release: dev → main (сдача хакатона) #106
@@ -12,6 +12,7 @@ from datetime import datetime
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from zoneinfo import ZoneInfo
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from sqlalchemy import select, text
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from sqlalchemy.exc import SQLAlchemyError
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from app.core import clock
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from app.core.intake_runtime import due_scales, intake_enabled, load_runtime
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@@ -21,6 +22,7 @@ from app.db.intake import QuestionnaireTask
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from app.db.session import get_clinical_session
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from app.dialog.contracts import Event, Reply, get_engine
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from app.integrations.base import integrations
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from app.services import monitoring
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from app.services import questionnaire as service
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log = logging.getLogger(__name__)
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@@ -163,6 +165,10 @@ async def _run():
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async def start():
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global _worker
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try:
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await monitoring.init_clock_persistence()
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except (OSError, SQLAlchemyError) as exc:
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log.error("clock persistence unavailable error=%s", type(exc).__name__)
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if _worker is None and intake_enabled():
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_worker = asyncio.create_task(_run())
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@@ -0,0 +1,157 @@
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"""Monitoring service (#38): patient snapshot → deterministic rules → persisted alerts (ADR-007).
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`after_data_change(token)` is called by the dialog engine after it commits clinical data (and by the scheduler
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on silence). It builds a `PatientSnapshot`, runs `app.core.rules.evaluate`, then in one transaction:
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* writes every `alert`/`crisis` action to `alerts` (a crisis is an `acute` alert) and, for a crisis,
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an audit record `crisis_acute` (guardrail #6);
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* applies `enhanced_monitoring` to the profile;
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* refreshes the cached `status_color` of the profile (ADR-006; the source of truth stays the open alerts).
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After the commit the doctor is notified through `integrations.notifier` (a crisis also goes to the doctor on
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duty), and only the *dialog* actions are returned to the engine — it never creates alerts itself.
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A crisis rule whose acute alert is still open stays silent: the crisis script is already running and the
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doctor already knows, so it is neither restarted nor re-alerted (`rules.evaluate` never suppresses crises).
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The virtual clock offset is persisted in `clock_state` (ADR-005) by `init_clock_persistence()`.
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"""
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import asyncio
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import logging
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from datetime import datetime, timedelta
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from sqlalchemy.exc import SQLAlchemyError
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.core import clock
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from app.core.rules import Action, evaluate, patient_status
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from app.core.types import AlertLevel
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from app.db import repo
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from app.db.audit import audit
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from app.db.session import get_clinical_session
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from app.integrations.base import integrations
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from app.services.contracts import register_monitoring
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from app.services.snapshot import build_snapshot
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log = logging.getLogger(__name__)
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SYSTEM_ACTOR = "system"
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# Notification address of the doctor on duty: acute alerts must reach someone even when the attending doctor
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# is off (SPEC: crisis → immediate escalation). The notifier maps it to the duty channel.
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ON_DUTY_DOCTOR = "on-duty"
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# Persisted by the service itself, never passed to the dialog engine.
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_SERVICE_ACTIONS = frozenset({"alert", "enhanced_monitoring"})
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async def refresh_status(session: AsyncSession, token: str) -> str:
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"""Recompute and cache the dashboard colour from open alerts (also call it after an ack)."""
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alerts = await repo.list_alerts(session, token=token, open_only=True)
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status = patient_status(AlertLevel[a.level.upper()] for a in alerts)
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await repo.upsert_profile(session, token=token, status_color=status.color)
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return status.color
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def _drop_running_crises(actions: list[Action], open_acute: set[str]) -> list[Action]:
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"""Silence every action of a crisis rule whose acute alert is still open (see module docstring)."""
