summaryrefslogtreecommitdiff
path: root/character.py
blob: 7c814bde221d156ec1c524efdf0751c3e1d51189 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
import re
import json
from abc import ABC, abstractmethod

from dataclasses import dataclass, asdict


_skill_ability = {
#   "classDC"
    "perception": "wis",
    "fortitude": "con",
    "reflex": "dex",
    "will": "wis",
    "acrobatics": "dex",
    "arcana": "int",
    "athletics": "str",
    "crafting": "int",
    "deception": "cha",
    "diplomacy": "cha",
    "intimidation": "cha",
    "medicine": "wis",
    "nature": "wis",
    "occultism": "int",
    "performance": "cha",
    "religion": "wis",
    "society": "int",
    "stealth": "dex",
    "survival": "wis",
    "thievery": "dex",
    "lore1": "int",
    "lore2": "int"
}

class LevelingPlan(ABC):
    @abstractmethod
    def build(self, level: int):
        pass


class FeaturesPlan(LevelingPlan, dict):
    @classmethod
    def load(cls, name):
        with open(f"leveling/{name}.json", "r", encoding="utf8") as js_file:
            return cls({int(k):v for k,v in json.load(js_file).items()})
    
    def build(self, level: int):
        res = dict()
        # should be 0, but just in case of negative levels
        for lvl in range(-5, level+1): 
            res.update(self.get(lvl, dict()))
        return res
    
    def merge(self, other):
        for lvl, other_val in other.items():
            if lvl in self:
                val = self[lvl]
                for key in (val.keys() & other_val.keys()):
                    assert other_val[key] == val[key]
                val.update(other_val)
            else:
                self[lvl] = other_val


class Abilities(dict):
    field_names = ["str", "dex", "int", "wis", "cha", "con"]

    def __init__(self, data=None, **kwargs):
        super().__init__({field: 10 for field in Abilities.field_names})
        if data:
            self.update(data)
        if kwargs:
            self.update(kwargs)

    @staticmethod
    def ability_boost_factor(value):
        if value < 18:
            return 2
        return 1

    @staticmethod
    def ability_modifier(value):
        return (value - 10) // 2

    def apply_change(self, ability_name, step_direction=1):
        ability = self[ability_name]
        ability += step_direction*Abilities.ability_boost_factor(ability)
        self[ability_name] = ability

    def apply_changes(self, changes, step_direction=1):
        for change in changes:
            self.apply_change(change.lower(), step_direction)
    
    def modifier(self, ability_name):
        return Abilities.ability_modifier(self[ability_name])

class AbilitiesPlan(LevelingPlan):
    def __init__(self, data) -> None:
        super().__init__()
        boosts = data.pop("mapLevelledBoosts")
        self.levelBoosts = { int(level): values for level, values in boosts.items() }
        self.initialFlaws = dict()
        for flaw in ["ancestryFlaws"]:
            self.initialFlaws[flaw] = data.pop(flaw)
        self.initialBoosts = data

    def build(self, level: int):
        res = Abilities()
        for flaw in self.initialFlaws.values():
            res.apply_changes(flaw, -1)
        if level <= 0:
            return res
        for boost in self.initialBoosts.values():
            res.apply_changes(boost)
        for lvl, boost in self.levelBoosts.items():
            if lvl <= level:
                res.apply_changes(boost)
        return res

@dataclass
class Armor:
    name: str
    category: str = "light"
    ac: int = 1
    dex_cap: int = 4
    check_penalty: int = -1
    speed_penalty: int = -5
    strength_req: int = 0

@dataclass
class Character:
    data: dict
    hp_bonus: int
    hp_per_level: int
    speed: int
    level: int
    abilities: Abilities
    features: dict
    armor: Armor

    def __init__(self, data):
        self.data = data
        self.hp_bonus = 10
        self.hp_per_level = 8
        self.speed = 25
        self.level = 1
        self.abilities = Abilities()
        self.features = dict()
        self.armor = Armor("Leather armor")

    def max_hp(self):
        per_level = self.hp_per_level + self.abilities.modifier("con")
        return self.hp_bonus + per_level * self.level

    def skill_ability(self, skill):
        if skill == "classDC":
            return self.data["keyability"]
        return _skill_ability.get(skill)

    def proficiency_bonus(self, skill):
        return self.features.get(skill, 0) + self.level

    def proficiency(self, skill):
        # TODO + item bonuses
        ability = self.skill_ability(skill)
        ability = self.abilities.modifier(ability) if ability else 0
        return ability + self.proficiency_bonus(skill)

    def ac(self):
        dex_bonus = min(self.armor.dex_cap, self.abilities.modifier("dex"))
        prof = self.proficiency(self.armor.category)
        return 10 + dex_bonus + prof + self.armor.ac

    def classDC(self):
        return 10 + self.proficiency("classDC")

    def toJSON(self):
        methods = ["classDC", "max_hp", "ac"]
        obj = asdict(self)
        for method in methods:
            obj[method] = getattr(self, method)()
        return json.dumps(obj, indent=2)


class CharacterPlan(LevelingPlan):
    def __init__(self, data) -> None:
        self.data = data
        (self._class, self.subclass) = self.parse_subclass(data["class"])
        data["class"] = self._class
        data["subclass"] = self.subclass
        abilities = data["abilities"]["breakdown"]
        self.attributes = data["attributes"]
        self.cleanup_build_data(data)
        self.abilities = AbilitiesPlan(abilities)
        self.features = FeaturesPlan()
        self.features.merge(FeaturesPlan.load(self._class))
        self.features.merge(FeaturesPlan.load("fundamental_runes"))
        # TODO add skill increases to calculate proficiencies


    @staticmethod
    def cleanup_build_data(data):
        duplicates = ["acTotal", "level", "xp", "abilities", "attributes", 
                     "proficiencies"]
        spells = ["rituals", "spellCasters", "focus", "focusPoints"]
        equipment = ["money", "armor", "weapons", "equipment", "equipmentContainers"]
        blacklist = duplicates
        blacklist.extend(spells)
        blacklist.extend(equipment)
        for key in blacklist:
            del data[key]

    @staticmethod
    def parse_subclass(s: str):
        match = re.fullmatch(r'\s*([^(]+)\s*\(\s*([^)]+)\s*\)\s*', s)
        if match:
            return match.group(1).strip().lower(), match.group(2).strip().lower()
        return s, None


    def build(self, level: int):
        res = Character(self.data)
        res.level = level
        res.speed = self.attributes["speed"] + self.attributes["speedBonus"]
        res.hp_bonus = self.attributes["bonushp"] + self.attributes["ancestryhp"]
        res.hp_per_level = \
            self.attributes["classhp"] + self.attributes["bonushpPerLevel"]
        res.abilities = self.abilities.build(level)
        res.features = self.features.build(level)
        return res