vignette/docs/ops/resistance-openness-db-smoke-2026-06-28.md

Resistance Openness DB Smoke

Date: 2026-06-28

Command

C:\Users\encep\AppData\Local\Programs\Python\Python311\python.exe scripts/smoke-resistance-openness-db.py --api-base-url http://127.0.0.1:8000 --timeout 240 --out docs/ops/resistance-openness-db-smoke-2026-06-28.json

Result

The smoke created two fresh P1 learner sessions through the real API path:

• dev-login
• onboarding and consent
• POST /sessions
• five POST /sessions/{id}/turn calls
• direct DB read from app.session_state, app.turns, and app.turn_client_state

Evidence

Track	Session	API Curve	DB Final State
Empathy	a6c4d731-875e-4023-a369-b07de65f511e	0.0 -> 0.0 -> 0.095 -> 0.133 -> 0.171, stage 탐색 from turn 3	stage 탐색, turn_seq=5, effective_openness=0.17100003361701965, rapport_credit=0.8100000023841858, resistance=0.5199999213218689
Advice jump	5bf60d80-12f5-45ef-99fd-1856d02f6bb4	0.0 -> 0.0 -> 0.0 -> 0.0 -> 0.0, stage 라포 throughout	stage 라포, turn_seq=5, effective_openness=0.0, rapport_credit=0.0, resistance=0.9580000042915344

The DB also stored fast-loop turn_client_state rows for both sessions. The full JSON output is docs/ops/resistance-openness-db-smoke-2026-06-28.json.

Verdict

PASS. The deterministic resistance engine opens the P1 session under empathic responses and keeps the session closed under advice-jump responses. The result is backed by both API turn responses and DB state.