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running = {a.code for a in actions if a.type == "crisis" and a.code in open_acute}
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return [a for a in actions if a.code not in running]
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class RuleMonitoring:
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async def after_data_change(self, token: str) -> list[Action]:
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now = clock.now()
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notify: list[tuple[str, str, str]] = [] # (doctor_id, level, text) — sent after the commit
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async with get_clinical_session() as s:
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profile = await repo.get_profile(s, token)
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snapshot = await build_snapshot(s, token, now, profile=profile)
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if profile is None or snapshot is None:
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return []
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open_acute = {a.code for a in await repo.list_alerts(s, token=token, open_only=True) if a.level == "acute"}
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actions = _drop_running_crises(evaluate(snapshot), open_acute)
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for action in actions:
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if action.type == "enhanced_monitoring":
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profile.enhanced_monitoring = True
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if not action.creates_alert or action.level is None:
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continue
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alert = await repo.add_alert(
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s,
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token=token,
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level=action.level,
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code=action.code,
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reason=action.reason_ru,
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ts=now,
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params=action.params,
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)
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level = action.level.name.lower()
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notify.append((profile.doctor_id, level, action.reason_ru))
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if action.type == "crisis":
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await audit(
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s,
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actor=SYSTEM_ACTOR,
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action="crisis_acute",
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token=token,
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details={"alert_id": alert.id, "code": action.code},
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ts=now,
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)
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notify.append((ON_DUTY_DOCTOR, level, action.reason_ru))
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await refresh_status(s, token)
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log.info("monitoring token=%s actions=%s", token, [a.code for a in actions])
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for doctor_id, level, text in notify:
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await _notify(doctor_id, level, text, token)
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return [a for a in actions if a.type not in _SERVICE_ACTIONS]
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async def is_in_crisis(self, token: str) -> bool:
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async with get_clinical_session() as s:
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alerts = await repo.list_alerts(s, token=token, open_only=True)
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return any(a.level == "acute" for a in alerts)
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async def _notify(doctor_id: str, level: str, text: str, token: str) -> None:
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# The alert is already committed and visible on the dashboard; a failing channel must not undo it.
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try:
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await integrations.notifier.send(doctor_id, level, text, token) # type: ignore[arg-type]
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except Exception as exc: # noqa: BLE001 — any channel error
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log.warning("notify failed token=%s level=%s error=%s", token, level, type(exc).__name__)
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register_monitoring(RuleMonitoring)
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# ---------------------------------------------------------------------------------- demo clock persistence
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_writes: set[asyncio.Task[None]] = set()
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async def _write_offset() -> None:
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# Writes the offset current at write time, so out-of-order tasks still leave the latest value stored.
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try:
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async with get_clinical_session() as s:
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await repo.save_clock_offset(s, clock.offset().total_seconds())
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except (OSError, SQLAlchemyError) as exc:
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log.warning("clock offset not saved error=%s", type(exc).__name__)
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def _save_offset(_: timedelta) -> None:
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"""Sync hook for `clock.register_persistence`: schedules the DB write on the running loop."""
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try:
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loop = asyncio.get_running_loop()
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except RuntimeError:
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log.warning("clock offset not saved: no running event loop")
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return
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task = loop.create_task(_write_offset())
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_writes.add(task)
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task.add_done_callback(_writes.discard)
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async def flush_clock_writes() -> None:
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"""Wait for pending offset writes (tests, shutdown)."""
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if _writes:
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await asyncio.gather(*list(_writes))
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async def init_clock_persistence() -> datetime:
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"""Restore the virtual clock offset from `clock_state` and save every later change there."""
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async with get_clinical_session() as s:
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stored = timedelta(seconds=await repo.load_clock_offset(s))
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clock.register_persistence(lambda: stored, _save_offset)
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log.info("clock offset restored seconds=%s", int(stored.total_seconds()))
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return clock.now()
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@@ -0,0 +1,93 @@
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"""Patient snapshot for the rules engine, assembled from the clinical DB (ADR-007).
