feat(dashboard): doctor dashboard with red zones, patient card, live alerts and patient connect

- Patient list sorted red -> yellow -> grey -> green with KPI row, trend arrows,
  7-day adherence bars, discontinuation-risk badge with factor tooltip.
- Patient card: scales with severity bands from config/scales (unscheduled marked),
  mood/sleep/alcohol small multiples, dose heat-strip, alerts feed with ack,
  safety plan, AI summary with disclaimer.
- Live alerts: st.fragment(run_every=2.5s) polling, toast + pinned acute banner on
  every page; full rerun on new alert only on doctor pages.
- Connect form -> POST /patients/connect -> code, QR, deep link.
- Thin httpx ApiClient over the frozen schemas with graceful "API недоступен".
- app.py discovers dashboard/pages/*.py automatically (st.navigation); demo pages
  of #17 plug in by adding a file.

Refs #16

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

dashboard/components/charts.py

@@ -0,0 +1,173 @@
+"""Plotly figures of the patient card. Pure builders: data in, `go.Figure` out (tested without Streamlit).
+
+Chart rules: one y-axis per chart (scales of different range are separate charts, daily metrics are small
+multiples on a shared time axis), a single neutral series colour, status colours only for thresholds.
+"""
+
+from __future__ import annotations
+
+from collections.abc import Iterable
+from datetime import date, timedelta
+
+import plotly.graph_objects as go
+from plotly.subplots import make_subplots
+
+from app.api.schemas import SeriesPoint
+from dashboard import theme
+from dashboard.components.helpers import SCALE_MAX, metric_points, severity_bands, short_date
+
+# Band shading: one warm hue with growing opacity (sequential), so "higher = worse" reads without a legend.
+_BAND_ALPHA = [0.0, 0.05, 0.09, 0.14, 0.20]
+
+
+def _day_ticks(days: list[date], max_ticks: int = 10) -> dict[str, object]:
+    if not days:
+        return {}
+    first, last = min(days), max(days)
+    span = (last - first).days + 1
+    step = max(1, -(-span // max_ticks))
+    ticks = [first + timedelta(days=i) for i in range(0, span, step)]
+    return {"tickmode": "array", "tickvals": ticks, "ticktext": [short_date(d) for d in ticks]}
+
+
+def _point_label(p: SeriesPoint) -> str:
+    return f"{p.value:g}" if p.scheduled else f"{p.value:g} · внепл."
+
+
+def _therapy_day(d: date, start: date | None) -> str:
+    return f"день {(d - start).days}" if start else short_date(d)
+
+
+def scale_figure(
+    series: Iterable[SeriesPoint], scale_id: str, title: str, start: date | None = None
+) -> go.Figure | None:
+    """Total score over time with the severity gradations from config/scales; unscheduled sessions are hollow."""
+    pts = metric_points(series, scale_id)
+    if not pts:
+        return None
+    top = SCALE_MAX.get(scale_id, max(p.value for p in pts))
+    fig = go.Figure()
+    bands = severity_bands(scale_id)
+    for i, b in enumerate(bands):
+        alpha = _BAND_ALPHA[min(i, len(_BAND_ALPHA) - 1)] if len(bands) > 3 else [0.0, 0.08, 0.18][min(i, 2)]
+        fig.add_hrect(y0=b.lo, y1=b.hi + 1 if b.hi < top else top, line_width=0, fillcolor=f"rgba(214,69,69,{alpha})")
+        fig.add_annotation(
+            x=0,
+            xref="paper",
+            xanchor="left",
+            y=(b.lo + min(b.hi + 1, top)) / 2,
+            text=b.label,
+            showarrow=False,
+            font={"size": 10, "color": "rgba(122,130,140,0.85)"},
+        )
+    xs = [p.day for p in pts]
+    hover = [f"{short_date(p.day)} · {_therapy_day(p.day, start)}" for p in pts]
+    fig.add_trace(
+        go.Scatter(
+            x=xs,
+            y=[p.value for p in pts],
+            mode="lines+markers+text",
+            line={"color": theme.SERIES, "width": 2},
+            marker={
+                "size": [9 if p.scheduled else 13 for p in pts],
+                "symbol": ["circle" if p.scheduled else "diamond-open" for p in pts],
+                "color": theme.SERIES,
+                "line": {"width": [2 if p.scheduled else 2.5 for p in pts], "color": "#FFFFFF"},
+            },
+            text=[_point_label(p) if i == len(pts) - 1 else "" for i, p in enumerate(pts)],
+            textposition="top left",
+            textfont={"color": theme.INK, "size": 12},
+            customdata=[[h, "плановый" if p.scheduled else "внеплановый"] for h, p in zip(hover, pts, strict=True)],
+            hovertemplate="%{customdata[0]}<br><b>%{y:g}</b> баллов · %{customdata[1]}<extra></extra>",
+            name=title,
+        )
+    )
+    pad = timedelta(days=1)
+    fig.update_layout(
+        theme.plotly_layout(title={"text": title, "font": {"size": 14, "color": theme.INK}, "x": 0}, height=260),
+        hovermode="closest",
+    )
+    fig.update_xaxes(**theme.AXIS, **_day_ticks(xs, 4), tickangle=0, range=[min(xs) - pad, max(xs) + pad])
+    fig.update_yaxes(**theme.AXIS, range=[0, top], fixedrange=True)
+    return fig
+
+
+def wellbeing_figure(series: Iterable[SeriesPoint], start: date | None = None) -> go.Figure | None:
+    """Daily check-in as three small multiples on one time axis: mood 0–10, sleep hours, alcohol 0/1/2."""
+    data = list(series)
+    mood, sleep, alcohol = (metric_points(data, m) for m in ("mood", "sleep_hours", "alcohol"))
+    if not (mood or sleep or alcohol):
+        return None
+    days = sorted({p.day for p in mood + sleep + alcohol})
+    fig = make_subplots(
+        rows=3,
+        cols=1,
+        shared_xaxes=True,
+        vertical_spacing=0.09,
+        row_heights=[0.42, 0.33, 0.25],
+        subplot_titles=("Настроение, 0–10", "Сон, часов", "Алкоголь"),
+    )
+    red_line = {"color": theme.TONES["red"].solid, "width": 1, "dash": "dot"}
+
+    def hov(p: SeriesPoint) -> str:
+        return f"{short_date(p.day)} · {_therapy_day(p.day, start)}"
+
+    if mood:
+        # Mood ≤ 3 for three days triggers an unscheduled PHQ-9 (config/rules.yaml) — shade that zone.
+        fig.add_hrect(y0=0, y1=3, line_width=0, fillcolor="rgba(214,69,69,0.08)", row=1, col=1)
+        fig.add_trace(
+            go.Scatter(
+                x=[p.day for p in mood],
+                y=[p.value for p in mood],
+                mode="lines+markers",
+                line={"color": theme.SERIES, "width": 2},
+                marker={"size": 8, "color": theme.SERIES, "line": {"width": 2, "color": "#FFFFFF"}},
+                customdata=[hov(p) for p in mood],
+                hovertemplate="%{customdata}<br>настроение <b>%{y:g}</b>/10<extra></extra>",
+            ),
+            row=1,
+            col=1,
+        )
+    if sleep:
+        fig.add_trace(
+            go.Bar(
+                x=[p.day for p in sleep],
+                y=[p.value for p in sleep],
+                marker={"color": [theme.TONES["red"].solid if p.value < 4 else "#9DBFEA" for p in sleep]},
+                marker_cornerradius=4,
+                customdata=[hov(p) for p in sleep],
+                hovertemplate="%{customdata}<br>сон ≈ <b>%{y:g}</b> ч<extra></extra>",
+            ),
+            row=2,
+            col=1,
+        )
+        fig.add_hline(y=4, line=red_line, row=2, col=1)
+    if alcohol:
+        alc_label = {0: "нет", 1: "1–2 порции", 2: "больше"}
+        fig.add_trace(
+            go.Bar(
+                x=[p.day for p in alcohol],
+                y=[max(p.value, 0.08) for p in alcohol],
+                marker={
+                    "color": [
+                        {0: theme.LINE, 1: theme.TONES["yellow"].solid}.get(int(p.value), theme.TONES["red"].solid)
+                        for p in alcohol
+                    ]
+                },
+                marker_cornerradius=4,
+                customdata=[[hov(p), alc_label.get(int(p.value), "?")] for p in alcohol],
+                hovertemplate="%{customdata[0]}<br>алкоголь: <b>%{customdata[1]}</b><extra></extra>",
+            ),
+            row=3,
+            col=1,
+        )
+    fig.update_layout(theme.plotly_layout(height=430, bargap=0.25, hovermode="x"))
+    fig.update_annotations(font={"size": 12, "color": theme.INK_2}, x=0, xanchor="left")
+    pad = timedelta(hours=14)
+    fig.update_xaxes(**theme.AXIS, range=[days[0] - pad, days[-1] + pad])
+    fig.update_xaxes(**_day_ticks(days), row=3, col=1)
+    fig.update_yaxes(**theme.AXIS, fixedrange=True)
+    fig.update_yaxes(range=[0, 10.5], tickvals=[0, 3, 5, 10], row=1, col=1)
+    fig.update_yaxes(range=[0, 9], tickvals=[0, 4, 8], row=2, col=1)
+    fig.update_yaxes(range=[0, 2.2], tickvals=[0, 1, 2], ticktext=["0", "1–2", "3+"], row=3, col=1)
+    return fig

