s due to excessive productivity loss",
this_planet)
return False
local_p_defenses = sys_status.get('mydefenses', {}).get('overall', 0)
# TODO have adjusted_p_defenses take other in-system planets into account
adjusted_p_defenses = local_p_defenses * (
1.0 if pinfo.current_focus != PROTECTION else 0.5)
local_fleet_rating = sys_status.get('myFleetRating', 0)
combined_local_defenses = sys_status.get('all_local_defenses', 0)
my_neighbor_rating = sys_status.get('my_neighbor_rating', 0)
neighbor_threat = sys_status.get('neighborThreat', 0)
safety_factor = 1.2 if pinfo.current_focus == PROTECTION else 0.5
cur_shield = this_planet.initialMeterValue(fo.meterType.shield)
max_shield = this_planet.initialMeterValue(fo.meterType.maxShield)
cur_troops = this_planet.initialMeterValue(fo.meterType.troops)
max_troops = this_planet.initialMeterValue(fo.meterType.maxTroops)
cur_defense = this_planet.initialMeterValue(fo.meterType.defense)
max_defense = this_planet.initialMeterValue(fo.meterType.maxDefense)
def_meter_pairs = [(cur_troops, max_troops), (cur_shield, max_shield),
(cur_defense, max_defense)]
use_protection = True
reason = ""
if (fleet_threat and # i.e., an enemy is sitting on us
(
pinfo.current_focus != PROTECTION
or # too late to start protection TODO: but maybe regen worth it
# protection focus only useful here if it maintains an elevated level
all([
AIDependencies.PROT_FOCUS_MULTIPLIER * a <= b
for a, b in def_meter_pairs
]))):
use_protection = False
reason = "A"
elif ((pinfo.current_focus != PROTECTION and cur_shield < max_shield - 2
and not tech_is_complete(AIDependencies.PLANET_BARRIER_I_TECH))
and (cur_defense < max_defense - 2
and not tech_is_complete(AIDependencies.DEFENSE_REGEN_1_TECH))
and (cur_troops < max_troops - 2)):
use_protection = False
reason = "B1"
elif (
(pinfo.current_focus == PROTECTION
and cur_shield * AIDependencies.PROT_FOCUS_MULTIPLIER < max_shield - 2
and not tech_is_complete(AIDependencies.PLANET_BARRIER_I_TECH)) and
(cur_defense * AIDependencies.PROT_FOCUS_MULTIPLIER < max_defense - 2
and not tech_is_complete(AIDependencies.DEFENSE_REGEN_1_TECH)) and
(cur_troops * AIDependencies.PROT_FOCUS_MULTIPLIER < max_troops - 2)):
use_protection = False
reason = "B2"
elif max(max_shield, max_troops, max_defense) < 3:
# joke defenses, don't bother with protection focus
use_protection = False
reason = "C"
elif regional_threat and local_production_diff <= 2.0:
use_protection = True
reason = "D"
elif safety_factor * regional_threat <= local_fleet_rating:
use_protection = False
reason = "E"
elif (safety_factor * regional_threat <= combined_local_defenses and
(pinfo.current_focus != PROTECTION or
(0.5 * safety_factor * regional_threat <= local_fleet_rating
and fleet_threat == 0 and neighbor_threat < combined_local_defenses
and local_production_diff > 5))):
use_protection = False
reason = "F"
elif (regional_threat <= CombatRatingsAI.combine_ratings(
local_fleet_rating, adjusted_p_defenses)
and safety_factor * regional_threat <=
CombatRatingsAI.combine_ratings_list(
[my_neighbor_rating, local_fleet_rating, adjusted_p_defenses])
and local_production_diff > 5):
use_protection = False
reason = "G"
if use_protection or pinfo.current_focus == PROTECTION:
debug(
"Advising %sProtection Focus (reason %s) for planet %s, with local_prod_diff of %.1f, comb. local"
" defenses %.1f, local fleet rating %.1f and regional threat %.1f, threat sources: %s",
["dropping ", ""][use_protection], reason, this_planet,
local_production_diff, combined_local_defenses, local_fleet_rating,
regional_threat, sys_status['regional_fleet_threats'])
return use_protection
def evaluate_invasion_planet(planet_id, secure_fleet_missions, verbose=True):
"""Return the invasion value (score, troops) of a planet."""
detail = []
building_values = {"BLD_IMPERIAL_PALACE": 1000,
"BLD_CULTURE_ARCHIVES": 1000,
"BLD_AUTO_HISTORY_ANALYSER": 100,
"BLD_SHIPYARD_BASE": 100,
"BLD_SHIPYARD_ORG_ORB_INC": 200,
"BLD_SHIPYARD_ORG_XENO_FAC": 200,
"BLD_SHIPYARD_ORG_CELL_GRO_CHAMB": 200,
"BLD_SHIPYARD_CON_NANOROBO": 300,
"BLD_SHIPYARD_CON_GEOINT": 400,
"BLD_SHIPYARD_CON_ADV_ENGINE": 1000,
"BLD_SHIPYARD_AST": 300,
"BLD_SHIPYARD_AST_REF": 1000,
"BLD_SHIPYARD_ENRG_SOLAR": 1500,
"BLD_INDUSTRY_CENTER": 500,
"BLD_GAS_GIANT_GEN": 200,
"BLD_SOL_ORB_GEN": 800,
"BLD_BLACK_HOLE_POW_GEN": 2000,
"BLD_ENCLAVE_VOID": 500,
"BLD_NEUTRONIUM_EXTRACTOR": 2000,
"BLD_NEUTRONIUM_SYNTH": 2000,
"BLD_NEUTRONIUM_FORGE": 1000,
"BLD_CONC_CAMP": 100,
"BLD_BIOTERROR_PROJECTOR": 1000,
"BLD_SHIPYARD_ENRG_COMP": 3000,
}
# TODO: add more factors, as used for colonization
universe = fo.getUniverse()
empire_id = fo.empireID()
max_jumps = 8
planet = universe.getPlanet(planet_id)
if planet is None: # TODO: exclude planets with stealth higher than empireDetection
print "invasion AI couldn't access any info for planet id %d" % planet_id
return [0, 0]
sys_partial_vis_turn = get_partial_visibility_turn(planet.systemID)
planet_partial_vis_turn = get_partial_visibility_turn(planet_id)
if planet_partial_vis_turn < sys_partial_vis_turn:
print "invasion AI couldn't get current info on planet id %d (was stealthed at last sighting)" % planet_id
# TODO: track detection strength, order new scouting when it goes up
return [0, 0] # last time we had partial vis of the system, the planet was stealthed to us
species_name = planet.speciesName
species = fo.getSpecies(species_name)
if not species or AIDependencies.TAG_DESTROYED_ON_CONQUEST in species.tags:
# this call iterates over this Empire's available species with which it could colonize after an invasion
planet_eval = ColonisationAI.assign_colonisation_values([planet_id], MissionType.INVASION, None, detail)
pop_val = max(0.75 * planet_eval.get(planet_id, [0])[0],
ColonisationAI.evaluate_planet(planet_id, MissionType.OUTPOST, None, detail))
else:
pop_val = ColonisationAI.evaluate_planet(planet_id, MissionType.INVASION, species_name, detail)
bld_tally = 0
for bldType in [universe.getBuilding(bldg).buildingTypeName for bldg in planet.buildingIDs]:
bval = building_values.get(bldType, 50)
bld_tally += bval
detail.append("%s: %d" % (bldType, bval))
tech_tally = 0
for unlocked_tech in AIDependencies.SPECIES_TECH_UNLOCKS.get(species_name, []):
if not tech_is_complete(unlocked_tech):
rp_cost = fo.getTech(unlocked_tech).researchCost(empire_id)
tech_tally += rp_cost * 4
detail.append("%s: %d" % (unlocked_tech, rp_cost * 4))
p_sys_id = planet.systemID
capitol_id = PlanetUtilsAI.get_capital()
least_jumps_path = []
clear_path = True
if capitol_id:
homeworld = universe.getPlanet(capitol_id)
if homeworld:
home_system_id = homeworld.systemID
eval_system_id = planet.systemID
if (home_system_id != INVALID_ID) and (eval_system_id != INVALID_ID):
least_jumps_path = list(universe.leastJumpsPath(home_system_id, eval_system_id, empire_id))
max_jumps = len(least_jumps_path)
system_status = foAI.foAIstate.systemStatus.get(p_sys_id, {})
system_fleet_treat = system_status.get('fleetThreat', 1000)
system_monster_threat = system_status.get('monsterThreat', 0)
sys_total_threat = system_fleet_treat + system_monster_threat + system_status.get('planetThreat', 0)
max_path_threat = system_fleet_treat
mil_ship_rating = MilitaryAI.cur_best_mil_ship_rating()
for path_sys_id in least_jumps_path:
path_leg_status = foAI.foAIstate.systemStatus.get(path_sys_id, {})
path_leg_threat = path_leg_status.get('fleetThreat', 1000) + path_leg_status.get('monsterThreat', 0)
if path_leg_threat > 0.5 * mil_ship_rating:
clear_path = False
if path_leg_threat > max_path_threat:
max_path_threat = path_leg_threat
pop = planet.currentMeterValue(fo.meterType.population)
target_pop = planet.currentMeterValue(fo.meterType.targetPopulation)
troops = planet.currentMeterValue(fo.meterType.troops)
max_troops = planet.currentMeterValue(fo.meterType.maxTroops)
# TODO: refactor troop determination into function for use in mid-mission updates and also consider defender techs
max_troops += AIDependencies.TROOPS_PER_POP * (target_pop - pop)
this_system = universe.getSystem(p_sys_id)
secure_targets = [p_sys_id] + list(this_system.planetIDs)
system_secured = False
for mission in secure_fleet_missions:
if system_secured:
break
secure_fleet_id = mission.fleet.id
s_fleet = universe.getFleet(secure_fleet_id)
if not s_fleet or s_fleet.systemID != p_sys_id:
continue
if mission.type == MissionType.SECURE:
target_obj = mission.target.get_object()
if target_obj is not None and target_obj.id in secure_targets:
system_secured = True
break
system_secured = system_secured and system_status.get('myFleetRating', 0)
if verbose:
print ("Invasion eval of %s\n"
" - maxShields: %.1f\n"
" - sysFleetThreat: %.1f\n"
" - sysMonsterThreat: %.1f") % (
planet, planet.currentMeterValue(fo.meterType.maxShield), system_fleet_treat,
system_monster_threat)
supply_val = 0
enemy_val = 0
if planet.owner != -1: # value in taking this away from an enemy
enemy_val = 20 * (planet.currentMeterValue(fo.meterType.targetIndustry) +
2*planet.currentMeterValue(fo.meterType.targetResearch))
if p_sys_id in ColonisationAI.annexable_system_ids: # TODO: extend to rings
supply_val = 100
elif p_sys_id in state.get_systems_by_supply_tier(-1):
supply_val = 200
elif p_sys_id in state.get_systems_by_supply_tier(-2):
supply_val = 300
elif p_sys_id in state.get_systems_by_supply_tier(-3):
supply_val = 400
if max_path_threat > 0.5 * mil_ship_rating:
if max_path_threat < 3 * mil_ship_rating:
supply_val *= 0.5
else:
supply_val *= 0.2
# devalue invasions that would require too much military force
threat_factor = min(1, 0.2*MilitaryAI.get_tot_mil_rating()/(sys_total_threat+0.001))**2
design_id, _, locs = ProductionAI.get_best_ship_info(PriorityType.PRODUCTION_INVASION)
if not locs or not universe.getPlanet(locs[0]):
# We are in trouble anyway, so just calculate whatever approximation...
build_time = 4
planned_troops = troops if system_secured else min(troops + max_jumps + build_time, max_troops)
planned_troops += .01 # we must attack with more troops than there are defenders
troop_cost = math.ceil((planned_troops+_TROOPS_SAFETY_MARGIN) / 6.0) * 20 * FleetUtilsAI.get_fleet_upkeep()
else:
loc = locs[0]
species_here = universe.getPlanet(loc).speciesName
design = fo.getShipDesign(design_id)
cost_per_ship = design.productionCost(empire_id, loc)
build_time = design.productionTime(empire_id, loc)
troops_per_ship = CombatRatingsAI.weight_attack_troops(design.troopCapacity,
CombatRatingsAI.get_species_troops_grade(species_here))
planned_troops = troops if system_secured else min(troops + max_jumps + build_time, max_troops)
planned_troops += .01 # we must attack with more troops than there are defenders
ships_needed = math.ceil((planned_troops+_TROOPS_SAFETY_MARGIN) / float(troops_per_ship))
troop_cost = ships_needed * cost_per_ship # fleet upkeep is already included in query from server
# apply some bias to expensive operations
normalized_cost = float(troop_cost) / max(fo.getEmpire().productionPoints, 1)
normalized_cost = max(1., normalized_cost)
cost_score = (normalized_cost**2 / 50.0) * troop_cost
base_score = pop_val + supply_val + bld_tally + tech_tally + enemy_val - cost_score
planet_score = retaliation_risk_factor(planet.owner) * threat_factor * max(0, base_score)
if clear_path:
planet_score *= 1.5
if verbose:
print (' - planet score: %.2f\n'
' - troop score: %.2f\n'
' - projected troop cost: %.1f\n'
' - threat factor: %s\n'
' - planet detail: %s\n'
' - popval: %.1f\n'
' - supplyval: %.1f\n'
' - bldval: %s\n'
' - enemyval: %s') % (planet_score, planned_troops, troop_cost,
threat_factor, detail, pop_val, supply_val, bld_tally, enemy_val)
return [planet_score, planned_troops]
def calc_max_pop(planet, species, detail):
planet_size = planet.habitableSize
planet_env = species.getPlanetEnvironment(planet.type)
if planet_env == fo.planetEnvironment.uninhabitable:
detail.append("Uninhabitable.")