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Maps storage names to `app.core.rules` names (`sleep_bucket` → `sleep_hours_bucket`, `alcohol_bucket` →
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`alcohol`), derives age from `birth_year` and the therapy day from `therapy_start`. Time comes in as `as_of`
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(from `app.core.clock`), never from the wall clock. Must not import `app.db.identity` (guardrail #5).
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"""
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from datetime import datetime, timedelta
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from typing import Any, get_args
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from sqlalchemy import func, select
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.core.rules import (
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CssrsRisk,
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DailyCheckin,
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DoseRecord,
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Module,
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PatientSnapshot,
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ScalePoint,
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)
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from app.db import repo
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from app.db.clinical import Dose, Message, PatientProfile
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# Risk screens are stored as scale results but reach the rules as `cssrs_risk`, not as scale points.
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CSSRS_SCALES = frozenset({"cssrs_screen", "cssrs"})
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# A C-SSRS result counts as the current risk for this long (same window as PHQ-9 item 9 and the dialog's
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# C-SSRS cooldown): one old "high" must not restart the crisis protocol after the doctor has acted on it.
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CSSRS_RECENT = timedelta(hours=24)
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# Unknown sex/age fall back to the more cautious option: lower AUDIT-C cut-off, young-adult monitoring.
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_UNKNOWN_SEX = "f"
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_UNKNOWN_AGE = 0
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_MODULES = frozenset(get_args(Module))
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_CSSRS_RISKS = frozenset(get_args(CssrsRisk))
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def _cssrs_risk(results: list[Any], as_of: datetime) -> CssrsRisk | None:
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recent = [r for r in results if r.scale in CSSRS_SCALES and as_of - CSSRS_RECENT < r.ts <= as_of]
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if not recent:
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return None
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severity = recent[-1].severity
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return severity if severity in _CSSRS_RISKS else None
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async def build_snapshot(
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session: AsyncSession, token: str, as_of: datetime, *, profile: PatientProfile | None = None
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) -> PatientSnapshot | None:
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"""Snapshot of everything the rules may look at; None if the patient has no clinical profile."""
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profile = profile or await repo.get_profile(session, token)
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if profile is None:
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return None
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checkins = [
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DailyCheckin(
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day=c.day,
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mood=c.mood,
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med_taken=c.med_taken,
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sleep_hours_bucket=c.sleep_bucket, # type: ignore[arg-type]
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alcohol=c.alcohol_bucket, # type: ignore[arg-type]
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side_effects=list(c.side_effects or []),
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quit_intent=bool(c.quit_intent),
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nightmares=c.nightmares,
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)
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for c in await repo.list_checkins(session, token)
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]
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results = [r for r in await repo.list_scale_results(session, token) if r.complete]
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doses = (await session.scalars(select(Dose).where(Dose.token == token).order_by(Dose.planned_at))).all()
