Spaces:
Running
Running
File size: 1,448 Bytes
414dc55 | 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 | """Deterministic relevance: how a presented clue relates to a suspect.
This is computed from ground truth, never from the model. ``BREAKING`` means the clue
is one that an anchored lie of this suspect explicitly breaks on - the only way a lie
is ever caught.
"""
from __future__ import annotations
from dataclasses import dataclass
from ..schemas.case import CaseFile
from ..schemas.enums import Relevance
from ..schemas.suspect import Suspect
@dataclass(frozen=True)
class RelevanceResult:
relevance: Relevance
broken_lie_id: str | None = None
def assess_relevance(case: CaseFile, suspect: Suspect, clue_id: str | None) -> RelevanceResult:
if clue_id is None:
return RelevanceResult(Relevance.NONE)
try:
clue = case.clue(clue_id)
except KeyError:
return RelevanceResult(Relevance.NONE)
# Breaking: this clue defeats one of the suspect's anchored lies.
for lie in suspect.anchored_lies:
if clue_id in lie.breaks_on:
return RelevanceResult(Relevance.BREAKING, broken_lie_id=lie.lie_id)
if clue.contradicts_alibi_of == suspect.sus_id:
return RelevanceResult(Relevance.BREAKING)
if clue.points_to_sus_id == suspect.sus_id:
return RelevanceResult(Relevance.DIRECT)
if clue.supports_fact_id and clue.supports_fact_id in suspect.knows_facts:
return RelevanceResult(Relevance.DIRECT)
return RelevanceResult(Relevance.TANGENTIAL)
|