return 0
for bldg_id in planet.buildingIDs:
building = fo.getUniverse().getBuilding(bldg_id)
if not building:
continue
if building.buildingTypeName == "BLD_GATEWAY_VOID":
detail.append("Gateway to the void: Uninhabitable.")
return 0
tag_list = list(species.tags) if species else []
pop_tag_mod = AIDependencies.SPECIES_POPULATION_MODIFIER.get(
get_species_tag_grade(species.name, Tags.POPULATION), 1.0)
if planet.type == fo.planetType.gasGiant and "GASEOUS" in tag_list:
gaseous_adjustment = AIDependencies.GASEOUS_POP_FACTOR
detail.append("GASEOUS adjustment: %.2f" % gaseous_adjustment)
else:
gaseous_adjustment = 1.0
if planet.type != fo.planetType.asteroids and "MINDLESS_SPECIES" in tag_list:
mindless_adjustment = AIDependencies.MINDLESS_POP_FACTOR
detail.append("MINDLESS adjustment: %.2f" % mindless_adjustment)
else:
mindless_adjustment = 1.0
planet_specials = set(planet.specials)
base_pop_modified_by_species = 0
base_pop_not_modified_by_species = 0
pop_const_mod = 0
# first, account for the environment
environment_mod = POP_SIZE_MOD_MAP_MODIFIED_BY_SPECIES[
"environment_bonus"][planet_env]
detail.append("Base environment: %d" % environment_mod)
base_pop_modified_by_species += environment_mod
# find all applicable modifiers
for tech in POP_SIZE_MOD_MAP_MODIFIED_BY_SPECIES:
if tech != "environment_bonus" and tech_is_complete(tech):
base_pop_modified_by_species += POP_SIZE_MOD_MAP_MODIFIED_BY_SPECIES[
tech][planet_env]
detail.append(
"%s_PSM_early(%d)" %
(tech, POP_SIZE_MOD_MAP_MODIFIED_BY_SPECIES[tech][planet_env]))
for tech in POP_SIZE_MOD_MAP_NOT_MODIFIED_BY_SPECIES:
if tech_is_complete(tech):
base_pop_not_modified_by_species += POP_SIZE_MOD_MAP_NOT_MODIFIED_BY_SPECIES[
tech][planet_env]
detail.append(
"%s_PSM_late(%d)" %
(tech,
POP_SIZE_MOD_MAP_NOT_MODIFIED_BY_SPECIES[tech][planet_env]))
for tech in POP_CONST_MOD_MAP:
if tech_is_complete(tech):
pop_const_mod += POP_CONST_MOD_MAP[tech][planet_env]
detail.append("%s_PCM(%d)" %
(tech, POP_CONST_MOD_MAP[tech][planet_env]))
for _special in planet_specials.intersection(
AIDependencies.POP_FIXED_MOD_SPECIALS):
this_mod = AIDependencies.POP_FIXED_MOD_SPECIALS[_special]
detail.append("%s_PCM(%d)" % (_special, this_mod))
pop_const_mod += this_mod
for _special in planet_specials.intersection(
AIDependencies.POP_PROPORTIONAL_MOD_SPECIALS):
this_mod = AIDependencies.POP_PROPORTIONAL_MOD_SPECIALS[_special]
detail.append("%s (maxPop%+.1f)" % (_special, this_mod))
base_pop_not_modified_by_species += this_mod
# exobots and sly can't ever get to good environ so no gaia bonus, for others we'll assume they'll get there
if "GAIA_SPECIAL" in planet_specials and species.name != "SP_EXOBOT" and species.name != "SP_SLY":
base_pop_not_modified_by_species += 3
detail.append("Gaia_PSM_late(3)")
if "SELF_SUSTAINING" in tag_list:
if planet_env == fo.planetEnvironment.good:
base_pop_not_modified_by_species += 3
detail.append("SelfSustaining_PSM_late(3)")
applicable_boosts = set()
for this_tag in [
tag for tag in tag_list if tag in AIDependencies.metabolismBoostMap
]:
metab_boosts = AIDependencies.metabolismBoostMap.get(this_tag, [])
for key in active_growth_specials.keys():
if len(active_growth_specials[key]) > 0 and key in metab_boosts:
applicable_boosts.add(key)
detail.append("%s boost active" % key)
for boost in metab_boosts:
if boost in planet_specials:
applicable_boosts.add(boost)
detail.append("%s boost present" % boost)
n_boosts = len(applicable_boosts)
if n_boosts:
base_pop_not_modified_by_species += n_boosts
detail.append("boosts_PSM(%d from %s)" % (n_boosts, applicable_boosts))
if planet.id in species.homeworlds:
detail.append("Homeworld (2)")
base_pop_not_modified_by_species += 2
if AIDependencies.TAG_LIGHT_SENSITIVE in tag_list:
star_type = fo.getUniverse().getSystem(planet.systemID).starType
star_pop_mod = AIDependencies.POP_MOD_LIGHTSENSITIVE_STAR_MAP.get(
star_type, 0)
base_pop_not_modified_by_species += star_pop_mod
detail.append("Lightsensitive Star Bonus_PSM_late(%.1f)" %
star_pop_mod)
def max_pop_size():
species_effect = (pop_tag_mod - 1) * abs(base_pop_modified_by_species)
gaseous_effect = (gaseous_adjustment -
1) * abs(base_pop_modified_by_species)
mindless_effect = (mindless_adjustment -
1) * abs(base_pop_modified_by_species)
base_pop = (base_pop_not_modified_by_species +
base_pop_modified_by_species + species_effect +
gaseous_effect + mindless_effect)
return planet_size * base_pop + pop_const_mod
target_pop = max_pop_size()
if "PHOTOTROPHIC" in tag_list and target_pop > 0:
star_type = fo.getUniverse().getSystem(planet.systemID).starType
star_pop_mod = AIDependencies.POP_MOD_PHOTOTROPHIC_STAR_MAP.get(
star_type, 0)
base_pop_not_modified_by_species += star_pop_mod
detail.append("Phototropic Star Bonus_PSM_late(%0.1f)" % star_pop_mod)
target_pop = max_pop_size()
detail.append(
"max_pop = base + size*[psm_early + species_mod*abs(psm_early) + psm_late]"
)
detail.append(" = %.2f + %d * [%.2f + %.2f*abs(%.2f) + %.2f]" % (
pop_const_mod,
planet_size,
base_pop_modified_by_species,
(pop_tag_mod + gaseous_adjustment - 2),
base_pop_modified_by_species,
base_pop_not_modified_by_species,
))
detail.append(" = %.2f" % target_pop)
return target_pop
def generate_classic_research_orders():
"""generate research orders"""
empire = fo.getEmpire()
empire_id = empire.empireID
aistate = get_aistate()
enemies_sighted = aistate.misc.get("enemies_sighted", {})
galaxy_is_sparse = ColonisationAI.galaxy_is_sparse()
resource_production = empire.resourceProduction(fo.resourceType.research)
completed_techs = sorted(list(get_completed_techs()))
_print_reserch_order_header(resource_production, completed_techs)
#
# report techs currently at head of research queue
#
research_queue = empire.researchQueue
research_queue_list = get_research_queue_techs()
total_rp = empire.resourceProduction(fo.resourceType.research)
tech_turns_left = {}
if research_queue_list:
debug("Techs currently at head of Research Queue:")
for element in list(research_queue)[:10]:
tech_turns_left[element.tech] = element.turnsLeft
this_tech = fo.getTech(element.tech)
if not this_tech:
warning("Can't retrieve tech ", element.tech)
continue
missing_prereqs = [
preReq
for preReq in this_tech.recursivePrerequisites(empire_id)
if preReq not in completed_techs
]
# unlocked_items = [(uli.name, uli.type) for uli in this_tech.unlocked_items]
unlocked_items = [uli.name for uli in this_tech.unlockedItems]
if not missing_prereqs:
debug(
" %25s allocated %6.2f RP (%d turns left)-- unlockable items: %s ",
element.tech,
element.allocation,
tech_turns_left[element.tech],
unlocked_items,
)
else:
debug(
" %25s allocated %6.2f RP -- missing preReqs: %s -- unlockable items: %s ",
element.tech,
element.allocation,
missing_prereqs,
unlocked_items,
)
debug("")
#
# set starting techs, or after turn 100 add any additional default techs
#
if (fo.currentTurn() <= 2) or ((total_rp - research_queue.totalSpent) > 0):
research_index = get_research_index()
if fo.currentTurn() == 1:
# do only this one on first turn, to facilitate use of a turn-1 savegame for testing of alternate
# research strategies
new_tech = ["LRN_PHYS_BRAIN", "GRO_PLANET_ECOL"]
else:
new_tech = (TechsListsAI.sparse_galaxy_techs(research_index)
if galaxy_is_sparse else
TechsListsAI.primary_meta_techs(research_index))
debug("Empire %s (%d) is selecting research index %d", empire.name,
empire_id, research_index)
# techs_to_enqueue = (set(new_tech)-(set(completed_techs)|set(research_queue_list)))
techs_to_enqueue = new_tech[:]
tech_base = set(completed_techs + research_queue_list)
techs_to_add = []
for tech in techs_to_enqueue:
if tech not in tech_base:
this_tech = fo.getTech(tech)
if this_tech is None:
error("Desired tech '%s' appears to not exist" % tech)
continue
missing_prereqs = [
preReq
for preReq in this_tech.recursivePrerequisites(empire_id)
if preReq not in tech_base
]
techs_to_add.extend(missing_prereqs + [tech])
tech_base.update(missing_prereqs + [tech])
cum_cost = 0
debug(" Enqueued Tech: %20s \t\t %8s \t %s", "Name", "Cost",
"CumulativeCost")
for name in techs_to_add:
try:
enqueue_res = fo.issueEnqueueTechOrder(name, -1)
if enqueue_res == 1:
this_tech = fo.getTech(name)
this_cost = 0
if this_tech:
this_cost = this_tech.researchCost(empire_id)
cum_cost += this_cost
debug(" Enqueued Tech: %20s \t\t %8.0f \t %8.0f", name,
this_cost, cum_cost)
else:
warning(" Failed attempt to enqueued Tech: " + name)
except: # noqa: E722
warning(" Failed attempt to enqueued Tech: " + name,
exc_info=True)
debug("\n\nAll techs:")
debug("=" * 20)
alltechs = fo.techs()
print_in_columns(sorted(fo.techs()), columns=3)
debug("\n\nAll unqueued techs:")
debug("=" * 20)
# coveredTechs = new_tech+completed_techs
print_in_columns([tn for tn in alltechs if tn not in tech_base],
columns=3)
debug("")
if fo.currentTurn() == 1:
return
if True:
research_queue_list = get_research_queue_techs()
def_techs = TechsListsAI.defense_techs_1()
for def_tech in def_techs:
if (aistate.character.may_research_tech_classic(def_tech)
and def_tech not in research_queue_list[:5]
and not tech_is_complete(def_tech)):
res = fo.issueEnqueueTechOrder(
def_tech, min(3, len(research_queue_list)))
debug(
"Empire is very defensive, so attempted to fast-track %s, got result %d",
def_tech, res)
if False: # with current stats of Conc Camps, disabling this fast-track
research_queue_list = get_research_queue_techs()
if "CON_CONC_CAMP" in research_queue_list and aistate.character.may_research_tech_classic(
"CON_CONC_CAMP"):
insert_idx = min(40,
research_queue_list.index("CON_CONC_CAMP"))
else:
insert_idx = max(0, min(40, len(research_queue_list) - 10))
if "SHP_DEFLECTOR_SHIELD" in research_queue_list and aistate.character.may_research_tech_classic(
"SHP_DEFLECTOR_SHIELD"):
insert_idx = min(
insert_idx,
research_queue_list.index("SHP_DEFLECTOR_SHIELD"))
for cc_tech in ["CON_ARCH_PSYCH", "CON_CONC_CAMP"]:
if (cc_tech not in research_queue_list[:insert_idx + 1]
and not tech_is_complete(cc_tech) and
aistate.character.may_research_tech_classic(cc_tech)):
res = fo.issueEnqueueTechOrder(cc_tech, insert_idx)
debug(
"Empire is very aggressive, so attempted to fast-track %s, got result %d",
cc_tech, res)
elif fo.currentTurn() > 100:
generate_default_research_order()
research_queue_list = get_research_queue_techs()
num_techs_accelerated = 1 # will ensure leading tech doesn't get dislodged
got_ggg_tech = tech_is_complete("PRO_ORBITAL_GEN")
got_sym_bio = tech_is_complete("GRO_SYMBIOTIC_BIO")
got_xeno_gen = tech_is_complete("GRO_XENO_GENETICS")
#
# Consider accelerating techs; priority is
# Supply/Detect range
# xeno arch
# ast / GG
# gro xeno gen
# distrib thought
# quant net
# pro sing gen
# death ray 1 cleanup
nest_tech = Dep.NEST_DOMESTICATION_TECH
artif_minds = Dep.LRN_ARTIF_MINDS_1
if have_nest() and not tech_is_complete(nest_tech):
if artif_minds in research_queue_list:
insert_idx = 1 + research_queue_list.index(artif_minds)
else:
insert_idx = 1
res = fo.issueEnqueueTechOrder(nest_tech, insert_idx)
num_techs_accelerated += 1
debug(
"Have a monster nest, so attempted to fast-track %s, got result %d",
nest_tech, res)
research_queue_list = get_research_queue_techs()
#
# Supply range and detection range
if False: # disabled for now, otherwise just to help with cold-folding / organization
if len(aistate.colonisablePlanetIDs) == 0:
best_colony_site_score = 0
else:
best_colony_site_score = next(
iter(aistate.colonisablePlanetIDs.items()))[1]
if len(aistate.colonisableOutpostIDs) == 0:
best_outpost_site_score = 0
else:
best_outpost_site_score = next(
iter(aistate.colonisableOutpostIDs.items()))[1]
need_improved_scouting = best_colony_site_score < 150 or best_outpost_site_score < 200
if need_improved_scouting:
if not tech_is_complete("CON_ORBITAL_CON"):
num_techs_accelerated += 1
if ("CON_ORBITAL_CON"
not in research_queue_list[:1 + num_techs_accelerated]
) and (tech_is_complete("PRO_FUSION_GEN") or
("PRO_FUSION_GEN"
in research_queue_list[:1 +
num_techs_accelerated])):
res = fo.issueEnqueueTechOrder("CON_ORBITAL_CON",
num_techs_accelerated)
debug(
"Empire has poor colony/outpost prospects, so attempted to fast-track %s, got result %d",
"CON_ORBITAL_CON",
res,
)
elif not tech_is_complete("CON_CONTGRAV_ARCH"):
num_techs_accelerated += 1
if ("CON_CONTGRAV_ARCH"
not in research_queue_list[:1 + num_techs_accelerated]
) and (tech_is_complete("CON_METRO_INFRA")):
for supply_tech in [
_s_tech for _s_tech in
["CON_ARCH_MONOFILS", "CON_CONTGRAV_ARCH"]
if not tech_is_complete(_s_tech)
]:
res = fo.issueEnqueueTechOrder(supply_tech,
num_techs_accelerated)
debug(
"Empire has poor colony/outpost prospects, so attempted to fast-track %s, got result %d",
supply_tech,
res,
)
else:
pass
research_queue_list = get_research_queue_techs()
# could add more supply tech
if False and not tech_is_complete(
"SPY_DETECT_2"): # disabled for now, detect2
num_techs_accelerated += 1
if "SPY_DETECT_2" not in research_queue_list[:2 +
num_techs_accelerated] and tech_is_complete(
"PRO_FUSION_GEN"
):
if "CON_ORBITAL_CON" not in research_queue_list[:1 +
num_techs_accelerated]:
res = fo.issueEnqueueTechOrder("SPY_DETECT_2",
num_techs_accelerated)
else:
co_idx = research_queue_list.index("CON_ORBITAL_CON")
res = fo.issueEnqueueTechOrder("SPY_DETECT_2",
co_idx + 1)
debug(
"Empire has poor colony/outpost prospects, so attempted to fast-track %s, got result %d"
"CON_ORBITAL_CON",
res,
)
research_queue_list = get_research_queue_techs()
#
# check to accelerate xeno_arch
if True: # just to help with cold-folding / organization
if (have_ruins() and not tech_is_complete("LRN_XENOARCH") and
aistate.character.may_research_tech_classic("LRN_XENOARCH")):
if artif_minds in research_queue_list:
insert_idx = 7 + research_queue_list.index(artif_minds)
elif "GRO_SYMBIOTIC_BIO" in research_queue_list:
insert_idx = research_queue_list.index("GRO_SYMBIOTIC_BIO") + 1
else:
insert_idx = num_techs_accelerated
if "LRN_XENOARCH" not in research_queue_list[:insert_idx]:
for xenoTech in [
"LRN_XENOARCH", "LRN_TRANSLING_THT", "LRN_PHYS_BRAIN",
"LRN_ALGO_ELEGANCE"
]:
if not tech_is_complete(
xenoTech
) and xenoTech not in research_queue_list[:(insert_idx +
4)]:
res = fo.issueEnqueueTechOrder(xenoTech, insert_idx)
num_techs_accelerated += 1
debug(
"ANCIENT_RUINS: have an ancient ruins, so attempted to fast-track %s to enable LRN_XENOARCH, got result %d",
xenoTech,
res,
)
research_queue_list = get_research_queue_techs()
if False and not enemies_sighted: # curently disabled
# params = [ (tech, gate, target_slot, add_tech_list), ]
params = [
("GRO_XENO_GENETICS", "PRO_EXOBOTS", "PRO_EXOBOTS",
["GRO_GENETIC_MED", "GRO_XENO_GENETICS"]),
("PRO_EXOBOTS", "PRO_ADAPTIVE_AUTOMATION",
"PRO_ADAPTIVE_AUTOMATION", ["PRO_EXOBOTS"]),
("PRO_ADAPTIVE_AUTOMATION", "PRO_NANOTECH_PROD",
"PRO_NANOTECH_PROD", ["PRO_ADAPTIVE_AUTOMATION"]),
(
"PRO_INDUSTRY_CENTER_I",
"GRO_SYMBIOTIC_BIO",
"GRO_SYMBIOTIC_BIO",
[
"PRO_ROBOTIC_PROD", "PRO_FUSION_GEN",
"PRO_INDUSTRY_CENTER_I"
],
),
("GRO_SYMBIOTIC_BIO", "SHP_ORG_HULL", "SHP_ZORTRIUM_PLATE",
["GRO_SYMBIOTIC_BIO"]),
]
for (tech, gate, target_slot, add_tech_list) in params:
if tech_is_complete(tech):
break
if tech_turns_left.get(gate, 0) not in [
0,
1,
2,
]: # needs to exclude -1, the flag for no predicted completion
continue
if target_slot in research_queue_list:
target_index = 1 + research_queue_list.index(target_slot)
else:
target_index = num_techs_accelerated
for move_tech in add_tech_list:
debug(
"for tech %s, target_slot %s, target_index:%s ; num_techs_accelerated:%s",
move_tech,
target_slot,
target_index,
num_techs_accelerated,
)
if tech_is_complete(move_tech):
continue
if target_index <= num_techs_accelerated:
num_techs_accelerated += 1
if move_tech not in research_queue_list[:1 + target_index]:
fo.issueEnqueueTechOrder(move_tech, target_index)
debug(
"Research: To prioritize %s, have advanced %s to slot %d",
tech, move_tech, target_index)
target_index += 1
#
# check to accelerate asteroid or GG tech
if True: # just to help with cold-folding / organization
if have_asteroids():
insert_idx = (num_techs_accelerated
if "GRO_SYMBIOTIC_BIO" not in research_queue_list
else research_queue_list.index("GRO_SYMBIOTIC_BIO"))
ast_tech = "PRO_MICROGRAV_MAN"
if not (tech_is_complete(ast_tech)
or ast_tech in research_queue_list[:(1 + insert_idx)]):
res = fo.issueEnqueueTechOrder(ast_tech, insert_idx)
num_techs_accelerated += 1
debug(
"Asteroids: plan to colonize an asteroid belt, so attempted to fast-track %s , got result %d",
ast_tech,
res,
)
research_queue_list = get_research_queue_techs()
elif tech_is_complete("SHP_ZORTRIUM_PLATE"):
insert_idx = (
(1 + insert_idx)
if "LRN_FORCE_FIELD" not in research_queue_list else max(
1 + insert_idx,
research_queue_list.index("LRN_FORCE_FIELD") - 1))
for ast_tech in [
"SHP_ASTEROID_HULLS", "SHP_IMPROVED_ENGINE_COUPLINGS"
]:
if not tech_is_complete(
ast_tech
) and ast_tech not in research_queue_list[:insert_idx + 1]:
res = fo.issueEnqueueTechOrder(ast_tech, insert_idx)
num_techs_accelerated += 1
insert_idx += 1
debug(
"Asteroids: plan to colonize an asteroid belt, so attempted to fast-track %s , got result %d",
ast_tech,
res,
)
research_queue_list = get_research_queue_techs()
if have_gas_giant() and not tech_is_complete("PRO_ORBITAL_GEN"):
fusion_idx = (0 if "PRO_FUSION_GEN" not in research_queue_list else
(1 + research_queue_list.index("PRO_FUSION_GEN")))
forcefields_idx = (0 if "LRN_FORCE_FIELD"
not in research_queue_list else
(1 +
research_queue_list.index("LRN_FORCE_FIELD")))
insert_idx = max(
fusion_idx, forcefields_idx) if enemies_sighted else fusion_idx
if "PRO_ORBITAL_GEN" not in research_queue_list[:insert_idx + 1]:
res = fo.issueEnqueueTechOrder("PRO_ORBITAL_GEN", insert_idx)
num_techs_accelerated += 1
debug(
"GasGiant: plan to colonize a gas giant, so attempted to fast-track %s, got result %d",
"PRO_ORBITAL_GEN",
res,
)
research_queue_list = get_research_queue_techs()
#
# assess if our empire has any non-lousy colonizers, & boost gro_xeno_gen if we don't
if True: # just to help with cold-folding / organization
if got_ggg_tech and got_sym_bio and (not got_xeno_gen):
most_adequate = 0
for specName in get_colony_builders():
environs = {}
this_spec = fo.getSpecies(specName)
if not this_spec:
continue
for ptype in [
fo.planetType.swamp,
fo.planetType.radiated,
fo.planetType.toxic,
fo.planetType.inferno,
fo.planetType.barren,
fo.planetType.tundra,
fo.planetType.desert,
fo.planetType.terran,
fo.planetType.ocean,
fo.planetType.asteroids,
]:
environ = this_spec.getPlanetEnvironment(ptype)
environs.setdefault(environ, []).append(ptype)
most_adequate = max(
most_adequate,
len(environs.get(fo.planetEnvironment.adequate, [])))
if most_adequate == 0:
insert_idx = num_techs_accelerated
for xg_tech in ["GRO_XENO_GENETICS", "GRO_GENETIC_ENG"]:
if (xg_tech
not in research_queue_list[:1 +
num_techs_accelerated]
and not tech_is_complete(xg_tech)
and aistate.character.may_research_tech_classic(
xg_tech)):
res = fo.issueEnqueueTechOrder(xg_tech, insert_idx)
num_techs_accelerated += 1
debug(
"Empire has poor colonizers, so attempted to fast-track %s, got result %d",
xg_tech,
res,
)
research_queue_list = get_research_queue_techs()
