Archipelago/worlds/factorio/Options.py

177 lines
6.3 KiB
Python

from __future__ import annotations
import typing
from Options import Choice, OptionDict, Option, DefaultOnToggle
from schema import Schema, Optional, And, Or
# schema helpers
FloatRange = lambda low,high: And(Or(int,float), lambda f: low<=f<=high)
LuaBool = Or(bool, And(int, lambda n: n in (0,1)))
class MaxSciencePack(Choice):
option_automation_science_pack = 0
option_logistic_science_pack = 1
option_military_science_pack = 2
option_chemical_science_pack = 3
option_production_science_pack = 4
option_utility_science_pack = 5
option_space_science_pack = 6
default = 6
def get_allowed_packs(self):
return {option.replace("_", "-") for option, value in self.options.items() if value <= self.value} - \
{"space-science-pack"} # with rocket launch being the goal, post-launch techs don't make sense
@classmethod
def get_ordered_science_packs(cls):
return [option.replace("_", "-") for option, value in sorted(cls.options.items(), key=lambda pair: pair[1])]
def get_max_pack(self):
return self.get_ordered_science_packs()[self.value].replace("_", "-")
class TechCost(Choice):
option_very_easy = 0
option_easy = 1
option_kind = 2
option_normal = 3
option_hard = 4
option_very_hard = 5
option_insane = 6
default = 3
class FreeSamples(Choice):
option_none = 0
option_single_craft = 1
option_half_stack = 2
option_stack = 3
default = 3
class TechTreeLayout(Choice):
option_single = 0
option_small_diamonds = 1
option_medium_diamonds = 2
option_large_diamonds = 3
option_small_pyramids = 4
option_medium_pyramids = 5
option_large_pyramids = 6
option_small_funnels = 7
option_medium_funnels = 8
option_large_funnels = 9
default = 0
class TechTreeInformation(Choice):
option_none = 0
option_advancement = 1
option_full = 2
default = 2
class RecipeTime(Choice):
option_vanilla = 0
option_fast = 1
option_normal = 2
option_slow = 4
option_chaos = 5
# TODO: implement random
class Progressive(Choice):
option_off = 0
option_random = 1
option_on = 2
default = 2
def want_progressives(self, random):
return random.choice([True, False]) if self.value == self.option_random else int(self.value)
class RecipeIngredients(Choice):
option_rocket = 0
option_science_pack = 1
class FactorioStartItems(OptionDict):
default = {"burner-mining-drill": 19, "stone-furnace": 19}
class FactorioWorldGen(OptionDict):
# FIXME: do we want default be a rando-optimized default or in-game DS?
value: typing.Dict[str, typing.Dict[str, typing.Any]]
default = {"terrain_segmentation": 0.5,
"water": 1.5,
"autoplace_controls": {"coal": {"frequency": 1, "size": 3, "richness": 6},
"copper-ore": {"frequency": 1, "size": 3, "richness": 6},
"crude-oil": {"frequency": 1, "size": 3, "richness": 6},
"enemy-base": {"frequency": 1, "size": 1, "richness": 1},
"iron-ore": {"frequency": 1, "size": 3, "richness": 6},
"stone": {"frequency": 1, "size": 3, "richness": 6},
"trees": {"frequency": 1, "size": 1, "richness": 1},
"uranium-ore": {"frequency": 1, "size": 3, "richness": 6}},
"seed": None,
"starting_area": 1,
"peaceful_mode": False,
"cliff_settings": {"name": "cliff", "cliff_elevation_0": 10, "cliff_elevation_interval": 40,
"richness": 1},
"pollution": {"enabled": True, "diffusion_ratio": 0.02, "ageing": 1,
"enemy_attack_pollution_consumption_modifier": 1,
"min_pollution_to_damage_trees": 60,
"pollution_restored_per_tree_damage": 10}}
schema = Schema({
"basic": {
Optional("terrain_segmentation"): FloatRange(0.166,6),
Optional("water"): FloatRange(0.166,6),
Optional("autoplace_controls"): {
str: {
"frequency": FloatRange(0,6),
"size": FloatRange(0,6),
"richness": FloatRange(0.166,6)}},
Optional("seed"): Or(None,And(int, lambda n: n>=0)),
Optional("starting_area"): FloatRange(0.166,6),
Optional("peaceful_mode"): LuaBool,
Optional("cliff_settings"): {
"name": str, "cliff_elevation_0": FloatRange(0,99),
"cliff_elevation_interval": FloatRange(0.066,241), # 40/frequency
"richness": FloatRange(0,6)},
},
"advanced": {
Optional("pollution"): {
Optional("enabled"): LuaBool,
Optional("diffusion_ratio"): FloatRange(0,0.25),
Optional("ageing"): FloatRange(0.1,4),
Optional("enemy_attack_pollution_consumption_modifier"): FloatRange(0.1,4),
Optional("min_pollution_to_damage_trees"): FloatRange(0,9999),
Optional("pollution_restored_per_tree_damage"): FloatRange(0,9999)}
}
})
def __init__(self, value: typing.Dict[str, typing.Any]):
advanced = {"pollution"}
self.value = {
"basic": { key: value[key] for key in value.keys() - advanced },
"advanced": { key: value[key] for key in value.keys() & advanced }
}
@classmethod
def from_any(cls, data: typing.Dict[str, typing.Any]) -> FactorioWorldGen:
if type(data) == dict:
return cls(data)
else:
raise NotImplementedError(f"Cannot Convert from non-dictionary, got {type(data)}")
factorio_options: typing.Dict[str, type(Option)] = {
"max_science_pack": MaxSciencePack,
"tech_tree_layout": TechTreeLayout,
"tech_cost": TechCost,
"free_samples": FreeSamples,
"tech_tree_information": TechTreeInformation,
"starting_items": FactorioStartItems,
"recipe_time": RecipeTime,
"recipe_ingredients": RecipeIngredients,
"imported_blueprints": DefaultOnToggle,
"world_gen": FactorioWorldGen,
"progressive": DefaultOnToggle
}