개선관리 요구사항과 Google 로그인을 완료
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Yun Chan
parent
cc0a15b7c6
commit
2a39636163
112 changed files with 10166 additions and 527 deletions
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@ -153,6 +153,8 @@ class LiveCoachGrounding(BaseModel):
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source_type: Optional[str] = None
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version: Optional[str] = None
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citation: Optional[str] = None
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license_class: Literal["A", "B", "C", "D"] | None = None
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external_llm_ok: bool = False
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summary: str
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@ -388,7 +390,8 @@ def _local_reference_grounding(item: LiveCoachInput, *, limit: int = 5) -> list[
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fallback: list[tuple[int, dict[str, Any], dict[str, Any]]] = []
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for source_index, payload in enumerate(_local_source_payloads()):
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source = payload.get("source") or {}
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if source.get("external_llm_ok") is False:
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license_class = str(source.get("license_class") or "").strip().upper()
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if source.get("external_llm_ok") is not True or license_class not in {"A", "B"}:
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continue
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for chunk_index, chunk in enumerate(payload.get("chunks") or []):
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if not isinstance(chunk, dict):
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@ -404,6 +407,9 @@ def _local_reference_grounding(item: LiveCoachInput, *, limit: int = 5) -> list[
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scored.sort(key=lambda pair: (pair[0], pair[1]), reverse=True)
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out: list[LiveCoachGrounding] = []
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for _, _, source, chunk in scored[:limit]:
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source_license_class = str(source.get("license_class") or "").strip().upper()
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if source_license_class not in {"A", "B"}:
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continue
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out.append(
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LiveCoachGrounding(
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source_id=str(chunk.get("source_id") or source.get("source_id") or "live_coaching_source"),
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@ -413,12 +419,26 @@ def _local_reference_grounding(item: LiveCoachInput, *, limit: int = 5) -> list[
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source_type=str(chunk.get("source_type") or source.get("source_type") or "") or None,
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version=str(chunk.get("version") or source.get("version") or "") or None,
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citation=str(chunk.get("citation") or source.get("citation") or "") or None,
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license_class=source_license_class,
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external_llm_ok=source.get("external_llm_ok") is True,
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summary=str(chunk.get("summary") or ""),
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)
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)
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return out
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def _external_safe_grounding(
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grounding: list[LiveCoachGrounding],
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) -> list[LiveCoachGrounding]:
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"""외부 엔진 요청에 명시적으로 허용된 A/B 근거만 전달한다."""
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return [
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item
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for item in grounding
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if item.external_llm_ok is True and item.license_class in {"A", "B"}
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]
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def _source_refs(grounding: list[LiveCoachGrounding]) -> list[LiveCoachSource]:
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seen: set[tuple[str, str | None]] = set()
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refs: list[LiveCoachSource] = []
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@ -478,7 +498,30 @@ def _clip(value: Any, limit: int) -> Optional[str]:
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return text if len(text) <= limit else text[: limit - 1].rstrip() + "…"
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def _coerce_payload(payload: dict[str, Any], *, sources: list[LiveCoachSource], latency_ms: int) -> LiveCoachSuggestion:
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def _mask_generated_text(
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value: Any,
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*,
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client_identity: str | None,
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limit: int,
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) -> Optional[str]:
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text = str(value or "").strip()
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if not text:
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return None
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masked = guardrail.mask_role_identities(
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text,
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client_identity=client_identity,
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synthetic_generated=True,
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).text_masked
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return _clip(masked, limit)
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def _coerce_payload(
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payload: dict[str, Any],
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*,
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sources: list[LiveCoachSource],
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latency_ms: int,
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client_identity: str | None = None,
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) -> LiveCoachSuggestion:
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tone = str(payload.get("tone") or "neutral")
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if tone not in ("pos", "warn", "neutral"):
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tone = "neutral"
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@ -500,11 +543,25 @@ def _coerce_payload(payload: dict[str, Any], *, sources: list[LiveCoachSource],
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status="ready",
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tone=tone, # type: ignore[arg-type]
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focus=focus, # type: ignore[arg-type]
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title=_clip(payload.get("title"), 32) or "다음 발화 조정",
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message=_clip(payload.get("message"), 120) or "지금은 내담자 말을 더 구체적으로 따라가는 편이 낫다.",
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next_utterance=_clip(payload.get("next_utterance"), 140),
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rationale=_clip(payload.get("rationale"), 180),
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safety_note=_clip(payload.get("safety_note"), 120),
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title=_mask_generated_text(
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payload.get("title"), client_identity=client_identity, limit=32
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)
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or "다음 발화 조정",
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message=_mask_generated_text(
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payload.get("message"), client_identity=client_identity, limit=120
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)
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or "지금은 내담자 말을 더 구체적으로 따라가는 편이 낫다.",
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next_utterance=_mask_generated_text(
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payload.get("next_utterance"),
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client_identity=client_identity,
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limit=140,
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),
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rationale=_mask_generated_text(
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payload.get("rationale"), client_identity=client_identity, limit=180
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),
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safety_note=_mask_generated_text(
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payload.get("safety_note"), client_identity=client_identity, limit=120
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),
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sources=sources,
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latency_ms=latency_ms,
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)
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@ -672,7 +729,8 @@ def _messages(item: LiveCoachInput, grounding: list[LiveCoachGrounding]) -> list
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goals = ", ".join(item.goal_stages) if item.goal_stages else "(미지정)"
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prior = (
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"\n".join(
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f"- {entry.get('title', '')} (focus: {entry.get('focus', '')})"
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f"- {_mask_generated_text(entry.get('title'), client_identity=item.persona_name, limit=80) or ''} "
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f"(focus: {entry.get('focus', '')})"
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for entry in item.prior_coach[-2:]
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if entry.get("title")
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)
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@ -685,7 +743,7 @@ def _messages(item: LiveCoachInput, grounding: list[LiveCoachGrounding]) -> list
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)
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user = (
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f"[세션] {item.session_id} / turn {item.turn_seq}\n"
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f"[내담자] {item.persona_name} ({item.persona_code})\n"
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f"[내담자] [CLIENT] ({item.persona_code})\n"
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f"[단계] {item.stage} / openness {item.effective_openness:.2f} / 이론 {item.theory_mode}\n"
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f"[이번 회기 목표 단계] {goals} — 코칭은 목표 단계 작업에 정렬하고, 목표를 이미 이뤘다면 심화를 제안한다.\n"
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f"[직전 코칭]\n{prior}\n(같은 조언을 반복하지 말고 다음 단계를 제시한다)\n\n"
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@ -726,7 +784,7 @@ async def generate_live_coaching(
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) -> LiveCoachSuggestion:
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"""턴 직후 라이브 코칭을 생성한다. 실패해도 규칙 기반 제안으로 반환한다."""
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local_grounding = _local_reference_grounding(item)
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all_grounding = [*local_grounding, *(grounding or [])]
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all_grounding = _external_safe_grounding([*local_grounding, *(grounding or [])])
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crisis = guardrail.classify_crisis(item.learner_text)
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if crisis.escalate:
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return _fallback_suggestion(item, grounding=all_grounding, status="ready")
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@ -769,7 +827,12 @@ async def generate_live_coaching(
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grounding=all_grounding,
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reason="구조화 출력을 반환하지 않았다",
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)
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return _coerce_payload(payload, sources=_source_refs(all_grounding), latency_ms=latency_ms)
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return _coerce_payload(
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payload,
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sources=_source_refs(all_grounding),
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latency_ms=latency_ms,
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client_identity=item.persona_name,
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)
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except EngineError as exc:
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return _fallback_suggestion(item, grounding=all_grounding, reason=str(exc))
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except Exception as exc:
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