#
# check to accelerate translinguistics
if True: # just to help with cold-folding / organization
# planet is needed to determine the cost. Without a capital we have bigger problems anyway...
if not tech_is_complete("LRN_TRANSLING_THT") and translators_wanted():
insert_idx = num_techs_accelerated
for dt_ech in [
"LRN_TRANSLING_THT", "LRN_PHYS_BRAIN", "LRN_ALGO_ELEGANCE"
]:
if (dt_ech not in research_queue_list[:insert_idx + 2]
and not tech_is_complete(dt_ech) and
aistate.character.may_research_tech_classic(dt_ech)):
res = fo.issueEnqueueTechOrder(dt_ech, insert_idx)
num_techs_accelerated += 1
insert_idx += 1
fmt_str = "Empire wants to build translators, so attempted to fast-track %s (got result %d)"
fmt_str += " with current target_RP %.1f and current pop %.1f, on turn %d"
debug(fmt_str, dt_ech, res, resource_production,
empire.population(), fo.currentTurn())
research_queue_list = get_research_queue_techs()
#
# check to accelerate distrib thought
if True: # just to help with cold-folding / organization
if not tech_is_complete("LRN_DISTRIB_THOUGHT"):
got_telepathy = False
for specName in get_empire_planets_by_species():
this_spec = fo.getSpecies(specName)
if this_spec and ("TELEPATHIC" in list(this_spec.tags)):
got_telepathy = True
break
pop_threshold = 100 if got_telepathy else 300
if empire.population() > pop_threshold:
insert_idx = num_techs_accelerated
for dt_ech in [
"LRN_PHYS_BRAIN", "LRN_TRANSLING_THT", "LRN_PSIONICS",
"LRN_DISTRIB_THOUGHT"
]:
if (dt_ech not in research_queue_list[:insert_idx + 2]
and not tech_is_complete(dt_ech)
and aistate.character.may_research_tech_classic(
dt_ech)):
res = fo.issueEnqueueTechOrder(dt_ech, insert_idx)
num_techs_accelerated += 1
insert_idx += 1
fmt_str = "Empire has a telepathic race, so attempted to fast-track %s (got result %d)"
fmt_str += " with current target_RP %.1f and current pop %.1f, on turn %d"
debug(fmt_str, dt_ech, res, resource_production,
empire.population(), fo.currentTurn())
research_queue_list = get_research_queue_techs()
#
# check to accelerate quant net
if False: # disabled for now, otherwise just to help with cold-folding / organization
if aistate.character.may_research_tech_classic("LRN_QUANT_NET") and (
population_with_research_focus() >= 40):
if not tech_is_complete("LRN_QUANT_NET"):
insert_idx = num_techs_accelerated # TODO determine min target slot if reenabling
for qnTech in ["LRN_NDIM_SUBSPACE", "LRN_QUANT_NET"]:
if qnTech not in research_queue_list[:insert_idx +
2] and not tech_is_complete(
qnTech):
res = fo.issueEnqueueTechOrder(qnTech, insert_idx)
num_techs_accelerated += 1
insert_idx += 1
debug(
"Empire has many researchers, so attempted to fast-track %s (got result %d) on turn %d",
qnTech,
res,
fo.currentTurn(),
)
research_queue_list = get_research_queue_techs()
#
# if we own a blackhole, accelerate sing_gen and conc camp
if True: # just to help with cold-folding / organization
if (fo.currentTurn() > 50 and
len(AIstate.empireStars.get(fo.starType.blackHole, [])) != 0
and
aistate.character.may_research_tech_classic("PRO_SINGULAR_GEN")
and not tech_is_complete(Dep.PRO_SINGULAR_GEN)
and tech_is_complete("LRN_EVERYTHING")):
# sing_tech_list = [ "LRN_GRAVITONICS" , "PRO_SINGULAR_GEN"] # formerly also "CON_ARCH_PSYCH", "CON_CONC_CAMP",
sing_gen_tech = fo.getTech(Dep.PRO_SINGULAR_GEN)
sing_tech_list = [
pre_req
for pre_req in sing_gen_tech.recursivePrerequisites(empire_id)
if not tech_is_complete(pre_req)
]
sing_tech_list += [Dep.PRO_SINGULAR_GEN]
for singTech in sing_tech_list:
if singTech not in research_queue_list[:num_techs_accelerated +
1]:
res = fo.issueEnqueueTechOrder(singTech,
num_techs_accelerated)
num_techs_accelerated += 1
debug(
"have a black hole star outpost/colony, so attempted to fast-track %s, got result %d",
singTech,
res,
)
research_queue_list = get_research_queue_techs()
#
# if got deathray from Ruins, remove most prereqs from queue
if True: # just to help with cold-folding / organization
if tech_is_complete("SHP_WEAPON_4_1"):
this_tech = fo.getTech("SHP_WEAPON_4_1")
if this_tech:
missing_prereqs = [
preReq
for preReq in this_tech.recursivePrerequisites(empire_id)
if preReq in research_queue_list
]
if len(missing_prereqs
) > 2: # leave plasma 4 and 3 if up to them already
for preReq in missing_prereqs: # sorted(missing_prereqs, reverse=True)[2:]
if preReq in research_queue_list:
fo.issueDequeueTechOrder(preReq)
research_queue_list = get_research_queue_techs()
if "SHP_WEAPON_4_2" in research_queue_list: # (should be)
idx = research_queue_list.index("SHP_WEAPON_4_2")
fo.issueEnqueueTechOrder("SHP_WEAPON_4_2",
max(0, idx - 18))
# TODO: Remove the following example code
# Example/Test code for the new ShipDesigner functionality
techs = [
"SHP_WEAPON_4_2", "SHP_TRANSSPACE_DRIVE", "SHP_INTSTEL_LOG",
"SHP_ASTEROID_HULLS", ""
]
for tech in techs:
this_tech = fo.getTech(tech)
if not this_tech:
debug("Invalid Tech specified")
continue
unlocked_items = this_tech.unlockedItems
unlocked_hulls = []
unlocked_parts = []
for item in unlocked_items:
if item.type == fo.unlockableItemType.shipPart:
debug("Tech %s unlocks a ShipPart: %s", tech, item.name)
unlocked_parts.append(item.name)
elif item.type == fo.unlockableItemType.shipHull:
debug("Tech %s unlocks a ShipHull: %s", tech, item.name)
unlocked_hulls.append(item.name)
if not (unlocked_parts or unlocked_hulls):
debug("No new ship parts/hulls unlocked by tech %s", tech)
continue
old_designs = ShipDesignAI.WarShipDesigner().optimize_design(
consider_fleet_count=False)
new_designs = ShipDesignAI.WarShipDesigner().optimize_design(
additional_hulls=unlocked_hulls,
additional_parts=unlocked_parts,
consider_fleet_count=False)
if not (old_designs and new_designs):
# AI is likely defeated; don't bother with logging error message
continue
old_rating, old_pid, old_design_id, old_cost, old_stats = old_designs[
0]
old_design = fo.getShipDesign(old_design_id)
new_rating, new_pid, new_design_id, new_cost, new_stats = new_designs[
0]
new_design = fo.getShipDesign(new_design_id)
if new_rating > old_rating:
debug("Tech %s gives access to a better design!", tech)
debug("old best design: Rating %.5f", old_rating)
debug("old design specs: %s - %s", old_design.hull,
list(old_design.parts))
debug("new best design: Rating %.5f", new_rating)
debug("new design specs: %s - %s", new_design.hull,
list(new_design.parts))
else:
debug(
"Tech %s gives access to new parts or hulls but there seems to be no military advantage.",
tech)
def assess_protection_focus(pid):
"""Return True if planet should use Protection Focus"""
this_planet = planetMap[pid]
sys_status = foAI.foAIstate.systemStatus.get(this_planet.systemID, {})
threat_from_supply = (0.25 * foAI.foAIstate.empire_standard_enemy_rating *
min(2, len(sys_status.get('enemies_nearly_supplied', []))))
print "Planet %s has regional+supply threat of %.1f" % ('P_%d<%s>'%(pid, this_planet.name), threat_from_supply)
regional_threat = sys_status.get('regional_threat', 0) + threat_from_supply
if not regional_threat: # no need for protection
if currentFocus[pid] == PFocus:
print "Advising dropping Protection Focus at %s due to no regional threat" % this_planet
return False
cur_prod_val = weighted_sum_output([currentOutput[pid][IFocus], currentOutput[pid][RFocus]])
target_prod_val = max(map(weighted_sum_output, [newTargets[pid][IFocus], newTargets[pid][RFocus]]))
prot_prod_val = weighted_sum_output(newTargets[pid][PFocus])
local_production_diff = 0.8 * cur_prod_val + 0.2 * target_prod_val - prot_prod_val
fleet_threat = sys_status.get('fleetThreat', 0)
# TODO: relax the below rejection once the overall determination of PFocus is better tuned
if not fleet_threat and local_production_diff > 8:
if currentFocus[pid] == PFocus:
print "Advising dropping Protection Focus at %s due to excessive productivity loss" % this_planet
return False
local_p_defenses = sys_status.get('mydefenses', {}).get('overall',0)
# TODO have adjusted_p_defenses take other in-system planets into account
adjusted_p_defenses = local_p_defenses * (1.0 if currentFocus[pid] != PFocus else 0.5)
local_fleet_rating = sys_status.get('myFleetRating', 0)
combined_local_defenses = sys_status.get('all_local_defenses', 0)
my_neighbor_rating = sys_status.get('my_neighbor_rating', 0)
neighbor_threat = sys_status.get('neighborThreat', 0)
safety_factor = 1.2 if currentFocus[pid] == PFocus else 0.5
cur_shield = this_planet.currentMeterValue(fo.meterType.shield)
max_shield = this_planet.currentMeterValue(fo.meterType.maxShield)
cur_troops = this_planet.currentMeterValue(fo.meterType.troops)
max_troops = this_planet.currentMeterValue(fo.meterType.maxTroops)
cur_defense = this_planet.currentMeterValue(fo.meterType.defense)
max_defense = this_planet.currentMeterValue(fo.meterType.maxDefense)
def_meter_pairs = [(cur_troops, max_troops), (cur_shield, max_shield), (cur_defense, max_defense)]
use_protection = True
reason = ""
if (fleet_threat and # i.e., an enemy is sitting on us
(currentFocus[pid] != PFocus or # too late to start protection TODO: but maybe regen worth it
# protection forcus only useful here if it maintains an elevated level
all([AIDependencies.PROT_FOCUS_MULTIPLIER * a <= b for a,b in def_meter_pairs]))):
use_protection = False
reason = "A"
elif ((currentFocus[pid] != PFocus and cur_shield < max_shield - 2 and
not tech_is_complete(AIDependencies.PLANET_BARRIER_I_TECH)) and
(cur_defense < max_defense - 2 and not tech_is_complete(AIDependencies.DEFENSE_REGEN_1_TECH)) and
(cur_troops < max_troops - 2)):
use_protection = False
reason = "B1"
elif ((currentFocus[pid] == PFocus and cur_shield*AIDependencies.PROT_FOCUS_MULTIPLIER < max_shield-2 and
not tech_is_complete(AIDependencies.PLANET_BARRIER_I_TECH)) and
(cur_defense*AIDependencies.PROT_FOCUS_MULTIPLIER < max_defense-2 and
not tech_is_complete(AIDependencies.DEFENSE_REGEN_1_TECH)) and
(cur_troops*AIDependencies.PROT_FOCUS_MULTIPLIER < max_troops-2)):
use_protection = False
reason = "B2"
elif max(max_shield, max_troops, max_defense) < 3: # joke defenses, don't bother with protection focus
use_protection = False
reason = "C"
elif regional_threat and local_production_diff <= 2.0:
reason = "D"
pass # i.e., use_protection = True
elif safety_factor * regional_threat <= local_fleet_rating:
use_protection = False
reason = "E"
elif (safety_factor * regional_threat <= combined_local_defenses and
(currentFocus[pid] != PFocus or
(0.5 * safety_factor * regional_threat <= local_fleet_rating and
fleet_threat == 0 and neighbor_threat < combined_local_defenses and
local_production_diff > 5))):
use_protection = False
reason = "F"
elif (regional_threat <= FleetUtilsAI.combine_ratings(local_fleet_rating, adjusted_p_defenses) and
safety_factor * regional_threat <=
FleetUtilsAI.combine_ratings_list([my_neighbor_rating, local_fleet_rating, adjusted_p_defenses]) and
local_production_diff > 5):
use_protection = False
reason = "G"
if use_protection or currentFocus[pid] == PFocus:
print ("Advising %sProtection Focus (reason %s) for planet %s, with local_prod_diff of %.1f, comb. local"
" defenses %.1f, local fleet rating %.1f and regional threat %.1f, threat sources: %s") % (
["dropping ", ""][use_protection], reason, this_planet, local_production_diff, combined_local_defenses,
local_fleet_rating, regional_threat, sys_status['regional_fleet_threats'])
return use_protection
def set_planet_industry_and_research_foci(focus_manager, priority_ratio):
"""Adjust planet's industry versus research focus while targeting the given ratio and
avoiding penalties from changing focus."""
print "\n-----------------------------------------"
print "Making Planet Focus Change Determinations\n"
ratios = []
# for each planet, calculate RP:PP value ratio at which industry focus and
# research focus would have the same total value, & sort by that include a
# bias to slightly discourage changing foci
target_pp = 0.001
target_rp = 0.001
resource_timer.start("Loop") # loop
has_force = tech_is_complete("CON_FRC_ENRG_STRC")
# cumulative all industry focus
cumulative_pp, cumulative_rp = 0, 0
# Handle presets which only have possible output for preset focus
for pid, info in focus_manager.baked_planet_info.items():
future_pp, future_rp = info.possible_output[info.future_focus]
target_pp += future_pp
target_rp += future_rp
cumulative_pp += future_pp
cumulative_rp += future_rp
# tally max Industry
for pid, info in focus_manager.raw_planet_info.items():
i_pp, i_rp = info.possible_output[INDUSTRY]
cumulative_pp += i_pp
cumulative_rp += i_rp
if RESEARCH not in info.planet.availableFoci:
focus_manager.bake_future_focus(pid, info.current_focus, False)
# smallest possible ratio of research to industry with an all industry focus
maxi_ratio = cumulative_rp / max(0.01, cumulative_pp)
for adj_round in [2, 3, 4]:
for pid, info in focus_manager.raw_planet_info.items():
ii, tr = info.possible_output[INDUSTRY]
ri, rr = info.possible_output[RESEARCH]
ci, cr = info.current_output
research_penalty = (info.current_focus != RESEARCH)
# calculate factor F at which ii + F * tr == ri + F * rr =====> F = ( ii-ri ) / (rr-tr)
factor = (ii - ri) / max(
0.01, rr - tr
) # don't let denominator be zero for planets where focus doesn't change RP
planet = info.planet
if adj_round == 2: # take research at planets with very cheap research
if (maxi_ratio < priority_ratio) and (
target_rp <
