feat(web): two-stage questionnaires, screening result and diary by result
- Sign-in: centred ЕМИАС card without the sidebar; anonymous entry asks «Депрессия / ПТСР».
- Stage 1 is the same for everyone and follows the fixed order of the MVP questionnaire:
PHQ-2 → trauma filter/TSQ → RUS-AUDIT-S → C-SSRS → context; stage 2 only where stage 1
is positive. Starts without a profile.
- After stage 1 the patient sees a preliminary result (screening, not a diagnosis), stored
with the record; it switches on the diary modules (depression / PTSD).
- Stage 2 diary: morning (sleep, sleep quality, alcohol) and evening (mood, medication,
3 PHQ-9 items in rotation, short PCL-5); C-SSRS since last contact only under risk;
flags on weekly means against the personal norm; scheduled full scales with change
(remission, response, worsening).
- Questionnaire log: GET /me/{token}/results and the «Мои результаты» screen.
- Questionnaires centred without the sidebar and without scale names; «Продолжить позже»
goes home; confirmations are toasts; free-text comments are optional.
- Demo policy config/questionnaire_demo.yaml (INTAKE_DEMO only, not a clinical approval).
ADR-012.
Refs #77
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
@@ -56,28 +56,51 @@ def test_medication_schedule_overlapping_and_delayed_completion():
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)
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def test_diary_consecutive_days_and_baseline_do_not_include_bad_window():
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today = date(2026, 10, 3)
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history = {today - timedelta(days=i): {"mood": 8} for i in range(3, 10)}
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for i in range(3):
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history[today - timedelta(days=i)] = {"mood": 5, "sleep_hours": 3.9, "medication": "none"}
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assert set(diary_flags(history, today)) == {"phq9_due_mood", "sleep_review", "medication_contact"}
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history[today - timedelta(days=1)] = {}
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assert diary_flags(history, today) == ()
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history[today]["death_thoughts"] = 1
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assert diary_flags(history, today) == ("suicide_assessment_now",)
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def norm_and_week(norm: dict, week: dict, today=date(2026, 10, 30)):
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"""14 days of personal norm starting 27 days ago, then the last 7 days with other values."""
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start = today - timedelta(days=27)
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history = {start + timedelta(days=i): dict(norm) for i in range(14)}
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history.update({today - timedelta(days=i): dict(week) for i in range(7)})
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return history, today
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def test_sleep_alternation_counts_but_threshold_is_strict():
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def test_weekly_mood_against_personal_norm():
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history, today = norm_and_week({"mood": 8}, {"mood": 5})
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assert "phq9_due_mood" in diary_flags(history, today)
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history, today = norm_and_week({"mood": 8}, {"mood": 6})
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assert "phq9_due_mood" not in diary_flags(history, today)
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# Inside the norm window there is no trend yet.
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early = {date(2026, 10, 1) + timedelta(days=i): {"mood": 9 if i < 3 else 1} for i in range(10)}
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assert "phq9_due_mood" not in diary_flags(early, date(2026, 10, 10))
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def test_module_trends_bring_full_scales_forward():
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ptsd = {"dpcl_1": 1, "dpcl_7": 1, "dpcl_10": 1, "dpcl_18": 1}
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history, today = norm_and_week(ptsd, {k: 2 for k in ptsd})
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assert "pcl5_due_ptsd" in diary_flags(history, today)
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history, today = norm_and_week({"dphq_4": 0}, {"dphq_4": 1})
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assert "phq9_due_depression" in diary_flags(history, today)
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def test_sleep_alcohol_and_medication_flags():
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today = date(2026, 10, 3)
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h = {
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today: {"nightmares": 3},
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today - timedelta(days=1): {"sleep_hours": 3.5},
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today - timedelta(days=2): {"sleep_hours": 3.5},
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}
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assert "sleep_review" in diary_flags(h, today)
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h[today - timedelta(days=1)]["sleep_hours"] = 4
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assert "sleep_review" not in diary_flags(h, today)
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nights = {today - timedelta(days=i): {"sleep_hours": 7, "sleep_quality": 0} for i in range(3)}
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nights[today - timedelta(days=1)] = {"sleep_hours": 3.5, "sleep_quality": 2}
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assert "sleep_review" in diary_flags(nights, today)
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nights[today - timedelta(days=1)]["sleep_hours"] = 4
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assert "sleep_review" not in diary_flags(nights, today)
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drinks = {today: {"alcohol_portions": 6}, today - timedelta(days=2): {"alcohol_portions": 7}}
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assert set(diary_flags(drinks, today, medication_active=True)) >= {"alcohol_on_medication", "rus_audit_due_alcohol"}
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assert "alcohol_on_medication" not in diary_flags(drinks, today)