dashboard/components/helpers.py

@@ -0,0 +1,299 @@
+"""Pure presentation logic of the dashboard (no Streamlit calls), unit-tested in tests/test_dashboard_helpers.py.
+
+Clinical meaning stays on the backend: colours come from ADR-006 levels computed by the rules engine and the
+discontinuation-risk index is computed server-side. Here we only order, label and reshape that data for display.
+"""
+
+from __future__ import annotations
+
+import random
+import re
+from collections.abc import Iterable, Sequence
+from dataclasses import dataclass, field
+from datetime import date, datetime
+from functools import cache
+from pathlib import Path
+from zoneinfo import ZoneInfo
+
+import yaml
+
+from app.api.schemas import AlertOut, DiscontinuationRisk, DoseOut, PatientListItem, SeriesPoint
+
+TZ = ZoneInfo("Europe/Moscow")
+REPO_ROOT = Path(__file__).resolve().parents[2]
+
+# ADR-006 ordering for the doctor's attention: acute first, then high/moderate, then info-only, then quiet.
+STATUS_ORDER = {"red": 0, "yellow": 1, "grey": 2, "green": 3}
+
+MODULE_LABELS = {"veteran": "ветеран", "depression": "депрессия", "family": "семья"}
+LEVEL_LABELS = {"acute": "Кризис", "high": "Высокий", "moderate": "Умеренный", "info": "Инфо"}
+MONTHS_SHORT = ["янв", "фев", "мар", "апр", "мая", "июн", "июл", "авг", "сен", "окт", "ноя", "дек"]
+
+DRUGS: dict[str, list[str]] = {
+    "сертралин": ["25 мг", "50 мг", "100 мг", "150 мг"],
+    "пароксетин": ["10 мг", "20 мг", "30 мг"],
+    "эсциталопрам": ["5 мг", "10 мг", "20 мг"],
+    "флуоксетин": ["20 мг", "40 мг"],
+}
+
+
+# ------------------------------------------------------------------ list: ordering, filtering, KPIs
+def sort_patients(items: Iterable[PatientListItem]) -> list[PatientListItem]:
+    """red → yellow → grey → green; inside a colour the higher discontinuation risk goes first."""
+    return sorted(items, key=lambda p: (STATUS_ORDER[p.status_color], -p.discontinuation_risk.score, p.display_name))
+
+
+def filter_patients(
+    items: Iterable[PatientListItem], color: str | None = None, query: str = ""
+) -> list[PatientListItem]:
+    q = query.strip().lower()
+    return [
+        p
+        for p in items
+        if (color is None or p.status_color == color)
+        and (not q or q in p.display_name.lower() or q in (p.drug or "").lower())
+    ]
+
+
+@dataclass(frozen=True)
+class Kpis:
+    total: int
+    red: int
+    yellow: int
+    grey: int
+    green: int
+    high_risk: int
+
+
+def kpis(items: Sequence[PatientListItem]) -> Kpis:
+    by = {c: sum(1 for p in items if p.status_color == c) for c in STATUS_ORDER}
+    high = sum(1 for p in items if p.discontinuation_risk.level == "high")
+    return Kpis(len(items), by["red"], by["yellow"], by["grey"], by["green"], high)
+
+
+# ------------------------------------------------------------------ small visual mappings
+@dataclass(frozen=True)
+class View:
+    text: str
+    tone: str  # key of theme.TONES
+    hint: str = ""
+
+
+def trend_view(trend: str) -> View:
+    """Direction of symptom scores; "up" means symptoms got worse (schemas.PatientListItem.trend)."""
+    return {
+        "up": View("↑", "red", "симптомы нарастают"),
+        "down": View("↓", "green", "симптомы снижаются"),
+        "flat": View("→", "grey", "без динамики"),
+    }.get(trend, View("·", "grey", "мало данных"))
+
+
+def risk_view(risk: DiscontinuationRisk) -> View:
+    """Badge for the rule-based discontinuation-risk index (score 0–100) with factors as a tooltip."""
+    label, tone = {"high": ("Высокий", "red"), "medium": ("Средний", "yellow"), "low": ("Низкий", "green")}[risk.level]
+    factors = "\n".join(f"• {f}" for f in risk.factors) or "• значимых факторов нет"
+    return View(f"{label} · {risk.score}", tone, f"Риск прерывания терапии: {risk.score}/100\n{factors}")
+
+
+def adherence_view(adherence: float | None) -> View:
+    """7-day adherence. ≥ 80 % is the usual "adherent" cut-off for antidepressants; < 60 % needs a call."""
+    if adherence is None:
+        return View("—", "grey")
+    pct = round(adherence * 100)
+    tone = "green" if adherence >= 0.8 else "yellow" if adherence >= 0.6 else "red"
+    return View(f"{pct}%", tone)
+
+
+def status_view(color: str, top_level: str | None = None) -> View:
+    if color == "red":
+        return View("Кризис", "red", "острый сигнал — связаться сегодня")
+    if color == "yellow":
+        return View("Внимание", "yellow", "врачу ≤ 24 ч или к визиту")
+    if color == "grey":
+        return View("Нет ответа", "grey", "молчание / только инфо-флаги")
+    return View("Стабильно", "green", "открытых сигналов нет")
+
+
+def level_tone(level: str) -> str:
+    return {"acute": "red", "high": "yellow", "moderate": "yellow"}.get(level, "grey")
+
+
+# ------------------------------------------------------------------ scales
+@dataclass(frozen=True)
+class Band:
+    lo: float
+    hi: float
+    code: str
+    label: str
+
+
+SCALE_MAX = {"phq9": 27, "pcl5": 80}
+
+
+@cache
+def severity_bands(scale_id: str) -> tuple[Band, ...]:
+    """Severity gradations from config/scales/<id>.yaml (ADR-008: thresholds live in config, not code)."""
+    path = REPO_ROOT / "config" / "scales" / f"{scale_id}.yaml"
+    try:
+        data = yaml.safe_load(path.read_text(encoding="utf-8")) or {}
+    except OSError:
+        return ()
+    rows = data.get("severity", [])
+    return tuple(Band(float(b["min"]), float(b["max"]), str(b["code"]), str(b["label"])) for b in rows)
+
+
+def severity_label(scale_id: str, value: float | None) -> str:
+    if value is None:
+        return ""
+    for b in severity_bands(scale_id):