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last_in = await session.scalar(
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select(func.max(Message.ts)).where(Message.token == token, Message.direction == "in")
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)
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state = await repo.get_dialog_state(session, token)
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facts = (state.data.get("facts") or {}) if state is not None else {}
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return PatientSnapshot(
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token=token,
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as_of=as_of,
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age=as_of.year - profile.birth_year if profile.birth_year else _UNKNOWN_AGE,
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sex=profile.sex if profile.sex in ("m", "f") else _UNKNOWN_SEX, # type: ignore[arg-type]
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modules={m for m in profile.modules or [] if m in _MODULES}, # type: ignore[misc]
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therapy_day=(as_of.date() - profile.therapy_start).days if profile.therapy_start else 0,
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checkins=checkins,
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scale_results=[
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ScalePoint(scale=r.scale, ts=r.ts, total=r.total, item9=r.item9, scheduled=r.scheduled)
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for r in results
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if r.scale not in CSSRS_SCALES
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],
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doses=[DoseRecord(planned_at=d.planned_at, status=d.status) for d in doses], # type: ignore[arg-type]
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cssrs_risk=_cssrs_risk(results, as_of),
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weapon_access=facts.get("weapon_access"),
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last_patient_message_at=last_in,
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open_alert_codes=await repo.open_alert_codes(session, token),
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)
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+13
-3
@@ -1,14 +1,24 @@
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from fastapi.testclient import TestClient
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from app.db import session
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from app.db.bootstrap import init_db
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from app.dialog.contracts import Event, get_engine
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from app.main import app
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from app.services.contracts import get_monitoring
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MEM = "sqlite+aiosqlite:///:memory:"
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async def test_stubs_are_usable() -> None:
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replies = await get_engine().handle("tok", Event(type="text", text="привет"))
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assert replies and replies[0].text
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assert await get_monitoring().after_data_change("tok") == []
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await session.configure(identity_url=MEM, clinical_url=MEM)
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await init_db()
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try:
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replies = await get_engine().handle("tok", Event(type="text", text="привет"))
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assert replies and replies[0].text
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assert await get_monitoring().after_data_change("tok") == [] # unknown patient → no actions
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assert await get_monitoring().is_in_crisis("tok") is False
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finally:
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await session.configure()
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def test_api_fixture_routes() -> None:
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@@ -0,0 +1,279 @@
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"""MonitoringService (#38): snapshot from the clinical DB → real rules → alerts, colour cache, audit, notify."""
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from collections.abc import AsyncIterator
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from datetime import datetime, timedelta
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from typing import Any
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import pytest
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from sqlalchemy import select
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from app.config import Settings
