feat(web): questionnaires, diary and medication module in the patient app

- Focus screen renders versioned questionnaire items (iq: buttons): section chip, position
  (adaptive forms without "of N"), recall date, pause / help-now actions, optional skip,
  sleep-hours input, 0-10 scale anchors, RUS-AUDIT item 2 standard-drink table.
- Paused / held-for-review questionnaires get their own screen.
- Today: intake and diary tasks, review notice, therapy-day card on days 1/7/14.
- Drug card /meds/:ref from data/meds/meds_reference.json (draft built from the Minzdrav
  guidelines: depression 2024, PTSD 2023) — expected effect, course, side effects, red flags;
  no doses shown. "Report a side effect" always available (med:side_effects:<ref>).
- API: /instruments/catalog, /meds/reference; today gains questionnaire state, reference id,
  indication and therapy day; demo persona seeds the dashboard dose history.
- INTAKE_DEMO=1 (demo clock only) opens the questionnaires on synthetic data without touching
  the clinical release gate in config/intake_runtime.yaml.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
2026-10-04 08:53:13 +03:00
co-authored by Claude Opus 5.5
parent 40c242bb1a
commit 464b474abd
22 changed files with 3393 additions and 58 deletions
+82 -11
View File
@@ -1,4 +1,5 @@
"""Patient web app: sign-in and public reference data (`/api/v1/auth/*`, `/api/v1/crisis/resources`).
"""Patient web app: sign-in, the patient's own plan and public reference data (`/api/v1/auth/*`, `/me/*`,
`/crisis/resources`, `/instruments/catalog`, `/meds/reference`).
The web app is one more channel of the same dialog engine: after sign-in it talks to `/dialog/{token}/...`
exactly like the web console, and consent, onboarding, scales and check-ins come from the engine.
@@ -18,7 +19,8 @@ import logging
import secrets
from collections import defaultdict
from datetime import date, datetime, time, timedelta
from typing import Literal
from typing import Any, Literal
from zoneinfo import ZoneInfo
from fastapi import APIRouter, HTTPException
from pydantic import BaseModel, ConfigDict, Field
@@ -26,10 +28,14 @@ from sqlalchemy import select
from app.api import fixtures
from app.core import clock
from app.core.instrument_catalog import Catalog, catalog
from app.core.intake_runtime import intake_enabled, load_runtime
from app.core.meds_reference import find_drug, indication_for, load_reference
from app.core.safety import CrisisResource, crisis_reply
from app.db import repo
from app.db.clinical import DailyCheckin, Dose, Prescription
from app.db.identity import TOKEN_LEN
from app.db.intake import QuestionnaireRecord
from app.db.session import get_clinical_session
from app.integrations.emias_mock import CODE_MAX_LEN, EmiasMock
@@ -80,15 +86,21 @@ async def _seed_demo_persona(token: str) -> None:
token=token,
doctor_id=fixtures.DOCTOR_ID,
modules=list(item.modules),
therapy_start=today,
therapy_start=min((p.start_date for p in card.prescriptions if p.start_date), default=today),
next_visit=today + timedelta(days=15),
)
if await s.scalar(select(Prescription.id).where(Prescription.token == token)) is not None:
return
for p in card.prescriptions:
rx = Prescription(token=token, drug=p.drug, dose=p.dose, schedule=p.schedule, start_date=today)
rx = Prescription(
token=token, drug=p.drug, dose=p.dose, schedule=p.schedule, start_date=p.start_date or today
)
s.add(rx)
await s.flush()