+        if b.lo <= value <= b.hi:
+            return b.label
+    return ""
+
+
+def metric_points(series: Iterable[SeriesPoint], metric: str) -> list[SeriesPoint]:
+    return sorted((p for p in series if p.metric == metric), key=lambda p: p.day)
+
+
+def last_and_prev(series: Iterable[SeriesPoint], metric: str) -> tuple[float | None, float | None]:
+    pts = metric_points(series, metric)
+    last = pts[-1].value if pts else None
+    prev = pts[-2].value if len(pts) > 1 else None
+    return last, prev
+
+
+# ------------------------------------------------------------------ dose calendar
+@dataclass
+class DoseGrid:
+    """Heat-strip of doses: one column per calendar day, one row per scheduled time of day."""
+
+    days: list[date] = field(default_factory=list)
+    slots: list[str] = field(default_factory=list)
+    cells: dict[tuple[str, date], str] = field(default_factory=dict)
+    counts: dict[str, int] = field(default_factory=dict)
+
+    @property
+    def adherence(self) -> float | None:
+        """Share of resolved doses taken (pending doses are not counted yet)."""
+        resolved = sum(self.counts.get(s, 0) for s in ("taken", "missed", "skipped"))
+        return self.counts.get("taken", 0) / resolved if resolved else None
+
+
+def _local(dt: datetime) -> datetime:
+    return dt.astimezone(TZ) if dt.tzinfo else dt
+
+
+def dose_grid(doses: Iterable[DoseOut]) -> DoseGrid:
+    grid = DoseGrid(counts={"taken": 0, "missed": 0, "skipped": 0, "pending": 0})
+    items = sorted(doses, key=lambda d: d.planned_at)
+    if not items:
+        return grid
+    days: set[date] = set()
+    slots: set[str] = set()
+    for d in items:
+        local = _local(d.planned_at)
+        day, slot = local.date(), local.strftime("%H:%M")
+        days.add(day)
+        slots.add(slot)
+        grid.cells[(slot, day)] = d.status
+        grid.counts[d.status] += 1
+    first, last = min(days), max(days)
+    grid.days = [date.fromordinal(o) for o in range(first.toordinal(), last.toordinal() + 1)]
+    grid.slots = sorted(slots)
+    return grid
+
+
+# ------------------------------------------------------------------ alerts
+def apply_local_acks(alerts: Iterable[AlertOut], acks: dict[int, tuple[str, datetime]]) -> list[AlertOut]:
+    """Overlay acks done in this session (so the UI reflects the click even before the next poll)."""
+    out = []
+    for a in alerts:
+        if a.acked_at is None and a.id in acks:
+            by, at = acks[a.id]
+            a = a.model_copy(update={"acked_by": by, "acked_at": at})
+        out.append(a)
+    return out
+
+
+def split_new(alerts: Iterable[AlertOut], seen: set[int]) -> list[AlertOut]:
+    return sorted((a for a in alerts if a.id not in seen), key=lambda a: a.id)
+
+
+def sort_alerts(alerts: Iterable[AlertOut]) -> list[AlertOut]:
+    """Open first (acute before others), then newest first."""
+    rank = {"acute": 0, "high": 1, "moderate": 2, "info": 3}
+    return sorted(alerts, key=lambda a: (a.acked_at is not None, rank.get(a.level, 9), -a.ts.timestamp()))
+
+
+# ------------------------------------------------------------------ Russian formatting
+def plural_ru(n: int, one: str, few: str, many: str) -> str:
+    n = abs(n)
+    if n % 10 == 1 and n % 100 != 11:
+        return one
+    if 2 <= n % 10 <= 4 and not 12 <= n % 100 <= 14:
+        return few
+    return many
+
+
+def age_label(age: int) -> str:
+    if age <= 0:
+        return "возраст не указан"
+    return f"{age} {plural_ru(age, 'год', 'года', 'лет')}"
+
+
+def short_date(d: date) -> str:
+    return f"{d.day} {MONTHS_SHORT[d.month - 1]}"
+
+
+def when_label(dt: datetime, today: date | None = None) -> str:
+    local = _local(dt)
+    day = "сегодня" if today and local.date() == today else short_date(local.date())
+    return f"{day}, {local:%H:%M}"
+
+
+def visit_label(visit: date | None, today: date | None) -> str:
+    if visit is None:
+        return "визит не назначен"
+    if today is None:
+        return f"визит {short_date(visit)}"
+    delta = (visit - today).days
+    if delta == 0:
+        return "визит сегодня"
+    if delta < 0:
+        return f"визит {short_date(visit)} (просрочен)"
+    return f"визит {short_date(visit)} · через {delta} {plural_ru(delta, 'день', 'дня', 'дней')}"
+
+
+# ------------------------------------------------------------------ connect form
+def absolute_link(link: str, public_url: str) -> str:
+    """The API may return a relative web-console link (`/console?code=…`); a QR needs an absolute URL."""
+    if link.startswith(("http://", "https://", "tg://")):
+        return link
+    return public_url.rstrip("/") + "/" + link.lstrip("/")
+
+
+def snils_checksum(digits: str) -> int:
+    """Control number of a SNILS (Pension Fund algorithm): Σ digit·(9−i), then mod 101, 100/101 → 0."""
+    s = sum(int(ch) * (9 - i) for i, ch in enumerate(digits))
+    if s < 100:
+        return s
+    if s in (100, 101):
+        return 0
+    s %= 101
+    return 0 if s == 100 else s
+
+
+def format_snils(digits: str, check: int) -> str:
+    return f"{digits[0:3]}-{digits[3:6]}-{digits[6:9]} {check:02d}"
+
+
+def is_valid_snils(value: str) -> bool:
+    d = re.sub(r"\D", "", value)
+    return len(d) == 11 and snils_checksum(d[:9]) == int(d[9:])
+
+
+def synthetic_snils(rng: random.Random | None = None) -> str:
+    """Random checksum-valid SNILS for synthetic test patients. Starts with 000 so it never looks like a real one."""
+    r = rng or random.Random()
+    digits = "000" + "".join(str(r.randint(0, 9)) for _ in range(6))
+    return format_snils(digits, snils_checksum(digits))

