Jev 기반 내담자 감정 상태와 응답 일관성 개선

apps/api/app/services/state_machine.py

@@ -15,6 +15,7 @@ MASTERPLAN §0/§2.2 + MEMORY_KNOWLEDGE_PERSONA_DESIGN §1.1·P2:
 from __future__ import annotations
 
 from dataclasses import dataclass, field, replace
+import math
 from typing import Optional
 
 from ..taxonomy import Stage  # 단계 라벨 단일 정의 = taxonomy.Stage; 이 모듈은 전이 로직만 소유.
@@ -134,6 +135,22 @@ def _clamp01(x: float) -> float:
     return max(0.0, min(1.0, x))
 
 
+def _finite_affect_state(value: object) -> dict[str, float]:
+    """이전 snapshot의 유한 정서 수치만 회기 시작 상태로 복원한다."""
+    if not isinstance(value, dict):
+        return {}
+    restored: dict[str, float] = {}
+    for key, raw in value.items():
+        if (
+            isinstance(key, str)
+            and not isinstance(raw, bool)
+            and isinstance(raw, (int, float))
+            and math.isfinite(raw)
+        ):
+            restored[key] = float(raw)
+    return restored
+
+
 def compute_effective_openness(
     *,
     stage: Stage,
@@ -267,6 +284,7 @@ def init_state(
     rapport_credit = 0.0
     ideation_baseline = clamp_ideation_stage(params.ideation_baseline)
     ideation_stage = ideation_baseline
+    affect_state: dict[str, float] = {}
 
     if carry:
         rapport_credit = float(carry.get("rapport_credit", 0.0)) * 0.7  # P2 이월
@@ -277,6 +295,7 @@ def init_state(
             int(carry.get("ideation_stage", ideation_baseline))
         )
         ideation_stage = max(carried_ideation, ideation_baseline)
+        affect_state = _finite_affect_state(carry.get("affect"))
 
     eff = compute_effective_openness(
         stage=stage,
@@ -293,7 +312,7 @@ def init_state(
         resistance=resistance,
         ideation_stage=ideation_stage,
         turns_in_stage=0,
-        affect_state={},
+        affect_state=affect_state,
     )