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from app.core import clock
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from app.core.types import ScrubbedText
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from app.db import repo, session
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from app.db.audit import AuditLog
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from app.db.bootstrap import init_db
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from app.db.clinical import Dose, Prescription
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from app.integrations.base import MemoryNotifier, integrations
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from app.services import contracts, monitoring
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from app.services.snapshot import build_snapshot
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TOKEN = "a" * 32
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DOCTOR = "doc-smirnova"
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MEM = "sqlite+aiosqlite:///:memory:"
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DAY0 = datetime(2026, 10, 5, 8, 0)
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# Persona (docs/product/01_demo_persona.md): day → (dose taken, mood, sleep, nightmares, alcohol, side effects,
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# quit intent). Same table as tests/test_dialog_veteran_days.py, written straight to the DB.
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TABLE: dict[int, tuple[bool, int, str, bool, str, list[str], bool]] = {
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1: (True, 4, "4-6", True, "none", [], False),
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2: (True, 4, "4-6", True, "none", ["nausea"], False),
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3: (True, 4, "4-6", True, "none", ["nausea"], False),
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4: (True, 3, "4-6", False, "none", ["nausea"], False),
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5: (False, 3, "4-6", False, "none", [], True),
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6: (True, 4, "6-8", False, "none", [], False),
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7: (True, 4, "6-8", False, "none", [], False),
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8: (True, 4, "<4", True, "1-2", [], False),
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9: (True, 4, "<4", True, "more", [], False),
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10: (True, 4, "<4", True, "more", [], False),
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11: (True, 3, "4-6", False, "1-2", [], False),
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12: (True, 3, "4-6", False, "none", [], False),
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13: (True, 2, "<4", True, "none", [], False),
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}
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COLORS = ["green"] * 3 + ["yellow"] * 2 + ["green"] * 4 + ["yellow"] * 3 + ["red"]
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class FailingNotifier:
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async def send(self, *args: Any, **kwargs: Any) -> None:
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raise ConnectionError("channel down")
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@pytest.fixture
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async def db(monkeypatch: pytest.MonkeyPatch) -> AsyncIterator[MemoryNotifier]:
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monkeypatch.setattr(clock, "get_settings", lambda: Settings(_env_file=None, demo_clock=True))
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notifier = MemoryNotifier()
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monkeypatch.setattr(integrations, "notifier", notifier)
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clock.set_now(DAY0)
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await session.configure(identity_url=MEM, clinical_url=MEM)
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await init_db()
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async with session.get_clinical_session() as s:
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await repo.upsert_profile(
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s,
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token=TOKEN,
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doctor_id=DOCTOR,
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modules=["veteran", "depression"],
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therapy_start=clock.today(),
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birth_year=1992,
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sex="m",
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)
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s.add(Prescription(token=TOKEN, drug="сертралин", dose="50 мг", schedule={"times": ["08:00"]}))
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for scale, total in (("pcl5", 46), ("phq9", 14), ("auditc", 3)):
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await repo.add_scale_result(