priority_ratio * cumulative_pp) and (factor <= 1.0):
target_pp += ri
target_rp += rr
focus_manager.bake_future_focus(pid, RESEARCH, False)
continue
if adj_round == 3: # take research at planets where can do reasonable balance
if has_force or foAI.foAIstate.character.may_dither_focus_to_gain_research(
) or (target_rp >= priority_ratio * cumulative_pp):
continue
pop = planet.currentMeterValue(fo.meterType.population)
t_pop = planet.currentMeterValue(fo.meterType.targetPopulation)
# if AI is aggressive+, and this planet in range where temporary Research focus can get an additional RP at cost of 1 PP, and still need some RP, then do it
if pop < t_pop - 5:
continue
if (ci > ii + 8) or (((rr > ii) or
((rr - cr) >= 1 + 2 * research_penalty))
and ((rr - tr) >= 3) and
((cr - tr) >= 0.7 *
((ii - ci) *
(1 + 0.1 * research_penalty)))):
target_pp += ci - 1 - research_penalty
target_rp += cr + 1
focus_manager.bake_future_focus(pid, RESEARCH, False)
continue
if adj_round == 4: # assume default IFocus
target_pp += ii # icurTargets initially calculated by Industry focus, which will be our default focus
target_rp += tr
ratios.append((factor, pid, info))
ratios.sort()
printed_header = False
got_algo = tech_is_complete("LRN_ALGO_ELEGANCE")
for ratio, pid, info in ratios:
if priority_ratio < (target_rp /
(target_pp + 0.0001)): # we have enough RP
if ratio < 1.1 and foAI.foAIstate.character.may_research_heavily(
): # but wait, RP is still super cheap relative to PP, maybe will take more RP
if priority_ratio < 1.5 * (
target_rp / (target_pp + 0.0001)
): # yeah, really a glut of RP, stop taking RP
break
else: # RP not super cheap & we have enough, stop taking it
break
ii, tr = info.possible_output[INDUSTRY]
ri, rr = info.possible_output[RESEARCH]
# if focus_manager.current_focus[pid] == MFocus:
# ii = max( ii, focus_manager.possible_output[MFocus][0] )
if (
(ratio > 2.0 and target_pp < 15 and got_algo)
or (ratio > 2.5 and target_pp < 25 and ii > 5 and got_algo)
or (ratio > 3.0 and target_pp < 40 and ii > 5 and got_algo)
or (ratio > 4.0 and target_pp < 100 and ii > 10)
or ((target_rp + rr - tr) / max(0.001, target_pp - ii + ri) >
2 * priority_ratio)
): # we already have algo elegance and more RP would be too expensive, or overkill
if not printed_header:
printed_header = True
print "Rejecting further Research Focus choices as too expensive:"
print "%34s|%20s|%15s |%15s|%15s |%15s |%15s" % (
" Planet ", " current RP/PP ",
" current target RP/PP ", "current Focus ",
" rejectedFocus ", " rejected target RP/PP ",
"rejected RP-PP EQF")
old_focus = info.current_focus
c_pp, c_rp = info.current_output
ot_pp, ot_rp = info.possible_output[old_focus]
nt_pp, nt_rp = info.possible_output[RESEARCH]
print "pID (%3d) %22s | c: %5.1f / %5.1f | cT: %5.1f / %5.1f | cF: %8s | nF: %8s | cT: %5.1f / %5.1f | %.2f" % (
pid, info.planet.name, c_rp, c_pp, ot_rp, ot_pp,
_focus_names.get(old_focus, 'unknown'), _focus_names[RESEARCH],
nt_rp, nt_pp, ratio)
continue # RP is getting too expensive, but might be willing to still allocate from a planet with less PP to lose
# if focus_manager.planet_map[pid].currentMeterValue(fo.meterType.targetPopulation) >0: #only set to research if pop won't die out
focus_manager.bake_future_focus(pid, RESEARCH, False)
target_rp += (rr - tr)
target_pp -= (ii - ri)
# Any planet in the ratios list and still raw is set to industry
for ratio, pid, info in ratios:
if pid in focus_manager.raw_planet_info:
focus_manager.bake_future_focus(pid, INDUSTRY, False)
def _calculate_planet_colonization_rating(
planet_id: PlanetId,
mission_type: MissionType,
species_name: SpeciesName,
detail: list,
empire_research_list: Sequence,
) -> float:
empire = fo.getEmpire()
retval = 0
character = get_aistate().character
discount_multiplier = character.preferred_discount_multiplier([30.0, 40.0])
species = fo.getSpecies(species_name)
species_foci = [] and species and list(species.foci)
tag_list = list(species.tags) if species else []
pilot_val = pilot_rating = 0
if species and species.canProduceShips:
pilot_val = pilot_rating = rate_piloting_tag(species_name)
if pilot_val > best_pilot_rating():
pilot_val *= 2
if pilot_val > 2:
retval += discount_multiplier * 5 * pilot_val
detail.append("Pilot Val %.1f" %
(discount_multiplier * 5 * pilot_val))
if empire.productionPoints < 100:
backup_factor = 0.0
else:
backup_factor = min(1.0, (empire.productionPoints / 200.0)**2)
universe = fo.getUniverse()
capital_id = PlanetUtilsAI.get_capital()
homeworld = universe.getPlanet(capital_id)
planet = universe.getPlanet(planet_id)
prospective_invasion_targets = [
pid for pid, pscore, trp in
AIstate.invasionTargets[:PriorityAI.allotted_invasion_targets()]
if pscore > InvasionAI.MIN_INVASION_SCORE
]
if species_name != planet.speciesName and planet.speciesName and mission_type != MissionType.INVASION:
return 0
this_sysid = planet.systemID
if homeworld:
home_system_id = homeworld.systemID
eval_system_id = this_sysid
if home_system_id != INVALID_ID and eval_system_id != INVALID_ID:
least_jumps = universe.jumpDistance(home_system_id, eval_system_id)
if least_jumps == -1: # indicates no known path
return 0.0
if planet is None:
vis_map = universe.getVisibilityTurnsMap(planet_id, empire.empireID)
debug("Planet %d object not available; visMap: %s" %
(planet_id, vis_map))
return 0
# only count existing presence if not target planet
# TODO: consider neighboring sytems for smaller contribution, and bigger contributions for
# local colonies versus local outposts
locally_owned_planets = [
lpid for lpid in get_owned_planets_in_system(this_sysid)
if lpid != planet_id
]
planets_with_species = get_inhabited_planets()
locally_owned_pop_ctrs = [
lpid for lpid in locally_owned_planets if lpid in planets_with_species
]
# triple count pop_ctrs
existing_presence = len(
locally_owned_planets) + 2 * len(locally_owned_pop_ctrs)
system = universe.getSystem(this_sysid)
sys_supply = get_system_supply(this_sysid)
planet_supply = AIDependencies.supply_by_size.get(planet.size, 0)
bld_types = set(
universe.getBuilding(bldg).buildingTypeName
for bldg in planet.buildingIDs).intersection(
AIDependencies.building_supply)
planet_supply += sum(
AIDependencies.building_supply[bld_type].get(int(psize), 0)
for psize in [-1, planet.size] for bld_type in bld_types)
supply_specials = set(planet.specials).union(system.specials).intersection(
AIDependencies.SUPPLY_MOD_SPECIALS)
planet_supply += sum(
AIDependencies.SUPPLY_MOD_SPECIALS[_special].get(int(psize), 0)
for _special in supply_specials for psize in [-1, planet.size])
ind_tag_mod = AIDependencies.SPECIES_INDUSTRY_MODIFIER.get(
get_species_tag_grade(species_name, Tags.INDUSTRY), 1.0)
res_tag_mod = AIDependencies.SPECIES_RESEARCH_MODIFIER.get(
get_species_tag_grade(species_name, Tags.RESEARCH), 1.0)
if species:
supply_tag_mod = AIDependencies.SPECIES_SUPPLY_MODIFIER.get(
get_species_tag_grade(species_name, Tags.SUPPLY), 1)
else:
supply_tag_mod = 0
# determine the potential supply provided by owning this planet, and if the planet is currently populated by
# the evaluated species, then save this supply value in a cache.
# The system supply value can be negative (indicates the respective number of starlane jumps to the closest supplied
# system). So if this total planet supply value is non-negative, then the planet would be supply connected (to at
# least a portion of the existing empire) if the planet becomes owned by the AI.
planet_supply += supply_tag_mod
planet_supply = max(planet_supply, 0) # planets can't have negative supply
if planet.speciesName == species_name:
update_planet_supply(planet_id, planet_supply + sys_supply)
threat_factor = _determine_colony_threat_factor(planet_id, species_name,
existing_presence)
sys_partial_vis_turn = get_partial_visibility_turn(this_sysid)
planet_partial_vis_turn = get_partial_visibility_turn(planet_id)
if planet_partial_vis_turn < sys_partial_vis_turn:
# last time we had partial vis of the system, the planet was stealthed to us
# print "Colonization AI couldn't get current info on planet id %d (was stealthed at last sighting)" % planet_id
return 0 # TODO: track detection strength, order new scouting when it goes up
star_bonus = 0
colony_star_bonus = 0
research_bonus = 0
growth_val = 0
fixed_ind = 0
fixed_res = 0
if system:
already_got_this_one = this_sysid in get_owned_planets()
# TODO: Should probably consider pilot rating also for Phototropic species
if "PHOTOTROPHIC" not in tag_list and pilot_rating >= best_pilot_rating(
):
if system.starType == fo.starType.red and tech_is_complete(
"LRN_STELLAR_TOMOGRAPHY"):
star_bonus += 40 * discount_multiplier # can be used for artif'l black hole and solar hull
detail.append(
"Red Star for Art Black Hole for solar hull %.1f" %
(40 * discount_multiplier))
elif system.starType == fo.starType.blackHole and tech_is_complete(
"SHP_FRC_ENRG_COMP"):
star_bonus += 100 * discount_multiplier # can be used for solar hull
detail.append("Black Hole for solar hull %.1f" %
(100 * discount_multiplier))
if tech_is_complete("PRO_SOL_ORB_GEN"
) or "PRO_SOL_ORB_GEN" in empire_research_list[:5]:
if system.starType in [fo.starType.blue, fo.starType.white]:
if not has_claimed_star(fo.starType.blue, fo.starType.white):
star_bonus += 20 * discount_multiplier
detail.append("PRO_SOL_ORB_GEN BW %.1f" %
(20 * discount_multiplier))
elif not already_got_this_one:
# still has extra value as an alternate location for solar generators
star_bonus += 10 * discount_multiplier * backup_factor
detail.append("PRO_SOL_ORB_GEN BW Backup Location %.1f" %
(10 * discount_multiplier * backup_factor))
elif fo.currentTurn() > 100: # lock up this whole system
pass
# starBonus += 5 # TODO: how much?
# detail.append("PRO_SOL_ORB_GEN BW LockingDownSystem %.1f"%5)
if system.starType in [fo.starType.yellow, fo.starType.orange]:
if not has_claimed_star(fo.starType.blue, fo.starType.white,
fo.starType.yellow,
fo.starType.orange):
star_bonus += 10 * discount_multiplier
detail.append("PRO_SOL_ORB_GEN YO %.1f" %
(10 * discount_multiplier))
else:
pass
# starBonus +=2 # still has extra value as an alternate location for solar generators
# detail.append("PRO_SOL_ORB_GEN YO Backup %.1f" % 2)
if system.starType in [fo.starType.blackHole
] and fo.currentTurn() > 100:
if not already_got_this_one:
# whether have tech yet or not, assign some base value
star_bonus += 10 * discount_multiplier * backup_factor
detail.append("Black Hole %.1f" %
(10 * discount_multiplier * backup_factor))
else:
star_bonus += 5 * discount_multiplier * backup_factor
detail.append("Black Hole Backup %.1f" %
(5 * discount_multiplier * backup_factor))
if tech_is_complete(AIDependencies.PRO_SOL_ORB_GEN
): # start valuing as soon as PRO_SOL_ORB_GEN done
if system.starType == fo.starType.blackHole:
# pretty rare planets, good for generator
this_val = 0.5 * max(population_with_industry_focus(),
20) * discount_multiplier
if not has_claimed_star(fo.starType.blackHole):
star_bonus += this_val
detail.append("PRO_SINGULAR_GEN %.1f" % this_val)
elif not is_system_star_claimed(system):
# still has extra value as an alternate location for generators & for blocking enemies generators
star_bonus += this_val * backup_factor
detail.append("PRO_SINGULAR_GEN Backup %.1f" %
(this_val * backup_factor))
elif system.starType == fo.starType.red and not has_claimed_star(
fo.starType.blackHole):
rfactor = (1.0 + count_claimed_stars(fo.starType.red))**-2
star_bonus += 40 * discount_multiplier * backup_factor * rfactor # can be used for artif'l black hole
detail.append(
"Red Star for Art Black Hole %.1f" %
(40 * discount_multiplier * backup_factor * rfactor))
if tech_is_complete(
"PRO_NEUTRONIUM_EXTRACTION"
) or "PRO_NEUTRONIUM_EXTRACTION" in empire_research_list[:8]:
if system.starType in [fo.starType.neutron]:
if not has_claimed_star(fo.starType.neutron):
star_bonus += 80 * discount_multiplier # pretty rare planets, good for armor
detail.append("PRO_NEUTRONIUM_EXTRACTION %.1f" %
(80 * discount_multiplier))
else:
# still has extra value as an alternate location for generators & for bnlocking enemies generators
star_bonus += 20 * discount_multiplier * backup_factor
detail.append("PRO_NEUTRONIUM_EXTRACTION Backup %.1f" %
(20 * discount_multiplier * backup_factor))
if tech_is_complete(
"SHP_ENRG_BOUND_MAN"
) or "SHP_ENRG_BOUND_MAN" in empire_research_list[:6]:
# TODO: base this on pilot val, and also consider red stars
if system.starType in [fo.starType.blackHole, fo.starType.blue]:
init_val = 100 * discount_multiplier * (pilot_val or 1)
if not has_claimed_star(fo.starType.blackHole,
fo.starType.blue):
colony_star_bonus += init_val # pretty rare planets, good for energy shipyards
detail.append("SHP_ENRG_BOUND_MAN %.1f" % init_val)
elif not is_system_star_claimed(system):
# still has extra value as an alternate location for energy shipyard
colony_star_bonus += 0.5 * init_val * backup_factor
detail.append("SHP_ENRG_BOUND_MAN Backup %.1f" %
(0.5 * init_val * backup_factor))
retval += star_bonus
planet_specials = list(planet.specials)
if "ECCENTRIC_ORBIT_SPECIAL" in planet.specials:
fixed_res += discount_multiplier * 6
detail.append("ECCENTRIC_ORBIT_SPECIAL %.1f" %
(discount_multiplier * 6))
if mission_type == MissionType.OUTPOST or (
mission_type == MissionType.INVASION and not species_name):
