SSOT 대시보드:
- 한신대 기술분석 PDF(19쪽) 정합성 분석 + 이번 세션 발견 섹션 추가
- 섹션 폴드아웃(접기)·상단 목차(드릴다운)·모두 펼치기/접기 — 내용 보존, 레이아웃만 정리
페르소나 반응 강화('저항·반응 조절' 핵심 차별):
- PersonaCard.triggers(역린) 필드 + CCD 핵심상처 파생 역린 블록
- L0에 무례·모욕·조롱 시 현실적 동맹 균열 반응 지침
버그·성능 수정(라이브/E2E로 포착):
- 게이트웨이 페르소나 격리: --append-system-prompt를 --system-prompt(교체)로 + --exclude-dynamic-system-prompt-sections (내담자 캐릭터 붕괴·개발맥락 누출 차단)
- RAG: 임베더 동기 로드(약 7-13초)를 _warm_rag_caches 백그라운드 warm으로(세션 생성 블로킹 회귀 수정)
- voice TTS RMS 데드힌트 제거, init_state OpennessParams 파라미터객체화
- 한국어 PII(날짜·금액·주소) 마스킹 보강
- 레이아웃 시각 게이트: 폼 컨트롤 값 스크롤 오탐 제외(7/7)
검증: 백엔드 84/84, E2E 42(데스크톱 27·모바일 11·아바타 4), 시각 게이트 7/7
182 lines
6 KiB
Python
182 lines
6 KiB
Python
"""Regression tests for P1 PII masking before engine requests."""
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from __future__ import annotations
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import json
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import unittest
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from typing import Any
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from unittest.mock import patch
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from .engine_client import EngineClient, GenerateResponse
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from .services import guardrail, orchestrator, persona, state_machine
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RAW_PHONE = "010-1234-5678"
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RAW_EMAIL = "test@example.com"
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RAW_RRN = "990101-1234567"
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RAW_TEXT = f"My phone is {RAW_PHONE}, email {RAW_EMAIL}, and RRN {RAW_RRN}."
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RAW_VALUES = (RAW_PHONE, RAW_EMAIL, RAW_RRN)
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MASK_VALUES = ("[PHONE]", "[EMAIL]", "[RRN]")
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def _json_blob(value: Any) -> str:
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return json.dumps(value, ensure_ascii=False, sort_keys=True, default=str)
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def _message_blob(messages: object) -> str:
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return "\n".join(message.content for message in messages) # type: ignore[attr-defined]
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def _initial_state() -> state_machine.SessionState:
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card = persona.P1
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return state_machine.init_state(
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params=card.openness_params(),
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)
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def _prepare_context() -> orchestrator.TurnContext:
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return orchestrator.prepare_turn(
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session_id="masking-session",
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case_id="masking-case",
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card=persona.P1,
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state=_initial_state(),
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learner_text=RAW_TEXT,
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recent_turns=[
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{
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"speaker": "counselor",
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"text": "Previous learner contact was already masked: [PHONE] [EMAIL] [RRN].",
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}
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],
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)
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def _assert_no_raw_pii(test: unittest.TestCase, value: object) -> None:
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blob = _json_blob(value)
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for raw in RAW_VALUES:
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test.assertNotIn(raw, blob)
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def _assert_masked_pii_present(test: unittest.TestCase, value: object) -> None:
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blob = _json_blob(value)
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for masked in MASK_VALUES:
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test.assertIn(masked, blob)
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class CaptureGenerateEngine:
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def __init__(self) -> None:
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self.request = None
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self.payload: dict[str, Any] | None = None
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self._payload_builder = EngineClient(base_url="http://engine.test")
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async def generate(self, req):
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self.request = req
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self.payload = self._payload_builder._payload(req)
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return GenerateResponse(
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text="Masked engine reply.",
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model="fake-model",
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provider="fake-provider",
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tokens_in=3,
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tokens_out=4,
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cost_usd=0.0,
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)
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class CaptureStreamEngine:
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engine_mode = "fake-provider"
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default_model = "fake-model"
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def __init__(self) -> None:
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self.request = None
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self.payload: dict[str, Any] | None = None
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self._payload_builder = EngineClient(base_url="http://engine.test")
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async def stream(self, req):
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self.request = req