# The dose history of the dashboard story (days before today), so the week marks match the doctor's card.
for d in card.doses:
if d.drug == p.drug and d.planned_at.astimezone(now.tzinfo).date() < today:
s.add(Dose(token=token, prescription_id=rx.id, planned_at=d.planned_at, status=d.status))
for t in p.schedule.get("times", []):
hh, mm = (int(x) for x in t.split(":"))
s.add(
@@ -147,6 +159,18 @@ class PrescriptionItem(BaseModel):
dose: str
times: list[str]
week: list[WeekDay] # Mon..Sun of the current week
ref_id: str | None = None # entry of /meds/reference, if the drug is covered
indication: Literal["depression", "ptsd"] | None = None
start_date: date | None = None
therapy_day: int | None = None # 1 on the start date (spec: M5, «ожидаемый эффект» cards on days 1/7/14)
class Questionnaires(BaseModel):
"""Questionnaire state for the home screen. Answers and scores are not exposed here."""
enabled: bool
intake: Literal["none", "active", "paused", "complete", "review"]
diary_done: bool
class TodayOut(BaseModel):
@@ -157,6 +181,19 @@ class TodayOut(BaseModel):
next_visit: date | None
doses: list[DoseItem]
prescriptions: list[PrescriptionItem]
questionnaires: Questionnaires
def _intake_state(records: list[QuestionnaireRecord]) -> Literal["none", "active", "paused", "complete", "review"]:
intake = [r for r in records if r.kind == "intake"]
if any(r.status == "complete" for r in intake):
return "complete"
if not intake:
return "none"
last = max(intake, key=lambda r: r.started_at).status
if last in ("active", "paused"):
return last
return "review" if last in ("review_required", "interrupted") else "none"
def _day_status(statuses: list[str]) -> Literal["taken", "missed", "pending", "none"]:
@@ -187,6 +224,7 @@ async def my_today(token: str) -> TodayOut:
)
).all()
checkin = await s.scalar(select(DailyCheckin).where(DailyCheckin.token == token, DailyCheckin.day == today))
records = list((await s.scalars(select(QuestionnaireRecord).where(QuestionnaireRecord.token == token))).all())
by_rx: dict[int, Prescription] = {p.id: p for p in prescriptions}
today_doses: list[DoseItem] = []
@@ -200,23 +238,40 @@ async def my_today(token: str) -> TodayOut:
DoseItem(id=d.id, drug=rx.drug, dose=rx.dose, time=local.strftime("%H:%M"), status=d.status)
)
week = [week_start + timedelta(days=i) for i in range(7)]
modules = list(profile.modules or []) if profile else []
diary_day = now.astimezone(ZoneInfo(load_runtime().timezone)).date()
diary_done = any(r.kind == "diary" and r.day == diary_day and r.status == "complete" for r in records)
def item(p: Prescription) -> PrescriptionItem:
ref = find_drug(p.drug)
return PrescriptionItem(
drug=p.drug,
dose=p.dose,
times=list((p.schedule or {}).get("times", [])),
week=[WeekDay(day=d, status=_day_status(marks[(p.id, d)])) for d in week],
ref_id=ref["id"] if ref else None,
indication=indication_for(modules, ref) if ref else None,
start_date=p.start_date,
therapy_day=(today - p.start_date).days + 1 if p.start_date else None,
)
return TodayOut(
today=today,
now=now.strftime("%H:%M"),
has_doctor=profile is not None,
checkin_done=checkin is not None and checkin.mood is not None,
checkin_done=(checkin is not None and checkin.mood is not None) or diary_done,
next_visit=profile.next_visit if profile else None,
doses=today_doses,
prescriptions=[
PrescriptionItem(
drug=p.drug,
dose=p.dose,
times=list((p.schedule or {}).get("times", [])),
week=[WeekDay(day=d, status=_day_status(marks[(p.id, d)])) for d in week],
)
item(p)
for p in prescriptions
if (p.end_date is None or p.end_date >= today) and (p.start_date is None or p.start_date <= today)
],
questionnaires=Questionnaires(
enabled=intake_enabled() and profile is not None,
intake=_intake_state(records),
diary_done=diary_done,
),
)
@@ -224,3 +279,19 @@ async def my_today(token: str) -> TodayOut:
async def crisis_resources() -> list[CrisisResource]:
"""Help lines for the always-visible «help now» button — the same list as the fixed crisis script."""
return crisis_reply([], "patient").resources
@router.get("/instruments/catalog", response_model=Catalog)
async def instruments_catalog() -> Catalog:
"""Form, position and recall period of every questionnaire item, for the question screen header."""
return catalog()
@router.get("/meds/reference")
async def meds_reference() -> dict[str, Any]:
"""Patient drug reference (draft from the Minzdrav guidelines): expected effect, course, side effects, red flags.