dashboard/components/live_alerts.py

@@ -0,0 +1,85 @@
+"""Live alerts across all pages: polls the API every few seconds, toasts new alerts, pins open acute ones on top.
+
+Uses the built-in `st.fragment(run_every=...)`: only this fragment re-runs on the timer, the page is untouched
+unless a new alert arrives on a doctor page (then the whole app reruns so the list and the card pick it up).
+"""
+
+from __future__ import annotations
+
+from html import escape
+
+import streamlit as st
+
+from app.api.schemas import AlertOut
+from dashboard import theme
+from dashboard.api_client import ApiError
+from dashboard.components import helpers as h
+from dashboard.components import state, ui
+
+POLL_SECONDS = 2.5
+MAX_BANNER = 3
+
+
+def _toast(a: AlertOut) -> None:
+    icon = theme.TONES[h.level_tone(a.level)].icon
+    st.toast(f"**{a.patient_name}** — {a.reason}", icon=icon, duration="long" if a.level == "acute" else "short")
+
+
+def flush_pending_toasts() -> None:
+    """Toasts queued right before a full-app rerun are shown on the next run (a rerun drops pending deltas)."""
+    for a in st.session_state.pop("pending_toasts", []):
+        _toast(a)
+
+
+def _banner(acute: list[AlertOut]) -> None:
+    for a in acute[:MAX_BANNER]:
+        left, right = st.columns([8, 1.6], vertical_alignment="center")
+        with left:
+            st.html(
+                ui.banner(
+                    f"<b>Кризисный сигнал · {escape(a.patient_name)}</b> — {escape(a.reason)}"
+                    f'<div style="font-size:.8rem;margin-top:2px">{escape(h.when_label(a.ts))} · '
+                    "по протоколу — связаться с пациентом сегодня</div>",
+                    tone="red",
+                    pulse=True,
+                )
+            )
+        with right:
+            if st.button(
+                "Карточка", key=f"acute-open-{a.id}", type="primary", icon=":material/arrow_forward:", width="stretch"
+            ):
+                st.switch_page(state.PATIENTS_PAGE, query_params={"patient": a.token})
+    if len(acute) > MAX_BANNER:
+        st.caption(f"Ещё кризисных сигналов: {len(acute) - MAX_BANNER}")
+
+
+def render(*, rerun_app_on_new: bool = True) -> None:
+    """Place once per run (app.py does it above every page)."""
+
+    @st.fragment(run_every=POLL_SECONDS)
+    def _poll() -> None:
+        ss = st.session_state
+        try:
+            alerts = state.client().alerts(open_only=True)
+        except ApiError:
+            return  # pages show their own "API недоступен" banner; the poller just retries next tick
+        acked = state.local_acks()
+        alerts = [a for a in alerts if a.acked_at is None and a.id not in acked]
+
+        seen: set[int] | None = ss.get("seen_alert_ids")
+        if seen is None:
+            # First poll of the session: what is already open is not "new" — no toast storm on page load.
+            ss["seen_alert_ids"] = {a.id for a in alerts}
+            new: list[AlertOut] = []
+        else:
+            new = h.split_new(alerts, seen)
+            seen.update(a.id for a in new)
+
+        if new and rerun_app_on_new:
+            ss["pending_toasts"] = ss.get("pending_toasts", []) + new
+            st.rerun(scope="app")
+        for a in new:
+            _toast(a)
+        _banner(h.sort_alerts(a for a in alerts if a.level == "acute"))
+
+    _poll()