if "ANCIENT_RUINS_SPECIAL" in planet.specials: # TODO: add value for depleted ancient ruins
retval += discount_multiplier * 30
detail.append("Undepleted Ruins %.1f" % discount_multiplier * 30)
for special in planet_specials:
if "_NEST_" in special:
nest_val = get_nest_rating(
special, 5.0
) * discount_multiplier # get an outpost on the nest quick
retval += nest_val
detail.append("%s %.1f" % (special, nest_val))
elif special == "FORTRESS_SPECIAL":
fort_val = 10 * discount_multiplier
retval += fort_val
detail.append("%s %.1f" % (special, fort_val))
elif special == "HONEYCOMB_SPECIAL":
honey_val = 0.3 * (AIDependencies.HONEYCOMB_IND_MULTIPLIER *
AIDependencies.INDUSTRY_PER_POP *
population_with_industry_focus() *
discount_multiplier)
retval += honey_val
detail.append("%s %.1f" % (special, honey_val))
if planet.size == fo.planetSize.asteroids:
ast_val = 0
if system:
for pid in system.planetIDs:
other_planet = universe.getPlanet(pid)
if other_planet.size == fo.planetSize.asteroids:
if pid == planet_id:
continue
elif pid < planet_id and planet.unowned:
ast_val = 0
break
elif other_planet.speciesName:
if other_planet.owner == empire.empireID:
ownership_factor = 1.0
elif pid in prospective_invasion_targets:
ownership_factor = character.secondary_valuation_factor_for_invasion_targets(
)
else:
ownership_factor = 0.0
ast_val += ownership_factor * _base_asteroid_mining_val(
) * discount_multiplier
retval += ast_val
if ast_val > 0:
detail.append("AsteroidMining %.1f" % ast_val)
ast_val = 0
if tech_is_complete("SHP_ASTEROID_HULLS"):
per_ast = 20
elif tech_is_complete("CON_ORBITAL_CON"):
per_ast = 5
else:
per_ast = 0.1
if system:
for pid in system.planetIDs:
other_planet = universe.getPlanet(pid)
if other_planet.size == fo.planetSize.asteroids:
if pid == planet_id:
continue
elif pid < planet_id and planet.unowned:
ast_val = 0
break
elif other_planet.speciesName:
other_species = fo.getSpecies(other_planet.speciesName)
if other_species and other_species.canProduceShips:
if other_planet.owner == empire.empireID:
ownership_factor = 1.0
elif pid in prospective_invasion_targets:
ownership_factor = character.secondary_valuation_factor_for_invasion_targets(
)
else:
ownership_factor = 0.0
ast_val += ownership_factor * per_ast * discount_multiplier
retval += ast_val
if ast_val > 0:
detail.append("AsteroidShipBuilding %.1f" % ast_val)
# We will assume that if any GG in the system is populated, they all will wind up populated; cannot then hope
# to build a GGG on a non-populated GG
populated_gg_factor = 1.0
per_gg = 0
if planet.size == fo.planetSize.gasGiant:
# TODO: Given current industry calc approach, consider bringing this max val down to actual max val of 10
if tech_is_complete("PRO_ORBITAL_GEN"):
per_gg = 20
elif tech_is_complete("CON_ORBITAL_CON"):
per_gg = 10
if species_name:
populated_gg_factor = 0.5
else:
per_gg = 5
if system:
gg_list = []
orb_gen_val = 0
gg_detail = []
for pid in system.planetIDs:
other_planet = universe.getPlanet(pid)
if other_planet.size == fo.planetSize.gasGiant:
gg_list.append(pid)
if other_planet.speciesName:
populated_gg_factor = 0.5
if (pid != planet_id and other_planet.owner == empire.empireID
and FocusType.FOCUS_INDUSTRY
in list(other_planet.availableFoci) +
[other_planet.focus]):
orb_gen_val += per_gg * discount_multiplier
# Note, this reported value may not take into account a later adjustment from a populated gg
gg_detail.append("GGG for %s %.1f" %
(other_planet.name, discount_multiplier *
per_gg * populated_gg_factor))
if planet_id in sorted(gg_list)[:1]:
retval += orb_gen_val * populated_gg_factor
detail.extend(gg_detail)
else:
detail.append("Won't GGG")
if existing_presence:
detail.append("preexisting system colony")
retval = (retval + existing_presence *
_get_defense_value(species_name)) * 1.5
# Fixme - sys_supply is always <= 0 leading to incorrect supply bonus score
supply_val = 0
if sys_supply < 0:
if sys_supply + planet_supply >= 0:
supply_val += 30 * (planet_supply - max(-3, sys_supply))
else:
retval += 30 * (planet_supply + sys_supply) # a penalty
elif planet_supply > sys_supply and (
sys_supply < 2): # TODO: check min neighbor supply
supply_val += 25 * (planet_supply - sys_supply)
detail.append("sys_supply: %d, planet_supply: %d, supply_val: %.0f" %
(sys_supply, planet_supply, supply_val))
retval += supply_val
if threat_factor < 1.0:
threat_factor = _revise_threat_factor(threat_factor, retval,
this_sysid,
MINIMUM_COLONY_SCORE)
retval *= threat_factor
detail.append("threat reducing value by %3d %%" %
(100 * (1 - threat_factor)))
return int(retval)
else: # colonization mission
if not species:
return 0
supply_val = 0
if "ANCIENT_RUINS_SPECIAL" in planet.specials:
retval += discount_multiplier * 50
detail.append("Undepleted Ruins %.1f" % discount_multiplier * 50)
if "HONEYCOMB_SPECIAL" in planet.specials:
honey_val = (AIDependencies.HONEYCOMB_IND_MULTIPLIER *
AIDependencies.INDUSTRY_PER_POP *
population_with_industry_focus() *
discount_multiplier)
if FocusType.FOCUS_INDUSTRY not in species_foci:
honey_val *= -0.3 # discourage settlement by colonizers not able to use Industry Focus
retval += honey_val
detail.append("%s %.1f" % ("HONEYCOMB_SPECIAL", honey_val))
# Fixme - sys_supply is always <= 0 leading to incorrect supply bonus score
if sys_supply <= 0:
if sys_supply + planet_supply >= 0:
supply_val = 40 * (planet_supply - max(-3, sys_supply))
else:
supply_val = 200 * (planet_supply + sys_supply) # a penalty
if species_name == "SP_SLY":
# Sly are essentially stuck with lousy supply, so don't penalize for that
supply_val = 0
elif planet_supply > sys_supply == 1: # TODO: check min neighbor supply
supply_val = 20 * (planet_supply - sys_supply)
detail.append("sys_supply: %d, planet_supply: %d, supply_val: %.0f" %
(sys_supply, planet_supply, supply_val))
# if AITags != "":
# print "Species %s has AITags %s"%(specName, AITags)
retval += fixed_res
retval += colony_star_bonus
asteroid_bonus = 0
gas_giant_bonus = 0
flat_industry = 0
mining_bonus = 0
per_ggg = 10
asteroid_factor = 0.0
gg_factor = 0.0
ast_shipyard_name = ""
if system and FocusType.FOCUS_INDUSTRY in species.foci:
for pid in system.planetIDs:
if pid == planet_id:
continue
p2 = universe.getPlanet(pid)
if p2:
if p2.size == fo.planetSize.asteroids:
this_factor = 0.0
if p2.owner == empire.empireID:
this_factor = 1.0
elif p2.unowned:
this_factor = 0.5
elif pid in prospective_invasion_targets:
this_factor = character.secondary_valuation_factor_for_invasion_targets(
)
if this_factor > asteroid_factor:
asteroid_factor = this_factor
ast_shipyard_name = p2.name
if p2.size == fo.planetSize.gasGiant:
if p2.owner == empire.empireID:
gg_factor = max(gg_factor, 1.0)
elif p2.unowned:
gg_factor = max(gg_factor, 0.5)
elif pid in prospective_invasion_targets:
gg_factor = max(
gg_factor,
character.
secondary_valuation_factor_for_invasion_targets(
))
if asteroid_factor > 0.0:
if tech_is_complete(
"PRO_MICROGRAV_MAN"
) or "PRO_MICROGRAV_MAN" in empire_research_list[:10]:
flat_industry += 2 * asteroid_factor # will go into detailed industry projection
detail.append("Asteroid mining ~ %.1f" %
(5 * asteroid_factor * discount_multiplier))
if tech_is_complete(
"SHP_ASTEROID_HULLS"
) or "SHP_ASTEROID_HULLS" in empire_research_list[:11]:
if species and species.canProduceShips:
asteroid_bonus = 30 * discount_multiplier * pilot_val
detail.append("Asteroid ShipBuilding from %s %.1f" %
(ast_shipyard_name,
discount_multiplier * 30 * pilot_val))
if gg_factor > 0.0:
if tech_is_complete(
"PRO_ORBITAL_GEN"
) or "PRO_ORBITAL_GEN" in empire_research_list[:5]:
flat_industry += per_ggg * gg_factor # will go into detailed industry projection
detail.append("GGG ~ %.1f" %
(per_ggg * gg_factor * discount_multiplier))
# calculate the maximum population of the species on that planet.
if planet.speciesName not in AIDependencies.SPECIES_FIXED_POPULATION:
max_pop_size = calc_max_pop(planet, species, detail)
else:
max_pop_size = AIDependencies.SPECIES_FIXED_POPULATION[
planet.speciesName]
detail.append("Fixed max population of %.2f" % max_pop_size)
if max_pop_size <= 0:
detail.append(
"Non-positive population projection for species '%s', so no colonization value"
% (species and species.name))
return 0
for special in [
"MINERALS_SPECIAL", "CRYSTALS_SPECIAL", "ELERIUM_SPECIAL"
]:
if special in planet_specials:
mining_bonus += 1
has_blackhole = has_claimed_star(fo.starType.blackHole)
ind_tech_map_flat = AIDependencies.INDUSTRY_EFFECTS_FLAT_NOT_MODIFIED_BY_SPECIES
ind_tech_map_before_species_mod = AIDependencies.INDUSTRY_EFFECTS_PER_POP_MODIFIED_BY_SPECIES
ind_tech_map_after_species_mod = AIDependencies.INDUSTRY_EFFECTS_PER_POP_NOT_MODIFIED_BY_SPECIES
ind_mult = 1
for tech in ind_tech_map_before_species_mod:
if tech_is_complete(tech) and (
tech != AIDependencies.PRO_SINGULAR_GEN or has_blackhole):
ind_mult += ind_tech_map_before_species_mod[tech]
ind_mult = ind_mult * max(
ind_tag_mod, 0.5 *
(ind_tag_mod +
res_tag_mod)) # TODO: report an actual calc for research value
for tech in ind_tech_map_after_species_mod:
if tech_is_complete(tech) and (
tech != AIDependencies.PRO_SINGULAR_GEN or has_blackhole):
ind_mult += ind_tech_map_after_species_mod[tech]
max_ind_factor = 0
for tech in ind_tech_map_flat:
if tech_is_complete(tech):
fixed_ind += discount_multiplier * ind_tech_map_flat[tech]
if FocusType.FOCUS_INDUSTRY in species.foci:
if "TIDAL_LOCK_SPECIAL" in planet.specials:
ind_mult += 1
max_ind_factor += AIDependencies.INDUSTRY_PER_POP * mining_bonus
max_ind_factor += AIDependencies.INDUSTRY_PER_POP * ind_mult
cur_pop = 1.0 # assume an initial colonization value
if planet.speciesName != "":
cur_pop = planet.currentMeterValue(fo.meterType.population)
elif tech_is_complete("GRO_LIFECYCLE_MAN"):
cur_pop = 3.0
cur_industry = planet.currentMeterValue(fo.meterType.industry)
ind_val = _project_ind_val(cur_pop, max_pop_size, cur_industry,
max_ind_factor, flat_industry,
discount_multiplier)
detail.append("ind_val %.1f" % ind_val)
# used to give preference to closest worlds
for special in [
spec for spec in planet_specials
if spec in AIDependencies.metabolismBoosts
]:
# TODO: also consider potential future benefit re currently unpopulated planets
gbonus = (discount_multiplier * AIDependencies.INDUSTRY_PER_POP *
ind_mult * empire_metabolisms.get(
AIDependencies.metabolismBoosts[special], 0)
) # due to growth applicability to other planets
growth_val += gbonus
detail.append("Bonus for %s: %.1f" % (special, gbonus))
if FocusType.FOCUS_RESEARCH in species.foci:
research_bonus += discount_multiplier * 2 * AIDependencies.RESEARCH_PER_POP * max_pop_size
if "ANCIENT_RUINS_SPECIAL" in planet.specials or "ANCIENT_RUINS_DEPLETED_SPECIAL" in planet.specials:
research_bonus += discount_multiplier * 2 * AIDependencies.RESEARCH_PER_POP * max_pop_size * 5
detail.append("Ruins Research")
if "TEMPORAL_ANOMALY_SPECIAL" in planet.specials:
research_bonus += discount_multiplier * 2 * AIDependencies.RESEARCH_PER_POP * max_pop_size * 25
detail.append("Temporal Anomaly Research")
if AIDependencies.COMPUTRONIUM_SPECIAL in planet.specials:
comp_bonus = (0.5 * AIDependencies.TECH_COST_MULTIPLIER *
AIDependencies.RESEARCH_PER_POP *
AIDependencies.COMPUTRONIUM_RES_MULTIPLIER *
population_with_research_focus() *
discount_multiplier)
if have_computronium():
comp_bonus *= backup_factor
research_bonus += comp_bonus
detail.append(AIDependencies.COMPUTRONIUM_SPECIAL)
retval += (max(ind_val + asteroid_bonus + gas_giant_bonus,
research_bonus, growth_val) + fixed_ind + fixed_res +
supply_val)
if existing_presence:
detail.append("preexisting system colony")
retval = (retval +
existing_presence * _get_defense_value(species_name)) * 2
if threat_factor < 1.0:
threat_factor = _revise_threat_factor(threat_factor, retval,
this_sysid,
MINIMUM_COLONY_SCORE)
retval *= threat_factor
detail.append("threat reducing value by %3d %%" %
(100 * (1 - threat_factor)))
return retval
def evaluate_invasion_planet(planet_id):
"""Return the invasion value (score, troops) of a planet."""
universe = fo.getUniverse()
empire_id = fo.empireID()
detail = []
planet = universe.getPlanet(planet_id)
if planet is None:
debug("Invasion AI couldn't access any info for planet id %d" %
planet_id)
return [0, 0]
system_id = planet.systemID
# by using the following instead of simply relying on stealth meter reading,
# can (sometimes) plan ahead even if planet is temporarily shrouded by an ion storm
predicted_detectable = EspionageAI.colony_detectable_by_empire(
planet_id, empire=fo.empireID(), default_result=False)
if not predicted_detectable:
if get_partial_visibility_turn(planet_id) < fo.currentTurn():
debug("InvasionAI predicts planet id %d to be stealthed" %
planet_id)
return [0, 0]
else:
debug(
"InvasionAI predicts planet id %d to be stealthed" %
planet_id +
", but somehow have current visibility anyway, will still consider as target"
)
# Check if the target planet was extra-stealthed somehow its system was last viewed
# this test below may augment the tests above,
# but can be thrown off by temporary combat-related sighting
system_last_seen = get_partial_visibility_turn(planet_id)
planet_last_seen = get_partial_visibility_turn(system_id)
if planet_last_seen < system_last_seen:
# TODO: track detection strength, order new scouting when it goes up
debug(
"Invasion AI considering planet id %d (stealthed at last view), still proceeding."
