fix: chat replies in any situation — no false crisis re-fire, answers in crisis, medicine questions anywhere
CI / ruff · pytest (pull_request) Successful in 2m22s

- An acked crisis is not raised again for the same signal: re-raised only if a newer triggering scale exists
  (seen live: AUDIT-C 0/0/0 re-fired the acked PHQ-9 item 9 crisis).
- In an open crisis every non-acute message gets a reply (agent for questions, support otherwise) plus
  emergency contacts; acute messages still get the fixed script.
- Questions and medicine mentions without «?» are answered mid-questionnaire; free-text steps (check-in,
  side effects, question states) keep parsing their input.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
2026-10-04 18:23:03 +03:00
co-authored by Claude Opus 5.5
parent a026a8cd48
commit dd67905626
6 changed files with 118 additions and 7 deletions
+17 -6
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@@ -28,6 +28,7 @@ Logs carry only the token, states and event codes (guardrail #8).
import asyncio
import logging
import re
from dataclasses import dataclass, field
from datetime import datetime, timedelta
from typing import Any
@@ -67,8 +68,12 @@ from app.services.contracts import MonitoringService, get_monitoring
log = logging.getLogger(__name__)
LAST_PROMPT = "last_prompt"
MEDICINE_WORDS = re.compile(
r"(лекарств|таблет|препарат|сертралин|пароксетин|флуоксетин|эсциталопрам|антидепрессант|побочк)", re.I
)
# States with their own free-text handling (idle → flows' `text:idle`; explicit question states).
SIDE_ANSWER_SKIP = frozenset({"idle", "kb.question", "meds.question"})
FREE_TEXT_PREFIXES = ("daily.", "meds.", "kb.") # steps that expect free text (check-in, side effects, questions)
# Enter hooks may chain (scale done → next onboarding state → next scale); a cycle must not hang a request.
MAX_ENTER_CHAIN = 8
_patient_locks = WeakValueDictionary()
@@ -309,12 +314,18 @@ class Engine:
doctor acknowledges it, and acute messages never get here (handled above)."""
from app.dialog.flows.knowledge import knowledge_answer, looks_like_question
in_crisis = crisis_open(ctx.data) or ctx.state == "crisis"
if ctx.text is None or (ctx.state in SIDE_ANSWER_SKIP and not in_crisis):
return None
if not looks_like_question(ctx.text):
return None
answer = await knowledge_answer(ctx, explicit=True)
in_crisis = (crisis_open(ctx.data) or ctx.state == "crisis") and await ctx.monitoring.is_in_crisis(ctx.token)
free_text_step = ctx.state in SIDE_ANSWER_SKIP or ctx.state.startswith(FREE_TEXT_PREFIXES)
if ctx.text is None or (free_text_step and not in_crisis):
return None # idle / check-in / question states parse free text themselves
asks = looks_like_question(ctx.text) or bool(MEDICINE_WORDS.search(ctx.text))
if asks:
answer = await knowledge_answer(ctx, explicit=True)
elif in_crisis:
# Not a question, but in a crisis every message gets a human reply (with contacts below), never silence.
answer = await ctx.gateway.phrase("support")
else:
return None # e.g. a free-text answer to the current scale item — the step handles it
if not answer:
return None
log.info("dialog side answer token=%s state=%s crisis=%s", ctx.token, ctx.state, in_crisis)
+32
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@@ -51,6 +51,37 @@ async def refresh_status(session: AsyncSession, token: str) -> str:
return status.color
# Which data a crisis rule is triggered by: a crisis for the same code is raised again only when such data is
# newer than the last alert with that code (acked or not) — otherwise an acked PHQ-9 item 9 re-fired on every
# data change for 24 h (seen live: AUDIT-C answers 0/0/0 → crisis again).
_CRISIS_TRIGGERS: dict[str, tuple[str, ...]] = {
"phq9_item9": ("phq9",),
"cssrs_high": ("cssrs_screen",),
"cssrs_moderate": ("cssrs_screen",),
"weapon_access_risk": ("phq9", "cssrs_screen"),
}
async def _drop_handled_crises(s: AsyncSession, token: str, actions: list[Action]) -> list[Action]:
crisis_codes = {a.code for a in actions if a.type == "crisis"}
if not crisis_codes:
return actions
alerts = await repo.list_alerts(s, token=token)
results = await repo.list_scale_results(s, token)
handled: set[str] = set()
for code in crisis_codes:
last_alert = max((a.ts for a in alerts if a.code == code), default=None)
if last_alert is None:
continue
scales = _CRISIS_TRIGGERS.get(code)
last_data = max((r.ts for r in results if scales is None or r.scale in scales), default=None)
if last_data is None or last_data <= last_alert:
handled.add(code)
if handled:
log.info("monitoring token=%s crisis already handled=%s", token, sorted(handled))
return [a for a in actions if a.code not in handled]
def _drop_running_crises(actions: list[Action], open_acute: set[str]) -> list[Action]:
"""Silence every action of a crisis rule whose acute alert is still open (see module docstring)."""
running = {a.code for a in actions if a.type == "crisis" and a.code in open_acute}
@@ -68,6 +99,7 @@ class RuleMonitoring:
return []
open_acute = {a.code for a in await repo.list_alerts(s, token=token, open_only=True) if a.level == "acute"}
actions = _drop_running_crises(evaluate(snapshot), open_acute)
actions = await _drop_handled_crises(s, token, actions)
for action in actions:
if action.type == "enhanced_monitoring":
profile.enhanced_monitoring = True