dashboard/components/patient_card.py

@@ -0,0 +1,212 @@
+"""Patient card: header, key numbers, charts, dose calendar, alerts feed with ack, safety plan, AI summary."""
+
+from __future__ import annotations
+
+from datetime import date
+from html import escape
+
+import streamlit as st
+
+from app.api.schemas import AlertOut, PatientCard
+from dashboard import theme
+from dashboard.api_client import ApiError
+from dashboard.components import charts, state, ui
+from dashboard.components import helpers as h
+
+
+def dose_strip_html(grid: h.DoseGrid, start: date | None) -> str:
+    """Heat-strip: columns = days, rows = scheduled times. Glyphs duplicate colour for colour-blind readers."""
+    if not grid.days:
+        return '<div class="mt-dim">Данных о приёме пока нет</div>'
+    glyph = {"taken": "✓", "missed": "✕", "skipped": "–", "pending": "·"}
+    label = {"taken": "принял", "missed": "нет ответа", "skipped": "пропустил", "pending": "ожидается"}
+    cols = f"56px repeat({len(grid.days)}, minmax(18px, 1fr))"
+    cells = ['<div class="lab"></div>']
+    cells += [f'<div class="lab">{d.day}</div>' for d in grid.days]
+    for slot in grid.slots:
+        cells.append(f'<div class="lab" style="text-align:left">{slot}</div>')
+        for d in grid.days:
+            status = grid.cells.get((slot, d))
+            if status is None:
+                cells.append('<div class="cell c-none"></div>')
+                continue
+            day = f" · день {(d - start).days}" if start else ""
+            tip = f"{h.short_date(d)}{day}, {slot}: {label[status]}"
+            cells.append(f'<div class="cell c-{status}" title="{escape(tip)}">{glyph[status]}</div>')
+    c = grid.counts
+    legend = (
+        '<div class="mt-legend">'
+        f'<span><i style="background:var(--green)"></i>принял · {c["taken"]}</span>'
+        f'<span><i style="background:var(--yellow)"></i>пропустил · {c["skipped"]}</span>'
+        f'<span><i style="background:var(--red)"></i>нет ответа · {c["missed"]}</span>'
+        f'<span><i style="border:1.5px dashed var(--grey)"></i>ожидается · {c["pending"]}</span>'
+        "</div>"
+    )
+    return f'<div class="mt-doses" style="grid-template-columns:{cols}">{"".join(cells)}</div>{legend}'
+
+
+def _tile(label: str, value: str, hint: str = "", tone: str = "blue") -> str:
+    return (
+        f'<div class="mt-kpi" style="--kpi-accent:{theme.TONES[tone].solid}"><div class="lbl">{escape(label)}</div>'
+        f'<div class="val">{value}</div><div class="hint">{escape(hint)}</div></div>'
+    )
+
+
+def _score_tile(card: PatientCard, scale_id: str, title: str) -> str:
+    last, prev = h.last_and_prev(card.series, scale_id)
+    if last is None:
+        return _tile(title, '<span class="mt-dim">—</span>', "не проводился", "grey")
+    delta = ""
+    if prev is not None and last != prev:
+        arrow = "↑" if last > prev else "↓"
+        tone = "red" if last > prev else "green"
+        delta = f' <span style="font-size:1rem;color:{theme.TONES[tone].ink}">{arrow} с {prev:g}</span>'
+    sev = h.severity_label(scale_id, last)
+    return _tile(title, f"{last:g}{delta}", sev, "red" if last > (prev or last) else "blue")
+
+
+def _header(card: PatientCard, today: date | None) -> None:
+    p = card.patient
+    status = h.status_view(p.status_color)
+    risk = h.risk_view(p.discontinuation_risk)
+    chips = "".join(ui.chip(h.MODULE_LABELS.get(m, m)) for m in p.modules)
+    meta = (
+        f"{h.age_label(p.age)} · {chips} · {escape(p.drug or 'без назначения')} · день терапии {p.therapy_day}"
+        f" · {h.visit_label(p.next_visit, today)}"
+    )
+    st.html(
+        '<div class="mt-head"><div>'
+        f'<div style="margin-bottom:6px">{ui.badge(status.text, status.tone, status.hint, icon="dot")}</div>'
+        f'<h1>{escape(p.display_name)}</h1><div class="mt-sub">{meta}</div></div>'
+        f'<div class="mt-side"><div class="mt-kicker" style="margin-bottom:4px">Риск прерывания терапии</div>'
+        f"{ui.badge(risk.text, risk.tone, risk.hint)}"
+        f'<div class="mt-meta">{escape(", ".join(p.discontinuation_risk.factors))}</div>'
+        "</div></div>"
+    )
+
+
+def _ack(alert: AlertOut) -> None:
+    try:
+        res = state.client().ack(alert.id)
+    except ApiError as exc:
+        st.toast(f"Не удалось подтвердить: {exc.message}", icon="⚠️")
+        return
+    state.local_acks()[alert.id] = (res.acked_by or state.client().doctor_id, res.acked_at or state.now() or alert.ts)
+    st.toast(f"Алерт подтверждён: {alert.reason}", icon="✅")
+
+
+def _alerts_feed(alerts: list[AlertOut], today: date | None) -> None:
+    st.html('<div class="mt-panel-title">Алерты</div>')
+    if not alerts:
+        st.caption("Сигналов нет")
+        return
+    for a in h.sort_alerts(alerts):
+        tone = h.level_tone(a.level)
+        acked = a.acked_at is not None
+        level = h.LEVEL_LABELS.get(a.level, a.level)