% planet_id)
# get a baseline evaluation of the planet as determined by ColonisationAI
species_name = planet.speciesName
species = fo.getSpecies(species_name)
empire_research_list = tuple(element.tech
for element in fo.getEmpire().researchQueue)
if not species or AIDependencies.TAG_DESTROYED_ON_CONQUEST in species.tags:
# this call iterates over this Empire's available species with which it could colonize after an invasion
planet_eval = ColonisationAI.assign_colonisation_values(
[planet_id], MissionType.INVASION, None, detail)
colony_base_value = max(
0.75 * planet_eval.get(planet_id, [0])[0],
calculate_planet_colonization_rating.
calculate_planet_colonization_rating(
planet_id=planet_id,
mission_type=MissionType.OUTPOST,
spec_name=None,
detail=detail,
empire_research_list=empire_research_list,
),
)
else:
colony_base_value = calculate_planet_colonization_rating.calculate_planet_colonization_rating(
planet_id=planet_id,
mission_type=MissionType.INVASION,
spec_name=species_name,
detail=detail,
empire_research_list=empire_research_list,
)
# Add extra score for all buildings on the planet
building_values = {
"BLD_IMPERIAL_PALACE": 1000,
"BLD_CULTURE_ARCHIVES": 1000,
"BLD_AUTO_HISTORY_ANALYSER": 100,
"BLD_SHIPYARD_BASE": 100,
"BLD_SHIPYARD_ORG_ORB_INC": 200,
"BLD_SHIPYARD_ORG_XENO_FAC": 200,
"BLD_SHIPYARD_ORG_CELL_GRO_CHAMB": 200,
"BLD_SHIPYARD_CON_NANOROBO": 300,
"BLD_SHIPYARD_CON_GEOINT": 400,
"BLD_SHIPYARD_CON_ADV_ENGINE": 1000,
"BLD_SHIPYARD_AST": 300,
"BLD_SHIPYARD_AST_REF": 1000,
"BLD_SHIPYARD_ENRG_SOLAR": 1500,
"BLD_INDUSTRY_CENTER": 500,
"BLD_GAS_GIANT_GEN": 200,
"BLD_SOL_ORB_GEN": 800,
"BLD_BLACK_HOLE_POW_GEN": 2000,
"BLD_ENCLAVE_VOID": 500,
"BLD_NEUTRONIUM_EXTRACTOR": 2000,
"BLD_NEUTRONIUM_SYNTH": 2000,
"BLD_NEUTRONIUM_FORGE": 1000,
"BLD_CONC_CAMP": 100,
"BLD_BIOTERROR_PROJECTOR": 1000,
"BLD_SHIPYARD_ENRG_COMP": 3000,
}
bld_tally = 0
for bldType in [
universe.getBuilding(bldg).buildingTypeName
for bldg in planet.buildingIDs
]:
bval = building_values.get(bldType, 50)
bld_tally += bval
detail.append("%s: %d" % (bldType, bval))
# Add extra score for unlocked techs when we conquer the species
tech_tally = 0
value_per_pp = 4
for unlocked_tech in AIDependencies.SPECIES_TECH_UNLOCKS.get(
species_name, []):
if not tech_is_complete(unlocked_tech):
rp_cost = fo.getTech(unlocked_tech).researchCost(empire_id)
tech_value = value_per_pp * rp_cost
tech_tally += tech_value
detail.append("%s: %d" % (unlocked_tech, tech_value))
least_jumps_path, max_jumps = _get_path_from_capital(planet)
clear_path = True
aistate = get_aistate()
system_status = aistate.systemStatus.get(system_id, {})
system_fleet_treat = system_status.get("fleetThreat", 1000)
system_monster_threat = system_status.get("monsterThreat", 0)
sys_total_threat = system_fleet_treat + system_monster_threat + system_status.get(
"planetThreat", 0)
max_path_threat = system_fleet_treat
mil_ship_rating = MilitaryAI.cur_best_mil_ship_rating()
for path_sys_id in least_jumps_path:
path_leg_status = aistate.systemStatus.get(path_sys_id, {})
path_leg_threat = path_leg_status.get(
"fleetThreat", 1000) + path_leg_status.get("monsterThreat", 0)
if path_leg_threat > 0.5 * mil_ship_rating:
clear_path = False
if path_leg_threat > max_path_threat:
max_path_threat = path_leg_threat
pop = planet.currentMeterValue(fo.meterType.population)
target_pop = planet.currentMeterValue(fo.meterType.targetPopulation)
troops = planet.currentMeterValue(fo.meterType.troops)
troop_regen = planet.currentMeterValue(
fo.meterType.troops) - planet.initialMeterValue(fo.meterType.troops)
max_troops = planet.currentMeterValue(fo.meterType.maxTroops)
# TODO: refactor troop determination into function for use in mid-mission updates and also consider defender techs
max_troops += AIDependencies.TROOPS_PER_POP * (target_pop - pop)
this_system = universe.getSystem(system_id)
secure_targets = [system_id] + list(this_system.planetIDs)
system_secured = False
secure_fleets = get_aistate().get_fleet_missions_with_any_mission_types(
[MissionType.SECURE, MissionType.MILITARY])
for mission in secure_fleets:
secure_fleet_id = mission.fleet.id
s_fleet = universe.getFleet(secure_fleet_id)
if not s_fleet or s_fleet.systemID != system_id:
continue
if mission.type in [MissionType.SECURE, MissionType.MILITARY]:
target_obj = mission.target.get_object()
if target_obj is not None and target_obj.id in secure_targets:
system_secured = True
break
system_secured = system_secured and system_status.get("myFleetRating", 0)
debug(
"Invasion eval of %s\n"
" - maxShields: %.1f\n"
" - sysFleetThreat: %.1f\n"
" - sysMonsterThreat: %.1f",
planet,
planet.currentMeterValue(fo.meterType.maxShield),
system_fleet_treat,
system_monster_threat,
)
enemy_val = 0
if planet.owner != -1: # value in taking this away from an enemy
enemy_val = 20 * (
planet.currentMeterValue(fo.meterType.targetIndustry) +
2 * planet.currentMeterValue(fo.meterType.targetResearch))
# devalue invasions that would require too much military force
preferred_max_portion = MilitaryAI.get_preferred_max_military_portion_for_single_battle(
)
total_max_mil_rating = MilitaryAI.get_concentrated_tot_mil_rating()
threat_exponent = 2 # TODO: make this a character trait; higher aggression with a lower exponent
threat_factor = min(
1, preferred_max_portion * total_max_mil_rating /
(sys_total_threat + 0.001))**threat_exponent
design_id, _, locs = get_best_ship_info(PriorityType.PRODUCTION_INVASION)
if not locs or not universe.getPlanet(locs[0]):
# We are in trouble anyway, so just calculate whatever approximation...
build_time = 4
planned_troops = troops if system_secured else min(
troops + troop_regen * (max_jumps + build_time), max_troops)
planned_troops += 0.01 # we must attack with more troops than there are defenders
troop_cost = math.ceil((planned_troops + _TROOPS_SAFETY_MARGIN) /
6.0) * 20 * FleetUtilsAI.get_fleet_upkeep()
else:
loc = locs[0]
species_here = universe.getPlanet(loc).speciesName
design = fo.getShipDesign(design_id)
cost_per_ship = design.productionCost(empire_id, loc)
build_time = design.productionTime(empire_id, loc)
troops_per_ship = CombatRatingsAI.weight_attack_troops(
design.troopCapacity,
get_species_tag_grade(species_here, Tags.ATTACKTROOPS))
planned_troops = troops if system_secured else min(
troops + troop_regen * (max_jumps + build_time), max_troops)
planned_troops += 0.01 # we must attack with more troops than there are defenders
ships_needed = math.ceil(
(planned_troops + _TROOPS_SAFETY_MARGIN) / float(troops_per_ship))
troop_cost = ships_needed * cost_per_ship # fleet upkeep is already included in query from server
# apply some bias to expensive operations
normalized_cost = float(troop_cost) / max(fo.getEmpire().productionPoints,
1)
normalized_cost = max(1.0, normalized_cost)
cost_score = (normalized_cost**2 / 50.0) * troop_cost
base_score = colony_base_value + bld_tally + tech_tally + enemy_val - cost_score
# If the AI does have enough total military to attack this target, and the target is more than minimally valuable,
# don't let the threat_factor discount the adjusted value below MIN_INVASION_SCORE +1, so that if there are no
# other targets the AI could still pursue this one. Otherwise, scoring pressure from
# MilitaryAI.get_preferred_max_military_portion_for_single_battle might prevent the AI from attacking heavily
# defended but still defeatable targets even if it has no softer targets available.
if total_max_mil_rating > sys_total_threat and base_score > 2 * MIN_INVASION_SCORE:
threat_factor = max(threat_factor,
(MIN_INVASION_SCORE + 1) / base_score)
planet_score = retaliation_risk_factor(planet.owner) * threat_factor * max(
0, base_score)
if clear_path:
planet_score *= 1.5
debug(
" - planet score: %.2f\n"
" - planned troops: %.2f\n"
" - projected troop cost: %.1f\n"
" - threat factor: %s\n"
" - planet detail: %s\n"
" - popval: %.1f\n"
" - bldval: %s\n"
" - enemyval: %s",
planet_score,
planned_troops,
troop_cost,
threat_factor,
detail,
colony_base_value,
bld_tally,
enemy_val,
)
debug(" - system secured: %s" % system_secured)
return [planet_score, planned_troops]
def calculateMilitaryPriority():
"""calculates the demand for military ships by military targeted systems"""
global unmetThreat
universe = fo.getUniverse()
empire = fo.getEmpire()
empireID = empire.empireID
capitalID = PlanetUtilsAI.get_capital()
if capitalID is not None and capitalID != -1:
homeworld = universe.getPlanet(capitalID)
else:
return 0 # no capitol (not even a capitol-in-the-making), means can't produce any ships
have_l1_weaps = (
tech_is_complete("SHP_WEAPON_1_4")
or (tech_is_complete("SHP_WEAPON_1_3") and tech_is_complete("SHP_MIL_ROBO_CONT"))
or tech_is_complete("SHP_WEAPON_2_1")
or tech_is_complete("SHP_WEAPON_4_1")
)
have_l2_weaps = tech_is_complete("SHP_WEAPON_2_3") or tech_is_complete("SHP_WEAPON_4_1")
enemies_sighted = foAI.foAIstate.misc.get("enemies_sighted", {})
allottedInvasionTargets = 1 + int(fo.currentTurn() / 25)
targetPlanetIDs = (
[pid for pid, pscore, trp in AIstate.invasionTargets[:allottedInvasionTargets]]
+ [pid for pid, pscore in foAI.foAIstate.colonisablePlanetIDs.items()[:allottedColonyTargets]]
+ [pid for pid, pscore in foAI.foAIstate.colonisableOutpostIDs.items()[:allottedColonyTargets]]
)
mySystems = set(AIstate.popCtrSystemIDs).union(AIstate.outpostSystemIDs)
targetSystems = set(PlanetUtilsAI.get_systems(targetPlanetIDs))
curShipRating = ProductionAI.cur_best_military_design_rating()
cSRR = curShipRating ** 0.5
defense_ships_needed = 0
currentTurn = fo.currentTurn()
ships_needed = 0
defense_ships_needed = 0
ships_needed_allocation = []
for sysID in mySystems.union(targetSystems):
status = foAI.foAIstate.systemStatus.get(sysID, {})
myRating = status.get("myFleetRating", 0)
my_defenses = status.get("mydefenses", {}).get("overall", 0)
baseMonsterThreat = status.get("monsterThreat", 0)
# scale monster threat so that in early - mid game big monsters don't over-drive military production
monsterThreat = baseMonsterThreat
if currentTurn > 200:
pass
elif currentTurn > 100:
if baseMonsterThreat >= 2000:
monsterThreat = 2000 + (currentTurn / 100.0 - 1) * (baseMonsterThreat - 2000)
elif currentTurn > 30:
if baseMonsterThreat >= 2000:
monsterThreat = 0
else:
if baseMonsterThreat > 200:
monsterThreat = 0
if sysID in mySystems:
threatRoot = (
status.get("fleetThreat", 0) ** 0.5
+ 0.8 * status.get("max_neighbor_threat", 0) ** 0.5
+ 0.2 * status.get("neighborThreat", 0) ** 0.5
+ monsterThreat ** 0.5
+ status.get("planetThreat", 0) ** 0.5
)
else:
threatRoot = (
status.get("fleetThreat", 0) ** 0.5 + monsterThreat ** 0.5 + status.get("planetThreat", 0) ** 0.5
)
ships_needed_here = math.ceil(
(max(0, (threatRoot - (myRating ** 0.5 + my_defenses ** 0.5))) ** 2) / curShipRating
)
ships_needed += ships_needed_here
ships_needed_allocation.append((sysID, ships_needed_here))
if sysID in mySystems:
defense_ships_needed += ships_needed_here
part1 = min(1 * fo.currentTurn(), 40)
part2 = max(0, int(75 * ships_needed))
militaryPriority = part1 + part2
if not have_l1_weaps:
militaryPriority /= 2.0
elif not (have_l2_weaps and enemies_sighted):
militaryPriority /= 1.5
fmt_string = "Calculating Military Priority: min(t,40) + max(0,75 * ships_needed) \n\t Priority: %d \t ships_needed: %d \t defense_ships_needed: %d \t curShipRating: %.0f \t l1_weaps: %s \t enemies_sighted: %s"
print fmt_string % (
militaryPriority,
ships_needed,
defense_ships_needed,
curShipRating,
have_l1_weaps,
enemies_sighted,
)
print "Source of milship demand: ", ships_needed_allocation
if foAI.foAIstate.aggression < fo.aggression.typical:
militaryPriority *= (1.0 + foAI.foAIstate.aggression) / (1.0 + fo.aggression.typical)
return max(militaryPriority, 0)
def set_planet_industry_and_research_foci(focus_manager, priority_ratio):
"""Adjust planet's industry versus research focus while targeting the given ratio and
avoiding penalties from changing focus."""