The internal rule parameters stay on the server.
"""
ref = load_reference()
return {k: v for k, v in ref.items() if k != "rules"}
+138
View File
@@ -0,0 +1,138 @@
"""Read-only catalog of questionnaire items for patient clients (web app).
The dialog engine sends a questionnaire question as plain text plus buttons; the button payload carries the item id
(`iq:<nonce>:<item>:<i>`, `scale:<scale>:<item>:<v>`). A client looks the item up here to show which form it belongs
to, its position and recall period. Nothing here changes what is asked or how it is scored — the texts stay those of
the versioned sources in config/.
"""
from functools import lru_cache
from typing import Any, Literal
import yaml
from pydantic import BaseModel
from app.config import get_settings
from app.core.cssrs_content import load_cssrs_russian
from app.core.intake_questions import content, texts
from app.core.scales import load_scale
Section = Literal["safety", "mood", "trauma", "alcohol", "about", "diary", "scale"]
# Forms whose item order depends on earlier answers: a client shows the position without «из N».
ADAPTIVE = {"cssrs", "rus_audit", "diary", "context"}
class FormInfo(BaseModel):
id: str
title: str
section: Section
recall_period: str | None = None
instruction: str | None = None
class ItemInfo(BaseModel):
form: str
index: int # 1-based position in the form
total: int
adaptive: bool
optional: bool = False
numeric: bool = False
class DrinksTable(BaseModel):
"""RUS-AUDIT item 2 standard-drink table, exactly as in config/texts/intake.yaml (the approved form)."""
title: str
header: list[str]
rows: list[tuple[str, list[str]]]
note: str
class Catalog(BaseModel):
forms: dict[str, FormInfo]
items: dict[str, ItemInfo]
standard_drinks: DrinksTable | None
def _drinks() -> DrinksTable | None:
raw = texts().get("standard_drinks")
if not raw:
return None
lines = [line.strip() for line in raw.splitlines() if line.strip()]
title, header_line, *rest = lines
rows = [line for line in rest if ":" in line]
note = " ".join(line for line in rest if ":" not in line)
return DrinksTable(
title=title,
header=[h.strip() for h in header_line.split("·")],
rows=[
(label.strip(), [c.strip() for c in cells.split("·")]) for label, cells in (r.split(":", 1) for r in rows)
],
note=note,
)
@lru_cache(maxsize=1)
def catalog() -> Catalog:
forms: dict[str, FormInfo] = {}
items: dict[str, ItemInfo] = {}
def add(form: FormInfo, ids: list[str], *, optional: set[str] = frozenset(), numeric: set[str] = frozenset()):
forms[form.id] = form
for i, item in enumerate(ids, 1):
items.setdefault(
item,
ItemInfo(
form=form.id,
index=i,
total=len(ids),
adaptive=form.id in ADAPTIVE,
optional=item in optional,
numeric=item in numeric,
),
)
cssrs = load_cssrs_russian()
add(FormInfo(id="cssrs", title=cssrs.title, section="safety"), ["cssrs_" + i.id for i in cssrs.items])
intake_forms: dict[str, Any] = content()["forms"]
for sid, section in (("phq9", "mood"), ("tsq", "trauma"), ("pcl5", "trauma"), ("rus_audit", "alcohol")):
raw = intake_forms.get(sid) or {}
scale = load_scale(sid)
add(
FormInfo(
id=sid,
title=raw.get("title") or scale.title,
section=section,
recall_period=raw.get("recall_period") or scale.recall_period,
instruction=raw.get("instruction") or scale.instruction,
),
list(scale.item_ids),
)
add(FormInfo(id="trauma", title="Травматическое событие", section="trauma"), ["trauma", "recent_trauma"])
add(FormInfo(id="context", title="Общие вопросы", section="about"), ["sex", "tbi", "psychotropics"])
diary = yaml.safe_load((get_settings().config_dir / "instruments/diary.yaml").read_text(encoding="utf-8"))
diary_items = [item for key in ("core", "ptsd", "depression", "suicide") for item in diary.get(key, [])]
add(
FormInfo(id="diary", title="Дневник самочувствия", section="diary"),
[i["id"] for i in diary_items],
optional={i["id"] for i in diary_items if i.get("optional")},
numeric={i["id"] for i in diary_items if i.get("numeric")},
)