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s,
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token=TOKEN,
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scale=scale,
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total=total,
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severity="-",
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complete=True,
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ts=clock.now() - timedelta(days=3),
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item9=0 if scale == "phq9" else None,
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)
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await repo.set_dialog_state(s, token=TOKEN, state="idle", data={}, now=clock.now())
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yield notifier
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clock.register_persistence(None, None)
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clock.reset()
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await session.configure()
|
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|
||||
|
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async def scale(
|
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name: str, total: int, *, item9: int | None = None, severity: str = "-", scheduled: bool = True
|
||||
) -> None:
|
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async with session.get_clinical_session() as s:
|
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await repo.add_scale_result(
|
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s,
|
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token=TOKEN,
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scale=name,
|
||||
total=total,
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severity=severity,
|
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complete=True,
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ts=clock.now(),
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item9=item9,
|
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scheduled=scheduled,
|
||||
)
|
||||
|
||||
|
||||
async def color() -> str | None:
|
||||
async with session.get_clinical_session() as s:
|
||||
profile = await repo.get_profile(s, TOKEN)
|
||||
assert profile is not None
|
||||
return profile.status_color
|
||||
|
||||
|
||||
async def ack_all() -> None:
|
||||
async with session.get_clinical_session() as s:
|
||||
for a in await repo.list_alerts(s, token=TOKEN, open_only=True):
|
||||
await repo.ack_alert(s, alert_id=a.id, doctor_id=DOCTOR, ts=clock.now())
|
||||
await monitoring.refresh_status(s, TOKEN)
|
||||
|
||||
|
||||
async def live_day(day: int) -> None:
|
||||
"""What the dialog writes on one persona day: the dose, an incoming message and the evening check-in."""
|
||||
taken, mood, sleep, nightmares, alcohol, effects, quit_intent = TABLE[day]
|
||||
clock.set_now(DAY0 + timedelta(days=day))
|
||||
async with session.get_clinical_session() as s:
|
||||
rx = await s.scalar(select(Prescription))
|
||||
assert rx is not None
|
||||
s.add(Dose(token=TOKEN, prescription_id=rx.id, planned_at=clock.now(), status="taken" if taken else "skipped"))
|
||||
await repo.add_message(s, token=TOKEN, direction="in", text=ScrubbedText("..."), ts=clock.now())
|
||||
await repo.upsert_checkin(
|
||||
s,
|
||||
token=TOKEN,
|
||||
day=clock.today(),
|
||||
now=clock.now(),
|
||||
mood=mood,
|
||||
med_taken=taken,
|
||||
sleep_bucket=sleep,
|
||||
alcohol_bucket=alcohol,
|
||||
nightmares=nightmares,
|
||||
side_effects=effects,
|
||||
quit_intent=quit_intent,
|
||||
)
|
||||
|
||||
|
||||
async def test_service_is_registered() -> None:
|
||||
assert isinstance(contracts.get_monitoring(), monitoring.RuleMonitoring)
|
||||
|
||||
|
||||
async def test_andrey_13_days(db: MemoryNotifier) -> None:
|
||||
mon = monitoring.RuleMonitoring()
|
||||
colors: list[str | None] = []
|
||||
returned: dict[int, list[str]] = {}
|
||||
for day in range(1, 14):
|
||||
if day == 6:
|
||||
await ack_all() # the doctor called Andrey after the day-5 alerts
|
||||
await live_day(day)
|
||||
if day == 7:
|
||||
await scale("pcl5", 44)
|
||||
await scale("phq9", 13, item9=0)
|
||||
actions = await mon.after_data_change(TOKEN)
|
||||
if day == 13:
|
||||
assert [a.code for a in actions] == ["mood_low_3d"] # dialog action: unscheduled PHQ-9
|
||||
await scale("cssrs_screen", 0, severity="none", scheduled=False)
|
||||
await scale("phq9", 18, item9=2, scheduled=False)
|
||||
actions += await mon.after_data_change(TOKEN)
|
||||
returned[day] = [a.type for a in actions]
|
||||
colors.append(await color())
|
||||
|
||||
assert colors == COLORS
|
||||
assert "med_info" in returned[5] and "alert" not in returned[5] # alerts are persisted, not returned
|
||||
assert {"med_info", "suggest_visit"} <= set(returned[10])
|
||||
assert {"crisis", "show_safety_plan", "schedule_scale"} <= set(returned[13])
|
||||
async with session.get_clinical_session() as s:
|
||||
alerts = list(await repo.list_alerts(s, token=TOKEN))
|
||||
crisis_audit = (await s.scalars(select(AuditLog).where(AuditLog.action == "crisis_acute"))).all()
|
||||
codes = [a.code for a in reversed(alerts)]
|
||||
assert codes == [
|
||||