+        status = f"подтверждён {h.when_label(a.acked_at, today)}" if a.acked_at else "открыт"
+        st.html(
+            f'<div class="mt-alert t-{tone}{" acked" if acked else ""}">'
+            f'<div class="when">{theme.TONES[tone].icon} {level} · {escape(h.when_label(a.ts, today))}</div>'
+            f'<div class="why">{escape(a.reason)}</div>'
+            f'<div class="when">{escape(status)}</div></div>'
+        )
+        if not acked:
+            st.button(
+                "Подтвердить",
+                key=f"ack-{a.id}",
+                on_click=_ack,
+                args=(a,),
+                icon=":material/check:",
+                type="primary" if a.level == "acute" else "secondary",
+                help="Врач видел сигнал и принял меры (запись в журнал аудита)",
+            )
+
+
+def _summary(text: str) -> None:
+    st.html('<div class="mt-panel-title">Саммари (ИИ, по структурированным данным)</div>')
+    body = escape(text) if text else '<span class="mt-dim">Саммари ещё не сформировано</span>'
+    st.html(
+        f'<div class="mt-summary">{body}<div class="disc">Сформировано по структурированным данным '
+        "(шкалы, чек-ины, приём, алерты) без свободного текста пациента. Решения принимает врач.</div></div>"
+    )
+
+
+def _safety_plan(plan: list[str] | None) -> None:
+    st.html('<div class="mt-panel-title">План безопасности</div>')
+    if not plan:
+        st.caption("Не составлен. Составляется с пациентом при острых сигналах (Stanley–Brown).")
+        return
+    items = "".join(f"<li>{escape(step)}</li>" for step in plan)
+    st.html(f'<div class="mt-plan"><ol>{items}</ol></div>')
+
+
+def _prescriptions(card: PatientCard) -> None:
+    st.html('<div class="mt-panel-title">Назначения</div>')
+    if not card.prescriptions:
+        st.caption(card.patient.drug or "Нет активных назначений")
+        return
+    for rx in card.prescriptions:
+        times = ", ".join(rx.schedule.get("times", []))
+        since = f" · с {h.short_date(rx.start_date)}" if rx.start_date else ""
+        st.html(
+            f'<div style="margin-bottom:6px"><b>{escape(rx.drug)} {escape(rx.dose)}</b>'
+            f'<div class="mt-meta">{escape(times)} · {escape(rx.instructions or "без особых указаний")}{since}</div>'
+            "</div>"
+        )
+
+
+def render(card: PatientCard, today: date | None) -> None:
+    card = card.model_copy(update={"alerts": h.apply_local_acks(card.alerts, state.local_acks())})
+    start = card.prescriptions[0].start_date if card.prescriptions else None
+    _header(card, today)
+
+    grid = h.dose_grid(card.doses)
+    adh = h.adherence_view(card.patient.adherence_7d)
+    open_alerts = [a for a in card.alerts if a.acked_at is None]
+    taken = f"{grid.counts['taken']} из {sum(grid.counts[s] for s in ('taken', 'missed', 'skipped'))} доз за курс"
+    st.html(
+        '<div class="mt-kpis">'
+        + _score_tile(card, "phq9", "PHQ-9 · депрессия")
+        + _score_tile(card, "pcl5", "PCL-5 · ПТСР")
+        + _tile("Приём за 7 дней", adh.text, taken if grid.days else "", adh.tone)
+        + _tile(
+            "Открытые алерты",
+            str(len(open_alerts)),
+            "есть кризисный" if any(a.level == "acute" for a in open_alerts) else "",
+            "red" if any(a.level == "acute" for a in open_alerts) else ("yellow" if open_alerts else "green"),
+        )
+        + "</div>"
+    )
+
+    main, side = st.columns([1.75, 1], gap="large")
+    with main:
+        with st.container(border=True):
+            c1, c2 = st.columns(2)
+            for col, scale_id, title in ((c1, "phq9", "PHQ-9"), (c2, "pcl5", "PCL-5")):
+                fig = charts.scale_figure(card.series, scale_id, title, start)
+                with col:
+                    if fig is None:
+                        st.caption("Шкала ещё не проводилась")
+                    else:
+                        st.plotly_chart(fig, config=theme.PLOTLY_CONFIG, key=f"chart-{scale_id}")
+            st.caption("◇ — внеплановое заполнение (по триггеру правил). Полосы — градации тяжести из config/scales.")
+        with st.container(border=True):
+            fig = charts.wellbeing_figure(card.series, start)
+            if fig is None:
+                st.caption("Ежедневных чек-инов пока нет")
+            else:
+                st.plotly_chart(fig, config=theme.PLOTLY_CONFIG, key="chart-wellbeing")
+                st.caption("Красная зона настроения ≤ 3 (3 дня → внеплановый PHQ-9); пунктир — сон 4 ч.")
+        with st.container(border=True):
+            st.html('<div class="mt-panel-title">Календарь приёма</div>')
+            st.html(dose_strip_html(grid, start))
+    with side:
+        with st.container(border=True):
+            _alerts_feed(card.alerts, today)
+        with st.container(border=True):
+            _summary(card.summary)
+        with st.container(border=True):
+            _safety_plan(card.safety_plan)
+        with st.container(border=True):
+            _prescriptions(card)