# Scales of the onboarding / scheduled sessions (`scale:<id>:...` buttons): the form header only.
for path in sorted((get_settings().config_dir / "scales").glob("*.yaml")):
scale = load_scale(path.stem)
forms.setdefault(
scale.id,
FormInfo(
id=scale.id,
title=scale.title,
section="scale",
recall_period=scale.recall_period,
instruction=scale.instruction,
),
)
return Catalog(forms=forms, items=items, standard_drinks=_drinks())
+11 -1
View File
@@ -1,5 +1,6 @@
"""Versioned release gate and deterministic follow-up planning."""
import os
from calendar import monthrange
from datetime import date, timedelta
from pathlib import Path
@@ -64,8 +65,17 @@ def load_runtime(path: Path | None = None) -> RuntimePolicy:
return RuntimePolicy.model_validate(yaml.safe_load(path.read_text()))
def demo_intake() -> bool:
"""Demo-only switch (INTAKE_DEMO=1 with the virtual clock): shows the questionnaires on synthetic data.
It never touches the clinical release gate in config/intake_runtime.yaml; production runs keep the forms off
until the approvals are recorded there.
"""
return os.environ.get("INTAKE_DEMO", "").lower() in ("1", "true", "yes") and get_settings().demo_clock
def intake_enabled() -> bool:
return load_runtime().released and load_policy().approval is not None
return (load_runtime().released and load_policy().approval is not None) or demo_intake()
def month_before(day: date, months: int = 1) -> date:
+35
View File
@@ -0,0 +1,35 @@
"""Drug reference of the medication module (data/meds/meds_reference.json, built by scripts/build_meds_reference.py).
Read-only patient information collected from the Minzdrav clinical guidelines: when to expect the effect, how long
the course lasts, common side effects, red flags. It never suggests a drug or a dose — the app only follows the
doctor's prescription. Draft until reviewed by a psychiatrist (`status` in the file).
"""
import json
from functools import lru_cache
from typing import Any, Literal
from app.config import get_settings
Indication = Literal["depression", "ptsd"]
@lru_cache(maxsize=1)
def load_reference() -> dict[str, Any]:
path = get_settings().data_dir / "meds" / "meds_reference.json"
return json.loads(path.read_text(encoding="utf-8"))
def find_drug(name: str) -> dict[str, Any] | None:
"""Reference entry for a prescription's drug (INN in Russian or the latin id), or None if it is not covered."""
key = name.strip().split()[0].casefold() if name.strip() else ""
for drug in load_reference()["drugs"]:
if key in (drug["id"], drug["name_ru"].casefold()):
return drug
return None
def indication_for(modules: list[str], drug: dict[str, Any]) -> Indication | None:
"""The indication the patient is followed for, among those the drug has in the guidelines."""
preferred: list[Indication] = ["ptsd", "depression"] if "veteran" in modules else ["depression", "ptsd"]
return next((i for i in preferred if i in drug["indications"]), None)