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self.payload = self._payload_builder._payload(req)
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yield "event: token"
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yield 'data: {"text":"Masked stream reply."}'
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yield "event: done"
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yield (
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'data: {"provider":"fake-provider","model":"fake-model",'
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'"tokens_in":5,"tokens_out":6,"cost_usd":0.0}'
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)
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class OrchestratorMaskingGateTest(unittest.IsolatedAsyncioTestCase):
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def setUp(self) -> None:
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self.presidio_patch = patch.object(
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guardrail,
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"_try_load_presidio",
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return_value=(None, None),
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)
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self.presidio_patch.start()
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self.addCleanup(self.presidio_patch.stop)
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def test_prepare_turn_keeps_raw_text_but_builds_masked_engine_messages(self) -> None:
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ctx = _prepare_context()
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self.assertEqual(ctx.learner_text_raw, RAW_TEXT)
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for raw in RAW_VALUES:
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self.assertIn(raw, ctx.learner_text_raw)
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self.assertNotIn(raw, ctx.learner_text_masked)
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self.assertNotIn(raw, _message_blob(ctx.messages))
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for masked in MASK_VALUES:
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self.assertIn(masked, ctx.learner_text_masked)
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self.assertIn(masked, _message_blob(ctx.messages))
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def test_prepare_turn_masks_raw_pii_from_context_inputs(self) -> None:
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ctx = orchestrator.prepare_turn(
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session_id="masking-session",
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case_id="masking-case",
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card=persona.P1,
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state=_initial_state(),
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learner_text="Current text has no identifiers.",
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recall_summary=f"Recall mentioned {RAW_PHONE}.",
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pinned_facts=[f"Pinned email {RAW_EMAIL}."],
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recent_turns=[
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{"speaker": "counselor", "text": f"Previous raw RRN {RAW_RRN}."},
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],
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)
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blob = _message_blob(ctx.messages)
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for raw in RAW_VALUES:
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self.assertNotIn(raw, blob)
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for masked in MASK_VALUES:
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self.assertIn(masked, blob)
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async def test_run_turn_generate_sends_only_masked_engine_payload(self) -> None:
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ctx = _prepare_context()
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engine = CaptureGenerateEngine()
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await orchestrator.run_turn_generate(ctx, engine) # type: ignore[arg-type]
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self.assertIsNotNone(engine.request)
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self.assertIsNotNone(engine.payload)
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_assert_no_raw_pii(self, engine.request.messages)
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_assert_no_raw_pii(self, engine.payload)
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_assert_masked_pii_present(self, engine.request.messages)
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_assert_masked_pii_present(self, engine.payload)
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self.assertEqual(ctx.learner_text_raw, RAW_TEXT)
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async def test_run_turn_stream_sends_only_masked_engine_payload(self) -> None:
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ctx = _prepare_context()
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engine = CaptureStreamEngine()
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events = [
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event
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async for event in orchestrator.run_turn_stream(ctx, engine) # type: ignore[arg-type]
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]
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self.assertEqual([event.event for event in events], ["token", "done"])
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self.assertIsNotNone(engine.request)
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self.assertIsNotNone(engine.payload)
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_assert_no_raw_pii(self, engine.request.messages)
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_assert_no_raw_pii(self, engine.payload)
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_assert_masked_pii_present(self, engine.request.messages)
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_assert_masked_pii_present(self, engine.payload)
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self.assertEqual(ctx.learner_text_raw, RAW_TEXT)
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if __name__ == "__main__":
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unittest.main()
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