debug("\n-----------------------------------------")
debug("Making Planet Focus Change Determinations\n")
ratios = []
# for each planet, calculate RP:PP value ratio at which industry focus and
# research focus would have the same total value, & sort by that include a
# bias to slightly discourage changing foci
target_pp = 0.001
target_rp = 0.001
resource_timer.start("Loop") # loop
has_force = tech_is_complete("CON_FRC_ENRG_STRC")
# cumulative all industry focus
cumulative_pp, cumulative_rp = 0, 0
# Handle presets which only have possible output for preset focus
for pid, pinfo in focus_manager.baked_planet_info.items():
future_pp, future_rp = pinfo.possible_output[pinfo.future_focus]
target_pp += future_pp
target_rp += future_rp
cumulative_pp += future_pp
cumulative_rp += future_rp
# tally max Industry
for pid, pinfo in focus_manager.raw_planet_info.items():
i_pp, i_rp = pinfo.possible_output[INDUSTRY]
cumulative_pp += i_pp
cumulative_rp += i_rp
if RESEARCH not in pinfo.planet.availableFoci:
if focus_manager.bake_future_focus(pid, INDUSTRY, False):
target_pp += i_pp
target_rp += i_rp
# smallest possible ratio of research to industry with an all industry focus
maxi_ratio = cumulative_rp / max(0.01, cumulative_pp)
aistate = get_aistate()
for adj_round in [1, 2, 3, 4]:
for pid, pinfo in focus_manager.raw_planet_info.items():
ii, tr = pinfo.possible_output[INDUSTRY]
ri, rr = pinfo.possible_output[RESEARCH]
ci, cr = pinfo.current_output
research_penalty = AIDependencies.FOCUS_CHANGE_PENALTY if (
pinfo.current_focus != RESEARCH) else 0
# calculate factor F at which ii + F * tr == ri + F * rr =====> F = ( ii-ri ) / (rr-tr)
factor = (ii - ri) / max(0.01, rr - tr)
planet = pinfo.planet
if adj_round == 1: # take research at planets that can not use industry focus
if INDUSTRY not in pinfo.planet.availableFoci:
target_pp += ri
target_rp += rr
focus_manager.bake_future_focus(pid, RESEARCH, False)
continue
if adj_round == 2: # take research at planets with very cheap research
if (maxi_ratio < priority_ratio) and (
target_rp <
priority_ratio * cumulative_pp) and (factor <= 1.0):
target_pp += ri
target_rp += rr
focus_manager.bake_future_focus(pid, RESEARCH, False)
continue
if adj_round == 3: # take research at planets where can do reasonable balance
# if this planet in range where temporary Research focus ("research dithering") can get some additional
# RP at a good PP cost, and still need some RP, then consider doing it.
# Won't really work if AI has researched Force Energy Structures (meters fall too fast)
# TODO: add similar decision points by which research-rich planets
# might possibly choose to dither for industry points
if any(
(has_force,
not aistate.character.may_dither_focus_to_gain_research(),
target_rp >= priority_ratio * cumulative_pp)):
continue
pop = planet.initialMeterValue(fo.meterType.population)
t_pop = planet.initialMeterValue(fo.meterType.targetPopulation)
# let pop stabilize before trying to dither; the calculations that determine whether dithering will be
# advantageous assume a stable population, so a larger gap means a less reliable decision
MAX_DITHER_POP_GAP = 5 # some smallish number
if pop < t_pop - MAX_DITHER_POP_GAP:
continue
# if gap between R-focus and I-focus target research levels is too narrow, don't research dither.
# A gap of 1 would provide a single point of RP, at a cost of 3 PP; a gap of 2 the cost is 2.7 PP/RP;
# a gap of 3 at 2.1 PP/RP; a gap of 4, 1.8 PP/RP; a gap of 5, 1.7 PP/RP. The bigger the gap, the
# better; a gap of 10 would provide RP at a cost of 1.3 PP/RP (or even less if the target PP gap
# were smaller).
MIN_DITHER_TARGET_RESEARCH_GAP = 3
if (rr - tr) < MIN_DITHER_TARGET_RESEARCH_GAP:
continue
# could double check that planet even has Industry Focus available, but no harm even if not
# So at this point we have determined the planet has research targets compatible with employing focus
# dither. The research focus phase will last until current research reaches the Research-Focus
# research target, determined by the 'research_capped' indicator, at which point the focus is
# changed to Industry (currently left to be handled by standard focus code later). The research_capped
# indicator, though, is a spot indicator whose value under normal dither operation would revert on the
# next turn, so we need another indicator to maintain the focus change until the Industry meter has
# recovered to its max target level; the indicator to keep the research phase turned off needs to have
# some type of hysteresis component or otherwise be sensitive to the direction of meter change; in the
# indicator below this is accomplished primarily by comparing a difference of changes on both the
# research and industry side, the 'research_penalty' adjustment in the industry_recovery_phase
# calculation prevents the indicator from stopping recovery mode one turn too early.
research_capped = (rr - cr) <= 0.5
industry_recovery_phase = (ii - ci) - (
cr - tr
) > AIDependencies.FOCUS_CHANGE_PENALTY - research_penalty
if not (research_capped or industry_recovery_phase):
target_pp += ci - 1 - research_penalty
target_rp += cr + 1
focus_manager.bake_future_focus(pid, RESEARCH, False)
continue
if adj_round == 4: # assume default IFocus
target_pp += ii # icurTargets initially calculated by Industry focus, which will be our default focus
target_rp += tr
ratios.append((factor, pid, pinfo))
ratios.sort()
printed_header = False
got_algo = tech_is_complete("LRN_ALGO_ELEGANCE")
for ratio, pid, pinfo in ratios:
if priority_ratio < (target_rp /
(target_pp + 0.0001)): # we have enough RP
if ratio < 1.1 and aistate.character.may_research_heavily():
# but wait, RP is still super cheap relative to PP, maybe will take more RP
if priority_ratio < 1.5 * (target_rp / (target_pp + 0.0001)):
# yeah, really a glut of RP, stop taking RP
break
else: # RP not super cheap & we have enough, stop taking it
break
ii, tr = pinfo.possible_output[INDUSTRY]
ri, rr = pinfo.possible_output[RESEARCH]
if ((ratio > 2.0 and target_pp < 15 and got_algo)
or (ratio > 2.5 and target_pp < 25 and ii > 5 and got_algo)
or (ratio > 3.0 and target_pp < 40 and ii > 5 and got_algo)
or (ratio > 4.0 and target_pp < 100 and ii > 10)
or ((target_rp + rr - tr) / max(0.001, target_pp - ii + ri) >
2 * priority_ratio)):
# we already have algo elegance and more RP would be too expensive, or overkill
if not printed_header:
printed_header = True
debug(
"Rejecting further Research Focus choices as too expensive:"
)
debug("%34s|%20s|%15s |%15s|%15s |%15s |%15s",
" Planet ", " current RP/PP ",
" current target RP/PP ", "current Focus ",
" rejectedFocus ", " rejected target RP/PP ",
"rejected RP-PP EQF")
old_focus = pinfo.current_focus
c_pp, c_rp = pinfo.current_output
ot_pp, ot_rp = pinfo.possible_output[old_focus]
nt_pp, nt_rp = pinfo.possible_output[RESEARCH]
debug(
"pID (%3d) %22s | c: %5.1f / %5.1f | cT: %5.1f / %5.1f"
" | cF: %8s | nF: %8s | cT: %5.1f / %5.1f | %.2f", pid,
pinfo.planet.name, c_rp, c_pp, ot_rp, ot_pp,
_focus_names.get(old_focus, 'unknown'), _focus_names[RESEARCH],
nt_rp, nt_pp, ratio)
# RP is getting too expensive, but might be willing to still allocate from a planet with less PP to lose
continue
focus_manager.bake_future_focus(pid, RESEARCH, False)
target_rp += (rr - tr)
target_pp -= (ii - ri)
# Any planet still raw is set to industry
for pid in focus_manager.raw_planet_info.keys():
focus_manager.bake_future_focus(pid, INDUSTRY, False)
def set_planet_industry_and_research_foci(focus_manager, priority_ratio):
"""Adjust planet's industry versus research focus while targeting the given ratio and
avoiding penalties from changing focus."""
print "\n-----------------------------------------"
print "Making Planet Focus Change Determinations\n"
ratios = []
# for each planet, calculate RP:PP value ratio at which industry/Mining focus and research focus would have the same total value, & sort by that
# include a bias to slightly discourage changing foci
target_pp = 0.001
target_rp = 0.001
resource_timer.start("Loop") # loop
has_force = tech_is_complete("CON_FRC_ENRG_STRC")
# cumulative all industry focus
cumulative_pp, cumulative_rp = 0, 0
# Handle presets which only have possible output for preset focus
for pid, info in focus_manager.baked_planet_info.items():
future_pp, future_rp = info.possible_output[info.future_focus]
target_pp += future_pp
target_rp += future_rp
cumulative_pp += future_pp
cumulative_rp += future_rp
# tally max Industry
for pid, info in focus_manager.raw_planet_info.items():
i_pp, i_rp = info.possible_output[INDUSTRY]
cumulative_pp += i_pp
cumulative_rp += i_rp
if RESEARCH not in info.planet.availableFoci:
focus_manager.bake_future_focus(pid, info.current_focus, False)
# smallest possible ratio of research to industry with an all industry focus
maxi_ratio = cumulative_rp / max(0.01, cumulative_pp)
for adj_round in [2, 3, 4]:
for pid, info in focus_manager.raw_planet_info.items():
ii, tr = info.possible_output[INDUSTRY]
ri, rr = info.possible_output[RESEARCH]
ci, cr = info.current_output
research_penalty = (info.current_focus != RESEARCH)
# calculate factor F at which ii + F * tr == ri + F * rr =====> F = ( ii-ri ) / (rr-tr)
factor = (ii - ri) / max(0.01, rr - tr) # don't let denominator be zero for planets where focus doesn't change RP
planet = info.planet
if adj_round == 2: # take research at planets with very cheap research
if (maxi_ratio < priority_ratio) and (target_rp < priority_ratio * cumulative_pp) and (factor <= 1.0):
target_pp += ri
target_rp += rr
focus_manager.bake_future_focus(pid, RESEARCH, False)
continue
if adj_round == 3: # take research at planets where can do reasonable balance
if has_force or (foAI.foAIstate.aggression < fo.aggression.aggressive) or (target_rp >= priority_ratio * cumulative_pp):
continue
pop = planet.currentMeterValue(fo.meterType.population)
t_pop = planet.currentMeterValue(fo.meterType.targetPopulation)
# if AI is aggressive+, and this planet in range where temporary Research focus can get an additional RP at cost of 1 PP, and still need some RP, then do it
if pop < t_pop - 5:
continue
if (ci > ii + 8) or (((rr > ii) or ((rr - cr) >= 1 + 2 * research_penalty)) and ((rr - tr) >= 3) and ((cr - tr) >= 0.7 * ((ii - ci) * (1 + 0.1 * research_penalty)))):
target_pp += ci - 1 - research_penalty
target_rp += cr + 1
focus_manager.bake_future_focus(pid, RESEARCH, False)
continue
if adj_round == 4: # assume default IFocus
target_pp += ii # icurTargets initially calculated by Industry focus, which will be our default focus
target_rp += tr
ratios.append((factor, pid, info))
ratios.sort()
printed_header = False
got_algo = tech_is_complete("LRN_ALGO_ELEGANCE")
for ratio, pid, info in ratios:
if priority_ratio < (target_rp / (target_pp + 0.0001)): # we have enough RP
if ratio < 1.1 and foAI.foAIstate.aggression > fo.aggression.cautious: # but wait, RP is still super cheap relative to PP, maybe will take more RP
if priority_ratio < 1.5 * (target_rp / (target_pp + 0.0001)): # yeah, really a glut of RP, stop taking RP
break
else: # RP not super cheap & we have enough, stop taking it
break
ii, tr = info.possible_output[INDUSTRY]
ri, rr = info.possible_output[RESEARCH]
# if focus_manager.current_focus[pid] == MFocus:
# ii = max( ii, focus_manager.possible_output[MFocus][0] )
if ((ratio > 2.0 and target_pp < 15 and got_algo) or
(ratio > 2.5 and target_pp < 25 and ii > 5 and got_algo) or
(ratio > 3.0 and target_pp < 40 and ii > 5 and got_algo) or
(ratio > 4.0 and target_pp < 100 and ii > 10) or
((target_rp + rr - tr) / max(0.001, target_pp - ii + ri) > 2 * priority_ratio)): # we already have algo elegance and more RP would be too expensive, or overkill
if not printed_header:
printed_header = True
print "Rejecting further Research Focus choices as too expensive:"
print "%34s|%20s|%15s |%15s|%15s |%15s |%15s" % (" Planet ", " current RP/PP ", " current target RP/PP ", "current Focus ", " rejectedFocus ", " rejected target RP/PP ", "rejected RP-PP EQF")
old_focus = info.current_focus
c_pp, c_rp = info.current_output
ot_pp, ot_rp = info.possible_output[old_focus]
nt_pp, nt_rp = info.possible_output[RESEARCH]
print "pID (%3d) %22s | c: %5.1f / %5.1f | cT: %5.1f / %5.1f | cF: %8s | nF: %8s | cT: %5.1f / %5.1f | %.2f" % (pid, info.planet.name, c_rp, c_pp, ot_rp, ot_pp, _focus_names.get(old_focus, 'unknown'), _focus_names[RESEARCH], nt_rp, nt_pp, ratio)
continue # RP is getting too expensive, but might be willing to still allocate from a planet with less PP to lose
# if focus_manager.planet_map[pid].currentMeterValue(fo.meterType.targetPopulation) >0: #only set to research if pop won't die out
focus_manager.bake_future_focus(pid, RESEARCH, False)
target_rp += (rr - tr)
target_pp -= (ii - ri)
# Any planet in the ratios list and still raw is set to industry
for ratio, pid, info in ratios:
if pid in focus_manager.raw_planet_info:
focus_manager.bake_future_focus(pid, INDUSTRY, False)