dashboard/components/state.py

@@ -0,0 +1,62 @@
+"""Session-level plumbing shared by all dashboard pages: API client, demo "today", local acks, error banners."""
+
+from __future__ import annotations
+
+import os
+from collections.abc import Callable
+from datetime import date, datetime
+from html import escape
+from typing import TypeVar
+
+import streamlit as st
+
+from dashboard.api_client import ApiClient, ApiError, ApiUnavailable
+from dashboard.components import ui
+
+T = TypeVar("T")
+
+# Short doctor names for the header; no other doctor PII is shown.
+DOCTORS = {"doc-smirnova": ("д-р Смирнова Е. А.", "д-ра Смирновой Е. А.")}
+
+PATIENTS_PAGE = "pages/1_Пациенты.py"
+CONNECT_PAGE = "pages/1b_Подключить_пациента.py"
+
+
+@st.cache_resource
+def _client(base_url: str | None, doctor_id: str | None) -> ApiClient:
+    return ApiClient(base_url, doctor_id)
+
+
+def client() -> ApiClient:
+    return _client(os.environ.get("API_BASE_URL"), os.environ.get("DOCTOR_ID"))
+
+
+def doctor_names() -> tuple[str, str]:
+    did = client().doctor_id
+    return DOCTORS.get(did, (did, did))
+
+
+def now() -> datetime | None:
+    """Demo clock from the API (ADR-005), so day 13 of the scenario is "today" on screen; None if unknown."""
+    c = client().clock()
+    return c.now if c else None
+
+
+def today() -> date | None:
+    n = now()
+    return n.date() if n else None
+
+
+def local_acks() -> dict[int, tuple[str, datetime]]:
+    return st.session_state.setdefault("acked_local", {})
+
+
+def call(fn: Callable[[], T]) -> T | None:
+    """Run an API call; on failure show a calm banner instead of a traceback and return None."""
+    try:
+        return fn()
+    except ApiUnavailable as exc:
+        st.html(ui.banner(f"<b>API недоступен.</b> {escape(exc.message)}. Данные обновятся автоматически.", "grey"))
+    except ApiError as exc:
+        st.html(ui.banner(f"<b>Не удалось загрузить данные.</b> {escape(exc.message)}", "grey"))
+    return None