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missed = {today - timedelta(days=i): {"medication": "no"} for i in range(3)}
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assert "medication_contact" in diary_flags(missed, today)
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week = {today - timedelta(days=i): {"medication": "yes" if i % 3 else "no"} for i in range(7)}
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assert "adherence_review" in diary_flags(week, today)
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assert diary_flags({today: {"medication": "no", "medication_reason": "side_effects"}}, today) == (
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"side_effects_review",
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)
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def test_total_threshold_and_zone_are_separate_decisions():
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@@ -96,15 +119,60 @@ def test_total_threshold_and_zone_are_separate_decisions():
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IntakePolicy.model_validate({**data, "rus_audit_s_expand_from_zone": 2})
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def test_module_rotation_never_drops_suicide_question():
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def test_diary_parts_and_module_rotation():
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from app.core.intake_questions import diary_questions
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first = {
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q.id for q in diary_questions(["veteran", "depression"], suicide_monitoring=False, weekday=0, day_index=100)
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}
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second = {
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q.id for q in diary_questions(["veteran", "depression"], suicide_monitoring=False, weekday=1, day_index=101)
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}
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assert "death_thoughts" in first & second
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assert "nightmares" in first and "nightmares" not in second
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assert "burden" in first and "burden" not in second
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assert [q.id for q in diary_questions("morning", ["veteran", "depression"])] == [
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"sleep_hours",
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"sleep_quality",
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"alcohol_portions",
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]
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evening = [q.id for q in diary_questions("evening", ["veteran", "depression"], day_index=0)]
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assert evening == ["mood", "medication", "medication_reason", "dphq_1", "dphq_2", "dphq_3"] + [
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"dpcl_1",
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"dpcl_7",
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"dpcl_10",
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"dpcl_18",
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]
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assert [q.id for q in diary_questions("evening", ["depression"], day_index=5)][-3:] == [
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"dphq_7",
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"dphq_8",
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"dphq_9",
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]
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assert [q.id for q in diary_questions("evening", [], day_index=1)] == ["mood", "medication", "medication_reason"]
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def test_demo_policy_is_separate_and_marked(monkeypatch):
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from app.config import get_settings
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monkeypatch.setenv("INTAKE_DEMO", "1")
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monkeypatch.setattr(get_settings(), "demo_clock", True)
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demo = load_policy()
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assert demo.approval and "DEMO" in demo.approval.reviewer and demo.cssrs_positive_policy == "graded"
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monkeypatch.delenv("INTAKE_DEMO")
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assert load_policy().approval is None
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def test_full_scale_change_against_the_start_of_observation():
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from app.core.interpretation import scale_interpretation
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def phq(total, baseline, previous=None):
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totals = {"phq9": {"complete": True, "total": total}}
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return scale_interpretation(
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"phq9", totals, baseline=baseline, previous=previous, policy=load_policy(), retriage_delta=5
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)["codes"]
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assert phq(4, 16) == ["minimal", "remission"]
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assert phq(8, 16) == ["mild", "response"]
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assert phq(11, 16) == ["moderate", "improved"]
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assert phq(15, 16) == ["moderately_severe", "stable"]
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assert phq(21, 10, previous=16) == ["severe", "worse"]
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pcl = scale_interpretation(
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"pcl5",
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{"pcl5": {"complete": True, "total": 27}},
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baseline=45,
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previous=40,
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policy=load_policy(),
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retriage_delta=10,
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)
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assert pcl["codes"] == ["below", "response"]
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