"side_effect_3d",
|
||||
"quit_intent",
|
||||
"sleep_lt4_3n",
|
||||
"alcohol_3d",
|
||||
"phq9_item9", # same evaluation: YAML order
|
||||
"phq9_rise",
|
||||
]
|
||||
assert len(crisis_audit) == 1 and crisis_audit[0].token == TOKEN and crisis_audit[0].actor == "system"
|
||||
acute = [(d, lvl) for d, lvl, _text, _tok in db.sent if lvl == "acute"]
|
||||
assert acute == [(DOCTOR, "acute"), (monitoring.ON_DUTY_DOCTOR, "acute")]
|
||||
assert all(tok == TOKEN for *_rest, tok in db.sent)
|
||||
assert await mon.is_in_crisis(TOKEN)
|
||||
|
||||
|
||||
async def test_running_crisis_is_not_restarted(db: MemoryNotifier) -> None:
|
||||
mon = monitoring.RuleMonitoring()
|
||||
await scale("phq9", 18, item9=1)
|
||||
first = await mon.after_data_change(TOKEN)
|
||||
assert any(a.type == "crisis" for a in first)
|
||||
clock.advance(hours=1)
|
||||
again = await mon.after_data_change(TOKEN)
|
||||
assert not any(a.code == "phq9_item9" for a in again)
|
||||
async with session.get_clinical_session() as s:
|
||||
assert [a.code for a in await repo.list_alerts(s, token=TOKEN, open_only=True) if a.level == "acute"] == [
|
||||
"phq9_item9"
|
||||
]
|
||||
await ack_all()
|
||||
assert not await mon.is_in_crisis(TOKEN)
|
||||
assert await color() == "green"
|
||||
|
||||
|
||||
async def test_old_cssrs_high_does_not_restart_crisis(db: MemoryNotifier) -> None:
|
||||
mon = monitoring.RuleMonitoring()
|
||||
await scale("cssrs_screen", 4, severity="high", scheduled=False)
|
||||
assert any(a.type == "crisis" for a in await mon.after_data_change(TOKEN))
|
||||
await ack_all()
|
||||
clock.advance(days=2)
|
||||
assert not any(a.type == "crisis" for a in await mon.after_data_change(TOKEN))
|
||||
|
||||
|
||||
async def test_weapon_access_from_dialog_facts(db: MemoryNotifier) -> None:
|
||||
async with session.get_clinical_session() as s:
|
||||
await repo.set_dialog_state(
|
||||
s, token=TOKEN, state="idle", data={"facts": {"weapon_access": True}}, now=clock.now()
|
||||
)
|
||||
snap = await build_snapshot(s, TOKEN, clock.now())
|
||||
assert snap is not None and snap.weapon_access is True
|
||||
await scale("cssrs_screen", 3, severity="moderate", scheduled=False)
|
||||
actions = await monitoring.RuleMonitoring().after_data_change(TOKEN)
|
||||
assert {a.code for a in actions if a.type == "crisis"} == {"weapon_access_risk"}
|
||||
plan = next(a for a in actions if a.type == "show_safety_plan")
|
||||
assert plan.params["block"] == "means_restriction"
|
||||
assert await color() == "red"
|
||||
|
||||
|
||||
async def test_snapshot_mapping_and_unknown_patient(db: MemoryNotifier) -> None:
|
||||
clock.set_now(DAY0 + timedelta(days=4))
|
||||
await live_day(4)
|
||||
async with session.get_clinical_session() as s:
|
||||
snap = await build_snapshot(s, TOKEN, clock.now())
|
||||
assert await build_snapshot(s, "f" * 32, clock.now()) is None
|
||||
assert snap is not None
|
||||
assert (snap.age, snap.sex, snap.therapy_day, snap.modules) == (34, "m", 4, {"veteran", "depression"})
|
||||
c = snap.checkins[-1]
|
||||
assert (c.sleep_hours_bucket, c.alcohol, c.side_effects) == ("4-6", "none", ["nausea"])
|
||||
assert [p.scale for p in snap.scale_results] == ["pcl5", "phq9", "auditc"]
|
||||
assert snap.last_patient_message_at is not None and snap.last_patient_message_at.date() == clock.today()
|
||||
assert await monitoring.RuleMonitoring().after_data_change("f" * 32) == []
|
||||
|
||||
|
||||
async def test_young_adult_enhanced_monitoring(db: MemoryNotifier) -> None:
|
||||
async with session.get_clinical_session() as s:
|
||||
await repo.upsert_profile(s, token=TOKEN, birth_year=2004)
|
||||
actions = await monitoring.RuleMonitoring().after_data_change(TOKEN)
|
||||
assert not any(a.type == "enhanced_monitoring" for a in actions) # applied by the service itself
|
||||
async with session.get_clinical_session() as s:
|
||||
profile = await repo.get_profile(s, TOKEN)
|
||||
assert profile is not None and profile.enhanced_monitoring is True
|
||||
assert not await repo.list_alerts(s, token=TOKEN)
|
||||
assert await color() == "green"
|
||||
|
||||
|
||||
async def test_notifier_failure_keeps_alert(db: MemoryNotifier, monkeypatch: pytest.MonkeyPatch) -> None:
|
||||
monkeypatch.setattr(integrations, "notifier", FailingNotifier())
|
||||
await scale("pcl5", 55)
|
||||
await monitoring.RuleMonitoring().after_data_change(TOKEN)
|
||||
async with session.get_clinical_session() as s:
|
||||
assert [(a.code, a.level) for a in await repo.list_alerts(s, token=TOKEN)] == [("pcl5_severe", "high")]
|
||||
assert await color() == "yellow"
|
||||
|
||||
|
||||
async def test_clock_offset_persists(db: MemoryNotifier) -> None:
|
||||
clock.reset()
|
||||
await monitoring.init_clock_persistence()
|
||||
clock.advance(days=3)
|
||||
await monitoring.flush_clock_writes()
|
||||
async with session.get_clinical_session() as s:
|
||||
assert await repo.load_clock_offset(s) == pytest.approx(timedelta(days=3).total_seconds())
|
||||
|
||||
# "Restart": in-memory offset lost, restored from clock_state.
|
||||
clock.register_persistence(None, None)
|
||||
clock.reset()
|
||||
await monitoring.init_clock_persistence()
|
||||
assert clock.offset() == timedelta(days=3)
|
||||
Reference in New Issue
Block a user