dashboard/components/ui.py

@@ -0,0 +1,109 @@
+"""HTML fragments of the dashboard. Builders return strings (testable); `st.html` renders them.
+
+Every value coming from the API is escaped: patient free text never reaches these views, but the API is still
+treated as untrusted input.
+"""
+
+from __future__ import annotations
+
+from html import escape
+
+import streamlit as st
+
+from app.api.schemas import PatientListItem
+from dashboard import theme
+from dashboard.components import helpers as h
+
+
+def chip(text: str) -> str:
+    return f'<span class="mt-chip">{escape(text)}</span>'
+
+
+def badge(text: str, tone: str, tip: str = "", icon: str = "") -> str:
+    tip_attr = f' data-tip="{escape(tip)}"' if tip else ""
+    cls = " mt-tip" if tip else ""
+    lead = f'<span class="mt-dot" style="background:{theme.TONES[tone].solid}"></span>' if icon == "dot" else icon
+    return f'<span class="mt-badge t-{tone}{cls}"{tip_attr}>{lead}{escape(text)}</span>'
+
+
+def bar(fraction: float | None, tone: str) -> str:
+    pct = 0 if fraction is None else max(0, min(100, round(fraction * 100)))
+    return f'<div class="mt-bar"><span style="width:{pct}%;background:{theme.TONES[tone].solid}"></span></div>'
+
+
+def page_header(title: str, subtitle: str = "", kicker: str = "") -> str:
+    k = f'<div class="mt-kicker">{escape(kicker)}</div>' if kicker else ""
+    s = f'<div class="mt-sub">{subtitle}</div>' if subtitle else ""
+    return f'<div class="mt-head"><div>{k}<h1>{escape(title)}</h1>{s}</div></div>'
+
+
+def kpi_tiles(k: h.Kpis) -> str:
+    tiles = [
+        ("На сопровождении", str(k.total), "пациентов в кабинете", theme.TONES["blue"].solid),
+        ("🔴 Красная зона", str(k.red), "острый сигнал — связаться сегодня", theme.TONES["red"].solid),
+        ("🟡 Жёлтая зона", str(k.yellow), "врачу ≤ 24 ч или к визиту", theme.TONES["yellow"].solid),
+        ("Риск прерывания терапии", str(k.high_risk), "высокий индекс (правила, не ML)", theme.TONES["red"].solid),
+    ]
+    body = "".join(
+        f'<div class="mt-kpi" style="--kpi-accent:{accent}"><div class="lbl">{escape(lbl)}</div>'
+        f'<div class="val">{val}</div><div class="hint">{escape(hint)}</div></div>'
+        for lbl, val, hint, accent in tiles
+    )
+    return f'<div class="mt-kpis">{body}</div>'
+
+
+LIST_COLUMNS = ["Пациент", "Терапия", "PHQ-9", "PCL-5", "Приём 7 дн.", "Риск прерывания", "Последнее событие", "Алерты"]
+
+
+def list_header() -> str:
+    return '<div class="mt-cols">' + "".join(f"<div>{c}</div>" for c in LIST_COLUMNS) + "</div>"
+
+
+def _score(value: int | None, trend: str) -> str:
+    if value is None:
+        return '<span class="mt-dim">—</span>'
+    t = h.trend_view(trend)
+    return (
+        f'<span class="mt-num">{value}</span> '
+        f'<span class="mt-tip" data-tip="{escape(t.hint)}" style="color:{theme.TONES[t.tone].ink};font-weight:700">'
+        f"{t.text}</span>"
+    )
+
+
+def patient_row(p: PatientListItem) -> str:
+    """One row of the patient list; the grid matches `list_header()`."""
+    status = h.status_view(p.status_color)
+    tone = theme.TONES[status.tone]
+    chips = "".join(chip(h.MODULE_LABELS.get(m, m)) for m in p.modules)
+    adh = h.adherence_view(p.adherence_7d)
+    risk = h.risk_view(p.discontinuation_risk)
+    if p.open_alerts:
+        count_style = f"background:{tone.tint};color:{tone.ink}"
+    else:
+        count_style = f"background:{theme.TONES['grey'].tint};color:{theme.INK_3}"
+    return (
+        '<div class="mt-row">'
+        f'<div><div class="mt-name"><span class="mt-dot mt-tip" data-tip="{escape(status.text + " — " + status.hint)}"'
+        f' style="background:{tone.solid}"></span>{escape(p.display_name)}</div>'
+        f'<div class="mt-meta">{h.age_label(p.age)} · {chips}</div></div>'
+        f'<div>{escape(p.drug or "—")}<div class="mt-meta">день терапии {p.therapy_day}</div></div>'
+        f"<div>{_score(p.phq9_last, p.trend)}</div>"
+        f"<div>{_score(p.pcl5_last, p.trend)}</div>"
+        f'<div><span class="mt-num">{adh.text}</span>{bar(p.adherence_7d, adh.tone)}</div>'
+        f"<div>{badge(risk.text, risk.tone, risk.hint)}</div>"
+        f'<div class="mt-event">{escape(p.last_event or "—")}</div>'
+        f'<div><span class="mt-count" style="{count_style}">{p.open_alerts}</span></div>'
+        "</div>"
+    )
+
+
+def banner(html_body: str, tone: str = "red", pulse: bool = False) -> str:
+    lead = '<span class="mt-pulse"></span>' if pulse else ""
+    return f'<div class="mt-banner t-{tone}">{lead}<div>{html_body}</div></div>'
+
+
+def footer() -> None:
+    st.html(
+        '<div class="mt-footer">Прототип на синтетических данных · MedITron · '
+        "ИИ не ставит диагнозы и не назначает лечение — решения принимает врач</div>"
+    )