Chen Yi
e0073e90bd
主角线：Guspu Frillyknots / Ral Fastenhatchets / Alath Blottedmine 由线索挖掘器自动选定，按因果链切集，经 5 维度自评闸门（≥12 分）后入库。
142 lines
4.6 KiB
Python
142 lines
4.6 KiB
Python
"""事件显著度评分与小人物过滤。
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真实数据给的教训：40 万条事件里绝大多数是流水账
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（change hf state 7.3 万、change hf job 5.8 万、written content composed 3.9 万），
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直接按类型切章会得到 5910 章，毫无叙事价值。
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因此策略是：
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1. 只保留天然有叙事张力的事件类型（攻城、灭国、神器、死亡、结盟……）
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2. 再按"参与者有多重要"做二次排序，让编年史跟着大人物走
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"""
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from __future__ import annotations
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from collections import Counter
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from dfannals.legends import Event, World
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# 事件类型 → 基础分。0 分表示不单独叙事（流水账）
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NARRATIVE: dict[str, int] = {
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# ---- 天崩地裂级
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"destroyed site": 100,
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"razed structure": 100,
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"entity overthrown": 100,
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"hf destroyed site": 95,
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"plundered site": 95,
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"field battle": 95,
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"entity dissolved": 90,
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"holy city declaration": 90,
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"site taken over": 90,
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"entity breach feature layer": 90,
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"entity alliance formed": 85,
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"peace accepted": 85,
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"hf enslaved": 85,
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"hf revived": 80,
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"entity relocate": 80,
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"hf ransomed": 80,
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"peace rejected": 78,
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# ---- 重大
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"created site": 75,
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"reclaim site": 72,
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"attacked site": 70,
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"hf attacked site": 70,
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"entity created": 70,
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"artifact destroyed": 70,
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"new site leader": 65,
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"created world construction": 60,
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"entity persecuted": 60,
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"hf convicted": 60,
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"site dispute": 55,
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"failed intrigue corruption": 55,
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"artifact recovered": 60,
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"artifact possessed": 60,
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# ---- 值得一记
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"artifact created": 45,
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"artifact lost": 45,
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"creature devoured": 42,
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"hf abducted": 40,
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"assume identity": 40,
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"knowledge discovered": 38,
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"artifact given": 36,
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"agreement formed": 36,
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"hf gains secret goal": 36,
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"item stolen": 34,
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"hf performed horrible experiments": 45,
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"failed frame attempt": 40,
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"hf profaned structure": 38,
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"changed creature type": 36,
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"hf interrogated": 34,
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"created structure": 30,
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"hf wounded": 30,
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"hf learns secret": 34,
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"changed hf body state": 30,
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}
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# 死亡单独处理：分数取决于死者本身有多重要
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DEATH_TYPES = ("hf died",)
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CATEGORIES: list[tuple[tuple[str, ...], str]] = [
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(("war", "battle", "siege", "raid", "attack", "plunder", "destroy", "sack", "taken over"), "战事"),
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(("died", "death", "slain", "murder", "assassin", "enslaved", "ransomed", "revived"), "生死"),
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(("created site", "reclaim", "relocate", "dissolved", "overthrown", "alliance", "entity created"), "兴亡"),
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(("artifact", "masterpiece", "construction", "structure", "razed"), "器物"),
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(("peace", "agreement", "tribute", "persecuted", "convicted", "dispute", "intrigue"), "政争"),
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(("knowledge", "secret", "abducted", "identity", "experiment", "profaned", "devoured"), "异闻"),
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]
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def category(event: Event) -> str:
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t = event.type.lower()
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for keys, label in CATEGORIES:
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if any(k in t for k in keys):
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return label
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return "杂记"
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def prominence(world: World) -> Counter[int]:
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"""每个人物被卷入的事件次数——用来衡量他在史料里有多重要。
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改用字段分类器后覆盖了 40+ 个人物字段（旧版只数 6 个），数值尺度整体变大，
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因此 PROMINENT 阈值必须按新尺度重校。结果缓存在 World 上，避免反复重算。
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"""
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cached = getattr(world, "_prominence", None)
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if cached is not None:
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return cached
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counts: Counter[int] = Counter()
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for e in world.events:
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counts.update(e.figure_ids())
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world._prominence = counts # type: ignore[attr-defined]
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return counts
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def _participants(event: Event) -> list[int]:
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return event.figure_ids()
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# 人物重要度阈值：参与事件数达到这个量级才算"要角"
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PROMINENT = 60
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def significance(event: Event, prom: Counter[int] | None = None, prominent: int = PROMINENT) -> int:
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"""事件的故事价值。0 表示不值得单独写。"""
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t = event.type.lower()
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base = NARRATIVE.get(t, 0)
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people = _participants(event)
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top = max((prom.get(p, 0) for p in people), default=0) if prom else 0
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if t in DEATH_TYPES:
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# 无名死者不写；要角之死按重要度加分
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if top < prominent:
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return 0
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return 55 + min(45, top // 10)
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if base == 0:
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return 0
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# 参与者越重要，越值得写；但不要盖过类型本身的分量
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bonus = min(25, top // 25) if prom else 0
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return base + bonus
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def is_narrative(event: Event, prom: Counter[int] | None = None) -> bool:
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return significance(event, prom) > 0
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